Accumulation of amyloid precursor protein C-terminal fragments triggers mitochondrial structure, function, and mitophagy defects in Alzheimer’s disease models and human brains

Vaillant-Beuchot, Loan; Mary, Arnaud; Pardossi-Piquard, Raphaëlle; Bourgeois, Alexandre; Lauritzen, Inger; Eysert, Fanny; Kinoshita, Paula Fernanda; Cazareth, Julie; Badot, Céline; Fragaki, Konstantina; Bussiere, Renaud; Martin, Cécile; Mary, Rosanna; Bauer, Charlotte; Pagnotta, Sophie; Paquis-Flucklinger, Véronique; Buée-Scherrer, Valérie; Buée, Luc; Lacas-Gervais, Sandra; Checler, Frédéric; Chami, Mounia

doi:10.1007/s00401-020-02234-7

Original Paper
Open Access
Published: 20 October 2020

Accumulation of amyloid precursor protein C-terminal fragments triggers mitochondrial structure, function, and mitophagy defects in Alzheimer’s disease models and human brains

Loan Vaillant-Beuchot¹^na1,
Arnaud Mary¹^na1,
Raphaëlle Pardossi-Piquard¹,
Alexandre Bourgeois¹,
Inger Lauritzen¹,
Fanny Eysert¹,
Paula Fernanda Kinoshita^1,2,
Julie Cazareth¹,
Céline Badot¹,
Konstantina Fragaki³,
Renaud Bussiere^1,4,
Cécile Martin¹,
Rosanna Mary¹,
Charlotte Bauer¹,
Sophie Pagnotta⁵,
Véronique Paquis-Flucklinger³,
Valérie Buée-Scherrer^6,7,
Luc Buée^6,7,
Sandra Lacas-Gervais⁵,
Frédéric Checler¹^na2 &
…
Mounia Chami ORCID: orcid.org/0000-0003-1498-7187¹^na2

Acta Neuropathologica volume 141, pages 39–65 (2021)Cite this article

We’re sorry, something doesn't seem to be working properly.

Please try refreshing the page. If that doesn't work, please contact support so we can address the problem.

Abstract

Several lines of recent evidence indicate that the amyloid precursor protein-derived C-terminal fragments (APP-CTFs) could correspond to an etiological trigger of Alzheimer’s disease (AD) pathology. Altered mitochondrial homeostasis is considered an early event in AD development. However, the specific contribution of APP-CTFs to mitochondrial structure, function, and mitophagy defects remains to be established. Here, we demonstrate in neuroblastoma SH-SY5Y cells expressing either APP Swedish mutations, or the β-secretase-derived APP-CTF fragment (C99) combined with β- and γ-secretase inhibition, that APP-CTFs accumulation independently of Aβ triggers excessive mitochondrial morphology alteration (i.e., size alteration and cristae disorganization) associated with enhanced mitochondrial reactive oxygen species production. APP-CTFs accumulation also elicit basal mitophagy failure illustrated by enhanced conversion of LC3, accumulation of LC3-I and/or LC3-II, non-degradation of SQSTM1/p62, inconsistent Parkin and PINK1 recruitment to mitochondria, enhanced levels of membrane and matrix mitochondrial proteins, and deficient fusion of mitochondria with lysosomes. We confirm the contribution of APP-CTFs accumulation to morphological mitochondria alteration and impaired basal mitophagy in vivo in young 3xTgAD transgenic mice treated with γ-secretase inhibitor as well as in adeno-associated-virus-C99 injected mice. Comparison of aged 2xTgAD and 3xTgAD mice indicates that, besides APP-CTFs, an additional contribution of Aβ to late-stage mitophagy activation occurs. Importantly, we report on mitochondrial accumulation of APP-CTFs in human post-mortem sporadic AD brains correlating with mitophagy failure molecular signature. Since defective mitochondria homeostasis plays a pivotal role in AD pathogenesis, targeting mitochondrial dysfunctions and/or mitophagy by counteracting early APP-CTFs accumulation may represent relevant therapeutic interventions in AD.

Introduction

Neurons, as post-mitotic and high-energy demanding cells, are especially sensitive to impairment of mitochondria functions and defective quality control processes. Mitochondria provide most of the cell energetic demands by generating ATP, the product of the oxidative phosphorylation (OXPHOS). Along with cell life control, mitochondria are also implicated in harmful reactive oxygen species (ROS) production and apoptotic cell death [57]. Mitochondria homeostasis is governed by equilibrium between genesis and clearance by mitophagy, the selective degradation process of defective or functionally altered mitochondria [64]. One major mechanism of mitophagy is the PTEN (Phosphatase and TENsin homolog)-induced putative kinase 1 (PINK1)/Parkin pathway. Unhealthy mitochondria with a loss of membrane potential (ΔΨm) stabilize PINK1 at the outer mitochondrial membrane. PINK1 recruits the E3 Ubiquitin ligase Parkin to generate polyubiquitinated proteins recognized by mitophagy adapters (i.e., p62/SQSTM1). Flagged mitochondria are recruited by lipid-bound microtubule-associated protein 1A/1B-light chain 3 (LC3-II) present on the double-membrane called pre-autophagosome structure. Sequestered dysfunctional mitochondria in the mitophagosome are ultimately delivered to lysosomes for degradation [64]. Perturbations of mitochondria physiology are considered hallmarks of several neurodegenerative disorders [28], including Alzheimer’s disease (AD) [34].

AD is a progressive neurodegenerative pathology leading to dementia characterized by the accumulation in AD-affected brains of hyperphosphorylated Tau (pTau) protein and of toxic amyloid beta (Aβ) peptide, a product of amyloid precursor protein (APP) processing [19]. The processing of APP generates several fragments with partially documented physiopathological functions [23, 55]. APP C-terminal fragments (APP-CTFs) are produced through the cleavage of APP by β- and α-secretases generating C99 (99-amino acids) and C83 (83-amino acids), respectively. Subsequent cleavages of C99 and C83 by γ-secretase generate Aβ and p3, respectively, and the APP intracellular domain (AICD). Noticeably, C99 also undergoes cleavage by α-secretase producing C83 [14, 29].

Most of AD-related mitochondrial dysfunctions including decreased ATP levels, impaired OXPHOS activity, disrupted mitochondrial membrane potential (ΔΨm), and increased levels of ROS were described to be Aβ-dependent in in vitro and in vivo AD study models [2, 68, 80]. Moreover, recent studies reported defective mitophagy linked to Aβ and pTau [17, 35, 50, 69]. However, the specific role of APP-CTFs, and more particularly its deleterious accumulation [44], in mitochondrial structure, function, and mitophagy dysfunctions in AD remain to be deciphered. Strikingly, we and others recently demonstrated the localization of APP-CTFs in the subcellular microdomain between the endoplasmic reticulum (ER) and mitochondria [20, 63], thus altering MAMs and mitochondrial membranes lipid composition [4, 63]. This questioned the possibility that APP-CTFs could be directly responsible for mitochondrial alterations observed in AD.

Our study is the first demonstration that, independently from Aβ, APP-CTFs accumulation either triggered by pharmacological blockade of its cleaving enzyme γ-secretase or after its overexpression leads to mitochondrial size alteration and cristae disorganization associated with enhanced mitochondrial ROS production, and mitophagy failure phenotype in cells. These alterations were similarly observed in γ-secretase inhibitor-treated young 3xTgAD mice and in adeno-associated-virus (AAV)-C99 injected mice. Importantly, we also reported mitophagy failure correlating with mitochondrial APP-CTFs accumulation in a cohort of human sporadic AD (SAD) brains. Together, our data demonstrate that APP-CTFs accumulation specifically drives mitochondrial dysfunctions and mitophagy failure, thus providing a cellular basis for counteracting setting or progression of AD pathology.

Materials and methods

Human brain samples

All procedures performed in studies involving human brains were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical studies. Informed consent for tissue donation for research is obtained by the Brain Bank NeuroCEB and has been declared at the Ministry of Higher Education and Research (agreement AC-2013-1887) under their approval procedures. We studied control and SAD post-mortem human brains. Cases were anonymized, but information was provided regarding sex, age at death, and neuropathology (suppl. Table 1, online resource).

Mice models, treatments, and analyses

3xTgAD (APPswe: KM670/671NL, TauP301L, and presenelin1 (PS1) M146V) and non-transgenic wild-type (WT) mice colonies were maintained from breeding pairs generously provided by Dr LaFerla [56]. As described previously, 2xTgAD expressing APPswe, TauP301L, and wild-type PS1 were obtained in our laboratory by crossing the 3xTgAD with WT mice [43]. Therefore, the same WT mice with the original hybrid background (129-C57BL/6) were used as control for both 2xTgAD and 3xTgAD mice. Each strain line is maintained by intercross breeding and backcrossed with the original strain every 10 generations. Males and females were housed with a 12:12 h light/ dark cycle and were given free access to food and water. All experimental procedures were in accordance with the European Communities Council Directive of 22 September 2010 (2010/63/EU) and approved by the French Ministry of Higher Education and Research (Project no: APAFIS#20495-201904231352370).

Five-month-old 3xTgAD and WT females were treated daily with vehicle (methylcellulose/polysorbate 80) or γ-secretase inhibitor (ELND006, Elan Pharmaceuticals, South San Francisco, CA [43]); (30 mg/kg) by oral gavage during 1 month. Animals were sacrificed 6 h after the last administration. We also used WT, 2xTgAD, and 3xTgAD males aged 17 months [11, 43], and new born males and females C57BL/6 mice injected with AAV-C99- or AAV-Free (empty virus) [45] and used at 2–3-month-old or 12-month-old. Mice brains were processed for SDS-PAGE, immunofluorescence or electron microscopy ultrastructure analyses.

For biochemical analyses, brains were isolated and stored in the RNA stabilization reagent (RNAlater, Qiagen) for 24 h and then dried and stored at − 80 °C until use. We used hippocampus of WT, 2xTgAD, and 3xTgD mice and total brains of AAV-Free and AAV-C99 injected mice.

For immunofluorescence and electron microscopy analyses, mice were anesthetized with a ketamine/xylazine (87 mg/ml and 13 mg/ml, respectively, 1 ml/kg) mixture and cardially perfused with PBS for 5 min and then with 10 ml PFA 4% solution (immunofluorescence) or with 10 ml of 2.5% glutaraldehyde in 0.1 M cacodylate buffer (electron microscopy analyses). The whole brains were isolated and further post-fixed overnight at 4 °C under agitation. For immunofluorescence, fixed brains were embedded in paraffin and coronal sections were cut with a sliding microtome (8 μm).

Cell lines and treatments

Cell lines were cultured in Dulbecco’s modified Eagle’s medium supplemented with 10% fetal calf serum, penicillin (100 U/ml) and streptomycin (50 μg/ml), and incubated at 37 °C in a 5% CO₂ atmosphere. Human SH-SY5Y cells stably expressing pcDNA3.1, full-length APP wild type (APPwt), or APPswe constructs were generated as already described [59], and maintained in the presence of 400 µg/ml geneticin (Gibco). Stable inducible SH-SY5Y cell line expressing C99 fragment was obtained by co-transfection of the Sleeping Beauty inducible vector (pSBtet SPC99) and the transposase SB100 as already described [42] and were maintained in the presence of 10 µg/ml puromycin (Sigma-Aldrich). C99 expression was induced by the addition of doxycycline (10 μg/ml) (Sigma-Aldrich) for 48 h. We also used human embryonic kidney (HEK) cells (CRL-1573, ATCC). HEK cells were transiently transfected with pcDNA3.1 empty vector or C99 construct [29] using jetPRIME (polyplus transfection) following the manufacturer’s instructions. Cells were analyzed 48 h post-transfection. Cells were treated with γ-secretase inhibitor ELND006 at 5 µM for 20 h, and β-secretase inhibitor at 30 µM for 20 h (Elan Pharmaceuticals, South San Francisco, CA [43]). For caspase-3 assays, cells were pretreated with staurosporine (STS) at 1 µM for 2 h (Sigma-Aldrich). For mitophagy analysis, cells were treated with deferiprone (DFP) (Sigma-Aldrich) at 1 mM for 20 h, or carbonyl cyanide m-chlorophenyl hydrazone (CCCP) (Millipore-Sigma; St Quentin Fallavier, France) at 1 µM for 6 h.

Protein extraction and SDS-PAGE analysis

Total protein extracts were prepared using lysis buffer (50 mM Tris pH 8, 10% glycerol, 200 mM NaCl, 0.5% Nonidet p-40, and 0.1 mM EDTA) supplemented with protease inhibitors (Complete, Roche diagnostics). Mitochondrial fraction was isolated using isolation buffer (250 mM D-Mannitol, 5 mM HEPES pH 7.4, 0.5 mM EGTA, and 0.1% BSA) supplemented with protease inhibitor mixture. After chilling on ice for 20 min with frequent tapping, cells, mice brains, or dissected hippocampi were disrupted by 120 strokes of a glass Dounce homogenizer, and the homogenate was centrifuged at 1500 × g at 4 °C to remove unbroken cells and nuclei. Part of the supernatant was collected for total fraction, and the other part was centrifuged at 10,000 × g at 4 °C for 10 min to pellet mitochondrial fraction which was suspended in isolation buffer supplemented with protease inhibitors. Full-length APP, APP-CTFs, and Aβ were resolved on 16.5% Tris-Tricine SDS-PAGE then transferred onto nitrocellulose membranes. Membranes were boiled in PBS, saturated in TBS, 5% skimmed milk, and incubated overnight with specific antibodies (suppl. Table 2, online resource). All the other proteins were resolved by SDS-PAGE following standard procedures.

Immunofluorescence and immunohistochemistry

Human and mice brain sections were deparaffined in xylen bath and rehydrated by successive 5 min baths of EtOH 100% (2 times), 90%, and then 70%. Antigens were unmasked in a 90% formic acid bath for 5 min for APP-Cter and 82E1 antibodies (Fig. 10g), or for 30 min in a pressure cooker with pH6 citric acid solution (Vector Laboratories) for APP-Cter and TIMM23 antibodies co-staining (Fig. 8c). Non-specific binding was blocked for 1 h in 5% BSA, 0.05% Triton in PBS solution. Sections were incubated at 4 °C overnight with primary antibodies (suppl. Table 2, online resource). After washes, sections were incubated with secondary antibodies [HRP-conjugated (1:1000; Jackson ImmunoResearch) or fluorescent Alexa Fluor antibodies, and Alexa 488- and Alexa 594-conjugated (Invitrogen; 1:1000)] at room temperature during 1 h. Nuclei were revealed with DAPI (Roche; 1:20,000). Immunofluorescence was visualized with SP5 confocal microscopes. Slides with HRP-conjugated antibodies were incubated with DAB-impact (Vector), rinsed, and counterstained with cresyl violet, and analyzed using an optical light microscope (DMD108; Leica).

Cells were plated directly on glass coverslip (pre-washed with 70% ethanol) and cultured as described previously. Transfected and/or treated cells were washed with PBS and then fixed with 4% PFA 20 min. Cells were permeabilized with 0.5% Triton-PBS and finally incubated with a 3% BSA blocking solution for 1 h. Coverslips were covered with a solution of 0.3% BSA with diluted primary antibodies overnight (suppl. Table 2, online resource). Fluorescent secondary antibodies were added after PBS wash for at least 1 h and nuclei were stained with Dapi (1/10,000). Coverslips were mounted on glass slides with Vectamount medium (Vector). Images were acquired with SP5 confocal microscope and processed using ImageJ software.

Measurements of mitochondrial superoxide and of mitochondrial potential

MitoSOX Red is a fluorogenic dye for highly selective detection of superoxide in the mitochondria of living cells [70]. Cells were incubated in 5 µM MitoSOX red mitochondrial superoxide indicator (Invitogen) in DMEM for 30 min, at 37 °C. Cells were harvested and rinsed twice with ice-cold HBSS complemented with 1 mM CaCl₂ and 0.5 mM MgCl₂. Tetramethyl rhodamine methyl ester (TMRM) is a cell-permanent dye that accumulates in active mitochondria with intact membrane potentials. Loss of mitochondrial membrane potential triggers reduced TMRM accumulation. Cells were harvested, rinsed with PBS, and incubated in TMRM (prepared in DMEM) (2 nM) for 30 min at 37 °C. TMRM and MitoSox fluorescence median intensities were then analyzed in the Novocyte Flow Cytometer (ACEA bioscience, Inc) excitation/emission 510 nm/580 nm. TMRM fluorescence signal was also acquired on a Leica SP5 confocal microscope with 63 × objective, after loading cells with TMRM (2 nM) in KRB/1 mM CaCl₂ for 30 min at 37 °C. To demonstrate specific TMRM binding, measurements were corrected for residual TMRM fluorescence after full mitochondrial membrane collapse with the mitochondrial uncoupler FCCP (trifluoromethoxy carbonylcyanide phenylhydrazone) [22].

Transmission electron microscopy

For ultrastructure analysis, cells were fixed in 1.6% glutaraldehyde in 0.1 M phosphate buffer (pH 7.4), rinsed with cacodylate buffer 0.1 M, and then post-fixed in osmium tetroxide (1% in cacodylate buffer) reduced with potassium ferrycyanide (1%) for 1 h. Fixed mice brains were sliced (200 µm) on a vibratome. Two mm³ cubes from the cortical regions or subiculum were microdissected under binoculars and post-fixed in osmium tetroxide (1% in cacodylate buffer 0.1 M). Cells and tissue were dehydrated with several incubations in increasing concentrations of ethanol or acetone, respectively, and embedded in epoxy resin (EPON), and 70 nm ultrathin sections were contrasted with uranyl acetate and lead citrate and observed with a Transmission Electron Microscope (JEOL JEM 1400) operating at 100 kV and equipped with a Olympus SIS MORADA camera. We used ImageJ software to analyze mitochondria ultrastructure and to measure mitochondria perimeter, area and number.

Respiratory chain complexes activity

Enzymatic spectrophotometric measurements of the OXPHOS respiratory chain complexes and citrate synthase were performed at 37 °C on cells according to standard procedures [73]. The Krebs cycle enzyme citrate synthase was used as control for similar mitochondria content between samples [73].

Caspase 3 activity

Cells were cultured in 6-well plates and then incubated for 24 h at 37 °C in the presence or absence of STS. In some cases, cells were either pre-incubated overnight with γ-secretase inhibitor ELND006. Caspase 3 activity was then measured as described [18]. Fluorometry was recorded at 390 and 460 nm for excitation and emission wavelengths, respectively, by means of a plate reader (Varioskan, ThermoFisher scientific). Caspase3-like activity was calculated from the linear part of fluorimetry recording and expressed in units/h/mg of proteins. One unit corresponds to 4 nmol of amidomethylcoumarin released.

Mitophagy analysis

Cells were transfected with Cox8-EGFP-mCherry (a gift from David Chan; Addgene plasmid # 78520 [71]), LC3-GFP probe or co-transfected with Lamp1-GFP (a gift from Falcon-Perez; Addgene plasmid # 34831 [26]), and Mit-RFP probes using lipofectamine. Cells were treated 24 h after transfection and analyzed 24 h later. The Cox8-EGFP-mCherry mitophagy reporter is based on differences in pKa of green fluorescent protein (EGFP), and mCherry expressed in tandem with the mitochondrial localization signal of Cox8. Under normal conditions, mitochondria fluoresce red and green (yellow colocalization signal). In mitophagy, mitochondria are delivered to lysosomes where the low pH quenches the EGFP signal (scheme in Fig. 5h). The result is that a portion of mitochondria fluoresce red only. Data are presented as the percentage of cells undergoing mitophagy. A threshold of a single or more red-alone puncta per cell was applied to all cells expressing Cox8-EGFP-mCherry probe. LC3-GFP transfected cells were subjected to immunostaining with HSP60 antibody. Data are presented as the percentage of cells harboring diffuse versus dotted LC3-GFP signal. The colocalization of Lamp1-GFP with Mit-RFP was determined using ImageJ plug-in JACoP (Just Another Colocalization Plug-in [9]. Data represent Mander’s coefficient of Mit-RFP with LAMP1-GFP signal. Cells were observed with Leica SP5 or Zeiss LSM 780 with 63X Objective.

Statistical analyses

Data were expressed as means ± SEM. Sample size for each experiment is indicated in the figure captions. We studied control (n = 9) and SAD (n = 15) human brains by SDS-PAGE and SAD human brains (n = 6) by immunohistochemistry. Cells analyses were obtained in at least three independent experiments in duplicates or triplicates (unless were indicated), while the quantification of imaging experiments was performed on different (> 5) fields of view. SDS-PAGE analyses using mice brains/hippocampi were performed in 4–7 different mice, while immunofluorescence and electron microscopy analyses were performed in 2–3 different mice. Data were analyzed with GraphPad Prism version 8 for Windows (GraphPad Software, La Jolla, CA, USA; https://www.graphpad.com). Data were first analyzed for normal distribution. We used the Mann–Whitney test when the two groups of variables have not passed the normality test. Groups of more than two variables that have passed normality test were analyzed by one-way ANOVA with Dunnett’s or Tukey’s multiple comparisons post-test. Kruskal–Wallis test and Dunn’s multiple comparisons post-test was used when groups of variables have not passed the normality test. Correlations were analyzed with Spearman’s correlation coefficient. Significant differences are: *P < 0.05, **P < 0.01, ***P < 0.001, ****P < 0.0001 and ns: non-significant.

Results

Mitochondrial structure and function are altered in a cellular model of familial AD

We analyzed mitochondrial structure and function in the neuroblastoma cells expressing the Swedish familial double mutations (APPKM670/671NL: SH-SY5Y APPswe). These cells exacerbate the production of APP-CTFs (C99 and C83 derived from the cleavage of APP by β and α secretases, respectively), and amyloid beta (Aβ) peptides (produced through the subsequent cleavage of C99 by γ-secretase) [59]. We examined mitochondria morphology and size by transmission electron microscopy. We first observed that APPswe-expressing cells harbor larger size mitochondria with altered cristae organization than control cells (colored arrowheads in Fig. 1a). We analyzed in depth mitochondrial alterations and classified mitochondria morphology in four categories (class I: fairly dark mitochondria, with uniform matrix filled with dense packed regular distributed cristae; class II: mitochondria with disrupted cristae and loss of matrix density; class III: empty mitochondria with disorganized cristae, or cristae on the periphery; and class IV: swollen mitochondria with disrupted membrane) (Fig. 1b). Quantification of mitochondria subclasses was then recorded revealing that while control cells exhibited 86% of mitochondria class I, 10% class II, 3% class III, and 1% class IV (Fig. 1c and suppl. Table 3, online resource), APPswe cells displayed a drastic reduction of “healthy” mitochondria class I (29%), and a concomitant enhancement of mitochondria class II (43%), III (12%), and IV (16%) (Fig. 1c and suppl. Table 3, online resource). We then showed that APPswe cells also displayed larger mitochondria (increased area and perimeter) (Fig. 1d, e and suppl. Table 3, online resource), with a significant decrease of mitochondrial number (Fig. 1f and suppl. Table 3, online resource) as compared to control cells.

Mitochondria are dynamic organelles requiring appropriate finely tuned equilibrium between fission and fusion. To corroborate structural alterations observed in APPswe cells, we measured the levels of mitochondrial fission protein (DNM1L/DRP; dynamin 1-like) and fusion proteins (MFN1; mitofusin 1, and MFN2; mitofusin 2) at the mRNA and protein levels (Suppl. Figure 1a-e, online resource). While we did not reveal a modulation of DRP1, MFN1, and MFN2 mRNAs levels between APPswe cells and their controls (Suppl. Figure 1a, online resource), the protein levels of DRP1, MFN1, and MFN2 were significantly lower in APPswe cells in both total and mitochondria-enriched protein extracts (Suppl. Figure 1b-e, online resource). These data show molecular perturbations of mitochondrial fission/fusion equilibrium supporting mitochondria morphological phenotypes taking place in APPswe cells.

Mitochondria structure alterations observed in APPswe cells are accompanied by several mitochondrial dysfunctions as demonstrated by a reduction of mitochondrial complex I NDUFB8 subunit expression (Fig. 1g, h), while the levels of mitochondrial complexes subunits II, III, IV, and V remained unchanged (Fig. 1g and suppl. Figure 1f, online resource). This was corroborated by a specific reduction of mitochondrial complex I activity (Fig. 1i), but not of complexes II, III, IV, and V (Suppl. Figure 1g-j, online resource) in APPswe cells. The Krebs cycle citrate synthase enzyme remained also unchanged between APPswe cells and their controls (Suppl. Figure 1k, online resource). In agreement with a dysfunctional respiratory chain complex I, APPswe cells showed a reduction of mitochondrial membrane potential, revealed by reduced TMRM fluorescence intensity (Fig. 1j, k).

APP-CTFs accumulation triggers mitochondrial structure alterations in cells independently of Aβ

Several studies reported that mitochondrial structure and function alterations are linked to Aβ [15, 34, 46]. We aimed hereafter at investigating the specific contribution of APP-CTFs versus Aβ to mitochondrial structure and function alterations reported in our APPswe cellular model. Thus, we pharmacologically targeted γ-secretase, the inhibition of which blocks Aβ peptide formation and enhances CTFs’ recovery (as we already reported [13, 45]). Immunological analyses with 6E10 antibody (revealing full-length APP, C99, and Aβ) or APP-Cter antibody (revealing C99, and C83, and APP intracellular domain (AICD) (Fig. 2a) confirmed that γ-secretase inhibition enhanced the accumulation of APP-CTFs (C99 and C83) and blocked Aβ peptide production in total extracts (Fig. 2a, b) as well as in mitochondria-enriched fraction (Fig. 2a, c) without affecting the level of full-length APP (Fig. 2a–c). Unexpectedly, γ-secretase inhibition did not significantly modify AICD levels in both total homogenates and mitochondrial-enriched fraction (Fig. 2a–c). We further demonstrated by immunofluorescence analyses, using the two sets of antibodies (6E10 and APP-Cter), that APP and APP-CTFs colocalize with the mitochondrial protein HSP60 in untreated and in γ-secretase inhibitor-treated APPswe cells (Fig. 2d, e). These biochemical and imaging analyses firmly demonstrate that APP-CTFs are present in mitochondria compartment, thus questioning their contribution to mitochondrial structure alterations observed in this AD cellular model.

We took advantage of this pharmacological approach and analyzed mitochondria structure using electron microscopy, and revealed that γ-secretase inhibitor-treated APPswe cells display spherical and fragmented mitochondria (colored arrowheads in representative images in Fig. 2f). The quantification of mitochondria subclasses showed that γ-secretase inhibitor-treated APPswe cells harbor a loss of mitochondria class I (1%) and swollen mitochondria class IV (2%) with a drastic shift of mitochondrial shape towards mitochondrial classes II and III (47%, and 50%, respectively) (Fig. 2g and suppl. Table 3, online resource). This mitochondrial morphology shift was accompanied by a significant reduction in mitochondria size (area and perimeter) (Fig. 2h, i and suppl. Table 3, online resource), and an increase of mitochondria number in γ-secretase inhibitor-treated APPswe cells (Fig. 2j and suppl. Table 3, online resource). We further strengthened these observations by analyzing mitochondrial three-dimensional (3D) structure in living cells using mitotracker dye and confocal imaging (suppl. Figure 2a, online resource). Thus, γ-secretase inhibition increases mitochondrial number (Suppl. Figure 2a, b, online resource), and reduces mitochondrial network 3D volume (Suppl. Figure 2a, c, online resource). As observed in APPswe untreated cells (Suppl. Figure 1a, online resource), mitochondrial size alteration observed upon γ-secretase inhibition is not corroborated by a modulation of DRP1 and MFN2 mRNA levels (Suppl. Figure 2d, online resource). Nevertheless, we reported a significant increase of MFN2 protein level in APPswe cells treated with γ-secretase inhibitor, while DRP1 protein level remained unchanged (Suppl. Figure 2e, online resource).

We further investigated the contribution of APP-CTFs versus Aβ to mitochondria structure alterations by analyzing APPswe cells treated with β-secretase inhibitor, blocking the production of Aβ, reducing APP-βCTF (C99) level, and enhancing the level of APP-αCTF (C83) (Suppl. Figure 3a-c, online resource). As for γ-secretase inhibitor, we also did not notice any significant change of AICD level upon β-secretase inhibition (Suppl. Figure 3a-c, online resource). Importantly, we revealed by electron microscopy analyses that β-secretase inhibition triggers a recovering of mitochondria class I morphology (76%) and a reduction of mitochondria classes II, III, and IV (13%, 7%, and 4%, respectively, suppl. Figure 3d, e, online resource, and suppl. Table 3, online resource). Thus, the comparative analyses of the impact of β- versus γ-secretase inhibitors on mitochondria structure demonstrate that both Aβ and APP-CTFs participate to mitochondrial structure alterations in APPswe-expressing cells and that γ-secretase-mediated APP-CTFs accumulation independently from Aβ exacerbate mitochondrial morphological alterations specifically characterized by cristae disorganization (mitochondria classes II and III) and changes in mitochondria size and number.

We also investigated the impact of the accumulation of endogenous APP-CTFs on mitochondrial structure upon γ-secretase inhibition in mock (pcDNA3.1)-transfected SH-SY5Y cells. We revealed low amount of endogenous APP-CTFs in both total and mitochondrial fraction of mock-transfected SH-SY5Y cells (as compared to APPswe cells) correlating with a low-level expression of full-length APP (Suppl. Figure 4a, online resource). We also noticed the accumulation of endogenous APP-CTFs in control cells upon γ-secretase inhibitor treatment both in total and mitochondria-enriched fraction (Suppl. Figure 4b, online resource). Immunofluorescence analyses support this finding and show enhanced signal detected with APP-Cter antibody colocalizing with mitochondrial protein HSP60 in γ-secretase inhibitor-treated-control cells (Suppl. Figure 4c, online resource). We then revealed that endogenous APP-CTFs accumulation led to mitochondria structure alteration (66% class II, and 30% class III) (Suppl. Figure 4d, e, online resource, and suppl. Table 3, online resource), reduced size (Suppl. Figure 4d, f, g, online resource, and suppl. Table 3, online resource), and increased number (Suppl. Figure 4h, online resource, and suppl. Table 3, online resource). Thus, γ-secretase inhibition that triggers accumulation of endogenous or overexpressed APP-CTFs leads to similar structural mitochondria alterations in cells (Fig. 2f–j, suppl. Figure 4d-h, online resource, and suppl. Table 3, online resource).

Mitochondrial function and apoptosis are differently impacted by Aβ and APP-CTFs

We investigated the consequences of mitochondrial APP-CTFs accumulation on mitochondrial function. We first showed that both γ-secretase and β-secretase inhibition enhanced the expression level of NDUFB8 complex I subunit (Fig. 3a, b and suppl. Figure 3f, online resource), and accordingly the activity of respiratory complex I (Fig. 3c and suppl. Figure 3g, online resource), without altering the expression levels (Suppl. Figure 5a, online resource) or activities (Suppl. Figure 5b-e, online resource) of mitochondrial complexes II, III, IV, and V. Citrate synthase enzyme remained also unchanged upon γ-secretase inhibition (Suppl. Figure 5f, online resource). Similarly, we did not notice any change in mitochondrial complexes II, III, IV, and V expression and activities upon β-secretase inhibition (data not shown). We then reported that reduced mitochondrial potential in untreated APPswe cells (compared to their controls) was unaffected by γ-secretase inhibitor (Fig. 3d and representative histograms in suppl. Figure 5g, online resource), but was restored by β-secretase inhibitor (suppl. Figure 3h, online resource). However, we observed enhanced mitochondrial ROS accumulation in APPswe versus control cells that was further exacerbated upon γ-secretase inhibition (Fig. 3e and suppl. Figure 5h, online resource), and unchanged upon β-secretase inhibition (data not shown).

We then quantified caspase-3 activation known as an executioner caspase in mitochondrial-dependent apoptosis and used fluorometric and immunoreactivity approaches [18]. We first showed higher sensitivity to a sub-apoptotic dose of staurosporine in APPswe cells as compared to control cells as illustrated by enhanced caspase-3 activity and cleaved caspase-3 (c-Casp 3: active form) (Fig. 3f–h). Although γ-secretase inhibitor did not impact caspase-3 activity in basal conditions (Fig. 3f), it triggers a significant reduction of STS-induced caspase-3 activity (Fig. 3f), and cleavage (Fig. 3i, j) in APPswe cells. We also confirmed the reduction of caspase-3 activity with two different γ-secretase inhibitors DFK, and DAPT in STS-treated APPswe cells (Suppl. Figure 5i, online resource). Similarly, we also observed a reduction of STS-induced caspase-3 activity upon treatment with β-secretase inhibitor (Suppl. Figure 3i, online resource).

We ascertain the specificity of γ-secretase inhibitor towards APP substrate using SH-SY5Y control cells and mouse embryonic fibroblasts (MEF) isolated from control mice (MEF-WT) or from mice genetically invalidated for both APP and its additional family member APLP2 gene (MEF-APPKO) (Suppl. Figure 6, online resource). We showed that γ-secretase inhibitor: (1) did not significantly change mitochondrial potential in SH-SY5Y control cells (Suppl. Figure 6a, online resource), and in MEF-WT and MEF-APPKO cells (Suppl. Figure 6b, online resource); (2) did not change STS-induced caspase-3 activity in MEF control and APPKO fibroblasts (Suppl. Figure 6e, online resource). Importantly, we reported increased mitochondrial ROS in SH-SY5Y control cells (Suppl. Figure 6c, online resource) and in MEF-WT cells but not in MEF-APPKO cells (Suppl. Figure 6d, online resource) treated with γ-secretase inhibitor. Thus, γ-secretase inhibitor-induced mitochondrial deleterious phenotype appears to be APP-dependent.

Overall, these results revealed the contribution of both Aβ and APP-CTFs to mitochondrial dysfunctions. The comparative analyses of the impact of γ-secretase versus β-secretase inhibitors in APPswe cells emphasized the role of Aβ in mitochondrial respiratory chain complex I dysfunction, mitochondrial membrane potential loss, and caspase-3 activation and that of APP-CTFs accumulation in mitochondrial ROS elevation.

To further explore the contribution of APP-derived CTFs to mitochondrial dysfunctions, we used the neuroblastoma stable and inducible cell line expressing C99 fragment only [45]. First, as we previously described [29], we observed that C99 undergoes a γ-secretase-mediated cleavage giving rise to a high C83 expression (Fig. 4a, b). We also showed enhanced C99 and C83 fragments in mitochondrial-enriched fraction prepared from C99-expressing cells as compared to mock-transfected cells (control) (Fig. 4a, b). As observed in APPswe cells (Fig. 2a–c), the treatment with γ-secretase inhibitor enhanced C83 level in both C99 and control cells (Fig. 4a, b). We further demonstrated that both endogenous and overexpressed APP-CTFs colocalize with mitochondrial HSP60 protein as illustrated in C99 cells untreated and in control and C99 cells treated with γ-secretase inhibitor (Fig. 4c). We next examined whether C99 expression triggers mitochondrial dysfunction. Indeed, like APPswe cells, C99-expressing cells harbor a reduction of the expression of NDUFB8 (Fig. 4d, e) and of the activity of respiratory chain complex I (Fig. 4f), without altering the mitochondrial complexes II, III, IV, and V subunit expression and their activities (Suppl. Figure 7a–e, online resource), and citrate synthase activity (Suppl. Figure 7f, online resource). C99 overexpression triggers an increase of mitochondrial ROS production (Fig. 4g), and intriguingly enhanced mitochondrial membrane potential (Fig. 4h), both remained elevated upon γ-secretase inhibitor treatment. We also revealed that C99-expressing cells harbor a slight but not-significant increase in staurosporine-induced apoptosis that remained not modulated by γ-secretase inhibitor (Fig. 4i). All over, these data demonstrate the colocalization of overexpressed C99 with mitochondria triggering mitochondrial dysfunctions, and that APP-CTFs accumulation per se did not lead to apoptotic cell death.

APP-CTFs accumulation leads to basal mitophagy failure in cells independently of Aβ

Mitochondrial fragmentation and enhanced ROS production are considered major paradigms for selective elimination of superfluous or dysfunctional mitochondria by a specific autophagy process known as mitophagy [64]. We thus questioned the putative contribution of APP-CTFs accumulation to mitophagy. We examined the induction of basal autophagy through the conversion of soluble microtubule-associated protein 1A/1B-light chain 3 (LC3-I) to lipid-bound LC3-II and quantified their expression levels and that of the autophagy substrate SQSTM1/p62 (named p62 hereafter). We specifically quantified LC3 conversion and p62 level in mitochondrial fraction. Our data show a slight but not significant increase of LC3-I but a drastic enhancement of LC3-II level and LC3-II/LC3-I ratio, indicating a basal autophagy induction in APPswe cells (Fig. 5a, b). We further measured mitophagy using LC3-GFP probe and fluorescence microscopy, and confirmed the conversion of LC3-I to LC3-II through aggregation and colocalization of LC3-GFP with HSP60 mitochondrial protein in APPswe cells (Fig. 5e). Paradoxically, the level of p62 remained unchanged (Fig. 5a, b). The increase in LC3-I conversion, LC3-II accumulation, and unchanged p62 levels supports enhanced basal autophagy induction and a blockade in downstream degradation. We then analyzed mitochondrial mitophagy priming occurring through PINK1/Parkin pathway [87]. We observed significantly enhanced levels of Parkin and PINK1 in mitochondrial fraction isolated form APPswe as compared to control cells (Fig. 5a, c). Increased Parkin recruitment to mitochondria was further confirmed by immunofluorescence through its colocalization with mitochondrial HSP60 protein in APPswe cells (Fig. 5f). Accordingly, we also showed a slight increase of mitochondrial localization of phospho-poly-ubiquitin (p-S65-Ub: p-Ub), a PINK1 substrate recruited by Parkin to mitochondria [87] in APPswe cells (Fig. 5f). As control, we analyzed protonophore carbonyl cyanide m-chlorophenyl hydrazone (CCCP)-induced mitophagy and showed enhanced Parkin and p-Ub localization within mitochondria in both control and APPswe-treated cells (Fig. 5f).

Activated mitophagy process is reflected by enhanced degradation of mitochondrial outer and inner membrane and matrix proteins. SDS-PAGE analyses performed on mitochondria-enriched fraction showed increased levels of several mitochondrial proteins (TOMM20, TIMM23, HSP60, and HSP10) in APPswe cells (Fig. 5a, d), suggesting a compromised targeting of dysfunctional mitochondria to lysosomal compartment and/or its defective degradation. Indeed, we observed reduced colocalization of mitochondria with lysosomes in APPswe versus control cells as illustrated through the analyses of the colocalization of mitochondrial Mit-RFP probe with lysosomal LAMP1-GFP probe (Fig. 5g). Furthermore, we used Cox8-EGFP-mCherry mitophagy reporter, [71] (Fig. 5h left) and reported a not statistically different number of cells harboring red mitochondria puncta in APPswe and control cells, thus attesting for defective mitochondrial engulfment in lysosomal acidic compartment (Fig. 5h, i). We validated Cox8-EGFP-mCherry mitophagy reporter by demonstrating enhanced mitophagy (cells harboring red puctae) in control and APPswe cells treated with the iron chelator DFP (deferiprone) (a potent mitophagy inducer in SH-SY5Y cells [1] (Fig. 5h, i), and with a combination of oligomycin A and antimycin A in APPswe cells [1] (Suppl. Figure 8a, online resource).

Importantly, pharmacological blockade of γ-secretase in APPswe cells definitely demonstrates that mitophagy failure could be accounted by APP-CTFs accumulation (Fig. 6a–e). Hence, APPswe-treated cells showed a huge increase of LC3-II level and LC3-II/LC3-I ratio, unchanged levels of p62 in mitochondria-enriched fraction (Fig. 6a, b), and enhanced total p62 fluorescence (Suppl. Figure 8b, online resource), attesting for basal autophagy induction and degradation defect. APPswe cells treated with γ-secretase inhibitor also showed defective mitophagy priming with a slight but non-statistically significant increase of Parkin and PINK1 levels in mitochondria (Fig. 6a, c). Unchanged Parkin and p-Ub targeting to mitochondria were further showed by immunofluorescence analyses (Suppl. Figure 8b, online resource). Accordingly, a significant increase of mitochondrial proteins (TOMM20, TIMM23, HSP60, and HSP10) (Fig. 6a, d) in mitochondria-enriched fraction suggested a compromised targeting of dysfunctional mitochondria to lysosomes and their degradation in γ-secretase inhibitor-treated APPswe cells. Indeed, we revealed unchanged colocalization of Mit-RFP probe with LAMP1-GFP probe (Suppl. Figure 8c, online resource), and confirmed unchanged number of mitochondria in fusion with lysosomes using Cox8-EGFP-mCherry probe (Fig. 6e).

Importantly, γ-secretase inhibitor-mediated accumulation of endogenous APP-CTFs was also associated with mitophagy failure in SH-SY5Y control cells characterized by enhanced LC3-II/LC3-I ratio unchanged levels of mitochondrial p62 (Suppl. Figure 9a, b, online resource), enhanced total p62 staining (Suppl. Figure 9d, online resource), unchanged Parkin, and p-Ub (Suppl. Figure 9a, c, and d, online resource), and a significant increase of TIMM23, and HSP10 expressions (Suppl. Figure 9a, c, online resource). We confirmed this mitophagy failure phenotype by showing unchanged colocalization of Mit-RFP probe with LAMP1-GFP probe upon γ-secretase inhibitor treatment (Suppl. Figure 9e, online resource).

Accordingly, we validated mitophagy defect in C99 cellular model and showed a slight but no-statistically significant increase of LC3-II level and LC3-II/LC3-I ratio (Fig. 6f, g) associated with a significant increase of p62 (Fig. 6f, g), unchanged PINK1 and Parkin (Fig. 6f, h), and enhanced TOMM20, and HSP10 expression levels (Fig. 6f–i). Both control and C99-expressing cells treated with γ-secretase inhibitor also showed a mitophagy failure phenotype supported by a significant increase of LC3-II level, and of LC3-II/LC3-I ratio (Fig. 6f, g) associated with unchanged or enhanced p62 (Fig. 6f, g), unchanged PINK1 and Parkin (Fig. 6f, h), enhanced TOMM20, TIMM23, and increase or unchanged HSP10 (Fig. 6f, i). We further showed unchanged levels of Parkin in control and C99-expressing cells treated with γ-secretase inhibitor by immunofluorescence (Suppl. Figure 8d, online resource). Using Cox8-EGFP-mCherry probe, we then demonstrated basal mitophagy defect upon C99 expression or accumulation (Fig. 6j), and revealed as observed in APPswe cells enhanced DFP-induced mitochondria targeting to lysosomal compartment in both control and C99 cells (Fig. 6j).

Interestingly, we also observed unchanged basal autophagy (LC3-I, LC3-II, and p62 levels), mitophagy priming (PINK1, and Parkin), and mitochondrial proteins levels (TOMM20, TIMM23, HSP60, and HSP10) in β-secretase inhibitor-treated APPswe cells, further demonstrating the deleterious effect of accumulated APP-CTFs independently from Aβ on mitophagy failure phenotype (Suppl. Figure 3j, online resource). Overall, these data consistently demonstrate that the accumulation of both endogenous and overexpressed APP-CTFs impaired basal mitophagy.

Mitochondrial structure alterations in AD mice models are linked to APP-CTFs accumulation but independently of Aβ

We already reported early and progressive APP-CTFs accumulation in the subiculum of 3xTgAD mice model [43], and showed that in vivo treatment of young 3xTgAD mice with the γ-secretase inhibitor enhances APP-CTFs accumulation and triggers massive increases in endosome autophagic lysosomes (EAL) accumulation [45]. We took advantage of this model to examine the impact of APP-CTFs accumulation on mitochondrial structure and mitophagy in vivo. Young mice (aged 5 months) were treated daily for 1 month with γ-secretase inhibitor and analyzed for APP-CTFs’ expression/accumulation in mitochondria-enriched fraction. We first show the presence of APP-CTFs in mitochondria of 3xTgAD but not WT mice hippocampi (Fig. 7a). γ-secretase inhibitor unravels APP-CTFs accumulation in WT mice and drastically enhanced it in 3xTgAD mice (Fig. 7a). Mitochondria morphology and size were then analyzed by electron microscopy in the subiculum area of WT and 3xTgAD mice treated with vehicle or with γ-secretase inhibitor (Fig. 7b-e). We constrained our classification in vivo to two mitochondria classes, where class I corresponds to mitochondria with uniform matrix filled with dense packed regular distributed cristae, and class II corresponds to mitochondria showing morphological abnormalities, ranging from focal loss of cristae with empty spaces to severe loss of cristae and matrix (corresponding to mitochondria classes II and III in cells). We did not observe swollen mitochondria class IV in vivo. We first show that vehicle-treated WT and 3xTgAD mice harbor 91% and 79% of class I mitochondria, respectively (Fig. 7c and suppl. Table 3, online resource). Thus, 3xTgAD mice did not show noticeable early alteration of mitochondria cristae shape. However, we observed that mitochondria of 3xTgAD mice harbor a significant reduction of perimeter and area as compared to wild-type mice (Fig. 7d, e and suppl. Table 3, online resource). Importantly, the treatment with γ-secretase inhibitor dramatically and significantly lowered the percentage of class I mitochondria to 19%, and 52%, and enhanced the percentage of class II mitochondria that reached 81% and 48% in 3xTgAD and WT mice respectively (Fig. 7b, c and suppl. Table 3, online resource). γ-secretase inhibitor treatment also enhanced mitochondria perimeter and area in 3xTgAD mice without affecting that of WT mice (Fig. 7d, e and suppl. Table 3, online resource). To confirm that C99 accumulation per se also impacts mitochondria morphology and size in vivo; we compared young (aged 2–3 months) and old (aged 12 months) adeno-associated-virus (AAV)-C99 injected mice previously described [45]. Immunofluorescence analyses using APP-Cter antibody showed intraneuronal expression of C99 in the cortex and the subiculum (Sub) and dentate gyrus (DG) regions of the hippocampus of AAV-C99 injected mice (Fig. 8a). C99 expression was detectable in mitochondrial fractions isolated from both young and old AAV-C99 mice brains (Fig. 8b) and only faintly detectable in AAV-Free-injected mice (Fig. 8b). This observation was corroborated by demonstrating the colocalization of C99 (using APP-Cter antibody) with mitochondrial TIMM23 protein (Fig. 8c). We analyzed mitochondrial morphology in the cell body of cortical neurons and revealed a large number of mitochondria class I in young and old control mice (91% and 96% respectively). In contrast, we noticed a reduction of mitochondria class I in both young and old AAV-C99 injected mice (47% and 52%, respectively) with concomitant increases in class II mitochondria (53% and 48%, respectively) (Fig. 8d, e and suppl. Table 3, online resource). In AAV-C99-injected mice, C99 is also expressed in the hippocampus (Fig. 8a and suppl. Figure 10a, online resource), and triggers reduced class I mitochondria in the cell body of hippocampal neurons (Suppl. Figure 10b, c, online resource). Interestingly, we observed unchanged mitochondria size (area and perimeter) in AAV-C99 versus AAV-Free young mice (Suppl. Figure 10b, d, and e, online resource), but significantly increased size in AAV-C99 old mice as compared to their age-matched control mice (Fig. 8f, g).

The similar data obtained in γ-secretase inhibitor-treated 3xTgAD mice (Fig. 7a–e) and AAV-C99 mice (Fig. 8a–g and suppl. Figure 10b-e, online resource) fully demonstrate that APP-CTFs accumulate in mitochondria and induce early and age-dependent mitochondrial structure alterations.

Basal mitophagy failure in AD mice models is associated with APP-CTFs accumulation

The analysis of mitophagy marker expressions showed enhanced mitochondrial LC3-I and LC3-II and unchanged p62 levels in 3xTgAD mice than in WT mice reflecting both basal autophagy induction (conversion of LC3-I- to LC3II) and impairment of autophagy degradation (LC3-I, LC3-II accumulation and unchanged p62 level) (Fig. 7f, g). Since at 5-month age, 3xTgAD mice display high APP-CTFs levels, while Aβ remained barely detectable [11], we may assume that mitophagy failure is rather associated with APP-CTFs accumulation. Corroborating this statement, we observed increase of LC3-I level and of LC3-II/LC3-I ratio, unchanged p62 level in 3xTg-AD versus WT mice treated with γ-secretase inhibitor (Fig. 7f, g). Accordingly, old but not young AAV-C99-injected mice showed basal autophagy induction and defective autophagy degradation (LC3-I, LC3-II accumulation and unchanged p62 level) (Fig. 8h, i). In agreement with defective degradation of dysfunctional mitochondria, we noticed unchanged level of the mitophagy priming protein PINK1 in mitochondria fraction of vehicle- or with γ-secretase inhibitor-treated 3xTgAD mice (Fig. 7f, h), and enhanced HSP10 protein level in 3xTg-AD mice versus WT mice (Fig. 7f, h), and observed a significant enhancement of TIMM23, HSP10, and MFN2 protein levels in 3xTg-AD versus WT mice treated with γ-secretase inhibitor (Fig. 7f, h). These data fully demonstrate that APP-CTFs accumulation triggers mitophagy failure in vivo.

Mitochondria structure alterations and mitophagy are differently impacted by late-stage Aβ and APP-CTFs accumulation in AD mice models

To delineate the respective contribution of APP-CTFs and Aβ to mitochondrial structure and mitophagy defects, we compared 3xTg-AD and 2xTg-AD mice. Thus, while both AD models accumulate APP-CTFs similarly, only 3xTg-AD animals produce Aβ (at late age) that remains always barely detectable in 2xTg-AD mice [11]. In fact, we confirmed similar APP-CTFs accumulation in mitochondria-enriched fractions from both 2xTg-AD and 3xTg-AD and noticeable absence of Aβ peptide in 2xTgAD mice (Fig. 9a). We also confirmed the presence of large amyloid plaques (AP) surrounded by dystrophic neurites (DN) in the subiculum of 3xTg-AD mice but not in 2xTg-AD mice [Fig. 9b, image 3xTg-AD (”)]. Interestingly, electron microscopy analyses revealed that while old WT mice display equal proportions of classes I and II mitochondria, both old 2xTgAD and 3xTgAD mice display a higher population of class II mitochondria (81% and 82%, respectively) (Fig. 9c and suppl. Table 3, online resource) and significant increases in mitochondria perimeter (Fig. 9d and suppl. Table 3, online resource) and area (Fig. 9e and suppl. Table 3, online resource). These data demonstrate that mitochondria structure alteration in old mice is triggered by the accumulation of APP-CTFs independently of Aβ and pTau (accumulating in old 3xTg-AD but not in 2xTg-AD mice [11]) (Fig. 9b–e).

Mitophagy analyses revealed in old 3xTgAD mice reduced LC3-I level, unchanged LC3-II level, and enhanced LC3-II/LC3-I ratio (Fig. 9f, g). In accordance, with active mitophagy, old 3xTgAD mice showed reduced p62 (Fig. 9f, g), enhanced PINK1 (Fig. 9f, h), and reduced levels of TIMM23 and MFN2 (Fig. 9f, h). We also noticed reduction trends of HSP10 and DRP1 proteins, but that did not reach statistical significance (Fig. 9f, h). Unlike 3xTgAD mice, 2xTgAD mice harbor a mitigate mitophagy phenotype showing reduced LC3-I, unchanged LC3-II levels and LC3-II/LC3-I ratio (Fig. 9f, g), unchanged p62 (Fig. 9f, g), and enhanced PINK1 and a slight reduction of TIMM23 but not of HSP10, MFN2, or DRP1 (Fig. 9f–h). Altogether, these results pinpointed a late-stage contribution of Aβ and pTau to mitophagy induction in old 3xTgAD mice (Fig. 9f–h), while early APP-CTFs accumulation accounts for impaired mitophagy in young 3xTgAD (Fig. 7f–h) and old 2xTgAD mice (Fig. 9f–h). The specific contribution of Aβ versus pTau to mitophagy activation in old 3xTg-AD mice needs a dedicated study.

Correlation between basal mitophagy failure and APP-CTFs accumulation in human AD brains

We lastly questioned whether APP-CTFs accumulate in human SAD brains and investigated the potential correlation between APP-CTFs levels in mitochondria and mitophagy markers. The presence and accumulation levels of APP-CTFs were explored in mitochondria-enriched fraction of a large human SAD brains cohort (patients’ information in suppl. Table 1, online resource). We observed unchanged level of full-length APP (Fig. 10a, b), and enhanced C83 and C99 expressions (Fig. 10a, c–e) in AD brains using the two sets of antibodies APP-Cter and 82E1 (directed to the first and free aa residue of Aβ and C99) (Fig. 10a, d, e). In this cohort, we also revealed a positive and significant correlation between C99 level and total Aβ load (Fig. 10f). Using immunohistochemistry and antigen retrieval approaches [16], we revealed in AD brain slices (patients information in suppl. Table 1, online resource) intracellular APP-CTFs and Aβ membranous-like signal (Fig. 10g, inserts b, d), in parallel to extracellular APP-CTFs’ aggregates and focal amyloid plaques, respectively, detected with APP-Cter and 82E1 antibodies (Fig. 10g, inserts a, c). We investigated in the same brain cohort mitophagy markers (LC3-I, LC3-II, P62, Parkin, and PINK1) expression in mitochondria-enriched fractions (Fig. 10h–n). Interestingly, we showed a significant increase of LC3-II/LC3-I and enhanced p62 level in AD brains as compared to controls (Fig. 10h, i). Supporting mitophagy priming failure, we also revealed a consistent reduction of PINK1 and Parkin proteins (Fig. 10h, j). Importantly, expression of all these markers significantly correlated with mitochondrial C99 level (Fig. 10k–n). Since our AD cohort shows elevated expression levels of Aβ (Fig. 10a, f) and pTau (Suppl. Figure 11e, online resource), we also analyzed the potential correlation of mitophagy markers expression with Aβ and pTau levels. Intriguingly, we noticed a significant negative correlation of total Aβ load with Parkin (Suppl. Figure 11c, online resource), but not with LC3-II/LC3-I, p62 and PINK1 (Suppl. Figure 11a, b, and d, online resource). We also observed a positive correlation of pTau with LC3-II/LC3-I ratio (Suppl. Figure 11f, online resource), but not with the other markers (Suppl. Figure 11 g-i, online resource). These data are in agreement with previous studies, showing that Parkin trigger intracellular Aβ42 clearance [12] and the colocalization of pTau with LC3 in FAD brains [65]. Overall, these data firmly emphasize a strong correlation between APP-CTFs accumulation and defective mitophagy phenotype in human AD brains, thus supporting our findings in various cellular and mice AD models.

Discussion

We report that APP-CTFs accumulation triggers mitochondrial dysfunctions and mitophagy failure in an Aβ-independent manner in various AD study models. This was demonstrated by studying a familial AD mutation known to enhance APP-CTFs production and by pharmacological blockade of γ-secretase that increases APP-CTFs recovery and impairs Aβ and AICD productions as well as by the study of models overexpressing C99 fragment. Consistent alterations were observed in cellular and in vivo mice models as well as in SAD-affected brains.

Several studies show that the β-secretase-derived APP-CTF is neurotoxic perse [38, 45, 58, 85]. Furthermore, transgenic mice expressing C99 fragment (C100-Tg) or stereotaxically injected with purified APP-βCTF (C100) into the brain show neuronal degeneration in the hippocampus, cortical atrophy, astrogliosis, reduced LTP, and behavioral deficits [6, 52,53,54]. These phenotypes have also been observed in wild-type or transgenic APP mice models after treatment with γ-secretase inhibitors [7, 52], and were amplified in C100-Tg mice harboring familial AD mutation [10]. Accordingly, we reported early, age-dependent, and hippocampus-specific accumulation of C99 in 3xTgAD mice model [43], and demonstrated that C99 accumulation in mice (rather than Aβ) is associated with synaptic alterations, and apathy-like behavior [11, 45]. Our data led us to envision that APP-CTFs accumulation could trigger mitochondrial structure, function, and mitophagy alterations that are consistently observed in AD-affected brains, and thereby could contribute to AD development or progression. This hypothesis is supported by evidence that mitochondria structure, function, and position directly impact neuronal functioning, thus controlling synaptic plasticity, learning and memory [72].

First, we revealed that APP-CTFs accumulate in mitochondria-enriched fraction and colocalize with mitochondrial proteins in cells and mice AD models. This agrees well with previous studies, demonstrating that APP is associated with mitochondria in AD-affected neurons [2, 3], and that APP catabolites (i.e., Aβ, C99, and AICD) are present in mitochondria [15, 20, 21, 60, 61, 74]. Supporting APP targeting to mitochondria, mutants lacking a region that encompasses a 5-aa trans-membrane (TM) and 7-aa juxta-membrane (JM) regions exhibit decreased mitochondrial localization [81]. Our laboratory and another also recently demonstrated the presence of APP and its derived fragments in mitochondria-associated membranes (MAMs) in sporadic and familial cellular and mice AD models [20, 63]. We also unraveled the presence and activity of β- and γ-secretases in MAMs, thus allowing APP processing in this microdomain [20]. Importantly, we demonstrate herein that APP-CTFs accumulation also occurs in mitochondria of human AD brains in agreement with previous studies showing enhanced BACE1 and β-secretase-derived APP-CTF levels in autosomal-dominant AD human brain total extracts [25, 62, 66].

Previous studies showed Aβ interaction with several mitochondrial proteins [82], and that Aβ triggers reduced activity of respiratory chain complexes [8, 24, 40]. In agreement with mitochondrial OXPHOS dysfunction and mitochondrial swelling (depicted as mitochondria type IV in cells), we noticed enhanced STS-induced caspase-3 activation in APPswe-expressing cells that was reversed by both β-secretase and several γ-secretase inhibitors. This demonstrates that caspase-3 activation in APPswe cells treated with STS is mostly contributed by Aβ but not by APP-CTFs. Conversely, we did not evidence STS-induced caspase-3 activation in C99-expressing cells likely attributable to different Aβ levels/subtypes produced in APPswe cells (Aβ40 and Aβ42 [59]) versus C99-expressing models (Aβ40 [45]). Interestingly, mitochondrial ROS levels were enhanced in APPswe and C99-expressing cells, and potentiated by γ-secretase inhibitor in APPswe-expressing cells. Supporting this observation, APP-CTFs were also shown to enhance nitric oxide level in glial cells [67]. Several studies also reported that mitochondrial Aβ triggers ROS overproduction likely through complex I deficiency and/or interaction with antioxidant enzymes and that ROS increases in turn Aβ production [8, 48, 75]. These data led us to hypothesize that APP-CTFs, ROS, and Aβ may act in concert to accelerate disease progression.

We analyzed in depth mitochondrial structure in cellular and mice AD models using electron microscopy and high-resolution 3D imaging. We first described in APPswe cells large mitochondria with huge cristae disorganization (Fig. 1a, f and suppl. Table 3, online resource). Intriguingly, we revealed that γ-secretase inhibition-mediated APP-CTFs accumulation triggers a specific mitochondrial altered phenotype in cells. In contrast, β-secretase inhibition triggers a recovering of mitochondria class I morphology and a reduction of mitochondria classes II, III, and IV (Suppl. Figure 3d, e, online resource, and suppl. Table 3, online resource). These findings pinpointed the contribution of both Aβ and APP-CTFs accumulation to mitochondrial structure alterations observed in APPswe-expressing cells. Importantly, we also unraveled early mitochondrial morphology alteration, in vivo, in young 3xTgAD mice (5-month-old harboring APP-CTFs accumulation and not-detectable Aβ level) and further demonstrated an APP-CTFs-dependent (Aβ-independent) mitochondrial structure alteration in 3xTgAD mice treated with γ-secretase inhibitor (Fig. 7b, e and suppl. Table 3, online resource). Age- and APP-CTFs accumulation-dependent mitochondrial alterations were then confirmed in old AAV-C99-injected mice showing alteration of both morphology (cristae alteration) and increased size as compared to young AAV-C99-injected mice (Fig. 8d, g and suppl. Table 3, online resource). It is important to note that the alterations of mitochondria size (area and perimeter) were different between cellular models and AD mice brains (Fig. 7). These apparent discrepancies could be linked to APP metabolite levels/kinetic accumulation in these models. Another fundamental finding was obtained in aged (17 months) 2xTgAD (accumulating APP-CTFs but not Aβ) harboring similar mitochondrial structure alterations as observed in old 3xTgAD mice, thus further confirming that APP-CTFs accumulation triggers mitochondrial structure alterations independently of Aβ (Fig. 9 and suppl. Table 3, online resource). In accord with our findings, changes in mitochondrial morphology were reported in the hippocampus of APP/PS1 dE9 mice at age 3 months before the onset of memory decline and Aβ deposition occurring by 6–9 months [83]. However, our data and others revealed that these mitochondrial structure phenotypes were not corroborated by consistent modulation of mitochondrial fission and fusion protein expression. Several studies reported imbalanced mitochondria fission/fusion in AD study models (cells expressing APP familial mutations or treated with Aβ, primary neurons from AD mice) and in human-derived fibroblasts and brains [30]. However, while mitochondrial fragmentation and abnormal distribution were generally described, the underlying molecular mechanisms are inconsistent between models [30, 49, 79, 88]. The variability in the exact molecular mechanisms underlying imbalanced fission/fusion observed in AD may emphasize the complexity of mitochondrial dynamics at different stages of the disease.

Inadequate mitophagy capacity in eliminating damaged mitochondria in AD-affected neurons likely contributes to AD development and/or progression. Recent datasets’ analyses from healthy individuals and AD patients revealed a strong correlation between mitophagy and AD [76]. Several studies also highlighted defective mitophagy in vitro and in vivo linked to Aβ and pTau [17, 35, 50, 69]. We demonstrate herein defective mitophagy phenotypes in both cellular and AD mice models. Importantly, the use of APPswe and C99 cells treated with γ-secretase inhibitor supported the link between APP-CTFs accumulation and mitophagy failure phenotype that we further confirmed by the reduced/or unchanged colocalization/targeting of mitochondria with/to lysosomes. We also delineated that mitophagy blockade occurs at different steps of the process in our cellular models. Thus, while PINK1-Parkin pathway was activated in APPswe-expressing cells, it was abrogated in C99-expressing cells and upon γ-secretase inhibitor treatment-mediated APP-CTFs accumulation. Importantly, we confirmed defective mitophagy priming in young 3xTgAD mice treated with γ-secretase inhibitor. All together, our data suggest “abortion” of mitophagic process in both cellular and AD mice models, since we observed basal autophagy induction and inefficient mitochondrial protein degradation.

Concerning the molecular mechanisms, we recently demonstrated a transcriptional regulation of PINK1 by AICD in a PS1-dependent manner [31] and confirmed herein enhanced PINK1 expression and mitochondrial recruitment of Parkin in APPswe cells. PINK1 stabilization to mitochondria may likely also be attributable to mitochondrial potential depolarization observed in APPswe cells. Consistently, unchanged PINK1 expression in APPswe cells treated with γ-secretase inhibitor and in C99 cells is likely linked to: (1) unchanged or barely detectable AICD levels; and/or (2) unchanged or enhanced mitochondrial membrane potential observed in these cellular models. Accordingly, we also observed unchanged Parkin level in both APPswe cells treated with γ-secretase inhibitor and in C99 cells. We may also consider other molecular mechanisms impacting PINK1 expression in AD. Indeed, we recently reported that nuclear p53-mediated repression of autophagy occurs through PINK1 gene transcriptional down regulation [32], and it is known that p53 levels are enhanced in AD brains [37]. Intriguingly, we revealed late-stage mitophagy activation (LC3-II activation/accumulation, reduced p62, and mitochondrial protein degradation) in old 3xTgAD mice that was larger as compared to 2xTgAD mice likely pointing-out the contribution of late-stage Aβ accumulation and enhanced pTau to excessive mitochondrial degradation in AD. Corroborating this late-stage mitophagy activation, we also showed increased PINK1expression in aged 2xTgAD and 3xTgAD (as we previously reported [31]).

Finally in our SAD cohort, we demonstrated a defective mitophagy phenotype (enhanced LC3-II/LC3-I and p62 and a reduction of Parkin and PINK1 expression) significantly correlating with enhanced C99 levels. Importantly, our data revealed a stronger correlation of mitophagy failure molecular signature with C99 as compared to Aβ or pTau. Clustered AV-like organelles and abnormal mitochondria with swollen shape and loss of cristae integrity were observed in neuronal perikarya of AD patient brains [86]. Impairment of mitophagy has also been observed in SAD fibroblasts due to diminished Parkin recruitment to mitochondria, accumulating depolarized mitochondria and PINK1 [51]. Reduced soluble Parkin and enhanced insoluble Parkin colocalizing with Aβ were also reported in AD brains [47]. Inconsistently, while Martin-Maestro et al. showed enhanced PINK1, Parkin, and TOMM20 expressions [51], Ye et al. noticed a reduced cytosolic and increased mitochondrial Parkin levels in AD brains [86]. These discrepancies rather pointed out the complexity of a unique molecular pathway underlying mitophagy dysfunctions in human AD brains.

Our findings support a notion that enhanced LC3-II activation/accumulation associated with unchanged p62, inconsistent recruitment of PINK1/Parkin to mitochondria and elevated levels of mitochondrial proteins could be attributed to both induction of basal autophagy and defective clearance of autophagic substrates due to increased mitochondrial stress or dysfunction in AD neurons. Importantly, we and others demonstrated that APP-CTFs accumulation is associated with lysosomal–autophagic pathology in vitro and in vivo [36, 39, 41, 45, 53, 77]. Of most interest, a recent work based on either isogenic knockin human iPSCs or monogenic iPSCs carrying mutations on APP or PS1 demonstrated a C99-mediated and Aβ-independent alterations of the endolysosomal network [36, 39, 41, 45, 53, 77]. This importantly indicated that these phenotypic alterations could not be accounted for APP-CTFs overload linked to its overexpression. Furthermore, our laboratory and others also unraveled an amplifying loop where lysosomal–autophagic dysfunction trigger lysosomal APP-CTFs accumulation [5, 33, 45]. A recent study reported that mutated PS2 impairs autophagy by causing a block in the degradative flux at the level of the autophagosome–lysosome fusion step [27]. Accordingly, reduction of NRBF2 (nuclear receptor-binding factor 2) expression, a key component and regulator of the autophagy-associated PIK3C3-containing phosphatidylinositol 3-kinase (PtdIns3K) complex, has been involved in APP-CTFs accumulation and defective autophagy [84]. All together, these evidences suggest that APP-CTFs accumulation triggers mitophagy alteration by interfering with different steps in mitophagic process likely occurring along stages of the disease development.

Several recent data support the relevance of enhancing mitochondrial proteostasis to delay AD pathogenesis. Notably, overexpression of Parkin improves its targeting to mitochondria and potentiates autophagic vesicle synthesis, and decreases the level of Aβ42 and pTau [47, 51]. Accordingly, targeting proteostasis increases the fitness and lifespan of worms and reduces amyloid aggregation in cells, worms, and in transgenic mouse models of AD [76]. The contribution of Aβ-to-AD development has been questioned these last years, since all Aβ-centered therapeutic strategies (i.e., immunotherapy, or β- and γ-secretases inhibitors) failed to interfere with cognitive decline [78]. Our study highlights, at least in part, the proven risk of using γ-secretase inhibitors as a therapeutic strategy in AD. It conversely unravels the potential interest of circumscribing APP-CTFs accumulation to recover mitochondrial structure and functions in AD. Alternatively, pharmacologically and genetically targeting mitochondrial function and mitophagy may also be a valuable strategy to treat or alleviate AD pathogenesis.

References

Allen GF, Toth R, James J, Ganley IG (2013) Loss of iron triggers PINK1/Parkin-independent mitophagy. EMBO Rep 14:1127–1135. https://doi.org/10.1038/embor.2013.168
Article CAS PubMed PubMed Central Google Scholar
Anandatheerthavarada HK, Devi L (2007) Amyloid precursor protein and mitochondrial dysfunction in Alzheimer's disease. Neuroscientist 13:626–638. https://doi.org/10.1177/1073858407303536
Article CAS PubMed Google Scholar
Anandatheerthavarada HK, Devi L (2007) Mitochondrial translocation of amyloid precursor protein and its cleaved products: relevance to mitochondrial dysfunction in Alzheimer's disease. Rev Neurosci 18:343–354. https://doi.org/10.1177/1073858407303536
Article CAS PubMed Google Scholar
Area-Gomez E, Del Carmen Lara Castillo M, Tambini MD, Guardia-Laguarta C, de Groof AJ, Madra M et al (2012) Upregulated function of mitochondria-associated ER membranes in Alzheimer disease. EMBO J 31:4106–4123. https://doi.org/10.1038/emboj.2012.202
Article CAS PubMed PubMed Central Google Scholar
Asai M, Yagishita S, Iwata N, Saido TC, Ishiura S, Maruyama K (2011) An alternative metabolic pathway of amyloid precursor protein C-terminal fragments via cathepsin B in a human neuroglioma model. FASEB J 25:3720–3730. https://doi.org/10.1096/fj.11-182154
Article CAS PubMed Google Scholar
Berger-Sweeney J, McPhie DL, Arters JA, Greenan J, Oster-Granite ML, Neve RL (1999) Impairments in learning and memory accompanied by neurodegeneration in mice transgenic for the carboxyl-terminus of the amyloid precursor protein. Brain Res Mol Brain Res 66:150–162. https://doi.org/10.1016/s0169-328x(99)00014-5
Article CAS PubMed Google Scholar
Bittner T, Fuhrmann M, Burgold S, Jung CK, Volbracht C, Steiner H et al (2009) Gamma-secretase inhibition reduces spine density in vivo via an amyloid precursor protein-dependent pathway. J Neurosci 29:10405–10409. https://doi.org/10.1523/JNEUROSCI.2288-09.2009
Article CAS PubMed PubMed Central Google Scholar
Bobba A, Amadoro G, Valenti D, Corsetti V, Lassandro R, Atlante A (2013) Mitochondrial respiratory chain Complexes I and IV are impaired by beta-amyloid via direct interaction and through Complex I-dependent ROS production, respectively. Mitochondrion 13:298–311. https://doi.org/10.1016/j.mito.2013.03.008
Article CAS PubMed Google Scholar
Bolte S, Cordelieres FP (2006) A guided tour into subcellular colocalization analysis in light microscopy. J Microsc 224:213–232. https://doi.org/10.1111/j.1365-2818.2006.01706.x
Article CAS PubMed Google Scholar
Boon WC, van den Buuse M, Wegener N, Martin S, Chua HK, Bush AI et al (2010) Behavioural phenotype of APPC100.V717F transgenic mice over-expressing a mutant Abeta-bearing fragment is associated with reduced NMDA receptor density. Behav Brain Res 209:27–35. https://doi.org/10.1016/j.bbr.2010.01.013
Article CAS PubMed Google Scholar
Bourgeois A, Lauritzen I, Lorivel T, Bauer C, Checler F, Pardossi-Piquard R (2018) Intraneuronal accumulation of C99 contributes to synaptic alterations, apathy-like behavior, and spatial learning deficits in 3xTgAD and 2xTgAD mice. Neurobiol Aging 71:21–31. https://doi.org/10.1016/j.neurobiolaging.2018.06.038
Article CAS PubMed Google Scholar
Burns MP, Zhang L, Rebeck GW, Querfurth HW, Moussa CE (2009) Parkin promotes intracellular Abeta1-42 clearance. Hum Mol Genet 18:3206–3216. https://doi.org/10.1093/hmg/ddp258
Article CAS PubMed PubMed Central Google Scholar
Bussiere R, Lacampagne A, Reiken S, Liu X, Scheuerman V, Zalk R et al (2017) Amyloid beta production is regulated by beta2-adrenergic signaling-mediated post-translational modifications of the ryanodine receptor. J Biol Chem 292:10153–10168. https://doi.org/10.1074/jbc.M116.743070
Article CAS PubMed PubMed Central Google Scholar
Checler F (1995) Processing of the beta-amyloid precursor protein and its regulation in Alzheimer's disease. J Neurochem 65:1431–1444. https://doi.org/10.1046/j.1471-4159.1995.65041431.x
Article CAS PubMed Google Scholar
Chen JX, Yan SS (2010) Role of mitochondrial amyloid-beta in Alzheimer's disease. J Alzheimers Dis 20(Suppl 2):S569–578. https://doi.org/10.3233/JAD-2010-100357
Article CAS PubMed Google Scholar
Christensen DZ, Bayer TA, Wirths O (2009) Formic acid is essential for immunohistochemical detection of aggregated intraneuronal Abeta peptides in mouse models of Alzheimer's disease. Brain Res 1301:116–125. https://doi.org/10.1016/j.brainres.2009.09.014
Article CAS PubMed Google Scholar
Cummins N, Tweedie A, Zuryn S, Bertran-Gonzalez J, Gotz J (2019) Disease-associated tau impairs mitophagy by inhibiting Parkin translocation to mitochondria. EMBO J. https://doi.org/10.15252/embj.201899360
Article PubMed Google Scholar
da Costa CA, Ancolio K, Checler F (2000) Wild-type but not Parkinson's disease-related ala-53 → Thr mutant alpha-synuclein protects neuronal cells from apoptotic stimuli. J Biol Chem 275:24065–24069. https://doi.org/10.1074/jbc.M002413200
Article PubMed Google Scholar
De Strooper B, Karran E (2016) The cellular phase of Alzheimer's disease. Cell 164:603–615. https://doi.org/10.1016/j.cell.2015.12.056
Article CAS PubMed Google Scholar
Del Prete D, Suski JM, Oules B, Debayle D, Gay AS, Lacas-Gervais S et al (2017) Localization and processing of the amyloid-beta protein precursor in mitochondria-associated membranes. J Alzheimers Dis 55:1549–1570. https://doi.org/10.3233/JAD-160953
Article CAS PubMed Google Scholar
Devi L, Ohno M (2012) Mitochondrial dysfunction and accumulation of the beta-secretase-cleaved C-terminal fragment of APP in Alzheimer's disease transgenic mice. Neurobiol Dis 45:417–424. https://doi.org/10.1016/j.nbd.2011.09.001
Article CAS PubMed Google Scholar
Duchen MR, Surin A, Jacobson J (2003) Imaging mitochondrial function in intact cells. Methods Enzymol 361:353–389
Article CAS PubMed Google Scholar
Dunys J, Valverde A, Checler F (2018) Are N- and C-terminally truncated Abeta species key pathological triggers in Alzheimer's disease? J Biol Chem 293:15419–15428. https://doi.org/10.1074/jbc.R118.003999
Article CAS PubMed PubMed Central Google Scholar
Emmerzaal TL, Rodenburg RJ, Tanila H, Verweij V, Kiliaan AJ, Kozicz T (2018) Age-dependent decrease of mitochondrial complex II activity in a familial mouse model for Alzheimer's disease. J Alzheimers Dis 66:75–82. https://doi.org/10.3233/JAD-180337
Article CAS PubMed Google Scholar
Evin G, Zhu A, Holsinger RM, Masters CL, Li QX (2003) Proteolytic processing of the Alzheimer's disease amyloid precursor protein in brain and platelets. J Neurosci Res 74:386–392. https://doi.org/10.1002/jnr.10745
Article CAS PubMed Google Scholar
Falcon-Perez JM, Nazarian R, Sabatti C, Dell'Angelica EC (2005) Distribution and dynamics of Lamp1-containing endocytic organelles in fibroblasts deficient in BLOC-3. J Cell Sci 118:5243–5255. https://doi.org/10.1242/jcs.02633
Article CAS PubMed Google Scholar
Fedeli C, Filadi R, Rossi A, Mammucari C, Pizzo P (2019) PSEN2 (presenilin 2) mutants linked to familial Alzheimer disease impair autophagy by altering Ca(2+) homeostasis. Autophagy 15:2044–2062. https://doi.org/10.1080/15548627.2019.1596489
Article CAS PubMed PubMed Central Google Scholar
Fivenson EM, Lautrup S, Sun N, Scheibye-Knudsen M, Stevnsner T et al (2017) Mitophagy in neurodegeneration and aging. Neurochem Int 109:202–209. https://doi.org/10.1016/j.neuint.2017.02.007
Article CAS PubMed PubMed Central Google Scholar
Flammang B, Pardossi-Piquard R, Sevalle J, Debayle D, Dabert-Gay AS, Thevenet A et al (2012) Evidence that the amyloid-beta protein precursor intracellular domain, AICD, derives from beta-secretase-generated C-terminal fragment. J Alzheimers Dis 30:145–153. https://doi.org/10.3233/JAD-2012-112186
Article CAS PubMed Google Scholar
Flannery PJ, Trushina E (2019) Mitochondrial dynamics and transport in Alzheimer's disease. Mol Cell Neurosci 98:109–120. https://doi.org/10.1016/j.mcn.2019.06.009
Article CAS PubMed PubMed Central Google Scholar
Goiran T, Duplan E, Chami M, Bourgeois A, El Manaa W, Rouland L et al (2017) Beta-amyloid precursor protein intracellular domain controls mitochondrial function by modulating phosphatase and tensin homolog-induced kinase 1 transcription in cells and in Alzheimer mice models. Biol Psychiatry. https://doi.org/10.1016/j.biopsych.2017.04.011
Article PubMed Google Scholar
Goiran T, Duplan E, Rouland L, El Manaa W, Lauritzen I, Dunys J et al (2018) Nuclear p53-mediated repression of autophagy involves PINK1 transcriptional down-regulation. Cell Death Differ 25:873–884. https://doi.org/10.1038/s41418-017-0016-0
Article PubMed PubMed Central Google Scholar
Gonzalez AE, Munoz VC, Cavieres VA, Bustamante HA, Cornejo VH, Januario YC et al (2017) Autophagosomes cooperate in the degradation of intracellular C-terminal fragments of thesoso amyloid precursor protein via the MVB/lysosomal pathway. FASEB J 31:2446–2459. https://doi.org/10.1096/fj.201600713R
Article CAS PubMed Google Scholar
Hauptmann S, Scherping I, Drose S, Brandt U, Schulz KL, Jendrach M et al (2009) Mitochondrial dysfunction: an early event in Alzheimer pathology accumulates with age in AD transgenic mice. Neurobiol Aging 30:1574–1586. https://doi.org/10.1016/j.neurobiolaging.2007.12.005
Article CAS PubMed Google Scholar
Hu Y, Li XC, Wang ZH, Luo Y, Zhang X, Liu XP et al (2016) Tau accumulation impairs mitophagy via increasing mitochondrial membrane potential and reducing mitochondrial Parkin. Oncotarget 7:17356–17368. https://doi.org/10.18632/oncotarget.7861
Article PubMed PubMed Central Google Scholar
Hung COY, Livesey FJ (2018) Altered gamma-secretase processing of APP disrupts lysosome and autophagosome function in monogenic Alzheimer's disease. Cell Rep 25(3647–3660):e3642. https://doi.org/10.1016/j.celrep.2018.11.095
Article CAS Google Scholar
Jazvinscak Jembrek M, Slade N, Hof PR, Simic G (2018) The interactions of p53 with tau and Ass as potential therapeutic targets for Alzheimer's disease. Prog Neurobiol 168:104–127. https://doi.org/10.1016/j.pneurobio.2018.05.001
Article CAS PubMed Google Scholar
Jiang Y, Sato Y, Im E, Berg M, Bordi M, Darji S et al (2019) Lysosomal dysfunction in down syndrome is APP-dependent and mediated by APP-betaCTF (C99). J Neurosci 39:5255–5268. https://doi.org/10.1523/JNEUROSCI.0578-19.2019
Article PubMed PubMed Central Google Scholar
Kaur G, Pawlik M, Gandy SE, Ehrlich ME, Smiley JF, Levy E (2017) Lysosomal dysfunction in the brain of a mouse model with intraneuronal accumulation of carboxyl terminal fragments of the amyloid precursor protein. Mol Psychiatry 22:981–989. https://doi.org/10.1038/mp.2016.189
Article CAS PubMed Google Scholar
Kim SH, Vlkolinsky R, Cairns N, Lubec G (2000) Decreased levels of complex III core protein 1 and complex V beta chain in brains from patients with Alzheimer's disease and Down syndrome. Cell Mol Life Sci 57:1810–1816. https://doi.org/10.1007/pl00000661
Article CAS PubMed Google Scholar
Kwart D, Gregg A, Scheckel C, Murphy EA, Paquet D, Duffield M et al (2019) A Large panel of isogenic APP and PSEN1 mutant human iPSC neurons reveals shared endosomal abnormalities mediated by APP beta-CTFs, not abeta. Neuron 104:1022. https://doi.org/10.1016/j.neuron.2019.11.010
Article CAS PubMed Google Scholar
Lauritzen I, Becot A, Bourgeois A, Pardossi-Piquard R, Biferi MG, Barkats M et al (2019) Targeting gamma-secretase triggers the selective enrichment of oligomeric APP-CTFs in brain extracellular vesicles from Alzheimer cell and mouse models. Transl Neurodegener 8:35. https://doi.org/10.1186/s40035-019-0176-6
Article CAS PubMed PubMed Central Google Scholar
Lauritzen I, Pardossi-Piquard R, Bauer C, Brigham E, Abraham JD, Ranaldi S et al (2012) The beta-secretase-derived C-terminal fragment of betaAPP, C99, but not abeta, is a key contributor to early intraneuronal lesions in triple-transgenic mouse hippocampus. J Neurosci 32:16243–16255. https://doi.org/10.1523/JNEUROSCI.2775-12.2012
Article CAS PubMed PubMed Central Google Scholar
Lauritzen I, Pardossi-Piquard R, Bourgeois A, Becot A, Checler F (2019) Does intraneuronal accumulation of carboxyl-terminal fragments of the amyloid precursor protein trigger early neurotoxicity in Alzheimer's disease? Curr Alzheimer Res 16:453–457. https://doi.org/10.2174/1567205016666190325092841
Article CAS PubMed Google Scholar
Lauritzen I, Pardossi-Piquard R, Bourgeois A, Pagnotta S, Biferi MG, Barkats M et al (2016) Intraneuronal aggregation of the beta-CTF fragment of APP (C99) induces Abeta-independent lysosomal-autophagic pathology. Acta Neuropathol 132:257–276. https://doi.org/10.1007/s00401-016-1577-6
Article CAS PubMed PubMed Central Google Scholar
Leuner K, Muller WE, Reichert AS (2012) From mitochondrial dysfunction to amyloid beta formation: novel insights into the pathogenesis of Alzheimer's disease. Mol Neurobiol 46:186–193. https://doi.org/10.1007/s12035-012-8307-4
Article CAS PubMed Google Scholar
Lonskaya I, Shekoyan AR, Hebron ML, Desforges N, Algarzae NK, Moussa CE (2013) Diminished parkin solubility and co-localization with intraneuronal amyloid-beta are associated with autophagic defects in Alzheimer's disease. J Alzheimers Dis 33:231–247. https://doi.org/10.3233/JAD-2012-121141
Article CAS PubMed Google Scholar
Lustbader JW, Cirilli M, Lin C, Xu HW, Takuma K, Wang N et al (2004) ABAD directly links Abeta to mitochondrial toxicity in Alzheimer's disease. Science 304:448–452. https://doi.org/10.1126/science.1091230
Article CAS PubMed Google Scholar
Manczak M, Calkins MJ, Reddy PH (2011) Impaired mitochondrial dynamics and abnormal interaction of amyloid beta with mitochondrial protein Drp1 in neurons from patients with Alzheimer's disease: implications for neuronal damage. Hum Mol Genet 20:2495–2509. https://doi.org/10.1093/hmg/ddr139
Article CAS PubMed PubMed Central Google Scholar
Manczak M, Kandimalla R, Yin X, Reddy PH (2018) Hippocampal mutant APP and amyloid beta-induced cognitive decline, dendritic spine loss, defective autophagy, mitophagy and mitochondrial abnormalities in a mouse model of Alzheimer's disease. Hum Mol Genet 27:1332–1342. https://doi.org/10.1093/hmg/ddy042
Article CAS PubMed PubMed Central Google Scholar
Martin-Maestro P, Gargini R, Perry G, Avila J, Garcia-Escudero V (2016) PARK2 enhancement is able to compensate mitophagy alterations found in sporadic Alzheimer's disease. Hum Mol Genet 25:792–806. https://doi.org/10.1093/hmg/ddv616
Article CAS PubMed Google Scholar
Mitani Y, Yarimizu J, Saita K, Uchino H, Akashiba H, Shitaka Y et al (2012) Differential effects between gamma-secretase inhibitors and modulators on cognitive function in amyloid precursor protein-transgenic and nontransgenic mice. J Neurosci 32:2037–2050. https://doi.org/10.1523/JNEUROSCI.4264-11.2012
Article CAS PubMed PubMed Central Google Scholar
Mondragon-Rodriguez S, Gu N, Manseau F, Williams S (2018) Alzheimer's transgenic model is characterized by very early brain network alterations and beta-CTF fragment accumulation: reversal by beta-secretase inhibition. Front Cell Neurosci 12:121. https://doi.org/10.3389/fncel.2018.00121
Article CAS PubMed PubMed Central Google Scholar
Nalbantoglu J, Tirado-Santiago G, Lahsaini A, Poirier J, Goncalves O, Verge G et al (1997) Impaired learning and LTP in mice expressing the carboxy terminus of the Alzheimer amyloid precursor protein. Nature 387:500–505. https://doi.org/10.1038/387500a0
Article CAS PubMed Google Scholar
Nhan HS, Chiang K, Koo EH (2015) The multifaceted nature of amyloid precursor protein and its proteolytic fragments: friends and foes. Acta Neuropathol 129:1–19. https://doi.org/10.1007/s00401-014-1347-2
Article CAS PubMed Google Scholar
Oddo S, Caccamo A, Shepherd JD, Murphy MP, Golde TE, Kayed R et al (2003) Triple-transgenic model of Alzheimer's disease with plaques and tangles: intracellular Aβ and synaptic dysfunction. Neuron 39:409–421. https://doi.org/10.1016/S0896-6273(03)00434-3
Article CAS PubMed Google Scholar
Osellame LD, Blacker TS, Duchen MR (2012) Cellular and molecular mechanisms of mitochondrial function. Best Pract Res Clin Endocrinol Metab 26:711–723. https://doi.org/10.1016/j.beem.2012.05.003
Article CAS PubMed PubMed Central Google Scholar
Oster-Granite ML, McPhie DL, Greenan J, Neve RL (1996) Age-dependent neuronal and synaptic degeneration in mice transgenic for the C terminus of the amyloid precursor protein. J Neurosci 16:6732–6741
Article CAS PubMed PubMed Central Google Scholar
Oules B, Del Prete D, Greco B, Zhang X, Lauritzen I, Sevalle J et al (2012) Ryanodine receptor blockade reduces amyloid-beta load and memory impairments in Tg2576 mouse model of Alzheimer disease. J Neurosci 32:11820–11834. https://doi.org/10.1523/JNEUROSCI.0875-12.2012
Article CAS PubMed PubMed Central Google Scholar
Pagani L, Eckert A (2011) Amyloid-Beta interaction with mitochondria. Int J Alzheimers Dis 2011:925050. https://doi.org/10.4061/2011/925050
Article CAS PubMed PubMed Central Google Scholar
Pavlov PF, Wiehager B, Sakai J, Frykman S, Behbahani H, Winblad B et al (2011) Mitochondrial gamma-secretase participates in the metabolism of mitochondria-associated amyloid precursor protein. FASEB J 25:78–88. https://doi.org/10.1096/fj.10-157230
Article CAS PubMed Google Scholar
Pera M, Alcolea D, Sanchez-Valle R, Guardia-Laguarta C, Colom-Cadena M, Badiola N et al (2013) Distinct patterns of APP processing in the CNS in autosomal-dominant and sporadic Alzheimer disease. Acta Neuropathol 125:201–213. https://doi.org/10.1007/s00401-012-1062-9
Article CAS PubMed Google Scholar
Pera M, Larrea D, Guardia-Laguarta C, Montesinos J, Velasco KR, Agrawal RR et al (2017) Increased localization of APP-C99 in mitochondria-associated ER membranes causes mitochondrial dysfunction in Alzheimer disease. EMBO J 36:3356–3371. https://doi.org/10.15252/embj.201796797
Article CAS PubMed PubMed Central Google Scholar
Pickles S, Vigie P, Youle RJ (2018) Mitophagy and quality control mechanisms in mitochondrial maintenance. Curr Biol 28:R170–R185. https://doi.org/10.1016/j.cub.2018.01.004
Article CAS PubMed PubMed Central Google Scholar
Piras A, Collin L, Gruninger F, Graff C, Ronnback A (2016) Autophagic and lysosomal defects in human tauopathies: analysis of post-mortem brain from patients with familial Alzheimer disease, corticobasal degeneration and progressive supranuclear palsy. Acta Neuropathol Commun 4:22. https://doi.org/10.1186/s40478-016-0292-9
Article CAS PubMed PubMed Central Google Scholar
Pulina MV, Hopkins M, Haroutunian V, Greengard P, Bustos V (2020) C99 selectively accumulates in vulnerable neurons in Alzheimer's disease. Alzheimers Dement 16:273–282. https://doi.org/10.1016/j.jalz.2019.09.002
Article PubMed Google Scholar
Rah JC, Kim HS, Kim SS, Bach JH, Kim YS, Park CH et al (2001) Effects of carboxyl-terminal fragment of Alzheimer's amyloid precursor protein and amyloid beta-peptide on the production of cytokines and nitric oxide in glial cells. FASEB J 15:1463–1465. https://doi.org/10.1096/fj.00-0724fje
Article CAS PubMed Google Scholar
Reddy PH, Beal MF (2008) Amyloid beta, mitochondrial dysfunction and synaptic damage: implications for cognitive decline in aging and Alzheimer's disease. Trends Mol Med 14:45–53. https://doi.org/10.1016/j.molmed.2007.12.002
Article CAS PubMed PubMed Central Google Scholar
Reddy PH, Yin X, Manczak M, Kumar S, Pradeepkiran JA, Vijayan M et al (2018) Mutant APP and amyloid beta-induced defective autophagy, mitophagy, mitochondrial structural and functional changes and synaptic damage in hippocampal neurons from Alzheimer's disease. Hum Mol Genet 27:2502–2516. https://doi.org/10.1093/hmg/ddy154
Article CAS PubMed PubMed Central Google Scholar
Robinson KM, Janes MS, Pehar M, Monette JS, Ross MF, Hagen TM et al (2006) Selective fluorescent imaging of superoxide in vivo using ethidium-based probes. Proc Natl Acad Sci USA 103:15038–15043. https://doi.org/10.1073/pnas.0601945103
Article CAS PubMed PubMed Central Google Scholar
Rojansky R, Cha MY, Chan DC (2016) Elimination of paternal mitochondria in mouse embryos occurs through autophagic degradation dependent on PARKIN and MUL1. Elife. https://doi.org/10.7554/eLife.17896
Article PubMed PubMed Central Google Scholar
Rossi MJ, Pekkurnaz G (2019) Powerhouse of the mind: mitochondrial plasticity at the synapse. Curr Opin Neurobiol 57:149–155. https://doi.org/10.1016/j.conb.2019.02.001
Article CAS PubMed PubMed Central Google Scholar
Rustin P, Chretien D, Bourgeron T, Gerard B, Rotig A, Saudubray JM et al (1994) Biochemical and molecular investigations in respiratory chain deficiencies. Clin Chim Acta 228:35–51. https://doi.org/10.1016/0009-8981(94)90055-8
Article CAS PubMed Google Scholar
Schreiner B, Hedskog L, Wiehager B, Ankarcrona M (2015) Amyloid-beta peptides are generated in mitochondria-associated endoplasmic reticulum membranes. J Alzheimers Dis 43:369–374. https://doi.org/10.3233/JAD-132543
Article CAS PubMed Google Scholar
Sena LA, Chandel NS (2012) Physiological roles of mitochondrial reactive oxygen species. Mol Cell 48:158–167. https://doi.org/10.1016/j.molcel.2012.09.025
Article CAS PubMed PubMed Central Google Scholar
Sorrentino V, Romani M, Mouchiroud L, Beck JS, Zhang H, D'Amico D et al (2017) Enhancing mitochondrial proteostasis reduces amyloid-beta proteotoxicity. Nature 552:187–193. https://doi.org/10.1038/nature25143
Article CAS PubMed PubMed Central Google Scholar
Tamayev R, D'Adamio L (2012) Inhibition of gamma-secretase worsens memory deficits in a genetically congruous mouse model of Danish dementia. Mol Neurodegener 7:19. https://doi.org/10.1186/1750-1326-7-19
Article CAS PubMed PubMed Central Google Scholar
van Dyck CH (2018) Anti-amyloid-beta monoclonal antibodies for Alzheimer's disease: pitfalls and promise. Biol Psychiatry 83:311–319. https://doi.org/10.1016/j.biopsych.2017.08.010
Article CAS PubMed Google Scholar
Wang X, Su B, Siedlak SL, Moreira PI, Fujioka H, Wang Y et al (2008) Amyloid-beta overproduction causes abnormal mitochondrial dynamics via differential modulation of mitochondrial fission/fusion proteins. Proc Natl Acad Sci USA 105:19318–19323. https://doi.org/10.1073/pnas.0804871105
Article PubMed PubMed Central Google Scholar
Wang X, Wang W, Li L, Perry G, Lee HG, Zhu X (2014) Oxidative stress and mitochondrial dysfunction in Alzheimer's disease. Biochim Biophys Acta 1842:1240–1247. https://doi.org/10.1016/j.bbadis.2013.10.015
Article CAS PubMed Google Scholar
Wang Y, Wu F, Pan H, Zheng W, Feng C, Wang Y et al (2016) Lost region in amyloid precursor protein (APP) through TALEN-mediated genome editing alters mitochondrial morphology. Sci Rep 6:22244. https://doi.org/10.1038/srep22244
Article CAS PubMed PubMed Central Google Scholar
Wilkins HM, Swerdlow RH (2017) Amyloid precursor protein processing and bioenergetics. Brain Res Bull 133:71–79. https://doi.org/10.1016/j.brainresbull.2016.08.009
Article CAS PubMed Google Scholar
Xu LL, Shen Y, Wang X, Wei LF, Wang P, Yang H et al (2017) Mitochondrial dynamics changes with age in an APPsw/PS1dE9 mouse model of Alzheimer's disease. NeuroReport 28:222–228. https://doi.org/10.1097/WNR.0000000000000739
Article CAS PubMed PubMed Central Google Scholar
Yang C, Cai CZ, Song JX, Tan JQ, Durairajan SSK, Iyaswamy A et al (2017) NRBF2 is involved in the autophagic degradation process of APP-CTFs in Alzheimer disease models. Autophagy 13:2028–2040. https://doi.org/10.1080/15548627.2017.1379633
Article CAS PubMed PubMed Central Google Scholar
Yankner BA, Dawes LR, Fisher S, Villa-Komaroff L, Oster-Granite ML, Neve RL (1989) Neurotoxicity of a fragment of the amyloid precursor associated with Alzheimer's disease. Science 245:417–420. https://doi.org/10.1126/science.2474201
Article CAS PubMed Google Scholar
Ye X, Sun X, Starovoytov V, Cai Q (2015) Parkin-mediated mitophagy in mutant hAPP neurons and Alzheimer's disease patient brains. Hum Mol Genet 24:2938–2951. https://doi.org/10.1093/hmg/ddv056
Article CAS PubMed PubMed Central Google Scholar
Yoo SM, Jung YK (2018) A molecular approach to mitophagy and mitochondrial dynamics. Mol Cells 41:18–26. https://doi.org/10.14348/molcells.2018.2277
Article CAS PubMed PubMed Central Google Scholar
Zhang L, Trushin S, Christensen TA, Bachmeier BV, Gateno B, Schroeder A et al (2016) Altered brain energetics induces mitochondrial fission arrest in Alzheimer's disease. Sci Rep 6:18725. https://doi.org/10.1038/srep18725
Article CAS PubMed PubMed Central Google Scholar

Download references

Acknowledgements

This work was supported by Inserm (MC, and FC), Fondation Vaincre Alzheimer (Grant # FR18-035) (MC), Université Côte d’Azur (Living-systems-complexity-and-diversity) (MC), LABEX (excellence laboratory, program investment for the future), DISTALZ (Development of Innovative Strategies for a Transdisciplinary approach to Alzheimer’s disease) (FC and LB), the University Hospital Federation (FHU) OncoAge (FC), São Paulo Research Foundation (FAPESP, Grant #2018/14289-6) (PFK). We acknowledge Ph.D. fellow support from research ministry to LVB. We acknowledge Ph.D. fellow support from DISTALZ to AM. We acknowledge the University’s CCMA, Electron Microscopy facility supported by Université Côte d’Azur, the “Conseil Régional Sud Est PACA”, the “Conseil Départemental 06” and Gis Ibisa, and we thank Alyssia Mari and Christelle Boscagli for technical help.

Author information

Vaillant-Beuchot Loan and Mary Arnaud have contributed equally to this work.
Checler Frédéric and Chami Mounia share co-senior authorship.

Authors and Affiliations

Institut of Molecular and Cellular Pharmacology, Laboratory of Excellence DistALZ, Université Côte d’Azur, INSERM, CNRS, Sophia-Antipolis, 06560, Valbonne, France
Loan Vaillant-Beuchot, Arnaud Mary, Raphaëlle Pardossi-Piquard, Alexandre Bourgeois, Inger Lauritzen, Fanny Eysert, Paula Fernanda Kinoshita, Julie Cazareth, Céline Badot, Renaud Bussiere, Cécile Martin, Rosanna Mary, Charlotte Bauer, Frédéric Checler & Mounia Chami
Department of Pharmacology, Instituto de Ciências Biomédicas, Universidade de São Paulo, São Paulo, Brazil
Paula Fernanda Kinoshita
Université Côte d’Azur, CHU, Inserm, CNRS, IRCAN, Nice, France
Konstantina Fragaki & Véronique Paquis-Flucklinger
Department of Medicine, Burlington Danes Building, Hammersmith Hospital Campus, Imperial College London, UK Dementia Research Institute, Du Cane Road, London, W12 0NN, UK
Renaud Bussiere
Université Côte d’Azur, Centre Commun de Microscopie Appliquée (CCMA), Parc Valrose, 06108, Nice, France
Sophie Pagnotta & Sandra Lacas-Gervais
Univ. Lille, Inserm, CHU-Lille, Lille Neuroscience and Cognition, Place de Verdun, 59045, Lille, France
Valérie Buée-Scherrer & Luc Buée
Inserm UMR-S 1172, Laboratory of Excellence DistALZ, ‘Alzheimer and Tauopathies’, Bâtiment Biserte, rue Polonovski, 59045, Lille Cedex, France
Valérie Buée-Scherrer & Luc Buée

Authors

Loan Vaillant-Beuchot
View author publications
You can also search for this author in PubMed Google Scholar
Arnaud Mary
View author publications
You can also search for this author in PubMed Google Scholar
Raphaëlle Pardossi-Piquard
View author publications
You can also search for this author in PubMed Google Scholar
Alexandre Bourgeois
View author publications
You can also search for this author in PubMed Google Scholar
Inger Lauritzen
View author publications
You can also search for this author in PubMed Google Scholar
Fanny Eysert
View author publications
You can also search for this author in PubMed Google Scholar
Paula Fernanda Kinoshita
View author publications
You can also search for this author in PubMed Google Scholar
Julie Cazareth
View author publications
You can also search for this author in PubMed Google Scholar
Céline Badot
View author publications
You can also search for this author in PubMed Google Scholar
Konstantina Fragaki
View author publications
You can also search for this author in PubMed Google Scholar
Renaud Bussiere
View author publications
You can also search for this author in PubMed Google Scholar
Cécile Martin
View author publications
You can also search for this author in PubMed Google Scholar
Rosanna Mary
View author publications
You can also search for this author in PubMed Google Scholar
Charlotte Bauer
View author publications
You can also search for this author in PubMed Google Scholar
Sophie Pagnotta
View author publications
You can also search for this author in PubMed Google Scholar
Véronique Paquis-Flucklinger
View author publications
You can also search for this author in PubMed Google Scholar
Valérie Buée-Scherrer
View author publications
You can also search for this author in PubMed Google Scholar
Luc Buée
View author publications
You can also search for this author in PubMed Google Scholar
Sandra Lacas-Gervais
View author publications
You can also search for this author in PubMed Google Scholar
Frédéric Checler
View author publications
You can also search for this author in PubMed Google Scholar
Mounia Chami
View author publications
You can also search for this author in PubMed Google Scholar

Contributions

MC conceived and designed the study, analyzed data, and wrote the manuscript. FC supports the project, discussed data, and edited the manuscript. LVB and AM participated to manuscript writing. RPP, FE, PFK, LB, and VBS edited the manuscript. LVB, AM, FE, C. Badot, and MC conducted biochemistry, and mitophagy experiments in cellular models. LVB, JC, PFK, and MC conducted FACS experiments. RM and MC analyzed mitochondrial structure by confocal imaging. RB and CM participated to biochemistry and RT-PCR analyses. AM, and MC analyzed WT, 3xTgAD, 2xTgAD, and AAV-injected mice models and human brains. IL and MC prepared mice brains for electron microscopy. BO generated SH-SY5Y C99 stable cell line. RPP analyzed mitochondrial respiratory chain expression in C99-expressing cells, generated and analyzed AAV-C99 mice model. RPP, PFK, and MC analyzed mitochondrial structure in AAV-injected mice. C. Bauer maintained mice colonies. SLG, SP, conducted electron microscopy experiments. Mitochondrial respiratory chain function was performed in collaboration with KFM, and VPF.

Corresponding author

Correspondence to Mounia Chami.

Ethics declarations

Conflict of interest

Authors declare no conflict of interest.

Ethical approval

All applicable international, national, and/or institutional guidelines for the care and use of animals were followed. All procedures performed in studies involving animals were in accordance with the ethical standards of the institution or practice at which the studies were conducted. In vivo experiments were performed in accordance with the guidelines established by the European community council (Directive of November 24th, 1986), and approved by Nice university Animal care and use Committee, and the National Council on animal care of the Ministry of Health (Project n°: APAFIS#20495-201904231352370). All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical studies. Brain samples were obtained from the Brain Bank “NeuroCEB” run by a consortium of Patients Associations: ARSEP (association for research on multiple sclerosis), CSC (cerebellar ataxias), and France Parkinson. The consents were signed by the patients themselves or their next of kin in their name, in accordance with the French Bioethical (agreement AC-2013-1887). Cases were anonymized, but information was provided regarding sex, age at death, and neuropathology (Suppl.Table 1, online resource).

Informed consent

Informed consent for tissue donation for research is obtained by the brain banks under their approval procedures.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Electronic supplementary material

Below is the link to the electronic supplementary material.

Supplementary file1 (PDF 1716 kb)

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

Reprints and Permissions

About this article

Cite this article

Vaillant-Beuchot, L., Mary, A., Pardossi-Piquard, R. et al. Accumulation of amyloid precursor protein C-terminal fragments triggers mitochondrial structure, function, and mitophagy defects in Alzheimer’s disease models and human brains. Acta Neuropathol 141, 39–65 (2021). https://doi.org/10.1007/s00401-020-02234-7

Download citation

Received: 09 June 2020
Revised: 03 September 2020
Accepted: 01 October 2020
Published: 20 October 2020
Issue Date: January 2021
DOI: https://doi.org/10.1007/s00401-020-02234-7

Keywords

Alzheimer’s disease
Amyloid precursor protein
Amyloid beta
APP-CTFs
C99
C83
Mitochondria
Mitophagy