Abstract
After traumatic brain injury (TBI) cerebral inflammation with invasion of neutrophils and lymphocytes is a crucial factor in the process of secondary brain damage. In TBI the intrinsic renin-angiotensin system is an important mediator of cerebral inflammation, as inhibition of the angiotensin II receptor type 1 (AT1) reduces secondary brain damage and the invasion of neutrophil granulocytes into injured cerebral tissue. The current study explored the involvement of immune cells in neuroprotection mediated by AT1 inhibition following experimental TBI. Four different cohorts of male mice were examined, investigating the effects of neutropenia (anti-Ly6G antibody mediated neutrophil depletion; C57BL/6), lymphopenia (RAG1 deficiency, RAG1−/−), and their combination with candesartan-mediated AT1 inhibition. The present results showed that reduction of neutrophils and lymphocytes, as well as AT1 inhibition in wild type and RAG1−/− mice, reduced brain damage and neuroinflammation after TBI. However, in neutropenic mice, candesartan did not have an effect. Interestingly, AT1 inhibition was found to be neuroprotective in RAG1−/− mice but not in neutropenic mice. The findings suggest that AT1 inhibition may exert neuroprotection by reducing the inflammation caused by neutrophils, ultimately leading to a decrease in their invasion into cerebral tissue.
Similar content being viewed by others
Introduction
The leading cause of trauma-related death and profound disability in developed countries is traumatic brain injury (TBI)1. After the mechanical impact (primary injury), deleterious mechanisms such as cerebral inflammation trigger the propagation of a secondary brain injury into the adjacent healthy tissue2. The early and vigorous immune response is marked by the activation of the innate immunity, which involves brain resident microglia, and infiltration of peripheral immune cells, particularly neutrophils, into the injured tissue3,4. The subsequent engagement of the adaptive immune system is characterized by the invasion of B and T lymphocytes3,4,5,6. One crucial mediator of neuroinflammation is angiotensin II (AngII)4,7,8, the main effector peptide of the intrinsic cerebral renin-angiotensin system (RAS). The activation of AngII receptor type 1 (AT1) mediates vasoconstriction and various pro-inflammatory processes, aggravating secondary brain damage following cerebral insults8,9,10,11,12,13,14. AT1 signaling is mediated by extracellular signal-regulated kinases (ERK1/2), mitogen-activated protein kinases (MAPK, JNK, p38MAPK), glycogen synthase kinase, Rho/ROCK kinase, receptor tyrosine- (PDGF and EGFR) and non-receptor tyrosine-kinases (Src, Pyk2, and JAK/STAT)15. Recent experimental TBI studies have indicated that AT1 inhibition reduces secondary brain damage and improves neurological outcome4,8,16,17. In mice treated with the specific AT1 inhibitor candesartan, we observed reduced microglial activation and a decrease in the infiltration of neutrophils into injured brain tissue4. These findings suggest that one possible underlying mechanism of AT1 inhibition-mediated neuroprotection may be a reduction in neutrophil invasion4. In the current study, our aim was to test this hypothesis by investigating the role of neutrophils and lymphocytes in the context of AT1 inhibition following experimental TBI. For this purpose, we employed wild type mice, both with or without neutrophil depletion, as well as recombination activating gene 1—deficient mice (RAG1−/−), which are devoid of mature B- and T-lymphocytes. We selected the observation times for each study based on the peak infiltration of these two immune cell types into the brain tissue. Previous research has demonstrated that neutrophils infiltrate the cortical brain tissue in the early stages (between 4 and 72 h), with parenchymal infiltration peaking at 1 day after TBI18,19. Therefore, in study A, we utilized observation periods of 4 and 24 h following the TBI. Investigations have shown that lymphocytes begin to invade the cerebral tissue from the third day following the injury6,18. Consequently, in study B, we selected the observation periods of 1 and 5 days after TBI. To ensure comparability of the effect of candesartan on both neutropenic and lymphopenic mice, we opted for a 72-h observation period after the TBI for studies C and D, respectively18. Our primary endpoints were secondary brain damage, cerebral inflammation, and neurological outcomes.
Materials and methods
Animals
A total of 152 male C57BL/6 and RAG1 deficient mice were studied in four different cohorts. In studies A and C, adult male, 8 weeks old, C57BL/6 mice (wild-type (WT) mice; Charles River Deutschland GmbH; Sulzfeld, Germany) were examined. In Study B and D, we investigated male knockout mice lacking RAG1 (RAG1−/−; Translational Animal Research Center of the University Medical Center of the Johannes Gutenberg-University). Mice were randomly assigned to experimental groups (www.pubmed.de/tools/zufallsgenerator). Experiments and analyses were performed by investigators blind towards group allocation and treatment. The studies were performed with the approval of the Animal Care and Ethics Committee of Rhineland-Palatinate, Germany in accordance with the institutional guidelines of the Johannes Gutenberg University, Mainz (protocol number: 23177-07/G13-1-046) and in compliance with the ARRIVE guidelines. The animals were kept under controlled light and environmental conditions (12-h dark/light cycle, 23 ± 1 °C, 55% ± 5% relative humidity), and had free access to food (Altromin, Germany) and water at all times before and after the experiments.
Experimental TBI and anesthesia
Animals were anesthetized by intraperitoneal (i.p.) application of midazolam (Hameln pharmaceuticals GmbH; Hameln, Germany), fentanyl (CuraMed, Karlsruhe, Germany) and medetomidine (Dorbene vet; Wien, Austria). An air mixture (40% O2 and 60% N2) was supplied via facemask in spontaneously breathing mice20. Depth of anesthesia was verified by respiration rate and pedal withdrawal reflexes. Rectal temperature was maintained constant at 37 °C by feedback-controlled heating pad (Hugo Sachs, Germany). TBI was performed by controlled cortical impact (CCI) as previously described in detail8,21. Briefly, the animal’s head was fixed in a stereotactic frame (Kopf Instruments, USA) and a large craniotomy (4 × 4 mm) was drilled above the right parietal cortex between sagittal, lambdoid, coronal sutures and insertion of the temporal muscle. A custom-fabricated controlled pneumatic impactor (L. Kopacz, Mainz, Germany) was placed perpendicularly to the brain surface and the impactor tip (diameter: 3 mm) centered in the middle of the craniotomy. The impact parameters were as follows: velocity, 8 m/s; duration, 150 ms; brain penetration, 1 mm. Immediately after CCI, the craniotomy was closed with conventional tissue glue (Histoacryl, Braun-Melsungen, Germany) and filament sutures. After the procedure animals were placed in their individual cages and allowed to recover for 6 h in an incubator heated to 33 °C, at a humidity of 35% (IC8000, Draeger, Lübeck, Germany).
Treatment
Application of antibodies for neutrophil granulocyte depletion and control antibodies
For the depletion of neutrophils in WT mice (studies A and C) the Ly6G-specific antibody (anti-mouse, clone 1A8) was used. In the control antibody group, we used the isotype control antibody immunoglobulin IgG2a (rat, clone: 2A3). Both antibodies, anti-Ly6G (1A8) and IgG2a (2A3) (BXCell; West Lebanon, USA) were diluted in PBS with a final concentration of 2.5 mg/mL. We injected 0.2 mL (0.5 mg) of anti-Ly6G antibody (ND) and the same volume of the control IgG2a antibody (Ctrl) intraperitoneally (i.p.) 24 h before (studies A and C) and 24 h after experimental TBI (study C).
Application of the AT1 inhibitor candesartan or vehicle solution
In both studies (C, D) candesartan, a specific AT1 inhibitor was applied. Candesartan (CV-11974; Tocris bioscience; Bristol, UK) and the vehicle solution were prepared and applied as previously described8: The crystalline form of the active drug candesartan was dissolved prior each set of experiments in 0.037 M Na2CO3 (vehicle solution) in a concentration of 10 µg/mL. The animals received 0.1 mg/kg candesartan (Cand) or vehicle solution (Veh) by subcutaneous (s.c.) injection 30 min after experimental TBI, followed by a daily injection, 24 and 48 h after TBI.
Experimental protocols (Fig. 1)
Study A: effect of neutrophil granulocyte depletion 4 and 24 h after TBI
WT mice were randomized to i.p. injection with specific anti-Ly6G (1A8) for neutrophil depletion (ND) or control antibody (Ctrl; IgG2a (2A3)) 24 h before TBI. Lesion volume and cerebral inflammation were determined 4 h (ND-4h, Ctrl-4h; n = 6/group) and 24 h after TBI (ND-24h, Ctrl-24h; n = 8/group). Tissue neutrophil infiltration was quantified by parenchymal myeloperoxidase (MPO) gene expression at both time points. Additionally, neurological outcome was assessed 24 h after TBI. In mice without TBI, neutrophil depletion was controlled by differential blood cell count 24 h after application (ND-0, Ctrl-0; n = 2/group).
Study B: effect of RAG1 deficiency mediated lymphopenia 24 h and 5 days after TBI
In RAG1-deficient mice (RAG1−/−) and their RAG1+/+ wild type litter mates lesion volume and neurology were assessed 24 h (n = 10/group) and 5 days (n = 8/group) after CCI.
Study C: effect of AT1 inhibition in neutrophil depleted mice 3 days after TBI
Mice were randomized to treatment (24 h before and repeated 24 h after TBI) with either anti-Ly6G (ND) or IgG2a control antibody (Ctrl). They were subjected to CCI and then randomly assigned to additional treatment with candesartan (Cand) or vehicle solution (Veh), performed 30 min after TBI and then repeated daily, 24 and 48 h after TBI (Fig. 1). Therefore, the animals were randomly allocated to four treatment groups: Ctrl-Cand, Ctrl-Veh, ND-Cand and ND-Veh (n = 12/group). After the 72-h observation period, brains were removed for quantification of lesion volume, cytokine expression and activated microglia. Blood samples were withdrawn for hematological quantification of white blood cells (WBC), lymphocytes and neutrophils. For comparison we used naïve (non-operated) WT mice (n = 6; Fig. 1).
Study D: effect of AT1 inhibition in lymphopenic RAG1-deficient mice 3 days after TBI
RAG1-deficient mice were randomly assigned to candesartan or vehicle solution treatment (RAG1−/−-Cand, RAG1−/−-Veh; n = 12/group) at 30 min, 24 and 48 h after TBI (Fig. 1). As in study C, 72 h after TBI, lesion volume, cytokine expression and activated microglia were quantified and hematologic assessment was performed. Additionally, we used naïve RAG1−/− mice (n = 6; Fig. 1).
Measurement of physiological parameters
Before, and after experimental TBI body weight of each mouse was controlled. Blood pressure was measured 5 min before and after CCI under general anesthesia at the tail using a modified NIBP system (RTBP 2000, Kent Scientific, Torrington, USA; A/D converter: PCI 9112, Adlink Technology, Taiwan; software: Dasylab 5.0, measX, Germany; Flexpro 6.0, Weisang, Germany) as previously described20. Additionally, blood pressure values were determined in awake animals daily for 8 days before (training phase) and for 2 days after CCI. Perioperative body temperature was measured by a rectal temperature probe (Physitemp; Clifton, NJ, USA).
Assessment of functional outcome
In studies A, C and D neurological outcome was assessed using the rotarod performance test (Heidolph Instruments GmbH &Co.; Schwabach, Germany) as previously described22,23,24,25. After a pre-training phase (mice remained on a rotating rod for 20 s at 4 rpm) two days before TBI, the time to fall from the accelerating rod in the 2-min test period was registered. This test assesses coordination and motoric function and was performed 1 day before, 24 and 72 h after CCI. In study B functional outcome was determined by Neurological Severity Score26. In addition to the rotarod test, in studies C and D, functional outcome was also determined by modified neurological severity score (mNSS; modified after Tsenter et al.26) 1 day before and 24 and 72 h after CCI4. To calculate mNSS, general behavior, alertness, motor ability and balance were rated with 6 different tasks. Each task was scored from 0 (normal) up to 3 (failed task). The mNSS ranges from 0 (healthy) to 16 (severely impaired) points27 (Table 1). All neurological tests were performed by investigators blinded towards experimental group allocations.
Flow cytometry and blood cell count
At the end of observation period, great care was taken to perform accurate routine differential blood cell count. In deep anesthesia, EDTA anti-coagulated blood samples were taken from the retro-orbital veins as previously described28. The differential blood cell count was obtained via the ADVIA 2120i Hematology system by a medical technician specialized in murine blood analyses and blinded to experimental group allocation. The ADVIA 2120i is a Ly6G-independent full automated veterinary flow cytometry analyzer, validated for murine blood analyses. The analyses were performed after the standardized protocol of the Institute of Clinical Chemistry and Laboratory Medicine of the University Medical Center of Mainz (ADVIA 2120i Hematology System; Siemens Healthcare, Erlangen, Germany; https://www.siemens-healthineers.com/en-us/hematology/systems/advia-2120-hematology-system-with-autoslide). The hematology analyzer ADVIA 2120i is a flow cytometry-based system that uses laser light scatter to differentiate and count WBC in two different ways: the peroxidase method and the lobularity/nuclear density method29. The peroxidase method uses the myeloperoxidase (MPO) to detect, differentiate and quantify the WBC when they pass through the flow cell. With the help of an optical system all WBC are counted, and peroxidase reagents are used to distinguish between MPO-positive cells, such as neutrophils, eosinophils, and monocytes, and peroxidase-negative cells, which include lymphocytes, and basophils29. The cells absorb light in proportion to the amount of peroxidase stain present, and this peroxidase activity parameter is represented on the x-axis of the peroxidase cytogram (Fig. 2a). Cells scatter light in proportion to their size, and this cell size parameter is represented on the y-axis of the cytogram (Fig. 2a). When the light-scatter and absorption data are plotted, distinct populations or clusters are formed, and cluster analysis is applied to identify different cell populations29. In the lobularity/nuclear density channel, surfactant and phthalic acid are used to lyse red blood cells and platelets, and to strip away the cytoplasmic membrane from all leukocytes, except basophils. Cells are then counted, and classified, according to size, lobularity, and nuclear density29. By the cluster analysis, the polymorphonuclear cells (neutrophils), the mononuclear leukocytes as well as the basophils are quantified.
Histologic and immunohistochemical evaluation
According to our previous protocol4 brains were removed in deep anesthesia. For tissue evaluation, the brains were frozen in powdered dry ice and stored at − 20 °C. They were then cut in coronal plane with a cryostat (HM 560 Cryo-Star, Thermo Fisher Scientific, Walldorf, Germany) as previously described in detail8. The first slide was defined according to the first section corresponding to bregma + 3.14 mm in the Mouse Brain Library (www.mbl.org). 16 sections (12 and 20 µm) were collected at 500 µm-intervals, placed on Superfrost + TM slides (Thermo Fisher Scientific, Germany). In cresyl violet (Merck, Darmstadt, Germany) stained sections (12 µm), the total area of both hemispheres and the injured brain tissue area were determined for each section and animal using a computerized image analysis system (Delta Pix Insight; Maalov, Denmark) by an investigator blind to the group allocation. The total hemispheric brain volumes and the lesion volumes were calculated by following formula: 0.5 [mm] × (area of slide 1 [mm2] + area of slide 2 [mm2] + … + area of slide 16 [mm2])4,8. Immunohistochemical staining was performed as described before27. Briefly, cryosections (20 µm) were fixed in 4% paraformaldehyde in phosphate buffered saline (PBS), incubated with blocking solution (5% goat serum, 1% bovine serum albumin, and 0.1% TX-100 in PBS) for 1 h at room temperature. Primary antibodies specific for anti-ionized calcium-binding adapter molecule-1 (Iba-1; rabbit anti-mouse, anti-Iba-1 antibody; Wako Chemicals GmbH, Neuss, Germany), or Gr1 (rat anti-Ly6g + Ly6c, clone RB6-8C5, Abcam, UK) were applied in blocking solution overnight at 4 °C. The sections were washed, incubated with secondary biotin-conjugated antibodies (goat anti-rabbit IgG; Merck; Darmstadt, Germany) and processed according to the manufacturer’s instructions using Vectastain Elite ABC Kit (Vector Laboratories, Burlingame, USA), or fluorophore conjugated secondary antibodies (goat anti-rabbit IgG, Biotinylated; Merck; Darmstadt, Germany or goat anti-rat IgG Alexa Fluor 488, Thermo Fisher). Images of anti-Iba-1 immunostaining were taken at × 20 magnification (Axiovert, Zeiss, Germany), for anti-Gr-1 immunostaining at × 10 magnification (Keyence, BZ-X800). The total number of Iba-1-positive cells were counted at bregma − 1.28 mm in a region of interest (ROI) of 0.52 × 0.65 mm2 in the cortical tissue adjacent to the lesion by an investigator blind to randomization, using ImageJ software (National Institutes of Health, USA). Iba-1-immunolabeled cells with appropriate morphology and appearance30 were identified as activated microglia/macrophages and assessed in the ROI (0.52 × 0.65 mm2 in the cortical tissue adjacent to the lesion). The rationale for counting Iba-1-positive cells in an area adjacent to the lesion rather than within the lesioned area was, that inside the lesion, where the tissue is essentially destroyed, microglia/macrophages are almost absent. In the perilesional area, however, there is a robust activation of microglia/macrophages. Results are presented in number of activated Iba-1 positive cells/mm2. Unfortunately, technical difficulties prevented us from obtaining an adequate quantitative assessment of Gr1-positive cells. Therefore, we present qualitative images with Gr1 staining (Fig. 2b).
Gene expression analysis
Brain tissue samples from the lesion and perilesional area of 500 µm coronal cryostat sections between histologic slice intervals were collected, snap frozen in liquid nitrogen, stored at − 80 °C. As described previously in detail4,31, after tissue sampling, extraction of mRNA and cDNA synthesis qPCR were performed (lysis: Qiazol-reagent, Qiagen, Hilden, Germany; homogenization: MM300 mill mixer, Retsch, Haan, Germany; RNA isolation: RNeasy Lipid Tissue Kit, Qiagen, Hilden, Germany; RNA concentration determined by spectrometer: NanoVue System, GE Healthcare Europe, Munich, Germany; RNA to cDNA reverse transcription Verso cDNA Kit, ABgene, Hamburg, Germany; cDNA amplification: real-time Ligthcycler 480 PCR System, Roche). PCR fragments of all applied genes were generated by PCR on an Eppendorf Thermocycler gradient (Eppendorf, Hamburg, Germany). The PCR products were purified with QIA quick PCR Purification Kit (Qiagen) according to the manufacturer´s instructions, and the DNA concentration was determined using NanoVue. A standard curve for absolute quantification was generated with PCR DNA for each PCR product (101–107 DNA copies/µl), showing similar and good efficiency (90–110%; LightCycler Software, Roche) and linearity. Equal amounts of cDNA (1 µL) of each sample were analyzed in duplicates and amplified by real-time Lightcycler 480 PCR System (Roche). Real-time RT PCR kits were used according to the manufacturer´s instructions. All assays were conducted by an investigator blinded to group allocation. Using mouse-specific primers and probes (Table 2) and optimized temperature conditions for qPCR, absolute copy numbers of the target genes, tumor necrosis factor α (TNFα), transforming growth factor β (TGFβ), interleukin 1β (IL1β), interleukin 6 (IL6), inducible nitric oxide synthase (iNOS) and myeloperoxidase (MPO) were calculated, and were then normalized against the absolute copy numbers of cyclophilin A (PPIA)4,6,8,32. The reference gene PPIA was chosen as single normalizer33 based on recent findings in our housekeeping gene study32. In order to improve comparability of the mRNA expression data between different treatment groups, and to eliminate qPCR kit dependent differences and limitations, qPCR data was normalized with PPIA and then related to normalized naïve target gene expression from naïve tissue samples from the corresponding brain region34. Therefore, normalized target gene expression values are expressed as % naïve expression4.
Statistical analysis
All experiments were randomized and performed by investigators blinded toward the treatment groups (computer-based randomization: www.pubmed.de/tools/zufallsgenerator). In order to determine the required sample size, the a priori power analysis using G ∗ Power35 was performed with the main variable, the primary endpoint, lesion volume data from previously published studies4,8. Therefore, based upon the data of these studies the present a priori power analysis was performed to determine an effect size of d 1.75, with an actual standard statistical power (1−β) of 0.95, and a significance level (α) of 0.05 and a sample size per group of n = 7. In order to have a sufficient power, we decided to have larger sample sizes (n = 8–12, per group)36. Statistical analysis was performed using the GraphPad Prism 8 Statistical Software (GraphPad Software Inc., La Jolla, CA, USA). Data distribution was tested by Shapiro-Wilks test. The comparisons of parametric and non-parametric data between two independent groups were done using the Welch-t test and the Wilcoxon rank sum test, respectively. For the statistical analysis of mNSS we performed ANOVA on ranks with the Kruskal–Wallis test, corrected for multiple comparisons using the Dunn’s test. In this multi-arm parallel group randomized trial, for comparison of multiple independent groups, if the Shapiro–Wilk normality test was passed, one-way analysis of variance (one- way ANOVA) with post-hoc Holm-Šidák comparisons test (comparisons between all groups) was employed. In experimental groups where two separate treatment factors (neutrophil depletion and AT1 inhibition) are present, a two-way analysis of variance (two-way ANOVA) was performed. Physiologic data, blood cell count, lesion volumes, number of activated microglia and mRNA expression data were compared between experimental groups with two-way ANOVA and post hoc with all-pairwise multiple comparison procedures (Holm-Šidák method). To evaluate group differences in repeated measurements from the same animals (body weight, systolic blood pressure), repeated measures (RM) two-way ANOVA (two-factor repetition) was applied (factors: treatment and time), followed by Šidák’s multiple comparisons test. Whenever there were missing values in the repeated measures dataset and a two-way ANOVA was not possible, repeated measures (mNSS, rotarod) data were analyzed with the mixed effect model using the restricted maximum likelihood (REML) method with Holm Šidák’s multiple comparison test. The p values were adjusted for multiple comparisons. Values of p < 0.05 were considered significant. To identify outliers in our dataset, we employed a combination of the iterative Grubb's test and Z-scores using the 2 standard deviations method with a confidence interval of 95%, where appropriate. Additionally, we have included scatter plots in the figures to depict the data distribution effectively. Data are presented as mean and standard deviation (mean ± SD).
Ethics approval
The studies were performed with the approval of the Animal Care and Ethics Committee of Rhineland-Palatinate, Germany in accordance with the institutional guidelines of the Johannes Gutenberg University, Mainz (protocol number: 23177-07/G13-1-046).
Results
Perioperative physiological parameters were stable in all groups
Peri- and intraoperative body temperature and systolic blood pressure were in all mice within physiological range, without considerable difference between groups (Table 3). As published earlier, in our standardized anesthesia and operation setting, values were stable and within physiological limits6.
Low-dose candesartan treatment did not influence blood pressure after CCI
As the specific AT1 antagonist candesartan is used for the treatment of arterial hypertension, we determined its influence on arterial blood pressure. In the present study, low dose (0.1 mg/kg) candesartan treatment did not to alter blood pressure, as shown in previous studies4,8. During the observation period, in all groups, blood pressure was within physiological range (Table 3).
After TBI bodyweight was not affected by anti-Ly6G, RAG1-deficiency or AT1 inhibition
In naïve mice bodyweight was 24.7 ± 2.2 g. Before TBI, initial bodyweight was in Ctrl-4h mice 25.6 ± 0.9 and in ND-4h mice 25.5 ± 1.1 g. After 24 h, bodyweight was reduced in both Ctrl and ND, without any difference (before: 25.8 ± 0.7 and 26.0 ± 1.2 g; 24 h after TBI: 24.1 ± 1.2* and 24.3 ± 1.3*, for Ctrl and ND, respectively, *p < 0.001 vs. before TBI). The body weight of RAG1+/+ and RAG1−/− were similarly reduced after CCI (24-h investigation: before: 22.7 ± 0.8 and 24.2 ± 1.9 g; 24 h after TBI: 20.3 ± 1.2* and 21.5 ± 1.7* g, for RAG1+/+ and RAG1−/−, respectively, *p < 0.001 vs. before TBI). In the 5-days investigation, after a body weight loss at 1 day after CCI, RAG1+/+ and RAG1−/− animals regained weight at 5 days after CCI in both groups (before TBI: 22.4 ± 1.1 and 22.2 ± 1.2 g, 1 day after TBI: 20.6 ± 1.2*# and 20.4 ± 0.5*# and 5 days after TBI: 22.3 ± 0.9 and 21.8 ± 1.5, for RAG1+/+ and RAG1−/−, respectively, *p < 0.001 vs. before and #p < 0.001 1 vs. 5 days after TBI). In both investigations RAG1 deficiency did not affect posttraumatic body weight loss. In all groups, there is a significant posttraumatic decrease of bodyweight, with a minimum on day 2 and an increase on day 3. However, neither neutrophil depletion, nor RAG1 deficiency, nor AT1 inhibition affected posttraumatic body weight loss, compared to control antibody, wild type or vehicle solution treated mice (Table 4).
Neutropenia was achieved with anti-Ly6G in WT, lymphopenia was present in RAG1−/− mice
Differential blood cell counts were performed (Table 5). In animals without TBI, neutrophils were reduced from 10.8 ± 4.1% (0.64 ± 0.25 × 103 cells/µL) in naïve WT mice to 2.9 ± 0.4% (0.15 ± 0.01 × 103 cells/µL; ND-0) in anti-Ly6G, compared to control antibody treated mice (IgG2A): 10.1 ± 1.3% (0.61 ± 0.30 × 103 cells/µL; Ctrl-0). In Ctrl-mice WBC were reduced 4 h after TBI by 40% (Ctrl-4h). However, 24 h (Ctrl-24h) and 72 h after TBI (Ctrl-Veh and Ctrl-Cand) WBC values corresponded to initial naïve values. In ND-mice WBC reduction was more distinct and sustaining (ND-4h and-24h), with lasting relatively low WBC count to day 3 after TBI (ND-Veh and ND-Cand). In non-neutrophil-depleted mice, as a response to TBI, there was a shift from lymphocyte-dominated (84%) WBC to an elevation of the neutrophil fraction from 11% (naïve), to 43%, followed by a continuous decrease by 33% to 29 at 24 h (p < 0.05; Fig. 2a) and to 16% at 72 h in Ctrl-treated mice after TBI. In ND mice, in contrast, after TBI there is no initial elevation of neutrophils. Moreover, 24 and 72 h after TBI there is a significant neutropenia in ND-mice alongside elevated lymphocyte counts. Candesartan did not affect neutrophil counts (Table 5). Naïve RAG1−/− mice are leukopenic, reduced lymphocyte counts (40%) are compensated by elevated neutrophil numbers (34%). After TBI in RAG1−/− mice there is a decrease of WBC in vehicle treated mice, whereas in candesartan treated mice the decrease is not significant. In RAG1−/− there is also a decrease of lymphocytes (25%) and an increase of neutrophils to 50%, after TBI, that are not affected by AT1 inhibition (Table 5). There is a sustaining posttraumatic decrease of monocytes in all groups. In candesartan treated ND mice, however there is a normalization of monocyte count 3 days after TBI. At 4 h after TBI there is a transient elevation of hemoglobin and hematocrit, with normalization of these parameters at 24 and 72 h after TBI. Platelets were within a physiological range in all groups at all time points and not affected by the treatment (Table 5).
Study A: effect of Neutrophil granulocyte depletion
Neutrophil depletion reduced tissue infiltration of neutrophils only at 4 h after TBI
To detect the neutrophil infiltration into injured brain tissue we analyzed the gene expression of MPO, considered a neutrophil marker37, by qPCR (normalized naïve expression: 0.00000548 ± 0.00000017 mRNA/PPIA). In the first 4 h after TBI the gene expression of MPO is elevated to 159 ± 60% naïve in Ctrl mice. Neutrophil depletion by anti-Ly6G reduced MPO expression within the injured brain tissue by 56% (70 ± 24% naïve; p < 0.05), compared to Ctrl mice, at 4 h after CCI (Fig. 2b). However, at 24 h after TBI (i.e.: 48 h after application of anti-Ly6G), MPO gene expression of ND mice increased to the level of Ctrl (p < 0.05%; Fig. 2b), despite reduced neutrophils in the WBC count of ND mice (Fig. 2a).
Neutrophil granulocyte depletion reduced lesion volume 24 h after TBI
Lesion volume was assessed 4 h and 24 h after CCI in Nissl-stained sections (Fig. 2c). In Ctrl mice, lesion volume increased from 32.9 ± 10.0 mm3 (21.0 ± 6.5% contralateral hemisphere volume, %-clh) at 4 h, to 43.6 ± 7.8 mm3 (27.7 ± 5.8%-clh) at 24 h after TBI (p < 0.05). In ND mice, there was no increase in lesion volume at 24 h (29.2 ± 2.8 mm3; 18.7 ± 1.7%-clh) compared to 4 h after TBI (31.7 ± 3.2 mm3; 20.1 ± 2.5%-clh). Moreover, neutrophil depletion reduced the lesion volume 24 h after TBI compared to control group by 33% (p < 0.05, Fig. 2c).
Neutrophil granulocyte depletion reduced cerebral inflammation
Number of Iba-1-positive cells was assessed at bregma − 1.28 mm in the cortical perilesional tissue in a ROI (0.52 × 0.65 mm2) adjacent to the injury, results are expressed as number of Iba-1-positive cells/mm2. Compared to 4 h after TBI (n = 117 ± 11/mm2), there was a decrease of Iba-1-positive cells 24 h after TBI in Ctrl mice (n = 99 ± 17/mm2; p < 0.05). However, neutrophil depletion did not affect the number of Iba-1-positive microglia/macrophages in the first 24 h after TBI (Fig. 2d). Cytokine gene expressions were determined by qPCR: normalized naïve expressions [mRNA/PPIA]: IL1β: 0.00197 ± 0.00044; IL6: 0.06063 ± 0.01640; TNFα: 2.3488 ± 1.3114 × 10–6; TGFβ: 0.00560 ± 0.00078; iNOS: 0.00141 ± 0.00034. Gene expressions of experimental groups are expressed as % naïve expression. In mice without experimental TBI there was no difference in gene expressions between treatment groups (e.g., IL1β: 87 ± 10 and 90 ± 5, % naïve expression for Ctrl-0 and ND-0, respectively). Within the first 24 h after TBI, gene expressions increased in all groups. Though, posttraumatic expressions of IL1β, IL6, TGFβ and iNOS did not differ between treatment groups. Posttraumatic increase of TNFα expression, however, was different. At 4 h after TBI TNFα expression (9969 ± 3211% naïve) was significantly higher in Ctrl than in ND (5771 ± 2024% naïve, p < 0.05; Fig. 2e). However, at 24 h after TBI TNFα expressions were similar in both treatment groups (Ctrl: 5151 ± 783 and ND: 4096 ± 748% naïve, Fig. 2e).
Neutrophil granulocyte depletion did not affect neurological outcome
Neurological outcome was assessed before and 24 h after TBI by rotarod performance test. One day after TBI there was a marked neurological impairment in both groups (from 89 ± 15 and 78 ± 12 s before TBI to 38 ± 14 and 38 ± 8 s at 24 h after TBI, for Ctrl and ND, respectively, p < 0.001). However, neutrophil depletion did not alter neurological outcome compared to control group (Fig. 2f).
Study B: effect of Lymphopenia in RAG1 deficient mice
Lesion volume in RAG1−/− mice was reduced 1 and 5 days after TBI compared to RAG1+/+
Lesion volume was assessed in RAG1−/− mice and their RAG1+/+ (wild type) litter mates in Nissl-stained sections (Fig. 3a, b). In RAG1−/− mice 24 h after TBI lesion volume was reduced (27.1 ± 4.1 mm3; 16.1 ± 2.4%-clh) by 17% compared to RAG1+/+ (32.4 ± 5.6 mm3; 19.4 ± 2.8%-clh; p < 0.05; Fig. 3a). Similarly, 5 days after TBI compared to RAG1+/+ (13.9 ± 1.0 mm3; 9.1 ± 0.7%-clh) lesion volume was reduced by 16% in RAG1−/− (11.8 ± 1.2 mm3; 7.6 ± 0.7%-clh; p < 0.05; Fig. 3b).
Neurological impairment was not affected by RAG1 deficiency
Neurological Severity Score (after Tsenter26), assessed one day before and 1 and 5 days after CCI was not affected in RAG1+/+ compared to RAG1−/− mice (before TBI: 0 ± 1 and 0 ± 1, 1 day after TBI: 5 ± 2* and 4 ± 2* and 5 days after TBI: 2 ± 2# and 2 ± 1#, for RAG1+/+ and RAG1−/−, respectively, *p < 0.05 vs. before TBI and #p < 0.05 vs. 1 day after TBI).
Study C: effect of Neutrophil granulocyte depletion combined with AT1 inhibition
AT1 inhibition had no effect on neutrophil blood cell count
To analyze an independent effect of candesartan treatment on neutrophil blood cell count we compared all treatment groups by two-way-ANOVA. While a sustained neutrophil depletion was achieved by anti-Ly6G (p < 0.001; Fig. 4a), AT1 inhibition did not affect neutrophil granulocyte count (Fig. 4a).
AT1 inhibition reduced lesion volume in control antibody treated mice, while it had no effect in neutrophil granulocyte depleted mice
Lesion volume was assessed 72 h after CCI in Nissl-stained sections (Fig. 4b). In candesartan and control antibody treated mice lesion volume (23.9 ± 3.3 mm3, i.e., 15.3 ± 1.8%-clh) was significantly reduced compared to vehicle and control antibody treated mice (lesion volume: 27.5 ± 2.9 mm3, 18.5 ± 1.6%-clh; p < 0.05; Fig. 4b). In anti-Ly6G treated mice, however, AT1 inhibition had no effect on lesion volume (ND-Veh: 25.8 ± 4.6 mm3, 16.4 ± 3.0%-clh compared to ND-Cand: 24.1 ± 2.4 mm3, 15.7 ± 2.2%-clh; Fig. 4b).
AT1 inhibition reduced cerebral inflammation in control antibody treated mice, while it had no effect in neutrophil granulocyte depleted mice
We quantified the number of perilesional Iba-1-positive cells as a marker for microglia activation 3 days after TBI (Fig. 4c) at bregma − 1.28 mm in cortical perilesional tissue in a ROI (0.52 × 0.65 mm2) adjacent to the injury (Fig. 4c). Results are expressed as number of Iba-1-positive cells/mm2. Compared to naïve (n = 80 ± 15/mm2), 72 h after TBI, there was a significant increase of Iba-1-positive cells in all groups (p < 0.001). In vehicle treated mice, the number of Iba-1-positive cells was reduced after administration of anti-Ly6G (ND-Veh: n = 275 ± 25/mm2), compared to Ctrl-Veh (n = 299 ± 21/mm2; p < 0.05; Fig. 4c). In control antibody and candesartan treated mice (Ctrl-Cand) number of Iba-1-positive cells was reduced (n = 262 ± 23/mm2) compared to Ctrl-Veh (p < 0.001; Fig. 4c). However, in neutrophil depleted mice AT1 inhibition had no effect on Iba-1-positive cells (ND-Cand: 277 ± 23/mm2).
Three days after TBI normalized gene expressions were assessed by qPCR, expressed as % normalized naïve expressions (IL1β: 0.00197 ± 0.00044, IL6: 0.06063 ± 0.01640, TNFα: 2.3488 ± 1.3114 × 10–6, TGFβ: 0.00560 ± 0.00078, iNOS: 0.00141 ± 0.00034 mRNA/PPIA). Expression of IL6 was reduced by candesartan treatment in control antibody treated mice (p < 0.05; Fig. 4d), whereas neutrophil depletion did not affect IL6 expression (Fig. 4d). Gene expressions of iNOS, IL1β and TNFα were not affected by any treatment (Fig. 4e, f). TGFβ was elevated in Cand-mice by anti-Ly6G-treatment (Fig. 4g).
Neutrophil depletion and AT1 inhibition had no effect on neurological outcome
Neurological assessment was performed 1 day before, and 24 and 72 h after TBI using a mNSS and time spent staying on the rotarod. Compared to pre-trauma values, CCI induced a significant impairment in all experimental groups 24 h after TBI in mNSS (p < 0.001). Time spent on the rotarod and mNSS improved over time 3 days after TBI without differences between the treatment groups.
Study D: effect of RAG1 deficiency and AT1 inhibition
AT1 inhibition reduced lesion volume in RAG1-deficient mice
Three days after TBI in RAG1−/− mice lesion volume was reduced by AT1 inhibition from 31.5 ± 4.9 mm3 (vehicle; 20.3 ± 2.7%-clh) to 26.8 ± 4.1 mm3 (candesartan; 17.0 ± 2.2%-clh; p < 0.05; Fig. 5a).
AT1 inhibition reduced cerebral inflammation in RAG1-deficient mice
Three days after TBI, AT1 inhibition reduced the number of Iba-1-positive cells in the cortical region of interest (0.52 × 0.65 mm2) adjacent to the lesion, from 295 ± 27 (n/mm2, vehicle treatment) to 259 ± 22 (n/mm2, candesartan treated mice; p < 0.05; Fig. 5b). Additionally, normalized gene expressions were assessed by qPCR, expressed as % naïve expression (IL1β: 0.00193 ± 0.00046, IL6: 0.06207 ± 0.01296, TNFα: 1.9017 ± 0.5769 × 10–6, TGFβ: 0.00534 ± 0.00073, iNOS: 0.00192 ± 0.00045 mRNA/PPIA). Expression of TGFβ was higher in candesartan treated compared to vehicle treated RAG1−/− mice (Fig. 5c). However, at this time point gene expressions of inflammatory cytokines (IL1β, IL6, TNFα) and iNOS were not affected significantly by AT1 inhibition.
AT1 inhibition did not affect neurological outcome in RAG1-deficient mice
Neurological outcome was assessed by mNSS and rotarod at day 1 and 3 after TBI. There was a significant increase of neurological impairment (p < 0.001). However neurological deficit was not affected by candesartan treatment (Fig. 5d).
Discussion
To investigate the yet unexplained role of cellular immune response in the context of AT1 inhibition following TBI, we examined the impact of candesartan treatment in both neutrophil-depleted and lymphopenic RAG1−/− mice. The current findings indicate that both neutropenia and lymphopenia independently contributed to a reduction in brain damage following TBI. AT1 inhibition after TBI resulted in a decrease in brain damage and neuroinflammation in Ctrl mice with normal neutrophil counts, as well as in lymphopenic RAG1−/− mice. However, in neutrophil-depleted mice, AT1 inhibition had no effect on brain damage or neuroinflammation. Hence, the current findings indicate that the neuroprotective effects of AT1 inhibition are partially mediated by neutrophils.
The experiments were conducted using our established CCI model4,6,8,32,36,38,39. We maintained standardized perioperative setting and conditions, to ensure stable physiological values6.
To deplete neutrophils, we employed a specific antibody against Ly6G, which selectively targets neutrophils while leaving other cell types unaffected40,41,42. Numerous dosage concepts exist for administering anti-Ly6G (4–40 µg/g). We based our dosage decision (app. 20 µ/g) on murine studies that used anti-Ly6G to achieve sustained neutrophil depletion41,43,44. To ensure a significant reduction of neutrophils, that was monitored using the WBC count, we conducted preliminary pilot dosage finding studies. We found that the present dosage (500 µg anti-Ly6G), and the application interval (24 h before and after CCI) were effective in sustainingly reducing neutrophils in the WBC count for the entire 3-day observation period after TBI41,43,45. Furthermore, this dosage did not affect other blood cell populations, animal survival, or body weight. In contrast, the widely used less specific anti-Gr1 (clone RB6-8C5) not only reduces Ly6G-specific cells (neutrophils, Gr1+/Ly6G+), but also other lines of WBC with Ly6-receptors (dendritic cells and subpopulations of monocytes and CD8 T-lymphocytes)40,46.
To examine the effects of lymphopenia in TBI, we employed RAG1 deficient mice47,48. While RAG1 plays a key role in VDJ-recombination and B and T cell differentiation, RAG1 deficient mice have small lymphatic organs without mature B and T lymphocytes47,48,49,50. Their lymphocyte differentiation is blocked at an immature stage49. In the present study, RAG1−/− showed to have lymphopenia. Although, certain cell lines, such as NK cells, may be present in RAG1−/−51, the lymphocytes detected in the WBC count of RAG1−/− mice are likely immature lymphocytes49.
The selected observation periods for each study were based on the optimal timing for the maximum infiltration of the two immune cell types into the brain tissue. Neutrophils, the dominant blood cell population 24 h after TBI52,53, infiltrate early, with parenchymal infiltration peaking at 1 day after TBI18,19. From the third day on after TBI, lymphocytes invade into cerebral tissue6,18. To enhance the comparability of the impact of candesartan between the neutropenic and lymphopenic mice, we opted to utilize an observation period of 72 h following TBI in studies C and D, respectively18.
To ensure timely accurate hematologic analyses and interpretation and to minimize pre-analytic errors a mouse-species-appropriate practical hematologic instrumentation was performed with consistent collection method from the retroorbital sinus and a validated automated veterinary analyzer according to our standardized protocol54,55. The quality showed to be adequate and results are consistent with recent data54. Neutrophil depletion with anti-Ly6G may not completely eliminate circulating neutrophils that lack Ly6G expression on their surface, as previously noted by Boivin et al.56. However, our flow cytometry analysis was performed independently of Ly6G, as we used the ADVIA 2120i Hematology system for differential blood cell count29. This is a well-standardized flow cytometry-based system that distinguishes and counts WBC through two methods: peroxidase, detecting MPO-positive cells, and lobularity/nuclear density, classifying cells by size, lobularity, and nuclear density. Both methods allow for accurate identification and quantification of WBC populations, including neutrophils. Therefore, we believe that the presented neutropenia by anti-Ly6G treatment is accurate.
In the present study, we observed a transient leukopenia as part of the inflammatory reaction following TBI, which we attribute to trauma-associated neutrophil sequestration57. In Ctrl treated mice WBC count normalized one day after TBI. Anti-Ly6G treatment resulted in a sustained reduction of WBC count in mice after TBI, lasting up to 3 days (within physiological range)54. Neutrophils, the most common granulocytes, generally comprise 20–30% of WBC count in naïve wild type mice (70–80% are lymphocytes)54. In Ctrl mice, TBI caused a shift from lymphocyte-dominated WBC to a sustained and significant increase in neutrophil count52,53. ND mice experienced neutropenia and leukopenia in comparison to naïve mice, with an increase in lymphocyte count from 24 h post-TBI onwards. RAG1−/− mice appeared to be leukopenic, and lymphopenia was compensated by elevated neutrophils. AT1 inhibition had no effect on posttraumatic blood cell count in wild type, neutropenic and RAG1−/− mice.
In the present study the selective AT1 blocker candesartan was chosen, that crosses the BBB16. Consistent with prior research4,8,12,17, a low dose of candesartan (0.1 mg/kg) was administered to avoid any negative impact on blood pressure, which can exacerbate TBI outcomes58,59. To achieve sustained AT1 inhibition, treatment was started 30 min after TBI and then repeated daily8.
The peritraumatic body weight, a surrogate parameter of well-being and intake of food and water, was not affected by any treatment. The behavioral and neuromotor functions are impaired in this acute phase but show quick recovery in all groups. However, we did not detect any significant treatment effects on neurologic outcome using the NSS which was originally developed by Tsenter et al.26 as a non-parametric assessment that focuses on motor function and behavior. Therefore, we tried to implement a more sensitive parameter for neurofunctional outcome, the Rotarod test, in subsequent studies. In studies C and D, we chose to combine the modified NSS (mNSS, adapted from Tsenter et al. 20084,26) with the Rotarod test in an attempt to detect any treatment effects on both motor function and behavior. Unfortunately, despite our efforts, we were not able to demonstrate any significant treatment effects on neurofunctional outcome. The current neurological assessments may lack sensitivity to detect the effects under investigation, or the protective effects on brain tissue may not have been significant enough to improve neurological deficits.
During the first days after TBI, microglia/macrophages show high phagocytic activity to remove necrotic and apoptotic cells, whereas astrocytes start to form a scar-like barrier around the brain lesion60. This leads to a contraction of the lesion-surrounding tissue and decrease of lesion volume assessed with Nissl staining. This can be observed in the present study considering different lesion sizes at different post-TBI time points, with cavitation processes beginning later than 5 days after CCI in our model (for example, at 7 days after CCI)27.
Consistent with recent research, our study demonstrated that neutrophil depletion decreased lesion size at 24 h, and neuroinflammation, following TBI61. However, neutrophil depletion did not affect lesion size at 72 h post-CCI in our study. In contrast, a recent study demonstrated sustained reduction of brain damage up to 14 days after CCI by using a less specific Gr1-antibody to achieve neutrophil depletion61. We hypothesize that neutrophils may affect brain injury at a very early time point after injury, as supported by previous live-imaging observations in mice62, and our results on MPO mRNA expression. We examined the gene expression of MPO, which is widely recognized as a reliable neutrophil marker37,63,64. MPO mRNA expression was reduced in the injured brain tissue of ND (compared to Ctrl) mice at 4 h after TBI, that is 28 h after application of anti-Ly6G. However, at later time points (24 h after CCI, 48 h after anti-Ly6G application), MPO mRNA expression increased in ND mice to the level of Ctrl mice. Thus, a reduction was not detectable concerning neutrophil brain tissue infiltration, despite reduced neutrophils in the WBC count of ND mice. In the present study anti-Ly6G was applied 24 h before CCI, and in Study C also at 24 h after CCI. Based on our findings that MPO expression was not different between ND and Ctrl mice at 48 h after the application of anti-Ly6G, we believe that brain tissue neutrophil infiltration is only reduced by anti-Ly6G in the first 24 h after the application, and therefore, at later time points there is no effect of antibody-mediated neutrophil depletion on parenchymal neutrophil infiltration. This is supported by recent reports that indicate that antibodies against neutrophil Ly6G do not inhibit neutrophil recruitment42. Our findings suggest that reduced neutrophil infiltration into damaged brain tissue within the first few hours after TBI (rather than after 24 h) results in beneficial effects, including reduced TNFα expression at 4 h, reduced structural brain damage at 24 h, and decreased microglial activation at 72 h post CCI.
While T cells are known to play diverse roles in adaptive immune responses and inflammation regulation, their specific role in TBI pathogenesis remains unclear65. Recent findings suggest that cerebral infiltration of T cells exacerbates neuroinflammation without affecting lesion volume after TBI66,67. A previous study on closed-head injury found no significant differences in pathological or neurological parameters between wild-type and RAG1−/− mice up to 7 days post-injury47. The authors concluded that adaptive immunity is not crucial for initiating and sustaining inflammatory neuropathology after closed-head injury47. Another TBI study by Fee et al. showed that CD4+ T lymphocytes contribute to the severity of the acute phase of TBI and that brain injury is attenuated in RAG1−/− mice compared to wild-type animals48. Consistent with these findings, RAG1 deficiency in the present study led to reduced brain damage at 1 and 5 days post-TBI. However, at 24 h post-TBI, compared to wild type, neutrophil depletion was found to be more effective in reducing lesion volume (33%) than lymphopenia (17%). Despite this, the reduction of lesion volume by lymphopenia was found to be more sustained (up to 5 days post-TBI) than that of neutropenia (only 24 h after TBI). The acute post-traumatic cerebral infiltration of neutrophils is more pronounced than that of lymphocytes18. Hence, it is conceivable that reducing neutrophil infiltration may have a more potent anti-inflammatory effect in the initial 24 h post-TBI than reducing lymphocyte infiltration, possibly explaining why brain damage and inflammation are consistently reduced in studies involving neutrophil depletion61, while results are inconsistent in studies involving RAG1 deficiency47,48.
Emerging evidence indicates that the entire cellular immune response is modulated by the RAS68,69. AngII is a major mediator of cerebral inflammation and oxidative stress through AT17,70. AT1 is widely expressed in the mature central nervous system, primarily in neurons, endothelial and smooth muscle cells, astrocytes, and microglia, which are important regulators of neuroinflammation9,71. AT1 is also expressed on migrating immune cells, like neutrophils, macrophages, and T-cells. AT1 activation triggers the production of chemokines, cytokines, and adhesion molecules, which promote the immigration of activated immune cells into the lesion site7,72,73,74,75. This process induces inflammation and generates high levels of ROS via NADPH oxidase activation. AT1 signaling modulates NADPH oxidase complex activity and promotes the transcription of pro-inflammatory cytokines through activation of NF-κB dependent transcription15,76. Subsequently, AT1 activation stimulates various kinases, which propagate inflammatory responses and apoptotic pathways17,77,78,79,80.
The present study demonstrated that repeated post-traumatic administration of candesartan in mice with normal post-traumatic neutrophil count led to reduced histological brain damage and decreased microglial activation at 3 days after TBI8,12. Candesartan treatment resulted in a 12% reduction in activated microglia/macrophages, while neutrophil depletion led to a 8% reduction, compared to vehicle and control antibody treatment. These findings are consistent with earlier studies where candesartan treatment reduced the number of neutrophils and microglia/macrophages 3 days after TBI4,17.
Recent studies have demonstrated that AT1 inhibition after TBI reduces cytokine expression7,8,81. The pleiotropic cytokine TNFα is implicated in BBB dysfunction and the transmigration of WBC into brain tissue. It induces neuronal loss via microglial activation2,82,83,84. After an early upregulation in the first 8 h after TBI83 TNFα decreases significantly in the following time85. This kinetic could explain that in the present study there is only a reduction of TNFα 4 h after TBI in ND mice. Cerebral IL1β expression increases in the first hour after TBI and reaches highest levels 12 and 24 h after experimental TBI86. Reduced activity of IL1β showed improved neurological outcomes and reduced infiltration of neutrophils83,87,88,89. The absence of an effect on IL1β expression in the present study following neutropenia, RAG1 deficiency, or AT1 inhibition may be attributed to low levels of cytokine mRNA at 3 days post CCI15. Numerous studies have reported upregulation of IL6 following TBI, which is associated with increased microglial activation and neurological impairment2,90. Recent clinical studies suggest a correlation between elevated serum levels of IL6, increased ICP, and severity of TBI91. IL6 has also been shown to regulate the migration of neutrophils during acute inflammation92. In this study, AT1 inhibition led to a reduction in IL6 expression three days after TBI in Ctrl mice. However, candesartan did not affect IL6 expression in neutropenic mice.
Limitations of the present study are the short duration of reduced neutrophil infiltration into brain tissue, only detected at 4 h after CCI, and not at later time-points, as well as the absence of observed effects on neurological outcome. The fact, that we were not able to demonstrate the direct effect of AT1 inhibition on neutrophil infiltration into the brain tissue is a further limitation. Another significant limitation of the current study is the exclusive focus on acute post-traumatic time points. Further investigation is needed to examine the long-term impact of AT1 inhibition on structural brain damage, chronic brain inflammation, and cognitive dysfunction.
In a recent study, the protective effect of post-traumatic AT1 inhibition in young adult and aged mice was attributed to a decrease in microglia activation and an increase in anti-inflammatory microglia polarization. One major finding of the study was a significant reduction in neutrophil infiltration4. AT1 is expressed on both circulating neutrophils and lymphocytes74,93. However, in the previous study, perilesional T-cell immigration was not affected by AT1 inhibition4. The neuroprotective mechanisms of AT1 inhibition in the acute phase after TBI may thus not depend on the adaptive lymphocyte response. A recent study showed that expression of CD62L on human neutrophils is modulated by AT1 receptors, on various pathways involving ERK1/2, MAPK, and calcineurin94, leading to reduced transmigration of neutrophils. It has been shown that AT1 inhibition leads to down regulation of important recruitment proteins like ICAM1 in endothelial cells, and CD11b/CD18 on WBC, and reduces post traumatic increase of BBB permeability. Consequently, AT1 inhibition leads to a significant reduction in the infiltration of immune cells95,96,97,98. A recent murine cerebral transcriptomic analysis after TBI showed strong alterations of gene transcription, particularly of the innate immune response, by candesartan treatment99. Therefore, AT1 inhibition may have a direct and modulating anti-inflammatory effect on invading neutrophils and resident activated microglia17. AT1 inhibition appears to provide neuroprotection by reducing the inflammatory response of the innate immune system, as evidenced by reduced microglial activation and decreased infiltration of neutrophils. This suggests that the protective effect of AT1 inhibition is mediated by its anti-inflammatory properties4.
Conclusion
The present study indicates that the reduction of immune cells in both the innate and adaptive immune system, specifically neutropenia (ND), and lymphopenia (RAG1−/−), independently leads to decreased brain damage after TBI. Moreover, the study demonstrates that posttraumatic AT1 inhibition decreases brain damage and neuroinflammation in mice with normal neutrophil counts and in lymphopenic mice. However, in neutrophil-depleted mice, AT1 blockage had no effect on brain damage and neuroinflammation. We conclude that the neuroprotective effects of AT1 inhibition are independent of lymphocytes but dependent on neutrophils. Thus, reduced neutrophil invasion into the injured brain tissue may mediate neuroprotection by AT1 inhibition. In summary, the study highlights the importance of immune cells in mediating neuroinflammation after TBI and the potential of AT1 inhibition as a therapeutic strategy against exacerbated neuroinflammation following TBI.
Data availability
The datasets generated during and/or analyzed during the current study are available from the corresponding author on reasonable request.
Abbreviations
- AngII:
-
Angiotensin II
- AT1:
-
Angiotensin II receptor type 1
- Cand:
-
Candesartan treated mice
- CCI:
-
Controlled cortical impact
- %-clh:
-
Percentage of contralateral hemisphere
- Ctrl:
-
Control antibody treated mice (IgG2a)
- ICP:
-
Intracranial pressure
- IL1β:
-
Interleukin 1β
- IL6:
-
Interleukin 6
- iNOS:
-
Inducible nitric oxide synthase
- MPO:
-
Myeloperoxidase
- ND:
-
Neutrophil depleted mice (Ly6G-antibody)
- PPIA:
-
Cyclophilin A
- qPCR:
-
Quantitative polymerase chain reaction
- RAG1:
-
Recombination activating gene 1
- TBI:
-
Traumatic brain injury
- TGFβ:
-
Transforming growth factor β
- TNFα:
-
Tumor necrosis factor α
- Veh:
-
Vehicle solution treated mice
- WBC:
-
White blood cells
References
Langlois, J. A., Rutland-Brown, W. & Wald, M. M. The epidemiology and impact of traumatic brain injury: A brief overview. J. Head Trauma Rehabil. 21, 375–378 (2006).
Morganti-Kossmann, M. C., Rancan, M., Otto, V. I., Stahel, P. F. & Kossmann, T. Role of cerebral inflammation after traumatic brain injury: A revisited concept. Shock 16, 165–177 (2001).
Kelso, M. L. & Gendelman, H. E. Bridge between neuroimmunity and traumatic brain injury. Curr. Pharm. Des. 20, 4284–4298 (2014).
Timaru-Kast, R. et al. Angiotensin II receptor 1 blockage limits brain damage and improves functional outcome after brain injury in aged animals despite age-dependent reduction in AT1 expression. Front. Aging Neurosci. 11, 63. https://doi.org/10.3389/fnagi.2019.00063 (2019).
Smith, C. et al. The neuroinflammatory response in humans after traumatic brain injury. Neuropathol. Appl. Neurobiol. 39, 654–666. https://doi.org/10.1111/nan.12008 (2013).
Timaru-Kast, R. et al. Influence of age on brain edema formation, secondary brain damage and inflammatory response after brain trauma in mice. PLoS ONE 7, e43829. https://doi.org/10.1371/journal.pone.0043829 (2012).
Villar-Cheda, B. et al. Aging-related dysregulation of dopamine and angiotensin receptor interaction. Neurobiol. Aging 35, 1726–1738. https://doi.org/10.1016/j.neurobiolaging.2014.01.017 (2014).
Timaru-Kast, R. et al. Delayed inhibition of angiotensin II receptor type 1 reduces secondary brain damage and improves functional recovery after experimental brain trauma*. Crit. Care Med. 40, 935–944. https://doi.org/10.1097/CCM.0b013e31822f08b9 (2012).
Saavedra, J. M. Brain angiotensin II: New developments, unanswered questions and therapeutic opportunities. Cell Mol. Neurobiol. 25, 485–512 (2005).
Saavedra, J. M. Angiotensin II AT(1) receptor blockers ameliorate inflammatory stress: A beneficial effect for the treatment of brain disorders. Cell. Mol. Neurobiol. 32, 667–681. https://doi.org/10.1007/s10571-011-9754-6 (2012).
Saavedra, J. M. et al. Brain angiotensin II, an important stress hormone: Regulatory sites and therapeutic opportunities. Ann. N. Y. Acad. Sci. 1018, 76–84 (2004).
Villapol, S. et al. Candesartan, an angiotensin II AT(1)-receptor blocker and PPAR-gamma agonist, reduces lesion volume and improves motor and memory function after traumatic brain injury in mice. Neuropsychopharmacology 37, 2817–2829. https://doi.org/10.1038/npp.2012.152 (2012).
Culman, J., Blume, A., Gohlke, P. & Unger, T. The renin-angiotensin system in the brain: Possible therapeutic implications for AT(1)-receptor blockers. J. Hum. Hypertens. 16(Suppl 3), S64–S70 (2002).
Rey, P. et al. Angiotensin type-1-receptor antagonists reduce 6-hydroxydopamine toxicity for dopaminergic neurons. Neurobiol. Aging 28, 555–567. https://doi.org/10.1016/j.neurobiolaging.2006.02.018 (2007).
Borrajo, A., Rodriguez-Perez, A. I., Villar-Cheda, B., Guerra, M. J. & Labandeira-Garcia, J. L. Inhibition of the microglial response is essential for the neuroprotective effects of Rho-kinase inhibitors on MPTP-induced dopaminergic cell death. Neuropharmacology 85, 1–8. https://doi.org/10.1016/j.neuropharm.2014.05.021 (2014).
Villapol, S. & Saavedra, J. M. Neuroprotective effects of angiotensin receptor blockers. Am. J. Hypertens. 28, 289–299. https://doi.org/10.1093/ajh/hpu197 (2015).
Villapol, S., Balarezo, M. G., Affram, K., Saavedra, J. M. & Symes, A. J. Neurorestoration after traumatic brain injury through angiotensin II receptor blockage. Brain J. Neurol. https://doi.org/10.1093/brain/awv172 (2015).
Jin, X., Ishii, H., Bai, Z., Itokazu, T. & Yamashita, T. Temporal changes in cell marker expression and cellular infiltration in a controlled cortical impact model in adult male C57BL/6 mice. PLoS ONE 7, e41892. https://doi.org/10.1371/journal.pone.0041892 (2012).
Royo, N. C., Wahl, F. & Stutzmann, J. M. Kinetics of polymorphonuclear neutrophil infiltration after a traumatic brain injury in rat. NeuroReport 10, 1363–1367. https://doi.org/10.1097/00001756-199904260-00038 (1999).
Thal, S. C. & Plesnila, N. Non-invasive intraoperative monitoring of blood pressure and arterial pCO(2) during surgical anesthesia in mice. J. Neurosci. Methods 159, 261–267 (2007).
Thal, S. C. et al. Pioglitazone reduces secondary brain damage after experimental brain trauma by PPAR-gamma-independent mechanisms. J. Neurotrauma 28, 983–993 (2011).
Deacon, R. M. Measuring motor coordination in mice. J. Vis. Exp. 2013, e2609. https://doi.org/10.3791/2609 (2013).
Hamm, R. J. Neurobehavioral assessment of outcome following traumatic brain injury in rats: An evaluation of selected measures. J. Neurotrauma 18, 1207–1216. https://doi.org/10.1089/089771501317095241 (2001).
Pottker, B. et al. Traumatic brain injury causes long-term behavioral changes related to region-specific increases of cerebral blood flow. Brain Struct. Funct. 222, 4005–4021. https://doi.org/10.1007/s00429-017-1452-9 (2017).
Sebastiani, A. et al. Proneurotrophin binding to P75 neurotrophin receptor (P75ntr) is essential for brain lesion formation and functional impairment after experimental traumatic brain injury. J. Neurotrauma 32, 1599–1607. https://doi.org/10.1089/neu.2014.3751 (2015).
Tsenter, J. et al. Dynamic changes in the recovery after traumatic brain injury in mice: Effect of injury severity on T2-weighted MRI abnormalities, and motor and cognitive functions. J. Neurotrauma 25, 324–333 (2008).
Huang, C. et al. Lack of NG2 exacerbates neurological outcome and modulates glial responses after traumatic brain injury. Glia 64, 507–523. https://doi.org/10.1002/glia.22944 (2016).
Sharma, A. et al. Safety and blood sample volume and quality of a refined retro-orbital bleeding technique in rats using a lateral approach. Lab. Anim. (N. Y.) 43, 63–66. https://doi.org/10.1038/laban.432 (2014).
Harris, N., Kunicka, J. & Kratz, A. The ADVIA 2120 hematology system: Flow cytometry-based analysis of blood and body fluids in the routine hematology laboratory. Lab. Hematol. 11, 47–61. https://doi.org/10.1532/LH96.04075 (2005).
Donat, C. K., Scott, G., Gentleman, S. M. & Sastre, M. Microglial activation in traumatic brain injury. Front. Aging Neurosci. 9, 208. https://doi.org/10.3389/fnagi.2017.00208 (2017).
Luh, C. et al. Inhibition of myosin light chain kinase reduces brain edema formation after traumatic brain injury. J. Neurochem. 112, 1015–1025. https://doi.org/10.1111/j.1471-4159.2009.06514.x (2010).
Timaru-Kast, R., Herbig, E. L., Luh, C., Engelhard, K. & Thal, S. C. Influence of age on cerebral housekeeping gene expression for normalization of quantitative PCR after acute brain injury in mice. J. Neurotrauma https://doi.org/10.1089/neu.2014.3784 (2015).
Thal, S. C., Wyschkon, S., Pieter, D., Engelhard, K. & Werner, C. Selection of endogenous control genes for normalization of gene expression analysis after experimental brain trauma in mice. J. Neurotrauma 25, 785–794 (2008).
Garcia-Bardon, A. & Thal, S. C. Normalization with corresponding naive tissue minimizes bias caused by commercial reverse transcription kits on quantitative real-time PCR results. PLoS ONE 11, e0167209. https://doi.org/10.1371/journal.pone.0167209 (2016).
Faul, F., Erdfelder, E., Buchner, A. & Lang, A. G. Statistical power analyses using G*Power 3.1: Tests for correlation and regression analyses. Behav. Res. Methods 41, 1149–1160. https://doi.org/10.3758/BRM.41.4.1149 (2009).
Timaru-Kast, R. et al. AT2 activation does not influence brain damage in the early phase after experimental traumatic brain injury in male mice. Sci. Rep. 12, 14280. https://doi.org/10.1038/s41598-022-18338-x (2022).
Aratani, Y. Myeloperoxidase: Its role for host defense, inflammation, and neutrophil function. Arch. Biochem. Biophys. 640, 47–52. https://doi.org/10.1016/j.abb.2018.01.004 (2018).
Thal, S. C. et al. Inhibition of proteasomal glucocorticoid receptor degradation restores dexamethasone-mediated stabilization of the blood-brain barrier after traumatic brain injury. Crit. Care Med. 41, 1305–1315. https://doi.org/10.1097/CCM.0b013e31827ca494 (2013).
Sebastiani, A. et al. Posttraumatic propofol neurotoxicity is mediated via the pro-brain-derived neurotrophic factor-p75 Neurotrophin receptor pathway in adult mice. Crit. Care Med. 44, e70-82. https://doi.org/10.1097/CCM.0000000000001284 (2016).
Daley, J. M., Thomay, A. A., Connolly, M. D., Reichner, J. S. & Albina, J. E. Use of Ly6G-specific monoclonal antibody to deplete neutrophils in mice. J. Leukoc. Biol. 83, 64–70. https://doi.org/10.1189/jlb.0407247 (2008).
Carr, K. D. et al. Specific depletion reveals a novel role for neutrophil-mediated protection in the liver during Listeria monocytogenes infection. Eur. J. Immunol. 41, 2666–2676. https://doi.org/10.1002/eji.201041363 (2011).
Yipp, B. G. & Kubes, P. Antibodies against neutrophil LY6G do not inhibit leukocyte recruitment in mice in vivo. Blood 121, 241–242. https://doi.org/10.1182/blood-2012-09-454348 (2013).
Ocuin, L. M. et al. Neutrophil IL-10 suppresses peritoneal inflammatory monocytes during polymicrobial sepsis. J. Leukoc. Biol. 89, 423–432. https://doi.org/10.1189/jlb.0810479 (2011).
Neulen, A. et al. Neutrophils mediate early cerebral cortical hypoperfusion in a murine model of subarachnoid haemorrhage. Sci. Rep. 9, 8460. https://doi.org/10.1038/s41598-019-44906-9 (2019).
Bamboat, Z. M. et al. Conventional DCs reduce liver ischemia/reperfusion injury in mice via IL-10 secretion. J. Clin. Investig. 120, 559–569. https://doi.org/10.1172/JCI40008 (2010).
Wojtasiak, M. et al. Depletion of Gr-1+, but not Ly6G+, immune cells exacerbates virus replication and disease in an intranasal model of herpes simplex virus type 1 infection. J. Gen. Virol. 91, 2158–2166. https://doi.org/10.1099/vir.0.021915-0 (2010).
Weckbach, S. et al. Challenging the role of adaptive immunity in neurotrauma: Rag1(-/-) mice lacking mature B and T cells do not show neuroprotection after closed head injury. J. Neurotrauma 29, 1233–1242. https://doi.org/10.1089/neu.2011.2169 (2012).
Fee, D. et al. Activated/effector CD4+ T cells exacerbate acute damage in the central nervous system following traumatic injury. J. Neuroimmunol. 136, 54–66. https://doi.org/10.1016/s0165-5728(03)00008-0 (2003).
Mombaerts, P. et al. RAG-1-deficient mice have no mature B and T lymphocytes. Cell 68, 869–877. https://doi.org/10.1016/0092-8674(92)90030-g (1992).
Mombaerts, P. Lymphocyte development and function in T-cell receptor and RAG-1 mutant mice. Int. Rev. Immunol. 13, 43–63. https://doi.org/10.3109/08830189509061737 (1995).
Rolfes, L. et al. Natural killer cells are present in Rag1(-/-) mice and promote tissue damage during the acute phase of ischemic stroke. Transl. Stroke Res. 13, 197–211. https://doi.org/10.1007/s12975-021-00923-3 (2022).
Simon, D. W. et al. The far-reaching scope of neuroinflammation after traumatic brain injury. Nat. Rev. Neurol. 13, 171–191. https://doi.org/10.1038/nrneurol.2017.13 (2017).
Liao, Y., Liu, P., Guo, F., Zhang, Z. Y. & Zhang, Z. Oxidative burst of circulating neutrophils following traumatic brain injury in human. PLoS ONE 8, e68963. https://doi.org/10.1371/journal.pone.0068963 (2013).
O’Connell, K. E. et al. Practical murine hematopathology: A comparative review and implications for research. Comp. Med. 65, 96–113 (2015).
Nemzek, J. A., Bolgos, G. L., Williams, B. A. & Remick, D. G. Differences in normal values for murine white blood cell counts and other hematological parameters based on sampling site. Inflamm. Res. 50, 523–527. https://doi.org/10.1007/PL00000229 (2001).
Boivin, G. et al. Durable and controlled depletion of neutrophils in mice. Nat. Commun. 11, 2762. https://doi.org/10.1038/s41467-020-16596-9 (2020).
Botha, A. J. et al. Early neutrophil sequestration after injury: A pathogenic mechanism for multiple organ failure. J. Trauma 39, 411–417. https://doi.org/10.1097/00005373-199509000-00003 (1995).
Andriessen, T. M., Jacobs, B. & Vos, P. E. Clinical characteristics and pathophysiological mechanisms of focal and diffuse traumatic brain injury. J. Cell Mol. Med. 14, 2381–2392. https://doi.org/10.1111/j.1582-4934.2010.01164.x (2010).
Hajjar, I. et al. Effects of candesartan vs lisinopril on neurocognitive function in older adults with executive mild cognitive impairment: A randomized clinical trial. JAMA Netw. Open 3, e2012252. https://doi.org/10.1001/jamanetworkopen.2020.12252 (2020).
Karve, I. P., Taylor, J. M. & Crack, P. J. The contribution of astrocytes and microglia to traumatic brain injury. Br. J. Pharmacol. 173, 692–702. https://doi.org/10.1111/bph.13125 (2016).
Kenne, E., Erlandsson, A., Lindbom, L., Hillered, L. & Clausen, F. Neutrophil depletion reduces edema formation and tissue loss following traumatic brain injury in mice. J. Neuroinflamm. 9, 17. https://doi.org/10.1186/1742-2094-9-17 (2012).
Roth, T. L. et al. Transcranial amelioration of inflammation and cell death after brain injury. Nature 505, 223–228. https://doi.org/10.1038/nature12808 (2014).
Gurski, C. J. & Dittel, B. N. Myeloperoxidase as a marker to differentiate mouse monocyte/macrophage subsets. Int. J. Mol. Sci. 23, 58. https://doi.org/10.3390/ijms23158246 (2022).
Strzepa, A., Pritchard, K. A. & Dittel, B. N. Myeloperoxidase: A new player in autoimmunity. Cell Immunol 317, 1–8. https://doi.org/10.1016/j.cellimm.2017.05.002 (2017).
Corps, K. N., Roth, T. L. & McGavern, D. B. Inflammation and neuroprotection in traumatic brain injury. JAMA Neurol. 72, 355–362. https://doi.org/10.1001/jamaneurol.2014.3558 (2015).
Kramer, T. J. et al. Correction to: Depletion of regulatory T cells increases T cell brain infiltration, reactive astrogliosis, and interferon-gamma gene expression in acute experimental traumatic brain injury. J. Neuroinflamm. 16, 176. https://doi.org/10.1186/s12974-019-1577-2 (2019).
Kramer, T. J. et al. Depletion of regulatory T cells increases T cell brain infiltration, reactive astrogliosis, and interferon-gamma gene expression in acute experimental traumatic brain injury. J. Neuroinflamm. 16, 163. https://doi.org/10.1186/s12974-019-1550-0 (2019).
Okamura, A. et al. Upregulation of renin-angiotensin system during differentiation of monocytes to macrophages. J. Hypertens. 17, 537–545 (1999).
Kossmann, S. et al. Angiotensin II-induced vascular dysfunction depends on interferon-gamma-driven immune cell recruitment and mutual activation of monocytes and NK-cells. Arterioscler. Thromb. Vasc. Biol. 33, 1313–1319. https://doi.org/10.1161/ATVBAHA.113.301437 (2013).
Ranjbar, R. et al. The potential therapeutic use of renin-angiotensin system inhibitors in the treatment of inflammatory diseases. J. Cell. Physiol. 234, 2277–2295. https://doi.org/10.1002/jcp.27205 (2019).
Febinger, H. Y. et al. Time-dependent effects of CX3CR1 in a mouse model of mild traumatic brain injury. J. Neuroinflamm. 12, 154. https://doi.org/10.1186/s12974-015-0386-5 (2015).
Suzuki, Y. et al. Inflammation and angiotensin II. Int. J. Biochem. Cell Biol. 35, 881–900 (2003).
Toth, A. D., Turu, G., Hunyady, L. & Balla, A. Novel mechanisms of G-protein-coupled receptors functions: AT1 angiotensin receptor acts as a signaling hub and focal point of receptor cross-talk. Best Pract. Res. Clin. Endocrinol. Metab. 32, 69–82. https://doi.org/10.1016/j.beem.2018.02.003 (2018).
Ito, H., Takemori, K. & Suzuki, T. Role of angiotensin II type 1 receptor in the leucocytes and endothelial cells of brain microvessels in the pathogenesis of hypertensive cerebral injury. J. Hypertens. 19, 591–597 (2001).
Guzik, T. J. et al. Role of the T cell in the genesis of angiotensin II induced hypertension and vascular dysfunction. J. Exp. Med. 204, 2449–2460. https://doi.org/10.1084/jem.20070657 (2007).
Rodriguez-Perez, A. I., Borrajo, A., Rodriguez-Pallares, J., Guerra, M. J. & Labandeira-Garcia, J. L. Interaction between NADPH-oxidase and Rho-kinase in angiotensin II-induced microglial activation. Glia 63, 466–482. https://doi.org/10.1002/glia.22765 (2015).
Cherry, J. D., Olschowka, J. A. & O’Banion, M. K. Neuroinflammation and M2 microglia: The good, the bad, and the inflamed. J. Neuroinflamm. 11, 98. https://doi.org/10.1186/1742-2094-11-98 (2014).
Rodriguez-Perez, A. I., Dominguez-Meijide, A., Lanciego, J. L., Guerra, M. J. & Labandeira-Garcia, J. L. Dopaminergic degeneration is enhanced by chronic brain hypoperfusion and inhibited by angiotensin receptor blockage. Age (Dordr.) 35, 1675–1690. https://doi.org/10.1007/s11357-012-9470-2 (2013).
Labandeira-Garcia, J. L. et al. Dopamine-angiotensin interactions in the basal ganglia and their relevance for Parkinson’s disease. Movement Disord. 28, 1337–1342. https://doi.org/10.1002/mds.25614 (2013).
Villar-Cheda, B., Valenzuela, R., Rodriguez-Perez, A. I., Guerra, M. J. & Labandeira-Garcia, J. L. Aging-related changes in the nigral angiotensin system enhances proinflammatory and pro-oxidative markers and 6-OHDA-induced dopaminergic degeneration. Neurobiol. Aging 33(204), e201-211. https://doi.org/10.1016/j.neurobiolaging.2010.08.006 (2012).
Labandeira-Garcia, J. L. et al. Aging, Angiotensin system and dopaminergic degeneration in the substantia nigra. Aging Dis. 2, 257–274 (2011).
Neniskyte, U., Vilalta, A. & Brown, G. C. Tumour necrosis factor alpha-induced neuronal loss is mediated by microglial phagocytosis. FEBS Lett. 588, 2952–2956. https://doi.org/10.1016/j.febslet.2014.05.046 (2014).
Woodcock, T. & Morganti-Kossmann, M. C. The role of markers of inflammation in traumatic brain injury. Front. Neurol. 4, 18. https://doi.org/10.3389/fneur.2013.00018 (2013).
Scherbel, U. et al. Differential acute and chronic responses of tumor necrosis factor-deficient mice to experimental brain injury. Proc. Natl. Acad. Sci. U.S.A. 96, 8721–8726 (1999).
Borrajo, A., Rodriguez-Perez, A. I., Diaz-Ruiz, C., Guerra, M. J. & Labandeira-Garcia, J. L. Microglial TNF-alpha mediates enhancement of dopaminergic degeneration by brain angiotensin. Glia 62, 145–157. https://doi.org/10.1002/glia.22595 (2014).
Lu, K. T., Wang, Y. W., Yang, J. T., Yang, Y. L. & Chen, H. I. Effect of interleukin-1 on traumatic brain injury-induced damage to hippocampal neurons. J. Neurotrauma 22, 885–895. https://doi.org/10.1089/neu.2005.22.885 (2005).
Ozen, I. et al. Interleukin-1 beta neutralization attenuates traumatic brain injury-induced microglia activation and neuronal changes in the globus pallidus. Int. J. Mol. Sci. 21, 25. https://doi.org/10.3390/ijms21020387 (2020).
Clausen, F. et al. Neutralization of interleukin-1beta reduces cerebral edema and tissue loss and improves late cognitive outcome following traumatic brain injury in mice. Eur. J. Neurosci. 34, 110–123. https://doi.org/10.1111/j.1460-9568.2011.07723.x (2011).
Clausen, F. et al. Neutralization of interleukin-1beta modifies the inflammatory response and improves histological and cognitive outcome following traumatic brain injury in mice. Eur. J. Neurosci. 30, 385–396. https://doi.org/10.1111/j.1460-9568.2009.06820.x (2009).
Morganti-Kossmann, M. C., Rancan, M., Stahel, P. F. & Kossmann, T. Inflammatory response in acute traumatic brain injury: A double-edged sword. Curr. Opin. Crit. Care 8, 101–105 (2002).
Hergenroeder, G. W. et al. Serum IL-6: A candidate biomarker for intracranial pressure elevation following isolated traumatic brain injury. J. Neuroinflamm. 7, 19. https://doi.org/10.1186/1742-2094-7-19 (2010).
Fielding, C. A. et al. IL-6 regulates neutrophil trafficking during acute inflammation via STAT3. J. Immunol. 181, 2189–2195. https://doi.org/10.4049/jimmunol.181.3.2189 (2008).
Nataraj, C. et al. Angiotensin II regulates cellular immune responses through a calcineurin-dependent pathway. J. Clin. Investig. 104, 1693–1701. https://doi.org/10.1172/JCI7451 (1999).
Vega, A., El Bekay, R., Chacon, P., Ventura, I. & Monteseirin, J. Angiotensin II induces CD62L shedding in human neutrophils. Atherosclerosis 209, 344–351. https://doi.org/10.1016/j.atherosclerosis.2009.09.067 (2010).
Takemori, K., Ito, H. & Suzuki, T. Effects of the AT1 receptor antagonist on adhesion molecule expression in leukocytes and brain microvessels of stroke-prone spontaneously hypertensive rats. Am. J. Hypertens. 13, 1233–1241 (2000).
Li, Z. et al. Prophylactic angiotensin type 1 receptor antagonism confers neuroprotection in an aged rat model of postoperative cognitive dysfunction. Biochem. Biophys. Res. Commun. 449, 74–80. https://doi.org/10.1016/j.bbrc.2014.04.153 (2014).
Bregonzio, C. et al. Anti-inflammatory effects of angiotensin II AT1 receptor antagonism prevent stress-induced gastric injury. Am. J. Physiol. Gastrointest. Liver Physiol. 285, G414-423. https://doi.org/10.1152/ajpgi.00058.2003 (2003).
Suzuki, Y. et al. Susceptibility to T cell-mediated injury in immune complex disease is linked to local activation of renin-angiotensin system: The role of NF-AT pathway. J. Immunol. 169, 4136–4146. https://doi.org/10.4049/jimmunol.169.8.4136 (2002).
Attilio, P. J. et al. Transcriptomic analysis of mouse brain after traumatic brain injury reveals that the angiotensin receptor blocker candesartan acts through novel pathways. Front. Neurosci. 15, 636259. https://doi.org/10.3389/fnins.2021.636259 (2021).
Acknowledgements
The authors want to thank Prof. Dr. Karl J. Lackner, Dr. Davit Manukyan and all the experimental coworkers of the Institute of Clinical Chemistry and Laboratory Medicine of the University Medical Center of Johannes Gutenberg-University Mainz for providing the hematological data. We also want to thank Dana Pieter and Tobias Hirnet for their excellent technical assistance. Some of the data in this article are from the doctoral thesis of Shila P. Coronel Castello and the professorial dissertation (Habilitation) of Ralph Timaru-Kast, both presented to the Medical Faculty of the Johannes Gutenberg University, Mainz, Germany.
Funding
Open Access funding enabled and organized by Projekt DEAL. The study was supported by a grant from the University Medical Center of the Johannes Gutenberg University, Mainz, Germany (Stufe 1).
Author information
Authors and Affiliations
Contributions
R.T.K. wrote the manuscript, he is the corresponding author. He was the major contributor to study conceptions and acquisition of departmental funding. He planned and designed the studies, performed, and supervised the experiments, analyzed, and interpreted the data regarding the hematological, histological, molecular biological and neurological assessments. S.P.C.C. made substantial contributions in planning and designing the studies, performed the histological and molecular biological examination of the brains, she helped with hematological examinations and prepared the blood cell count. She was a major contributor in writing the manuscript. T.J.K. performed experiments, blood withdrawals and histological examinations, he made substantial contributions in data acquisitions. A.V.H. performed experiments and histological examinations, made substantial contributions in data acquisitions. M.K.E.S. made substantial contributions in data analysis and interpretation regarding molecular biology. A.S. contributed substantially to data acquisition of histology and molecular biology. S.C.T. was a major contributor in study conception, data interpretation, and writing the manuscript. All authors reviewed and approved the final manuscript.
Corresponding author
Ethics declarations
Competing interests
The authors declare no competing interests.
Additional information
Publisher's note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
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/.
About this article
Cite this article
Timaru-Kast, R., Coronel-Castello, S.P., Krämer, T.J. et al. AT 1 inhibition mediated neuroprotection after experimental traumatic brain injury is dependent on neutrophils in male mice. Sci Rep 13, 7413 (2023). https://doi.org/10.1038/s41598-023-33797-6
Received:
Accepted:
Published:
DOI: https://doi.org/10.1038/s41598-023-33797-6
- Springer Nature Limited