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PLD3 in Alzheimer’s Disease: a Modest Effect as Revealed by Updated Association and Expression Analyses

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Abstract

Alzheimer’s disease (AD) is the most common form of dementia. Numerous genome-wide association studies (GWASs) have found several AD susceptibility common loci but with limited effect size. Recent next-generation sequencing studies of large AD pedigrees had identified phospholipase D3 (PLD3) p.V232M as the potentially functional rare variant with causal effect. However, four follow-up replication studies (Brief Communications Arising on Nature) questioned that PLD3 V232M might not be so important in AD. In this study, we re-analyzed all public-available genetic (rare and common variants) and expression data of PLD3, and screened coding variants within PLD3 in probands of 18 Han Chinese families with AD, to clarify the exact involvement of PLD3 in AD. Two closest homologues of PLD3, PLD1 and PLD2, were also analyzed to comprehensively understand the role of phospholipase D members in AD. We found that PLD3 variant V232M was associated with AD risk in overall sample sets (∼40,000 subjects) with a modest to moderate effect size (odds ratio [OR] = 1.53). Our results also showed that common variants and mRNA expression alterations of PLD2 play a role in AD genetic risk and pathology. Although we provided a systematic view of the involvement of PLD3 in AD at the genetic, mRNA expression, and protein levels, we could not define the exact causal or essential role of PLD3 rare variants in AD based on currently available data.

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References

  1. Querfurth HW, LaFerla FM (2010) Alzheimer’s disease. N Engl J Med 362(4):329–344

    Article  CAS  PubMed  Google Scholar 

  2. Bertram L, Tanzi RE (2008) Thirty years of Alzheimer’s disease genetics: the implications of systematic meta-analyses. Nat Rev Neurosci 9(10):768–778

    Article  CAS  PubMed  Google Scholar 

  3. Wilson RS, Barral S, Lee JH, Leurgans SE, Foroud TM, Sweet RA, Graff-Radford N, Bird TD, Mayeux R, Bennett DA (2011) Heritability of different forms of memory in the Late Onset Alzheimer’s Disease Family Study. J Alzheimers Dis 23(2):249–255

    PubMed  PubMed Central  Google Scholar 

  4. Bertram L, McQueen MB, Mullin K, Blacker D, Tanzi RE (2007) Systematic meta-analyses of Alzheimer disease genetic association studies: the AlzGene database. Nat Genet 39(1):17–23

    Article  CAS  PubMed  Google Scholar 

  5. Wang HZ, Bi R, Hu QX, Xiang Q, Zhang C, Zhang DF, Zhang W, Ma X, Guo W, Deng W, Zhao L, Ni P, Li M, Fang Y, Li T, Yao YG (2014) Validating GWAS-identified risk loci for Alzheimer’s disease in Han Chinese populations. Mol Neurobiol. doi:10.1007/s12035-014-9015-z

  6. Ridge PG, Mukherjee S, Crane PK, Kauwe JS (2013) Alzheimer’s disease: analyzing the missing heritability. PLoS One 8(11):e79771

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  7. Guerreiro R, Wojtas A, Bras J, Carrasquillo M, Rogaeva E, Majounie E, Cruchaga C, Sassi C, Kauwe JS, Younkin S, Hazrati L, Collinge J, Pocock J, Lashley T, Williams J, Lambert JC, Amouyel P, Goate A, Rademakers R, Morgan K, Powell J, St George-Hyslop P, Singleton A, Hardy J (2013) TREM2 variants in Alzheimer’s disease. N Engl J Med 368(2):117–127

    Article  CAS  PubMed  Google Scholar 

  8. Jonsson T, Stefansson H, Steinberg S, Jonsdottir I, Jonsson PV, Snaedal J, Bjornsson S, Huttenlocher J, Levey AI, Lah JJ, Rujescu D, Hampel H, Giegling I, Andreassen OA, Engedal K, Ulstein I, Djurovic S, Ibrahim-Verbaas C, Hofman A, Ikram MA, van Duijn CM, Thorsteinsdottir U, Kong A, Stefansson K (2013) Variant of TREM2 associated with the risk of Alzheimer’s disease. N Engl J Med 368(2):107–116

    Article  CAS  PubMed  Google Scholar 

  9. Cruchaga C, Karch CM, Jin SC, Benitez BA, Cai Y, Guerreiro R, Harari O, Norton J, Budde J, Bertelsen S, Jeng AT, Cooper B, Skorupa T, Carrell D, Levitch D, Hsu S, Choi J, Ryten M, Hardy J, Trabzuni D, Weale ME, Ramasamy A, Smith C, Sassi C, Bras J, Gibbs JR, Hernandez DG, Lupton MK, Powell J, Forabosco P, Ridge PG, Corcoran CD, Tschanz JT, Norton MC, Munger RG, Schmutz C, Leary M, Demirci FY, Bamne MN, Wang X, Lopez OL, Ganguli M, Medway C, Turton J, Lord J, Braae A, Barber I, Brown K, Passmore P, Craig D, Johnston J, McGuinness B, Todd S, Heun R, Kolsch H, Kehoe PG, Hooper NM, Vardy ER, Mann DM, Pickering-Brown S, Kalsheker N, Lowe J, Morgan K, David Smith A, Wilcock G, Warden D, Holmes C, Pastor P, Lorenzo-Betancor O, Brkanac Z, Scott E, Topol E, Rogaeva E, Singleton AB, Kamboh MI, St George-Hyslop P, Cairns N, Morris JC, Kauwe JS, Goate AM (2014) Rare coding variants in the phospholipase D3 gene confer risk for Alzheimer’s disease. Nature 505(7484):550–554

    Article  CAS  PubMed  Google Scholar 

  10. Jiang T, Yu JT, Zhu XC, Tan L (2013) TREM2 in Alzheimer’s disease. Mol Neurobiol 48(1):180–185

    Article  CAS  PubMed  Google Scholar 

  11. Lill CM, Rengmark A, Pihlstrom L, Fogh I, Shatunov A, Sleiman PM, Wang LS, Liu T, Lassen CF, Meissner E, Alexopoulos P, Calvo A, Chio A, Dizdar N, Faltraco F, Forsgren L, Kirchheiner J, Kurz A, Larsen JP, Liebsch M, Linder J, Morrison KE, Nissbrandt H, Otto M, Pahnke J, Partch A, Restagno G, Rujescu D, Schnack C, Shaw CE, Shaw PJ, Tumani H, Tysnes OB, Valladares O, Silani V, van den Berg LH, van Rheenen W, Veldink JH, Lindenberger U, Steinhagen-Thiessen E, Teipel S, Perneczky R, Hakonarson H, Hampel H, von Arnim CA, Olsen JH, Van Deerlin VM, Al-Chalabi A, Toft M, Ritz B, Bertram L (2015) The role of TREM2 R47H as a risk factor for Alzheimer’s disease, frontotemporal lobar degeneration, amyotrophic lateral sclerosis, and Parkinson’s disease. Alzheimers Dement. doi:10.1016/j.jalz.2014.12.009

  12. Jin SC, Benitez BA, Karch CM, Cooper B, Skorupa T, Carrell D, Norton JB, Hsu S, Harari O, Cai Y, Bertelsen S, Goate AM, Cruchaga C (2014) Coding variants in TREM2 increase risk for Alzheimer’s disease. Hum Mol Genet 23(21):5838–5846

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  13. Wang Y, Cella M, Mallinson K, Ulrich JD, Young KL, Robinette ML, Gilfillan S, Krishnan GM, Sudhakar S, Zinselmeyer BH, Holtzman DM, Cirrito JR, Colonna M (2015) TREM2 lipid sensing sustains the microglial response in an Alzheimer’s disease model. Cell 160(6):1061–1071

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  14. Karch CM, Goate AM (2015) Alzheimer’s disease risk genes and mechanisms of disease pathogenesis. Biol Psychiatry 77(1):43–51

    Article  CAS  PubMed  Google Scholar 

  15. Hooli BV, Lill CM, Mullin K, Qiao D, Lange C, Bertram L, Tanzi RE (2015) PLD3 gene variants and Alzheimer’s disease. Nature 520(7545):E7–E8

    Article  CAS  PubMed  Google Scholar 

  16. Heilmann S, Drichel D, Clarimon J, Fernandez V, Lacour A, Wagner H, Thelen M, Hernandez I, Fortea J, Alegret M, Blesa R, Mauleon A, Roca MR, Kornhuber J, Peters O, Heun R, Frolich L, Hull M, Heneka MT, Ruther E, Riedel-Heller S, Scherer M, Wiltfang J, Jessen F, Becker T, Tarraga L, Boada M, Maier W, Lleo A, Ruiz A, Nothen MM, Ramirez A (2015) PLD3 in non-familial Alzheimer’s disease. Nature 520(7545):E3–E5

    Article  CAS  PubMed  Google Scholar 

  17. van der Lee SJ, Holstege H, Wong TH, Jakobsdottir J, Bis JC, Chouraki V, van Rooij JG, Grove ML, Smith AV, Amin N, Choi SH, Beiser AS, Garcia ME, van IWF, Pijnenburg YA, Louwersheimer E, Brouwer RW, van den Hout MC, Oole E, Eirkisdottir G, Levy D, Rotter JI, Emilsson V, O’Donnell CJ, Aspelund T, Uitterlinden AG, Launer LJ, Hofman A, Boerwinkle E, Psaty BM, DeStefano AL, Scheltens P, Seshadri S, van Swieten JC, Gudnason V, van der Flier WM, Ikram MA, van Duijn CM (2015) PLD3 variants in population studies. Nature 520 (7545):E2-3

  18. Lambert JC, Grenier-Boley B, Bellenguez C, Pasquier F, Campion D, Dartigues JF, Berr C, Tzourio C, Amouyel P (2015) PLD3 and sporadic Alzheimer’s disease risk. Nature 520(7545):E1

    Article  CAS  PubMed  Google Scholar 

  19. Tamura K, Dudley J, Nei M, Kumar S (2007) MEGA4: Molecular Evolutionary Genetics Analysis (MEGA) software version 4.0. Mol Biol Evol 24(8):1596–1599

    Article  CAS  PubMed  Google Scholar 

  20. Kallberg M, Margaryan G, Wang S, Ma J, Xu J (2014) RaptorX server: a resource for template-based protein structure modeling. Methods Mol Biol 1137:17–27

    Article  CAS  PubMed  Google Scholar 

  21. Kallberg M, Wang H, Wang S, Peng J, Wang Z, Lu H, Xu J (2012) Template-based protein structure modeling using the RaptorX web server. Nat Protoc 7(8):1511–1522

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  22. Kelley LA, Sternberg MJ (2009) Protein structure prediction on the Web: a case study using the Phyre server. Nat Protoc 4(3):363–371

    Article  CAS  PubMed  Google Scholar 

  23. Yang J, Yan R, Roy A, Xu D, Poisson J, Zhang Y (2015) The I-TASSER Suite: protein structure and function prediction. Nat Methods 12(1):7–8

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  24. Roy A, Kucukural A, Zhang Y (2010) I-TASSER: a unified platform for automated protein structure and function prediction. Nat Protoc 5(4):725–738

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  25. Zhang Y (2008) I-TASSER server for protein 3D structure prediction. BMC Bioinformatics 9:40

    Article  PubMed  PubMed Central  Google Scholar 

  26. Schulte EC, Kurz A, Alexopoulos P, Hampel H, Peters A, Gieger C, Rujescu D, Diehl-Schmid J, Winkelmann J (2015) Excess of rare coding variants in PLD3 in late- but not early-onset Alzheimer’s disease. Human Genome Variation 2, 14028

  27. Blalock EM, Geddes JW, Chen KC, Porter NM, Markesbery WR, Landfield PW (2004) Incipient Alzheimer’s disease: microarray correlation analyses reveal major transcriptional and tumor suppressor responses. Proc Natl Acad Sci U S A 101(7):2173–2178

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  28. Dunckley T, Beach TG, Ramsey KE, Grover A, Mastroeni D, Walker DG, LaFleur BJ, Coon KD, Brown KM, Caselli R, Kukull W, Higdon R, McKeel D, Morris JC, Hulette C, Schmechel D, Reiman EM, Rogers J, Stephan DA (2006) Gene expression correlates of neurofibrillary tangles in Alzheimer’s disease. Neurobiol Aging 27(10):1359–1371

    Article  CAS  PubMed  Google Scholar 

  29. Hokama M, Oka S, Leon J, Ninomiya T, Honda H, Sasaki K, Iwaki T, Ohara T, Sasaki T, LaFerla FM, Kiyohara Y, Nakabeppu Y (2014) Altered expression of diabetes-related genes in Alzheimer’s disease brains: the Hisayama study. Cereb Cortex 24(9):2476–2488

    Article  PubMed  Google Scholar 

  30. Simpson JE, Ince PG, Shaw PJ, Heath PR, Raman R, Garwood CJ, Gelsthorpe C, Baxter L, Forster G, Matthews FE, Brayne C, Wharton SB (2011) Microarray analysis of the astrocyte transcriptome in the aging brain: relationship to Alzheimer’s pathology and APOE genotype. Neurobiol Aging 32(10):1795–1807

    Article  CAS  PubMed  Google Scholar 

  31. Lambert JC, Ibrahim-Verbaas CA, Harold D, Naj AC, Sims R, Bellenguez C, DeStafano AL, Bis JC, Beecham GW, Grenier-Boley B, Russo G, Thorton-Wells TA, Jones N, Smith AV, Chouraki V, Thomas C, Ikram MA, Zelenika D, Vardarajan BN, Kamatani Y, Lin CF, Gerrish A, Schmidt H, Kunkle B, Dunstan ML, Ruiz A, Bihoreau MT, Choi SH, Reitz C, Pasquier F, Cruchaga C, Craig D, Amin N, Berr C, Lopez OL, De Jager PL, Deramecourt V, Johnston JA, Evans D, Lovestone S, Letenneur L, Moron FJ, Rubinsztein DC, Eiriksdottir G, Sleegers K, Goate AM, Fievet N, Huentelman MW, Gill M, Brown K, Kamboh MI, Keller L, Barberger-Gateau P, McGuiness B, Larson EB, Green R, Myers AJ, Dufouil C, Todd S, Wallon D, Love S, Rogaeva E, Gallacher J, St George-Hyslop P, Clarimon J, Lleo A, Bayer A, Tsuang DW, Yu L, Tsolaki M, Bossu P, Spalletta G, Proitsi P, Collinge J, Sorbi S, Sanchez-Garcia F, Fox NC, Hardy J, Deniz Naranjo MC, Bosco P, Clarke R, Brayne C, Galimberti D, Mancuso M, Matthews F, Moebus S, Mecocci P, Del Zompo M, Maier W, Hampel H, Pilotto A, Bullido M, Panza F, Caffarra P, Nacmias B, Gilbert JR, Mayhaus M, Lannefelt L, Hakonarson H, Pichler S, Carrasquillo MM, Ingelsson M, Beekly D, Alvarez V, Zou F, Valladares O, Younkin SG, Coto E, Hamilton-Nelson KL, Gu W, Razquin C, Pastor P, Mateo I, Owen MJ, Faber KM, Jonsson PV, Combarros O, O’Donovan MC, Cantwell LB, Soininen H, Blacker D, Mead S, Mosley TH Jr, Bennett DA, Harris TB, Fratiglioni L, Holmes C, de Bruijn RF, Passmore P, Montine TJ, Bettens K, Rotter JI, Brice A, Morgan K, Foroud TM, Kukull WA, Hannequin D, Powell JF, Nalls MA, Ritchie K, Lunetta KL, Kauwe JS, Boerwinkle E, Riemenschneider M, Boada M, Hiltuenen M, Martin ER, Schmidt R, Rujescu D, Wang LS, Dartigues JF, Mayeux R, Tzourio C, Hofman A, Nothen MM, Graff C, Psaty BM, Jones L, Haines JL, Holmans PA, Lathrop M, Pericak-Vance MA, Launer LJ, Farrer LA, van Duijn CM, Van Broeckhoven C, Moskvina V, Seshadri S, Williams J, Schellenberg GD, Amouyel P (2013) Meta-analysis of 74,046 individuals identifies 11 new susceptibility loci for Alzheimer’s disease. Nat Genet 45(12):1452–1458

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  32. Liu JZ, McRae AF, Nyholt DR, Medland SE, Wray NR, Brown KM, Hayward NK, Montgomery GW, Visscher PM, Martin NG, Macgregor S (2010) A versatile gene-based test for genome-wide association studies. Am J Hum Genet 87(1):139–145

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  33. GTEx Consortium (2013) The Genotype-Tissue Expression (GTEx) project. Nat Genet 45(6):580–585

    Article  Google Scholar 

  34. Ramasamy A, Trabzuni D, Guelfi S, Varghese V, Smith C, Walker R, De T, Coin L, de Silva R, Cookson MR, Singleton AB, Hardy J, Ryten M, Weale ME (2014) Genetic variability in the regulation of gene expression in ten regions of the human brain. Nat Neurosci 17(10):1418–1428

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  35. Jiao B, Liu X, Tang B, Hou L, Zhou L, Zhang F, Zhou Y, Guo J, Yan X, Shen L (2014) Investigation of TREM2, PLD3, and UNC5C variants in patients with Alzheimer’s disease from mainland China. Neurobiol Aging 35(10):2422 e2429–2422 e2411

    Article  Google Scholar 

  36. Li H, Durbin R (2009) Fast and accurate short read alignment with Burrows-Wheeler transform. Bioinformatics 25(14):1754–1760

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  37. Li H, Handsaker B, Wysoker A, Fennell T, Ruan J, Homer N, Marth G, Abecasis G, Durbin R (2009) The Sequence Alignment/Map format and SAMtools. Bioinformatics 25(16):2078–2079

    Article  PubMed  PubMed Central  Google Scholar 

  38. McKenna A, Hanna M, Banks E, Sivachenko A, Cibulskis K, Kernytsky A, Garimella K, Altshuler D, Gabriel S, Daly M, DePristo MA (2010) The Genome Analysis Toolkit: a MapReduce framework for analyzing next-generation DNA sequencing data. Genome Res 20(9):1297–1303

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  39. Ng PC, Henikoff S (2006) Predicting the effects of amino acid substitutions on protein function. Annu Rev Genomics Hum Genet 7:61–80

    Article  CAS  PubMed  Google Scholar 

  40. Lindsley CW, Brown HA (2012) Phospholipase D as a therapeutic target in brain disorders. Neuropsychopharmacology 37(1):301–302

    Article  CAS  PubMed  Google Scholar 

  41. Oliveira TG, Di Paolo G (2010) Phospholipase D in brain function and Alzheimer’s disease. Biochim Biophys Acta 1801(8):799–805

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  42. Oliveira TG, Chan RB, Tian H, Laredo M, Shui G, Staniszewski A, Zhang H, Wang L, Kim TW, Duff KE, Wenk MR, Arancio O, Di Paolo G (2010) Phospholipase d2 ablation ameliorates Alzheimer’s disease-linked synaptic dysfunction and cognitive deficits. J Neurosci 30(49):16419–16428

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  43. Kanfer JN, Hattori H, Orihel D (1986) Reduced phospholipase D activity in brain tissue samples from Alzheimer’s disease patients. Ann Neurol 20(2):265–267

    Article  CAS  PubMed  Google Scholar 

  44. Abecasis GR, Altshuler D, Auton A, Brooks LD, Durbin RM, Gibbs RA, Hurles ME, McVean GA (2010) A map of human genome variation from population-scale sequencing. Nature 467(7319):1061–1073

    Article  PubMed  Google Scholar 

  45. Satoh J, Kino Y, Yamamoto Y, Kawana N, Ishida T, Saito Y, Arima K (2014) PLD3 is accumulated on neuritic plaques in Alzheimer’s disease brains. Alzheimers Res Ther 6(9):70

    Article  PubMed  PubMed Central  Google Scholar 

  46. Cai D, Zhong M, Wang R, Netzer WJ, Shields D, Zheng H, Sisodia SS, Foster DA, Gorelick FS, Xu H, Greengard P (2006) Phospholipase D1 corrects impaired betaAPP trafficking and neurite outgrowth in familial Alzheimer’s disease-linked presenilin-1 mutant neurons. Proc Natl Acad Sci U S A 103(6):1936–1940

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  47. Cai D, Netzer WJ, Zhong M, Lin Y, Du G, Frohman M, Foster DA, Sisodia SS, Xu H, Gorelick FS, Greengard P (2006) Presenilin-1 uses phospholipase D1 as a negative regulator of beta-amyloid formation. Proc Natl Acad Sci U S A 103(6):1941–1946

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  48. Liu Y, Zhang YW, Wang X, Zhang H, You X, Liao FF, Xu H (2009) Intracellular trafficking of presenilin 1 is regulated by beta-amyloid precursor protein and phospholipase D1. J Biol Chem 284(18):12145–12152

    Article  CAS  PubMed  PubMed Central  Google Scholar 

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Acknowledgments

This work was supported by the Strategic Priority Research Program (B) of the Chinese Academy of Sciences (XDB02020003). We thank the IGAP for providing summary results data for these analyses. The investigators within IGAP contributed to the design and implementation of IGAP and/or provided data but did not participate in analysis or writing of this report. IGAP was made possible by the generous participation of the control subjects, the patients, and their families. The iSelect chips were funded by the French National Foundation on Alzheimer’s disease and related disorders. EADI was supported by the Laboratory of Excellence Program Investment for the Future (LABEX) DISTALZ grant, Inserm, Institut Pasteur de Lille, Université de Lille 2, and the Lille University Hospital. GERAD was supported by the Medical Research Council (Grant no. 503480), the Alzheimer’s Research UK (Grant no. 503176), the Wellcome Trust (Grant no. 082604/2/07/Z), and the German Federal Ministry of Education and Research (BMBF): Competence Network Dementia (CND) grant nos. 01GI0102, 01GI0711, and 01GI0420. CHARGE was partly supported by the NIH/NIA grant R01 AG033193 and the NIA AG081220 and AGES contract N01–AG–12100, the NHLBI grant R01 HL105756, the Icelandic Heart Association, and the Erasmus Medical Center and Erasmus University. ADGC was supported by the NIH/NIA grants U01 AG032984, U24 AG021886, and U01 AG016976 and the Alzheimer’s Association grant ADGC–10–196728.

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Zhang, DF., Fan, Y., Wang, D. et al. PLD3 in Alzheimer’s Disease: a Modest Effect as Revealed by Updated Association and Expression Analyses. Mol Neurobiol 53, 4034–4045 (2016). https://doi.org/10.1007/s12035-015-9353-5

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