Literature DB >> 26742530

Effect of CR1 Genetic Variants on Cerebrospinal Fluid and Neuroimaging Biomarkers in Healthy, Mild Cognitive Impairment and Alzheimer's Disease Cohorts.

Xi-Chen Zhu1, Hui-Fu Wang1, Teng Jiang1,2, Huan Lu1, Meng-Shan Tan3, Chen-Chen Tan3, Lin Tan4, Lan Tan5,6,7, Jin-Tai Yu8,9,10,11.   

Abstract

The complement component (3b/4b) receptor 1 gene (CR1) is considered as one of the most important genetic susceptibility loci in Alzheimer's disease (AD). However, to date, few studies were performed to discover the possible effect of CR1 genetic variants on AD pathology in the brain. Here, we evaluated the potential role of CR1 common variants in AD-related pathology by assessing neuroimaging biomarkers and cerebrospinal fluid (CSF) proteins. Finally, a total of 812 subjects from the Alzheimer's disease Neuroimaging Initiative database and eight single nucleotide polymorphisms (SNPs) after quality control procedures are enrolled in our analysis. After applied to multiple linear regression models, significant associations were proved to exist between rs4844609 and amyloid deposition in cingulated, frontal, parietal, and temporal on florbetapir 18F amyloid positron emission tomography. In the analysis of the impacts of CR1 genetic variants on brain structures, three SNPs (rs12034383, rs3737002, and rs6691117) were significantly linked to the changes in volume of middle temporal. In addition, rs10779339 showed a negative connection with the cerebral metabolism rate of glucose in the right temporal on 18F-fluorodeoxyglucose PET imaging. However, no significant statistical findings were detected between CR1 genetic variants and CSF proteins (amyloid β, total-tau, and p-tau) at baseline diagnose or in the follow-up study of 2 years. The results of our study indicated that CR1 plays a vital role in AD pathology mainly by influencing Aβ deposition, brain structure, and glucose metabolism during AD progression.

Entities:  

Keywords:  Alzheimer’s disease; Amyloid deposition; Brain structure; CR1; CSF; Glucose metabolism; Neuroimaging

Mesh:

Substances:

Year:  2016        PMID: 26742530     DOI: 10.1007/s12035-015-9638-8

Source DB:  PubMed          Journal:  Mol Neurobiol        ISSN: 0893-7648            Impact factor:   5.590


  81 in total

1.  Mild cognitive impairment: Can FDG-PET predict who is to rapidly convert to Alzheimer's disease?

Authors:  G Chételat; B Desgranges; V de la Sayette; F Viader; F Eustache; J-C Baron
Journal:  Neurology       Date:  2003-04-22       Impact factor: 9.910

2.  Systemic catabolism of Alzheimer's Abeta40 and Abeta42.

Authors:  Jorge Ghiso; Marcos Shayo; Miguel Calero; Douglas Ng; Yasushi Tomidokoro; Samuel Gandy; Agueda Rostagno; Blas Frangione
Journal:  J Biol Chem       Date:  2004-08-20       Impact factor: 5.157

3.  Commentary on "Recommendations from the National Institute on Aging-Alzheimer's Association workgroups on diagnostic guidelines for Alzheimer's disease." Addressing the challenge of Alzheimer's disease in the 21st century.

Authors:  Karl Herrup
Journal:  Alzheimers Dement       Date:  2011-05       Impact factor: 21.566

4.  Simultaneous measurement of beta-amyloid(1-42), total tau, and phosphorylated tau (Thr181) in cerebrospinal fluid by the xMAP technology.

Authors:  Annika Olsson; Hugo Vanderstichele; Niels Andreasen; Geert De Meyer; Anders Wallin; Björn Holmberg; Lars Rosengren; Eugeen Vanmechelen; Kaj Blennow
Journal:  Clin Chem       Date:  2004-11-24       Impact factor: 8.327

5.  Complement receptor 1 coding variant p.Ser1610Thr in Alzheimer's disease and related endophenotypes.

Authors:  Caroline Van Cauwenberghe; Karolien Bettens; Sebastiaan Engelborghs; Mathieu Vandenbulcke; Jasper Van Dongen; Steven Vermeulen; Rik Vandenberghe; Peter P De Deyn; Christine Van Broeckhoven; Kristel Sleegers
Journal:  Neurobiol Aging       Date:  2013-04-10       Impact factor: 4.673

6.  Comprehensive dissection of the medial temporal lobe in AD: measurement of hippocampus, amygdala, entorhinal, perirhinal and parahippocampal cortices using MRI.

Authors:  Stefan J Teipel; Jens C Pruessner; Frank Faltraco; Christine Born; Manoela Rocha-Unold; Alan Evans; Hans-Jürgen Möller; Harald Hampel
Journal:  J Neurol       Date:  2006-03-06       Impact factor: 4.849

7.  Topographic patterns of brain functional impairment progression according to clinical severity staging in 116 Alzheimer disease patients: FDG-PET study.

Authors:  Il Han Choo; Dong Young Lee; Jong Choul Youn; Jin Hyeong Jhoo; Ki Woong Kim; Dong Soo Lee; Jae Sung Lee; Jong Inn Woo
Journal:  Alzheimer Dis Assoc Disord       Date:  2007 Apr-Jun       Impact factor: 2.703

8.  A coding variant in CR1 interacts with APOE-ε4 to influence cognitive decline.

Authors:  Brendan T Keenan; Joshua M Shulman; Lori B Chibnik; Towfique Raj; Dong Tran; Mert R Sabuncu; April N Allen; Jason J Corneveaux; John A Hardy; Matthew J Huentelman; Cynthia A Lemere; Amanda J Myers; Anne Nicholson-Weller; Eric M Reiman; Denis A Evans; David A Bennett; Philip L De Jager
Journal:  Hum Mol Genet       Date:  2012-02-17       Impact factor: 6.150

9.  Testing for associations between loci and environmental gradients using latent factor mixed models.

Authors:  Eric Frichot; Sean D Schoville; Guillaume Bouchard; Olivier François
Journal:  Mol Biol Evol       Date:  2013-03-29       Impact factor: 16.240

10.  Common variants at MS4A4/MS4A6E, CD2AP, CD33 and EPHA1 are associated with late-onset Alzheimer's disease.

Authors:  Adam C Naj; Gyungah Jun; Gary W Beecham; Li-San Wang; Badri Narayan Vardarajan; Jacqueline Buros; Paul J Gallins; Joseph D Buxbaum; Gail P Jarvik; Paul K Crane; Eric B Larson; Thomas D Bird; Bradley F Boeve; Neill R Graff-Radford; Philip L De Jager; Denis Evans; Julie A Schneider; Minerva M Carrasquillo; Nilufer Ertekin-Taner; Steven G Younkin; Carlos Cruchaga; John S K Kauwe; Petra Nowotny; Patricia Kramer; John Hardy; Matthew J Huentelman; Amanda J Myers; Michael M Barmada; F Yesim Demirci; Clinton T Baldwin; Robert C Green; Ekaterina Rogaeva; Peter St George-Hyslop; Steven E Arnold; Robert Barber; Thomas Beach; Eileen H Bigio; James D Bowen; Adam Boxer; James R Burke; Nigel J Cairns; Chris S Carlson; Regina M Carney; Steven L Carroll; Helena C Chui; David G Clark; Jason Corneveaux; Carl W Cotman; Jeffrey L Cummings; Charles DeCarli; Steven T DeKosky; Ramon Diaz-Arrastia; Malcolm Dick; Dennis W Dickson; William G Ellis; Kelley M Faber; Kenneth B Fallon; Martin R Farlow; Steven Ferris; Matthew P Frosch; Douglas R Galasko; Mary Ganguli; Marla Gearing; Daniel H Geschwind; Bernardino Ghetti; John R Gilbert; Sid Gilman; Bruno Giordani; Jonathan D Glass; John H Growdon; Ronald L Hamilton; Lindy E Harrell; Elizabeth Head; Lawrence S Honig; Christine M Hulette; Bradley T Hyman; Gregory A Jicha; Lee-Way Jin; Nancy Johnson; Jason Karlawish; Anna Karydas; Jeffrey A Kaye; Ronald Kim; Edward H Koo; Neil W Kowall; James J Lah; Allan I Levey; Andrew P Lieberman; Oscar L Lopez; Wendy J Mack; Daniel C Marson; Frank Martiniuk; Deborah C Mash; Eliezer Masliah; Wayne C McCormick; Susan M McCurry; Andrew N McDavid; Ann C McKee; Marsel Mesulam; Bruce L Miller; Carol A Miller; Joshua W Miller; Joseph E Parisi; Daniel P Perl; Elaine Peskind; Ronald C Petersen; Wayne W Poon; Joseph F Quinn; Ruchita A Rajbhandary; Murray Raskind; Barry Reisberg; John M Ringman; Erik D Roberson; Roger N Rosenberg; Mary Sano; Lon S Schneider; William Seeley; Michael L Shelanski; Michael A Slifer; Charles D Smith; Joshua A Sonnen; Salvatore Spina; Robert A Stern; Rudolph E Tanzi; John Q Trojanowski; Juan C Troncoso; Vivianna M Van Deerlin; Harry V Vinters; Jean Paul Vonsattel; Sandra Weintraub; Kathleen A Welsh-Bohmer; Jennifer Williamson; Randall L Woltjer; Laura B Cantwell; Beth A Dombroski; Duane Beekly; Kathryn L Lunetta; Eden R Martin; M Ilyas Kamboh; Andrew J Saykin; Eric M Reiman; David A Bennett; John C Morris; Thomas J Montine; Alison M Goate; Deborah Blacker; Debby W Tsuang; Hakon Hakonarson; Walter A Kukull; Tatiana M Foroud; Jonathan L Haines; Richard Mayeux; Margaret A Pericak-Vance; Lindsay A Farrer; Gerard D Schellenberg
Journal:  Nat Genet       Date:  2011-04-03       Impact factor: 38.330

View more
  6 in total

1.  Detecting Biomarkers of Alzheimer's Disease Based on Multi-constrained Uncertainty-Aware Adaptive Sparse Multi-view Canonical Correlation Analysis.

Authors:  Wenbo Wang; Wei Kong; Shuaiqun Wang; Kai Wei
Journal:  J Mol Neurosci       Date:  2022-01-26       Impact factor: 3.444

2.  MS4A6A genotypes are associated with the atrophy rates of Alzheimer's disease related brain structures.

Authors:  Jing Ma; Wei Zhang; Lin Tan; Hui-Fu Wang; Yu Wan; Fu-Rong Sun; Chen-Chen Tan; Jin-Tai Yu; Lan Tan
Journal:  Oncotarget       Date:  2016-09-13

3.  Integrate GWAS, eQTL, and mQTL Data to Identify Alzheimer's Disease-Related Genes.

Authors:  Tianyi Zhao; Yang Hu; Tianyi Zang; Yadong Wang
Journal:  Front Genet       Date:  2019-10-25       Impact factor: 4.599

4.  Crry silencing alleviates Alzheimer's disease injury by regulating neuroinflammatory cytokines and the complement system.

Authors:  Xi-Chen Zhu; Lu Liu; Wen-Zhuo Dai; Tao Ma
Journal:  Neural Regen Res       Date:  2022-08       Impact factor: 5.135

5.  Predictive classification of Alzheimer's disease using brain imaging and genetic data.

Authors:  Jinhua Sheng; Yu Xin; Qiao Zhang; Luyun Wang; Ze Yang; Jie Yin
Journal:  Sci Rep       Date:  2022-02-14       Impact factor: 4.379

6.  Evaluation of mild cognitive impairment genetic susceptibility risks in a Chinese population.

Authors:  Yelei Zhang; Xiaoyue Li; Yu Hu; Hongwei Yuan; Xiaodong Wu; Yating Yang; Tongtong Zhao; Ke Hu; Zhiqiang Wang; Guoqiang Wang; Kai Zhang; Huanzhong Liu
Journal:  BMC Psychiatry       Date:  2022-02-08       Impact factor: 3.630

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.