Literature DB >> 24535457

A genome-wide association meta-analysis of plasma Aβ peptides concentrations in the elderly.

V Chouraki1, R F A G De Bruijn2, J Chapuis1, J C Bis3, C Reitz4, S Schraen5, C A Ibrahim-Verbaas6, B Grenier-Boley1, C Delay1, R Rogers7, F Demiautte1, A Mounier1, A L Fitzpatrick3, C Berr8, J-F Dartigues9, A G Uitterlinden10, A Hofman11, M Breteler12, J T Becker13, M Lathrop14, N Schupf15, A Alpérovitch16, R Mayeux17, C M van Duijn11, L Buée5, P Amouyel18, O L Lopez13, M A Ikram19, C Tzourio20, J-C Lambert1.   

Abstract

Amyloid beta (Aβ) peptides are the major components of senile plaques, one of the main pathological hallmarks of Alzheimer disease (AD). However, Aβ peptides' functions are not fully understood and seem to be highly pleiotropic. We hypothesized that plasma Aβ peptides concentrations could be a suitable endophenotype for a genome-wide association study (GWAS) designed to (i) identify novel genetic factors involved in amyloid precursor protein metabolism and (ii) highlight relevant Aβ-related physiological and pathophysiological processes. Hence, we performed a genome-wide association meta-analysis of four studies totaling 3 528 healthy individuals of European descent and for whom plasma Aβ1-40 and Aβ1-42 peptides levels had been quantified. Although we did not observe any genome-wide significant locus, we identified 18 suggestive loci (P<1 × 10(-)(5)). Enrichment-pathway analyses revealed canonical pathways mainly involved in neuronal functions, for example, axonal guidance signaling. We also assessed the biological impact of the gene most strongly associated with plasma Aβ1-42 levels (cortexin 3, CTXN3) on APP metabolism in vitro and found that the gene protein was able to modulate Aβ1-42 secretion. In conclusion, our study results suggest that plasma Aβ peptides levels are valid endophenotypes in GWASs and can be used to characterize the metabolism and functions of APP and its metabolites.

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Year:  2014        PMID: 24535457      PMCID: PMC4418478          DOI: 10.1038/mp.2013.185

Source DB:  PubMed          Journal:  Mol Psychiatry        ISSN: 1359-4184            Impact factor:   15.992


  68 in total

1.  Brain to plasma amyloid-beta efflux: a measure of brain amyloid burden in a mouse model of Alzheimer's disease.

Authors:  Ronald B DeMattos; Kelly R Bales; David J Cummins; Steven M Paul; David M Holtzman
Journal:  Science       Date:  2002-03-22       Impact factor: 47.728

2.  Beta amyloid peptide (Abeta42) is internalized via the G-protein-coupled receptor FPRL1 and forms fibrillar aggregates in macrophages.

Authors:  H Yazawa; Z X Yu; Y Le; W Gong; V J Ferrans; J J Oppenheim; C C Li; J M Wang
Journal:  FASEB J       Date:  2001-11       Impact factor: 5.191

3.  Dab1 binds to Fe65 and diminishes the effect of Fe65 or LRP1 on APP processing.

Authors:  Oh Yeun Kwon; Kyounghee Hwang; Jeom-A Kim; Kwangmyung Kim; Ick Chan Kwon; Hyun Kyu Song; Hyesung Jeon
Journal:  J Cell Biochem       Date:  2010-10-01       Impact factor: 4.429

4.  Amyloid precursor protein regulates netrin-1-mediated commissural axon outgrowth.

Authors:  Nicolas Rama; David Goldschneider; Véronique Corset; Jérémy Lambert; Laurent Pays; Patrick Mehlen
Journal:  J Biol Chem       Date:  2012-07-10       Impact factor: 5.157

Review 5.  Alzheimer's amyloid-beta as a preventive antioxidant for brain lipoproteins.

Authors:  A Kontush
Journal:  Cell Mol Neurobiol       Date:  2001-08       Impact factor: 5.046

6.  Genetic association of CTNNA3 with late-onset Alzheimer's disease in females.

Authors:  Akinori Miyashita; Hiroyuki Arai; Takashi Asada; Masaki Imagawa; Etsuro Matsubara; Mikio Shoji; Susumu Higuchi; Katsuya Urakami; Akiyoshi Kakita; Hitoshi Takahashi; Shinichi Toyabe; Kohei Akazawa; Ichiro Kanazawa; Yasuo Ihara; Ryozo Kuwano
Journal:  Hum Mol Genet       Date:  2007-08-30       Impact factor: 6.150

7.  Genome-wide association reveals genetic effects on human Aβ42 and τ protein levels in cerebrospinal fluids: a case control study.

Authors:  Mi-Ryung Han; Gerard D Schellenberg; Li-San Wang
Journal:  BMC Neurol       Date:  2010-10-08       Impact factor: 2.474

8.  Age-dependent changes in brain, CSF, and plasma amyloid (beta) protein in the Tg2576 transgenic mouse model of Alzheimer's disease.

Authors:  T Kawarabayashi; L H Younkin; T C Saido; M Shoji; K H Ashe; S G Younkin
Journal:  J Neurosci       Date:  2001-01-15       Impact factor: 6.167

9.  In silico-initiated cloning and molecular characterization of cortexin 3, a novel human gene specifically expressed in the kidney and brain, and well conserved in vertebrates.

Authors:  Hai Tao Wang; Ji Wu Chang; Zhi Guo; Bao Guo Li
Journal:  Int J Mol Med       Date:  2007-10       Impact factor: 4.101

10.  WEB-based GEne SeT AnaLysis Toolkit (WebGestalt): update 2013.

Authors:  Jing Wang; Dexter Duncan; Zhiao Shi; Bing Zhang
Journal:  Nucleic Acids Res       Date:  2013-05-23       Impact factor: 16.971

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  16 in total

Review 1.  Recent publications from the Alzheimer's Disease Neuroimaging Initiative: Reviewing progress toward improved AD clinical trials.

Authors:  Michael W Weiner; Dallas P Veitch; Paul S Aisen; Laurel A Beckett; Nigel J Cairns; Robert C Green; Danielle Harvey; Clifford R Jack; William Jagust; John C Morris; Ronald C Petersen; Andrew J Saykin; Leslie M Shaw; Arthur W Toga; John Q Trojanowski
Journal:  Alzheimers Dement       Date:  2017-03-22       Impact factor: 21.566

2.  Association of plasma β-amyloid 40 and 42 concentration with type 2 diabetes among Chinese adults.

Authors:  Xiaobo Peng; Zihui Xu; Xiaoxing Mo; Qianqian Guo; Jiawei Yin; Mengdai Xu; Zhao Peng; Taoping Sun; Li Zhou; Xiaolin Peng; Shufang Xu; Wei Yang; Wei Bao; Zhilei Shan; Xiaoqin Li; Liegang Liu
Journal:  Diabetologia       Date:  2020-02-07       Impact factor: 10.122

3.  QTL and systems genetics analysis of mouse grooming and behavioral responses to novelty in an open field.

Authors:  A Delprato; M-P Algéo; B Bonheur; J A Bubier; L Lu; R W Williams; E J Chesler; W E Crusio
Journal:  Genes Brain Behav       Date:  2017-06-22       Impact factor: 3.449

4.  Candidate genes for Alzheimer's disease are associated with individual differences in plasma levels of beta amyloid peptides in adults with Down syndrome.

Authors:  Nicole Schupf; Annie Lee; Naeun Park; Lam-Ha Dang; Deborah Pang; Alexander Yale; David Kyung-Taek Oh; Sharon J Krinsky-McHale; Edmund C Jenkins; José A Luchsinger; Warren B Zigman; Wayne Silverman; Benjamin Tycko; Sergey Kisselev; Lorraine Clark; Joseph H Lee
Journal:  Neurobiol Aging       Date:  2015-06-19       Impact factor: 4.673

Review 5.  Genetic studies of quantitative MCI and AD phenotypes in ADNI: Progress, opportunities, and plans.

Authors:  Andrew J Saykin; Li Shen; Xiaohui Yao; Sungeun Kim; Kwangsik Nho; Shannon L Risacher; Vijay K Ramanan; Tatiana M Foroud; Kelley M Faber; Nadeem Sarwar; Leanne M Munsie; Xiaolan Hu; Holly D Soares; Steven G Potkin; Paul M Thompson; John S K Kauwe; Rima Kaddurah-Daouk; Robert C Green; Arthur W Toga; Michael W Weiner
Journal:  Alzheimers Dement       Date:  2015-07       Impact factor: 21.566

Review 6.  Alzheimer's disease genetics: from the bench to the clinic.

Authors:  Celeste M Karch; Carlos Cruchaga; Alison M Goate
Journal:  Neuron       Date:  2014-07-02       Impact factor: 17.173

7.  Association between 5q23.2-located polymorphism of CTXN3 gene (Cortexin 3) and schizophrenia in European-Caucasian males; implications for the aetiology of schizophrenia.

Authors:  Omar Šerý; Jan Lochman; Jana Povová; Vladimír Janout; Jiří Plesník; Vladimir J Balcar
Journal:  Behav Brain Funct       Date:  2015-03-17       Impact factor: 3.759

8.  Admixture mapping reveals the association between Native American ancestry at 3q13.11 and reduced risk of Alzheimer's disease in Caribbean Hispanics.

Authors:  Andréa R V R Horimoto; Diane Xue; Timothy A Thornton; Elizabeth E Blue
Journal:  Alzheimers Res Ther       Date:  2021-07-03       Impact factor: 6.982

9.  Molecular systems evaluation of oligomerogenic APP(E693Q) and fibrillogenic APP(KM670/671NL)/PSEN1(Δexon9) mouse models identifies shared features with human Alzheimer's brain molecular pathology.

Authors:  B Readhead; J-V Haure-Mirande; B Zhang; V Haroutunian; S Gandy; E E Schadt; J T Dudley; M E Ehrlich
Journal:  Mol Psychiatry       Date:  2015-11-10       Impact factor: 15.992

10.  Copy number variation associates with mortality in long-lived individuals: a genome-wide assessment.

Authors:  Marianne Nygaard; Birgit Debrabant; Qihua Tan; Joris Deelen; Karen Andersen-Ranberg; Anton J M de Craen; Marian Beekman; Bernard Jeune; Pieternella E Slagboom; Kaare Christensen; Lene Christiansen
Journal:  Aging Cell       Date:  2015-10-08       Impact factor: 9.304

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