Literature DB >> 25073604

Differentially co-expressed genes in postmortem prefrontal cortex of individuals with alcohol use disorders: influence on alcohol metabolism-related pathways.

Huiping Zhang1, Fan Wang, Hongqin Xu, Yawen Liu, Jin Liu, Hongyu Zhao, Joel Gelernter.   

Abstract

Chronic alcohol consumption may induce gene expression alterations in brain reward regions such as the prefrontal cortex (PFC), modulating the risk of alcohol use disorders (AUDs). Transcriptome profiles of 23 AUD cases and 23 matched controls (16 pairs of males and 7 pairs of females) in postmortem PFC were generated using Illumina's HumanHT-12 v4 Expression BeadChip. Probe-level differentially expressed genes and gene modules in AUD subjects were identified using multiple linear regression and weighted gene co-expression network analyses. The enrichment of differentially co-expressed genes in alcohol dependence-associated genes identified by genome-wide association studies (GWAS) was examined using gene set enrichment analysis. Biological pathways overrepresented by differentially co-expressed genes were uncovered using DAVID bioinformatics resources. Three AUD-associated gene modules in males [Module 1 (561 probes mapping to 505 genes): r = 0.42, P(correlation) = 0.020; Module 2 (815 probes mapping to 713 genes): r = 0.41, P(correlation) = 0.020; Module 3 (1,446 probes mapping to 1,305 genes): r = -0.38, P(correlation) = 0.030] and one AUD-associated gene module in females [Module 4 (683 probes mapping to 652 genes): r = 0.64, P(correlation) = 0.010] were identified. Differentially expressed genes mapped by significant expression probes (P(nominal) ≤ 0.05) clustered in Modules 1 and 2 were enriched in GWAS-identified alcohol dependence-associated genes [Module 1 (134 genes): P = 0.028; Module 2 (243 genes): P = 0.004]. These differentially expressed genes, including ALDH2, ALDH7A1, and ALDH9A1, are involved in cellular functions such as aldehyde detoxification, mitochondrial function, and fatty acid metabolism. Our study revealed differentially co-expressed genes in postmortem PFC of AUD subjects and demonstrated that some of these differentially co-expressed genes participate in alcohol metabolism.

Entities:  

Mesh:

Substances:

Year:  2014        PMID: 25073604      PMCID: PMC4185230          DOI: 10.1007/s00439-014-1473-x

Source DB:  PubMed          Journal:  Hum Genet        ISSN: 0340-6717            Impact factor:   4.132


  40 in total

1.  Statistical significance for genomewide studies.

Authors:  John D Storey; Robert Tibshirani
Journal:  Proc Natl Acad Sci U S A       Date:  2003-07-25       Impact factor: 11.205

2.  Gene expression profiling of individual cases reveals consistent transcriptional changes in alcoholic human brain.

Authors:  Jianwen Liu; Joanne M Lewohl; Peter R Dodd; Patrick K Randall; R Adron Harris; R Dayne Mayfield
Journal:  J Neurochem       Date:  2004-09       Impact factor: 5.372

3.  Gene coexpression networks in human brain identify epigenetic modifications in alcohol dependence.

Authors:  Igor Ponomarev; Shi Wang; Lingling Zhang; R Adron Harris; R Dayne Mayfield
Journal:  J Neurosci       Date:  2012-02-01       Impact factor: 6.167

4.  Gene set enrichment analysis: a knowledge-based approach for interpreting genome-wide expression profiles.

Authors:  Aravind Subramanian; Pablo Tamayo; Vamsi K Mootha; Sayan Mukherjee; Benjamin L Ebert; Michael A Gillette; Amanda Paulovich; Scott L Pomeroy; Todd R Golub; Eric S Lander; Jill P Mesirov
Journal:  Proc Natl Acad Sci U S A       Date:  2005-09-30       Impact factor: 11.205

5.  Differential expression of 14-3-3 isoforms in human alcoholic brain.

Authors:  Rachel K MacKay; Natalie J Colson; Peter R Dodd; Joanne M Lewohl
Journal:  Alcohol Clin Exp Res       Date:  2011-02-17       Impact factor: 3.455

6.  Alcohol-use disorders.

Authors:  Marc A Schuckit
Journal:  Lancet       Date:  2009-01-23       Impact factor: 79.321

7.  Patterns of gene expression are altered in the frontal and motor cortices of human alcoholics.

Authors:  R Dayne Mayfield; Joanne M Lewohl; Peter R Dodd; Amy Herlihy; Jianwen Liu; R Adron Harris
Journal:  J Neurochem       Date:  2002-05       Impact factor: 5.372

8.  ALDH2 is associated to alcohol dependence and is the major genetic determinant of "daily maximum drinks" in a GWAS study of an isolated rural Chinese sample.

Authors:  Ellen E Quillen; Xiang-Ding Chen; Laura Almasy; Fang Yang; Hao He; Xi Li; Xu-Yi Wang; Tie-Qiao Liu; Wei Hao; Hong-Wen Deng; Henry R Kranzler; Joel Gelernter
Journal:  Am J Med Genet B Neuropsychiatr Genet       Date:  2013-11-26       Impact factor: 3.568

9.  Identifying genetic variation for alcohol dependence.

Authors:  Arpana Agrawal; Laura J Bierut
Journal:  Alcohol Res       Date:  2012

10.  Widespread sex differences in gene expression and splicing in the adult human brain.

Authors:  Daniah Trabzuni; Adaikalavan Ramasamy; Sabaena Imran; Robert Walker; Colin Smith; Michael E Weale; John Hardy; Mina Ryten
Journal:  Nat Commun       Date:  2013       Impact factor: 14.919

View more
  22 in total

1.  Canonical variate regression.

Authors:  Chongliang Luo; Jin Liu; Dipak K Dey; Kun Chen
Journal:  Biostatistics       Date:  2016-02-09       Impact factor: 5.899

2.  Increased expression of microRNA-378a-5p in acute ethanol exposure of rat cardiomyocytes.

Authors:  Zhongkai Wang; Jingwen Song; Liang Zhang; Songqun Huang; Lizhi Bao; Feng Chen; Xianxian Zhao
Journal:  Cell Stress Chaperones       Date:  2017-02-03       Impact factor: 3.667

3.  Voluntary wheel running reduces voluntary consumption of ethanol in mice: identification of candidate genes through striatal gene expression profiling.

Authors:  T M Darlington; R D McCarthy; R J Cox; J Miyamoto-Ditmon; X Gallego; M A Ehringer
Journal:  Genes Brain Behav       Date:  2016-05-31       Impact factor: 3.449

4.  Brain Imaging-Guided Analysis Reveals DNA Methylation Profiles Correlated with Insular Surface Area and Alcohol Use Disorder.

Authors:  Yihong Zhao; Yongchao Ge; Zhi-Liang Zheng
Journal:  Alcohol Clin Exp Res       Date:  2019-03-04       Impact factor: 3.455

5.  Stability of the human sperm DNA methylome to folic acid fortification and short-term supplementation.

Authors:  D Chan; S McGraw; K Klein; L M Wallock; C Konermann; C Plass; P Chan; B Robaire; R A Jacob; C M T Greenwood; J M Trasler
Journal:  Hum Reprod       Date:  2016-12-18       Impact factor: 6.918

Review 6.  Gene expression profiling in the human alcoholic brain.

Authors:  Anna S Warden; R Dayne Mayfield
Journal:  Neuropharmacology       Date:  2017-03-15       Impact factor: 5.250

7.  Effects of Acute Alcohol Consumption on the Human Brain: Diffusional Kurtosis Imaging and Arterial Spin-Labeling Study.

Authors:  L M Kong; J Y Zeng; W B Zheng; Z W Shen; R H Wu
Journal:  AJNR Am J Neuroradiol       Date:  2019-03-14       Impact factor: 3.825

8.  RNA m6A Modification Changes in Postmortem Nucleus Accumbens of Subjects with Alcohol Use Disorder: A Pilot Study.

Authors:  Ying Liu; Huiping Zhang
Journal:  Genes (Basel)       Date:  2022-05-27       Impact factor: 4.141

9.  Diverse types of genomic evidence converge on alcohol use disorder risk genes.

Authors:  Yulin Dai; Ruifeng Hu; Guangsheng Pei; Huiping Zhang; Zhongming Zhao; Peilin Jia
Journal:  J Med Genet       Date:  2020-03-13       Impact factor: 6.318

10.  Prefrontal cortex eQTLs/mQTLs enriched in genetic variants associated with alcohol use disorder and other diseases.

Authors:  Honghuang Lin; Fan Wang; Andrew J Rosato; Lindsay A Farrer; David C Henderson; Huiping Zhang
Journal:  Epigenomics       Date:  2020-06-04       Impact factor: 4.778

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.