Literature DB >> 27606323

Perturbational Profiling of Metabolites in Patient Fibroblasts Implicates α-Aminoadipate as a Potential Biomarker for Bipolar Disorder.

Joanne H Huang1, Shaunna S Berkovitch1, Jonathan Iaconelli1, Bradley Watmuff1, Hyoungjun Park2, Shrikanta Chattopadhyay3, Donna McPhie4, Dost Öngür4, Bruce M Cohen4, Clary B Clish5, Rakesh Karmacharya6.   

Abstract

Many studies suggest the presence of aberrations in cellular metabolism in bipolar disorder. We studied the metabolome in bipolar disorder to gain insight into cellular pathways that may be dysregulated in bipolar disorder and to discover evidence of novel biomarkers. We measured polar and nonpolar metabolites in fibroblasts from subjects with bipolar I disorder and matched healthy control subjects, under normal conditions and with two physiologic perturbations: low-glucose media and exposure to the stress-mediating hormone dexamethasone. Metabolites that were significantly different between bipolar and control subjects showed distinct separation by principal components analysis methods. The most statistically significant findings were observed in the perturbation experiments. The metabolite with the lowest p value in both the low-glucose and dexamethasone experiments was α-aminoadipate, whose intracellular level was consistently lower in bipolar subjects. Our study implicates α-aminoadipate as a possible biomarker in bipolar disorder that manifests under cellular stress. This is an intriguing finding given the known role of α-aminoadipate in the modulation of kynurenic acid in the brain, especially as abnormal kynurenic acid levels have been implicated in bipolar disorder.

Entities:  

Keywords:  2-Aminoadipate; 2-Aminoadipic acid; Bipolar disorder; Kynurenic acid; Metabolic profiling; α-Aminoadipate

Year:  2016        PMID: 27606323      PMCID: PMC4996006          DOI: 10.1159/000446654

Source DB:  PubMed          Journal:  Mol Neuropsychiatry        ISSN: 2296-9179


  83 in total

Review 1.  Kynurenines: from the perspective of major psychiatric disorders.

Authors:  Aye M Myint
Journal:  FEBS J       Date:  2012-03-27       Impact factor: 5.542

2.  Metabolomic profiling to identify potential serum biomarkers for schizophrenia and risperidone action.

Authors:  Jiekun Xuan; Guihua Pan; Yunping Qiu; Lun Yang; Mingming Su; Yumin Liu; Jian Chen; Guoyin Feng; Yiru Fang; Wei Jia; Qinghe Xing; Lin He
Journal:  J Proteome Res       Date:  2011-11-08       Impact factor: 4.466

3.  Metabolomic analysis of biochemical changes in the plasma and urine of first-episode neuroleptic-naïve schizophrenia patients after treatment with risperidone.

Authors:  Hua-Lin Cai; Huan-De Li; Xian-Zhong Yan; Bo Sun; Qi Zhang; Miao Yan; Wen-Yuan Zhang; Pei Jiang; Rong-Hua Zhu; Yi-Ping Liu; Ping-Fei Fang; Ping Xu; Hai-Yan Yuan; Xiang-Hui Zhang; Li Hu; Wen Yang; Hai-Sen Ye
Journal:  J Proteome Res       Date:  2012-07-26       Impact factor: 4.466

4.  Mitochondrial dysfunction and bipolar disorder.

Authors:  Tadafumi Kato
Journal:  Curr Top Behav Neurosci       Date:  2011

Review 5.  Fatty acid import into mitochondria.

Authors:  J Kerner; C Hoppel
Journal:  Biochim Biophys Acta       Date:  2000-06-26

6.  Analysis of whole genome biomarker expression in blood and brain.

Authors:  Brandi Rollins; Maureen V Martin; Ling Morgan; Marquis P Vawter
Journal:  Am J Med Genet B Neuropsychiatr Genet       Date:  2010-06-05       Impact factor: 3.568

7.  Molecular evidence for mitochondrial dysfunction in bipolar disorder.

Authors:  Christine Konradi; Molly Eaton; Matthew L MacDonald; John Walsh; Francine M Benes; Stephan Heckers
Journal:  Arch Gen Psychiatry       Date:  2004-03

8.  A critical appraisal of techniques, software packages, and standards for quantitative proteomic analysis.

Authors:  Faviel F Gonzalez-Galarza; Craig Lawless; Simon J Hubbard; Jun Fan; Conrad Bessant; Henning Hermjakob; Andrew R Jones
Journal:  OMICS       Date:  2012-07-17

9.  MetaboAnalyst 3.0--making metabolomics more meaningful.

Authors:  Jianguo Xia; Igor V Sinelnikov; Beomsoo Han; David S Wishart
Journal:  Nucleic Acids Res       Date:  2015-04-20       Impact factor: 16.971

10.  Genetic and clinical factors predict lithium's effects on PER2 gene expression rhythms in cells from bipolar disorder patients.

Authors:  M J McCarthy; H Wei; Z Marnoy; R M Darvish; D L McPhie; B M Cohen; D K Welsh
Journal:  Transl Psychiatry       Date:  2013-10-22       Impact factor: 6.222

View more
  4 in total

1.  Transcriptomic Landscape and Functional Characterization of Induced Pluripotent Stem Cell-Derived Cerebral Organoids in Schizophrenia.

Authors:  Annie Kathuria; Kara Lopez-Lengowski; Smita S Jagtap; Donna McPhie; Roy H Perlis; Bruce M Cohen; Rakesh Karmacharya
Journal:  JAMA Psychiatry       Date:  2020-07-01       Impact factor: 21.596

2.  Transcriptome analysis and functional characterization of cerebral organoids in bipolar disorder.

Authors:  Annie Kathuria; Kara Lopez-Lengowski; Magdalena Vater; Donna McPhie; Bruce M Cohen; Rakesh Karmacharya
Journal:  Genome Med       Date:  2020-04-19       Impact factor: 11.117

3.  Comprehensive Metabolic Phenotyping Refines Cardiovascular Risk in Young Adults.

Authors:  Venkatesh L Murthy; Ravi V Shah; Jared P Reis; Alexander R Pico; Robert Kitchen; Joao A C Lima; Donald Lloyd-Jones; Norrina B Allen; Mercedes Carnethon; Gregory D Lewis; Matthew Nayor; Ramachandran S Vasan; Jane E Freedman; Clary B Clish
Journal:  Circulation       Date:  2020-10-19       Impact factor: 29.690

4.  Integrating stem cell-based experiments in clinical research.

Authors:  Rakesh Karmacharya; Christian Kieling; Valeria Mondelli
Journal:  Eur Psychiatry       Date:  2020-06-15       Impact factor: 5.361

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.