Malhi GS, Mann JJ. Depression. Lancet. 2018;392:2299–312.
Arias-de la Torre J, Vilagut G, Ronaldson A, Serrano-Blanco A, Martín V, Peters M, et al. Prevalence and variability of current depressive disorder in 27 European countries: a population-based study. Lancet Public Health. 2021;6:e729–38.
Article PubMed PubMed Central Google Scholar
Goodwin RD, Dierker LC, Wu M, Galea S, Hoven CW, Weinberger AH. Trends in U.S. depression prevalence from 2015 to 2020: the widening treatment gap. Am J Prev Med. 2022;63:726–33.
Article PubMed PubMed Central Google Scholar
Vigo D, Thornicroft G, Atun R. Estimating the true global burden of mental illness. Lancet Psychiatry. 2016;3:171–8.
Marx W, Penninx BWJH, Solmi M, Furukawa TA, Firth J, Carvalho AF, et al. Major depressive disorder. Nat Rev Dis Primers. 2023;9:44.
Tian H, Hu Z, Xu J, Wang C. The molecular pathophysiology of depression and the new therapeutics. MedComm. 2022;3:e156.
Article CAS PubMed PubMed Central Google Scholar
Harmer CJ, Duman RS, Cowen PJ. How do antidepressants work? New perspectives for refining future treatment approaches. Lancet Psychiatry. 2017;4:409–18.
Article PubMed PubMed Central Google Scholar
Villas Boas GR, Boerngen de Lacerda R, Paes MM, Gubert P, Almeida WLDC, Rescia VC, et al. Molecular aspects of depression: a review from neurobiology to treatment. Eur J Pharmacol. 2019;851:99–121.
Article CAS PubMed Google Scholar
Suhre K, McCarthy MI, Schwenk JM. Genetics meets proteomics: perspectives for large population-based studies. Nat Rev Genet. 2021;22:19–37.
Article CAS PubMed Google Scholar
Nedic Erjavec G, Konjevod M, Nikolac Perkovic M, Svob Strac D, Tudor L, Barbas C, et al. Short overview on metabolomic approach and redox changes in psychiatric disorders. Redox Biol. 2018;14:178–86.
Article CAS PubMed Google Scholar
Zheng P, Gao HC, Li Q, Shao WH, Zhang ML, Cheng K, et al. Plasma metabonomics as a novel diagnostic approach for major depressive disorder. J Proteome Res. 2012;11:1741–8.
Article CAS PubMed Google Scholar
Xu HB, Zhang RF, Luo D, Zhou Y, Wang Y, Fang L, et al. Comparative proteomic analysis of plasma from major depressive patients: identification of proteins associated with lipid metabolism and immunoregulation. Int J Neuropsychopharmacol. 2012;15:1413–25.
Article CAS PubMed Google Scholar
Tkachev A, Stekolshchikova E, Vanyushkina A, Zhang H, Morozova A, Zozulya S, et al. Lipid alteration signature in the blood plasma of individuals with schizophrenia, depression, and bipolar disorder. JAMA Psychiatry. 2023;80:250–9.
Article PubMed PubMed Central Google Scholar
Ogawa S, Koga N, Hattori K, Matsuo J, Ota M, Hori H, et al. Plasma amino acid profile in major depressive disorder: analyses in two independent case-control sample sets. J Psychiatr Res. 2018;96:23–32.
Caspani G, Turecki G, Lam RW, Milev RV, Frey BN, MacQueen GM, et al. Metabolomic signatures associated with depression and predictors of antidepressant response in humans: a CAN-BIND-1 report. Commun Biol. 2021;4:903.
Article CAS PubMed PubMed Central Google Scholar
Silva-Costa LC, Smith BJ, Carregari VC, Souza GHMF, Vieira EM, Mendes-Silva AP, et al. Plasma proteomic signature of major depressive episode in the elderly. J Proteom. 2022;269:104713.
Bot M, Milaneschi Y, Al-Shehri T, Amin N, Garmaeva S, Onderwater GLJ, et al. Metabolomics profile in depression: a pooled analysis of 230 metabolic markers in 5283 cases with depression and 10,145 controls. Biol Psychiatry. 2020;87:409–18.
Article CAS PubMed Google Scholar
Pu J, Liu Y, Zhang H, Tian L, Gui S, Yu Y, et al. An integrated meta-analysis of peripheral blood metabolites and biological functions in major depressive disorder. Mol Psychiatry. 2021;26:4265–76.
Article CAS PubMed Google Scholar
Comes AL, Papiol S, Mueller T, Geyer PE, Mann M, Schulze TG. Proteomics for blood biomarker exploration of severe mental illness: pitfalls of the past and potential for the future. Transl Psychiatry. 2018;8:160.
Article PubMed PubMed Central Google Scholar
Guest PC, Guest FL, Martins-de Souza D. Making sense of blood-based proteomics and metabolomics in psychiatric research. Int J Neuropsychopharmacol. 2016;19:pyv138.
Romeo B, Choucha W, Fossati P, Rotge JY. Meta-analysis of central and peripheral γ-aminobutyric acid levels in patients with unipolar and bipolar depression. J Psychiatry Neurosci. 2018;43:58–66.
Arnone D, Saraykar S, Salem H, Teixeira AL, Dantzer R, Selvaraj S. Role of kynurenine pathway and its metabolites in mood disorders: a systematic review and meta-analysis of clinical studies. Neurosci Biobehav Rev. 2018;92:477–85.
Article CAS PubMed PubMed Central Google Scholar
Pan JX, Xia JJ, Deng FL, Liang WW, Wu J, Yin BM, et al. Diagnosis of major depressive disorder based on changes in multiple plasma neurotransmitters: a targeted metabolomics study. Transl Psychiatry. 2018;8:130.
Article PubMed PubMed Central Google Scholar
Goveia J, Pircher A, Conradi LC, Kalucka J, Lagani V, Dewerchin M, et al. Meta-analysis of clinical metabolic profiling studies in cancer: challenges and opportunities. EMBO Mol Med. 2016;8:1134–42.
Article CAS PubMed PubMed Central Google Scholar
Pu J, Liu Y, Gui S, Tian L, Yu Y, Song X, et al. Metabolomic changes in animal models of depression: a systematic analysis. Mol Psychiatry. 2021;26:7328–36.
Article CAS PubMed PubMed Central Google Scholar
Pu J, Liu Y, Gui S, Tian L, Yu Y, Wang D, et al. Effects of pharmacological treatment on metabolomic alterations in animal models of depression. Transl Psychiatry. 2022;12:175.
Article CAS PubMed PubMed Central Google Scholar
Pu J, Yu Y, Liu Y, Tian L, Gui S, Zhong X, et al. MENDA: a comprehensive curated resource of metabolic characterization in depression. Brief Bioinform. 2020;21:1455–64.
Article CAS PubMed Google Scholar
Pu J, Yu Y, Liu Y, Wang D, Gui S, Zhong X, et al. ProMENDA: an updated resource for proteomic and metabolomic characterization in depression. Transl Psychiatry. 2024;14:229.
Article CAS PubMed PubMed Central Google Scholar
Pang Z, Lu Y, Zhou G, Hui F, Xu L, Viau C, et al. MetaboAnalyst 6.0: towards a unified platform for metabolomics data processing, analysis and interpretation. Nucleic Acids Res. 2024;52:W398–W406.
Article PubMed PubMed Central Google Scholar
Fischer M, Hoffmann S. Synthesizing genome regulation data with vote-counting. Trends Genet. 2022;38:1208–16.
Article CAS PubMed Google Scholar
Rikke BA, Wynes MW, Rozeboom LM, Barón AE, Hirsch FR. Independent validation test of the vote-counting strategy used to rank biomarkers from published studies. Biomark Med. 2015;9:751–61.
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