4.7 Article

Metabolomics Profile in Depression: A Pooled Analysis of 230 Metabolic Markers in 5283 Cases With Depression and 10,145 Controls

期刊

BIOLOGICAL PSYCHIATRY
卷 87, 期 5, 页码 409-418

出版社

ELSEVIER SCIENCE INC
DOI: 10.1016/j.biopsych.2019.08.016

关键词

Biomarkers; Cardiovascular; Depression; Metabolites; Metabolomics; Pooled analysis

资金

  1. BBMRI-NL - Dutch government through Netherlands Organisation for Scientific Research (NWO) [184.021.007, 184033111]
  2. Geestkracht program of the Netherlands Organisation for Health Research and Development [10-000-1002]
  3. VU University Medical Center
  4. GGZ inGeest
  5. Leiden University Medical Center
  6. Leiden University
  7. GGZ Rivierduinen
  8. University Medical Center Groningen
  9. University of Groningen
  10. Lentis
  11. GGZ Friesland
  12. GGZ Drenthe
  13. Rob Giel Onderzoekscentrum
  14. NWO [940-35-034, 480-15-001/674, 047.017.043, 016.178.056, 864.13.013]
  15. Dutch Diabetes Research Foundation [98.901]
  16. Maastricht University Medical Center+
  17. Netherlands Organisation for Health Research and Development [91711319]
  18. Centre for Medical Systems Biology
  19. Netherlands Consortium for Systems Biology
  20. Seventh Framework Programme EU project EUROHEADPAIN [602633]
  21. Leiden University, Research Profile Area Vascular and Regenerative Medicine
  22. Dutch Science Organization (ZonMW-VENI) [916.14.023]
  23. European Regional Development Fund via OP-Zuid
  24. Province of Limburg
  25. Dutch Ministry of Economic Affairs [31O.041]
  26. Stichting De Weijerhorst
  27. Pearl String Initiative Diabetes
  28. Cardiovascular Center
  29. Cardiovascular Research Institute Maastricht
  30. School for Public Health and Primary Care
  31. School for Nutrition, Toxicology and Metabolism
  32. Stichting Annadal
  33. Health Foundation Limburg
  34. JanssenCilag B.V.
  35. Novo Nordisk Farma B.V.
  36. Sanofi-Aventis Netherlands B.V.
  37. NWO
  38. MagW/ZonMW [904-61-090, 985-10-002, 904-61-193, 480-04004, l400-05-717, Addiction-31160008, Middelgroot-911-09-032, Spinozapremie 56-464-14192]
  39. BBMRI-NL [184.021.007]
  40. European Community's Seventh Framework Programme (2007-2013) ENGAGE [HEALTH-F4-2007-201413]
  41. European Science Council (ERC) [230374]
  42. Rutgers University Cell and DNA Repository (National Institute of Mental Health) [U24 MH068457-06]
  43. Avera Institute
  44. National Institutes of Health [R01D0042157-01A, MH081802, 1RC2 MH089951]
  45. European Commission FP6 STRP [018947 (LSHG-CT-2006-01947)]
  46. European Community's Seventh Framework Programme (2007-2013) by the European Commission under the program Quality of Life and Management of the Living Resources of Fifth Framework Programme [HEALTH-F42007-201413, QLG2-CT-2002-01254]
  47. Russian Foundation for Basic Research [047.017.043]
  48. Erasmus Medical Center
  49. Netherlands Organisation for the Health Research and Development
  50. Research Institute for Diseases in the Elderly
  51. Ministry of Education, Culture and Science
  52. Ministry for Health, Welfare and Sports
  53. European Commission (DG XII)
  54. Municipality of Rotterdam
  55. CardioVasculair Onderzoek Nederland [2012-03]
  56. European Science Council [715772]
  57. Graduate School of Medical Sciences, University of Groningen
  58. Erasmus University, Rotterdam

向作者/读者索取更多资源

BACKGROUND: Depression has been associated with metabolic alterations, which adversely impact cardiometabolic health. Here, a comprehensive set of metabolic markers, predominantly lipids, was compared between depressed and nondepressed persons. METHODS: Nine Dutch cohorts were included, comprising 10,145 control subjects and 5283 persons with depression, established with diagnostic interviews or questionnaires. A proton nuclear magnetic resonance metabolomics platform provided 230 metabolite measures: 51 lipids, fatty acids, and low-molecular-weight metabolites; 98 lipid composition and particle concentration measures of lipoprotein subclasses; and 81 lipid and fatty acids ratios. For each metabolite measure, logistic regression analyses adjusted for gender, age, smoking, fasting status, and lipid-modifying medication were performed within cohort, followed by random-effects meta-analyses. RESULTS: Of the 51 lipids, fatty acids, and low-molecular-weight metabolites, 21 were significantly related to depression (false discovery rate q < .05). Higher levels of apolipoprotein B, very-low-density lipoprotein cholesterol, triglycerides, diglycerides, total and monounsaturated fatty acids, fatty acid chain length, glycoprotein acetyls, tyrosine, and isoleucine and lower levels of high-density lipoprotein cholesterol, acetate, and apolipoprotein Al were associated with increased odds of depression. Analyses of lipid composition indicators confirmed a shift toward less high-density lipoprotein and more very-low-density lipoprotein and triglyceride particles in depression. Associations appeared generally consistent across gender, age, and body mass index strata and across cohorts with depressive diagnoses versus symptoms. CONCLUSIONS: This large-scale meta-analysis indicates a clear distinctive profile of circulating lipid metabolites associated with depression, potentially opening new prevention or treatment avenues for depression and its associated cardiometabolic comorbidity.

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