• Profile
Close

A systematic review and meta-analysis of lipid metabolomic signatures of major depressive disorder

Journal of Psychiatric Research May 28, 2021

Bharti V, Bhardwaj A, Hood H, et al. - Via performing this meta-analysis, researchers sought to comprehensively synthesize the evidence examining biomarker signatures in MDD patients including lipids, lipid regulatory proteins (LRP), and polyunsaturated fatty acid (PUFA) as compared to healthy individuals. Searching Embase, Ovid Medline, Scopus, PsycINFO, PubMed, and Cochrane databases, they identified 30 studies for inclusion. Relative to controls, MDD patients had higher levels of lipid parameter triglyceride (TG) and omega-6 PUFA arachidonic acid (AA) and lower levels of lipid parameters total cholesterol (TC) and very low-density lipoprotein (VLDL). In subgroup analysis for age, lower levels of high-density lipoprotein (HDL) was recorded in ≥ 40-year age group and lower levels of TC was recorded in MDD patients in studies from Asian countries. All subgroups in MDD patients showed high TG levels relative to controls. Meta-regression analysis revealed a negative association between TC levels and use of lipid lowering medications and a positive association between smoking and LDL levels. This study will be valuable for physicians when considering the assessment of lipid, LRP, and PUFA profiles in MDD patients to lower the cardiovascular morbidity and mortality.

Go to Original
Only Doctors with an M3 India account can read this article. Sign up for free or login with your existing account.
4 reasons why Doctors love M3 India
  • Exclusive Write-ups & Webinars by KOLs

  • Nonloggedininfinity icon
    Daily Quiz by specialty
  • Nonloggedinlock icon
    Paid Market Research Surveys
  • Case discussions, News & Journals' summaries
Sign-up / Log In
x
M3 app logo
Choose easy access to M3 India from your mobile!


M3 instruc arrow
Add M3 India to your Home screen
Tap  Chrome menu  and select "Add to Home screen" to pin the M3 India App to your Home screen
Okay