Evidence map›Paper›PMID 34294869›Full record

ArticleCommunications biology2021

Metabolomic signatures associated with depression and predictors of antidepressant response in humans: A CAN-BIND-1 report.

Giorgia Caspani, Gustavo Turecki, Raymond W Lam, Roumen V Milev, Benicio N Frey, Glenda M MacQueen, Daniel J Müller, Susan Rotzinger, Sidney H Kennedy, Jane A Foster and 1 more

Registry-linked trialAbstract read
In one paragraph

Article in Communications biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05017311 (Optimized Predictive Treatment In Medications for Unipolar Major Depression), which is not on this map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT05017311 phase4recruitingnot on this mapstarted 2023, after this paper: background citation

Optimized Predictive Treatment In Medications for Unipolar Major Depression (OPTIMUM-D)

TypeinterventionalSponsorNova Scotia Health AuthorityRan2023 to 2029Enrolled400ConditionsMajor Depressive DisorderArmsEscitalopram, Brexpiprazole
3 · Its place in the literature

Who cites it

24 citing papers in PubMed.

  1. Towards causal inference-based antidepressant selection with brain and blood biomarkers.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2026
    Trial
  2. Trial
  3. Article
  4. Article
  5. Sex-specific Serum Biomarker Associations with Antidepressant Treatment Outcomes in Depressive Disorders.Clinical psychopharmacology and neuroscience : the official scientific journal of the Korean College of Neuropsychopharmacology · 2026
    Article
  6. Gender Differences and Comorbidities in Major Depression.Advances in experimental medicine and biology · 2026
    Review
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. The researcher's guide to selecting biomarkers in mental health studies.BioEssays : news and reviews in molecular, cellular and developmental biology · 2024
    Review
  16. Review
  17. Article
  18. Article
  19. Article
  20. Predicting treatment outcome in depression: an introduction into current concepts and challenges.European archives of psychiatry and clinical neuroscience · 2023
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Giorgia CaspaniDepartment of Metabolism, Digestion and Reproduction, Imperial College London, London, UK.ORCID 0000-0003-1697-1437
Gustavo TureckiDepartment of Psychiatry, McGill University, Montreal, QC, Canada.ORCID 0000-0003-4075-2736
Raymond W LamDepartment of Psychiatry, University of British Columbia, Vancouver, BC, Canada.ORCID 0000-0001-7142-4669
Roumen V MilevDepartment of Psychiatry, Queen's University, Kingston, ON, Canada.ORCID 0000-0001-6884-171X
Benicio N FreyDepartment of Psychiatry & Behavioral Neurosciences, McMaster University, Hamilton, ON, Canada.ORCID 0000-0001-8267-943X
Glenda M MacQueenHotchkiss Brain Institute, University of Calgary, Calgary, AL, Canada.
Daniel J MüllerPharmacogenetics Research Clinic, Centre for Addiction and Mental Health, Toronto, ON, Canada.
Susan RotzingerDepartment of Psychiatry, University of Toronto, Toronto, ON, Canada.
Sidney H KennedyDepartment of Psychiatry, University of Toronto, Toronto, ON, Canada.
Jane A FosterDepartment of Psychiatry & Behavioral Neurosciences, McMaster University, Hamilton, ON, Canada.ORCID 0000-0002-8579-4705
Jonathan R SwannDepartment of Metabolism, Digestion and Reproduction, Imperial College London, London, UK. j.swann@soton.ac.uk.ORCID 0000-0002-6485-4529

Funding

Department of Health MC_PC_12025Medical Research Council MR/N014103/1
6 · The paper itself

Abstract

One of the biggest challenges in treating depression is the heterogeneous and qualitative nature of its clinical presentations. This highlights the need to find quantitative molecular markers to tailor existing treatment strategies to the individual's biological system. In this study, high-resolution metabolic phenotyping of urine and plasma samples from the CAN-BIND study collected before treatment with two common pharmacological strategies, escitalopram and aripiprazole, was performed. Here we show that a panel of LDL and HDL subfractions were negatively correlated with depression in males. For treatment response, lower baseline concentrations of apolipoprotein A1 and HDL were predictive of escitalopram response in males, while higher baseline concentrations of apolipoprotein A2, HDL and VLDL subfractions were predictive of aripiprazole response in females. These findings support the potential of metabolomics in precision medicine and the possibility of identifying personalized interventions for depression.

Indexed as

AdultApolipoprotein A-IApolipoprotein A-IICholesterol, HDLCholesterol, LDLCholesterol, VLDLDepressionFemaleHumansMaleMetabolomeMiddle AgedPlasmaSex FactorsUrineYoung AdultApolipoprotein A-IApolipoprotein A-IICholesterol, HDLCholesterol, LDLCholesterol, VLDL

Identifiers

PMID34294869
PMCPMC8298446

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.