Evidence map›Paper›PMID 28628884›Full record

Trial reportJournal of psychiatric research2017

Proteomics profiling reveals inflammatory biomarkers of antidepressant treatment response: Findings from the CO-MED trial.

Bharathi S Gadad, Manish K Jha, Bruce D Grannemann, Taryn L Mayes, Madhukar H Trivedi

Open access · greenAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Journal of psychiatric research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 2 pooled it
1.2field-weighted citation impact, top 25% of its field
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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

18 citing papers in PubMed, 2 syntheses or guidelines pooled it, 29 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Biomarker-Guided Tailored Therapy in Major Depression.Advances in experimental medicine and biology · 2024
    Review
  5. Review
  6. Article
  7. Observational
  8. Article
  9. Article
  10. Article
  11. Peripheral Markers of Depression.Journal of clinical medicine · 2020
    Review
  12. Article
  13. Article
  14. Article
  15. Review
  16. Review
  17. Article
  18. Article
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

5 authors at 1 institution in 1 country.

Bharathi S GadadUT Southwestern Medical Center, Center for Depression Research and Clinical Care, Department of Psychiatry, Dallas, TX, USA.
Manish K JhaUT Southwestern Medical Center, Center for Depression Research and Clinical Care, Department of Psychiatry, Dallas, TX, USA.
Bruce D GrannemannUT Southwestern Medical Center, Center for Depression Research and Clinical Care, Department of Psychiatry, Dallas, TX, USA.
Taryn L MayesUT Southwestern Medical Center, Center for Depression Research and Clinical Care, Department of Psychiatry, Dallas, TX, USA.
Madhukar H TrivediUT Southwestern Medical Center, Center for Depression Research and Clinical Care, Department of Psychiatry, Dallas, TX, USA. Electronic address: madhukar.trivedi@utsouthwestern.edu.
Southwestern Medical Center · US

Funding

TREATMENT RESISTANT DEPRESSION-278990003N01MH090003 · NIMH · UNIVERSITY OF TEXAS SW MED CTR/DALLAS · 1999 to 2003
–
NIMH NIH HHS N01 MH090003
6 · The paper itself

Abstract

Animal and human studies suggest an association between depression and aberrant immune response. Further, common inflammatory markers may change during the course of antidepressant treatment in patients. The objective of this study was to evaluate changes in inflammatory markers and clinical outcomes from subjects enrolled in the Combining Medications to Enhance Depression Outcome (CO-MED) trial. At baseline and week 12 (treatment completion), plasma samples of 102 participants were analyzed via a multiplex assay comprised of inflammatory markers using a 27-plex standard assay panel plus a 4-plex human acute phase xMAP technology based platform. We carried out analyses in two steps. First, t-tests were used to identify inflammatory marker levels that changed between baseline and week 12. For markers that were altered, logistic regression models were then conducted to look for associated changes in remission at week 12. Among the 31 inflammatory markers analyzed, several cytokines (IL-5, IFN-γ, IL-13), two chemokines (Eotaxin-1/CCL11, RANTES) and an acute-phase reactant (serum amyloid P component) showed change from baseline to week 12. However, only two indicated differential remission responses. Interestingly, increased levels of Eotaxin-1/CCL11 correlated with remission at week 12, whereas decreased levels of IFN-γ correlated with non-remission at week 12. Results suggest that these inflammatory proteins may serve as predictors of treatment response.

Indexed as

AdultAntidepressive AgentsBiomarkersChemokine CCL11CytokinesFemaleHumansInflammationInterferon-gammaMajor Depressive DisorderMaleMiddle AgedProteomeProteomicsRemission InductionSerum Amyloid P-ComponentAntidepressive AgentsBiomarkersCCL11 protein, humanChemokine CCL11CytokinesInterferon-gammaProteomeSerum Amyloid P-ComponentAntidepressantCytokineEotaxin-1/CCL11IFN-γMultiplexPredictor

Identifiers

PMID28628884
PMCPMC5804347
OpenAlexW2618672386

What OpenQuestion holds

Textmetadata
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Read underepoch 390

Registered trials

None linked

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.