Evidence map›Paper›PMID 35361785›Full record

ArticleTranslational psychiatry2022

Developing symptom clusters: linking inflammatory biomarkers to depressive symptom profiles.

Sabina I Franklyn, Jayme Stewart, Cecile Beaurepaire, Emily Thaw, Robyn J McQuaid

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in Translational psychiatry, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
2.1field-weighted citation impact, top 12% 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

21 citing papers in PubMed, 34 citations in OpenAlex.

  1. Ensemble clustering: A practical tutorial.Behavior research methods · 2026
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  13. Clustering and drivers of symptoms observed at week six after antidepressant treatment in depressed outpatients.European psychiatry : the journal of the Association of European Psychiatrists · 2025
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  16. Observational
  17. Review
  18. Neuroinflammation in the Amygdala Is Associated With Recent Depressive Symptoms.Biological psychiatry. Cognitive neuroscience and neuroimaging · 2023
    Article
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  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors at 2 institutions in 1 country.

Sabina I FranklynDepartment of Psychology, Carleton University, Ottawa, ON, Canada.ORCID 0000-0003-3352-0590
Jayme StewartDepartment of Psychology, Carleton University, Ottawa, ON, Canada.
Cecile BeaurepaireUniversity of Ottawa Institute of Mental Health Research, Ottawa, ON, Canada.
Emily ThawDepartment of Neuroscience, Carleton University, Ottawa, ON, Canada.
Robyn J McQuaidUniversity of Ottawa Institute of Mental Health Research, Ottawa, ON, Canada. Robyn.McQuaid@carleton.ca.ORCID 0000-0003-4242-3135
University of Ottawa · CACarleton University · CA

Funding

CIHR
6 · The paper itself

Abstract

Considering the burden of depression and the lack of efficacy of available treatments, there is a need for biomarkers to predict tailored or personalized treatments. However, identifying reliable biomarkers for depression has been challenging, likely owing to the vast symptom heterogeneity and high rates of comorbidity that exists. Examining biomarkers that map onto dimensions of depression as well as shared symptoms/constructs that cut across disorders could be most effective for informing personalized treatment approaches. With a sample of 539 young adults, we conducted a principal component analysis (PCA) followed by hierarchical cluster analysis to develop transdiagnostic clusters of depression and anxiety symptoms. We collected blood to assess whether neuroendocrine (cortisol) and inflammatory profiles (C-reactive protein (CRP), Interleukin (IL)-6, and tumor necrosis factor (TNF) - α) could be used to differentiate symptom clusters. Six distinct clusters were identified that differed significantly on symptom dimensions including somatic anxiety, general anxiety, anhedonia, and neurovegetative depression. Moreover, the neurovegetative depression cluster displayed significantly elevated CRP levels compared to other clusters. In fact, inflammation was not strongly associated with overall depression scores or severity, but rather related to specific features of depression marked by eating, appetite, and tiredness. This study emphasizes the importance of characterizing the biological underpinnings of symptom dimensions and subtypes to better understand the etiology of complex mental health disorders such as depression.

Indexed as

AnxietyDepressionBiomarkersC-Reactive ProteinHumansSyndromeYoung AdultBiomarkersC-Reactive Protein

Identifiers

PMID35361785
PMCPMC8971490
OpenAlexW4220700883

What OpenQuestion holds

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LicenceCC BY
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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.