Evidence map›Paper›PMID 38584764›Full record

ArticleComplex psychiatry

Comprehensive Sex-Stratified Genetic Analysis of 28 Blood Biomarkers and Depression Reveals a Significant Association between Depression and Low Levels of Total Protein in Females.

Jacqueline Kiewa, Samantha Meltzer-Brody, Jeannette Milgrom, Jerry Guintivano, Ian B Hickie, David C Whiteman, Catherine M Olsen, Sarah E Medland, Nicholas G Martin, Naomi R Wray and 1 more

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Article in Complex psychiatry. 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 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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.

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

4 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors.

Jacqueline KiewaChild Health Research Centre, University of Queensland, Brisbane, QLD, Australia.
Samantha Meltzer-BrodyDepartment of Psychiatry, University of North Carolina, Chapel Hill, NC, USA.
Jeannette MilgromParent-Infant Research Institute, Austin Health, Melbourne, VIC, Australia.
Jerry GuintivanoDepartment of Psychiatry, University of North Carolina, Chapel Hill, NC, USA.
Ian B HickieBrain and Mind Centre, University of Sydney, Sydney, NSW, Australia.
David C WhitemanQIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia.
Catherine M OlsenQIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia.
Sarah E MedlandQIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia.
Nicholas G MartinQIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia.
Naomi R WrayInstitute for Molecular Bioscience, University of Queensland, Brisbane, QLD, Australia.
Enda M ByrneChild Health Research Centre, University of Queensland, Brisbane, QLD, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Major depression (MD) is more common amongst women than men, and MD episodes have been associated with fluctuations in reproductive hormones amongst women. To investigate biological underpinnings of heterogeneity in MD, the associations between depression, stratified by sex and including perinatal depression (PND), and blood biomarkers, using UK Biobank (UKB) data, were evaluated, and extended to include the association of depression with biomarker polygenic scores (PGS), generated as proxy for each biomarker. Method: Using female ( Results: Depression in females was significantly associated with levels of twelve biomarkers, including total protein (OR = 0.90, CI = [0.86, 0.94], Discussion and Conclusion: Multiple lines of evidence from genetic analysis highlight an association between total serum protein levels and depression in females. Further research involving prospective measurement of total protein and depressive symptoms is warranted.

Indexed as

BiomarkerGenetic correlationGWASMajor depressionPerinatal depressionPolygenic scoresSex stratification

Identifiers

PMID38584764
PMCPMC10997320

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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.