Evidence map›Paper›PMID 32998701›Full record

ArticleBMC psychiatry2020

Cerebrospinal fluid proteome evaluation in major depressive disorder by mass spectrometry.

Avery D Franzen, Tukiet T Lam, Kenneth R Williams, Angus C Nairn, Ronald S Duman, Monica Sathyanesan, Vikas Kumar, Linda L Carpenter, Samuel S Newton

Open access · goldAbstract read
In one paragraph

Article in BMC psychiatry, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
0.6field-weighted citation impact, top 40% 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

12 citing papers in PubMed, 22 citations in OpenAlex.

  1. Plasma proteomic profile of inflammatory depressive symptoms.Brain, behavior, & immunity - health · 2026
    Article
  2. Article
  3. Review
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  5. Article
  6. Review
  7. Annual Research Review: Neuroimmune network model of depression: a developmental perspective.Journal of child psychology and psychiatry, and allied disciplines · 2024
    Review
  8. Article
  9. Review
  10. Review
  11. Article
  12. Peripheral signature of altered synaptic integrity in young onset cannabis use disorder: A proteomic study of circulating extracellular vesicles.The world journal of biological psychiatry : the official journal of the World Federation of Societies of Biological Psychiatry
    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

9 authors at 5 institutions in 1 country.

Avery D FranzenBasic Biomedical Science Department, University of South Dakota, 414 E Clark St, Vermillion, SD, 57069, USA.
Tukiet T LamYale/Keck MS & Proteomics Resource, 300 George Street, Ste G001, New Haven, CT, 06511, USA.
Kenneth R WilliamsYale/NIDA Neuroproteomics Center, 300 George Street, New Haven, CT, 06511, USA.
Angus C NairnYale/NIDA Neuroproteomics Center, 300 George Street, New Haven, CT, 06511, USA.
Ronald S DumanYale Psychiatry, 34 Park Street, New Haven, CT, 06508, USA.
Monica SathyanesanBasic Biomedical Science Department, University of South Dakota, 414 E Clark St, Vermillion, SD, 57069, USA.
Vikas KumarMass Spectrometry & Proteomics Core Facility, University of Nebraska Medical Center, 985875 Nebraska Medical Center, Omaha, NE, 68198, USA.
Linda L CarpenterBrown Department of Psychiatry and Human Behavior, Butler Hospital, 345 Blackstone Boulevard, Providence, RI, 02906, USA.
Samuel S NewtonBasic Biomedical Science Department, University of South Dakota, 414 E Clark St, Vermillion, SD, 57069, USA. samuel.sathyanesan@usd.edu.ORCID 0000-0003-0525-1565
University of South Dakota · USYale University · USProvidence College · USUniversity of Nebraska Medical Center · USW. M. Keck Foundation · US

Funding

Yale/NIDA Neuroproteomics Research CenterP30DA018343 · NIDA · YALE UNIVERSITY · PI ANGUS C. NAIRN, Kenneth Robert WILLIAMS · 2004 to 2026
$37.1M
Trophic Factors in CognitionR01MH106640 · NIMH · UNIVERSITY OF SOUTH DAKOTA · PI SATHYANESAN, SAMUEL NEWTON · 2016 to 2025
$3.7M
NIDA NIH HHS P30 DA018343NIMH NIH HHS R01 MH106640U.S. Public Health Service DA018343U.S. Public Health Service MH106640
6 · The paper itself

Abstract

backgroundDepression affects approximately 7.1% of the United States population every year and has an annual economic burden of over $210 billion dollars. Several recent studies have sought to investigate the pathophysiology of depression utilizing focused cerebrospinal fluid (CSF) and serum analysis. Inflammation and metabolic dysfunction have emerged as potential etiological factors from these studies. A dysregulation in the levels of inflammatory proteins such as IL-12, TNF, IL-6 and IFN-γ have been found to be significantly correlated with depression.

methodsCSF samples were obtained from 15 patients, seven with major depressive disorder and eight age- and gender-matched non-psychiatric controls. CSF protein profiles were obtained using quantitative mass spectrometry. The data were analyzed by Progenesis QI proteomics software to identify significantly dysregulated proteins. The results were subjected to bioinformatics analysis using the Ingenuity Pathway Analysis suite to obtain unbiased mechanistic insight into biologically relevant interactions and pathways.

resultsSeveral dysregulated proteins were identified. Bioinformatics analysis indicated that the potential disorder/disease pathways include inflammatory response, metabolic disease and organismal injury. Molecular and cellular functions that were affected include cellular compromise, cell-to-cell signaling & interaction, cellular movement, protein synthesis, and cellular development. The major canonical pathway that was upregulated was acute phase response signaling. Endogenous upstream regulators that may influence dysregulation of proinflammatory molecules associated with depression are interleukin-6 (IL-6), signal transducer and activator of transcription 3 (STAT3), oncostatin M, PR domain zinc finger protein 1 (PRDM1), and peroxisome proliferator-activated receptor gamma coactivator 1-alpha (PPARGC1A).

conclusionsThe proteome profiling data in this report identifies several potential biological functions that may be involved in the pathophysiology of major depressive disorder. Future research into how the differential expression of these proteins is involved in the etiology and severity of depression will be important.

Indexed as

Major Depressive DisorderProteomeGene Expression ProfilingHumansMass SpectrometryProteomicsProteomeCerebrospinal fluidDepressionInflammationInterleukin 6Label free quantitationMajor depressive disorderMetabolismOncostatin MProteomicsSTAT3

Identifiers

PMID32998701
PMCPMC7528485
OpenAlexW3123127816

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.