Evidence map›Paper›PMID 27404283›Full record

ArticleTranslational psychiatry2016

Serum proteomic profiles of depressive subtypes.

F Lamers, M Bot, R Jansen, M K Chan, J D Cooper, S Bahn, B W J H Penninx

Open access · goldAbstract read
In one paragraph

Article in Translational psychiatry, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed, 3 pooled it
2.9field-weighted citation impact, top 9% 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

35 citing papers in PubMed, 3 syntheses or guidelines pooled it, 79 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Trial
  5. Plasma proteomic profile of inflammatory depressive symptoms.Brain, behavior, & immunity - health · 2026
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  7. Symptom-specific genetics reveal heterogeneity within major depressive disorder.medRxiv : the preprint server for health sciences · 2026
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  8. Review
  9. Obesity and Depression.Advances in experimental medicine and biology · 2026
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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

7 authors at 2 institutions in 2 countries.

F LamersDepartment of Psychiatry and EMGO Institute for Health and Care Research, VU University Medical Center, Amsterdam, The Netherlands.
M BotDepartment of Psychiatry and EMGO Institute for Health and Care Research, VU University Medical Center, Amsterdam, The Netherlands.
R JansenDepartment of Psychiatry and EMGO Institute for Health and Care Research, VU University Medical Center, Amsterdam, The Netherlands.ORCID 0000-0002-3333-6737
M K ChanDepartment of Chemical Engineering and Biotechnology, Institute of Biotechnology, University of Cambridge, Cambridge, UK.
J D CooperDepartment of Chemical Engineering and Biotechnology, Institute of Biotechnology, University of Cambridge, Cambridge, UK.
S BahnDepartment of Chemical Engineering and Biotechnology, Institute of Biotechnology, University of Cambridge, Cambridge, UK.
B W J H PenninxDepartment of Psychiatry and EMGO Institute for Health and Care Research, VU University Medical Center, Amsterdam, The Netherlands.
Amsterdam Public Health · NLUniversity of Cambridge · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Depression is a highly heterogeneous disorder. Accumulating evidence suggests biological and genetic differences between subtypes of depression that are homogeneous in symptom presentation. We aimed to evaluate differences in serum protein profiles between persons with atypical and melancholic depressive subtypes, and compare these profiles with serum protein levels of healthy controls. We used the baseline data from the Netherlands Study of Depression and Anxiety on 414 controls, 231 persons with a melancholic depressive subtype and 128 persons with an atypical depressive subtype for whom the proteomic data were available. Depressive subtypes were previously established using a data-driven analysis, and 171 serum proteins were measured on a multi-analyte profiling platform. Linear regression models were adjusted for several covariates and corrected for multiple testing using false discovery rate q-values. We observed differences in analytes between the atypical and melancholic subtypes (9 analytes, q<0.05) and between atypical depression and controls (23 analytes, q<0.05). Eight of the nine markers differing between the atypical and melancholic subtype overlapped with markers from the comparison between atypical subtype and controls (mesothelin, leptin, IGFBP1, IGFBP2, FABPa, insulin, C3 and B2M), and were mainly involved in cellular communication and signal transduction, and immune response. No markers differed significantly between the melancholic subtype and controls. To conclude, although some uncertainties exist in our results as a result of missing data imputation and lack of proteomic replication samples, many of the identified analytes are inflammatory or metabolic markers, which supports the notion of atypical depression as a syndrome characterized by metabolic disturbances and inflammation, and underline the importance and relevance of subtypes of depression in biological and genetic research, and potentially in the treatment of depression.

Indexed as

ProteomicsAdultbeta 2-MicroglobulinCase-Control StudiesComplement C3Depressive DisorderFatty Acid-Binding ProteinsFemaleGPI-Linked ProteinsHumansInsulinInsulin-Like Growth Factor Binding Protein 1Insulin-Like Growth Factor Binding Protein 2LeptinLinear ModelsMalebeta 2-MicroglobulinComplement C3Fatty Acid-Binding ProteinsGPI-Linked ProteinsIGFBP1 protein, humanIGFBP2 protein, humanInsulinInsulin-Like Growth Factor Binding Protein 1Insulin-Like Growth Factor Binding Protein 2LeptinMesothelin

Identifiers

PMID27404283
PMCPMC5545705
OpenAlexW2465907267

What OpenQuestion holds

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LicenceCC BY
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.