Evidence map›Paper›PMID 28912679›Full record

ArticleFrontiers in molecular neuroscience2017

Proteomic Differences in Blood Plasma Associated with Antidepressant Treatment Response.

Christoph W Turck, Paul C Guest, Giuseppina Maccarrone, Marcus Ising, Stefan Kloiber, Susanne Lucae, Florian Holsboer, Daniel Martins-de-Souza

Open access · goldAbstract read
In one paragraph

Article in Frontiers in molecular neuroscience, 2017. 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
0.4field-weighted citation impact, top 43% 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, 25 citations in OpenAlex.

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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

8 authors at 1 institution in 1 country.

Christoph W TurckMax Planck Institute of PsychiatryMunich, Germany.
Paul C GuestLaboratory of Neuroproteomics, Department of Biochemistry and Tissue Biology, Institute of Biology, University of CampinasCampinas, Brazil.
Giuseppina MaccarroneMax Planck Institute of PsychiatryMunich, Germany.
Marcus IsingMax Planck Institute of PsychiatryMunich, Germany.
Stefan KloiberMax Planck Institute of PsychiatryMunich, Germany.
Susanne LucaeMax Planck Institute of PsychiatryMunich, Germany.
Florian HolsboerMax Planck Institute of PsychiatryMunich, Germany.
Daniel Martins-de-SouzaLaboratory of Neuroproteomics, Department of Biochemistry and Tissue Biology, Institute of Biology, University of CampinasCampinas, Brazil.
Max Planck Institute of Psychiatry · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The current inability of clinical psychiatry to objectively select the most appropriate treatment is a major factor contributing to the severity and clinical burden of major depressive disorder (MDD). Here, we have attempted to identify plasma protein signatures in 39 MDD patients to predict response over a 6-week treatment period with antidepressants. LC-MS/MS analysis showed that differences in the levels of 29 proteins at baseline were found in the group with a favorable treatment outcome. Most of these proteins were components of metabolism or immune response pathways as well as multiple components of the coagulation cascade. After 6 weeks of treatment, 43 proteins were altered in responders of which 2 (alpha-actinin and nardilysin) had been identified at baseline. In addition, 46 proteins were altered in non-responders and 9 of these (alpha-actinin, alpha-2-macroglobulin, apolipoprotein B-100, attractin, C-reactive protein, fibrinogen alpha chain, fibrinogen beta chain, nardilysin and serine/threonine-protein kinase Chk1) had been identified at baseline. However, it should be stressed that the small sample size precludes generalization of the main results. Further studies to validate these as potential biomarkers of antidepressant treatment response are warranted considering the potential importance to the field of psychiatric disorders. This study provides the groundwork for development of novel objective clinical tests that can help psychiatrists in the clinical management of MDD through improved prediction and monitoring of patient responses to antidepressant treatments.

Indexed as

antidepressantbiomarkermajor depressive disordermass spectrometryplasmaresponsesymptom

Identifiers

PMID28912679
PMCPMC5583163
OpenAlexW2753281823

What OpenQuestion holds

Textmetadata
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.