Evidence map›Paper›PMID 31375659›Full record

Trial reportTranslational psychiatry2019

Biomarkers for response in major depression: comparing paroxetine and venlafaxine from two randomised placebo-controlled clinical studies.

Lucia Carboni, Dennis J McCarthy, Bruno Delafont, Michele Filosi, Elena Ivanchenko, Emiliangelo Ratti, Susan M Learned, Robert Alexander, Enrico Domenici

Open access · goldAbstract readComparative StudyRandomized Controlled Trial
In one paragraph

Trial report in Translational psychiatry, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed, 2 pooled it
3.4field-weighted citation impact, top 7% 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

40 citing papers in PubMed, 2 syntheses or guidelines pooled it, 80 citations in OpenAlex.

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  18. Use of Serum Biomarkers to Aid Antidepressant Selection in Depressive Patients.Clinical psychopharmacology and neuroscience : the official scientific journal of the Korean College of Neuropsychopharmacology · 2024
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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

9 authors at 5 institutions in 3 countries.

Lucia CarboniDepartment of Pharmacy and Biotechnology, Alma Mater Studiorum University of Bologna, Bologna, Italy.ORCID http://orcid.org/0000-0001-9335-3312
Dennis J McCarthyIndipendent Consultant, Clinical Pharmacology and Translational Science, Newark, DE, USA.
Bruno DelafontDelafont Statistics, Alençon, France.
Michele FilosiDepartment of Cellular, Computational and Integrative Biology, University of Trento, Trento, Italy.
Elena IvanchenkoLeadiant GmbH, München, Germany.
Emiliangelo RattiNeuroscience Therapeutic Area Unit, Takeda, Boston, MA, USA.
Susan M LearnedGlobal Medicines Development, Indivior, Inc., Richmond, VA, USA.
Robert AlexanderNeuroscience Therapeutic Area Unit, Takeda, Boston, MA, USA.
Enrico DomeniciDepartment of Cellular, Computational and Integrative Biology, University of Trento, Trento, Italy. enrico.domenici@unitn.it.ORCID http://orcid.org/0000-0001-7436-6919
Takeda (United States) · USUniversity of Trento · ITCoriant (Germany) · DEIndivior (United States) · USUniversity of Bologna · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The identification of biomarkers of response might speed drug development and set the premises to assist clinical practice in psychiatry. In this work, we evaluated a panel of peripheral biomarkers (including IL-6, IL-10, TNF-α, TNFRII, BDNF, CRP, MMP9 and PAI1) in depressed patients receiving paroxetine, venlafaxine, or placebo. Samples were obtained from two randomised placebo-controlled studies evaluating the efficacy and tolerability of a novel drug candidate, using either paroxetine or venlafaxine as active comparators. In both studies, the biomarker candidates were analysed in plasma collected at randomization and after 10 weeks of treatment with either placebo or active comparator (for a total of 106 and 108 subjects in the paroxetine and venlafaxine study, respectively). Data were obtained by multiplexing sandwich-ELISA system. Data were subjected to statistical analysis to assess their correlation with baseline severity and with response outcome. Increases in biomarker levels were correlated with reduction in depression severity for TNF-α, IL-6 IL-10 and CRP. Response to paroxetine treatment correlated with baseline IL-10, IL-6 and TNF-α levels, with the strongest signal being observed in males. In the venlafaxine study, a correlation was observed only between CRP level at randomisation and response, suggesting differences between the two active treatments and the two studies. Our investigations suggest that a combination of pro- and anti-inflammatory cytokines may predict response outcome in patients treated with paroxetine. The potential for IL-10, IL-6 and TNF-α as response biomarkers for a wider range of antidepressants warrants further investigations in clinical trials with other monoamine reuptake inhibitors.

Indexed as

AdultBiomarkersC-Reactive ProteinFemaleHumansInterleukin-10Interleukin-6Major Depressive DisorderMaleMiddle AgedParoxetineTreatment OutcomeTumor Necrosis Factor-alphaVenlafaxine HydrochlorideYoung AdultBiomarkersC-Reactive ProteinInterleukin-10Interleukin-6ParoxetineTumor Necrosis Factor-alphaVenlafaxine Hydrochloride

Identifiers

PMID31375659
PMCPMC6677721
OpenAlexW2966801570

What Socratic 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 Socratic graph.