Evidence map›Paper›PMID 30859144›Full record

ArticlePersonalized medicine in psychiatry

Adiponectin Moderates Antidepressant Treatment Outcome in the Combining Medications to Enhance Depression Outcomes Randomized Clinical Trial.

Jennifer L Furman, Abigail Soyombo, Andrew H Czysz, Manish K Jha, Thomas J Carmody, Brittany L Mason, Philipp E Scherer, Madhukar H Trivedi

Abstract read
In one paragraph

Article in Personalized medicine in psychiatry. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.3field-weighted citation impact, top 24% 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

7 citing papers in PubMed, 16 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 2 institutions in 1 country.

Jennifer L Furman *Department of Psychiatry, Center for Depression Research and Clinical Care, UT Southwestern Medical Center, 6363 Forest Park Rd, Ste BL13.408, Dallas, TX, 75390-9119, USA.
Abigail Soyombo *Department of Psychiatry, Center for Depression Research and Clinical Care, UT Southwestern Medical Center, 6363 Forest Park Rd, Ste BL13.408, Dallas, TX, 75390-9119, USA.
Andrew H CzyszDepartment of Psychiatry, Center for Depression Research and Clinical Care, UT Southwestern Medical Center, 6363 Forest Park Rd, Ste BL13.408, Dallas, TX, 75390-9119, USA.
Manish K JhaDepartment of Psychiatry, Center for Depression Research and Clinical Care, UT Southwestern Medical Center, 6363 Forest Park Rd, Ste BL13.408, Dallas, TX, 75390-9119, USA.
Thomas J CarmodyDepartment of Psychiatry, Center for Depression Research and Clinical Care, UT Southwestern Medical Center, 6363 Forest Park Rd, Ste BL13.408, Dallas, TX, 75390-9119, USA.
Brittany L MasonDepartment of Psychiatry, Center for Depression Research and Clinical Care, UT Southwestern Medical Center, 6363 Forest Park Rd, Ste BL13.408, Dallas, TX, 75390-9119, USA.
Philipp E SchererDepartments of Internal Medicine and Cell Biology, Touchstone Diabetes Center University of Texas Southwestern Medical School, 5323 Harry Hines Blvd, Dallas, Texas, 75390-9119, USA.
Madhukar H TrivediDepartment of Psychiatry, Center for Depression Research and Clinical Care, UT Southwestern Medical Center, 6363 Forest Park Rd, Ste BL13.408, Dallas, TX, 75390-9119, USA.
Southwestern Medical Center · USThe University of Texas Southwestern Medical Center · US

Funding

Translational Research Activities in Neuropsychiatry (TRAIN) - Renewal - 1R25MH101078 · NIMH · UT SOUTHWESTERN MEDICAL CENTER · PI TRIVEDI, MADHUKAR H. · 2014 to 2025
$2.1M
TREATMENT RESISTANT DEPRESSION-278990003N01MH090003 · NIMH · UNIVERSITY OF TEXAS SW MED CTR/DALLAS · 1999 to 2003
–
NIMH NIH HHS N01 MH090003NIMH NIH HHS R25 MH101078
6 · The paper itself

Abstract

backgroundMajor depressive disorder (MDD) is often comorbid with metabolic diseases such as obesity, cardiovascular disease, and type 2 diabetes. A potential link between these disorders is adiponectin, an adipocyte-derived circulating hormone with insulin-sensitizing, anti-inflammatory, and neuroplasticity effects. Reductions in plasma levels of adiponectin have been reported in both humans with depression and in the chronic-defeat mouse model of depression. However, the predictive value of adiponectin for treatment response to depression has not been determined.

methodsWe investigated the potential predictive effect of baseline adiponectin levels in patients who provided plasma and were undergoing one of three pharmacological treatments (escitalopram monotherapy; escitalopram plus bupropion; and venlafaxine plus mirtazapine) in the Combining Medications to Enhance Depression Outcomes clinical trial (n=160). Specifically, we assessed whether adiponectin moderates-that is, differentially predicts-treatment response among the treatment arms. Improvements with treatment were assessed using change in the clinician-rated 30-item Inventory of Depressive Symptomatology (IDS-C) from baseline through week 12. Moderator effects were tested using separate pairwise repeated measures mixed-effects models with a treatment-arm-by-adiponectin interaction.

resultsBaseline adiponectin levels moderated treatment outcome between two combination therapies. Specifically, low adiponectin predicted better response to escitalopram plus bupropion compared to venlafaxine plus mirtazapine, whereas high adiponectin predicted better response to venlafaxine plus mirtazapine compared to escitalopram plus bupropion (F=4.84,

conclusionsAntidepressant selection for patients with MDD can be personalized using pre-treatment blood-based biomarkers, such as adiponectin, thereby improving treatment outcomes.

Indexed as

AdiponectinBupropionCO-MEDMajor Depressive DisorderMetabolic DisorderSSRI

Identifiers

PMID30859144
PMCPMC6408148
OpenAlexW2809612640

What OpenQuestion holds

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Registered trials

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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.