Evidence map›Paper›PMID 38405847›Full record

ArticlemedRxiv : the preprint server for health sciences2024

Acylcarnitines metabolism in depression: association with diagnostic status, depression severity and symptom profile in the NESDA cohort.

Silvia Montanari, Rick Jansen, Daniela Schranner, Gabi Kastenmüller, Matthias Arnold, Delfina Janiri, Gabriele Sani, Sudeepa Bhattacharyya, Siamak Mahmoudian Dehkordi, Boadie W Dunlop and 4 more

Open access · greenAbstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

14 authors at 7 institutions in 5 countries.

Silvia MontanariDepartment of Neuroscience, Section of Psychiatry, Università Cattolica del Sacro Cuore, Rome, Italy.
Rick JansenDepartment of Psychiatry, Amsterdam UMC,Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.
Daniela SchrannerInstitute of Computational Biology, Helmholtz Zentrum München, Neuherberg, Germany.
Gabi KastenmüllerInstitute of Computational Biology, Helmholtz Zentrum München, Neuherberg, Germany.
Matthias ArnoldInstitute of Computational Biology, Helmholtz Zentrum München, Neuherberg, Germany.
Delfina JaniriDepartment of Neuroscience, Section of Psychiatry, Università Cattolica del Sacro Cuore, Rome, Italy.
Gabriele SaniDepartment of Neuroscience, Section of Psychiatry, Università Cattolica del Sacro Cuore, Rome, Italy.
Sudeepa BhattacharyyaArkansas Biosciences Institute, Department of Biological Sciences, Arkansas State University, AR, USA.
Siamak Mahmoudian DehkordiDepartment of Psychiatry and Behavioral Sciences, Duke University, Durham, NC, USA.
Boadie W DunlopDepartment of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, GA, USA.
A John RushDepartment of Psychiatry and Behavioral Sciences, Duke University, Durham, NC, USA.
Brenda W H J PenninxDepartment of Psychiatry, Amsterdam UMC,Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.
Rima Kaddurah-DaoukDepartment of Psychiatry and Behavioral Sciences, Duke University, Durham, NC, USA.
Yuri MilaneschiDepartment of Psychiatry, Amsterdam UMC,Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.ORCID 0000-0002-3697-6617
Amsterdam Neuroscience · NLDuke University · USUniversità Cattolica del Sacro Cuore · ITHelmholtz Zentrum München · DEArkansas State University · USEmory University · USNational University of Singapore · SG

Funding

Project 4 - Mechanistic studies on the role of the gut microbiome in models for Alzheimer's diseaseU19AG063744 · NIA · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI ROB KNIGHT, Rima F Kaddurah-Daouk · 2019 to 2026
$54.1M
Metabolomic Signatures for Disease Sub-classification and Target Prioritization in AMP-ADU01AG061359 · NIA · DUKE UNIVERSITY · PI KADDURAH-DAOUK, RIMA F, KASTENMULLER, GABI · 2018 to 2022
$10.0M
Metabolic Networks and Pathways Predictive of Sex Differences in AD Risk and Responsiveness to TreatmentRF1AG059093 · NIA · DUKE UNIVERSITY · PI BRINTON, ROBERTA EILEEN, CHANG, RUI · 2018 to 2018
$5.9M
TargetAD: A systems multi-omics approach to drug repositioning in Alzheimer's diseaseR01AG069901 · NIA · WEILL MEDICAL COLL OF CORNELL UNIV · PI Matthias Arnold, Jan Krumsiek · 2021 to 2026
$3.7M
Gut Liver Brain Biochemical Axis in Alzheimer's DiseaseRF1AG058942 · NIA · DUKE UNIVERSITY · PI KADDURAH-DAOUK, RIMA F, VAN DUIJN, CORNELIA MARJA · 2018 to 2018
$3.4M
Metabolomic Signatures Predictive of Outcomes to Treatments for Major DepressionR01MH108348 · NIMH · DUKE UNIVERSITY · PI DUNLOP, BOADIE W, KADDURAH-DAOUK, RIMA F · 2016 to 2019
$2.7M
Metabolic age to define influences of the lipidome on brain aging in Alzheimer's diseaseR01AG081322 · NIA · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI Matthias Arnold, Rima F Kaddurah-Daouk · 2023 to 2026
$2.6M
NIA NIH HHS R01 AG069901NIA NIH HHS R01 AG081322NIA NIH HHS RF1 AG058942NIA NIH HHS RF1 AG059093NIA NIH HHS U01 AG061359NIA NIH HHS U19 AG063744NIMH NIH HHS R01 MH108348
6 · The paper itself

Abstract

Background: Acylcarnitines (ACs) are involved in bioenergetics processes that may play a role in the pathophysiology of depression. Studies linking AC levels to depression are few and provide mixed findings. We examined the association of circulating ACs levels with Major Depressive Disorder (MDD) diagnosis, overall depression severity and specific symptom profiles. Methods: The sample from the Netherlands Study of Depression and Anxiety included participants with current (n=1035) or remitted (n=739) MDD and healthy controls (n=800). Plasma levels of four ACs (short-chain: acetylcarnitine C2 and propionylcarnitine C3; medium-chain: octanoylcarnitine C8 and decanoylcarnitine C10) were measured. Overall depression severity as well as atypical/energy-related (AES), anhedonic and melancholic symptom profiles were derived from the Inventory of Depressive Symptomatology. Results: As compared to healthy controls, subjects with current or remitted MDD presented similarly lower mean C2 levels (Cohen's d=0.2, p≤1e-4). Higher overall depression severity was significantly associated with higher C3 levels (ß=0.06, SE=0.02, p=1.21e-3). No associations were found for C8 and C10. Focusing on symptom profiles, only higher AES scores were linked to lower C2 (ß=-0.05, SE=0.02, p=1.85e-2) and higher C3 (ß=0.08, SE=0.02, p=3.41e-5) levels. Results were confirmed in analyses pooling data with an additional internal replication sample from the same subjects measured at 6-year follow-up (totaling 4195 observations). Conclusions: Small alterations in levels of short-chain acylcarnitine levels were related to the presence and severity of depression, especially for symptoms reflecting altered energy homeostasis. Cellular metabolic dysfunctions may represent a key pathway in depression pathophysiology potentially accessible through AC metabolism.

Indexed as

acylcarnitinesepidemiologymajor depressive disordermetabolismmetabolomicsmitochondria

Identifiers

PMID38405847
PMCPMC10889013
OpenAlexW4391838595

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.