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Genomics-based identification of a potential causal role for acylcarnitine metabolism in depression

Journal of Affective Disorders(2022)10.1016/j.jad.2022.03.070Source: DataRank Database

Genomics-based identification of a potential causal role for acylcarnitine metabolism in depression is a research paper published in Journal of Affective Disorders (2022). On theSindex it has a DataRank of 0. It has been cited 16 times.

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Open Access16 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

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Enrichment:Funding (11 grants)Impact (FWCI 1.98)OA: hybridTopics (32)IDs (PubMed, OpenAlex)SDGs (2)

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Findable (1/2)

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Accessible (1/2)

Open Access

Interoperable (0/2)

Reusable (0/3)

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Authors (9)

Matthias Arnold ORCID,Gabi Kastenmüller ORCID,Siamak Mahmoudian Dehkordi,Ranga Krishnan ORCID,Boadie W. Dunlop ORCID

Live enrichment

PubMed:35381295 OpenAlex:https://openalex.org/W4226027463

National Institutes of Health

Grant: 3RF1AG051550-01S1

Metabolic Signatures Underlying Vascular Risk Factors for Alzheimer-type Dementias

National Institutes of Health

Grant: 1RF1AG058942-01

Gut Liver Brain Biochemical Axis in Alzheimer's Disease

European Commission

Grant: 848146

A high-dimensional approach for unwinding immune-metabolic causes of cardiovascular disease-depression multimorbidities

National Institutes of Health

Grant: 5R01AG069901-03

TargetAD: A systems multi-omics approach to drug repositioning in Alzheimer's disease

UK Research and Innovation

Grant: MC_UU_12015/1

Aetiology of type 2 diabetes and related metabolic disorders

National Institutes of Health

Grant: 5R01AG046171-03

Metabolic Networks and Pathways in Alzheimer's Disease

National Institutes of Health

Grant: 5U19AG063744-02

Alzheimer's Gut Microbiome Project

National Institutes of Health

Grant: 1RF1AG057452-01

Metabolic Network Analysis of Biochemical Trajectories in Alzheimer's Disease

National Institutes of Health

Grant: 1RF1AG059093-01

Metabolic Networks and Pathways Predictive of Sex Differences in AD Risk and Responsiveness to Treatment

National Institutes of Health

Grant: 3U01AG061359-05S1

Characterizing the AD Metabolome in Brain Tissue Samples of Individuals from Diverse Populations

National Institutes of Health

Grant: 5R01MH108348-04

Metabolomic Signatures Predictive of Outcomes to Treatments for Major Depression

FWCI

1.98

Citation Percentile

0.9%

Citation Trend

2022

2023

2024

2025

hybridLicense: cc-by

journalhttps://www.sciencedirect.com/science/article/pii/S0165032722003172/pdf

publisherhttps://www.sciencedirect.com/science/article/pii/S0165032722003172/pdf

publisherhttps://api.elsevier.com/content/article/PII:S0165032722003172?httpAccept=text/xml

publisherhttps://api.elsevier.com/content/article/PII:S0165032722003172?httpAccept=text/plain

journalhttps://doi.org/10.1016/j.jad.2022.03.070

Fields of Study

Metabolism and Genetic DisordersAdipose Tissue and MetabolismFatty Acid Research and Health0301 basic medicine0303 health sciences03 medical and health sciences

MeSH Terms

CarnitineDepressionHumansCausalityGenomics

Keywords

Mendelian randomizationDepression (economics)Genome-wide association studyOdds ratioInternal medicineEndocrinologyMedicineBiologyGeneticsSingle-nucleotide polymorphismGenetic variantsGeneGenotypeCausalityAcylcarnitines ; Causality ; Depression ; Genomics ; Mendelian Randomization ; MetabolomicsDepressionCarnitineMetabolomicsHumansGenomicsAcylcarnitines

Sustainable Development Goals

SDG 3: 3. Good healthSDG 0: Affordable and clean energy