Article

Investigating biomarkers and regulatory mechanisms associated with depression and anxiety in obesity based on transcriptome sequencing and experimental validation

2026-09-01

Abstract excerpt

<title>Abstract</title> <p> <bold>Background:</bold> Obesity is a chronic metabolic disease. Emerging evidence underscores a intricate, bidirectional association between obesity and comorbid depression and anxiety disorders. However, biomarkers associated with depression and anxiety in obesity have not yet been investigated. <bold>Methods:</bold> This study utilized public databases and employed machine learn...

Identifiers and source

Literature Corpus work: d6154693-ec8b-5c72-b5e0-08287708c09a
DOI: 10.21203/rs.3.rs-10259789/v1

Open publication

Related research

Semantic proximity does not establish scientific evidence. Graph snapshot: 2026-09-29.

Click a neighbor to travelStep 1 · 12 closest

Investigating biomarkers and regulatory mechanisms associated with depression and anxiety in obesity based on transcriptome sequencing and experimental validationDOI 10.21203/rs.3.rs-10259789/v1Read

Integrated bioinformatics and statistical approach to identify the common molecular mechanisms of obesity that are linked to the development of two psychiatric disorders: Schizophrenia and major depressive disorderSemantic proximity Read

An integrative network medicine approach identifies Erlotinib as a repurposed therapeutic candidate for obesitySemantic proximity Read

RNA sequencing and bioinformatics analysis of tissue biopsy of abdominal fat in obesity associated with cardio-metabolic diseasesSemantic proximity Read

Genome-wide meta-analysis with 2,206,440 individuals identifies 322 novel risk loci for obesity.Semantic proximity Read

Deciphering the genetic landscape of obesity: a data-driven approach to identifying plausible causal genes and therapeutic targets.Semantic proximity Read

Identifying candidate genes for Type 2 Diabetes Mellitus and obesity through gene expression profiling in multiple tissues or cells.Semantic proximity Read

Investigation of candidate genes and mechanisms underlying obesity associated type 2 diabetes mellitus using bioinformatics analysis and screening of small drug moleculesSemantic proximity Read

Exploring genetic susceptibility to obesity through genome functional pathway analysis.Semantic proximity Read

Bioinformatics Analysis of Key Genes and Pathways for Obesity Associated Type 2 Diabetes Mellitus as a Therapeutic TargetSemantic proximity Read

Genomic and proteomic signatures highlight diverse pathways between obesity and type-2 diabetesSemantic proximity Read

Bioinformatics analysis of candidate genes and potential therapeutic drugs targeting adipose tissue in obesitySemantic proximity Read

Differentially Expressed Genes and Enriched Signaling Pathways in the Adipose Tissue of Obese PeopleSemantic proximity Read