Back to search

Article

Network and Transcriptomic Integration Identifies PGC-1α as a Central Node of the 3,5-Diiodo-L-Thyronine–Responsive Metabolic Network in Metabolic Dysfunction-Associated Steatotic Liver Disease

2026-08-25

Abstract excerpt

<title>Abstract</title> <p>Objective To characterize the network-level relationship between curated 3,5-T2 targets and the MASLD interactome and identify mechanistic hubs supported by human hepatic transcriptomics. Methods Seventeen experimentally supported 3,5-T2 targets were integrated with a 187-gene MASLD set curated from GeneCards, DisGeNET, and OMIM. High-confidence protein–protein interactions were const...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
62639656-b20e-585d-958d-2bb91890aa6b
DOI
10.21203/rs.3.rs-10796974/v1
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Network and Transcriptomic Integration Identifies PGC-1α as a Central Node of the 3,5-Diiodo-L-Thyronine–Responsive Metabolic Network in Metabolic Dysfunction-Associated Steatotic Liver DiseaseDOI 10.21203/rs.3.rs-10796974/v1
Integrative multi-omics and multi-trait analysis prioritizes regulatory mechanisms and genes for metabolic dysfunction-associated steatotic liver diseaseSemantic proximity
Integrative Analysis of Mitochondrial Dysfunction-Associated Genes in NAFLD: Diagnostic Model and Therapeutic InsightsSemantic proximity
Global molecular landscape of early MASLD progression in obesitySemantic proximity
Integrated network pharmacology and bioinformatic analysis reveals the multi-target mechanisms of dietary long-chain n-3 polyunsaturated fatty acids in type 2 diabetes mellitusSemantic proximity
Highly perturbed genes and hub genes associated with type 2 diabetes in different tissues of adult humans: A bioinformatics analytic workflowSemantic proximity
Transcriptome-Wide Identification of Hub Genes and Therapeutic Targets in Type 2 Diabetes Mellitus Through Integrated Bioinformatics and Molecular Docking-Based Drug RepurposingSemantic proximity
Transancestral TWAS Enrichment of NMN- Informed Pathways in Type 2 Diabetes: CPT2- Linked Fatty-Acid Oxidation and MAP2K1/MAPK3 Drivers as Translational BridgesSemantic proximity
The long non-coding RNA<i>TRIB1AL</i>links metabolic dysfunction-associated steatotic liver disease, cardiometabolic risk and human lifespanSemantic proximity
Single-Cell RNA Sequencing Analysis of Key Candidate Genes; Molecular Modeling and Docking-Based Therapeutic Molecules Exploration of Nature Derived Phytoconstituents for Type 2 Diabetes Mellitus.Semantic proximity
Tissue-Specific Molecular Biomarker Signatures of Type 2 Diabetes: An Integrative Analysis of Transcriptomics and Protein–Protein Interaction DataSemantic proximity
Integrated transcriptomic and single-cell RNA sequencing analyses reveal shared immune–metabolic dysregulation between coronary heart disease and non-alcoholic fatty liver diseaseSemantic proximity
Mitochondrial dysfunction and onset of type 2 diabetes along with its complications: a multi-omics Mendelian randomization and colocalization study.Semantic proximity
Select a neighboring publication to make it the new centre.