Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Establishment of comorbidity target pools and prediction of drugs candidate for multiple sclerosis and autoimmune thyroid diseases based on GWAS and transcriptome data.

Multiple sclerosis and related disorders - 1 Oct 2023

Wang Xin, Wang Yifei, Zhang Xuemei, Hong Xiangxiang, Rang Xinming, Yang Dan, Huang Shan, Xu Chaohan, Fu Jin

Abstract excerpt

BACKGROUND: Clinical observation has revealed that multiple sclerosis (MS) and autoimmune thyroid disease (AITD) are strongly correlated. The aim of this study was to explore the shared molecular causes of MS and AITD, and to conduct drug rearrangement on this basis, search for comorbidity drugs and feasible drugs for mutual reference between the two diseases. METHODS: Based on genome-wide association study...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Comorbidity
Share to Computational Biology

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Gene Regulatory Networks

Share to Genome-Wide Association Study

Share to Multiple Sclerosis

Share to Protein Interaction Maps

Share to Thyroid Diseases

Share to Transcriptome

Source

Identifiers

PMID: 37556937
DOI: 10.1016/j.msard.2023.104903

Genes

IL2RA
JAK1
STAT3
TLR3
TYK2

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 5 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Establishment of comorbidity target pools and prediction of drugs candidate for multiple sclerosis and autoimmune thyroid diseases based on GWAS and transcriptome data.PMID 37556937Read ↗

The Shared Mechanism and Candidate Drugs of Multiple Sclerosis and Sjögren’s Syndrome Analyzed by Bioinformatics Based on GWAS and Transcriptome DataSemantic proximity Read ↗

Exploring of mechanisms and predicting of potential drugs of the comorbidity between migraine and multiple sclerosis based on bioinformatics analysis of transcriptome dataSemantic proximity Read ↗

<i>In silico</i> transcriptomic analysis reveals shared molecular signatures and immune-associated pathways between Hashimoto’s thyroiditis and type 2 diabetes with exploratory drug repurposingSemantic proximity Read ↗

Multi-omics integration prioritizes potential drug targets for multiple sclerosisSemantic proximity Read ↗

An Integrative Network Approach to Identify Common Genes for the Therapeutics in Tuberculosis and Its Overlapping Non-Communicable DiseasesSemantic proximity Read ↗

Identification of candidate biomarkers and pathways associated with multiple sclerosis using bioinformatics and next generation sequencing data analysisSemantic proximity Read ↗

Multiomics integration prioritizes potential drug targets for multiple sclerosisSemantic proximity Read ↗

Identification of shared genes and pathways: a comparative study of multiple sclerosis susceptibility, severity and response to interferon beta treatment.Semantic proximity Read ↗

Exploring the comorbidity mechanism of rheumatoid arthritis and systemic lupus erythematosus through transcriptomics and conducting experimental validation.Semantic proximity Read ↗

Identifying potential key genes and existing drugs for Multiple sclerosis, Schizophrenia, and Autism- an in silico approachSemantic proximity Read ↗

Identifying common genes, proteins, and pathways from human miRNA and gene blood profiles in multiple sclerosis patientsSemantic proximity Read ↗

Promising targets and drugs in rheumatoid arthritisSemantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.