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

Data-driven multiple-level analysis of gut-microbiome-immune-joint interactions in rheumatoid arthritis.

BMC genomics - 11 Feb 2019

Wang QuanQiu, Xu Rong

Abstract excerpt

BACKGROUND: Rheumatoid arthritis (RA) is the most common autoimmune disease and affects about 1% of the population. The cause of RA remains largely unknown and could result from a complex interaction between genes and environment factors. Recent studies suggested that gut microbiota and their collective metabolic outputs exert profound effects on the host immune system and are implicated in RA. However, which and...

Read the complete abstract on PubMed

Topics

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

Share to Arthritis, Rheumatoid
Share to Computational Biology
Share to Gastrointestinal Microbiome

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Joints

Share to Metabolomics

Share to Mutation

Share to Phenotype

Share to Signal Transduction

Source

Open in PubMed Open full text

Identifiers

PMID: 30744546
DOI: 10.1186/s12864-019-5510-y
PMCID: PMC6371598

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Data-driven multiple-level analysis of gut-microbiome-immune-joint interactions in rheumatoid arthritis.PMID 30744546Read ↗

Multi-omics profiling reveals potential alterations in rheumatoid arthritis with different disease activity levelsSemantic proximity Read ↗

Comprehensive Multi-omics Analysis Reveals the Core Role of Glycerophospholipid Metabolism in Rheumatoid Arthritis DevelopmentSemantic proximity Read ↗

Microbial dysbiosis and metabolic disorders promote rheumatoid arthritis across successive stages: a multi-omics cohort studySemantic proximity Read ↗

An overview of multi-omics technologies in rheumatoid arthritis: applications in biomarker and pathway discoverySemantic proximity Read ↗

Novel loci and multi-omics risk models for rheumatoid arthritis through a million-participant genome-wide association meta-analysisSemantic proximity Read ↗

Comprehensive multi-omics analysis reveals the core role of glycerophospholipid metabolism in rheumatoid arthritis developmentSemantic proximity Read ↗

Metagenome-wide association study of gut microbiome revealed novel aetiology of rheumatoid arthritis in the Japanese populationSemantic proximity Read ↗

Integrative Multiomics Network Analysis of Genetic Risk Factors to Infer Biomarkers and Therapeutic Targets for Rheumatoid ArthritisSemantic proximity Read ↗

The Identification of Novel Therapeutic Biomarkers in Rheumatoid Arthritis: A Combined Bioinformatics and Integrated Multi-Omics ApproachSemantic proximity Read ↗

Multi-omic Biomarkers Distinguish Rheumatoid Arthritis in Discordant Monozygotic TwinsSemantic proximity Read ↗

Functional profiling of the gut microbiome in disease-associated inflammationSemantic proximity Read ↗

Rheumatoid Arthritis: Biomarkers and the Latest BreakthroughsSemantic proximity Read ↗

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