Article

A Network Medicine Approach to Investigating ME/CFS Pathogenesis in Severely Ill Patients: A Pilot Study

2024-09-26

Abstract excerpt

This pilot study harnessed the power of network medicine to unravel the complex pathogenesis of Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS). By utilizing a network analysis on whole genome sequencing (WGS) data from the Severely Ill Patient Study (SIPS), we identified ME/CFS-associated proteins and delineated the corresponding network-level module, termed the SIPS disease module, together with its...

Topics

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

Identifiers and source

Literature Corpus work: 03d43847-65fd-5848-b543-09126f809f55
DOI: 10.1101/2024.09.26.24314417

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

A Network Medicine Approach to Investigating ME/CFS Pathogenesis in Severely Ill Patients: A Pilot StudyDOI 10.1101/2024.09.26.24314417Read

Toward a Disease Module for ME/CFS: A Network-Based Gene PrioritizationSemantic proximity Read

A Molecular network approach reveals shared cellular and molecular signatures between chronic fatigue syndrome and other fatiguing illnessesSemantic proximity Read

A Cartography of Differential Gene Methylation in Myalgic Encephalomyelitis/Chronic Fatigue Syndrome: Different Network Roles in the Protein-Protein Interactions Network Play Different, Biologically Relevant, RolesSemantic proximity Read

Changes in the transcriptome of circulating immune cells of a New Zealand cohort with myalgic encephalomyelitis/chronic fatigue syndromeSemantic proximity Read

Seven genomic subtypes of chronic fatigue syndrome/myalgic encephalomyelitis: a detailed analysis of gene networks and clinical phenotypes.Semantic proximity Read

Genetic Risk Factors for ME/CFS Identified using Combinatorial AnalysisSemantic proximity Read

Dissecting the genetic complexity of myalgic encephalomyelitis/chronic fatigue syndrome via deep learning-powered genome analysisSemantic proximity Read

Genetic risk factors for ME/CFS identified using combinatorial analysisSemantic proximity Read

Initial findings from the DecodeME genome-wide association study of myalgic encephalomyelitis/chronic fatigue syndromeSemantic proximity Read

Genetic Risk Factors for ME/CFS Identified using Combinatorial AnalysisSemantic proximity Read

Biological Insights from Genome-Wide Association Studies and Whole Genome Sequencing of Myalgic Encephalomyelitis/Chronic Fatigue SyndromeSemantic proximity Read

Stress-Induced Transcriptomic Changes in Females with Myalgic Encephalomyelitis/Chronic Fatigue Syndrome Reveal Disrupted Immune SignaturesSemantic proximity Read