Shan Song

Area of research

Rheumatology · Genetics

Research interest

Research topics from publications: Specific enterotype of gut microbiota predicted clinical effect of methotrexate in patients with rheumatoid arthritis; Deep stratification by transcriptome molecular characters for precision treatment of patients with systemic lupus erythematosus; The functions and networks of non-coding RNAs in the pathogenesis of Rheumatoid Arthritis; B cell subsets-related biomarkers and molecular pathways for systemic lupus erythematosus by transcriptomics analyses; Predictive value of drug efficacy by M6A modification patterns in rheumatoid arthritis patients; Genetically Determined Levels of mTOR-Dependent Circulating Proteins and Risk of Multiple Sclerosis; Genetic association between interleukin-17 and susceptibility to rheumatoid arthritis; Genetically predicted obstructive sleep apnea is causally associated with an increased risk for periodontitis; Shared genetic architecture contributes to risk of major cardiovascular diseases; Dysbiosis of the Gut Microbiota in Patients with Psoriatic Arthritis is Closely Related to Lymphocyte Subsets and Cytokines. Representative work: OBJECTIVE: The most used drug for the treatment of rheumatoid arthritis (RA) remains methotrexate (MTX). Unfortunately, up to 50% of patients do not achieve a clinically adequate outcome. Here we study whether the gut microbiota patterns can aid in the prediction of MTX efficacy for RA. METHOD: To dissect gut microbiome profiles of RA patients (n = 145), 16S rRNA gene sequencing was performed. Dirichlet multinomial mixture (DMM) clustering was used to identify enterotypes at genus level. The relationships between enterotypes and clinical measures (such as lymphocyte subsets and cytokines detected by flow cytometry) were explored. Then, enterotype stability was evaluated by the stratification OBJECTIVES: To leverage the high clinical heterogeneity of systemic lupus erythematosus (SLE), we developed and validated a new stratification scheme by integrating genome-scale transcriptomic profiles to identify patient subtypes sharing similar transcriptomic markers and drug targets. METHODS: A normalized compendium of transcription profiles was created from peripheral blood mononuclear cells (PBMCs) of 1046 SLE patients and 86 healthy controls (HCs), covering an intersection of 13 689 genes from six microarray datasets. Upregulated differentially expressed genes were subj