2022
A genomic meta-analysis of clinical variables and their association with intrinsic molecular subsets in systemic sclerosis
Franks JM, Toledo DM, Martyanov V, Wang Y, Huang S, Wood TA, Spino C, Chung L, Denton C, Derrett-Smith E, Gordon JK, Spiera R, Domsic R, Hinchcliff M, Khanna D, Whitfield ML. A genomic meta-analysis of clinical variables and their association with intrinsic molecular subsets in systemic sclerosis. Rheumatology 2022, 62: 19-28. PMID: 35751592, PMCID: PMC9788818, DOI: 10.1093/rheumatology/keac344.Peer-Reviewed Original ResearchMeSH KeywordsGenomicsHumansMaleOligonucleotide Array Sequence AnalysisRNAScleroderma, SystemicSkinTranscriptomeConceptsMolecular subsetsIntrinsic subsetInflammatory subsetBaseline demographicsSSc patientsWhite/Caucasian patientsBaseline clinical demographicsAverage disease durationRodnan skin scoreAfrican American/BlackASSET trialUnique gene expression signatureDisease durationGene expression signaturesClinical demographicsParticipant seraSkin scoreSystemic sclerosisValidation cohortClinical variablesCaucasian patientsSpecific therapyAmerican/BlackSkin biopsiesDisease pathogenesis
2012
Imatinib mesylate causes genome-wide transcriptional changes in systemic sclerosis fibroblasts in vitro.
Hinchcliff M, Huang CC, Ishida W, Fang F, Lee J, Jafari N, Wilkes M, Bhattacharyya S, Leof E, Varga J. Imatinib mesylate causes genome-wide transcriptional changes in systemic sclerosis fibroblasts in vitro. Clinical And Experimental Rheumatology 2012, 30: s86-96. PMID: 22691216, PMCID: PMC3860597.Peer-Reviewed Original ResearchMeSH KeywordsAnimalsBenzamidesBiopsyCase-Control StudiesCells, CulturedFibroblastsFibrosisGene Expression ProfilingGene Expression RegulationHumansImatinib MesylateMiceMice, KnockoutOligonucleotide Array Sequence AnalysisPhosphorylationPiperazinesProtein Kinase InhibitorsProto-Oncogene Proteins c-ablPyrimidinesScleroderma, SystemicSignal TransductionSkinTime FactorsTranscription, GeneticTransforming Growth Factor beta1ConceptsSystemic sclerosisSSc fibroblastsSkin biopsiesInternal organ fibrosisHeterogeneous multifactorial diseaseControl fibroblastsControl skin biopsiesFibrotic gene expressionSystemic sclerosis fibroblastsC-AblProgressive skinAntifibrotic effectsImatinib mesylateHealthy controlsCardiovascular diseaseGene expressionHealthy subjectsFibrotic responseCholesterol metabolismOrgan fibrosisC-Abl activationMultifactorial diseaseTreatment resultsTissue levelsFibrosisLevels of adiponectin, a marker for PPAR-gamma activity, correlate with skin fibrosis in systemic sclerosis: potential utility as biomarker?
Lakota K, Wei J, Carns M, Hinchcliff M, Lee J, Whitfield ML, Sodin-Semrl S, Varga J. Levels of adiponectin, a marker for PPAR-gamma activity, correlate with skin fibrosis in systemic sclerosis: potential utility as biomarker? Arthritis Research & Therapy 2012, 14: r102. PMID: 22548780, PMCID: PMC3446479, DOI: 10.1186/ar3827.Peer-Reviewed Original ResearchMeSH KeywordsAdiponectinAdultBiomarkersFemaleFibrosisHumansMaleMiddle AgedOligonucleotide Array Sequence AnalysisPPAR gammaReal-Time Polymerase Chain ReactionScleroderma, SystemicSkinTranscriptomeYoung AdultConceptsLevels of adiponectinPPAR-gamma activitySerum adiponectin levelsSystemic sclerosisAdiponectin levelsSkin fibrosisSSc patientsSkin scoreDiffuse cutaneous systemic sclerosisPeroxisome proliferator-activated receptor gammaCutaneous systemic sclerosisRodnan skin scoreProliferator-activated receptor gammaHuman subcutaneous preadipocytesProgression of fibrosisAdiponectin mRNA expressionAdiponectin gene expressionTransforming growth factor betaSignificant inverse correlationLongitudinal study changesGrowth factor betaProgressive fibrosisReal-time quantitative PCRAdiponectin expressionHealthy controls