Tope Michael Ipinnimo, Kayode Rasaq Adewoye, Kabir Adekunle Durowade, Olusegun Elijah Elegbede, John Olujide Ojo, Bolade Folasade Dele-Ojo, Olarinde Jeffrey Oluwademilade, Oladele Ademola Atoyebi, Taofeek Adedayo Sanni, Olumide Temitope Asake, Blessing Waibi Daramola, Adetunji Olamide Fadipe
Comparative assessment of health-related quality of life among hypertensive patients attending state and federal government teaching hospitals in Ekiti State, Nigeria
Dialogues in health
optimizing treatment biological agents ideal goal patients ulcerative colitis uc recent data suggest mucosal inflammation patterns serum cytokine profiles differ patients respond ustekinumab monoclonal antibody targeting p40 subunit interleukin il12 il23 shown promise predicting treatment response remains challenge aimed identify prognostic markers response ustekinumab patients active uc utilizing information mucosal transcriptome performed prospective observational study 36 uc patients initiating treatment ustekinumab colonic mucosal biopsies obtained treatment initiation gene expression analysis using microarray panel 84 inflammatory genes differential gene expression analysis dgea correlation analysis network centrality analysis coexpression networks performed identify potential biomarkers additionally machine learning ml models employed predict treatment response based gene expression data seven genes including bcl6 cxcl5 faslg significantly upregulated il23a il23r downregulated nonresponders compared responders coexpression analysis revealed distinct patterns responders nonresponders key genes like bcl6 crp highlighted responders ccl11 ccl22 nonresponders ml algorithms demonstrated high predictive power emphasizing significance il23r il23a bcl6 genes study identifies potential biomarkers associated ustekinumab response uc patients shedding light underlying mechanisms variability treatment outcomes integrating transcriptomic approaches including gene expression analyses ml offers valuable insights personalized treatment strategies highlights avenues research enhance therapeutic outcomes patients uc