Transcriptomic Module Discovery of Diarrhea-Predominant Irritable Bowel Syndrome: A Causal Network Inference Approach.

Autor: Guido D; Data Science Unit, National Institute of Gastroenterology-IRCCS 'Saverio de Bellis', 70013 Castellana Grotte, Bari, Italy., Maqoud F; Functional Gastrointestinal Disorders Research Group, National Institute of Gastroenterology-IRCCS 'Saverio de Bellis', 70013 Castellana Grotte, Bari, Italy., Aloisio M; Functional Gastrointestinal Disorders Research Group, National Institute of Gastroenterology-IRCCS 'Saverio de Bellis', 70013 Castellana Grotte, Bari, Italy., Mallardi D; Functional Gastrointestinal Disorders Research Group, National Institute of Gastroenterology-IRCCS 'Saverio de Bellis', 70013 Castellana Grotte, Bari, Italy., Ura B; Institute for Maternal and Child Health-IRCCS 'Burlo Garofolo', 34137 Trieste, Italy., Gualandi N; Department of Medicine, Laboratory of Biochemistry, University of Udine, P.le Kolbe 4, 33100 Udine, Italy., Cocca M; INSERM U1052, CNRS UMR_5286, Cancer Research Center of Lyon (CRCL), 69008 Lyon, France.; Institute of Hepatology Lyon (IHL), 69002 Lyon, France., Russo F; Functional Gastrointestinal Disorders Research Group, National Institute of Gastroenterology-IRCCS 'Saverio de Bellis', 70013 Castellana Grotte, Bari, Italy.
Jazyk: angličtina
Zdroj: International journal of molecular sciences [Int J Mol Sci] 2024 Aug 28; Vol. 25 (17). Date of Electronic Publication: 2024 Aug 28.
DOI: 10.3390/ijms25179322
Abstrakt: Irritable bowel syndrome with diarrhea (IBS-D) is the most prevalent subtype of IBS, characterized by chronic gastrointestinal symptoms in the absence of identifiable pathological findings. This study aims to investigate the molecular mechanisms underlying IBS-D using transcriptomic data. By employing causal network inference methods, we identify key transcriptomic modules associated with IBS-D. Utilizing data from public databases and applying advanced computational techniques, we uncover potential biomarkers and therapeutic targets. Our analysis reveals significant molecular alterations that affect cellular functions, offering new insights into the complex pathophysiology of IBS-D. These findings enhance our understanding of the disease and may foster the development of more effective treatments.
Databáze: MEDLINE
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