Precision medicine and drug optimization in adult inflammatory bowel disease patients

S Vieujean, E Louis - Therapeutic Advances in …, 2023 - journals.sagepub.com
Inflammatory bowel diseases (IBD) encompass two main entities including ulcerative colitis
and Crohn's disease. Although having a common global pathophysiological mechanism …

Current and emerging biomarkers for ulcerative colitis

JK Nowak, R Kalla, J Satsangi - Expert Review of Molecular …, 2023 - Taylor & Francis
Introduction Ulcerative colitis (UC) is a chronic illness requiring lifelong management that
could be enhanced by personalizing care using biomarkers. Areas covered The main …

A longitudinal single-cell atlas of anti-tumour necrosis factor treatment in inflammatory bowel disease

T Thomas, M Friedrich, C Rich-Griffin, M Pohin… - Nature …, 2024 - nature.com
Precision medicine in immune-mediated inflammatory diseases (IMIDs) requires a cellular
understanding of treatment response. We describe a therapeutic atlas for Crohn's disease …

Biological, genetic and epigenetic markers in ulcerative colitis

G Caliendo, G D'Elia, J Makker, L Passariello… - Advances in Medical …, 2023 - Elsevier
In this review, we have summarized the existing knowledge of ulcerative colitis (UC) markers
based on current literature, specifically, the roles of potential new biomarkers, such as …

Targeted Assessment of Mucosal Immune Gene Expression Predicts Clinical Outcomes in Children with Ulcerative Colitis

K Clarkston, R Karns, AG Jegga… - Journal of Crohn's …, 2022 - academic.oup.com
Abstract Background and Aims We aimed to determine whether a targeted gene expression
panel could predict clinical outcomes in paediatric ulcerative colitis [UC] and investigated …

SGCP: a spectral self-learning method for clustering genes in co-expression networks

N Aghaieabiane, I Koutis - BMC bioinformatics, 2024 - Springer
Background A widely used approach for extracting information from gene expression data
employs the construction of a gene co-expression network and the subsequent …

SGC: A semi-supervised pipeline for gene clustering using self-training approach in gene co-expression networks

N Aghaieabiane, I Koutis - arXiv preprint arXiv:2209.10545, 2022 - arxiv.org
A widely used approach for extracting information from gene expression data employ the
construction of a gene co-expression network and the subsequent application of algorithms …

A New Differential Gene Expression Based Simulated Annealing for Solving Gene Selection Problem: A Case Study on Eosinophilic Esophagitis and Few Other …

K Sinha, S Chakraborty, A Bardhan, R Saha… - medRxiv, 2024 - medrxiv.org
Background Identifying the set of disease-causing genes is crucial for understanding
pathogenesis and developing therapies. This is particularly important to understand the …

Machine Learning and Network Embedding Methods for Gene Co-Expression Networks

N Aghaieabiane - 2023 - search.proquest.com
High-throughput technologies such as DNA microarrays and RNA-seq are used to measure
the expression levels of large numbers of genes simultaneously. To support the extraction of …

Genetically regulated gene expression underlies the individuality of human brain organization and disease risk

N Hoang, N Sardaripour, G Ramey, Y Chen, E Liao… - 2022 - osf.io
Understanding the individuality of human brain function and dysfunction requires the
integration of data on brain organization across individuals, molecular and systems scales …