Related Experiment Video
Updated: Jan 13, 2026

CRISPR Gene Editing Tool for MicroRNA Cluster Network Analysis
Published on: April 25, 2022
Microinflammation-Driven Gene Expression Dynamics in the Pathogenesis of Metabolic Disorders and Cancer
Marian Elisa Gabrielle T Cadungog1,2, Lemmuel L Tayo3
1School of Chemical, Biological, and Materials Engineering and Sciences, Mapúa University, Manila 1002, Philippines.
Abstract:
Microinflammation serves as a central mechanism linking metabolic diseases and cancer. This study integrates gene expression profiles from irritable bowel syndrome (IBS), obesity, type 2 diabetes (T2D), colorectal cancer (CRC), renal cell carcinoma (RCC), and pancreatic cancer (PC) to identify shared molecular drivers of inflammation-mediated pathology. Weighted gene co-expression network analysis (WGCNA) revealed three highly preserved modules (blue, brown, turquoise) enriched in RNA processing, spliceosome assembly, ribosome biogenesis, and proteostasis regulation. Key hub genes, along with regulatory miRNAs have interconnected networks that modulate transcription, mRNA maturation, protein synthesis, and inflammatory signaling. Although classical inflammatory pathways were not directly enriched, their activity appears to be indirectly shaped by disruptions in RNA-processing and proteostasis machinery. Additionally, gut microbiota-derived products and altered metabolic states may further reinforce these transcriptional and post-transcriptional imbalances. Collectively, these findings reveal conserved molecular signatures that bridge microinflammation, metabolic disease, and oncogenesis, and highlight potential diagnostic and therapeutic targets centered on RNA regulation, proteostasis, and miRNA-mediated control.
Related Concept Videos
mTOR Signaling and Cancer Progression
The mTOR pathway or the...
MicroRNAs
Epigenetic Regulation
X-chromosome...
Regulation of Metabolism
The Tumor Microenvironment
Interactions Between Signaling Pathways
Convergence and divergence, and cross-talk between signaling pathways
Two distinct signaling pathways can converge on a single functional unit, which may either be a single protein or a complex of proteins. The response is either functionally distinct or synergistic between the two pathways but different from the response...

