An Integrative analysis of single-cell RNA-seq, transcriptome and Mendelian randomization for the Identification and validation of NAD+ Metabolism-Related biomarkers in ulcerative colitis DOI Creative Commons

Longxiang Zhang,

Jian Li, Qiqi Zhang

и другие.

International Immunopharmacology, Год журнала: 2024, Номер 145, С. 113765 - 113765

Опубликована: Дек. 7, 2024

Ulcerative colitis (UC) is a chronic and refractory inflammatory disease of the colon rectum. This study utilized bioinformatics methods to explore potential Nicotinamide adenine dinucleotide (NAD+) metabolism-related genes (NMRGs) as key in UC. Using GSE87466 dataset, differentially expressed NMRGs were identified through differential expression analysis, weighted gene co-expression network analysis (WGCNA), NMRG scoring. These used exposure factors, with UC outcome, identify causal candidate Mendelian randomization (MR) analysis. Key further validated biomarkers using machine learning validation external datasets (GSE75214, GSE224758). A nomogram based on levels these was constructed predict risk, biomarkers' real-time quantitative polymerase chain reaction (RT-qPCR). Subsequently, signaling pathway enrichment immune infiltration drug prediction conducted comprehensively understand biological roles human body. Single-cell (GSE116222) spatial transcriptomic analyses (GSE189184) revealed patterns specific cell types. NCF2, IL1B, S100A8, SLC26A2 biomarkers, NCF2 IL1B serving protective factors S100A8 risk for The demonstrated strong predictive value. Functional significant pathways such IL-4 IL-13 signaling, while strongly associated respiratory electron transport. Significant differences cells, macrophages neutrophils, also observed. showed high monocytes, primarily epithelial intestinal mast cells. Overall, findings reveal NMRGs, providing valuable insights into diagnosis treatment patients.

Язык: Английский

Significance of Malic Enzyme 1 in Cancer: A Review DOI Creative Commons

Rina Fujiwara‐Tani,

Chie Nakashima,

Hitoshi Ohmori

и другие.

Current Issues in Molecular Biology, Год журнала: 2025, Номер 47(2), С. 83 - 83

Опубликована: Янв. 29, 2025

Malic enzyme 1 (ME1) plays a key role in promoting malignant phenotypes various types of cancer. ME1 promotes epithelial–mesenchymal transition (EMT) and enhances stemness via glutaminolysis, energy metabolism reprogramming from oxidative phosphorylation to glycolysis. As result, the cancer cells poor patient prognosis. In particular, expression is promoted hypoxic environments associated with hypoxia-inducible factor (HIF1) α. overexpressed budding at invasive front, invasion metastasis. also generates nicotinamide adenine dinucleotide (NADPH), which, together glucose-6-phosphate dehydrogenase (G6PD) isocitrate (IDH1), expands NADPH pool, maintaining redox balance cells, suppressing cell death by neutralizing mitochondrial reactive oxygen species (ROS), stemness. This review summarizes latest research insights into mechanisms which contributes progression. Because involved aspects many its phenotypes, it expected that will become novel drug target near future.

Язык: Английский

Процитировано

0
An Integrative analysis of single-cell RNA-seq, transcriptome and Mendelian randomization for the Identification and validation of NAD+ Metabolism-Related biomarkers in ulcerative colitis DOI Creative Commons

Longxiang Zhang,

Jian Li, Qiqi Zhang

и другие.

International Immunopharmacology, Год журнала: 2024, Номер 145, С. 113765 - 113765

Опубликована: Дек. 7, 2024

Ulcerative colitis (UC) is a chronic and refractory inflammatory disease of the colon rectum. This study utilized bioinformatics methods to explore potential Nicotinamide adenine dinucleotide (NAD+) metabolism-related genes (NMRGs) as key in UC. Using GSE87466 dataset, differentially expressed NMRGs were identified through differential expression analysis, weighted gene co-expression network analysis (WGCNA), NMRG scoring. These used exposure factors, with UC outcome, identify causal candidate Mendelian randomization (MR) analysis. Key further validated biomarkers using machine learning validation external datasets (GSE75214, GSE224758). A nomogram based on levels these was constructed predict risk, biomarkers' real-time quantitative polymerase chain reaction (RT-qPCR). Subsequently, signaling pathway enrichment immune infiltration drug prediction conducted comprehensively understand biological roles human body. Single-cell (GSE116222) spatial transcriptomic analyses (GSE189184) revealed patterns specific cell types. NCF2, IL1B, S100A8, SLC26A2 biomarkers, NCF2 IL1B serving protective factors S100A8 risk for The demonstrated strong predictive value. Functional significant pathways such IL-4 IL-13 signaling, while strongly associated respiratory electron transport. Significant differences cells, macrophages neutrophils, also observed. showed high monocytes, primarily epithelial intestinal mast cells. Overall, findings reveal NMRGs, providing valuable insights into diagnosis treatment patients.

Язык: Английский

Процитировано

1