Colon cancer is a leading cause of cancer-related deaths worldwide and has been increasingly linked to the gut microbiome. Clostridium butyricum (CB), a probiotic, has demonstrated potential in influencing colon cancer cell behavior, particularly through the modulation of long non-coding RNAs (lncRNAs) and mRNAs. This study examines the effects of CB on the expression of lncRNAs and mRNAs in SW480 colon cancer cells and their association with apoptosis. SW480 cells were co-cultured with CB, and total RNA was extracted for microarray analysis to identify differentially expressed lncRNAs and mRNAs. Quantitative real-time PCR and fluorescence staining were utilized to validate the expression changes of selected lncRNAs and to assess markers of apoptosis. Pathway enrichment analysis was performed to explore the biological functions of genes with altered expression. Co-culture with CB resulted in significant changes in lncRNA and mRNA expression, with 50 lncRNAs upregulated and 152 downregulated by more than five-fold. Similarly, 738 mRNAs were upregulated, while 1,088 were downregulated. Apoptosis analysis revealed that CB treatment induced apoptosis in SW480 cells, as evidenced by the upregulation of pro-apoptotic genes such as CASP1, TNF, and BNIP3L, and the downregulation of anti-apoptotic BCL family members. Pathway analysis suggested the involvement of the MAPK signaling pathway, cytokine-cytokine receptor interactions, and other pathways associated with tumor progression. These findings suggest that CB regulates the expression of lncRNAs and mRNAs involved in apoptosis and tumor progression, highlighting their potential as biomarkers and therapeutic targets in colorectal cancer. This study provides a novel therapeutic strategy for colon cancer treatment.
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http://dx.doi.org/10.1016/j.gene.2024.149208 | DOI Listing |
Surg Endosc
January 2025
Department of Digestive Surgery, Kawaguchi Municipal Medical Center, Kawaguchi City, Saitama, 180, Nishiaraijuku333-0833, Japan.
Background: Devices that help educate young doctors and enable safe, minimally invasive surgery are needed. Eureka is a surgical artificial intelligence (AI) system that can intraoperatively highlight loose connective tissues (LCTs) in the dissected layers and nerves in the surgical field displayed on a monitor. In this study, we examined whether AI navigation (AIN) with Eureka can assist trainees in recognizing nerves during colorectal surgery.
View Article and Find Full Text PDFSci Rep
January 2025
School of Chemistry, Institute of Science, Suranaree University of Technology, Nakhon Ratchasima, 30000, Thailand.
In this work, we synthesize a quinoline-based heptamethine cyanine, QuCy7, with sulfonate groups to enhance water solubility. This dye demonstrates exceptional near-infrared absorption beyond 750 nm, accompanied by photothermal properties but low photostability. Encapsulating QyCy7 with polyethylene glycol to form nanopolymer, QuCy7@mPEG NPs, addresses the issue of its photoinstability.
View Article and Find Full Text PDFJ Mol Cell Biol
January 2025
Department of Gastroenterology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China.
The development and homeostasis of intestinal epithelium are mediated by actively proliferating Lgr5+ stem cells, which possess a remarkable self-renewal and differentiation capacity. Recently, our study demonstrated that m6A methylation was essential for the survival of colonic stem cells. Here, we show that METTL3 expression is downregulated in the colon mucosa in ulcerative colitis (UC) patients and strongly associated with the differentiation and maturation of goblet cells during inflammation.
View Article and Find Full Text PDFBMJ Open Gastroenterol
January 2025
Histopathology, University Hospitals Coventry and Warwickshire NHS Trust, Coventry, UK.
Objective: Artificial intelligence (AI) tools for histological diagnosis offer great potential to healthcare, yet failure to understand their clinical context is delaying adoption. IGUANA (Interpretable Gland-Graphs using a Neural Aggregator) is an AI algorithm that can effectively classify colonic biopsies into normal versus abnormal categories, designed to automatically report normal cases. We performed a retrospective pathological and clinical review of the errors made by IGUANA.
View Article and Find Full Text PDFBiomarkers
January 2025
Department of Gastrointestinal Medical Oncology, Division of Cancer Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
Introduction: Colorectal cancer (CRC) incidence and mortality before 50 have been rising alarmingly in the recent decades.
Methods: Using a cohort of 10,000 patients, this study investigates the clinical, mutational, and co-mutational features of CRC in early-onset (EOCRC, < 50 years) compared to late-onset (LOCRC, ≥ 50 years).
Results: EOCRC was associated with a higher prevalence of Asian and Hispanic patients, rectal or left-sided tumors (72% vs.
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