Anti-inflammatory activities of natural cyclopeptide RA-XII in colitis-associated colon cancer mouse model and its effect on gut microbiome

Coptis chinensis and Berberine Ameliorate Chronic Ulcerative Colitis: An Integrated Microbiome-Metabolomics Study

Coptis chinensis Franch (RC), has historically been used for the treatment of "Xiao Ke" and "Xia Li" symptoms in China. "Xia Li" is characterized by abdominal pain and diarrhea, which are similar to the clinical symptoms of ulcerative colitis (UC). For the first time, this study aims to compare the anti-colitis effects of berberine (BBR) and total RC alkaloids (TRCA) and investigate the underlying metabolites and gut microbiota biomarkers. Metabolomics results showed that several colitis-related biomarkers, including lysophosphatidyl ethanolamine, lysophosphatidylcholine, scopolamine-methyl-bromide, N1-methyl-2-pyridone-5-carboxamide, 4-hydroxyretinoic acid, and malic acid, were significantly improved in model mice after BBR and TRCA treatments. High-dose BBR and TRCA treatments reversed the mouse colon shortening caused by dextran sodium sulfate (DSS), alleviated bowel wall swelling, and reduced inflammatory cell infiltration. BBR and TRCA restored the damaged mucosa integrity in colitis mice by upregulating claudin 1 and occludin, preventing colon epithelium apoptosis by inhibiting the cleavage of caspase 3. Additionally, BBR and TRCA significantly decreased the richness of the pathogenic bacteria Bacteroides acidifaciens but increased the abundance of the probiotic Lactobacillus spp. Notably, TRCA exhibited superior anti-colitis effects to those of BBR. Thus, this agent warrants further study and application in the treatment of inflammatory bowel disease in the clinic.

Investigation of trends in gut microbiome associated with colorectal cancer using machine learning

Background

The rapid growth of publications on the gut microbiome and colorectal cancer (CRC) makes it feasible for text mining and bibliometric analysis.

Methods

Publications were retrieved from the Web of Science. Bioinformatics analysis was performed, and a machine learning-based Latent Dirichlet Allocation (LDA) model was used to identify the subfield research topics.

Results

A total of 5,696 publications related to the gut microbiome and CRC were retrieved from the Web of Science Core Collection from 2000 to 2022. China and the USA were the most productive countries. The top 25 references, institutions, and authors with the strongest citation bursts were identified. Abstracts from all 5,696 publications were extracted for a text mining analysis that identified the top 50 topics in this field with increasing interest. The colitis animal model, expression of cytokines, microbiome sequencing and 16s, microbiome composition and dysbiosis, and cell growth inhibition were increasingly noticed during the last two years. The 50 most intensively investigated topics were identified and further categorized into four clusters, including "microbiome sequencing and tumor," "microbiome compositions, interactions, and treatment," "microbiome molecular features and mechanisms," and "microbiome and metabolism."

Conclusion

This bibliometric analysis explores the historical research tendencies in the gut microbiome and CRC and identifies specific topics of increasing interest. The developmental trajectory, along with the noticeable research topics characterized by this analysis, will contribute to the future direction of research in CRC and its clinical translation.

Prognostic value of neutrophil-to-lymphocyte ratio in colorectal cancer liver metastasis: A meta-analysis of results from multivariate analysis

We aimed to evaluate the prognostic value of the neutrophil-to-lymphocyte ratio (NLR) in colorectal cancer liver metastasis (CRLM). A comprehensive search was conducted across PubMed, MedLine, and the Cochrane Library databases for articles published from January 1, 2000 to April 30, 2022 that investigated the long-term prognostic value of NLR in CRLM; only studies with multivariate analyses were enrolled. Hazard ratio (HR) with 95% confidence interval (CI) was used to determine the effect size. A total of 2,522 patients in 12 studies were selected; the meta-analysis demonstrated that elevated NLR correlated with poor overall survival (OS) and disease-free survival (DFS) (HR, 1.95, 95%CI, 1.698-2.223, P < 0.01; HR, 1.80, 95%CI, 1.363-2.363, P < 0.01; respectively). The 5-year OS and disease-free survival rates were higher in the patients with normal NLR than in patients with high NLR (47% vs. 27%, P < 0.01; 37% vs. 6%, P < 0.01, respectively). Further analysis of clinicopathological parameters indicated no significant difference between the patients with and without elevated NLR. Begg's and Egger's tests for publication bias revealed no significant publication bias (P = 0.891 and P = 0.926, respectively). Multivariate analysis revealed that NLR had an excellent prognostic ability in CRLM, which can be used in deciding the treatment and predicting the clinical outcomes. Further multicenter randomized controlled trials are required to verify this conclusion.