Review
Oncology
Nishu Dalal, Rekha Jalandra, Nitin Bayal, Amit K. Yadav, Harshulika, Minakshi Sharma, Govind K. Makharia, Pramod Kumar, Rajeev Singh, Pratima R. Solanki, Anil Kumar
Summary: Recent research suggests that dysbiosis and improper concentrations of microbial metabolites in the gut may lead to the carcinogenesis of colorectal cancer. Specific bacteria, such as Fusobacterium nucleaturm, Streptococcus bovis, Helicobacter pylori, Bacteroides fragilis and Clostridium septicum, have been implicated in CRC development by producing metabolites that promote inflammation and cancer progression. Metabolites derived from gut microbiota are now considered as potential factors in CRC diagnosis, prognosis, and therapy based on recent studies.
JOURNAL OF CANCER RESEARCH AND CLINICAL ONCOLOGY
(2021)
Article
Chemistry, Medicinal
Haixia Ji, Ou Qiao, Yi Zhang, Wenzhe Wang, Xiaoyin Han, Xinyu Zhang, Changxiao Liu, Wenyuan Gao
Summary: Cancer cells rely on glycolysis for energy production and use glucose for biosynthesis to sustain their rapid growth. The relationship between this metabolic characteristic (the Warburg effect) and biosynthesis is still unclear. In this study, we demonstrate that the tumor suppressor p53 mediates the apoptosis of colon cancer cells triggered by the compound Magnolol (MAG). MAG regulates glycolysis and oxidative phosphorylation by modulating the expression of its downstream genes, TP53-induced glycolysis modulator and biosynthesis of cytochrome c oxidase, leading to reduced proliferation and tumor growth. Additionally, we find that MAG, in conjunction with metabolites produced by intestinal microflora, suppresses tumors by decreasing the kynurenine/tryptophan ratio. Our findings suggest that the p53-microbiota-metabolites axis may provide a therapeutic approach for colorectal cancer, with MAG as a potential candidate.
PHYTOTHERAPY RESEARCH
(2023)
Article
Microbiology
Zhang Qi, Zuo Zhibo, Zhuang Jing, Qu Zhanbo, Han Shugao, Jin Weili, Liu Jiang, Han Shuwen
Summary: This study found no significant difference in fecal flora alpha diversity between poorly differentiated and moderately differentiated colorectal cancer. However, there were differences in the composition of the flora between the two groups. In terms of prediction using machine learning models, the random forest model showed the highest accuracy.
Article
Chemistry, Multidisciplinary
Maiada M. Mahmoud, Nahla A. Belal, Aliaa Youssif
Summary: This paper presents the prediction of transcription factor binding sites using different classification techniques, with the voting technique proving to be more efficient with noisy data and KNN performing well on this type of data. The study emphasizes the significance of using voting for predicting binding sites.
APPLIED SCIENCES-BASEL
(2021)
Article
Microbiology
Caijun Zhao, Xiaoyu Hu, Min Qiu, Lijuan Bao, Keyi Wu, Xiangyue Meng, Yihong Zhao, Lianjun Feng, Shiyu Duan, Yuhong He, Naisheng Zhang, Yunhe Fu
Summary: This study demonstrates that gut microbiota disturbance caused by metabolic abnormalities of gut microbiota is associated with the occurrence and development of mastitis. The underlying mechanism of how gut dysbiosis leads to mastitis pathogenesis remains unclear. Additionally, the regulation of commensal bacteria and gut metabolism may provide a potential strategy for mastitis intervention.
Article
Biotechnology & Applied Microbiology
Yu Liang, Shujie Dou, Guangzhong Zhao, Jie Shen, Guangping Fu, Lihong Fu, Shujin Li, Bin Cong, Chunnan Dong
Summary: This study investigated the role of gut bacterial community characteristics and genetic traits in predicting an individual's body mass index (BMI) using metagenomic data from a healthy Chinese population. The findings demonstrated the potential of genetic traits of gut bacteria in predicting BMI and suggest a novel method for determining the body type of suspects in forensic applications.
MICROBIAL CELL FACTORIES
(2023)
Editorial Material
Microbiology
Nicolas Benech, Nathalie Rolhion, Harry Sokol
Summary: This study demonstrates a new mechanism by which bacteria can control intestinal motility and vagal neuronal activation through tryptophan catabolites acting on the TrpA1 receptor of enteroendocrine cells.
CELL HOST & MICROBE
(2021)
Article
Microbiology
Min Jin, Jingjing Wu, Linli Shi, Bin Zhou, Fumei Shang, Xiaona Chang, Xiaochuan Dong, Shenghe Deng, Li Liu, Kailin Cai, Xiu Nie, Tao Zhang, Jun Fan, Hongli Liu
Summary: CRC patients with different MMR status have distinct gut bacterial community richness, compositions, and related metabolic pathways.
FRONTIERS IN MICROBIOLOGY
(2022)
Article
Microbiology
Jiayi Zhang, Chengcheng Zhang, Qingsong Zhang, Leilei Yu, Wei Chen, Yuzheng Xue, Qixiao Zhai
Summary: Mounting evidence has shown a link between changes in human gut microbiota and the use of proton pump inhibitors (PPIs). This meta-analysis of four studies found common features of PPI-related gut microbiota, including a decrease in diversity and depletion of certain bacteria families. The study also identified potential biomarkers and functional metabolic changes associated with PPI use.
Review
Food Science & Technology
Zongxin Ling, Xia Liu, Yiwen Cheng, Xiumei Yan, Shaochang Wu
Summary: The altered assembly, structure and dynamics of the gut microbiota actively participate in the aging process, affecting healthy aging and age-associated diseases.
CRITICAL REVIEWS IN FOOD SCIENCE AND NUTRITION
(2022)
Article
Multidisciplinary Sciences
Sebastian Jamrozinski, Urszula Markowska-Kaczmar
Summary: This study aims to develop a semi-supervised learning method applicable to various data modalities, especially medical images. The method utilizes a classifier and an auxiliary discriminator model to build data embeddings and improve classification accuracy.
SCIENTIFIC REPORTS
(2022)
Article
Multidisciplinary Sciences
Taichi A. Suzuki, J. Liam Fitzstevens, Victor T. Schmidt, Hagay Enav, Kelsey E. Huus, Mirabeau Mbong Ngwese, Anne Griesshammer, Anne Pfleiderer, Bayode R. Adegbite, Jeannot F. Zinsou, Meral Esen, Thirumalaisamy P. Velavan, Ayola A. Adegnika, Le Huu Song, Timothy D. Spector, Amanda L. Muehlbauer, Nina Marchi, Hyena Kang, Lisa Maier, Ran Blekhman, Laure Segurel, GwangPyo Ko, Nicholas D. Youngblut, Peter Kremsner, Ruth E. Ley
Summary: The gut microbiomes of human populations worldwide have common core microbial species. However, within a species, certain strains show population specificity. This study suggests that humans and their gut microbes have experienced parallel evolutionary history, and specific microbial strains may play a crucial role in microbiome-mediated disease phenotypes.
Article
Biochemistry & Molecular Biology
Mauro Giuffre, Rita Moretti, Claudio Tiribelli
Summary: The human gut microbiome is important for human health and is the subject of increasing research. Omics-based methods, such as metagenomics and metabolomics, are commonly used for studying the gut microbiome due to their ability to provide high-throughput and high-resolution data. However, there are challenges in using machine learning-based approaches to analyze the relationship between microbiota and disease, such as small sample sizes and inconsistent experimental protocols. Efforts are being made to address these challenges, including the construction of data repositories and improved data transparency guidelines.
INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
(2023)
Editorial Material
Medicine, Research & Experimental
Anusha Jayaraman, Sven Pettersson
Summary: Duchenne muscular dystrophy (DMD) is an incurable neuromuscular degenerative disease. The gut-muscle axis hypothesis suggests that communication between the gut microbiota and muscular system regulates muscular function and may be disrupted in muscular disorders. Unhealthy microbiota profiles caused by excessive sugar and lipid-rich processed food consumption can be reversed by personalized dietary changes, which not only alter the microbiota composition but also reset the production of beneficial microbial metabolites associated with prolonged health span. Recent studies highlight the potential of microbiota-informed dietary interventions in genetically linked muscle disorders like DMD.
EMBO MOLECULAR MEDICINE
(2023)
Article
Agriculture, Dairy & Animal Science
Yuqing He, Francesco Tiezzi, Jicai Jiang, Jeremy Howard, Yijian Huang, Kent Gray, Jung-Woo Choi, Christian Maltecca
Summary: This study evaluated the performance of eight different methods in estimating the diversity of gut microbiota composition and predicting the growth and body composition traits in pig breeds. The results showed that different methods had varying performance in predicting different traits and breeds, highlighting the importance of gut microbiome data in understanding complex traits in pigs with diverse genetic backgrounds.
JOURNAL OF ANIMAL SCIENCE
(2022)