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Background: Fibrosis refers to abnormal deposition of extracellular matrix, which leads to organ dysfunction. Metabolic alterations, especially enhanced glycolysis and suppressed fatty acid oxidation, are recognized as an essential pathogenic process of fibrosis. Recently, several reports indicate that the changes in microbiota composition are associated with metabolic disorders, suggesting microbes may contribute to organ fibrosis by regulating metabolic processes., Method: In this study, microbial reannotation was carried out on the RNA-seq data of fibrotic organs. Then, the microbial composition differences among healthy and fibrotic organ samples were determined by alpha and beta diversity analysis. Common and specific microbial markers of fibrosis were also identified by LEfSe. After that, the correlation analysis of the characteristic microbe-- gene-functional pathway was conducted to confirm the effects of microbes on host metabolism., Result: The results showed that the microbial composition significantly differed between healthy and diseased organs. Besides, the common characteristic microbes interacted closely with each other and contributed to fibrosis through symbiosis or inhibition. The largest proportion in fibrosis organs was Proteobacteria, which was the main source of pathogenic microbes., Conclusion: Further study found that the metabolic alteration driven by common and special characteristic microbes in fibrotic organs focused on the processes related to glycolysis and fatty acid metabolism., (Copyright© Bentham Science Publishers; For any queries, please email at epub@benthamscience.net.)

SCovid v2.0 (http://bio-annotation.cn/scovid or http://bio-computing.hrbmu.edu.cn/scovid/) is an updated database designed to assist researchers in uncovering the molecular characteristics of coronavirus disease 2019 (COVID-19) across various tissues through transcriptome sequencing. Compared with its predecessor, SCovid v2.0 is enhanced with comprehensive data, practical functionalities, and a reconstructed pipeline. The current release includes (i) 3,544,360 cells from 45 single-cell RNA-seq (scRNA-seq) data sets encompassing 789 samples from 15 tissues; (ii) the addition of 62 COVID-19 bulk RNA-seq data comprising 1,688 samples from 12 tissues; (iii) incorporation of seven bulk RNA-seq data sets related to other human coronaviruses, such as HCoV-229E, HCoV-OC43, and MERS-CoV for a thorough comparative analysis of pan-coronavirus mechanisms in COVID-19; and (iv) systematic comparisons between the data sets conducted using standardized procedures. Furthermore, we have developed an advanced search engine and upgraded web interface to browse, search, visualize, and download detailed information. Overall, SCovid v2.0 is a valuable resource for exploring molecular characteristics of COVID-19 across different tissues., Importance: This manuscript provides a comprehensive analysis of the molecular characteristics of COVID-19 through cross-tissue transcriptome analysis, contributing to the understanding of COVID-19 by clinicians and scientists. Considering the cyclical nature of coronavirus outbreaks, this updated database adds transcriptome data on other human coronaviruses, contributing to potential and existing mechanisms of other human coronaviruses.

The gut microbiota is essential for various physiological functions in the host, primarily through the metabolites it produces. To support researchers in uncovering how gut microbiota contributes to host homeostasis, we launched the gutMGene database in 2022. In this updated version, we conducted an extensive review of previous papers and incorporated new papers to extract associations among gut microbes, their metabolites, and host genes, carefully classifying these as causal or correlational. Additionally, we performed metabolic reconstructions for representative gut microbial genomes from both human and mouse. gutMGene v2.0 features an upgraded web interface, providing users with improved accessibility and functionality. This upgraded version is freely available at http://bio-computing.hrbmu.edu.cn/gutmgene. We believe that this new version will greatly advance research in the gut microbiota field by offering a comprehensive resource., (© The Author(s) 2024. Published by Oxford University Press on behalf of Nucleic Acids Research.)