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The evidence derived from observational studies suggests male gender, diabetes and central obesity to be risk factors associated with an increased COVID-19-related case fatality. The precise pathophysiology behind this gender difference in mortality outcomes remains unclear at this stage, although it is worth exploring a possible role of testosterone as one of the contributory factors. The observed role of androgens in transcription of transmembrane protease serine-2, which facilitates COVID-19 anchoring to angiotensin-converting enzyme 2 cell surface receptors, seems to suggest that higher testosterone levels might be detrimental for outcomes. On the other hand, men with type 2 diabetes mellitus and central obesity have an increased prevalence of hypogonadotropic hypogonadism, with inhibition of gonadotropin-releasing hormone secretion induced by inflammatory cytokines being one of the postulated mechanisms. The increased COVID-19 case fatality in this cohort might perhaps reflect an underlying pro-inflammatory state, with low testosterone levels being either a surrogate marker of a poor metabolic state or playing a more active role in propagation of inflammation and thrombosis.The coronavirus disease 2019 (COVID-19) pandemic has affected almost every country in the world and has changed the way we access healthcare. People with pre-existing conditions, such as diabetes, are at high risk of a severe disease course and it is essential that, as well as good hygiene and social distancing measures, blood glucose is carefully monitored, as chronic hyperglycaemia can lead to immune dysfunction. People with diabetes should be encouraged to continue medication prescribed for hypertension, diabetes or dyslipidaemia. Furthermore, patients with diabetes and COVID-19 infection should follow their usual antidiabetic treatment with the exception of sodium-glucose cotransporter-2 inhibitors. As the current pandemic situation has rendered some patients unable to access routine healthcare, telehealth may help those with travel restrictions.
Increasing evidence demonstrate that the gut microbiota is involved in the pathogenesis of liver diseases, and faecal microbiota transplantation is considered to be a promising new treatment option. However, there are no reports on the intestinal flora of asymptomatic HBV carriers using next-generation sequencing. This study intends to investigate the potential role of the intestinal microflora in predicting the progression of Hepatitis B patients in different non-cancerous stages.
A total of 266 patients with different stages of Hepatitis B and 31 healthy controls were included in this study. Some of the subjects(217 cases) underwent 16S rRNA gene sequencing. Compared with the control group (CK), the α diversity of patients in Group A (HBV carrier) slightly increased, while that of patients in the other three groups decreased. Each group of patients, especiallythose in GroupC (cirrhosis) andGroupD (acute-on-chronic liver failure), could be separated from the CK using weightedUniFrac PCoA and ANOSIM. LEfSe revealed that40 taxa belonging to threephyla had an LDA larger than 4. Inaddition to the comparison between Group B (chronic Hepatitis B) andGroup C,the specific flora and potential taxonomic function were also identified. Different microbial communities were found to behighlycorrelatedwith clinical indicators and the Child-Pughscores. Changes in the microbial community were highly related to the alternations of host metabolism, which in turn, was related to the development of Hepatitis B. Our analysis identified a total of 47 strains with potential biomarker functions at all levels exceptfor the phylum level.
Faecal microbiota transplantation of some potential beneficial bacteria can change with the occurrence of disease, and HBV carriers might be the most suitable donors.
Faecal microbiota transplantation of some potential beneficial bacteria can change with the occurrence of disease, and HBV carriers might be the most suitable donors.Data science has emerged as an important discipline in the era of big data and biological and biomedical data mining. As such, we have seen a rapid increase in the number of data science departments, research centers, and schools. We review here ten important leadership roles for a successful academic data science chair, director, or dean. These roles include the visionary, executive, cheerleader, manager, enforcer, subordinate, educator, entrepreneur, mentor, and communicator. Selleck Sunitinib Examples specific to leadership in data science are given for each role.
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is widely recognized as a promising lignocellulosic biomass crop due to its advantages of high biomass production, low environmental impacts, and the potential to be cultivated on marginal land. However, the high costs of bioethanol production still limit the current commercialization of lignocellulosic bioethanol. The lignin in the cell wall and its by-products released in the pretreatment step is the main component inhibiting the enzymatic reactions in the saccharification and fermentation processes. Hence, genetic modification of the genes involved in lignin biosynthesis could be a feasible strategy to overcome this barrier by manipulating the lignin content and composition of
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. For this purpose, the essential knowledge of these genes and understanding the underlying regulatory mechanisms in
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In this study,
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were identified as the major monolignol biosynthetic genes in
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based on genetic and transcriptional evidence. Among them, 12 genes were cloned and sequenced. By combining transcription factor binding site prediction and expression correlation analysis, MYB46, MYB61, MYB63, WRKY24, WRKY35, WRKY12, ERF021, ERF058, and ERF017 were inferred to regulate the expression of these genes directly. On the basis of these results, an integrated model was summarized to depict the monolignol biosynthesis pathway and the underlying regulatory mechanism in
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This study provides a list of potential gene targets for genetic improvement of lignocellulosic biomass quality of
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, and reveals the genetic, transcriptional, and regulatory landscape of the monolignol biosynthesis pathway in
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This study provides a list of potential gene targets for genetic improvement of lignocellulosic biomass quality of M. × giganteus, and reveals the genetic, transcriptional, and regulatory landscape of the monolignol biosynthesis pathway in M. × giganteus.
