The microalga Nitzschia cf. thermaloides was found in reservoirs of mud volcanoes in eastern Crimea. The species was observed to have a wide range of halotolerance and, in particular, to be capable of vegetative reproduction within a substrate salinity range of 0-110‰. The effect of salinity on the fatty acid (FA) profile was for the first time studied in N. cf. thermaloides. The quantitative and qualitative FA composition remained unchanged regardless of salinity, suggesting maintenance of a stable compacted membrane structure, which probably contributes to the species adaptation to salinity. Saturated FAs accounted for a major portion of total FAs, and the species was therefore assumed to provide a potentially valuable source of saturated FAs for biotechnology and an alternative raw material for biofuel.
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http://dx.doi.org/10.1134/S0012496623700795 | DOI Listing |
Mol Cancer
January 2025
Department of Radiation Oncology, Peking University Third Hospital, Beijing, 100191, China.
Background: Sorafenib, an FDA-approved drug for advanced hepatocellular carcinoma (HCC), faces resistance issues, partly due to myeloid-derived suppressor cells (MDSCs) that enhance immunosuppression in the tumor microenvironment (TME).
Methods: Various murine HCC cell lines and MDSCs were used in a series of in vitro and in vivo experiments. These included subcutaneous tumor models, cell viability assays, flow cytometry, immunohistochemistry, and RNA sequencing.
Microbiome
January 2025
Key Laboratory for Agro-Ecological Processes in Subtropical Region, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha, Hunan, China.
Background: The microbes residing in ruminant gastrointestinal tracts play a crucial role in converting plant biomass to volatile fatty acids, which serve as the primary energy source for ruminants. This gastrointestinal tract comprises a foregut (rumen) and hindgut (cecum and colon), which differ in structures and functions, particularly with respect to feed digestion and fermentation. While the rumen microbiome has been extensively studied, the cecal microbiome remains much less investigated and understood, especially concerning the assembling microbial communities and overriding pathways of hydrogen metabolism.
View Article and Find Full Text PDFLipids Health Dis
January 2025
Institute of Health, Oslo New University College, Ullevålsveien 76, Oslo, 0454, Norway.
Evolutionary perspectives have yielded profound insights in health and medical sciences. A fundamental recognition is that modern diet and lifestyle practices are mismatched with the human physiological constitution, shaped over eons in response to environmental selective pressures. This Darwinian angle can help illuminate and resolve issues in nutrition, including the contentious issue of fat consumption.
View Article and Find Full Text PDFBMC Microbiol
January 2025
The Gynecology Department of Beijing Obstetrics and Gynecology Hospital, Beijing Maternal and Child Health Care Hospital, Capital Medical University, No.251 of Yaojiayuan Road, Chaoyang district, Beijing, China.
Background: Tuberculosis remains an infectious disease of global concern, with potential impacts on respiratory and intestinal microbiota owing to prolonged broad-spectrum antibiotic therapy. Despite its potential to cause infertility, the vaginal microbiota of women with genital tuberculosis remains poorly understood. We comprehensively analyzed the vaginal microbiota in Chinese women with genital tuberculosis.
View Article and Find Full Text PDFBMC Gastroenterol
January 2025
Health Management Center, the First Affiliated Hospital of Zhejiang University School of Medicine, No.79 Qingchun Road, Shangcheng District, Hangzhou, Zhejiang, China.
Objectives: Over 30% of people worldwide suffer from metabolic dysfunction-associated steatotic liver disease (MASLD), a significant global health issue. Identifying and preventing high-risk individuals for MASLD early is crucial. The purpose of our study is to investigate the factors related to the development of MASLD and develop a risk prediction model for its occurrence.
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