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http://dx.doi.org/10.1097/01.JAA.0000742980.13167.d1 | DOI Listing |
Comput Struct Biotechnol J
December 2024
Institute of Bioinformatics, University of Münster, Münster, Germany.
Microbiome studies aim to answer the following questions: which organisms are in the sample and what is their impact on the patient or the environment? To answer these questions, investigators have to perform comparative analyses on their classified sequences based on the collected metadata, such as treatment, condition of the patient, or the environment. The integrity of sequences, classifications, and metadata is paramount for the success of such studies. Still, the area of data management for the preliminary study results appears to be neglected.
View Article and Find Full Text PDFMucosal Immunol
January 2025
Gale and Ira Drukier Institute for Children's Health, Weill Cornell Medicine, New York, NY 10065, United States; Department of Pediatrics, Weill Cornell Medicine, New York, NY 10065, United States; Immunology and Microbial Pathogenesis Program, Weill Cornell Graduate School, New York, NY 10065, United States. Electronic address:
Our immune system and gut microbiota are intricately coupled from birth, both going through maturation during early life and senescence during aging almost in a synchronized fashion. The symbiotic relationship between the human host and microbiota is critically dependent on a healthy immune system to keep our microbiota in check, while the microbiota provides essential functions to promote the development and fitness of our immune system. The partnership between our immune system and microbiota is particularly important during early life, when microbial ligands and metabolites shape the development of the immune cells and immune tolerance; during aging, having sufficient beneficial gut bacteria is critical for the maintenance of intact mucosal barriers, immune metabolic fitness, and strong immunity against pathogens.
View Article and Find Full Text PDFGut Liver
January 2025
Department of Internal Medicine and Liver Research Institute, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Korea.
Background/aims: The incidence of steatotic liver disease (SLD) is increasing across all age groups as the incidence of obesity increases worldwide. The existing noninvasive prediction models for SLD require laboratory tests or imaging and perform poorly in the early diagnosis of infrequently screened populations such as young adults and individuals with healthcare disparities. We developed a machine learning-based point-of-care prediction model for SLD that is readily available to the broader population with the aim of facilitating early detection and timely intervention and ultimately reducing the burden of SLD.
View Article and Find Full Text PDFNutr Neurosci
January 2025
Neural Developmental Biology Lab, Department of Life Science, NIT Rourkela, Rourkela, Odisha, India.
Eur J Nutr
December 2024
Department of Medicine, University of Otago, PO Box 56, Dunedin, 9016, New Zealand.
Background: Legumes are widely considered one of the most beneficial food groups to consume. They are high in fibre and plant-based protein as well as naturally low in sodium, saturated fats, and sugars. However, legumes do not feature prominently in the modern diet, and previous evidence syntheses show inconsistent results on cardiometabolic risk profile when increasing legume intakes.
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