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Association of Mucin-Degrading Gut Microbiota and Dietary Patterns with Colonic Transit Time in Constipation: A Secondary Analysis of a Randomized Clinical Trial.
Nutrients
December 2024
Department of Bioconvergence, Hoseo University, 165 Sechul-Ri, BaeBang-Yup, Asan 31499, ChungNam-do, Republic of Korea.
Background: The relationship between gut microbiota composition, lifestyles, and colonic transit time (CTT) remains poorly understood. This study investigated associations among gut microbiota profiles, diet, lifestyles, and CTT in individuals with subjective constipation.
Methods: We conducted a secondary analysis of data from our randomized clinical trial, examining gut microbiota composition, CTT, and dietary intake in baseline and final assessments of 94 participants with subjective constipation.
Detection of Aspergilloma Disease Using Feature-Selection-Based Vision Transformers.
Diagnostics (Basel)
December 2024
Department of Management Information Systems, Faculty of Economics and Administrative Sciences, Firat University, 23119 Elazig, Turkey.
: Aspergilloma disease is a fungal mass found in organs such as the sinuses and lungs, caused by the fungus . This disease occurs due to the accumulation of mucus, inflamed cells, and altered blood elements. Various surgical methods are used in clinical settings for the treatment of aspergilloma disease.
View Article and Find Full Text PDFMedical history predicts phenome-wide disease onset and enables the rapid response to emerging health threats.
Nat Commun
January 2025
Center for Digital Health, Berlin Institute of Health (BIH), Charite - University Medicine Berlin, Berlin, Germany.
The COVID-19 pandemic exposed a global deficiency of systematic, data-driven guidance to identify high-risk individuals. Here, we illustrate the utility of routinely recorded medical history to predict the risk for 1741 diseases across clinical specialties and support the rapid response to emerging health threats such as COVID-19. We developed a neural network to learn from health records of 502,489 UK Biobank participants.
View Article and Find Full Text PDFLearning the language of antibody hypervariability.
Proc Natl Acad Sci U S A
January 2025
Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA 02139.
Protein language models (PLMs) have demonstrated impressive success in modeling proteins. However, general-purpose "foundational" PLMs have limited performance in modeling antibodies due to the latter's hypervariable regions, which do not conform to the evolutionary conservation principles that such models rely on. In this study, we propose a transfer learning framework called Antibody Mutagenesis-Augmented Processing (AbMAP), which fine-tunes foundational models for antibody-sequence inputs by supervising on antibody structure and binding specificity examples.
View Article and Find Full Text PDFDevelopment of coumarin-inspired bifunctional hybrids as a new class of anti-Alzheimer's agents with potent efficacy.
RSC Med Chem
December 2024
Department of Pharmaceutical Sciences, Guru Nanak Dev University Amritsar Punjab 143005 India
Considering the multifactorial and complex nature of Alzheimer's disease and the requirement of an optimum multifunctional anti-Alzheimer's agent, a series of triazole tethered coumarin-eugenol hybrid molecules was designed as potential multifunctional anti-Alzheimer's agents using donepezil and a template. The designed hybrid molecules were synthesized a click chemistry approach and preliminarily screened for cholinesterase and Aβ aggregation inhibition. Among them, AS15 emerged as a selective inhibitor of AChE (IC = 0.
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