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Refinement of a Published Gene-Physical Activity Interaction Impacting HDL-Cholesterol: Role of Sex and Lipoprotein Subfractions.
Genet Epidemiol
January 2025
Clinical and Translational Epidemiology Unit, Massachusetts General Hospital, Boston, Massachusetts, USA.
Large-scale gene-environment interaction (GxE) discovery efforts often involve analytical compromises for the sake of data harmonization and statistical power. Refinement of exposures, covariates, outcomes, and population subsets may be helpful to establish often-elusive replication and evaluate potential clinical utility. Here, we used additional datasets, an expanded set of statistical models, and interrogation of lipoprotein metabolism via nuclear magnetic resonance (NMR)-based lipoprotein subfractions to refine a previously discovered GxE modifying the relationship between physical activity (PA) and HDL-cholesterol (HDL-C).
View Article and Find Full Text PDFCell clustering is an essential step in uncovering cellular architectures in single cell RNA-sequencing (scRNA-seq) data. However, the existing cell clustering approaches are not well designed to dissect complex structures of cellular landscapes at a finer resolution. Here, we develop a multi-scale clustering (MSC) approach to construct sparse cell-cell correlation network for identifying de novo cell types and subtypes at multiscale resolution in an unsupervised manner.
View Article and Find Full Text PDFTrained immunity: from kidney failure to organ transplantation.
Nat Rev Nephrol
January 2025
Department of Nephrology and Hypertension, IIS-Fundacion Jimenez Diaz UAM, Madrid, Spain.
Text-guided small molecule generation via diffusion model.
iScience
November 2024
University of Science and Technology of China, Hefei, Anhui, China.
The generation of molecules with targeted properties is crucial in biology, chemistry, and drug discovery. Current generative models are limited to using single property values as conditions, struggling with complex customizations described in detailed human language. To address this, we propose the text guidance instead, and introduce TextSMOG, a new via , which integrates language and diffusion models for text-guided small molecule generation.
View Article and Find Full Text PDFDe novo discovery of cyclic peptide inhibitors of IL-11 signaling.
Bioorg Med Chem
November 2024
Takeda Development Center Americas, Inc., 9625 Towne Centre Drive, San Diego, CA 92121, USA.
Interleukin-11 (IL-11), a member of the IL-6 cytokine family, has potential pro-inflammatory and pro-fibrotic roles in pulmonary, hepatic, cardiovascular, renal and intestinal disease pathogenesis, including oncogenesis. The potential for therapeutic intervention in these disease spaces has therefore made the IL-11 signaling axis an attractive target in drug discovery, and antibody inhibitors of IL-11 signaling are currently under evaluation in Phase I/II clinical trials. While lower molecular weight small molecule and peptide inhibitors may offer the potential for improved tissue penetration, developability and manufacturing cost compared with a protein therapeutic, reports of such chemical matter in the literature are limited.
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