It remains unknown whether adiposity subtypes are differentially associated with colorectal cancer (CRC). To move beyond single-trait anthropometric indicators, we derived four multi-trait body shape phenotypes reflecting adiposity subtypes from principal components analysis on body mass index, height, weight, waist-to-hip ratio, and waist and hip circumference. A generally obese (PC1) and a tall, centrally obese (PC3) body shape were both positively associated with CRC risk in observational analyses in 329,828 UK Biobank participants (3728 cases). In genome-wide association studies in 460,198 UK Biobank participants, we identified 3414 genetic variants across four body shapes and Mendelian randomization analyses confirmed positive associations of PC1 and PC3 with CRC risk (52,775 cases/45,940 controls from GECCO/CORECT/CCFR). Brain tissue-specific genetic instruments, mapped to PC1 through enrichment analysis, were responsible for the relationship between PC1 and CRC, while the relationship between PC3 and CRC was predominantly driven by adipose tissue-specific genetic instruments. This study suggests distinct putative causal pathways between adiposity subtypes and CRC.
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http://dx.doi.org/10.1126/sciadv.adj1987 | DOI Listing |
Cell Rep
December 2024
Precision Cardiology Laboratory, The Broad Institute, Cambridge, MA 02142, USA; Cardiovascular Research Center, Massachusetts General Hospital, Boston, MA 02114, USA; Cardiology Division, Massachusetts General Hospital, Boston, MA 02114, USA. Electronic address:
We sought to characterize cellular composition across the cardiovascular system of the healthy Wistar rat, an important model in preclinical cardiovascular research. We performed single-nucleus RNA sequencing (snRNA-seq) in 78 samples in 10 distinct regions, including the four chambers of the heart, ventricular septum, sinoatrial node, atrioventricular node, aorta, pulmonary artery, and pulmonary veins, which produced 505,835 nuclei. We identified 26 distinct cell types and additional subtypes, with different cellular composition across cardiac regions and tissue-specific transcription for each cell type.
View Article and Find Full Text PDFJ Dent Res
December 2024
Division of Developmental Biology, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA.
Both the upper and lower jaws develop from cranial neural crest cells (CNCCs) populating the first pharyngeal arch in all gnathostomes. Previous studies showed that the Edn1/Ednra-Dlx5/Dlx6-Hand2 signaling pathway is necessary for lower jaw formation and that ectopic expression of or throughout the CNCCs partly transformed the upper jaw to lower jaw structures, but the molecular mechanisms regulating upper jaw development remain unclear. Here we show that the basic helix-loop-helix transcription factor Twist1 is required for upper jaw development.
View Article and Find Full Text PDFJ Inflamm (Lond)
December 2024
Lydia Becker Institute of Immunology and Inflammation, Division, Division of Immunology, Immunity to Infection and Respiratory Medicine, School of Biological Science, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, UK.
Basement membranes form part of the extracellular matrix (ECM), which is the structural basis for all tissue. Basement membranes are cell-adherent sheets found between cells and vascular endothelia, including those of the central nervous system (CNS). There is exceptional regional specialisation of these structures, both in tissue organisation and regulation of tissue-specific cellular processes.
View Article and Find Full Text PDFGigascience
January 2024
National Genomics Data Center, China National Center for Bioinformation, Beijing 100101, China.
Background: Exploring the cellular processes of genes from the aspects of biological networks is of great interest to understanding the properties of complex diseases and biological systems. Biological networks, such as protein-protein interaction networks and gene regulatory networks, provide insights into the molecular basis of cellular processes and often form functional clusters in different tissue and disease contexts.
Results: We present scGraph2Vec, a deep learning framework for generating informative gene embeddings.
Yale J Biol Med
December 2024
Department of Microbiology and Immunology, College of Veterinary Medicine, Cornell University, Ithaca, NY, USA.
In relation to ancient infections, a substantial number of retroviral sequences with persistent immunogenic potential were integrated within the human genome (HERVs). Under physiological conditions, coding sequences from HERVs can participate in cell/tissue homeostasis and physiological functions in an epigenetically controlled manner. However, HERV expression is susceptible to contribute to various pathologies, including autoinflammatory and autoimmune disorders, when reprogrammed by exogenous stimuli such as drugs or microbial infections.
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