The solution conformation of human big endothelin-1, a 38-residue peptide which serves as the putative precursor to the potent vasoconstrictor endothelin-1 has been examined by 1H NMR. NOEs were utilized as distance restraints in the distance geometry program DSPACE to generate initial structures. Further refinement of these structures was accomplished through molecular mechanics/molecular dynamics in an iterative process involving the incorporation of stereospecific assignments of prochiral centers and the use of back-calculation of NOESY spectra. A family of structures consisting of a type II beta-turn for residues 5-8 and an alpha-helix extending from residues 9-16 constitute a well-defined region, as reflected by the atomic root-mean-square (RMS) difference of 1.56 A about the mean coordinate positions of the backbone atoms (N, C, C alpha and O). This core region (residues 1-15) is very similar to the core residues of endothelin-1 (Donlan, M. et al. (1991) J. Cell. Biochemistry, S15G, 85). While the evidence from NOESY and coupling constant data suggests that the C-terminal region, residues 17-34, is not a mixture of randomly distributed chain conformations, it is also not consistent with a single chain conformation. Under the conditions studied, residues 17-38 in human big endothelin-1 in water at pH 3.0 between 20-30 degrees C appear to be represented by a series of conformers in dynamic equilibrium.
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JMIR Med Inform
March 2025
Department of Critical Care Medicine, Beijing Tiantan Hospital, Capital Medical University, No.119 Nansihuanxi Road, Fengtai District, Beijing, 100070, China, 86 17611757717.
Background: Publicly accessible critical care-related databases contain enormous clinical data, but their utilization often requires advanced programming skills. The growing complexity of large databases and unstructured data presents challenges for clinicians who need programming or data analysis expertise to utilize these systems directly.
Objective: This study aims to simplify critical care-related database deployment and extraction via large language models.
Front Public Health
March 2025
Department of Medical Quality Management, The First Affiliated Hospital with Nanjing Medical University, Nanjing, China.
Background: Multimorbidity of chronic diseases has become an increasingly serious public health problem. However, the research on the current situation of multimorbidity in the older adults in Jiangsu, China is relatively lacking.
Methods: We surveyed a total of 229,926 inpatients aged above 60 and with two or more chronic diseases in the First Affiliated Hospital with Nanjing Medical University from January 1, 2015 to December 31, 2021.
Molecules
February 2025
Unité de Biologie Fonctionnelle et Adaptative, INSERM ERL 1133, CNRS UMR 8251, Université Paris Cité, F-75013 Paris, France.
G-protein coupled receptors (GPCRs) are the largest family of membrane proteins engaged in transducing signals from the extracellular environment into the cell. GPCR-biased signaling occurs when two different ligands, sharing the same binding site, induce distinct signaling pathways. This selective signaling offers significant potential for the design of safer and more effective drugs.
View Article and Find Full Text PDFBMC Public Health
March 2025
Nanjing University of Chinese Medicine, 138 Xianlin Avenue, Nanjing, Jiangsu, 210029, People's Republic of China.
Background: The findings of the 2021 Global Burden of Disease (GBD) study can offer valuable insights for the development of screening and prevention strategies targeting ischemic heart disease (IHD). We aim to investigate trends in IHD incidence, mortality, and disability-adjusted life years (DALYs), while exploring associated risk factors for IHD-associated death from 1990 to 2021.
Methods: The cross-sectional study utilized data from the GBD 2021, covering 204 countries and regions.
BMC Med Inform Decis Mak
March 2025
Berlin Institute of Health at Charité - Universitätsmedizin Berlin, Medical Informatics Group, Charitéplatz 1, 10117, Berlin, Germany.
Background: Pseudonymization is an important technique for the secure and compliant use of medical data in research. At its core, pseudonymization is a process in which directly identifying information is separated from medical research data. Due to its importance, a wide range of pseudonymization tools and services have been developed, and researchers face the challenge of selecting an appropriate tool for their research projects.
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