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J Anim Sci
January 2025
Department of Animal Science, South Dakota State University, Brookings, SD, USA.
The objective was to evaluate growth performance and carcass traits of finishing beef heifers sourced and finished in different regions in the U.S. Heifers [n = 190; initial body weight (BW) 483 ± 0.
View Article and Find Full Text PDFJ Am Soc Nephrol
January 2025
State Key Laboratory of Natural Medicines, China Pharmaceutical University, Nanjing, 210009, China.
Background: Cardiac surgery-associated acute kidney injury is a common serious complication after cardiac surgery. Currently, there are no specific pharmacological therapies. Our understanding of its pathophysiology remains preliminary.
View Article and Find Full Text PDFJ Am Soc Nephrol
January 2025
Division of Tuberculosis Elimination, Centers for Disease Control and Prevention, Atlanta, Georgia.
Background: People with chronic kidney disease (CKD) have a higher risk for progression to tuberculosis disease following infection with Mycobacterium tuberculosis. We produced a nationwide incidence estimate and description of tuberculosis among people with kidney failure.
Methods: We completed a cross-sectional descriptive analysis of people with a reported case of tuberculosis in the United States between 2010 and 2021.
JMIR Form Res
January 2025
Greenslopes Private Hospital, Gallipoli Medical Research, Brisbane, Australia.
Background: The transition from military service to civilian life presents a variety of challenges for veterans, influenced by individual factors such as premilitary life, length of service, and deployment history. Mental health issues, physical injuries, difficulties in relationships, and identity loss compound the reintegration process. To address these challenges, various face-to-face and internet-based programs are available yet underused.
View Article and Find Full Text PDFAnn Med
December 2025
Department of Neurosurgery, The Affiliated Hospital of Guizhou Medical University, Guiyang, Guizhou, PR China.
Objective: This study aims to explore the role of exosome-related genes in breast cancer (BRCA) metastasis by integrating RNA-seq and single-cell RNA-seq (scRNA-seq) data from BRCA samples and to develop a reliable prognostic model.
Methods: Initially, a comprehensive analysis was conducted on exosome-related genes from the BRCA cohort in The Cancer Genome Atlas (TCGA) database. Three prognostic genes (JUP, CAPZA1 and ARVCF) were identified through univariate Cox regression and Lasso-Cox regression analyses, and a metastasis-related risk score model was established based on these genes.
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