Age-related macular degeneration (AMD) is a progressive disorder and the leading cause of central vision loss. Age is the most important risk factor, followed by genetics and smoking. However, ageing is a complex process, and biological age can deviate from chronological age between individuals and within different organ systems. Initially, we used machine learning to predict the biological age of the immune, cardiovascular, pulmonary, renal, musculoskeletal, metabolic and hepatic systems by analysing various physiological and physical markers in the UK Biobank cohort. Then, we investigated the association of each organ's biological age with incident AMD derived from electronic health record data as well as with different AMD genetic risk scores. We observed that most organ systems in participants who developed AMD after recruitment showed accelerated ageing compared with controls, with the immune system being the most affected, especially in younger males. Surprisingly, we found that AMD patients showed slower ageing of their hepatic system compared to controls, particularly in female patients. The overall AMD genetic risk score was associated with faster organ ageing across all tissues except cardiovascular and pulmonary, while genetic risk scores stratified by pathways differently influenced each organ system. In conclusion, we found differential organ ageing associated with AMD. Significantly, genetic risk variants of AMD are associated with differential ageing of various organ systems.
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http://dx.doi.org/10.1111/acel.14473 | DOI Listing |
J Med Virol
January 2025
Department of Veterinary and Biomedical Sciences, College of Veterinary Medicine, University of Minnesota, Twin Cities, Minnesota, USA.
Addict Biol
January 2025
Department of Psychiatry and Psychotherapy, Charité - Universitätsmedizin Berlin, Berlin, Germany.
The ability of environmental cues to trigger alcohol-seeking behaviours is thought to facilitate problematic alcohol use. Individuals' tendency to attribute incentive salience to cues may increase the risk of addiction. We sought to study the relationship between incentive salience and alcohol addiction using non-preferring rats to model the heterogeneity of human alcohol consumption, investigating both males and females.
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January 2025
Division of Cardiology, Department of Medicine, University of California, San Francisco (L.C., S.D., D.B., J.J.T., Q.F., L.T., A.H.R., R.J., S.H., H.H.H., Z.H.T., N.B.S., F.N.D.).
Background: A subset of patients with mitral valve prolapse (MVP), a highly heritable condition, experience sudden cardiac arrest (SCA) or sudden cardiac death (SCD). However, the inheritance of phenotypic imaging features of arrhythmic MVP remains unknown.
Methods: We recruited 23 MVP probands, including 9 with SCA/SCD and 14 with frequent/complex ventricular ectopy.
Hum Reprod Open
November 2024
Department of Medical Informatics, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.
Study Question: How accurately can artificial intelligence (AI) models predict sperm retrieval in non-obstructive azoospermia (NOA) patients undergoing micro-testicular sperm extraction (m-TESE) surgery?
Summary Answer: AI predictive models hold significant promise in predicting successful sperm retrieval in NOA patients undergoing m-TESE, although limitations regarding variability of study designs, small sample sizes, and a lack of validation studies restrict the overall generalizability of studies in this area.
What Is Known Already: Previous studies have explored various predictors of successful sperm retrieval in m-TESE, including clinical and hormonal factors. However, no consistent predictive model has yet been established.
Front Pharmacol
December 2024
Department of Urology, Affiliated Hospital of North Sichuan Medical College, Nanchong, Sichuan, China.
Objective: This research project aimed to identify and analyze the top 30 drugs most commonly associated with kidney stone formation using data from the U.S. Food and Drug Administration's Adverse Event Reporting System (FAERS) database.
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