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The visual system is essential for human perception, converting light signals into electrical impulses and transmitting them to the brain to process environmental information. As individuals age, their physiological functions gradually decline, leading to age-related vision impairment that significantly impacts the quality of life in elderly individuals. China is home to the world's largest aging population and faces significant challenges in combating visual system aging through effective treatments and interventions. In response to this challenge, the Aging Biomarker Consortium (ABC) of China has developed a consensus statement on biomarkers of visual system aging by integrating cutting-edge global research and synthesizing evidence-based medicine with clinical expertise. This consensus provides a multi-dimensional evaluation framework encompassing functional, morphological, and molecular biomarkers. Validated biomarkers for each domain are recommended not only to facilitate the early detection of vision changes but also to provide insights into the progression of age-related ocular diseases. By advancing this initiative, ABC aims to revolutionize visual health management in aging societies, ultimately improving outcomes for elderly populations in China and globally.
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http://dx.doi.org/10.1093/lifemedi/lnaf023 | DOI Listing |
Lipids Health Dis
September 2025
Department of Gastroenterology, Weifang People's Hospital, The First Affiliated Hospital of Shandong Second Medical University, 151 Guangwen Street, Weifang, Shandong, 261000, China.
Background: Current scoring systems for hypertriglyceridaemia-induced acute pancreatitis (HTG-AP) severity are few and lack reliability. The present work focused on screening predicting factors for HTG-SAP, then constructing and validating the visualization model of HTG-AP severity by combining relevant metabolic indexes.
Methods: Between January 2020 and December 2024, retrospective clinical information for HTG-AP inpatients from Weifang People's Hospital was examined.
BMC Musculoskelet Disord
September 2025
Department of Clinical Sciences at Danderyds Hospital, Department of Orthopedic Surgery, Karolinska Institutet, Stockholm, 182 88, Sweden.
Background: This study evaluates the accuracy of an Artificial Intelligence (AI) system, specifically a convolutional neural network (CNN), in classifying elbow fractures using the detailed 2018 AO/OTA fracture classification system.
Methods: A retrospective analysis of 5,367 radiograph exams visualizing the elbow from adult patients (2002-2016) was conducted using a deep neural network. Radiographs were manually categorized according to the 2018 AO/OTA system by orthopedic surgeons.
Metabolomics
September 2025
Toxalim (Research Centre in Food Toxicology), Université de Toulouse, INRAE, ENVT, INP-Purpan, UPS, Toulouse, France.
Introduction: Initially developed for transcriptomics data, pathway analysis (PA) methods can introduce biases when applied to metabolomics data, especially if input parameters are not chosen with care. This is particularly true for exometabolomics data, where there can be many metabolic steps between the measured exported metabolites in the profile and internal disruptions in the organism. However, evaluating PA methods experimentally is practically impossible when the sample's "true" metabolic disruption is unknown.
View Article and Find Full Text PDFNat Aging
September 2025
Aging Biomarker Consortium (ABC), Beijing, China.
The global surge in the population of people 60 years and older, including that in China, challenges healthcare systems with rising age-related diseases. To address this demographic change, the Aging Biomarker Consortium (ABC) has launched the X-Age Project to develop a comprehensive aging evaluation system tailored to the Chinese population. Our goal is to identify robust biomarkers and construct composite aging clocks that capture biological age, defined as an individual's physiological and molecular state, across diverse Chinese cohorts.
View Article and Find Full Text PDFBiotechnol Lett
September 2025
Department of Chemical Engineering, Hongik University, Sangsu-dong, Mapo-gu, Seoul, 04066, Republic of Korea.
The cell surface display system employs carrier proteins to present target proteins on the outer membrane of cells. This system enables functional proteins to be exposed on the exterior of living cells without cell lysis, allowing direct interaction with the surrounding environment. A major limitation of conventional approaches is the difficulty in displaying large-sized enzymes or antibodies, despite their critical roles in applications requiring functional domains that must remain intact, such as catalytic or antigen-binding sites.
View Article and Find Full Text PDF