The identification of predictive markers of life span would help to unravel the underlying mechanisms influencing ageing and longevity. For this aim, 30 variables including immune functions, inflammatory-oxidative stress state and behavioural characteristics were investigated in ICR-CD1 female mice at the adult age (N = 38). Mice were monitored individually until they died and individual life spans were registered. Multiple linear regression was carried out to construct an Immunity model (adjusted R = 75.8%) comprising Macrophage chemotaxis and phagocytosis and Lymphoproliferation capacity, a Redox model (adjusted R = 84.4%) involving Reduced Glutathione and Malondialdehyde concentrations and Glutathione Peroxidase activity and a Behavioural model (adjusted R = 79.8%) comprising Internal Locomotion and Time spent in open arms indices. In addition, a Combined model (adjusted R = 92.4%) and an Immunity-Redox model (adjusted R = 88.7%) were also constructed by combining the above-mentioned selected variables. The models were also cross-validated using two different sets of female mice (N = 30; N = 40). Correlation between predicted and observed life span was 0.849 (P < 0.000) for the Immunity model, 0.691 (P < 0.000) for the Redox, 0.662 (P < 0.000) for the Behavioural and 0.840 (P < 0.000) for the Immunity-Redox model. Thus, these results provide a new perspective on the use of immune function, redox and behavioural markers as prognostic tools in ageing research.
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http://dx.doi.org/10.1016/j.mad.2019.111125 | DOI Listing |
J Imaging Inform Med
January 2025
Department of Software Convergence, Seoul Women's University, Hwarango 621, Nowongu, Seoul, 01797, Republic of Korea.
In this paper, we propose a method to address the class imbalance learning in the classification of focal liver lesions (FLLs) from abdominal CT images. Class imbalance is a significant challenge in medical image analysis, making it difficult for machine learning models to learn to classify them accurately. To overcome this, we propose a class-wise combination of mixture-based data augmentation (CCDA) method that uses two mixture-based data augmentation techniques, MixUp and AugMix.
View Article and Find Full Text PDFHypertens Res
January 2025
School of Medicine, College of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan; #155 Section 2, Linong Street, Taipei, 112, Taiwan.
To explore the effects of obstructive sleep apnea (OSA) on nocturnal changes in blood pressure (BP), we enrolled 2037 participants who underwent polysomnography (PSG) between 2019 and 2020 and examined BP changes before and after sleep. BP was measured in the evening and the following morning using an electronic wrist sphygmomanometer in the supine position. The severity of OSA was determined by PSG and graded based on the apnea/hypopnea index (AHI).
View Article and Find Full Text PDFWorld J Urol
January 2025
Division of Urology, Department of Surgery, The Hospital for Sick Children, Toronto, ON, Canada.
Objectives: To assess the complication rates associated with split versus intact appendix Mitrofanoff procedures using a single-center retrospective analysis and a systematic review with meta-analysis.
Subjects And Methods: The study comprised a retrospective cohort analysis at a single institution, analyzing patients who underwent a laparoscopic-assisted Mitrofanoff with or without splitting the appendix from 2005 to 2016. The focus was on complications related to both Mitrofanoff and ACE channels.
Nat Med
January 2025
Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot, Israel.
Sleep tests commonly diagnose sleep disorders, but the diverse sleep-related biomarkers recorded by such tests can also provide broader health insights. In this study, we leveraged the uniquely comprehensive data from the Human Phenotype Project cohort, which includes 448 sleep characteristics collected from 16,812 nights of home sleep apnea test monitoring in 6,366 adults (3,043 male and 3,323 female participants), to study associations between sleep traits and body characteristics across 16 body systems. In this analysis, which identified thousands of significant associations, visceral adipose tissue (VAT) was the body characteristic that was most strongly correlated with the peripheral apnea-hypopnea index, as adjusted by sex, age and body mass index (BMI).
View Article and Find Full Text PDFSci Rep
January 2025
Department of Endocrinology, Beijing Tongren Hospital, Capital Medical University, No.2, Xihuan South Road, Beijing Economic and Technological Development Zone, Daxing District, Beijing, China.
Spirometry findings, such as restrictive spirometry and airflow obstruction, are associated with renal outcomes. Effects of spirometry findings such as preserved ratio impaired spirometry (PRISm) and its trajectories on renal outcomes are unclear. This study aimed to investigate the impact of baseline and trajectories of spirometry findings on future chronic kidney disease (CKD) events.
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