GeroScience, Год журнала: 2024, Номер unknown
Опубликована: Ноя. 27, 2024
Язык: Английский
Cell, Год журнала: 2024, Номер 187(22), С. 6358 - 6378.e29
Опубликована: Сен. 12, 2024
Язык: Английский
Процитировано
44
ESC Heart Failure, Год журнала: 2024, Номер unknown
Опубликована: Июль 22, 2024
Abstract Systemic aging influences various physiological processes and contributes to structural functional decline in cardiac tissue. These alterations include an increased incidence of left ventricular hypertrophy, a diastolic function, atrial dilation, fibrillation, myocardial fibrosis amyloidosis, elevating susceptibility chronic heart failure (HF) the elderly. Age‐related dysfunction stems from prolonged exposure genomic, epigenetic, oxidative, autophagic, inflammatory regenerative stresses, along with accumulation senescent cells. Concurrently, age‐related changes vascular system, attributed endothelial dysfunction, arterial stiffness, impaired angiogenesis, oxidative stress inflammation, impose additional strain on heart. Dysregulated mechanosignalling nitric oxide signalling play critical roles associated HF. Metabolic drives intricate shifts glucose lipid metabolism, leading insulin resistance, mitochondrial within cardiomyocytes. contribute contractility, ultimately propelling low‐grade conjunction senescence‐associated secretory phenotype, aggravates age by promoting immune cell infiltration into myocardium, fostering This is further exacerbated comorbidities like coronary artery disease (CAD), atherosclerosis, hypertension, obesity, diabetes kidney (CKD). CAD atherosclerosis induce ischaemia adverse remodelling, while hypertension hypertrophy fibrosis. Obesity‐associated inflammation dyslipidaemia create profibrotic environment, whereas diabetes‐related metabolic disturbances impair function. CKD‐related fluid overload, electrolyte imbalances uraemic toxins exacerbate HF through systemic neurohormonal renin‐angiotensin‐aldosterone system (RAAS) activation. Recognizing as modifiable process has opened avenues target both lifestyle interventions therapeutics. Exercise, known for its antioxidant effects, can partly reverse pathological remodelling elderly countering linked HF, such senescence declining cardiomyocyte regeneration. Dietary plant‐based ketogenic diets, caloric restriction macronutrient supplementation are instrumental maintaining energy balance, reducing adiposity addressing micronutrient Therapeutic advancements targeting underway. Key approaches senomorphics senolytics limit senescence, antioxidants stress, anti‐inflammatory drugs interleukin (IL)‐1β inhibitors, rejuvenators nicotinamide riboside, resveratrol sirtuin (SIRT) activators autophagy enhancers metformin sodium‐glucose cotransporter 2 (SGLT2) all which offer potential preserving function alleviating burden.
Язык: Английский
Процитировано
9
GeroScience, Год журнала: 2025, Номер unknown
Опубликована: Янв. 3, 2025
Abstract Aging is a complex biological process influenced by various factors, including genetic and environmental influences. In this study, we present BayesAge 2.0, an upgraded version of our maximum likelihood algorithm designed for predicting transcriptomic age (tAge) from RNA-seq data. Building on the original framework, which was developed epigenetic prediction, 2.0 integrates Poisson distribution to model count-based gene expression data employs LOWESS smoothing capture nonlinear gene-age relationships. provides significant improvements over traditional linear models, such as Elastic Net regression. Specifically, it addresses issues bias in predictions, with minimal age-associated observed residuals. Its computational efficiency further distinguishes reference construction cross-validation are completed more quickly compared regression, requires extensive hyperparameter tuning. Overall, represents step forward tAge offering robust, accurate, efficient tool aging research biomarker development.
Язык: Английский
Процитировано
1
Nature Aging, Год журнала: 2025, Номер unknown
Опубликована: Март 5, 2025
Aging affects human immune system functionality, increasing susceptibility to immune-mediated diseases. While gene expression programs accurately reflect function, their relationship with biological aging and health status remains unclear. Here we developed robust, cell-type-specific clocks (sc-ImmuAging) for the myeloid lymphoid cell populations in circulation within peripheral blood mononuclear cells, using single-cell RNA-sequencing data from 1,081 healthy individuals aged 18 97 years. Application of sc-ImmuAging transcriptome patients COVID-19 revealed notable age acceleration monocytes, which decreased during recovery. Furthermore, inter-individual variations induced by vaccination were identified, exhibiting elevated baseline interferon response genes showing rejuvenation CD8+ T cells after BCG vaccination. provides a powerful tool decoding dynamics, offering insights into age-related alterations potential interventions promote aging.
Язык: Английский
Процитировано
1
Aging, Год журнала: 2025, Номер unknown
Опубликована: Янв. 16, 2025
With the global population aging at an unprecedented rate, there is a need to extend healthy productive life span. This review examines how Deep Learning (DL) and Generative Artificial Intelligence (GenAI) are used in biomarker discovery, deep clock development, geroprotector identification generation of dual-purpose therapeutics targeting disease. The paper explores emergence multimodal, multitasking research systems highlighting promising future directions for GenAI human animal research, as well clinical application longevity medicine.
Язык: Английский
Процитировано
0
Human Gene, Год журнала: 2025, Номер 44, С. 201397 - 201397
Опубликована: Март 5, 2025
Язык: Английский
Процитировано
0
Advances in computational intelligence and robotics book series, Год журнала: 2024, Номер unknown, С. 187 - 218
Опубликована: Сен. 18, 2024
This research examines how biological ageing presents opportunities for Artificial Intelligence (AI). It aims to analyze AI's role in understanding and disease, evaluate recent AI applications research, assess the feasibility of integration studies, explore growth longevity medicine, investigate advantages technologies. Using secondary data analysis, study identifies gaps explores potential benefits. Study critical analysis theory, age, deep clocks. The also evaluates effectiveness integrating medicine. significance is that it emphasizes care support rehabilitation services people. Ultimately, understand advancing its implications effectively utilizes protects health data, improves geriatric care.
Язык: Английский
Процитировано
1
bioRxiv (Cold Spring Harbor Laboratory), Год журнала: 2024, Номер unknown
Опубликована: Сен. 19, 2024
Abstract Aging is a complex biological process influenced by various factors, including genetic and environmental influences. In this study, we present BayesAge 2.0, an improved version of our maximum likelihood algorithm designed for predicting transcriptomic age (tAge) from RNA-seq data. Building on the original framework, which was developed epigenetic prediction, 2.0 integrates Poisson distribution to model count-based gene expression data employs LOWESS smoothing capture non-linear gene-age relationships. provides significant improvements over traditional linear models, such as Elastic Net regression. Specifically, it addresses issues bias in predictions, with minimal age-associated observed residuals. Its computational efficiency further distinguishes reference construction cross-validation are completed more quickly compared regression, requires extensive hyperparameter tuning. Overall, represents notable advance offering robust, accurate, efficient tool aging research biomarker development.
Язык: Английский
Процитировано
1
medRxiv (Cold Spring Harbor Laboratory), Год журнала: 2024, Номер unknown
Опубликована: Апрель 22, 2024
Abstract Existing metabolomic clocks exhibit deficiencies in capturing the heterogeneous aging rates among individuals with same chronological age. Yet, modifiable and non-modifiable factors have not been systematically studied. Here, we leveraged profiles of 239,291 UK Biobank participants for 10-year all-cause mortality prediction to generate validate a new measure--MetaboAgeMort. The MetaboAgeMort showed significant associations mortality, cause-specific diverse incident diseases. Adding conventional risk model improved predictive ability mortality. We identified 99 MetaboAgeMort, where 16 representing pulmonary function, body composition, socioeconomic status, dietary quality, smoking alcohol intake, disease status quantitatively stronger associations. genetic analyses revealed genomic loci 271 genes associated MetaboAgeMort. Our study illuminates across age, which provides avenues developing anti-aging therapies personalized interventions.
Язык: Английский
Процитировано
0
bioRxiv (Cold Spring Harbor Laboratory), Год журнала: 2024, Номер unknown
Опубликована: Авг. 26, 2024
Abstract Complex lipids, essential components in biological processes, exhibit conserved age-related changes that alter membrane properties, cellular functions, and are implicated as biomarkers contributors to longevity diseases. While physical activity alleviates comorbidities impairments, comprehensive exploration of the underlying mechanisms, particularly at level complex remains limited. However, clinical studies suggest may counteract these lipidomic changes, presenting a promising avenue for intervention. We performed profiling plasma from an extensively characterized cohort young aged individuals. Annotating 1446 unique lipid species across 24 classes we found most prominent difference older adults was accumulation triacylglycerols (TGs), with lower levels associated higher TG reduced functionality. Remarkably, class did not accumulate uniformly. Rather, our study unveiled negative correlation between TGs shorter chain length more double bonds this demographic. Overall, research highlights saturation can help mark healthy aging groups humans. These findings deepen understanding how affects influence on process.
Язык: Английский
Процитировано
0