Analysis of genetic and clinical features in neuro disorders using deep learning models DOI

Elisabeth Thomas,

S. N. Kumar,

Anandhu Venu

et al.

Elsevier eBooks, Journal Year: 2024, Volume and Issue: unknown, P. 411 - 431

Published: Nov. 29, 2024

Language: Английский

Exposure to residential green and blue space and the natural environment is associated with a lower incidence of psychiatric disorders in middle-aged and older adults: findings from the UK Biobank DOI Creative Commons
Bao-Peng Liu, Rachel Huxley, Tamara Schikowski

et al.

BMC Medicine, Journal Year: 2024, Volume and Issue: 22(1)

Published: Jan. 15, 2024

Abstract Background There is increasing evidence for the role of environmental factors and exposure to natural environment on a wide range health outcomes. Whether green space, blue (GBN) associated with risk psychiatric disorders in middle-aged older adults has not been prospectively examined. Methods Longitudinal data from UK biobank was used. At study baseline (2006–2010), 363,047 participants (women: 53.4%; mean age 56.7 ± 8.1 years) who had previously diagnosed any disorder were included. Follow-up achieved by collecting records hospitals death registers. Measurements space modeled land use Land Cover Map assigned residential address each participant. Cox proportional hazard models adjustment potential confounders used explore longitudinal associations between GBN then specific (dementia, substance abuse, psychotic disorder, depression, anxiety) adults. Results During an average follow-up 11.5 2.8 years, 49,865 individuals disorders. Compared first tertile (lowest) exposure, at 300 m buffer [hazard ratio (HR): 0.973, 95% confidence interval (CI): 0.952–0.994] (HR: 0.970, CI: 0.948–0.992) 1000 0.975, 0.952–0.999) third (highest) significantly lower incident disorders, respectively. The dementia statistically decreased when exposed buffer. reduction 30.0%, 31.8%, 21.7%, 30.3% developing Subgroup analysis suggested that elderly, men, those living some comorbid conditions may derive greater benefits GBN. Conclusions This suggests significant lowering Future studies are warranted validate these findings understand mechanistic pathways underpinning novel findings.

Language: Английский

Citations

12

Association of biological age with health outcomes and its modifiable factors DOI Creative Commons

Wei‐Shi Liu,

Jia You,

Yi‐Jun Ge

et al.

Aging Cell, Journal Year: 2023, Volume and Issue: 22(12)

Published: Sept. 18, 2023

Abstract Identifying the clinical implications and modifiable unmodifiable factors of aging requires measurement biological age (BA) gap. Leveraging biomedical traits involved with physical measures, biochemical assays, genomic data, cognitive functions from healthy participants in UK Biobank, we establish an integrative BA model consisting multi‐dimensional indicators. Accelerated (age gap >3.2 years) at baseline is associated incident circulatory diseases, related chronic disorders, all‐cause, cause‐specific mortality. We identify 35 for ( p < 4.81 × 10 −4 ), where pulmonary functions, body mass, hand grip strength, basal metabolic rate, estimated glomerular filtration C‐reactive protein show most significant associations. Genetic analyses replicate possible associations between health‐related outcomes further CST3 as essential gene aging, which highly expressed brain immune traits. Our study profiles landscape provides insights into preventive strategies therapeutic targets aging.

Language: Английский

Citations

22

Heterogenous visual function deficits in intermediate age-related macular degeneration – A MACUSTAR report DOI Creative Commons

Hannah Dunbar,

David P. Crabb, Charlotte Behning

et al.

Ophthalmology Science, Journal Year: 2025, Volume and Issue: unknown, P. 100708 - 100708

Published: Jan. 1, 2025

Language: Английский

Citations

0

Equation Built by Multiple Adaptive Regression Spline to Estimate Biological Age in Healthy Postmenopausal Women in Taiwan DOI Creative Commons
Chun-Feng Chang, Ta-Wei Chu, Chi-Hao Liu

et al.

Diagnostics, Journal Year: 2025, Volume and Issue: 15(9), P. 1147 - 1147

Published: April 30, 2025

Background: Biological age (BA) is a better representative of health status than chronological (CA), as it uses different biological markers to quantify cellular and systemic change status. However, BA can be difficult accurately estimate using current methods. This study multiple adaptive regression spline (MARS) build an equation among healthy postmenopausal women, thereby potentially improving the efficiency accuracy assessment. Methods: A total 11,837 women were enrolled (≥51 years old), excluding participants with metabolic syndrome variable values outside two standard deviations. MARS was applied, results compared traditional linear (MLR). The method smaller degree estimation error considered more accurate. lower prediction errors yielded by MLR suggest that performs MLR. Results: derived from depicted. It could noted determined marriage, systolic blood pressure (SBP), diastolic (DBP), waist–hip ratio (WHR), alkaline phosphatase (ALP), lactate dehydrogenase (LDH), creatinine (Cr), carcinoembryonic antigen (CEA), bone mineral density (BMD), education level, income. generated. Conclusions: Using MARS, built in Taiwan. used reference for calculating general. Our showed most important factor BMD, followed WHR, Cr, marital status, income, CEA, pressure, ALP, LDH.

Language: Английский

Citations

0

Beyond chronological age: The role of biological age in neurosurgical decision-making in long-lived individuals DOI

Johana Patricia Galván-Barrios,

Jessica Manosalva-Sandoval

Journal of Clinical Neuroscience, Journal Year: 2025, Volume and Issue: unknown, P. 111142 - 111142

Published: Feb. 1, 2025

Language: Английский

Citations

0

Association of clinical biomarker-based biological age and aging trajectory with cardiovascular disease and all-cause mortality in Chinese adults: a population-based cohort study DOI Creative Commons

Qiaoyun Dai,

Huayu Sun,

Xueying Yang

et al.

BMC Public Health, Journal Year: 2025, Volume and Issue: 25(1)

Published: March 4, 2025

Evidence on the association of clinical biomarker-based biological age (BA) with cardiovascular disease (CVD) and mortality remains insufficient, particularly concerning aging trajectories' relationship these two outcomes. Seventy-five thousand five hundred thirty-seven Chinese adults from Kailuan study who participated in first checkup (2006-2007) were included. BA was predicted by 32 indicators using deep neural networks models. Aging status divided into decelerated, accelerated, normal based checkup. Six trajectories developed initial three checkups. CVD followed up till December 31, 2021. After adjusting for chronological age, sex, education level, occupation, physical activity, smoking status, alcohol consumption, salt consumption habit, history hypertension, diabetes, dyslipidemia, as well use antihypertensive, antidiabetic, lipid-lowering drugs, Cox proportional hazard models showed that relative to aging, accelerated a risk factor (adjusted ratio [aHR], 1.17 [95% CI 1.11-1.23]) (aHR, [1.12-1.22]), while participants decelerated had lower 0.85 [0.80-0.90]) 0.86 [0.82-0.90]). Relative low-stable trajectory, other associated higher death, high-stable trajectory highest 1.62 [1.45-1.81]) 1.55 [1.41-1.71]). high-decreasing 0.76 [0.67-0.86]) death 0.78 [0.70-0.87]), decreasing-increasing [0.75-0.98]). Accelerated is mortality, whereas compared aging. Those persistently at high levels are both death; conversely, it act lowering continually maintaining reduced state effectively mitigates risks.

Language: Английский

Citations

0

Multivariate analysis of immunosenescence data in healthy humans and diverse diseases DOI Creative Commons
Ana Laura Añé-Kourí,

Julián Palomino,

Patricia Lorenzo-Luaces

et al.

Frontiers in Aging, Journal Year: 2025, Volume and Issue: 6

Published: April 16, 2025

Immunosenescence is a dynamic process, where both genetic and environmental factors account for the substantial inter-individual variability. This paper integrates all data on immunosenescence markers generated in our laboratory describes differences and/or similarities between individuals based their biological conditions (immunosenescence markers) associations with chronological age health status. The dataset consisted of immunological from healthy donors, centenarians, patients diagnosed chronic kidney disease, COVID-19 non-small cell lung cancer (NSCLC), treatment-naïve or treated platinum-based chemotherapy. To determine whether there are groups immunologically different despite clinical condition, cluster analysis was performed. Canonical discriminant performed to which variables characterize each cluster. There expression subjects pathological conditions, regardless age. Meanwhile, distribution clusters indicates presence two separate participants, one them characterized by high frequency naïve lymphocytes, other terminally differentiated lymphocyte subsets. Advanced NSCLC were same as group subjects. Additionally, centenarians belong than subjects, suggesting they might have unique immune signature. appears be more appropriate univariate single disease research. present work reveals relevant physiological contexts need deeper studies system.

Language: Английский

Citations

0

Biological Age Acceleration, Genetic Susceptibility, and Incident Glaucoma Risk DOI Creative Commons

Wei-Qi Song,

Wen-Fang Zhong,

Zhihao Li

et al.

Investigative Ophthalmology & Visual Science, Journal Year: 2025, Volume and Issue: 66(4), P. 47 - 47

Published: April 17, 2025

To evaluate the association of biological age acceleration with incident glaucoma risk and examine whether genetic predisposition modifies it. We included 318,556 UK Biobank participants without baseline glaucoma. Biological was calculated using Klemera-Doubal method Age (KDM-BA) PhenoAge algorithms. Hazard ratios (HRs) 95% confidence intervals (CIs) between glaucoma, their interaction were analyzed by Cox regression models. Mendelian randomization analyses investigated causal associations. After a median follow-up 13.5 years, 6553 developed associated an increased risk. Each 5-year increment in linked to higher (KDM-BA acceleration: HR, 1.12, CI, 1.07-1.16; acceleration, 1.09, 1.06-1.13). Biologically older had than younger 1.10, 1.05-1.16; 1.07, 1.02-1.13). Genetic modified these relationships (all P for interactions < 0.05). high highest 2.33, 2.15-2.52; 2.21, 2.05-2.38). No found analysis. risk, this relationship However, no established, further research is needed investigate nature association.

Language: Английский

Citations

0

The role of quality of life data as an endpoint for collecting real-world evidence within geroscience clinical trials DOI Creative Commons

Girish Harinath,

Sajad Zalzala,

Andy Nyquist

et al.

Ageing Research Reviews, Journal Year: 2024, Volume and Issue: 97, P. 102293 - 102293

Published: April 3, 2024

With geroscience research evolving at a fast pace, the need arises for human randomized controlled trials to assess efficacy of geroprotective interventions prevent age-related adverse outcomes, disease, and mortality in normative aging cohorts. However, confirm requires long-term costly approach as time event morbidity can be decades. While this could circumvented using sensitive biomarkers aging, current molecular, physiological, digital endpoints require further validation. In review, we discuss how collecting real-world evidence (RWE) by obtaining health data that is amenable collection from large heterogeneous populations setting help speed up validation interventions. Further, propose inclusion quality life (QoL) biomarker candidate endpoint clinical aid distinguishing healthy unhealthy aging. We highlight QoL assays accelerating studies gathering RWE on effects repurposed drugs support utilization within longevity medicine. Finally, summarize key metrics consider when implementing studies, present short-form 36 (SF-36) most well-suited endpoint.

Language: Английский

Citations

3

A Novel Metabolomic Aging Clock Predicting Health Outcomes and Its Genetic and Modifiable Factors DOI Creative Commons
Xueqing Jia,

Jiayao Fan,

Xucheng Wu

et al.

Advanced Science, Journal Year: 2024, Volume and Issue: unknown

Published: Sept. 27, 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, a new measure—MetaboAgeMort—is developed using profiles from 239,291 UK Biobank participants for 10‐year all‐cause mortality prediction. The MetaboAgeMort showed significant associations mortality, cause‐specific diverse incident diseases. Adding to conventional risk model improved predictive ability of mortality. A total 99 across seven categories are identified MetaboAgeMort. Among these, 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 tissue‐enrichment analysis enrichment liver. While external validation is required, this study illuminates age, providing avenues identifying high‐risk individuals, developing anti‐aging therapies, personalizing interventions, thus promoting healthy longevity.

Language: Английский

Citations

3