The Quest for Eternal Youth: Hallmarks of Aging and Rejuvenating Therapeutic Strategies DOI Creative Commons
Vharoon Sharma Nunkoo,

Alexander Cristian,

Anamaria Jurcău

et al.

Biomedicines, Journal Year: 2024, Volume and Issue: 12(11), P. 2540 - 2540

Published: Nov. 7, 2024

The impressive achievements made in the last century extending lifespan have led to a significant growth rate of elderly individuals populations across world and an exponential increase incidence age-related conditions such as cardiovascular diseases, diabetes mellitus type 2, neurodegenerative diseases. To date, geroscientists identified 12 hallmarks aging (genomic instability, telomere attrition, epigenetic alterations, loss proteostasis, impaired macroautophagy, mitochondrial dysfunction, nutrient sensing, cellular senescence, stem cell exhaustion, defective intercellular communication, chronic inflammation, gut dysbiosis), intricately linked among each other, which can be targeted with senolytic or senomorphic drugs, well more aggressive approaches cell-based therapies. side effects seriously limit use these drugs. However, since rejuvenation is dream mankind, future research expected improve tolerability available drugs highlight novel strategies. In meantime, medical community, healthcare providers, society should decide when start treatments how tailor them individually.

Language: Английский

Hallmarks of aging: An expanding universe DOI Creative Commons
Carlos López‐Otín, Marı́a A. Blasco, Linda Partridge

et al.

Cell, Journal Year: 2023, Volume and Issue: 186(2), P. 243 - 278

Published: Jan. 1, 2023

Language: Английский

Citations

2817

Meta-hallmarks of aging and cancer DOI Creative Commons
Carlos López‐Otín, Federico Pietrocola, David Roiz‐Valle

et al.

Cell Metabolism, Journal Year: 2023, Volume and Issue: 35(1), P. 12 - 35

Published: Jan. 1, 2023

Language: Английский

Citations

274

The landscape of aging DOI Open Access
Yusheng Cai, Wei Song, Jiaming Li

et al.

Science China Life Sciences, Journal Year: 2022, Volume and Issue: 65(12), P. 2354 - 2454

Published: Sept. 2, 2022

Language: Английский

Citations

243

Making sense of the ageing methylome DOI
Kirsten Seale, Steve Horvath, Andrew E. Teschendorff

et al.

Nature Reviews Genetics, Journal Year: 2022, Volume and Issue: 23(10), P. 585 - 605

Published: May 2, 2022

Language: Английский

Citations

175

Gene–environment interactions in Alzheimer disease: the emerging role of epigenetics DOI
Lucia Migliore, Fabio Coppedè

Nature Reviews Neurology, Journal Year: 2022, Volume and Issue: 18(11), P. 643 - 660

Published: Sept. 30, 2022

Language: Английский

Citations

122

Role of the Gut Microbiota and Its Metabolites in Tumorigenesis or Development of Colorectal Cancer DOI Creative Commons
Ruize Qu, Yi Zhang,

Yanpeng Ma

et al.

Advanced Science, Journal Year: 2023, Volume and Issue: 10(23)

Published: June 1, 2023

Colorectal cancer (CRC) is the most common of digestive system with high mortality and morbidity rates. Gut microbiota found in intestines, especially colorectum, has structured crosstalk interactions host that affect several physiological processes. The gut include CRC-promoting bacterial species, such as Fusobacterium nucleatum, Escherichia coli, Bacteroides fragilis, CRC-protecting Clostridium butyricum, Streptococcus thermophilus, Lacticaseibacillus paracasei, which along other microorganisms, viruses fungi, play critical roles development CRC. Different features are identified patients early-onset CRC, combined different patterns between fecal intratumoral microbiota. may be beneficial diagnosis treatment CRC; some bacteria serve biomarkers while others regulators chemotherapy immunotherapy. Furthermore, metabolites produced by essential CRC cells. Harmful primary bile acids short-chain fatty acids, whereas others, including ursodeoxycholic acid butyrate, impede tumor progression. This review focuses on its metabolites, their potential development, diagnosis,

Language: Английский

Citations

106

Chrono-Nutrition: Circadian Rhythm and Personalized Nutrition DOI Open Access
Marica Franzago,

Elisa Alessandrelli,

Stefania Notarangelo

et al.

International Journal of Molecular Sciences, Journal Year: 2023, Volume and Issue: 24(3), P. 2571 - 2571

Published: Jan. 29, 2023

The human circadian system has a period of approximately 24 h and studies on the consequences “chornodisruption” have greatly expanded. Lifestyle environmental factors modern societies (i.e., artificial lighting, jetlag, shift work, around-the-clock access to energy-dense food) can induce disruptions thereby adversely affect individual health. Growing evidence demonstrates complex reciprocal relationship between metabolism system, in which perturbations one other one. From nutritional genomics perspective, genetic variants clock genes both influence metabolic health modify response diet. Moreover, an interplay rhythm, gut microbiome, epigenome been demonstrated, with diet turn able modulate this link suggesting remarkable plasticity underlying mechanisms. In view, study impact timing eating by matching elements from research chrono-biology, that is, chrono-nutrition, could significant implications for personalized nutrition terms reducing prevalence burden chronic diseases. This review provides overview current interactions nutrition, highlighting how microbiome. addition, possible strategies manage circadian-aligned feeding are suggested.

Language: Английский

Citations

59

A systematic framework for understanding the microbiome in human health and disease: from basic principles to clinical translation DOI Creative Commons

Ziqi Ma,

Tao Zuo, Norbert Frey

et al.

Signal Transduction and Targeted Therapy, Journal Year: 2024, Volume and Issue: 9(1)

Published: Sept. 23, 2024

Language: Английский

Citations

20

Biologically informed deep learning for explainable epigenetic clocks DOI Creative Commons

Aurél Prósz,

Orsolya Pipek, Judit Börcsök

et al.

Scientific Reports, Journal Year: 2024, Volume and Issue: 14(1)

Published: Jan. 15, 2024

Abstract Ageing is often characterised by progressive accumulation of damage, and it one the most important risk factors for chronic disease development. Epigenetic mechanisms including DNA methylation could functionally contribute to organismal aging, however key functions biological processes may govern ageing are still not understood. Although age predictors called epigenetic clocks can accurately estimate an individual based on cellular methylation, their models have limited ability explain prediction algorithm behind underlying controlling ageing. Here we present XAI-AGE, a biologically informed, explainable deep neural network model accurate across multiple tissue types. We show that XAI-AGE outperforms first-generation achieves similar results learning-based models, while opening up possibility infer meaningful insights activity pathways other abstract directly from model.

Language: Английский

Citations

17

Coffee drinking timing and mortality in US adults DOI Creative Commons
Xuan Wang, Hao Ma, Qi Sun

et al.

European Heart Journal, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 8, 2025

Abstract Background and Aims To identify the patterns of coffee drinking timing in US population evaluate their associations with all-cause cause-specific mortality. Methods This study included 40 725 adults from National Health Nutrition Examination Survey 1999–2018 who had complete information on dietary data 1463 Women’s Men’s Lifestyle Validation Study 7-day record. Clustering analysis was used to timing. Results In this observational study, two distinct [morning type (36% participants) all-day-type (14% participants)] were identified validated Study. During a median (interquartile range) follow-up 9.8 (9.1) years, total 4295 deaths, 1268 cardiovascular disease 934 cancer deaths recorded. After adjustment for caffeinated decaffeinated intake amounts, sleep hours, other confounders, morning-type pattern, rather than significantly associated lower risks (hazard ratio: .84; 95% confidential interval: .74–.95) disease-specific .69; .55–.87) mortality as compared non-coffee drinking. Coffee modified association between amounts (P-interaction = .031); higher risk participants pattern but not those pattern. Conclusions Drinking morning may be more strongly later day.

Language: Английский

Citations

5