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Ke TM, Lophatananon A, Muir KR. Exploring the Relationships between Lifestyle Patterns and Epigenetic Biological Age Measures in Men. Biomedicines 2024; 12:1985. [PMID: 39335499 PMCID: PMC11428654 DOI: 10.3390/biomedicines12091985] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2024] [Revised: 08/16/2024] [Accepted: 08/21/2024] [Indexed: 09/30/2024] Open
Abstract
DNA methylation, validated as a surrogate for biological age, is a potential tool for predicting future morbidity and mortality outcomes. This study aims to explore how lifestyle patterns are associated with epigenetic changes in British men. Five biological age clocks were utilised to investigate the relationship between these epigenetic markers and lifestyle-related factors in a prospective study involving 221 participants. Spearman's correlation test, Pearson's correlation test, and univariate linear regression were employed for analysis. The results indicate that higher consumption of saturated fat and total daily calories, and a higher body mass index (BMI) are associated with accelerated biological aging. Conversely, higher vitamin D intake and a higher healthy lifestyle index (HLI) are linked to decelerated biological aging. These findings highlight the potential impact of specific lifestyle-related factors on biological aging and can serve as a reference for applying healthy lifestyle improvements in future disease prevention studies.
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Affiliation(s)
- Te-Min Ke
- Division of Population Health, Health Services Research and Primary Care, School of Health Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester M13 9PT, UK
| | - Artitaya Lophatananon
- Division of Population Health, Health Services Research and Primary Care, School of Health Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester M13 9PT, UK
| | - Kenneth R Muir
- Division of Population Health, Health Services Research and Primary Care, School of Health Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester M13 9PT, UK
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Kriukov D, Kuzmina E, Efimov E, Dylov DV, Khrameeva EE. Epistemic uncertainty challenges aging clock reliability in predicting rejuvenation effects. Aging Cell 2024:e14283. [PMID: 39072888 DOI: 10.1111/acel.14283] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2024] [Revised: 06/28/2024] [Accepted: 07/03/2024] [Indexed: 07/30/2024] Open
Abstract
Epigenetic aging clocks have been widely used to validate rejuvenation effects during cellular reprogramming. However, these predictions are unverifiable because the true biological age of reprogrammed cells remains unknown. We present an analytical framework to consider rejuvenation predictions from the uncertainty perspective. Our analysis reveals that the DNA methylation profiles across reprogramming are poorly represented in the aging data used to train clock models, thus introducing high epistemic uncertainty in age estimations. Moreover, predictions of different published clocks are inconsistent, with some even suggesting zero or negative rejuvenation. While not questioning the possibility of age reversal, we show that the high clock uncertainty challenges the reliability of rejuvenation effects observed during in vitro reprogramming before pluripotency and throughout embryogenesis. Conversely, our method reveals a significant age increase after in vivo reprogramming. We recommend including uncertainty estimation in future aging clock models to avoid the risk of misinterpreting the results of biological age prediction.
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Affiliation(s)
- Dmitrii Kriukov
- Skolkovo Institute of Science and Technology, Moscow, Russia
- Artificial Intelligence Research Institute, Moscow, Russia
| | - Ekaterina Kuzmina
- Skolkovo Institute of Science and Technology, Moscow, Russia
- Artificial Intelligence Research Institute, Moscow, Russia
| | - Evgeniy Efimov
- Skolkovo Institute of Science and Technology, Moscow, Russia
| | - Dmitry V Dylov
- Skolkovo Institute of Science and Technology, Moscow, Russia
- Artificial Intelligence Research Institute, Moscow, Russia
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An evaluation of aging measures: from biomarkers to clocks. Biogerontology 2022; 24:303-328. [PMID: 36418661 DOI: 10.1007/s10522-022-09997-4] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2022] [Accepted: 10/21/2022] [Indexed: 11/25/2022]
Abstract
With the increasing number of aged population and growing burden of healthy aging demands, a rational standard for evaluation aging is in urgent need. The advancement of medical testing technology and the prospering of artificial intelligence make it possible to evaluate the biological status of aging from a more comprehensive view. In this review, we introduced common aging biomarkers and concluded several famous aging clocks. Aging biomarkers reflect changes in the organism at a molecular or cellular level over time while aging clocks tend to be more of a generalization of the overall state of the organism. We expect to construct a framework for aging evaluation measurement from both micro and macro perspectives. Especially, population-specific aging clocks and multi-omics aging clocks may better fit the demands to evaluate aging in a comprehensive and multidimensional manner and make a detailed classification to represent different aging rates at tissue/organ levels. This framework will promisingly provide a crucial basis for disease diagnosis and intervention assessment in geroscience.
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Wu L, Xie X, Liang T, Ma J, Yang L, Yang J, Li L, Xi Y, Li H, Zhang J, Chen X, Ding Y, Wu Q. Integrated Multi-Omics for Novel Aging Biomarkers and Antiaging Targets. Biomolecules 2021; 12:39. [PMID: 35053186 PMCID: PMC8773837 DOI: 10.3390/biom12010039] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2021] [Revised: 12/17/2021] [Accepted: 12/19/2021] [Indexed: 12/12/2022] Open
Abstract
Aging is closely related to the occurrence of human diseases; however, its exact biological mechanism is unclear. Advancements in high-throughput technology provide new opportunities for omics research to understand the pathological process of various complex human diseases. However, single-omics technologies only provide limited insights into the biological mechanisms of diseases. DNA, RNA, protein, metabolites, and microorganisms usually play complementary roles and perform certain biological functions together. In this review, we summarize multi-omics methods based on the most relevant biomarkers in single-omics to better understand molecular functions and disease causes. The integration of multi-omics technologies can systematically reveal the interactions among aging molecules from a multidimensional perspective. Our review provides new insights regarding the discovery of aging biomarkers, mechanism of aging, and identification of novel antiaging targets. Overall, data from genomics, transcriptomics, proteomics, metabolomics, integromics, microbiomics, and systems biology contribute to the identification of new candidate biomarkers for aging and novel targets for antiaging interventions.
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Affiliation(s)
- Lei Wu
- Guangdong Provincial Key Laboratory of Microbial Safety and Health, State Key Laboratory of Applied Microbiology Southern China, Institute of Microbiology, Guangdong Academy of Sciences, Guangzhou 510070, China; (L.W.); (X.X.); (T.L.); (L.Y.); (J.Y.); (L.L.); (Y.X.); (H.L.); (J.Z.)
- School of Food and Biological Engineering, Shaanxi University of Science and Technology, Xi’an 710021, China; (J.M.); (X.C.)
| | - Xinqiang Xie
- Guangdong Provincial Key Laboratory of Microbial Safety and Health, State Key Laboratory of Applied Microbiology Southern China, Institute of Microbiology, Guangdong Academy of Sciences, Guangzhou 510070, China; (L.W.); (X.X.); (T.L.); (L.Y.); (J.Y.); (L.L.); (Y.X.); (H.L.); (J.Z.)
| | - Tingting Liang
- Guangdong Provincial Key Laboratory of Microbial Safety and Health, State Key Laboratory of Applied Microbiology Southern China, Institute of Microbiology, Guangdong Academy of Sciences, Guangzhou 510070, China; (L.W.); (X.X.); (T.L.); (L.Y.); (J.Y.); (L.L.); (Y.X.); (H.L.); (J.Z.)
- School of Food and Biological Engineering, Shaanxi University of Science and Technology, Xi’an 710021, China; (J.M.); (X.C.)
| | - Jun Ma
- School of Food and Biological Engineering, Shaanxi University of Science and Technology, Xi’an 710021, China; (J.M.); (X.C.)
| | - Lingshuang Yang
- Guangdong Provincial Key Laboratory of Microbial Safety and Health, State Key Laboratory of Applied Microbiology Southern China, Institute of Microbiology, Guangdong Academy of Sciences, Guangzhou 510070, China; (L.W.); (X.X.); (T.L.); (L.Y.); (J.Y.); (L.L.); (Y.X.); (H.L.); (J.Z.)
| | - Juan Yang
- Guangdong Provincial Key Laboratory of Microbial Safety and Health, State Key Laboratory of Applied Microbiology Southern China, Institute of Microbiology, Guangdong Academy of Sciences, Guangzhou 510070, China; (L.W.); (X.X.); (T.L.); (L.Y.); (J.Y.); (L.L.); (Y.X.); (H.L.); (J.Z.)
- School of Food and Biological Engineering, Shaanxi University of Science and Technology, Xi’an 710021, China; (J.M.); (X.C.)
| | - Longyan Li
- Guangdong Provincial Key Laboratory of Microbial Safety and Health, State Key Laboratory of Applied Microbiology Southern China, Institute of Microbiology, Guangdong Academy of Sciences, Guangzhou 510070, China; (L.W.); (X.X.); (T.L.); (L.Y.); (J.Y.); (L.L.); (Y.X.); (H.L.); (J.Z.)
| | - Yu Xi
- Guangdong Provincial Key Laboratory of Microbial Safety and Health, State Key Laboratory of Applied Microbiology Southern China, Institute of Microbiology, Guangdong Academy of Sciences, Guangzhou 510070, China; (L.W.); (X.X.); (T.L.); (L.Y.); (J.Y.); (L.L.); (Y.X.); (H.L.); (J.Z.)
| | - Haixin Li
- Guangdong Provincial Key Laboratory of Microbial Safety and Health, State Key Laboratory of Applied Microbiology Southern China, Institute of Microbiology, Guangdong Academy of Sciences, Guangzhou 510070, China; (L.W.); (X.X.); (T.L.); (L.Y.); (J.Y.); (L.L.); (Y.X.); (H.L.); (J.Z.)
| | - Jumei Zhang
- Guangdong Provincial Key Laboratory of Microbial Safety and Health, State Key Laboratory of Applied Microbiology Southern China, Institute of Microbiology, Guangdong Academy of Sciences, Guangzhou 510070, China; (L.W.); (X.X.); (T.L.); (L.Y.); (J.Y.); (L.L.); (Y.X.); (H.L.); (J.Z.)
| | - Xuefeng Chen
- School of Food and Biological Engineering, Shaanxi University of Science and Technology, Xi’an 710021, China; (J.M.); (X.C.)
| | - Yu Ding
- Department of Food Science and Technology, Institute of Food Safety and Nutrition, Jinan University, Guangzhou 510632, China
| | - Qingping Wu
- Guangdong Provincial Key Laboratory of Microbial Safety and Health, State Key Laboratory of Applied Microbiology Southern China, Institute of Microbiology, Guangdong Academy of Sciences, Guangzhou 510070, China; (L.W.); (X.X.); (T.L.); (L.Y.); (J.Y.); (L.L.); (Y.X.); (H.L.); (J.Z.)
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Zealley B, de Grey ADNJ. Commentary on Some Recent Theses Relevant to Combating Aging: February 2020. Rejuvenation Res 2020; 23:73-79. [PMID: 31989865 DOI: 10.1089/rej.2020.2306] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Theses reviewed in this issue include "Automated Analysis of Quantitative Image Biomarkers from Low-Dose Chest CT Scans," "Design, Synthesis, and Delivery of a Self-Cleaving Replicon System Yielding Biologically Active MicroRNAs In Vivo," "Mechanisms of Physiological Amyloidogenesis," "Programming and Reprogramming Neural Cell Types Using Synthetic Transcription Factors," "Targeted Drug Delivery via Exploitation of the Tumor Microenvironment," and "Towards Clinically-Relevant Cell-Transplant-Based Therapies for the Treatment of Liver Diseases."
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Johnson AA, Stolzing A. The role of lipid metabolism in aging, lifespan regulation, and age-related disease. Aging Cell 2019; 18:e13048. [PMID: 31560163 PMCID: PMC6826135 DOI: 10.1111/acel.13048] [Citation(s) in RCA: 237] [Impact Index Per Article: 47.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2019] [Revised: 08/11/2019] [Accepted: 09/04/2019] [Indexed: 12/18/2022] Open
Abstract
An emerging body of data suggests that lipid metabolism has an important role to play in the aging process. Indeed, a plethora of dietary, pharmacological, genetic, and surgical lipid‐related interventions extend lifespan in nematodes, fruit flies, mice, and rats. For example, the impairment of genes involved in ceramide and sphingolipid synthesis extends lifespan in both worms and flies. The overexpression of fatty acid amide hydrolase or lysosomal lipase prolongs life in Caenorhabditis elegans, while the overexpression of diacylglycerol lipase enhances longevity in both C. elegans and Drosophila melanogaster. The surgical removal of adipose tissue extends lifespan in rats, and increased expression of apolipoprotein D enhances survival in both flies and mice. Mouse lifespan can be additionally extended by the genetic deletion of diacylglycerol acyltransferase 1, treatment with the steroid 17‐α‐estradiol, or a ketogenic diet. Moreover, deletion of the phospholipase A2 receptor improves various healthspan parameters in a progeria mouse model. Genome‐wide association studies have found several lipid‐related variants to be associated with human aging. For example, the epsilon 2 and epsilon 4 alleles of apolipoprotein E are associated with extreme longevity and late‐onset neurodegenerative disease, respectively. In humans, blood triglyceride levels tend to increase, while blood lysophosphatidylcholine levels tend to decrease with age. Specific sphingolipid and phospholipid blood profiles have also been shown to change with age and are associated with exceptional human longevity. These data suggest that lipid‐related interventions may improve human healthspan and that blood lipids likely represent a rich source of human aging biomarkers.
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