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Cheng M, Conley D, Kuipers T, Li C, Ryan CP, Taeubert MJ, Wang S, Wang T, Zhou J, Schmitz LL, Tobi EW, Heijmans B, Lumey LH, Belsky DW. Accelerated biological aging six decades after prenatal famine exposure. Proc Natl Acad Sci U S A 2024; 121:e2319179121. [PMID: 38833467 DOI: 10.1073/pnas.2319179121] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2023] [Accepted: 04/06/2024] [Indexed: 06/06/2024] Open
Abstract
To test the hypothesis that early-life adversity accelerates the pace of biological aging, we analyzed data from the Dutch Hunger Winter Families Study (DHWFS, N = 951). DHWFS is a natural-experiment birth-cohort study of survivors of in-utero exposure to famine conditions caused by the German occupation of the Western Netherlands in Winter 1944 to 1945, matched controls, and their siblings. We conducted DNA methylation analysis of blood samples collected when the survivors were aged 58 to quantify biological aging using the DunedinPACE, GrimAge, and PhenoAge epigenetic clocks. Famine survivors had faster DunedinPACE, as compared with controls. This effect was strongest among women. Results were similar for GrimAge, although effect-sizes were smaller. We observed no differences in PhenoAge between survivors and controls. Famine effects were not accounted for by blood-cell composition and were similar for individuals exposed early and later in gestation. Findings suggest in-utero undernutrition may accelerate biological aging in later life.
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Affiliation(s)
- Mengling Cheng
- Swiss Centre of Expertise in Life Course Research, Faculty of Social and Political Sciences, University of Lausanne, Lausanne CH 1015, Switzerland
- Robert N. Butler Columbia Aging Center, Mailman School of Public Health, Columbia University, New York, NY 10032
| | - Dalton Conley
- Department of Sociology, Princeton University, Mercer, NJ 08544
| | - Tom Kuipers
- Department of Biomedical Data Sciences, Leiden University Medical Center, Leiden ZC 2333, Netherlands
| | - Chihua Li
- Institute for Social Research, University of Michigan at Ann Arbor, Ann Arbor, MI 48106
- Department of Epidemiology, Columbia University Mailman School of Public Health, New York, NY 10032
| | - Calen P Ryan
- Robert N. Butler Columbia Aging Center, Mailman School of Public Health, Columbia University, New York, NY 10032
| | - M Jazmin Taeubert
- Department of Biomedical Data Sciences, Leiden University Medical Center, Leiden ZC 2333, Netherlands
| | - Shuang Wang
- Department of Biostatistics, Columbia University Mailman School of Public Health, New York, NY 10032
| | - Tian Wang
- Department of Biostatistics, Columbia University Mailman School of Public Health, New York, NY 10032
| | - Jiayi Zhou
- Robert N. Butler Columbia Aging Center, Mailman School of Public Health, Columbia University, New York, NY 10032
| | - Lauren L Schmitz
- Center for Demography and Ecology, Robert M. La Follette School of Public Affairs, University of Wisconsin-Madison, Madison, WI 53706
| | - Elmar W Tobi
- Department of Biomedical Data Sciences, Leiden University Medical Center, Leiden ZC 2333, Netherlands
| | - Bas Heijmans
- Department of Biomedical Data Sciences, Leiden University Medical Center, Leiden ZC 2333, Netherlands
| | - L H Lumey
- Department of Biomedical Data Sciences, Leiden University Medical Center, Leiden ZC 2333, Netherlands
- Department of Epidemiology, Columbia University Mailman School of Public Health, New York, NY 10032
| | - Daniel W Belsky
- Robert N. Butler Columbia Aging Center, Mailman School of Public Health, Columbia University, New York, NY 10032
- Department of Epidemiology, Columbia University Mailman School of Public Health, New York, NY 10032
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Thomas A, Ryan CP, Caspi A, Liu Z, Moffitt TE, Sugden K, Zhou J, Belsky DW, Gu Y. Diet, Pace of Biological Aging, and Risk of Dementia in the Framingham Heart Study. Ann Neurol 2024; 95:1069-1079. [PMID: 38407506 PMCID: PMC11102315 DOI: 10.1002/ana.26900] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2023] [Revised: 01/16/2024] [Accepted: 02/05/2024] [Indexed: 02/27/2024]
Abstract
OBJECTIVE People who eat healthier diets are less likely to develop dementia, but the biological mechanism of this protection is not well understood. We tested the hypothesis that healthy diet protects against dementia because it slows the pace of biological aging. METHODS We analyzed Framingham Offspring Cohort data. We included participants ≥60 years-old, free of dementia and having dietary, epigenetic, and follow-up data. We assessed healthy diet as long-term adherence to the Mediterranean-Dash Intervention for Neurodegenerative Delay diet (MIND, over 4 visits spanning 1991-2008). We measured the pace of aging from blood DNA methylation data collected in 2005-2008 using the DunedinPACE epigenetic clock. Incident dementia and mortality were defined using study records compiled from 2005 to 2008 visit through 2018. RESULTS Of n = 1,644 included participants (mean age 69.6, 54% female), n = 140 developed dementia and n = 471 died over 14 years of follow-up. Greater MIND score was associated with slower DunedinPACE and reduced risks for dementia and mortality. Slower DunedinPACE was associated with reduced risks for dementia and mortality. In mediation analysis, slower DunedinPACE accounted for 27% of the diet-dementia association and 57% of the diet-mortality association. INTERPRETATION Findings suggest that slower pace of aging mediates part of the relationship of healthy diet with reduced dementia risk. Monitoring pace of aging may inform dementia prevention. However, a large fraction of the diet-dementia association remains unexplained and may reflect direct connections between diet and brain aging that do not overlap other organ systems. Investigation of brain-specific mechanisms in well-designed mediation studies is warranted. ANN NEUROL 2024;95:1069-1079.
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Affiliation(s)
- Aline Thomas
- Taub Institute for Research on Alzheimer’s Disease and the Aging Brain, Columbia University, New York, NY 10032, USA
- Department of Neurology, Columbia University, New York, NY 10032, USA
| | - Calen P. Ryan
- Butler Columbia Aging Center, Columbia University Mailman School of Public Health, New York, NY 10032, USA
| | - Avshalom Caspi
- Department of Psychology and Neuroscience, Duke University, Durham, NC 27708, USA
| | - Zhonghua Liu
- Department of Biostatistics, Columbia University, New York, NY 10032, USA
| | - Terrie E. Moffitt
- Department of Psychology and Neuroscience, Duke University, Durham, NC 27708, USA
| | - Karen Sugden
- Department of Psychology and Neuroscience, Duke University, Durham, NC 27708, USA
| | - Jiayi Zhou
- Butler Columbia Aging Center, Columbia University Mailman School of Public Health, New York, NY 10032, USA
| | - Daniel W. Belsky
- Butler Columbia Aging Center, Columbia University Mailman School of Public Health, New York, NY 10032, USA
- Department of Epidemiology, Joseph P. Mailman School of Public Health, Columbia University, New York, NY 10032, USA
| | - Yian Gu
- Taub Institute for Research on Alzheimer’s Disease and the Aging Brain, Columbia University, New York, NY 10032, USA
- Department of Neurology, Columbia University, New York, NY 10032, USA
- Department of Biostatistics, Columbia University, New York, NY 10032, USA
- Gertrude H. Sergievsky Center, Columbia University, New York, NY 10032, USA
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Lindsay EK, Marsland AL, Cole SW, Dutcher JM, Greco CM, Wright AG, Brown KW, Creswell JD. Mindfulness-Based Stress Reduction Reduces Proinflammatory Gene Regulation But Not Systemic Inflammation Among Older Adults: A Randomized Controlled Trial. Psychosom Med 2024; 86:463-472. [PMID: 37982547 PMCID: PMC11098967 DOI: 10.1097/psy.0000000000001264] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/21/2023]
Abstract
OBJECTIVE Aging is associated with increased proinflammatory gene expression and systemic inflammation, and psychosocial stress may accelerate these changes. Mindfulness interventions show promise for reducing psychosocial stress and extending healthspan. Inflammatory pathways may play a role. In a sample of lonely older adults, we tested whether mindfulness training reduces proinflammatory gene expression and protein markers of systemic inflammation. METHODS Lonely older adults (65-85 years; N = 190) were randomly assigned to an 8-week Mindfulness-Based Stress Reduction (MBSR) or matched Health Enhancement Program (HEP). Blood was drawn before and after the intervention and at 3-month follow-up. In peripheral blood mononuclear cells, RNA profiling was used to assess transcriptional regulation by proinflammatory nuclear factor κB (NF-κB) as well as β-adrenergic cAMP response element-binding protein (CREB), antiviral interferon regulatory factor (IRF), and glucocorticoid receptor (GR) transcription factors. Plasma was assayed for proinflammatory markers interleukin 6 (IL-6) and C-reactive protein (CRP). Analyses tested time (pre, post, follow-up) by condition (MBSR versus HEP) effects. RESULTS MBSR reduced NF-κB ( d = 0.17, p = .028) but did not alter CREB ( d = 0.10, p = .20), IRF ( d = 0.13, p = .086), or GR activity ( d = 0.14, p = .063) relative to HEP over time. Contrary to predictions, there were no time by condition effects of MBSR compared with HEP on reducing circulating IL-6 or CRP. CONCLUSIONS In lonely older adults, MBSR reduced cellular proinflammatory gene regulation in ways that would predict reduced disease risk. However, no similar effect was observed for circulating protein markers of inflammation. These results provide specificity about how mindfulness interventions may impact distinct inflammatory markers among aging adults in ways that may have important implications for healthspan. TRIAL REGISTRATION Clinical Trials identifier NCT02888600.
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Affiliation(s)
| | | | - Steven W. Cole
- UCLA School of Medicine, Departments of Medicine and Psychiatry & Biobehavioral Sciences
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Tang F, Yang S, Qiu H, Liu Y, Fang S, Zhang Y, Wang S. Joint association of diabetes mellitus and inflammation status with biological ageing acceleration and premature mortality. Diabetes Metab Syndr 2024; 18:103050. [PMID: 38833822 DOI: 10.1016/j.dsx.2024.103050] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/30/2023] [Revised: 05/27/2024] [Accepted: 05/30/2024] [Indexed: 06/06/2024]
Abstract
BACKGROUND We aimed to investigate the associations of diabetes mellitus (DM) and C-reactive protein (CRP) with biological ageing acceleration and mortality risk. METHODS We analyzed data from 41,634 adults with CRP and DM at baseline. Subjects were categorized into high CRP (>3 mg/L) and low CRP (≤3 mg/L) groups. The cross-sectional endpoints of the study were biological ageing indicators Klemera-Doubal method BioAge acceleration (KDMAccel) and Phenotypic age acceleration (PhenoAgeAccel), and the follow-up endpoints were all-cause mortality and cardiovascular mortality. RESULTS In adults with high CRP, compared with those without DM, PhenoAgeAccel increased by 1.66 years (95 % CI: 1.38-1.93), and 8.74 years (95 % CI: 8.25-9.22) in adults with prediabetes and DM, respectively (p for interaction <0.001). Using the CRPlow/non-DM group as a reference, adults in the CRPhigh/non-DM, CRPlow/DM, and CRPhigh/DM groups had significantly advanced biological ageing. Compared to adults without DM, low CRP, and no ageing acceleration, the multivariable-adjusted HRs (95%CIs) of all-cause and cardiovascular mortality in those with DM, CRP, and ageing acceleration were 3.22 (2.79-3.72), and 3.57 (2.81-4.54), respectively. CONCLUSIONS These findings suggest that the joint presence of low-grade inflammation and DM might be associated with higher odds of biological ageing acceleration and premature mortality.
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Affiliation(s)
- Fan Tang
- Department of Cardiology, Second Affiliated Hospital of Harbin Medical University, Harbin, China; The Key Laboratory of Myocardial Ischemia, Chinese Ministry of Education, China; State Key Laboratory of Frigid Zone Cardiovascular Diseases (SKLFZCD), Harbin, China; Department of Epidemiology and Biostatistics, School of Public Health, Jiamusi University, Jiamusi, China
| | - Shuang Yang
- Department of Cardiology, Second Affiliated Hospital of Harbin Medical University, Harbin, China; The Key Laboratory of Myocardial Ischemia, Chinese Ministry of Education, China; State Key Laboratory of Frigid Zone Cardiovascular Diseases (SKLFZCD), Harbin, China
| | - Hongbin Qiu
- Department of Epidemiology and Biostatistics, School of Public Health, Jiamusi University, Jiamusi, China
| | - Yan Liu
- Department of Epidemiology and Biostatistics, School of Public Health, Jiamusi University, Jiamusi, China
| | - Shaohong Fang
- Department of Cardiology, Second Affiliated Hospital of Harbin Medical University, Harbin, China; The Key Laboratory of Myocardial Ischemia, Chinese Ministry of Education, China; State Key Laboratory of Frigid Zone Cardiovascular Diseases (SKLFZCD), Harbin, China
| | - Yiying Zhang
- Department of Epidemiology and Biostatistics, School of Public Health, Jiamusi University, Jiamusi, China.
| | - Shanjie Wang
- Department of Cardiology, Second Affiliated Hospital of Harbin Medical University, Harbin, China; The Key Laboratory of Myocardial Ischemia, Chinese Ministry of Education, China; State Key Laboratory of Frigid Zone Cardiovascular Diseases (SKLFZCD), Harbin, China.
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Liu Y, Kang M, Wei W, Hui J, Gou Y, Liu C, Zhou R, Wang B, Shi P, Liu H, Cheng B, Jia Y, Wen Y, Zhang F. Dietary diversity score and the acceleration of biological aging: a population-based study of 88,039 participants. J Nutr Health Aging 2024; 28:100271. [PMID: 38810510 DOI: 10.1016/j.jnha.2024.100271] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2023] [Revised: 05/05/2024] [Accepted: 05/14/2024] [Indexed: 05/31/2024]
Abstract
OBJECTIVES Our study aimed to investigate the association of dietary diversity score (DDS), as reflected by five dietary categories, with biological age acceleration. DESIGN A cross-sectional study. SETTING AND PARTICIPANTS This study included 88,039 individuals from the UK Biobank. METHODS Biological age (BA) was assessed using Klemerae-Doubal (KDM) and PhenoAge methods. The difference between BA and chronological age represents the age acceleration (AgeAccel), termed as "KDMAccel" and "PhenoAgeAccel". AgeAccel > 0 indicates faster aging. Generalized linear regression models were performed to assess the associations of DDS with AgeAccel. Similar analyses were performed for the five dietary categories. RESULTS After adjusting for multiple variables, DDS was inversely associated with KDMAccel (βHigh vs Low= -0.403, 95%CI: -0.492 to -0.314, P < 0.001) and PhenoAgeAccel (βHigh vs Low= -0.545, 95%CI: -0.641 to -0.450, P < 0.001). Each 1-point increment in the DDS was associated with a 4.4% lower risk of KDMAccel and a 5.6% lower risk of PhenoAgeAccel. The restricted cubic spline plots demonstrated a non-linear dose-response association between DDS and the risk of AgeAccel. The consumption of grains (βKDMAccel = -0.252, βPhenoAgeAccel = -0.197), vegetables (βKDMAccel = -0.044, βPhenoAgeAccel = -0.077) and fruits (βKDMAccel = -0.179, βPhenoAgeAccel = -0.219) was inversely associated with the two AgeAccel, while meat and protein alternatives (βKDMAccel = 0.091, βPhenoAgeAccel = 0.054) had a positive association (All P < 0.001). Stratified analysis revealed stronger accelerated aging effects in males, smokers, and drinkers. A strengthening trend in the association between DDS and AgeAccel as TDI quartiles increased was noted. CONCLUSIONS This study suggested that food consumption plays a role in aging process, and adherence to a higher diversity dietary is associated with the slowing down of the aging process.
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Affiliation(s)
- Ye Liu
- Key Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, China
| | - Meijuan Kang
- Key Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, China
| | - Wenming Wei
- Key Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, China
| | - Jingni Hui
- Key Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, China
| | - Yifan Gou
- Key Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, China
| | - Chen Liu
- Key Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, China
| | - Ruixue Zhou
- Key Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, China
| | - Bingyi Wang
- Key Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, China
| | - Panxing Shi
- Key Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, China
| | - Huan Liu
- Key Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, China
| | - Bolun Cheng
- Key Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, China
| | - Yumeng Jia
- Key Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, China
| | - Yan Wen
- Key Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, China
| | - Feng Zhang
- Key Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, China.
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Chen X, Yin X, Gao Y, Chen X, Ye N, He X. From cup to clock: exploring coffee's role in slowing down biological aging. Food Funct 2024; 15:5655-5663. [PMID: 38726849 DOI: 10.1039/d3fo04177h] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/21/2024]
Abstract
Background: Previous research has proposed that coffee consumption may have potential health benefits, yet the effect of coffee on one's biological age has not been determined to date. The purpose of this study is to investigate the influence of coffee drinking on biological aging. Methods: Participants were chosen from the National Health and Nutrition Examination Survey (NHANES) and had to meet the selection criteria. Coffee consumption was evaluated through two 24-hour dietary questionnaires. Biological age was measured using both the PhenoAge and KDM-BA algorithms. Multiple linear and logistic regression models were adopted to analyze the association of coffee consumption with biological aging. Results: A total of 13 384 participants with an average daily coffee consumption of 1.73 cups were included. Participants with higher coffee consumption tended to be older, male, non-Hispanic white; had a higher educational level beyond high school; were more likely to be married; had better financial status; and were less likely to smoke or engage in excessive drinking. These individuals with higher coffee consumption exhibited a younger biological age in relation to their chronological age, as indicated by lower mean advancements in PhenoAge and KDM-BA scores. Furthermore, coffee intake was found to be inversely related to PhenoAge and KDM-BA progressions, as well as to the chances of accelerated biological aging, both in unadjusted and adjusted models. These associations remained consistent across all age and gender groups. Additionally, some heterogeneity was also observed among body mass index and physical activity categories. Conclusions: Coffee drinking was inversely related to biological age advancements and the likelihood of accelerated biological aging. Moderate coffee consumption may offer substantial benefits in reducing biological aging.
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Affiliation(s)
- Xiaoli Chen
- Department of Gastroenterology, Sir Run Run Shaw Hospital, Zhejiang University Medical School, Hangzhou 310016, China.
| | - Xin Yin
- Department of Radiation Oncology, The First Affiliated Hospital, School of Medicine, Zhejiang University, 79 Qingchun Road, Hangzhou, Zhejiang 310003, PR China
| | - Yajie Gao
- Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Xin Chen
- Department of Gastroenterology, Sir Run Run Shaw Hospital, Zhejiang University Medical School, Hangzhou 310016, China.
| | - Nan Ye
- Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Xingkang He
- Department of Gastroenterology, Sir Run Run Shaw Hospital, Zhejiang University Medical School, Hangzhou 310016, China.
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Salinas E, Stanford TR. Conditional independence as a statistical assessment of evidence integration processes. PLoS One 2024; 19:e0297792. [PMID: 38722936 PMCID: PMC11081312 DOI: 10.1371/journal.pone.0297792] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2023] [Accepted: 01/12/2024] [Indexed: 05/13/2024] Open
Abstract
Intuitively, combining multiple sources of evidence should lead to more accurate decisions than considering single sources of evidence individually. In practice, however, the proper computation may be difficult, or may require additional data that are inaccessible. Here, based on the concept of conditional independence, we consider expressions that can serve either as recipes for integrating evidence based on limited data, or as statistical benchmarks for characterizing evidence integration processes. Consider three events, A, B, and C. We find that, if A and B are conditionally independent with respect to C, then the probability that C occurs given that both A and B are known, P(C|A, B), can be easily calculated without the need to measure the full three-way dependency between A, B, and C. This simplified approach can be used in two general ways: to generate predictions by combining multiple (conditionally independent) sources of evidence, or to test whether separate sources of evidence are functionally independent of each other. These applications are demonstrated with four computer-simulated examples, which include detecting a disease based on repeated diagnostic testing, inferring biological age based on multiple biomarkers of aging, discriminating two spatial locations based on multiple cue stimuli (multisensory integration), and examining how behavioral performance in a visual search task depends on selection histories. Besides providing a sound prescription for predicting outcomes, this methodology may be useful for analyzing experimental data of many types.
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Affiliation(s)
- Emilio Salinas
- Department of Neurobiology & Anatomy, Wake Forest University School of Medicine, Winston-Salem, North Carolina, United States of America
| | - Terrence R. Stanford
- Department of Neurobiology & Anatomy, Wake Forest University School of Medicine, Winston-Salem, North Carolina, United States of America
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Loseva PA, Gladyshev VN. The beginning of becoming a human. Aging (Albany NY) 2024; 16:8378-8395. [PMID: 38713165 PMCID: PMC11131989 DOI: 10.18632/aging.205824] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2023] [Accepted: 02/27/2024] [Indexed: 05/08/2024]
Abstract
According to birth certificates, the life of a child begins once their body comes out of the mother's womb. But when does their organismal life begin? Science holds a palette of answers-depending on how one defines a human life. In 1984, a commission on the regulatory framework for human embryo experimentation opted not to answer this question, instead setting a boundary, 14 days post-fertilization, beyond which any experiments were forbidden. Recently, as the reproductive technologies developed and the demand for experimentation grew stronger, this boundary may be set aside leaving the ultimate decision to local oversight committees. While science has not come closer to setting a zero point for human life, there has been significant progress in our understanding of early mammalian embryogenesis. It has become clear that the 14-day stage does in fact possess features, which make it a foundational time point for a developing human. Importantly, this stage defines the separation of soma from the germline and marks the boundary between rejuvenation and aging. We explore how different levels of life organization emerge during human development and suggest a new meaning for the 14-day stage in organismal life that is grounded in recent mechanistic advances and insights from aging studies.
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Affiliation(s)
- Polina A. Loseva
- Division of Genetics, Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Vadim N. Gladyshev
- Division of Genetics, Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA 02115, USA
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Li S, Wen C, Bai X, Yang D. Association between biological aging and periodontitis using NHANES 2009-2014 and mendelian randomization. Sci Rep 2024; 14:10089. [PMID: 38698209 PMCID: PMC11065868 DOI: 10.1038/s41598-024-61002-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2023] [Accepted: 04/30/2024] [Indexed: 05/05/2024] Open
Abstract
Aging is a recognized risk factor for periodontitis, while biological aging could provide more accurate insights into an individual's functional status. This study aimed to investigate the potential association between biological aging and periodontitis. Epidemiological data from 9803 participants in the 2009-2014 National Health and Nutrition Examination Survey were analyzed at a cross-sectional level to assess this link. Three biological ages [Klemera-Doubal method (KDM), PhenoAge, and homeostatic dysregulation (HD)] and two measures of accelerated biological aging (BioAgeAccel and PhenoAgeAccel) were set as primary exposure and were calculated. Logistic regression and restricted cubic spline regression were employed to examine the relationship between biological aging and periodontitis. Additionally, Mendelian randomization analysis was conducted to explore the causal connection between accelerated biological aging and periodontitis. After adjusting for age, gender, race, educational level, marital status, ratio of family income, and disease conditions, this study, found a significant association between subjects with older higher biological ages, accelerated biological aging, and periodontitis. Specifically, for a per year increase in the three biological ages (HD, KDM, and PhenoAge), the risk of periodontitis increases by 15%, 3%, and 4% respectively. Individuals who had positive BioAgeAccel or PhenoAgeAccel were 20% or 37% more likely to develop periodontitis compared with those who had negative BioAgeAccel or PhenoAgeAccel. Furthermore, a significant non-linear positive relationship was observed between the three biological ages, accelerated biological aging, and periodontitis. However, the Mendelian randomization analysis indicated no causal effect of accelerated biological aging on periodontitis. Our findings suggest that biological aging may contribute to the risk of periodontitis, highlighting the potential utility of preventive strategies targeting aging-related pathways in reducing periodontitis risk among older adults.
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Affiliation(s)
- Sihong Li
- State Key Laboratory of Oral and Maxillofacial Reconstruction and Regeneration, Key Laboratory of Oral Biomedicine Ministry of Education, Hubei Key Laboratory of Stomatology, School and Hospital of Stomatology, Wuhan University, Wuhan, China
| | - Chang Wen
- State Key Laboratory of Oral and Maxillofacial Reconstruction and Regeneration, Key Laboratory of Oral Biomedicine Ministry of Education, Hubei Key Laboratory of Stomatology, School and Hospital of Stomatology, Wuhan University, Wuhan, China
| | - Xueying Bai
- State Key Laboratory of Oral and Maxillofacial Reconstruction and Regeneration, Key Laboratory of Oral Biomedicine Ministry of Education, Hubei Key Laboratory of Stomatology, School and Hospital of Stomatology, Wuhan University, Wuhan, China
| | - Dong Yang
- State Key Laboratory of Oral and Maxillofacial Reconstruction and Regeneration, Key Laboratory of Oral Biomedicine Ministry of Education, Hubei Key Laboratory of Stomatology, School and Hospital of Stomatology, Wuhan University, Wuhan, China.
- Department of Periodontology, School and Hospital of Stomatology, Wuhan University, 237 Luoyu Road, Hongshan District, Wuhan, 430079, China.
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Zoller J, Horvath S. MammalMethylClock R package: software for DNA methylation-based epigenetic clocks in mammals. BIOINFORMATICS (OXFORD, ENGLAND) 2024; 40:btae280. [PMID: 38656974 DOI: 10.1093/bioinformatics/btae280] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/25/2023] [Revised: 01/16/2024] [Accepted: 04/23/2024] [Indexed: 04/26/2024]
Abstract
MOTIVATION Epigenetic clocks are prediction methods based on DNA methylation levels in a given species or set of species. Defined as multivariate regression models, these DNA methylation-based biomarkers of age or mortality risk are useful in species conservation efforts and in preclinical studies. RESULTS We present an R package called MammalMethylClock for the construction, assessment, and application of epigenetic clocks in different mammalian species. The R package includes the utility for implementing pre-existing mammalian clocks from the Mammalian Methylation Consortium. AVAILABILITY AND IMPLEMENTATION The source code and documentation manual for MammalMethylClock, and clock coefficient .csv files that are included within this software package, can be found on Zenodo at https://doi.org/10.5281/zenodo.10971037.
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Affiliation(s)
- Joseph Zoller
- Department of Biostatistics, Fielding School of Public Health, University of California, Los Angeles, CA, 90095, United States
| | - Steve Horvath
- Department of Biostatistics, Fielding School of Public Health, University of California, Los Angeles, CA, 90095, United States
- Department of Human Genetics, David Geffen School of Medicine, University of California, Los Angeles, CA, 90095, United States
- Altos Labs, San Diego, CA, 92121, United States
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11
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Boccardi V, Orr ME, Polidori MC, Ruggiero C, Mecocci P. Focus on senescence: Clinical significance and practical applications. J Intern Med 2024; 295:599-619. [PMID: 38446642 DOI: 10.1111/joim.13775] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/08/2024]
Abstract
The older population is increasing worldwide, and life expectancy is continuously rising, predominantly thanks to medical and technological progress. Healthspan refers to the number of years an individual can live in good health. From a gerontological viewpoint, the mission is to extend the life spent in good health, promoting well-being and minimizing the impact of aging-related diseases to slow the aging process. Biologically, aging is a malleable process characterized by an intra- and inter-individual heterogeneous and dynamic balance between accumulating damage and repair mechanisms. Cellular senescence is a key component of this process, with senescent cells accumulating in different tissues and organs, leading to aging and age-related disease susceptibility over time. Removing senescent cells from the body or slowing down the burden rate has been proposed as an efficient way to reduce age-dependent deterioration. In animal models, senotherapeutic molecules can extend life expectancy and lifespan by either senolytic or senomorphic activity. Much research shows that dietary and physical activity-driven lifestyle interventions protect against senescence. This narrative review aims to summarize the current knowledge on targeting senescent cells to reduce the risk of age-related disease in animal models and their translational potential for humans. We focused on studies that have examined the potential role of senotherapeutics in slowing the aging process and modifying age-related disease burdens. The review concludes with a general discussion of the mechanisms underlying this unique trajectory and its implications for future research.
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Affiliation(s)
- Virginia Boccardi
- Division of Gerontology and Geriatrics, Department of Medicine and Surgery, University of Perugia, Perugia, Italy
| | - Miranda Ethel Orr
- Department of Internal Medicine, Section on Gerontology and Geriatric Medicine, Wake Forest University School of Medicine, Winston-Salem, North Carolina, USA
- Salisbury VA Medical Center, Salisbury, North Carolina, USA
| | - M Cristina Polidori
- Ageing Clinical Research, Department II of Internal Medicine and Center for Molecular Medicine Cologne, Cologne, Germany
- Cologne Excellence Cluster on Cellular Stress-Responses in Aging-Associated Diseases (CECAD), Faculty of Medicine, University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Carmelinda Ruggiero
- Division of Gerontology and Geriatrics, Department of Medicine and Surgery, University of Perugia, Perugia, Italy
| | - Patrizia Mecocci
- Division of Gerontology and Geriatrics, Department of Medicine and Surgery, University of Perugia, Perugia, Italy
- Division of Clinical Geriatrics, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden
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12
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Militello R, Luti S, Gamberi T, Pellegrino A, Modesti A, Modesti PA. Physical Activity and Oxidative Stress in Aging. Antioxidants (Basel) 2024; 13:557. [PMID: 38790662 PMCID: PMC11117672 DOI: 10.3390/antiox13050557] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2024] [Revised: 04/22/2024] [Accepted: 04/27/2024] [Indexed: 05/26/2024] Open
Abstract
Biological aging, characterized by changes in metabolism and physicochemical properties of cells, has an impact on public health. Environment and lifestyle, including factors like diet and physical activity, seem to play a key role in healthy aging. Several studies have shown that regular physical activity can enhance antioxidant defense mechanisms, including the activity of enzymes such as superoxide dismutase (SOD), catalase, and glutathione peroxidase. However, intense or prolonged exercise can also lead to an increase in reactive oxygen species (ROS) production temporarily, resulting in oxidative stress. This phenomenon is referred to as "exercise-induced oxidative stress". The relationship between physical activity and oxidative stress in aging is complex and depends on various factors such as the type, intensity, duration, and frequency of exercise, as well as individual differences in antioxidant capacity and adaptation to exercise. In this review, we analyzed what is reported by several authors regarding the role of physical activity on oxidative stress in the aging process as well as the role of hormesis and physical exercise as tools for the prevention and treatment of sarcopenia, an aging-related disease. Finally, we reported what has recently been studied in relation to the effect of physical activity and sport on aging in women.
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Affiliation(s)
- Rosamaria Militello
- Department of Experimental and Clinical Biomedical Sciences, University of Florence, 50134 Florence, Italy; (R.M.); (S.L.); (T.G.)
| | - Simone Luti
- Department of Experimental and Clinical Biomedical Sciences, University of Florence, 50134 Florence, Italy; (R.M.); (S.L.); (T.G.)
| | - Tania Gamberi
- Department of Experimental and Clinical Biomedical Sciences, University of Florence, 50134 Florence, Italy; (R.M.); (S.L.); (T.G.)
| | - Alessio Pellegrino
- Department of Experimental and Clinical Medicine, University of Florence, 50134 Florence, Italy; (A.P.); (P.A.M.)
| | - Alessandra Modesti
- Department of Experimental and Clinical Biomedical Sciences, University of Florence, 50134 Florence, Italy; (R.M.); (S.L.); (T.G.)
| | - Pietro Amedeo Modesti
- Department of Experimental and Clinical Medicine, University of Florence, 50134 Florence, Italy; (A.P.); (P.A.M.)
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13
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Graves AJ, Danoff JS, Kim M, Brindley SR, Skyberg AM, Giamberardino SN, Lynch ME, Straka BC, Lillard TS, Gregory SG, Connelly JJ, Morris JP. Accelerated epigenetic age is associated with whole-brain functional connectivity and impaired cognitive performance in older adults. Sci Rep 2024; 14:9646. [PMID: 38671048 PMCID: PMC11053089 DOI: 10.1038/s41598-024-60311-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2024] [Accepted: 04/21/2024] [Indexed: 04/28/2024] Open
Abstract
While chronological age is a strong predictor for health-related risk factors, it is an incomplete metric that fails to fully characterize the unique aging process of individuals with different genetic makeup, neurodevelopment, and environmental experiences. Recent advances in epigenomic array technologies have made it possible to generate DNA methylation-based biomarkers of biological aging, which may be useful in predicting a myriad of cognitive abilities and functional brain network organization across older individuals. It is currently unclear which cognitive domains are negatively correlated with epigenetic age above and beyond chronological age, and it is unknown if functional brain organization is an important mechanism for explaining these associations. In this study, individuals with accelerated epigenetic age (i.e. AgeAccelGrim) performed worse on tasks that spanned a wide variety of cognitive faculties including both fluid and crystallized intelligence (N = 103, average age = 68.98 years, 73 females, 30 males). Additionally, fMRI connectome-based predictive models suggested a mediating mechanism of functional connectivity on epigenetic age acceleration-cognition associations primarily in medial temporal lobe and limbic structures. This research highlights the important role of epigenetic aging processes on the development and maintenance of healthy cognitive capacities and function of the aging brain.
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Affiliation(s)
| | | | - Minah Kim
- University of Virginia, Charlottesville, USA
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14
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Ogaz-González R, Corpeleijn E, García-Chanes RE, Gutierréz-Robledo LM, Escamilla-Santiago RA, López-Cervantes M. Assessing the relationship between multimorbidity, NCD configurations, frailty phenotypes, and mortality risk in older adults. BMC Geriatr 2024; 24:355. [PMID: 38649809 PMCID: PMC11034053 DOI: 10.1186/s12877-024-04948-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2023] [Accepted: 04/04/2024] [Indexed: 04/25/2024] Open
Abstract
BACKGROUND Older adults are increasingly susceptible to prolonged illness, multiple chronic diseases, and disabilities, which can lead to the coexistence of multimorbidity and frailty. Multimorbidity may result in various noncommunicable disease (NCD) patterns or configurations that could be associated with frailty and death. Mortality risk may vary depending on the presence of specific chronic diseases configurations or frailty. METHODS The aim was to examine the impact of NCD configurations on mortality risk among older adults with distinct frailty phenotypes. The population was analyzed from the Costa Rican Longevity and Healthy Aging Study Cohort (CRELES). A total of 2,662 adults aged 60 or older were included and followed for 5 years. Exploratory factor analysis and various clustering techniques were utilized to identify NCD configurations. The frequency of NCD accumulation was also assessed for a multimorbidity definition. Frailty phenotypes were set according to Fried et al. criteria. Kaplan‒Meier survival analyses, mortality rates, and Cox proportional hazards models were estimated. RESULTS Four different types of patterns were identified: 'Neuro-psychiatric', 'Metabolic', 'Cardiovascular', and 'Mixt' configurations. These configurations showed a higher mortality risk than the mere accumulation of NCDs [Cardiovascular HR:1.65 (1.07-2.57); 'Mixt' HR:1.49 (1.00-2.22); ≥3 NCDs HR:1.31 (1.09-1.58)]. Frailty exhibited a high and constant mortality risk, irrespective of the presence of any NCD configuration or multimorbidity definition. However, HRs decreased and lost statistical significance when phenotypes were considered in the Cox models [frailty + 'Cardiovascular' HR:1.56 (1.00-2.42); frailty + 'Mixt':1.42 (0.95-2.11); and frailty + ≥ 3 NCDs HR:1.23 (1.02-1.49)]. CONCLUSIONS Frailty accompanying multimorbidity emerges as a more crucial indicator of mortality risk than multimorbidity alone. Therefore, studying NCD configurations is worthwhile as they may offer improved risk profiles for mortality as alternatives to straightforward counts.
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Affiliation(s)
- Rafael Ogaz-González
- Department of Public Health, Faculty of Medicine, National Autonomous University of México, Sixth Floor, Building B, 411A Circuito Escolar, Copilco Universidad, Mexico City, Coyoacán, 04360, Mexico
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Eva Corpeleijn
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | | | | | - Ricardo Antonio Escamilla-Santiago
- Department of Public Health, Faculty of Medicine, National Autonomous University of México, Sixth Floor, Building B, 411A Circuito Escolar, Copilco Universidad, Mexico City, Coyoacán, 04360, Mexico
| | - Malaquías López-Cervantes
- Department of Public Health, Faculty of Medicine, National Autonomous University of México, Sixth Floor, Building B, 411A Circuito Escolar, Copilco Universidad, Mexico City, Coyoacán, 04360, Mexico.
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15
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Lau CHE, Manou M, Markozannes G, Ala-Korpela M, Ben-Shlomo Y, Chaturvedi N, Engmann J, Gentry-Maharaj A, Herzig KH, Hingorani A, Järvelin MR, Kähönen M, Kivimäki M, Lehtimäki T, Marttila S, Menon U, Munroe PB, Palaniswamy S, Providencia R, Raitakari O, Schmidt AF, Sebert S, Wong A, Vineis P, Tzoulaki I, Robinson O. NMR metabolomic modeling of age and lifespan: A multicohort analysis. Aging Cell 2024:e14164. [PMID: 38637937 DOI: 10.1111/acel.14164] [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: 11/03/2023] [Revised: 03/05/2024] [Accepted: 03/19/2024] [Indexed: 04/20/2024] Open
Abstract
Metabolomic age models have been proposed for the study of biological aging, however, they have not been widely validated. We aimed to assess the performance of newly developed and existing nuclear magnetic resonance spectroscopy (NMR) metabolomic age models for prediction of chronological age (CA), mortality, and age-related disease. Ninety-eight metabolic variables were measured in blood from nine UK and Finnish cohort studies (N ≈31,000 individuals, age range 24-86 years). We used nonlinear and penalized regression to model CA and time to all-cause mortality. We examined associations of four new and two previously published metabolomic age models, with aging risk factors and phenotypes. Within the UK Biobank (N ≈102,000), we tested prediction of CA, incident disease (cardiovascular disease (CVD), type-2 diabetes mellitus, cancer, dementia, and chronic obstructive pulmonary disease), and all-cause mortality. Seven-fold cross-validated Pearson's r between metabolomic age models and CA ranged between 0.47 and 0.65 in the training cohort set (mean absolute error: 8-9 years). Metabolomic age models, adjusted for CA, were associated with C-reactive protein, and inversely associated with glomerular filtration rate. Positively associated risk factors included obesity, diabetes, smoking, and physical inactivity. In UK Biobank, correlations of metabolomic age with CA were modest (r = 0.29-0.33), yet all metabolomic model scores predicted mortality (hazard ratios of 1.01 to 1.06/metabolomic age year) and CVD, after adjustment for CA. While metabolomic age models were only moderately associated with CA in an independent population, they provided additional prediction of morbidity and mortality over CA itself, suggesting their wider applicability.
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Affiliation(s)
- Chung-Ho E Lau
- MRC Centre for Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
| | - Maria Manou
- Department of Hygiene and Epidemiology, University of Ioannina Medical School, Ioannina, Greece
| | - Georgios Markozannes
- MRC Centre for Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
- Department of Hygiene and Epidemiology, University of Ioannina Medical School, Ioannina, Greece
| | - Mika Ala-Korpela
- Systems Epidemiology, Faculty of Medicine, University of Oulu, Oulu, Finland
- Research Unit of Population Health, Faculty of Medicine, University of Oulu, Oulu, Finland
- Biocenter Oulu, University of Oulu, Oulu, Finland
- NMR Metabolomics Laboratory, School of Pharmacy, Faculty of Health Sciences, University of Eastern Finland, Kuopio, Finland
| | - Yoav Ben-Shlomo
- Population Health Sciences, University of Bristol, Bristol, UK
| | - Nish Chaturvedi
- MRC Unit for Lifelong Health and Ageing at UCL, University College London, London, UK
| | - Jorgen Engmann
- UCL Institute of Cardiovascular Science, Population Science and Experimental Medicine, Centre for Translational Genomics, London, UK
| | - Aleksandra Gentry-Maharaj
- MRC Clinical Trials Unit at UCL, Institute of Clinical Trials and Methodology, University College London, London, UK
- Department of Women's Cancer, Elizabeth Garrett Anderson Institute for Women's Health, University College London, London, UK
| | - Karl-Heinz Herzig
- Institute of Biomedicine and Internal Medicine, Biocenter of Oulu, Medical Research Center Oulu, Oulu University Hospital, Faculty of Medicine, Oulu University, Oulu, Finland
- Department of Pediatric Gastroenterology and Metabolic Diseases, Poznan University of Medical Sciences, Poznan, Poland
| | - Aroon Hingorani
- UCL Institute of Cardiovascular Science, Population Science and Experimental Medicine, Centre for Translational Genomics, London, UK
| | - Marjo-Riitta Järvelin
- MRC Centre for Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
- Research Unit of Population Health, Faculty of Medicine, University of Oulu, Oulu, Finland
- Department of Life Sciences, College of Health and Life Sciences, Brunel University London, London, UK
| | - Mika Kähönen
- Department of Clinical Physiology, Tampere University Hospital, Tampere, Finland
- Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
| | - Mika Kivimäki
- Brain Sciences, University College London, London, UK
| | - Terho Lehtimäki
- Faculty of Medicine and Health Technology and Finnish Cardiovascular Research Center Tampere, Tampere University, Tampere, Finland
- Department of Clinical Chemistry Fimlab Laboratories, Tampere, Finland
| | - Saara Marttila
- Molecular Epidemiology, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
- Gerontology Research Center (GEREC), Tampere University, Tampere, Finland
| | - Usha Menon
- MRC Clinical Trials Unit at UCL, Institute of Clinical Trials and Methodology, University College London, London, UK
| | - Patricia B Munroe
- William Harvey Research Institute, Barts and the London Faculty of Medicine and Dentistry, Queen Mary University of London, London, UK
- National Institute of Health and Care Research, Barts Cardiovascular Biomedical Research Centre, Queen Mary University of London, London, UK
| | - Saranya Palaniswamy
- Research Unit of Population Health, Faculty of Medicine, University of Oulu, Oulu, Finland
| | - Rui Providencia
- Institute of Health Informatics Research, University College London, London, UK
- Barts Heart Centre, Barts Health NHS Trust, London, UK
| | - Olli Raitakari
- Centre for Population Health Research, University of Turku and Turku University Hospital, Turku, Finland
- Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland
- Department of Clinical Physiology and Nuclear Medicine, Turku University Hospital, Turku, Finland
| | - Amand Floriaan Schmidt
- Institute of Cardiovascular Science, Faculty of Population Health Sciences, University College London, London, UK
- Department of Cardiology, Amsterdam Cardiovascular Science, Amsterdam University Medical Centers, University of Amsterdam, Amsterdam, The Netherlands
- UCL BHF Research Accelerator Centre, London, UK
| | - Sylvain Sebert
- Research Unit of Population Health, Faculty of Medicine, University of Oulu, Oulu, Finland
| | - Andrew Wong
- MRC Unit for Lifelong Health and Ageing at UCL, University College London, London, UK
| | - Paolo Vineis
- MRC Centre for Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
| | - Ioanna Tzoulaki
- MRC Centre for Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
- Biomedical Research Foundation, Academy of Athens, Athens, Greece
| | - Oliver Robinson
- MRC Centre for Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
- Ageing Epidemiology (AGE) Research Unit, School of Public Health, Imperial College London, London, UK
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16
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Ganau A, Orrù M, Floris M, Saba PS, Loi F, Sanna GD, Marongiu M, Balaci L, Curreli N, Ferreli LAP, Loi F, Masala M, Parodi G, Delitala AP, Schlessinger D, Lakatta E, Fiorillo E, Cucca F. Echocardiographic heart ageing patterns predict cardiovascular and non-cardiovascular events and reflect biological age: the SardiNIA study. Eur J Prev Cardiol 2024; 31:677-685. [PMID: 37527539 PMCID: PMC11025036 DOI: 10.1093/eurjpc/zwad254] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/10/2023] [Revised: 07/04/2023] [Accepted: 07/28/2023] [Indexed: 08/03/2023]
Abstract
AIMS Age is a crucial risk factor for cardiovascular (CV) and non-CV diseases. As people age at different rates, the concept of biological age has been introduced as a personalized measure of functional deterioration. Associations of age with echocardiographic quantitative traits were analysed to assess different heart ageing rates and their ability to predict outcomes and reflect biological age. METHODS AND RESULTS Associations of age with left ventricular mass, geometry, diastolic function, left atrial volume, and aortic root size were measured in 2614 healthy subjects. Based on the 95% two-sided tolerance intervals of each correlation, three discrete ageing trajectories were identified and categorized as 'slow', 'normal', and 'accelerated' heart ageing patterns. The primary endpoint included fatal and non-fatal CV events, and the secondary endpoint was a composite of CV and non-CV events and all-cause death. The phenotypic age of the heart (HeartPhAge) was estimated as a proxy of biological age. The slow ageing pattern was found in 8.7% of healthy participants, the normal pattern in 76.9%, and the accelerated pattern in 14.4%. Kaplan-Meier curves of the heart ageing patterns diverged significantly (P = 0.0001) for both primary and secondary endpoints, with the event rate being lowest in the slow, intermediate in the normal, and highest in the accelerated pattern. In the Cox proportional hazards model, heart ageing patterns predicted both primary (P = 0.01) and secondary (P = 0.03 to <0.0001) endpoints, independent of chronological age and risk factors. Compared with chronological age, HeartPhAge was 9 years younger in slow, 4 years older in accelerated (both P < 0.0001), and overlapping in normal ageing patterns. CONCLUSION Standard Doppler echocardiography detects slow, normal, and accelerated heart ageing patterns. They predict CV and non-CV events, reflect biological age, and provide a new tool to calibrate prevention timing and intensity.
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Affiliation(s)
- Antonello Ganau
- Department of Medicine, Surgery, and Pharmacy, University of Sassari, Via Istria12, 07100 Sassari, Italy, Italy
| | - Marco Orrù
- Armando Businco Hospital, Azienda Ospedaliera Brotzu, Cagliari 09047, Italy
| | - Matteo Floris
- Department of Biomedical Sciences, University of Sassari, Sassari 07100, Italy
- Institute of Genetics and Biomedical Research, National Research Council, Monserrato, Cagliari 09042, Italy
| | - Pier Sergio Saba
- Cardiac Thoracic Vascular Department, Azienda Ospedaliero Universitaria, Sassari 07100, Italy
| | - Federica Loi
- Department of Cardiac Thoracic Vascular Sciences and Public Health, University of Padova, Padova 35128, Italy
| | - Giuseppe D Sanna
- Cardiac Thoracic Vascular Department, Azienda Ospedaliero Universitaria, Sassari 07100, Italy
| | - Michele Marongiu
- Institute of Genetics and Biomedical Research, National Research Council, Monserrato, Cagliari 09042, Italy
| | - Lenuta Balaci
- Institute of Genetics and Biomedical Research, National Research Council, Monserrato, Cagliari 09042, Italy
| | - Niccolò Curreli
- Institute of Genetics and Biomedical Research, National Research Council, Monserrato, Cagliari 09042, Italy
| | - Liana A P Ferreli
- Institute of Genetics and Biomedical Research, National Research Council, Monserrato, Cagliari 09042, Italy
| | - Francesco Loi
- Institute of Genetics and Biomedical Research, National Research Council, Monserrato, Cagliari 09042, Italy
| | - Marco Masala
- Institute of Genetics and Biomedical Research, National Research Council, Monserrato, Cagliari 09042, Italy
| | - Guido Parodi
- Department of Medicine, Surgery, and Pharmacy, University of Sassari, Via Istria12, 07100 Sassari, Italy, Italy
| | - Alessandro P Delitala
- Department of Medicine, Surgery, and Pharmacy, University of Sassari, Via Istria12, 07100 Sassari, Italy, Italy
| | - David Schlessinger
- Laboratory of Genetics & Genomics, NIH/National Institute of Ageing, Bethesda, MD, USA
| | - Edward Lakatta
- Laboratory of Cardiovascular Science, NIH/National Institute of Ageing, Bethesda, MD, USA
| | - Edoardo Fiorillo
- Institute of Genetics and Biomedical Research, National Research Council, Monserrato, Cagliari 09042, Italy
| | - Francesco Cucca
- Department of Biomedical Sciences, University of Sassari, Sassari 07100, Italy
- Institute of Genetics and Biomedical Research, National Research Council, Monserrato, Cagliari 09042, Italy
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17
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Forrester SN, Baek J, Hou L, Roger V, Kiefe CI. A Comparison of 5 Measures of Accelerated Biological Aging and Their Association With Incident Cardiovascular Disease: The CARDIA Study. J Am Heart Assoc 2024; 13:e032847. [PMID: 38606769 DOI: 10.1161/jaha.123.032847] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/25/2023] [Accepted: 03/04/2024] [Indexed: 04/13/2024]
Abstract
BACKGROUND Accelerated biological aging is an increasingly popular way to track the acceleration of biology over time that may not be captured by calendar time. Biological aging has been linked to external and internal chronic stressors and has the potential to be used clinically to understand a person's personalized functioning and predict future disease. We compared the association of different measures of biological aging and incident cardiovascular disease (CVD) overall and by race. METHODS AND RESULTS We used multiple informants models to compare the strength of clinical marker-derived age acceleration, 5 measures of epigenetic age acceleration (intrinsic and extrinsic epigenetic age acceleration, GrimAge acceleration, and PhenoAge acceleration), and 1 established clinical predictor of future CVD, Framingham 10-year risk score, with incident CVD over an 11-year period (2007-2018). Participants were 913 self-identified Black or White (41% and 59%, respectively) female or male (51% and 49%, respectively) individuals enrolled in the US-based CARDIA (Coronary Artery Risk Development in Young Adults) cohort study. The analytic baseline for this study was the 20-year follow-up examination (2005-2006; median age 45 years). We also included race-specific analysis. We found that all measures were modestly correlated with one another. However, clinical marker-derived age acceleration and Framingham 10-year risk score were more strongly associated with incident CVD than all the epigenetic measures. Clinical marker-derived age acceleration and Framingham 10-year risk score were not significantly different than one another in their association with incident CVD. CONCLUSIONS The type of accelerated aging measure should be taken into consideration when comparing their association with clinical outcomes. A multisystem clinical composite shows associations with incident CVD equally to a well-known clinical predictor.
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Affiliation(s)
- Sarah N Forrester
- Division of Epidemiology, Department of Population and Quantitative Health Sciences University of Massachusetts Chan Medical School Worcester MA
| | - Jonggyu Baek
- Division of Biostatistics and Health Services, Department of Population and Quantitative Health Sciences University of Massachusetts Chan Medical School Worcester MA
| | - Lifang Hou
- Department of Preventive Medicine, Feinberg School of Medicine Northwestern University Chicago IL
| | - Veronique Roger
- Laboratory of Heart Disease Phenomics National Heart, Lung, and Blood Institute Bethesda MD
| | - Catarina I Kiefe
- Department of Population and Quantitative Health Sciences University of Massachusetts Chan Medical School Worcester MA
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18
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Ryan CP, Lee NR, Carba DB, MacIsaac JL, Lin DTS, Atashzay P, Belsky DW, Kobor MS, Kuzawa CW. Pregnancy is linked to faster epigenetic aging in young women. Proc Natl Acad Sci U S A 2024; 121:e2317290121. [PMID: 38588424 PMCID: PMC11032455 DOI: 10.1073/pnas.2317290121] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2023] [Accepted: 02/13/2024] [Indexed: 04/10/2024] Open
Abstract
A central prediction of evolutionary theory is that energy invested into reproduction comes at the expense of somatic maintenance and repair, accelerating biological aging. Supporting this prediction are findings that high fertility among women predicts shorter lifespan and poorer health later in life. However, biological aging is thought to begin before age-related health declines, limiting the applicability of morbidity and mortality for studying the aging process earlier in life. Here, we examine the relationship between reproductive history and biological aging in a sample of young (20 to 22yo) men and women from the Cebu Longitudinal Health and Nutrition Survey, located in the Philippines (n = 1,735). We quantify biological aging using six measures, collectively known as epigenetic clocks, reflecting various facets of cellular aging, health, and mortality risk. In a subset of women, we test whether longitudinal changes in gravidity between young and early-middle adulthood (25 to 31yo) are associated with changes in epigenetic aging during that time. Cross-sectionally, gravidity was associated with all six measures of accelerated epigenetic aging in women (n = 825). Furthermore, longitudinal increases in gravidity were linked to accelerated epigenetic aging in two epigenetic clocks (n = 331). In contrast, the number of pregnancies a man reported fathering was not associated with epigenetic aging among same-aged cohort men (n = 910). These effects were robust to socioecological, environmental, and immunological factors, consistent with the hypothesis that pregnancy accelerates biological aging and that these effects can be detected in young women in a high-fertility context.
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Affiliation(s)
- Calen P. Ryan
- Robert N. Butler Columbia Aging Center, Mailman School of Public Health, Columbia University, New York, NY10032
| | - Nanette R. Lee
- USC-Office of Population Studies Foundation, University of San Carlos, Talamban, Cebu City6000, Philippines
| | - Delia B. Carba
- USC-Office of Population Studies Foundation, University of San Carlos, Talamban, Cebu City6000, Philippines
| | - Julie L. MacIsaac
- BC Children’s Hospital Research Institute, University of British Columbia, Vancouver, BCV5Z 4H4, Canada
| | - David T. S. Lin
- BC Children’s Hospital Research Institute, University of British Columbia, Vancouver, BCV5Z 4H4, Canada
| | - Parmida Atashzay
- BC Children’s Hospital Research Institute, University of British Columbia, Vancouver, BCV5Z 4H4, Canada
| | - Daniel W. Belsky
- Robert N. Butler Columbia Aging Center, Mailman School of Public Health, Columbia University, New York, NY10032
- Department of Epidemiology, Columbia University Mailman School of Public Health, Columbia University, New York, NY10032
- Child and Brain Development Program, Canadian Institute for Advanced Research, TorontoONM5G 1M1, Canada
| | - Michael S. Kobor
- BC Children’s Hospital Research Institute, University of British Columbia, Vancouver, BCV5Z 4H4, Canada
- Child and Brain Development Program, Canadian Institute for Advanced Research, TorontoONM5G 1M1, Canada
- Department of Medical Genetics, Faculty of Medicine, University of British Columbia, Vancouver, BC V6T 2A1, Canada
- Centre for Molecular Medicine and Therapeutics, Vancouver, BCV5Z 4H4, Canada
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19
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Zhang W, Wang J, Xie F, Wang X, Dong S, Luo N, Li F, Li Y. Development and validation of machine learning models to predict frailty risk for elderly. J Adv Nurs 2024. [PMID: 38605460 DOI: 10.1111/jan.16192] [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: 01/24/2022] [Revised: 03/16/2024] [Accepted: 03/28/2024] [Indexed: 04/13/2024]
Abstract
AIMS Early identification and intervention of the frailty of the elderly will help lighten the burden of social medical care and improve the quality of life of the elderly. Therefore, we used machine learning (ML) algorithm to develop models to predict frailty risk in the elderly. DESIGN A prospective cohort study. METHODS We collected data on 6997 elderly people from Chinese Longitudinal Healthy Longevity Study wave 6-7 surveys (2011-2012, 2014). After the baseline survey in 1998 (wave 1), the project conducted follow-up surveys (wave 2-8) in 2000-2018. The osteoporotic fractures index was used to assess frailty. Four ML algorithms (random forest [RF], support vector machine, XGBoost and logistic regression [LR]) were used to develop models to identify the risk factors of frailty and predict the risk of frailty. Different ML models were used for the prediction of frailty risk in the elderly and frailty risk was trained on a cohort of 4385 elderly people with frailty (split into a training cohort [75%] and internal validation cohort [25%]). The best-performing model for each study outcome was tested in an external validation cohort of 6997 elderly people with frailty pooled from the surveys (wave 6-7). Model performance was assessed by receiver operating curve and F2-score. RESULTS Among the four ML models, the F2-score values were similar (0.91 vs. 0.91 vs. 0.88 vs. 0.90), and the area under the curve (AUC) values of RF model was the highest (0.75), followed by LR model (0.74). In the final two models, the AUC values of RF and LR model were similar (0.77 vs. 0.76) and their accuracy was identical (87.4% vs. 87.4%). CONCLUSION Our study developed a preliminary prediction model based on two different ML approaches to help predict frailty risk in the elderly. IMPACT The presented models from this study can be used to inform healthcare providers to predict the frailty probability among older adults and maybe help guide the development of effective frailty risk management interventions. IMPLICATIONS FOR THE PROFESSION AND/OR PATIENT CARE Detecting frailty at an early stage and implementing timely targeted interventions may help to improve the allocation of health care resources and to reduce frailty-related burden. Identifying risk factors for frailty could be beneficial to provide tailored and personalized care intervention for older adults to more accurately prevent or improve their frail conditions so as to improve their quality of life. REPORTING METHOD The study has adhered to STROBE guidelines. PATIENT OR PUBLIC CONTRIBUTION No patient or public contribution.
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Affiliation(s)
- Wei Zhang
- First Affiliated Hospital of Kunming Medical University, Kunming, China
| | - Junchao Wang
- China-Japan Union Hospital of Jilin University, Changchun, China
| | - Fang Xie
- Zhejiang University School of Medicine, Hangzhou, China
| | - Xinghui Wang
- School of Nursing, Jilin University, Changchun, China
| | - Shanshan Dong
- Hepatopancreatobiliary Surgery Department, General External Center, First Hospital of Jilin University, Changchun, China
| | - Nan Luo
- The Second Hospital of Jilin University, Changchun, China
| | - Feng Li
- School of Nursing, Jilin University, Changchun, China
| | - Yuewei Li
- School of Nursing, Jilin University, Changchun, China
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20
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Whitman ET, Ryan CP, Abraham WC, Addae A, Corcoran DL, Elliott ML, Hogan S, Ireland D, Keenan R, Knodt AR, Melzer TR, Poulton R, Ramrakha S, Sugden K, Williams BS, Zhou J, Hariri AR, Belsky DW, Moffitt TE, Caspi A. A blood biomarker of the pace of aging is associated with brain structure: replication across three cohorts. Neurobiol Aging 2024; 136:23-33. [PMID: 38301452 PMCID: PMC11017787 DOI: 10.1016/j.neurobiolaging.2024.01.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2023] [Revised: 01/16/2024] [Accepted: 01/19/2024] [Indexed: 02/03/2024]
Abstract
Biological aging is the correlated decline of multi-organ system integrity central to the etiology of many age-related diseases. A novel epigenetic measure of biological aging, DunedinPACE, is associated with cognitive dysfunction, incident dementia, and mortality. Here, we tested for associations between DunedinPACE and structural MRI phenotypes in three datasets spanning midlife to advanced age: the Dunedin Study (age=45 years), the Framingham Heart Study Offspring Cohort (mean age=63 years), and the Alzheimer's Disease Neuroimaging Initiative (mean age=75 years). We also tested four additional epigenetic measures of aging: the Horvath clock, the Hannum clock, PhenoAge, and GrimAge. Across all datasets (total N observations=3380; total N individuals=2322), faster DunedinPACE was associated with lower total brain volume, lower hippocampal volume, greater burden of white matter microlesions, and thinner cortex. Across all measures, DunedinPACE and GrimAge had the strongest and most consistent associations with brain phenotypes. Our findings suggest that single timepoint measures of multi-organ decline such as DunedinPACE could be useful for gauging nervous system health.
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Affiliation(s)
- Ethan T Whitman
- Department of Psychology and Neuroscience, Duke University, Durham, NC, USA.
| | - Calen P Ryan
- Butler Columbia Aging Center, Columbia University Mailman School of Public Health, New York, USA
| | | | - Angela Addae
- Department of Psychology and Neuroscience, Duke University, Durham, NC, USA
| | - David L Corcoran
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Maxwell L Elliott
- Department of Psychology, Center for Brain Science, Harvard University, Cambridge, MA, USA
| | - Sean Hogan
- Dunedin Multidisciplinary Health and Development Research Unit, Department of Psychology, University of Otago, Dunedin, New Zealand
| | - David Ireland
- Dunedin Multidisciplinary Health and Development Research Unit, Department of Psychology, University of Otago, Dunedin, New Zealand
| | - Ross Keenan
- Brain Research New Zealand-Rangahau Roro Aotearoa, Centre of Research Excellence, Universities of Auckland and Otago, New Zealand; Christchurch Radiology Group, Christchurch, New Zealand
| | - Annchen R Knodt
- Department of Psychology and Neuroscience, Duke University, Durham, NC, USA
| | - Tracy R Melzer
- Brain Research New Zealand-Rangahau Roro Aotearoa, Centre of Research Excellence, Universities of Auckland and Otago, New Zealand; Department of Medicine, University of Otago, Christchurch, New Zealand
| | - Richie Poulton
- Dunedin Multidisciplinary Health and Development Research Unit, Department of Psychology, University of Otago, Dunedin, New Zealand
| | - Sandhya Ramrakha
- Dunedin Multidisciplinary Health and Development Research Unit, Department of Psychology, University of Otago, Dunedin, New Zealand
| | - Karen Sugden
- Department of Psychology and Neuroscience, Duke University, Durham, NC, USA
| | | | - Jiayi Zhou
- Butler Columbia Aging Center, Columbia University Mailman School of Public Health, New York, USA
| | - Ahmad R Hariri
- Department of Psychology and Neuroscience, Duke University, Durham, NC, USA
| | - Daniel W Belsky
- Butler Columbia Aging Center, Columbia University Mailman School of Public Health, New York, USA; Department of Epidemiology, Columbia University Mailman School of Public Health, New York, USA
| | - Terrie E Moffitt
- Department of Psychology and Neuroscience, Duke University, Durham, NC, USA; Center for Genomic and Computational Biology, Duke University, Durham, NC, USA; King's College London, Social, Genetic, and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology, & Neuroscience, London, UK; PROMENTA, Department of Psychology, University of Oslo, Norway; Department of Psychiatry and Behavioral Sciences, Duke University, Durham, NC, USA
| | - Avshalom Caspi
- Department of Psychology and Neuroscience, Duke University, Durham, NC, USA; Center for Genomic and Computational Biology, Duke University, Durham, NC, USA; King's College London, Social, Genetic, and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology, & Neuroscience, London, UK; PROMENTA, Department of Psychology, University of Oslo, Norway; Department of Psychiatry and Behavioral Sciences, Duke University, Durham, NC, USA
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21
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Chojnacki C, Mędrek-Socha M, Błońska A, Błasiak J, Popławski T, Chojnacki J, Gąsiorowska A. A Low FODMAP Diet Supplemented with L-Tryptophan Reduces the Symptoms of Functional Constipation in Elderly Patients. Nutrients 2024; 16:1027. [PMID: 38613060 PMCID: PMC11013207 DOI: 10.3390/nu16071027] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2024] [Revised: 03/19/2024] [Accepted: 03/28/2024] [Indexed: 04/14/2024] Open
Abstract
(1) Background: The elderly suffer from functional constipation (FC), whose causes are not fully known, but nutritional factors may play a role. The aim of the present study was to assess the effect of a low FODMAP diet supplemented with L-tryptophan (TRP) on its metabolism and symptoms of functional constipation in elderly patients. (2) Methods: This study included 40 people without abdominal complaints (Group I, controls) and 60 patients with FC, diagnosed according to the Rome IV Criteria (Group II). Two groups were randomly selected: Group IIA (n = 30) was qualified for administration of the low FODMAP diet, and the diet of patients of Group IIB (n = 30) was supplemented with 1000 mg TRP per day. The severity of abdominal symptoms was assessed with an abdominal pain index ranging from 1 to 7 points (S-score). The concentration of TRP and its metabolites, 5-hydroxyindoleacetic acid (5-HIAA), kynurenine (KYN), and 3-indoxyl sulfate (3-IS) in urine were determined using the LC-MS/MS method. (3) Results: In Group II, 5-HIAA concentration in urine was lower, and KYN and 3-IS concentrations were higher than in the control group. A negative correlation was found between the S-score and urinary concentration of 5-HIAA (p < 0.001), and 3-IS concentration was positively correlated with the S-score. However, the correlation between the S-score and 3-IS concentration was negative (p < 0.01). After a dietary intervention, 5-HIAA concentration increased in both groups, and the severity of symptoms decreased, but the decrease was more pronounced in Group IIB. (4) Conclusion: A low FODMAP diet supplemented with L-tryptophan has beneficial effects in elderly patients suffering from functional constipation.
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Affiliation(s)
- Cezary Chojnacki
- Department of Clinical Nutrition and Gastroenterological Diagnostics, Medical University of Lodz, 90-647 Lodz, Poland; (M.M.-S.); (A.B.); (J.C.)
| | - Marta Mędrek-Socha
- Department of Clinical Nutrition and Gastroenterological Diagnostics, Medical University of Lodz, 90-647 Lodz, Poland; (M.M.-S.); (A.B.); (J.C.)
| | - Aleksandra Błońska
- Department of Clinical Nutrition and Gastroenterological Diagnostics, Medical University of Lodz, 90-647 Lodz, Poland; (M.M.-S.); (A.B.); (J.C.)
| | - Janusz Błasiak
- Faculty of Medicine, Collegium Medicum, Mazovian Academy in Plock, 09-402 Plock, Poland;
| | - Tomasz Popławski
- Department of Pharmaceutical Microbiology and Biochemistry, Medical University of Lodz, 90-236 Lodz, Poland;
| | - Jan Chojnacki
- Department of Clinical Nutrition and Gastroenterological Diagnostics, Medical University of Lodz, 90-647 Lodz, Poland; (M.M.-S.); (A.B.); (J.C.)
| | - Anita Gąsiorowska
- Department of Gastroenterology, Medical University of Lodz, 92-213 Lodz, Poland;
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22
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Rocha GS, Freire MAM, Paiva KM, Oliveira RF, Morais PLAG, Santos JR, Cavalcanti JRLP. The neurobiological effects of senescence on dopaminergic system: A comprehensive review. J Chem Neuroanat 2024; 137:102415. [PMID: 38521203 DOI: 10.1016/j.jchemneu.2024.102415] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/26/2023] [Revised: 02/26/2024] [Accepted: 03/15/2024] [Indexed: 03/25/2024]
Abstract
Over time, the body undergoes a natural, multifactorial, and ongoing process named senescence, which induces changes at the molecular, cellular, and micro-anatomical levels in many body systems. The brain, being a highly complex organ, is particularly affected by this process, potentially impairing its numerous functions. The brain relies on chemical messengers known as neurotransmitters to function properly, with dopamine being one of the most crucial. This catecholamine is responsible for a broad range of critical roles in the central nervous system, including movement, learning, cognition, motivation, emotion, reward, hormonal release, memory consolidation, visual performance, sexual drive, modulation of circadian rhythms, and brain development. In the present review, we thoroughly examine the impact of senescence on the dopaminergic system, with a primary focus on the classic delimitations of the dopaminergic nuclei from A8 to A17. We provide in-depth information about their anatomy and function, particularly addressing how senescence affects each of these nuclei.
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Affiliation(s)
- Gabriel S Rocha
- Behavioral and Evolutionary Neurobiology Laboratory, Federal University of Sergipe (UFS), Itabaiana, Brazil
| | - Marco Aurelio M Freire
- Behavioral and Evolutionary Neurobiology Laboratory, Federal University of Sergipe (UFS), Itabaiana, Brazil
| | - Karina M Paiva
- Laboratory of Experimental Neurology, State University of Rio Grande do Norte (UERN), Mossoró, Brazil
| | - Rodrigo F Oliveira
- Laboratory of Experimental Neurology, State University of Rio Grande do Norte (UERN), Mossoró, Brazil
| | - Paulo Leonardo A G Morais
- Laboratory of Experimental Neurology, State University of Rio Grande do Norte (UERN), Mossoró, Brazil
| | - José Ronaldo Santos
- Behavioral and Evolutionary Neurobiology Laboratory, Federal University of Sergipe (UFS), Itabaiana, Brazil
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23
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Hu FB. Diet strategies for promoting healthy aging and longevity: An epidemiological perspective. J Intern Med 2024; 295:508-531. [PMID: 37867396 PMCID: PMC10939982 DOI: 10.1111/joim.13728] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/24/2023]
Abstract
In recent decades, global life expectancies have risen significantly, accompanied by a marked increase in chronic diseases and population aging. This narrative review aims to summarize recent findings on the dietary factors influencing chronic diseases and longevity, primarily from large cohort studies. First, maintaining a healthy weight throughout life is pivotal for healthy aging and longevity, mirroring the benefits of lifelong, moderate calorie restriction in today's obesogenic food environment. Second, the specific types or food sources of dietary fat, protein, and carbohydrates are more important in influencing chronic disease risk and mortality than their quantity. Third, some traditional diets (e.g., the Mediterranean, Nordic, and Okinawa) and contemporary dietary patterns, such as healthy plant-based diet index, the DASH (dietary approaches to stop hypertension) diet, and alternate healthy eating index, have been associated with lower mortality and healthy longevity. These patterns share many common components (e.g., a predominance of nutrient-rich plant foods; limited red and processed meats; culinary herbs and spices prevalent in global cuisines) while embracing distinct elements from different cultures. Fourth, combining a healthy diet with other lifestyle factors could extend disease-free life expectancies by 8-10 years. While adhering to core principles of healthy diets, it is crucial to adapt dietary recommendations to individual preferences and cultures as well as nutritional needs of aging populations. Public health strategies should aim to create a healthier food environment where nutritious options are readily accessible, especially in public institutions and care facilities for the elderly. Although further mechanistic studies and human trials are needed to better understand molecular effects of diet on aging, there is a pressing need to establish and maintain long-term cohorts studying diet and aging in culturally diverse populations.
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Affiliation(s)
- Frank B. Hu
- Departments of Nutrition and Epidemiology, Harvard T.H. Chan School of Public Health, 665 Huntington Avenue, Boston, MA 02115, USA
- Channing Division of Network Medicine, Brigham and Women’s Hospital, Harvard Medical School, 181 Longwood Avenue, Boston, MA 02115. USA
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24
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Wu AG, Yong YY, He CL, Li YP, Zhou XY, Yu L, Chen Q, Lan C, Liu J, Yu CL, Qin DL, Wu JM, Zhou XG. Novel 18-norspirostane steroidal saponins: Extending lifespan and mitigating neurodegeneration through promotion of mitophagy and mitochondrial biogenesis in Caenorhabditis elegans. Mech Ageing Dev 2024; 218:111901. [PMID: 38215997 DOI: 10.1016/j.mad.2024.111901] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2023] [Revised: 01/02/2024] [Accepted: 01/05/2024] [Indexed: 01/14/2024]
Abstract
Pharmacological strategies to delay aging and combat age-related diseases are increasingly promising. This study explores the anti-aging and therapeutic effects of two novel 18-norspirostane steroidal saponins from Trillium tschonoskii Maxim, namely deoxytrillenoside CA (DTCA) and epitrillenoside CA (ETCA), using Caenorhabditis elegans (C. elegans). Both DTCA and ETCA significantly extended the lifespan of wild-type N2 worms and improved various age-related phenotypes, including muscle health, motility, pumping rate, and lipofuscin accumulation. Furthermore, these compounds exhibited notable alleviation of pathology associated with Parkinson's disease (PD) and Huntington's disease (HD), such as the reduction of α-synuclein and poly40 aggregates, improvement in motor deficits, and mitigation of neuronal damage. Meanwhile, DTCA and ETCA improved the lifespan and healthspan of PD- and HD-like C. elegans models. Additionally, DTCA and ETCA enhanced the resilience of C. elegans against heat and oxidative stress challenges. Mechanistic studies elucidated that DTCA and ETCA induced mitophagy and promoted mitochondrial biogenesis in C. elegans, while genetic mutations or RNAi knockdown affecting mitophagy and mitochondrial biogenesis effectively eliminated their capacity to extend lifespan and reduce pathological protein aggregates. Together, these compelling findings highlight the potential of DTCA and ETCA as promising therapeutic interventions for delaying aging and preventing age-related diseases.
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Affiliation(s)
- An-Guo Wu
- Sichuan Key Medical Laboratory of New Drug Discovery and Drugability Evaluation, Luzhou Key Laboratory of Activity Screening and Druggability Evaluation for Chinese Materia Medica, Key Laboratory of Medical Electrophysiology of Ministry of Education, School of Pharmacy, Southwest Medical University, Luzhou, Sichuan 646000, China
| | - Yuan-Yuan Yong
- Sichuan Key Medical Laboratory of New Drug Discovery and Drugability Evaluation, Luzhou Key Laboratory of Activity Screening and Druggability Evaluation for Chinese Materia Medica, Key Laboratory of Medical Electrophysiology of Ministry of Education, School of Pharmacy, Southwest Medical University, Luzhou, Sichuan 646000, China
| | - Chang-Long He
- Sichuan Key Medical Laboratory of New Drug Discovery and Drugability Evaluation, Luzhou Key Laboratory of Activity Screening and Druggability Evaluation for Chinese Materia Medica, Key Laboratory of Medical Electrophysiology of Ministry of Education, School of Pharmacy, Southwest Medical University, Luzhou, Sichuan 646000, China; Department of Pharmacy, Nanchong Central Hospital, The Second Clinical Medical College, North Sichuan Medical College, Nanchong, Sichuan 637000, China
| | - Ya-Ping Li
- Sichuan Key Medical Laboratory of New Drug Discovery and Drugability Evaluation, Luzhou Key Laboratory of Activity Screening and Druggability Evaluation for Chinese Materia Medica, Key Laboratory of Medical Electrophysiology of Ministry of Education, School of Pharmacy, Southwest Medical University, Luzhou, Sichuan 646000, China; Central Nervous System Drug Key Laboratory of Sichuan Province, Luzhou, Sichuan 646000, China
| | - Xing-Yue Zhou
- Sichuan Key Medical Laboratory of New Drug Discovery and Drugability Evaluation, Luzhou Key Laboratory of Activity Screening and Druggability Evaluation for Chinese Materia Medica, Key Laboratory of Medical Electrophysiology of Ministry of Education, School of Pharmacy, Southwest Medical University, Luzhou, Sichuan 646000, China; Central Nervous System Drug Key Laboratory of Sichuan Province, Luzhou, Sichuan 646000, China
| | - Lu Yu
- Sichuan Key Medical Laboratory of New Drug Discovery and Drugability Evaluation, Luzhou Key Laboratory of Activity Screening and Druggability Evaluation for Chinese Materia Medica, Key Laboratory of Medical Electrophysiology of Ministry of Education, School of Pharmacy, Southwest Medical University, Luzhou, Sichuan 646000, China
| | - Qi Chen
- Department of Endocrinology and Metabolism, The Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan 646000, China
| | - Cai Lan
- Sichuan Key Medical Laboratory of New Drug Discovery and Drugability Evaluation, Luzhou Key Laboratory of Activity Screening and Druggability Evaluation for Chinese Materia Medica, Key Laboratory of Medical Electrophysiology of Ministry of Education, School of Pharmacy, Southwest Medical University, Luzhou, Sichuan 646000, China
| | - Jian Liu
- Sichuan Key Medical Laboratory of New Drug Discovery and Drugability Evaluation, Luzhou Key Laboratory of Activity Screening and Druggability Evaluation for Chinese Materia Medica, Key Laboratory of Medical Electrophysiology of Ministry of Education, School of Pharmacy, Southwest Medical University, Luzhou, Sichuan 646000, China
| | - Chong-Lin Yu
- Sichuan Key Medical Laboratory of New Drug Discovery and Drugability Evaluation, Luzhou Key Laboratory of Activity Screening and Druggability Evaluation for Chinese Materia Medica, Key Laboratory of Medical Electrophysiology of Ministry of Education, School of Pharmacy, Southwest Medical University, Luzhou, Sichuan 646000, China
| | - Da-Lian Qin
- Sichuan Key Medical Laboratory of New Drug Discovery and Drugability Evaluation, Luzhou Key Laboratory of Activity Screening and Druggability Evaluation for Chinese Materia Medica, Key Laboratory of Medical Electrophysiology of Ministry of Education, School of Pharmacy, Southwest Medical University, Luzhou, Sichuan 646000, China
| | - Jian-Ming Wu
- Sichuan Key Medical Laboratory of New Drug Discovery and Drugability Evaluation, Luzhou Key Laboratory of Activity Screening and Druggability Evaluation for Chinese Materia Medica, Key Laboratory of Medical Electrophysiology of Ministry of Education, School of Pharmacy, Southwest Medical University, Luzhou, Sichuan 646000, China.
| | - Xiao-Gang Zhou
- Sichuan Key Medical Laboratory of New Drug Discovery and Drugability Evaluation, Luzhou Key Laboratory of Activity Screening and Druggability Evaluation for Chinese Materia Medica, Key Laboratory of Medical Electrophysiology of Ministry of Education, School of Pharmacy, Southwest Medical University, Luzhou, Sichuan 646000, China; Central Nervous System Drug Key Laboratory of Sichuan Province, Luzhou, Sichuan 646000, China.
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25
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Wang X, Yan X, Li M, Cheng L, Qi X, Zhang J, Pan S, Xu X, Wei W, Li Y. U-shaped association between sleep duration and biological aging: Evidence from the UK Biobank study. Aging Cell 2024:e14159. [PMID: 38556842 DOI: 10.1111/acel.14159] [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: 11/30/2023] [Revised: 03/11/2024] [Accepted: 03/12/2024] [Indexed: 04/02/2024] Open
Abstract
Previous research on sleep and aging largely has failed to illustrate the optimal dose-response curve of this relationship. We aimed to analyze the associations between sleep duration and measures of predicted age. In total, 241,713 participants from the UK Biobank were included. Habitual sleep duration was collected from the baseline questionnaire. Four indicators, homeostatic dysregulation (HD), phenoAge (PA), Klemera-Doubal method (KDM), and allostatic load (AL), were chosen to assess predicted age. Multivariate linear regression models were utilized. The association of sleep duration and predicted age followed a U-shape (All p for nonlinear <0.05). Compared with individuals who sleep for 7 h/day, the multivariable-adjusted beta of ≤5 and ≥9 h/day were 0.05 (95% CI 0.03, 0.07) and 0.03 (95% CI 0.02, 0.05) for HD, 0.08 (95% CI 0.01, 0.14) and 0.36 (95% CI 0.31, 0.41) for PA, and 0.21 (95% CI 0.12, 0.30) and 0.30 (95% CI 0.23, 0.37) for KDM. Significant independent and joint effects of sleep and cystatin C (CysC) and gamma glutamyltransferase (GGT) on predicted age metrics were future found. Similar results were observed when conducting stratification analyses. Short and long sleep duration were associated with accelerated predicted age metrics mediated by CysC and GGT.
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Affiliation(s)
- Xuanyang Wang
- Department of Nutrition and Food Hygiene, School of Public Health, Key Laboratory of Precision Nutrition and Health, Ministry of Education, Harbin Medical University, Harbin, Heilongjiang, China
| | - Xuemin Yan
- Department of Nutrition and Food Hygiene, School of Public Health, Key Laboratory of Precision Nutrition and Health, Ministry of Education, Harbin Medical University, Harbin, Heilongjiang, China
| | - Mengdi Li
- Department of Endodontics, The First Hospital, Harbin Medical University, Harbin, China
| | - Licheng Cheng
- Department of Nutrition and Food Hygiene, School of Public Health, Key Laboratory of Precision Nutrition and Health, Ministry of Education, Harbin Medical University, Harbin, Heilongjiang, China
| | - Xiang Qi
- Department of Nutrition and Food Hygiene, School of Public Health, Key Laboratory of Precision Nutrition and Health, Ministry of Education, Harbin Medical University, Harbin, Heilongjiang, China
| | - Jia Zhang
- Department of Nutrition and Food Hygiene, School of Public Health, Key Laboratory of Precision Nutrition and Health, Ministry of Education, Harbin Medical University, Harbin, Heilongjiang, China
| | - Sijia Pan
- Department of Nutrition and Food Hygiene, School of Public Health, Key Laboratory of Precision Nutrition and Health, Ministry of Education, Harbin Medical University, Harbin, Heilongjiang, China
| | - Xiaoqing Xu
- Department of Nutrition and Food Hygiene, School of Public Health, Key Laboratory of Precision Nutrition and Health, Ministry of Education, Harbin Medical University, Harbin, Heilongjiang, China
| | - Wei Wei
- Department of Nutrition and Food Hygiene, School of Public Health, Key Laboratory of Precision Nutrition and Health, Ministry of Education, Harbin Medical University, Harbin, Heilongjiang, China
- Department of Pharmacology, College of Pharmacy, Key Laboratory of Cardiovascular Research, Ministry of Education, Harbin Medical University, Harbin, China
| | - Ying Li
- Department of Nutrition and Food Hygiene, School of Public Health, Key Laboratory of Precision Nutrition and Health, Ministry of Education, Harbin Medical University, Harbin, Heilongjiang, China
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26
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Raffington L. Utilizing epigenetics to study the shared nature of development and biological aging across the lifespan. NPJ SCIENCE OF LEARNING 2024; 9:24. [PMID: 38509146 PMCID: PMC10954727 DOI: 10.1038/s41539-024-00239-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/20/2023] [Accepted: 03/13/2024] [Indexed: 03/22/2024]
Abstract
Recently, biological aging has been quantified in DNA-methylation samples of older adults and applied as so-called "methylation profile scores" (MPSs) in separate target samples, including samples of children. This nascent research indicates that (1) biological aging can be quantified early in the life course, decades before the onset of aging-related disease, (2) is affected by common environmental predictors of childhood development, and (3) shows overlap with "developmental processes" (e.g., puberty). Because the MPSs were computed using algorithms developed in adults, these studies indicate a molecular link between childhood environments, development, and adult biological aging. Yet, if MPSs can be used to connect development and aging, previous research has only traveled one way, deriving MPSs developed in adults and applying them to samples of children. Researchers have not yet quantified epigenetic measures that reflect the pace of child development, and tested whether resulting MPSs are associated with physical and psychological aging. In this perspective I posit that combining measures of biological aging with new quantifications of child development has the power to address fundamental questions about life span: How are development and experience in childhood related to biological aging in adulthood? And what is aging?
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Affiliation(s)
- Laurel Raffington
- Max Planck Research Group Biosocial-Biology, Social Disparities, and Development, Max Planck Institute for Human Development, Lentzeallee 94, 14195, Berlin, Germany.
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Jia Q, Chen C, Xu A, Wang S, He X, Shen G, Luo Y, Tu H, Sun T, Wu X. A biological age model based on physical examination data to predict mortality in a Chinese population. iScience 2024; 27:108891. [PMID: 38384842 PMCID: PMC10879664 DOI: 10.1016/j.isci.2024.108891] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2023] [Revised: 09/02/2023] [Accepted: 01/09/2024] [Indexed: 02/23/2024] Open
Abstract
Biological age could be reflective of an individual's health status and aging degree. Limited estimations of biological aging based on physical examination data in the Chinese population have been developed to quantify the rate of aging. We developed and validated a novel aging measure (Balanced-AGE) based on readily available physical health examination data. In this study, a repeated sub-sampling approach was applied to address the data imbalance issue, and this approach significantly improved the performance of biological age (Balanced-AGE) in predicting all-cause mortality with a 10-year time-dependent AUC of 0.908 for all-cause mortality. This mortality prediction tool was found to be effective across different subgroups by age, sex, smoking, and alcohol consumption status. Additionally, this study revealed that individuals who were underweight, smokers, or drinkers had a higher extent of age acceleration. The Balanced-AGE may serve as an effective and generally applicable tool for health assessment and management among the elderly population.
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Affiliation(s)
- Qingqing Jia
- Department of Big Data in Health Science School of Public Health, Center of Clinical Big Data and Analytics of The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310058, China
| | - Chen Chen
- Department of Big Data in Health Science School of Public Health, Center of Clinical Big Data and Analytics of The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310058, China
| | - Andi Xu
- Department of Big Data in Health Science School of Public Health, Center of Clinical Big Data and Analytics of The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310058, China
| | - Sicong Wang
- Department of Big Data in Health Science School of Public Health, Center of Clinical Big Data and Analytics of The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310058, China
| | - Xiaojie He
- Health Management Center, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou 310009, China
| | - Guoli Shen
- Health Management Center, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou 310009, China
| | - Yihong Luo
- Department of Big Data in Health Science School of Public Health, Center of Clinical Big Data and Analytics of The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310058, China
| | - Huakang Tu
- Department of Big Data in Health Science School of Public Health, Center of Clinical Big Data and Analytics of The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310058, China
| | - Ting Sun
- Health Management Center, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou 310009, China
| | - Xifeng Wu
- Department of Big Data in Health Science School of Public Health, Center of Clinical Big Data and Analytics of The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310058, China
- National Institute for Data Science in Health and Medicine, Zhejiang University, Hangzhou, Zhejiang, China
- The Key Laboratory of Intelligent Preventive Medicine of Zhejiang Province, Hangzhou, Zhejiang, China
- Cancer Center, Zhejiang University, Hangzhou, Zhejiang, China
- School of Medicine and Health Science, George Washington University, Washington, DC, USA
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Wang M, Yang M, Liang S, Wang N, Wang Y, Sambou ML, Qin N, Zhu M, Wang C, Jiang Y, Dai J. Association between sleep traits and biological aging risk: a Mendelian randomization study based on 157 227 cases and 179 332 controls. Sleep 2024; 47:zsad299. [PMID: 37982786 DOI: 10.1093/sleep/zsad299] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2023] [Revised: 09/23/2023] [Indexed: 11/21/2023] Open
Abstract
STUDY OBJECTIVES To investigate whether sleep traits are associated with the risk of biological aging using a case-control design with Mendelian randomization (MR) analyses. METHODS We studied 336 559 participants in the UK Biobank cohort, including 157 227 cases of accelerated biological aging and 179 332 controls. PhenoAge, derived from clinical traits, estimated biological ages, and the discrepancies from chronological age were defined as age accelerations (PhenoAgeAccel). Sleep behaviors were assessed with a standardized questionnaire. propensity score matching matched control participants to age-accelerated participants, and a conditional multivariable logistic regression model estimated odds ratio (OR) and 95% confidence intervals (95% CI). Causal relationships between sleep traits and PhenoAgeAccel were explored using linear and nonlinear MR methods. RESULTS A U-shaped association was found between sleep duration and PhenoAgeAccel risk. Short sleepers had a 7% higher risk (OR = 1.07; 95% CI: 1.03 to 1.11), while long sleepers had an 18% higher risk (OR = 1.18; 95% CI: 1.15 to 1.22), compared to normal sleepers (6-8 hours/day). Evening chronotype was linked to higher PhenoAgeAccel risk than morning chronotype (OR = 1.14; 95% CI: 1.10 to 1.18), while no significant associations were found for insomnia or snoring. Morning chronotype had a protective effect on PhenoAgeAccel risk (OR = 0.87, 95% CI: 0.79 to 0.95) per linear MR analysis. Genetically predicted sleep duration showed a U-shaped relationship with PhenoAgeAccel, suggesting a nonlinear association (pnonlinear < 0.001). CONCLUSIONS The study suggests that improving sleep can slow biological aging, highlighting the importance of optimizing sleep as an intervention to mitigate aging's adverse effects.
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Affiliation(s)
- Mei Wang
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing 211166, China
| | - Meiqi Yang
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing 211166, China
| | - Shuang Liang
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing 211166, China
| | - Nanxi Wang
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing 211166, China
| | - Yifan Wang
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing 211166, China
| | - Muhammed Lamin Sambou
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing 211166, China
| | - Na Qin
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing 211166, China
- Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine and China International Cooperation Center for Environment and Human Health, Genomic Science and Precision Medicine Institute, Gusu School, Nanjing Medical University, Nanjing 211166, China
| | - Meng Zhu
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing 211166, China
- Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine and China International Cooperation Center for Environment and Human Health, Genomic Science and Precision Medicine Institute, Gusu School, Nanjing Medical University, Nanjing 211166, China
| | - Cheng Wang
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing 211166, China
- Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine and China International Cooperation Center for Environment and Human Health, Genomic Science and Precision Medicine Institute, Gusu School, Nanjing Medical University, Nanjing 211166, China
- Department of Bioinformatics, School of Biomedical Engineering and Informatics, Nanjing Medical University, Nanjing 211166, China
| | - Yue Jiang
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing 211166, China
- Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine and China International Cooperation Center for Environment and Human Health, Genomic Science and Precision Medicine Institute, Gusu School, Nanjing Medical University, Nanjing 211166, China
- Nanjing Yike Population Health Research Institute, Nanjing 211166, China
| | - Juncheng Dai
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing 211166, China
- Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine and China International Cooperation Center for Environment and Human Health, Genomic Science and Precision Medicine Institute, Gusu School, Nanjing Medical University, Nanjing 211166, China
- Nanjing Yike Population Health Research Institute, Nanjing 211166, China
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Wang C, Wang J, Wan R, Kurihara H, Wang M. The causal association between circulating cytokines with the risk of frailty and sarcopenia under the perspective of geroscience. Front Endocrinol (Lausanne) 2024; 15:1293146. [PMID: 38505750 PMCID: PMC10948489 DOI: 10.3389/fendo.2024.1293146] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/12/2023] [Accepted: 02/12/2024] [Indexed: 03/21/2024] Open
Abstract
Introduction Circulating cytokines were considered to play a critical role in the initiation and propagation of sarcopenia and frailty from observational studies. This study aimed to find the casual association between circulating cytokines and sarcopenia and frailty from a genetic perspective by two-sample Mendelian randomization (MR) analysis. Methods Data for 41 circulating cytokines were extracted from the genome-wide association study dataset of 8,293 European participants. Inverse-variance weighted (IVW) method, MR-Egger, and weighted median method were applied to assess the relationship of circulating cytokines with the risk of aging-related syndromes and frailty. Furthermore, MR-Egger regression was used to indicate the directional pleiotropy, and Cochran's Q test was used to verify the potential heterogeneity. The "leave-one-out" method was applied to visualize whether there was a causal relationship affected by only one anomalous single-nucleotide polymorphisms. Results Genetic predisposition to increasing levels of interleukin-10 (IL-10), IL-12, and vascular endothelial growth factor (VEGF) was associated with the higher risk of low hand grip strength according to the IVW method [R = 1.05, 95% CI = 1.01-1.10, P = 0.028, false discovery rate (FDR)-adjusted P = 1.000; OR = 1.03, 95% CI = 1.00-1.07, P = 0.042, FDR-adjusted P = 0.784; OR = 1.02, 95% CI = 1.00-1.05, P = 0.038, FDR-adjusted P = 0.567]. Furthermore, genetically determined higher macrophage colony-stimulating factors (M-CSFs) were associated with a lower presence of appendicular lean mass (OR = 1.01, 95% CI = 1.00-1.02, P = 0.003, FDR-adjusted P = 0.103). Monokine induced by interferon-γ (MIG) and tumor necrosis factor-beta (TNF-β) were associated with a higher risk of frailty (OR = 1.03, 95% CI = 1.01-1.05, P < 0.0001, FDR-adjusted P = 0.012; OR = 1.01, 95% CI = 1.00-1.03, P = 0.013, FDR-adjusted P = 0.259). In this study, we did not find heterogeneity and horizontal pleiotropy between the circulating cytokines and the risk of frailty and sarcopenia. Conclusion Genetic predisposition to assess IL-10, IL-12, and VEGF levels was associated with a higher risk of low hand grip strength and M-CSF with the presence of appendicular lean mass. The high levels of TNF-β and MIG were associated with a higher risk of frailty. More studies will be required to explore the molecular biological mechanisms underlying the action of inflammatory factors.
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Affiliation(s)
- Congzhi Wang
- Department of Internal Medicine Nursing, School of Nursing, Wannan Medical College, Wuhu, Anhui, China
| | - Jiazhi Wang
- Sports Institute, Chi Zhou College, Chizhou, Anhui, China
| | - Rui Wan
- Business School, Yunnan University of Finance and Economics, Kunming, Yunnan, China
| | - Hiroshi Kurihara
- Guangdong Engineering Research Center of Chinese Medicine and Disease Susceptibility/International Cooperative Laboratory of Traditional Chinese Medicine (TCM), Modernization, and Innovative Drug Development of Chinese Ministry of Education (MOE)/Guangdong Province Key Laboratory of Pharmacodynamic Constituents of Traditional Chinese Medicine (TCM) and New Drugs Research, Jinan University, Guangzhou, China
| | - Min Wang
- Department of Pharmacy, Hainan General Hospital (Hainan Affiliated Hospital of Hainan Medical University), Haikou, Hainan, China
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Sala C, Di Lena P, Fernandes Durso D, Faria do Valle I, Bacalini MG, Dall’Olio D, Franceschi C, Castellani G, Garagnani P, Nardini C. Where are we in the implementation of tissue-specific epigenetic clocks? FRONTIERS IN BIOINFORMATICS 2024; 4:1306244. [PMID: 38501111 PMCID: PMC10944965 DOI: 10.3389/fbinf.2024.1306244] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2023] [Accepted: 02/14/2024] [Indexed: 03/20/2024] Open
Abstract
Introduction: DNA methylation clocks presents advantageous characteristics with respect to the ambitious goal of identifying very early markers of disease, based on the concept that accelerated ageing is a reliable predictor in this sense. Methods: Such tools, being epigenomic based, are expected to be conditioned by sex and tissue specificities, and this work is about quantifying this dependency as well as that from the regression model and the size of the training set. Results: Our quantitative results indicate that elastic-net penalization is the best performing strategy, and better so when-unsurprisingly-the data set is bigger; sex does not appear to condition clocks performances and tissue specific clocks appear to perform better than generic blood clocks. Finally, when considering all trained clocks, we identified a subset of genes that, to the best of our knowledge, have not been presented yet and might deserve further investigation: CPT1A, MMP15, SHROOM3, SLIT3, and SYNGR. Conclusion: These factual starting points can be useful for the future medical translation of clocks and in particular in the debate between multi-tissue clocks, generally trained on a large majority of blood samples, and tissue-specific clocks.
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Affiliation(s)
- Claudia Sala
- Department of Medical and Surgical Sciences, University of Bologna, Bologna, Italy
| | - Pietro Di Lena
- Department of Computer Science and Engineering, University of Bologna, Bologna, Italy
| | - Danielle Fernandes Durso
- National Counsel of Technological and Scientific Development (CNPq), Ministry of Science Technology and Innovation (MCTI), Brasília, Brazil
| | | | | | - Daniele Dall’Olio
- IRCCS Istituto delle Scienze Neurologiche di Bologna, Bologna, Italy
| | - Claudio Franceschi
- Institute of Information Technologies, Mathematics and Mechanics, Lobachevsky University, Nizhny Novgorod, Russia
| | - Gastone Castellani
- Department of Medical and Surgical Sciences, University of Bologna, Bologna, Italy
| | - Paolo Garagnani
- Department of Medical and Surgical Sciences, University of Bologna, Bologna, Italy
| | - Christine Nardini
- Istituto per le Applicazioni del Calcolo “Mauro Picone”, Consiglio Nazionale delle Ricerche, Roma, Italy
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Mirhosseini N, Shoorgashti R, Lesan S. The evaluation of clinical factors affecting oral health impacts on the quality of life of Iranian elderly patients visiting dental clinics: A cross-sectional study. SPECIAL CARE IN DENTISTRY 2024. [PMID: 38430466 DOI: 10.1111/scd.12980] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2023] [Revised: 02/07/2024] [Accepted: 02/09/2024] [Indexed: 03/03/2024]
Abstract
BACKGROUND Iran will soon have an aging population. Healthcare providers must consider factors affecting the quality of life for those 60 and older. Understanding oral health as one of these factors can improve the elderly's quality of life. Oral health-related quality of life (OHRQoL) is a crucial reflection of individuals' general well-being and their overall quality of life linked to health. This study aimed to evaluate the OHRQoL among elderly Iranians referring to Azad University of Medical Sciences in Tehran. METHODS In this cross-sectional study, 171 individuals over 65 (93 men and 78 women) were evaluated using OHIP-14 and GOHAI-12 questionnaires to analyze their quality of life. Gender, age, systemic diseases, using medications and dentures, the number of remaining teeth, and oral lesions were recorded. Salivary flow and xerostomia were analyzed with the spitting method and xerostomia index questionnaire, respectively. Also, four main flavor solutions were used to evaluate the taste perception. Data were analyzed using PASS11 and p value < .05 was the significance level. RESULTS Based on OHIP-14 and GOHAI-12, Iranian older people's quality of life can be affected by cardiovascular diseases, hypertension, xerostomia, and the number of remaining teeth (p < .05). The results also showed a significant correlation between the OHIP-14 and GOHAI-12 scores (p < .001). Both indexes revealed that the number of remaining teeth, xerostomia, salivary flow, and taste perception greatly influenced participants' quality of life. More remaining teeth, improved salivary flow, and better perception of sweetness and sourness were all linked to a higher quality of life, while increased xerostomia, reduced salivary flow, and bitter taste perception were linked to a decline in overall well-being. Cardiovascular diseases, hypertension, and medication use were also found to significantly impact quality of life. CONCLUSION This study's results indicate that cardiovascular diseases, hypertension, dry mouth, and tooth loss can negatively impact the elderly's quality of life. So, improving both systemic and oral health is vital for enhancing life quality in this age group.
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Affiliation(s)
- Nazanin Mirhosseini
- Department of Oral and Maxillofacial Medicine, School of Dentistry, Islamic Azad University of Medical Sciences, Tehran, Islamic Republic of Iran
| | - Reyhaneh Shoorgashti
- Department of Oral and Maxillofacial Medicine, School of Dentistry, Islamic Azad University of Medical Sciences, Tehran, Islamic Republic of Iran
| | - Simin Lesan
- Department of Oral and Maxillofacial Medicine, School of Dentistry, Islamic Azad University of Medical Sciences, Tehran, Islamic Republic of Iran
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Regmi P, Young M, Minigo G, Milic N, Gyawali P. Photoperiod and metabolic health: evidence, mechanism, and implications. Metabolism 2024; 152:155770. [PMID: 38160935 DOI: 10.1016/j.metabol.2023.155770] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/06/2023] [Revised: 12/23/2023] [Accepted: 12/25/2023] [Indexed: 01/03/2024]
Abstract
Circadian rhythms are evolutionarily programmed biological rhythms that are primarily entrained by the light cycle. Disruption of circadian rhythms is an important risk factor for several metabolic disorders. Photoperiod is defined as total duration of light exposure in a day. With the extended use of indoor/outdoor light, smartphones, television, computers, and social jetlag people are exposed to excessive artificial light at night increasing their photoperiod. Importantly long photoperiod is not limited to any geographical region, season, age, or socioeconomic group, it is pervasive. Long photoperiod is an established disrupter of the circadian rhythm and can induce a range of chronic health conditions including adiposity, altered hormonal signaling and metabolism, premature ageing, and poor psychological health. This review discusses the impact of exposure to long photoperiod on circadian rhythms, metabolic and mental health, hormonal signaling, and ageing and provides a perspective on possible preventive and therapeutic approaches for this pervasive challenge.
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Affiliation(s)
- Prashant Regmi
- Faculty of Health, Charles Darwin University, Australia.
| | - Morag Young
- Cardiovascular Endocrinology Laboratory, Baker IDI Heart and Diabetes Institute, Australia
| | | | - Natalie Milic
- Faculty of Health, Charles Darwin University, Australia
| | - Prajwal Gyawali
- Centre of Health Research and School of Health and Medical Sciences, University of Southern Queensland, Australia
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Nopour R, Kazemi-Arpanahi H. Developing an intelligent prediction system for successful aging based on artificial neural networks. Int J Prev Med 2024; 15:10. [PMID: 38563039 PMCID: PMC10982733 DOI: 10.4103/ijpvm.ijpvm_47_23] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2023] [Accepted: 10/04/2023] [Indexed: 04/04/2024] Open
Abstract
Background Due to the growing number of disabilities in elderly, Attention to this period of life is essential to be considered. Few studies focused on the physical, mental, disabilities, and disorders affecting the quality of life in elderly people. SA1 is related to various factors influencing the elderly's life. So, the objective of the current study is to build an intelligent system for SA prediction through ANN2 algorithms to investigate better all factors affecting the elderly life and promote them. Methods This study was performed on 1156 SA and non-SA cases. We applied statistical feature reduction method to obtain the best factors predicting the SA. Two models of ANNs with 5, 10, 15, and 20 neurons in hidden layers were used for model construction. Finally, the best ANN configuration was obtained for predicting the SA using sensitivity, specificity, accuracy, and cross-entropy loss function. Results The study showed that 25 factors correlated with SA at the statistical level of P < 0.05. Assessing all ANN structures resulted in FF-BP3 algorithm having the configuration of 25-15-1 with accuracy-train of 0.92, accuracy-test of 0.86, and accuracy-validation of 0.87 gaining the best performance over other ANN algorithms. Conclusions Developing the CDSS for predicting SA has crucial role to effectively inform geriatrics and health care policymakers decision making.
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Affiliation(s)
- Raoof Nopour
- Department of Health Information Management, Iran University of Medical Sciences, Tehran, Iran
| | - Hadi Kazemi-Arpanahi
- Department of Health Information Technology, Abadan University of Medical Sciences, Abadan, Iran
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Chen H, Hinz K, Zhang C, Rodriguez Y, Williams SN, Niu M, Ma X, Chao X, Frazier AL, McCarson KE, Wang X, Peng Z, Liu W, Ni HM, Zhang J, Swerdlow RH, Ding WX. Late-Life Alcohol Exposure Does Not Exacerbate Age-Dependent Reductions in Mouse Spatial Memory and Brain TFEB Activity. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.02.23.581774. [PMID: 38464149 PMCID: PMC10925107 DOI: 10.1101/2024.02.23.581774] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/12/2024]
Abstract
Alcohol consumption is believed to affect Alzheimer's disease (AD) risk, but the contributing mechanisms are not well understood. A potential mediator of the proposed alcohol-AD connection is autophagy, a degradation pathway that maintains organelle and protein homeostasis. Autophagy is in turn regulated through the activity of Transcription factor EB (TFEB), which promotes lysosome and autophagy-related gene expression. To explore the effect of alcohol on brain TFEB and autophagy, we exposed young (3-month old) and aged (23-month old) mice to two alcohol-feeding paradigms and assessed biochemical, transcriptome, histology, and behavioral endpoints. In young mice, alcohol decreased hippocampal nuclear TFEB staining but increased SQSTM1/p62, LC3-II, ubiquitinated proteins, and phosphorylated Tau. Hippocampal TFEB activity was lower in aged mice than it was in young mice, and Gao-binge alcohol feeding did not worsen the age-related reduction in TFEB activity. To better assess the impact of chronic alcohol exposure, we fed young and aged mice alcohol for four weeks before completing Morris Water and Barnes Maze spatial memory testing. The aged mice showed worse spatial memory on both tests. While alcohol feeding slightly impaired spatial memory in the young mice, it had little effect or even slightly improved spatial memory in the aged mice. These findings suggest that aging is a far more important driver of spatial memory impairment and reduced autophagy flux than alcohol consumption.
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Campanari DD, Cipriano UG, Fraga-Silva TFDC, Ramalho LNZ, Ovidio PP, Jordão Júnior AA, Bonato VLD, Ferriolli E. Effect of Dietary Supplementation with Omega-3 Fatty Acid on the Generation of Regulatory T Lymphocytes and on Antioxidant Parameters and Markers of Oxidative Stress in the Liver Tissue of IL-10 Knockout Mice. Nutrients 2024; 16:634. [PMID: 38474762 DOI: 10.3390/nu16050634] [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: 12/15/2023] [Revised: 02/05/2024] [Accepted: 02/17/2024] [Indexed: 03/14/2024] Open
Abstract
INTRODUCTION chronic low-grade inflammation, or inflammaging, emerges as a crucial element in the aging process and is associated with cardiovascular and neurological diseases, sarcopenia, and malnutrition. Evidence suggests that omega-3 fatty acids present a potential therapeutic agent in the prevention and treatment of inflammatory diseases, mitigating oxidative stress, and improving muscle mass, attributes that are particularly relevant in the context of aging. The objective of the present study was to evaluate the effectiveness of supplementation with omega-3 fish oil in improving the immune response and oxidative stress in knockout mice for interleukin IL-10 (IL-10-/-). MATERIAL AND METHODS female C57BL/6 wild-type (WT) and interleukin IL-10 knockout (IL-10-/-) mice were fed during 90 days with a standard diet (control groups), or they were fed/supplemented with 10% of the omega-3 polyunsaturated fatty acid diet (omega-3 groups). Muscle, liver, intestinal, and mesenteric lymph node tissue were collected for analysis. RESULTS the IL-10-/-+O3 group showed greater weight gain compared to the WT+O3 (p = 0.001) group. The IL-10-/-+O3 group exhibited a higher frequency of regulatory T cells than the IL-10-/- group (p = 0.001). It was found that animals in the IL-10-/-+O3 group had lower levels of steatosis when compared to the IL-10-/- group (p = 0.017). There was even greater vitamin E activity in the WT group compared to the IL-10-/-+O3 group (p = 0.001) and WT+O3 compared to IL-10-/-+O3 (p = 0.002), and when analyzing the marker of oxidative stress, MDA, an increase in lipid peroxidation was found in the IL-10-/-+O3 group when compared to the IL-10-/- group (p = 0.03). Muscle tissue histology showed decreased muscle fibers in the IL-10-/-+O3, IL-10-/-, and WT+O3 groups. CONCLUSION the findings show a decrease in inflammation, an increase in oxidative stress markers, and a decrease in antioxidant markers in the IL-10-/-+O3 group, suggesting that supplementation with omega-3 fish oil might be a potential intervention for inflammaging that characterizes the aging process and age-related diseases.
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Affiliation(s)
- Daniela Dalpubel Campanari
- Postgraduate Program in Clinical Medicine, Ribeirao Preto Medical School, University of Sao Paulo, Ribeirao Preto 14049-900, Sao Paulo, Brazil
| | - Ualter Guilherme Cipriano
- Basic and Applied Immunology Program, Ribeirao Preto Medical School, University of Sao Paulo, Ribeirao Preto 14049-900, Sao Paulo, Brazil
| | - Thais Fernanda de Campos Fraga-Silva
- Department of Biochemistry and Immunology, Ribeirao Preto Medical School, University of Sao Paulo, Ribeirao Preto 14049-900, Sao Paulo, Brazil
- Institute of Biological Sciences and Health, Federal University of Alagoas, Maceio 57072-900, Alagoas, Brazil
| | - Leandra Náira Zambelli Ramalho
- Department of Pathology and Legal Medicine, Ribeirao Preto Medical School, University of Sao Paulo, Ribeirao Preto 14049-900, Sao Paulo, Brazil
| | - Paula Payão Ovidio
- Department of Health Sciences, Ribeirao Preto Medical School, University of Sao Paulo, Ribeirao Preto 14049-900, Sao Paulo, Brazil
| | - Alceu Afonso Jordão Júnior
- Department of Health Sciences, Ribeirao Preto Medical School, University of Sao Paulo, Ribeirao Preto 14049-900, Sao Paulo, Brazil
| | - Vânia Luiza Deperon Bonato
- Basic and Applied Immunology Program, Ribeirao Preto Medical School, University of Sao Paulo, Ribeirao Preto 14049-900, Sao Paulo, Brazil
- Department of Biochemistry and Immunology, Ribeirao Preto Medical School, University of Sao Paulo, Ribeirao Preto 14049-900, Sao Paulo, Brazil
| | - Eduardo Ferriolli
- Department of Internal Medicine, Ribeirao Preto Medical School, University of Sao Paulo, Ribeirao Preto 14049-900, Sao Paulo, Brazil
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Zhao J, Wang Y, Xiao B, Ye F, Chen J, Huang Y, Li T, Chen X, Ma H, Zhang Q, Zou Z. Behaviors and influencing factors of Chinese oncology nurses towards hospice care: a cross-sectional study based on social cognitive theory in 2022. BMC Palliat Care 2024; 23:53. [PMID: 38395799 PMCID: PMC10885468 DOI: 10.1186/s12904-024-01385-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2023] [Accepted: 02/15/2024] [Indexed: 02/25/2024] Open
Abstract
BACKGROUND Although there is growing demand for hospice care in China due to its aging population and increasing cancer rates, the sector remains slow to expand. Oncology nurses are the primary providers of hospice care, but little is known about their behaviors towards hospice care and related factors. METHODS This cross-sectional study conveniently sampled 933 oncology nurses from six grade A tertiary hospitals in Hubei Province between January to March 2022. The questionnaire was composed of seven parts: general information (including sociodemographic and work-related information), hospice care behaviors, hospice care knowledge, hospice care attitudes, hospice care self-efficacy, hospice care outcome expectancy, and hospice care environment. Data were analyzed using descriptive analysis, independent sample t-tests, one-way ANOVA, Pearson's correlation, multiple linear regression, random forest regression, and BP neural network model analysis. RESULTS A total of 852 questionnaires were valid. The mean score of hospice care behaviors was 50.47 ± 10.56, with a mean item score of 3.61 ± 0.75. The three highest scoring behaviors were "pain assessment of patients (4.21 ± 0.91)", "satisfying the physical and mental needs of dying patients (4.04 ± 0.92)", and "creating good relationships between the medical staff and family members (4.02 ± 0.87)". The two lowest-scoring behaviors were "proactively recommending medical institutions for hospice care to terminally ill patients and their families (2.55 ± 1.10)" and "proactively talking to patients and families about death-related topics for patients who are critically ill and cannot be reversed (2.87 ± 1.03)." Multiple linear regression, random forest regression, and BP neural network models all showed that the frequency of sharing hospice care experiences with colleagues, hospice care attitudes, hospice care self-efficacy, and hospice care environments were positively associated with hospice care behaviors. CONCLUSIONS The frequency of hospice care behaviors among Chinese oncology nurses is generally at a moderate to high level. The results provide a basis for promoting hospice care behaviors among oncology nurses in order to improve the quality of life for terminally ill cancer patients.
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Affiliation(s)
- Jing Zhao
- School of Nursing, Wuhan University, Located on No. 115 Donghu Road, Wuhan, Hubei province, 430071, China
| | - Yu Wang
- School of Nursing, Wuhan University, Located on No. 115 Donghu Road, Wuhan, Hubei province, 430071, China
| | - Binbin Xiao
- Renmin Hospital of Wuhan University, No.238 Jiefang Road, WuChang Distirct, Wuhan, Hubei Province, 430060, China
| | - Fucheng Ye
- Wuhan University of Technology, Wuhan, China
| | - Jianfei Chen
- School of Nursing, Wuhan University, Located on No. 115 Donghu Road, Wuhan, Hubei province, 430071, China
| | - Yingjuan Huang
- School of Nursing, Wuhan University, Located on No. 115 Donghu Road, Wuhan, Hubei province, 430071, China
| | - Ting Li
- Hubei Cancer Hospital, Wuhan, China
| | - Xiaoli Chen
- School of Nursing, Wuhan University, Located on No. 115 Donghu Road, Wuhan, Hubei province, 430071, China
| | - Hongmei Ma
- Renmin Hospital of Wuhan University, No.238 Jiefang Road, WuChang Distirct, Wuhan, Hubei Province, 430060, China.
| | - Qing Zhang
- School of Nursing, Wuhan University, Located on No. 115 Donghu Road, Wuhan, Hubei province, 430071, China.
| | - Zhijie Zou
- School of Nursing, Wuhan University, Located on No. 115 Donghu Road, Wuhan, Hubei province, 430071, China.
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Li L, Liu Z, Hu H, Cai R, Bi J, Wang Q, Zhou X, Luo H, Zhang C, Wan R. Dendrobium Nobile Alcohol Extract Extends the Lifespan of Caenorhabditis elegans via hsf-1 and daf-16. Molecules 2024; 29:908. [PMID: 38398658 PMCID: PMC10891841 DOI: 10.3390/molecules29040908] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2023] [Revised: 02/01/2024] [Accepted: 02/16/2024] [Indexed: 02/25/2024] Open
Abstract
Dendrobium nobile is a traditional Chinese herb with anti-inflammatory, antioxidant, and neuroprotective properties. However, its antiaging effects are unclear. Herein, we studied the aging-related functions and the mechanism of action of the alcohol extract of Dendrobium nobile (DnAE) in the model organism Caenorhabditis elegans. The results indicated that 1 mg/mL DnAE slowed lipofuscin accumulation, decreased the levels of reactive oxygen species, elevated superoxide dismutase activity, enhanced oxidative and heat stress resistance, extended the lifespan of nematodes, protected their dopamine neurons from 6-hydroxydopamine-induced neurodegeneration, and reduced Aβ-induced neurotoxicity. DnAE upregulated the mRNA expression of the transcription factors DAF-16 and HSF-1, promoted the nuclear localization of DAF-16, and enhanced the fluorescence intensity of HSP-16.2. However, it had no effect on the lifespan of DAF-16 mutants. Thus, DnAE can significantly extend lifespan, enhance heat stress tolerance, and delay age-related diseases through a DAF-16-dependent pathway.
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Affiliation(s)
- Linfeng Li
- Department of Oncology, The Affiliated Hospital of Southwest Medical University, Luzhou 646000, China
- School of Pharmacy, Southwest Medical University, Luzhou 646000, China
- Key Laboratory of Luzhou City for Aging Medicine, Department of Pharmacology, School of Pharmacy, Southwest Medical University, Luzhou 646000, China
| | - Zhen Liu
- School of Pharmacy, Southwest Medical University, Luzhou 646000, China
- Key Laboratory of Luzhou City for Aging Medicine, Department of Pharmacology, School of Pharmacy, Southwest Medical University, Luzhou 646000, China
| | - Huiling Hu
- School of Pharmacy, Southwest Medical University, Luzhou 646000, China
- Key Laboratory of Luzhou City for Aging Medicine, Department of Pharmacology, School of Pharmacy, Southwest Medical University, Luzhou 646000, China
| | - Renming Cai
- School of Pharmacy, Southwest Medical University, Luzhou 646000, China
- Key Laboratory of Luzhou City for Aging Medicine, Department of Pharmacology, School of Pharmacy, Southwest Medical University, Luzhou 646000, China
| | - Jingdou Bi
- Key Laboratory of Bio-Resource and Eco-Environment of Ministry of Education, College of Life Sciences, Sichuan University, Chengdu 610065, China
| | - Qin Wang
- School of Pharmacy, Southwest Medical University, Luzhou 646000, China
- Dazhou Vocational College of Chinese Medicine, Dazhou 635000, China
| | - Xiaogang Zhou
- School of Pharmacy, Southwest Medical University, Luzhou 646000, China
| | - Huairong Luo
- Key Laboratory of Luzhou City for Aging Medicine, Department of Pharmacology, School of Pharmacy, Southwest Medical University, Luzhou 646000, China
| | - Chun Zhang
- School of Pharmacy, Southwest Medical University, Luzhou 646000, China
- Key Laboratory of Luzhou City for Aging Medicine, Department of Pharmacology, School of Pharmacy, Southwest Medical University, Luzhou 646000, China
| | - Runlan Wan
- Department of Oncology, The Affiliated Hospital of Southwest Medical University, Luzhou 646000, China
- Key Laboratory of Luzhou City for Aging Medicine, Department of Pharmacology, School of Pharmacy, Southwest Medical University, Luzhou 646000, China
- Ministry of Education & Medical Electrophysiological Key Laboratory of Sichuan Province, Institute of Cardiovascular Research, Southwest Medical University, Luzhou 646000, China
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Dalecka A, Bartoskova Polcrova A, Pikhart H, Bobak M, Ksinan AJ. Living in poverty and accelerated biological aging: evidence from population-representative sample of U.S. adults. BMC Public Health 2024; 24:458. [PMID: 38350911 PMCID: PMC10865704 DOI: 10.1186/s12889-024-17960-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2023] [Accepted: 02/01/2024] [Indexed: 02/15/2024] Open
Abstract
BACKGROUND Biological aging reflects a decline in the functions and integrity of the human body that is closely related to chronological aging. A variety of biomarkers have been found to predict biological age. Biological age higher than chronological age (biological age acceleration) indicates an accelerated state of biological aging and a higher risk of premature morbidity and mortality. This study investigated how socioeconomic disadvantages influence biological aging. METHODS The data from the National Health and Nutrition Examination Survey (NHANES) IV, including 10 nationally representative cross-sectional surveys between 1999-2018, were utilized. The analytic sample consisted of N = 48,348 individuals (20-84 years). We used a total of 11 biomarkers for estimating the biological age. Our main outcome was biological age acceleration, indexed by PhenoAge acceleration (PAA) and Klemera-Doubal biological age acceleration (KDM-A). Poverty was measured as a ratio of family income to the poverty thresholds defined by the U.S. Census Bureau, adjusted annually for inflation and family size (5 categories). The PAA and KDM-A were regressed on poverty levels, age, their interaction, education, sex, race, and a data collection wave. Sample weights were used to make the estimates representative of the U.S. adult population. RESULTS The results showed that higher poverty was associated with accelerated biological aging (PAA: unstandardized coefficient B = 1.38 p <.001, KDM: B = 0.96, p = .026 when comparing the highest and the lowest poverty level categories), above and beyond other covariates. The association between PAA and KDM-A and age was U-shaped. Importantly, there was an interaction between poverty levels and age (p <.001), as the effect of poverty was most pronounced in middle-aged categories while it was modest in younger and elderly groups. CONCLUSION In a nationally representative US adult population, we found that higher poverty was positively associated with the acceleration of biological age, particularly among middle-aged persons.
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Affiliation(s)
- Andrea Dalecka
- RECETOX, Faculty of Science, Masaryk University, Kotlarska 2, Brno, Czech Republic
| | | | - Hynek Pikhart
- RECETOX, Faculty of Science, Masaryk University, Kotlarska 2, Brno, Czech Republic
- Department of Epidemiology and Public Health, University College London, London, United Kingdom
| | - Martin Bobak
- RECETOX, Faculty of Science, Masaryk University, Kotlarska 2, Brno, Czech Republic
- Department of Epidemiology and Public Health, University College London, London, United Kingdom
| | - Albert J Ksinan
- RECETOX, Faculty of Science, Masaryk University, Kotlarska 2, Brno, Czech Republic.
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Ungvari Z, Tabák AG, Adany R, Purebl G, Kaposvári C, Fazekas-Pongor V, Csípő T, Szarvas Z, Horváth K, Mukli P, Balog P, Bodizs R, Ujma P, Stauder A, Belsky DW, Kovács I, Yabluchanskiy A, Maier AB, Moizs M, Östlin P, Yon Y, Varga P, Vokó Z, Papp M, Takács I, Vásárhelyi B, Torzsa P, Ferdinandy P, Csiszar A, Benyó Z, Szabó AJ, Dörnyei G, Kivimäki M, Kellermayer M, Merkely B. The Semmelweis Study: a longitudinal occupational cohort study within the framework of the Semmelweis Caring University Model Program for supporting healthy aging. GeroScience 2024; 46:191-218. [PMID: 38060158 PMCID: PMC10828351 DOI: 10.1007/s11357-023-01018-7] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2023] [Accepted: 11/11/2023] [Indexed: 12/08/2023] Open
Abstract
The Semmelweis Study is a prospective occupational cohort study that seeks to enroll all employees of Semmelweis University (Budapest, Hungary) aged 25 years and older, with a population of 8866 people, 70.5% of whom are women. The study builds on the successful experiences of the Whitehall II study and aims to investigate the complex relationships between lifestyle, environmental, and occupational risk factors, and the development and progression of chronic age-associated diseases. An important goal of the Semmelweis Study is to identify groups of people who are aging unsuccessfully and therefore have an increased risk of developing age-associated diseases. To achieve this, the study takes a multidisciplinary approach, collecting economic, social, psychological, cognitive, health, and biological data. The Semmelweis Study comprises a baseline data collection with open healthcare data linkage, followed by repeated data collection waves every 5 years. Data are collected through computer-assisted self-completed questionnaires, followed by a physical health examination, physiological measurements, and the assessment of biomarkers. This article provides a comprehensive overview of the Semmelweis Study, including its origin, context, objectives, design, relevance, and expected contributions.
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Affiliation(s)
- Zoltan Ungvari
- International Training Program in Geroscience/Healthy Aging Program, Doctoral School of Basic and Translational Medicine/Department of Public Health, Semmelweis University, Budapest, Hungary.
- Vascular Cognitive Impairment, Neurodegeneration and Healthy Brain Aging Program, Department of Neurosurgery, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA.
- Department of Health Promotion Sciences, The Hudson College of Public Health, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA.
| | - Adam G Tabák
- International Training Program in Geroscience/Healthy Aging Program, Doctoral School of Basic and Translational Medicine/Department of Public Health, Semmelweis University, Budapest, Hungary
- Department of Public Health, Faculty of Medicine, Semmelweis University, Budapest, Hungary
- UCL Brain Sciences, University College London, London, UK
- Department of Internal Medicine and Oncology, Semmelweis University, Faculty of Medicine, Budapest, Hungary
| | - Roza Adany
- International Training Program in Geroscience/Healthy Aging Program, Doctoral School of Basic and Translational Medicine/Department of Public Health, Semmelweis University, Budapest, Hungary
- Department of Public Health, Faculty of Medicine, Semmelweis University, Budapest, Hungary
- HUN-REN-UD Public Health Research Group, Department of Public Health and Epidemiology, Faculty of Medicine, University of Debrecen, Debrecen, Hungary
| | - György Purebl
- Institute of Behavioral Sciences, Faculty of Medicine, Semmelweis University, Budapest, Hungary
| | - Csilla Kaposvári
- Department of Public Health, Faculty of Medicine, Semmelweis University, Budapest, Hungary
| | - Vince Fazekas-Pongor
- Department of Public Health, Faculty of Medicine, Semmelweis University, Budapest, Hungary
| | - Tamás Csípő
- International Training Program in Geroscience/Healthy Aging Program, Doctoral School of Basic and Translational Medicine/Department of Public Health, Semmelweis University, Budapest, Hungary
- Department of Public Health, Faculty of Medicine, Semmelweis University, Budapest, Hungary
| | - Zsófia Szarvas
- International Training Program in Geroscience/Healthy Aging Program, Doctoral School of Basic and Translational Medicine/Department of Public Health, Semmelweis University, Budapest, Hungary
- Vascular Cognitive Impairment, Neurodegeneration and Healthy Brain Aging Program, Department of Neurosurgery, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
- Department of Health Promotion Sciences, The Hudson College of Public Health, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
- Department of Public Health, Faculty of Medicine, Semmelweis University, Budapest, Hungary
| | - Krisztián Horváth
- Department of Public Health, Faculty of Medicine, Semmelweis University, Budapest, Hungary
| | - Peter Mukli
- International Training Program in Geroscience/Healthy Aging Program, Doctoral School of Basic and Translational Medicine/Department of Public Health, Semmelweis University, Budapest, Hungary
- Vascular Cognitive Impairment, Neurodegeneration and Healthy Brain Aging Program, Department of Neurosurgery, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
- Department of Public Health, Faculty of Medicine, Semmelweis University, Budapest, Hungary
| | - Piroska Balog
- Institute of Behavioral Sciences, Faculty of Medicine, Semmelweis University, Budapest, Hungary
| | - Robert Bodizs
- Institute of Behavioral Sciences, Faculty of Medicine, Semmelweis University, Budapest, Hungary
| | - Peter Ujma
- Institute of Behavioral Sciences, Faculty of Medicine, Semmelweis University, Budapest, Hungary
| | - Adrienne Stauder
- Institute of Behavioral Sciences, Faculty of Medicine, Semmelweis University, Budapest, Hungary
| | - Daniel W Belsky
- Robert N. Butler Columbia Aging Center, Columbia University, New York, NY, USA
- Department of Epidemiology, Columbia University Mailman School of Public Health, New York, NY, USA
| | - Illés Kovács
- Department of Ophthalmology, Faculty of Medicine, Semmelweis University, Budapest, Hungary
- Department of Ophthalmology, Weill Cornell Medical College, New York City, NY, USA
- Department of Clinical Ophthalmology, Faculty of Health Sciences, Semmelweis University, Budapest, Hungary
| | - Andriy Yabluchanskiy
- Vascular Cognitive Impairment, Neurodegeneration and Healthy Brain Aging Program, Department of Neurosurgery, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
- Department of Health Promotion Sciences, The Hudson College of Public Health, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
| | - Andrea B Maier
- Healthy Longevity Translational Research Program, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Centre for Healthy Longevity, National University Health System, Singapore, Singapore
- Department of Human Movement Sciences, @AgeAmsterdam, Vrije Universiteit, Amsterdam Movement Sciences, Amsterdam, The Netherlands
| | - Mariann Moizs
- Department of Public Health, Faculty of Medicine, Semmelweis University, Budapest, Hungary
- Ministry of Interior of Hungary, Budapest, Hungary
| | | | - Yongjie Yon
- WHO Regional Office for Europe, Copenhagen, Denmark
| | - Péter Varga
- Department of Public Health, Faculty of Medicine, Semmelweis University, Budapest, Hungary
- Clinical Center, Semmelweis University, Budapest, Hungary
| | - Zoltán Vokó
- Center for Health Technology Assessment, Semmelweis University, Budapest, Hungary
| | - Magor Papp
- Department of Public Health, Faculty of Medicine, Semmelweis University, Budapest, Hungary
| | - István Takács
- UCL Brain Sciences, University College London, London, UK
| | - Barna Vásárhelyi
- Department of Laboratory Medicine, Faculty of Medicine, Semmelweis University, Budapest, Hungary
| | - Péter Torzsa
- Department of Family Medicine, Faculty of Medicine, Semmelweis University, Budapest, Hungary
| | - Péter Ferdinandy
- Department of Pharmacology and Pharmacotherapy, Faculty of Medicine, Semmelweis University, Budapest, Hungary
| | - Anna Csiszar
- Vascular Cognitive Impairment, Neurodegeneration and Healthy Brain Aging Program, Department of Neurosurgery, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
- Department of Health Promotion Sciences, The Hudson College of Public Health, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
| | - Zoltán Benyó
- Department of Translational Medicine, Faculty of Medicine, Semmelweis University, Budapest, Hungary
- HUN-REN-SU Cerebrovascular and Neurocognitive Diseases Research Group, Budapest, Hungary
| | - Attila J Szabó
- First Department of Pediatrics, Faculty of Medicine, Semmelweis University, Budapest, Hungary
- HUN-REN-SU Pediatrics and Nephrology Research Group, Semmelweis University, Budapest, Hungary
| | - Gabriella Dörnyei
- Department of Morphology and Physiology, Faculty of Health Sciences, Semmelweis University, Budapest, Hungary
| | - Mika Kivimäki
- UCL Brain Sciences, University College London, London, UK
| | - Miklos Kellermayer
- Department of Biophysics and Radiation Biology, Faculty of Medicine, Semmelweis University, Budapest, Hungary
| | - Bela Merkely
- Heart and Vascular Center, Semmelweis University, Budapest, Hungary
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Horvath S, Singh K, Raj K, Khairnar SI, Sanghavi A, Shrivastava A, Zoller JA, Li CZ, Herenu CB, Canatelli-Mallat M, Lehmann M, Habazin S, Novokmet M, Vučković F, Solberg Woods LC, Martinez AG, Wang T, Chiavellini P, Levine AJ, Chen H, Brooke RT, Gordevicius J, Lauc G, Goya RG, Katcher HL. Reversal of biological age in multiple rat organs by young porcine plasma fraction. GeroScience 2024; 46:367-394. [PMID: 37875652 PMCID: PMC10828479 DOI: 10.1007/s11357-023-00980-6] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2023] [Accepted: 10/09/2023] [Indexed: 10/26/2023] Open
Abstract
Young blood plasma is known to confer beneficial effects on various organs in mice and rats. However, it was not known whether plasma from young adult pigs rejuvenates old rat tissues at the epigenetic level; whether it alters the epigenetic clock, which is a highly accurate molecular biomarker of aging. To address this question, we developed and validated six different epigenetic clocks for rat tissues that are based on DNA methylation values derived from n = 613 tissue samples. As indicated by their respective names, the rat pan-tissue clock can be applied to DNA methylation profiles from all rat tissues, while the rat brain, liver, and blood clocks apply to the corresponding tissue types. We also developed two epigenetic clocks that apply to both human and rat tissues by adding n = 1366 human tissue samples to the training data. We employed these six rat clocks to investigate the rejuvenation effects of a porcine plasma fraction treatment in different rat tissues. The treatment more than halved the epigenetic ages of blood, heart, and liver tissue. A less pronounced, but statistically significant, rejuvenation effect could be observed in the hypothalamus. The treatment was accompanied by progressive improvement in the function of these organs as ascertained through numerous biochemical/physiological biomarkers, behavioral responses encompassing cognitive functions. An immunoglobulin G (IgG) N-glycosylation pattern shift from pro- to anti-inflammatory also indicated reversal of glycan aging. Overall, this study demonstrates that a young porcine plasma-derived treatment markedly reverses aging in rats according to epigenetic clocks, IgG glycans, and other biomarkers of aging.
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Affiliation(s)
- Steve Horvath
- Department of Human Genetics, David Geffen School of Medicine, University of California, Los Angeles, CA, USA.
- Department of Biostatistics, Fielding School of Public Health, University of California, Los Angeles, CA, USA.
- Altos Labs, Cambridge, UK.
| | - Kavita Singh
- Shobhaben Pratapbhai Patel School of Pharmacy and Technology Management, SVKM's NMIMS University, Mumbai, India
| | | | - Shraddha I Khairnar
- Shobhaben Pratapbhai Patel School of Pharmacy and Technology Management, SVKM's NMIMS University, Mumbai, India
| | | | | | - Joseph A Zoller
- Department of Biostatistics, Fielding School of Public Health, University of California, Los Angeles, CA, USA
| | - Caesar Z Li
- Department of Biostatistics, Fielding School of Public Health, University of California, Los Angeles, CA, USA
| | - Claudia B Herenu
- Institute for Experimental Pharmacology of Cordoba (IFEC), School of Chemical Sciences, National University of Cordoba, Cordoba, Argentina
| | - Martina Canatelli-Mallat
- Biochemistry Research Institute of La Plata-Histology B, Pathology B, School of Medicine, University of La Plata, La Plata, Argentina
| | - Marianne Lehmann
- Biochemistry Research Institute of La Plata-Histology B, Pathology B, School of Medicine, University of La Plata, La Plata, Argentina
| | | | | | | | - Leah C Solberg Woods
- Wake Forest University School of Medicine, Medical Center Drive, Winston Salem, NC, USA
| | - Angel Garcia Martinez
- Department of Pharmacology, Addiction Science and Toxicology, The University of Tennessee Health Science Center, Memphis, TN, USA
| | - Tengfei Wang
- Department of Pharmacology, Addiction Science and Toxicology, The University of Tennessee Health Science Center, Memphis, TN, USA
| | - Priscila Chiavellini
- Biochemistry Research Institute of La Plata-Histology B, Pathology B, School of Medicine, University of La Plata, La Plata, Argentina
| | - Andrew J Levine
- Department of Neurology, David Geffen School of Medicine at the University of California, Los Angeles, CA, USA
| | - Hao Chen
- Department of Pharmacology, Addiction Science and Toxicology, The University of Tennessee Health Science Center, Memphis, TN, USA
| | | | | | - Gordan Lauc
- Genos Glycoscience Research Laboratory, Zagreb, Croatia
- Faculty of Pharmacy and Biochemistry, University of Zagreb, Zagreb, Croatia
| | - Rodolfo G Goya
- Biochemistry Research Institute of La Plata-Histology B, Pathology B, School of Medicine, University of La Plata, La Plata, Argentina
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Silaidos CV, Reutzel M, Wachter L, Dieter F, Ludin N, Blum WF, Wudy SA, Matura S, Pilatus U, Hattingen E, Pantel J, Eckert GP. Age-related changes in energy metabolism in peripheral mononuclear blood cells (PBMCs) and the brains of cognitively healthy seniors. GeroScience 2024; 46:981-998. [PMID: 37308768 PMCID: PMC10828287 DOI: 10.1007/s11357-023-00810-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2022] [Accepted: 04/25/2023] [Indexed: 06/14/2023] Open
Abstract
Mitochondrial dysfunction is a hallmark of cellular senescence and many age-related neurodegenerative diseases. We therefore investigated the relationship between mitochondrial function in peripheral blood cells and cerebral energy metabolites in young and older sex-matched, physically and mentally healthy volunteers. Cross-sectional observational study involving 65 young (26.0 ± 0.49 years) and 65 older (71.7 ± 0.71 years) women and men recruited. Cognitive health was evaluated using established psychometric methods (MMSE, CERAD). Blood samples were collected and analyzed, and fresh peripheral blood mononuclear cells (PBMCs) were isolated. Mitochondrial respiratory complex activity was measured using a Clarke electrode. Adenosine triphosphate (ATP) and citrate synthase activity (CS) were determined by bioluminescence and photometrically. N-aspartyl-aspartate (tNAA), ATP, creatine (Cr), and phosphocreatine (PCr) were quantified in brains using 1H- and 31P-magnetic resonance spectroscopic imaging (MRSI). Levels of insulin-like growth factor 1 (IGF-1) were determined using a radio-immune assay (RIA). Complex IV activity (CIV) (- 15%) and ATP levels (- 11%) were reduced in PBMCs isolated from older participants. Serum levels of IGF-1 were significantly reduced (- 34%) in older participants. Genes involved in mitochondrial activity, antioxidant mechanisms, and autophagy were unaffected by age. tNAA levels were reduced (- 5%), Cr (+ 11%), and PCr (+ 14%) levels were increased, and ATP levels were unchanged in the brains of older participants. Markers of energy metabolism in blood cells did not significantly correlate with energy metabolites in the brain. Age-related bioenergetic changes were detected in peripheral blood cells and the brains of healthy older people. However, mitochondrial function in peripheral blood cells does not reflect energy related metabolites in the brain. While ATP levels in PBMCs may be be a valid marker for age-related mitochondrial dysfunction in humans, cerebral ATP remained constant.
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Affiliation(s)
- Carmina V Silaidos
- Laboratory for Nutrition in Prevention and Therapy, Biomedical Research Center Seltersberg (BFS), Institute of Nutritional Sciences, Justus-Liebig-University of Giessen, Schubertstrasse 81, 35392, Giessen, Germany
| | - Martina Reutzel
- Laboratory for Nutrition in Prevention and Therapy, Biomedical Research Center Seltersberg (BFS), Institute of Nutritional Sciences, Justus-Liebig-University of Giessen, Schubertstrasse 81, 35392, Giessen, Germany
| | - Lena Wachter
- Laboratory for Nutrition in Prevention and Therapy, Biomedical Research Center Seltersberg (BFS), Institute of Nutritional Sciences, Justus-Liebig-University of Giessen, Schubertstrasse 81, 35392, Giessen, Germany
| | - Fabian Dieter
- Laboratory for Nutrition in Prevention and Therapy, Biomedical Research Center Seltersberg (BFS), Institute of Nutritional Sciences, Justus-Liebig-University of Giessen, Schubertstrasse 81, 35392, Giessen, Germany
| | - Nasir Ludin
- Institute for Neuroradiology, University Hospital, Goethe University, Schleusenweg 2-16, Frankfurt, Germany
| | - Werner F Blum
- Laboratory for Translational Hormone Analytics in Pediatric Endocrinology, Peptide Hormone Research Unit Division of Pediatric Endocrinology and Diabetology, Center of Child and Adolescent Medicine, Justus Liebig University, Giessen, Germany
| | - Stefan A Wudy
- Laboratory for Translational Hormone Analytics in Pediatric Endocrinology, Peptide Hormone Research Unit Division of Pediatric Endocrinology and Diabetology, Center of Child and Adolescent Medicine, Justus Liebig University, Giessen, Germany
| | - Silke Matura
- Department of Psychiatry, Psychosomatic Medicine and Psychotherapy, University Hospital, Goethe University, Frankfurt, Germany
| | - Ulrich Pilatus
- Institute for Neuroradiology, University Hospital, Goethe University, Schleusenweg 2-16, Frankfurt, Germany
- Brain Imaging Center (BIC), University Hospital Frankfurt, Frankfurt a. M, Germany
| | - Elke Hattingen
- Institute for Neuroradiology, University Hospital, Goethe University, Schleusenweg 2-16, Frankfurt, Germany
| | - Johannes Pantel
- Geriatric Medicine, Institute of General Practice, Goethe University, Frankfurt a. M, Germany
| | - Gunter P Eckert
- Laboratory for Nutrition in Prevention and Therapy, Biomedical Research Center Seltersberg (BFS), Institute of Nutritional Sciences, Justus-Liebig-University of Giessen, Schubertstrasse 81, 35392, Giessen, Germany.
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Cao B, Xue Y, Liu D. The association between methylmalonic acid, a biomarker of mitochondria dysfunction, and phenotypic age acceleration: A population-based study. Arch Gerontol Geriatr 2024; 117:105176. [PMID: 37713936 DOI: 10.1016/j.archger.2023.105176] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2023] [Revised: 07/16/2023] [Accepted: 08/30/2023] [Indexed: 09/17/2023]
Abstract
Phenotypic age acceleration (PAA) is a sensitive marker of biological aging. Circulating methylmalonic acid (MMA) is a novel biomarker of mitochondrial dysfunction and has been associated with age-related disorders. Our study aimed to investigate to what extent circulating MMA was associated with PAA, and whether the association was independent of vitamin B12 status and renal function in the general population. We analyzed cross-sectional data from 13,023 participants across a wide age range (mean age: 38.9 years, range: 12 - 85 years, 51.1% women) from the US National Health and Nutrition Examination Survey (NHANES). PAA was calculated based on the published algorithm. Linear regression models were performed to assess the association between circulating MAA and PAA. Only 31% of the variation in MMA levels was explained by age, sex, race/ethnicity, social economic status, vitamin B12 status, and renal function. Per unit increase in circulating MAA (1.0 nmol/L) was associated with 1.59 years increase in PAA (β = 1.59, 95% CI: 1.17, 2.00, p < 0.001) after adjusting for multiple confounders. Importantly, PAA increased with circulating MMA levels independent of vitamin B12, creatine, and homocysteine levels. The association was more pronounced in subgroups of age ≥ 65 years, women, underweight, vitamin B12 < 400 μmol/L, and homocysteine ≥ 10 μmol/L. The association was much stronger among participants with cardiovascular diseases (CVDs) than without CVDs. In conclusion, our current population-based study showed that mitochondria-derived circulating MMA was associated with increased phenotypic age acceleration in the general population.
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Affiliation(s)
- Bing Cao
- School of Psychology and Key Laboratory of Cognition and Personality (Ministry of Education), Southwest University, Chongqing, 400715, China
| | - Yu Xue
- Department of Clinical Nutrition, West China Hospital, Sichuan University, No.37 Guoxue Lane, Chengdu, Sichuan, China
| | - Dan Liu
- Population Health Sciences, German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany.
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Wang Q, Wang L, Huang Z, Xiao Y, Liu M, Liu H, Yu Y, Liang M, Luo N, Li K, Mishra A, Huang Z. Abalone peptide increases stress resilience and cost-free longevity via SKN-1-governed transcriptional metabolic reprogramming in C. elegans. Aging Cell 2024; 23:e14046. [PMID: 37990605 PMCID: PMC10861207 DOI: 10.1111/acel.14046] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2023] [Accepted: 10/30/2023] [Indexed: 11/23/2023] Open
Abstract
A major goal of healthy aging is to prevent declining resilience and increasing frailty, which are associated with many chronic diseases and deterioration of stress response. Here, we propose a loss-or-gain survival model, represented by the ratio of cumulative stress span to life span, to quantify stress resilience at organismal level. As a proof of concept, this is demonstrated by reduced survival resilience in Caenorhabditis elegans exposed to exogenous oxidative stress induced by paraquat or with endogenous proteotoxic stress caused by polyglutamine or amyloid-β aggregation. Based on this, we reveal that a hidden peptide ("cryptide")-AbaPep#07 (SETYELRK)-derived from abalone hemocyanin not only enhances survival resilience against paraquat-induced oxidative stress but also rescues proteotoxicity-mediated behavioral deficits in C. elegans, indicating its capacity against stress and neurodegeneration. Interestingly, AbaPep#07 is also found to increase cost-free longevity and age-related physical fitness in nematodes. We then demonstrate that AbaPep#07 can promote nuclear localization of SKN-1/Nrf, but not DAF-16/FOXO, transcription factor. In contrast to its effects in wild-type nematodes, AbaPep#07 cannot increase oxidative stress survival and physical motility in loss-of-function skn-1 mutant, suggesting an SKN-1/Nrf-dependent fashion of these effects. Further investigation reveals that AbaPep#07 can induce transcriptional activation of immune defense, lipid metabolism, and metabolic detoxification pathways, including many SKN-1/Nrf target genes. Together, our findings demonstrate that AbaPep#07 is able to boost stress resilience and reduce behavioral frailty via SKN-1/Nrf-governed transcriptional reprogramming, and provide an insight into the health-promoting potential of antioxidant cryptides as geroprotectors in aging and associated conditions.
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Affiliation(s)
- Qiangqiang Wang
- Institute for Food Nutrition and Human Health, School of Food Science and Engineering, South China University of TechnologyGuangzhouChina
- Guangdong Province Key Laboratory for BiocosmeticsGuangzhouChina
| | - Liangyi Wang
- Institute for Food Nutrition and Human Health, School of Food Science and Engineering, South China University of TechnologyGuangzhouChina
- Center for Bioresources and Drug Discovery, School of Biosciences and Biopharmaceutics, Guangdong Pharmaceutical UniversityGuangzhouChina
| | - Ziliang Huang
- Institute for Food Nutrition and Human Health, School of Food Science and Engineering, South China University of TechnologyGuangzhouChina
- Center for Bioresources and Drug Discovery, School of Biosciences and Biopharmaceutics, Guangdong Pharmaceutical UniversityGuangzhouChina
| | - Yue Xiao
- Institute for Food Nutrition and Human Health, School of Food Science and Engineering, South China University of TechnologyGuangzhouChina
- Guangdong Province Key Laboratory for BiocosmeticsGuangzhouChina
| | - Mao Liu
- Institute for Food Nutrition and Human Health, School of Food Science and Engineering, South China University of TechnologyGuangzhouChina
- Guangdong Province Key Laboratory for BiocosmeticsGuangzhouChina
| | - Huihui Liu
- Institute for Food Nutrition and Human Health, School of Food Science and Engineering, South China University of TechnologyGuangzhouChina
- Center for Bioresources and Drug Discovery, School of Biosciences and Biopharmaceutics, Guangdong Pharmaceutical UniversityGuangzhouChina
| | - Yi Yu
- Research and Development Center, Infinitus (China) Company LtdGuangzhouChina
| | - Ming Liang
- Research and Development Center, Infinitus (China) Company LtdGuangzhouChina
| | - Ning Luo
- Institute of Chinese Medicinal Sciences, Guangdong Pharmaceutical UniversityGuangzhouChina
| | - Kunping Li
- Institute of Chinese Medicinal Sciences, Guangdong Pharmaceutical UniversityGuangzhouChina
| | - Ajay Mishra
- European Bioinformatics InstituteCambridgeUK
| | - Zebo Huang
- Institute for Food Nutrition and Human Health, School of Food Science and Engineering, South China University of TechnologyGuangzhouChina
- Guangdong Province Key Laboratory for BiocosmeticsGuangzhouChina
- Center for Bioresources and Drug Discovery, School of Biosciences and Biopharmaceutics, Guangdong Pharmaceutical UniversityGuangzhouChina
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Yévenes-Briones H, Caballero FF, Struijk EA, Arias-Fernández L, Lana A, Rey-Martinez J, Rodríguez-Artalejo F, Lopez-Garcia E. Association Between Speech Reception Threshold in Noise and Multimorbidity: The UK Biobank Study. Otolaryngol Head Neck Surg 2024; 170:480-489. [PMID: 37622533 DOI: 10.1002/ohn.507] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2023] [Revised: 07/17/2023] [Accepted: 08/06/2023] [Indexed: 08/26/2023]
Abstract
OBJECTIVE To investigate the association between hearing function, as approached with the functional auditory capacity, and multimorbidity. STUDY DESIGN Cross-sectional study. SETTING The UK Biobank was established from 2006 to 2010 in the United Kingdom. This cross-sectional analysis included 165,524 participants who provided baseline information on hearing function. METHODS Functional auditory capacity was measured with a digit triplet test. Three categories were defined according to the speech reception threshold in noise (SRTn): normal (SRTn < -5.5 dB signal-to-noise ratio [SNR]), insufficient (SRTn ≥ -5.5 to ≤ -3.5 dB SNR) and poor hearing function (SRTn > -3.5 dB SNR). To define multimorbidity, 9 chronic diseases were considered, including chronic obstructive pulmonary disease, dementia, Parkinson's disease, stroke, cancer, depression, osteoarthritis, coronary heart disease, and diabetes; multimorbidity was defined as the coexistence of 2 or more in the same individual. Analyses were conducted using logistic models adjusted for relevant confounders. RESULTS Among the study participants, 54.5% were women, and the mean (range) age was 56.7 (39-72) years. The prevalence of insufficient and poor hearing function and multimorbidity was 13% and 13.2%, respectively. In comparison with having a normal SRTn, the odds ratio (95% confidence interval) of multimorbidity associated with insufficient SRTn was 1.13 (1.08-1.18), and with poor SRTn was 1.25 (1.14-1.37). CONCLUSION Insufficient and poor hearing function was associated with multimorbidity. This association suggests common biological pathways for many of the considered morbidities.
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Affiliation(s)
- Humberto Yévenes-Briones
- Department of Preventive Medicine and Public Health, School of Medicine, Universidad Autónoma de Madrid, Madrid, Spain
- CIBER of Epidemiology and Public Health (CIBERESP), Madrid, Spain
| | - Francisco Félix Caballero
- Department of Preventive Medicine and Public Health, School of Medicine, Universidad Autónoma de Madrid, Madrid, Spain
- CIBER of Epidemiology and Public Health (CIBERESP), Madrid, Spain
| | - Ellen A Struijk
- Department of Preventive Medicine and Public Health, School of Medicine, Universidad Autónoma de Madrid, Madrid, Spain
- CIBER of Epidemiology and Public Health (CIBERESP), Madrid, Spain
| | | | - Alberto Lana
- Department of Medicine, Universidad de Oviedo/ISPA, Oviedo, Spain
| | - Jorge Rey-Martinez
- Neurotology Unit, ENT Department, Hospital Universitario Donostia, San Sebastián-Donostia, Spain
| | - Fernando Rodríguez-Artalejo
- Department of Preventive Medicine and Public Health, School of Medicine, Universidad Autónoma de Madrid, Madrid, Spain
- CIBER of Epidemiology and Public Health (CIBERESP), Madrid, Spain
- IMDEA-Food Institute, CEI UAM, Madrid, Spain
| | - Esther Lopez-Garcia
- Department of Preventive Medicine and Public Health, School of Medicine, Universidad Autónoma de Madrid, Madrid, Spain
- CIBER of Epidemiology and Public Health (CIBERESP), Madrid, Spain
- IMDEA-Food Institute, CEI UAM, Madrid, Spain
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Tao MH, Drake CL, Lin CH. Association of sleep duration, chronotype, social jetlag, and sleep disturbance with phenotypic age acceleration: A cross-sectional analysis. Sleep Health 2024; 10:122-128. [PMID: 38238123 DOI: 10.1016/j.sleh.2023.11.015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2023] [Revised: 11/22/2023] [Accepted: 11/30/2023] [Indexed: 03/01/2024]
Abstract
OBJECTIVE Sleep is a critical health-related behavior; research evidence has shown that sleep duration, poor sleep quality and insomnia are associated with aging and relevant age-related diseases. However, the associations between sleep duration, chronotype, sleep disturbance, and biological age have not been comprehensively assessed. This study aimed to examine sleep characteristics with biological age. METHODS The study included 6534 participants aged 20 years and older from the National Health and Nutrition Examination Survey between 2017 and March 2020. Sleep questionnaires were used to collect information on sleep duration and wake behavior on workdays and workfree days and sleep disturbance. Phenotypic age acceleration (PhenoAgeAccel) was estimated as a biological age measure using 9 blood chemistry biomarkers. RESULTS Long sleep (>9 hours) and extremely short sleep (≤4 hours) on workdays were positively associated with PhenoAgeAccel, compared with optimal sleep duration (7-8 hours). Similar positive associations with PhenoAgeAccel were observed for sleep duration on workfree days and across the whole week. Both slightly evening and evening chronotypes were associated with faster PhenoAgeAccel compared to morning chronotype. Social jetlag and sleep disturbance were not associated with PhenoAgeAccel, while long corrected social jetlag was associated with faster PhenoAgeAccel. The associations of sleep duration, chronotype, and corrected social jetlag with PhenoAgeAccel appeared stronger among females than among males. CONCLUSIONS Findings suggest a U-shape relationship between sleep duration and biological aging; slightly evening and evening chronotypes may be risk factors for aging. Further studies are needed to confirm these findings.
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Affiliation(s)
- Meng-Hua Tao
- Department of Public Health Sciences, Henry Ford Health System, Detroit, Michigan, USA.
| | - Christopher L Drake
- Department of Medicine, Division of Sleep Medicine, Henry Ford Health System, Novi, Michigan, USA
| | - Chun-Hui Lin
- Department of Public Health Sciences, Henry Ford Health System, Detroit, Michigan, USA
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Rojas-Vázquez S, Lozano-Torres B, García-Fernández A, Galiana I, Perez-Villalba A, Martí-Rodrigo P, Palop MJ, Domínguez M, Orzáez M, Sancenón F, Blandez JF, Fariñas I, Martínez-Máñez R. A renal clearable fluorogenic probe for in vivo β-galactosidase activity detection during aging and senolysis. Nat Commun 2024; 15:775. [PMID: 38278798 PMCID: PMC10817927 DOI: 10.1038/s41467-024-44903-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2023] [Accepted: 01/10/2024] [Indexed: 01/28/2024] Open
Abstract
Accumulation of senescent cells with age leads to tissue dysfunction and related diseases. Their detection in vivo still constitutes a challenge in aging research. We describe the generation of a fluorogenic probe (sulfonic-Cy7Gal) based on a galactose derivative, to serve as substrate for β-galactosidase, conjugated to a Cy7 fluorophore modified with sulfonic groups to enhance its ability to diffuse. When administered to male or female mice, β-galactosidase cleaves the O-glycosidic bond, releasing the fluorophore that is ultimately excreted by the kidneys and can be measured in urine. The intensity of the recovered fluorophore reliably reflects an experimentally controlled load of cellular senescence and correlates with age-associated anxiety during aging and senolytic treatment. Interestingly, our findings with the probe indicate that the effects of senolysis are temporary if the treatment is discontinued. Our strategy may serve as a basis for developing fluorogenic platforms designed for easy longitudinal monitoring of enzymatic activities in biofluids.
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Affiliation(s)
- Sara Rojas-Vázquez
- Instituto Interuniversitario de Investigación de Reconocimiento Molecular y Desarrollo Tecnológico (IDM), Universitat Politècnica de València-Universitat de València, Valencia, Spain
- CIBER de Bioingeniería, Biomateriales y Nanomedicina (CIBER-BBN), Valencia, Spain
- Instituto de Biotecnología y Biomedicina (BIOTECMED), Universitat de València, Valencia, Spain
| | - Beatriz Lozano-Torres
- Instituto Interuniversitario de Investigación de Reconocimiento Molecular y Desarrollo Tecnológico (IDM), Universitat Politècnica de València-Universitat de València, Valencia, Spain
- CIBER de Bioingeniería, Biomateriales y Nanomedicina (CIBER-BBN), Valencia, Spain
- Unidad Mixta UPV-CIPF de Investigación en Mecanismos de Enfermedades y Nanomedicina, Universitat Politècnica de València, Centro de Investigación Príncipe Felipe, Valencia, Spain
| | - Alba García-Fernández
- Instituto Interuniversitario de Investigación de Reconocimiento Molecular y Desarrollo Tecnológico (IDM), Universitat Politècnica de València-Universitat de València, Valencia, Spain
- CIBER de Bioingeniería, Biomateriales y Nanomedicina (CIBER-BBN), Valencia, Spain
- Unidad Mixta UPV-CIPF de Investigación en Mecanismos de Enfermedades y Nanomedicina, Universitat Politècnica de València, Centro de Investigación Príncipe Felipe, Valencia, Spain
| | - Irene Galiana
- Instituto Interuniversitario de Investigación de Reconocimiento Molecular y Desarrollo Tecnológico (IDM), Universitat Politècnica de València-Universitat de València, Valencia, Spain
- CIBER de Bioingeniería, Biomateriales y Nanomedicina (CIBER-BBN), Valencia, Spain
- Unidad Mixta UPV-CIPF de Investigación en Mecanismos de Enfermedades y Nanomedicina, Universitat Politècnica de València, Centro de Investigación Príncipe Felipe, Valencia, Spain
- Unidad Mixta de Investigación en Nanomedicina y Sensores, Universitat Politècnica de València, IIS La Fe, Valencia, Spain
| | - Ana Perez-Villalba
- Laboratory of Animal Behavior Phenotype (L.A.B.P.). Facultad de Psicología, Universidad Católica de Valencia, Valencia, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Neurodegenerativas (CIBERNED), Valencia, Spain
| | - Pablo Martí-Rodrigo
- Instituto de Biotecnología y Biomedicina (BIOTECMED), Universitat de València, Valencia, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Neurodegenerativas (CIBERNED), Valencia, Spain
| | - M José Palop
- Instituto de Biotecnología y Biomedicina (BIOTECMED), Universitat de València, Valencia, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Neurodegenerativas (CIBERNED), Valencia, Spain
| | - Marcia Domínguez
- Instituto Interuniversitario de Investigación de Reconocimiento Molecular y Desarrollo Tecnológico (IDM), Universitat Politècnica de València-Universitat de València, Valencia, Spain
- CIBER de Bioingeniería, Biomateriales y Nanomedicina (CIBER-BBN), Valencia, Spain
| | - Mar Orzáez
- Unidad Mixta UPV-CIPF de Investigación en Mecanismos de Enfermedades y Nanomedicina, Universitat Politècnica de València, Centro de Investigación Príncipe Felipe, Valencia, Spain
- Centro de Investigación Príncipe Felipe, Valencia, Spain
| | - Félix Sancenón
- Instituto Interuniversitario de Investigación de Reconocimiento Molecular y Desarrollo Tecnológico (IDM), Universitat Politècnica de València-Universitat de València, Valencia, Spain
- CIBER de Bioingeniería, Biomateriales y Nanomedicina (CIBER-BBN), Valencia, Spain
- Unidad Mixta UPV-CIPF de Investigación en Mecanismos de Enfermedades y Nanomedicina, Universitat Politècnica de València, Centro de Investigación Príncipe Felipe, Valencia, Spain
- Unidad Mixta de Investigación en Nanomedicina y Sensores, Universitat Politècnica de València, IIS La Fe, Valencia, Spain
| | - Juan F Blandez
- Instituto Interuniversitario de Investigación de Reconocimiento Molecular y Desarrollo Tecnológico (IDM), Universitat Politècnica de València-Universitat de València, Valencia, Spain
- CIBER de Bioingeniería, Biomateriales y Nanomedicina (CIBER-BBN), Valencia, Spain
- Unidad Mixta UPV-CIPF de Investigación en Mecanismos de Enfermedades y Nanomedicina, Universitat Politècnica de València, Centro de Investigación Príncipe Felipe, Valencia, Spain
- Unidad Mixta de Investigación en Nanomedicina y Sensores, Universitat Politècnica de València, IIS La Fe, Valencia, Spain
| | - Isabel Fariñas
- Instituto de Biotecnología y Biomedicina (BIOTECMED), Universitat de València, Valencia, Spain.
- Centro de Investigación Biomédica en Red de Enfermedades Neurodegenerativas (CIBERNED), Valencia, Spain.
| | - Ramón Martínez-Máñez
- Instituto Interuniversitario de Investigación de Reconocimiento Molecular y Desarrollo Tecnológico (IDM), Universitat Politècnica de València-Universitat de València, Valencia, Spain.
- CIBER de Bioingeniería, Biomateriales y Nanomedicina (CIBER-BBN), Valencia, Spain.
- Unidad Mixta UPV-CIPF de Investigación en Mecanismos de Enfermedades y Nanomedicina, Universitat Politècnica de València, Centro de Investigación Príncipe Felipe, Valencia, Spain.
- Unidad Mixta de Investigación en Nanomedicina y Sensores, Universitat Politècnica de València, IIS La Fe, Valencia, Spain.
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Schellnegger M, Hofmann E, Carnieletto M, Kamolz LP. Unlocking longevity: the role of telomeres and its targeting interventions. FRONTIERS IN AGING 2024; 5:1339317. [PMID: 38333665 PMCID: PMC10850353 DOI: 10.3389/fragi.2024.1339317] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/15/2023] [Accepted: 01/11/2024] [Indexed: 02/10/2024]
Abstract
Average life expectancy has been steadily increasing in developed countries worldwide. These demographic changes are associated with an ever-growing social and economic strain to healthcare systems as well as society. The aging process typically manifests as a decline in physiological and cognitive functions, accompanied by a rise in chronic diseases. Consequently, strategies that both mitigate age-related diseases and promote healthy aging are urgently needed. Telomere attrition, characterized by the shortening of telomeres with each cell division, paradoxically serves as both a protective mechanism and a contributor to tissue degeneration and age-related ailments. Based on the essential role of telomere biology in aging, research efforts aim to develop approaches designed to counteract telomere attrition, aiming to delay or reduce age-related diseases. In this review, telomere biology and its role in aging and age-related diseases is summarized along with recent approaches to interfere with telomere shortening aiming at well- and healthy-aging as well as longevity. As aging research enters a new era, this review emphasizes telomere-targeting therapeutics, including telomerase activators and tankyrase inhibitors, while also exploring the effects of antioxidative and anti-inflammatory agents, along with indirectly related approaches like statins.
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Affiliation(s)
- Marlies Schellnegger
- Division of Plastic, Aesthetic and Reconstructive Surgery, Department of Surgery, Medical University of Graz, Graz, Austria
- COREMED–Centre for Regenerative and Precision Medicine, JOANNEUM RESEARCH Forschungsgesellschaft mbH, Graz, Austria
| | - Elisabeth Hofmann
- Division of Plastic, Aesthetic and Reconstructive Surgery, Department of Surgery, Medical University of Graz, Graz, Austria
- COREMED–Centre for Regenerative and Precision Medicine, JOANNEUM RESEARCH Forschungsgesellschaft mbH, Graz, Austria
- Research Unit for Tissue Regeneration, Repair and Reconstruction, Division of Plastic, Aesthetic and Reconstructive Surgery, Department of Surgery, Medical University of Graz, Graz, Austria
| | - Martina Carnieletto
- Division of Plastic, Aesthetic and Reconstructive Surgery, Department of Surgery, Medical University of Graz, Graz, Austria
- COREMED–Centre for Regenerative and Precision Medicine, JOANNEUM RESEARCH Forschungsgesellschaft mbH, Graz, Austria
| | - Lars-Peter Kamolz
- Division of Plastic, Aesthetic and Reconstructive Surgery, Department of Surgery, Medical University of Graz, Graz, Austria
- COREMED–Centre for Regenerative and Precision Medicine, JOANNEUM RESEARCH Forschungsgesellschaft mbH, Graz, Austria
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48
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Panier S, Wang S, Schumacher B. Genome Instability and DNA Repair in Somatic and Reproductive Aging. ANNUAL REVIEW OF PATHOLOGY 2024; 19:261-290. [PMID: 37832947 DOI: 10.1146/annurev-pathmechdis-051122-093128] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/15/2023]
Abstract
Genetic material is constantly subjected to genotoxic insults and is critically dependent on DNA repair. Genome maintenance mechanisms differ in somatic and germ cells as the soma only requires maintenance during an individual's lifespan, while the germline indefinitely perpetuates its genetic information. DNA lesions are recognized and repaired by mechanistically highly diverse repair machineries. The DNA damage response impinges on a vast array of homeostatic processes and can ultimately result in cell fate changes such as apoptosis or cellular senescence. DNA damage causally contributes to the aging process and aging-associated diseases, most prominently cancer. By causing mutations, DNA damage in germ cells can lead to genetic diseases and impact the evolutionary trajectory of a species. The mechanisms ensuring tight control of germline DNA repair could be highly instructive in defining strategies for improved somatic DNA repair. They may provide future interventions to maintain health and prevent disease during aging.
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Affiliation(s)
- Stephanie Panier
- Institute for Genome Stability in Aging and Disease and Cluster of Excellence: Cellular Stress Responses in Aging-Associated Diseases (CECAD), University of Cologne and University Hospital of Cologne, Cologne, Germany;
- Max Planck Institute for Biology of Ageing, Cologne, Germany
| | - Siyao Wang
- Institute for Genome Stability in Aging and Disease and Cluster of Excellence: Cellular Stress Responses in Aging-Associated Diseases (CECAD), University of Cologne and University Hospital of Cologne, Cologne, Germany;
- Center for Molecular Medicine Cologne (CMMC), University of Cologne, Cologne, Germany
- Institute of Molecular Biology (IMB), Mainz, Germany
| | - Björn Schumacher
- Institute for Genome Stability in Aging and Disease and Cluster of Excellence: Cellular Stress Responses in Aging-Associated Diseases (CECAD), University of Cologne and University Hospital of Cologne, Cologne, Germany;
- Center for Molecular Medicine Cologne (CMMC), University of Cologne, Cologne, Germany
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Chen J, Li T, Zhao B, Chen H, Yuan C, Garden GA, Wu G, Zhu H. The interaction effects of age, APOE and common environmental risk factors on human brain structure. Cereb Cortex 2024; 34:bhad472. [PMID: 38112569 PMCID: PMC10793588 DOI: 10.1093/cercor/bhad472] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2023] [Revised: 10/09/2023] [Accepted: 11/06/2023] [Indexed: 12/21/2023] Open
Abstract
Mounting evidence suggests considerable diversity in brain aging trajectories, primarily arising from the complex interplay between age, genetic, and environmental risk factors, leading to distinct patterns of micro- and macro-cerebral aging. The underlying mechanisms of such effects still remain unclear. We conducted a comprehensive association analysis between cerebral structural measures and prevalent risk factors, using data from 36,969 UK Biobank subjects aged 44-81. Participants were assessed for brain volume, white matter diffusivity, Apolipoprotein E (APOE) genotypes, polygenic risk scores, lifestyles, and socioeconomic status. We examined genetic and environmental effects and their interactions with age and sex, and identified 726 signals, with education, alcohol, and smoking affecting most brain regions. Our analysis revealed negative age-APOE-ε4 and positive age-APOE-ε2 interaction effects, respectively, especially in females on the volume of amygdala, positive age-sex-APOE-ε4 interaction on the cerebellar volume, positive age-excessive-alcohol interaction effect on the mean diffusivity of the splenium of the corpus callosum, positive age-healthy-diet interaction effect on the paracentral volume, and negative APOE-ε4-moderate-alcohol interaction effects on the axial diffusivity of the superior fronto-occipital fasciculus. These findings highlight the need of considering age, sex, genetic, and environmental joint effects in elucidating normal or abnormal brain aging.
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Affiliation(s)
- Jie Chen
- Department of Biostatistics, University of North Carolina at Chapel Hill, 135 Dauer Drive, Chapel Hill NC 27514, United States
| | - Tengfei Li
- Department of Radiology, School of Medicine, University of North Carolina at Chapel Hill, 101 Manning Drive, Chapel Hill, NC 27514, United States
- Biomedical Research Imaging Center, School of Medicine, University of North Carolina at Chapel Hill, 125 Mason Farm Road, Chapel Hill, NC 27599, United States
| | - Bingxin Zhao
- Department of Statistics and Data Science, The Wharton School, University of Pennsylvania, 265 South 37th Street, 3rd & 4th Floors, Philadelphia, PA 19104-1686, United States
| | - Hui Chen
- School of Public Health, Zhejiang University School of Medicine, 866 Yuhangtang Rd, Hangzhou 310058, China
| | - Changzheng Yuan
- School of Public Health, Zhejiang University School of Medicine, 866 Yuhangtang Rd, Hangzhou 310058, China
- Department of Nutrition, Harvard T H Chan School of Public Health, 665 Huntington Avenue Boston, MA, 02115, United States
| | - Gwenn A Garden
- Department of Neurology, School of Medicine, University of North Carolina at Chapel Hill, 170 Manning Drive Chapel Hill, NC 27599-7025, United States
| | - Guorong Wu
- Department of Psychiatry, School of Medicine, University of North Carolina at Chapel Hill, 101 Manning Drive, Chapel Hill, NC 27514, United States
- Departments of Statistics and Operations Research, University of North Carolina at Chapel Hill, 318 E Cameron Ave #3260, Chapel Hill, NC 27599, United States
- Departments of Computer Science, University of North Carolina at Chapel Hill, 201 South Columbia Street, Chapel Hill, NC 27599, United States
- UNC Neuroscience Center, University of North Carolina at Chapel Hill, 116 Manning Dr, Chapel Hill, NC 27599, United States
- Carolina Institute for Developmental Disabilities, 101 Renee Lynne Ct, Carrboro, NC 27510, United States
| | - Hongtu Zhu
- Department of Biostatistics, University of North Carolina at Chapel Hill, 135 Dauer Drive, Chapel Hill NC 27514, United States
- Biomedical Research Imaging Center, School of Medicine, University of North Carolina at Chapel Hill, 125 Mason Farm Road, Chapel Hill, NC 27599, United States
- Departments of Statistics and Operations Research, University of North Carolina at Chapel Hill, 318 E Cameron Ave #3260, Chapel Hill, NC 27599, United States
- Departments of Computer Science, University of North Carolina at Chapel Hill, 201 South Columbia Street, Chapel Hill, NC 27599, United States
- Departments of Genetics, University of North Carolina at Chapel Hill, 120 Mason Farm Road, Chapel Hill, NC 27514, United States
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Bienkowska A, Raddatz G, Söhle J, Kristof B, Völzke H, Gallinat S, Lyko F, Kaderali L, Winnefeld M, Grönniger E, Falckenhayn C. Development of an epigenetic clock to predict visual age progression of human skin. FRONTIERS IN AGING 2024; 4:1258183. [PMID: 38274286 PMCID: PMC10809641 DOI: 10.3389/fragi.2023.1258183] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/13/2023] [Accepted: 11/28/2023] [Indexed: 01/27/2024]
Abstract
Aging is a complex process characterized by the gradual decline of physiological functions, leading to increased vulnerability to age-related diseases and reduced quality of life. Alterations in DNA methylation (DNAm) patterns have emerged as a fundamental characteristic of aged human skin, closely linked to the development of the well-known skin aging phenotype. These changes have been correlated with dysregulated gene expression and impaired tissue functionality. In particular, the skin, with its visible manifestations of aging, provides a unique model to study the aging process. Despite the importance of epigenetic age clocks in estimating biological age based on the correlation between methylation patterns and chronological age, a second-generation epigenetic age clock, which correlates DNAm patterns with a particular phenotype, specifically tailored to skin tissue is still lacking. In light of this gap, we aimed to develop a novel second-generation epigenetic age clock explicitly designed for skin tissue to facilitate a deeper understanding of the factors contributing to individual variations in age progression. To achieve this, we used methylation patterns from more than 370 female volunteers and developed the first skin-specific second-generation epigenetic age clock that accurately predicts the skin aging phenotype represented by wrinkle grade, visual facial age, and visual age progression, respectively. We then validated the performance of our clocks on independent datasets and demonstrated their broad applicability. In addition, we integrated gene expression and methylation data from independent studies to identify potential pathways contributing to skin age progression. Our results demonstrate that our epigenetic age clock, VisAgeX, specifically predicting visual age progression, not only captures known biological pathways associated with skin aging, but also adds novel pathways associated with skin aging.
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Affiliation(s)
- Agata Bienkowska
- Beiersdorf AG, Research and Development, Hamburg, Germany
- Institute for Bioinformatics, University Medicine Greifswald, Greifswald, Germany
| | - Günter Raddatz
- Division of Epigenetics, DKFZ-ZMBH Alliance, German Cancer Research Center, Heidelberg, Germany
| | - Jörn Söhle
- Beiersdorf AG, Research and Development, Hamburg, Germany
| | - Boris Kristof
- Beiersdorf AG, Research and Development, Hamburg, Germany
| | - Henry Völzke
- Institute for Community Medicine, SHIP/KEF, University Medicine Greifswald, Greifswald, Germany
| | | | - Frank Lyko
- Division of Epigenetics, DKFZ-ZMBH Alliance, German Cancer Research Center, Heidelberg, Germany
| | - Lars Kaderali
- Institute for Bioinformatics, University Medicine Greifswald, Greifswald, Germany
| | - Marc Winnefeld
- Beiersdorf AG, Research and Development, Hamburg, Germany
| | - Elke Grönniger
- Beiersdorf AG, Research and Development, Hamburg, Germany
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