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Xu X, Xu Z. Association Between Phenotypic Age and the Risk of Mortality in Patients With Heart Failure: A Retrospective Cohort Study. Clin Cardiol 2024; 47:e24321. [PMID: 39114957 PMCID: PMC11307102 DOI: 10.1002/clc.24321] [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: 05/22/2024] [Accepted: 06/18/2024] [Indexed: 08/10/2024] Open
Abstract
BACKGROUND Chronological age (CA) is an imperfect proxy for the true biological aging state of the body. As novel measures of biological aging, Phenotypic age (PhenoAge) and Phenotypic age acceleration (PhenoAgeAccel), have been shown to identify morbidity and mortality risks in the general population. HYPOTHESIS PhenoAge and PhenoAgeAccel might be associated with mortality in heart failure (HF) patients. METHODS This cohort study extracted adult data from the National Health and Nutrition Examination Survey (NHANES) databases. Weighted univariable and multivariable Cox models were performed to analyze the effect of PhenoAge and PhenoAgeAccel on all-cause mortality in HF patients, and hazard ratio (HR) with 95% confidence intervals (CI) was calculated. RESULTS In total, 845 HF patients were identified, with 626 all-cause mortality patients. The findings suggested that (1) each 1- and 10-year increase in PhenoAge were associated with a 3% (HR = 1.03, 95% CI: 1.03-1.04) and 41% (HR = 1.41, 95% CI: 1.29-1.54) increased risk of all-cause mortality, respectively; (2) when the PhenoAgeAccel < 0 as reference, the ≥ 0 group was associated with higher risk of all-cause mortality (HR = 1.91, 95% CI = 1.49-2.45). Subgroup analyses showed that (1) older PhenoAge was associated with an increased risk of all-cause mortality in all subgroups; (2) when the PhenoAgeAccel < 0 as a reference, PhenoAgeAccel ≥ 0 was associated with a higher risk of all-cause mortality in all subgroups. CONCLUSION Older PhenoAge was associated with an increased risk of all-cause mortality in HF patients. PhenoAge and PhenoAgeAccel can be used as convenient tools to facilitate the identification of at-risk individuals with HF and the evaluation of intervention efficacy.
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Affiliation(s)
- Xuhong Xu
- Department of Cardiovascular MedicineHuadu District People's Hospital of GuangzhouGuangzhouGuangdongPeople's Republic of China
| | - Zhiqi Xu
- Department of Cardiovascular MedicineHuadu District People's Hospital of GuangzhouGuangzhouGuangdongPeople's Republic of China
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Foessl I, Ackert-Bicknell CL, Kague E, Laskou F, Jakob F, Karasik D, Obermayer-Pietsch B, Alonso N, Bjørnerem Å, Brandi ML, Busse B, Calado Â, Cebi AH, Christou M, Curran KM, Hald JD, Semeraro MD, Douni E, Duncan EL, Duran I, Formosa MM, Gabet Y, Ghatan S, Gkitakou A, Hassler EM, Högler W, Heino TJ, Hendrickx G, Khashayar P, Kiel DP, Koromani F, Langdahl B, Lopes P, Mäkitie O, Maurizi A, Medina-Gomez C, Ntzani E, Ohlsson C, Prijatelj V, Rabionet R, Reppe S, Rivadeneira F, Roshchupkin G, Sharma N, Søe K, Styrkarsdottir U, Szulc P, Teti A, Tobias J, Valjevac A, van de Peppel J, van der Eerden B, van Rietbergen B, Zekic T, Zillikens MC. A perspective on muscle phenotyping in musculoskeletal research. Trends Endocrinol Metab 2024; 35:478-489. [PMID: 38553405 DOI: 10.1016/j.tem.2024.01.004] [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: 10/30/2023] [Revised: 01/13/2024] [Accepted: 01/16/2024] [Indexed: 05/12/2024]
Abstract
Musculoskeletal research should synergistically investigate bone and muscle to inform approaches for maintaining mobility and to avoid bone fractures. The relationship between sarcopenia and osteoporosis, integrated in the term 'osteosarcopenia', is underscored by the close association shown between these two conditions in many studies, whereby one entity emerges as a predictor of the other. In a recent workshop of Working Group (WG) 2 of the EU Cooperation in Science and Technology (COST) Action 'Genomics of MusculoSkeletal traits Translational Network' (GEMSTONE) consortium (CA18139), muscle characterization was highlighted as being important, but currently under-recognized in the musculoskeletal field. Here, we summarize the opinions of the Consortium and research questions around translational and clinical musculoskeletal research, discussing muscle phenotyping in human experimental research and in two animal models: zebrafish and mouse.
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Affiliation(s)
- Ines Foessl
- Division of Endocrinology and Diabetology, Department of Internal Medicine, Medical University of Graz, Graz, Austria.
| | - Cheryl L Ackert-Bicknell
- Colorado Program for Musculoskeletal Research, Department of Orthopedics, University of Colorado, Aurora, CO, USA
| | - Erika Kague
- Centre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK
| | | | - Franz Jakob
- Bernhard-Heine-Centrum für Bewegungsforschung und Lehrstuhl für Funktionswerkstoffe der Medizin und der Zahnheilkunde, Würzburg, Germany
| | - David Karasik
- Azrieli Faculty of Medicine, Bar-Ilan University, Ramat Gan, Israel
| | - Barbara Obermayer-Pietsch
- Division of Endocrinology and Diabetology, Department of Internal Medicine, Medical University of Graz, Graz, Austria
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Lin L, Kiryakos J, Ammous F, Ratliff SM, Ware EB, Faul JD, Kardia SLR, Zhao W, Birditt KS, Smith JA. Epigenetic age acceleration is associated with blood lipid levels in a multi-ancestry sample of older U.S. adults. BMC Med Genomics 2024; 17:146. [PMID: 38802805 PMCID: PMC11129464 DOI: 10.1186/s12920-024-01914-7] [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: 02/06/2024] [Accepted: 05/16/2024] [Indexed: 05/29/2024] Open
Abstract
BACKGROUND Dyslipidemia, which is characterized by an unfavorable lipid profile, is a key risk factor for cardiovascular disease (CVD). Understanding the relationships between epigenetic aging and lipid levels may help guide early prevention and treatment efforts for dyslipidemia. METHODS We used weighted linear regression to cross-sectionally investigate the associations between five measures of epigenetic age acceleration estimated from whole blood DNA methylation (HorvathAge Acceleration, HannumAge Acceleration, PhenoAge Acceleration, GrimAge Acceleration, and DunedinPACE) and four blood lipid measures (total cholesterol (TC), LDL-C, HDL-C, and triglycerides (TG)) in 3,813 participants (mean age = 70 years) from the Health and Retirement Study (HRS). As a sensitivity analysis, we examined the same associations in participants who fasted prior to the blood draw (n = 2,531) and in participants who did not take lipid-lowering medication (n = 1,869). Using interaction models, we also examined whether demographic factors including age, sex, and educational attainment modified the relationships between epigenetic age acceleration and blood lipids. RESULTS After adjusting for age, race/ethnicity, sex, fasting status, and lipid-lowering medication use, greater epigenetic age acceleration was associated with lower TC, HDL-C, and LDL-C, and higher TG (p < 0.05), although the effect sizes were relatively small (e.g., < 7 mg/dL of TC per standard deviation in epigenetic age acceleration). GrimAge acceleration and DunedinPACE associations with all lipids remained significant after further adjustment for body mass index, smoking status, and educational attainment. These associations were stronger in participants who fasted and who did not use lipid-lowering medication, particularly for LDL-C. We observed the largest number of interactions between DunedinPACE and demographic factors, where the associations with lipids were stronger in younger participants, females, and those with higher educational attainment. CONCLUSION Multiple measures of epigenetic age acceleration are associated with blood lipid levels in older adults. A greater understanding of how these associations differ across demographic groups can help shed light on the relationships between aging and downstream cardiovascular diseases. The inverse associations between epigenetic age and TC and LDL-C could be due to sample limitations or non-linear relationships between age and these lipids, as both TC and LDL-C decrease faster at older ages.
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Affiliation(s)
- Lisha Lin
- Department of Epidemiology, School of Public Health, University of Michigan, 1415 Washington Heights, Ann Arbor, MI, 48109, USA
| | - Jenna Kiryakos
- Department of Epidemiology, School of Public Health, University of Michigan, 1415 Washington Heights, Ann Arbor, MI, 48109, USA
| | - Farah Ammous
- Survey Research Center, Institute for Social Research, University of Michigan, 426 Thompson St, Ann Arbor, MI, 48104, USA
| | - Scott M Ratliff
- Department of Epidemiology, School of Public Health, University of Michigan, 1415 Washington Heights, Ann Arbor, MI, 48109, USA
| | - Erin B Ware
- Survey Research Center, Institute for Social Research, University of Michigan, 426 Thompson St, Ann Arbor, MI, 48104, USA
| | - Jessica D Faul
- Survey Research Center, Institute for Social Research, University of Michigan, 426 Thompson St, Ann Arbor, MI, 48104, USA
| | - Sharon L R Kardia
- Department of Epidemiology, School of Public Health, University of Michigan, 1415 Washington Heights, Ann Arbor, MI, 48109, USA
| | - Wei Zhao
- Department of Epidemiology, School of Public Health, University of Michigan, 1415 Washington Heights, Ann Arbor, MI, 48109, USA
- Survey Research Center, Institute for Social Research, University of Michigan, 426 Thompson St, Ann Arbor, MI, 48104, USA
| | - Kira S Birditt
- Survey Research Center, Institute for Social Research, University of Michigan, 426 Thompson St, Ann Arbor, MI, 48104, USA
| | - Jennifer A Smith
- Department of Epidemiology, School of Public Health, University of Michigan, 1415 Washington Heights, Ann Arbor, MI, 48109, USA.
- Survey Research Center, Institute for Social Research, University of Michigan, 426 Thompson St, Ann Arbor, MI, 48104, USA.
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4
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Lin L, Kiryakos J, Ammous F, Ratliff SM, Ware EB, Faul JD, Kardia SLR, Zhao W, Birditt KS, Smith JA. Epigenetic age acceleration is associated with blood lipid levels in a multi-ancestry sample of older U.S. adults. RESEARCH SQUARE 2024:rs.3.rs-3934965. [PMID: 38464171 PMCID: PMC10925395 DOI: 10.21203/rs.3.rs-3934965/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/12/2024]
Abstract
Background Dyslipidemia, which is characterized by an unfavorable lipid profile, is a key risk factor for cardiovascular disease (CVD). Understanding the relationships between epigenetic aging and lipid levels may help guide early prevention and treatment efforts for dyslipidemia. Methods We used weighted linear regression to cross-sectionally investigate the associations between five measures of epigenetic age acceleration estimated from whole blood DNA methylation (HorvathAge Acceleration, HannumAge Acceleration, PhenoAge Acceleration, GrimAge Acceleration, and DunedinPACE) and four blood lipid measures (total cholesterol (TC), LDL-C, HDL-C, and triglycerides (TG)) in 3,813 participants (mean age = 70 years) from the Health and Retirement Study (HRS). As a sensitivity analysis, we examined the same associations in participants who fasted prior to the blood draw (n = and f) and in participants who did not take lipid-lowering medication (n = 1,869). Using interaction models, we also examined whether the relationships between epigenetic age acceleration and blood lipids differ by demographic factors including age, sex, and educational attainment. Results After adjusting for age, race/ethnicity, sex, fasting status, and lipid-lowering medication use, greater epigenetic age acceleration was associated with lower TC, HDL-C, and LDL-C, and higher TG (p < 0.05). GrimAge acceleration and DunedinPACE associations with all lipids remained significant after further adjusting for body mass index, smoking status, and educational attainment. These associations were stronger in participants who fasted and who did not use lipid-lowering medication, particularly for LDL-C. We observed the largest number of interactions between DunedinPACE and demographic factors, where the associations with lipids were stronger in younger participants, females, and those with higher educational attainment. Conclusion Epigenetic age acceleration, a powerful biomarker of cellular aging, is highly associated with blood lipid levels in older adults. A greater understanding of how these associations differ across demographic groups can help shed light on the relationships between aging and downstream cardiovascular diseases. The inverse associations between epigenetic age and TC and LDL-C could be due to sample limitations or the non-linear relationship between age and these lipids, as both TC and LDL-C decrease faster at older ages. More studies are needed to further understand the temporal relationships between epigenetic age acceleration on blood lipids and other health outcomes.
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Affiliation(s)
- Lisha Lin
- Department of Epidemiology, School of Public Health, University of Michigan
| | - Jenna Kiryakos
- Department of Epidemiology, School of Public Health, University of Michigan
| | - Farah Ammous
- Department of Epidemiology, School of Public Health, University of Michigan
| | - Scott M Ratliff
- Department of Epidemiology, School of Public Health, University of Michigan
| | - Erin B Ware
- Survey Research Center, Institute for Social Research, University of Michigan
| | - Jessica D Faul
- Survey Research Center, Institute for Social Research, University of Michigan
| | - Sharon L R Kardia
- Department of Epidemiology, School of Public Health, University of Michigan
| | - Wei Zhao
- Department of Epidemiology, School of Public Health, University of Michigan
| | - Kira S Birditt
- Survey Research Center, Institute for Social Research, University of Michigan
| | - Jennifer A Smith
- Department of Epidemiology, School of Public Health, University of Michigan
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He Y, Li Z, Niu Y, Duan Y, Wang Q, Liu X, Dong Z, Zheng Y, Chen Y, Wang Y, Zhao D, Sun X, Cai G, Feng Z, Zhang W, Chen X. Progress in the study of aging marker criteria in human populations. Front Public Health 2024; 12:1305303. [PMID: 38327568 PMCID: PMC10847233 DOI: 10.3389/fpubh.2024.1305303] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2023] [Accepted: 01/08/2024] [Indexed: 02/09/2024] Open
Abstract
The use of human aging markers, which are physiological, biochemical and molecular indicators of structural or functional degeneration associated with aging, is the fundamental basis of individualized aging assessments. Identifying methods for selecting markers has become a primary and vital aspect of aging research. However, there is no clear consensus or uniform principle on the criteria for screening aging markers. Therefore, we combine previous research from our center and summarize the criteria for screening aging markers in previous population studies, which are discussed in three aspects: functional perspective, operational implementation perspective and methodological perspective. Finally, an evaluation framework has been established, and the criteria are categorized into three levels based on their importance, which can help assess the extent to which a candidate biomarker may be feasible, valid, and useful for a specific use context.
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Affiliation(s)
- Yan He
- Chengdu University of Traditional Chinese Medicine, Chengdu, China
- Department of Nephrology, First Medical Center of Chinese PLA General Hospital, National Key Laboratory of Kidney Diseases, National Clinical Research Center for Kidney Diseases, Beijing Key Laboratory of Kidney Diseases Research, Beijing, China
| | - Zhe Li
- The First Affiliated Hospital, College of Clinical Medicine of Henan University of Science and Technology, Luoyang, China
| | - Yue Niu
- Department of Nephrology, First Medical Center of Chinese PLA General Hospital, National Key Laboratory of Kidney Diseases, National Clinical Research Center for Kidney Diseases, Beijing Key Laboratory of Kidney Diseases Research, Beijing, China
| | - Yuting Duan
- Department of Nephrology, First Medical Center of Chinese PLA General Hospital, National Key Laboratory of Kidney Diseases, National Clinical Research Center for Kidney Diseases, Beijing Key Laboratory of Kidney Diseases Research, Beijing, China
| | - Qian Wang
- Department of Nephrology, First Medical Center of Chinese PLA General Hospital, National Key Laboratory of Kidney Diseases, National Clinical Research Center for Kidney Diseases, Beijing Key Laboratory of Kidney Diseases Research, Beijing, China
| | - Xiaomin Liu
- Department of Nephrology, First Medical Center of Chinese PLA General Hospital, National Key Laboratory of Kidney Diseases, National Clinical Research Center for Kidney Diseases, Beijing Key Laboratory of Kidney Diseases Research, Beijing, China
| | - Zheyi Dong
- Department of Nephrology, First Medical Center of Chinese PLA General Hospital, National Key Laboratory of Kidney Diseases, National Clinical Research Center for Kidney Diseases, Beijing Key Laboratory of Kidney Diseases Research, Beijing, China
| | - Ying Zheng
- Department of Nephrology, First Medical Center of Chinese PLA General Hospital, National Key Laboratory of Kidney Diseases, National Clinical Research Center for Kidney Diseases, Beijing Key Laboratory of Kidney Diseases Research, Beijing, China
| | - Yizhi Chen
- Department of Nephrology, First Medical Center of Chinese PLA General Hospital, National Key Laboratory of Kidney Diseases, National Clinical Research Center for Kidney Diseases, Beijing Key Laboratory of Kidney Diseases Research, Beijing, China
- Department of Nephrology, Hainan Hospital of Chinese PLA General Hospital, Hainan Province Academician Team Innovation Center, Sanya, China
| | - Yong Wang
- Department of Nephrology, First Medical Center of Chinese PLA General Hospital, National Key Laboratory of Kidney Diseases, National Clinical Research Center for Kidney Diseases, Beijing Key Laboratory of Kidney Diseases Research, Beijing, China
| | - Delong Zhao
- Department of Nephrology, First Medical Center of Chinese PLA General Hospital, National Key Laboratory of Kidney Diseases, National Clinical Research Center for Kidney Diseases, Beijing Key Laboratory of Kidney Diseases Research, Beijing, China
| | - Xuefeng Sun
- Department of Nephrology, First Medical Center of Chinese PLA General Hospital, National Key Laboratory of Kidney Diseases, National Clinical Research Center for Kidney Diseases, Beijing Key Laboratory of Kidney Diseases Research, Beijing, China
| | - Guangyan Cai
- Department of Nephrology, First Medical Center of Chinese PLA General Hospital, National Key Laboratory of Kidney Diseases, National Clinical Research Center for Kidney Diseases, Beijing Key Laboratory of Kidney Diseases Research, Beijing, China
| | - Zhe Feng
- Department of Nephrology, First Medical Center of Chinese PLA General Hospital, National Key Laboratory of Kidney Diseases, National Clinical Research Center for Kidney Diseases, Beijing Key Laboratory of Kidney Diseases Research, Beijing, China
| | - Weiguang Zhang
- Department of Nephrology, First Medical Center of Chinese PLA General Hospital, National Key Laboratory of Kidney Diseases, National Clinical Research Center for Kidney Diseases, Beijing Key Laboratory of Kidney Diseases Research, Beijing, China
| | - Xiangmei Chen
- Chengdu University of Traditional Chinese Medicine, Chengdu, China
- Department of Nephrology, First Medical Center of Chinese PLA General Hospital, National Key Laboratory of Kidney Diseases, National Clinical Research Center for Kidney Diseases, Beijing Key Laboratory of Kidney Diseases Research, Beijing, China
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Raina K, Kumari R, Thakur P, Sharma R, Singh R, Thakur A, Anand V, Sharma R, Chaudhary A. Mechanistic role and potential of Ayurvedic herbs as anti-aging therapies. Drug Metab Pers Ther 2023; 38:211-226. [PMID: 37708954 DOI: 10.1515/dmpt-2023-0024] [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: 03/29/2023] [Accepted: 04/28/2023] [Indexed: 09/16/2023]
Abstract
INTRODUCTION Medicinal plants and herbs are the most important part of the Ayurveda. The term Rasayana in Charaka Samhita confers long life, youthfulness, strong body, freedom from diseases and the plants mentioned in Rsayana possess antiaging property. Aging is the collective term used for the complex detrimental physiological changes that reduce the functional ability of the cell. Oxidative stress, telomeres shortening, inflammation, and mitochondrial dysfunction are the main factors that regulate the aging process. Chronological aging is an irreversible process but the factors causing biological aging can be controlled. Ayurvedic herbs are better for the management of age-related problems. There are several natural bioactive agents present in plants that can delay the aging process in humans. They trigger actions like enhancing gene longevity and telomerase activity, ROS scavenging furthermore regeneration of tissues. CONTENT The plants mentioned in the Rasayana of Ayurveda have antiaging potential and can be used to solve modern problems related to aging. Some Ayurvedic plants and their antiaging potential has explained in this review. The main causes of aging, medicinal plants and their use as potential antiaging mediator are covered in this study. SUMMARY The process of aging is still an enigma. It is a complex, irretrievable, dynamic process that involves a number of factors and is subject to a number of environmental and genetic influences. Rasayana aspect has not been much investigated in clinical trials. Aging is considered to result from free radical damage. According to Charaka, Rasayana drugs open the partially or fully blocked channels. Many Rasayanas show free radical scavenging activity and has the potential to mitigate the effects of aging. It gives an overview of the significance of Ayurvedic medicinal plants as a source of inspiration and the use of these plants as remedies for antiaging. OUTLOOK This study briefly outlooks the causes of aging and how medicinal plants can be used to reverse the aging process. In this study, we discussed the antiaging potential and mechanistic roles of Ayurvedic herbs. These herbs have the properties to slow down the natural process of aging and can successfully manage common age-related problems.
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Affiliation(s)
- Kirti Raina
- Department of Plant Sciences, School of Life Sciences, Central University of Himachal Pradesh, Kangra, Himachal Pradesh, India
| | - Ruchika Kumari
- Department of Plant Sciences, School of Life Sciences, Central University of Himachal Pradesh, Kangra, Himachal Pradesh, India
| | - Palak Thakur
- Department of Plant Sciences, School of Life Sciences, Central University of Himachal Pradesh, Kangra, Himachal Pradesh, India
| | - Rohit Sharma
- Department of Forest Products, College of Forestry, Dr. Yashwant Singh Parmar University of Horticulture and Forestry, Nauni, Solan, Himachal Pradesh, India
| | - Randeep Singh
- PG Department of Zoology, Khalsa College Amritsar, Amritsar, Punjab, India
| | - Abhinay Thakur
- PG Department of Zoology, DAV College Jalandhar, Jalandhar, Punjab, India
| | - Vikas Anand
- Department of Physics & Astronomical Sciences, Central University of Himachal Pradesh, Kangra, Himachal Pradesh, India
| | - Rohit Sharma
- Department of Rasa Shastra and Bhaishajya Kalpana, Faculty of Ayurveda, Institute of Medical Sciences, Banaras Hindu University, Varanasi, Uttar Pradesh, India
| | - Ashun Chaudhary
- Department of Plant Sciences, School of Life Sciences, Central University of Himachal Pradesh, Kangra, Himachal Pradesh, India
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Aziz T, Nadeem AA, Sarwar A, Perveen I, Hussain N, Khan AA, Daudzai Z, Cui H, Lin L. Particle Nanoarchitectonics for Nanomedicine and Nanotherapeutic Drugs with Special Emphasis on Nasal Drugs and Aging. Biomedicines 2023; 11:354. [PMID: 36830891 PMCID: PMC9953552 DOI: 10.3390/biomedicines11020354] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2022] [Revised: 01/18/2023] [Accepted: 01/19/2023] [Indexed: 01/28/2023] Open
Abstract
Aging is a multifunctional physiological manifestation. The nasal cavity is considered a major site for easy and cost-effective drug and vaccine administration, due to high permeability, low enzymatic activity, and the presence of a high number of immunocompetent cells. This review article primarily focuses on aging genetics, physical parameters, and the use of nanoparticles as delivery systems of drugs and vaccines via the nasal cavity. Studies have identified various genes involved in centenarian and average-aged people. VEGF is a key mediator involved in angiogenesis. Different therapeutic approaches induce vascular function and angiogenesis. FOLR1 gene codes for folate receptor alpha protein that helps in regulating the transport of vitamin B folate, 5-methyltetrahydrofolate and folate analogs inside the cell. This gene also aids in slowing the aging process down by cellular regeneration and promotes healthy aging by reducing aging symptoms. It has been found through the literature that GATA 6, Yamanaka factors, and FOLR1 work in synchronization to induce healthy and delayed aging. The role and applications of genes including CBS, CISD, SIRT 1, and SIRT 6 play a significant role in aging.
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Affiliation(s)
- Tariq Aziz
- School of Food & Biological Engineering, Jiangsu University, Zhenjiang 212013, China
| | - Abad Ali Nadeem
- Food and Biotechnology Research Centre, Pakistan Council of Scientific and Industrial Research Centre, Lahore 54590, Pakistan
| | - Abid Sarwar
- Food and Biotechnology Research Centre, Pakistan Council of Scientific and Industrial Research Centre, Lahore 54590, Pakistan
| | - Ishrat Perveen
- Food and Biotechnology Research Centre, Pakistan Council of Scientific and Industrial Research Centre, Lahore 54590, Pakistan
| | - Nageen Hussain
- Institute of Microbiology and Molecular Genetics, New Campus, University of the Punjab, Lahore 54590, Pakistan
| | - Ayaz Ali Khan
- Department of Biotechnology, University of Malakand, Chakdara 18800, Pakistan
| | - Zubaida Daudzai
- Department of Bioresources and Biotechnology, King Mongkut University of Technology, Bangkok 10140, Thailand
| | - Haiying Cui
- School of Food & Biological Engineering, Jiangsu University, Zhenjiang 212013, China
| | - Lin Lin
- School of Food & Biological Engineering, Jiangsu University, Zhenjiang 212013, China
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Balashova E, Trifonova O, Maslov D, Lichtenberg S, Lokhov P, Archakov A. Metabolome profiling in the study of aging processes. BIOMEDITSINSKAYA KHIMIYA 2022; 68:321-338. [DOI: 10.18097/pbmc20226805321] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Aging of a living organism is closely related to systemic metabolic changes. But due to the multilevel and network nature of metabolic pathways, it is difficult to understand these connections. Today, this problem is solved using one of the main approaches of metabolomics — untargeted metabolome profiling. The purpose of this publication is to systematize the results of metabolomic studies based on such profiling, both in animal models and in humans.
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Affiliation(s)
| | | | - D.L. Maslov
- Institute of Biomedical Chemistry, Moscow, Russia
| | | | - P.G. Lokhov
- Institute of Biomedical Chemistry, Moscow, Russia
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9
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Balashova EE, Maslov DL, Trifonova OP, Lokhov PG, Archakov AI. Metabolome Profiling in Aging Studies. BIOLOGY 2022; 11:1570. [PMID: 36358271 PMCID: PMC9687709 DOI: 10.3390/biology11111570] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/19/2022] [Revised: 10/18/2022] [Accepted: 10/24/2022] [Indexed: 06/07/2024]
Abstract
Organism aging is closely related to systemic metabolic changes. However, due to the multilevel and network nature of metabolic pathways, it is difficult to understand these connections. Today, scientists are trying to solve this problem using one of the main approaches of metabolomics-untargeted metabolome profiling. The purpose of this publication is to review metabolomic studies based on such profiling, both in animal models and in humans. This review describes metabolites that vary significantly across age groups and include carbohydrates, amino acids, carnitines, biogenic amines, and lipids. Metabolic pathways associated with the aging process are also shown, including those associated with amino acid, lipid, and energy metabolism. The presented data reveal the mechanisms of aging and can be used as a basis for monitoring biological age and predicting age-related diseases in the early stages of their development.
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Affiliation(s)
- Elena E. Balashova
- Institute of Biomedical Chemistry, Pogodinskaya St. 10, 119121 Moscow, Russia
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10
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Leonardsen EH, Peng H, Kaufmann T, Agartz I, Andreassen OA, Celius EG, Espeseth T, Harbo HF, Høgestøl EA, Lange AMD, Marquand AF, Vidal-Piñeiro D, Roe JM, Selbæk G, Sørensen Ø, Smith SM, Westlye LT, Wolfers T, Wang Y. Deep neural networks learn general and clinically relevant representations of the ageing brain. Neuroimage 2022; 256:119210. [PMID: 35462035 PMCID: PMC7614754 DOI: 10.1016/j.neuroimage.2022.119210] [Citation(s) in RCA: 29] [Impact Index Per Article: 14.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2021] [Revised: 03/16/2022] [Accepted: 04/11/2022] [Indexed: 12/17/2022] Open
Abstract
The discrepancy between chronological age and the apparent age of the brain based on neuroimaging data - the brain age delta - has emerged as a reliable marker of brain health. With an increasing wealth of data, approaches to tackle heterogeneity in data acquisition are vital. To this end, we compiled raw structural magnetic resonance images into one of the largest and most diverse datasets assembled (n=53542), and trained convolutional neural networks (CNNs) to predict age. We achieved state-of-the-art performance on unseen data from unknown scanners (n=2553), and showed that higher brain age delta is associated with diabetes, alcohol intake and smoking. Using transfer learning, the intermediate representations learned by our model complemented and partly outperformed brain age delta in predicting common brain disorders. Our work shows we can achieve generalizable and biologically plausible brain age predictions using CNNs trained on heterogeneous datasets, and transfer them to clinical use cases.
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Affiliation(s)
- Esten H Leonardsen
- Department of Psychology, University of Oslo, Oslo, Norway; Norwegian Centre for Mental Disorders Research (NORMENT), Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway.
| | - Han Peng
- Wellcome Centre for Integrative Neuroimaging (WIN FMRIB), University of Oxford, Oxford, OX3 9DU, United Kingdom
| | - Tobias Kaufmann
- Norwegian Centre for Mental Disorders Research (NORMENT), Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway; Department of Psychiatry and Psychotherapy, Tübingen Center for Mental Health, University of Tübingen, Germany
| | - Ingrid Agartz
- Norwegian Centre for Mental Disorders Research (NORMENT), Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway; Department of Psychiatric Research, Diakonhjemmet Hospital, Oslo, Norway; Centre for Psychiatry Research, Department of Clinical Neuroscience, Karolinska Institutet & Stockholm Health Care Services, Stockholm County Council, Stockholm, Sweden
| | - Ole A Andreassen
- Norwegian Centre for Mental Disorders Research (NORMENT), Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Elisabeth Gulowsen Celius
- Department of Neurology, Oslo University Hospital, Norway; Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Thomas Espeseth
- Department of Psychology, University of Oslo, Oslo, Norway; Department of Psychology, Bjørknes University College, Oslo, Norway
| | - Hanne F Harbo
- Department of Neurology, Oslo University Hospital, Norway; Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Einar A Høgestøl
- Department of Psychology, University of Oslo, Oslo, Norway; Norwegian Centre for Mental Disorders Research (NORMENT), Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway; Department of Neurology, Oslo University Hospital, Norway
| | - Ann-Marie de Lange
- Department of Psychology, University of Oslo, Oslo, Norway; LREN, Centre for Research in Neurosciences-Department of Clinical Neurosciences, CHUV and University of Lausanne, Lausanne, Switzerland; Department of Psychiatry, University of Oxford, Oxford, UK
| | - Andre F Marquand
- Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Centre, Nijmegen, Netherlands
| | | | - James M Roe
- Department of Psychology, University of Oslo, Oslo, Norway
| | - Geir Selbæk
- Norwegian National Advisory Unit on Aging and Health, Vestfold Hospital Trust, Tønsberg, Norway; Department of Geriatric Medicine, Oslo University Hospital, Oslo, Norway
| | | | - Stephen M Smith
- Wellcome Centre for Integrative Neuroimaging (WIN FMRIB), University of Oxford, Oxford, OX3 9DU, United Kingdom
| | - Lars T Westlye
- Department of Psychology, University of Oslo, Oslo, Norway; Norwegian Centre for Mental Disorders Research (NORMENT), Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway; KG Jebsen Center for Neurodevelopmental Disorders, University of Oslo, Oslo, Norway
| | - Thomas Wolfers
- Department of Psychology, University of Oslo, Oslo, Norway; Norwegian Centre for Mental Disorders Research (NORMENT), Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Yunpeng Wang
- Department of Psychology, University of Oslo, Oslo, Norway
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11
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Żelaźniewicz A, Nowak-Kornicka J, Osochocka A, Pawłowski B. Perceived facial age and biochemical indicators of glycemia in adult men and women. Sci Rep 2022; 12:10149. [PMID: 35710822 PMCID: PMC9203806 DOI: 10.1038/s41598-022-14555-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2022] [Accepted: 06/08/2022] [Indexed: 11/21/2022] Open
Abstract
Glycemia is linked with one of the key mechanisms underlying the aging process and inter-individual differences in biological age. Previous research showed that glucose level is linked with perceived age in elder individuals. This study aimed to verify if glycemia is related to perceived facial age in healthy adult individuals as interventions in younger and healthy cohorts are crucial for preventing the onset of age-related diseases. The study sample consisted of 116 healthy men of mean age 35.53 ± 3.54 years (29.95–44.29) and 163 healthy women of mean age 28.38 ± 2.40 (24.25–34.17) years. Glycemia was evaluated by fasting glucose, insulin, HOMA-IR, and glycated hemoglobin level. BMI, facial sexual dimorphism, estradiol, testosterone, and hsCRP levels were controlled. Perceived age was evaluated based on standardized facial photos in an online survey. Additionally perceived facial aging was calculated as a difference between perceived age and chronological age. No relationship between the levels of biochemical indicators of glycemia and perceived facial age or aging was found both in men and women, also when controlled for possible confounders. This study shows that perceived facial age in adult individuals is rather linked with body adiposity of sexual dimorphism but not with glycemic markers.
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Affiliation(s)
- Agnieszka Żelaźniewicz
- Department of Human Biology, University of Wrocław, Ul. Przybyszewskiego 63, 51-148, Wrocław, Poland.
| | - Judyta Nowak-Kornicka
- Department of Human Biology, University of Wrocław, Ul. Przybyszewskiego 63, 51-148, Wrocław, Poland
| | - Adriana Osochocka
- Department of Human Biology, University of Wrocław, Ul. Przybyszewskiego 63, 51-148, Wrocław, Poland
| | - Bogusław Pawłowski
- Department of Human Biology, University of Wrocław, Ul. Przybyszewskiego 63, 51-148, Wrocław, Poland
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12
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Husted KLS, Brink-Kjær A, Fogelstrøm M, Hulst P, Bleibach A, Henneberg KÅ, Sørensen HBD, Dela F, Jacobsen JCB, Helge JW. A Model for Estimating Biological Age From Physiological Biomarkers of Healthy Aging: Cross-sectional Study. JMIR Aging 2022; 5:e35696. [PMID: 35536617 PMCID: PMC9131142 DOI: 10.2196/35696] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2021] [Revised: 03/21/2022] [Accepted: 04/06/2022] [Indexed: 12/25/2022] Open
Abstract
BACKGROUND Individual differences in the rate of aging and susceptibility to disease are not accounted for by chronological age alone. These individual differences are better explained by biological age, which may be estimated by biomarker prediction models. In the light of the aging demographics of the global population and the increase in lifestyle-related morbidities, it is interesting to invent a new biological age model to be used for health promotion. OBJECTIVE This study aims to develop a model that estimates biological age based on physiological biomarkers of healthy aging. METHODS Carefully selected physiological variables from a healthy study population of 100 women and men were used as biomarkers to establish an estimate of biological age. Principal component analysis was applied to the biomarkers and the first principal component was used to define the algorithm estimating biological age. RESULTS The first principal component accounted for 31% in women and 25% in men of the total variance in the biological age model combining mean arterial pressure, glycated hemoglobin, waist circumference, forced expiratory volume in 1 second, maximal oxygen consumption, adiponectin, high-density lipoprotein, total cholesterol, and soluble urokinase-type plasminogen activator receptor. The correlation between the corrected biological age and chronological age was r=0.86 (P<.001) and r=0.81 (P<.001) for women and men, respectively, and the agreement was high and unbiased. No difference was found between mean chronological age and mean biological age, and the slope of the regression line was near 1 for both sexes. CONCLUSIONS Estimating biological age from these 9 biomarkers of aging can be used to assess general health compared with the healthy aging trajectory. This may be useful to evaluate health interventions and as an aid to enhance awareness of individual health risks and behavior when deviating from this trajectory. TRIAL REGISTRATION ClinicalTrials.gov NCT03680768; https://clinicaltrials.gov/ct2/show/NCT03680768. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID) RR2-10.2196/19209.
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Affiliation(s)
- Karina Louise Skov Husted
- Xlab, Center for Healthy Aging, Department of Biomedical Sciences, University of Copenhagen, Copenhagen, Denmark.,Department of Physiotherapy and Occupational Therapy, University College Copenhagen, Copenhagen, Denmark
| | - Andreas Brink-Kjær
- Digital Health, Department of Health Technology, Technical University of Denmark, Lyngby, Denmark
| | - Mathilde Fogelstrøm
- Xlab, Center for Healthy Aging, Department of Biomedical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Pernille Hulst
- Xlab, Center for Healthy Aging, Department of Biomedical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Akita Bleibach
- Xlab, Center for Healthy Aging, Department of Biomedical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Kaj-Åge Henneberg
- Biomedical Engineering, Department of Health Technology, Technical University of Denmark, Lyngby, Denmark
| | | | - Flemming Dela
- Xlab, Center for Healthy Aging, Department of Biomedical Sciences, University of Copenhagen, Copenhagen, Denmark.,Department of Geriatrics, Bispebjerg and Frederiksberg Hospital, Copenhagen, Denmark
| | - Jens Christian Brings Jacobsen
- Department of Biomedical Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Jørn Wulff Helge
- Xlab, Center for Healthy Aging, Department of Biomedical Sciences, University of Copenhagen, Copenhagen, Denmark
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13
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McKenzie BA, Chen FL, Gruen ME, Olby NJ. Canine Geriatric Syndrome: A Framework for Advancing Research in Veterinary Geroscience. Front Vet Sci 2022; 9:853743. [PMID: 35529834 PMCID: PMC9069128 DOI: 10.3389/fvets.2022.853743] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2022] [Accepted: 03/23/2022] [Indexed: 12/26/2022] Open
Abstract
Biological aging is the single most important risk factor for disease, disability, and ultimately death in geriatric dogs. The effects of aging in companion dogs also impose significant financial and psychological burdens on their human caregivers. The underlying physiologic processes of canine aging may be occult, or early signs of aging may be ignored because of the misconception that biological aging is natural and therefore inevitable. The ability to detect, quantify, and mitigate the deleterious processes of canine aging would greatly enhance veterinary preventative medicine and animal welfare. In this paper we propose a new conceptual framework for aging in dogs, the Canine Geriatric Syndrome (CGS). CGS consists of the multiple, interrelated physical, functional, behavioral, and metabolic changes that characterize canine aging as well as the resulting clinical manifestations, including frailty, diminished quality of life, and age-associated disease. We also identify potential key components of a CGS assessment tool, a clinical instrument that would enable veterinarians to diagnose CGS and would facilitate the development and testing of interventions to prolong healthspan and lifespan in dogs by directly targeting the biological mechanisms of aging. There are many gaps in our knowledge of the mechanisms and phenotype of aging in dogs that must be bridged before a CGS assessment tool can be deployed. The conceptual framework of CGS should facilitate identifying these gaps and should stimulate research to better characterize the processes and effects of aging in dogs and to identify the most promising preventative strategies to target these.
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Affiliation(s)
| | - Frances L. Chen
- Cellular Longevity Inc., dba Loyal, San Francisco, CA, United States
| | - Margaret E. Gruen
- College of Veterinary Medicine, North Carolina State University, Raleigh, NC, United States
| | - Natasha J. Olby
- College of Veterinary Medicine, North Carolina State University, Raleigh, NC, United States
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14
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Vegetables and Their Bioactive Compounds as Anti-Aging Drugs. Molecules 2022; 27:molecules27072316. [PMID: 35408714 PMCID: PMC9000296 DOI: 10.3390/molecules27072316] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2022] [Revised: 03/26/2022] [Accepted: 03/28/2022] [Indexed: 12/27/2022] Open
Abstract
Aging is a continuous process over time that is mainly related to natural alterations in mechanical–biological processes. This phenomenon is due to several factors, including the time and energy of biological processes. Aging can be attributed to biological factors such as oxidative stress, cell longevity, and stem cell senescence. Currently, aging is associated with several diseases, such as neurodegenerative diseases, cancer, and other diseases related to oxidative stress. In addition, certain natural molecules, including those derived from vegetables, have shown the ability to delay the aging process. Their effects are linked to different mechanisms of action, such as tissue regeneration and the activation of longevity and anti-senescence genes. The present work discusses the impact of vegetables, and bioactive compounds isolated from vegetables, against the physiological and pathological aging process and accompanying human diseases.
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15
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Mach J, Kane AE, Howlett SE, Sinclair DA, Hilmer SN. Applying the AFRAID and FRIGHT clocks to novel preclinical mouse models of polypharmacy. J Gerontol A Biol Sci Med Sci 2022; 77:1304-1312. [PMID: 35313348 PMCID: PMC9255695 DOI: 10.1093/gerona/glac067] [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: 07/05/2021] [Indexed: 11/28/2022] Open
Abstract
The Frailty Inferred Geriatric Health Timeline (FRIGHT) and Analysis of Frailty and Death (AFRAID) clocks were developed to predict biological age and lifespan, respectively, in mice. Their utility within the context of polypharmacy (≥5 medications), which is very common in older adults, is unknown. In male C57BL/6J(B6) mice administered chronic polypharmacy, monotherapy, and undergoing treatment cessation (deprescribing), we aimed to compare these clocks between treatment groups; investigate whether treatment affected correlation of these clocks with mortality; and explore factors that may explain variation in predictive performance. Treatment (control, polypharmacy, or monotherapy) commenced from age 12 months. At age 21 months, each treatment group was subdivided to continue treatment or have it deprescribed. Frailty index was assessed and informed calculation of the clocks. AFRAID, FRIGHT, frailty index, and mortality age did not differ between continued treatment groups and control. Compared to continued treatment, deprescribing some treatments had inconsistent negative impacts on some clocks and mortality. FRIGHT and frailty index, but not AFRAID, were associated with mortality. The bias and precision of AFRAID as a predictor of mortality varied between treatment groups. Effects of deprescribing some drugs on elements of the clocks, particularly on weight loss, contributed to bias. Overall, in this cohort, FRIGHT and AFRAID measures identified no treatment effects and limited deprescribing effects (unsurprising as very few effects on frailty or mortality), with variable prediction of mortality. These clocks have utility, but context is important. Future work should refine them for intervention studies to reduce bias from specific intervention effects.
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Affiliation(s)
- John Mach
- Laboratory of Ageing and Pharmacology, Kolling Institute of Medical Research, Faculty of Medicine and Health, The University of Sydney and Royal North Shore Hospital, St Leonards, New South Wales, Australia
| | - Alice E Kane
- Blavatnik Institute, Dept. of Genetics, Paul F. Glenn Center for Biology of Aging Research at Harvard Medical School, Boston, MA
| | - Susan E Howlett
- Departments of Pharmacology and Medicine (Geriatric Medicine), Dalhousie University, Halifax, Canada
| | - David A Sinclair
- Blavatnik Institute, Dept. of Genetics, Paul F. Glenn Center for Biology of Aging Research at Harvard Medical School, Boston, MA
| | - Sarah N Hilmer
- Laboratory of Ageing and Pharmacology, Kolling Institute of Medical Research, Faculty of Medicine and Health, The University of Sydney and Royal North Shore Hospital, St Leonards, New South Wales, Australia
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16
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Shalnova SA, Imaeva NA, Imaeva AE, Kapustina AV. Aging Challenges. Perceived Age – a New Predictor of Longevity? RATIONAL PHARMACOTHERAPY IN CARDIOLOGY 2022. [DOI: 10.20996/1819-6446-2022-02-06] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
Abstract
The ageing process is accompanied by the manifestation of many characteristics, so-called biomarkers, which can be quantified and used to assess a patient's health status. One of these signs is the progressive decline of a human's facial look, which is described by the concept of 'perceived age'. Facial aging is the most important parameter of perceived age. However, over the years, researchers have identified risk factors that affect the facial skin, including smoking, systematic consumption of alcoholic beverages, overweight or underweight, environmental conditions, and psychosocial determinants. The influence of psychological state on the appearance and life prognosis is shown. The authors presented data from the international literature on the study of perceived age. The frontiers of using perceived age as a biomarker of aging were Danish scientists who developed the main methodological approaches to determine this indicator. One such methodology used in population studies has been the clinical technique of assessing perceived age through photography. The review presents this methodology in detail, with its advantages and modifications. The authors conclude that the measurement of an individual's perceived age can serve not only as a prognostic indicator, but also over time can become a useful marker of the effectiveness of various treatments. Until now perceived age has hardly been studied in population studies, the authors presented data from the works of V.A. Labunskaya, G.V. Serikov, T.A. Shkurko who develop the direction related to psychology of perceived age and in their studies use social-psychological approaches of appearance assessment.
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Affiliation(s)
- S. A. Shalnova
- National Medical Research Center for Therapy and Preventive Medicine
| | | | - A. E. Imaeva
- National Medical Research Center for Therapy and Preventive Medicine
| | - A. V. Kapustina
- National Medical Research Center for Therapy and Preventive Medicine
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17
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Di Cesare F, Luchinat C, Tenori L, Saccenti E. Age and sex dependent changes of free circulating blood metabolite and lipid abundances, correlations and ratios. J Gerontol A Biol Sci Med Sci 2021; 77:918-926. [PMID: 34748631 PMCID: PMC9071469 DOI: 10.1093/gerona/glab335] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2021] [Indexed: 11/24/2022] Open
Abstract
In this study, we investigated how the concentrations, pairwise correlations and ratios of 202 free circulating blood metabolites and lipids vary with age in a panel of n = 1 882 participants with an age range from 48 to 94 years. We report a statistically significant sex-dependent association with age of a panel of metabolites and lipids involving, in women, linoleic acid, α-linoleic acid, and carnitine, and, in men, monoacylglycerols and lysophosphatidylcholines. Evaluating the association of correlations among metabolites and/or lipids with age, we found that phosphatidylcholines correlations tend to have a positive trend associated with age in women, and monoacylglycerols and lysophosphatidylcholines correlations tend to have a negative trend associated with age in men. The association of ratio between molecular features with age reveals that decanoyl-l-carnitine/lysophosphatidylcholine ratio in women “decrease” with age, while l-carnitine/phosphatidylcholine and l-acetylcarnitine/phosphatidylcholine ratios in men “increase” with age. These results suggest an age-dependent remodeling of lipid metabolism that induces changes in cell membrane bilayer composition and cell cycle mechanisms. Furthermore, we conclude that lipidome is directly involved in this age-dependent differentiation. Our results demonstrate that, using a comprehensive approach focused on the changes of concentrations and relationships of blood metabolites and lipids, as expressed by their correlations and ratios, it is possible to obtain relevant information about metabolic dynamics associated with age.
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Affiliation(s)
- Francesca Di Cesare
- Magnetic Resonance Center (CERM), University of Florence, Via Luigi Sacconi, Sesto Fiorentino, Firenze, Italy
| | - Claudio Luchinat
- Magnetic Resonance Center (CERM), University of Florence, Via Luigi Sacconi, Sesto Fiorentino, Firenze, Italy.,Department of Chemistry "Ugo Schiff", University of Florence, Via della Lastruccia, Sesto Fiorentino, Italy
| | - Leonardo Tenori
- Magnetic Resonance Center (CERM), University of Florence, Via Luigi Sacconi, Sesto Fiorentino, Firenze, Italy.,Department of Chemistry "Ugo Schiff", University of Florence, Via della Lastruccia, Sesto Fiorentino, Italy
| | - Edoardo Saccenti
- Laboratory of Systems and Synthetic Biology, Wageningen University & Research, Stippeneng, Wageningen, the Netherlands
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18
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Esposito S, Gialluisi A, Costanzo S, Di Castelnuovo A, Ruggiero E, De Curtis A, Persichillo M, Cerletti C, Donati MB, de Gaetano G, Iacoviello L, Bonaccio M. Dietary Polyphenol Intake Is Associated with Biological Aging, a Novel Predictor of Cardiovascular Disease: Cross-Sectional Findings from the Moli-Sani Study. Nutrients 2021; 13:1701. [PMID: 34067821 PMCID: PMC8157169 DOI: 10.3390/nu13051701] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2021] [Revised: 05/12/2021] [Accepted: 05/12/2021] [Indexed: 12/11/2022] Open
Abstract
Biological aging, or the discrepancy between biological and chronological age of a subject (Δage), has been associated with a polyphenol-rich Mediterranean diet and represents a new, robust indicator of cardiovascular disease risk. We aimed to disentangle the relationship of dietary polyphenols and total antioxidant capacity with Δage in a cohort of Italians. A cross-sectional analysis was performed on a sub-cohort of 4592 subjects (aged ≥ 35 y; 51.8% women) from the Moli-sani Study (2005-2010). Food intake was recorded by a 188-item food-frequency questionnaire. The polyphenol antioxidant content (PAC)-score was constructed to assess the total dietary content of polyphenols. Total antioxidant capacity was measured in foods by these assays: trolox equivalent antioxidant capacity (TEAC), total radical-trapping antioxidant parameter (TRAP) and ferric reducing-antioxidant power (FRAP). A deep neural network, based on 36 circulating biomarkers, was used to compute biological age and the resulting Δage, which was tested as outcome in multivariable-adjusted linear regressions. Δage was inversely associated with the PAC-score (β = -0.31; 95%CI -0.39, -0.24) but not with total antioxidant capacity of the diet. A diet rich in polyphenols, by positively contributing to deceleration of the biological aging process, may exert beneficial effects on the long-term risk of cardiovascular disease and possibly of bone health.
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Affiliation(s)
- Simona Esposito
- Department of Epidemiology and Prevention, IRCCS Neuromed, via dell’Elettronica, 86077 Pozzilli, Italy; (S.E.); (A.G.); (S.C.); (E.R.); (A.D.C.); (M.P.); (C.C.); (M.B.D.); (G.d.G.); (M.B.)
| | - Alessandro Gialluisi
- Department of Epidemiology and Prevention, IRCCS Neuromed, via dell’Elettronica, 86077 Pozzilli, Italy; (S.E.); (A.G.); (S.C.); (E.R.); (A.D.C.); (M.P.); (C.C.); (M.B.D.); (G.d.G.); (M.B.)
| | - Simona Costanzo
- Department of Epidemiology and Prevention, IRCCS Neuromed, via dell’Elettronica, 86077 Pozzilli, Italy; (S.E.); (A.G.); (S.C.); (E.R.); (A.D.C.); (M.P.); (C.C.); (M.B.D.); (G.d.G.); (M.B.)
| | | | - Emilia Ruggiero
- Department of Epidemiology and Prevention, IRCCS Neuromed, via dell’Elettronica, 86077 Pozzilli, Italy; (S.E.); (A.G.); (S.C.); (E.R.); (A.D.C.); (M.P.); (C.C.); (M.B.D.); (G.d.G.); (M.B.)
| | - Amalia De Curtis
- Department of Epidemiology and Prevention, IRCCS Neuromed, via dell’Elettronica, 86077 Pozzilli, Italy; (S.E.); (A.G.); (S.C.); (E.R.); (A.D.C.); (M.P.); (C.C.); (M.B.D.); (G.d.G.); (M.B.)
| | - Mariarosaria Persichillo
- Department of Epidemiology and Prevention, IRCCS Neuromed, via dell’Elettronica, 86077 Pozzilli, Italy; (S.E.); (A.G.); (S.C.); (E.R.); (A.D.C.); (M.P.); (C.C.); (M.B.D.); (G.d.G.); (M.B.)
| | - Chiara Cerletti
- Department of Epidemiology and Prevention, IRCCS Neuromed, via dell’Elettronica, 86077 Pozzilli, Italy; (S.E.); (A.G.); (S.C.); (E.R.); (A.D.C.); (M.P.); (C.C.); (M.B.D.); (G.d.G.); (M.B.)
| | - Maria Benedetta Donati
- Department of Epidemiology and Prevention, IRCCS Neuromed, via dell’Elettronica, 86077 Pozzilli, Italy; (S.E.); (A.G.); (S.C.); (E.R.); (A.D.C.); (M.P.); (C.C.); (M.B.D.); (G.d.G.); (M.B.)
| | - Giovanni de Gaetano
- Department of Epidemiology and Prevention, IRCCS Neuromed, via dell’Elettronica, 86077 Pozzilli, Italy; (S.E.); (A.G.); (S.C.); (E.R.); (A.D.C.); (M.P.); (C.C.); (M.B.D.); (G.d.G.); (M.B.)
| | - Licia Iacoviello
- Department of Epidemiology and Prevention, IRCCS Neuromed, via dell’Elettronica, 86077 Pozzilli, Italy; (S.E.); (A.G.); (S.C.); (E.R.); (A.D.C.); (M.P.); (C.C.); (M.B.D.); (G.d.G.); (M.B.)
- Department of Medicine and Surgery, Research Center in Epidemiology and Preventive Medicine (EPIMED), University of Insubria, 21100 Varese-Como, Italy
| | - Marialaura Bonaccio
- Department of Epidemiology and Prevention, IRCCS Neuromed, via dell’Elettronica, 86077 Pozzilli, Italy; (S.E.); (A.G.); (S.C.); (E.R.); (A.D.C.); (M.P.); (C.C.); (M.B.D.); (G.d.G.); (M.B.)
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19
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Angarola BL, Anczuków O. Splicing alterations in healthy aging and disease. WILEY INTERDISCIPLINARY REVIEWS. RNA 2021. [PMID: 33565261 DOI: 10.1002/wrna.1643.] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
Alternative RNA splicing is a key step in gene expression that allows generation of numerous messenger RNA transcripts encoding proteins of varied functions from the same gene. It is thus a rich source of proteomic and functional diversity. Alterations in alternative RNA splicing are observed both during healthy aging and in a number of human diseases, several of which display premature aging phenotypes or increased incidence with age. Age-associated splicing alterations include differential splicing of genes associated with hallmarks of aging, as well as changes in the levels of core spliceosomal genes and regulatory splicing factors. Here, we review the current known links between alternative RNA splicing, its regulators, healthy biological aging, and diseases associated with aging or aging-like phenotypes. This article is categorized under: RNA in Disease and Development > RNA in Disease RNA Processing > Splicing Regulation/Alternative Splicing.
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Affiliation(s)
| | - Olga Anczuków
- The Jackson Laboratory for Genomic Medicine, Farmington, Connecticut, USA.,Department of Genetics and Genome Sciences, UConn Health, Farmington, Connecticut, USA.,Institute for Systems Genomics, UConn Health, Farmington, Connecticut, USA
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20
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Angarola BL, Anczuków O. Splicing alterations in healthy aging and disease. WILEY INTERDISCIPLINARY REVIEWS-RNA 2021; 12:e1643. [PMID: 33565261 DOI: 10.1002/wrna.1643] [Citation(s) in RCA: 27] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/31/2020] [Revised: 01/05/2021] [Accepted: 01/07/2021] [Indexed: 12/19/2022]
Abstract
Alternative RNA splicing is a key step in gene expression that allows generation of numerous messenger RNA transcripts encoding proteins of varied functions from the same gene. It is thus a rich source of proteomic and functional diversity. Alterations in alternative RNA splicing are observed both during healthy aging and in a number of human diseases, several of which display premature aging phenotypes or increased incidence with age. Age-associated splicing alterations include differential splicing of genes associated with hallmarks of aging, as well as changes in the levels of core spliceosomal genes and regulatory splicing factors. Here, we review the current known links between alternative RNA splicing, its regulators, healthy biological aging, and diseases associated with aging or aging-like phenotypes. This article is categorized under: RNA in Disease and Development > RNA in Disease RNA Processing > Splicing Regulation/Alternative Splicing.
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Affiliation(s)
| | - Olga Anczuków
- The Jackson Laboratory for Genomic Medicine, Farmington, Connecticut, USA.,Department of Genetics and Genome Sciences, UConn Health, Farmington, Connecticut, USA.,Institute for Systems Genomics, UConn Health, Farmington, Connecticut, USA
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21
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Wang Y, Wang G, Jing R, Hu T, Likhodii S, Sun G, Randell E, Jia G, Yu T, Zhang W. Metabolomics analysis of human plasma metabolites reveals the age- and sex-specific associations. J LIQ CHROMATOGR R T 2019. [DOI: 10.1080/10826076.2019.1701016] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
Affiliation(s)
- Yixiao Wang
- School of Pharmaceutical Sciences, Jilin University, Changchun, Jilin, P. R. China
| | - Guangshu Wang
- School of Pharmaceutical Sciences, Jilin University, Changchun, Jilin, P. R. China
| | - Ru’nan Jing
- School of Pharmaceutical Sciences, Jilin University, Changchun, Jilin, P. R. China
| | - Ting Hu
- Department of Computer Science, Memorial University, St John’s, Canada
| | - Sergei Likhodii
- Provincial Toxicology Centre, Provincial Health Services Authority, Vancouver, Canada
| | - Guang Sun
- Faculty of Medicine, Discipline of Medicine, Memorial University, St. John’s, Canada
| | - Edward Randell
- Faculty of Medicine, Department of Laboratory Medicine, Memorial University, St. John’s, Canada
| | - Guihua Jia
- School of Pharmaceutical Sciences, Jilin University, Changchun, Jilin, P. R. China
| | - Tianmiao Yu
- School of Pharmaceutical Sciences, Jilin University, Changchun, Jilin, P. R. China
| | - Weidong Zhang
- School of Pharmaceutical Sciences, Jilin University, Changchun, Jilin, P. R. China
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22
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Balliu B, Durrant M, Goede OD, Abell N, Li X, Liu B, Gloudemans MJ, Cook NL, Smith KS, Knowles DA, Pala M, Cucca F, Schlessinger D, Jaiswal S, Sabatti C, Lind L, Ingelsson E, Montgomery SB. Genetic regulation of gene expression and splicing during a 10-year period of human aging. Genome Biol 2019; 20:230. [PMID: 31684996 PMCID: PMC6827221 DOI: 10.1186/s13059-019-1840-y] [Citation(s) in RCA: 26] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2019] [Accepted: 09/27/2019] [Indexed: 12/12/2022] Open
Abstract
BACKGROUND Molecular and cellular changes are intrinsic to aging and age-related diseases. Prior cross-sectional studies have investigated the combined effects of age and genetics on gene expression and alternative splicing; however, there has been no long-term, longitudinal characterization of these molecular changes, especially in older age. RESULTS We perform RNA sequencing in whole blood from the same individuals at ages 70 and 80 to quantify how gene expression, alternative splicing, and their genetic regulation are altered during this 10-year period of advanced aging at a population and individual level. We observe that individuals are more similar to their own expression profiles later in life than profiles of other individuals their own age. We identify 1291 and 294 genes differentially expressed and alternatively spliced with age, as well as 529 genes with outlying individual trajectories. Further, we observe a strong correlation of genetic effects on expression and splicing between the two ages, with a small subset of tested genes showing a reduction in genetic associations with expression and splicing in older age. CONCLUSIONS These findings demonstrate that, although the transcriptome and its genetic regulation is mostly stable late in life, a small subset of genes is dynamic and is characterized by a reduction in genetic regulation, most likely due to increasing environmental variance with age.
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Affiliation(s)
- Brunilda Balliu
- Department of Pathology, Stanford University School of Medicine, Stanford, USA.
| | - Matthew Durrant
- Department of Genetics, Stanford University School of Medicine, Stanford, USA
| | - Olivia de Goede
- Department of Genetics, Stanford University School of Medicine, Stanford, USA
| | - Nathan Abell
- Department of Genetics, Stanford University School of Medicine, Stanford, USA
| | - Xin Li
- Department of Pathology, Stanford University School of Medicine, Stanford, USA
| | - Boxiang Liu
- Department of Biology, Stanford University School of Medicine, Stanford, USA
| | | | - Naomi L Cook
- Department of Medical Sciences, Uppsala University, Uppsala, Sweden
| | - Kevin S Smith
- Department of Pathology, Stanford University School of Medicine, Stanford, USA
| | | | - Mauro Pala
- Dipartimento di Scienze Biomediche, Universita di Sassari, Sassari, Italy
| | - Francesco Cucca
- Dipartimento di Scienze Biomediche, Universita di Sassari, Sassari, Italy
| | | | - Siddhartha Jaiswal
- Department of Pathology, Stanford University School of Medicine, Stanford, USA
| | - Chiara Sabatti
- Department of Biomedical Data Science, Stanford University School of Medicine, Stanford, USA
| | - Lars Lind
- Department of Medical Sciences, Uppsala University, Uppsala, Sweden
| | - Erik Ingelsson
- Department of Medicine, Division of Cardiovascular Medicine, Stanford University School of Medicine, Stanford, USA.
- Stanford Cardiovascular Institute, Stanford University, Stanford, USA.
- Stanford Diabetes Research Center, Stanford University, Stanford, USA.
| | - Stephen B Montgomery
- Department of Pathology, Stanford University School of Medicine, Stanford, USA.
- Department of Genetics, Stanford University School of Medicine, Stanford, USA.
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23
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Montano M, Bhasin S, D'Aquila RT, Erlandson KM, Evans WJ, Funderburg NT, Justice A, Ndhlovu LC, Ojikutu B, Pahor M, Pahwa S, Ryan AS, Schrack J, Schultz MB, Sebastiani P, Sinclair DA, Tripp J, Walker B, Womack JA, Yung R, Reeves RK. Harvard HIV and Aging Workshop: Perspectives and Priorities from Claude D. Pepper Centers and Centers for AIDS Research. AIDS Res Hum Retroviruses 2019; 35:999-1012. [PMID: 31456412 DOI: 10.1089/aid.2019.0130] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022] Open
Abstract
People aging with HIV (PAWH) infection experience greater impairments in physical and cognitive function, in addition to higher rates of peripheral comorbid conditions (e.g., renal failure, diabetes, bone fracture, hypertension, cardiovascular disease, polypharmacy, and multimorbidity). While multifactorial drivers, including HIV infection itself, antiretroviral therapy-related toxicities, disparities in care, and biobehavioral factors, likely contribute, there remains an overarching question as to what are the relevant age-related mechanisms and models that could inform interventions that promote health span and life span in PAWH? This workshop was convened to hear from experts on the biology of aging and HIV researchers studying PAWH to focus on advancing investigations at the interface of HIV and Aging. In this study, we summarize the discussions from the Harvard Center for AIDS Research and Boston Claude D. Pepper cosponsored workshop on HIV and Aging, which took place in October 2018.
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Affiliation(s)
- Monty Montano
- Boston Pepper OAIC, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
- Men's Health: Aging and Metabolism, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
| | - Shalender Bhasin
- Boston Pepper OAIC, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
- Men's Health: Aging and Metabolism, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
| | | | | | - William J Evans
- Department of Nutritional Sciences and Toxicology, University of California, Berkeley, California
| | - Nicholas T Funderburg
- Division of Medical Laboratory Science, School of Health and Rehabilitation Sciences, Ohio State University, Columbus, Ohio
| | - Amy Justice
- Department of Medicine, Yale University School of Medicine, New Haven, Connecticut
- VA Connecticut Healthcare System, West Haven, Connecticut
| | - Lishomwa C Ndhlovu
- Department of Tropical Medicine, Medical Microbiology and Pharmacology, John A. Burns School of Medicine, University of Hawaii at Manoa, Honolulu, Hawaii
| | - Bisola Ojikutu
- Division of Global Health Equity, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
| | - Marco Pahor
- Institute on Aging, Department of Aging and Geriatric Research, College of Medicine, University of Florida, Gainesville, Florida
| | - Savita Pahwa
- Department of Microbiology and Immunology, Miller School of Medicine, University of Miami, Miami, Florida
| | - Alice S Ryan
- Division of Gerontology and Geriatric Medicine, Department of Medicine, University of Maryland School of Medicine, Baltimore, Maryland
- Baltimore Veterans Affairs Geriatric Research Education and Clinical Center and Research and Development Service, Baltimore, Maryland
| | - Jennifer Schrack
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
| | - Michael B Schultz
- Department of Genetics, Paul F. Glenn Labs for the Biology of Aging, Blavatnik Institute, Harvard Medical School, Boston, Massachusetts
| | - Paola Sebastiani
- Department of Biostatistics, Boston University, Boston, Massachusetts
| | - David A Sinclair
- Department of Genetics, Paul F. Glenn Labs for the Biology of Aging, Blavatnik Institute, Harvard Medical School, Boston, Massachusetts
| | - Julia Tripp
- Harvard University Center for AIDS Research, Cambridge, Massachusetts
| | - Bruce Walker
- Ragon Institute of MGH, MIT and Harvard, Cambridge, Massachusetts
| | - Julie A Womack
- VA Connecticut Healthcare System, West Haven, Connecticut
- Yale School of Nursing, West Haven, Connecticut
| | - Raymond Yung
- Division of Geriatric and Palliative Medicine, Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan
| | - R Keith Reeves
- Ragon Institute of MGH, MIT and Harvard, Cambridge, Massachusetts
- Center for Virology and Vaccine Research, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts
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24
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Smith JA, Raisky J, Ratliff SM, Liu J, Kardia SLR, Turner ST, Mosley TH, Zhao W. Intrinsic and extrinsic epigenetic age acceleration are associated with hypertensive target organ damage in older African Americans. BMC Med Genomics 2019; 12:141. [PMID: 31640709 PMCID: PMC6806502 DOI: 10.1186/s12920-019-0585-5] [Citation(s) in RCA: 26] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2018] [Accepted: 09/11/2019] [Indexed: 12/22/2022] Open
Abstract
Background Epigenetic age acceleration, a measure of biological aging based on DNA methylation, is associated with cardiovascular mortality. However, little is known about its relationship with hypertensive target organ damage to the heart, kidneys, brain, and peripheral arteries. Methods We investigated associations between intrinsic (IEAA) or extrinsic (EEAA) epigenetic age acceleration, blood pressure, and six types of organ damage in a primarily hypertensive cohort of 1390 African Americans from the Genetic Epidemiology Network of Arteriopathy (GENOA) study. DNA methylation from peripheral blood leukocytes was collected at baseline (1996–2000), and measures of target organ damage were assessed in a follow-up visit (2000–2004). Linear regression with generalized estimating equations was used to test for associations between epigenetic age acceleration and target organ damage, as well as effect modification of epigenetic age by blood pressure or sex. Sequential Oligogenic Linkage Analysis Routines (SOLAR) was used to test for evidence of shared genetic and/or environmental effects between epigenetic age acceleration and organ damage pairs that were significantly associated. Results After adjustment for sex, chronological age, and time between methylation and organ damage measures, higher IEAA was associated with higher urine albumin to creatinine ratio (UACR, p = 0.004), relative wall thickness (RWT, p = 0.022), and left ventricular mass index (LVMI, p = 0.007), and with lower ankle-brachial index (ABI, p = 0.014). EEAA was associated with higher LVMI (p = 0.005). Target organ damage associations for all but IEAA with LVMI remained significant after further adjustment for blood pressure and antihypertensive use (p < 0.05). Further adjustment for diabetes attenuated the IEAA associations with UACR and RWT, and adjustment for smoking attenuated the IEAA association with ABI. No effect modification by age or sex was observed. Conclusions Measures of epigenetic age acceleration may help to better characterize the functional mechanisms underlying organ damage from cellular aging and/or hypertension. These measures may act as subclinical biomarkers for damage to the kidney, heart, and peripheral vasculature; however more research is needed to determine whether these relationships remain independent of lifestyle factors and comorbidities.
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Affiliation(s)
- Jennifer A Smith
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, 48109, USA. .,Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, MI, 48104, USA.
| | - Jeremy Raisky
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, 48109, USA
| | - Scott M Ratliff
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, 48109, USA
| | - Jiaxuan Liu
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, 48109, USA
| | - Sharon L R Kardia
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, 48109, USA
| | - Stephen T Turner
- Division of Nephrology and Hypertension, Mayo Clinic, Rochester, MN, 55905, USA
| | - Thomas H Mosley
- Memory Impairment and Neurodegenerative Dementia (MIND) Center, University of Mississippi Medical Center, Jackson, MS, 39126, USA
| | - Wei Zhao
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, 48109, USA
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25
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Huang Y, Wu S, Zhang J, Wen H, Zhang M, He F. Methylation status and expression patterns of myomaker gene play important roles in postnatal development in the Japanese flounder (Paralichthys olivaceus). Gen Comp Endocrinol 2019; 280:104-114. [PMID: 31002826 DOI: 10.1016/j.ygcen.2019.04.017] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/10/2018] [Revised: 02/28/2019] [Accepted: 04/16/2019] [Indexed: 01/01/2023]
Abstract
Myomaker is a membrane protein that plays a crucial role in the fusion of myoblasts during muscle growth. DNA methylation, a significant factor, regulates gene expression. The aim of this study was to examine the methylation and mRNA expression patterns of the myomaker gene during 8 different postnatal developmental stages in the Japanese flounder (L: 7 days post hatch (dph); M1: 21 dph; M2: 28 dph; M3: 35 dph; J1: 90 dph; J2: 180 dph; A1: 24 months; A2: 36 months). Muscle tissue samples were taken from Japanese flounder at different postnatal development stages to measure the extent of DNA methylation and gene expression. Methylation level in the promoter and exon 1 of myomaker was measured using bisulfite sequencing, and the relative expression of myomaker during each developmental stage was measured by quantitative PCR. The relative expression levels of myomaker were up-regulated from stages L to M2, M3 to J2, and methylation of myomaker was negatively correlated with mRNA expression. Furthermore, the CpG site located at -26 bp in the promoter was the lowest methylated region in all developmental stages. These results offer a basis for understanding the mechanism by which myomaker regulates muscle formation during postnatal development.
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Affiliation(s)
- Yajuan Huang
- Key Laboratory of Mariculture (Ocean University of China), Ministry of Education, Qingdao 266003, China
| | - Shuxian Wu
- Key Laboratory of Mariculture (Ocean University of China), Ministry of Education, Qingdao 266003, China
| | - Jingru Zhang
- Key Laboratory of Mariculture (Ocean University of China), Ministry of Education, Qingdao 266003, China
| | - Haishen Wen
- Key Laboratory of Mariculture (Ocean University of China), Ministry of Education, Qingdao 266003, China
| | - Meizhao Zhang
- Key Laboratory of Mariculture (Ocean University of China), Ministry of Education, Qingdao 266003, China
| | - Feng He
- Key Laboratory of Mariculture (Ocean University of China), Ministry of Education, Qingdao 266003, China.
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26
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Latorre-Rojas EJ, Prat-Subirana JA, Peirau-Terés X, Mas-Alòs S, Beltrán-Garrido JV, Planas-Anzano A. Determination of functional fitness age in women aged 50 and older. JOURNAL OF SPORT AND HEALTH SCIENCE 2019; 8:267-272. [PMID: 31193284 PMCID: PMC6523037 DOI: 10.1016/j.jshs.2017.01.010] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/17/2016] [Revised: 10/07/2016] [Accepted: 11/13/2016] [Indexed: 06/09/2023]
Abstract
BACKGROUND The construction of useful and attainable indicators of fitness assessment deserves special attention in clinical practice. We aimed to construct an indicator of the functional fitness age (FFA) of women aged 50 and older by an equation using fitness outcomes and its correlation with chronological age (CA) and to analyze the external validity of our results by comparing our sample to others. METHODS Participants (n = 459, age: 70.3 ± 7.9 years, mean ± SD) were evaluated using the Senior Fitness Test battery. We applied a multiple regression and a subsequent Holt's exponential smoothing to analyze the outcomes. RESULTS We obtained a statistically significant expression of F(6, 452) = 328.384; p < 0.0005 in which the coefficients of the equation explain 81% of variability (R 2 corrected = 0.813). The equation correlates fitness assessment in women aged 50 and over with regards to CA: FFA = 40.146 + 0.350 × CS (stand) - 0.714 × AC (rep) - 0.110 × ST (step) - 0.177 × CSR (cm) - 0.101 × BS (cm) + 8.835 × FUG (s) where CS means chair stand test, AC means arm curl test, ST means 2-min step test, CSR means chair sit-and-reach test, BS means back scratch test, FUG means 8-foot up-and-go test. We compared this index with percentiles distribution from our sample and from other studies. CONCLUSION We suggest the use of FFA as a valid indicator of fitness in adult and senior women as well as a useful motivational tool to undertake exercise programs.
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Affiliation(s)
- Edgar Johani Latorre-Rojas
- National Institute of Physical Education of Catalonia, University of Lleida, Lleida, Catalonia E-25192, Spain
- Physical Fitness, Sport and Recreation Department, Floridablanca Campus, University Santo Tomás Aquino, Kilómetro 7 vía Floridablanca, Bucaramanga, Colombia
| | - Joan Antoni Prat-Subirana
- National Institute of Physical Education of Catalonia, University of Lleida, Lleida, Catalonia E-25192, Spain
| | - Xavier Peirau-Terés
- National Institute of Physical Education of Catalonia, University of Lleida, Lleida, Catalonia E-25192, Spain
| | - Sebastià Mas-Alòs
- National Institute of Physical Education of Catalonia, University of Lleida, Lleida, Catalonia E-25192, Spain
- Department of Nursery and Physiotherapy, University of Lleida, Lleida, Catalonia E-25198, Spain
| | - José Vicente Beltrán-Garrido
- National Institute of Physical Education of Catalonia, University of Lleida, Lleida, Catalonia E-25192, Spain
- EUSES TE, Health and Sport Science School, Rovira i Virgili University, Amposta, Catalonia E-43870, Spain
| | - Antoni Planas-Anzano
- National Institute of Physical Education of Catalonia, University of Lleida, Lleida, Catalonia E-25192, Spain
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27
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Bae HS, Son HY, Son Y, Kim S, Hong HS, Park JU. Assessing biological aging following systemic administration of bFGF-supplemented adipose-derived stem cells with high efficacy in an experimental rat model. Exp Ther Med 2019; 17:2407-2416. [PMID: 30906427 PMCID: PMC6425125 DOI: 10.3892/etm.2019.7251] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2018] [Accepted: 08/14/2018] [Indexed: 11/06/2022] Open
Abstract
Biological aging (BA) is a tool for comprehensive assessment of individual health status. A rat model was developed for measuring BA by intravenously administering adipose-derived stem cells (ADSCs) into rats and evaluating several biochemical parameters. In addition, the effect of basic fibroblast growth factor (bFGF) on the differentiation potential of ADSCs was analyzed. A total of 12 male Sprague Dawley rats were divided into autologous ADSC administration (n=6) and saline administration (n=6) groups. The ADSC administration group was further divided into the bFGF supplemented (n=3) and bFGF non-supplemented (n=3) groups. Biochemical parameters and antioxidant potential were evaluated prior to fat harvest and ADSC administration, as well as 1, 3, and 5 weeks following ADSC administration. ADSC administration regulated inflammation, renal and hepatic functions, and levels of antioxidant enzymes. The cell doubling time of the bFGF-supplemented group was shorter (P=0.0001) than that of the bFGF non-supplemented group. Renal and hepatic functions were maintained with bFGF supplementation, which possibly enhanced the effect of ADSCs. The rat model developed in the present study may promote better understanding of BA in the context of bFGF-supplemented ADSC administration.
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Affiliation(s)
- Hahn-Sol Bae
- Department of Plastic and Reconstructive Surgery, Seoul National University Boramae Medical Center, Seoul 07061, Republic of Korea
| | - Hye-Youn Son
- Department of Plastic and Reconstructive Surgery, Seoul National University Boramae Medical Center, Seoul 07061, Republic of Korea
| | - Youngsook Son
- Department of Genetic Engineering, Graduate School of Biotechnology, Kyung Hee University, Yongin, Gyeonggi 16979, Republic of Korea
| | - Sundong Kim
- Senior Science Life Corporation, Seoul 08594, Republic of Korea
| | - Hyun-Sook Hong
- Kyung Hee Institute for Regenerative Medicine, College of Medicine, Kyung Hee University, Seoul 02447, Republic of Korea
| | - Ji-Ung Park
- Department of Plastic and Reconstructive Surgery, Seoul National University Boramae Medical Center, Seoul 07061, Republic of Korea
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28
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The many ages of man: diverse approaches to assessing ageing-related biological and psychological measures and their relationship to chronological age. Curr Opin Psychiatry 2019; 32:130-137. [PMID: 30461440 DOI: 10.1097/yco.0000000000000473] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
Abstract
PURPOSE OF REVIEW Chronological age is a crude measure and may not be the best indicator of the ageing process. Establishing valid and reliable biomarkers to understand the true effect of ageing is of great interest. We provide an overview of biological and psychological characteristics that change with age and can potentially serve as markers of the ageing process, and discuss if an integration of these characteristics may more accurately measure the true age of a person. We also describe the clinicopathological continuum of these ageing-related changes. RECENT FINDINGS Ageing-related changes in the biological and psychological systems of the body have been studied to varying degrees and with differing emphases. Despite the development of ageing indices, there is no single indicator that can holistically estimate the ageing process. Differential ageing of bodily systems remains poorly understood, and valid methods have not been developed for composite markers of biological and psychological processes. SUMMARY The ageing process is complex and heterogeneous. Incorporating biological and psychological measures may improve accuracy in reflecting an individual's 'true age,' and elucidate why some people age successfully, whereas others show ageing-related decline and disease.
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29
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Han KT, Kim DW, Kim SJ, Kim SJ. Biological Age Is Associated with the Active Use of Nutrition Data. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2018; 15:ijerph15112431. [PMID: 30388785 PMCID: PMC6266208 DOI: 10.3390/ijerph15112431] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/01/2018] [Revised: 10/26/2018] [Accepted: 10/30/2018] [Indexed: 11/16/2022]
Abstract
Purpose Biological age (BA) has recently emerged as a substitute for chronological age (CA), and many subjects seek to optimally control their BA. However, in South Korea, no study has adequately explored factors that affect BA, although individual health management is essential to preventing chronic diseases. In the present study, we focus on the use of health information, in particular nutrition facts, to control BA. Methods We used data from the Korea National Health and Nutrition Examination Surveys (2010–2015; 26,914 eligible participants) using BA and age differences as outcome variables. We used multiple linear regression to explore the relationship between the use of nutrition data and differences in BA after adjusting for covariates. In addition, we used multiple linear regression to examine subgroup differences in such relationships. Results 12.8% of males and 27.5% of females used nutrition facts when deciding which foods to purchase. The more attention paid to such facts, the lower the BA and BA differences in both males and females (males: β = −2.646, females: β = −2.787, p < 0.05, for BA; males: β = −1.181, females, β = −2.161, p < 0.05, for BA differences). However, BA differences were more significant in subjects with chronic disease, obesity, and/or a family history of chronic disease. Conclusion High-level awareness of and active use of nutrition facts permitted effective self-management in preventing chronic disease and improving BA, particularly in subjects at higher risk for chronic disease. Thus, considering nutrition facts when deciding what to purchase is important.
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Affiliation(s)
- Kyu-Tae Han
- Research and Analysis Team, National Health Insurance Service Ilsan Hospital, Goyang 10444, Korea.
- Institute of Health Services Research, Yonsei University College of Medicine, Seoul 03722, Korea.
| | - Dong Wook Kim
- Research and Analysis Team, National Health Insurance Service Ilsan Hospital, Goyang 10444, Korea.
| | - Seung Ju Kim
- Department of Nursing, College of Nursing, Eulji University, Seongnam 13135, Korea.
| | - Sun Jung Kim
- Department of Health Administration and Management, Soonchunhyang University, Asan 31538, Korea.
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30
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Sáez-Freire MDM, Blanco-Gómez A, Castillo-Lluva S, Gómez-Vecino A, Galvis-Jiménez JM, Martín-Seisdedos C, Isidoro-García M, Hontecillas-Prieto L, García-Cenador MB, García-Criado FJ, Patino-Alonso MC, Galindo-Villardón P, Mao JH, Prieto C, Castellanos-Martín A, Kaderali L, Pérez-Losada J. The biological age linked to oxidative stress modifies breast cancer aggressiveness. Free Radic Biol Med 2018; 120:133-146. [PMID: 29550329 DOI: 10.1016/j.freeradbiomed.2018.03.012] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/08/2017] [Revised: 03/07/2018] [Accepted: 03/08/2018] [Indexed: 01/08/2023]
Abstract
The incidence of breast cancer increases with age until menopause, and breast cancer is more aggressive in younger women. The existence of epidemiological links between breast cancer and aging indicates that both processes share some common mechanisms of development. Oxidative stress is associated with both cancer susceptibility and aging. Here we observed that ERBB2-positive breast cancer, which developed in genetically heterogeneous ERBB2-positive transgenic mice generated by a backcross, is more aggressive in chronologically younger than in older mice (differentiated by the median survival of the cohort that was 79 weeks), similar to what occurs in humans. In this cohort, we estimated the oxidative biological age using a mathematical model that integrated several subphenotypes directly or indirectly related to oxidative stress. The model selected the serum levels of HDL-cholesterol and magnesium and total AKT1 and glutathione concentrations in the liver. The grade of aging was calculated as the difference between the predicted biological age and the chronological age. This comparison permitted the identification of biologically younger and older mice compared with their chronological age. Interestingly, biologically older mice developed more aggressive breast cancer than the biologically younger mice. Genomic regions on chromosomes 2 and 15 linked to the grade of oxidative aging were identified. The levels of expression of Zbp1 located on chromosome 2, a gene related to necroptosis and inflammation, positively correlated with the grade of aging and tumour aggressiveness. Moreover, the pattern of gene expression of genes linked to the inflammation and the response to infection pathways was enriched in the livers of biologically old mice. This study shows part of the complex interactions between breast cancer and aging.
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Affiliation(s)
- María Del Mar Sáez-Freire
- Instituto de Biología Molecular y Celular del Cáncer (IBMCC-CIC), Universidad de Salamanca/CSIC, Salamanca, Spain; Instituto de Investigación Biosanitaria de Salamanca (IBSAL), Salamanca, Spain; Departamento de Fisiología y Farmacología, Universidad de Salamanca, Salamanca, Spain.
| | - Adrián Blanco-Gómez
- Instituto de Biología Molecular y Celular del Cáncer (IBMCC-CIC), Universidad de Salamanca/CSIC, Salamanca, Spain; Instituto de Investigación Biosanitaria de Salamanca (IBSAL), Salamanca, Spain.
| | - Sonia Castillo-Lluva
- Instituto de Biología Molecular y Celular del Cáncer (IBMCC-CIC), Universidad de Salamanca/CSIC, Salamanca, Spain; Instituto de Investigación Biosanitaria de Salamanca (IBSAL), Salamanca, Spain; Departamento de Bioquímica y Biología Molecular I, Facultad de Biología, Universidad Complutense de Madrid, Madrid, Spain.
| | - Aurora Gómez-Vecino
- Instituto de Biología Molecular y Celular del Cáncer (IBMCC-CIC), Universidad de Salamanca/CSIC, Salamanca, Spain; Instituto de Investigación Biosanitaria de Salamanca (IBSAL), Salamanca, Spain.
| | - Julie Milena Galvis-Jiménez
- Instituto de Biología Molecular y Celular del Cáncer (IBMCC-CIC), Universidad de Salamanca/CSIC, Salamanca, Spain; Instituto de Investigación Biosanitaria de Salamanca (IBSAL), Salamanca, Spain; Instituto Nacional de Cancerología, Bogotá, D.C., Colombia.
| | - Carmen Martín-Seisdedos
- Instituto de Investigación Biosanitaria de Salamanca (IBSAL), Salamanca, Spain; Servicio de Bioquímica Clínica, Hospital Universitario de Salamanca, Salamanca, Spain.
| | - María Isidoro-García
- Instituto de Investigación Biosanitaria de Salamanca (IBSAL), Salamanca, Spain; Servicio de Bioquímica Clínica, Hospital Universitario de Salamanca, Salamanca, Spain.
| | - Lourdes Hontecillas-Prieto
- Instituto de Biología Molecular y Celular del Cáncer (IBMCC-CIC), Universidad de Salamanca/CSIC, Salamanca, Spain; Instituto de Investigación Biosanitaria de Salamanca (IBSAL), Salamanca, Spain.
| | - María Begoña García-Cenador
- Instituto de Investigación Biosanitaria de Salamanca (IBSAL), Salamanca, Spain; Departamento de Cirugía, Universidad de Salamanca, Salamanca, Spain.
| | - Francisco Javier García-Criado
- Instituto de Investigación Biosanitaria de Salamanca (IBSAL), Salamanca, Spain; Departamento de Cirugía, Universidad de Salamanca, Salamanca, Spain.
| | - María Carmen Patino-Alonso
- Instituto de Investigación Biosanitaria de Salamanca (IBSAL), Salamanca, Spain; Departamento de Estadística, Universidad de Salamanca, Spain.
| | - Purificación Galindo-Villardón
- Instituto de Investigación Biosanitaria de Salamanca (IBSAL), Salamanca, Spain; Environmental Genomics and Systems Biology Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA.
| | - Jian-Hua Mao
- Environmental Genomics and Systems Biology Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA.
| | - Carlos Prieto
- Bioinformatics Service, Nucleus, University of Salamanca (USAL), Salamanca, Spain.
| | - Andrés Castellanos-Martín
- Instituto de Biología Molecular y Celular del Cáncer (IBMCC-CIC), Universidad de Salamanca/CSIC, Salamanca, Spain; Instituto de Investigación Biosanitaria de Salamanca (IBSAL), Salamanca, Spain.
| | - Lars Kaderali
- Institute for Bioinformatics, University Medicine Greifswald, Greifswald, Germany.
| | - Jesús Pérez-Losada
- Instituto de Biología Molecular y Celular del Cáncer (IBMCC-CIC), Universidad de Salamanca/CSIC, Salamanca, Spain; Instituto de Investigación Biosanitaria de Salamanca (IBSAL), Salamanca, Spain.
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Tan A, Sullenbarger B, Prakash R, McDaniel JC. Supplementation with eicosapentaenoic acid and docosahexaenoic acid reduces high levels of circulating proinflammatory cytokines in aging adults: A randomized, controlled study. Prostaglandins Leukot Essent Fatty Acids 2018; 132:23-29. [PMID: 29735019 PMCID: PMC5941937 DOI: 10.1016/j.plefa.2018.03.010] [Citation(s) in RCA: 60] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/02/2017] [Revised: 03/26/2018] [Accepted: 03/29/2018] [Indexed: 02/09/2023]
Abstract
BACKGROUND High levels of circulating proinflammatory cytokines are characteristic of inflammaging, a term coined to describe age-related chronic systemic inflammation involved in the etiology of many age-related disorders including nonhealing wounds. Some studies have shown that supplementing diets with n-3 polyunsaturated fatty acids (eicosapentaenoic acid [EPA] and docosahexaenoic acid [DHA]) lowers systemic levels of key proinflammatory cytokines associated with inflammaging. However, findings from the few studies that have focused exclusively on older adults are inconclusive. As such, the objective of this randomized controlled study was to test the effects of EPA+DHA therapy on circulating levels of proinflammatory cytokines in adults in middle to late adulthood. METHODS Plasma levels of fatty acids and interleukin (IL)-6, IL-1β and tumor necrosis factor-α (TNF-α) were measured in 35 participants with chronic venous leg ulcers (mean age: 60.6 years) randomnly assigned to 8 weeks of EPA+DHA therapy (2.5 g/d) or placebo therapy. RESULTS EPA+DHA therapy had a significant lowering effect on levels of IL-6, IL-1β and TNF-α after 4 weeks of therapy and an even greater lowering effect after 8 weeks of therapy. Further, after adjusting for baseline difference, the treatment group had significantly lower levels of IL-6 (p = 0.008), IL-1β (p < 0.001), and TNF-α (p < 0.001) at Week 4 and at Week 8 [IL-6 (p = 0.007), IL-1β (p < 0.001), and TNF-α (p < 0.001)] compared to the control group. CONCLUSION Adults in middle to late adulthood receiving EPA+DHA therapy demonstrated significantly greater reductions in circulating levels of proinflammatory cytokines compared with those receiving placebo therapy. EPA+DHA therapy may be an effective low-risk dietary intervention for assuaging the harmful effects of inflammaging.
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Affiliation(s)
- Alai Tan
- College of Nursing, The Ohio State University, USA
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32
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Kang YG, Suh E, Lee JW, Kim DW, Cho KH, Bae CY. Biological age as a health index for mortality and major age-related disease incidence in Koreans: National Health Insurance Service - Health screening 11-year follow-up study. Clin Interv Aging 2018; 13:429-436. [PMID: 29593385 PMCID: PMC5865564 DOI: 10.2147/cia.s157014] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/20/2023] Open
Abstract
Purpose A comprehensive health index is needed to measure an individual's overall health and aging status and predict the risk of death and age-related disease incidence, and evaluate the effect of a health management program. The purpose of this study is to demonstrate the validity of estimated biological age (BA) in relation to all-cause mortality and age-related disease incidence based on National Sample Cohort database. Patients and methods This study was based on National Sample Cohort database of the National Health Insurance Service - Eligibility database and the National Health Insurance Service - Medical and Health Examination database of the year 2002 through 2013. BA model was developed based on the National Health Insurance Service - National Sample Cohort (NHIS - NSC) database and Cox proportional hazard analysis was done for mortality and major age-related disease incidence. Results For every 1 year increase of the calculated BA and chronological age difference, the hazard ratio for mortality significantly increased by 1.6% (1.5% in men and 2.0% in women) and also for hypertension, diabetes mellitus, heart disease, stroke, and cancer incidence by 2.5%, 4.2%, 1.3%, 1.6%, and 0.4%, respectively (p<0.001). Conclusion Estimated BA by the developed BA model based on NHIS - NSC database is expected to be used not only as an index for assessing health and aging status and predicting mortality and major age-related disease incidence, but can also be applied to various health care fields.
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Affiliation(s)
- Young Gon Kang
- Department of R&D, MediAge Research Center, Seongnam, Republic of South Korea
| | - Eunkyung Suh
- Department of Family Medicine, College of Medicine, CHA University, Chaum, Seoul, Republic of South Korea
| | - Jae-Woo Lee
- Department of Family Medicine, College of Medicine, Chungbuk National University, Cheongju, Republic of South Korea
| | - Dong Wook Kim
- Department of Policy Research Affairs, National Health Insurance Service Ilsan Hospital, Goyang, Republic of South Korea
| | - Kyung Hee Cho
- Department of Family Medicine, National Health Insurance Service Ilsan Hospital, Goyang, Republic of South Korea
| | - Chul-Young Bae
- Department of R&D, MediAge Research Center, Seongnam, Republic of South Korea
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Liukkonen M, Nygård CH, Laukkanen R. A Cluster Randomized Controlled Trial on the Effects of Technology-aided Testing and Feedback on Physical Activity and Biological Age Among Employees in a Medium-sized Enterprise. Saf Health Work 2017; 8:393-397. [PMID: 29276639 PMCID: PMC5715481 DOI: 10.1016/j.shaw.2017.03.003] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2016] [Revised: 11/07/2016] [Accepted: 03/01/2017] [Indexed: 11/15/2022] Open
Abstract
Background It has been suggested that engaging technology can empower individuals to be more proactive about their health and reduce their health risks. The aim of the present intervention was to study the effects of technology-aided testing and feedback on physical activity and biological age of employees in a middle-sized enterprise. Methods In all, 121 employees (mean age 42 ± 10 years) participated in the 12-month three-arm cluster randomized trial. The fitness measurement process (Body Age) determined the participants’ biological age in years. Physical activity was measured with the International Physical Activity Questionnaire Short Form. Results Physical activity did not change during the intervention. Biological age (better fitness) improved in all groups statistically significantly (p < 0.001), but with no interaction effects. The mean changes (years) in the groups were −2.20 for the controls, –2.83 for the group receiving their biological age and feedback, and −2.31 for the group receiving their biological age, feedback, and a training computer. Conclusion Technology-aided testing with feedback does not seem to change the amount of physical activity but may enhance physical fitness measured by biological age.
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Affiliation(s)
- Mika Liukkonen
- University of Tampere, Tampere, Finland.,Sports Institute Pajulahti, Nastola, Finland
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Heckerman D, Traynor BJ, Picca A, Calvani R, Marzetti E, Hernandez D, Nalls M, Arepali S, Ferrucci L, Landi F. Genetic variants associated with physical performance and anthropometry in old age: a genome-wide association study in the ilSIRENTE cohort. Sci Rep 2017; 7:15879. [PMID: 29158487 PMCID: PMC5696534 DOI: 10.1038/s41598-017-13475-0] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2017] [Accepted: 09/25/2017] [Indexed: 11/09/2022] Open
Abstract
Unraveling the complexity of aging is crucial for understanding its mechanisms and its role as a risk factor for most chronic conditions. Advancements marked by genome-wide association studies (GWASs) have sparked interest in gene cataloguing in the context of aging and age-related conditions. Here, we used GWAS to explore whether single nucleotide polymorphisms (SNPs) were associated with functional and anthropometric parameters in a cohort of old community-dwellers enrolled in the ilSIRENTE study. Analyses were carried out in men and women aged 80+ years enrolled in the ilSIRENTE study (n = 286) and replicated in the inCHIANTI study (n = 1055). Genotyping was accomplished on Infinium Human610-QUAD version 1. In the ilSIRENTE population, genetic variants in ZNF295 and C2CD2 (rs928874 and rs1788355) on chromosome 21q22.3, were significantly associated with the 4-meter gait speed (rs928874, p = 5.61 × 10−8; rs1788355, p = 5.73 × 10−8). This association was not replicated in the inCHIANTI population. Our findings suggest that specific SNPs may be associated with a key measure of physical performance in older adults. GWASs using larger samples are needed to confirm these preliminary results to enhance our comprehension of complex age-associated phenomena.
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Affiliation(s)
| | - Bryan J Traynor
- Neuromuscular Diseases Research Section, Laboratory of Neurogenetics, National Institute on Aging, 35 Convent Drive, Room 1A-1000, Bethesda, MD, 20892, USA
| | - Anna Picca
- Center for Geriatric Medicine (CEMI), Department of Geriatrics, Neurosciences and Orthopedics, Catholic University of Sacred Heart, Rome, 00168, Italy
| | - Riccardo Calvani
- Center for Geriatric Medicine (CEMI), Department of Geriatrics, Neurosciences and Orthopedics, Catholic University of Sacred Heart, Rome, 00168, Italy
| | - Emanuele Marzetti
- Center for Geriatric Medicine (CEMI), Department of Geriatrics, Neurosciences and Orthopedics, Catholic University of Sacred Heart, Rome, 00168, Italy
| | - Dena Hernandez
- Genomics Technology Group, Laboratory of Neurogenetics, National Institute on Aging, 35 Convent Drive, Room 1A-1000, Bethesda, MD, 20892, USA
| | - Michael Nalls
- Molecular Genetics Unit, Laboratory of Neurogenetics, National Institute on Aging, 35 Convent Drive, Room 1A-1000, Bethesda, MD, 20892, USA
| | - Sampath Arepali
- Genomics Technology Group, Laboratory of Neurogenetics, National Institute on Aging, 35 Convent Drive, Room 1A-1000, Bethesda, MD, 20892, USA
| | - Luigi Ferrucci
- Longitudinal Studies Section, Clinical Research Branch, National Institute on Aging, 251 Bayview Blvd., Room BRC/04C225, Baltimore, MD, 21224, USA
| | - Francesco Landi
- Center for Geriatric Medicine (CEMI), Department of Geriatrics, Neurosciences and Orthopedics, Catholic University of Sacred Heart, Rome, 00168, Italy.
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Sillanpää E, Sipilä S, Törmäkangas T, Kaprio J, Rantanen T. Genetic and Environmental Effects on Telomere Length and Lung Function: A Twin Study. J Gerontol A Biol Sci Med Sci 2017; 72:1561-1568. [PMID: 27856493 DOI: 10.1093/gerona/glw178] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2015] [Accepted: 07/25/2016] [Indexed: 12/17/2022] Open
Abstract
Background The purpose of the study was to estimate the heritability of leukocyte telomere length (LTL) and lung function and to examine whether LTL and lung function share genetic or environmental effects in common. Methods 386 monozygotic and dizygotic Finnish twin sisters (age 68.4±3.4 years) were included. Relative LTL was determined from peripheral blood DNA by qPCR. Lung function measures of FEV1, FVC, FEV1/FVC, and PEF were derived from spirometry. Genetic modeling was performed with MPlus statistical software. Results Univariate analysis revealed that in LTL, 62% (95% confidence interval 50-72) of the variance was explained by additive genetic and 38% (28-50) by unique environmental factors. For FEV1, FVC, and PEF, the corresponding estimates were 65%-67% for additive genetic and 33%-35% for unique environmental factors. Across the sample, the phenotypic correlation between LTL and FEV1 was modest (r = .104, p = .041). Bivariate correlated factors model revealed that the genetic correlation between LTL and FEV1 was .18 (-0.19 to 0.64) and environmental correlation was -.10 (-0.84 to 0.55). Conclusions Both LTL and lung function variables are moderately to highly genetically determined. The associations between LTL and the lung function variables were weak. However, the positive genetic correlation point estimate gave minor suggestions that, in a larger sample, genetic factors in common might play a role in the phenotypic correlation between LTL and FEV1. Future studies with larger samples are needed to confirm these preliminary findings.
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Affiliation(s)
- Elina Sillanpää
- Gerontology Research Center and Department of Health Sciences, University of Jyväskylä, Finland
| | - Sarianna Sipilä
- Gerontology Research Center and Department of Health Sciences, University of Jyväskylä, Finland
| | - Timo Törmäkangas
- Gerontology Research Center and Department of Health Sciences, University of Jyväskylä, Finland
| | - Jaakko Kaprio
- Department of Public Health and Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Finland.,National Institute for Health and Welfare, Helsinki, Finland
| | - Taina Rantanen
- Gerontology Research Center and Department of Health Sciences, University of Jyväskylä, Finland
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Mitnitski A, Howlett SE, Rockwood K. Heterogeneity of Human Aging and Its Assessment. J Gerontol A Biol Sci Med Sci 2017; 72:877-884. [PMID: 27216811 DOI: 10.1093/gerona/glw089] [Citation(s) in RCA: 69] [Impact Index Per Article: 9.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2016] [Accepted: 04/27/2016] [Indexed: 01/15/2023] Open
Abstract
Understanding the heterogeneity in health of older adults is a compelling question in the biology of aging. We analyzed the performance of five measures of health heterogeneity, judging them by their ability to predict mortality. Using clinical and biomarker data on 1,013 participants of the Canadian Study of Health and Aging who were followed for up to 6 years, we calculated two indices of biological age using the Klemera and Doubal method, which controversially includes using chronological age as a "biomarker," and three frailty indices (FIs) that do not include chronological age: a standard clinical FI, an FI from standard laboratory blood tests and blood pressure, and their combination (FI-combined). Predictive validity was tested using Cox proportional hazards analysis and discriminative ability by the area under the receiver-operating characteristic curves. All five measures showed moderate performance that was improved by combining measures to evaluate larger numbers of items. The greatest addition in explanatory power came from the FI-combined that showed the best mortality prediction in an age-adjusted model. More extensive comparisons across different databases are required, but these results do not support including chronological age as a biomarker.
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Affiliation(s)
| | - Susan E Howlett
- Department of Medicine and.,Department of Pharmacology (Division of Geriatric Medicine), Dalhousie University, Halifax, Nova Scotia, Canada.,Department of Physiology, Institute of Cardiovascular Sciences and
| | - Kenneth Rockwood
- Department of Medicine and.,Department of Geriatric Medicine and Institute of Brain, Behaviour and Neurosciences, University of Manchester, UK
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Park JH, Yoo Y, Park YJ. Epigenetics: Linking Nutrition to Molecular Mechanisms in Aging. Prev Nutr Food Sci 2017; 22:81-89. [PMID: 28702424 PMCID: PMC5503416 DOI: 10.3746/pnf.2017.22.2.81] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2017] [Accepted: 03/07/2017] [Indexed: 11/06/2022] Open
Abstract
Healthy aging has become a major goal of public health. Many studies have provided evidence and theories to explain molecular mechanisms of the aging process. Recent studies suggest that epigenetic mechanisms are responsible for life span and the progression of aging. Epigenetics is a fascinating field of molecular biology, which studies heritable modifications of DNA and histones that regulate gene expression without altering the DNA sequence. DNA methylation is a major epigenetic mark that shows progressive changes during aging. Recent studies have investigated aging-related DNA methylation as a biomarker that predicts cellular age. Interestingly, growing evidence proposes that nutrients play a crucial role in the regulation of epigenetic modifiers. Because various nutrients and their metabolites function as substrates or cofactors for epigenetic modifiers, nutrition can modulate or reverse epigenetic marks in the genome as well as expression patterns. Here, we will review the results on aging-associated epigenetic modifications and the possible mechanisms by which nutrition, including nutrient availability and bioactive compounds, regulate epigenetic changes and affect aging physiology.
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Affiliation(s)
- Joo Hyun Park
- Metabolism and Epigenetics Laboratory, Department of Nutritional Science and Food Management, Ewha Womans University, Seoul 03760, Korea
| | - Yeongran Yoo
- Metabolism and Epigenetics Laboratory, Department of Nutritional Science and Food Management, Ewha Womans University, Seoul 03760, Korea
| | - Yoon Jung Park
- Metabolism and Epigenetics Laboratory, Department of Nutritional Science and Food Management, Ewha Womans University, Seoul 03760, Korea
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Abstract
At present, no single indicator could be used as a golden index to estimate aging process. The biological age (BA), which combines several important biomarkers with mathematical modeling, has been proposed for >50 years as an aging estimation method to replace chronological age (CA). The common methods used for BA estimation include the multiple linear regression (MLR), the principal component analysis (PCA), the Hochschild's method, and the Klemera and Doubal's method (KDM). The fundamental differences in these four methods are the roles of CA and the selection criteria of aging biomarkers. In MLR and PCA, CA is treated as the selection criterion and an independent index. The Hochschild's method and KDM share a similar concept, making CA an independent variable. Previous studies have either simply constructed the BA model by one or compared the four methods together. However, reviews have yet to illustrate and compare the four methods systematically. Since the BA model is a potential estimation of aging for clinical use, such as predicting onset and prognosis of diseases, improving the elderly's living qualities, and realizing successful aging, here we summarize previous BA studies, illustrate the basic statistical steps, and thoroughly discuss the comparisons among the four common BA estimation methods.
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Affiliation(s)
- Linpei Jia
- Department of Nephrology, Second Hospital of Jilin University, Changchun, Jilin Province
- Department of Nephrology, Chinese People’s Liberation Army General Hospital, Beijing
- State Key Laboratory of Kidney Disease, Chinese People’s Liberation Army General Hospital, Beijing, People’s Republic of China
| | - Weiguang Zhang
- Department of Nephrology, Chinese People’s Liberation Army General Hospital, Beijing
- State Key Laboratory of Kidney Disease, Chinese People’s Liberation Army General Hospital, Beijing, People’s Republic of China
| | - Xiangmei Chen
- Department of Nephrology, Second Hospital of Jilin University, Changchun, Jilin Province
- Department of Nephrology, Chinese People’s Liberation Army General Hospital, Beijing
- State Key Laboratory of Kidney Disease, Chinese People’s Liberation Army General Hospital, Beijing, People’s Republic of China
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Sebastiani P, Thyagarajan B, Sun F, Schupf N, Newman AB, Montano M, Perls TT. Biomarker signatures of aging. Aging Cell 2017; 16:329-338. [PMID: 28058805 PMCID: PMC5334528 DOI: 10.1111/acel.12557] [Citation(s) in RCA: 139] [Impact Index Per Article: 19.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/15/2016] [Indexed: 12/21/2022] Open
Abstract
Because people age differently, age is not a sufficient marker of susceptibility to disabilities, morbidities, and mortality. We measured nineteen blood biomarkers that include constituents of standard hematological measures, lipid biomarkers, and markers of inflammation and frailty in 4704 participants of the Long Life Family Study (LLFS), age range 30-110 years, and used an agglomerative algorithm to group LLFS participants into clusters thus yielding 26 different biomarker signatures. To test whether these signatures were associated with differences in biological aging, we correlated them with longitudinal changes in physiological functions and incident risk of cancer, cardiovascular disease, type 2 diabetes, and mortality using longitudinal data collected in the LLFS. Signature 2 was associated with significantly lower mortality, morbidity, and better physical function relative to the most common biomarker signature in LLFS, while nine other signatures were associated with less successful aging, characterized by higher risks for frailty, morbidity, and mortality. The predictive values of seven signatures were replicated in an independent data set from the Framingham Heart Study with comparable significant effects, and an additional three signatures showed consistent effects. This analysis shows that various biomarker signatures exist, and their significant associations with physical function, morbidity, and mortality suggest that these patterns represent differences in biological aging. The signatures show that dysregulation of a single biomarker can change with patterns of other biomarkers, and age-related changes of individual biomarkers alone do not necessarily indicate disease or functional decline.
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Affiliation(s)
- Paola Sebastiani
- Department of BiostatisticsBoston University School of Public Health801 Massachusetts AvenueBostonMA02118USA
| | - Bharat Thyagarajan
- Department of Laboratory Medicine and PathologyUniversity of Minnesota Medical SchoolMMC 609 Mayo420 DelawareMinneapolisMN55455USA
| | - Fangui Sun
- Department of BiostatisticsBoston University School of Public Health801 Massachusetts AvenueBostonMA02118USA
| | - Nicole Schupf
- Department of EpidemiologySergievsky CenterColumbia University Mailman School of Public Health630 West 168th StreetNew YorkNY10032USA
| | - Anne B. Newman
- Department of EpidemiologyUniversity of PittsburghA527 Crabtree Hall130 DeSoto StreetPittsburghPA15261USA
| | - Monty Montano
- Department of MedicineHarvard Medical SchoolBrigham and Women's Hospital221 Longwood AvenueBostonMA02115USA
| | - Thomas T. Perls
- Department of MedicineGeriatrics SectionBoston University School of Medicine and Boston Medical CenterRobinson 240088 E Newton StBostonMA02118USA
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40
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Kang YG, Suh E, Chun H, Kim SH, Kim DK, Bae CY. Models for estimating the metabolic syndrome biological age as the new index for evaluation and management of metabolic syndrome. Clin Interv Aging 2017; 12:253-261. [PMID: 28203066 PMCID: PMC5295798 DOI: 10.2147/cia.s123316] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022] Open
Abstract
Purpose This study aims to propose a metabolic syndrome (MS) biological age model, through which overall evaluation and management of the health status and aging state in MS can be done easily. Through this model, we hope to provide a novel evaluation and management health index that can be utilized in various health care fields. Patient and methods MS parameters from American Heart Association/National Heart, Lung, and Blood Institute guidelines in 2005 were used as biomarkers for the estimation of MS biological age. MS biological age model development was done by analyzing data of 263,828 participants and clinical application of the developed MS biological age was assessed by analyzing the data of 188,886 subjects. Results The principal component accounted for 36.1% in male and 38.9% in female of the total variance in the battery of five variables. The correlation coefficient between corrected biological age and chronological age in males and females were 0.711 and 0.737, respectively. Significant difference for mean MS biological age and chronological age between the three groups, normal, at risk and MS, was seen (P<0.001). Conclusion For the comprehensive approach in MS management, MS biological age is expected to be additionally utilized as a novel evaluation and management index along with the traditional MS diagnosis.
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Affiliation(s)
| | - Eunkyung Suh
- Department of Family Medicine, College of Medicine, CHA University, Chaum, Seoul
| | - Hyejin Chun
- Department of Family Medicine, College of Medicine, CHA University, Bundang CHA Medical Center, Seongnam-si, Gyeonggi-do
| | - Sun-Hyun Kim
- Department of Family Medicine, International St Mary's Hospital, College of Medicine, Catholic Kwandong University, Incheon
| | - Deog Ki Kim
- Pharmicell Clinical Research Center, Seoul, South Korea
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Foebel AD, Pedersen NL. Genetic Influences on Functional Capacities in Aging. THE GERONTOLOGIST 2017; 56 Suppl 2:S218-29. [PMID: 26994262 DOI: 10.1093/geront/gnw006] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022] Open
Abstract
PURPOSE Older populations are characterized by great heterogeneity in functional capacities and understanding the factors underlying these differences has been a major area of research for some decades. Genetic differences arguably play an important role in the heterogeneity observed for many outcomes among older individuals. However, the role of genes in the variation and trajectories of functional capacities in older age is poorly understood. This review was conducted to explore the evidence for genetic influences on physical functional capacities in aging. DESIGN AND METHODS This rapid review was conducted using the following criteria: journal articles retrieved from the PubMed, Embase, AgeLine, Scopus, and Web of Science electronic databases including the key words: genetics, genotype, polymorphism, physical or functional performance, functional capacity, activities of daily living, older, and elderly. In total, 118 articles were included for initial review. RESULTS The heritability of objective measures of physical function ranges from 30% to 60% in studies of older twins. There is a paucity of evidence about genetic influences on functional capacities, but some candidate genes related to functional capacity have been identified. IMPLICATIONS No strong candidate genes exist for functional capacities. Current methodologies are beginning to generate new evidence about genetic influences on overall physical function at older ages, but the variety of measures of functional capacity makes evidence difficult to compare.
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Affiliation(s)
- Andrea D Foebel
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
| | - Nancy L Pedersen
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
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Kim S, Myers L, Wyckoff J, Cherry KE, Jazwinski SM. The frailty index outperforms DNA methylation age and its derivatives as an indicator of biological age. GeroScience 2017; 39:83-92. [PMID: 28299637 PMCID: PMC5352589 DOI: 10.1007/s11357-017-9960-3] [Citation(s) in RCA: 79] [Impact Index Per Article: 11.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2016] [Accepted: 01/05/2017] [Indexed: 01/19/2023] Open
Abstract
The measurement of biological age as opposed to chronological age is important to allow the study of factors that are responsible for the heterogeneity in the decline in health and function ability among individuals during aging. Various measures of biological aging have been proposed. Frailty indices based on health deficits in diverse body systems have been well studied, and we have documented the use of a frailty index (FI34) composed of 34 health items, for measuring biological age. A different approach is based on leukocyte DNA methylation. It has been termed DNA methylation age, and derivatives of this metric called age acceleration difference and age acceleration residual have also been employed. Any useful measure of biological age must predict survival better than chronological age does. Meta-analyses indicate that age acceleration difference and age acceleration residual are significant predictors of mortality, qualifying them as indicators of biological age. In this article, we compared the measures based on DNA methylation with FI34. Using a well-studied cohort, we assessed the efficiency of these measures side by side in predicting mortality. In the presence of chronological age as a covariate, FI34 was a significant predictor of mortality, whereas none of the DNA methylation age-based metrics were. The outperformance of FI34 over DNA methylation age measures was apparent when FI34 and each of the DNA methylation age measures were used together as explanatory variables, along with chronological age: FI34 remained significant but the DNA methylation measures did not. These results indicate that FI34 is a robust predictor of biological age, while these DNA methylation measures are largely a statistical reflection of the passage of chronological time.
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Affiliation(s)
- Sangkyu Kim
- Tulane Center for Aging and Department of Medicine, Tulane University Health Sciences Center, Box 8513, 1430 Tulane Ave., New Orleans, 70112, LA, USA.
| | - Leann Myers
- Department of Global Biostatistics and Data Science, School of Public Health and Tropical Medicine, Tulane University Health Sciences Center, New Orleans, LA, USA
| | - Jennifer Wyckoff
- Tulane Center for Aging and Department of Medicine, Tulane University Health Sciences Center, Box 8513, 1430 Tulane Ave., New Orleans, 70112, LA, USA
| | - Katie E Cherry
- Department of Psychology, Louisiana State University, Baton Rouge, LA, USA
| | - S Michal Jazwinski
- Tulane Center for Aging and Department of Medicine, Tulane University Health Sciences Center, Box 8513, 1430 Tulane Ave., New Orleans, 70112, LA, USA
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Chang CH, Lee KY, Shim YH. Normal aging: definition and physiologic changes. JOURNAL OF THE KOREAN MEDICAL ASSOCIATION 2017. [DOI: 10.5124/jkma.2017.60.5.358] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022] Open
Affiliation(s)
- Chul Ho Chang
- Department of Anesthesiology and Pain Medicine, Yonsei University College of Medicine, Seoul, Korea
- Anesthesia and Pain Research Institute, Yonsei University College of Medicine, Seoul, Korea
| | - Ki-Young Lee
- Department of Anesthesiology and Pain Medicine, Yonsei University College of Medicine, Seoul, Korea
- Anesthesia and Pain Research Institute, Yonsei University College of Medicine, Seoul, Korea
| | - Yon Hee Shim
- Department of Anesthesiology and Pain Medicine, Yonsei University College of Medicine, Seoul, Korea
- Anesthesia and Pain Research Institute, Yonsei University College of Medicine, Seoul, Korea
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44
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Prognostic Markers for Poor Recovery After Mild Traumatic Brain Injury in Older Adults: A Pilot Cohort Study. J Head Trauma Rehabil 2016; 31:E33-E43. [DOI: 10.1097/htr.0000000000000226] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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45
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Santos-Lozano A, Santamarina A, Pareja-Galeano H, Sanchis-Gomar F, Fiuza-Luces C, Cristi-Montero C, Bernal-Pino A, Lucia A, Garatachea N. The genetics of exceptional longevity: Insights from centenarians. Maturitas 2016; 90:49-57. [PMID: 27282794 DOI: 10.1016/j.maturitas.2016.05.006] [Citation(s) in RCA: 28] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2016] [Revised: 05/03/2016] [Accepted: 05/09/2016] [Indexed: 01/07/2023]
Abstract
As the world population ages, so the prevalence increases of individuals aged 100 years or more, known as centenarians. Reaching this age has been described as exceptional longevity (EL) and is attributed to both genetic and environmental factors. Many genetic variations known to affect life expectancy exist in centenarians. This review of studies conducted on centenarians and supercentenarians (older than 110 years) updates knowledge of the impacts on longevity of the twenty most widely investigated single nucleotide polymorphisms (SNPs).
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Affiliation(s)
- Alejandro Santos-Lozano
- Research Institute of Hospital 12 de Octubre ('i+12'), Madrid, Spain; GIDFYS, Department of Health Sciences, European University Miguel de Cervantes, Valladolid, Spain
| | | | - Helios Pareja-Galeano
- Research Institute of Hospital 12 de Octubre ('i+12'), Madrid, Spain; European University of Madrid, Madrid, Spain
| | | | | | - Carlos Cristi-Montero
- IRyS Group, Physical Education School, Pontificia Universidad Católica de Valparaíso, Valparaíso, Chile
| | | | - Alejandro Lucia
- Research Institute of Hospital 12 de Octubre ('i+12'), Madrid, Spain; European University of Madrid, Madrid, Spain
| | - Nuria Garatachea
- Research Institute of Hospital 12 de Octubre ('i+12'), Madrid, Spain; Departamento de Fisiatría y Enfermería, Facultad de Ciencias de la Salud y del Deporte, GENUD (Growth, Exercise, Nutrition and Development) research group, Instituto Agroalimentario de Aragón -IA2- (Universidad de Zaragoza-CITA), Zaragoza, Spain.
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Abstract
Progeroid mouse models display phenotypes in multiple organ systems that suggest premature aging and resemble features of natural aging of both mice and humans. The prospect of a significant increase in the global elderly population within the next decades has led to the emergence of "geroscience," which aims at elucidating the molecular mechanisms involved in aging. Progeroid mouse models are frequently used in geroscience as they provide insight into the molecular mechanisms that are involved in the highly complex process of natural aging. This review provides an overview of the most commonly reported nonneoplastic macroscopic and microscopic pathologic findings in progeroid mouse models (eg, osteoporosis, osteoarthritis, degenerative joint disease, intervertebral disc degeneration, kyphosis, sarcopenia, cutaneous atrophy, wound healing, hair loss, alopecia, lymphoid atrophy, cataract, corneal endothelial dystrophy, retinal degenerative diseases, and vascular remodeling). Furthermore, several shortcomings in pathologic analysis and descriptions of these models are discussed. Progeroid mouse models are valuable models for aging, but thorough knowledge of both the mouse strain background and the progeria-related phenotype is required to guide interpretation and translation of the pathology data.
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Affiliation(s)
- L Harkema
- Dutch Molecular Pathology Center, Department of Pathobiology, Faculty of Veterinary Medicine, Utrecht University, Utrecht, The Netherlands
| | - S A Youssef
- Dutch Molecular Pathology Center, Department of Pathobiology, Faculty of Veterinary Medicine, Utrecht University, Utrecht, The Netherlands
| | - A de Bruin
- Dutch Molecular Pathology Center, Department of Pathobiology, Faculty of Veterinary Medicine, Utrecht University, Utrecht, The Netherlands Department of Pediatrics, Division of Molecular Genetics, University Medical Center Groningen, Groningen, The Netherlands
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Stone ME, Lin J, Dannefer D, Kelley-Moore JA. The Continued Eclipse of Heterogeneity in Gerontological Research. J Gerontol B Psychol Sci Soc Sci 2016; 72:162-167. [PMID: 26834089 DOI: 10.1093/geronb/gbv068] [Citation(s) in RCA: 36] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2014] [Accepted: 07/04/2015] [Indexed: 01/14/2023] Open
Abstract
OBJECTIVES After a long history of neglect, diversity among older people and increasing heterogeneity with age are now familiar ideas in gerontological discourse. We take up the question of whether this increased attention is translating into the domain of empirical research. We replicate Nelson and Dannefer's (1992) review of the treatment of age-based variability in gerontological research, the most recent known assessment of the issue. METHOD A sample of empirical studies was drawn from six gerontological journals to determine (a) whether measures of within-age variability were reported and/or discussed and (b) if reported, the observed age-based pattern of variability in the outcome(s). RESULTS The majority of studies neither reported nor discussed age-based variability. Among those that did report, the great majority indicated either stability or increasing variability with age. Observed patterns varied by outcome type. Although a majority of analyses of psychological and social outcomes suggested that variability was stable across age, half of the analyses of biological/health outcomes indicated increasing variability. Overall, very few (3%) of studies suggested decreasing variability. DISCUSSION Consistent with earlier reports of studies, researchers continue to focus on average differences between age groups, yet key issues in social gerontology require attention to intra-age variability.
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Affiliation(s)
- Mary Ellen Stone
- Department of Sociology, Case Western Reserve University, Cleveland, Ohio. .,Behavioral Health Branch, United States Marine Corps, Quantico, Virginia
| | - Jielu Lin
- National Institutes of Health, Bethesda, Maryland
| | - Dale Dannefer
- Department of Sociology, Case Western Reserve University, Cleveland, Ohio
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48
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Protein profiling reveals consequences of lifestyle choices on predicted biological aging. Sci Rep 2015; 5:17282. [PMID: 26619799 PMCID: PMC4664859 DOI: 10.1038/srep17282] [Citation(s) in RCA: 31] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2015] [Accepted: 09/29/2015] [Indexed: 12/20/2022] Open
Abstract
Ageing is linked to a number of changes in how the body and its organs function. On a molecular level, ageing is associated with a reduction of telomere length, changes in metabolic and gene-transcription profiles and an altered DNA-methylation pattern. Lifestyle factors such as smoking or stress can impact some of these molecular processes and thereby affect the ageing of an individual. Here we demonstrate by analysis of 77 plasma proteins in 976 individuals, that the abundance of circulating proteins accurately predicts chronological age, as well as anthropometrical measurements such as weight, height and hip circumference. The plasma protein profile can also be used to identify lifestyle factors that accelerate and decelerate ageing. We found smoking, high BMI and consumption of sugar-sweetened beverages to increase the predicted chronological age by 2–6 years, while consumption of fatty fish, drinking moderate amounts of coffee and exercising reduced the predicted age by approximately the same amount. This method can be applied to dried blood spots and may thus be useful in forensic medicine to provide basic anthropometrical measures for an individual based on a biological evidence sample.
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49
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Alexandrov G, Golitsyn G. Biological age from the viewpoint of the thermodynamic theory of ecological systems. Ecol Modell 2015. [DOI: 10.1016/j.ecolmodel.2015.06.022] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
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50
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Dontsov VI, Krut’ko VN. Biological age as a method for systematic assessment of ontogenetic changes in the state of an organism. Russ J Dev Biol 2015. [DOI: 10.1134/s1062360415050033] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
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