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Qiu X, Lu Y, Mu C, Tang P, Liu Y, Huang Y, Luo H, Liu JY, Li X. The Biomarkers in Extreme Longevity: Insights Gained from Metabolomics and Proteomics. Int J Med Sci 2024; 21:2725-2744. [PMID: 39512690 PMCID: PMC11539388 DOI: 10.7150/ijms.98778] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/22/2024] [Accepted: 09/10/2024] [Indexed: 11/15/2024] Open
Abstract
The pursuit of extreme longevity is a popular topic. Advanced technologies such as metabolomics and proteomics have played a crucial role in unraveling complex molecular interactions and identifying novel longevity-related biomarkers in long-lived individuals. This review summarizes key longevity-related biomarkers identified through metabolomics, including high levels of omega-3 polyunsaturated fatty acids (PUFAs), short-chain fatty acids (SCFAs) and sphingolipids, as well as low levels of tryptophan. Proteomics analyses have highlighted longevity-related proteins such as apolipoprotein E (APOE) and pleiotrophin (PTN), along with lower S-nitrosylated and higher glycosylated proteins found from post-translational modification proteomics as potential biomarkers. We discuss the molecular mechanisms that could support the above biomarkers' potential for healthy longevity, including metabolic regulation, immune homeostasis maintenance, and resistance to cellular oxidative stress. Moreover, multi-omics studies of various long-lived cohorts are encompassed, focusing on how the integration of various omics technologies has contributed to the understanding of longevity. This comprehensive review aims to provide new biological insights and pave the way for promoting health span.
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Affiliation(s)
- Xiaorou Qiu
- Zhanjiang Key Laboratory of Human Microecology and Clinical Translation Research, the Marine Biomedical Research Institute, College of Basic Medicine, Guangdong Medical University, Zhanjiang, Guangdong, 524023, China
- Guangdong Key Laboratory of Age-Related Cardiac and Cerebral Diseases, Affiliated Hospital of Guangdong Medical University, Zhanjiang, 524000, China
| | - Yixian Lu
- Zhanjiang Key Laboratory of Human Microecology and Clinical Translation Research, the Marine Biomedical Research Institute, College of Basic Medicine, Guangdong Medical University, Zhanjiang, Guangdong, 524023, China
- Guangdong Key Laboratory of Age-Related Cardiac and Cerebral Diseases, Affiliated Hospital of Guangdong Medical University, Zhanjiang, 524000, China
| | - Chao Mu
- Zhanjiang Key Laboratory of Human Microecology and Clinical Translation Research, the Marine Biomedical Research Institute, College of Basic Medicine, Guangdong Medical University, Zhanjiang, Guangdong, 524023, China
- Guangdong Key Laboratory of Age-Related Cardiac and Cerebral Diseases, Affiliated Hospital of Guangdong Medical University, Zhanjiang, 524000, China
| | - Peihua Tang
- Zhanjiang Key Laboratory of Human Microecology and Clinical Translation Research, the Marine Biomedical Research Institute, College of Basic Medicine, Guangdong Medical University, Zhanjiang, Guangdong, 524023, China
- Guangdong Key Laboratory of Age-Related Cardiac and Cerebral Diseases, Affiliated Hospital of Guangdong Medical University, Zhanjiang, 524000, China
| | - Yueli Liu
- Zhanjiang Key Laboratory of Human Microecology and Clinical Translation Research, the Marine Biomedical Research Institute, College of Basic Medicine, Guangdong Medical University, Zhanjiang, Guangdong, 524023, China
- Guangdong Key Laboratory of Age-Related Cardiac and Cerebral Diseases, Affiliated Hospital of Guangdong Medical University, Zhanjiang, 524000, China
| | - Yongmei Huang
- Zhanjiang Key Laboratory of Human Microecology and Clinical Translation Research, the Marine Biomedical Research Institute, College of Basic Medicine, Guangdong Medical University, Zhanjiang, Guangdong, 524023, China
| | - Hui Luo
- Zhanjiang Key Laboratory of Human Microecology and Clinical Translation Research, the Marine Biomedical Research Institute, College of Basic Medicine, Guangdong Medical University, Zhanjiang, Guangdong, 524023, China
| | - Jun-Yan Liu
- CNTTI of the Institute of Life Sciences & Anesthesia Department of the Second Affiliated Hospital, Chongqing Medical University, Chongqing, 400016, China
- Basic Medicine Research and Innovation Center for Novel Target and Therapeutic Intervention, Chongqing Medical University, Chongqing, 400016, China
| | - Xuemeng Li
- Zhanjiang Key Laboratory of Human Microecology and Clinical Translation Research, the Marine Biomedical Research Institute, College of Basic Medicine, Guangdong Medical University, Zhanjiang, Guangdong, 524023, China
- Guangdong Key Laboratory of Age-Related Cardiac and Cerebral Diseases, Affiliated Hospital of Guangdong Medical University, Zhanjiang, 524000, China
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Haring B, Andrews CA, Hovey K, Shadyab AH, LaCroix A, Martin LW, Rosal MC, Kuller LH, Salmoirago-Blotcher E, Saquib N, Koo P, Laddu D, Stefanick ML, Manson JE, Wassertheil-Smoller S, LaMonte MJ. Systolic Blood Pressure and Survival to Very Old Age: Results From the Women's Health Initiative. Circulation 2024; 149:1568-1577. [PMID: 38623761 DOI: 10.1161/circulationaha.123.067302] [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: 10/01/2023] [Accepted: 03/19/2024] [Indexed: 04/17/2024]
Abstract
BACKGROUND The relationship between systolic blood pressure (SBP) and longevity is not fully understood. We aimed to determine which SBP levels in women ≥65 years of age with or without blood pressure medication were associated with the highest probability of surviving to 90 years of age. METHODS The study population consisted of 16 570 participants enrolled in the Women's Health Initiative who were eligible to survive to 90 years of age by February 28, 2020, without a history of cardiovascular disease, diabetes, or cancer. Blood pressure was measured at baseline (1993 through 1998) and then annually through 2005. The outcome was defined as survival to 90 years of age with follow-up. Absolute probabilities of surviving to 90 years of age were estimated for all combinations of SBP and age using generalized additive logistic regression modeling. The SBP that maximized survival was estimated for each age, and a 95% CI was generated. RESULTS During a median follow-up of 19.8 years, 9723 of 16 570 women (59%) survived to 90 years of age. Women with an SBP between 110 and 130 mm Hg at attained ages of 65, 70, 75, and 80 years had a 38% (95% CI, 34%-48%), 54% (52%-56%), 66% (64%-67%), or 75% (73%-78%) absolute probability to survive to 90 years of age, respectively. The probability of surviving to 90 years of age was lower for greater SBP levels. Women at the attained age of 80 years with 0%, 20%, 40%, 60%, 80%, or 100% time in therapeutic range (defined as an SBP between 110 and 130 mm Hg) had a 66% (64%-69%), 68% (67%-70%), 71% (69%-72%), 73% (71%-74%), 75% (72%-77%), or 77% (74%-79%) absolute survival probability to 90 years of age. CONCLUSIONS For women >65 years of age with low cardiovascular disease and other chronic disease risk, an SBP level <130 mm Hg was found to be associated with longevity. These findings reinforce current guidelines targeting an SBP target <130 mm Hg in older women.
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Affiliation(s)
- Bernhard Haring
- Department of Medicine III, Saarland University, Homburg, Germany (B.H.)
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY (B.H., S.W.-S.)
| | - Chris A Andrews
- Department of Epidemiology and Environmental Health, School of Public Health and Health Professions, University at Buffalo-SUNY, Buffalo, NY (C.A.A., K.H., M.J.L.)
| | - Kathleen Hovey
- Department of Epidemiology and Environmental Health, School of Public Health and Health Professions, University at Buffalo-SUNY, Buffalo, NY (C.A.A., K.H., M.J.L.)
| | - Aladdin H Shadyab
- Division of Geriatrics, Gerontology, and Palliative Care, Department of Medicine (A.H.S.), University of California, San Diego, La Jolla
- Herbert Wertheim School of Public Health and Human Longevity Science (A.H.S., A.L.), University of California, San Diego, La Jolla
| | - Andrea LaCroix
- Herbert Wertheim School of Public Health and Human Longevity Science (A.H.S., A.L.), University of California, San Diego, La Jolla
| | - Lisa Warsinger Martin
- Division of Cardiology, George Washington University School of Medicine and Health Sciences, Washington, DC (L.W.M.)
| | - Milagros C Rosal
- Division of Preventive and Behavioral Medicine, Department of Population and Quantitative Health Sciences, University of Massachusetts Medical School, Worcester (M.C.R.)
| | - Lewis H Kuller
- Department of Epidemiology, University of Pittsburgh, PA (L.H.K.)
| | | | - Nazmus Saquib
- College of Medicine, Sulaiman AlRajhi University, Saudi Arabia (N.S.)
| | - Patrick Koo
- Department of Pulmonary, Critical Care, and Sleep Medicine, Baroness Erlanger Hospital, University of Tennessee College of Medicine Chattanooga (P.K.)
| | - Deepika Laddu
- Department of Physical Therapy, College of Applied Health Sciences, University of Illinois at Chicago (D.L.)
| | - Marcia L Stefanick
- Department of Medicine, Stanford University Medical Center, Palo Alto, CA (M.L.S.)
- Departments of Obstetrics and Gynecology, Stanford University, Palo Alto, CA (M.L.S.)
| | - JoAnn E Manson
- Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA (J.E.M.)
| | - Sylvia Wassertheil-Smoller
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY (B.H., S.W.-S.)
| | - Michael J LaMonte
- Department of Epidemiology and Environmental Health, School of Public Health and Health Professions, University at Buffalo-SUNY, Buffalo, NY (C.A.A., K.H., M.J.L.)
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Haring B, Andrews CA, Hovey K, Shadyab AH, LaCroix A, Martin LW, Rosal MC, Kuller LH, Salmoirago-Blotcher E, Saquib N, Koo P, Laddu D, Stefanick ML, Manson JE, Wassertheil-Smoller S, LaMonte MJ. Systolic Blood Pressure and Survival to Very Old Age. Results from the Women's Health Initiative. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.06.22.23291783. [PMID: 37425845 PMCID: PMC10327241 DOI: 10.1101/2023.06.22.23291783] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/11/2023]
Abstract
Background The association between systolic blood pressure (SBP) and longevity is not fully understood. We aimed to determine survival probabilities to age 90 for various SBP levels among women aged ≥ 65 years with or without BP medication. Methods We analyzed blood pressure data from participants in the Women's Health Initiative (n=16,570) who were aged 65 or older and without history of cardiovascular disease, diabetes or cancer. Blood pressure was measured at baseline (1993-1998) and then annually through 2005. The outcome was defined as survival to age 90 with follow-up until February 28, 2020. Results During a follow-up of 18 years, 9,723 (59%) of 16,570 women survived to age 90. The SBP associated with the highest probability of survival was about 120mmHg regardless of age. Compared to an SBP between 110 and 130 mmHg, women with uncontrolled SBP had a lower survival probability across all age groups and with or without BP medication. A 65-year-old women on BP medication with an interpolated SBP between 110 and 130 mmHg in 80% of the first 5 years of follow-up had a 31% (95% confidence interval, 24%, 38%) absolute survival probability. For those with 20% time in range, the probability was 21% (95% confidence interval, 16%, 26%). Conclusions An SBP level below 130 mmHg was found to be associated with longevity among older women. The longer SBP was controlled at a level between 110 and 130 mmHg, the higher the survival probability to age 90. Preventing age-related rises in SBP and increasing the time with controlled BP levels constitute important measures for achieving longevity.
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Affiliation(s)
- Bernhard Haring
- Department of Medicine III, Saarland University Hospital, Homburg, Saarland, Germany
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Chris A. Andrews
- Department of Epidemiology and Environmental Health, School of Public Health and Health Professions, University at Buffalo – SUNY, Buffalo, NY, USA
| | - Kathleen Hovey
- Department of Epidemiology and Environmental Health, School of Public Health and Health Professions, University at Buffalo – SUNY, Buffalo, NY, USA
| | - Aladdin H. Shadyab
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California, San Diego, La Jolla, CA
| | - Andrea LaCroix
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California, San Diego, La Jolla, CA
| | - Lisa Warsinger Martin
- Division of Cardiology, George Washington University School of Medicine and Health Sciences, Washington, District of Columbia, USA
| | - Milagros C. Rosal
- Division of Preventive and Behavioral Medicine, Department of Population and Quantitative Health Sciences, University of Massachusetts Medical School, Worcester, Massachusetts
| | - Lewis H. Kuller
- Department of Epidemiology, University of Pittsburgh, PA, USA
| | | | - Nazmus Saquib
- College of Medicine, Sulaiman AlRajhi University, Saudi Arabia
| | - Patrick Koo
- Department of Pulmonary, Critical Care, and Sleep Medicine, Baroness Erlanger Hospital, University of Tennessee College of Medicine Chattanooga, Chattanooga, TN, USA
| | - Deepika Laddu
- Department of Physical Therapy, College of Applied Health Sciences, University of Illinois at Chicago, Chicago, IL, USA
| | - Marcia L. Stefanick
- Department of Medicine Stanford University Medical Center Palo Alto CA. Departments of Obstetrics and Gynecology, Stanford University, Palo Alto, CA
| | - JoAnn E. Manson
- Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
| | | | - Michael J. LaMonte
- Department of Epidemiology and Environmental Health, School of Public Health and Health Professions, University at Buffalo – SUNY, Buffalo, NY, USA
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Belenguer-Varea A, Avellana-Zaragoza JA, Inglés M, Cunha-Pérez C, Cuesta-Peredo D, Borrás C, Viña J, Tarazona-Santabalbina FJ. Effect of Familial Longevity on Frailty and Sarcopenia: A Case-Control Study. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2023; 20:1534. [PMID: 36674289 PMCID: PMC9865421 DOI: 10.3390/ijerph20021534] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/28/2022] [Revised: 01/10/2023] [Accepted: 01/12/2023] [Indexed: 06/17/2023]
Abstract
Familial longevity confers advantages in terms of health, functionality, and longevity. We sought to assess potential differences in frailty and sarcopenia in older adults according to a parental history of extraordinary longevity. A total of 176 community-dwelling subjects aged 65-80 years were recruited in this observational case-control study, pair-matched 1:1 for gender, age, and place of birth and residence: 88 centenarians' offspring (case group) and 88 non-centenarians' offspring (control group). The main variables were frailty and sarcopenia based on Fried's phenotype and the European Working Group on Sarcopenia in Older People (EWGSOP) definitions, respectively. Sociodemographics, comorbidities, clinical and functional variables, the presence of geriatric syndromes, and laboratory parameters were also collected. Related sample tests were applied, and conditional logistic regression was performed. Cases had a higher percentage of robust patients (31.8% vs. 15.9%), lower percentages of frailty (9.1% vs. 21.6%) and pre-frailty (59.1% vs. 62.5%) (p = 0.001), and lower levels of IL-6 (p = 0.044) than controls. The robust adjusted OR for cases was 3.00 (95% CI = 1.06-8.47, p = 0.038). No significant differences in muscle mass were found. Familial longevity was also associated with less obesity, insomnia, pain, and polypharmacy and a higher education level and total and low-density lipoprotein cholesterol. The results suggest an inherited genetic component in the frailty phenotype, while the sarcopenia association with familial longevity remains challenging.
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Affiliation(s)
- Angel Belenguer-Varea
- Division of Geriatrics, Hospital Universitario de la Ribera, 46600 Valencia, Spain
- School of Doctorate, Universidad Católica de Valencia San Vicente Martir, 46001 Valencia, Spain
| | - Juan Antonio Avellana-Zaragoza
- Division of Geriatrics, Hospital Universitario de la Ribera, 46600 Valencia, Spain
- School of Doctorate, Universidad Católica de Valencia San Vicente Martir, 46001 Valencia, Spain
| | - Marta Inglés
- Freshage Research Group, Department of Physiotherapy, Faculty of Physiotherapy, University of Valencia, CIBERFES-ISCIII, INCLIVA, 46010 Valencia, Spain
| | - Cristina Cunha-Pérez
- School of Doctorate, Universidad Católica de Valencia San Vicente Martir, 46001 Valencia, Spain
| | - David Cuesta-Peredo
- Department of Quality Management, Hospital Universitario de la Ribera, 46600 Valencia, Spain
| | - Consuelo Borrás
- Freshage Research Group, Department of Physiology, Faculty of Medicine, University of Valencia, CIBERFES-ISCIII, INCLIVA, 46010 Valencia, Spain
| | - José Viña
- Freshage Research Group, Department of Physiology, Faculty of Medicine, University of Valencia, CIBERFES-ISCIII, INCLIVA, 46010 Valencia, Spain
| | - Francisco José Tarazona-Santabalbina
- Division of Geriatrics, Hospital Universitario de la Ribera, 46600 Valencia, Spain
- School of Doctorate, Universidad Católica de Valencia San Vicente Martir, 46001 Valencia, Spain
- Centro de Investigación Biomédica en Red Fragilidad y Envejecimiento Saludable (CIBERFES), 46010 Valencia, Spain
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Zhou J, Gao X, Wei Y, Chen C, Wang J, Zhang Z, Li X, Ye L, Ye J, Liu S, Zhang X, Zhao F, Zhang J, Kraus VB, Lyu Y, Mao C, Shi X. Population Attributable Fractions for Modifiable Factors of Longevity and Healthy Longevity Among the Late-Elderly Aged 75 Years or Older - China, 1998-2018. China CDC Wkly 2023; 5:25-30. [PMID: 36776689 PMCID: PMC9902744 DOI: 10.46234/ccdcw2023.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2022] [Accepted: 11/22/2022] [Indexed: 01/15/2023] Open
Abstract
What is already known about this topic? Limited evidence on healthy longevity was provided in the world, and no studies investigated the fractions of healthy longevity attributed to modifiable factors. What is added by this report? Incidences of longevity and healthy longevity in China are provided. It reveals that the total weighted population attributable fractions for lifestyles and all modifiable factors were 32.8% and 83.7% for longevity, respectively, and 30.4% and 73.4% for healthy longevity, respectively. What are the implications for public health practice? China has a high potential for longevity and healthy longevity. Strategies may be targeted at education and residence in early life as well as healthy lifestyles, disease prevention, and functional optimization in late life.
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Affiliation(s)
- Jinhui Zhou
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Xiang Gao
- Department of Nutrition and Food Hygiene, School of Public Health, Institute of Nutrition, Fudan University, Shanghai, China
| | - Yuan Wei
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
- Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, Jilin, China
| | - Chen Chen
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Jun Wang
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Zhenwei Zhang
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Xinwei Li
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
- Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, Jilin, China
| | - Lihong Ye
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
- School of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Jiaming Ye
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
- Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, Jilin, China
| | - Sixin Liu
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
- Department of Epidemiology, School of Public Health, Southern Medical University, Guangzhou, Guangdong, China
| | - Xiaochang Zhang
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
- Division of Non-communicable Disease and Aging Health Management, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Feng Zhao
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Juan Zhang
- School of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Virginia Byers Kraus
- Duke Molecular Physiology Institute and Division of Rheumatology, Department of Medicine, Duke University School of Medicine, Durham, North Carolina, USA
| | - Yuebin Lyu
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Chen Mao
- Department of Epidemiology, School of Public Health, Southern Medical University, Guangzhou, Guangdong, China
| | - Xiaoming Shi
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
- Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu, China
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6
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Baranova A, Cao H, Teng S, Zhang F. A phenome-wide investigation of risk factors for severe COVID-19. J Med Virol 2023; 95:e28264. [PMID: 36316288 PMCID: PMC9874597 DOI: 10.1002/jmv.28264] [Citation(s) in RCA: 23] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2022] [Revised: 09/14/2022] [Accepted: 10/27/2022] [Indexed: 11/07/2022]
Abstract
With the continued spread of COVID-19 globally, it is crucial to identify the potential risk or protective factors associated with COVID-19. Here, we performed genetic correlation analysis and Mendelian randomization analysis to examine genetic relationships between COVID-19 hospitalization and 405 health conditions and lifestyle factors in 456 422 participants from the UK Biobank. The genetic correlation analysis revealed 134 positive and 65 negative correlations, including those with intakes of a variety of dietary components. The MR analysis indicates that a set of body fat-related traits, maternal smoking around birth, basal metabolic rate, lymphocyte count, peripheral enthesopathies and allied syndromes, blood clots in the leg, and arthropathy are causal risk factors for severe COVID-19, while higher education attainment, physical activity, asthma, and never smoking status protect against the illness. Our findings have implications for risk stratification in patients with COVID-19 and the prevention of its severe outcomes.
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Affiliation(s)
- Ancha Baranova
- School of Systems Biology, George Mason University, Manassas, Virginia, USA.,Research Centre for Medical Genetics, Moscow, Russia
| | - Hongbao Cao
- School of Systems Biology, George Mason University, Manassas, Virginia, USA
| | - Shaolei Teng
- Department of Biology, Howard University, Washington, District of Columbia, USA
| | - Fuquan Zhang
- Institute of Neuropsychiatry, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China.,Department of Psychiatry, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
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Rotar O, Boyarinova M, Moguchaya E, Tolkunova K, Kolosov N, Rezapova V, Freylikhman O, Usoltsev D, Melnik O, Sergushichev A, Solntsev V, Kostareva A, Dubinina E, Voortman T, Stevens C, Daly MJ, Konradi A, Shlyakhto E, Artomov M. Case Report: Supernormal Vascular Aging in Leningrad Siege Survivors. Front Cardiovasc Med 2022; 9:843439. [PMID: 35677697 PMCID: PMC9170230 DOI: 10.3389/fcvm.2022.843439] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/25/2021] [Accepted: 02/18/2022] [Indexed: 12/02/2022] Open
Abstract
Age-related changes in the vascular system play an important role in the biological age and lifespan of a person and maybe affected from an early age onward. One of the indicators of changes in the vascular system is arterial wall stiffness and its main measure, i.e., carotid-femoral pulse wave velocity (cfPWV). We examined arterial wall stiffness in a sample of 305 Leningrad Siege survivors to assess how hunger and stressful conditions during fetal development and early childhood affected the state of the cardiovascular system at a later age and what factors may neutralize the negative impact sustained in early childhood. Here, we presented an evaluation of two unique patients with supernormal vascular aging (SUPERNOVA) phenotype from this cohort and described the details of congruence between hereditary resistance and practiced lifestyle yielding slower biological aging rate.
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Affiliation(s)
- Oxana Rotar
- Almazov National Medical Research Centre, Saint Petersburg, Russia
| | - Maria Boyarinova
- Almazov National Medical Research Centre, Saint Petersburg, Russia
| | | | | | - Nikita Kolosov
- Almazov National Medical Research Centre, Saint Petersburg, Russia
- ITMO University, Saint Petersburg, Russia
- Program in Medical and Population Genetics, Broad Institute, Cambridge, MA, United States
| | - Valeriia Rezapova
- Almazov National Medical Research Centre, Saint Petersburg, Russia
- ITMO University, Saint Petersburg, Russia
- Program in Medical and Population Genetics, Broad Institute, Cambridge, MA, United States
| | - Olga Freylikhman
- Almazov National Medical Research Centre, Saint Petersburg, Russia
| | - Dmitrii Usoltsev
- Almazov National Medical Research Centre, Saint Petersburg, Russia
- ITMO University, Saint Petersburg, Russia
- Program in Medical and Population Genetics, Broad Institute, Cambridge, MA, United States
| | - Olesya Melnik
- Almazov National Medical Research Centre, Saint Petersburg, Russia
| | | | | | - Anna Kostareva
- Almazov National Medical Research Centre, Saint Petersburg, Russia
| | - Elena Dubinina
- Herzen State Pedagogical University of Russia, Saint Petersburg, Russia
- V.M. Bekhterev National Research Medical Center for Psychiatry and Neurology, Saint Petersburg, Russia
| | - Trudy Voortman
- Erasmus Medical Center, Rotterdam, Netherlands
- Division of Nutrition and Health, Wageningen University, Wageningen, Netherlands
| | - Christine Stevens
- Program in Medical and Population Genetics, Broad Institute, Cambridge, MA, United States
| | - Mark J. Daly
- Program in Medical and Population Genetics, Broad Institute, Cambridge, MA, United States
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, United States
- Institute for Molecular Medicine Finland (FIMM), Helsinki, Finland
| | - Alexandra Konradi
- Almazov National Medical Research Centre, Saint Petersburg, Russia
- ITMO University, Saint Petersburg, Russia
| | - Evgeny Shlyakhto
- Almazov National Medical Research Centre, Saint Petersburg, Russia
| | - Mykyta Artomov
- Almazov National Medical Research Centre, Saint Petersburg, Russia
- ITMO University, Saint Petersburg, Russia
- Program in Medical and Population Genetics, Broad Institute, Cambridge, MA, United States
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, United States
- Institute for Molecular Medicine Finland (FIMM), Helsinki, Finland
- *Correspondence: Mykyta Artomov
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8
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Brandts L, van Poppel FW, van den Brandt PA. Parental lifespan and the likelihood of reaching the age of 90 years in the Netherlands Cohort Study. Geriatr Gerontol Int 2020; 21:215-221. [PMID: 33368897 PMCID: PMC7898670 DOI: 10.1111/ggi.14120] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2020] [Revised: 10/12/2020] [Accepted: 11/29/2020] [Indexed: 12/16/2022]
Abstract
Aim Growing evidence suggests an association between parental longevity and lifespan of subsequent generations. We aimed to reproduce earlier findings, showing a positive association between parental longevity and offspring's longevity. Additionally, we investigated whether this is mainly driven by the maternal or paternal germline in male and female offspring. Methods For these analyses, data from the oldest birth cohort (1916–17) of the Netherlands Cohort Study was used. Participants filled in a baseline questionnaire in 1986 (at age 68–70 years). Follow up for vital status information until the age of 90 years (2006–07) was >99.9% complete. Multivariable‐adjusted Cox regression analyses with a fixed follow‐up time were based on 2368 men and 2657 women with complete parental survival data and relevant confounders to calculate risk ratios (RR) of reaching longevity. Results In age‐adjusted models, paternal and maternal age at death were significantly positively associated with reaching 90 years in both male and female offspring. In male offspring, paternal age at death (≥90 years vs <80 years) showed the strongest association with survival to 90 years (RR 1.42, 95% CI 1.07–1.89), after confounder correction. In female offspring, maternal age at death (≥90 years vs <80 years) showed the strongest association with survival to 90 years (RR 1.20, 95% CI 1.04–1.40). Discussion After confounder adjustment, stronger and significant associations were observed between paternal lifespan and male offspring longevity, and maternal lifespan and female offspring longevity. Future research should investigate through which pathways a longer lifespan of parents is transmitted to their offspring. Geriatr Gerontol Int 2021; 21: 215–221.
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Affiliation(s)
- Lloyd Brandts
- GROW - School for Oncology and Developmental Biology, Department of Epidemiology, Maastricht University Medical Center, Maastricht, the Netherlands
| | - Frans Wa van Poppel
- Netherlands Interdisciplinary Demographic Institute (NIDI)/Royal Netherlands Academy of Arts and Sciences (KNAW), The Hague, the Netherlands
| | - Piet A van den Brandt
- GROW - School for Oncology and Developmental Biology, Department of Epidemiology, Maastricht University Medical Center, Maastricht, the Netherlands.,CAPHRI - School for Public Health and Primary Care, Department of Epidemiology, Maastricht University Medical Center, Maastricht, the Netherlands
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Tian Q, Pilling LC, Atkins JL, Melzer D, Ferrucci L. The relationship of parental longevity with the aging brain-results from UK Biobank. GeroScience 2020; 42:1377-1385. [PMID: 32671621 DOI: 10.1007/s11357-020-00227-8] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2020] [Accepted: 07/06/2020] [Indexed: 01/23/2023] Open
Abstract
A few studies report that parental longevity is associated with preserved cognition and physical function and lower risk of Alzheimer's disease. However, data on structural neuroimaging correlates of parental longevity and its spatial distribution are limited. This study aims to examine relationships of parental longevity with regional brain structure and to explore sex differences. We identified 12,970 UK Biobank participants (mean age = 64.4, 51.5%women) with data on parental longevity, regional gray matter volumes, and white matter microstructure. Participants were categorized based on whether at least one parent lived to age 85 or older or neither parent survived to age 85. Associations of parental longevity, maternal, and paternal longevity with each neuroimaging marker of interest were examined using linear regression, adjusted for demographics, APOE e4 status, lifestyle, and cardiometabolic conditions. Compared to participants whose both parents died before 85 (43%), those with at least one parent surviving to 85 (57%) had greater volumes in hippocampus, parahippocampal gyrus, middle temporal lobe, and primary sensorimotor cortex and had lower mean diffusivity in posterior thalamic radiation and uncinate fasciculus. Associations were prominent with maternal longevity. Adjustment for cardiometabolic conditions did not affect observed associations except mean diffusivity in posterior thalamic radiation. There were no structural differences in other areas. Parental longevity is associated with preserved brain structure localized in primary sensorimotor cortex and temporal areas including hippocampus. These relationships are prominent with maternal longevity. Longitudinal studies are needed to determine whether changes in these brain structures account for the association between parental longevity and dementia.
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Affiliation(s)
- Qu Tian
- Translational Gerontology Branch Longitudinal Studies Section, National Institute on Aging, 251 Bayview Blvd., Suite 100, RM 04B316, Baltimore, MD, USA.
| | - Luke C Pilling
- College of Medicine and Health, University of Exeter, Exeter, UK
| | - Janice L Atkins
- College of Medicine and Health, University of Exeter, Exeter, UK
| | - David Melzer
- College of Medicine and Health, University of Exeter, Exeter, UK
| | - Luigi Ferrucci
- Translational Gerontology Branch Longitudinal Studies Section, National Institute on Aging, 251 Bayview Blvd., Suite 100, RM 04B316, Baltimore, MD, USA
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Cardoso RB, Caldas CP, de Souza PA, Brandão MAG, Santana RF. Proposal of Nursing Diagnosis "Readiness for Enhanced Healthy Aging": A Concept Analysis. Int J Nurs Knowl 2020; 32:134-143. [PMID: 32592527 DOI: 10.1111/2047-3095.12296] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2020] [Revised: 06/09/2020] [Accepted: 06/09/2020] [Indexed: 11/28/2022]
Abstract
PURPOSE To analyze the concept of healthy aging and propose the development of a nursing diagnosis METHODS: Concept analysis using the method proposed by Walker and Avant FINDINGS: Four bibliographic databases were searched, and 36 articles were included in the analysis. Seven antecedents, seven attributes, and three consequences for "healthy aging" were identified. CONCLUSIONS The concept analysis supported the development of the new nursing diagnosis "readiness for enhanced healthy aging," which can assist nurses in implementing actions aimed at promoting the health of older adults. IMPLICATION FOR NURSING PRACTICE The establishment of a nursing diagnosis may provide nurses the opportunity to implement interventions that promote the maintenance of functional and cognitive capacity, psychological and spiritual well-being, and social engagement, aiming at healthy aging with high quality of life.
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Affiliation(s)
- Rosane Barreto Cardoso
- Rosane Barreto Cardoso, MS, is a PhD student in Nursing, University of the State of Rio de Janeiro - UERJ, Rio de Janeiro, Brazi
| | - Célia Pereira Caldas
- Célia Pereira Caldas, RN, PhD, is a Full Professor at Public Health Department, Nursing College, University of the State of Rio de Janeiro - UERJ, Rio de Janeiro, Brazil
| | - Priscilla Alfradique de Souza
- Priscilla Alfradique De Souza, RN, PhD, is an Assistant Professor at the Alfredo Pinto School of Nursing, Federal University of the State of Rio de Janeiro - UNIRIO, Rio de Janeiro, Brazil
| | - Marcos Antônio Gomes Brandão
- Marcos Antônio Gomes Brandão, RN, MSN, PhD, is an Associate Professor at Anna Nery School of Nursing, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil
| | - Rosimere Ferreira Santana
- Rosimere Ferreira Santana, RN, PhD, is an Associate Professor at the School of Nursing, Federal Fluminense University, Niterói, Rio de Janeiro, Brazil
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Arroyo-Quiroz C, Brunauer R, Alavez S. Factors associated with healthy aging in septuagenarian and nonagenarian Mexican adults. Maturitas 2019; 131:21-27. [PMID: 31787143 DOI: 10.1016/j.maturitas.2019.10.008] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2019] [Revised: 08/31/2019] [Accepted: 10/12/2019] [Indexed: 12/20/2022]
Abstract
OBJECTIVE To examine the factors associated with healthy aging in a cohort of Mexican adults after a follow-up of 14 years. STUDY DESIGN Participants were part of a prospective cohort of the Mexican Healthy Aging Study (MHAS), from which we included 5142 individuals aged 63 years or more. MAIN OUTCOME Healthy aging, defined as reaching age 77 or 90 without major chronic conditions or physical limitations. MEASURES Information on age, education, marital status, smoking, alcohol consumption, physical activity, self-perceived depression, health conditions and history of age-related diseases was collected at baseline and follow-up. RESULTS Among the overall cohort, 57.8% experienced healthy survival to age 77 and 42.2% had died before age 77 or were undergoing normal aging. Participants with long-lived parents and who exercised had a lower risk of being non-healthy agers. Being overweight, obese or a smoker increased the risk of being a non-healthy ager. Physically active participants had increased odds of healthy aging at age 77 (OR: 1.17; 95% CI: 1.01-1.46) and at age 90 (OR: 1.5; 95% CI: 1.01-2.24). Depression had a negative relationship with healthy aging at age 90 (OR: 0.66; 95% CI: 0.45- 0.97). Maternal longevity was associated with healthy aging only at age 77 (OR = 1.34; 95% CI: 1.04-1.72). CONCLUSIONS Our findings support the view that a combination of genetic and behavioral factors is associated with healthy aging. In accordance with findings in Caucasian populations, our data suggest for the first time that there might also be a genetic determinant for healthy ageing in Latin Americans.
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Affiliation(s)
- Carmen Arroyo-Quiroz
- Departamento de Ciencias de la Salud, Universidad Autónoma Metropolitana, Unidad Lerma, Estado de México, México. Av. de las Garzas No. 10 Lerma, Edo. Mex. 52005, Mexico.
| | - Regina Brunauer
- Department of Veterinary Physiology and Pharmacology, College of Veterinary Medicine and Biomedical Sciences, Texas A&M University, 1197 VMR Building, College Station, TX 77843-4466, USA.
| | - Silvestre Alavez
- Departamento de Ciencias de la Salud, Universidad Autónoma Metropolitana, Unidad Lerma, Estado de México, México. Av. de las Garzas No. 10 Lerma, Edo. Mex. 52005, Mexico; Centro de Ciencias de la Complejidad (C3), Universidad Nacional Autónoma de México, México City, Mexico.
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