1
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Till C, Goodman PJ, Tangen C, Scott Lucia M, Thompson IM. Letter: Survival After Selenium and Vitamin E Supplementation: Long-Term Followup of the Selenium and Vitamin E Cancer Prevention Trial. J Urol 2024; 212:228-229. [PMID: 38657020 PMCID: PMC11218905 DOI: 10.1097/ju.0000000000003937] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2024] [Accepted: 03/18/2024] [Indexed: 04/26/2024]
Affiliation(s)
| | | | | | | | - Ian M Thompson
- University of Texas Health Science Center at San
Antonio
- CHRISTUS Santa Rosa Health System
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2
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Bierhoff H. [Genetics, epigenetics, and environmental factors in life expectancy-What role does nature-versus-nurture play in aging?]. Bundesgesundheitsblatt Gesundheitsforschung Gesundheitsschutz 2024; 67:521-527. [PMID: 38637469 PMCID: PMC11093831 DOI: 10.1007/s00103-024-03873-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2023] [Accepted: 03/20/2024] [Indexed: 04/20/2024]
Abstract
In Germany and worldwide, the average age of the population is continuously rising. With this general increase in chronological age, the focus on biological age, meaning the actual health and fitness status, is becoming more and more important. The key question is to what extent the age-related decline in fitness is genetically predetermined or malleable by environmental factors and lifestyle.Many epigenetic studies in aging research have provided interesting insights in this nature-versus-nurture debate. In most model organisms, aging is associated with specific epigenetic changes, which can be countered by certain interventions like moderate caloric restriction or increased physical activity. Since these interventions also have positive effects on lifespan and health, epigenetics appears to be the interface between environmental factors and the aging process. This notion is supported by the fact that an epigenetic drift occurs through the life course of identical twins, which is related to the different manifestations of aging symptoms. Furthermore, biological age can be determined with high precision based on DNA methylation patterns, further emphasizing the importance of epigenetics in aging.This article provides an overview of the importance of genetic and epigenetic parameters for life expectancy. A major focus will be on the possibilities of maintaining a young epigenome through lifestyle and environmental factors, thereby slowing down biological aging.
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Affiliation(s)
- Holger Bierhoff
- Institut für Biochemie und Biophysik, Friedrich-Schiller-Universität Jena, Hans-Knöll-Straße 2, 07745, Jena, Deutschland.
- Leibniz-Institut für Alternsforschung - Fritz-Lipmann-Institut (FLI), Jena, Deutschland.
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3
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de Kat AC, Roelofs F, Slagboom PE, Broekmans FJM, Beekman M, Berg NVD. Late reproduction is associated with extended female survival but not with familial longevity. Reprod Biomed Online 2024; 49:104073. [PMID: 38964280 DOI: 10.1016/j.rbmo.2024.104073] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2023] [Revised: 04/03/2024] [Accepted: 04/09/2024] [Indexed: 07/06/2024]
Abstract
RESEARCH QUESTION Are age at last childbirth and number of children, as facets of female reproductive health, related to individual lifespan or familial longevity? DESIGN This observational study included 10,255 female participants from a multigenerational historical cohort, the LINKing System for historical family reconstruction (LINKS), and 1258 female participants from 651 long-lived families in the Leiden Longevity Study (LLS). Age at last childbirth and number of children, as outcomes of reproductive success, were compared with individual and familial longevity using the LINKS dataset. In addition, the genetic predisposition in the form of a polygenic risk score (PRS) for age at menopause was studied in relation to familial longevity using the LLS dataset. RESULTS For each year increase in the age of the birth of the last child, a woman's lifespan increased by 0.06 years (22 days; P = 0.002). The yearly risk for having a last child was 9% lower in women who survived to the oldest 10% of their birth cohort (hazard ratio 0.91, 95% CI 0.86-0.95). Women who came from long-living families did not have a higher mean age of last childbirth. There was no significant association between familial longevity and genetic predisposition to age at menopause. CONCLUSIONS Female reproductive health associates with a longer lifespan. Familial longevity does not associate to extended reproductive health. Other factors in somatic maintenance that support a longer lifespan are likely to have an impact on reproductive health.
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Affiliation(s)
- Annelien C de Kat
- Department of Reproductive Medicine and Gynecology, University Medical Center Utrecht, Utrecht, The Netherlands..
| | - Femke Roelofs
- Department of Reproductive Medicine and Gynecology, University Medical Center Utrecht, Utrecht, The Netherlands
| | - P Eline Slagboom
- Section of Molecular Epidemiology, Department of Biomedical Data Sciences, Leiden University Medical Center, Leiden, The Netherlands
| | - Frank J M Broekmans
- Department of Reproductive Medicine and Gynecology, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Marian Beekman
- Section of Molecular Epidemiology, Department of Biomedical Data Sciences, Leiden University Medical Center, Leiden, The Netherlands
| | - Niels van den Berg
- Section of Molecular Epidemiology, Department of Biomedical Data Sciences, Leiden University Medical Center, Leiden, The Netherlands
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4
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Ai X, Liu Y, Shi J, Xie X, Li L, Duan R, Lv Y, Xiong K, Miao Y, Zhang Y. Structural characteristics of gut microbiota in longevity from Changshou town, Hubei, China. Appl Microbiol Biotechnol 2024; 108:300. [PMID: 38619710 PMCID: PMC11018559 DOI: 10.1007/s00253-024-13140-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2023] [Revised: 03/26/2024] [Accepted: 04/03/2024] [Indexed: 04/16/2024]
Abstract
The gut microbiota (GM) and its potential functions play a crucial role in maintaining host health and longevity. The aim of this study was to investigate the potential relationship between GM and longevity. We collected fecal samples from 92 healthy volunteers (middle-aged and elderly: 43-79 years old; longevity: ≥ 90 years old) from Changshou Town, Zhongxiang City, Hubei, China. In addition, we collected samples from 30 healthy middle-aged and elderly controls (aged 51-70 years) from Wuhan, Hubei. The 16S rDNA V3 + V4 region of the fecal samples was sequenced using high-throughput sequencing technology. Diversity analysis results showed that the elderly group with longevity and the elderly group with low body mass index (BMI) exhibited higher α diversity. However, no significant difference was observed in β diversity. The results of the microbiome composition indicate that Firmicutes, Proteobacteria, and Bacteroidota are the core phyla in all groups. Compared to younger elderly individuals, Akkermansia and Lactobacillus are significantly enriched in the long-lived elderly group, while Megamonas is significantly reduced. In addition, a high abundance of Akkermansia is a significant characteristic of elderly populations with low BMI values. Furthermore, the functional prediction results showed that the elderly longevity group had higher abilities in short-chain fatty acid metabolism, amino acid metabolism, and xenobiotic biodegradation. Taken together, our study provides characteristic information on GM in the long-lived elderly population in Changshou Town. This study can serve as a valuable addition to the current research on age-related GM. KEY POINTS: • The gut microbiota of elderly individuals with longevity and low BMI exhibit higher alpha diversity • Gut microbiota diversity did not differ significantly between genders in the elderly population • Several potentially beneficial bacteria (e.g., Akkermansia and Lactobacillus) are enriched in long-lived individuals.
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Affiliation(s)
- Xu Ai
- Jingmen Central Hospital, Hubei Clinical Medical Research Center for Functional Colorectal Diseases, Jingmen, 448000, Hubei, China
| | - Yu Liu
- Jingmen Central Hospital, Hubei Clinical Medical Research Center for Functional Colorectal Diseases, Jingmen, 448000, Hubei, China
| | - Jinrong Shi
- Jingmen Central Hospital, Hubei Clinical Medical Research Center for Functional Colorectal Diseases, Jingmen, 448000, Hubei, China
| | - Xiongwei Xie
- Jingmen Central Hospital, Hubei Clinical Medical Research Center for Functional Colorectal Diseases, Jingmen, 448000, Hubei, China
| | - Linzi Li
- Jingmen Central Hospital, Hubei Clinical Medical Research Center for Functional Colorectal Diseases, Jingmen, 448000, Hubei, China
| | - Rui Duan
- Jingmen Central Hospital, Hubei Clinical Medical Research Center for Functional Colorectal Diseases, Jingmen, 448000, Hubei, China
| | - Yongling Lv
- Maintainbiotech. Ltd. (Wuhan), Wuhan, 430000, Hubei, China
| | - Kai Xiong
- Maintainbiotech. Ltd. (Wuhan), Wuhan, 430000, Hubei, China
| | - Yuanxin Miao
- Research Institute of Agricultural Biotechnology, Jingchu University of Technology, Jingmen, 448000, Hubei, China.
| | - Yonglian Zhang
- Jingmen Central Hospital, Hubei Clinical Medical Research Center for Functional Colorectal Diseases, Jingmen, 448000, Hubei, China.
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Cherbuin N, Patel H, Walsh EI, Ambikairajah A, Burns R, Brüstle A, Rasmussen LJ. Cognitive Function Is Associated with the Genetically Determined Efficiency of DNA Repair Mechanisms. Genes (Basel) 2024; 15:153. [PMID: 38397143 PMCID: PMC10888195 DOI: 10.3390/genes15020153] [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: 11/09/2023] [Revised: 01/18/2024] [Accepted: 01/22/2024] [Indexed: 02/25/2024] Open
Abstract
Several modifiable risk factors for neurodegeneration and dementia have been identified, although individuals vary in their vulnerability despite a similar risk of exposure. This difference in vulnerability could be explained at least in part by the variability in DNA repair mechanisms' efficiency between individuals. Therefore, the aim of this study was to test associations between documented, prevalent genetic variation (single nucleotide polymorphism, SNP) in DNA repair genes, cognitive function, and brain structure. Community-living participants (n = 488,159; 56.54 years (8.09); 54.2% female) taking part in the UK Biobank study and for whom cognitive and genetic measures were available were included. SNPs in base excision repair (BER) genes of the bifunctional DNA glycosylases OGG1 (rs1052133, rs104893751), NEIL1 (rs7402844, rs5745906), NEIL2 (rs6601606), NEIL3 (rs10013040, rs13112390, rs13112358, rs1395479), MUTYH (rs34612342, rs200165598), NTHL1 (rs150766139, rs2516739) were considered. Cognitive measures included fluid intelligence, the symbol-digit matching task, visual matching, and trail-making. Hierarchical regression and latent class analyses were used to test the associations between SNPs and cognitive measures. Associations between SNPs and brain measures were also tested in a subset of 39,060 participants. Statistically significant associations with cognition were detected for 12 out of the 13 SNPs analyzed. The strongest effects amounted to a 1-6% difference in cognitive function detected for NEIL1 (rs7402844), NEIL2 (rs6601606), and NTHL1 (rs2516739). Associations varied by age and sex, with stronger effects detected in middle-aged women. Weaker associations with brain measures were also detected. Variability in some BER genes is associated with cognitive function and brain structure and may explain variability in the risk for neurodegeneration and dementia.
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Affiliation(s)
- Nicolas Cherbuin
- National Centre for Epidemiology and Population Health, Australian National University, Canberra 2601, Australia; (E.I.W.); (A.A.); (R.B.)
| | - Hardip Patel
- John Curtin School of Medical Research, Australian National University, Canberra 2601, Australia; (H.P.); (A.B.)
| | - Erin I. Walsh
- National Centre for Epidemiology and Population Health, Australian National University, Canberra 2601, Australia; (E.I.W.); (A.A.); (R.B.)
| | - Ananthan Ambikairajah
- National Centre for Epidemiology and Population Health, Australian National University, Canberra 2601, Australia; (E.I.W.); (A.A.); (R.B.)
- Discipline of Psychology, University of Canberra, Canberra 2617, Australia
- Centre for Ageing Research and Translation, Faculty of Health, University of Canberra, Canberra 2617, Australia
| | - Richard Burns
- National Centre for Epidemiology and Population Health, Australian National University, Canberra 2601, Australia; (E.I.W.); (A.A.); (R.B.)
| | - Anne Brüstle
- John Curtin School of Medical Research, Australian National University, Canberra 2601, Australia; (H.P.); (A.B.)
| | - Lene Juel Rasmussen
- Department of Cellular and Molecular Medicine, Center for Healthy Aging, University of Copenhagen, 2200 Copenhagen, Denmark;
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Sol J, Ortega-Bravo M, Portero-Otín M, Piñol-Ripoll G, Ribas-Ripoll V, Artigues-Barberà E, Butí M, Pamplona R, Jové M. Human lifespan and sex-specific patterns of resilience to disease: a retrospective population-wide cohort study. BMC Med 2024; 22:17. [PMID: 38185624 PMCID: PMC10773063 DOI: 10.1186/s12916-023-03206-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/27/2023] [Accepted: 11/30/2023] [Indexed: 01/09/2024] Open
Abstract
BACKGROUND Slower paces of aging are related to lower risk of developing diseases and premature death. Therefore, the greatest challenge of modern societies is to ensure that the increase in lifespan is accompanied by an increase in health span. To better understand the differences in human lifespan, new insight concerning the relationship between lifespan and the age of onset of diseases, and the ability to avoid them is needed. We aimed to comprehensively study, at a population-wide level, the sex-specific disease patterns associated with human lifespan. METHODS Observational data from the SIDIAP database of a cohort of 482,058 individuals that died in Catalonia (Spain) at ages over 50 years old between the 1st of January 2006 and the 30th of June 2022 were included. The time to the onset of the first disease in multiple organ systems, the prevalence of escapers, the percentage of life free of disease, and their relationship with lifespan were evaluated considering sex-specific traits. RESULTS In the study cohort, 50.4% of the participants were women and the mean lifespan was 83 years. The results show novel relationships between the age of onset of disease, health span, and lifespan. The key findings include: Firstly, the onset of both single and multisystem diseases is progressively delayed as lifespan increases. Secondly, the prevalence of escapers is lower in lifespans around life expectancy. Thirdly, the number of disease-free systems decreases until individuals reach lifespans around 87-88 years old, at which point it starts to increase. Furthermore, long-lived women are less susceptible to multisystem diseases. The associations between health span and lifespan are system-dependent, and disease onset and the percentage of life spent free of disease at the time of death contribute to explaining lifespan variability. Lastly, the study highlights significant system-specific disparities between women and men. CONCLUSIONS Health interventions focused on delaying aging and age-related diseases should be the most effective in increasing not only lifespan but also health span. The findings of this research highlight the relevance of Electronic Health Records in studying the aging process and open up new possibilities in age-related disease prevention that should assist primary care professionals in devising individualized care and treatment plans.
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Affiliation(s)
- Joaquim Sol
- Catalan Health Institute (ICS), Lleida Research Support Unit (USR), Fundació Institut Universitari per a la Recerca en Atenció Primària de Salut Jordi Gol i Gurina (IDIAP JGol), Lleida, Spain
- Department of Experimental Medicine, University of Lleida-Lleida Biomedical Research Institute (UdL-IRBLleida), Lleida, Spain
| | - Marta Ortega-Bravo
- Catalan Health Institute (ICS), Lleida Research Support Unit (USR), Fundació Institut Universitari per a la Recerca en Atenció Primària de Salut Jordi Gol i Gurina (IDIAP JGol), Lleida, Spain.
| | - Manuel Portero-Otín
- Department of Experimental Medicine, University of Lleida-Lleida Biomedical Research Institute (UdL-IRBLleida), Lleida, Spain
| | - Gerard Piñol-Ripoll
- Unitat Trastorns Cognitius, Clinical Neuroscience Research, Santa Maria University Hospital, IRBLleida, Lleida, Spain
| | | | - Eva Artigues-Barberà
- Catalan Health Institute (ICS), Lleida Research Support Unit (USR), Fundació Institut Universitari per a la Recerca en Atenció Primària de Salut Jordi Gol i Gurina (IDIAP JGol), Lleida, Spain
| | - Miquel Butí
- Catalan Health Institute (ICS), Lleida Research Support Unit (USR), Fundació Institut Universitari per a la Recerca en Atenció Primària de Salut Jordi Gol i Gurina (IDIAP JGol), Lleida, Spain
| | - Reinald Pamplona
- Department of Experimental Medicine, University of Lleida-Lleida Biomedical Research Institute (UdL-IRBLleida), Lleida, Spain
| | - Mariona Jové
- Department of Experimental Medicine, University of Lleida-Lleida Biomedical Research Institute (UdL-IRBLleida), Lleida, Spain.
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7
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Galvin A, Pedersen JK, Wojczynski MK, Ukraintseva S, Arbeev K, Feitosa M, Province MA, Christensen K. The Protective Effect of Familial Longevity Persists After Age 100: Findings From the Danish National Registers. J Gerontol A Biol Sci Med Sci 2024; 79:glad164. [PMID: 37449765 PMCID: PMC10733167 DOI: 10.1093/gerona/glad164] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2023] [Indexed: 07/18/2023] Open
Abstract
BACKGROUND A recent study suggested that the protective effect of familial longevity becomes negligible for centenarians. However, the authors assessed the dependence on familial longevity in centenarians by comparing centenarians with 1 parent surviving to age 80+ to centenarians whose same-sexed parent did not survive to age 80. Here we test whether the protective effect of familial longevity persists after age 100 using more restrictive definitions of long-lived families. METHODS Long-lived sibships were identified through 3 nationwide, consecutive studies in Denmark, including families with either at least 2 siblings aged 90+ or a Family Longevity Selection Score (FLoSS) above 7. Long-lived siblings enrolled in these studies and who reached age 100 were included. For each sibling, 5 controls matched on sex and year of birth were randomly selected among centenarians in the Danish population. Survival time from age 100 was described with Kaplan-Meier curves for siblings and controls separately. Survival analyses were performed using stratified Cox proportional hazards models. RESULTS A total of 340 individuals from long-lived sibships who survived to age 100 and 1 700 controls were included. Among the long-lived siblings and controls, 1 650 (81%) were women. The results showed that long-lived siblings presented better overall survival after age 100 than sporadic long-livers (hazard ratio [HR] = 0.80, 95% confidence interval [CI] = 0.71-0.91), with even lower estimate (HR = 0.65, 95% CI = 0.50-0.85) if familial longevity was defined by FLoSS. CONCLUSIONS The present study, with virtually no loss to follow-up, demonstrated a persistence of protective effect of familial longevity after age 100.
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Affiliation(s)
- Angéline Galvin
- Epidemiology, Biostatistics, and Biodemography Team, Department of Public Health, University of Southern Denmark, Odense, Denmark
| | - Jacob Krabbe Pedersen
- Epidemiology, Biostatistics, and Biodemography Team, Department of Public Health, University of Southern Denmark, Odense, Denmark
- The Danish Aging Research Center, Department of Public Health, University of Southern Denmark, Odense, Denmark
| | - Mary K Wojczynski
- Division of Statistical Genomics, Department of Genetics, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Svetlana Ukraintseva
- Biodemography of Aging Research Unit, Social Science Research Institute, Duke University, Durham, North Carolina, USA
| | - Konstantin Arbeev
- Biodemography of Aging Research Unit, Social Science Research Institute, Duke University, Durham, North Carolina, USA
| | - Mary Feitosa
- Division of Statistical Genomics, Department of Genetics, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Michael A Province
- Division of Statistical Genomics, Department of Genetics, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Kaare Christensen
- Epidemiology, Biostatistics, and Biodemography Team, Department of Public Health, University of Southern Denmark, Odense, Denmark
- The Danish Aging Research Center, Department of Public Health, University of Southern Denmark, Odense, Denmark
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8
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Salekeen R, Lustgarten MS, Khan U, Islam KMD. Model organism life extending therapeutics modulate diverse nodes in the drug-gene-microbe tripartite human longevity interactome. J Biomol Struct Dyn 2024; 42:393-411. [PMID: 36970862 DOI: 10.1080/07391102.2023.2192823] [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: 10/17/2022] [Accepted: 03/13/2023] [Indexed: 03/29/2023]
Abstract
Advances in antiaging drug/lead discovery in animal models constitute a large body of literature on novel senotherapeutics and geroprotectives. However, with little direct evidence or mechanism of action in humans-these drugs are utilized as nutraceuticals or repurposed supplements without proper testing directions, appropriate biomarkers, or consistent in-vivo models. In this study, we take previously identified drug candidates that have significant evidence of prolonging lifespan and promoting healthy aging in model organisms, and simulate them in human metabolic interactome networks. Screening for drug-likeness, toxicity, and KEGG network correlation scores, we generated a library of 285 safe and bioavailable compounds. We interrogated this library to present computational modeling-derived estimations of a tripartite interaction map of animal geroprotective compounds in the human molecular interactome extracted from longevity, senescence, and dietary restriction-associated genes. Our findings reflect previous studies in aging-associated metabolic disorders, and predict 25 best-connected drug interactors including Resveratrol, EGCG, Metformin, Trichostatin A, Caffeic Acid and Quercetin as direct modulators of lifespan and healthspan-associated pathways. We further clustered these compounds and the functionally enriched subnetworks therewith to identify longevity-exclusive, senescence-exclusive, pseudo-omniregulators and omniregulators within the set of interactome hub genes. Additionally, serum markers for drug-interactions, and interactions with potentially geroprotective gut microbial species distinguish the current study and present a holistic depiction of optimum gut microbial alteration by candidate drugs. These findings provide a systems level model of animal life-extending therapeutics in human systems, and act as precursors for expediting the ongoing global effort to find effective antiaging pharmacological interventions.Communicated by Ramaswamy H. Sarma.
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Affiliation(s)
- Rahagir Salekeen
- Biotechnology and Genetic Engineering Discipline, Life Science School, Khulna University, Khulna, Bangladesh
| | - Michael S Lustgarten
- Nutrition, Exercise Physiology, and Sarcopenia Laboratory, Jean Mayer USDA Human Nutrition Research Center, Tufts University, Boston, MA, USA
| | - Umama Khan
- Biotechnology and Genetic Engineering Discipline, Life Science School, Khulna University, Khulna, Bangladesh
| | - Kazi Mohammed Didarul Islam
- Biotechnology and Genetic Engineering Discipline, Life Science School, Khulna University, Khulna, Bangladesh
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Scieszka D, Bolt AM, McCormick MA, Brigman JL, Campen MJ. Aging, longevity, and the role of environmental stressors: a focus on wildfire smoke and air quality. FRONTIERS IN TOXICOLOGY 2023; 5:1267667. [PMID: 37900096 PMCID: PMC10600394 DOI: 10.3389/ftox.2023.1267667] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2023] [Accepted: 09/25/2023] [Indexed: 10/31/2023] Open
Abstract
Aging is a complex biological process involving multiple interacting mechanisms and is being increasingly linked to environmental exposures such as wildfire smoke. In this review, we detail the hallmarks of aging, emphasizing the role of telomere attrition, cellular senescence, epigenetic alterations, proteostasis, genomic instability, and mitochondrial dysfunction, while also exploring integrative hallmarks - altered intercellular communication and stem cell exhaustion. Within each hallmark of aging, our review explores how environmental disasters like wildfires, and their resultant inhaled toxicants, interact with these aging mechanisms. The intersection between aging and environmental exposures, especially high-concentration insults from wildfires, remains under-studied. Preliminary evidence, from our group and others, suggests that inhaled wildfire smoke can accelerate markers of neurological aging and reduce learning capabilities. This is likely mediated by the augmentation of circulatory factors that compromise vascular and blood-brain barrier integrity, induce chronic neuroinflammation, and promote age-associated proteinopathy-related outcomes. Moreover, wildfire smoke may induce a reduced metabolic, senescent cellular phenotype. Future interventions could potentially leverage combined anti-inflammatory and NAD + boosting compounds to counter these effects. This review underscores the critical need to study the intricate interplay between environmental factors and the biological mechanisms of aging to pave the way for effective interventions.
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Affiliation(s)
- David Scieszka
- Department of Pharmaceutical Sciences, College of Pharmacy, University of New Mexico Health Sciences Center, Albuquerque, NM, United States
| | - Alicia M. Bolt
- Department of Pharmaceutical Sciences, College of Pharmacy, University of New Mexico Health Sciences Center, Albuquerque, NM, United States
| | - Mark A. McCormick
- Department of Biochemistry and Molecular Biology, School of Medicine, University of New Mexico Health Sciences Center, Albuquerque, NM, United States
| | - Jonathan L. Brigman
- Department of Neurosciences, School of Medicine, University of New Mexico Health Sciences Center, Albuquerque, NM, United States
| | - Matthew J. Campen
- Department of Pharmaceutical Sciences, College of Pharmacy, University of New Mexico Health Sciences Center, Albuquerque, NM, United States
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10
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Simoes EJ, Ramos LR. The Role of Healthy Diet and Lifestyle in Centenarians. Nutrients 2023; 15:4293. [PMID: 37836577 PMCID: PMC10574171 DOI: 10.3390/nu15194293] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2023] [Accepted: 09/27/2023] [Indexed: 10/15/2023] Open
Abstract
Life expectancy at birth (hereafter, life expectancy) and longevity are established indicators of population health [...].
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Affiliation(s)
- Eduardo J. Simoes
- Department of Biomedical Informatics, Biostatistics and Medical Epidemiology, School of Medicine, University of Missouri, Columbia, MO 65212, USA
| | - Luiz R. Ramos
- Department of Preventive Medicine, Federal University of Sao Paulo, São Paulo 04024-002, Brazil;
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11
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Caruso C, Puca AA. Special Issue "Centenarians-A Model to Study the Molecular Basis of Lifespan and Healthspan 2.0". Int J Mol Sci 2023; 24:13180. [PMID: 37685989 PMCID: PMC10488218 DOI: 10.3390/ijms241713180] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2023] [Accepted: 08/23/2023] [Indexed: 09/10/2023] Open
Abstract
The global population is experiencing an increase in ageing and life expectancy [...].
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Affiliation(s)
- Calogero Caruso
- Laboratory of Immunopathology and Immunosenescence, Department of Biomedicine, Neuroscience and Advanced Diagnostics, University of Palermo, 90134 Palermo, Italy
| | - Annibale Alessandro Puca
- Department of Medicine, Surgery and Dentistry “Scuola Medica Salernitana”, University of Salerno, 84081 Fisciano, Italy;
- Cardiovascular Research Unit, IRCCS MultiMedica, 20138 Milan, Italy
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12
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van den Berg N, Rodríguez-Girondo M, van Dijk IK, Slagboom PE, Beekman M. Increasing number of long-lived ancestors marks a decade of healthspan extension and healthier metabolomics profiles. Nat Commun 2023; 14:4518. [PMID: 37500622 PMCID: PMC10374564 DOI: 10.1038/s41467-023-40245-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2022] [Accepted: 07/10/2023] [Indexed: 07/29/2023] Open
Abstract
Globally, the lifespan of populations increases but the healthspan is lagging behind. Previous research showed that survival into extreme ages (longevity) clusters in families as illustrated by the increasing lifespan of study participants with each additional long-lived family member. Here we investigate whether the healthspan in such families follows a similar quantitative pattern using three-generational data from two databases, LLS (Netherlands), and SEDD (Sweden). We study healthspan in 2143 families containing index persons with 26 follow-up years and two ancestral generations, comprising 17,539 persons. Our results provide strong evidence that an increasing number of long-lived ancestors associates with up to a decade of healthspan extension. Further evidence indicates that members of long-lived families have a delayed onset of medication use, multimorbidity and, in mid-life, healthier metabolomic profiles than their partners. We conclude that both lifespan and healthspan are quantitatively linked to ancestral longevity, making family data invaluable to identify protective mechanisms of multimorbidity.
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Affiliation(s)
- Niels van den Berg
- Department of Biomedical Data Sciences, section of Molecular Epidemiology, Leiden University Medical Center, Albinusdreef 2, 2333 ZA, Leiden, the Netherlands.
- Centre for Economic Demography, Department of Economic History, Lund University, Scheelevägen 15B, 223 63, Lund, Sweden.
| | - Mar Rodríguez-Girondo
- Department of Biomedical Data Sciences, section of Medical Statistics, Leiden University Medical Center, Albinusdreef 2, 2333 ZA, Leiden, the Netherlands
| | - Ingrid K van Dijk
- Centre for Economic Demography, Department of Economic History, Lund University, Scheelevägen 15B, 223 63, Lund, Sweden
| | - P Eline Slagboom
- Department of Biomedical Data Sciences, section of Molecular Epidemiology, Leiden University Medical Center, Albinusdreef 2, 2333 ZA, Leiden, the Netherlands
- Max Planck Institute for Biology of Ageing, Joseph-Stelzmann-Str. 9b, D-50931, Cologne, Germany
| | - Marian Beekman
- Department of Biomedical Data Sciences, section of Molecular Epidemiology, Leiden University Medical Center, Albinusdreef 2, 2333 ZA, Leiden, the Netherlands
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13
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Liu X, Zou L, Nie C, Qin Y, Tong X, Wang J, Yang H, Xu X, Jin X, Xiao L, Zhang T, Min J, Zeng Y, Jia H, Hou Y. Mendelian randomization analyses reveal causal relationships between the human microbiome and longevity. Sci Rep 2023; 13:5127. [PMID: 36991009 PMCID: PMC10052271 DOI: 10.1038/s41598-023-31115-8] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2022] [Accepted: 03/07/2023] [Indexed: 03/31/2023] Open
Abstract
Although recent studies have revealed the association between the human microbiome especially gut microbiota and longevity, their causality remains unclear. Here, we assess the causal relationships between the human microbiome (gut and oral microbiota) and longevity, by leveraging bidirectional two-sample Mendelian randomization (MR) analyses based on genome-wide association studies (GWAS) summary statistics of the gut and oral microbiome from the 4D-SZ cohort and longevity from the CLHLS cohort. We found that some disease-protected gut microbiota such as Coriobacteriaceae and Oxalobacter as well as the probiotic Lactobacillus amylovorus were related to increased odds of longevity, whereas the other gut microbiota such as colorectal cancer pathogen Fusobacterium nucleatum, Coprococcus, Streptococcus, Lactobacillus, and Neisseria were negatively associated with longevity. The reverse MR analysis further revealed genetically longevous individuals tended to have higher abundances of Prevotella and Paraprevotella but lower abundances of Bacteroides and Fusobacterium species. Few overlaps of gut microbiota-longevity interactions were identified across different populations. We also identified abundant links between the oral microbiome and longevity. The additional analysis suggested that centenarians genetically had a lower gut microbial diversity, but no difference in oral microbiota. Our findings strongly implicate these bacteria to play a role in human longevity and underscore the relocation of commensal microbes among different body sites that would need to be monitored for long and healthy life.
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Affiliation(s)
- Xiaomin Liu
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing, 100049, China
- BGI-Shenzhen, Shenzhen, 518083, China
| | | | - Chao Nie
- BGI-Shenzhen, Shenzhen, 518083, China
| | | | - Xin Tong
- BGI-Shenzhen, Shenzhen, 518083, China
| | - Jian Wang
- BGI-Shenzhen, Shenzhen, 518083, China
- James D. Watson Institute of Genome Sciences, Hangzhou, 310058, China
| | - Huanming Yang
- BGI-Shenzhen, Shenzhen, 518083, China
- James D. Watson Institute of Genome Sciences, Hangzhou, 310058, China
| | - Xun Xu
- BGI-Shenzhen, Shenzhen, 518083, China
| | - Xin Jin
- BGI-Shenzhen, Shenzhen, 518083, China
| | | | - Tao Zhang
- BGI-Shenzhen, Shenzhen, 518083, China
- Department of Biology, University of Copenhagen, Universitetsparken 13, 2100, Copenhagen, Denmark
| | - Junxia Min
- School of Medicine, The First Affiliated Hospital, Institute of Translational Medicine, Zhejiang University, Hangzhou, China.
| | - Yi Zeng
- Center for Healthy Aging and Development Studies, National School of Development, Raissun Institute for Advanced Studies, Peking University, Beijing, China.
| | - Huijue Jia
- Greater Bay Area Institute of Precision Medicine (Guangzhou), Fudan University, Shanghai, China.
| | - Yong Hou
- BGI-Shenzhen, Shenzhen, 518083, China.
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14
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Valge M, Meitern R, Hõrak P. Mothers of small-bodied children and fathers of vigorous sons live longer. Front Public Health 2023; 11:1057146. [PMID: 36761140 PMCID: PMC9905732 DOI: 10.3389/fpubh.2023.1057146] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2022] [Accepted: 01/09/2023] [Indexed: 01/27/2023] Open
Abstract
Life-history traits (traits directly related to survival and reproduction) co-evolve and materialize through physiology and behavior. Accordingly, lifespan can be hypothesized as a potentially informative marker of life-history speed that subsumes the impact of diverse morphometric and behavioral traits. We examined associations between parental longevity and various anthropometric traits in a sample of 4,000-11,000 Estonian children in the middle of the 20th century. The offspring phenotype was used as a proxy measure of parental genotype, so that covariation between offspring traits and parental longevity (defined as belonging to the 90th percentile of lifespan) could be used to characterize the aggregation between longevity and anthropometric traits. We predicted that larger linear dimensions of offspring associate with increased parental longevity and that testosterone-dependent traits associate with reduced paternal longevity. Twelve of 16 offspring traits were associated with mothers' longevity, while three traits (rate of sexual maturation of daughters and grip strength and lung capacity of sons) robustly predicted fathers' longevity. Contrary to predictions, mothers of children with small bodily dimensions lived longer, and paternal longevity was not linearly associated with their children's body size (or testosterone-related traits). Our study thus failed to find evidence that high somatic investment into brain and body growth clusters with a long lifespan across generations, and/or that such associations can be detected on the basis of inter-generational phenotypic correlations.
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15
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Familial aggregation of the aging process: biological age measured in young adult offspring as a predictor of parental mortality. GeroScience 2022; 45:901-913. [PMID: 36401109 PMCID: PMC9886744 DOI: 10.1007/s11357-022-00687-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2022] [Accepted: 11/06/2022] [Indexed: 11/20/2022] Open
Abstract
Measures of biological age (BA) integrate information across organ systems to quantify "biological aging," i.e., inter-individual differences in aging-related health decline. While longevity and lifespan aggregate in families, reflecting transmission of genes and environments across generations, little is known about intergenerational continuity of biological aging or the extent to which this continuity may be modified by environmental factors. Using data from the Jerusalem Perinatal Study (JPS), we tested if differences in offspring BA were related to mortality in their parents. We measured BA using biomarker data collected from 1473 offspring during clinical exams in 2007-2009, at age 32 ± 1.1. Parental mortality was obtained from population registry data for the years 2004-2016. We fitted parametric survival models to investigate the associations between offspring BA and parental all-cause and cause-specific mortality. We explored potential differences in these relationships by socioeconomic position (SEP) and offspring sex. Participants' BAs widely varied (SD = 6.95). Among those measured to be biologically older, parents had increased all-cause mortality (HR = 1.10, 95% CI: 1.08, 1.13), diabetes mortality (HR = 1.19, 95% CI: 1.08, 1.30), and cancer mortality (HR = 1.07, 95% CI: 1.02, 1.13). The association with all-cause mortality was stronger for families with low compared with high SEP (Pinteraction = 0.04) and for daughters as compared to sons (Pinteraction < 0.001). Using a clinical-biomarker-based BA estimate, observable by young adulthood prior to the onset of aging-related diseases, we demonstrate intergenerational continuity of the aging process. Furthermore, variation in this familial aggregation according to household socioeconomic position (SEP) at offspring birth and between families of sons and daughters proposes that the environment alters individuals' aging trajectory set by their parents.
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16
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Spano L, Etain B, Laplanche JL, Leboyer M, Gard S, Bellivier F, Marie-Claire C. Telomere length and mitochondrial DNA copy number in bipolar disorder: A sibling study. World J Biol Psychiatry 2022; 24:449-456. [PMID: 36193690 DOI: 10.1080/15622975.2022.2131907] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/24/2022]
Abstract
OBJECTIVES An accelerated cellular ageing has been observed in bipolar disorder (BD) using biomarkers such as telomere length (TL) and mitochondrial DNA copy number (mtDNAcn). Several risk factors might drive premature ageing in individuals with BD, including a familial predisposition. This study compared TL and mtDNAcn between individuals with BD and their (un)-affected siblings, and explored factors that may explain proband-sibling differences. METHODS Sixty individuals with BD and seventy-four siblings (34 affected with BD or mood disorders and 40 unaffected) were included. Quantitative polymerase chain reaction (qPCR) was used to measure TL and mtDNAcn from peripheral blood genomic DNA. RESULTS TL and mtDNAcn did not significantly differ between probands and their siblings, whatever these latter were affected or not with mood disorders. However, the correlation plots of TL or mtDNAcn in proband-sibling pairs suggested that some pairs were discordant. The within proband-sibling pairs differences for TL and mtDNAcn were not explained by differences in all tested factors. CONCLUSIONS This study shows that probands with BD and their siblings are concordant for TL and mtDNAcn suggesting that they may share some environmental or genetic determinants of these two biomarkers of cellular ageing.
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Affiliation(s)
- Luana Spano
- Université Paris Cité, Inserm, Optimisation Thérapeutique en Neuropsychopharmacologie, Paris, France
| | - Bruno Etain
- Université Paris Cité, Inserm, Optimisation Thérapeutique en Neuropsychopharmacologie, Paris, France.,Département de Psychiatrie et de Médecine Addictologique, Hôpitaux Lariboisière-Fernand Widal, GHU APHP.Nord - Université de Paris, Paris, France.,Fondation Fondamental, Créteil, France
| | - Jean-Louis Laplanche
- Université Paris Cité, Inserm, Optimisation Thérapeutique en Neuropsychopharmacologie, Paris, France.,Département de Biochimie et Biologie Moléculaire, DMU BioGeM, Hôpitaux Lariboisière-Fernand Widal, GHU APHP.Nord - Université de Paris, Paris, France
| | - Marion Leboyer
- Fondation Fondamental, Créteil, France.,Université Paris Est Créteil, INSERM U955, IMRB, Translational Neuro-Psychiatry, Créteil, France.,AP-HP, Hôpitaux Universitaires Henri Mondor, Département Médico-Universitaire de Psychiatrie et d'Addictologie (DMU IMPACT), Fédération Hospitalo-Universitaire de Médecine de Précision en Psychiatrie (FHU ADAPT), Créteil, France
| | - Sébastien Gard
- Fondation Fondamental, Créteil, France.,Pôle de Psychiatrie Générale et Universitaire, Centre Hospitalier Charles Perrens, Bordeaux, France
| | - Frank Bellivier
- Université Paris Cité, Inserm, Optimisation Thérapeutique en Neuropsychopharmacologie, Paris, France.,Département de Psychiatrie et de Médecine Addictologique, Hôpitaux Lariboisière-Fernand Widal, GHU APHP.Nord - Université de Paris, Paris, France
| | - Cynthia Marie-Claire
- Université Paris Cité, Inserm, Optimisation Thérapeutique en Neuropsychopharmacologie, Paris, France
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17
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Wise Jr JP. The intersection between toxicology and aging research: A toxic aging coin perspective. FRONTIERS IN AGING 2022; 3:1014675. [PMID: 36213344 PMCID: PMC9532842 DOI: 10.3389/fragi.2022.1014675] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 08/08/2022] [Accepted: 09/06/2022] [Indexed: 01/11/2023]
Abstract
We are imminently faced with the challenges of an increasingly aging population and longer lifespans due to improved health care. Concomitantly, we are faced with ubiquitous environmental pollution linked with various health effects and age-related diseases which contribute to increased morbidity with age. Geriatric populations are rarely considered in the development of environmental regulations or in toxicology research. Today, life expectancy is often into one's 80s or beyond, which means multiple decades living as a geriatric individual. Hence, adverse health effects and late-onset diseases might be due to environmental exposures as a geriatric, and we currently have no way of knowing. Considering aging from a different perspective, the term "gerontogen" was coined in 1987 to describe chemicals that accelerate biological aging but has largely been left out of toxicology research. Thus, we are challenged with a two-faced problem that we can describe as a "toxic aging coin"; on one side we consider how age affects the toxic outcome of chemicals, whereas on the other side we consider how chemicals accelerate aging (i.e. how chemicals act as gerontogens). Conveniently, both sides of this coin can be tackled with a single animal study that considers multiple age groups and assesses basic toxicology of the chemical(s) tested and aging-focused endpoints. Here, I introduce the concept of this toxic aging coin and some key considerations for how it applies to toxicology research. My discussion of this concept will focus on the brain, my area of expertise, but could be translated to any organ system.
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18
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Galvin A, Feitosa M, Arbeev K, Kuipers AL, Wojczynski M, Ukrainsteva S, Christensen K. Physical resilience after a diagnosis of cardiovascular disease among offspring of long-lived siblings. Eur J Ageing 2022; 19:437-445. [PMID: 36052181 PMCID: PMC9424427 DOI: 10.1007/s10433-021-00641-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/12/2021] [Indexed: 11/27/2022] Open
Abstract
Health benefits of longevity-enriched families transmit across generations and a lower incidence of cardiovascular diseases (CVD) have been shown to contribute to this phenomenon. In the current study, we investigated whether the offspring of long-lived siblings also have better survival after a CVD diagnosis compared to matched controls, i.e., are they both robust and resilient? Offspring of long-lived siblings were identified from three nationwide Danish studies and linked to national registers. Offspring with first diagnosis of acute myocardial infarction, chronic ischemic heart disease, heart failure or cerebrovascular disease between 1996 and 2011 were included and matched with two controls from the Danish population on sex, year of birth and diagnosis, and type of CVD. Stratified Cox proportional-hazards models on the matching data were performed to study 10-year overall survival. A total of 402 offspring and 804 controls were included: 64.2% male with a median age at diagnosis of 63.0. For offspring and controls, overall survival was 73% and 65% at 10 years from diagnosis, respectively. Offspring of long-lived siblings had a significantly better survival than controls, and this association was slightly attenuated after controlling for marital status, medication and Charlson Comorbidity Index score simultaneously. This study suggested that offspring of long-lived siblings not only show lower CVD incidence but also a better survival following CVD diagnosis compared to matched population controls. The higher biological resilience appears to be a universal hallmark of longevity-enriched families, which makes them uniquely positioned for studying healthy aging and longevity mechanisms. Supplementary Information The online version contains supplementary material available at 10.1007/s10433-021-00641-7.
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Affiliation(s)
- Angéline Galvin
- Epidemiology, Biostatistics, and Biodemography, Department of Public Health, University of Southern Denmark, J.B. Winsløws Vej 9, 5 000 Odense C, Denmark
| | - Mary Feitosa
- Division of Statistical Genomics, Department of Genetics, Washington University School of Medicine, St. Louis, MO USA
| | - Konstantin Arbeev
- Biodemography of Aging Research Unit, Social Science Research Institute, Duke University, Durham, NC USA
| | - Allison L. Kuipers
- Department of Epidemiology, University of Pittsburgh, Pittsburgh, PA USA
| | - Mary Wojczynski
- Division of Statistical Genomics, Department of Genetics, Washington University School of Medicine, St. Louis, MO USA
| | - Svetlana Ukrainsteva
- Biodemography of Aging Research Unit, Social Science Research Institute, Duke University, Durham, NC USA
| | - Kaare Christensen
- Epidemiology, Biostatistics, and Biodemography, Department of Public Health, University of Southern Denmark, J.B. Winsløws Vej 9, 5 000 Odense C, Denmark
- Department of Public Health, The Danish Aging Research Center, University of Southern Denmark, Odense, Denmark
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19
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Co-Inheritance of Variation in All-Cause Mortality and Biochemical Risk Factors. Twin Res Hum Genet 2022; 25:107-114. [PMID: 35818962 DOI: 10.1017/thg.2022.25] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
Biomarkers may be useful endophenotypes for genetic studies if they share genetic sources of variation with the outcome, for example, with all-cause mortality. Australian adult study participants who had reported their parental survival information were included in the study: 14,169 participants had polygenic risk scores (PRS) from genotyping and up to 13,365 had biomarker results. We assessed associations between participants' biomarker results and parental survival, and between biomarker results and eight parental survival PRS at varying p-value cut-offs. Survival in parents was associated with participants' serum bilirubin, C-reactive protein, HDL cholesterol, triglycerides and uric acid, and with LDL cholesterol for participants' fathers but not for their mothers. PRS for all-cause mortality were associated with liver function tests (alkaline phosphatase, butyrylcholinesterase, gamma-glutamyl transferase), metabolic tests (LDL and HDL cholesterol, triglycerides, uric acid), and acute-phase reactants (C-reactive protein, globulins). Association between offspring biomarker results and parental survival demonstrates the existence of familial effects common to both, while associations between biomarker results and PRS for mortality favor at least a partial genetic cause of this covariation. Identification of genetic loci affecting mortality-associated biomarkers offers a route to the identification of additional loci affecting mortality.
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20
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How Important Are Genes to Achieve Longevity? Int J Mol Sci 2022; 23:ijms23105635. [PMID: 35628444 PMCID: PMC9145989 DOI: 10.3390/ijms23105635] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2022] [Revised: 05/13/2022] [Accepted: 05/16/2022] [Indexed: 01/25/2023] Open
Abstract
Several studies on the genetics of longevity have been reviewed in this paper. The results show that, despite efforts and new technologies, only two genes, APOE and FOXO3A, involved in the protection of cardiovascular diseases, have been shown to be associated with longevity in nearly all studies. This happens because the genetic determinants of longevity are dynamic and depend on the environmental history of a given population. In fact, population-specific genes are thought to play a greater role in the attainment of longevity than those shared between different populations. Hence, it is not surprising that GWAS replicated associations of common variants with longevity have been few, if any, as these studies pool together different populations. An alternative way might be the study of long-life families. This type of approach is proving to be an ideal resource for uncovering protective alleles and associated biological signatures for healthy aging phenotypes and exceptional longevity.
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21
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Xu Q, Wu C, Zhu Q, Gao R, Lu J, Valles-Colomer M, Zhu J, Yin F, Huang L, Ding L, Zhang X, Zhang Y, Xiong X, Bi M, Chen X, Zhu Y, Liu L, Liu Y, Chen Y, Fan J, Sun Y, Wang J, Cao Z, Fan C, Ehrlich SD, Segata N, Qin N, Qin H. Metagenomic and metabolomic remodeling in nonagenarians and centenarians and its association with genetic and socioeconomic factors. NATURE AGING 2022; 2:438-452. [PMID: 37118062 DOI: 10.1038/s43587-022-00193-0] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/07/2021] [Accepted: 02/16/2022] [Indexed: 04/30/2023]
Abstract
A better understanding of the biological and environmental variables that contribute to exceptional longevity has the potential to inform the treatment of geriatric diseases and help achieve healthy aging. Here, we compared the gut microbiome and blood metabolome of extremely long-lived individuals (94-105 years old) to that of their children (50-79 years old) in 116 Han Chinese families. We found extensive metagenomic and metabolomic remodeling in advanced age and observed a generational divergence in the correlations with socioeconomic factors. An analysis of quantitative trait loci revealed that genetic associations with metagenomic and metabolomic features were largely generation-specific, but we also found 131 plasma metabolic quantitative trait loci associations that were cross-generational with the genetic variants concentrated in six loci. These included associations between FADS1/2 and arachidonate, PTPA and succinylcarnitine and FLVCR1 and choline. Our characterization of the extensive metagenomic and metabolomic remodeling that occurs in people reaching extreme ages may offer new targets for aging-related interventions.
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Affiliation(s)
- Qian Xu
- Institute of Intestinal Diseases, Department of General Surgery, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, China
| | - Chunyan Wu
- Institute of Intestinal Diseases, Department of General Surgery, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, China
| | - Qi Zhu
- Institute of Intestinal Diseases, Department of General Surgery, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, China
| | - Renyuan Gao
- Institute of Intestinal Diseases, Department of General Surgery, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, China
| | - Jianquan Lu
- Qidong People's Hospital/Qidong Liver Cancer Institute, Qidong, China
| | | | - Jian Zhu
- Qidong People's Hospital/Qidong Liver Cancer Institute, Qidong, China
| | - Fang Yin
- Institute of Intestinal Diseases, Department of General Surgery, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, China
| | - Linsheng Huang
- Institute of Intestinal Diseases, Department of General Surgery, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, China
| | - Lulu Ding
- Qidong People's Hospital/Qidong Liver Cancer Institute, Qidong, China
| | - Xiaohui Zhang
- Institute of Intestinal Diseases, Department of General Surgery, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, China
| | - Yonghui Zhang
- Qidong People's Hospital/Qidong Liver Cancer Institute, Qidong, China
| | - Xiao Xiong
- Realbio Genomics Institute, Shanghai, China
| | | | - Xiang Chen
- Realbio Genomics Institute, Shanghai, China
| | - Yefei Zhu
- Institute of Intestinal Diseases, Department of General Surgery, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, China
| | - Lin Liu
- Institute of Intestinal Diseases, Department of General Surgery, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, China
| | - Yongqiang Liu
- Institute of Intestinal Diseases, Department of General Surgery, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, China
| | - Yongshen Chen
- Qidong People's Hospital/Qidong Liver Cancer Institute, Qidong, China
| | - Jian Fan
- Qidong People's Hospital/Qidong Liver Cancer Institute, Qidong, China
| | - Yan Sun
- Qidong People's Hospital/Qidong Liver Cancer Institute, Qidong, China
| | - Jun Wang
- Qidong People's Hospital/Qidong Liver Cancer Institute, Qidong, China
| | - Zhan Cao
- Institute of Intestinal Diseases, Department of General Surgery, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, China
| | - Chunsun Fan
- Qidong People's Hospital/Qidong Liver Cancer Institute, Qidong, China
| | - S Dusko Ehrlich
- MGP MetaGenoPolis, INRAE, Université Paris-Saclay, Jouy en Josas, France
| | - Nicola Segata
- Department CIBIO, University of Trento, Trento, Italy
| | - Nan Qin
- Institute of Intestinal Diseases, Department of General Surgery, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, China.
- Realbio Genomics Institute, Shanghai, China.
| | - Huanlong Qin
- Institute of Intestinal Diseases, Department of General Surgery, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, China.
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22
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Gavrilova NS, Gavrilov LA. Protective Effects of Familial Longevity Decrease With Age and Become Negligible for Centenarians. J Gerontol A Biol Sci Med Sci 2022; 77:736-743. [PMID: 34929024 PMCID: PMC8974328 DOI: 10.1093/gerona/glab380] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2021] [Indexed: 11/12/2022] Open
Abstract
It is known that biological relatives of long-lived individuals demonstrate lower mortality and longer life span compared to relatives of shorter-lived individuals, and at least part of this advantage is likely to be genetic. Less information, however, is available about effects of familial longevity on age-specific mortality trajectories. We compared mortality patterns after age 50 years for 10 045 siblings of US centenarians and 12 308 siblings of shorter-lived individuals (died at age 65 years). Similar comparisons were made for sons and daughters of longer-lived parents (both parents lived 80 years and more) and shorter-lived parents (both parents lived less than 80 years) within each group of siblings. Although relatives of longer-lived individuals have lower mortality at younger ages compared to relatives of shorter-lived individuals, this mortality advantage practically disappears by age 100 years. To validate this observation further, we analyzed the survival of 3 408 US centenarians born in 1890-1897 with known information on maternal and paternal life span. We found using the Cox proportional hazards model that both maternal and paternal longevity (life span 80+ years) is not significantly associated with survival after age 100 years. The results are compatible with the predictions of reliability theory of aging suggesting higher initial levels of system redundancy (reserves) in individuals with protective familial/genetic background and hence lower initial mortality. Heterogeneity hypothesis is another possible explanation for the observed phenomena.
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Affiliation(s)
- Natalia S Gavrilova
- Academic Research Centers, NORC at the University of Chicago, Chicago, Illinois, USA
- Institute for Demographic Research, Federal Center of Theoretical and Applied Sociology, Russian Academy of Sciences, Moscow, Russia
| | - Leonid A Gavrilov
- Academic Research Centers, NORC at the University of Chicago, Chicago, Illinois, USA
- Institute for Demographic Research, Federal Center of Theoretical and Applied Sociology, Russian Academy of Sciences, Moscow, Russia
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23
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The 90 plus: longevity and COVID-19 survival. Mol Psychiatry 2022; 27:1936-1944. [PMID: 35136227 DOI: 10.1038/s41380-022-01461-6] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/29/2021] [Revised: 01/11/2022] [Accepted: 01/20/2022] [Indexed: 11/08/2022]
Abstract
The world population is getting older and studies aiming to enhance our comprehension of the underlying mechanisms responsible for health span are of utmost interest for longevity and as a measure for health care. In this review, we summarized previous genetic association studies (GWAS) and next-generation sequencing (NGS) of elderly cohorts. We also present the updated hypothesis for the aging process, together with the factors associated with healthy aging. We discuss the relevance of studying older individuals and build databanks to characterize the presence and resistance against late-onset disorders. The identification of about 2 million novel variants in our cohort of more than 1000 elderly Brazilians illustrates the importance of studying highly admixed populations of non-European ancestry. Finally, the ascertainment of nonagenarians and particularly of centenarians who were recovered from COVID-19 or remained asymptomatic opens new avenues of research aiming to enhance our comprehension of biological mechanisms associated with resistance against pathogens.
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Tay DL, Ornstein KA, Meeks H, Utz RL, Smith KR, Stephens C, Hashibe M, Ellington L. Evaluation of Family Characteristics and Multiple Hospitalizations at the End of Life: Evidence from the Utah Population Database. J Palliat Med 2022; 25:376-387. [PMID: 34448596 PMCID: PMC8968848 DOI: 10.1089/jpm.2021.0071] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/28/2021] [Indexed: 11/13/2022] Open
Abstract
Background: Scant research has examined the relationship between family characteristics and end-of-life (EOL) outcomes despite the importance of family at the EOL. Objectives: This study examined factors associated with the size and composition of family relationships on multiple EOL hospitalizations. Design: Retrospective analysis of the Utah Population Database, a statewide population database using linked administrative records. Setting/subjects: We identified adults who died of natural causes in Utah, United States (n = 216,913) between 1998 and 2016 and identified adult first-degree family members (n = 743,874; spouses = 13.2%; parents = 3.6%; children = 51.7%; siblings = 31.5%). Measurements: We compared demographic, socioeconomic, and death characteristics of decedents with and without first-degree family. Using logistic regression models adjusting for sex, age, race/ethnicity, marital status, comorbidity, and causes of death, we examined the association of first-degree family size and composition, on multiple hospitalizations in the last six months of life. Results: Among decedents without documented first-degree family members in Utah (16.0%), 57.7% were female and 7 in 10 were older than 70 years. Nonmarried (aOR = 0.90, 95% CI = 0.88-0.92) decedents and decedents with children (aOR = 0.97, 95% CI = 0.94-0.99) were less likely to have multiple EOL hospitalizations. Family size was not associated with multiple EOL hospitalizations. Conclusions: First-degree family characteristics vary at the EOL. EOL care utilization may be influenced by family characteristics-in particular, presence of a spouse. Future studies should explore how the quality of family networks, as well as extended family, impacts other EOL characteristics such as hospice and palliative care use to better understand the EOL care experience.
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Affiliation(s)
- Djin L. Tay
- College of Nursing, University of Utah, Salt Lake City, Utah, USA
| | - Katherine A. Ornstein
- Department of Geriatrics and Palliative Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Huong Meeks
- Utah Population Database, Huntsman Cancer Institute, Salt Lake City, Utah, USA
| | - Rebecca L. Utz
- Department of Sociology, University of Utah, Salt Lake City, Utah, USA
| | - Ken R. Smith
- Department of Department of Family and Consumer Studies, University of Utah, Salt Lake City, Utah, USA
- Population Science, Huntsman Cancer Institute, University of Utah, Utah, USA
| | | | - Mia Hashibe
- Department of Department of Family and Preventive Medicine, University of Utah, Salt Lake City, Utah, USA
| | - Lee Ellington
- College of Nursing, University of Utah, Salt Lake City, Utah, USA
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25
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Association between Circulating Antioxidants and Longevity: Insight from Mendelian Randomization Study. BIOMED RESEARCH INTERNATIONAL 2022; 2022:4012603. [PMID: 35132376 PMCID: PMC8817834 DOI: 10.1155/2022/4012603] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/18/2021] [Accepted: 01/05/2022] [Indexed: 11/18/2022]
Abstract
Background. Antioxidants attracted long-standing attention as promising preventive agents worldwide. Previous observational studies have reported that circulating antioxidants are associated with reduced mortality; however, randomized clinical trials indicate neutral or harmful impacts. The association of long-term circulating antioxidant exposure with longevity is still unclear. Objectives. We aim to determine whether long-term circulating antioxidant exposure is causally associated with longevity in the general population using the two-sample Mendelian randomization (MR) design. Methods. Genetic instruments for circulating antioxidants (ascorbate, lycopene, selenium, beta-carotene, and retinol) and antioxidant metabolites (ascorbate, alpha-tocopherol, gamma-tocopherol, and retinol) were identified from the largest up-to-date genome-wide association studies (GWASs). Summary statistics of these instruments with individual survival to the 90th vs. 60th percentile age (11,262 cases and 25,483 controls) and parental lifespan (
individuals) were extracted. The causal effect was estimated using the inverse-variance weighted method in the main analysis and complemented by multiple sensitivity analyses to test the robustness of results. Results. We found that genetically determined higher concentration of circulating retinol (vitamin A) metabolite was casually associated with a higher odds of longevity (OR, 1.07; 95% CI, 1.02–1.13;
) and increased parental lifespan (lifespan years per 10-fold increase: 0.17; 95% CI, 0.07–0.27;
). Present evidence did not support a causal impact of circulating ascorbate (vitamin C), tocopherol (vitamin E), lycopene, selenium or beta-carotene on life expectancy. No evidence was identified to show the pleiotropic effects had biased the results. Conclusions. Long-term higher exposure to retinol metabolite is causally associated with longevity in the general population. Future MR analyses could assess the current findings further by utilizing additional genetic variants and greater samples from large-scale GWASs.
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26
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Bin-Jumah MN, Nadeem MS, Gilani SJ, Al-Abbasi FA, Ullah I, Alzarea SI, Ghoneim MM, Alshehri S, Uddin A, Murtaza BN, Kazmi I. Genes and Longevity of Lifespan. Int J Mol Sci 2022; 23:ijms23031499. [PMID: 35163422 PMCID: PMC8836117 DOI: 10.3390/ijms23031499] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2021] [Revised: 01/04/2022] [Accepted: 01/26/2022] [Indexed: 12/12/2022] Open
Abstract
Aging is a complex process indicated by low energy levels, declined physiological activity, stress induced loss of homeostasis leading to the risk of diseases and mortality. Recent developments in medical sciences and an increased availability of nutritional requirements has significantly increased the average human lifespan worldwide. Several environmental and physiological factors contribute to the aging process. However, about 40% human life expectancy is inherited among generations, many lifespan associated genes, genetic mechanisms and pathways have been demonstrated during last decades. In the present review, we have evaluated many human genes and their non-human orthologs established for their role in the regulation of lifespan. The study has included more than fifty genes reported in the literature for their contributions to the longevity of life. Intact genomic DNA is essential for the life activities at the level of cell, tissue, and organ. Nucleic acids are vulnerable to oxidative stress, chemotherapies, and exposure to radiations. Efficient DNA repair mechanisms are essential for the maintenance of genomic integrity, damaged DNA is not replicated and transferred to next generations rather the presence of deleterious DNA initiates signaling cascades leading to the cell cycle arrest or apoptosis. DNA modifications, DNA methylation, histone methylation, histone acetylation and DNA damage can eventually lead towards apoptosis. The importance of calorie restriction therapy in the extension of lifespan has also been discussed. The role of pathways involved in the regulation of lifespan such as DAF-16/FOXO (forkhead box protein O1), TOR and JNK pathways has also been particularized. The study provides an updated account of genetic factors associated with the extended lifespan and their interactive contributory role with cellular pathways.
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Affiliation(s)
- May Nasser Bin-Jumah
- Biology Department, College of Science, Princess Nourah Bint Abdulrahman University, Riyadh 11671, Saudi Arabia;
- Environment and Biomaterial Unit, Health Sciences Research Center, Princess Nourah Bint Abdulrahman University, Riyadh 11671, Saudi Arabia
| | - Muhammad Shahid Nadeem
- Department of Biochemistry, Faculty of Science, King Abdulaziz University, Jeddah 21589, Saudi Arabia;
- Correspondence: (M.S.N.); (I.K.)
| | - Sadaf Jamal Gilani
- Department of Basic Health Sciences, Princess Nourah Bint Abdulrahman University, Riyadh 11671, Saudi Arabia;
| | - Fahad A. Al-Abbasi
- Department of Biochemistry, Faculty of Science, King Abdulaziz University, Jeddah 21589, Saudi Arabia;
| | - Inam Ullah
- Institute of Molecular Biology and Biotechnology, The University of Lahore, Lahore 54000, Pakistan;
| | - Sami I. Alzarea
- Department of Pharmacology, College of Pharmacy, Jouf University, Sakaka 72341, Saudi Arabia;
| | - Mohammed M. Ghoneim
- Department of Pharmacy Practice, College of Pharmacy, AlMaarefa University, Ad Diriyah 13713, Saudi Arabia;
| | - Sultan Alshehri
- Department of Pharmaceutics, College of Pharmacy, King Saud University, Riyadh 11451, Saudi Arabia;
| | - Aziz Uddin
- Department of Biotechnology and Genetic Engineering, Hazara University, Mansehra 21300, Pakistan;
| | - Bibi Nazia Murtaza
- Department of Zoology, Abbottabad University of Science and Technology (AUST), Abbottabad 22310, Pakistan;
| | - Imran Kazmi
- Department of Biochemistry, Faculty of Science, King Abdulaziz University, Jeddah 21589, Saudi Arabia;
- Correspondence: (M.S.N.); (I.K.)
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27
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Secci R, Hartmann A, Walter M, Grabe HJ, Van der Auwera-Palitschka S, Kowald A, Palmer D, Rimbach G, Fuellen G, Barrantes I. Biomarkers of geroprotection and cardiovascular health: An overview of omics studies and established clinical biomarkers in the context of diet. Crit Rev Food Sci Nutr 2021; 63:2426-2446. [PMID: 34648415 DOI: 10.1080/10408398.2021.1975638] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
The slowdown, inhibition, or reversal of age-related decline (as a composite of disease, dysfunction, and, ultimately, death) by diet or natural compounds can be defined as dietary geroprotection. While there is no single reliable biomarker to judge the effects of dietary geroprotection, biomarker signatures based on omics (epigenetics, gene expression, microbiome composition) are promising candidates. Recently, omic biomarkers started to supplement established clinical ones such as lipid profiles and inflammatory cytokines. In this review, we focus on human data. We first summarize the current take on genetic biomarkers based on epidemiological studies. However, most of the remaining biomarkers that we describe, whether omics-based or clinical, are related to intervention studies. Then, because of their promising potential in the context of dietary geroprotection, we focus on the effects of berry-based interventions, which up to now have been mostly described employing clinical markers. We provide an aggregation and tabulation of all the recent systematic reviews and meta-analyses that we could find related to this topic. Finally, we present evidence for the importance of the "nutribiography," that is, the influence that an individual's history of diet and natural compound consumption can have on the effects of dietary geroprotection.
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Affiliation(s)
- Riccardo Secci
- Junior Research Group Translational Bioinformatics, Institute for Biostatistics and Informatics in Medicine and Ageing Research, Rostock University Medical Center, Rostock, Germany
| | - Alexander Hartmann
- Institute for Clinical Chemistry and Laboratory Medicine, University Medical Center Rostock, University of Rostock, Rostock, Germany
| | - Michael Walter
- Institute for Clinical Chemistry and Laboratory Medicine, University Medical Center Rostock, University of Rostock, Rostock, Germany.,Institute of Laboratory Medicine, Clinical Chemistry, and Pathobiochemistry, Charite University Medical Center, Berlin, Germany
| | - Hans Jörgen Grabe
- Department of Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald, Germany.,German Centre for Neurodegenerative Diseases (DZNE), Site Rostock/Greifswald, Greifswald, Germany
| | - Sandra Van der Auwera-Palitschka
- Department of Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald, Germany.,German Centre for Neurodegenerative Diseases (DZNE), Site Rostock/Greifswald, Greifswald, Germany
| | - Axel Kowald
- Institute for Biostatistics and Informatics in Medicine and Aging Research, Rostock University Medical Center, Rostock, Germany
| | - Daniel Palmer
- Institute for Biostatistics and Informatics in Medicine and Aging Research, Rostock University Medical Center, Rostock, Germany
| | - Gerald Rimbach
- Institute of Human Nutrition and Food Science, University of Kiel, Kiel, Germany
| | - Georg Fuellen
- Institute for Biostatistics and Informatics in Medicine and Aging Research, Rostock University Medical Center, Rostock, Germany
| | - Israel Barrantes
- Junior Research Group Translational Bioinformatics, Institute for Biostatistics and Informatics in Medicine and Ageing Research, Rostock University Medical Center, Rostock, Germany
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28
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Föhr T, Waller K, Viljanen A, Sanchez R, Ollikainen M, Rantanen T, Kaprio J, Sillanpää E. Does the epigenetic clock GrimAge predict mortality independent of genetic influences: an 18 year follow-up study in older female twin pairs. Clin Epigenetics 2021; 13:128. [PMID: 34120642 PMCID: PMC8201844 DOI: 10.1186/s13148-021-01112-7] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2021] [Accepted: 06/06/2021] [Indexed: 11/22/2022] Open
Abstract
Background Epigenetic clocks are based on DNA methylation (DNAm). It has been suggested that these clocks are useable markers of biological aging and premature mortality. Because genetic factors explain variations in both epigenetic aging and mortality, this association could also be explained by shared genetic factors. We investigated the influence of genetic and lifestyle factors (smoking, alcohol consumption, physical activity, chronic diseases, body mass index) and education on the association of accelerated epigenetic aging with mortality using a longitudinal twin design. Utilizing a publicly available online tool, we calculated the epigenetic age using two epigenetic clocks, Horvath DNAmAge and DNAm GrimAge, in 413 Finnish twin sisters, aged 63–76 years, at the beginning of the 18-year mortality follow-up. Epigenetic age acceleration was calculated as the residuals from a linear regression model of epigenetic age estimated on chronological age (AAHorvath, AAGrimAge, respectively). Cox proportional hazard models were conducted for individuals and twin pairs. Results The results of the individual-based analyses showed an increased mortality hazard ratio (HR) of 1.31 (CI95: 1.13–1.53) per one standard deviation (SD) increase in AAGrimAge. The results indicated no significant associations of AAHorvath with mortality. Pairwise mortality analyses showed an HR of 1.50 (CI95: 1.02–2.20) per 1 SD increase in AAGrimAge. However, after adjusting for smoking, the HR attenuated substantially and was statistically non-significant (1.29; CI95: 0.84–1.99). Similarly, in multivariable adjusted models the HR (1.42–1.49) was non-significant. In AAHorvath, the non-significant HRs were lower among monozygotic pairs in comparison to dizygotic pairs, while in AAGrimAge there were no systematic differences by zygosity. Further, the pairwise analysis in quartiles showed that the increased within pair difference in AAGrimAge was associated with a higher all-cause mortality risk. Conclusions In conclusion, the findings suggest that DNAm GrimAge is a strong predictor of mortality independent of genetic influences. Smoking, which is known to alter DNAm levels and is built into the DNAm GrimAge algorithm, attenuated the association between epigenetic aging and mortality risk. Supplementary Information The online version contains supplementary material available at 10.1186/s13148-021-01112-7.
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Affiliation(s)
- Tiina Föhr
- Faculty of Sport and Health Sciences, Gerontology Research Center (GEREC), University of Jyväskylä, P.O. Box 35 (VIV), 40014, Jyväskylä, Finland
| | - Katja Waller
- Faculty of Sport and Health Sciences, University of Jyväskylä, Jyväskylä, Finland
| | - Anne Viljanen
- Faculty of Sport and Health Sciences, Gerontology Research Center (GEREC), University of Jyväskylä, P.O. Box 35 (VIV), 40014, Jyväskylä, Finland
| | - Riikka Sanchez
- Faculty of Sport and Health Sciences, Gerontology Research Center (GEREC), University of Jyväskylä, P.O. Box 35 (VIV), 40014, Jyväskylä, Finland
| | - Miina Ollikainen
- Department of Public Health, University of Helsinki, Helsinki, Finland.,Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland
| | - Taina Rantanen
- Faculty of Sport and Health Sciences, Gerontology Research Center (GEREC), University of Jyväskylä, P.O. Box 35 (VIV), 40014, Jyväskylä, Finland
| | - Jaakko Kaprio
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland
| | - Elina Sillanpää
- Faculty of Sport and Health Sciences, Gerontology Research Center (GEREC), University of Jyväskylä, P.O. Box 35 (VIV), 40014, Jyväskylä, Finland. .,Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland.
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29
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Treaster S, Karasik D, Harris MP. Footprints in the Sand: Deep Taxonomic Comparisons in Vertebrate Genomics to Unveil the Genetic Programs of Human Longevity. Front Genet 2021; 12:678073. [PMID: 34163529 PMCID: PMC8215702 DOI: 10.3389/fgene.2021.678073] [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: 03/08/2021] [Accepted: 05/12/2021] [Indexed: 01/09/2023] Open
Abstract
With the modern quality, quantity, and availability of genomic sequencing across species, as well as across the expanse of human populations, we can screen for shared signatures underlying longevity and lifespan. Knowledge of these mechanisms would be medically invaluable in combating aging and age-related diseases. The diversity of longevities across vertebrates is an opportunity to look for patterns of genetic variation that may signal how this life history property is regulated, and ultimately how it can be modulated. Variation in human longevity provides a unique window to look for cases of extreme lifespan within a population, as well as associations across populations for factors that influence capacity to live longer. Current large cohort studies support the use of population level analyses to identify key factors associating with human lifespan. These studies are powerful in concept, but have demonstrated limited ability to resolve signals from background variation. In parallel, the expanding catalog of sequencing and annotation from diverse species, some of which have evolved longevities well past a human lifespan, provides independent cases to look at the genomic signatures of longevity. Recent comparative genomic work has shown promise in finding shared mechanisms associating with longevity among distantly related vertebrate groups. Given the genetic constraints between vertebrates, we posit that a combination of approaches, of parallel meta-analysis of human longevity along with refined analysis of other vertebrate clades having exceptional longevity, will aid in resolving key regulators of enhanced lifespan that have proven to be elusive when analyzed in isolation.
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Affiliation(s)
- Stephen Treaster
- Department of Orthopaedics, Boston Children's Hospital, Boston, MA, United States.,Department of Genetics, Harvard Medical School, Boston, MA, United States
| | - David Karasik
- Azrieli Faculty of Medicine, Bar-Ilan University, Ramat Gan, Israel.,Marcus Institute for Aging Research, Hebrew SeniorLife, Boston, MA, United States
| | - Matthew P Harris
- Department of Orthopaedics, Boston Children's Hospital, Boston, MA, United States.,Department of Genetics, Harvard Medical School, Boston, MA, United States
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30
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Lio D, Scola L, Giarratana RM, Candore G, Colonna-Romano G, Caruso C, Balistreri CR. SARS CoV2 infection _The longevity study perspectives. Ageing Res Rev 2021; 67:101299. [PMID: 33607290 PMCID: PMC7885677 DOI: 10.1016/j.arr.2021.101299] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2020] [Revised: 02/11/2021] [Accepted: 02/12/2021] [Indexed: 01/08/2023]
Abstract
Like other infectious diseases, COVID-19 shows a clinical outcome enormously variable, ranging from asymptomatic to lethal. In Italy, like in other countries, old male individuals, with one or more comorbidity, are the most susceptible group, and show, consequently, the highest mortality, and morbidity, including lethal respiratory distress syndrome, as the most common complication. In addition, another extraordinary peculiarity, that is a surprising resistance to COVID-19, characterizes some Italian nonagenarians/centenarians. Despite having the typical COVID-19 signs and/or symptoms, such exceptional individuals show a surprising tendency to recover from illness and complications. On the other hand, long-lived people have an optimal performance of immune system related to an overexpression of anti-inflammatory variants in immune/inflammatory genes, as demonstrated by our and other groups. Consequently, we suggest long-lived people as an optimal model for detecting genetic profiles associated with the susceptibility and/or protection to COVID-19, to utilize as potential pharmacological targets for preventing or reducing viral infection in more vulnerable individuals.
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Affiliation(s)
- Domenico Lio
- Immunosenescence Study Group, Department of Biomedicine, Neuroscience and Advanced, Diagnostics (Bi.N.D.), University of Palermo, Palermo, Italy
| | - Letizia Scola
- Immunosenescence Study Group, Department of Biomedicine, Neuroscience and Advanced, Diagnostics (Bi.N.D.), University of Palermo, Palermo, Italy; Cellular/Molecular Biology and Clinical Pathology Laboratory, Department of Biomedicine, Neuroscience and Advanced Diagnostics (Bi.N.D.), University of Palermo, Palermo, Italy
| | - Rosa Maria Giarratana
- Cellular/Molecular Biology and Clinical Pathology Laboratory, Department of Biomedicine, Neuroscience and Advanced Diagnostics (Bi.N.D.), University of Palermo, Palermo, Italy
| | - Giuseppina Candore
- Immunosenescence Study Group, Department of Biomedicine, Neuroscience and Advanced, Diagnostics (Bi.N.D.), University of Palermo, Palermo, Italy
| | - Giuseppina Colonna-Romano
- Immunosenescence Study Group, Department of Biomedicine, Neuroscience and Advanced, Diagnostics (Bi.N.D.), University of Palermo, Palermo, Italy
| | - Calogero Caruso
- Immunosenescence Study Group, Department of Biomedicine, Neuroscience and Advanced, Diagnostics (Bi.N.D.), University of Palermo, Palermo, Italy
| | - Carmela Rita Balistreri
- Immunosenescence Study Group, Department of Biomedicine, Neuroscience and Advanced, Diagnostics (Bi.N.D.), University of Palermo, Palermo, Italy; Cellular/Molecular Biology and Clinical Pathology Laboratory, Department of Biomedicine, Neuroscience and Advanced Diagnostics (Bi.N.D.), University of Palermo, Palermo, Italy.
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31
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Torres GG, Nygaard M, Caliebe A, Blanché H, Chantalat S, Galan P, Lieb W, Christiansen L, Deleuze JF, Christensen K, Strauch K, Müller-Nurasyid M, Peters A, Nöthen MM, Hoffmann P, Flachsbart F, Schreiber S, Ellinghaus D, Franke A, Dose J, Nebel A. Exome-Wide Association Study Identifies FN3KRP and PGP as New Candidate Longevity Genes. J Gerontol A Biol Sci Med Sci 2021; 76:786-795. [PMID: 33491046 PMCID: PMC8087267 DOI: 10.1093/gerona/glab023] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2020] [Indexed: 12/19/2022] Open
Abstract
Despite enormous research efforts, the genetic component of longevity has remained largely elusive. The investigation of common variants, mainly located in intronic or regulatory regions, has yielded only little new information on the heritability of the phenotype. Here, we performed a chip-based exome-wide association study investigating 62 488 common and rare coding variants in 1248 German long-lived individuals, including 599 centenarians and 6941 younger controls (age < 60 years). In a single-variant analysis, we observed an exome-wide significant association between rs1046896 in the gene fructosamine-3-kinase-related-protein (FN3KRP) and longevity. Noteworthy, we found the longevity allele C of rs1046896 to be associated with an increased FN3KRP expression in whole blood; a database look-up confirmed this effect for various other human tissues. A gene-based analysis, in which potential cumulative effects of common and rare variants were considered, yielded the gene phosphoglycolate phosphatase (PGP) as another potential longevity gene, though no single variant in PGP reached the discovery p-value (1 × 10E−04). Furthermore, we validated the previously reported longevity locus cyclin-dependent kinase inhibitor 2B antisense RNA 1 (CDKN2B-AS1). Replication of our results in a French longevity cohort was only successful for rs1063192 in CDKN2B-AS1. In conclusion, we identified 2 new potential candidate longevity genes, FN3KRP and PGP which may influence the phenotype through their role in metabolic processes, that is, the reverse glycation of proteins (FN3KRP) and the control of glycerol-3-phosphate levels (PGP).
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Affiliation(s)
- Guillermo G Torres
- Institute of Clinical Molecular Biology, Kiel University, University Hospital Schleswig-Holstein, Germany
| | - Marianne Nygaard
- The Danish Twin Registry and The Danish Aging Research Center, Department of Public Health, University of Southern Denmark, Odense C.,Department of Clinical Genetics, Odense University Hospital, Denmark
| | - Amke Caliebe
- Institute of Medical Informatics and Statistics, Kiel University, University Hospital Schleswig-Holstein, Germany
| | - Hélène Blanché
- Fondation Jean Dausset-Centre d'Etude du Polymorphisme Humain (CEPH), Paris, France
| | - Sophie Chantalat
- Centre National de Recherche en Génomique Humaine CNRGH-CEA, Evry, France
| | - Pilar Galan
- Université Sorbonne Paris Cité-UREN, Unité de Recherche en Epidémiologie Nutritionelle, U557 Inserm, U1125 Inra, Bobigny, France
| | - Wolfgang Lieb
- Institute of Epidemiology and Biobank Popgen, Kiel University, University Hospital Schleswig-Holstein, Germany
| | - Lene Christiansen
- The Danish Twin Registry and The Danish Aging Research Center, Department of Public Health, University of Southern Denmark, Odense C.,Department of Clinical Immunology, Copenhagen University Hospital, Rigshospitalet, Denmark
| | - Jean-François Deleuze
- Fondation Jean Dausset-Centre d'Etude du Polymorphisme Humain (CEPH), Paris, France.,Centre National de Recherche en Génomique Humaine CNRGH-CEA, Evry, France
| | - Kaare Christensen
- The Danish Twin Registry and The Danish Aging Research Center, Department of Public Health, University of Southern Denmark, Odense C.,Department of Clinical Genetics, Odense University Hospital, Denmark.,Department of Clinical Biochemistry and Pharmacology, Odense University Hospital, Denmark
| | - Konstantin Strauch
- Institute of Genetic Epidemiology, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany.,Chair of Genetic Epidemiology, IBE, Faculty of Medicine, Ludwig-Maximilians-University (LMU) Munich, Germany
| | - Martina Müller-Nurasyid
- Institute of Genetic Epidemiology, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany.,Chair of Genetic Epidemiology, IBE, Faculty of Medicine, Ludwig-Maximilians-University (LMU) Munich, Germany.,Department of Internal Medicine I (Cardiology), Hospital of the LMU Munich, Germany
| | - Annette Peters
- Institute of Genetic Epidemiology, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany.,German Center for Diabetes Research (DZD), Neuherberg, Germany
| | | | - Per Hoffmann
- Institute of Human Genetics, University of Bonn, Germany
| | - Friederike Flachsbart
- Institute of Clinical Molecular Biology, Kiel University, University Hospital Schleswig-Holstein, Germany
| | - Stefan Schreiber
- Institute of Clinical Molecular Biology, Kiel University, University Hospital Schleswig-Holstein, Germany
| | - David Ellinghaus
- Institute of Clinical Molecular Biology, Kiel University, University Hospital Schleswig-Holstein, Germany
| | - Andre Franke
- Institute of Clinical Molecular Biology, Kiel University, University Hospital Schleswig-Holstein, Germany
| | - Janina Dose
- Institute of Clinical Molecular Biology, Kiel University, University Hospital Schleswig-Holstein, Germany
| | - Almut Nebel
- Institute of Clinical Molecular Biology, Kiel University, University Hospital Schleswig-Holstein, Germany
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32
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Baghdadi M, Hinterding HM, Partridge L, Deelen J. From mutation to mechanism: deciphering the molecular function of genetic variants linked to human ageing. Brief Funct Genomics 2021; 21:13-23. [PMID: 33690799 PMCID: PMC8789301 DOI: 10.1093/bfgp/elab005] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2020] [Revised: 01/21/2021] [Accepted: 01/25/2021] [Indexed: 01/20/2023] Open
Abstract
Many of the leading causes of death in humans, such as cardiovascular disease, type 2 diabetes and Alzheimer’s disease are influenced by biological mechanisms that become dysregulated with increasing age. Hence, by targeting these ageing-related mechanisms, we may be able to improve health in old age. Ageing is partly heritable and genetic studies have been moderately successful in identifying genetic variants associated with ageing-related phenotypes (lifespan, healthspan and longevity). To decipher the mechanisms by which the identified variants influence ageing, studies that focus on their functional validation are vital. In this perspective, we describe the steps that could be taken in the process of functional validation: (1) in silico characterisation using bioinformatic tools; (2) in vitro characterisation using cell lines or organoids; and (3) in vivo characterisation studies using model organisms. For the in vivo characterisation, it is important to focus on translational phenotypes that are indicative of both healthspan and lifespan, such as the frailty index, to inform subsequent intervention studies. The depth of functional validation of a genetic variant depends on its location in the genome and conservation in model organisms. Moreover, some variants may prove to be hard to characterise due to context-dependent effects related to the experimental environment or genetic background. Future efforts to functionally characterise the (newly) identified genetic variants should shed light on the mechanisms underlying ageing and will help in the design of targeted interventions to improve health in old age.
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Liu X, Song Z, Li Y, Yao Y, Fang M, Bai C, An P, Chen H, Chen Z, Tang B, Shen J, Gao X, Zhang M, Chen P, Zhang T, Jia H, Liu X, Hou Y, Yang H, Wang J, Wang F, Xu X, Min J, Nie C, Zeng Y. Integrated genetic analyses revealed novel human longevity loci and reduced risks of multiple diseases in a cohort study of 15,651 Chinese individuals. Aging Cell 2021; 20:e13323. [PMID: 33657282 PMCID: PMC7963337 DOI: 10.1111/acel.13323] [Citation(s) in RCA: 25] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2020] [Revised: 01/16/2021] [Accepted: 01/23/2021] [Indexed: 12/14/2022] Open
Abstract
There is growing interest in studying the genetic contributions to longevity, but limited relevant genes have been identified. In this study, we performed a genetic association study of longevity in a total of 15,651 Chinese individuals. Novel longevity loci, BMPER (rs17169634; p = 7.91 × 10-15 ) and TMEM43/XPC (rs1043943; p = 3.59 × 10-8 ), were identified in a case-control analysis of 11,045 individuals. BRAF (rs1267601; p = 8.33 × 10-15 ) and BMPER (rs17169634; p = 1.45 × 10-10 ) were significantly associated with life expectancy in 12,664 individuals who had survival status records. Additional sex-stratified analyses identified sex-specific longevity genes. Notably, sex-differential associations were identified in two linkage disequilibrium blocks in the TOMM40/APOE region, indicating potential differences during meiosis between males and females. Moreover, polygenic risk scores and Mendelian randomization analyses revealed that longevity was genetically causally correlated with reduced risks of multiple diseases, such as type 2 diabetes, cardiovascular diseases, and arthritis. Finally, we incorporated genetic markers, disease status, and lifestyles to classify longevity or not-longevity groups and predict life span. Our predictive models showed good performance (AUC = 0.86 for longevity classification and explained 19.8% variance of life span) and presented a greater predictive efficiency in females than in males. Taken together, our findings not only shed light on the genetic contributions to longevity but also elucidate correlations between diseases and longevity.
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Affiliation(s)
- Xiaomin Liu
- BGI‐Shenzhen Shenzhen China
- China National Genebank Shenzhen China
- BGI Education Center University of Chinese Academy of Sciences Shenzhen China
| | - Zijun Song
- The First Affiliated Hospital Institute of Translational Medicine School of Medicine, Zhejiang University Hangzhou China
| | - Yan Li
- BGI‐Shenzhen Shenzhen China
- China National Genebank Shenzhen China
| | - Yao Yao
- Center for the Study of Aging and Human Development Medical School of Duke University Durham USA
- Center for Healthy Aging and Development Studies National School of Development, Raissun Institute for Advanced Studies, Peking University Beijing China
| | - Mingyan Fang
- BGI‐Shenzhen Shenzhen China
- China National Genebank Shenzhen China
| | - Chen Bai
- Center for Healthy Aging and Development Studies National School of Development, Raissun Institute for Advanced Studies, Peking University Beijing China
- School of Labor and Human Resources Renmin University Beijing China
| | - Peng An
- Beijing Advanced Innovation Center for Food Nutrition and Human Health China Agricultural University Beijing China
| | - Huashuai Chen
- Business School of Xiangtan University Xiangtan China
| | - Zhihua Chen
- BGI‐Shenzhen Shenzhen China
- China National Genebank Shenzhen China
| | - Biyao Tang
- The First Affiliated Hospital Institute of Translational Medicine School of Medicine, Zhejiang University Hangzhou China
| | - Juan Shen
- BGI Genomics BGI‐Shenzhen Shenzhen China
| | - Xiaotong Gao
- The First Affiliated Hospital Institute of Translational Medicine School of Medicine, Zhejiang University Hangzhou China
| | | | - Pengyu Chen
- The First Affiliated Hospital Institute of Translational Medicine School of Medicine, Zhejiang University Hangzhou China
| | - Tao Zhang
- BGI‐Shenzhen Shenzhen China
- China National Genebank Shenzhen China
| | - Huijue Jia
- BGI‐Shenzhen Shenzhen China
- China National Genebank Shenzhen China
| | - Xiao Liu
- BGI‐Shenzhen Shenzhen China
- China National Genebank Shenzhen China
| | - Yong Hou
- BGI‐Shenzhen Shenzhen China
- China National Genebank Shenzhen China
| | - Huanming Yang
- BGI‐Shenzhen Shenzhen China
- China National Genebank Shenzhen China
| | - Jian Wang
- BGI‐Shenzhen Shenzhen China
- China National Genebank Shenzhen China
| | - Fudi Wang
- The First Affiliated Hospital Institute of Translational Medicine School of Medicine, Zhejiang University Hangzhou China
- Beijing Advanced Innovation Center for Food Nutrition and Human Health China Agricultural University Beijing China
| | - Xun Xu
- BGI‐Shenzhen Shenzhen China
- China National Genebank Shenzhen China
- Guangdong Provincial Key Laboratory of Genome Read and Write Shenzhen China
| | - Junxia Min
- The First Affiliated Hospital Institute of Translational Medicine School of Medicine, Zhejiang University Hangzhou China
| | - Chao Nie
- BGI‐Shenzhen Shenzhen China
- China National Genebank Shenzhen China
| | - Yi Zeng
- Center for the Study of Aging and Human Development Medical School of Duke University Durham USA
- Center for Healthy Aging and Development Studies National School of Development, Raissun Institute for Advanced Studies, Peking University Beijing China
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Jiang J, Cheng L, Yan L, Ge M, Yang L, Ying H, Kong Q. Decoding the role of long noncoding RNAs in the healthy aging of centenarians. Brief Bioinform 2021; 22:6124916. [PMID: 33517370 DOI: 10.1093/bib/bbaa439] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2020] [Revised: 11/23/2020] [Accepted: 12/29/2020] [Indexed: 12/20/2022] Open
Abstract
Aging is the largest risk factor of major human diseases. Long noncoding RNAs (lncRNAs) as the key regulatory elements have shown a strong impact on multiple biological processes as well as human disease mechanisms. However, the roles of lncRNAs in aging/healthy aging processes remain largely unknown. Centenarians are good models for healthy aging studies due to avoiding major chronic diseases and disabilities. To illustrate their ubiquitous nature in the genome and the 'secrets' of healthy aging regulation from the perspective of lncRNAs, peripheral blood samples from two regions consisting 76 centenarians (CENs), 54 centenarian-children (F1) and 41 spouses of centenarian-children (F1SP) were collected for deep RNA-seq. We identified 11 CEN-specific lncRNAs that is particularly expressed in longevous individuals. By kmers clustering, hundreds of human lncRNAs show similarities with CEN-specific lncRNAs, especially with ENST00000521663 and ENST00000444998. Using F1SP as normal elder controls (age: 59.9 ± 6.6 years), eight lncRNAs that are differentially expressed in longevous elders (CEN group, age: 102.2 ± 2.4 years) were identified as candidate aging/health aging-related lncRNAs (car-lncs). We found that the expression of eight car-lncs in human diploid fibroblasts displayed dynamic changes during cell passage and/or H2O2/rapamycin treatment; of which, overexpression either of THBS1-IT1 and THBS1-AS1, two lncRNAs that highly expressed in CENs, can remarkably decrease p16, p21 and the activity of senescent related β-galactosidase, suggesting that THBS1-IT1 and THBS1-AS1 can inhibit cellular senescence. We provided the first comprehensive analysis of lncRNA expression in longevous populations, and our results hinted that dysregulated lncRNAs in CENs are potential protective factors in healthy aging process.
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Affiliation(s)
- Jianjun Jiang
- State Key Laboratory of Genetic Resources and Evolution/Key Laboratory of Healthy Aging Research of Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650223, China.,Department of Molecular & Cellular Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA.,Kunming College of Life Science, University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Lehua Cheng
- State Key Laboratory of Genetic Resources and Evolution/Key Laboratory of Healthy Aging Research of Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650223, China.,Kunming Key Laboratory of Healthy Aging Study, Chinese Academy of Sciences, Kunming, 650223, China
| | - Liang Yan
- Department of Molecular & Cellular Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA
| | - Mingxia Ge
- State Key Laboratory of Genetic Resources and Evolution/Key Laboratory of Healthy Aging Research of Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650223, China.,Kunming Key Laboratory of Healthy Aging Study, Chinese Academy of Sciences, Kunming, 650223, China.,KIZ/CUHK Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Kunming, 650223, China.,Kunming College of Life Science, University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Liqin Yang
- State Key Laboratory of Genetic Resources and Evolution/Key Laboratory of Healthy Aging Research of Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650223, China.,Kunming Key Laboratory of Healthy Aging Study, Chinese Academy of Sciences, Kunming, 650223, China.,KIZ/CUHK Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Kunming, 650223, China
| | - Haoqiang Ying
- Department of Molecular & Cellular Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA
| | - Qingpeng Kong
- State Key Laboratory of Genetic Resources and Evolution/Key Laboratory of Healthy Aging Research of Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650223, China.,CAS Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming, 650223, China.,Kunming Key Laboratory of Healthy Aging Study, Chinese Academy of Sciences, Kunming, 650223, China.,KIZ/CUHK Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Kunming, 650223, China.,Kunming College of Life Science, University of Chinese Academy of Sciences, Beijing, 100049, China
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van Oort S, Beulens JWJ, van Ballegooijen AJ, Burgess S, Larsson SC. Cardiovascular risk factors and lifestyle behaviours in relation to longevity: a Mendelian randomization study. J Intern Med 2021; 289:232-243. [PMID: 33107078 PMCID: PMC7894570 DOI: 10.1111/joim.13196] [Citation(s) in RCA: 26] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/06/2023]
Abstract
BACKGROUND The American Heart Association introduced the Life's Simple 7 initiative to improve cardiovascular health by modifying cardiovascular risk factors and lifestyle behaviours. It is unclear whether these risk factors are causally associated with longevity. OBJECTIVES This study aimed to investigate causal associations of Life's Simple 7 modifiable risk factors, as well as sleep and education, with longevity using the two-sample Mendelian randomization design. METHODS Instrumental variables for the modifiable risk factors were obtained from large-scale genome-wide association studies. Data on longevity beyond the 90th survival percentile were extracted from a genome-wide association meta-analysis with 11,262 cases and 25,483 controls whose age at death or last contact was ≤ the 60th survival percentile. RESULTS Risk factors associated with a lower odds of longevity included the following: genetic liability to type 2 diabetes (OR 0.88; 95% CI: 0.84;0.92), genetically predicted systolic and diastolic blood pressure (per 1-mmHg increase: 0.96; 0.94;0.97 and 0.95; 0.93;0.97), body mass index (per 1-SD increase: 0.80; 0.74;0.86), low-density lipoprotein cholesterol (per 1-SD increase: 0.75; 0.65;0.86) and smoking initiation (0.75; 0.66;0.85). Genetically increased high-density lipoprotein cholesterol (per 1-SD increase: 1.23; 1.08;1.41) and educational level (per 1-SD increase: 1.64; 1.45;1.86) were associated with a higher odds of longevity. Fasting glucose and other lifestyle factors were not significantly associated with longevity. CONCLUSION Most of the Life's Simple 7 modifiable risk factors are causally related to longevity. Prevention strategies should focus on modifying these risk factors and reducing education inequalities to improve cardiovascular health and longevity.
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Affiliation(s)
- S van Oort
- Department of Surgical Sciences, Uppsala University, Uppsala, Sweden.,Department of Epidemiology and Data Science, Amsterdam Public Health Research Institute and Amsterdam Cardiovascular Sciences Research Institute, Amsterdam University Medical Centers, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - J W J Beulens
- Department of Epidemiology and Data Science, Amsterdam Public Health Research Institute and Amsterdam Cardiovascular Sciences Research Institute, Amsterdam University Medical Centers, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands.,Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, the Netherlands
| | - A J van Ballegooijen
- Department of Epidemiology and Data Science, Amsterdam Public Health Research Institute and Amsterdam Cardiovascular Sciences Research Institute, Amsterdam University Medical Centers, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands.,Department of Nephrology, Amsterdam University Medical Centers, Vrije Universiteit Amsterdam, the Netherlands
| | - S Burgess
- MRC Biostatistics Unit, University of Cambridge, Cambridge, UK.,Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - S C Larsson
- Department of Surgical Sciences, Uppsala University, Uppsala, Sweden.,Unit of Cardiovascular and Nutritional Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
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Rodríguez-Girondo M, van den Berg N, Hof MH, Beekman M, Slagboom E. Improved selection of participants in genetic longevity studies: family scores revisited. BMC Med Res Methodol 2021; 21:7. [PMID: 33407157 PMCID: PMC7789146 DOI: 10.1186/s12874-020-01193-7] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2020] [Accepted: 12/14/2020] [Indexed: 02/08/2023] Open
Abstract
BACKGROUND Although human longevity tends to cluster within families, genetic studies on longevity have had limited success in identifying longevity loci. One of the main causes of this limited success is the selection of participants. Studies generally include sporadically long-lived individuals, i.e. individuals with the longevity phenotype but without a genetic predisposition for longevity. The inclusion of these individuals causes phenotype heterogeneity which results in power reduction and bias. A way to avoid sporadically long-lived individuals and reduce sample heterogeneity is to include family history of longevity as selection criterion using a longevity family score. A main challenge when developing family scores are the large differences in family size, because of real differences in sibship sizes or because of missing data. METHODS We discussed the statistical properties of two existing longevity family scores: the Family Longevity Selection Score (FLoSS) and the Longevity Relatives Count (LRC) score and we evaluated their performance dealing with differential family size. We proposed a new longevity family score, the mLRC score, an extension of the LRC based on random effects modeling, which is robust for family size and missing values. The performance of the new mLRC as selection tool was evaluated in an intensive simulation study and illustrated in a large real dataset, the Historical Sample of the Netherlands (HSN). RESULTS Empirical scores such as the FLOSS and LRC cannot properly deal with differential family size and missing data. Our simulation study showed that mLRC is not affected by family size and provides more accurate selections of long-lived families. The analysis of 1105 sibships of the Historical Sample of the Netherlands showed that the selection of long-lived individuals based on the mLRC score predicts excess survival in the validation set better than the selection based on the LRC score . CONCLUSIONS Model-based score systems such as the mLRC score help to reduce heterogeneity in the selection of long-lived families. The power of future studies into the genetics of longevity can likely be improved and their bias reduced, by selecting long-lived cases using the mLRC.
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Affiliation(s)
- Mar Rodríguez-Girondo
- Department of Biomedical Data Sciences, section of Medical Statistics, Leiden University Medical Center, Albinusdreef 2, 2333, ZA, Leiden, the Netherlands.
| | - Niels van den Berg
- Department of Biomedical Data Sciences, Section of Molecular Epidemiology, Leiden University Medical Center, Albinusdreef 2, 2333, ZA, Leiden, the Netherlands
| | - Michel H Hof
- Department of Clinical Epidemiology, Biostatistics, and Bioinformatics, Amsterdam UMC, University of Amsterdam, Meibergdreef 9, 1105, AZ, Amsterdam, the Netherlands
| | - Marian Beekman
- Department of Biomedical Data Sciences, Section of Molecular Epidemiology, Leiden University Medical Center, Albinusdreef 2, 2333, ZA, Leiden, the Netherlands
| | - Eline Slagboom
- Department of Biomedical Data Sciences, Section of Molecular Epidemiology, Leiden University Medical Center, Albinusdreef 2, 2333, ZA, Leiden, the Netherlands
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Franceschi C, Garagnani P, Olivieri F, Salvioli S, Giuliani C. The Contextualized Genetics of Human Longevity: JACC Focus Seminar. J Am Coll Cardiol 2020; 75:968-979. [PMID: 32130932 DOI: 10.1016/j.jacc.2019.12.032] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/14/2019] [Revised: 12/13/2019] [Accepted: 12/17/2019] [Indexed: 12/17/2022]
Abstract
The genetics of human longevity has long been studied, and in this regard, centenarians represent a very informative model. Centenarians are characterized by 2 main features: 1) the capability to avoid or postpone the major age-related diseases; and 2) a high level of heterogeneity of their phenotype. The first suggests that longevity and resistance to diseases are mediated by shared mechanisms, the latter that many strategies can be used to become long lived, likely as a result of variable genome-environment interactions. The authors suggest that the complexity of genome-environment interactions must be considered within an evolutionary and ecological perspective and that the concept of "risk allele" is highly context dependent, changing with age, time, and geography. Genes involved in both longevity and cardiovascular diseases, taken as a paradigmatic example of age-related diseases, as well as other emerging topics in genetics of longevity, such as micro-ribonucleic acid (miRNA) genetics, polygenic risk scores, environmental pollutants, and somatic mutations are discussed.
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Affiliation(s)
- Claudio Franceschi
- Department of Experimental, Diagnostic and Specialty Medicine, University of Bologna, Bologna, Italy; Department of Applied Mathematics, Institute of Information Technology, Mathematics and Mechanics, Lobachevsky State University of Nizhny Novgorod-National Research University, Nizhny Novgorod, Russia.
| | - Paolo Garagnani
- Department of Experimental, Diagnostic and Specialty Medicine, University of Bologna, Bologna, Italy
| | - Fabiola Olivieri
- Laboratory of Experimental Pathology, Department of Clinical and Molecular Sciences, Università Politecnica delle Marche, Ancona, Italy; Center of Clinical Pathology and Regenerative Therapy, IRCCS INRCA, Ancona, Italy
| | - Stefano Salvioli
- Department of Experimental, Diagnostic and Specialty Medicine, University of Bologna, Bologna, Italy
| | - Cristina Giuliani
- Laboratory of Molecular Anthropology and Centre for Genome Biology, Department of Biological, Geological and Environmental Sciences, University of Bologna, Bologna, Italy.
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Christensen K, Wojczynski MK, Pedersen JK, Larsen LA, Kløjgaard S, Skytthe A, McGue M, Vaupel JW, Province MA. Mechanisms underlying familial aggregation of exceptional health and survival: A three-generation cohort study. Aging Cell 2020; 19:e13228. [PMID: 32886847 PMCID: PMC7576291 DOI: 10.1111/acel.13228] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2020] [Revised: 07/29/2020] [Accepted: 08/11/2020] [Indexed: 01/26/2023] Open
Abstract
The familial resemblance in length of adult life is very modest. Studies of parent-offspring and twins suggest that exceptional health and survival have a stronger genetic component than lifespan generally. To shed light on the underlying mechanisms, we collected information on Danish long-lived siblings (born 1886-1938) from 659 families, their 5379 offspring (born 1917-1982), and 10,398 grandchildren (born 1950-2010) and matched background population controls through the Danish 1916 Census, the Civil Registration System, the National Patient Register, and the Register of Causes of Death. Comparison with the background, population revealed consistently lower occurrence of almost all disease groups and causes of death in the offspring and the grandchildren. The expected incidence of hospitalization for mental and behavioral disorders was reduced by half in the offspring (hazard ratio 0.53, 95% confidence interval 0.45-0.62) and by one-third in the grandchildren (0.69, 0.61-0.78), while the numbers for tobacco-related cancer were 0.60 (0.51-0.70) and 0.71 (0.48-1.05), respectively. Within-family analyses showed a general, as opposed to specific, lowering of disease risk. Early parenthood and divorce were markedly less frequent in the longevity-enriched families, while economic and educational differences were small to moderate. The longevity-enriched families in this study have a general health advantage spanning three generations. The particularly low occurrence of mental and behavioral disorders and tobacco-related cancers together with indicators of family stability and only modest socioeconomic advantage implicate behavior as a key mechanism underlying familial aggregation of exceptional health and survival.
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Affiliation(s)
- Kaare Christensen
- Department of Public HealthDanish Aging Research CenterUniversity of Southern DenmarkOdenseDenmark
| | - Mary K. Wojczynski
- Department of GeneticsWashington University School of MedicineSt. LouisMOUSA
| | - Jacob K. Pedersen
- Department of Public HealthDanish Aging Research CenterUniversity of Southern DenmarkOdenseDenmark
| | - Lisbeth A. Larsen
- Department of Public HealthDanish Aging Research CenterUniversity of Southern DenmarkOdenseDenmark
| | - Susanne Kløjgaard
- Department of Public HealthDanish Aging Research CenterUniversity of Southern DenmarkOdenseDenmark
| | - Axel Skytthe
- Department of Public HealthDanish Aging Research CenterUniversity of Southern DenmarkOdenseDenmark
| | - Matt McGue
- Department of Public HealthDanish Aging Research CenterUniversity of Southern DenmarkOdenseDenmark
- Department of PsychologyUniversity of MinnesotaMinneapolisMNUSA
| | - James W. Vaupel
- Center on Population DynamicsUniversity of Southern DenmarkOdenseDenmark
| | - Michael A. Province
- Department of GeneticsWashington University School of MedicineSt. LouisMOUSA
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Baecklund F, Ekberg S, Rosenquist R, Askling J, Eloranta S, Smedby KE. Concordance in survival among first-degree relatives diagnosed with indolent lymphoid malignancies including chronic lymphocytic leukemia. Eur J Haematol 2020; 105:779-785. [PMID: 32871627 PMCID: PMC7702025 DOI: 10.1111/ejh.13510] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2020] [Revised: 08/19/2020] [Accepted: 08/19/2020] [Indexed: 12/18/2022]
Abstract
Objectives To investigate concordance in survival time among first‐degree relatives with lymphoid malignancies. Methods By linkage of national Swedish registers, we identified 66 430 patients diagnosed with a lymphoid malignancy 1958‐2016 with information on first‐degree relationships and follow‐up until 2017. Among these, we identified pairs of first‐degree relatives with any (N = 3326) or a similar (N = 690) lymphoid malignancy subtype. We defined survival in the first‐degree relative as good, expected, or poor based on tertiles of deviance residuals from a multivariable Cox regression model. Next, we used Cox regression to estimate hazard ratios (HR) of death with 95% confidence intervals (CI) among patients, using the survival of their first‐degree relative as exposure and adjusting for confounders. Results There was no concordance in survival among first‐degree relatives with any lymphoid malignancy (HRgood = 1.00 (reference), HRExpected = 1.02, 95% CI: 0.89‐1.17, HRPoor = 1.12, 95% CI: 0.98‐1.27, Ptrend = .08). Among first‐degree relatives with indolent lymphoma, including chronic lymphocytic leukemia, those with a first‐degree relative to an expected or poor survival had worse outcome compared to those with a first‐degree relative with good survival (HRExpected = 1.44, 95% CI: 0.82‐2.53, HRPoor = 1.79, 95% CI: 1.07‐3.00, Ptrend = .03). Conclusion Our results support a role of inherited factors in the outcome of indolent lymphoma, including chronic lymphocytic leukemia.
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Affiliation(s)
- Fredrik Baecklund
- Department of Medicine Solna, Clinical Epidemiology Division, Karolinska Institutet, Stockholm, Sweden.,Pediatric Oncology Unit, Karolinska University Hospital, Stockholm, Sweden
| | - Sara Ekberg
- Department of Medicine Solna, Clinical Epidemiology Division, Karolinska Institutet, Stockholm, Sweden
| | - Richard Rosenquist
- Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden.,Department of Clinical Genetics, Karolinska University Hospital, Stockholm, Sweden
| | - Johan Askling
- Department of Medicine Solna, Clinical Epidemiology Division, Karolinska Institutet, Stockholm, Sweden.,Rheumatology, Theme Inflammation & Infection, Karolinska University Hospital, Stockholm, Sweden
| | - Sandra Eloranta
- Department of Medicine Solna, Clinical Epidemiology Division, Karolinska Institutet, Stockholm, Sweden
| | - Karin E Smedby
- Department of Medicine Solna, Clinical Epidemiology Division, Karolinska Institutet, Stockholm, Sweden.,Department of Hematology, Karolinska University Hospital, Stockholm, Sweden
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Zhang ZD, Milman S, Lin JR, Wierbowski S, Yu H, Barzilai N, Gorbunova V, Ladiges WC, Niedernhofer LJ, Suh Y, Robbins PD, Vijg J. Genetics of extreme human longevity to guide drug discovery for healthy ageing. Nat Metab 2020; 2:663-672. [PMID: 32719537 PMCID: PMC7912776 DOI: 10.1038/s42255-020-0247-0] [Citation(s) in RCA: 27] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/12/2019] [Accepted: 06/22/2020] [Indexed: 02/07/2023]
Abstract
Ageing is the greatest risk factor for most common chronic human diseases, and it therefore is a logical target for developing interventions to prevent, mitigate or reverse multiple age-related morbidities. Over the past two decades, genetic and pharmacologic interventions targeting conserved pathways of growth and metabolism have consistently led to substantial extension of the lifespan and healthspan in model organisms as diverse as nematodes, flies and mice. Recent genetic analysis of long-lived individuals is revealing common and rare variants enriched in these same conserved pathways that significantly correlate with longevity. In this Perspective, we summarize recent insights into the genetics of extreme human longevity and propose the use of this rare phenotype to identify genetic variants as molecular targets for gaining insight into the physiology of healthy ageing and the development of new therapies to extend the human healthspan.
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Affiliation(s)
- Zhengdong D Zhang
- Department of Genetics, Albert Einstein College of Medicine, New York, NY, USA.
| | - Sofiya Milman
- Department of Genetics, Albert Einstein College of Medicine, New York, NY, USA
- Department of Medicine, Albert Einstein College of Medicine, New York, NY, USA
| | - Jhih-Rong Lin
- Department of Genetics, Albert Einstein College of Medicine, New York, NY, USA
| | - Shayne Wierbowski
- Department of Computational Biology, Weill Institute for Cell and Molecular Biology, Cornell University, New York, NY, USA
| | - Haiyuan Yu
- Department of Computational Biology, Weill Institute for Cell and Molecular Biology, Cornell University, New York, NY, USA
| | - Nir Barzilai
- Department of Genetics, Albert Einstein College of Medicine, New York, NY, USA
- Department of Medicine, Albert Einstein College of Medicine, New York, NY, USA
| | - Vera Gorbunova
- Department of Biology, University of Rochester, Rochester, NY, USA
| | - Warren C Ladiges
- Department of Comparative Medicine, School of Medicine, University of Washington, Seattle, WA, USA
| | - Laura J Niedernhofer
- Institute on the Biology of Aging and Metabolism and Department of Biochemistry, Molecular Biology, and Biophysics, University of Minnesota, Minneapolis, MN, USA
| | - Yousin Suh
- Department of Genetics, Albert Einstein College of Medicine, New York, NY, USA
- Departments of Obstetrics and Gynecology, Genetics and Development, Columbia University, New York, NY, USA
| | - Paul D Robbins
- Institute on the Biology of Aging and Metabolism and Department of Biochemistry, Molecular Biology, and Biophysics, University of Minnesota, Minneapolis, MN, USA
| | - Jan Vijg
- Department of Genetics, Albert Einstein College of Medicine, New York, NY, USA
- Center for Single-Cell Omics in Aging and Disease, School of Public Health, Shanghai, Jiao Tong University School of Medicine, Shanghai, China
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Galvin A, Ukraintseva S, Arbeev K, Feitosa M, Christensen K. Physical robustness and resilience among long-lived female siblings: a comparison with sporadic long-livers. Aging (Albany NY) 2020; 12:15157-15168. [PMID: 32652515 PMCID: PMC7425496 DOI: 10.18632/aging.103618] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2020] [Accepted: 06/22/2020] [Indexed: 11/25/2022]
Abstract
Long-lived individuals are central in studies of healthy longevity. However, few pro-longevity factors have been identified, presumably because of “phenocopies”, i.e. individuals that live long by chance. Familial longevity cases may include less phenocopies than sporadic cases and provide better insights into longevity mechanisms. Here we examined whether long-lived female siblings have a better ability to avoid diseases at ages 65+ (proxy for “robustness”) and/or survive to extreme ages (proxy for “resilience”) compared to sporadic long-livers. A total of 1,156 long-lived female siblings were selected from three nationwide Danish studies and age-matched with sporadic long-lived female controls. Outcomes included cumulative incidence of common health disorders from age 65 and overall survival. Long-lived female siblings had lower risks of some but not all health conditions, most significantly, depression (OR=0.74; 95%CI=0.62-0.88), and less significantly hypertensive (OR=0.84; 95%CI=0.71-0.99) and cerebrovascular (OR=0.73; 95%CI=0.55-0.96) diseases. They also had consistently better survival to extreme ages (HR=0.71; 95%CI= 0.63-0.81) compared to sporadic long-livers. After adjustment for the diseases, the association with mortality changed only marginally suggesting central role of better physiological resilience in familial longevity. Due to their consistently better resilience, familial longevity cases could be more informative than sporadic cases for studying mechanisms of healthy longevity.
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Affiliation(s)
- Angéline Galvin
- Epidemiology, Biostatistics, and Biodemography, Department of Public Health, University of Southern Denmark, Odense, Denmark
| | | | - Konstantin Arbeev
- Center for Population Health and Aging, Duke University, Durham, NC 27708, USA
| | - Mary Feitosa
- Division of Statistical Genomics, Department of Genetics, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Kaare Christensen
- Epidemiology, Biostatistics, and Biodemography, Department of Public Health, University of Southern Denmark, Odense, Denmark.,The Danish Aging Research Center, Department of Public Health, University of Southern Denmark, Odense, Denmark
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42
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Sathyan S, Verghese J. Genetics of frailty: A longevity perspective. Transl Res 2020; 221:83-96. [PMID: 32289255 PMCID: PMC7729977 DOI: 10.1016/j.trsl.2020.03.005] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/02/2020] [Revised: 02/18/2020] [Accepted: 03/09/2020] [Indexed: 12/31/2022]
Abstract
Frailty is a complex late life phenotype characterized by cumulative declines in multiple physiological systems that increases the risk for disability and mortality. The biological changes associated with aging are risk factors for frailty as well as for complex diseases; whereas longevity is assumed to be an outcome of protective biological mechanisms. Understanding the interplay between biological alterations associated with aging and protective mechanisms associated with longevity in the context of frailty may help guide development of interventions to increase healthspan and promote successful aging. The complexity of these phenotypes and relatively low heritability in studies are the main roadblocks in deciphering genetic mechanisms of these age associated conditions. We review genetic research related to frailty, and discuss the possible intertwined biology of frailty and longevity.
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Affiliation(s)
- Sanish Sathyan
- Department of Neurology, Albert Einstein College of Medicine, Bronx, New York
| | - Joe Verghese
- Department of Neurology, Albert Einstein College of Medicine, Bronx, New York; Department of Medicine, Albert Einstein College of Medicine, Bronx, New York.
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43
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Berg N, Rodríguez‐Girondo M, Mandemakers K, Janssens AAPO, Beekman M, Slagboom PE. Longevity Relatives Count score identifies heritable longevity carriers and suggests case improvement in genetic studies. Aging Cell 2020; 19:e13139. [PMID: 32352215 PMCID: PMC7294789 DOI: 10.1111/acel.13139] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2019] [Revised: 01/24/2020] [Accepted: 02/23/2020] [Indexed: 12/23/2022] Open
Abstract
Loci associated with longevity are likely to harbor genes coding for key players of molecular pathways involved in a lifelong decreased mortality and decreased/compressed morbidity. However, identifying such loci is challenging. One of the most plausible reasons is the uncertainty in defining long‐lived cases with the heritable longevity trait among long‐living phenocopies. To avoid phenocopies, family selection scores have been constructed, but these have not yet been adopted as state of the art in longevity research. Here, we aim to identify individuals with the heritable longevity trait by using current insights and a novel family score based on these insights. We use a unique dataset connecting living study participants to their deceased ancestors covering 37,825 persons from 1,326 five‐generational families, living between 1788 and 2019. Our main finding suggests that longevity is transmitted for at least two subsequent generations only when at least 20% of all relatives are long‐lived. This proves the importance of family data to avoid phenocopies in genetic studies.
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Affiliation(s)
- Niels Berg
- Section of Molecular Epidemiology Department of Biomedical Data Sciences Leiden University Medical Center Leiden The Netherlands
- Radboud Group for Historical Demography and Family History Radboud University Nijmegen The Netherlands
| | - Mar Rodríguez‐Girondo
- Section of Medical Statistics Department of Biomedical Data Sciences Leiden University Medical Center Leiden The Netherlands
| | - Kees Mandemakers
- International Institute of Social History Amsterdam The Netherlands
| | | | - Marian Beekman
- Section of Molecular Epidemiology Department of Biomedical Data Sciences Leiden University Medical Center Leiden The Netherlands
| | - P. Eline Slagboom
- Section of Molecular Epidemiology Department of Biomedical Data Sciences Leiden University Medical Center Leiden The Netherlands
- Max Planck Institute for Biology of Ageing Cologne Germany
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44
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Deelen J. Searching for the genetic key to a long and healthy life. eLife 2020; 9:57242. [PMID: 32329715 PMCID: PMC7182428 DOI: 10.7554/elife.57242] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2020] [Accepted: 04/21/2020] [Indexed: 12/17/2022] Open
Abstract
A study of over 40,000 individuals suggests that carrying a small number of ultra-rare genetic variants is associated with a longer lifespan.
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Affiliation(s)
- Joris Deelen
- Max Planck Institute for Biology of Ageing, Cologne, Germany
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45
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Michel JP, Ecarnot F. Integrating functional ageing into daily clinical practice. J Frailty Sarcopenia Falls 2020; 4:30-35. [PMID: 32300715 PMCID: PMC7155303 DOI: 10.22540/jfsf-04-030] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/23/2019] [Indexed: 12/20/2022] Open
Abstract
The analysis of the ageing trajectory clearly demonstrates the constant involvement of functional ability in daily life, from its development in youth, to its preservation through midlife into very old age. While maintaining function appears to be largely related to persistent regular exercise, the risk factors for functional decline are extremely diverse, ranging from a decrease or discontinuation of physical activity, to nutritional/metabolic disturbances, chronic diseases and unfavourable socio-demographic and socio-economic contexts. Prevention of functional decline is a major public health challenge, both for individuals and for society as a whole, and needs to be urgently addressed. Engaging citizens to be conscious of their responsibility for, and role in their own ageing process is equally as important as reinforcing the involvement of society in promoting healthy ageing through enhanced basic and health education, promotion of a healthy diet, long term practice of moderate physical activity, and the continual battle against deleterious life habits and behaviours. The success of these combined actions would be quite simply demonstrated by a change from the current pandemics of morbidity, to the compression of disability, which is expected by all.
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Affiliation(s)
- Jean-Pierre Michel
- University of Geneva, Switzerland and French Academy of Medicine, Paris, France
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46
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van den Berg N, van Dijk IK, Mourits RJ, Slagboom PE, Janssens AAPO, Mandemakers K. Families in comparison: An individual-level comparison of life-course and family reconstructions between population and vital event registers. Population Studies 2020; 75:91-110. [PMID: 32056500 DOI: 10.1080/00324728.2020.1718186] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
Abstract
It remains unknown how different types of sources affect the reconstruction of life courses and families in large-scale databases increasingly common in demographic research. Here, we compare family and life-course reconstructions for 495 individuals simultaneously present in two well-known Dutch data sets: LINKS, based on the Zeeland province's full-population vital event registration data (passive registration), and the Historical Sample of the Netherlands (HSN), based on a national sample of birth certificates, with follow-up of individuals in population registers (active registration). We compare indicators of fertility, marriage, mortality, and occupational status, and conclude that reconstructions in the HSN and LINKS reflect each other well: LINKS provides more complete information on siblings and parents, whereas the HSN provides more complete life-course information. We conclude that life-course and family reconstructions based on linked passive registration of individuals constitute a reliable alternative to reconstructions based on active registration, if case selection is carefully considered.
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Abstract
The past two centuries have witnessed an unprecedented rise in human life expectancy. Sustaining longer lives with reduced periods of disability will require an understanding of the underlying mechanisms of ageing, and genetics is a powerful tool for identifying these mechanisms. Large-scale genome-wide association studies have recently identified many loci that influence key human ageing traits, including lifespan. Multi-trait loci have been linked with several age-related diseases, suggesting shared ageing influences. Mutations that drive accelerated ageing in prototypical progeria syndromes in humans point to an important role for genome maintenance and stability. Together, these different strands of genetic research are highlighting pathways for the discovery of anti-ageing interventions that may be applicable in humans.
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48
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Breitbach ME, Greenspan S, Resnick NM, Perera S, Gurkar AU, Absher D, Levine AS. Exonic Variants in Aging-Related Genes Are Predictive of Phenotypic Aging Status. Front Genet 2019; 10:1277. [PMID: 31921313 PMCID: PMC6931058 DOI: 10.3389/fgene.2019.01277] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2019] [Accepted: 11/19/2019] [Indexed: 01/31/2023] Open
Abstract
Background: Recent studies investigating longevity have revealed very few convincing genetic associations with increased lifespan. This is, in part, due to the complexity of biological aging, as well as the limited power of genome-wide association studies, which assay common single nucleotide polymorphisms (SNPs) and require several thousand subjects to achieve statistical significance. To overcome such barriers, we performed comprehensive DNA sequencing of a panel of 20 genes previously associated with phenotypic aging in a cohort of 200 individuals, half of whom were clinically defined by an "early aging" phenotype, and half of whom were clinically defined by a "late aging" phenotype based on age (65-75 years) and the ability to walk up a flight of stairs or walk for 15 min without resting. A validation cohort of 511 late agers was used to verify our results. Results: We found early agers were not enriched for more total variants in these 20 aging-related genes than late agers. Using machine learning methods, we identified the most predictive model of aging status, both in our discovery and validation cohorts, to be a random forest model incorporating damaging exon variants [Combined Annotation-Dependent Depletion (CADD) > 15]. The most heavily weighted variants in the model were within poly(ADP-ribose) polymerase 1 (PARP1) and excision repair cross complementation group 5 (ERCC5), both of which are involved in a canonical aging pathway, DNA damage repair. Conclusion: Overall, this study implemented a framework to apply machine learning to identify sequencing variants associated with complex phenotypes such as aging. While the small sample size making up our cohort inhibits our ability to make definitive conclusions about the ability of these genes to accurately predict aging, this study offers a unique method for exploring polygenic associations with complex phenotypes.
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Affiliation(s)
- Megan E. Breitbach
- HudsonAlpha Institute for Biotechnology, Hunstville, AL, United States
- Department of Biotechnology Science and Engineering, University of Alabama in Huntsville, Hunstville, AL, United States
| | - Susan Greenspan
- Division of Geriatric Medicine, Department of Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, United States
| | - Neil M. Resnick
- Division of Geriatric Medicine, Department of Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, United States
- Institute on Aging of UPMC, University of Pittsburgh School of Medicine, Pittsburgh, PA, United States
| | - Subashan Perera
- Division of Geriatric Medicine, Department of Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, United States
- Department of Biostatistics, University of Pittsburgh Graduate School of Public Health, Pittsburgh, PA, United States
| | - Aditi U. Gurkar
- Division of Geriatric Medicine, Department of Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, United States
- Institute on Aging of UPMC, University of Pittsburgh School of Medicine, Pittsburgh, PA, United States
| | - Devin Absher
- HudsonAlpha Institute for Biotechnology, Hunstville, AL, United States
| | - Arthur S. Levine
- Department of Microbiology and Molecular Genetics, University of Pittsburgh School of Medicine, Pittsburgh, PA, United States
- UPMC Hillman Cancer Center, Pittsburgh, PA, United States
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49
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A matter of life and longer life. J Aging Stud 2019; 50:100800. [PMID: 31526498 DOI: 10.1016/j.jaging.2019.100800] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2019] [Revised: 07/03/2019] [Accepted: 07/06/2019] [Indexed: 10/26/2022]
Abstract
While the major scientific discoveries that would extend the length and health of human lives are not yet here, the research that could create them is already underway. As prospects for a world in which extended and improved lives inches closer into reality, the discourse about what to consider as we move forward grows richer, with corporate executives, ideologues, scientists, theologians, ethicists, investigative journalists, and philosophers taking part in imagining and anticipating the rich array of humanity's possible futures. Drawing from in-depth interviews with key stakeholders (n = 22), we offer empirical insights into key values and beliefs animating the "longevity movement," including what constitutes an ideal human state, the imperative to intervene, and the role of individual liberty and concerns for equality. Emerging from these interviews are common concerns about reducing suffering, preserving diversity in visions of successful aging and how best to promote access to a future that may not remain hypothetical for long.
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50
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Deelen J, Evans DS, Arking DE, Tesi N, Nygaard M, Liu X, Wojczynski MK, Biggs ML, van der Spek A, Atzmon G, Ware EB, Sarnowski C, Smith AV, Seppälä I, Cordell HJ, Dose J, Amin N, Arnold AM, Ayers KL, Barzilai N, Becker EJ, Beekman M, Blanché H, Christensen K, Christiansen L, Collerton JC, Cubaynes S, Cummings SR, Davies K, Debrabant B, Deleuze JF, Duncan R, Faul JD, Franceschi C, Galan P, Gudnason V, Harris TB, Huisman M, Hurme MA, Jagger C, Jansen I, Jylhä M, Kähönen M, Karasik D, Kardia SLR, Kingston A, Kirkwood TBL, Launer LJ, Lehtimäki T, Lieb W, Lyytikäinen LP, Martin-Ruiz C, Min J, Nebel A, Newman AB, Nie C, Nohr EA, Orwoll ES, Perls TT, Province MA, Psaty BM, Raitakari OT, Reinders MJT, Robine JM, Rotter JI, Sebastiani P, Smith J, Sørensen TIA, Taylor KD, Uitterlinden AG, van der Flier W, van der Lee SJ, van Duijn CM, van Heemst D, Vaupel JW, Weir D, Ye K, Zeng Y, Zheng W, Holstege H, Kiel DP, Lunetta KL, Slagboom PE, Murabito JM. A meta-analysis of genome-wide association studies identifies multiple longevity genes. Nat Commun 2019; 10:3669. [PMID: 31413261 PMCID: PMC6694136 DOI: 10.1038/s41467-019-11558-2] [Citation(s) in RCA: 168] [Impact Index Per Article: 33.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2018] [Accepted: 07/17/2019] [Indexed: 12/16/2022] Open
Abstract
Human longevity is heritable, but genome-wide association (GWA) studies have had limited success. Here, we perform two meta-analyses of GWA studies of a rigorous longevity phenotype definition including 11,262/3484 cases surviving at or beyond the age corresponding to the 90th/99th survival percentile, respectively, and 25,483 controls whose age at death or at last contact was at or below the age corresponding to the 60th survival percentile. Consistent with previous reports, rs429358 (apolipoprotein E (ApoE) ε4) is associated with lower odds of surviving to the 90th and 99th percentile age, while rs7412 (ApoE ε2) shows the opposite. Moreover, rs7676745, located near GPR78, associates with lower odds of surviving to the 90th percentile age. Gene-level association analysis reveals a role for tissue-specific expression of multiple genes in longevity. Finally, genetic correlation of the longevity GWA results with that of several disease-related phenotypes points to a shared genetic architecture between health and longevity.
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Affiliation(s)
- Joris Deelen
- Max Planck Institute for Biology of Ageing, 50866, Cologne, Germany.
- Molecular Epidemiology, Department of Biomedical Data Sciences, Leiden University Medical Center, 2300 RC, Leiden, The Netherlands.
| | - Daniel S Evans
- California Pacific Medical Center Research Institute, San Francisco, CA, 94158, USA.
| | - Dan E Arking
- McKusick-Nathans Institute of Genetic Medicine, Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, 21287, USA
| | - Niccolò Tesi
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, 1007 MB, Amsterdam, The Netherlands
- Department of Clinical Genetics, Amsterdam UMC, 1007 MB, Amsterdam, The Netherlands
- Delft Bioinformatics Lab, Delft University of Technology, 2600 GA, Delft, The Netherlands
| | - Marianne Nygaard
- The Danish Aging Research Center, Department of Public Health, University of Southern Denmark, 5000, Odense C, Denmark
| | - Xiaomin Liu
- BGI-Shenzhen, Shenzhen, 518083, China
- China National Genebank, BGI-Shenzhen, Shenzhen, 518120, China
| | - Mary K Wojczynski
- Division of Statistical Genomics, Department of Genetics, Washington University School of Medicine, Saint Louis, MO, 63110, USA
| | - Mary L Biggs
- Department of Biostatistics, University of Washington, Seattle, WA, 98115, USA
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, 98101, USA
| | | | - Gil Atzmon
- Department of Biology, Faculty of Natural Science, University of Haifa, Haifa, 3498838, Israel
- Departments of Medicine and Genetics, Albert Einstein College of Medicine, Bronx, NY, 10461, USA
| | - Erin B Ware
- Institute for Social Research, Survey Research Center, University of Michigan, Ann Arbor, MI, 48104, USA
| | - Chloé Sarnowski
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, 02118, USA
| | - Albert V Smith
- School of Public Health, Department of Biostatistics, University of Michigan, Ann Arbor, MI, 48109, USA
- Icelandic Heart Association, 201, Kópavogur, Iceland
| | - Ilkka Seppälä
- Department of Clinical Chemistry, Fimlab Laboratories and Finnish Cardiovascular Research Center-Tampere, Faculty of Medicine and Health Technology, Tampere University, 33520, Tampere, Finland
| | - Heather J Cordell
- Institute of Genetic Medicine, Newcastle University, Newcastle upon Tyne, NE1 3BZ, UK
| | - Janina Dose
- Institute of Clinical Molecular Biology, Kiel University, 24105, Kiel, Germany
| | - Najaf Amin
- Department of Epidemiology, Erasmus MC, 3000 CA, Rotterdam, The Netherlands
| | - Alice M Arnold
- Department of Biostatistics, University of Washington, Seattle, WA, 98115, USA
| | | | - Nir Barzilai
- Departments of Medicine and Genetics, Albert Einstein College of Medicine, Bronx, NY, 10461, USA
| | | | - Marian Beekman
- Molecular Epidemiology, Department of Biomedical Data Sciences, Leiden University Medical Center, 2300 RC, Leiden, The Netherlands
| | | | - Kaare Christensen
- The Danish Aging Research Center, Department of Public Health, University of Southern Denmark, 5000, Odense C, Denmark
- Clinical Biochemistry and Pharmacology, Odense University Hospital, 5000, Odense C, Denmark
- Department of Clinical Genetics, Odense University Hospital, 5000, Odense C, Denmark
| | - Lene Christiansen
- The Danish Aging Research Center, Department of Public Health, University of Southern Denmark, 5000, Odense C, Denmark
- Department of Clinical Immunology, Copenhagen University Hospital, Rigshospitalet, 2100, Copenhagen, Denmark
| | - Joanna C Collerton
- Institute of Health & Society, Newcastle University, Newcastle upon Tyne, NE4 5PL, UK
| | - Sarah Cubaynes
- MMDN, Univ. Montpellier, EPHE, Unité Inserm 1198, PSL Research University, 34095, Montpellier, France
| | - Steven R Cummings
- California Pacific Medical Center Research Institute, San Francisco, CA, 94158, USA
| | - Karen Davies
- Institute of Neuroscience, Newcastle University, Newcastle upon Tyne, NE4 5PL, UK
| | - Birgit Debrabant
- Department of Public Health, University of Southern Denmark, 5000, Odense C, Denmark
| | - Jean-François Deleuze
- Fondation Jean Dausset-CEPH, 75010, Paris, France
- Centre National de Recherche en Génomique Humaine, CEA-Institut de Biologie François Jacob, 91000, Evry, France
| | - Rachel Duncan
- Institute of Health & Society, Newcastle University, Newcastle upon Tyne, NE4 5PL, UK
- Newcastle University Institute for Ageing, Newcastle University, Newcastle upon Tyne, NE4 5PL, UK
| | - Jessica D Faul
- Institute for Social Research, Survey Research Center, University of Michigan, Ann Arbor, MI, 48104, USA
| | - Claudio Franceschi
- Department of Applied Mathematics and Centre of Bioinformatics, Lobachevsky State University of Nizhny Novgorod, Nizhny Novgorod, 603022, Russia
- IRCCS Institute of Neurological Sciences of Bologna (ISNB), 40124, Bologna, Italy
| | - Pilar Galan
- EREN, UMR U1153 Inserm/U1125 Inra/Cnam/Paris 13, Université Paris 13, CRESS, 93017, Bobigny, France
| | - Vilmundur Gudnason
- Icelandic Heart Association, 201, Kópavogur, Iceland
- Faculty of Medicine, University of Iceland, 101, Reykjavik, Iceland
| | - Tamara B Harris
- Laboratory of Epidemiology and Population Sciences, National Institute on Aging, NIH, Bethesda, MD, 20892, USA
| | - Martijn Huisman
- Department of Epidemiology and Biostatistics, Vrije Universiteit Amsterdam, Amsterdam UMC, 1007 MB, Amsterdam, The Netherlands
- Amsterdam Public Health Research Institute, 1007 MB, Amsterdam, The Netherlands
| | - Mikko A Hurme
- Department of Microbiology and Immunology, Faculty of Medicine and Health Technology, Tampere University, 33014, Tampere, Finland
| | - Carol Jagger
- Institute of Health & Society, Newcastle University, Newcastle upon Tyne, NE4 5PL, UK
- Newcastle University Institute for Ageing, Newcastle University, Newcastle upon Tyne, NE4 5PL, UK
| | - Iris Jansen
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, 1007 MB, Amsterdam, The Netherlands
- Department of Complex Trait Genetics, Center for Neurogenomics and Cognitive Research, Vrije Universiteit Amsterdam, 1081 HV, Amsterdam, The Netherlands
| | - Marja Jylhä
- Faculty of Social Sciences (Health Sciences) and Gerontology Research Center (GEREC), Tampere University, 33104, Tampere, Finland
| | - Mika Kähönen
- Department of Clinical Physiology, Tampere University Hospital and Finnish Cardiovascular Research Center-Tampere, Faculty of Medicine and Health Technology, Tampere University, 33521, Tampere, Finland
| | - David Karasik
- Azrieli Faculty of Medicine, Bar Ilan University, Safed, 13010, Israel
- Hinda and Arthur Marcus Institute for Aging Research, Hebrew SeniorLife, Boston, MA, 02131, USA
| | - Sharon L R Kardia
- School of Public Health, Epidemiology, University of Michigan, Ann Arbor, MI, 48109, USA
| | - Andrew Kingston
- Institute of Health & Society, Newcastle University, Newcastle upon Tyne, NE4 5PL, UK
- Newcastle University Institute for Ageing, Newcastle University, Newcastle upon Tyne, NE4 5PL, UK
| | - Thomas B L Kirkwood
- Newcastle University Institute for Ageing, Newcastle University, Newcastle upon Tyne, NE4 5PL, UK
| | - Lenore J Launer
- Laboratory of Epidemiology and Population Sciences, National Institute on Aging, NIH, Bethesda, MD, 20892, USA
| | - Terho Lehtimäki
- Department of Clinical Chemistry, Fimlab Laboratories and Finnish Cardiovascular Research Center-Tampere, Faculty of Medicine and Health Technology, Tampere University, 33520, Tampere, Finland
| | - Wolfgang Lieb
- Institute of Epidemiology and Biobank PopGen, Kiel University, 24105, Kiel, Germany
| | - Leo-Pekka Lyytikäinen
- Department of Clinical Chemistry, Fimlab Laboratories and Finnish Cardiovascular Research Center-Tampere, Faculty of Medicine and Health Technology, Tampere University, 33520, Tampere, Finland
| | - Carmen Martin-Ruiz
- Institute of Neuroscience, Newcastle University, Newcastle upon Tyne, NE4 5PL, UK
| | - Junxia Min
- Institute of Translational Medicine, School of Medicine, Zhejiang University, Hangzhou, 311058, China
| | - Almut Nebel
- Institute of Clinical Molecular Biology, Kiel University, 24105, Kiel, Germany
| | - Anne B Newman
- Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA, 15261, USA
| | - Chao Nie
- BGI-Shenzhen, Shenzhen, 518083, China
| | - Ellen A Nohr
- Research Unit of Gynecology and Obstetrics, Department of Clinical Research, University of Southern Denmark, 5000, Odense C, Denmark
| | - Eric S Orwoll
- Bone and Mineral Unit, Oregon Health Sciences University, Portland, OR, 97239, USA
| | - Thomas T Perls
- Department of Medicine, Geriatrics Section, Boston Medical Center, Boston University School of Medicine, Boston, MA, 02118, USA
| | - Michael A Province
- Division of Statistical Genomics, Department of Genetics, Washington University School of Medicine, Saint Louis, MO, 63110, USA
| | - Bruce M Psaty
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, 98101, USA
- Department of Epidemiology, University of Washington, Seattle, WA, 98101, USA
- Department of Health Services, University of Washington, Seattle, WA, 98101, USA
- Kaiser Permanente Washington Health Research Institute, Seattle, WA, 98101, USA
| | - Olli T Raitakari
- Department of Clinical Physiology and Nuclear Medicine, Turku University Hospital, 20521, Turku, Finland
- Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, 20014, Turku, Finland
| | - Marcel J T Reinders
- Delft Bioinformatics Lab, Delft University of Technology, 2600 GA, Delft, The Netherlands
| | - Jean-Marie Robine
- MMDN, Univ. Montpellier, EPHE, Unité Inserm 1198, PSL Research University, 34095, Montpellier, France
- CERMES3, UMR CNRS 8211-Unité Inserm 988-EHESS-Université Paris Descartes, 94801, Paris, France
| | - Jerome I Rotter
- Institute for Translational Genomics and Population Sciences, Los Angeles Biomedical Research Institute at Harbor-UCLA Medical Center, Torrance, CA, 90502, USA
- Division of Genetic Outcomes, Department of Pediatrics, Harbor-UCLA Medical Center, Torrance, CA, 90502, USA
| | - Paola Sebastiani
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, 02118, USA
| | - Jennifer Smith
- Institute for Social Research, Survey Research Center, University of Michigan, Ann Arbor, MI, 48104, USA
- School of Public Health, Epidemiology, University of Michigan, Ann Arbor, MI, 48109, USA
| | - Thorkild I A Sørensen
- Novo Nordisk Foundation Center for Basic Metabolic Research, Section of Metabolic Genetics, and Department of Public Health, Section of Epidemiology, Faculty of Health and Medical Sciences, University of Copenhagen, 2200, Copenhagen N, Denmark
- MRC Integrative Epidemiology Unit, Bristol University, BS8 2BN, Bristol, UK
| | - Kent D Taylor
- Institute for Translational Genomics and Population Sciences, Los Angeles Biomedical Research Institute at Harbor-UCLA Medical Center, Torrance, CA, 90502, USA
- Department of Pediatrics, Harbor-UCLA Medical Center, Torrance, CA, 90502, USA
| | - André G Uitterlinden
- Department of Epidemiology, Erasmus MC, 3000 CA, Rotterdam, The Netherlands
- Department of Internal Medicine, Erasmus MC, 3000 CA, Rotterdam, The Netherlands
| | - Wiesje van der Flier
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, 1007 MB, Amsterdam, The Netherlands
- Department of Epidemiology and Biostatistics, Vrije Universiteit Amsterdam, Amsterdam UMC, 1007 MB, Amsterdam, The Netherlands
| | - Sven J van der Lee
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, 1007 MB, Amsterdam, The Netherlands
- Department of Clinical Genetics, Amsterdam UMC, 1007 MB, Amsterdam, The Netherlands
| | - Cornelia M van Duijn
- Department of Epidemiology, Erasmus MC, 3000 CA, Rotterdam, The Netherlands
- Nuffield Department of Population Health, University of Oxford, Oxford, OX3 7LF, UK
| | - Diana van Heemst
- Department of Gerontology and Geriatrics, Leiden University Medical Center, 2300 RC, Leiden, The Netherlands
| | - James W Vaupel
- Max Planck Institute for Demographic Research, 18057, Rostock, Germany
| | - David Weir
- Institute for Social Research, Survey Research Center, University of Michigan, Ann Arbor, MI, 48104, USA
| | - Kenny Ye
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, 10461, USA
| | - Yi Zeng
- Center for Healthy Aging and Development Studies, National School of Development and Raissun Institute for Advanced Studies, Peking University, 100871, Beijing, China
- Center for the Study of Aging and Human Development and Geriatrics Division, Medical School of Duke University, Durham, NC, 27710, USA
| | - Wanlin Zheng
- California Pacific Medical Center Research Institute, San Francisco, CA, 94158, USA
| | - Henne Holstege
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, 1007 MB, Amsterdam, The Netherlands
- Department of Clinical Genetics, Amsterdam UMC, 1007 MB, Amsterdam, The Netherlands
- Delft Bioinformatics Lab, Delft University of Technology, 2600 GA, Delft, The Netherlands
| | - Douglas P Kiel
- Hinda and Arthur Marcus Institute for Aging Research, Hebrew SeniorLife, Boston, MA, 02131, USA
- Department of Medicine, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA, 02215, USA
- Broad Institute of MIT & Harvard, Cambridge, MA, 02142, USA
| | - Kathryn L Lunetta
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, 02118, USA
| | - P Eline Slagboom
- Molecular Epidemiology, Department of Biomedical Data Sciences, Leiden University Medical Center, 2300 RC, Leiden, The Netherlands.
| | - Joanne M Murabito
- NHLBI's and Boston University's Framingham Heart Study, Framingham, MA, 01702, USA.
- Section of General Internal Medicine, Department of Medicine, Boston University School of Medicine, Boston, MA, 02118, USA.
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