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Zhang W, Huang Q, Kang Y, Li H, Tan G. Which Factors Influence Healthy Aging? A Lesson from the Longevity Village of Bama in China. Aging Dis 2023; 14:825-839. [PMID: 37191421 PMCID: PMC10187713 DOI: 10.14336/ad.2022.1108] [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: 09/29/2022] [Accepted: 11/08/2022] [Indexed: 11/18/2022] Open
Abstract
A growing aging population is associated with increasing incidences of aging-related diseases and socioeconomic burdens. Hence, research into healthy longevity and aging is urgently needed. Longevity is an important phenomenon in healthy aging. The present review summarizes the characteristics of longevity in the elderly population in Bama, China, where the proportion of centenarians is 5.7-fold greater than the international standard. We examined the impact of genetic and environmental factors on longevity from multiple perspectives. We proposed that the phenomenon of longevity in this region is of high value for future investigations in healthy aging and aging-related disease and may provide guidance for fostering the establishment and maintenance of a healthy aging society.
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Affiliation(s)
- Wei Zhang
- Department of Human Anatomy, Institute of Neuroscience and Guangxi Key Laboratory of Brain Science, Guangxi Health Commission Key Laboratory of Basic Research on Brain Function and Disease, School of Basic Medical Sciences, Guangxi Medical University, Nanning, Guangxi, China.
- Key Laboratory of Longevity and Aging-related Diseases of Chinese Ministry of Education, Nanning, Guangxi, China.
- China-ASEAN Research Center for Innovation and Development in Brain Science, Nanning, Guangxi, China.
| | - Qingyun Huang
- Department of Human Anatomy, Institute of Neuroscience and Guangxi Key Laboratory of Brain Science, Guangxi Health Commission Key Laboratory of Basic Research on Brain Function and Disease, School of Basic Medical Sciences, Guangxi Medical University, Nanning, Guangxi, China.
- Key Laboratory of Longevity and Aging-related Diseases of Chinese Ministry of Education, Nanning, Guangxi, China.
- China-ASEAN Research Center for Innovation and Development in Brain Science, Nanning, Guangxi, China.
| | - Yongxin Kang
- Department of Human Anatomy, Institute of Neuroscience and Guangxi Key Laboratory of Brain Science, Guangxi Health Commission Key Laboratory of Basic Research on Brain Function and Disease, School of Basic Medical Sciences, Guangxi Medical University, Nanning, Guangxi, China.
- Collaborative Innovation Centre of Regenerative Medicine and Medical BioResource Development and Application Co-constructed by the Province and Ministry, Guangxi Key Laboratory of Regenerative Medicine, Nanning, Guangxi, China.
- China-ASEAN Research Center for Innovation and Development in Brain Science, Nanning, Guangxi, China.
| | - Hao Li
- Department of Human Anatomy, Institute of Neuroscience and Guangxi Key Laboratory of Brain Science, Guangxi Health Commission Key Laboratory of Basic Research on Brain Function and Disease, School of Basic Medical Sciences, Guangxi Medical University, Nanning, Guangxi, China.
- Collaborative Innovation Centre of Regenerative Medicine and Medical BioResource Development and Application Co-constructed by the Province and Ministry, Guangxi Key Laboratory of Regenerative Medicine, Nanning, Guangxi, China.
- China-ASEAN Research Center for Innovation and Development in Brain Science, Nanning, Guangxi, China.
| | - Guohe Tan
- Department of Human Anatomy, Institute of Neuroscience and Guangxi Key Laboratory of Brain Science, Guangxi Health Commission Key Laboratory of Basic Research on Brain Function and Disease, School of Basic Medical Sciences, Guangxi Medical University, Nanning, Guangxi, China.
- Key Laboratory of Longevity and Aging-related Diseases of Chinese Ministry of Education, Nanning, Guangxi, China.
- Collaborative Innovation Centre of Regenerative Medicine and Medical BioResource Development and Application Co-constructed by the Province and Ministry, Guangxi Key Laboratory of Regenerative Medicine, Nanning, Guangxi, China.
- China-ASEAN Research Center for Innovation and Development in Brain Science, Nanning, Guangxi, China.
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Basavaraju P, Balasubramani R, Kathiresan DS, Devaraj I, Babu K, Alagarsamy V, Puthamohan VM. Genetic Regulatory Networks of Apolipoproteins and Associated Medical Risks. Front Cardiovasc Med 2022; 8:788852. [PMID: 35071357 PMCID: PMC8770923 DOI: 10.3389/fcvm.2021.788852] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2021] [Accepted: 11/22/2021] [Indexed: 12/22/2022] Open
Abstract
Apolipoproteins (APO proteins) are the lipoprotein family proteins that play key roles in transporting lipoproteins all over the body. There are nearly more than twenty members reported in the APO protein family, among which the A, B, C, E, and L play major roles in contributing genetic risks to several disorders. Among these genetic risks, the single nucleotide polymorphisms (SNPs), involving the variation of single nucleotide base pairs, and their contributing polymorphisms play crucial roles in the apolipoprotein family and its concordant disease heterogeneity that have predominantly recurred through the years. In this review, we have contributed a handful of information on such genetic polymorphisms that include APOE, ApoA1/B ratio, and A1/C3/A4/A5 gene cluster-based population genetic studies carried throughout the world, to elaborately discuss the effects of various genetic polymorphisms in imparting various medical conditions, such as obesity, cardiovascular, stroke, Alzheimer's disease, diabetes, vascular complications, and other associated risks.
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Affiliation(s)
- Preethi Basavaraju
- Biomaterials and Nano-Medicine Laboratory, Department of Human Genetics and Molecular Biology, Bharathiar University, Coimbatore, India
| | - Rubadevi Balasubramani
- Biomaterials and Nano-Medicine Laboratory, Department of Human Genetics and Molecular Biology, Bharathiar University, Coimbatore, India
| | - Divya Sri Kathiresan
- Biomaterials and Nano-Medicine Laboratory, Department of Human Genetics and Molecular Biology, Bharathiar University, Coimbatore, India
| | - Ilakkiyapavai Devaraj
- Biomaterials and Nano-Medicine Laboratory, Department of Human Genetics and Molecular Biology, Bharathiar University, Coimbatore, India
| | - Kavipriya Babu
- Biomaterials and Nano-Medicine Laboratory, Department of Human Genetics and Molecular Biology, Bharathiar University, Coimbatore, India
| | - Vasanthakumar Alagarsamy
- Biomaterials and Nano-Medicine Laboratory, Department of Human Genetics and Molecular Biology, Bharathiar University, Coimbatore, India
| | - Vinayaga Moorthi Puthamohan
- Department of Human Genetics and Molecular Biology, Bharathiar University, Coimbatore, India
- *Correspondence: Vinayaga Moorthi Puthamohan
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Guest PC. New Therapeutic Approaches and Biomarkers for Increased Healthspan. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2021; 1286:1-13. [PMID: 33725342 DOI: 10.1007/978-3-030-55035-6_1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
Abstract
Healthcare costs have increased in developing countries over the last few decades, mostly due to the escalation in average life expectancy and the concomitant increase in age-related disorders. To address this issue, widespread research is now being undertaken across the globe with the aim of finding a way of increasing healthy aging. A number of potential interventions have already shown promise, including lifestyle changes and the use of natural products or pharmaceuticals that may delay the onset of diseases associated with the aging process. In parallel, a number of potential biomarkers have already been identified that can be used for assessing risk of developing age-associated disorders and for monitoring response to therapeutic interventions. This review describes the most recent advances towards the goal of achieving healthier aging with fewer disabilities that may lead to enhanced quality of life and reduced healthcare costs around the world.
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Affiliation(s)
- Paul C Guest
- Laboratory of Neuroproteomics, Department of Biochemistry and Tissue Biology, Institute of Biology, University of Campinas (UNICAMP), Campinas, Brazil.
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Hussain S, Dwivedi KL, Yadav SS, Usman K, Nath R, Khattri S. No Association Between a Genetic Variant of FOXO3 and Risk of Type 2 Diabetes Mellitus in the Elderly Population of North India. Indian J Clin Biochem 2020; 36:330-336. [PMID: 34220008 DOI: 10.1007/s12291-020-00917-2] [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] [Received: 04/05/2020] [Accepted: 08/03/2020] [Indexed: 12/19/2022]
Abstract
Aging can be considered an evolutionary process that is modulated by various genetic and biochemical processes. Therefore the genetic variants may interplay a role in human longevity as well as age related illness. Forkhead Box O (FOXO) gene is one of the major defensive genes that are known for ameliorating lifespan. FOXO proteins act as nuclear transcription factors that facilitate the action of insulin or insulin-like growth factor (IGF-1) in various physiological processes. The rationale of our study is to find out association between genetic variant rs2253310 of FOXO3 and risk of Type 2 Diabetes Mellitus (T2DM) in elderly population. This case control study involved 172 age sex matched elderly subjects while patients were recruited as per IDF criteria. Clinical, biochemical, ELISA methods were employed for assesement of clinical samples while Taqman method was used for genotyping analysis. Our results revealed that there was no significant difference in genotypic and allelic frequencies for the tested SNP (p > 0.05) between elderly T2DM patients and controls. The SNP rs2253310 was not associated with risk of T2DM in any genetic model. Also no association was found among the studied group between FOXO3 variant and HOMA-IR, HOMA-B index and Fasting plasma glucose. Serum level of inflammatory markers like CRP and TNF-α was significantly higher in patients but its not associated with SNP rs2253310. Our study concluded that, this intronic longevity-associated variant rs2253310 in FOXO3 is not associated with type 2 diabetes in geriatric patients of northern India.
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Affiliation(s)
- Sartaj Hussain
- Department of Pharmacology and Therapeutics, King George's Medical University, Lucknow, 226003 India
| | - Kanak Lata Dwivedi
- Department of Pharmacology and Therapeutics, King George's Medical University, Lucknow, 226003 India
| | - Suraj Singh Yadav
- Department of Pharmacology and Therapeutics, King George's Medical University, Lucknow, 226003 India
| | - Kauser Usman
- Department of Medicine, King George's Medical University, Lucknow, 226003 India
| | - Rajendra Nath
- Department of Pharmacology and Therapeutics, King George's Medical University, Lucknow, 226003 India
| | - Sanjay Khattri
- Department of Pharmacology and Therapeutics, King George's Medical University, Lucknow, 226003 India
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Reiterer M, Schmidt-Kastner R, Milton SL. Methionine sulfoxide reductase (Msr) dysfunction in human brain disease. Free Radic Res 2019; 53:1144-1154. [PMID: 31775527 DOI: 10.1080/10715762.2019.1662899] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/09/2023]
Abstract
Extensive research has shown that oxidative stress is strongly associated with aging, senescence and several diseases, including neurodegenerative and psychiatric disorders. Oxidative stress is caused by the overproduction of reactive oxygen species (ROS) that can be counteracted by both enzymatic and nonenzymatic antioxidants. One of these antioxidant mechanisms is the widely studied methionine sulfoxide reductase system (Msr). Methionine is one of the most easily oxidized amino acids and Msr can reverse this oxidation and restore protein function, with MsrA and MsrB reducing different stereoisomers. This article focuses on experimental and genetic research performed on Msr and its link to brain diseases. Studies on several model systems as well as genome-wide association studies are compiled to highlight the role of MSRA in schizophrenia, Alzheimer's disease, and Parkinson's disease. Genetic variation of MSRA may also contribute to the risk of psychosis, personality traits, and metabolic factors.
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Affiliation(s)
- Melissa Reiterer
- Charles E. Schmidt College of Science, Florida Atlantic University, Boca Raton, FL, USA
| | | | - Sarah L Milton
- Charles E. Schmidt College of Science, Florida Atlantic University, Boca Raton, FL, USA
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Singh PP, Demmitt BA, Nath RD, Brunet A. The Genetics of Aging: A Vertebrate Perspective. Cell 2019; 177:200-220. [PMID: 30901541 PMCID: PMC7592626 DOI: 10.1016/j.cell.2019.02.038] [Citation(s) in RCA: 145] [Impact Index Per Article: 29.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/26/2018] [Revised: 02/21/2019] [Accepted: 02/22/2019] [Indexed: 02/07/2023]
Abstract
Aging negatively impacts vitality and health. Many genetic pathways that regulate aging were discovered in invertebrates. However, the genetics of aging is more complex in vertebrates because of their specialized systems. This Review discusses advances in the genetic regulation of aging in vertebrates from work in mice, humans, and organisms with exceptional lifespans. We highlight challenges for the future, including sex-dependent differences in lifespan and the interplay between genes and environment. We also discuss how the identification of reliable biomarkers of age and development of new vertebrate models can be leveraged for personalized interventions to counter aging and age-related diseases.
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Affiliation(s)
- Param Priya Singh
- Department of Genetics, Stanford University, Stanford, CA 94305, USA
| | | | - Ravi D Nath
- Department of Genetics, Stanford University, Stanford, CA 94305, USA
| | - Anne Brunet
- Department of Genetics, Stanford University, Stanford, CA 94305, USA; Glenn Laboratories for the Biology of Aging, Stanford, CA 94305, USA.
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The Genetic Variability of APOE in Different Human Populations and Its Implications for Longevity. Genes (Basel) 2019; 10:genes10030222. [PMID: 30884759 PMCID: PMC6471373 DOI: 10.3390/genes10030222] [Citation(s) in RCA: 85] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2019] [Revised: 03/01/2019] [Accepted: 03/12/2019] [Indexed: 12/11/2022] Open
Abstract
Human longevity is a complex phenotype resulting from the combinations of context-dependent gene-environment interactions that require analysis as a dynamic process in a cohesive ecological and evolutionary framework. Genome-wide association (GWAS) and whole-genome sequencing (WGS) studies on centenarians pointed toward the inclusion of the apolipoprotein E (APOE) polymorphisms ε2 and ε4, as implicated in the attainment of extreme longevity, which refers to their effect in age-related Alzheimer's disease (AD) and cardiovascular disease (CVD). In this case, the available literature on APOE and its involvement in longevity is described according to an anthropological and population genetics perspective. This aims to highlight the evolutionary history of this gene, how its participation in several biological pathways relates to human longevity, and which evolutionary dynamics may have shaped the distribution of APOE haplotypes across the globe. Its potential adaptive role will be described along with implications for the study of longevity in different human groups. This review also presents an updated overview of the worldwide distribution of APOE alleles based on modern day data from public databases and ancient DNA samples retrieved from literature in the attempt to understand the spatial and temporal frame in which present-day patterns of APOE variation evolved.
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