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Goyne CE, Fair AE, Sumowski PE, Graves JS. The Impact of Aging on Multiple Sclerosis. Curr Neurol Neurosci Rep 2024; 24:83-93. [PMID: 38416310 DOI: 10.1007/s11910-024-01333-2] [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] [Accepted: 01/17/2024] [Indexed: 02/29/2024]
Abstract
PURPOSE OF REVIEW Multiple sclerosis (MS) is a chronic, immune-mediated demyelinating disorder of the central nervous system. Age is one of the most important factors in determining MS phenotype. This review provides an overview of how age influences MS clinical characteristics, pathology, and treatment. RECENT FINDINGS New methods for measuring aging have improved our understanding of the aging process in MS. New studies have characterized the molecular and cellular composition of chronic active or smoldering plaques in MS. These lesions are important contributors to disability progression in MS. These studies highlight the important role of immunosenescence and the innate immune system in sustaining chronic inflammation. Given these changes in immune function, several studies have assessed optimal treatment strategies in aging individuals with MS. MS phenotype is intimately linked with chronologic age and immunosenescence. While there are many unanswered questions, there has been much progress in understanding this relationship which may lead to more effective treatments for progressive disease.
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Affiliation(s)
- Christopher E Goyne
- Department of Neurosciences, University of California San Diego, 9452 Medical Center Drive, Ste 4W-222, La Jolla, San Diego, CA, 92037, USA
| | - Ashley E Fair
- Department of Neurosciences, University of California San Diego, 9452 Medical Center Drive, Ste 4W-222, La Jolla, San Diego, CA, 92037, USA
| | - Paige E Sumowski
- Department of Neurosciences, University of California San Diego, 9452 Medical Center Drive, Ste 4W-222, La Jolla, San Diego, CA, 92037, USA
| | - Jennifer S Graves
- Department of Neurosciences, University of California San Diego, 9452 Medical Center Drive, Ste 4W-222, La Jolla, San Diego, CA, 92037, USA.
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Vlasschaert C, Lanktree MB, Rauh MJ, Kelly TN, Natarajan P. Clonal haematopoiesis, ageing and kidney disease. Nat Rev Nephrol 2024; 20:161-174. [PMID: 37884787 PMCID: PMC10922936 DOI: 10.1038/s41581-023-00778-x] [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] [Accepted: 09/29/2023] [Indexed: 10/28/2023]
Abstract
Clonal haematopoiesis of indeterminate potential (CHIP) is a preclinical condition wherein a sizeable proportion of an individual's circulating blood cells are derived from a single mutated haematopoietic stem cell. CHIP occurs frequently with ageing - more than 10% of individuals over 65 years of age are affected - and is associated with an increased risk of disease across several organ systems and premature death. Emerging evidence suggests that CHIP has a role in kidney health, including associations with predisposition to acute kidney injury, impaired recovery from acute kidney injury and kidney function decline, both in the general population and among those with chronic kidney disease. Beyond its direct effect on the kidney, CHIP elevates the susceptibility of individuals to various conditions that can detrimentally affect the kidneys, including cardiovascular disease, obesity and insulin resistance, liver disease, gout, osteoporosis and certain autoimmune diseases. Aberrant pro-inflammatory signalling, telomere attrition and epigenetic ageing are potential causal pathophysiological pathways and mediators that underlie CHIP-related disease risk. Experimental animal models have shown that inhibition of inflammatory cytokine signalling can ameliorate many of the pathological effects of CHIP, and assessment of the efficacy and safety of this class of medications for human CHIP-associated pathology is ongoing.
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Affiliation(s)
| | - Matthew B Lanktree
- Department of Medicine and Department of Health Research Methods, Evidence and Impact, McMaster University, Hamilton, Ontario, Canada
- St. Joseph's Healthcare Hamilton, Hamilton, Ontario, Canada
- Population Health Research Institute, Hamilton, Ontario, Canada
| | - Michael J Rauh
- Department of Pathology and Molecular Medicine, Kingston, Ontario, Canada
| | - Tanika N Kelly
- Division of Nephrology, Department of Medicine, College of Medicine, University of Illinois at Chicago, Chicago, IL, USA
| | - Pradeep Natarajan
- Cardiovascular Research Center and Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA.
- Program in Medical and Population Genetics and Cardiovascular Disease Initiative, Broad Institute of Harvard and MIT, Cambridge, MA, USA.
- Department of Medicine, Harvard Medical School, Boston, MA, USA.
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Persistent organic pollutant exposure contributes to Black/White differences in leukocyte telomere length in the National Health and Nutrition Examination Survey. Sci Rep 2022; 12:19960. [PMID: 36402910 PMCID: PMC9675834 DOI: 10.1038/s41598-022-24316-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2022] [Accepted: 11/14/2022] [Indexed: 11/21/2022] Open
Abstract
Despite racial disparities in diseases of aging and premature mortality, non-Hispanic Black Americans tend to have longer leukocyte telomere length (LTL), a biomarker of cellular aging, than non-Hispanic White Americans. Previous findings suggest that exposure to certain persistent organic pollutants (POPs) is both racially-patterned and associated with longer LTL. We examine whether Black/White differences in LTL are explained by differences in exposure to 15 POPs by estimating the indirect effect (IE) of self-reported race on LTL that is mediated through nine polychlorinated biphenyls (PCBs), three furans, and three dioxins, as well as their mixtures. Our study population includes 1,251 adults from the 1999-2000 and 2001-2002 cycles of the cross-sectional National Health and Nutrition Examination Survey. We characterized single-pollutant mediation effects by constructing survey-weighted linear regression models. We also implemented various approaches to quantify a global mediation effect of all POPs, including unpenalized linear regression, ridge regression, and examination of three summary exposure scores. We found support for the hypothesis that exposure to PCBs partially mediates Black/White differences in LTL. In single-pollutant models, there were significant IEs of race on LTL through six individual PCBs (118, 138, 153, 170, 180, and 187). Ridge regression (0.013, CI 0.001, 0.023; 26.0% mediated) and models examining summative exposure scores with linear combinations derived from principal components analysis (0.019, CI 0.009, 0.029; 34.8% mediated) and Toxic Equivalency Quotient (TEQ) scores (0.016, CI 0.005, 0.026; 28.8% mediated) showed significant IEs when incorporating survey weights. Exposures to individual POPs and their mixtures, which may arise from residential and occupational segregation, may help explain why Black Americans have longer LTL than their White counterparts, providing an environmental explanation for counterintuitive race differences in cellular aging.
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Rai S, Badarinath ARS, George A, Sitaraman S, Bronson SC, Anandt S, Babu KT, Moses A, Saraswathy R, Hande MP. Association of telomere length with diabetes mellitus and idiopathic dilated cardiomyopathy in a South Indian population: A pilot study. MUTATION RESEARCH. GENETIC TOXICOLOGY AND ENVIRONMENTAL MUTAGENESIS 2022; 874-875:503439. [PMID: 35151422 DOI: 10.1016/j.mrgentox.2021.503439] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/09/2021] [Revised: 12/24/2021] [Accepted: 12/29/2021] [Indexed: 06/14/2023]
Abstract
Telomere shortening has been associated with ageing and with many age-related diseases including cancer, coronary artery disease, heart failure and diabetes. We sought to investigate the link between telomere shortening and age-related diseases like type 2 diabetes mellitus (DM) (without any complications: DM; with neuropathic complication: DN) and idiopathic dilated cardiomyopathy (IDCM) in south Indian population. We compared telomere lengths of blood lymphocytes taken from patients with associated age-related diseases, namely DM (n = 47), DN (n = 52) and IDCM (n = 34) and controls (n = 46). In addition, we evaluated the relationship between echocardiographic left ventricular ejection fraction (LVEF), left ventricular end diastolic and systolic diameters (LVEDd and LVESd) and telomere length in IDCM patients. Telomere length negatively correlated with age in the cohorts with diabetes and IDCM, and in controls. Average telomere length in diabetes and IDCM patients was significantly shorter than that of controls either before or after adjustments for age and sex. Duration of diabetes in patients with type 2 diabetes did not correlate with telomere length. No correlation was found between the length of telomeres and echocardiography parameters like LVEF, LVEDd and LVESd in IDCM patients. Though echocardiographic characteristics of IDCM did not correlate with telomere length, telomere shortening was found to be accelerated in diabetes (both DM and DN) and IDCM in a south Indian population. Neuropathic complication in diabetes had no effect on telomere shortening. While telomere shortening is a cause or a consequence of diabetic and cardiac pathology remains further investigation, the current study substantiates the usefulness of telomere length measurements as a marker in conjunction with other biochemical markers of age-related diseases.
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Affiliation(s)
- Shivam Rai
- School of Bio Sciences and Technology, Vellore Institute of Technology, Vellore, Tamil Nadu, India; Department of Physiology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - A R S Badarinath
- School of Bio Sciences and Technology, Vellore Institute of Technology, Vellore, Tamil Nadu, India
| | - Alex George
- School of Bio Sciences and Technology, Vellore Institute of Technology, Vellore, Tamil Nadu, India; Jubilee Centre for Medical Research, Jubilee Mission Medical College and Research Institute, Thrissur, Kerala, India
| | - Sneha Sitaraman
- School of Bio Sciences and Technology, Vellore Institute of Technology, Vellore, Tamil Nadu, India
| | - Stephen Charles Bronson
- Institute of Diabetology, Madras Medical College & Rajiv Gandhi Government General Hospital, Chennai, Tamil Nadu, India
| | | | - K Thirumal Babu
- Heartline Clinic and Research Centre, Vellore, Tamil Nadu, India
| | - Anand Moses
- Institute of Diabetology, Madras Medical College & Rajiv Gandhi Government General Hospital, Chennai, Tamil Nadu, India
| | - Radha Saraswathy
- School of Bio Sciences and Technology, Vellore Institute of Technology, Vellore, Tamil Nadu, India.
| | - M Prakash Hande
- School of Bio Sciences and Technology, Vellore Institute of Technology, Vellore, Tamil Nadu, India; Department of Physiology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore.
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Telomeres and replicative cellular aging of the human placenta and chorioamniotic membranes. Sci Rep 2021; 11:5115. [PMID: 33664422 PMCID: PMC7933277 DOI: 10.1038/s41598-021-84728-2] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2020] [Accepted: 02/16/2021] [Indexed: 01/25/2023] Open
Abstract
Recent hypotheses propose that the human placenta and chorioamniotic membranes (CAMs) experience telomere length (TL)-mediated senescence. These hypotheses are based on mean TL (mTL) measurements, but replicative senescence is triggered by short and dysfunctional telomeres, not mTL. We measured short telomeres by a vanguard method, the Telomere shortest length assay, and telomere-dysfunction-induced DNA damage foci (TIF) in placentas and CAMs between 18-week gestation and at full-term. Both the placenta and CAMs showed a buildup of short telomeres and TIFs, but not shortening of mTL from 18-weeks to full-term. In the placenta, TIFs correlated with short telomeres but not mTL. CAMs of preterm birth pregnancies with intra-amniotic infection showed shorter mTL and increased proportions of short telomeres. We conclude that the placenta and probably the CAMs undergo TL-mediated replicative aging. Further research is warranted whether TL-mediated replicative aging plays a role in all preterm births.
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Atkinson EG, Maihofer AX, Kanai M, Martin AR, Karczewski KJ, Santoro ML, Ulirsch JC, Kamatani Y, Okada Y, Finucane HK, Koenen KC, Nievergelt CM, Daly MJ, Neale BM. Tractor uses local ancestry to enable the inclusion of admixed individuals in GWAS and to boost power. Nat Genet 2021; 53:195-204. [PMID: 33462486 PMCID: PMC7867648 DOI: 10.1038/s41588-020-00766-y] [Citation(s) in RCA: 104] [Impact Index Per Article: 34.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2020] [Accepted: 12/15/2020] [Indexed: 12/26/2022]
Abstract
Admixed populations are routinely excluded from genomic studies due to concerns over population structure. Here, we present a statistical framework and software package, Tractor, to facilitate the inclusion of admixed individuals in association studies by leveraging local ancestry. We test Tractor with simulated and empirical two-way admixed African-European cohorts. Tractor generates accurate ancestry-specific effect-size estimates and P values, can boost genome-wide association study (GWAS) power and improves the resolution of association signals. Using a local ancestry-aware regression model, we replicate known hits for blood lipids, discover novel hits missed by standard GWAS and localize signals closer to putative causal variants.
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Affiliation(s)
- Elizabeth G Atkinson
- Analytic and Translational Genetics Unit, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA.
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
| | - Adam X Maihofer
- Department of Psychiatry, University of California, San Diego, La Jolla, CA, USA
| | - Masahiro Kanai
- Analytic and Translational Genetics Unit, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Program in Bioinformatics and Integrative Genomics, Harvard Medical School, Boston, MA, USA
- Department of Statistical Genetics, Graduate School of Medicine, Osaka University, Suita, Japan
| | - Alicia R Martin
- Analytic and Translational Genetics Unit, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Konrad J Karczewski
- Analytic and Translational Genetics Unit, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Marcos L Santoro
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Departamento de Psiquiatria, Universidade Federal de São Paulo, São Paulo, Brazil
- Departamento de Morfologia e Genética, Universidade Federal de São Paulo, São Paulo, Brazil
| | - Jacob C Ulirsch
- Analytic and Translational Genetics Unit, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Program in Biological and Biomedical Sciences, Harvard Medical School, Boston, MA, USA
| | - Yoichiro Kamatani
- Laboratory of Complex Trait Genomics, Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of Tokyo, Tokyo, Japan
| | - Yukinori Okada
- Department of Statistical Genetics, Graduate School of Medicine, Osaka University, Suita, Japan
- Laboratory of Statistical Immunology, Immunology Frontier Research Center (WPI-IFReC), Osaka University, Suita, Japan
- Integrated Frontier Research for Medical Science Division, Institute for Open and Transdisciplinary Research Initiatives, Osaka University, Suita, Japan
| | - Hilary K Finucane
- Analytic and Translational Genetics Unit, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Karestan C Koenen
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | | | - Mark J Daly
- Analytic and Translational Genetics Unit, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Institute for Molecular Medicine Finland, University of Helsinki, Helsinki, Finland
| | - Benjamin M Neale
- Analytic and Translational Genetics Unit, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA
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Hunt SC, Hansen MEB, Verhulst S, McQuillan MA, Beggs W, Lai TP, Mokone GG, Mpoloka SW, Meskel DW, Belay G, Nyambo TB, Abnet CC, Yeager M, Chanock SJ, Province MA, Williams SM, Aviv A, Tishkoff SA. Genetics and geography of leukocyte telomere length in sub-Saharan Africans. Hum Mol Genet 2020; 29:3014-3020. [PMID: 32821950 PMCID: PMC7645709 DOI: 10.1093/hmg/ddaa187] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2020] [Revised: 07/09/2020] [Accepted: 08/15/2020] [Indexed: 01/10/2023] Open
Abstract
Leukocyte telomere length (LTL) might be causal in cardiovascular disease and major cancers. To elucidate the roles of genetics and geography in LTL variability across humans, we compared LTL measured in 1295 sub-Saharan Africans (SSAs) with 559 African-Americans (AAms) and 2464 European-Americans (EAms). LTL differed significantly across SSAs (P = 0.003), with the San from Botswana (with the oldest genomic ancestry) having the longest LTL and populations from Ethiopia having the shortest LTL. SSAs had significantly longer LTL than AAms [P = 6.5(e-16)] whose LTL was significantly longer than EAms [P = 2.5(e-7)]. Genetic variation in SSAs explained 52% of LTL variance versus 27% in AAms and 34% in EAms. Adjustment for genetic variation removed the LTL differences among SSAs. LTL genetic variation among SSAs, with the longest LTL in the San, supports the hypothesis that longer LTL was ancestral in humans. Identifying factors driving LTL variation in Africa may have important ramifications for LTL-associated diseases.
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Affiliation(s)
- Steven C Hunt
- Department of Genetic Medicine, Weill Cornell Medicine, Doha, Qatar
| | - Matthew E B Hansen
- Department of Genetics, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Simon Verhulst
- Groningen Institute for Evolutionary Life Sciences, University of Groningen, Groningen, The Netherlands
| | - Michael A McQuillan
- Department of Genetics, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - William Beggs
- Department of Genetics, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Tsung-Po Lai
- Center of Human Development and Aging, New Jersey Medical School, Rutgers, The State University of New Jersey, Newark, NJ, 07103, USA
| | - Gaonyadiwe G Mokone
- Faculty of Medicine, Department of Biomedical Sciences, University of Botswana, Gaborone, Botswana
| | | | | | - Gurja Belay
- Department of Biology, Addis Ababa University, Addis Ababa, Ethiopia
| | - Thomas B Nyambo
- Department of Biochemistry, Kampala International University, Tanzania
| | - Christian C Abnet
- Cancer Genomics Research Laboratory, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, 20892,USA
| | - Meredith Yeager
- Cancer Genomics Research Laboratory, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, 20892,USA
| | - Stephen J Chanock
- Cancer Genomics Research Laboratory, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, 20892,USA
| | - Michael A Province
- Center for Genome Sciences and Systems Biology, Washington University School of Medicine, St. Louis, MO, 63108, USA
| | - Scott M Williams
- Department of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, OH, 44106, USA
| | - Abraham Aviv
- Center of Human Development and Aging, New Jersey Medical School, Rutgers, The State University of New Jersey, Newark, NJ, 07103, USA
| | - Sarah A Tishkoff
- Department of Genetics, University of Pennsylvania, Philadelphia, PA, 19104, USA.,Department of Biology, University of Pennsylvania, Philadelphia, PA, 19104, USA
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Regnault V, Challande P, Pinet F, Li Z, Lacolley P. Cell senescence: basic mechanisms and the need for computational networks in vascular ageing. Cardiovasc Res 2020; 117:1841-1858. [PMID: 33206947 DOI: 10.1093/cvr/cvaa318] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/01/2020] [Revised: 08/26/2020] [Accepted: 10/28/2020] [Indexed: 01/10/2023] Open
Abstract
This review seeks to provide an update of the mechanisms of vascular cell senescence, from newly identified molecules to arterial ageing phenotypes, and finally to present a computational approach to connect these selected proteins in biological networks. We will discuss current key signalling and gene expression pathways by which these focus proteins and networks drive normal and accelerated vascular ageing. We also review the possibility that senolytic drugs, designed to restore normal cell differentiation and function, could effectively treat multiple age-related vascular diseases. Finally, we discuss how cell senescence is both a cause and a consequence of vascular ageing because of the possible feedback controls between identified networks.
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Affiliation(s)
- Véronique Regnault
- Université de Lorraine, INSERM, DCAC, 9 avenue de la forêt de Haye, CS 50184, 54000 Nancy, France
| | - Pascal Challande
- Sorbonne Université, CNRS, Institut Jean Le Rond d'Alembert, 4 place Jussieu, 75005 Paris, France
| | - Florence Pinet
- Univ. Lille, CHU Lille, Inserm, Institut Pasteur de Lille, U1167-RID-AGE-Facteurs de risque et déterminants moléculaires des maladies liées au vieillissement, F-59000 Lille, France
| | - Zhenlin Li
- Sorbonne Université, CNRS, INSERM, IBPS, Biological Adaptation and Aging, Paris, France
| | - Patrick Lacolley
- Université de Lorraine, INSERM, DCAC, 9 avenue de la forêt de Haye, CS 50184, 54000 Nancy, France
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Huang YQ, Liu L, Lo K, Huang JY, Zhang B, Feng YQ. The relationship between mean telomere length and blood pressure: results from the National Health and Nutrition Examination Surveys. ANNALS OF TRANSLATIONAL MEDICINE 2020; 8:535. [PMID: 32411758 PMCID: PMC7214907 DOI: 10.21037/atm.2020.03.205] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Background Recent studies have shown that telomere length has significantly relationship with different age-related diseases. However, the relationship between mean telomere length (MTL) and elevated blood pressure (BP) has been unclear. Therefore, the aim of the recent study was tried to explore the association of MLT with BP. Methods There were 5,981 subjects from the National Health and Nutrition Examination Surveys (NHANES, 1999–2002) was included in analysis. The MTL was measured using the quantitative polymerase chain reaction (PCR) method and expressed in telomere-to-single copy gene (T/S) ratio and grouped into quartiles. Multivariate linear [expressed in beta and 95% confidence interval (CI)], logistic regression [odds ratios (ORs) and 95% CI] analyses and smooth curve fitting were performed to evaluate the relationship between MTL, BPs and the likelihood of hypertension. Results The mean age of the participants was 45.2±17.3 years, including 2,923 (48.9%) males. After adjusting for potential confounders, MLT was significantly related to the prevalence of hypertension (OR: 0.12, 95% CI: 0.02, 0.94; P=0.04). Smooth curve fitting found a non-linear relationship between MTL, the levels of systolic and diastolic blood pressure (SBP/DBP) and the prevalence of hypertension. The inflection points for the smooth curve of MLT were at 0.86, 1.02 and 0.80 (T/S ratio) respectively. The betas (95% CIs) for SBP [–12.58 (–20.07, –5.09), P<0.01 and 2.25 (0.07, 4.43), P=0.04] and DBP [4.88 (1.29, 8.47), P<0.01 and –3.30 (–5.54, –1.06), P<0.01], and ORs (95% CIs) for the prevalence of hypertension [0.02 (0.001, 9.71), P=0.15 and 0.26 (0.026, 2.60), P=0.25] on the left and right of the inflection point, respectively. Conclusions Our findings revealed that MTL was related with SBP, DBP and the odds of hypertension in a non-linear manner.
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Affiliation(s)
- Yu-Qing Huang
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Academy of Medical Sciences, School of Medicine, South China University of Technology, Guangzhou 510080, China
| | - Lin Liu
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Academy of Medical Sciences, School of Medicine, South China University of Technology, Guangzhou 510080, China
| | - Kenneth Lo
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Academy of Medical Sciences, School of Medicine, South China University of Technology, Guangzhou 510080, China.,Center for Global Cardiometabolic Health, Department of Epidemiology, Brown University, Providence, RI, USA
| | - Jia-Yi Huang
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Academy of Medical Sciences, School of Medicine, South China University of Technology, Guangzhou 510080, China
| | - Bin Zhang
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Academy of Medical Sciences, School of Medicine, South China University of Technology, Guangzhou 510080, China
| | - Ying-Qing Feng
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Academy of Medical Sciences, School of Medicine, South China University of Technology, Guangzhou 510080, China
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Needham BL, Salerno S, Roberts E, Boss J, Allgood KL, Mukherjee B. Do black/white differences in telomere length depend on socioeconomic status? BIODEMOGRAPHY AND SOCIAL BIOLOGY 2019; 65:287-312. [PMID: 33243026 PMCID: PMC7703670 DOI: 10.1080/19485565.2020.1765734] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/18/2023]
Abstract
Social and economic disadvantage are hypothesized to increase the risk of disease and death via accelerated biological aging. Given that US blacks are socially and economically disadvantaged relative to whites, health disparities scholars expected that blacks would have shorter telomere length-a biomarker of cell aging-than whites. Yet the majority of studies have found that blacks have longer telomere length than whites. Using data from the National Health and Nutrition Examination Survey (n = 3,761; 28.3% non-Hispanic black, 71.7% non-Hispanic white), we found that leukocyte telomere length was 4.00% (95% CI: 1.12%, 6.87%) longer among blacks compared to whites in the full sample, but differences were greatest among those with lower SES (5.66%; 95% CI: 0.10%, 10.32%), intermediate among those with middle SES (4.14%; 95% CI: 0.05%, 8.24%), and smallest among those with higher SES (2.33%; 95% CI: -3.02%, 7.67%). These results challenge purely genetic explanations for race differences in telomere length and point to a potential social-environmental cause of longer telomere length in US blacks.
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Affiliation(s)
- Belinda L. Needham
- Department of Epidemiology and Center for Social Epidemiology and Population Health, University of Michigan
| | | | | | | | - Kristi L. Allgood
- Department of Epidemiology and Center for Social Epidemiology and Population Health, University of Michigan
| | - Bhramar Mukherjee
- Department of Biostatistics, Department of Epidemiology, University of Michigan
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Marie PY, Visvikis-Siest S. Do we need diagnostic strategies enhanced with genetic information for ischemic heart disease? J Nucl Cardiol 2019; 26:1309-1312. [PMID: 29511928 DOI: 10.1007/s12350-018-1240-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2018] [Accepted: 02/12/2018] [Indexed: 12/24/2022]
Affiliation(s)
- Pierre-Yves Marie
- Nuclear Medicine & Nancyclotep Experimental Platform, CHRU-Nancy, Université de Lorraine, 54000, Nancy, France.
- INSERM, UMR-1116, Université de Lorraine, 54000, Nancy, France.
| | - Sophie Visvikis-Siest
- INSERM, UMR-1122, Université de Lorraine, 54000, Nancy, France
- Department of Internal Medicine and Geriatrics, CHRU-Nancy, Université de Lorraine, 54511, Nancy, France
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Huang Y, Dai W, Li Y. Potential associations of testosterone/estradiol ratio, leukocyte hTERT expression and PBMC telomerase activity with aging and the presence of coronary artery disease in men. Exp Gerontol 2019; 117:38-44. [DOI: 10.1016/j.exger.2018.08.008] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2018] [Revised: 08/29/2018] [Accepted: 08/30/2018] [Indexed: 12/26/2022]
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Aviv A, Shay JW. Reflections on telomere dynamics and ageing-related diseases in humans. Philos Trans R Soc Lond B Biol Sci 2019; 373:rstb.2016.0436. [PMID: 29335375 PMCID: PMC5784057 DOI: 10.1098/rstb.2016.0436] [Citation(s) in RCA: 109] [Impact Index Per Article: 21.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/21/2017] [Indexed: 12/24/2022] Open
Abstract
Epidemiological studies have principally relied on measurements of telomere length (TL) in leucocytes, which reflects TL in other somatic cells. Leucocyte TL (LTL) displays vast variation across individuals—a phenomenon already observed in newborns. It is highly heritable, longer in females than males and in individuals of African ancestry than European ancestry. LTL is also longer in offspring conceived by older men. The traditional view regards LTL as a passive biomarker of human ageing. However, new evidence suggests that a dynamic interplay between selective evolutionary forces and TL might result in trade-offs for specific health outcomes. From a biological perspective, an active role of TL in ageing-related human diseases could occur because short telomeres increase the risk of a category of diseases related to restricted cell proliferation and tissue degeneration, including cardiovascular disease, whereas long telomeres increase the risk of another category of diseases related to increased proliferative growth, including major cancers. To understand the role of telomere biology in ageing-related diseases, it is essential to expand telomere research to newborns and children and seek further insight into the underlying causes of the variation in TL due to ancestry and geographical location. This article is part of the theme issue ‘Understanding diversity in telomere dynamics’.
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Affiliation(s)
- Abraham Aviv
- The Center of Human Development and Aging, Rutgers, The State University of New Jersey, New Jersey Medical School, Newark, NJ 07103, USA
| | - Jerry W Shay
- Department of Cell Biology, UT Southwestern Medical Center, Dallas, TX 75390, USA.,Center of Excellence in Genomic Medicine Research, King Abdulaziz University, Jeddah, Kingdom of Saudi Arabia
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