1
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Iannarelli NJ, Wade TJ, Dempster KS, Moore J, MacNeil AJ, O'Leary DD. No Mediation Effect of Telomere Length or Mitochondrial DNA Copy Number on the Association Between Adverse Childhood Experiences (ACEs) and Central Arterial Stiffness. J Am Heart Assoc 2022; 11:e026619. [DOI: 10.1161/jaha.122.026619] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Background
Adverse childhood experiences (ACEs) have been linked to increased cardiovascular disease (CVD) risk. Previous reports have suggested that accelerated biological aging—indexed by telomere length (TL) and mitochondrial DNA copy number (mtDNAcn)—may contribute to associations between ACEs and cardiovascular health outcomes. Here, we examine the potential mediating effects of TL and mtDNAcn on the association between ACEs and central arterial stiffness—an intermediate cardiovascular health outcome—as a novel pathway linking ACEs to CVD risk among young adults.
Methods and Results
One hundred and eighty‐five (n=102 women; mean age, 22.5±1.5 years) individuals provided information on ACEs. TL (kb per diploid cell) and mtDNAcn (copies per diploid cell) were quantified using quantitative polymerase chain reaction techniques. Central arterial stiffness was measured as carotid‐femoral pulse wave velocity (cfPWV; m/s). Multiple linear regression analyses were used to examine the associations between ACEs, TL, mtDNAcn, and cfPWV. ACEs were positively associated with cfPWV (
β
=0.147,
P
=0.035). TL (
β
=−0.170,
P
=0.011) and mtDNAcn (
β
=−0.159,
P
=0.019) were inversely associated with cfPWV. Neither TL (
β
=−0.027,
P
=0.726) nor mtDNAcn (
β
=0.038,
P
=0.620) was associated with ACEs. Neither marker mediated the association between ACEs and cfPWV.
Conclusions
An increasing number of ACEs were associated with a faster cfPWV and thus, a greater degree of central arterial stiffness. ACEs were not associated with either TL or mtDNAcn, suggesting that these markers do not represent a mediating pathway linking ACEs to central arterial stiffness.
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Affiliation(s)
- Nathaniel J. Iannarelli
- Department of Health Sciences Faculty of Applied Health Sciences Brock University St. Catharines Ontario Canada
- Brock‐Niagara Centre for Health and Well‐Being Brock University St. Catharines Ontario Canada
| | - Terrance J. Wade
- Department of Health Sciences Faculty of Applied Health Sciences Brock University St. Catharines Ontario Canada
- Brock‐Niagara Centre for Health and Well‐Being Brock University St. Catharines Ontario Canada
| | - Kylie S. Dempster
- Department of Health Sciences Faculty of Applied Health Sciences Brock University St. Catharines Ontario Canada
- Brock‐Niagara Centre for Health and Well‐Being Brock University St. Catharines Ontario Canada
| | - Jessy Moore
- Department of Health Sciences Faculty of Applied Health Sciences Brock University St. Catharines Ontario Canada
| | - Adam J. MacNeil
- Department of Health Sciences Faculty of Applied Health Sciences Brock University St. Catharines Ontario Canada
| | - Deborah D. O'Leary
- Department of Health Sciences Faculty of Applied Health Sciences Brock University St. Catharines Ontario Canada
- Brock‐Niagara Centre for Health and Well‐Being Brock University St. Catharines Ontario Canada
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2
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Gkaliagkousi E, Lazaridis A, Dogan S, Fraenkel E, Tuna BG, Mozos I, Vukicevic M, Yalcin O, Gopcevic K. Theories and Molecular Basis of Vascular Aging: A Review of the Literature from VascAgeNet Group on Pathophysiological Mechanisms of Vascular Aging. Int J Mol Sci 2022; 23:ijms23158672. [PMID: 35955804 PMCID: PMC9368987 DOI: 10.3390/ijms23158672] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2022] [Revised: 07/25/2022] [Accepted: 07/29/2022] [Indexed: 11/29/2022] Open
Abstract
Vascular aging, characterized by structural and functional alterations of the vascular wall, is a hallmark of aging and is tightly related to the development of cardiovascular mortality and age-associated vascular pathologies. Over the last years, extensive and ongoing research has highlighted several sophisticated molecular mechanisms that are involved in the pathophysiology of vascular aging. A more thorough understanding of these mechanisms could help to provide a new insight into the complex biology of this non-reversible vascular process and direct future interventions to improve longevity. In this review, we discuss the role of the most important molecular pathways involved in vascular ageing including oxidative stress, vascular inflammation, extracellular matrix metalloproteinases activity, epigenetic regulation, telomere shortening, senescence and autophagy.
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Affiliation(s)
- Eugenia Gkaliagkousi
- 3rd Department of Internal Medicine, Papageorgiou Hospital, Faculty of Medicine, Aristotle University of Thessaloniki, 56429 Thessaloniki, Greece
- Correspondence: (E.G.); (K.G.)
| | - Antonios Lazaridis
- 3rd Department of Internal Medicine, Papageorgiou Hospital, Faculty of Medicine, Aristotle University of Thessaloniki, 56429 Thessaloniki, Greece
| | - Soner Dogan
- Department of Medical Biology, School of Medicine, Yeditepe University, 34755 Istanbul, Turkey
| | - Emil Fraenkel
- 1st Department of Internal Medicine, University Hospital, Pavol Jozef Šafárik University of Košice, Trieda SNP 1, 04066 Košice, Slovakia
| | - Bilge Guvenc Tuna
- Department of Biophysics, School of Medicine, Yeditepe University, 34755 Istanbul, Turkey
| | - Ioana Mozos
- Department of Functional Sciences-Pathophysiology, Center for Translational Research and Systems Medicine, “Victor Babes” University of Medicine and Pharmacy, 300173 Timisoara, Romania
| | - Milica Vukicevic
- Cardiac Surgery Clinic, Clinical Center of Serbia, 11000 Belgrade, Serbia
| | - Ozlem Yalcin
- Department of Physiology, School of Medicine, Koc University, 34450 Istanbul, Turkey
| | - Kristina Gopcevic
- Laboratory for Analytics of Biomolecules, Department of Chemistry in Medicine, Faculty of Medicine, 11000 Belgrade, Serbia
- Correspondence: (E.G.); (K.G.)
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3
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Wai KM, Kaori S, Itoh K, Shinya O, Uchikawa Y, Hayashi S, Shiraki A, Murashita K, Nakaji S, Ihara K. Telomere Length and Arterial Stiffness Reflected by Brachial-Ankle Pulse Wave Velocity: A Population-Based Cross-Sectional Study. J Pers Med 2021; 11:1278. [PMID: 34945752 PMCID: PMC8704522 DOI: 10.3390/jpm11121278] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2021] [Revised: 11/16/2021] [Accepted: 11/25/2021] [Indexed: 11/16/2022] Open
Abstract
Telomere (TL) is a biomarker of biological aging, and its shortening is associated with major risk factors for cardiovascular diseases (CVD). This study aimed to identify whether TL is associated with arterial stiffness as reflected by brachial-ankle pulse wave velocity (baPWV). This population-based cross-sectional study involved 1065 individuals in the Iwaki area, Japan. Total TL length and TL G-tail length were measured by hybridization protection assay. The baPWV was measured on the right and left sides using a non-invasive vascular screening device. The associations between TL and baPWV were assessed by multivariate linear regression. Compared with the shortest total TL tertile, the longest total TL group showed a significant decrease in baPWV (lowest vs. highest tertile: adjusted beta: -41.24, 95% confidence interval (CI): -76.81, -5.68). The mean baPWV decreased with a longer TL (TL G-tail length: p trend < 0.001, total TL: p trend < 0.001). TL G-tail and total TL lengths were inversely associated with baPWV, implicating TL shortening in the development of CVD. This study provides evidence of the factors influencing CVD risks at a very early stage when individuals can still take necessary precautions before CVD gives rise to a symptomatic health outcome.
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Affiliation(s)
- Kyi Mar Wai
- Department of Social Medicine, Graduate School of Medicine, Hirosaki University, Hirosaki 036-8562, Japan; (S.K.); (O.S.); (S.N.); (K.I.)
- Department of Human Ecology, Graduate School of Medicine, The University of Tokyo, Tokyo 113-0033, Japan
| | - Sawada Kaori
- Department of Social Medicine, Graduate School of Medicine, Hirosaki University, Hirosaki 036-8562, Japan; (S.K.); (O.S.); (S.N.); (K.I.)
| | - Ken Itoh
- Center of Advanced Medical Science, Department of Stress Response Science, Graduate School of Medicine, Hirosaki University, Hirosaki 036-8562, Japan;
- Department of Mibyo Science, Graduate School of Medicine, Hirosaki University, Hirosaki 036-8562, Japan
| | - Okuyama Shinya
- Department of Social Medicine, Graduate School of Medicine, Hirosaki University, Hirosaki 036-8562, Japan; (S.K.); (O.S.); (S.N.); (K.I.)
| | - Yuka Uchikawa
- Research and Development Division, MiRTeL Company Limited, Hiroshima 734-0001, Japan;
| | - Sakura Hayashi
- Business Development Division, MiRTeL Company Limited, Hiroshima 734-0001, Japan;
| | - Akiko Shiraki
- Inspection Division, MiRTeL Company Limited, Hiroshima 734-0001, Japan;
| | - Koichi Murashita
- Center of Innovation, Research Initiatives Organization, Hirosaki University, Hirosaki 036-8562, Japan;
| | - Shigeyuki Nakaji
- Department of Social Medicine, Graduate School of Medicine, Hirosaki University, Hirosaki 036-8562, Japan; (S.K.); (O.S.); (S.N.); (K.I.)
- Department of Mibyo Science, Graduate School of Medicine, Hirosaki University, Hirosaki 036-8562, Japan
- Center of Innovation, Research Initiatives Organization, Hirosaki University, Hirosaki 036-8562, Japan;
| | - Kazushige Ihara
- Department of Social Medicine, Graduate School of Medicine, Hirosaki University, Hirosaki 036-8562, Japan; (S.K.); (O.S.); (S.N.); (K.I.)
- Department of Mibyo Science, Graduate School of Medicine, Hirosaki University, Hirosaki 036-8562, Japan
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4
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The relationship between telomere length and putative markers of vascular ageing: A systematic review and meta-analysis. Mech Ageing Dev 2021; 201:111604. [PMID: 34774607 DOI: 10.1016/j.mad.2021.111604] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2021] [Revised: 11/07/2021] [Accepted: 11/08/2021] [Indexed: 01/07/2023]
Abstract
Accelerated biological aging contributes to the evolution of cardiovascular disease. However, its influence on subclinical organ damage remains unclear. Leukocyte telomere length (LTL) is emerging as a marker of biological cardiovascular aging. We performed a systematic review and meta-analysis to assess the association between LTL and measures of end-organ damage. PubMed, Medline, Embase, Cinahl Plus, ClinicalTrials.gov, and grey literature databases were searched for studies that assessed the association of LTL with arterial pulse wave velocity (aPWV), carotid intima-media thickness (cIMT), left ventricular mass (LVM or LVMI), renal outcomes, coronary artery calcium (CAC) and presence of carotid plaques. In a sample of 7256 patients, we found that cIMT (pooled correlation coefficient (r) = -0.249; 95 %CI -0.37, -0.128) and aPWV (pooled r = -0.194; 95 % CI -0.290, -0.100) inversely correlate with LTL. Compared to aPWV, cIMT had a stronger correlation with LTL. Patients without carotid plaques had longer telomeres than patients with carotid plaques. Quantitative analyses documented LTL association with renal outcomes and CAC, but not with LVM/LVMI. Among measures of end-organ damage, cIMT and aPWV provide the most accurate information on the contribution of biological aging to the process of vascular remodeling/damage.
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5
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Concannon J, Hynes N, McMullen M, Smyth E, Moerman K, McHugh PE, Sultan S, Karmonik C, McGarry JP. A Dual-VENC Four-Dimensional Flow MRI Framework for Analysis of Subject-Specific Heterogeneous Nonlinear Vessel Deformation. J Biomech Eng 2020; 142:114502. [PMID: 33006370 DOI: 10.1115/1.4048649] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2020] [Indexed: 07/25/2024]
Abstract
Advancement of subject-specific in silico medicine requires new imaging protocols tailored to specific anatomical features, paired with new constitutive model development based on structure/function relationships. In this study, we develop a new dual-velocity encoding coefficient (VENC) 4D flow MRI protocol that provides unprecedented spatial and temporal resolution of in vivo aortic deformation. All previous dual-VENC 4D flow MRI studies in the literature focus on an isolated segment of the aorta, which fail to capture the full spectrum of aortic heterogeneity that exists along the vessel length. The imaging protocol developed provides high sensitivity to all blood flow velocities throughout the entire cardiac cycle, overcoming the challenge of accurately measuring the highly unsteady nonuniform flow field in the aorta. Cross-sectional area change, volumetric flow rate, and compliance are observed to decrease with distance from the heart, while pulse wave velocity (PWV) is observed to increase. A nonlinear aortic lumen pressure-area relationship is observed throughout the aorta such that a high vessel compliance occurs during diastole, and a low vessel compliance occurs during systole. This suggests that a single value of compliance may not accurately represent vessel behavior during a cardiac cycle in vivo. This high-resolution MRI data provide key information on the spatial variation in nonlinear aortic compliance, which can significantly advance the state-of-the-art of in-silico diagnostic techniques for the human aorta.
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Affiliation(s)
- J Concannon
- Biomedical Engineering, National University of Ireland Galway, Galway H91 TK33, Ireland
| | - N Hynes
- Department of Vascular and Endovascular Surgery, National University of Ireland Galway, Galway H91 TK33, Ireland
| | - M McMullen
- Department of Radiology, Galway Clinic, Doughiska, Galway H91 HHT0, Ireland
| | - E Smyth
- Department of Radiology, Galway Clinic, Doughiska, Galway H91 HHT0, Ireland
| | - K Moerman
- Biomedical Engineering, National University of Ireland Galway, Galway H91 TK33, Ireland
| | - P E McHugh
- Biomedical Engineering, National University of Ireland Galway, Galway H91 TK33, Ireland
| | - S Sultan
- Department of Vascular and Endovascular Surgery, National University of Ireland Galway, Galway H91 TK33, Ireland
| | - C Karmonik
- MRI Core, Houston Methodist Debakey Heart and Vascular Center, Houston, TX 77030
| | - J P McGarry
- Biomedical Engineering, National University of Ireland Galway, Galway H91 TK33, Ireland
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6
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Demirelli E, Karagöz A, Öğreden E, Oğuz U, Vural A, Aksu M, Karadayı M, Yalçın O. The relationship between the severity of erectile dysfunction and aortic stiffness. Andrologia 2020; 52:e13544. [DOI: 10.1111/and.13544] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2019] [Revised: 12/10/2019] [Accepted: 01/19/2020] [Indexed: 11/30/2022] Open
Affiliation(s)
- Erhan Demirelli
- Department of Urology Faculty of Medicine Giresun University Giresun Turkey
| | - Ahmet Karagöz
- Department of Cardiology Faculty of Medicine Giresun University Giresun Turkey
| | - Ercan Öğreden
- Department of Urology Faculty of Medicine Giresun University Giresun Turkey
| | - Ural Oğuz
- Department of Urology Faculty of Medicine Giresun University Giresun Turkey
| | - Aslı Vural
- Department of Cardiology Faculty of Medicine Giresun University Giresun Turkey
| | - Mefail Aksu
- Department of Urology Faculty of Medicine Giresun University Giresun Turkey
| | - Mehmet Karadayı
- Department of Urology Faculty of Medicine Giresun University Giresun Turkey
| | - Orhan Yalçın
- Department of Urology Faculty of Medicine Giresun University Giresun Turkey
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7
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Staessen JA, Thijs L, Yang WY, Yu CG, Wei FF, Roels HA, Nawrot TS, Zhang ZY. Interpretation of Population Health Metrics: Environmental Lead Exposure as Exemplary Case. Hypertension 2020; 75:603-614. [PMID: 32008462 PMCID: PMC8032208 DOI: 10.1161/hypertensionaha.119.14217] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/05/2023]
Abstract
Our objective was to gain insight in the calculation and interpretation of population health metrics that inform disease prevention. Using as model environmental exposure to lead (ELE), a global pollutant, we assessed population health metrics derived from the Third National Health and Nutrition Examination Survey (1988 to 1994), the GBD (Global Burden of Disease Study 2010), and the Organization for Economic Co-operation and Development. In the National Health and Nutrition Examination Survey, the hazard ratio relating mortality over 19.3 years of follow-up to a blood lead increase at baseline from 1.0 to 6.7 µg/dL (10th–90th percentile interval) was 1.37 (95% CI, 1.17–1.60). The population-attributable fraction of blood lead was 18.0% (10.9%–26.1%). The number of preventable ELE-related deaths in the United States would be 412 000 per year (250 000–598 000). In GBD 2010, deaths and disability-adjusted life-years globally lost due to ELE were 0.67 million (0.58–0.78 million) and 0.56% (0.47%–0.66%), respectively. According to the 2017 Organization for Economic Co-operation and Development statistics, ELE-related welfare costs were $1 676 224 million worldwide. Extrapolations from the foregoing metrics assumed causality and reversibility of the association between mortality and blood lead, which at present-day ELE levels in developed nations is not established. Other issues limiting the interpretation of ELE-related population health metrics are the inflation of relative risk based on outdated blood lead levels, not differentiating relative from absolute risk, clustering of risk factors and exposures within individuals, residual confounding, and disregarding noncardiovascular disease and immigration in national ELE-associated welfare estimates. In conclusion, this review highlights the importance of critical thinking in translating population health metrics into cost-effective preventive strategies.
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Affiliation(s)
- Jan A Staessen
- From the Studies Coordinating Centre, Research Unit Hypertension and Cardiovascular Epidemiology, KU Leuven Department of Cardiovascular Sciences, University of Leuven, Belgium (J.A.S, L.T., W.-Y.Y., C.-G.Y., F.-F.W., Z.-Y.Z.).,Cardiovascular Research Institute Maastricht, Maastricht University, The Netherlands (J.A.S.).,NPA Alliance for the Promotion of Preventive Medicine, Mechelen, Belgium (J.A.S.)
| | - Lutgarde Thijs
- From the Studies Coordinating Centre, Research Unit Hypertension and Cardiovascular Epidemiology, KU Leuven Department of Cardiovascular Sciences, University of Leuven, Belgium (J.A.S, L.T., W.-Y.Y., C.-G.Y., F.-F.W., Z.-Y.Z.)
| | - Wen-Yi Yang
- From the Studies Coordinating Centre, Research Unit Hypertension and Cardiovascular Epidemiology, KU Leuven Department of Cardiovascular Sciences, University of Leuven, Belgium (J.A.S, L.T., W.-Y.Y., C.-G.Y., F.-F.W., Z.-Y.Z.).,Department of Cardiology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, China (W.-Y.Y.)
| | - Cai-Guo Yu
- From the Studies Coordinating Centre, Research Unit Hypertension and Cardiovascular Epidemiology, KU Leuven Department of Cardiovascular Sciences, University of Leuven, Belgium (J.A.S, L.T., W.-Y.Y., C.-G.Y., F.-F.W., Z.-Y.Z.).,Department of Endocrinology, Beijing Lu He Hospital and Key Laboratory of Diabetes Prevention and Research, Capital Medical University, China (C.-G.Y.)
| | - Fang-Fei Wei
- From the Studies Coordinating Centre, Research Unit Hypertension and Cardiovascular Epidemiology, KU Leuven Department of Cardiovascular Sciences, University of Leuven, Belgium (J.A.S, L.T., W.-Y.Y., C.-G.Y., F.-F.W., Z.-Y.Z.)
| | - Harry A Roels
- Centre for Environmental Sciences, Hasselt University, Diepenbeek, Belgium (H.A.R., T.S.N.)
| | - Tim S Nawrot
- Centre for Environmental Sciences, Hasselt University, Diepenbeek, Belgium (H.A.R., T.S.N.)
| | - Zhen-Yu Zhang
- From the Studies Coordinating Centre, Research Unit Hypertension and Cardiovascular Epidemiology, KU Leuven Department of Cardiovascular Sciences, University of Leuven, Belgium (J.A.S, L.T., W.-Y.Y., C.-G.Y., F.-F.W., Z.-Y.Z.)
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8
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Nabeel PM, Kiran VR, Joseph J, Abhidev VV, Sivaprakasam M. Local Pulse Wave Velocity: Theory, Methods, Advancements, and Clinical Applications. IEEE Rev Biomed Eng 2019; 13:74-112. [PMID: 31369386 DOI: 10.1109/rbme.2019.2931587] [Citation(s) in RCA: 58] [Impact Index Per Article: 11.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/09/2023]
Abstract
Local pulse wave velocity (PWV) is evolving as one of the important determinants of arterial hemodynamics, localized vessel stiffening associated with several pathologies, and a host of other cardiovascular events. Although PWV was introduced over a century ago, only in recent decades, due to various technological advancements, has emphasis been directed toward its measurement from a single arterial section or from piecewise segments of a target arterial section. This emerging worldwide trend in the exploration of instrumental solutions for local PWV measurement has produced several invasive and noninvasive methods. As of yet, however, a univocal opinion on the ideal measurement method has not emerged. Neither have there been extensive comparative studies on the accuracy of the available methods. Recognizing this reality, makes apparent the need to establish guideline-recommended standards for the measurement methods and reference values, without which clinical application cannot be pursued. This paper enumerates all major local PWV measurement methods while pinpointing their salient methodological considerations and emphasizing the necessity of global standardization. Further, a summary of the advancements in measuring modalities and clinical applications is provided. Additionally, a detailed discussion on the minimally explored concept of incremental local PWV is presented along with suggestions of future research questions.
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9
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Nguyen MT, Vryer R, Ranganathan S, Lycett K, Grobler A, Dwyer T, Juonala M, Saffery R, Burgner D, Wake M. Telomere Length and Vascular Phenotypes in a Population-Based Cohort of Children and Midlife Adults. J Am Heart Assoc 2019; 8:e012707. [PMID: 31140354 PMCID: PMC6585377 DOI: 10.1161/jaha.119.012707] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/02/2019] [Accepted: 04/30/2019] [Indexed: 12/21/2022]
Abstract
Background Telomere length has been inversely associated with cardiovascular disease in adulthood, but its relationship to preclinical cardiovascular phenotypes across the life course remains unclear. We investigated associations of telomere length with vascular structure and function in children and midlife adults. Methods and Results Population-based cross-sectional CheckPoint (Child Health CheckPoint) study of 11- to 12-year-old children and their parents, nested within the LSAC (Longitudinal Study of Australian Children). Telomere length (telomeric genomic DNA [T]/β-globin single-copy gene [S] [T/S ratio]) was measured by quantitative polymerase chain reaction from blood-derived genomic DNA. Vascular structure was assessed by carotid intima-media thickness, and vascular function was assessed by carotid-femoral pulse-wave velocity and carotid elasticity. Mean (SD) T/S ratio was 1.09 (0.55) in children (n=1206; 51% girls) and 0.81 (0.38) in adults (n=1343; 87% women). Linear regression models, adjusted for potential confounders, revealed no evidence of an association between T/S ratio and carotid intima-media thickness, carotid-femoral pulse-wave velocity, or carotid elasticity in children. In adults, longer telomeres were associated with greater carotid elasticity (0.14% per 10-mm Hg higher per unit of T/S ratio; 95% CI, 0.04%-0.2%; P=0.007), but not carotid intima-media thickness (-0.9 μm; 95% CI, -14 to 13 μm; P=0.9) or carotid-femoral pulse-wave velocity (-0.10 m/s; 95% CI, -0.3 to 0.07 m/s; P=0.2). In logistic regression analysis, telomere length did not predict poorer vascular measures at either age. Conclusions In midlife adults, but not children, there was some evidence that telomere length was associated with vascular elasticity but not thickness. Associations between telomere length and cardiovascular phenotypes may become more evident in later life, with advancing pathological changes.
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Affiliation(s)
- Minh Thien Nguyen
- Murdoch Children's Research InstituteParkvilleAustralia
- Department of PediatricsUniversity of MelbourneParkvilleAustralia
| | - Regan Vryer
- Murdoch Children's Research InstituteParkvilleAustralia
- Department of PediatricsUniversity of MelbourneParkvilleAustralia
| | - Sarath Ranganathan
- Murdoch Children's Research InstituteParkvilleAustralia
- Department of PediatricsUniversity of MelbourneParkvilleAustralia
- Respiratory MedicineRoyal Children's HospitalParkvilleAustralia
| | - Kate Lycett
- Murdoch Children's Research InstituteParkvilleAustralia
- Department of PediatricsUniversity of MelbourneParkvilleAustralia
| | - Anneke Grobler
- Murdoch Children's Research InstituteParkvilleAustralia
- Department of PediatricsUniversity of MelbourneParkvilleAustralia
| | - Terence Dwyer
- George Institute for Global HealthUniversity of OxfordUnited Kingdom
- Menzies InstituteUniversity of TasmaniaHobartTasmaniaAustralia
| | - Markus Juonala
- Department of MedicineUniversity of TurkuFinland
- Division of MedicineTurku University HospitalTurkuFinland
| | - Richard Saffery
- Murdoch Children's Research InstituteParkvilleAustralia
- Department of PediatricsUniversity of MelbourneParkvilleAustralia
| | - David Burgner
- Murdoch Children's Research InstituteParkvilleAustralia
- Department of PediatricsUniversity of MelbourneParkvilleAustralia
- Department of PediatricsMonash UniversityClaytonAustralia
- Infectious DiseasesRoyal Children's HospitalParkvilleAustralia
| | - Melissa Wake
- Murdoch Children's Research InstituteParkvilleAustralia
- Department of PediatricsUniversity of MelbourneParkvilleAustralia
- Department of Pediatrics and Liggins InstituteUniversity of AucklandNew Zealand
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10
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Cao W, Li X, Zhang X, Zhang J, Sun Q, Xu X, Sun M, Tian Q, Li Q, Wang H, Liu J, Meng X, Wu L, Song M, Hou H, Wang Y, Wang W. No Causal Effect of Telomere Length on Ischemic Stroke and Its Subtypes: A Mendelian Randomization Study. Cells 2019; 8:cells8020159. [PMID: 30769869 PMCID: PMC6407010 DOI: 10.3390/cells8020159] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2018] [Revised: 01/31/2019] [Accepted: 02/12/2019] [Indexed: 12/29/2022] Open
Abstract
Background: Epidemiological studies observing inconsistent associations of telomere length (TL) with ischemic stroke (IS) are susceptible to bias according to reverse causation and residual confounding. We aimed to assess the causal association between TL, IS, and the subtypes of IS, including large artery stroke (LAS), small vessel stroke (SVS), and cardioembolic stroke (CES) by performing a series of two-sample Mendelian randomization (MR) approaches. Methods: Seven single nucleotide polymorphisms (SNPs) were involved as candidate instrumental variables (IVs), summarized from a genome-wide meta-analysis including 37,684 participants of European descent. We analyzed the largest ever genome-wide association studies of stroke in Europe from the MEGASTROKE collaboration with 40,585 stroke cases and 406,111 controls. The weighted median (WM), the penalized weighted median (PWM), the inverse variance weighted (IVW), the penalized inverse variance weighted (PIVW), the robust inverse variance weighted (RIVW), and the Mendelian randomization-Egger (MR-Egger) methods were conducted for the MR analysis to estimate a causal effect and detect the directional pleiotropy. Results: No significant association between genetically determined TL with overall IS, LAS, or CES were found (all p > 0.05). SVS was associated with TL by the RIVW method (odds ratio (OR) = 0.72, 95% confidence interval (CI): 0.54–0.97, p = 0.028), after excluding rs9420907, rs10936599, and rs2736100. Conclusions: By a series of causal inference approaches using SNPs as IVs, no strong evidence to support the causal effect of shorter TL on IS and its subtypes were found.
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Affiliation(s)
- Weijie Cao
- Beijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, Beijing 100069, China.
| | - Xingang Li
- School of Medical and Health Sciences, Edith Cowan University, Perth 6027, Australia.
| | - Xiaoyu Zhang
- Beijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, Beijing 100069, China.
| | - Jie Zhang
- Beijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, Beijing 100069, China.
| | - Qi Sun
- Beijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, Beijing 100069, China.
| | - Xizhu Xu
- School of Public Health, Taishan Medical University, Taian 271016, China.
| | - Ming Sun
- Beijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, Beijing 100069, China.
| | - Qiuyue Tian
- Beijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, Beijing 100069, China.
| | - Qihuan Li
- Beijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, Beijing 100069, China.
| | - Hao Wang
- Beijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, Beijing 100069, China.
- School of Medical and Health Sciences, Edith Cowan University, Perth 6027, Australia.
| | - Jiaonan Liu
- Beijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, Beijing 100069, China.
| | - Xiaoni Meng
- Beijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, Beijing 100069, China.
| | - Lijuan Wu
- Beijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, Beijing 100069, China.
| | - Manshu Song
- Beijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, Beijing 100069, China.
| | - Haifeng Hou
- School of Medical and Health Sciences, Edith Cowan University, Perth 6027, Australia.
- School of Public Health, Taishan Medical University, Taian 271016, China.
| | - Youxin Wang
- Beijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, Beijing 100069, China.
| | - Wei Wang
- Beijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, Beijing 100069, China.
- School of Medical and Health Sciences, Edith Cowan University, Perth 6027, Australia.
- School of Public Health, Taishan Medical University, Taian 271016, China.
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11
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Gielen M, Hageman GJ, Antoniou EE, Nordfjall K, Mangino M, Balasubramanyam M, de Meyer T, Hendricks AE, Giltay EJ, Hunt SC, Nettleton JA, Salpea KD, Diaz VA, Farzaneh-Far R, Atzmon G, Harris SE, Hou L, Gilley D, Hovatta I, Kark JD, Nassar H, Kurz DJ, Mather KA, Willeit P, Zheng YL, Pavanello S, Demerath EW, Rode L, Bunout D, Steptoe A, Boardman L, Marti A, Needham B, Zheng W, Ramsey-Goldman R, Pellatt AJ, Kaprio J, Hofmann JN, Gieger C, Paolisso G, Hjelmborg JBH, Mirabello L, Seeman T, Wong J, van der Harst P, Broer L, Kronenberg F, Kollerits B, Strandberg T, Eisenberg DTA, Duggan C, Verhoeven JE, Schaakxs R, Zannolli R, dos Reis RMR, Charchar FJ, Tomaszewski M, Mons U, Demuth I, Iglesias Molli AE, Cheng G, Krasnienkov D, D'Antono B, Kasielski M, McDonnell BJ, Ebstein RP, Sundquist K, Pare G, Chong M, Zeegers MP. Body mass index is negatively associated with telomere length: a collaborative cross-sectional meta-analysis of 87 observational studies. Am J Clin Nutr 2018; 108:453-475. [PMID: 30535086 PMCID: PMC6454526 DOI: 10.1093/ajcn/nqy107] [Citation(s) in RCA: 111] [Impact Index Per Article: 18.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2017] [Accepted: 04/27/2018] [Indexed: 12/12/2022] Open
Abstract
Background Even before the onset of age-related diseases, obesity might be a contributing factor to the cumulative burden of oxidative stress and chronic inflammation throughout the life course. Obesity may therefore contribute to accelerated shortening of telomeres. Consequently, obese persons are more likely to have shorter telomeres, but the association between body mass index (BMI) and leukocyte telomere length (TL) might differ across the life span and between ethnicities and sexes. Objective A collaborative cross-sectional meta-analysis of observational studies was conducted to investigate the associations between BMI and TL across the life span. Design Eighty-seven distinct study samples were included in the meta-analysis capturing data from 146,114 individuals. Study-specific age- and sex-adjusted regression coefficients were combined by using a random-effects model in which absolute [base pairs (bp)] and relative telomere to single-copy gene ratio (T/S ratio) TLs were regressed against BMI. Stratified analysis was performed by 3 age categories ("young": 18-60 y; "middle": 61-75 y; and "old": >75 y), sex, and ethnicity. Results Each unit increase in BMI corresponded to a -3.99 bp (95% CI: -5.17, -2.81 bp) difference in TL in the total pooled sample; among young adults, each unit increase in BMI corresponded to a -7.67 bp (95% CI: -10.03, -5.31 bp) difference. Each unit increase in BMI corresponded to a -1.58 × 10(-3) unit T/S ratio (0.16% decrease; 95% CI: -2.14 × 10(-3), -1.01 × 10(-3)) difference in age- and sex-adjusted relative TL in the total pooled sample; among young adults, each unit increase in BMI corresponded to a -2.58 × 10(-3) unit T/S ratio (0.26% decrease; 95% CI: -3.92 × 10(-3), -1.25 × 10(-3)). The associations were predominantly for the white pooled population. No sex differences were observed. Conclusions A higher BMI is associated with shorter telomeres, especially in younger individuals. The presently observed difference is not negligible. Meta-analyses of longitudinal studies evaluating change in body weight alongside change in TL are warranted.
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Affiliation(s)
- Marij Gielen
- Departments of Complex Genetics,Address correspondence to MG (e-mail: )
| | - Geja J Hageman
- Toxicology, NUTRIM School of Nutrition and Translational Research in Metabolism, Maastricht University Medical Center, Maastricht University, Netherlands
| | - Evangelia E Antoniou
- Department of Clinical Psychological Science, Faculty of Psychology and Neuroscience, Maastricht University, Netherlands
| | | | - Massimo Mangino
- Twin Research and Genetic Epidemiology, King's College London, London, United Kingdom,NIHR Biomedical Research Center at Guy's and St. Thomas’ Foundation Trust, London, United Kingdom
| | | | - Tim de Meyer
- Department of Mathematical Modeling, Statistics, and Bioinformatics, Ghent University, Ghent, Belgium
| | - Audrey E Hendricks
- Population Sciences Branch of the National Heart, Lung, and Blood Institute (NHLBI), NIH, NHLBI's Framingham Heart Study, Framingham, MA,Department of Mathematical and Statistical Sciences, University of Colorado–Denver, Denver, CO
| | - Erik J Giltay
- Department of Psychiatry, Leiden University Medical Center, Leiden, Netherlands
| | - Steven C Hunt
- Cardiovascular Genetics Division, Department of Medicine, University of Utah, Salt Lake City, UT
| | - Jennifer A Nettleton
- Division of Epidemiology, Human Genetics, and Environmental Sciences, University of Texas Health Science Center, Houston, TX
| | - Klelia D Salpea
- Department of Molecular Biology and Genetics, BSRC “Alexander Fleming,” Athens, Greece
| | - Vanessa A Diaz
- Department of Family Medicine, Medical University of South Carolina, Charleston, SC
| | - Ramin Farzaneh-Far
- Division of Cardiology, San Francisco General Hospital, San Francisco, CA
| | - Gil Atzmon
- Department of Medicine and Genetics, Albert Einstein College of Medicine, Bronx, NY, and Department of Biology, Faculty of Natural Science, University of Haifa, Haifa, Israel
| | - Sarah E Harris
- Center for Cognitive Aging and Cognitive Epidemiology and Medical Genetics Section and Center for Genomics and Experimental Medicine and MRC Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, United Kingdom
| | - Lifang Hou
- Department of Preventive Medicine and Robert H Lurie Comprehensive Cancer Center, Feinberg School of Medicine, Northwestern University, Chicago, IL
| | - David Gilley
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN
| | - Iiris Hovatta
- Department of Biosciences, University of Helsinki, Helsinki, Finland,Department of Health, National Institute for Health and Welfare, Helsinki, Finland
| | - Jeremy D Kark
- Epidemiology Unit, Hebrew University–Hadassah School of Public Health and Community Medicine, Jerusalem, Israel
| | - Hisham Nassar
- Department of Cardiology, Hadassah University Medical Center, Jerusalem, Israel
| | - David J Kurz
- Department of Cardiology, Triemli Hospital, Zurich, Switzerland
| | - Karen A Mather
- Centre for Healthy Brain Ageing, Psychiatry, UNSW Australia, Sydney, Australia
| | - Peter Willeit
- Department of Neurology, Medical University Innsbruck, Innsbruck, Austria, and Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom
| | - Yun-Ling Zheng
- Department of Oncology, Georgetown University Medical Center, Georgetown University, Washington, DC
| | - Sofia Pavanello
- Department of Cardiac, Thoracic, and Vascular Sciences, Unit of Occupational Medicine, University of Padova, Padova, Italy
| | - Ellen W Demerath
- Division of Epidemiology and Community Health, University of Minnesota School of Public Health, Minneapolis, MN
| | - Line Rode
- The Copenhagen General Population Study, Department of Clinical Biochemistry, Copenhagen University Hospital, Herlev and Gentofte Hospital, Copenhagen, Denmark
| | - Daniel Bunout
- Institute of Nutrition and Food Technology University of Chile, Santiago, Chile
| | - Andrew Steptoe
- Department of Epidemiology and Public Health, University College London, London, United Kingdom
| | - Lisa Boardman
- Division of Gastroenterology and Hepatology, Department of Internal Medicine, Mayo Clinic College of Medicine, Rochester, MN
| | - Amelia Marti
- Department of Nutrition, Food Science, and Physiology, University of Navarra, Pamplona, Spain,Instituto de Investigación Sanitaria de Navarra, Pamplona, Spain,CIBER Fisiopatología de la Obesidad y Nutrición, (CIBERobn), Instituto de Salud Carlos III, Madrid, Spain
| | - Belinda Needham
- Department of Epidemiology, University of Michigan, Ann Arbor, MI
| | - Wei Zheng
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, TN
| | | | | | - Jaakko Kaprio
- Department of Public Health,Institute for Molecular Medicine, University of Helsinki, Helsinki, Finland
| | - Jonathan N Hofmann
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD
| | - Christian Gieger
- Research Unit of Molecular Epidemiology and Institute of Epidemiology II, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
| | - Giuseppe Paolisso
- Department of Medical, Surgical, Neurological, Metabolic, and Geriatric Sciences, Second University of Naples, Naples, Italy
| | - Jacob B H Hjelmborg
- Department of Epidemiology, Biostatistics, and Biodemography, Institute of Public Health, University of Southern Denmark, Odense C, Denmark
| | - Lisa Mirabello
- Department of Medical, Surgical, Neurological, Metabolic, and Geriatric Sciences, Second University of Naples, Naples, Italy
| | - Teresa Seeman
- Department of Medicine, David Geffen School of Medicine at UCLA, Los Angeles, CA
| | - Jason Wong
- Stanford University School of Medicine, Stanford, CA
| | - Pim van der Harst
- Department of Cardiology, University Medical Center Groningen, Groningen, Netherlands
| | - Linda Broer
- Department of Internal Medicine, Erasmus MC, Rotterdam, Netherlands
| | - Florian Kronenberg
- Division of Genetic Epidemiology, Department of Medical Genetics, Molecular, and Clinical Pharmacology, Medical University of Innsbruck, Innsbruck, Austria
| | - Barbara Kollerits
- Division of Genetic Epidemiology, Department of Medical Genetics, Molecular, and Clinical Pharmacology, Medical University of Innsbruck, Innsbruck, Austria
| | - Timo Strandberg
- University of Helsinki and Helsinki University Central Hospital, Helsinki, Finland; Center for Life Course Epidemiology, University of Oulu, Oulu, Finland
| | - Dan T A Eisenberg
- Department of Anthropology and Center for Studies in Demography and Ecology, University of Washington, Seattle, WA
| | | | - Josine E Verhoeven
- Department of Psychiatry, VU University Medical Center, Amsterdam Public Health Research Institute, Amsterdam, Netherlands
| | - Roxanne Schaakxs
- Department of Psychiatry, VU University Medical Center, Amsterdam Public Health Research Institute, Amsterdam, Netherlands
| | - Raffaela Zannolli
- Pediatrics Unit, Azienda Ospedaliera Universitaria, Senese/University of Siena, Policlinico Le Scotte, Siena, Italy
| | - Rosana M R dos Reis
- Department of Gynecology and Obstetrics, Ribeirão Preto Medical School, University of São Paulo, Ribeirão Preto, São Paulo, Brazil
| | - Fadi J Charchar
- School of Science and Technology, Federation University Australia, Department of Physiology, University of Melbourne, Melbourne, Australia, and Department of Cardiovascular Sciences, University of Leicester, Leicester, United Kingdom
| | - Maciej Tomaszewski
- Division of Cardiovascular Sciences, Faculty of Medicine, Biology, and Health, University of Manchester, Manchester, United Kingdom,Division of Medicine, Manchester University NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, United Kingdom
| | - Ute Mons
- Division of Clinical Epidemiology and Aging Research,Cancer Prevention Unit, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Ilja Demuth
- Charité–Universitätsmedizin Berlin (corporate member of Freie Universität Berlin), Humboldt-Universität zu Berlin, and Berlin Institute of Health, Lipid Clinic at the Interdisciplinary Metabolism Center, Berlin, Germany
| | - Andrea Elena Iglesias Molli
- CONICET-Universidad de Buenos Aires. Instituto de Inmunología, Genética y Metabolismo (INIGEM). Laboratorio de Diabetes y Metabolismo, Ciudad Autónoma de Buenos Aires, Buenos Aires, Argentina
| | - Guo Cheng
- Department of Nutrition, Food Safety, and Toxicology, West China School of Public Health, Sichuan University, Chengdu, China
| | - Dmytro Krasnienkov
- Department of Epigenetics, DF Chebotarev State Institute of Gerontology NAMS of Ukraine, Kyiv, Ukraine
| | - Bianca D'Antono
- Research Center, Montreal Heart Institute, and Psychology Department, University of Montreal, Montreal, Quebec, Canada
| | - Marek Kasielski
- Bases of Clinical Medicine Teaching Center, Medical University of Lodz, Lodz, Poland
| | - Barry J McDonnell
- Cardiff School of Sport and Health Sciences, Cardiff Metropolitan University, Cardiff, United Kingdom
| | | | - Kristina Sundquist
- Center for Primary Health Care Research, Lund University, Region Skåne, Lund, Sweden
| | - Guillaume Pare
- Population Health Research Institute and McMaster University, Hamilton, Canada
| | - Michael Chong
- Population Health Research Institute and McMaster University, Hamilton, Canada
| | - Maurice P Zeegers
- Departments of Complex Genetics,CAPHRI School for Public Health and Primary Care, Maastricht University, Maastricht, Netherlands
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12
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Goldman EA, Eick GN, Compton D, Kowal P, Snodgrass JJ, Eisenberg DTA, Sterner KN. Evaluating minimally invasive sample collection methods for telomere length measurement. Am J Hum Biol 2017; 30. [PMID: 28949426 DOI: 10.1002/ajhb.23062] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2016] [Revised: 08/07/2017] [Accepted: 08/27/2017] [Indexed: 12/22/2022] Open
Abstract
OBJECTIVES Telomere length (TL) is a biomarker of aging and age-related decline. Although venous blood is considered the "gold standard" for TL measurement, its collection is often not feasible or desired in nonclinical settings. Saliva and dried blood spots (DBS) have been used as alternatives when venipuncture cannot be performed. However, it is not known whether these sample types yield TL measurements comparable to those obtained from venous blood. We sought to determine whether different samples from the same individual yield comparable TL measurements. METHODS We extracted DNA from matched buffy coat, saliva (Oragene and Oasis), and DBS (venous and capillary) samples from 40 women aged 18-77 years. We used the monochrome multiplex qPCR (MMQPCR) assay to measure TL in all sample types for each participant and applied quality control measures to retain only high-quality samples for analysis. We then compared TL from buffy coat and saliva to examine how these measurements differ and to test if TL is correlated across sample types. RESULTS TL differed significantly across buffy coat, Oragene saliva, and Oasis saliva samples. TL from buffy coat and Oragene saliva was moderately correlated (ρ = 0.48, P = .002) and the most similar in size. Oasis saliva TL was not correlated with buffy coat or Oragene saliva TL, and was the shortest. DBS DNA yields were inadequate for TL measurement using the MMQPCR assay. CONCLUSIONS Using a matched dataset we demonstrate that sample type significantly influences the TL measurement obtained using the MMQPCR assay.
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Affiliation(s)
| | - Geeta N Eick
- Department of Anthropology, University of Oregon, Eugene, Oregon 97403
| | - Devan Compton
- Department of Anthropology, University of Oregon, Eugene, Oregon 97403
| | - Paul Kowal
- Department of Anthropology, University of Oregon, Eugene, Oregon 97403.,World Health Organization, Seattle, Washington 98105
| | - J Josh Snodgrass
- Department of Anthropology, University of Oregon, Eugene, Oregon 97403
| | - Dan T A Eisenberg
- Department of Anthropology, University of Washington, Seattle, Washington 98105.,The Center for Studies in Demography, and Ecology, University of Washington, Seattle, Washington 98105
| | - Kirstin N Sterner
- Department of Anthropology, University of Oregon, Eugene, Oregon 97403
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13
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Lee SH, Griffiths N, Shao L. Can telomere length be used as a biomarker for cardiovascular diseases? Insights from a large clinical study. J Physiol 2017; 595:4595-4596. [PMID: 28512776 DOI: 10.1113/jp274372] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022] Open
Affiliation(s)
- Shin-Hann Lee
- Peter Gilgan Centre for Research and Learning, The Hospital for Sick Children, Toronto, Ontario, Canada, M5G 0A4.,Department of Molecular Genetics, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada, M5S 1A8
| | - Nigel Griffiths
- Peter Gilgan Centre for Research and Learning, The Hospital for Sick Children, Toronto, Ontario, Canada, M5G 0A4.,Department of Molecular Genetics, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada, M5S 1A8
| | - Lisa Shao
- Peter Gilgan Centre for Research and Learning, The Hospital for Sick Children, Toronto, Ontario, Canada, M5G 0A4.,Department of Molecular Genetics, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada, M5S 1A8
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14
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Abstract
Epidemiological studies have shown that ageing is a major non-reversible risk factor for cardiovascular disease. Vascular ageing starts early in life and is characterized by a gradual change of vascular structure and function resulting in increased arterial stiffening. At the present review we discuss the role of the most important molecular pathways involved in vascular ageing, their association with arterial stiffening and possible novel therapeutic targets that may delay this otherwise irreversible degenerating process. Specifically, we discuss the role of oxidative stress, telomere shortening, and ubiquitin proteasome system in endothelial cell senescence and dysfunction in vascular inflammation and in arterial stiffening. Further, we summarize the most important molecular mechanisms regulating vascular ageing including sirtuin 1, telomerase, klotho, JunD, and amyloid beta 1-40 peptide.
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Affiliation(s)
- Ageliki Laina
- Department of Clinical Therapeutics, Alexandra Hospital, University of Athens, Athens, Greece
| | - Konstantinos Stellos
- Institute of Cardiovascular Regeneration, Center of Molecular Medicine, Goethe University Frankfurt, Frankfurt, Germany; Department of Cardiology, Center of Internal Medicine, Goethe University Frankfurt, Frankfurt, Germany; German Center of Cardiovascular Research (Deutsches Zentrum für Herz-Kreislaufforschung; DZHK), Rhein-Main Partner Site, Frankfurt, Germany
| | - Kimon Stamatelopoulos
- Department of Clinical Therapeutics, Alexandra Hospital, University of Athens, Athens, Greece.
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