1
|
Ashe JJ, Evans MK, Zonderman AB, Waldstein SR. Absent Relations of Religious Coping to Telomere Length in African American and White Women and Men. Exp Aging Res 2024; 50:459-481. [PMID: 37258109 PMCID: PMC10687320 DOI: 10.1080/0361073x.2023.2219187] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2022] [Accepted: 05/23/2023] [Indexed: 06/02/2023]
Abstract
OBJECTIVES This study investigated whether race and sex moderated the relations of religious coping to telomere length (TL), a biomarker of cellular aging implicated in race-related health disparities. METHODS Participant data were drawn from the Healthy Aging in Neighborhoods of Diversity across the Life Span (HANDLS) study, which included 252 socioeconomically diverse African American and White men and women aged (30-64 years old). Cross-sectional multivariable regression analyses examined interactive associations of religious coping, race, and sex to TL, adjusting for other sociodemographic characteristics. RESULTS Religious coping was unrelated to TL in this sample (p's > .05). There were no notable race or sex differences. Post hoc exploratory analyses similarly found that neither secular social support coping use nor substance use coping was associated with TL. CONCLUSION There was no evidence to support that religious coping use provided protective effects to TL in this sample of African American and White women and men. Nevertheless, future studies should use more comprehensive assessments of religious coping and intersectional identities to provide an in-depth examination of religiosity/spirituality as a potential culturally salient protective factor in cellular aging among African Americans in the context of specific chronic stressors such as discrimination.
Collapse
Affiliation(s)
- Jason J. Ashe
- Department of Psychology, University of Maryland, Baltimore County, Baltimore, MD, US
| | - Michele K. Evans
- Laboratory of Epidemiology and Population Sciences, National Institute on Aging, Baltimore, MD, US
| | - Alan B. Zonderman
- Laboratory of Epidemiology and Population Sciences, National Institute on Aging, Baltimore, MD, US
| | - Shari R. Waldstein
- Department of Psychology, University of Maryland, Baltimore County, Baltimore, MD, US
- Division of Gerontology and Geriatric Medicine, University of Maryland School of Medicine, Baltimore, MD, US
| | | |
Collapse
|
2
|
Wang N, Ren L, Li Z, Hu Y, Zhou J, Sun Q, Pei B, Li X, Peng W, Yu J, Zhao R, Huang Z, Chen Z, Huang G. The association between SII and aging: evidence from NHANES 1999-2018. Front Public Health 2024; 12:1418385. [PMID: 38993709 PMCID: PMC11236748 DOI: 10.3389/fpubh.2024.1418385] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2024] [Accepted: 06/17/2024] [Indexed: 07/13/2024] Open
Abstract
Background The study aimed to examine the association between the systemic immune-inflammation index (SII), a contemporary metric of systemic inflammatory response, and biological aging, which are closely interconnected processes. Methods This cross-sectional study utilized 10 cycles of data from the NHANES database spanning from 1990 to 2018. The study examined the relationship between the SII index, calculated as P * N/L, where P represents preoperative peripheral platelet count, N represents neutrophil count, and L represents lymphocyte count, and biological aging. Biological aging was assessed through various methods, such as phenotypic age, phenotypic age acceleration (PhenoAgeAccel), biological age, and biological age acceleration (BioAgeAccel). Correlations were analyzed using weighted linear regression and subgroup analysis. Results Among the 7,491 participants analyzed, the average age was 45.26 ± 0.34 years, with 52.16% being female. The average phenotypic and biological ages were 40.06 ± 0.36 and 45.89 ± 0.32 years, respectively. Following adjustment for potential confounders, elevated SII scores were linked to increased phenotypic age, biological age, Phenotypic age acceleration, and Biological age acceleration. Positive correlations were observed between health behavior and health factor scores and biological aging, with stronger associations seen for health factors. In health factor-specific analyses, the β coefficient was notably higher for high BMI. The robust positive associations between SII scores and both phenotypic age and biological age in the stratified analyses were consistently observed across all strata. Conclusion The evidence from the NHANES data indicate that SII may serve as a valuable marker for assessing different facets of aging and health outcomes, such as mortality and the aging process. Additional research is warranted to comprehensively elucidate the implications of SII in the aging process and its utility as a clinical instrument for evaluating and addressing age-related ailments.
Collapse
Affiliation(s)
- Nanbu Wang
- State Key Laboratory of Traditional Chinese Medicine Syndrome, The First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Lian Ren
- Center for Evidence-Based and Translational Medicine, Zhongnan Hospital of Wuhan University, Zhongnan Medical Journal Press, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - Ziyuan Li
- The First Clinical Medical College, Guangzhou University of Traditional Chinese Medicine, Guangzhou, China
| | - Yunhao Hu
- The First Clinical Medical College, Guangzhou University of Traditional Chinese Medicine, Guangzhou, China
| | - Jingpei Zhou
- The First Clinical Medical College, Guangzhou University of Traditional Chinese Medicine, Guangzhou, China
| | - Quan Sun
- The First Clinical Medical College, Guangzhou University of Traditional Chinese Medicine, Guangzhou, China
| | - Bin Pei
- Department of Evidence-Based Medicine Center, Xiangyang No.1 People’s Hospital, Hubei University of Medicine, Wuhan, China
| | - Xinyu Li
- The First Clinical Medical College, Guangzhou University of Traditional Chinese Medicine, Guangzhou, China
| | - Wanqing Peng
- The First Clinical Medical College, Guangzhou University of Traditional Chinese Medicine, Guangzhou, China
| | - Jinyan Yu
- The First Clinical Medical College, Guangzhou University of Traditional Chinese Medicine, Guangzhou, China
| | - Renhui Zhao
- The First Clinical Medical College, Guangzhou University of Traditional Chinese Medicine, Guangzhou, China
| | - Ziting Huang
- The First Clinical Medical College, Guangzhou University of Traditional Chinese Medicine, Guangzhou, China
| | - Zhenhu Chen
- Acupuncture and Rehabilitation Centre, The First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Guoxin Huang
- Department of Evidence-Based Medicine Center, Xiangyang No.1 People’s Hospital, Hubei University of Medicine, Wuhan, China
| |
Collapse
|
3
|
Zhang K, Chen J, Chen B, Han Y, Cai T, Zhao J, Gu Z, Gao M, Hou Z, Yu X, Gu F, Gao Y, Hu R, Xie J, Liu T, Cui D, Li B. Association between dietary folate intake and severe abdominal aorta calcification in adults: A cross-sectional analysis of the national health and nutrition examination survey. Diab Vasc Dis Res 2024; 21:14791641241246555. [PMID: 38597693 PMCID: PMC11015784 DOI: 10.1177/14791641241246555] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 04/11/2024] Open
Abstract
BACKGROUND Prior studies have established a connection between folate intake and cardiovascular disease (CVD). Abdominal aortic calcification (AAC) has been introduced as a good predictor of CVD events, but no previous study has investigated the relationship between dietary folate intake and severe AAC. Therefore, the study aims to explore the association between dietary folate intake and severe AAC in the United States (US) middle-aged and elderly population. METHODS This study employed cross-sectional data from the 2013-2014 National Health and Nutrition Examination Survey (NHANES) to examine the relationship between dietary folate intake and severe AAC. Two 24-h dietary recall interviews were conducted to assess dietary folate intake and its sources, while a DXA scan was used to determine the AAC score. To analyze the association between dietary folate intake and severe AAC, a multivariable logistic regression model was applied, and a subgroup analysis was performed. RESULTS Our analysis utilized data from 2640 participants aged 40 years and above, including 288 individuals diagnosed with severe AAC. After adjusting for confounding factors, we observed an inverted L-shaped association between folate intake and severe AAC. Upon further adjustment for specific confounding factors and covariates, the multivariable-adjusted odds ratios (ORs) and corresponding 95% confidence intervals (CIs) for the second, third, and fourth quartiles of folate intake, using the first quartile as the reference, were as follows: 1.24 (0.86-1.79), 0.86 (0.58-1.27), and 0.63 (0.41-0.97), respectively. Subgroup analysis results were consistent with the logistic regression models, indicating concordant findings. Moreover, no significant interaction was observed in the subgroup analyses. CONCLUSIONS The study findings suggest an inverted L-shaped association between dietary folate intake and severe AAC. However, additional prospective investigations are necessary to explore the impact of dietary folate intake on severe AAC in patients.
Collapse
Affiliation(s)
- Kai Zhang
- Cardiovascular Surgery Department of the Second Hospital of Jilin University, Changchun, China
| | - Jianguo Chen
- Bethune First College of Clinical Medicine, Jilin University, Changchun, China
| | - Bowen Chen
- Bethune First College of Clinical Medicine, Jilin University, Changchun, China
| | - Yu Han
- Department of Ophthalmology, First Hospital of Jilin University, Changchun, China
| | - Tianyi Cai
- Bethune Second School of Clinical Medicine, Jilin University, Changchun, China
| | - JiaYu Zhao
- Cardiovascular Surgery Department of the Second Hospital of Jilin University, Changchun, China
| | - ZhaoXuan Gu
- Cardiovascular Surgery Department of the Second Hospital of Jilin University, Changchun, China
| | - Min Gao
- Department of Cancer Center, The First Hospital of Jilin University, Changchun, China
| | - Zhengyan Hou
- Bethune Second School of Clinical Medicine, Jilin University, Changchun, China
| | - Xiaoqi Yu
- Bethune Second School of Clinical Medicine, Jilin University, Changchun, China
| | - FangMing Gu
- Cardiovascular Surgery Department of the Second Hospital of Jilin University, Changchun, China
| | - Yafang Gao
- Bethune Second School of Clinical Medicine, Jilin University, Changchun, China
| | - Rui Hu
- Bethune Second School of Clinical Medicine, Jilin University, Changchun, China
| | - Jinyu Xie
- Cardiovascular Surgery Department of the Second Hospital of Jilin University, Changchun, China
| | - Tianzhou Liu
- Department of Gastrointestinal Surgery, The Second Hospital of Jilin University, Changchun, China
| | - Dan Cui
- Cardiovascular Surgery Department of the Second Hospital of Jilin University, Changchun, China
| | - Bo Li
- Cardiovascular Surgery Department of the Second Hospital of Jilin University, Changchun, China
| |
Collapse
|
4
|
Bu LL, Yuan HH, Xie LL, Guo MH, Liao DF, Zheng XL. New Dawn for Atherosclerosis: Vascular Endothelial Cell Senescence and Death. Int J Mol Sci 2023; 24:15160. [PMID: 37894840 PMCID: PMC10606899 DOI: 10.3390/ijms242015160] [Citation(s) in RCA: 12] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2023] [Revised: 10/01/2023] [Accepted: 10/05/2023] [Indexed: 10/29/2023] Open
Abstract
Endothelial cells (ECs) form the inner linings of blood vessels, and are directly exposed to endogenous hazard signals and metabolites in the circulatory system. The senescence and death of ECs are not only adverse outcomes, but also causal contributors to endothelial dysfunction, an early risk marker of atherosclerosis. The pathophysiological process of EC senescence involves both structural and functional changes and has been linked to various factors, including oxidative stress, dysregulated cell cycle, hyperuricemia, vascular inflammation, and aberrant metabolite sensing and signaling. Multiple forms of EC death have been documented in atherosclerosis, including autophagic cell death, apoptosis, pyroptosis, NETosis, necroptosis, and ferroptosis. Despite this, the molecular mechanisms underlying EC senescence or death in atherogenesis are not fully understood. To provide a comprehensive update on the subject, this review examines the historic and latest findings on the molecular mechanisms and functional alterations associated with EC senescence and death in different stages of atherosclerosis.
Collapse
Affiliation(s)
- Lan-Lan Bu
- School of Pharmacy, Hunan University of Chinese Medicine, Changsha 410208, China; (L.-L.B.); (D.-F.L.)
| | - Huan-Huan Yuan
- College of Integrated Chinese and Western Medicine, Hunan University of Chinese Medicine, Changsha 410208, China; (H.-H.Y.); (L.-L.X.); (M.-H.G.)
| | - Ling-Li Xie
- College of Integrated Chinese and Western Medicine, Hunan University of Chinese Medicine, Changsha 410208, China; (H.-H.Y.); (L.-L.X.); (M.-H.G.)
- Departments of Biochemistry and Molecular Biology and Physiology and Pharmacology, Cumming School of Medicine, University of Calgary, Calgary, AB T2N 1N4, Canada
| | - Min-Hua Guo
- College of Integrated Chinese and Western Medicine, Hunan University of Chinese Medicine, Changsha 410208, China; (H.-H.Y.); (L.-L.X.); (M.-H.G.)
| | - Duan-Fang Liao
- School of Pharmacy, Hunan University of Chinese Medicine, Changsha 410208, China; (L.-L.B.); (D.-F.L.)
| | - Xi-Long Zheng
- Departments of Biochemistry and Molecular Biology and Physiology and Pharmacology, Cumming School of Medicine, University of Calgary, Calgary, AB T2N 1N4, Canada
| |
Collapse
|
5
|
Zhang R, Wu M, Zhang W, Liu X, Pu J, Wei T, Zhu Z, Tang Z, Wei N, Liu B, Cui Q, Wang J, Liu F, Lv Y. Association between life's essential 8 and biological ageing among US adults. J Transl Med 2023; 21:622. [PMID: 37710295 PMCID: PMC10503107 DOI: 10.1186/s12967-023-04495-8] [Citation(s) in RCA: 20] [Impact Index Per Article: 20.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2023] [Accepted: 08/30/2023] [Indexed: 09/16/2023] Open
Abstract
BACKGROUND Biological ageing is tightly linked to cardiovascular disease (CVD). We aimed to investigate the relationship between Life's Essential 8 (LE8), a currently updated measure of cardiovascular health (CVH), and biological ageing. METHODS This cross-sectional study selected adults ≥ 20 years of age from the 2005-2010 National Health and Nutrition Examination Survey. LE8 scores (range 0-100) were obtained from measurements based on American Heart Association definitions, divided into health behavior and health factor scores. Biological ageing was assessed by different methods including phenotypic age, phenotypic age acceleration (PhenoAgeAccel), biological age and biological age acceleration (BioAgeAccel). Correlations were analyzed by weighted linear regression and restricted cubic spline models. RESULTS Of the 11,729 participants included, the mean age was 47.41 ± 0.36 years and 5983 (51.01%) were female. The mean phenotypic and biological ages were 42.96 ± 0.41 and 46.75 ± 0.39 years, respectively, and the mean LE8 score was 67.71 ± 0.35. After adjusting for potential confounders, higher LE8 scores were associated with lower phenotypic age, biological age, PhenoAgeAccel, and BioAgeAccel, with nonlinear dose-response relationships. Negative associations were also found between health behavior and health factor scores and biological ageing, and were stronger for health factors. In health factor-specific analyses, the β negativity was greater for blood glucose and blood pressure. The inverse correlations of LE8 scores with phenotypic age and biological age in the stratified analyses remained solid across strata. CONCLUSIONS LE8 and its subscale scores were strongly negatively related to biological ageing. Encouraging optimal CVH levels may be advantageous in preventing and slowing down ageing.
Collapse
Affiliation(s)
- Ronghuai Zhang
- Department of Cardiology, Shaanxi Provincial People's Hospital, No. 256, Youyixi Road, Xi'an, 710068, Shaanxi, China
| | - Min Wu
- Shaanxi Provincial Key Laboratory of Infection and Immune Diseases, Shaanxi Provincial People's Hospital, Xi'an, People's Republic of China
| | - Wei Zhang
- Department of Cardiology, Shaanxi Provincial People's Hospital, No. 256, Youyixi Road, Xi'an, 710068, Shaanxi, China
| | - Xuna Liu
- Department of Gastroenterology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an 710004, China
| | - Jie Pu
- Department of Cardiology, Shaanxi Provincial People's Hospital, No. 256, Youyixi Road, Xi'an, 710068, Shaanxi, China
| | - Tao Wei
- Department of Cardiology, Shaanxi Provincial People's Hospital, No. 256, Youyixi Road, Xi'an, 710068, Shaanxi, China
- Department of Cardiovascular Surgery, Shaanxi Provincial People's Hospital, Xi'an, People's Republic of China
| | - Zhanfang Zhu
- Xi'an Jiaotong University Hospital, Xi'an, People's Republic of China
| | - Zhiguo Tang
- Department of Cardiology, Shaanxi Provincial People's Hospital, No. 256, Youyixi Road, Xi'an, 710068, Shaanxi, China
| | - Na Wei
- Department of Cardiology, Shaanxi Provincial People's Hospital, No. 256, Youyixi Road, Xi'an, 710068, Shaanxi, China
| | - Bo Liu
- Department of Cardiology, Shaanxi Provincial People's Hospital, No. 256, Youyixi Road, Xi'an, 710068, Shaanxi, China
| | - Qianwei Cui
- Department of Cardiology, Shaanxi Provincial People's Hospital, No. 256, Youyixi Road, Xi'an, 710068, Shaanxi, China
| | - Junkui Wang
- Department of Cardiology, Shaanxi Provincial People's Hospital, No. 256, Youyixi Road, Xi'an, 710068, Shaanxi, China
| | - Fuqiang Liu
- Department of Cardiology, Shaanxi Provincial People's Hospital, No. 256, Youyixi Road, Xi'an, 710068, Shaanxi, China
| | - Ying Lv
- Department of Cardiology, Shaanxi Provincial People's Hospital, No. 256, Youyixi Road, Xi'an, 710068, Shaanxi, China.
| |
Collapse
|
6
|
Ojeda-Rodriguez A, Alcala-Diaz JF, Rangel-Zuñiga OA, Arenas-de Larriva AP, Gutierrez-Mariscal FM, Gómez-Luna P, Torres-Peña JD, Garcia-Rios A, Romero-Cabrera JL, Malagon MM, Perez-Martinez P, Ordovas JM, Delgado-Lista J, Yubero-Serrano EM, Lopez-Miranda J. Association between telomere length and intima-media thickness of both common carotid arteries in patients with coronary heart disease: From the CORDIOPREV randomized controlled trial. Atherosclerosis 2023; 380:117193. [PMID: 37549582 DOI: 10.1016/j.atherosclerosis.2023.117193] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/13/2023] [Revised: 06/23/2023] [Accepted: 07/26/2023] [Indexed: 08/09/2023]
Abstract
BACKGROUND AND AIMS A critical telomere length (TL) is associated with cardiovascular mortality. Dietary habits have been demonstrated to affect cardiovascular risk. However, it remains unclear how exactly TL determines the response to specific dietary approaches in the reduction of arterial injury. We aimed to evaluate whether TL was associated with the progression of arterial injury (assessed by intima-media thickness of both common carotid arteries: IMT-CC), after long-term consumption of two healthy dietary models in patients with coronary heart disease (CHD). METHODS From the 1002 CHD patients of the CORDIOPREV study, 903 completed IMT-CC and TL evaluation at baseline and were randomized to follow a Mediterranean diet or a low-fat diet for 5 years. RESULTS Patients at risk of short TL (TL < 20th percentile) presented an elevated IMT-CC, (0.79 ± 0.17 vs patients at non-risk 0.74 ± 0.17 p < 0.001). TL and IMT-CC showed an inverse association (β = -0.035, p = 0.002). Patients who consumed a Mediterranean diet, regardless of the risk of short TL, showed a significant decrease in IMT-CC, with a higher reduction in those patients with risk of short TL (-0.03 ± 0.11, p = 0.036). TL (β = 0.019, p = 0.024), age (β = -0.001, p = 0.031), energy intake (β = -0.000, p = 0.036), use of statins (β = -0.027, p = 0.028) and allocation into the Mediterranean diet (vs low-fat diet) (β = -0.024, p = 0.003) were significant contributors to changes in IMT-CC. CONCLUSIONS Patients who had a reduced TL exhibited a greater decrease in IMT-CC after consuming a Mediterranean diet.
Collapse
Affiliation(s)
- Ana Ojeda-Rodriguez
- Lipids and Atherosclerosis Unit, Internal Medicine Unit, Reina Sofia University Hospital, 14004, Cordoba, Spain; Department of Medical and Surgical Science, University of Cordoba, 14004, Córdoba, Spain; Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Av. Menendez Pidal, s/n, 14004, Cordoba, Spain; CIBER Fisiopatologia de La Obesidad y Nutricion (CIBEROBN), Instituto de Salud Carlos III, 28029, Madrid, Spain
| | - Juan F Alcala-Diaz
- Lipids and Atherosclerosis Unit, Internal Medicine Unit, Reina Sofia University Hospital, 14004, Cordoba, Spain; Department of Medical and Surgical Science, University of Cordoba, 14004, Córdoba, Spain; Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Av. Menendez Pidal, s/n, 14004, Cordoba, Spain; CIBER Fisiopatologia de La Obesidad y Nutricion (CIBEROBN), Instituto de Salud Carlos III, 28029, Madrid, Spain
| | - Oriol Alberto Rangel-Zuñiga
- Lipids and Atherosclerosis Unit, Internal Medicine Unit, Reina Sofia University Hospital, 14004, Cordoba, Spain; Department of Medical and Surgical Science, University of Cordoba, 14004, Córdoba, Spain; Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Av. Menendez Pidal, s/n, 14004, Cordoba, Spain; CIBER Fisiopatologia de La Obesidad y Nutricion (CIBEROBN), Instituto de Salud Carlos III, 28029, Madrid, Spain
| | - Antonio Pablo Arenas-de Larriva
- Lipids and Atherosclerosis Unit, Internal Medicine Unit, Reina Sofia University Hospital, 14004, Cordoba, Spain; Department of Medical and Surgical Science, University of Cordoba, 14004, Córdoba, Spain; Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Av. Menendez Pidal, s/n, 14004, Cordoba, Spain; CIBER Fisiopatologia de La Obesidad y Nutricion (CIBEROBN), Instituto de Salud Carlos III, 28029, Madrid, Spain
| | - Francisco M Gutierrez-Mariscal
- Lipids and Atherosclerosis Unit, Internal Medicine Unit, Reina Sofia University Hospital, 14004, Cordoba, Spain; Department of Medical and Surgical Science, University of Cordoba, 14004, Córdoba, Spain; Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Av. Menendez Pidal, s/n, 14004, Cordoba, Spain; CIBER Fisiopatologia de La Obesidad y Nutricion (CIBEROBN), Instituto de Salud Carlos III, 28029, Madrid, Spain
| | - Purificación Gómez-Luna
- Lipids and Atherosclerosis Unit, Internal Medicine Unit, Reina Sofia University Hospital, 14004, Cordoba, Spain; Department of Medical and Surgical Science, University of Cordoba, 14004, Córdoba, Spain; Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Av. Menendez Pidal, s/n, 14004, Cordoba, Spain; CIBER Fisiopatologia de La Obesidad y Nutricion (CIBEROBN), Instituto de Salud Carlos III, 28029, Madrid, Spain
| | - Jose D Torres-Peña
- Lipids and Atherosclerosis Unit, Internal Medicine Unit, Reina Sofia University Hospital, 14004, Cordoba, Spain; Department of Medical and Surgical Science, University of Cordoba, 14004, Córdoba, Spain; Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Av. Menendez Pidal, s/n, 14004, Cordoba, Spain; CIBER Fisiopatologia de La Obesidad y Nutricion (CIBEROBN), Instituto de Salud Carlos III, 28029, Madrid, Spain
| | - Antonio Garcia-Rios
- Lipids and Atherosclerosis Unit, Internal Medicine Unit, Reina Sofia University Hospital, 14004, Cordoba, Spain; Department of Medical and Surgical Science, University of Cordoba, 14004, Córdoba, Spain; Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Av. Menendez Pidal, s/n, 14004, Cordoba, Spain; CIBER Fisiopatologia de La Obesidad y Nutricion (CIBEROBN), Instituto de Salud Carlos III, 28029, Madrid, Spain
| | - Juan L Romero-Cabrera
- Lipids and Atherosclerosis Unit, Internal Medicine Unit, Reina Sofia University Hospital, 14004, Cordoba, Spain; Department of Medical and Surgical Science, University of Cordoba, 14004, Córdoba, Spain; Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Av. Menendez Pidal, s/n, 14004, Cordoba, Spain; CIBER Fisiopatologia de La Obesidad y Nutricion (CIBEROBN), Instituto de Salud Carlos III, 28029, Madrid, Spain
| | - Maria M Malagon
- Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Av. Menendez Pidal, s/n, 14004, Cordoba, Spain; Department of Cell Biology, Physiology and Immunology, University of Cordoba, 14004, Cordoba, Spain
| | - Pablo Perez-Martinez
- Lipids and Atherosclerosis Unit, Internal Medicine Unit, Reina Sofia University Hospital, 14004, Cordoba, Spain; Department of Medical and Surgical Science, University of Cordoba, 14004, Córdoba, Spain; Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Av. Menendez Pidal, s/n, 14004, Cordoba, Spain; CIBER Fisiopatologia de La Obesidad y Nutricion (CIBEROBN), Instituto de Salud Carlos III, 28029, Madrid, Spain
| | - Jose M Ordovas
- Nutrition and Genomics Laboratory, J.M.-US Department of Agriculture Human Nutrition Research Center on Aging, At Tufts University, Boston, MA, 02111, USA; IMDEA Alimentacion, Madrid, Spain; CNIC, 28049, Madrid, Spain
| | - Javier Delgado-Lista
- Lipids and Atherosclerosis Unit, Internal Medicine Unit, Reina Sofia University Hospital, 14004, Cordoba, Spain; Department of Medical and Surgical Science, University of Cordoba, 14004, Córdoba, Spain; Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Av. Menendez Pidal, s/n, 14004, Cordoba, Spain; CIBER Fisiopatologia de La Obesidad y Nutricion (CIBEROBN), Instituto de Salud Carlos III, 28029, Madrid, Spain
| | - Elena M Yubero-Serrano
- Lipids and Atherosclerosis Unit, Internal Medicine Unit, Reina Sofia University Hospital, 14004, Cordoba, Spain; Department of Medical and Surgical Science, University of Cordoba, 14004, Córdoba, Spain; Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Av. Menendez Pidal, s/n, 14004, Cordoba, Spain; CIBER Fisiopatologia de La Obesidad y Nutricion (CIBEROBN), Instituto de Salud Carlos III, 28029, Madrid, Spain.
| | - Jose Lopez-Miranda
- Lipids and Atherosclerosis Unit, Internal Medicine Unit, Reina Sofia University Hospital, 14004, Cordoba, Spain; Department of Medical and Surgical Science, University of Cordoba, 14004, Córdoba, Spain; Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Av. Menendez Pidal, s/n, 14004, Cordoba, Spain; CIBER Fisiopatologia de La Obesidad y Nutricion (CIBEROBN), Instituto de Salud Carlos III, 28029, Madrid, Spain.
| |
Collapse
|
7
|
Zhu S, Yang M, Wang T, Ding Z. Causal relationships between telomere length and liver disease: a Mendelian randomization study. Front Genet 2023; 14:1164024. [PMID: 37588048 PMCID: PMC10426290 DOI: 10.3389/fgene.2023.1164024] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2023] [Accepted: 07/13/2023] [Indexed: 08/18/2023] Open
Abstract
Background: Leukocyte telomere length and hepatic disorders have been linked in various research studies, although their causative association has not been clarified. This study investigated the causal relationship between the length of telomeres on peripheral blood leukocytes and certain liver disorders. Methods: Mendelian randomization (MR) analysis was used to examine the relationship between leukocyte telomere length and risk of liver disease using the publicly accessible worldwide gene-wide association study (GWAS) database. The weighted mode, weighted median, and inverse variance weighted (IVW) methods were employed as supplements to the IVW approach, which is the main analytical method. Results: Leukocytes with longer telomeres may have a lower risk of developing cirrhosis [OR = 0.645 (0.524, 0.795), p = 3.977E-05] and a higher chance of developing benign liver tumors [OR = 3.087 (1.721, 5.539), p = 1.567E-04]. There was no direct link between telomere length and fatty liver, hepatic fibrosis, or liver cancer. Our findings in the replication analysis agreed with those of the previous studies. Conclusion: Further research is needed to examine the mechanisms underlying the probable causal association between the length of leukocyte telomeres and cirrhosis and benign liver cancer.
Collapse
Affiliation(s)
| | | | | | - Zhen Ding
- Department of Hepatobiliary Surgery, Chaohu Hospital of Anhui Medical University, Hefei, China
| |
Collapse
|
8
|
Rampersaud R, Wu GWY, Reus VI, Lin J, Blackburn EH, Epel ES, Hough CM, Mellon SH, Wolkowitz OM. Shorter telomere length predicts poor antidepressant response and poorer cardiometabolic indices in major depression. Sci Rep 2023; 13:10238. [PMID: 37353495 PMCID: PMC10290110 DOI: 10.1038/s41598-023-35912-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2022] [Accepted: 05/25/2023] [Indexed: 06/25/2023] Open
Abstract
Telomere length (TL) is a marker of biological aging, and shorter telomeres have been associated with several medical and psychiatric disorders, including cardiometabolic dysregulation and Major Depressive Disorder (MDD). In addition, studies have shown shorter TL to be associated with poorer response to certain psychotropic medications, and our previous work suggested shorter TL and higher telomerase activity (TA) predicts poorer response to Selective Serotonin Reuptake Inhibitor (SSRI) treatment. Using a new group of unmedicated medically healthy individuals with MDD (n = 48), we sought to replicate our prior findings demonstrating that peripheral blood mononuclear cell (PBMC) TL and TA predict response to SSRI treatment and to identify associations between TL and TA with biological stress mediators and cardiometabolic risk indices. Our results demonstrate that longer pre-treatment TL was associated with better response to SSRI treatment (β = .407 p = .007). Additionally, we observed that TL had a negative relationship with allostatic load (β = - .320 p = .017) and a cardiometabolic risk score (β = - .300 p = .025). Our results suggest that PBMC TL reflects, in part, the cumulative effects of physiological stress and cardiovascular risk in MDD and may be a biomarker for predicting SSRI response.
Collapse
Affiliation(s)
- Ryan Rampersaud
- Weill Institute for Neurosciences and Department of Psychiatry and Behavioral Sciences, University of California San Francisco (UCSF) School of Medicine, San Francisco, CA, USA.
| | - Gwyneth W Y Wu
- Weill Institute for Neurosciences and Department of Psychiatry and Behavioral Sciences, University of California San Francisco (UCSF) School of Medicine, San Francisco, CA, USA
| | - Victor I Reus
- Weill Institute for Neurosciences and Department of Psychiatry and Behavioral Sciences, University of California San Francisco (UCSF) School of Medicine, San Francisco, CA, USA
| | - Jue Lin
- Department of Biochemistry and Biophysics, University of California San Francisco (UCSF) School of Medicine, San Francisco, CA, USA
| | - Elizabeth H Blackburn
- Department of Biochemistry and Biophysics, University of California San Francisco (UCSF) School of Medicine, San Francisco, CA, USA
| | - Elissa S Epel
- Weill Institute for Neurosciences and Department of Psychiatry and Behavioral Sciences, University of California San Francisco (UCSF) School of Medicine, San Francisco, CA, USA
| | - Christina M Hough
- Weill Institute for Neurosciences and Department of Psychiatry and Behavioral Sciences, University of California San Francisco (UCSF) School of Medicine, San Francisco, CA, USA
- Department of Psychology, University of California Los Angeles (UCLA), Los Angeles, CA, USA
| | - Synthia H Mellon
- Department of OB-GYN and Reproductive Sciences, UCSF School of Medicine, San Francisco, CA, USA
| | - Owen M Wolkowitz
- Weill Institute for Neurosciences and Department of Psychiatry and Behavioral Sciences, University of California San Francisco (UCSF) School of Medicine, San Francisco, CA, USA
| |
Collapse
|
9
|
Hu Y, Wang X, Huan J, Zhang L, Lin L, Li Y, Li Y. Effect of dietary inflammatory potential on the aging acceleration for cardiometabolic disease: A population-based study. Front Nutr 2022; 9:1048448. [PMID: 36532557 PMCID: PMC9755741 DOI: 10.3389/fnut.2022.1048448] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2022] [Accepted: 11/18/2022] [Indexed: 09/16/2023] Open
Abstract
BACKGROUND/AIM Optimized dietary patterns have been considered an important determinant of delaying aging in cardiometabolic disease (CMD). Dietary pattern with high-level dietary inflammatory potential is a key risk factor for cardiometabolic disease, and has drawn increasing attention. The aim of this study was to investigate whether dietary pattern with high dietary inflammatory potential was associated with aging acceleration in cardiometabolic disease. MATERIALS AND METHODS We analyzed the cross-sectional data from six survey cycles (1999-2000, 2001-2002, 2003-2004, 2005-2006, 2007-2008, and 2009-2010) of the National Health and Nutritional Examination Surveys (NHANES). A total of 16,681 non-institutionalized adults and non-pregnant females with CMD were included in this study. Dietary inflammatory index (DII) was used to assess the dietary inflammatory potential. The two age acceleration biomarkers were calculated by the residuals from regressing chronologic age on Klemera-Doubal method biological age (KDM BioAge) or Phenotypic Age (PhenoAge), termed "KDMAccel" and "PhenoAgeAccel." A multivariable linear regression accounting for multistage survey design and sampling weights was used in different models to investigate the association between DII and aging acceleration. Four sensitivity analyses were used to ensure the robustness of our results. Besides, we also analyzed the anti-aging effects of DASH-type dietary pattern and "Life's Simple 7". RESULTS For 16,681 participants with CMD, compared with the first tertile of DII after adjusting for all potential confounders, the patients with second tertile of DII showed a 1.02-years increase in KDMAccel and 0.63-years increase in PhenoAgeAccel (KDMAccel, β = 1.02, 95% CI = 0.64 to 1.41, P < 0.001; PhenoAgeAccel, β = 0.63, 95% CI = 0.44 to 0.82, P < 0.001), while the patients with the third tertile of DII showed a 1.48-years increase in KDMAccel and 1.22-years increase in PhenoAgeAccel (KDMAccel, β = 1.48, 95% CI = 1.02 to 1.94, P < 0.001; PhenoAgeAccel, β = 1.22, 95% CI = 1.01 to 1.43, P < 0.001). In addition, DASH-type dietary pattern was associated with a 0.57-years reduction in KDMAccel (β = -0.57, 95% CI = -1.08 to -0.06, P = 0.031) and a 0.54-years reduction in PhenoAgeAccel (β = -0.54, 95% CI = -0.80 to -0.28, P < 0.001). The each one-unit increase in CVH score was associated with a 1.58-years decrease in KDMAccel (β = -1.58, 95% CI = -1.68 to -1.49, P < 0.001) and a 0.36-years in PhenoAgeAccel (β = -0.36, 95% CI = -0.41 to -0.31, P < 0.001). CONCLUSION Among CMD, the dietary pattern with high dietary inflammatory potential was association with aging acceleration, and the anti-aging potential of DASH-type dietary pattern and "Life's Simple 7" should also be given attention, but these observations require future prospective validation.
Collapse
Affiliation(s)
- Yuanlong Hu
- First Clinical Medical College, Shandong University of Traditional Chinese Medicine, Jinan, Shandong, China
- Shandong Province Engineering Laboratory of Traditional Chinese Medicine Precise Diagnosis and Treatment of Cardiovascular Disease, Shandong University of Traditional Chinese Medicine, Jinan, Shandong, China
| | - Xiaojie Wang
- Shandong Province Engineering Laboratory of Traditional Chinese Medicine Precise Diagnosis and Treatment of Cardiovascular Disease, Shandong University of Traditional Chinese Medicine, Jinan, Shandong, China
- Faculty of Chinese Medicine, Macau University of Science and Technology, Taipa, Macau, China
| | - Jiaming Huan
- College of Traditional Chinese Medicine, Shandong University of Traditional Chinese Medicine, Jinan, China
| | - Lei Zhang
- Shandong Province Engineering Laboratory of Traditional Chinese Medicine Precise Diagnosis and Treatment of Cardiovascular Disease, Shandong University of Traditional Chinese Medicine, Jinan, Shandong, China
- College of Traditional Chinese Medicine, Shandong University of Traditional Chinese Medicine, Jinan, China
| | - Lin Lin
- Shandong Province Engineering Laboratory of Traditional Chinese Medicine Precise Diagnosis and Treatment of Cardiovascular Disease, Shandong University of Traditional Chinese Medicine, Jinan, Shandong, China
- Innovative Institute of Chinese Medicine and Pharmacy, Shandong University of Traditional Chinese Medicine, Jinan, China
| | - Yuan Li
- Experimental Center, Shandong University of Traditional Chinese Medicine, Jinan, Shandong, China
- Key Laboratory of Traditional Chinese Medicine Classical Theory, Ministry of Education, Shandong University of Traditional Chinese Medicine, Jinan, Shandong, China
- Shandong Provincial Key Laboratory of Traditional Chinese Medicine for Basic Research, Shandong University of Traditional Chinese Medicine, Jinan, Shandong, China
| | - Yunlun Li
- First Clinical Medical College, Shandong University of Traditional Chinese Medicine, Jinan, Shandong, China
- Shandong Province Engineering Laboratory of Traditional Chinese Medicine Precise Diagnosis and Treatment of Cardiovascular Disease, Shandong University of Traditional Chinese Medicine, Jinan, Shandong, China
- Department of Cardiovascular, Affiliated Hospital of Shandong University of Traditional Chinese Medicine, Jinan, Shandong, China
| |
Collapse
|
10
|
Deng Y, Li Q, Zhou F, Li G, Liu J, Lv J, Li L, Chang D. Telomere length and the risk of cardiovascular diseases: A Mendelian randomization study. Front Cardiovasc Med 2022; 9:1012615. [PMID: 36352846 PMCID: PMC9637552 DOI: 10.3389/fcvm.2022.1012615] [Citation(s) in RCA: 18] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2022] [Accepted: 09/26/2022] [Indexed: 11/15/2022] Open
Abstract
Background The causal direction and magnitude of the associations between telomere length (TL) and cardiovascular diseases (CVDs) remain uncertain due to susceptibility of reverse causation and confounding. This study aimed to investigate the associations between TL and CVDs using Mendelian randomization (MR). Materials and methods In this two-sample MR study, we identified 154 independent TL-associated genetic variants from a genome-wide association study (GWAS) consisting of 472,174 individuals (aged 40-69) in the UK Biobank. Summary level data of CVDs were obtained from different GWASs datasets. Methods of inverse variance weighted (IVW), Mendelian Randomization-Egger (MR-Egger), Mendelian Randomization robust adjusted profile score (MR-RAPS), maximum likelihood estimation, weighted mode, penalized weighted mode methods, and Mendelian randomization pleiotropy residual sum and outlier test (MR-PRESSO) were conducted to investigate the associations between TL and CVDs. Results Our findings indicated that longer TL was significantly associated with decreased risk of coronary atherosclerosis [odds ratio (OR), 0.85; 95% confidence interval (CI), 0.75-0.95; P = 4.36E-03], myocardial infarction (OR, 0.72; 95% CI, 0.63-0.83; P = 2.31E-06), ischemic heart disease (OR, 0.87; 95% CI, 0.78-0.97; P = 1.01E-02), stroke (OR, 0.87; 95% CI, 0.79-0.95; P = 1.60E-03), but an increased risk of hypertension (OR, 1.12; 95% CI, 1.02-1.23; P = 2.00E-02). However, there was no significant association between TL and heart failure (OR, 0.94; 95% CI, 0.87-1.01; P = 1.10E-01), atrial fibrillation (OR, 1.01; 95% CI, 0.93-1.11; P = 7.50E-01), or cardiac death (OR, 0.95; 95% CI, 0.82-1.10; P = 4.80E-01). Both raw and outlier corrected estimates from MR-PRESSO were consistent with those of IVW results. The sensitivity analyses showed no evidence of pleiotropy (MR-Egger intercept, P > 0.05), while Cochran's Q test and MR-Egger suggested different degrees of heterogeneity. Conclusion Our MR study suggested that longer telomeres were associated with decreased risk of several CVDs, including coronary atherosclerosis, myocardial infarction, ischemic heart disease, and stroke, as well as an increased risk of hypertension. Future studies are still warranted to validate the results and investigate the mechanisms underlying these associations.
Collapse
Affiliation(s)
| | | | | | | | | | | | | | - Dong Chang
- Department of Cardiology, Xiamen Cardiovascular Hospital, School of Medicine, Xiamen University, Xiamen, China
| |
Collapse
|
11
|
Khosravaniardakani S, Bokov DO, Mahmudiono T, Hashemi SS, Nikrad N, Rabieemotmaen S, Abbasalizad-Farhangi M. Obesity Accelerates Leukocyte Telomere Length Shortening in Apparently Healthy Adults: A Meta-Analysis. Front Nutr 2022; 9:812846. [PMID: 35719148 PMCID: PMC9199514 DOI: 10.3389/fnut.2022.812846] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2021] [Accepted: 01/20/2022] [Indexed: 01/07/2023] Open
Abstract
Background Shorter telomere length is associated with numerous comorbidities. Several studies have investigated the role of obesity in telomere shortening. In the current systematic review and meta-analysis, we summarized the results of studies that evaluated the association between obesity and telomere length. Methods A systematic search from Scopus, PubMed, Embase, and ProQuest electronic databases up to 19 March 2021 without language restriction was performed and after data extraction and screening, 19 manuscripts were eligible to be included in the final meta-synthesis. Results The highest category of telomere length was associated with an approximate 0.75 kg/m2 reduction in body mass index (BMI; WMD = -0.75 kg/m2; CI = -1.19, -0.31; p < 0.001; I 2 = 99.4%). Moreover, overweight/obese individuals had 0.036 kbp shorter telomere length compared with non-overweight/obese adults (WMD = -0.036; CI = -0.05, -0.02; p = 0.030; I 2 = 100%). According to the results of subgroupings, continent, age, and sample size could be possible sources of heterogeneity. Conclusion From the results, it was clear that obesity was associated with shorter telomere length. Because of the observational design of included studies, the causality inference of results should be done with caution; thus, further longitudinal studies are warranted for better inference of causal association.
Collapse
Affiliation(s)
| | - Dmitry Olegovich Bokov
- Institute of Pharmacy, Sechenov First Moscow State Medical University, Moscow, Russia
- Laboratory of Food Chemistry, Federal Research Center of Nutrition, Biotechnology and Food Safety, Moscow, Russia
| | - Trias Mahmudiono
- Department of Nutrition, Faculty of Public Health, Universitas Airlangga, Surabaya, Indonesia
| | - Seyedeh Sedigheh Hashemi
- Department of Nutrition, School of Health and Nutrition, Bushehr University of Medical Sciences, Bushehr, Iran
| | - Negin Nikrad
- Student Research Committee, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Shadi Rabieemotmaen
- Department of Biology, East Tehran Branch, Islamic Azad University, Tehran, Iran
| | | |
Collapse
|
12
|
Chen L, Tan KML, Gong M, Chong MFF, Tan KH, Chong YS, Meaney MJ, Gluckman PD, Eriksson JG, Karnani N. Variability in newborn telomere length is explained by inheritance and intrauterine environment. BMC Med 2022; 20:20. [PMID: 35073935 PMCID: PMC8787951 DOI: 10.1186/s12916-021-02217-9] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/07/2021] [Accepted: 12/14/2021] [Indexed: 12/02/2022] Open
Abstract
BACKGROUND Telomere length (TL) and its attrition are important indicators of physiological stress and biological aging and hence may vary among individuals of the same age. This variation is apparent even in newborns, suggesting potential effects of parental factors and the intrauterine environment on TL of the growing fetus. METHODS Average relative TLs of newborns (cord tissue, N = 950) and mothers (buffy coat collected at 26-28 weeks of gestation, N = 892) were measured in a birth cohort. This study provides a comprehensive analysis of the effects of heritable factors, socioeconomic status, and in utero exposures linked with maternal nutrition, cardiometabolic health, and mental well-being on the newborn TL. The association between maternal TL and antenatal maternal health was also studied. RESULTS Longer maternal TL (β = 0.14, P = 1.99E-05) and higher paternal age (β = 0.10, P = 3.73E-03) were positively associated with newborn TL. Genome-wide association studies on newborn and maternal TLs identified 6 genetic variants in a strong linkage disequilibrium on chromosome 3q26.2 (Tag SNP-LRRC34-rs10936600: Pmeta = 5.95E-08). Mothers with higher anxiety scores, elevated fasting blood glucose, lower plasma insulin-like growth factor-binding protein 3 and vitamin B12 levels, and active smoking status during pregnancy showed a higher risk of giving birth to offspring with shorter TL. There were sex-related differences in the factors explaining newborn TL variation. Variation in female newborn TL was best explained by maternal TL, mental health, and plasma vitamin B12 levels, while that in male newborn TL was best explained by paternal age, maternal education, and metabolic health. Mother's TL was associated with her own metabolic health and nutrient status, which may have transgenerational effects on offspring TL. CONCLUSIONS Our findings provide a comprehensive understanding of the heritable and environmental factors and their relative contributions to the initial setting of TL and programing of longevity in early life. This study provides valuable insights for preventing in utero telomere attrition by improving the antenatal health of mothers via targeting the modifiable factors. TRIAL REGISTRATION ClinicalTrials.gov , NCT01174875. Registered on 1 July 2010.
Collapse
Affiliation(s)
- Li Chen
- Singapore Institute for Clinical Sciences, A*STAR, Singapore, Singapore.
| | | | - Min Gong
- Singapore Institute for Clinical Sciences, A*STAR, Singapore, Singapore
| | - Mary F F Chong
- Singapore Institute for Clinical Sciences, A*STAR, Singapore, Singapore.,Saw Swee Hock School of Public Health, National University of Singapore (NUS), Singapore, Singapore
| | - Kok Hian Tan
- KK Women's and Children's Hospital, Singapore, Singapore
| | - Yap Seng Chong
- Singapore Institute for Clinical Sciences, A*STAR, Singapore, Singapore.,Department of Obstetrics and Gynaecology and Human Potential Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Michael J Meaney
- Singapore Institute for Clinical Sciences, A*STAR, Singapore, Singapore.,Sackler Program for Epigenetics & Psychobiology at McGill University, Montréal, Canada.,Ludmer Centre for Neuroinformatics and Mental Health, Douglas Mental Health University Institute, McGill University, Montréal, Canada
| | - Peter D Gluckman
- Singapore Institute for Clinical Sciences, A*STAR, Singapore, Singapore.,Centre for Human Evolution, Adaptation and Disease, Liggins Institute, University of Auckland, Auckland, New Zealand
| | - Johan G Eriksson
- Singapore Institute for Clinical Sciences, A*STAR, Singapore, Singapore.,Ludmer Centre for Neuroinformatics and Mental Health, Douglas Mental Health University Institute, McGill University, Montréal, Canada.,Folkhalsan Research Center, Helsinki, Finland.,Department of General Practice and Primary Health Care, University of Helsinki, Helsinki, Finland
| | - Neerja Karnani
- Singapore Institute for Clinical Sciences, A*STAR, Singapore, Singapore. .,Bioinformatics Institute, A*STAR, Singapore, Singapore. .,Department of Biochemistry, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
| |
Collapse
|
13
|
Taub MA, Conomos MP, Keener R, Iyer KR, Weinstock JS, Yanek LR, Lane J, Miller-Fleming TW, Brody JA, Raffield LM, McHugh CP, Jain D, Gogarten SM, Laurie CA, Keramati A, Arvanitis M, Smith AV, Heavner B, Barwick L, Becker LC, Bis JC, Blangero J, Bleecker ER, Burchard EG, Celedón JC, Chang YPC, Custer B, Darbar D, de las Fuentes L, DeMeo DL, Freedman BI, Garrett ME, Gladwin MT, Heckbert SR, Hidalgo BA, Irvin MR, Islam T, Johnson WC, Kaab S, Launer L, Lee J, Liu S, Moscati A, North KE, Peyser PA, Rafaels N, Seidman C, Weeks DE, Wen F, Wheeler MM, Williams LK, Yang IV, Zhao W, Aslibekyan S, Auer PL, Bowden DW, Cade BE, Chen Z, Cho MH, Cupples LA, Curran JE, Daya M, Deka R, Eng C, Fingerlin TE, Guo X, Hou L, Hwang SJ, Johnsen JM, Kenny EE, Levin AM, Liu C, Minster RL, Naseri T, Nouraie M, Reupena MS, Sabino EC, Smith JA, Smith NL, Lasky-Su J, Taylor JG, Telen MJ, Tiwari HK, Tracy RP, White MJ, Zhang Y, Wiggins KL, Weiss ST, Vasan RS, Taylor KD, Sinner MF, Silverman EK, Shoemaker MB, Sheu WHH, Sciurba F, Schwartz DA, Rotter JI, Roden D, Redline S, Raby BA, Psaty BM, Peralta JM, Palmer ND, Nekhai S, Montgomery CG, Mitchell BD, Meyers DA, McGarvey ST, Mak AC, Loos RJ, Kumar R, Kooperberg C, Konkle BA, Kelly S, Kardia SL, Kaplan R, He J, Gui H, Gilliland FD, Gelb BD, Fornage M, Ellinor PT, de Andrade M, Correa A, Chen YDI, Boerwinkle E, Barnes KC, Ashley-Koch AE, Arnett DK, Albert C, Laurie CC, Abecasis G, Nickerson DA, Wilson JG, Rich SS, Levy D, Ruczinski I, Aviv A, Blackwell TW, Thornton T, O’Connell J, Cox NJ, Perry JA, Armanios M, Battle A, Pankratz N, Reiner AP, Mathias RA. Genetic determinants of telomere length from 109,122 ancestrally diverse whole-genome sequences in TOPMed. CELL GENOMICS 2022; 2:S2666-979X(21)00105-1. [PMID: 35530816 PMCID: PMC9075703 DOI: 10.1016/j.xgen.2021.100084] [Citation(s) in RCA: 28] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/19/2020] [Revised: 09/03/2021] [Accepted: 12/10/2021] [Indexed: 01/16/2023]
Abstract
Genetic studies on telomere length are important for understanding age-related diseases. Prior GWAS for leukocyte TL have been limited to European and Asian populations. Here, we report the first sequencing-based association study for TL across ancestrally-diverse individuals (European, African, Asian and Hispanic/Latino) from the NHLBI Trans-Omics for Precision Medicine (TOPMed) program. We used whole genome sequencing (WGS) of whole blood for variant genotype calling and the bioinformatic estimation of telomere length in n=109,122 individuals. We identified 59 sentinel variants (p-value <5×10-9) in 36 loci associated with telomere length, including 20 newly associated loci (13 were replicated in external datasets). There was little evidence of effect size heterogeneity across populations. Fine-mapping at OBFC1 indicated the independent signals colocalized with cell-type specific eQTLs for OBFC1 (STN1). Using a multi-variant gene-based approach, we identified two genes newly implicated in telomere length, DCLRE1B (SNM1B) and PARN. In PheWAS, we demonstrated our TL polygenic trait scores (PTS) were associated with increased risk of cancer-related phenotypes.
Collapse
Affiliation(s)
- Margaret A. Taub
- Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Matthew P. Conomos
- Department of Biostatistics, School of Public Health, University of Washington, Seattle, WA, USA
| | - Rebecca Keener
- Department of Biomedical Engineering, Johns Hopkins Whiting School of Engineering, Baltimore, MD, USA
| | - Kruthika R. Iyer
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Joshua S. Weinstock
- Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, MI, USA
- Center for Statistical Genetics, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Lisa R. Yanek
- GeneSTAR Research Program, Department of Medicine, Johns Hopkins School of Medicine, Baltimore, MD, USA
| | - John Lane
- Department of Laboratory Medicine & Pathology, University of Minnesota, Minneapolis, MN, USA
| | - Tyne W. Miller-Fleming
- Department of Medicine, Division of Genetic Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Jennifer A. Brody
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA
| | - Laura M. Raffield
- Department of Genetics, University of North Carolina, Chapel Hill, Chapel Hill, NC, USA
| | - Caitlin P. McHugh
- Department of Biostatistics, School of Public Health, University of Washington, Seattle, WA, USA
| | - Deepti Jain
- Department of Biostatistics, School of Public Health, University of Washington, Seattle, WA, USA
| | - Stephanie M. Gogarten
- Department of Biostatistics, School of Public Health, University of Washington, Seattle, WA, USA
| | - Cecelia A. Laurie
- Department of Biostatistics, School of Public Health, University of Washington, Seattle, WA, USA
| | - Ali Keramati
- Department of Cardiology, Johns Hopkins School of Medicine, Baltimore, MD, USA
| | - Marios Arvanitis
- Department of Medicine, Division of Cardiology, Johns Hopkins School of Medicine, Baltimore, MD, USA
| | - Albert V. Smith
- Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, MI, USA
- Center for Statistical Genetics, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Benjamin Heavner
- Department of Biostatistics, School of Public Health, University of Washington, Seattle, WA, USA
| | - Lucas Barwick
- LTRC Data Coordinating Center, The Emmes Company, LLC, Rockville, MD, USA
| | - Lewis C. Becker
- GeneSTAR Research Program, Department of Medicine, Johns Hopkins School of Medicine, Baltimore, MD, USA
| | - Joshua C. Bis
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA
| | - John Blangero
- Department of Human Genetics and South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine, Brownsville, TX, USA
| | - Eugene R. Bleecker
- Department of Medicine, Division of Genetics, Genomics, and Precision Medicine, University of Arizona, Tucson, AZ, USA
- Division of Pharmacogenomics, University of Arizona, Tucson, AZ, USA
| | - Esteban G. Burchard
- Department of Medicine, University of California, San Francisco, San Francisco, CA, USA
- Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco, San Francisco, CA, USA
| | - Juan C. Celedón
- Division of Pediatric Pulmonary Medicine, UPMC Children’s Hospital of Pittsburgh, University of Pittsburgh, Pittsburgh, PA, USA
| | - Yen Pei C. Chang
- Department of Medicine, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Brian Custer
- Vitalant Research Institute, San Francisco, CA, USA
- Department of Laboratory Medicine, University of California, San Francisco, San Francisco, CA, USA
| | - Dawood Darbar
- Division of Cardiology, University of Illinois at Chicago, Chicago, IL, USA
| | - Lisa de las Fuentes
- Cardiovascular Division, Department of Medicine, Washington University School of Medicine in St. Louis, St. Louis, MO, USA
| | - Dawn L. DeMeo
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Barry I. Freedman
- Department of Internal Medicine, Section on Nephrology, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Melanie E. Garrett
- Department of Medicine and Duke Comprehensive Sickle Cell Center, Duke University Medical Center, Durham, NC, USA
- Duke Molecular Physiology Institute, Duke University Medical Center, Durham, NC, USA
| | - Mark T. Gladwin
- Department of Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Susan R. Heckbert
- Cardiovascular Health Research Unit and Department of Epidemiology, University of Washington, Seattle, WA, USA
- Kaiser Permanente Washington Health Research Institute, Seattle, WA, USA
| | - Bertha A. Hidalgo
- Department of Epidemiology, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Marguerite R. Irvin
- Department of Epidemiology, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Talat Islam
- Division of Environmental Health, Department of Population and Public Health Sciences, University of Southern California, Los Angeles, CA, USA
| | - W. Craig Johnson
- Department of Biostatistics, Collaborative Health Studies Coordinating Center, University of Washington, Seattle, WA, USA
| | - Stefan Kaab
- Department of Medicine I, University Hospital Munich, Ludwig-Maximilian’s University, Munich, Germany
- German Centre for Cardiovascular Research (DZHK), partner site Munich Heart Alliance, Munich, Germany
| | - Lenore Launer
- Laboratory of Epidemiology and Population Science, National Institute on Aging, National Institutes of Health, Bethesda, MD, USA
| | - Jiwon Lee
- Department of Medicine, Division of Sleep and Circadian Disorders, Brigham and Women’s Hospital, Boston, MA, USA
| | - Simin Liu
- Department of Epidemiology and Brown Center for Global Cardiometabolic Health, Brown University, Providence, RI, USA
| | - Arden Moscati
- The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Kari E. North
- Department of Epidemiology, University of North Carolina, Chapel Hill, Chapel Hill, NC, USA
| | - Patricia A. Peyser
- Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Nicholas Rafaels
- Department of Medicine, University of Colorado Denver, Anschutz Medical Campus, Aurora, CO, USA
| | | | - Daniel E. Weeks
- Department of Human Genetics, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA, USA
- Department of Biostatistics, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA, USA
| | - Fayun Wen
- Center for Sickle Cell Disease and Department of Medicine, College of Medicine, Howard University, Washington, DC 20059, USA
| | - Marsha M. Wheeler
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
| | - L. Keoki Williams
- Center for Individualized and Genomic Medicine Research (CIGMA), Department of Internal Medicine, Henry Ford Health System, Detroit, MI, USA
| | - Ivana V. Yang
- Department of Medicine, University of Colorado Denver, Anschutz Medical Campus, Aurora, CO, USA
| | - Wei Zhao
- Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Stella Aslibekyan
- Department of Epidemiology, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Paul L. Auer
- Zilber School of Public Health, University of Wisconsin, Milwaukee, Milwaukee, WI, USA
| | - Donald W. Bowden
- Department of Biochemistry, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Brian E. Cade
- Harvard Medical School, Boston, MA, USA
- Division of Sleep Medicine, Department of Medicine, Brigham and Women’s Hospital, Boston, MA, USA
| | - Zhanghua Chen
- Division of Environmental Health, Department of Population and Public Health Sciences, University of Southern California, Los Angeles, CA, USA
| | - Michael H. Cho
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital, Boston, MA, USA
| | - L. Adrienne Cupples
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
- The National Heart, Lung, and Blood Institute, Boston University’s Framingham Heart Study, Framingham, MA, USA
| | - Joanne E. Curran
- Department of Human Genetics and South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine, Brownsville, TX, USA
| | - Michelle Daya
- Department of Medicine, University of Colorado Denver, Anschutz Medical Campus, Aurora, CO, USA
| | - Ranjan Deka
- Department of Environmental and Public Health Sciences, University of Cincinnati, Cincinnati, OH, USA
| | - Celeste Eng
- Department of Medicine, University of California, San Francisco, San Francisco, CA, USA
| | - Tasha E. Fingerlin
- Center for Genes, Environment, and Health, National Jewish Health, Denver, CO, USA
- Department of Biostatistics and Informatics, University of Colorado, Denver, Aurora, CO, USA
| | - Xiuqing Guo
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Lifang Hou
- Department of Preventive Medicine, Northwestern University, Chicago, IL, USA
| | - Shih-Jen Hwang
- Population Sciences Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Jill M. Johnsen
- Bloodworks Northwest Research Institute, Seattle, WA, USA
- University of Washington, Department of Medicine, Seattle, WA, USA
| | - Eimear E. Kenny
- The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Center for Genomic Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Albert M. Levin
- Department of Public Health Sciences, Henry Ford Health System, Detroit, MI, USA
| | - Chunyu Liu
- The National Heart, Lung, and Blood Institute, Boston University’s Framingham Heart Study, Framingham, MA, USA
- The Population Sciences Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, Bethesda, MD, USA
| | - Ryan L. Minster
- Department of Human Genetics, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA, USA
| | - Take Naseri
- Ministry of Health, Government of Samoa, Apia, Samoa
- Department of Epidemiology & International Health Institute, School of Public Health, Brown University, Providence, RI, USA
| | - Mehdi Nouraie
- Department of Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | | | - Ester C. Sabino
- Instituto de Medicina Tropical da Faculdade de Medicina da Universidade de São Paulo, São Paulo, Brazil
| | - Jennifer A. Smith
- Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Nicholas L. Smith
- Cardiovascular Health Research Unit and Department of Epidemiology, University of Washington, Seattle, WA, USA
- Kaiser Permanente Washington Health Research Institute, Seattle, WA, USA
| | - Jessica Lasky-Su
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - James G. Taylor
- Center for Sickle Cell Disease and Department of Medicine, College of Medicine, Howard University, Washington, DC 20059, USA
| | - Marilyn J. Telen
- Department of Medicine and Duke Comprehensive Sickle Cell Center, Duke University Medical Center, Durham, NC, USA
- Duke Comprehensive Sickle Cell Center, Duke University Medical Center, Durham, NC, USA
| | - Hemant K. Tiwari
- Department of Biostatistics, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Russell P. Tracy
- Departments of Pathology & Laboratory Medicine and Biochemistry, Larrner College of Medicine, University of Vermont, Colchester, VT, USA
| | - Marquitta J. White
- Department of Medicine, University of California, San Francisco, San Francisco, CA, USA
| | - Yingze Zhang
- Department of Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Kerri L. Wiggins
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA
| | - Scott T. Weiss
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Ramachandran S. Vasan
- The National Heart, Lung, and Blood Institute, Boston University’s Framingham Heart Study, Framingham, MA, USA
- Department of Epidemiology, Boston University School of Public Health, Boston, MA, USA
| | - Kent D. Taylor
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Moritz F. Sinner
- Department of Medicine I, University Hospital Munich, Ludwig-Maximilian’s University, Munich, Germany
- German Centre for Cardiovascular Research (DZHK), partner site Munich Heart Alliance, Munich, Germany
| | - Edwin K. Silverman
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - M. Benjamin Shoemaker
- Departments of Medicine, Pharmacology, and Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Wayne H.-H. Sheu
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Taichung Veterans General Hospital, Taichung, Taiwan
| | - Frank Sciurba
- Division of Pulmonary, Allergy, and Critical Care Medicine, University of Pittsburgh, Pittsburgh, PA, USA
| | - David A. Schwartz
- Department of Medicine, University of Colorado Denver, Anschutz Medical Campus, Aurora, CO, USA
| | - Jerome I. Rotter
- Institute for Translational Genomics and Population Sciences, Departments of Pediatrics and Medicine, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Daniel Roden
- Department of Medicine, Vanderbilt University School of Medicine, Nashville, TN, USA
| | - Susan Redline
- Division of Sleep Medicine, Department of Medicine, Brigham and Women’s Hospital, Boston, MA, USA
- Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
| | - Benjamin A. Raby
- Division of Pulmonary and Critical Care Medicine, Brigham and Women’s Hospital, Boston, MA, USA
- Division of Pulmonary Medicine, Boston Children’s Hospital, Boston, MA, USA
| | - Bruce M. Psaty
- Cardiovascular Health Research Unit, Departments of Medicine, Epidemiology, and Health Services, University of Washington, Seattle, WA, USA
| | - Juan M. Peralta
- Department of Human Genetics and South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine, Brownsville, TX, USA
| | - Nicholette D. Palmer
- Department of Biochemistry, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Sergei Nekhai
- Center for Sickle Cell Disease and Department of Medicine, College of Medicine, Howard University, Washington, DC 20059, USA
| | - Courtney G. Montgomery
- Genes and Human Disease Research Program, Oklahoma Medical Research Foundation, Oklahoma City, OK, USA
| | - Braxton D. Mitchell
- Department of Medicine, University of Maryland School of Medicine, Baltimore, MD, USA
- Geriatrics Research and Education Clinical Center, Baltimore Veterans Administration Medical Center, Baltimore, MD, USA
| | - Deborah A. Meyers
- Department of Medicine, Division of Genetics, Genomics, and Precision Medicine, University of Arizona, Tucson, AZ, USA
- Division of Pharmacogenomics, University of Arizona, Tucson, AZ, USA
| | - Stephen T. McGarvey
- Department of Epidemiology & International Health Institute, School of Public Health, Brown University, Providence, RI, USA
| | | | - Angel C.Y. Mak
- Department of Medicine, University of California, San Francisco, San Francisco, CA, USA
| | - Ruth J.F. Loos
- The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- The Mindich Child Health and Development Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Rajesh Kumar
- Division of Allergy and Clinical Immunology, The Ann and Robert H. Lurie Children’s Hospital of Chicago, and Department of Pediatrics, Northwestern University, Chicago, IL, USA
| | - Charles Kooperberg
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Barbara A. Konkle
- Bloodworks Northwest Research Institute, Seattle, WA, USA
- University of Washington, Department of Medicine, Seattle, WA, USA
| | - Shannon Kelly
- Vitalant Research Institute, San Francisco, CA, USA
- UCSF Benioff Children’s Hospital, Oakland, CA, USA
| | - Sharon L.R. Kardia
- Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Robert Kaplan
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Jiang He
- Department of Medicine, Tulane University School of Medicine, New Orleans, LA, USA
| | - Hongsheng Gui
- Center for Individualized and Genomic Medicine Research (CIGMA), Department of Internal Medicine, Henry Ford Health System, Detroit, MI, USA
| | - Frank D. Gilliland
- Division of Environmental Health, Department of Population and Public Health Sciences, University of Southern California, Los Angeles, CA, USA
| | - Bruce D. Gelb
- Mindich Child Health and Development Institute, Departments of Pediatrics and Genetics & Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Myriam Fornage
- Brown Foundation Institute of Molecular Medicine, McGovern Medical School, University of Texas Health Science Center at Houston, Houston, TX, USA
- Human Genetics Center, School of Public Health, University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Patrick T. Ellinor
- Cardiology Division, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Mariza de Andrade
- Division of Biomedical Statistics and Informatics, Mayo Clinic, Rochester, MN, USA
| | - Adolfo Correa
- Jackson Heart Study and Departments of Medicine and Population Health Science, Jackson, MS, USA
| | - Yii-Der Ida Chen
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Eric Boerwinkle
- Human Genetics Center, Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Kathleen C. Barnes
- Department of Medicine, University of Colorado Denver, Anschutz Medical Campus, Aurora, CO, USA
| | - Allison E. Ashley-Koch
- Department of Medicine and Duke Comprehensive Sickle Cell Center, Duke University Medical Center, Durham, NC, USA
- Duke Molecular Physiology Institute, Duke University Medical Center, Durham, NC, USA
| | - Donna K. Arnett
- College of Public Health, University of Kentucky, Lexington, KY, USA
| | - Christine Albert
- Harvard Medical School, Boston, MA, USA
- Division of Cardiovascular Medicine, Brigham and Women’s Hospital, Boston, MA, USA
| | | | | | | | - Cathy C. Laurie
- Department of Biostatistics, School of Public Health, University of Washington, Seattle, WA, USA
| | - Goncalo Abecasis
- Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, MI, USA
- Regeneron Pharmaceuticals, Tarrytown, NY, USA
| | | | - James G. Wilson
- Department of Physiology and Biophysics, University of Mississippi Medical Center, Jackson, MI, USA
| | - Stephen S. Rich
- Center for Public Health Genomics, Department of Public Health Sciences, University of Virginia, Charlottesville, VA, USA
| | - Daniel Levy
- The National Heart, Lung, and Blood Institute, Boston University’s Framingham Heart Study, Framingham, MA, USA
- The Population Sciences Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, Bethesda, MD, USA
| | - Ingo Ruczinski
- Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Abraham Aviv
- Center of Human Development and Aging, Rutgers New Jersey Medical School, Newark, NJ, USA
| | - Thomas W. Blackwell
- Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, MI, USA
- Center for Statistical Genetics, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Timothy Thornton
- Department of Biostatistics, University of Washington, Seattle, WA, USA
| | - Jeff O’Connell
- Division of Endocrinology, Diabetes, and Nutrition, Department of Medicine, University of Maryland School of Medicine, Baltimore, MD, USA
- Program for Personalized and Genomic Medicine, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Nancy J. Cox
- Vanderbilt Genetics Institute and Division of Genetic Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - James A. Perry
- Department of Medicine, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Mary Armanios
- Department of Oncology, Johns Hopkins School of Medicine, Baltimore, MD, USA
| | - Alexis Battle
- Department of Biomedical Engineering, Johns Hopkins Whiting School of Engineering, Baltimore, MD, USA
- Departments of Computer Science and Genetic Medicine, Johns Hopkins University, Baltimore, MD, USA
| | - Nathan Pankratz
- Department of Laboratory Medicine & Pathology, University of Minnesota, Minneapolis, MN, USA
| | - Alexander P. Reiner
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
- Department of Epidemiology, University of Washington, Seattle, WA, USA
| | - Rasika A. Mathias
- GeneSTAR Research Program, Department of Medicine, Johns Hopkins School of Medicine, Baltimore, MD, USA
| |
Collapse
|
14
|
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.
Collapse
|
15
|
Discrimination and Leukocyte Telomere Length by Depressive Symptomatology: The Jackson Heart Study. Healthcare (Basel) 2021; 9:healthcare9060639. [PMID: 34071160 PMCID: PMC8226992 DOI: 10.3390/healthcare9060639] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2021] [Revised: 05/23/2021] [Accepted: 05/24/2021] [Indexed: 11/17/2022] Open
Abstract
Background: Psychosocial stressors, such as perceived discrimination and depressive symptoms, may shorten telomeres and exacerbate aging-related illnesses. Methods: Participants from the Jackson Heart Study at visit 1 (2000–2004) with LTL data and Center for Epidemiological Studies-Depression (CES-D) scores (n = 580 men, n = 910 women) were utilized. The dimensions of discrimination scores (everyday, lifetime, burden of lifetime, and stress from lifetime discrimination) were standardized and categorized as low, moderate, and high. Coping responses to everyday and lifetime discrimination were categorized as passive and active coping. Multivariable linear regression analyses were performed to estimate the mean difference (standard errors-SEs) in LTL by dimensions of discrimination and coping responses stratified by CES-D scores < 16 (low) and ≥ 16 (high) and sex. Covariates were age, education, waist circumference, smoking and CVD status. Results: Neither everyday nor lifetime discrimination was associated with mean differences in LTL for men or women by levels of depressive symptoms. Burden of lifetime discrimination was marginally associated with LTL among women who reported low depressive symptoms after full adjustment (b = 0.11, SE = 0.06, p = 0.08). Passive coping with lifetime discrimination was associated with longer LTL among men who reported low depressive symptoms after full adjustment (b = 0.18, SE = 0.09, p < 0.05); and active coping with lifetime discrimination was associated with longer LTL among men who reported high depressive symptoms after full adjustment (b = 1.18, SE = 0.35, p < 0.05). Conclusions: The intersection of perceived discrimination and depressive symptomatology may be related to LTL, and the effects may vary by sex.
Collapse
|
16
|
Lee HH, Okuzono SS, Kim ES, De Vivo I, Raffield LM, Glover L, Sims M, Grodstein F, Kubzansky LD. Optimism and telomere length among African American adults in the Jackson Heart Study. Psychoneuroendocrinology 2021; 125:105124. [PMID: 33434830 PMCID: PMC8052931 DOI: 10.1016/j.psyneuen.2020.105124] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/03/2020] [Revised: 11/20/2020] [Accepted: 12/27/2020] [Indexed: 11/30/2022]
Abstract
BACKGROUND Optimism is linked with greater longevity in both White and African American populations. Optimism may enhance longevity by slowing cellular aging, for which leukocyte telomere shortening is a biomarker. However, limited studies have examined the association of optimism with leukocyte telomere length among African Americans. METHODS Data are from 723 men and 1244 women participating in the Jackson Heart Study (age = 21-93 years). We used multivariable linear regression models to conduct cross-sectional analyses examining whether higher optimism was associated with longer mean absolute leukocyte telomere length (assayed with Southern blot analysis). Models adjusted for sociodemographic characteristics, depressive symptomatology, health conditions, and health behavior-related factors. We also considered potential effect modification by key factors. RESULTS In the age-adjusted model, optimism, measured as a continuous variable, was not associated with leukocyte telomere length (β = 0.01, 95%CI: -0.02, 0.04). This association remained null in the fully-adjusted model (β = 0.02, 95%CI: -0.02, 0.05) and was also null when considering optimism as a binary measure (higher vs. lower optimism). We found no evidence of effect modification by sex, age, body mass index, income, or chronic conditions. CONCLUSIONS Optimism was not associated with leukocyte telomere length among African American adults. Future studies should investigate alternate biological and behavioral mechanisms that may explain the optimism-health association.
Collapse
Affiliation(s)
- Harold H. Lee
- Department of Social and Behavioral Sciences, Harvard T. H. Chan School of Public Health (Address: 677 Huntington Ave, Boston, MA 02115)
| | - Sakurako S. Okuzono
- Department of Social and Behavioral Sciences, Harvard T. H. Chan School of Public Health (Address: 677 Huntington Ave, Boston, MA 02115)
| | - Eric S. Kim
- Department of Psychology, University of British Columbia (Address: 2136 West Mall, Vancouver, BC V6T 1Z4, Canada)
| | - Immaculata De Vivo
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA, (Address: 677 Huntington Ave, Boston, MA 02115)
| | - Laura M. Raffield
- Department of Genetics, University of North Carolina at Chapel Hill (Address: Genetic Medicine Building, 120 Mason Farm Rd, Chapel Hill, NC 27514)
| | - LáShauntá Glover
- Department of Epidemiology, University of North Carolina at Chapel Hill (Address: 135 Dauer Dr, Chapel Hill, NC 27599)
| | - Mario Sims
- Department of Medicine, University of Mississippi Medical Center (Address: 2500 N State St, Jackson, MS 39216)
| | - Francine Grodstein
- Rush Alzheimer’s Disease Center (Address: 600 South Paulina Street, Suite 1028, Chicago, IL 60612)
| | - Laura D. Kubzansky
- Department of Social and Behavioral Sciences, Harvard T. H. Chan School of Public Health (Address: 677 Huntington Ave, Boston, MA 02115)
| |
Collapse
|
17
|
Li Y, Cheang I, Zhang Z, Yao W, Zhou Y, Zhang H, Liu Y, Zuo X, Li X, Cao Q. Prognostic Association of TERC, TERT Gene Polymorphism, and Leukocyte Telomere Length in Acute Heart Failure: A Prospective Study. Front Endocrinol (Lausanne) 2021; 12:650922. [PMID: 33763035 PMCID: PMC7982721 DOI: 10.3389/fendo.2021.650922] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/08/2021] [Accepted: 02/01/2021] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND Telomere length and telomerase are associated in development of cardiovascular diseases. Study aims to investigate the associations of TERC and TERT gene polymorphism and leukocyte telomere length (LTL) in the prognosis of acute heart failure (AHF). METHODS Total 322 patients with AHF were enrolled and divided into death and survival group according to all-cause mortality within 18 months. Seven single nucleotide polymorphisms (SNPs) of TERC and TERT were selected. Baseline characteristics, genotype distribution and polymorphic allele frequency, and genetic model were initially analyzed. Genotypes and the LTL were determined for further analysis. RESULTS Compared to carrying homozygous wild genotype, the risk of death in patients with mutated alleles of four SNPs- rs12696304(G>C), rs10936599(T>C), rs1317082(G>A), and rs10936601(T>C) of TERC were significantly higher. The dominant models of above were independently associated with mortality. In recessive models, rs10936599 and rs1317082 of TERC, rs7726159 of TERT were independently associated with long-term mortality. Further analysis showed, in haplotype consisting with TERC - rs12696304, rs10936599, rs1317082, and rs10936601, mutant alleles CCAC and wild alleles GTGT were significant difference between groups (P<0.05). CCAC is a risk factor and GTGT is a protective factor for AHF patients. Relative LTL decreased over age, but showed no difference between groups and genotypes. CONCLUSIONS The SNPs of TERC and TERT are associated with the prognosis of AHF, and are the independent risk factors for predicting 18-month mortality in AHF.
Collapse
Affiliation(s)
- Yanxiu Li
- Department of Critical Care Medicine, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Iokfai Cheang
- Department of Cardiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Zhongwen Zhang
- Department of General Surgery, The Affiliated Jiangning Hospital of Nanjing Medical University, Nanjing, China
| | - Wenming Yao
- Department of Cardiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Yanli Zhou
- Department of Cardiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Haifeng Zhang
- Department of Cardiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Yun Liu
- Department of Critical Care Medicine, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Xiangrong Zuo
- Department of Critical Care Medicine, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Xinli Li
- Department of Cardiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
- *Correspondence: Quan Cao, ; Xinli Li,
| | - Quan Cao
- Department of Critical Care Medicine, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
- *Correspondence: Quan Cao, ; Xinli Li,
| |
Collapse
|
18
|
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.
Collapse
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
| |
Collapse
|
19
|
Sun Y, Wang W, Jiao YR, Ren J, Gao L, Li Y, Hu P, Ren TY, Han QF, Chen C, Yao HC. Leukocyte telomere length: a potential biomarker for the prognosis of coronary artery disease. Biomark Med 2020; 14:933-941. [PMID: 32613841 DOI: 10.2217/bmm-2020-0171] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2020] [Accepted: 06/10/2020] [Indexed: 11/21/2022] Open
Abstract
Aim: This study aimed to explore the prognostic value of leukocyte telomere length (LTL) in patients with coronary artery disease (CAD). Materials & methods: We enrolled 366 CAD patients and 76 healthy subjects in this study. LTL was measured. All subjects were followed up for 6 months for further analysis regarding major adverse cardiac events (MACEs). Results: CAD patients had a significantly shortened LTL compared with healthy subjects (p < 0.05). The area under the curve for LTL prediction of MACEs was 0.769 (p < 0.001), with a shorter LTL being an independent predictor of MACEs (Cox proportional hazards regression, hazard ratio: 2.866; p < 0.001). Conclusion: LTL could be considered as an independent predictor of short-term MACEs in CAD.
Collapse
Affiliation(s)
- Ying Sun
- Department of Cardiology, Liaocheng People's Hospital, Cheeloo college of Medicine, Shandong University & Clinical School of Shandong First Medical University, Liaocheng, Shandong Province, 252000, China
| | - Wei Wang
- Department of Cardiology, Liaocheng People's Hospital, Cheeloo college of Medicine, Shandong University & Clinical School of Shandong First Medical University, Liaocheng, Shandong Province, 252000, China
| | - Yue-Ru Jiao
- Department of Cardiology, Liaocheng People's Hospital, Cheeloo college of Medicine, Shandong University & Clinical School of Shandong First Medical University, Liaocheng, Shandong Province, 252000, China
| | - Jian Ren
- Department of Cardiology, Liaocheng Dongchangfu People's Hospital, The second affiliated Hospital of Liaocheng University, Liaocheng, 252000, China
| | - Lei Gao
- Zhong Yuan Academy of Biological Medicine, Liaocheng People's Hospital, Shandong University, Liaocheng, Shandong Province, 252000, China
| | - Yang Li
- Zhong Yuan Academy of Biological Medicine, Liaocheng People's Hospital, Shandong University, Liaocheng, Shandong Province, 252000, China
| | - Ping Hu
- Zhong Yuan Academy of Biological Medicine, Liaocheng People's Hospital, Shandong University, Liaocheng, Shandong Province, 252000, China
| | - Tian-Ying Ren
- Zhong Yuan Academy of Biological Medicine, Liaocheng People's Hospital, Shandong University, Liaocheng, Shandong Province, 252000, China
| | - Qian-Feng Han
- Department of Cardiology, Liaocheng People's Hospital, Cheeloo college of Medicine, Shandong University & Clinical School of Shandong First Medical University, Liaocheng, Shandong Province, 252000, China
| | - Chen Chen
- Department of Urology, Liaocheng People's Hospital, Cheeloo college of Medicine, Shandong University & Clinical School of Shandong First Medical University, Liaocheng, Shandong Province, 252000, China
| | - Heng-Chen Yao
- Department of Cardiology, Liaocheng People's Hospital, Cheeloo college of Medicine, Shandong University & Clinical School of Shandong First Medical University, Liaocheng, Shandong Province, 252000, China
| |
Collapse
|
20
|
Fazzini F, Lamina C, Raschenberger J, Schultheiss UT, Kotsis F, Schönherr S, Weissensteiner H, Forer L, Steinbrenner I, Meiselbach H, Bärthlein B, Wanner C, Eckardt KU, Köttgen A, Kronenberg F. Results from the German Chronic Kidney Disease (GCKD) study support association of relative telomere length with mortality in a large cohort of patients with moderate chronic kidney disease. Kidney Int 2020; 98:488-497. [PMID: 32641227 DOI: 10.1016/j.kint.2020.02.034] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2019] [Revised: 02/12/2020] [Accepted: 02/20/2020] [Indexed: 02/08/2023]
Abstract
Telomere length is known to be inversely associated with aging and has been proposed as a marker for aging-related diseases. Telomere attrition can be accelerated by oxidative stress and inflammation, both commonly present in patients with chronic kidney disease. Here, we investigated whether relative telomere length is associated with mortality in a large cohort of patients with chronic kidney disease stage G3 and A1-3 or G1-2 with overt proteinuria (A3) at enrollment. Relative telomere length was quantified in peripheral blood by a quantitative PCR method in 4,955 patients from the GCKD study, an ongoing prospective observational cohort. Complete four-year follow-up was available from 4,926 patients in whom we recorded 354 deaths. Relative telomere length was a strong and independent predictor of all-cause mortality. Each decrease of 0.1 relative telomere length unit was highly associated with a 14% increased risk of death (hazard ratio1.14 [95% confidence interval 1.06-1.22]) in a model adjusted for age, sex, baseline eGFR, urine albumin/creatinine ratio, diabetes mellitus, prevalent cardiovascular disease, LDL-cholesterol, HDL-cholesterol, smoking, body mass index, systolic and diastolic blood pressure, C-reactive protein and serum albumin. This translated to a 75% higher risk for those in the lowest compared to the highest quartile of relative telomere length. The association was mainly driven by 117 cardiovascular deaths (1.20 [1.05-1.35]) as well as 67 deaths due to infections (1.27 [1.07-1.50]). Thus, our findings support an association of shorter telomere length with all-cause mortality, cardiovascular mortality and death due to infections in patients with moderate chronic kidney disease.
Collapse
Affiliation(s)
- Federica Fazzini
- Institute of Genetic Epidemiology, Department of Genetics and Pharmacology, Medical University of Innsbruck, Innsbruck, Austria
| | - Claudia Lamina
- Institute of Genetic Epidemiology, Department of Genetics and Pharmacology, Medical University of Innsbruck, Innsbruck, Austria
| | - Julia Raschenberger
- Institute of Genetic Epidemiology, Department of Genetics and Pharmacology, Medical University of Innsbruck, Innsbruck, Austria
| | - Ulla T Schultheiss
- Institute of Genetic Epidemiology, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany; Renal Division, Department of Medicine IV, Medical Center-University of Freiburg, Faculty of Medicine, Freiburg, Germany
| | - Fruzsina Kotsis
- Institute of Genetic Epidemiology, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany; Renal Division, Department of Medicine IV, Medical Center-University of Freiburg, Faculty of Medicine, Freiburg, Germany
| | - Sebastian Schönherr
- Institute of Genetic Epidemiology, Department of Genetics and Pharmacology, Medical University of Innsbruck, Innsbruck, Austria
| | - Hansi Weissensteiner
- Institute of Genetic Epidemiology, Department of Genetics and Pharmacology, Medical University of Innsbruck, Innsbruck, Austria
| | - Lukas Forer
- Institute of Genetic Epidemiology, Department of Genetics and Pharmacology, Medical University of Innsbruck, Innsbruck, Austria
| | - Inga Steinbrenner
- Institute of Genetic Epidemiology, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany
| | - Heike Meiselbach
- Department of Nephrology and Hypertension, Friedrich-Alexander Universität Erlangen-Nürnberg (FAU), Erlangen, Germany
| | - Barbara Bärthlein
- Medical Centre for Information and Communication Technology (MIK), University Hospital Erlangen, Erlangen, Germany
| | - Christoph Wanner
- Division of Nephrology, Department of Internal Medicine I, University Hospital Würzburg, Würzburg, Germany
| | - Kai-Uwe Eckardt
- Department of Nephrology and Hypertension, Friedrich-Alexander Universität Erlangen-Nürnberg (FAU), Erlangen, Germany; Department of Nephrology and Medical Intensive Care, Charité-Universitätsmedizin Berlin, Berlin, Germany
| | - Anna Köttgen
- Institute of Genetic Epidemiology, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany
| | - Florian Kronenberg
- Institute of Genetic Epidemiology, Department of Genetics and Pharmacology, Medical University of Innsbruck, Innsbruck, Austria.
| | | |
Collapse
|
21
|
Higher chocolate intake is associated with longer telomere length among adolescents. Pediatr Res 2020; 87:602-607. [PMID: 31574531 DOI: 10.1038/s41390-019-0590-6] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/28/2019] [Revised: 08/26/2019] [Accepted: 08/29/2019] [Indexed: 11/09/2022]
Abstract
BACKGROUND Chocolate intake has shown cardiometabolic health benefits. Whether chocolate has any effect on cellular aging remains unknown. We aimed to test the hypothesis that higher chocolate intake is associated with longer leukocyte telomere length (LTL) in adolescents. METHODS A total of 660 adolescents (aged 14-18 years) were included in the analysis. The chocolate intake was assessed by 7-day, 24-h dietary recalls and split into three groups, which were none, <2 servings/week, and 2 servings/week or more. LTL (T/S ratio) was determined by a modified quantitative polymerase chain reaction-based assay. RESULTS Among the 660 adolescents, 58% did not take any chocolate, 25% consumed <2 servings/week, and 17% consumed ≥2 servings/week. Compared to non-consumers, adolescents who consumed chocolate of ≥2 servings/week had 0.27 standard deviation (SD) longer LTL (p = 0.014). Higher chocolate consumption was associated with increased apolipoprotein A1 (ApoA1) (p = 0.038) and ApoA1/high-density lipoprotein (HDL) (p = 0.046). Moreover, higher ApoA1/HDL levels were correlated with longer LTL (p = 0.026). CONCLUSION Adolescents who consume 2 servings/week or more of chocolate candy have longer LTL compared with non-consumers, and ApoA1/HDL pathway may be involved in this relationship.
Collapse
|
22
|
Association between leucocyte telomere length and cardiovascular disease in a large general population in the United States. Sci Rep 2020; 10:80. [PMID: 31919463 PMCID: PMC6952450 DOI: 10.1038/s41598-019-57050-1] [Citation(s) in RCA: 26] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2019] [Accepted: 12/21/2019] [Indexed: 12/12/2022] Open
Abstract
Leucocyte telomere length (LTL) has been reported to be linked to ageing, cancer and cardiovascular disease (CVD). This study aimed to explore the association between LTL and CVD risk in a nationally representative sample of U.S. adults. Complex associations, including nonlinearity and interaction, were also examined. A total of 7,378 subjects from the National Health and Nutrition Examination Survey (NHANES) 1999-2002 were collected. Telomere length was detected from DNA samples and expressed as the mean T/S ratio (telomere repeats per single-copy gene). We performed multiple logistic regression models and interactive analysis to explore the associations between LTL and CVD risk by adjusting for potential confounders. We also performed a sensitivity analysis to investigate the robustness of our results. Among all participants, LTL was associated with the risk of CVD (OR = 0.79, 95% CI: 0.63~0.98, P = 0.033) in a linear manner rather than in a nonlinear manner (P = 0.874). Interaction effects of LTL with both education (P = 0.017) and hypertension (P = 0.007) were observed. Furthermore, using subgroup analyses, protective effects of LTL on CVD risk were found in females and in individuals who were college graduates or above, had serum cotinine >10 ng/ml, did not have hypertension, or had normal white blood cell levels. LTL is linearly inversely associated with CVD risk in the general population of the United States.
Collapse
|
23
|
Powell-Wiley TM, Gebreab SY, Claudel SE, Ayers C, Andrews MR, Adu-Brimpong J, Berrigan D, Davis SK. The relationship between neighborhood socioeconomic deprivation and telomere length: The 1999-2002 National Health and Nutrition Examination Survey. SSM Popul Health 2019; 10:100517. [PMID: 31872036 PMCID: PMC6909179 DOI: 10.1016/j.ssmph.2019.100517] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2019] [Revised: 11/13/2019] [Accepted: 11/14/2019] [Indexed: 12/29/2022] Open
Abstract
Socioeconomically disadvantaged neighborhoods have been associated with poor health outcomes. Little is known about the biological mechanism by which deprived neighborhood conditions exert negative influences on health. Data from the 1999–2002 National Health and Nutrition Examination Surveys (NHANES) were used to assess the relationship between neighborhood deprivation index (NDI) and log-transformed leukocyte telomere length (LTL) via multilevel modeling to control for census tract level clustering. Models were constructed using tertiles of NDI (ref = low NDI). NDI was calculated using census tract level socioeconomic indicators from the 2000 U.S. Census. The sample (n = 5,106 adults) was 49.8% female and consisted of 82.9% non-Hispanic whites, 9.4% non-Hispanic blacks, and 7.6% Mexican Americans. Mean age was 45.8 years. Residents of neighborhoods with high NDI were younger, non-white, had lower educational attainment, and had a lower poverty to income ratio (all p < 0.0001). Neighborhood deprivation was inversely associated with LTL among individuals living in neighborhoods with medium NDI (β = −0.043, SE = 0.012, p = 0.0005) and high NDI (β = −0.039, SE = 0.013, p = 0.003). Among men, both medium (β = −0.042, SE = 0.015, p = 0.006) and high (β = −0.047, SE = 0.015, p = 0.001) NDI were associated with shorter LTL. Among women, only medium NDI (β = −0.020, SE = 0.016, p = 0.009) was associated with shorter LTL. After controlling for individual characteristics, including individual-level socioeconomic status, increasing neighborhood socioeconomic deprivation is associated with shorter LTL among a nationally representative sample of US adults. This suggests that telomere shortening may be a mechanism through which neighborhood deprivation results in poor health outcomes. Neighborhood deprivation is inversely related to telomere length. This persists after adjusting for behavior and individual socioeconomic status. Telomere shortening in high deprivation represented 7.5 years of accelerated aging. Telomere shortening may be a mechanism linking neighborhoods and health.
Collapse
Affiliation(s)
- Tiffany M. Powell-Wiley
- National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
- National Institute on Minority Health and Health Disparities, National Institutes of Health, Bethesda, MD, USA
- Corresponding author. Social Determinants of Obesity and Cardiovascular Risk Laboratory, Cardiovascular Branch, DIR, NHLBI, Building 10-CRC, Room 5-5332, MSC 1454 10 Center Drive, Bethesda, MD, 20892, USA.
| | - Samson Y. Gebreab
- National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Sophie E. Claudel
- National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Colby Ayers
- Reynolds Cardiovascular Clinical Research Center, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Marcus R. Andrews
- National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Joel Adu-Brimpong
- National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - David Berrigan
- National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Sharon K. Davis
- National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| |
Collapse
|
24
|
The association of mean telomere length with all-cause, cerebrovascular and cardiovascular mortality. Biosci Rep 2019; 39:220736. [PMID: 31647542 PMCID: PMC6822529 DOI: 10.1042/bsr20192306] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2019] [Revised: 09/17/2019] [Accepted: 10/07/2019] [Indexed: 01/09/2023] Open
Abstract
Mean telomere length (MLT) is a marker of cell aging and may associate with age-related diseases. However, the relationship between MLT and mortality risk remains unclear. We aimed to investigate the relationship between MLT and all-cause, cerebrovascular and cardiovascular mortality among adults in United States. We analyzed data were from National Health and Nutrition Examination Survey (NHANES, 1999–2002) with follow-up data through 31 December 2015. Based on MLT, participants were categorized into low, middle and high groups. Multivariate Cox proportional hazards regression, subgroup analysis and generalized additive model (GAM) were performed by using hazard ratios (HRs) and 95% confidence intervals (CIs). A total of 7827 participants were included in analysis (48.18% male). After 158.26 months of follow-up on average, there were 1876 (23.97%), 87 (1.11%) and 243 (3.10%) onset of all-cause, cerebrovascular and cardiovascular mortality. After adjustment for potential confounders, using the low group as the reference, HRs for all-cause (0.87 and 0.86), cerebrovascular (0.75 and 0.75) and cardiovascular mortality (1.01 and 0.69) for the middle to high groups were not statistically significant (all P>0.05 for trend). MLT was non-linearly related to all-cause mortality but not to cerebrovascular and cardiovascular mortality. It was the first study to demonstrate the non-linear relationship between MLT and all-cause mortality.
Collapse
|
25
|
Smith JA, Raisky J, Ratliff SM, Liu J, Kardia SLR, Turner ST, Mosley TH, Zhao W. Intrinsic and extrinsic epigenetic age acceleration are associated with hypertensive target organ damage in older African Americans. BMC Med Genomics 2019; 12:141. [PMID: 31640709 PMCID: PMC6806502 DOI: 10.1186/s12920-019-0585-5] [Citation(s) in RCA: 26] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2018] [Accepted: 09/11/2019] [Indexed: 12/22/2022] Open
Abstract
Background Epigenetic age acceleration, a measure of biological aging based on DNA methylation, is associated with cardiovascular mortality. However, little is known about its relationship with hypertensive target organ damage to the heart, kidneys, brain, and peripheral arteries. Methods We investigated associations between intrinsic (IEAA) or extrinsic (EEAA) epigenetic age acceleration, blood pressure, and six types of organ damage in a primarily hypertensive cohort of 1390 African Americans from the Genetic Epidemiology Network of Arteriopathy (GENOA) study. DNA methylation from peripheral blood leukocytes was collected at baseline (1996–2000), and measures of target organ damage were assessed in a follow-up visit (2000–2004). Linear regression with generalized estimating equations was used to test for associations between epigenetic age acceleration and target organ damage, as well as effect modification of epigenetic age by blood pressure or sex. Sequential Oligogenic Linkage Analysis Routines (SOLAR) was used to test for evidence of shared genetic and/or environmental effects between epigenetic age acceleration and organ damage pairs that were significantly associated. Results After adjustment for sex, chronological age, and time between methylation and organ damage measures, higher IEAA was associated with higher urine albumin to creatinine ratio (UACR, p = 0.004), relative wall thickness (RWT, p = 0.022), and left ventricular mass index (LVMI, p = 0.007), and with lower ankle-brachial index (ABI, p = 0.014). EEAA was associated with higher LVMI (p = 0.005). Target organ damage associations for all but IEAA with LVMI remained significant after further adjustment for blood pressure and antihypertensive use (p < 0.05). Further adjustment for diabetes attenuated the IEAA associations with UACR and RWT, and adjustment for smoking attenuated the IEAA association with ABI. No effect modification by age or sex was observed. Conclusions Measures of epigenetic age acceleration may help to better characterize the functional mechanisms underlying organ damage from cellular aging and/or hypertension. These measures may act as subclinical biomarkers for damage to the kidney, heart, and peripheral vasculature; however more research is needed to determine whether these relationships remain independent of lifestyle factors and comorbidities.
Collapse
Affiliation(s)
- Jennifer A Smith
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, 48109, USA. .,Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, MI, 48104, USA.
| | - Jeremy Raisky
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, 48109, USA
| | - Scott M Ratliff
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, 48109, USA
| | - Jiaxuan Liu
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, 48109, USA
| | - Sharon L R Kardia
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, 48109, USA
| | - Stephen T Turner
- Division of Nephrology and Hypertension, Mayo Clinic, Rochester, MN, 55905, USA
| | - Thomas H Mosley
- Memory Impairment and Neurodegenerative Dementia (MIND) Center, University of Mississippi Medical Center, Jackson, MS, 39126, USA
| | - Wei Zhao
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, 48109, USA
| |
Collapse
|
26
|
Subedi P, Nembrini S, An Q, Zhu Y, Peng H, Yeh F, Cole SA, Rhoades DA, Lee ET, Zhao J. Telomere length and cancer mortality in American Indians: the Strong Heart Study. GeroScience 2019; 41:351-361. [PMID: 31230193 DOI: 10.1007/s11357-019-00080-4] [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] [Received: 02/08/2019] [Accepted: 06/13/2019] [Indexed: 10/26/2022] Open
Abstract
The objective of this study was to investigate whether leukocyte telomere length (LTL) predicts the risk for cancer mortality among American Indians participating in the Strong Heart Study (1989-1991). Participants (aged 45-74 years) were followed annually until December 2015 to collect information on morbidity/mortality. LTL was measured by qPCR using genomic DNA isolated from peripheral blood. The association between LTL and risk for cancer mortality was examined using a multivariable Cox proportional hazard model, adjusting for age, gender, education, study site, smoking, alcohol use, physical activity, systolic blood pressure, fasting blood glucose, obesity, and low- and high-density lipoprotein. Of 1945 participants (mean age 56.10 ± 8.17 at baseline, 57% women) followed for an average 20.5 years, 220 died of cancer. Results showed that longer LTL at baseline significantly predicts an increased risk of cancer death among females (HR 1.57, 95% CI 1.08-2.30), but not males (HR 0.74, 95% CI 0.49-1.12) (p for interaction 0.009). Specifically, compared with the women with the longest LTL (fourth quartile), those in the third, second, and first quartiles showed 53%, 41%, and 44% reduced risk for cancer death, respectively. The findings highlight the importance of sex-specific analysis in future telomere research.
Collapse
Affiliation(s)
- Pooja Subedi
- Department of Epidemiology, College of Public Health and Health Professions, College of Medicine, University of Florida, 2004 Mowry Road, Gainesville, FL, 32610, USA
| | - Stefano Nembrini
- Department of Epidemiology, College of Public Health and Health Professions, College of Medicine, University of Florida, 2004 Mowry Road, Gainesville, FL, 32610, USA
| | - Qiang An
- Department of Orthopaedics and Rehabilitation, University of Iowa Health Care, University of Iowa Hospitals and Clinics, 200 Hawkins Drive, 01066 JPP, Iowa City, IA, 52242, USA
| | - Yun Zhu
- Department of Epidemiology, College of Public Health and Health Professions, College of Medicine, University of Florida, 2004 Mowry Road, Gainesville, FL, 32610, USA
| | - Hao Peng
- Department of Epidemiology, College of Public Health and Health Professions, College of Medicine, University of Florida, 2004 Mowry Road, Gainesville, FL, 32610, USA.,Department of Epidemiology, School of Public Health, Medical College of Soochow University, Suzhou, China
| | - Fawn Yeh
- College of Public Health, University of Oklahoma Health Sciences Center, 801 N.E. 13th Street, Oklahoma City, OK, 73104, USA
| | - Shelley A Cole
- Texas Biomedical Research Institute, San Antonio, TX, 78245, USA
| | - Dorothy A Rhoades
- Stephenson Cancer Center, University of Oklahoma Health Sciences Center, 655 Research Parkway, Oklahoma City, OK, 73104, USA
| | - Elisa T Lee
- College of Public Health, University of Oklahoma Health Sciences Center, 801 N.E. 13th Street, Oklahoma City, OK, 73104, USA
| | - Jinying Zhao
- Department of Epidemiology, College of Public Health and Health Professions, College of Medicine, University of Florida, 2004 Mowry Road, Gainesville, FL, 32610, USA.
| |
Collapse
|
27
|
Differences in Leukocyte Telomere Length between Coronary Heart Disease and Normal Population: A Multipopulation Meta-Analysis. BIOMED RESEARCH INTERNATIONAL 2019; 2019:5046867. [PMID: 31198785 PMCID: PMC6526555 DOI: 10.1155/2019/5046867] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/31/2019] [Accepted: 04/14/2019] [Indexed: 12/19/2022]
Abstract
Coronary heart disease (CHD) is one of the most common causes of death in the world. Numerous studies have shown that as the degree of atherosclerotic disease increases, leukocyte telomere length gradually decreases. Short telomeres increase the risk of all-cause death and cardiovascular death. However, the reported results are not consistent, since the experimental design method, the measurement method, and the disease outcome are different. Therefore, we searched five major literature databases (Pubmed, Web of science, Embase, CNKI, and Wangfang) and finally included 18 eligible articles (including 5,150 patients with CHD and 9341 controls). We found that telomere length in patients with CHD was significantly shorter than that in controls, and the telomere length was inversely correlated with the severity of CHD. Subgroup analysis showed that telomere shortening was the most significant in Asian patients with CHD, in CHD patients with an average age <65 years, and in men with CHD. The mechanism of shortening the telomere length leading to the occurrence and development of CHD is worthy of further study.
Collapse
|
28
|
Jin X, Pan B, Dang X, Wu H, Xu D. Relationship between short telomere length and stroke: A meta-analysis. Medicine (Baltimore) 2018; 97:e12489. [PMID: 30278538 PMCID: PMC6181515 DOI: 10.1097/md.0000000000012489] [Citation(s) in RCA: 26] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/06/2018] [Accepted: 08/27/2018] [Indexed: 01/18/2023] Open
Abstract
BACKGROUND Several epidemiological studies had been carried out in different population cohorts to estimate the relationship between the shortened telomere length and stroke. However, the results still remained dispute. Consequently, we conducted this meta-analysis to estimate the relationship between them. METHODS PubMed, EMBASE, and Web of Science were systematically searched for related articles to evaluate the association between "stroke" and "telomere length. STATA 12.0 software was used to perform the meta-analysis. The Cochran Q test and inconsistency index (I) were used to assess the heterogeneity. Begg funnel plot and Egger test were used to assess publication bias. RESULTS The meta-analysis was composed of 11 studies, consisting of 25,340 participants. We found a significant relationship between shortened telomere length and stroke (OR: 1.50, 95% CI: 1.13-2.0; P = .005); however, in the prospective and retrospective study subgroup, we did not find a statistical significant relationship between shortened telomere length and stroke (the prospective subgroup: OR: 1.41, 95% CI: 1-1.98; P = .051) (the retrospective subgroup: OR: 1.89, 95% CI: 0.96-3.72; P = .067).
Collapse
Affiliation(s)
- Xiao Jin
- Second School of Clinical Medicine, Guangzhou University of Chinese Medicine
| | - Biqi Pan
- GuangDong women and children Hospital
| | - Xiaojing Dang
- Department of Cardiology, Second Affiliated Hospital, Guangzhou University of Chinese Medicine (Guangdong Provincial Hospital of Chinese Medicine), China
| | - Huanlin Wu
- Beijing University of Chinese Medicine, Beijing
| | - Danping Xu
- Department of Cardiology, Second Affiliated Hospital, Guangzhou University of Chinese Medicine (Guangdong Provincial Hospital of Chinese Medicine), China
| |
Collapse
|
29
|
Mwasongwe S, Min YI, Booth JN, Katz R, Sims M, Correa A, Young B, Muntner P. Masked hypertension and kidney function decline: the Jackson Heart Study. J Hypertens 2018; 36:1524-1532. [PMID: 29601413 PMCID: PMC5990961 DOI: 10.1097/hjh.0000000000001727] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Abstract
BACKGROUND Hypertension diagnosed by blood pressure (BP) measured in the clinic is associated with rapid kidney function decline (RKFD) and incident chronic kidney disease (CKD). The extent to which hypertension defined using out-of-clinic BP measurements is associated with these outcomes is unclear. METHODS We evaluated the association of any masked hypertension (daytime SBP/DBP ≥ 135/85 mmHg, night-time SBP/DBP ≥ 120/70 mmHg or 24-h SBP/DBP ≥ 130/80 mmHg) with RKFD and incident CKD among 676 African-Americans in the Jackson Heart Study with clinic-measured SBP/DBP less than 140/90 mmHg who completed ambulatory BP monitoring in 2000-2004. RKFD was defined as a decline in estimated glomerular filtration rate (eGFR) at least 30% and incident CKD was defined as development of eGFR less than 60 ml/min per 1.73 m with an at least 25% decline in eGFR between 2000-2004 and 2009-2013. RESULTS The mean age of participants was 57.6 years, 28.8% were men and 52.7% had any masked hypertension. After a median follow-up of 8 years, 13.8 and 8.6% of participants had RKFD and incident CKD, respectively. In unadjusted analyses, masked hypertension was associated with an increased odds for incident CKD [odds ratio (OR) 2.20, 95% confidence interval (CI) 1.22, 3.97]. This association remained statistically significant after adjustment for demographic characteristics, baseline eGFR and albumin-to-creatinine ratio (OR 1.95, 95% CI 1.04, 3.67) but was eliminated after propensity score adjustment (OR 1.62, 95% CI 0.87, 3.00). There was no association between masked hypertension and RKFD. CONCLUSION Masked hypertension may be associated with the development of CKD in African-Americans.
Collapse
Affiliation(s)
| | - Yuan-I Min
- University of Mississippi Medical Center, Jackson Heart Study, Jackson, Mississippi
| | - John N. Booth
- Department of Epidemiology, University of Alabama at Birmingham, Birmingham, Alabama
| | - Ronit Katz
- Division of Nephrology, Kidney Research Institute, University of Washington
| | - Mario Sims
- University of Mississippi Medical Center, Jackson Heart Study, Jackson, Mississippi
| | - Adolfo Correa
- University of Mississippi Medical Center, Jackson Heart Study, Jackson, Mississippi
| | - Bessie Young
- Division of Nephrology, Kidney Research Institute, University of Washington
- Veterans Affairs Puget Sound Healthcare System, Seattle, Washington, USA
| | - Paul Muntner
- Department of Epidemiology, University of Alabama at Birmingham, Birmingham, Alabama
| |
Collapse
|
30
|
Mwasongwe SE, Fülöp T, Katz R, Musani SK, Sims M, Correa A, Flessner MF, Young BA. Relation of uric acid level to rapid kidney function decline and development of kidney disease: The Jackson Heart Study. J Clin Hypertens (Greenwich) 2018; 20:775-783. [PMID: 29450959 PMCID: PMC6022371 DOI: 10.1111/jch.13239] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2017] [Revised: 01/08/2018] [Accepted: 01/12/2018] [Indexed: 01/13/2023]
Abstract
Whether elevated uric acid (UA) is an independent risk factor for chronic kidney disease (CKD) is not well established. The authors evaluated the relationship of UA with rapid kidney function decline (RKFD) and incident CKD among 3702 African Americans (AAs) in the Jackson Heart Study with serum UA levels measured at baseline exam (2000-2004). RKFD was defined as ≥ 30% eGFR loss and incident CKD as development of eGFR < 60 mL/min/1.73 m2 with a ≥ 25% decline in eGFR between baseline and exam 3 (2009-2013). RKFD and CKD were found in 11.4% and 7.5% of the participants, respectively. In a fully adjusted model, the odds of RKFD (OR, 1.8; 95% CI, 1.25-2.49) and incident CKD (OR, 2.00; 95% CI, 1.31-3.06) were significantly higher among participants in the top UA quartile vs bottom quartile. In the JHS, elevated UA was significantly associated with RKFD and incident CKD.
Collapse
Affiliation(s)
| | - Tibor Fülöp
- Department of MedicineDivision of NephrologyMedical University of South CarolinaCharlestonSCUSA
- Medical ServicesRalph H. Johnson VA Medical CenterCharlestonSCUSA
| | - Ronit Katz
- Division of NephrologyKidney Research InstituteUniversity of WashingtonSeattleWAUSA
| | - Solomon K. Musani
- Jackson Heart StudyUniversity of Mississippi Medical CenterJacksonMSUSA
| | - Mario Sims
- Jackson Heart StudyUniversity of Mississippi Medical CenterJacksonMSUSA
| | - Adolfo Correa
- Jackson Heart StudyUniversity of Mississippi Medical CenterJacksonMSUSA
| | | | - Bessie A. Young
- Division of NephrologyKidney Research InstituteUniversity of WashingtonSeattleWAUSA
- Veterans Affairs Puget Sound Health Care CenterSeattleWAUSA
| |
Collapse
|