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Wu ZP, Wei W, Liu S, Hu MD, Zhao H, Li XF, Chen X. The effect of hypertension, obesity, and type 2 diabetes on lacunar stroke: A network Mendelian randomization study. Nutr Metab Cardiovasc Dis 2025; 35:103974. [PMID: 40189994 DOI: 10.1016/j.numecd.2025.103974] [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: 09/01/2024] [Revised: 03/03/2025] [Accepted: 03/04/2025] [Indexed: 04/29/2025]
Abstract
BACKGROUND AND AIMS Previous studies have reported an association of lacunar stroke with hypertension, obesity, and type 2 diabetes (T2D). The aim of this study was to investigate whether the association was causal and whether body mass index mediated the effect of hypertension on lacunar stroke. METHODS AND RESULTS The independence and causal association of hypertension, obesity, and T2D with lacunar stroke were assessed by multivariate Mendelian randomization (MVMR) and network Mendelian randomization (NMR) with inverse variance weighting (IVW). The reliability of the results was increased by sensitivity analyses including MR-Egger, Cochrane's Q test, Mendelian Randomization Pleiotropy RESidual Sum and Outlier (MR-PRESSO), and leave-one-out. MVMR analysis found that genetically predicted hypertension had a 42 % higher lacunar stroke risk (OR: 1.42, 95 % CI: 1.29-1.56, P < 0.001) when adjusted for obesity and T2D, genetically predicted T2D had a 9 % higher lacunar stroke risk (OR: 1.09, 95 % CI: 1.03-1.16, P < 0.004) when adjusted for hypertension and obesity, and genetically predicted obesity had a 15 % lower lacunar stroke risk (OR: 0.85, 95 % CI: 0.77-0.93, P < 0.001) when adjusted for hypertension and T2D. NMR found that 44 % of the association between hypertension and lacunar stroke risk was mediated by obesity. CONCLUSION This genetic association study found novel independent genetic associations between hypertension and T2D with high risk of lacunar stroke, whereas obesity attenuated the risk of lacunar stroke. The findings emphasize the importance of individualized lacunar stroke prevention strategies rather than uniform weight management optimize medical care in high-risk populations.
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Affiliation(s)
- Zhi-Ping Wu
- Department of Epidemiology, School of Public Health, Dalian Medical University, Dalian, China
| | - Wei Wei
- Department of Neurosurgery, Central Hospital of Dalian University of Technology, Dalian, China
| | - Shan Liu
- Department of Epidemiology, School of Public Health, Dalian Medical University, Dalian, China; Emergency Department, Dalian Center for Disease Control and Prevention, Dalian, China
| | - Meng-Die Hu
- Department of Epidemiology, School of Public Health, Dalian Medical University, Dalian, China
| | - Heng Zhao
- Department of Epidemiology, School of Public Health, Dalian Medical University, Dalian, China
| | - Xiao-Feng Li
- Department of Epidemiology, School of Public Health, Dalian Medical University, Dalian, China
| | - Xin Chen
- Department of Epidemiology, School of Public Health, Dalian Medical University, Dalian, China.
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Yao P, Mazidi M, Pozarickij A, Iona A, Wright N, Lin K, Millwood I, Fry H, Kartsonaki C, Chen Y, Yang L, Du H, Avery D, Schmidt D, Sun D, Lv J, Yu C, Hill M, Bennett D, Walters R, Li L, Clarke R, Chen Z. Proteome-Wide Genetic Study in East Asians and Europeans Identified Multiple Therapeutic Targets for Ischemic Stroke. Stroke 2025. [PMID: 40304040 DOI: 10.1161/strokeaha.125.050982] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2025] [Revised: 03/18/2025] [Accepted: 04/11/2025] [Indexed: 05/02/2025]
Abstract
BACKGROUND Analyses of genomic and proteomics data in prospective biobank studies in diverse populations may discover novel or repurposing drug targets for stroke. METHODS We extracted individual cis-protein quantitative trait locus for 2923 proteins measured using Olink Explore panel from a genome-wide association study in prospective China Kadoorie Biobank and UK Biobank, both established ≈20 years ago. These cis-protein quantitative trait loci were used in ancestry-specific 2-sample Mendelian randomization analyses of ischemic stroke (IS) in East Asians (n=22 664 cases) and Europeans (n=62 100 cases). We further undertook colocalization analyses to examine the shared causal variants of cis-protein quantitative trait locus with stroke, along with various downstream analyses (eg, phenome-wide association study, drug development lookups) to clarify mechanisms of action and druggability. RESULTS In Mendelian randomization analyses, the genetically predicted plasma levels of 10 proteins were significantly associated with IS in East Asians (n=2) and Europeans (n=9), with 6 proteins (FGF5 [fibroblast growth factor 5], TMPRSS5 [transmembrane protease serine 5], FURIN, F11 [coagulation factor XI], ALDH2 [aldehyde dehydrogenase 2], and ABO) showing positive and 4 (GRK5 [G protein-coupled receptor kinase 5], KIAA0319 [dyslexia-associated protein KIAA0319], PROCR [endothelial protein C receptor], and MMP12 [macrophage metalloelastase 12]) showing inverse associations, all directionally consistent between East Asians and Europeans. Colocalization analyses provided strong evidence (posterior probabilities for the H4 hypothesis ≥0.7) of shared genetic variants with IS for 9 out of 10 proteins (except ABO). Moreover, 8 proteins were also causally associated, in the expected directions, with systolic blood pressure (positive/inverse: 4/2), low-density lipoprotein cholesterol (1 positive), body mass index (1 inverse), type 2 diabetes (2/1), or atrial fibrillation (3/1). Phenome-wide association study analyses and lookups in knock-out mouse models confirmed their importance for IS or stroke-related traits (eg, hematologic phenotypes). Of these 10 proteins, 1 was not druggable (ABO), 3 had known primary (F11) or potentially repurposed (ALDH2, MMP12) drug targets for stroke, and 6 (PROCR, GRK5, FGF5, FURIN, KIAA0319, and TMPRSS5) had no evidence of any drug targets. CONCLUSIONS Proteogenomic investigation in diverse ancestry populations identified the causal relevance of 10 proteins for IS, with several being potentially novel or repurposed targets that could be prioritized for further investigation.
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Affiliation(s)
- Pang Yao
- Clinical Trial Service Unit & Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, United Kingdom. (P.Y., M.M., A.P., A.I., N.W., K.L., I.M., H.F., C.K., Y.C., L.Y., H.D., D.A., D. Schmidt, M.H., D.B., R.W., R.C., Z.C.)
| | - Mohsen Mazidi
- Clinical Trial Service Unit & Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, United Kingdom. (P.Y., M.M., A.P., A.I., N.W., K.L., I.M., H.F., C.K., Y.C., L.Y., H.D., D.A., D. Schmidt, M.H., D.B., R.W., R.C., Z.C.)
| | - Alfred Pozarickij
- Clinical Trial Service Unit & Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, United Kingdom. (P.Y., M.M., A.P., A.I., N.W., K.L., I.M., H.F., C.K., Y.C., L.Y., H.D., D.A., D. Schmidt, M.H., D.B., R.W., R.C., Z.C.)
| | - Andri Iona
- Clinical Trial Service Unit & Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, United Kingdom. (P.Y., M.M., A.P., A.I., N.W., K.L., I.M., H.F., C.K., Y.C., L.Y., H.D., D.A., D. Schmidt, M.H., D.B., R.W., R.C., Z.C.)
| | - Neil Wright
- Clinical Trial Service Unit & Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, United Kingdom. (P.Y., M.M., A.P., A.I., N.W., K.L., I.M., H.F., C.K., Y.C., L.Y., H.D., D.A., D. Schmidt, M.H., D.B., R.W., R.C., Z.C.)
| | - Kuang Lin
- Clinical Trial Service Unit & Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, United Kingdom. (P.Y., M.M., A.P., A.I., N.W., K.L., I.M., H.F., C.K., Y.C., L.Y., H.D., D.A., D. Schmidt, M.H., D.B., R.W., R.C., Z.C.)
| | - Iona Millwood
- Clinical Trial Service Unit & Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, United Kingdom. (P.Y., M.M., A.P., A.I., N.W., K.L., I.M., H.F., C.K., Y.C., L.Y., H.D., D.A., D. Schmidt, M.H., D.B., R.W., R.C., Z.C.)
- Medical Research Council Health Research Unit, Nuffield Department of Population Health, University of Oxford, United Kingdom. (I.M., H.F., C.K., Y.C., L.Y., H.D., D.A., D. Schmidt, D.B., R.W., Z.C.)
| | - Hannah Fry
- Clinical Trial Service Unit & Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, United Kingdom. (P.Y., M.M., A.P., A.I., N.W., K.L., I.M., H.F., C.K., Y.C., L.Y., H.D., D.A., D. Schmidt, M.H., D.B., R.W., R.C., Z.C.)
- Medical Research Council Health Research Unit, Nuffield Department of Population Health, University of Oxford, United Kingdom. (I.M., H.F., C.K., Y.C., L.Y., H.D., D.A., D. Schmidt, D.B., R.W., Z.C.)
| | - Christiana Kartsonaki
- Clinical Trial Service Unit & Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, United Kingdom. (P.Y., M.M., A.P., A.I., N.W., K.L., I.M., H.F., C.K., Y.C., L.Y., H.D., D.A., D. Schmidt, M.H., D.B., R.W., R.C., Z.C.)
- Medical Research Council Health Research Unit, Nuffield Department of Population Health, University of Oxford, United Kingdom. (I.M., H.F., C.K., Y.C., L.Y., H.D., D.A., D. Schmidt, D.B., R.W., Z.C.)
| | - Yiping Chen
- Clinical Trial Service Unit & Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, United Kingdom. (P.Y., M.M., A.P., A.I., N.W., K.L., I.M., H.F., C.K., Y.C., L.Y., H.D., D.A., D. Schmidt, M.H., D.B., R.W., R.C., Z.C.)
- Medical Research Council Health Research Unit, Nuffield Department of Population Health, University of Oxford, United Kingdom. (I.M., H.F., C.K., Y.C., L.Y., H.D., D.A., D. Schmidt, D.B., R.W., Z.C.)
| | - Ling Yang
- Clinical Trial Service Unit & Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, United Kingdom. (P.Y., M.M., A.P., A.I., N.W., K.L., I.M., H.F., C.K., Y.C., L.Y., H.D., D.A., D. Schmidt, M.H., D.B., R.W., R.C., Z.C.)
- Medical Research Council Health Research Unit, Nuffield Department of Population Health, University of Oxford, United Kingdom. (I.M., H.F., C.K., Y.C., L.Y., H.D., D.A., D. Schmidt, D.B., R.W., Z.C.)
| | - Huaidong Du
- Clinical Trial Service Unit & Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, United Kingdom. (P.Y., M.M., A.P., A.I., N.W., K.L., I.M., H.F., C.K., Y.C., L.Y., H.D., D.A., D. Schmidt, M.H., D.B., R.W., R.C., Z.C.)
- Medical Research Council Health Research Unit, Nuffield Department of Population Health, University of Oxford, United Kingdom. (I.M., H.F., C.K., Y.C., L.Y., H.D., D.A., D. Schmidt, D.B., R.W., Z.C.)
| | - Daniel Avery
- Clinical Trial Service Unit & Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, United Kingdom. (P.Y., M.M., A.P., A.I., N.W., K.L., I.M., H.F., C.K., Y.C., L.Y., H.D., D.A., D. Schmidt, M.H., D.B., R.W., R.C., Z.C.)
- Medical Research Council Health Research Unit, Nuffield Department of Population Health, University of Oxford, United Kingdom. (I.M., H.F., C.K., Y.C., L.Y., H.D., D.A., D. Schmidt, D.B., R.W., Z.C.)
| | - Dan Schmidt
- Clinical Trial Service Unit & Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, United Kingdom. (P.Y., M.M., A.P., A.I., N.W., K.L., I.M., H.F., C.K., Y.C., L.Y., H.D., D.A., D. Schmidt, M.H., D.B., R.W., R.C., Z.C.)
- Medical Research Council Health Research Unit, Nuffield Department of Population Health, University of Oxford, United Kingdom. (I.M., H.F., C.K., Y.C., L.Y., H.D., D.A., D. Schmidt, D.B., R.W., Z.C.)
| | - Dianjianyi Sun
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing, China (D. Sun, J.L., C.Y., L.L.)
- Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing, China (D. Sun, P.P., J.L., C.Y., L.L.)
- Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing, China (D. Sun, J.L., C.Y., L.L.)
| | - Jun Lv
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing, China (D. Sun, J.L., C.Y., L.L.)
- Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing, China (D. Sun, P.P., J.L., C.Y., L.L.)
- Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing, China (D. Sun, J.L., C.Y., L.L.)
| | - Canqing Yu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing, China (D. Sun, J.L., C.Y., L.L.)
- Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing, China (D. Sun, P.P., J.L., C.Y., L.L.)
- Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing, China (D. Sun, J.L., C.Y., L.L.)
| | - Michael Hill
- Clinical Trial Service Unit & Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, United Kingdom. (P.Y., M.M., A.P., A.I., N.W., K.L., I.M., H.F., C.K., Y.C., L.Y., H.D., D.A., D. Schmidt, M.H., D.B., R.W., R.C., Z.C.)
| | - Derrick Bennett
- Clinical Trial Service Unit & Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, United Kingdom. (P.Y., M.M., A.P., A.I., N.W., K.L., I.M., H.F., C.K., Y.C., L.Y., H.D., D.A., D. Schmidt, M.H., D.B., R.W., R.C., Z.C.)
- Medical Research Council Health Research Unit, Nuffield Department of Population Health, University of Oxford, United Kingdom. (I.M., H.F., C.K., Y.C., L.Y., H.D., D.A., D. Schmidt, D.B., R.W., Z.C.)
| | - Robin Walters
- Clinical Trial Service Unit & Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, United Kingdom. (P.Y., M.M., A.P., A.I., N.W., K.L., I.M., H.F., C.K., Y.C., L.Y., H.D., D.A., D. Schmidt, M.H., D.B., R.W., R.C., Z.C.)
- Medical Research Council Health Research Unit, Nuffield Department of Population Health, University of Oxford, United Kingdom. (I.M., H.F., C.K., Y.C., L.Y., H.D., D.A., D. Schmidt, D.B., R.W., Z.C.)
| | - Liming Li
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing, China (D. Sun, J.L., C.Y., L.L.)
- Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing, China (D. Sun, P.P., J.L., C.Y., L.L.)
- Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing, China (D. Sun, J.L., C.Y., L.L.)
| | - Robert Clarke
- Clinical Trial Service Unit & Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, United Kingdom. (P.Y., M.M., A.P., A.I., N.W., K.L., I.M., H.F., C.K., Y.C., L.Y., H.D., D.A., D. Schmidt, M.H., D.B., R.W., R.C., Z.C.)
| | - Zhengming Chen
- Clinical Trial Service Unit & Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, United Kingdom. (P.Y., M.M., A.P., A.I., N.W., K.L., I.M., H.F., C.K., Y.C., L.Y., H.D., D.A., D. Schmidt, M.H., D.B., R.W., R.C., Z.C.)
- Medical Research Council Health Research Unit, Nuffield Department of Population Health, University of Oxford, United Kingdom. (I.M., H.F., C.K., Y.C., L.Y., H.D., D.A., D. Schmidt, D.B., R.W., Z.C.)
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Nazarzadeh M, Copland E, Smith Byrne K, Canoy D, Bidel Z, Woodward M, Yang Q, McKay J, Mälarstig A, Hedman ÅK, Chalmers J, Teo KK, Pepine CJ, Davis BR, Kjeldsen SE, Sundström J, Rahimi K. Blood Pressure Lowering and Risk of Cancer: Individual Participant-Level Data Meta-Analysis and Mendelian Randomization Studies. JACC CardioOncol 2025:S2666-0873(25)00131-0. [PMID: 40366326 DOI: 10.1016/j.jaccao.2025.03.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2024] [Revised: 03/14/2025] [Accepted: 03/17/2025] [Indexed: 05/15/2025] Open
Abstract
BACKGROUND Pharmacologic blood pressure (BP) lowering is typically a lifelong treatment, and both clinicians and patients may have concerns about the long-term use of antihypertensive agents and the risk for cancer. However, evidence from randomized controlled trials (RCTs) regarding the effect of long-term pharmacologic BP lowering on the risk for new-onset cancer is limited, with most knowledge derived from observational studies. OBJECTIVES The aim of this study was to assess whether long-term BP lowering affects the risk for new-onset cancer, cause-specific cancer death, and selected site-specific cancers. METHODS Individual-level data from 42 RCTs were pooled using a one-stage individual participant data meta-analysis. The primary outcome was incident cancer of all types, and secondary outcomes were cause-specific cancer death and selected site-specific cancers. Prespecified subgroup analyses were conducted to assess the heterogeneity of the BP-lowering effect by baseline variables and over follow-up time. Cox proportional hazards regression, stratified by trial, was used for the statistical analysis. For site-specific cancers, analyses were complemented with Mendelian randomization, using naturally randomized genetic variants associated with BP lowering to mimic the design of a long-term RCT. RESULTS Data from 314,016 randomly allocated participants without known cancer at baseline were analyzed. Over a median follow-up of 4 years (Q1-Q3: 3-5 years), 17,954 participants (5.7%) developed cancer, and 4,878 (1.5%) died of cancer. In the individual participant data meta-analysis, no associations were found between reductions in systolic or diastolic BP and cancer risk (HR per 5 mm Hg reduction in systolic BP: 1.03 [95% CI: 0.99-1.06]; HR per 3 mm Hg reduction in diastolic BP: 1.03 [95% CI: 0.98-1.07]). No changes in relative risk for incident cancer were observed over follow-up time, nor was there evidence of heterogeneity in treatment effects across baseline subgroups. No effect on cause-specific cancer death was found. For site-specific cancers, no evidence of an effect was observed, except a possible link with lung cancer risk (HR for systolic BP reduction: 1.17; 99.5% CI: 1.02-1.32). Mendelian randomization studies showed no association between systolic or diastolic BP reduction and site-specific cancers, including overall lung cancer and its subtypes. CONCLUSIONS Randomized data analysis provided no evidence to indicate that pharmacologic BP lowering has a substantial impact, either increasing or decreasing, on the risk for incident cancer, cause-specific cancer death, or selected site-specific cancers.
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Affiliation(s)
- Milad Nazarzadeh
- Deep Medicine, Oxford Martin School, University of Oxford, Oxford, United Kingdom; Nuffield Department of Women's and Reproductive Health, University of Oxford, Oxford, United Kingdom
| | - Emma Copland
- Deep Medicine, Oxford Martin School, University of Oxford, Oxford, United Kingdom; Nuffield Department of Women's and Reproductive Health, University of Oxford, Oxford, United Kingdom; National Institute for Health and Care Research Oxford Biomedical Research Centre, Oxford University Hospitals NHS Foundation Trust, Oxford, United Kingdom
| | - Karl Smith Byrne
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom
| | - Dexter Canoy
- Population Health Sciences Institute, Newcastle University, Newcastle upon Tyne, United Kingdom
| | - Zeinab Bidel
- Deep Medicine, Oxford Martin School, University of Oxford, Oxford, United Kingdom; Nuffield Department of Women's and Reproductive Health, University of Oxford, Oxford, United Kingdom
| | - Mark Woodward
- The George Institute for Global Health, University of New South Wales, Sydney, Australia; The George Institute for Global Health, School of Public Health, Imperial College London, London, United Kingdom
| | - Qianqian Yang
- Deep Medicine, Oxford Martin School, University of Oxford, Oxford, United Kingdom; Nuffield Department of Women's and Reproductive Health, University of Oxford, Oxford, United Kingdom
| | - James McKay
- Genomic Epidemiology Branch, International Agency for Research on Cancer, Lyon, France
| | - Anders Mälarstig
- Discovery Network, Pfizer Worldwide Research and Development, Stockholm, Sweden; Department of Medicine, Karolinska Institute, Stockholm, Sweden
| | - Åsa K Hedman
- Discovery Network, Pfizer Worldwide Research and Development, Stockholm, Sweden; Department of Medicine, Karolinska Institute, Stockholm, Sweden
| | - John Chalmers
- The George Institute for Global Health, University of New South Wales, Sydney, Australia
| | - Koon K Teo
- Population Health Research Institute, Hamilton Health Sciences, McMaster University, Hamilton, Ontario, Canada
| | - Carl J Pepine
- College of Medicine, University of Florida, Gainesville, Florida, USA
| | - Barry R Davis
- School of Public Health, The University of Texas, Houston, Texas, USA
| | - Sverre E Kjeldsen
- Department of Cardiology, University of Oslo, Ullevaal Hospital, Oslo, Norway
| | - Johan Sundström
- The George Institute for Global Health, University of New South Wales, Sydney, Australia; Department of Medical Sciences, Clinical Epidemiology, Uppsala University, Uppsala, Sweden
| | - Kazem Rahimi
- Deep Medicine, Oxford Martin School, University of Oxford, Oxford, United Kingdom; Nuffield Department of Women's and Reproductive Health, University of Oxford, Oxford, United Kingdom; National Institute for Health and Care Research Oxford Biomedical Research Centre, Oxford University Hospitals NHS Foundation Trust, Oxford, United Kingdom.
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Jeon J, Jung KJ, Kimm H, Lee JY, Nam CM, Jee SH. The 14-year cumulative genetic high blood pressure and risk of type 2 diabetes in Korean: observational and Mendelian randomization evidence. Hypertens Res 2025; 48:1274-1284. [PMID: 39939824 PMCID: PMC11972959 DOI: 10.1038/s41440-025-02099-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2024] [Revised: 12/26/2024] [Accepted: 12/29/2024] [Indexed: 02/14/2025]
Abstract
This study aims to evaluate the causal association of blood pressure (BP) with type 2 diabetes (T2D) and assess the cumulative effect of genetic predisposition of high BP or glycemic for future clinical in Korea. To assess the bidirectional causal association between fasting blood sugar (FBS) and systolic blood pressure (SBP) in the large biobank, five MR methods (a 2-stage least squares (2SLS) regression, inverse-variance weighted (IVW), 2 median-based (simple and weighted) and MR-Egger) were applied using the weighted genetic risk score (wGRS). A bidirectional causality was found in all five methods, and there was no horizontal pleiotropy. Using the 2SLS regression method, genetically determined 10 mm/Hg elevation of SBP caused an increased 0.63 mmol/L FBS (p < 0.0001). Men had a particularly strong bidirectional causal relationship. Distinct predicted trajectories based on genetically determined SBP and FBS levels were identified using group-based trajectory modeling (GBTM). To assess the risk of subsequent hypertension or T2D in each trajectory, the Cox proportional hazard model, and adjusted covariates (including wGRS) were conducted. An uncontrol predicted SBP pattern (fluctuated plot) had a higher risk of subsequence T2D than a control-predicted pattern (HR: 1.25, 95% CI: 1.00-1.58). In the Korean middle-aged, it was significantly demonstrated that there is a bidirectional causality between high BP and T2D, which is different from previous studies in Europe. Specially, cumulative high blood pressure predisposition by the genetic variants may affect to risk of T2D incidence. Prevention of high BP must be followed in lifespan.
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Affiliation(s)
- Jooeun Jeon
- Department of Epidemiology and Health Promotion, Institute for Health Promotion, Graduate School of Public Health, Yonsei University, Seoul, South Korea
- Department of Preventive Medicine, College of Medicine, Yonsei University, Seoul, South Korea
- Department of Biomedical Sciences, College of Medicine, Yonsei University, Seoul, South Korea
| | - Keum Ji Jung
- Department of Epidemiology and Health Promotion, Institute for Health Promotion, Graduate School of Public Health, Yonsei University, Seoul, South Korea
| | - Heejin Kimm
- Department of Epidemiology and Health Promotion, Institute for Health Promotion, Graduate School of Public Health, Yonsei University, Seoul, South Korea
| | - Ji-Young Lee
- Department of Epidemiology and Health Promotion, Institute for Health Promotion, Graduate School of Public Health, Yonsei University, Seoul, South Korea
| | - Chung-Mo Nam
- Department of Preventive Medicine, College of Medicine, Yonsei University, Seoul, South Korea
| | - Sun Ha Jee
- Department of Epidemiology and Health Promotion, Institute for Health Promotion, Graduate School of Public Health, Yonsei University, Seoul, South Korea.
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5
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Martin SS, Aday AW, Allen NB, Almarzooq ZI, Anderson CAM, Arora P, Avery CL, Baker-Smith CM, Bansal N, Beaton AZ, Commodore-Mensah Y, Currie ME, Elkind MSV, Fan W, Generoso G, Gibbs BB, Heard DG, Hiremath S, Johansen MC, Kazi DS, Ko D, Leppert MH, Magnani JW, Michos ED, Mussolino ME, Parikh NI, Perman SM, Rezk-Hanna M, Roth GA, Shah NS, Springer MV, St-Onge MP, Thacker EL, Urbut SM, Van Spall HGC, Voeks JH, Whelton SP, Wong ND, Wong SS, Yaffe K, Palaniappan LP. 2025 Heart Disease and Stroke Statistics: A Report of US and Global Data From the American Heart Association. Circulation 2025; 151:e41-e660. [PMID: 39866113 DOI: 10.1161/cir.0000000000001303] [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: 01/28/2025]
Abstract
BACKGROUND The American Heart Association (AHA), in conjunction with the National Institutes of Health, annually reports the most up-to-date statistics related to heart disease, stroke, and cardiovascular risk factors, including core health behaviors (smoking, physical activity, nutrition, sleep, and obesity) and health factors (cholesterol, blood pressure, glucose control, and metabolic syndrome) that contribute to cardiovascular health. The AHA Heart Disease and Stroke Statistical Update presents the latest data on a range of major clinical heart and circulatory disease conditions (including stroke, brain health, complications of pregnancy, kidney disease, congenital heart disease, rhythm disorders, sudden cardiac arrest, subclinical atherosclerosis, coronary heart disease, cardiomyopathy, heart failure, valvular disease, venous thromboembolism, and peripheral artery disease) and the associated outcomes (including quality of care, procedures, and economic costs). METHODS The AHA, through its Epidemiology and Prevention Statistics Committee, continuously monitors and evaluates sources of data on heart disease and stroke in the United States and globally to provide the most current information available in the annual Statistical Update with review of published literature through the year before writing. The 2025 AHA Statistical Update is the product of a full year's worth of effort in 2024 by dedicated volunteer clinicians and scientists, committed government professionals, and AHA staff members. This year's edition includes a continued focus on health equity across several key domains and enhanced global data that reflect improved methods and incorporation of ≈3000 new data sources since last year's Statistical Update. RESULTS Each of the chapters in the Statistical Update focuses on a different topic related to heart disease and stroke statistics. CONCLUSIONS The Statistical Update represents a critical resource for the lay public, policymakers, media professionals, clinicians, health care administrators, researchers, health advocates, and others seeking the best available data on these factors and conditions.
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Naderi H, Warren HR, Munroe PB. Harnessing the power of genomics in hypertension: tip of the iceberg? CAMBRIDGE PRISMS. PRECISION MEDICINE 2025; 3:e2. [PMID: 40071139 PMCID: PMC11894416 DOI: 10.1017/pcm.2025.1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 06/18/2024] [Revised: 12/18/2024] [Accepted: 01/09/2025] [Indexed: 03/14/2025]
Abstract
Despite the blaze of advancing knowledge on its complex genetic architecture, hypertension remains an elusive condition. Genetic studies of blood pressure have yielded bitter-sweet results thus far with the identification of more than 2,000 genetic loci, though the candidate causal genes and biological pathways remain largely unknown. The era of big data and sophisticated statistical tools has propelled insights into pathophysiology and causal inferences. However, new genetic risk tools for hypertension are the tip of the iceberg, and applications of genomic technology are likely to proliferate. We review the genomics of hypertension, exploring the significant milestones in our current understanding of this condition and the progress towards personalised treatment and management for hypertension.
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Affiliation(s)
- Hafiz Naderi
- William Harvey Research Institute, Queen Mary University of London, London, UK
- Barts Heart Centre, St Bartholomew’s Hospital, West Smithfield, London, UK
- National Institute of Health and Care Research Barts Biomedical Research Centre, Queen Mary University of London, London, UK
| | - Helen R. Warren
- William Harvey Research Institute, Queen Mary University of London, London, UK
- National Institute of Health and Care Research Barts Biomedical Research Centre, Queen Mary University of London, London, UK
| | - Patricia B. Munroe
- William Harvey Research Institute, Queen Mary University of London, London, UK
- National Institute of Health and Care Research Barts Biomedical Research Centre, Queen Mary University of London, London, UK
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7
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Sun Z, Zhang H, Ding Y, Yu C, Sun D, Pang Y, Pei P, Yang L, Chen Y, Du H, Hu W, Avery D, Chen J, Chen Z, Li L, Lv J. Cost-Effectiveness of Salt Substitution and Antihypertensive Drug Treatment in Chinese Prehypertensive Adults. Hypertension 2024; 81:2529-2539. [PMID: 39465247 DOI: 10.1161/hypertensionaha.124.23412] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2024] [Accepted: 10/09/2024] [Indexed: 10/29/2024]
Abstract
BACKGROUND Recent guidelines recommend antihypertensive drug treatment for prehypertensive individuals with blood pressure between 130/80 and 139/89 mm Hg. This study evaluates the cost-effectiveness of 3 interventions in Chinese prehypertensive adults: salt substitution, antihypertensive drug treatment, and their combination. METHODS We developed a Markov cohort model to estimate cardiovascular disease (CVD) events, costs, and quality-adjusted life years (QALYs) over a lifetime. Data from the China Kadoorie Biobank informed the simulation. Costs and utilities were drawn from published sources. We evaluated the cost-effectiveness of salt substitution alone, antihypertensive drug treatment alone, and a combination of the 2, focusing on the overall prehypertensive population, those at high CVD risk, and different starting ages (40, 50, 60, and 70 years). Incremental cost-effectiveness ratios (ICERs) were calculated per QALY gained. RESULTS Salt substitution at age 40 years is the only cost-effective strategy for prehypertensive individuals, with an ICER of $6413.62/QALY. For those at high CVD risk, the combination intervention starting at age 40 years is most cost-effective, with an ICER of $2913.30/QALY. Interventions initiated at younger ages yielded greater CVD reductions and lower ICERs. For example, a combined intervention at age 40 years reduces CVD events by 5.3% with an ICER of $2913.30/QALY, compared with 4.9% and $32 635.33/QALY at age 70 years. These results were consistent across sensitivity analyses. CONCLUSIONS In China, replacing usual salt with a salt substitute is more cost-effective than treating prehypertensive individuals over the age of 40 years with antihypertensive drugs. Furthermore, starting intervention at a younger age in prehypertensive adults can result in even greater cost savings.
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Affiliation(s)
- Zhijia Sun
- Department of Epidemiology and Biostatistics (Z.S., Y.D., C.Y., D.S., Y.P., L.L., J.L.), School of Public Health, Peking University, Beijing, China
| | - Haijun Zhang
- Department of Health Policy and Management (H.Z.), School of Public Health, Peking University, Beijing, China
- Department of International Health, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD (H.Z.)
| | - Yinqi Ding
- Department of Epidemiology and Biostatistics (Z.S., Y.D., C.Y., D.S., Y.P., L.L., J.L.), School of Public Health, Peking University, Beijing, China
| | - Canqing Yu
- Department of Epidemiology and Biostatistics (Z.S., Y.D., C.Y., D.S., Y.P., L.L., J.L.), School of Public Health, Peking University, Beijing, China
- Peking University Center for Public Health and Epidemic Preparedness and Response, Beijing, China (C.Y., D.S., Y.P., P.P., L.L., J.L.)
- Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing, China (C.Y., D.S., L.L., J.L.)
| | - Dianjianyi Sun
- Department of Epidemiology and Biostatistics (Z.S., Y.D., C.Y., D.S., Y.P., L.L., J.L.), School of Public Health, Peking University, Beijing, China
- Peking University Center for Public Health and Epidemic Preparedness and Response, Beijing, China (C.Y., D.S., Y.P., P.P., L.L., J.L.)
- Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing, China (C.Y., D.S., L.L., J.L.)
| | - Yuanjie Pang
- Department of Epidemiology and Biostatistics (Z.S., Y.D., C.Y., D.S., Y.P., L.L., J.L.), School of Public Health, Peking University, Beijing, China
- Peking University Center for Public Health and Epidemic Preparedness and Response, Beijing, China (C.Y., D.S., Y.P., P.P., L.L., J.L.)
| | - Pei Pei
- Peking University Center for Public Health and Epidemic Preparedness and Response, Beijing, China (C.Y., D.S., Y.P., P.P., L.L., J.L.)
| | - Ling Yang
- Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, United Kingdom (L.Y., Y.C., H.D., D.A., Z.C.)
| | - Yiping Chen
- Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, United Kingdom (L.Y., Y.C., H.D., D.A., Z.C.)
| | - Huaidong Du
- Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, United Kingdom (L.Y., Y.C., H.D., D.A., Z.C.)
| | - Weijie Hu
- Maiji Center for Disease Control and Prevention, Gansu, China (W.H.)
| | - Daniel Avery
- Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, United Kingdom (L.Y., Y.C., H.D., D.A., Z.C.)
| | - Junshi Chen
- China National Center for Food Safety Risk Assessment, Beijing, China (J.C.)
| | - Zhengming Chen
- Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, United Kingdom (L.Y., Y.C., H.D., D.A., Z.C.)
| | - Liming Li
- Department of Epidemiology and Biostatistics (Z.S., Y.D., C.Y., D.S., Y.P., L.L., J.L.), School of Public Health, Peking University, Beijing, China
- Peking University Center for Public Health and Epidemic Preparedness and Response, Beijing, China (C.Y., D.S., Y.P., P.P., L.L., J.L.)
- Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing, China (C.Y., D.S., L.L., J.L.)
| | - Jun Lv
- Department of Epidemiology and Biostatistics (Z.S., Y.D., C.Y., D.S., Y.P., L.L., J.L.), School of Public Health, Peking University, Beijing, China
- Peking University Center for Public Health and Epidemic Preparedness and Response, Beijing, China (C.Y., D.S., Y.P., P.P., L.L., J.L.)
- Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing, China (C.Y., D.S., L.L., J.L.)
- State Key Laboratory of Vascular Homeostasis and Remodeling, Peking University, Beijing, China (J.L.)
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8
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Ye X, Liang M, Chen Z, Jiang X, Xie M, Xie X, Lan G, Lu X, Huang Z, Xu T, Xie X. Association between healthy lifestyle on life course and multimorbidity in adults: results from two national prospective cohort studies. BMC Public Health 2024; 24:2942. [PMID: 39443908 PMCID: PMC11515530 DOI: 10.1186/s12889-024-20443-7] [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: 09/18/2024] [Accepted: 10/17/2024] [Indexed: 10/25/2024] Open
Abstract
OBJECTIVES To examine the correlation between healthy lifestyle patterns, their change trajectories, and the risk of multimorbidity in adults. METHODS Based on two representative national cohorts, the English Longitudinal Study of Aging (ELSA) and the Health and Retirement Study (HRS) including adults aged 50 years and over. We employed Cox regression, lifestyle change trajectories, and restricted mean survival times to explore the relationship between lifestyle (assessed by SCORE2, LE'8, and HLS scores) and multimorbidity. We also conducted mediation analysis to investigate the underlying mechanisms. RESULTS A healthy lifestyle (higher LE'8, higher HLS, or lower SCORE2) can reduce the risk of multimorbidity. 2-10% lower multimorbidity risk per one-point increase in LE'8 and HLS. The hazard ratio of multimorbidity for improvements in unhealthy lifestyles or deterioration in healthy lifestyles compared to always healthy lifestyles ranged from 1.598 to 5.602. Besides, for LE'8 and HLS, participants with higher scores had a slower decrease in survival probability in ELSA. Triglyceride, C-reaction protein, fibrinogen, and cystatin C partly mediate the association between lifestyle and multimorbidity. CONCLUSIONS Keeping a healthy lifestyle over time can help reduce the risk of multimorbidity.
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Affiliation(s)
- Xiaoying Ye
- Department of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou, China
| | - Mengdan Liang
- Department of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou, China
| | - Zhehui Chen
- Department of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou, China
| | - Xiannuan Jiang
- Department of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou, China
| | - Mengying Xie
- The Second Clinical Medical School, Nanchang University, Nanchang, China
| | - Xiaowei Xie
- The First Clinical Medical School, Shanxi Medical University, Taiyuan, China
| | - Guohui Lan
- Department of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou, China
| | - Xiaoli Lu
- Department of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou, China
| | - Zelin Huang
- Department of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou, China
| | - Tingting Xu
- Department of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou, China
| | - Xiaoxu Xie
- Department of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou, China.
- Clinical Research Unit, The Second Affiliated Hospital, Fujian Medical University, Quanzhou, China.
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9
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Zhang Y, Ding Y, Yu C, Sun D, Pei P, Du H, Yang L, Chen Y, Schmidt D, Avery D, Chen J, Chen J, Chen Z, Li L, Lv J. Predictive value of 8-year blood pressure measures in intracerebral haemorrhage risk over 5 years. Eur J Prev Cardiol 2024; 31:1702-1710. [PMID: 38629743 PMCID: PMC7616516 DOI: 10.1093/eurjpc/zwae147] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/18/2024] [Revised: 03/21/2024] [Accepted: 04/09/2024] [Indexed: 05/07/2024]
Abstract
AIMS The relationships between long-term blood pressure (BP) measures and intracerebral haemorrhage (ICH), as well as their predictive ability on ICH, are unclear. In this study, we aim to investigate the independent associations of multiple BP measures with subsequent 5-year ICH risk, as well as the incremental value of these measures over a single-point BP measurement in ICH risk prediction. METHODS AND RESULTS We included 12 398 participants from the China Kadoorie Biobank (CKB) who completed three surveys every 4-5 years. The following long-term BP measures were calculated: mean, minimum, maximum, standard deviation, coefficient of variation, average real variability, and cumulative BP exposure (cumBP). Cox proportional hazard models were used to examine the associations between these measures and ICH. The potential incremental value of these measures in ICH risk prediction was assessed using Harrell's C statistics, continuous net reclassification improvement (cNRI), and relative integrated discrimination improvement (rIDI). The hazard ratios (95% confidence intervals) of incident ICH associated with per standard deviation increase in cumulative systolic BP and cumulative diastolic BP were 1.62 (1.25-2.10) and 1.59 (1.23-2.07), respectively. When cumBP was added to the conventional 5-year ICH risk prediction model, the C-statistic change was 0.009 (-0.001, 0.019), the cNRI was 0.267 (0.070-0.464), and the rIDI was 18.2% (5.8-30.7%). Further subgroup analyses revealed a consistent increase in cNRI and rIDI in men, rural residents, and participants without diabetes. Other long-term BP measures showed no statistically significant associations with incident ICH and generally did not improve model performance. CONCLUSION The nearly 10-year cumBP was positively associated with an increased 5-year risk of ICH and could significantly improve risk reclassification for the ICH risk prediction model that included single-point BP measurement.
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Affiliation(s)
- Yiqian Zhang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, 38 Xueyuan Road, Haidian District, Beijing 100191, China
| | - Yinqi Ding
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, 38 Xueyuan Road, Haidian District, Beijing 100191, China
| | - Canqing Yu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, 38 Xueyuan Road, Haidian District, Beijing 100191, China
- Peking University Center for Public Health and Epidemic Preparedness and Response, 38 Xueyuan Road, Haidian District, Beijing 100191, China
- Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, 38 Xueyuan Road, Haidian District, Beijing 100191, China
| | - Dianjianyi Sun
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, 38 Xueyuan Road, Haidian District, Beijing 100191, China
- Peking University Center for Public Health and Epidemic Preparedness and Response, 38 Xueyuan Road, Haidian District, Beijing 100191, China
- Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, 38 Xueyuan Road, Haidian District, Beijing 100191, China
| | - Pei Pei
- Peking University Center for Public Health and Epidemic Preparedness and Response, 38 Xueyuan Road, Haidian District, Beijing 100191, China
| | - Huaidong Du
- Medical Research Council Population Health Research Unit at the University of Oxford, Oxford, UK
- Clinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, UK
| | - Ling Yang
- Medical Research Council Population Health Research Unit at the University of Oxford, Oxford, UK
- Clinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, UK
| | - Yiping Chen
- Medical Research Council Population Health Research Unit at the University of Oxford, Oxford, UK
- Clinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, UK
| | - Dan Schmidt
- Clinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, UK
| | - Daniel Avery
- Clinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, UK
| | - Jianwei Chen
- Liuyang Centers for Disease Control and Prevention, NO.11 Section 2 Lihua Road, Jili Subdistrict, Liuyang, Changsha, Hunan 410300, China
| | - Junshi Chen
- China National Center for Food Safety Risk Assessment, 37 Guangqu Road, Chaoyang District, Beijing 100022, China
| | - Zhengming Chen
- Clinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, UK
| | - Liming Li
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, 38 Xueyuan Road, Haidian District, Beijing 100191, China
- Peking University Center for Public Health and Epidemic Preparedness and Response, 38 Xueyuan Road, Haidian District, Beijing 100191, China
- Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, 38 Xueyuan Road, Haidian District, Beijing 100191, China
| | - Jun Lv
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, 38 Xueyuan Road, Haidian District, Beijing 100191, China
- Peking University Center for Public Health and Epidemic Preparedness and Response, 38 Xueyuan Road, Haidian District, Beijing 100191, China
- Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, 38 Xueyuan Road, Haidian District, Beijing 100191, China
- State Key Laboratory of Vascular Homeostasis and Remodeling, Peking University, 38 Xueyuan Road, Haidian District, Beijing 100191, China
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10
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Pan HY, Yang PL, Lin CH, Chi CY, Lu CW, Lai TS, Yeh CF, Chen MYC, Wang TD, Kao HL, Lin YH, Wang MC, Wu CC. Blood pressure targets, medication consideration and special concerns in elderly hypertension part I: General principles and special considerations. J Formos Med Assoc 2024:S0929-6646(24)00443-1. [PMID: 39322497 DOI: 10.1016/j.jfma.2024.09.023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2024] [Revised: 09/06/2024] [Accepted: 09/18/2024] [Indexed: 09/27/2024] Open
Abstract
To achieve a consensus on optimal blood pressure (BP) targets for older adults remains challenging, necessitating a trade-off between cardiovascular benefits and the risk of impaired organ perfusion. Evidence suggests that age and frailty have a minimal influence on the cardiovascular benefits of intensive BP control in community-dwelling elderly. Nonetheless, an increased incidence of acute kidney injury with intensive BP control has been observed in octogenarians. Therefore, it is recommended to maintain systolic BP below 130 mmHg for hypertensive patients aged 65-80 years. If well-tolerated, a systolic BP target below 120 mmHg can be recommended for patients with chronic kidney disease (CKD). However, no conclusive evidence supports a stringent BP target for patients aged 80 years and older. The selection of antihypertensive medications for elderly patients requires consideration of their cardiovascular condition and potential contraindications. Combination therapy may be necessary to achieve the desired BP target. Angiotensin-converting enzyme inhibitors or angiotensin receptor blockers are the primary choices for patients with CKD. Newer generation mineralocorticoid receptor antagonists may further reduce the risk of cardiovascular or renal events in this population. In conclusion, managing hypertension in elderly patients requires a personalized approach that balances cardiovascular benefits with potential risks, considering individual health profiles and tolerability.
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Affiliation(s)
- Heng-Yu Pan
- Division of Cardiology, Department of Internal Medicine, National Taiwan University Hospital Hsin-Chu Branch, Hsinchu City, Taiwan
| | - Po-Lung Yang
- Department of Geriatrics and Gerontology, National Taiwan University Hospital, Taipei City, Taiwan; Department of Internal Medicine, National Taiwan University Hospital, Taipei City, Taiwan
| | - Chun-Hsien Lin
- Division of Metabolism and Endocrinology, Department of Internal Medicine, National Taiwan University Hospital Hsin-Chu Branch, Hsinchu City, Taiwan
| | - Chun-Yi Chi
- Division of Nephrology, Department of Internal Medicine, National Taiwan University Hospital Yun-Lin Branch, Yunlin County, Taiwan
| | - Chia-Wen Lu
- Department of Family Medicine, National Taiwan University Hospital, Taipei City, Taiwan.
| | - Tai-Shuan Lai
- Department of Internal Medicine, National Taiwan University Hospital, Taipei City, Taiwan.
| | - Chih-Fan Yeh
- Division of Cardiology, Department of Internal Medicine and Cardiovascular Center, National Taiwan University Hospital, Taipei City, Taiwan
| | - Michael Yu-Chih Chen
- Division of Cardiology, Department of Internal Medicine, Buddhist Tzu Chi General Hospital, Hualien, Taiwan; School of Medicine, Tzu Chi University, Hualien, Taiwan
| | - Tzung-Dau Wang
- Division of Cardiology, Department of Internal Medicine and Cardiovascular Center, National Taiwan University Hospital, Taipei City, Taiwan
| | - Hsien-Li Kao
- Division of Cardiology, Department of Internal Medicine and Cardiovascular Center, National Taiwan University Hospital, Taipei City, Taiwan
| | - Yen-Hung Lin
- Division of Cardiology, Department of Internal Medicine and Cardiovascular Center, National Taiwan University Hospital, Taipei City, Taiwan
| | - Mu-Cyun Wang
- Department of Geriatrics and Gerontology, National Taiwan University Hospital, Taipei City, Taiwan.
| | - Chih-Cheng Wu
- Division of Cardiology, Department of Internal Medicine, National Taiwan University Hospital Hsin-Chu Branch, Hsinchu City, Taiwan.
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11
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Pozarickij A, Gan W, Lin K, Clarke R, Fairhurst-Hunter Z, Koido M, Kanai M, Okada Y, Kamatani Y, Bennett D, Du H, Chen Y, Yang L, Avery D, Guo Y, Yu M, Yu C, Schmidt Valle D, Lv J, Chen J, Peto R, Collins R, Li L, Chen Z, Millwood IY, Walters RG. Causal relevance of different blood pressure traits on risk of cardiovascular diseases: GWAS and Mendelian randomisation in 100,000 Chinese adults. Nat Commun 2024; 15:6265. [PMID: 39048560 PMCID: PMC11269703 DOI: 10.1038/s41467-024-50297-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2023] [Accepted: 07/04/2024] [Indexed: 07/27/2024] Open
Abstract
Elevated blood pressure (BP) is major risk factor for cardiovascular diseases (CVD). Genome-wide association studies (GWAS) conducted predominantly in populations of European ancestry have identified >2,000 BP-associated loci, but other ancestries have been less well-studied. We conducted GWAS of systolic, diastolic, pulse, and mean arterial BP in 100,453 Chinese adults. We identified 128 non-overlapping loci associated with one or more BP traits, including 74 newly-reported associations. Despite strong genetic correlations between populations, we identified appreciably higher heritability and larger variant effect sizes in Chinese compared with European or Japanese ancestry populations. Using instruments derived from these GWAS, multivariable Mendelian randomisation demonstrated that BP traits contribute differently to the causal associations of BP with CVD. In particular, only pulse pressure was independently causally associated with carotid plaque. These findings reinforce the need for studies in diverse populations to understand the genetic determinants of BP traits and their roles in disease risk.
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Affiliation(s)
- Alfred Pozarickij
- Clinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Wei Gan
- Clinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK
- Human Genetics Centre of Excellence, Novo Nordisk Research Centre Oxford, Innovation Building, Old Road Campus, Oxford, UK
| | - Kuang Lin
- Clinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Robert Clarke
- Clinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Zammy Fairhurst-Hunter
- Clinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Masaru Koido
- Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of Tokyo, Tokyo, Japan
| | - Masahiro Kanai
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, 02114, USA
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA
| | - Yukinori Okada
- Department of Statistical Genetics, Osaka University Graduate School of Medicine, Suita, 565-0871, Japan
- Department of Genome Informatics, Graduate School of Medicine, University of Tokyo, Tokyo, 113-0033, Japan
- Laboratory for Systems Genetics, RIKEN Center for Integrative Medical Sciences, Kanagawa, 230- 0045, Japan
- Laboratory of Statistical Immunology, Immunology Frontier Research Center (WPI-IFReC), Osaka University, Suita, 565-0871, Japan
| | - Yoichiro Kamatani
- Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of Tokyo, Tokyo, Japan
| | - Derrick Bennett
- Clinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Huaidong Du
- Clinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Yiping Chen
- Clinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Ling Yang
- Clinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Daniel Avery
- Clinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Yu Guo
- National Center for Cardiovascular Diseases, Fuwai Hospital, Chinese Academy of Medical Sciences, 100037, Beijing, China
| | - Min Yu
- Zhejiang CDC, Zhejiang, China
| | - Canqing Yu
- Department of Epidemiology & Biostatistics, School of Public Health, Peking University, Xueyuan Road, Haidian District, 100191, Beijing, China
- Peking University Center for Public Health and Epidemic Preparedness and Response, 100191, Beijing, China
- Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, 100191, Beijing, China
| | - Dan Schmidt Valle
- Clinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Jun Lv
- Department of Epidemiology & Biostatistics, School of Public Health, Peking University, Xueyuan Road, Haidian District, 100191, Beijing, China
- Peking University Center for Public Health and Epidemic Preparedness and Response, 100191, Beijing, China
- Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, 100191, Beijing, China
| | - Junshi Chen
- China National Center For Food Safety Risk Assessment, Beijing, China
| | - Richard Peto
- Clinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Rory Collins
- Clinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Liming Li
- Department of Epidemiology & Biostatistics, School of Public Health, Peking University, Xueyuan Road, Haidian District, 100191, Beijing, China.
- Peking University Center for Public Health and Epidemic Preparedness and Response, 100191, Beijing, China.
- Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, 100191, Beijing, China.
| | - Zhengming Chen
- Clinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Iona Y Millwood
- Clinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Robin G Walters
- Clinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK.
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12
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Martin SS, Aday AW, Almarzooq ZI, Anderson CAM, Arora P, Avery CL, Baker-Smith CM, Barone Gibbs B, Beaton AZ, Boehme AK, Commodore-Mensah Y, Currie ME, Elkind MSV, Evenson KR, Generoso G, Heard DG, Hiremath S, Johansen MC, Kalani R, Kazi DS, Ko D, Liu J, Magnani JW, Michos ED, Mussolino ME, Navaneethan SD, Parikh NI, Perman SM, Poudel R, Rezk-Hanna M, Roth GA, Shah NS, St-Onge MP, Thacker EL, Tsao CW, Urbut SM, Van Spall HGC, Voeks JH, Wang NY, Wong ND, Wong SS, Yaffe K, Palaniappan LP. 2024 Heart Disease and Stroke Statistics: A Report of US and Global Data From the American Heart Association. Circulation 2024; 149:e347-e913. [PMID: 38264914 DOI: 10.1161/cir.0000000000001209] [Citation(s) in RCA: 699] [Impact Index Per Article: 699.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/25/2024]
Abstract
BACKGROUND The American Heart Association (AHA), in conjunction with the National Institutes of Health, annually reports the most up-to-date statistics related to heart disease, stroke, and cardiovascular risk factors, including core health behaviors (smoking, physical activity, nutrition, sleep, and obesity) and health factors (cholesterol, blood pressure, glucose control, and metabolic syndrome) that contribute to cardiovascular health. The AHA Heart Disease and Stroke Statistical Update presents the latest data on a range of major clinical heart and circulatory disease conditions (including stroke, brain health, complications of pregnancy, kidney disease, congenital heart disease, rhythm disorders, sudden cardiac arrest, subclinical atherosclerosis, coronary heart disease, cardiomyopathy, heart failure, valvular disease, venous thromboembolism, and peripheral artery disease) and the associated outcomes (including quality of care, procedures, and economic costs). METHODS The AHA, through its Epidemiology and Prevention Statistics Committee, continuously monitors and evaluates sources of data on heart disease and stroke in the United States and globally to provide the most current information available in the annual Statistical Update with review of published literature through the year before writing. The 2024 AHA Statistical Update is the product of a full year's worth of effort in 2023 by dedicated volunteer clinicians and scientists, committed government professionals, and AHA staff members. The AHA strives to further understand and help heal health problems inflicted by structural racism, a public health crisis that can significantly damage physical and mental health and perpetuate disparities in access to health care, education, income, housing, and several other factors vital to healthy lives. This year's edition includes additional global data, as well as data on the monitoring and benefits of cardiovascular health in the population, with an enhanced focus on health equity across several key domains. RESULTS Each of the chapters in the Statistical Update focuses on a different topic related to heart disease and stroke statistics. CONCLUSIONS The Statistical Update represents a critical resource for the lay public, policymakers, media professionals, clinicians, health care administrators, researchers, health advocates, and others seeking the best available data on these factors and conditions.
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13
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Feng L, Ye Z, Mo C, Wang J, Liu S, Gao S, Ke H, Canida TA, Pan Y, van Greevenbroek MM, Houben AJ, Wang K, Hatch KS, Ma Y, Lei DK, Chen C, Mitchell BD, Hong LE, Kochunov P, Chen S, Ma T. Elevated blood pressure accelerates white matter brain aging among late middle-aged women: a Mendelian Randomization study in the UK Biobank. J Hypertens 2023; 41:1811-1820. [PMID: 37682053 PMCID: PMC11083214 DOI: 10.1097/hjh.0000000000003553] [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] [Indexed: 09/09/2023]
Abstract
BACKGROUND Elevated blood pressure (BP) is a modifiable risk factor associated with cognitive impairment and cerebrovascular diseases. However, the causal effect of BP on white matter brain aging remains unclear. METHODS In this study, we focused on N = 228 473 individuals of European ancestry who had genotype data and clinical BP measurements available (103 929 men and 124 544 women, mean age = 56.49, including 16 901 participants with neuroimaging data available) collected from UK Biobank (UKB). We first established a machine learning model to compute the outcome variable brain age gap (BAG) based on white matter microstructure integrity measured by fractional anisotropy derived from diffusion tensor imaging data. We then performed a two-sample Mendelian randomization analysis to estimate the causal effect of BP on white matter BAG in the whole population and subgroups stratified by sex and age brackets using two nonoverlapping data sets. RESULTS The hypertension group is on average 0.31 years (95% CI = 0.13-0.49; P < 0.0001) older in white matter brain age than the nonhypertension group. Women are on average 0.81 years (95% CI = 0.68-0.95; P < 0.0001) younger in white matter brain age than men. The Mendelian randomization analyses showed an overall significant positive causal effect of DBP on white matter BAG (0.37 years/10 mmHg, 95% CI 0.034-0.71, P = 0.0311). In stratified analysis, the causal effect was found most prominent among women aged 50-59 and aged 60-69. CONCLUSION High BP can accelerate white matter brain aging among late middle-aged women, providing insights on planning effective control of BP for women in this age group.
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Affiliation(s)
- Li Feng
- Department of Nutrition and Food Science, College of Agriculture & Natural Resources, University of Maryland, College Park
| | - Zhenyao Ye
- Maryland Psychiatric Research Center, Department of Psychiatry
- Division of Biostatistics and Bioinformatics, Department of Epidemiology and Public Health, School of Medicine, University of Maryland, Baltimore, Maryland
| | - Chen Mo
- Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts, USA
| | - Jingtao Wang
- Department of Hematology, Qilu Hospital of Shandong University
| | - Song Liu
- School of Computer Science and Technology, Qilu University of Technology (Shandong Academy of Sciences), Jinan, Shandong, China
| | - Si Gao
- Maryland Psychiatric Research Center, Department of Psychiatry
| | - Hongjie Ke
- Department of Epidemiology and Biostatistics, School of Public Health
| | - Travis A. Canida
- Department of Mathematics, The College of Computer, Mathematical, and Natural Sciences, University of Maryland, College Park, Maryland, USA
| | - Yezhi Pan
- Maryland Psychiatric Research Center, Department of Psychiatry
| | - Marleen M.J. van Greevenbroek
- Department of Internal Medicine, Maastricht University Medical Centre
- CARIM Cardiovascular Research Institute Maastricht, Maastricht University, Maastricht, The Netherlands
| | - Alfons J.H.M. Houben
- Department of Internal Medicine, Maastricht University Medical Centre
- CARIM Cardiovascular Research Institute Maastricht, Maastricht University, Maastricht, The Netherlands
| | - Kai Wang
- Department of Internal Medicine, Maastricht University Medical Centre
- CARIM Cardiovascular Research Institute Maastricht, Maastricht University, Maastricht, The Netherlands
| | | | - Yizhou Ma
- Maryland Psychiatric Research Center, Department of Psychiatry
| | - David K.Y. Lei
- Department of Nutrition and Food Science, College of Agriculture & Natural Resources, University of Maryland, College Park
| | - Chixiang Chen
- Division of Biostatistics and Bioinformatics, Department of Epidemiology and Public Health, School of Medicine, University of Maryland, Baltimore, Maryland
| | - Braxton D. Mitchell
- Department of Epidemiology and Biostatistics, University of Maryland School of Public Health, College Park, MD, USA
| | - L. Elliot Hong
- Maryland Psychiatric Research Center, Department of Psychiatry
| | - Peter Kochunov
- Maryland Psychiatric Research Center, Department of Psychiatry
| | - Shuo Chen
- Maryland Psychiatric Research Center, Department of Psychiatry
- Division of Biostatistics and Bioinformatics, Department of Epidemiology and Public Health, School of Medicine, University of Maryland, Baltimore, Maryland
| | - Tianzhou Ma
- Department of Epidemiology and Biostatistics, School of Public Health
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14
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Walters RG, Millwood IY, Lin K, Schmidt Valle D, McDonnell P, Hacker A, Avery D, Edris A, Fry H, Cai N, Kretzschmar WW, Ansari MA, Lyons PA, Collins R, Donnelly P, Hill M, Peto R, Shen H, Jin X, Nie C, Xu X, Guo Y, Yu C, Lv J, Clarke RJ, Li L, Chen Z. Genotyping and population characteristics of the China Kadoorie Biobank. CELL GENOMICS 2023; 3:100361. [PMID: 37601966 PMCID: PMC10435379 DOI: 10.1016/j.xgen.2023.100361] [Citation(s) in RCA: 45] [Impact Index Per Article: 22.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/04/2022] [Revised: 02/09/2023] [Accepted: 06/24/2023] [Indexed: 08/22/2023]
Abstract
The China Kadoorie Biobank (CKB) is a population-based prospective cohort of >512,000 adults recruited from 2004 to 2008 from 10 geographically diverse regions across China. Detailed data from questionnaires and physical measurements were collected at baseline, with additional measurements at three resurveys involving ∼5% of surviving participants. Analyses of genome-wide genotyping, for >100,000 participants using custom-designed Axiom arrays, reveal extensive relatedness, recent consanguinity, and signatures reflecting large-scale population movements from recent Chinese history. Systematic genome-wide association studies of incident disease, captured through electronic linkage to death and disease registries and to the national health insurance system, replicate established disease loci and identify 14 novel disease associations. Together with studies of candidate drug targets and disease risk factors and contributions to international genetics consortia, these demonstrate the breadth, depth, and quality of the CKB data. Ongoing high-throughput omics assays of collected biosamples and planned whole-genome sequencing will further enhance the scientific value of this biobank.
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Affiliation(s)
- Robin G. Walters
- Nuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, UK
- MRC Population Health Research Unit, University of Oxford, Oxford OX3 7LF, UK
| | - Iona Y. Millwood
- Nuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, UK
- MRC Population Health Research Unit, University of Oxford, Oxford OX3 7LF, UK
| | - Kuang Lin
- Nuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, UK
| | - Dan Schmidt Valle
- Nuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, UK
| | - Pandora McDonnell
- Nuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, UK
| | - Alex Hacker
- Nuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, UK
| | - Daniel Avery
- Nuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, UK
| | - Ahmed Edris
- Nuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, UK
| | - Hannah Fry
- Nuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, UK
| | - Na Cai
- Wellcome Centre for Human Genetics, University of Oxford, Oxford OX3 7BN, UK
| | | | - M. Azim Ansari
- Nuffield Department of Medicine, Oxford University, Oxford OX1 3SY, UK
- NIHR Oxford Biomedical Research Centre, Oxford University Hospitals NHS Foundation Trust, Oxford OX3 9DU, UK
| | - Paul A. Lyons
- Cambridge Institute for Therapeutic Immunology and Infectious Disease, University of Cambridge, Cambridge CB2 0AW, UK
- Department of Medicine, University of Cambridge, Cambridge CB2 0QQ, UK
| | - Rory Collins
- Nuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, UK
| | - Peter Donnelly
- Wellcome Centre for Human Genetics, University of Oxford, Oxford OX3 7BN, UK
| | - Michael Hill
- Nuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, UK
- MRC Population Health Research Unit, University of Oxford, Oxford OX3 7LF, UK
| | - Richard Peto
- Nuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, UK
| | - Hongbing Shen
- Department of Epidemiology, Collaborative Innovation Center for Cancer Medicine, Nanjing Medical University, Nanjing 211116, China
| | - Xin Jin
- BGI-Shenzhen, Shenzhen 518083, China
| | - Chao Nie
- BGI-Shenzhen, Shenzhen 518083, China
| | - Xun Xu
- BGI-Shenzhen, Shenzhen 518083, China
| | - Yu Guo
- Fuwai Hospital, Chinese Academy of Medical Sciences, Beijing 100037, China
| | - Canqing Yu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
- Center for Public Health and Epidemic Preparedness and Response, Peking University, Beijing 100191, China
| | - Jun Lv
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
- Center for Public Health and Epidemic Preparedness and Response, Peking University, Beijing 100191, China
| | - Robert J. Clarke
- Nuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, UK
| | - Liming Li
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
- Center for Public Health and Epidemic Preparedness and Response, Peking University, Beijing 100191, China
| | - Zhengming Chen
- Nuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, UK
- MRC Population Health Research Unit, University of Oxford, Oxford OX3 7LF, UK
| | - China Kadoorie Biobank Collaborative Group
- Nuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, UK
- MRC Population Health Research Unit, University of Oxford, Oxford OX3 7LF, UK
- Wellcome Centre for Human Genetics, University of Oxford, Oxford OX3 7BN, UK
- Nuffield Department of Medicine, Oxford University, Oxford OX1 3SY, UK
- NIHR Oxford Biomedical Research Centre, Oxford University Hospitals NHS Foundation Trust, Oxford OX3 9DU, UK
- Cambridge Institute for Therapeutic Immunology and Infectious Disease, University of Cambridge, Cambridge CB2 0AW, UK
- Department of Medicine, University of Cambridge, Cambridge CB2 0QQ, UK
- Department of Epidemiology, Collaborative Innovation Center for Cancer Medicine, Nanjing Medical University, Nanjing 211116, China
- BGI-Shenzhen, Shenzhen 518083, China
- Fuwai Hospital, Chinese Academy of Medical Sciences, Beijing 100037, China
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
- Center for Public Health and Epidemic Preparedness and Response, Peking University, Beijing 100191, China
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15
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McCarthy CP, Natarajan P. Systolic Blood Pressure and Cardiovascular Risk: Straightening the Evidence. Hypertension 2023; 80:577-579. [PMID: 36791225 PMCID: PMC9942105 DOI: 10.1161/hypertensionaha.123.20788] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/17/2023]
Affiliation(s)
- Cian P McCarthy
- Division of Cardiology, Department of Medicine, Massachusetts General Hospital, Boston (C.P.M., P.N.)
| | - Pradeep Natarajan
- Division of Cardiology, Department of Medicine, Massachusetts General Hospital, Boston (C.P.M., P.N.)
- Cardiovascular Research Center and Center for Genomic Medicine, Massachusetts General Hospital, Boston (P.N.)
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