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Chandra AA, Luciano PD, Swett K, Kaplan R, Talavera GA, Lamar M, Tarraf W, Marquez F, Joshi PH, Gallo L, Sotres-Alvarez D, Gianola M, Daviglus ML, Labovitz DL, Gonzalez H, DeCarli C, Rodriguez CJ. Association of Lp(a) With Stroke and Cerebral Injury on MRI: Insights From the HCHS/SOL (Hispanic Community Health Study/Study of Latinos) and Investigation of Neurocognitive Aging MRI (SOL-INCA MRI). Stroke 2025; 56:1492-1504. [PMID: 40166810 PMCID: PMC12101938 DOI: 10.1161/strokeaha.124.048439] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2024] [Revised: 01/24/2025] [Accepted: 03/07/2025] [Indexed: 04/02/2025]
Abstract
BACKGROUND Lp(a) (lipoprotein[a]) is a risk factor for cardiovascular disease; however, its association with cerebrovascular disease is not as well established. METHODS Data from a population-based cohort of Hispanics/Latinos included 16 333 individuals with baseline Lp(a) levels (nmol/L) and self-reported prevalent stroke or transient ischemic attack (TIA). A subset of 2642 individuals with brain magnetic resonance imaging was also included. Linear and multivariate logistic regression assessed the association of Lp(a) with (1) self-reported stroke or TIA, (2) cerebral injury defined as self-reported stroke or TIA or evidence of a stroke on brain magnetic resonance imaging, (3) white matter hyperintensity volume, and (4) silent brain infarcts. Sampling weights were utilized given the HCHS/SOL (Hispanic Community Health Study/Study of Latinos) complex sample design. RESULTS Mean age±SE was 41.1±0.3 years, 52.0% women, and median interquartile range (Q1, Q3) Lp(a) level of 19.7 (7.3-60.6) nmol/L; brain magnetic resonance imaging subset mean age±SE was 49.9±0.4 years, 56.4% women, and median (interquartile range) Lp(a) level of 21.7 (8.1-62.9) nmol/L. Each unit increase in log-transformed Lp(a) was associated with higher odds of self-reported stroke or TIA (odds ratio, 1.13 [95% CI, 1.01-1.27]; P=0.03). Lp(a) levels in the highest quintile (>77 nmol/L) were significantly associated with higher odds of prevalent stroke or TIA compared with Lp(a) <6 nmol/L (first quintile: odds ratio, 1.74 [95% CI, 1.09-2.77]; P=0.02). The highest proportion of cerebral injury was noted in Q5, while the lowest proportion was noted in Q2. When comparing Lp(a) >77 nmol/L with Lp(a) of 6 to <13 nmol/L (second quintile), a significant association was found between Lp(a) and cerebral injury that persisted after fully adjusted models (odds ratio, 2.03 [95% CI, 1.05-3.93]; P=0.03). Each unit increase in log-Lp(a) was associated with a 0.10 increase in log-white matter hyperintensity (β, 0.10; P=0.005). No significant association was found between Lp(a) and silent brain infarcts. CONCLUSIONS Lp(a) is independently and significantly associated with prevalent stroke/TIA, and white matter hyperintensity, in a large diverse population of Hispanics/Latinos.
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Affiliation(s)
| | | | | | | | | | - Melissa Lamar
- Rush Alzheimer’s Disease Center, Rush University, Chicago, IL
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Clarke R, Wright N, Lin K, Yu C, Walters RG, Lv J, Hill M, Kartsonaki C, Millwood IY, Bennett DA, Avery D, Yang L, Chen Y, Du H, Sherliker P, Yang X, Sun D, Li L, Qu C, Marcovina S, Collins R, Chen Z, Parish S. Causal Relevance of Lp(a) for Coronary Heart Disease and Stroke Types in East Asian and European Ancestry Populations: A Mendelian Randomization Study. Circulation 2025. [PMID: 40297899 DOI: 10.1161/circulationaha.124.072086] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/11/2024] [Accepted: 03/25/2025] [Indexed: 04/30/2025]
Abstract
BACKGROUND Elevated plasma levels of Lp(a) [lipoprotein(a)] are a causal risk factor for coronary heart disease and stroke in European individuals, but the causal relevance of Lp(a) for different stroke types and in East Asian individuals with different Lp(a) genetic architecture is uncertain. METHODS We measured plasma levels of Lp(a) in a nested case-control study of 18 174 adults (mean [SD] age, 57 [10] years; 49% female) in the China Kadoorie Biobank (CKB) and performed a genome-wide association analysis to identify genetic variants affecting Lp(a) levels, with replication in ancestry-specific subsets in UK Biobank. We further performed 2-sample Mendelian randomization analyses, associating ancestry-specific Lp(a)-associated instrumental variants derived from CKB or from published data in European individuals with risk of myocardial infarction (n=17 091), ischemic stroke (IS [n=29 233]) and its subtypes, or intracerebral hemorrhage (n=5845) in East Asian and European individuals using available data from CKB and genome-wide association analysis consortia. RESULTS In CKB observational analyses, plasma levels of Lp(a) were log-linearly and positively associated with higher risks of myocardial infarction and IS, but not with ICH. In genome-wide association analysis, we identified 29 single nucleotide polymorphisms independently associated with Lp(a) that together explained 33% of variance in Lp(a) in Chinese individuals. In UK Biobank, the lead Chinese variants identified in CKB were replicated in 1260 Chinese individuals, but explained only 10% of variance in Lp(a) in European individuals. In Mendelian randomization analyses, however, there were highly concordant effects of Lp(a) across both ancestries for all cardiovascular disease outcomes examined. In combined analyses of both ancestries, the proportional reductions in risk per 100 nmol/L lower genetically predicted Lp(a) levels for myocardial infarction were 3-fold greater than for total IS (rate ratio, 0.78 [95% CI, 0.76-0.81] versus 0.94 [0.92-0.96]), but were similar to those for large-artery IS (0.80 [0.73-0.87]; n=8134). There were weaker associations with cardioembolic IS (0.92 [95% CI, 0.86-0.98]; n=11 730), and no association with small-vessel IS (0.99 [0.91-1.07]; n=12 343) or with intracerebral hemorrhage (1.08 [0.96-1.21]; n=5845). CONCLUSIONS The effects of Lp(a) on risk of myocardial infarction and large-artery IS were comparable in East Asian and European individuals, suggesting that people with either ancestry could expect comparable proportional benefits for equivalent reductions in Lp(a), but there was little effect on other stroke types.
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Affiliation(s)
- Robert Clarke
- Clinical Trial Service Unit, Nuffield Department of Population Health, University of Oxford, UK (R. Clarke, N.W., K.L., R.G.W., M.H., C.K., I.Y.M., D.A.B., D.A., L.Y., Y.C., H.D., P.S., X.Y., R. Collins, Z.C. S.P.)
| | - Neil Wright
- Clinical Trial Service Unit, Nuffield Department of Population Health, University of Oxford, UK (R. Clarke, N.W., K.L., R.G.W., M.H., C.K., I.Y.M., D.A.B., D.A., L.Y., Y.C., H.D., P.S., X.Y., R. Collins, Z.C. S.P.)
| | - Kuang Lin
- Clinical Trial Service Unit, Nuffield Department of Population Health, University of Oxford, UK (R. Clarke, N.W., K.L., R.G.W., M.H., C.K., I.Y.M., D.A.B., D.A., L.Y., Y.C., H.D., P.S., X.Y., R. Collins, Z.C. S.P.)
| | - Canqing Yu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing, China (C.Y., J.L., D.S., L.L.)
- Peking University Center for Public Health and Epidemic Preparedness and Response, Beijing, China (C.Y., J.L., D.S., L.L.)
- Key Laboratory of Major Diseases (Peking University), Ministry of Education, Beijing, China (C.Y., J.L., D.S., L.L.)
| | - Robin G Walters
- Clinical Trial Service Unit, Nuffield Department of Population Health, University of Oxford, UK (R. Clarke, N.W., K.L., R.G.W., M.H., C.K., I.Y.M., D.A.B., D.A., L.Y., Y.C., H.D., P.S., X.Y., R. Collins, Z.C. S.P.)
| | - Jun Lv
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing, China (C.Y., J.L., D.S., L.L.)
- Peking University Center for Public Health and Epidemic Preparedness and Response, Beijing, China (C.Y., J.L., D.S., L.L.)
- Key Laboratory of Major Diseases (Peking University), Ministry of Education, Beijing, China (C.Y., J.L., D.S., L.L.)
| | - Michael Hill
- Clinical Trial Service Unit, Nuffield Department of Population Health, University of Oxford, UK (R. Clarke, N.W., K.L., R.G.W., M.H., C.K., I.Y.M., D.A.B., D.A., L.Y., Y.C., H.D., P.S., X.Y., R. Collins, Z.C. S.P.)
| | - Christiana Kartsonaki
- Clinical Trial Service Unit, Nuffield Department of Population Health, University of Oxford, UK (R. Clarke, N.W., K.L., R.G.W., M.H., C.K., I.Y.M., D.A.B., D.A., L.Y., Y.C., H.D., P.S., X.Y., R. Collins, Z.C. S.P.)
| | - Iona Y Millwood
- Clinical Trial Service Unit, Nuffield Department of Population Health, University of Oxford, UK (R. Clarke, N.W., K.L., R.G.W., M.H., C.K., I.Y.M., D.A.B., D.A., L.Y., Y.C., H.D., P.S., X.Y., R. Collins, Z.C. S.P.)
| | - Derrick A Bennett
- Clinical Trial Service Unit, Nuffield Department of Population Health, University of Oxford, UK (R. Clarke, N.W., K.L., R.G.W., M.H., C.K., I.Y.M., D.A.B., D.A., L.Y., Y.C., H.D., P.S., X.Y., R. Collins, Z.C. S.P.)
| | - Daniel Avery
- Clinical Trial Service Unit, Nuffield Department of Population Health, University of Oxford, UK (R. Clarke, N.W., K.L., R.G.W., M.H., C.K., I.Y.M., D.A.B., D.A., L.Y., Y.C., H.D., P.S., X.Y., R. Collins, Z.C. S.P.)
| | - Ling Yang
- Clinical Trial Service Unit, Nuffield Department of Population Health, University of Oxford, UK (R. Clarke, N.W., K.L., R.G.W., M.H., C.K., I.Y.M., D.A.B., D.A., L.Y., Y.C., H.D., P.S., X.Y., R. Collins, Z.C. S.P.)
| | - Yiping Chen
- Clinical Trial Service Unit, Nuffield Department of Population Health, University of Oxford, UK (R. Clarke, N.W., K.L., R.G.W., M.H., C.K., I.Y.M., D.A.B., D.A., L.Y., Y.C., H.D., P.S., X.Y., R. Collins, Z.C. S.P.)
| | - Huaidong Du
- Clinical Trial Service Unit, Nuffield Department of Population Health, University of Oxford, UK (R. Clarke, N.W., K.L., R.G.W., M.H., C.K., I.Y.M., D.A.B., D.A., L.Y., Y.C., H.D., P.S., X.Y., R. Collins, Z.C. S.P.)
| | - Paul Sherliker
- Clinical Trial Service Unit, Nuffield Department of Population Health, University of Oxford, UK (R. Clarke, N.W., K.L., R.G.W., M.H., C.K., I.Y.M., D.A.B., D.A., L.Y., Y.C., H.D., P.S., X.Y., R. Collins, Z.C. S.P.)
| | - Xiaoming Yang
- Clinical Trial Service Unit, Nuffield Department of Population Health, University of Oxford, UK (R. Clarke, N.W., K.L., R.G.W., M.H., C.K., I.Y.M., D.A.B., D.A., L.Y., Y.C., H.D., P.S., X.Y., R. Collins, Z.C. S.P.)
| | - Dianjianyi Sun
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing, China (C.Y., J.L., D.S., L.L.)
- Peking University Center for Public Health and Epidemic Preparedness and Response, Beijing, China (C.Y., J.L., D.S., L.L.)
- Key Laboratory of Major Diseases (Peking University), Ministry of Education, Beijing, China (C.Y., J.L., D.S., L.L.)
| | - Liming Li
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing, China (C.Y., J.L., D.S., L.L.)
- Peking University Center for Public Health and Epidemic Preparedness and Response, Beijing, China (C.Y., J.L., D.S., L.L.)
- Key Laboratory of Major Diseases (Peking University), Ministry of Education, Beijing, China (C.Y., J.L., D.S., L.L.)
| | - Chan Qu
- NCDs Prevention and Control Department, Liuyang CDC, China (C.Q.)
| | | | - Rory Collins
- Clinical Trial Service Unit, Nuffield Department of Population Health, University of Oxford, UK (R. Clarke, N.W., K.L., R.G.W., M.H., C.K., I.Y.M., D.A.B., D.A., L.Y., Y.C., H.D., P.S., X.Y., R. Collins, Z.C. S.P.)
| | - Zhengming Chen
- Clinical Trial Service Unit, Nuffield Department of Population Health, University of Oxford, UK (R. Clarke, N.W., K.L., R.G.W., M.H., C.K., I.Y.M., D.A.B., D.A., L.Y., Y.C., H.D., P.S., X.Y., R. Collins, Z.C. S.P.)
| | - Sarah Parish
- Clinical Trial Service Unit, Nuffield Department of Population Health, University of Oxford, UK (R. Clarke, N.W., K.L., R.G.W., M.H., C.K., I.Y.M., D.A.B., D.A., L.Y., Y.C., H.D., P.S., X.Y., R. Collins, Z.C. S.P.)
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Huang S, Wu Z, Lan W, Huang J, Wan H, Wang D, Chen JH. Identifying risk factors for recurrent mild ischemic stroke and high-risk population characteristics: A 1-year follow-up study. J Int Med Res 2025; 53:3000605251332585. [PMID: 40287982 PMCID: PMC12035232 DOI: 10.1177/03000605251332585] [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: 11/14/2024] [Accepted: 03/11/2025] [Indexed: 04/29/2025] Open
Abstract
ObjectiveThis observational study examined the risk factors associated with recurrence in patients with mild ischemic stroke and determined the characteristics of high-risk groups.MethodsA total of 656 patients hospitalized for mild ischemic stroke were monitored for 1 year. Statistical analyses, including odds ratio calculations and K-means clustering, were conducted to examine risk factors for recurrence and the characteristics of high-risk groups.ResultsAfter 1 year of follow-up, 99 patients experienced recurrent mild ischemic stroke, resulting in a recurrence rate of 15.09%. The analysis revealed several significant risk factors, including type 2 diabetes mellitus, atrial fibrillation, smoking and alcohol consumption, carotid artery stenosis, cerebral vascular stenosis, and multiple lesions. Propensity score matching confirmed these associations, and K-means clustering revealed that older males with type 2 diabetes mellitus and hypertension were likely to be in the high-risk group.ConclusionsHealthcare professionals should focus on tailored treatment and prevention strategies for high-risk patients, prioritizing the management of the abovementioned risk factors to reduce recurrence and improve outcomes.
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Affiliation(s)
- Shangmeng Huang
- The First Affiliated Hospital, Xiamen University, Xiamen, China
| | - Zhengyu Wu
- School of Public Affairs, Xiamen University, Xiamen, China
| | - Wenbin Lan
- The First Affiliated Hospital, Xiamen University, Xiamen, China
| | - Junqing Huang
- Fujian Xianyou General Hospital, Xiamen University, Xiamen, China
| | - Huijuan Wan
- The First Affiliated Hospital, Xiamen University, Xiamen, China
| | - Dewen Wang
- School of Public Affairs, Xiamen University, Xiamen, China
| | - Jin Han Chen
- The First Affiliated Hospital, Xiamen University, Xiamen, China
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Saba L, Cau R, Vergallo R, Kooi ME, Staub D, Faa G, Congiu T, Ntaios G, Wasserman BA, Benson J, Nardi V, Kawakami R, Lanzino G, Virmani R, Libby P. Carotid artery atherosclerosis: mechanisms of instability and clinical implications. Eur Heart J 2025; 46:904-921. [PMID: 39791527 DOI: 10.1093/eurheartj/ehae933] [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: 06/18/2024] [Revised: 08/25/2024] [Accepted: 12/19/2024] [Indexed: 01/12/2025] Open
Abstract
Cardiovascular disease remains a prominent cause of disability and premature death worldwide. Within this spectrum, carotid artery atherosclerosis is a complex and multifaceted condition, and a prominent precursor of acute ischaemic stroke and other cardiovascular events. The intricate interplay among inflammation, oxidative stress, endothelial dysfunction, lipid metabolism, and immune responses participates in the development of lesions, leading to luminal stenosis and potential plaque instability. Even non-stenotic plaques can precipitate a sudden cerebrovascular event, regardless of the degree of luminal encroachment. In this context, carotid imaging modalities have proved their efficacy in providing in vivo characterization of plaque features, contributing substantially to patient risk stratification and clinical management. This review emphasizes the importance of identifying high-risk individuals by use of current imaging modalities, biomarkers, and risk stratification tools. Such approaches inform early intervention and the implementation of personalized therapeutic strategies, ultimately enhancing patient outcomes in the realm of cardiovascular disease management.
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Affiliation(s)
- Luca Saba
- Department of Radiology, University of Cagliari, Via Università, 40, 09124 Cagliari, Italy
| | - Riccardo Cau
- Department of Radiology, University of Cagliari, Via Università, 40, 09124 Cagliari, Italy
| | - Rocco Vergallo
- Fondazione Policlinico Universitario A. Gemelli IRCCS, Roma, Italy
| | - M Eline Kooi
- Department of Radiology and Nuclear Medicine, CARIM School for Cardiovascular Diseases, Maastricht University Medical Center, Maastricht, The Netherlands
| | - Daniel Staub
- Vascular Medicine/Angiology, University Hospital Basel and University of Basel, Basel, Switzerland
| | - Gavino Faa
- Department of Pathology, University of Cagliari, Cagliari, Italy
| | - Terenzio Congiu
- Department of Pathology, University of Cagliari, Cagliari, Italy
| | - George Ntaios
- Department of Internal Medicine, School of Health Sciences, University of Thessaly, Larissa University Hospital, Larissa 41132, Greece
| | - Bruce A Wasserman
- Department of Diagnostic Radiology & Nuclear Medicine, University of Maryland School of Medicine, MD, USA
- The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins Hospital, MD, USA
| | - John Benson
- Department of Radiology, Mayo Clinic, Rochester, MN, USA
| | - Valentina Nardi
- Department of Cardiovascular Diseases, Mayo Clinic, Rochester, MN, USA
| | - Rika Kawakami
- Department of Cardiovascular Pathology, CVPath Institute, Inc., Gaithersburg, MD, USA
| | | | - Renu Virmani
- Department of Cardiovascular Pathology, CVPath Institute, Gaithersburg, MD, USA
| | - Peter Libby
- Division of Cardiovascular Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
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Choi SE, Bucci T, Huang JY, Yiu KH, Tsang CTW, Lau KK, Hill A, Irving G, Lip GYH, Abdul-Rahim AH. Early statin use is associated with improved survival and cardiovascular outcomes in patients with atrial fibrillation and recent ischaemic stroke: A propensity-matched analysis of a global federated health database. Eur Stroke J 2025; 10:116-127. [PMID: 39254367 PMCID: PMC11558656 DOI: 10.1177/23969873241274213] [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: 05/25/2024] [Accepted: 07/26/2024] [Indexed: 09/11/2024] Open
Abstract
INTRODUCTION Statins reduce recurrent stroke and cardiovascular events in patients with non-cardioembolic stroke. The benefits of statins in patients with AF and recent IS remain unclear. We aimed to investigate the benefits of statins in patients with AF and recent IS. PATIENTS AND METHODS This retrospective, cohort study was conducted using deidentified electronic medical records within TriNetX platform. Patients with AF and recent IS, who received statins within 28 days of their index stroke were propensity score-matched with those who did not. Patients were followed up for up to 2 years. Primary outcomes were the 2-year risk of recurrent IS, all-cause mortality and the composite outcome of all-cause mortality, recurrent IS, transient ischaemic attack (TIA), and acute myocardial infarction (MI). Secondary outcomes were the 2-year risk of TIA, intracranial haemorrhage (ICH), acute MI, and hospital readmission. Cox regression analyses were used to calculate hazard ratios (HRs) with 95% confidence intervals (95%CI). RESULTS Of 20,902 patients with AF and recent IS, 7500 (35.9%) received statins within 28 days of their stroke and 13,402 (64.1%) did not. 11,182 patients (mean age 73.7 ± 11.5; 5277 (47.2%) female) remained after propensity score matching. Patients who received early statins had significantly lower risk of recurrent IS (HR: 0.45, 95%CI: 0.41-0.48, p < 0.001), mortality (HR: 0.75, 95%CI: 0.66-0.84, p < 0.001), the composite outcome (HR: 0.48, 95%CI: 0.45-0.52, p < 0.001), TIA (HR: 0.37, 95%CI: 0.30-0.44, p < 0.001), ICH (HR: 0.59, 95%CI: 0.47-0.72, p < 0.001 ), acute MI (HR: 0.35, 95%CI: 0.30-0.42, p < 0.001) and hospital readmission (HR: 0.46, 95%CI: 0.42-0.50, <0.001). Beneficial effects of early statins were evident in the elderly, different ethnic groups, statin dose intensity, and AF subtypes, large vessel occlusion and embolic strokes and within the context of statin lipophilicity, optimal LDL-cholesterol levels, various cardiovascular comorbidities, treatment with intravenous thrombolysis or endovascular thrombectomy, and NIHSS 0-5 and NIHSS > 5 subgroups. DISCUSSION AND CONCLUSION Patients with AF and recent IS, who received early statins, had a lower risk of recurrent stroke, death, and other cardiovascular outcomes including ICH, compared to those who did not.
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Affiliation(s)
- Sylvia E Choi
- Liverpool Centre for Cardiovascular Science at University of Liverpool, Liverpool John Moores University and Liverpool Heart & Chest Hospital, Liverpool, UK
- Department of Cardiovascular and Metabolic Medicine, Institute of Life Course and Medical Sciences, University of Liverpool, Liverpool, UK
| | - Tommaso Bucci
- Liverpool Centre for Cardiovascular Science at University of Liverpool, Liverpool John Moores University and Liverpool Heart & Chest Hospital, Liverpool, UK
- Department of Cardiovascular and Metabolic Medicine, Institute of Life Course and Medical Sciences, University of Liverpool, Liverpool, UK
- Department of Clinical Internal, Anesthesiologic and Cardiovascular Sciences, Sapienza University of Rome, Rome, Italy
| | - Jia-yi Huang
- Cardiology Division, Department of Medicine, The University of Hong Kong Shen Zhen Hospital, Shen Zhen, China
- Cardiology Division, Department of Medicine, Queen Mary Hospital, The University of Hong Kong, Hong Kong, China
| | - Kai-Hang Yiu
- Cardiology Division, Department of Medicine, The University of Hong Kong Shen Zhen Hospital, Shen Zhen, China
- Cardiology Division, Department of Medicine, Queen Mary Hospital, The University of Hong Kong, Hong Kong, China
| | - Christopher TW Tsang
- Cardiology Division, Department of Medicine, Queen Mary Hospital, The University of Hong Kong, Hong Kong, China
| | - Kui Kai Lau
- Division of Neurology, Department of Medicine, The University of Hong Kong, Hong Kong, China
- State Key Laboratory of Brain and Cognitive Sciences, The University of Hong Kong, Hong Kong, China
| | - Andrew Hill
- Liverpool Centre for Cardiovascular Science at University of Liverpool, Liverpool John Moores University and Liverpool Heart & Chest Hospital, Liverpool, UK
- Stroke Division, Department of Medicine for Older People, Whiston Hospital, Mersey and West Lancashire Teaching Hospitals NHS Trust, Prescot, UK
| | - Greg Irving
- Liverpool Centre for Cardiovascular Science at University of Liverpool, Liverpool John Moores University and Liverpool Heart & Chest Hospital, Liverpool, UK
- Health Research Institute, Edge Hill University Faculty of Health and Social Care, Ormskirk, UK
| | - Gregory YH Lip
- Liverpool Centre for Cardiovascular Science at University of Liverpool, Liverpool John Moores University and Liverpool Heart & Chest Hospital, Liverpool, UK
- Danish Center for Health Services Research, Department of Clinical Medicine, Aalborg University, Aalborg, Denmark
| | - Azmil H Abdul-Rahim
- Liverpool Centre for Cardiovascular Science at University of Liverpool, Liverpool John Moores University and Liverpool Heart & Chest Hospital, Liverpool, UK
- Department of Cardiovascular and Metabolic Medicine, Institute of Life Course and Medical Sciences, University of Liverpool, Liverpool, UK
- Stroke Division, Department of Medicine for Older People, Whiston Hospital, Mersey and West Lancashire Teaching Hospitals NHS Trust, Prescot, UK
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Ip B, Yip T, Hung T, Yam TF, Yeung C, Ko H, Wong G, Leng X, Mok V, Soo Y, Seiffge D, Shoamanesh A, Leung T. Lipid control and stroke risk in atrial fibrillation patients treated with direct oral anticoagulants and statins. Eur Stroke J 2025; 10:137-144. [PMID: 39158514 PMCID: PMC11569511 DOI: 10.1177/23969873241272530] [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: 05/24/2024] [Accepted: 07/08/2024] [Indexed: 08/20/2024] Open
Abstract
INTRODUCTION The risk of ischemic stroke and intracerebral hemorrhage (ICH) with intensive lipid control by statins among patients with atrial fibrillation (AF) who require direct oral anticoagulants (DOAC) is unclear. We aimed to determine the risks of ischemic stroke and ICH in AF patients treated with DOAC and statins. PATIENTS AND METHODS In a population-based retrospective cohort study, we identified AF patients concurrently on DOAC and statins from 2015 to 2021 in Hong Kong. Primary outcome was ischemic stroke. Secondary outcomes were ICH and death. We correlated study outcomes with low-density lipoprotein cholesterol (LDL-C) and high-density lipoprotein cholesterol (HDL-C) as time-varying, continuous variables with restricted cubic spline. In secondary analyses, the risks of study outcomes with statin intensity (low, moderate, high) were determined by multivariable time-dependent marginal structural Cox models. RESULTS We identified 32,752 AF patients co-prescribed with DOAC and statins. Lower LDL-C (p < 0.001) and higher HDL-C (p < 0.001) levels were associated with lower risk of ischemic stroke but not significantly associated with ICH. LDL-C of <1.8 mmol/L (70 mg/dL) was not associated with mortality (19.6% vs 18.4%, difference 1.2% [95% CI -0.35 to 2.13]). High-intensity statin was associated with a lower risk of ischemic stroke compared with low-intensity statin (weighted Cox-specific hazard ratio [95% CI]: 0.82 [0.67-0.99], p = 0.040) independent of LDL-C levels. Similar associations were found in 11,444 AF patients with a history of ischemic stroke. DISCUSSION AND CONCLUSION Intensive lipid control by high-intensity statins was associated with a lower risk of ischemic stroke in AF patients who required DOACs and did not appear to increase the risk of ICH.
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Affiliation(s)
- Bonaventure Ip
- Medical Data Analytics Centre, The Chinese University of Hong Kong, Hong Kong SAR, China
- Department of Medicine and Therapeutics, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
- Li Ka Shing Institute of Health Sciences, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Terry Yip
- Medical Data Analytics Centre, The Chinese University of Hong Kong, Hong Kong SAR, China
- Department of Medicine and Therapeutics, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Trista Hung
- Department of Medicine and Therapeutics, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Tsz-Fai Yam
- Medical Data Analytics Centre, The Chinese University of Hong Kong, Hong Kong SAR, China
- Department of Medicine and Therapeutics, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Carly Yeung
- Department of Medicine and Therapeutics, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Ho Ko
- Department of Medicine and Therapeutics, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
- Li Ka Shing Institute of Health Sciences, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Grace Wong
- Medical Data Analytics Centre, The Chinese University of Hong Kong, Hong Kong SAR, China
- Department of Medicine and Therapeutics, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Xinyi Leng
- Department of Medicine and Therapeutics, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Vincent Mok
- Department of Medicine and Therapeutics, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
- Li Ka Shing Institute of Health Sciences, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Yannie Soo
- Department of Medicine and Therapeutics, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - David Seiffge
- Department of Neurology, Inselspital University Hospital Bern and University of Bern, Bern, Switzerland
| | | | - Thomas Leung
- Department of Medicine and Therapeutics, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
- Li Ka Shing Institute of Health Sciences, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
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7
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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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8
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Chu Y, Li J, Gong L, Shao S, Chen H, He P, Yan J. Casual effect of ulcerative colitis on chronic heart failure: results from a bidirectional Mendelian randomization study. BMC Gastroenterol 2025; 25:95. [PMID: 39979878 PMCID: PMC11841004 DOI: 10.1186/s12876-025-03671-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/28/2024] [Accepted: 02/10/2025] [Indexed: 02/22/2025] Open
Abstract
This study aimed to detect the causal effect of ulcerative colitis (UC) on heart failure. A bidirectional two-sample Mendelian randomization (MR) analysis was performed. The causal impact of UC on heart failure was determined via MR by performing a genome-wide association study in which 4 UCs descending from European ancestors were set as individual exposures. The inverse-variance weighted (IVW) method was used as the main method, and 4 other methods were set as assistant parameters. Susbequently, the MR results were combined with meta-analysis results. The MR Egger method was employed to investigate pleiotropy. The leave-one-out method was utilized for sensitivity analysis. Furthermore, a reverse-directional study was conducted. There was evidence of the causal effect of UC on heart failure in MR estimates using 4 UC datasets. The IVW method revealed that the odds ratio (OR) = 1.03, 95% confidence interval (CI) = 1.01-1.06, P = 0.0441 when the first UC dataset was used; OR = 1.03, 95% CI = 1.01-1.05, P = 0.0445 when the second UC dataset was used; OR = 2046, 95% CI = 1.37-3.05E + 06, P = 0.0409 when the third UC dataset was used; and OR = 8.12E + 04, 95% CI = 29.09-2.27E + 08, P = 0.0052 when the fourth UC dataset was used. A meta-analysis of 4 MR studies revealed that UC had a statistically significant causal effect on heart failure (OR = 1.03, 95% CI = 1.01-1.05; P = 0.0074). Reverse MR analysis revealed that heart failure did not have a causal effect on UC. There was no pleiotropy. This MR study demonstrated that UC had a causal effect on heart failure and that there was no reverse causal effect.
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Affiliation(s)
- Yuzhou Chu
- Department of Tuina, Yueyang Integrated Traditional Chinese and Western Medicine Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, 200437, P. R. China
| | - Jianhua Li
- Department of Cardiovascular, Yueyang Integrated Traditional Chinese and Western Medicine Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, 200437, P. R. China
| | - Li Gong
- Department of Tuina, Yueyang Integrated Traditional Chinese and Western Medicine Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, 200437, P. R. China
| | - Sheng Shao
- Department of Tuina, Yueyang Integrated Traditional Chinese and Western Medicine Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, 200437, P. R. China
| | - Hao Chen
- Department of Tuina, Yueyang Integrated Traditional Chinese and Western Medicine Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, 200437, P. R. China
| | - Pengfei He
- Department of Tuina, Yueyang Integrated Traditional Chinese and Western Medicine Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, 200437, P. R. China
| | - Juntao Yan
- Department of Tuina, Yueyang Integrated Traditional Chinese and Western Medicine Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, 200437, P. R. China.
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Puig N, Camps-Renom P, Hermansson M, Aguilera-Simón A, Marín R, Bautista O, Rotllan N, Blanco-Sanroman N, Domine MC, Öörni K, Sánchez-Quesada JL, Benitez S. Alterations in LDL and HDL after an ischemic stroke associated with carotid atherosclerosis are reversed after 1 year. J Lipid Res 2025; 66:100739. [PMID: 39746448 PMCID: PMC11815653 DOI: 10.1016/j.jlr.2024.100739] [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: 07/09/2024] [Revised: 12/23/2024] [Accepted: 12/24/2024] [Indexed: 01/04/2025] Open
Abstract
Approximately, 20% of ischemic strokes are attributed to the presence of atherosclerosis. Lipoproteins play a crucial role in the development of atherosclerosis, with LDL promoting atherogenesis and HDL inhibiting it. Therefore, both their concentrations and their biological properties are decisive factors in atherosclerotic processes. In this study, we examined the qualitative properties of lipoproteins in ischemic stroke patients with carotid atherosclerosis. Lipoproteins were isolated from the blood of healthy controls (n = 27) and patients with carotid atherosclerosis (n = 64) at 7 days and 1 year postischemic stroke. Compared to controls, patients' LDL 7 days poststroke showed increased levels of apoC-III, triacylglycerol, and ceramide, along with decreased cholesterol and phospholipid content. LDL from patients induced more inflammation in macrophages than did LDL from controls. HDL isolated from patients 7 days after stroke showed alterations in the apolipoprotein cargo, with reduced levels of apoA-I and increased levels of apoA-II, and apoC-III compared to controls. Patients' HDL also showed a higher electronegative charge than that of controls and partially lost its ability to counteract the modification of LDL and the inflammatory effects of modified LDL. One year after stroke onset, the composition of patients' LDL and HDL resembled those of the controls. In parallel, LDL and HDL gained positive charge, LDL became less prone to oxidation and aggregation, and HDL regained protective properties. In conclusion, LDL and HDL in ischemic stroke patients with carotid atherosclerosis exhibited alterations in composition and function, which were partially reversed 1 year after stroke.
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Affiliation(s)
- Núria Puig
- Cardiovascular Biochemistry Group, Institut de Recerca Sant Pau, (IR Sant Pau), Barcelona, Spain
| | - Pol Camps-Renom
- Stroke Unit, Department of Neurology, Hospital de La Santa Creu I Sant Pau, IR Sant Pau, Barcelona, Spain
| | - Martin Hermansson
- Atherosclerosis Research Laboratory, Wihuri Research Institute, Helsinki, Finland
| | - Ana Aguilera-Simón
- Stroke Unit, Department of Neurology, Hospital de La Santa Creu I Sant Pau, IR Sant Pau, Barcelona, Spain
| | - Rebeca Marín
- Stroke Unit, Department of Neurology, Hospital de La Santa Creu I Sant Pau, IR Sant Pau, Barcelona, Spain
| | - Olga Bautista
- Cardiovascular Biochemistry Group, Institut de Recerca Sant Pau, (IR Sant Pau), Barcelona, Spain
| | - Noemi Rotllan
- Pathophysiology of Lipid-Related Diseases, Research Institute Sant Pau (Institut de Recerca Sant Pau, IR Sant Pau), Barcelona, Spain; CIBER of Diabetes and Metabolic Diseases (CIBERDEM), Madrid, Spain
| | | | | | - Katariina Öörni
- Atherosclerosis Research Laboratory, Wihuri Research Institute, Helsinki, Finland
| | - José Luis Sánchez-Quesada
- Cardiovascular Biochemistry Group, Institut de Recerca Sant Pau, (IR Sant Pau), Barcelona, Spain; CIBER of Diabetes and Metabolic Diseases (CIBERDEM), Madrid, Spain.
| | - Sonia Benitez
- Cardiovascular Biochemistry Group, Institut de Recerca Sant Pau, (IR Sant Pau), Barcelona, Spain; CIBER of Diabetes and Metabolic Diseases (CIBERDEM), Madrid, Spain.
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10
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Ding K, Qin X, Wang H, Wang K, Kang X, Yu Y, Liu Y, Gong H, Wu T, Chen D, Hu Y, Wang T, Wu Y. Identification of shared genetic etiology of cardiovascular and cerebrovascular diseases through common cardiometabolic risk factors. Commun Biol 2024; 7:1703. [PMID: 39730871 DOI: 10.1038/s42003-024-07417-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2024] [Accepted: 12/18/2024] [Indexed: 12/29/2024] Open
Abstract
Cardiovascular diseases (CVDs) and cerebrovascular diseases (CeVDs) are closely related vascular diseases, sharing common cardiometabolic risk factors (RFs). Although pleiotropic genetic variants of these two diseases have been reported, their underlying pathological mechanisms are still unclear. Leveraging GWAS summary data and using genetic correlation, pleiotropic variants identification, and colocalization analyses, we identified 11 colocalized loci for CVDs-CeVDs-BP (blood pressure), CVDs-CeVDs-LIP (lipid traits), and CVDs-CeVDs-cIMT (carotid intima-media thickness) triplets. No shared causal loci were found for CVDs-CeVDs-T2D (type 2 diabetes) or CVDs-CeVDs-BMI (body mass index) triplets. The 11 loci were mapped to 12 genes, namely CASZ1, CDKN1A, TWIST1, CDKN2B, ABO, SWAP70, SH2B3, LRCH1, FES, GOSR2, RPRML, and LDLR, where both GOSR2 and RPRML were mapped to one locus. They were enriched in pathways related to cellular response to external stimulus and regulation of the phosphate metabolic process and were highly expressed in endothelial cells, epithelial cells, and smooth muscle cells. Multi-omics analysis revealed methylation of two genes (CASZ1 and LRCH1) may play a causal role in the genetic pleiotropy. Notably, these pleiotropic loci are highly enriched in the targets of antihypertensive drugs, which further emphasizes the role of the blood pressure regulation pathway in the shared etiology of CVDs and CeVDs.
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Affiliation(s)
- Kexin Ding
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University; Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing, China
| | - Xueying Qin
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University; Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing, China.
| | - Huairong Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University; Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing, China
| | - Kun Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University; Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing, China
| | - Xiaoying Kang
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
- Department of Neurology, Brigham and Women's Hospital & Harvard Medical School, Boston, MA, USA
| | - Yao Yu
- Department of Neurology, Peking University People's Hospital, Beijing, China
| | - Yang Liu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University; Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing, China
| | - Haiying Gong
- Fangshan District Center for Disease Control and Prevention, Beijing, China
| | - Tao Wu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University; Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing, China
| | - Dafang Chen
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University; Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing, China
| | - Yonghua Hu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University; Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing, China
| | - Tao Wang
- Department of Epidemiology and Population Health, Yeshiva University Albert Einstein College of Medicine, Bronx, NY, USA
| | - Yiqun Wu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University; Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing, China.
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11
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Benitez S, Puig N, Camps-Renom P, Sánchez-Quesada JL. Atherogenic circulating lipoproteins in ischemic stroke. Front Cardiovasc Med 2024; 11:1470364. [PMID: 39713216 PMCID: PMC11659270 DOI: 10.3389/fcvm.2024.1470364] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2024] [Accepted: 11/22/2024] [Indexed: 12/24/2024] Open
Abstract
The fundamental role of qualitative alterations of lipoproteins in the early development of atherosclerosis has been widely demonstrated. Modified low-density lipoproteins (LDL), such as oxidized LDL (oxLDL), small dense LDL (sdLDL), and electronegative LDL [LDL(-)], are capable of triggering the atherogenic process, favoring the subendothelial accumulation of cholesterol and promoting inflammatory, proliferative, and apoptotic processes characteristic of atherosclerotic lesions. In contrast, high-density lipoprotein (HDL) prevents and/or reverses these atherogenic effects. However, LDL's atherogenic and HDL's anti-atherogenic actions may result altered in certain pathological conditions. The molecular mechanisms underlying the impaired effects of altered lipoproteins have been studied in numerous in vitro and in vivo studies, and have been extensively analyzed in coronary atherosclerosis, especially in the context of pathologies such as dyslipidemia, diabetes, obesity, and metabolic syndrome. However, the corresponding studies are scarcer in the field of ischemic stroke, despite carotid arteriosclerosis progression underlies at least 20% of ischemic strokes. The present review relates qualitative alterations of LDL and HDL with the development of carotid arteriosclerosis and the occurrence of ischemic stroke.
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Affiliation(s)
- Sonia Benitez
- Cardiovascular Biochemistry Group, Institut de Recerca Hospital de Sant Pau (IR Sant Pau), Barcelona, Spain
- CIBER-Diabetes and Metabolic Diseases (CIBERDEM), Madrid, Spain
| | - Núria Puig
- Cardiovascular Biochemistry Group, Institut de Recerca Hospital de Sant Pau (IR Sant Pau), Barcelona, Spain
| | - Pol Camps-Renom
- Stroke Unit, Department of Neurology, Hospital de La Santa Creu I Sant Pau, IR Sant Pau, Barcelona, Spain
| | - José Luis Sánchez-Quesada
- Cardiovascular Biochemistry Group, Institut de Recerca Hospital de Sant Pau (IR Sant Pau), Barcelona, Spain
- CIBER-Diabetes and Metabolic Diseases (CIBERDEM), Madrid, Spain
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12
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Daghlas I, Gill D. Leveraging Mendelian randomization to inform drug discovery and development for ischemic stroke. J Cereb Blood Flow Metab 2024:271678X241305916. [PMID: 39628323 PMCID: PMC11615907 DOI: 10.1177/0271678x241305916] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/18/2024] [Revised: 10/24/2024] [Accepted: 11/22/2024] [Indexed: 12/06/2024]
Abstract
Discovery and development of efficacious and safe pharmacological therapies is fraught with challenges. As proteins constitute the majority of drug targets and are encoded by genes, naturally occurring genetic variation within populations can provide valuable insights to inform drug discovery and development efforts. The drug target Mendelian randomization (MR) paradigm leverages these principles to investigate the causal effects of drug targets in humans. This review examines the application of drug target MR in informing the efficacy and development of therapeutics for ischemic stroke prevention and treatment. We consider applications of MR for existing and novel treatment strategies, including targeting blood pressure, lipid metabolism, coagulation, inflammation and glycemic control. Several of these genetically supported targets are under evaluation in late-stage clinical trials. Methodological limitations of drug target MR are addressed, followed by an outline of future research directions. We anticipate that careful application of drug target MR will enhance the efficiency of drug development for ischemic stroke, consequently accelerating the delivery of effective medications to patients.
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Affiliation(s)
- Iyas Daghlas
- Department of Neurology, University of California San Francisco, San Francisco, CA, USA
| | - Dipender Gill
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
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13
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Xie Y, Liu S, Wang X, Huang H, Wang M, Qu W, Yu Z, Wang W, Luo X. Lipids, Apolipoproteins, Lipid-Lowering Drugs, and the Risk of Cerebral Small Vessel Disease: A Mendelian Randomization Study. J Am Heart Assoc 2024; 13:e032409. [PMID: 39158561 PMCID: PMC11963954 DOI: 10.1161/jaha.123.032409] [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: 12/15/2023] [Accepted: 07/16/2024] [Indexed: 08/20/2024]
Abstract
BACKGROUND Serum lipids are causally involved in the occurrence of atherosclerosis, but their roles in cerebral small vessel disease remain unclear. This study aimed to investigate the causal roles of lipid or apolipoprotein traits in cerebral small vessel disease and to determine the effects of lipid-lowering interventions on this disease. METHODS AND RESULTS Data on genetic instruments of lipids/apolipoproteins, as well as characteristic cerebral small vessel disease manifestations, including small vessel stroke (SVS) and white matter hyperintensity (WMH), were obtained from publicly genome-wide association studies. Through 2-sample Mendelian randomization analyses, it was found that decreased levels of high-density lipoprotein cholesterol (odds ratio [OR], 0.85, P=0.007) and apolipoprotein A-I (OR, 0.83, P=0.005), as well as increased level of triglycerides (OR, 1.16, P=0.025) were associated with a higher risk of SVS. A low level of high-density lipoprotein cholesterol (OR, 0.93, P=0.032) was associated with larger WMH volume. Specifically, the genetically determined expressions of lipid fractions in various size-defined lipoprotein particles were more closely related to the risk of SVS than WMH. Moreover, it was found that the hypertension trait ranked at the top in mediating the causal effect of hyperlipidemia on SVS and WMH by using Mendelian randomization-based mediation analysis. For drug-target Mendelian randomization, the low-density lipoprotein cholesterol-reducing genetic variation alleles at HMGCR and NL1CL1 genes and the high-density lipoprotein cholesterol-raising genetic variation alleles at the CETP gene were predicted to decrease the risk of SVS. CONCLUSIONS The present Mendelian randomization study indicates that genetically determined hyperlipidemia is closely associated with a higher risk of cerebral small vessel disease, especially SVS. Lipid-lowering drugs could be potentially considered for the therapies and preventions of SVS rather than WMH.
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Affiliation(s)
- Yi Xie
- Department of Neurology, Tongji Hospital, Tongji Medical CollegeHuazhong University of Science and TechnologyWuhanChina
- Hubei Key Laboratory of Neural Injury and Functional ReconstructionHuazhong University of Science and TechnologyWuhanChina
| | - Shuai Liu
- Reproductive Medicine Center, Tongji Hospital, Tongji Medicine CollegeHuazhong University of Science and TechnologyWuhanChina
| | - Xinyue Wang
- Department of Neurology, Tongji Hospital, Tongji Medical CollegeHuazhong University of Science and TechnologyWuhanChina
- Hubei Key Laboratory of Neural Injury and Functional ReconstructionHuazhong University of Science and TechnologyWuhanChina
| | - Hao Huang
- Department of Neurology, Tongji Hospital, Tongji Medical CollegeHuazhong University of Science and TechnologyWuhanChina
- Hubei Key Laboratory of Neural Injury and Functional ReconstructionHuazhong University of Science and TechnologyWuhanChina
| | - Minghuan Wang
- Department of Neurology, Tongji Hospital, Tongji Medical CollegeHuazhong University of Science and TechnologyWuhanChina
- Hubei Key Laboratory of Neural Injury and Functional ReconstructionHuazhong University of Science and TechnologyWuhanChina
| | - Wensheng Qu
- Department of Neurology, Tongji Hospital, Tongji Medical CollegeHuazhong University of Science and TechnologyWuhanChina
- Hubei Key Laboratory of Neural Injury and Functional ReconstructionHuazhong University of Science and TechnologyWuhanChina
| | - Zhiyuan Yu
- Department of Neurology, Tongji Hospital, Tongji Medical CollegeHuazhong University of Science and TechnologyWuhanChina
- Hubei Key Laboratory of Neural Injury and Functional ReconstructionHuazhong University of Science and TechnologyWuhanChina
| | - Wei Wang
- Department of Neurology, Tongji Hospital, Tongji Medical CollegeHuazhong University of Science and TechnologyWuhanChina
- Hubei Key Laboratory of Neural Injury and Functional ReconstructionHuazhong University of Science and TechnologyWuhanChina
- Key Laboratory of Neurological Diseases of the Chinese Ministry of Education, School of Basic Medicine, Tongji Medical CollegeHuazhong University of Science and TechnologyWuhanChina
| | - Xiang Luo
- Department of Neurology, Tongji Hospital, Tongji Medical CollegeHuazhong University of Science and TechnologyWuhanChina
- Hubei Key Laboratory of Neural Injury and Functional ReconstructionHuazhong University of Science and TechnologyWuhanChina
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14
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Funabashi S, Kataoka Y, Hori M, Ogura M, Doi T, Morita Y, Kiyoshige E, Nishimura K, Noguchi T, Harada‐Shiba M. Asymptomatic Intracranial Artery Stenosis/Occlusion in Heterozygous Familial Hypercholesterolemia: Its Frequency and Implications for Cerebrovascular and Cardiovascular Events. J Am Heart Assoc 2024; 13:e033972. [PMID: 39011964 PMCID: PMC11964025 DOI: 10.1161/jaha.123.033972] [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: 02/10/2024] [Accepted: 05/23/2024] [Indexed: 07/17/2024]
Abstract
BACKGROUND The atherogenic characteristics of heterozygous familial hypercholesterolemia (HeFH) increase the risk of premature atherosclerotic cardiovascular disease including not only coronary artery disease but ischemic stroke. Asymptomatic intracranial artery stenosis/occlusion (IASO) is a major cause of ischemic stroke, but it has not yet been fully characterized in patients with HeFH. METHODS AND RESULTS This study analyzed 147 clinically diagnosed subjects with HeFH who underwent magnetic resonance imaging/magnetic resonance angiography imaging for evaluation of IASO (≥50% diameter stenosis). Major adverse cerebrovascular and cardiovascular events (cardiac death, ischemic stroke, and acute coronary syndrome) were compared in patients with HeFH with and without asymptomatic IASO. Asymptomatic IASO was observed in 13.6% of patients with HeFH. The untreated low-density lipoprotein cholesterol level (240±95 versus 244±75 mg/dL; P=0.67) did not differ between the 2 groups. Despite the use of lipid-lowering therapies (statin, P=0.71; high-intensity statin, P=0.81; ezetimibe, P=0.33; proprotein convertase subxilisin/kexin type 9 inhibitor, P=0.39; low-density lipoprotein apheresis, P=0.14), on-treatment low-density lipoprotein cholesterol level in patients with both HeFH and IASO was still suboptimally controlled (97±62 versus 105±50 mg/dL; P=0.17), accompanied by a higher triglyceride level (median, 109 versus 79 mg/dL; P=0.001). During the 12.4-year observational period (interquartile range, 6.2-24.6 years), asymptomatic IASO exhibited a 4.04-fold greater likelihood of experiencing a major adverse cardiovascular event (95% CI, 1.71-9.55; P=0.001) in patients with HeFH. This increased risk of a major adverse cardiovascular event was consistently observed in a multivariate Cox proportional hazards model adjusting clinical characteristics (hazard ratio, 4.32 [95% CI, 1.71-10.9]; P=0.002). CONCLUSIONS A total of 13.6% of Japanese subjects with HeFH presented with asymptomatic IASO. Despite lipid-lowering therapies, patients with both HeFH and IASO more likely had elevated risk of cerebrovascular and cardiovascular events. Our findings highlight asymptomatic IASO as a phenotypic feature of HeFH-related atherosclerosis, which ultimately affects future outcomes.
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Affiliation(s)
- Sayaka Funabashi
- Department of Cardiovascular MedicineNational Cerebral and Cardiovascular CenterSuitaJapan
- Department of Cardiovascular MedicineKyorin University Faculty of MedicineMitakaJapan
| | - Yu Kataoka
- Department of Cardiovascular MedicineNational Cerebral and Cardiovascular CenterSuitaJapan
| | - Mika Hori
- Department of Molecular Innovation in Lipidology, National Cerebral and Cardiovascular CenterResearch InstituteSuitaJapan
- Department of Endocrinology Research Institute of Environmental MedicineNagoya UniversityNagoyaJapan
| | - Masatsune Ogura
- Department of Molecular Innovation in Lipidology, National Cerebral and Cardiovascular CenterResearch InstituteSuitaJapan
- Department of Clinical Laboratory Technology, Faculty of Medical ScienceJuntendo UniversityUrayasuJapan
| | - Takahito Doi
- Department of Cardiovascular MedicineNational Cerebral and Cardiovascular CenterSuitaJapan
| | - Yoshiaki Morita
- Department of RadiologyNational Cerebral and Cardiovascular CenterSuitaJapan
| | - Eri Kiyoshige
- Department of Preventive Medicine and EpidemiologyNational Cerebral and Cardiovascular CenterSuitaJapan
| | - Kunihiro Nishimura
- Department of Preventive Medicine and EpidemiologyNational Cerebral and Cardiovascular CenterSuitaJapan
| | - Teruo Noguchi
- Department of Cardiovascular MedicineNational Cerebral and Cardiovascular CenterSuitaJapan
| | - Mariko Harada‐Shiba
- Cardiovascular CenterOsaka Medical and Pharmaceutical UniversityTakatsukiJapan
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15
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Voura EB, Jorgensen TM, Stulb JR, Mulligan ME, Padalino DJ. A Retrospective Analysis of the Underlying Health Status of Patients Treated for Stroke in the Emergency Department of a Community Hospital Situated in a Health Professional Shortage Area. Cureus 2024; 16:e68150. [PMID: 39347207 PMCID: PMC11438578 DOI: 10.7759/cureus.68150] [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] [Accepted: 08/27/2024] [Indexed: 10/01/2024] Open
Abstract
Background Hypertension, diabetes, and hyperlipidemia are known contributors to the incidence of stroke. These and other risk factors such as smoking can be managed with effective primary care, but living in a medically underserved area and racial background can limit access, thereby deleteriously affecting underlying medical conditions and disproportionately contributing to negative stroke outcomes. Our goal is to learn about the on-admission health of 1,731 stroke patients who presented to the Crouse Hospital emergency department (ED) between January 2019 and January 2021 to better understand the circumstances affecting these patients. Crouse Hospital is a community hospital in Syracuse, New York, and an award-winning comprehensive stroke center in the region. The hospital is located in a health professional shortage area (HPSA) and serves both rural and urban patients of various ethnic backgrounds and socioeconomic statuses. Methodology We retrospectively examined the stroke patient data to determine how access to primary care and race affected smoking status, arrival time following the onset of symptoms, stroke severity, thrombolytic administration, and metrics relating to hypertension, diabetes, hyperlipidemia, and depression. Results We determined that, while most patients stated that they had a primary care provider, stroke incidents were typically associated with high blood pressure and high blood glucose despite the prevalence of prescriptions to treat these conditions and that both conditions affected the underserved and non-White patients (Black, Hispanic, Asian, Indigenous, and Other) more so than the served and White populations. Underserved and non-White patients, were also more likely to be associated with smoking behavior. Conclusions The data indicated the major health factors affecting the patients and highlighted those influenced by limited access to primary care and racial background. As a result, we developed a survey to gauge patients' perspectives on primary care and underlying medical conditions before and after their stroke. This patient-centered approach will help refine our stroke education efforts to improve stroke outcomes in the community.
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Affiliation(s)
- Evelyn B Voura
- Crouse Neuroscience Institute, Crouse Health at Crouse Hospital, Crouse Medical Practice, PLLC, Syracuse, USA
- Neuroscience and Physiology Department, State University of New York Upstate Medical University, Syracuse, USA
| | - Tabatha M Jorgensen
- Crouse Neuroscience Institute, Crouse Health at Crouse Hospital, Crouse Medical Practice, PLLC, Syracuse, USA
| | - John R Stulb
- Crouse Neuroscience Institute, Crouse Health at Crouse Hospital, Crouse Medical Practice, PLLC, Syracuse, USA
| | | | - David J Padalino
- Crouse Neuroscience Institute, Crouse Health at Crouse Hospital, Crouse Medical Practice, PLLC, Syracuse, USA
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Zheng L, Zhang C, Bu S, Guo W, Li T, Xu Y, Liu Y, Yuan C, Feng C, Zong G, Zhu J, Xing M, Geng X. The Causal Effect of Serum Lipid Levels Mediated by Neuregulin 4 on the Risk of Four Atherosclerosis Subtypes: Evidence from Mendelian Randomization Analysis. Vasc Health Risk Manag 2024; 20:351-357. [PMID: 39104661 PMCID: PMC11299727 DOI: 10.2147/vhrm.s459075] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2024] [Accepted: 07/20/2024] [Indexed: 08/07/2024] Open
Abstract
Background Neuregulin 4 (NRG4) was known to be associated with serum lipid levels and atherosclerosis. However, it is unknown whether the role of NRG4 in lipid homeostasis is causal to atherosclerosis and whether the effect is beneficial across different atherosclerosis subtypes. Methods We investigated the causal role of the levels of serum low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol, and triglycerides regulated by NRG4 in subtypes of atherosclerosis through two sample Mendelian randomization. Aggregated genome-wide association study (GWAS) summary data for serum lipid level of 1.32 million individuals with European ancestry were obtained from the Global Lipids Genetics Consortium. GWAS summary data for four atherosclerosis subtypes (peripheral, coronary, cerebral and the other atherosclerosis) were obtained from FinnGen Consortium. Generalized inverse-variance-weighted Mendelian randomization and several sensitivity analyses were used to obtain the causal estimates. Results A 1-SD genetically elevated LDL-C level mediated by NRG4 was validated to be nominally associated with the risk of peripheral atherosclerosis (log (odds ratio)= 4.14, 95% confidence interval 0.11 to 8.17, P = 0.04), and the other associations were not significant or could not be validated by sensitivity analyses. Conclusion LDL-C lowering mediated by NRG4 is likely to prevent peripheral atherosclerosis.
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Affiliation(s)
- Longyi Zheng
- Department of Endocrinology, Changhai Hospital, Naval Medical University, Shanghai, People’s Republic of China
| | - Chengjing Zhang
- Department of Nutrition, Shanghai Eastern Hepatobiliary Surgery Hospital, Shanghai, People’s Republic of China
| | - Shichang Bu
- Department of Endocrinology, Changhai Hospital, Naval Medical University, Shanghai, People’s Republic of China
| | - Wencheng Guo
- Department of General Surgery and Vascular Surgery, Huashan Hospital, Fudan University, Shanghai, People’s Republic of China
| | - Tongtong Li
- CAS Key Laboratory of Nutrition, Metabolism and Food Safety, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, People’s Republic of China
| | - Ying Xu
- National Center for Liver Cancer, Naval Medical University, Shanghai, People’s Republic of China
| | - Yunan Liu
- CAS Key Laboratory of Nutrition, Metabolism and Food Safety, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, People’s Republic of China
| | - Caimei Yuan
- CAS Key Laboratory of Nutrition, Metabolism and Food Safety, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, People’s Republic of China
| | - Chengwu Feng
- CAS Key Laboratory of Nutrition, Metabolism and Food Safety, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, People’s Republic of China
| | - Geng Zong
- CAS Key Laboratory of Nutrition, Metabolism and Food Safety, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, People’s Republic of China
| | - Jingwen Zhu
- CAS Key Laboratory of Nutrition, Metabolism and Food Safety, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, People’s Republic of China
| | - Maoying Xing
- National Center for Liver Cancer, Naval Medical University, Shanghai, People’s Republic of China
| | - Xin Geng
- National Center for Liver Cancer, Naval Medical University, Shanghai, People’s Republic of China
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Wang K, Lin X, Sheng S, Chen D, Liu X, Yao K. Association between glaucoma and stroke: A bidirectional mendelian randomization study. ADVANCES IN OPHTHALMOLOGY PRACTICE AND RESEARCH 2024; 4:147-155. [PMID: 39022764 PMCID: PMC11253272 DOI: 10.1016/j.aopr.2024.04.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/06/2023] [Revised: 03/25/2024] [Accepted: 04/15/2024] [Indexed: 07/20/2024]
Abstract
Purpose Observational studies have reported positive associations between glaucoma and stroke; however, controversial results exist. Importantly, the nature of the relationship remains unknown since previous studies were not designed to test causality. Therefore, we aimed to investigate the possible causal relationships between glaucoma and stroke. Methods Our two-sample Mendelian randomization (MR) encompassed multi-ethnic large-scale genome-wide association studies with more than 20000 cases and 260000 controls for glaucoma, and more than 80000 cases and 630000 controls for stroke. Individual effect estimates for each SNP were combined using the inverse-variance weighted (IVW) method. To avoid potential pleiotropic effects, we adjusted the main results by excluding genetic variants associated with metabolic factors. The weighted median and MR-Egger methods were also used for the sensitivity analysis. Results Our MR analysis revealed that glaucoma and its subtypes, including primary open-angle glaucoma and primary angle-closure glaucoma, exhibited no causal role in relation to any stroke (AS), any ischemic stroke (AIS), large-artery atherosclerotic stroke (LAS), small-vessel stroke (SVS), or cardioembolic stroke (CES) across MR analyses (all P > 0.05). The null associations remained robust even after adjusting for metabolic-related traits and were consistent in both the European and Asian populations. Furthermore, reverse MR analyses also did not indicate any significant causal effects of AS, AIS, LAS, or CES on glaucoma risk. Conclusions Evidence from our series of causal inference approaches using large-scale population-based MR analyses did not support causal effects between glaucoma and stroke. These findings suggest that the relationship of glaucoma management and stroke risk prevention should be carefully evaluated in future studies. In turn, stroke diagnosis should not be simply applied to glaucoma risk prediction.
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Affiliation(s)
- Kai Wang
- Eye Center of the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Xueqi Lin
- Department of Ophthalmology, Zhongshan Hospital, Fudan University, Shanghai, China
- Shanghai Institute of Infectious Disease and Biosecurity, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Siting Sheng
- Eye Center of the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Dan Chen
- Eye Center of the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Xin Liu
- Eye Center of the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Ke Yao
- Eye Center of the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
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Yu X, Shen G, Zhang Y, Cui C, Zha Y, Li P, Li L, Wang X, Nan G. Genetically predicted small dense low-density lipoprotein cholesterol and ischemic stroke subtype: multivariable Mendelian randomization study. Front Endocrinol (Lausanne) 2024; 15:1404234. [PMID: 39135627 PMCID: PMC11317295 DOI: 10.3389/fendo.2024.1404234] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/20/2024] [Accepted: 07/12/2024] [Indexed: 08/15/2024] Open
Abstract
Purpose Small dense low-density lipoprotein cholesterol (S-LDL-C) has been suggested as a particularly atherogenic factor for ischemic stroke (IS) in observational studies, but the causality regarding the etiological subtype remains unclear. This study aims to explore the causal effects of small dense low-density lipoprotein cholesterol (S-LDL-C), medium (M-LDL-C) and large (L-LDL-C) subfractions on the lifetime risk of ischemic stroke (IS) and main subtypes using two-sample Mendelian randomization (TSMR) design. Methods We identified genetic instruments for S-LDL-C, M-LDL-C and L-LDL-C from a genome-wide association study of 115 082 UK Biobank participants. Summary-level data for genetic association of any ischemic stroke (AIS), large artery stroke (LAS), small vessel stroke (SVS) and cardioembolic stroke (CES) were obtained from MEGASTROKE consortium. Accounting for the pleiotropic effects of triglycerides (TG) and high-density lipoprotein cholesterol (HDL-C), we conducted multivariable TSMR analysis. Results In univariable TSMR, we found a causal association between genetically predicted S-LDL-C and LAS (IVW-FE: odds ratio (OR) = 1.481, 95% confidence interval (CI): 1.117-1.963, P = 0.006, q = 0.076) but not AIS, SVS or CES. No causal effects were observed for M-LDL-C or L-LDL-C in terms of AIS and IS subtype. In multivariable analysis, the causal association between S-LDL-C and LAS remained significant (IVE-MRE: OR = 1.329, 95% CI: 1.106-1.597, P = 0.002). Conclusions Findings supported a causal association between S-LDL-C and LAS. Further studies are warranted to elucidate the underlying mechanism and clinical benefit of targeting S-LDL-C.
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Affiliation(s)
- Xiao Yu
- China-Japan Union Hospital of Jilin University, Jilin University, Jilin, China
| | - Guangxun Shen
- China-Japan Union Hospital of Jilin University, Jilin University, Jilin, China
| | - Yan Zhang
- China-Japan Union Hospital of Jilin University, Jilin University, Jilin, China
| | - Cancan Cui
- China-Japan Union Hospital of Jilin University, Jilin University, Jilin, China
| | - Yining Zha
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA, United States
| | - Pingan Li
- School of Public Health, Capital Medical University, Beijing, China
| | - Lihong Li
- China-Japan Union Hospital of Jilin University, Jilin University, Jilin, China
| | - Xu Wang
- China-Japan Union Hospital of Jilin University, Jilin University, Jilin, China
| | - Guangxian Nan
- China-Japan Union Hospital of Jilin University, Jilin University, Jilin, China
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Ban HJ, Lee S, Jin HJ. Exploring Stroke Risk through Mendelian Randomization: A Comprehensive Study Integrating Genetics and Metabolic Traits in the Korean Population. Biomedicines 2024; 12:1311. [PMID: 38927518 PMCID: PMC11201557 DOI: 10.3390/biomedicines12061311] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2024] [Revised: 06/11/2024] [Accepted: 06/11/2024] [Indexed: 06/28/2024] Open
Abstract
Numerous risk factors play a role in the causation of stroke, and the cardiometabolic condition is a one of the most important. In Korea, various treatment methods are employed based on the constitutional type, which is known to differ significantly in cardiometabolic disease. In this study, we compared the estimates obtained for different groups by applying the Mendelian randomization method to investigate the causal effects of genetic characteristics on stroke, according to constitutional type. In clinical analysis, the subtypes differ significantly in diabetes or dyslipidemia. The genetic association estimates for the stroke subtype risk were obtained from MEGASTROKE, the International Stroke Genetics Consortium (ISGC), UKbiobank, and BioBank Japan (BBJ), using group-related SNPs as instrumental variables. The TE subtypes with higher risk of metabolic disease were associated with increased risk (beta = 4.190; s.e. = 1.807; p = 0.035) of cardioembolic stroke (CES), and the SE subtypes were associated with decreased risk (beta = -9.336, s.e. = 1.753; p = 3.87 × 10-5) of CES. The findings highlight the importance of personalized medicine in assessing disease risk based on an individual's constitutional type.
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Affiliation(s)
| | | | - Hee-Jeong Jin
- Korean Medicine (KM) Data Division, Korea Institute of Oriental Medicine, Daejeon 34054, Republic of Korea; (H.-J.B.); (S.L.)
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20
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Zhang Y, Chen S, Tian X, Xu Q, Xia X, Zhang X, Li J, Wu S, Wang A. Elevated atherogenic index of plasma associated with stroke risk in general Chinese. Endocrine 2024; 84:934-942. [PMID: 38197990 DOI: 10.1007/s12020-023-03677-0] [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: 09/25/2023] [Accepted: 12/26/2023] [Indexed: 01/11/2024]
Abstract
BACKGROUND AND AIMS The atherogenic index of plasma (AIP) is supposed to be associated with cardiovascular disease (CVD), but there is limited evidence on its longitudinal effect. Our study aimed to explore the associations between baseline and long-term AIP with the risk of stroke and its subtypes. METHODS AND RESULTS A total of 97,959 participants free of stroke at baseline were included in the Kailuan study. The AIP was calculated as the logarithm of the ratio of triglyceride to high-density lipoprotein cholesterol. The updated mean AIP was calculated as the average of the AIP from baseline to the first occurrence of outcome or the end of follow-up. The outcome was the first occurrence of stroke, including ischemic stroke (IS) and intracerebral hemorrhage (ICH). We used univariable and multivariable Cox proportional hazard models to explore the association between AIP and the risk of stroke. During a median follow-up of 12.79 years, a total of 6307 participants developed stroke, including 5482 IS and 1024 ICH. Compared with the 1st quartile of baseline AIP, the multivariate-adjusted HR in the 4th quartile was 1.12 (95% CI, 1.03-1.22, p for trend <0.001) for stroke risk. Same results were found in IS, but no significant association was found for ICH. The associations between updated mean AIP and stroke and its subtypes showed similar results. CONCLUSIONS Elevated levels of both baseline and long-term updated mean AIP were associated with the risk of stroke and IS but not ICH in the general population.
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Affiliation(s)
- Yijun Zhang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- Department of Clinical Epidemiology and Clinical Trial, Capital Medical University, Beijing, China
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China
- Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
| | - Shuohua Chen
- Department of Cardiology, Kailuan Hospital, North China University of Science and Technology, Tangshan, China
| | - Xue Tian
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- Department of Clinical Epidemiology and Clinical Trial, Capital Medical University, Beijing, China
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China
- Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
| | - Qin Xu
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- Department of Clinical Epidemiology and Clinical Trial, Capital Medical University, Beijing, China
| | - Xue Xia
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- Department of Clinical Epidemiology and Clinical Trial, Capital Medical University, Beijing, China
| | - Xiaoli Zhang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- Department of Clinical Epidemiology and Clinical Trial, Capital Medical University, Beijing, China
| | - Jing Li
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- Department of Clinical Epidemiology and Clinical Trial, Capital Medical University, Beijing, China
| | - Shouling Wu
- Department of Cardiology, Kailuan Hospital, North China University of Science and Technology, Tangshan, China.
| | - Anxin Wang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
- China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
- Department of Clinical Epidemiology and Clinical Trial, Capital Medical University, Beijing, China.
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Liu Y, Wang W, Cui X, Lyu J, Xie Y. Exploring Genetic Associations of 3 Types of Risk Factors With Ischemic Stroke: An Integrated Bioinformatics Study. Stroke 2024; 55:1619-1628. [PMID: 38591222 DOI: 10.1161/strokeaha.123.044424] [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: 07/05/2023] [Accepted: 03/29/2024] [Indexed: 04/10/2024]
Abstract
BACKGROUND Ischemic stroke (IS) is a major cause of disability and mortality worldwide. Increasing evidence suggests a strong association between blood pressure, blood glucose, circulating lipids, and IS. Nonetheless, the genetic association of these 3 risk factors with IS remains elusive. METHODS We screened genetic instruments related to blood pressure, blood glucose, and circulating lipids and paired them with IS genome-wide association study data to conduct Mendelian randomization analysis. Positive Mendelian randomization findings were then subjected to colocalization analysis. Subsequently, we utilized the Gene Expression Omnibus data set to perform differential expression analysis, aiming to identify differentially expressed associated genes. We determined the importance scores of these differentially expressed associated genes through 4 machine learning models and constructed a nomogram based on these findings. RESULTS The combined results of the Mendelian randomization analysis indicate that blood pressure (systolic blood pressure: odds ratio [OR], 1.02 [95% CI, 1.01-1.02]; diastolic blood pressure: OR, 1.03 [95% CI, 1.03-1.04]) and some circulating lipids (low-density lipoprotein cholesterol: OR, 1.06 [95% CI, 1.01-1.12]; apoA1: OR, 0.95 [95% CI, 0.92-0.98]; apoB: OR, 1.05 [95% CI, 1.01-1.09]; eicosapentaenoic acid: OR, 2.36 [95% CI, 1.41-3.96]) have causal relationships with the risk of IS onset. We identified 73 genes that are linked to blood pressure and circulating lipids in the context of IS, and 16 are differentially expressed associated genes. FURIN, MAN2A2, HDDC3, ALDH2, and TOMM40 were identified as feature genes for constructing the nomogram that provides a quantitative prediction of the risk of IS onset. CONCLUSIONS This study indicates that there are causal links between blood pressure, certain circulating lipids, and the development of IS. The potential mechanisms underlying these causal relationships involve the regulation of lipid metabolism, blood pressure, DNA repair and methylation, cell apoptosis and autophagy, immune inflammation, and neuronal protection, among others.
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Affiliation(s)
- Yi Liu
- Institute of Basic Research in Clinical Medicine (Y.L., W.W., X.C., Y.X.), China Academy of Chinese Medical Sciences, Beijing
| | - Weili Wang
- Institute of Basic Research in Clinical Medicine (Y.L., W.W., X.C., Y.X.), China Academy of Chinese Medical Sciences, Beijing
| | - Xin Cui
- Institute of Basic Research in Clinical Medicine (Y.L., W.W., X.C., Y.X.), China Academy of Chinese Medical Sciences, Beijing
| | - Jian Lyu
- NMPA Key Laboratory for Clinical Research and Evaluation of Traditional Chinese Medicine, Xiyuan Hospital (J.L.), China Academy of Chinese Medical Sciences, Beijing
- National Clinical Research Center for Chinese Medicine Cardiology, Xiyuan Hospital (J.L.), China Academy of Chinese Medical Sciences, Beijing
| | - Yanming Xie
- Institute of Basic Research in Clinical Medicine (Y.L., W.W., X.C., Y.X.), China Academy of Chinese Medical Sciences, Beijing
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Wang Y, Shen Y, Li Q, Xu H, Gao A, Li K, Rong Y, Gao S, Liang H, Zhang X. Exploring the causal association between genetically determined circulating metabolome and hemorrhagic stroke. Front Nutr 2024; 11:1376889. [PMID: 38812939 PMCID: PMC11133746 DOI: 10.3389/fnut.2024.1376889] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2024] [Accepted: 04/30/2024] [Indexed: 05/31/2024] Open
Abstract
Background Hemorrhagic stroke (HS), a leading cause of death and disability worldwide, has not been clarified in terms of the underlying biomolecular mechanisms of its development. Circulating metabolites have been closely associated with HS in recent years. Therefore, we explored the causal association between circulating metabolomes and HS using Mendelian randomization (MR) analysis and identified the molecular mechanisms of effects. Methods We assessed the causal relationship between circulating serum metabolites (CSMs) and HS using a bidirectional two-sample MR method supplemented with five ways: weighted median, MR Egger, simple mode, weighted mode, and MR-PRESSO. The Cochran Q-test, MR-Egger intercept test, and MR-PRESSO served for the sensitivity analyses. The Steiger test and reverse MR were used to estimate reverse causality. Metabolic pathway analyses were performed using MetaboAnalyst 5.0, and genetic effects were assessed by linkage disequilibrium score regression. Significant metabolites were further synthesized using meta-analysis, and we used multivariate MR to correct for common confounders. Results We finally recognized four metabolites, biliverdin (OR 0.62, 95% CI 0.40-0.96, PMVMR = 0.030), linoleate (18. 2n6) (OR 0.20, 95% CI 0.08-0.54, PMVMR = 0.001),1-eicosadienoylglycerophosphocholine* (OR 2.21, 95% CI 1.02-4.76, PMVMR = 0.044),7-alpha-hydroxy-3 -oxo-4-cholestenoate (7-Hoca) (OR 0.27, 95% CI 0.09-0.77, PMVMR = 0.015) with significant causal relation to HS. Conclusion We demonstrated significant causal associations between circulating serum metabolites and hemorrhagic stroke. Monitoring, diagnosis, and treatment of hemorrhagic stroke by serum metabolites might be a valuable approach.
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Affiliation(s)
- Yaolou Wang
- Department of Neurosurgery, The First Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, China
| | - Yingjie Shen
- Department of Neurosurgery, The First Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, China
| | - Qi Li
- Department of Neurosurgery, The First Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, China
| | - Hangjia Xu
- Department of Neurosurgery, The First Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, China
| | - Aili Gao
- School of Life Science, Northeast Agricultural University, Harbin, Heilongjiang, China
| | - Kuo Li
- School of Life Science, Northeast Agricultural University, Harbin, Heilongjiang, China
| | - Yiwei Rong
- Department of Neurosurgery, The First Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, China
| | - Shang Gao
- Department of Neurosurgery, The First Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, China
| | - Hongsheng Liang
- Department of Neurosurgery, The First Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, China
- NHC Key Laboratory of Cell Transplantation, Harbin, Heilongjiang, China
| | - Xiangtong Zhang
- Department of Neurosurgery, The First Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, China
- NHC Key Laboratory of Cell Transplantation, Harbin, Heilongjiang, China
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Wang M, Zhang X, Fan R, Zhang L. Causal role of immune cell traits in stroke: A Mendelian randomization study. J Stroke Cerebrovasc Dis 2024; 33:107625. [PMID: 38316285 DOI: 10.1016/j.jstrokecerebrovasdis.2024.107625] [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: 10/22/2023] [Revised: 01/04/2024] [Accepted: 02/02/2024] [Indexed: 02/07/2024] Open
Abstract
OBJECTIVES Immune mechanisms play a crucial role in the development of stroke. However, immune-related phenotypes are diverse and their associations with stroke are largely unknown. Here, we aimed to systematically explore the causal role of immune cell traits in stroke and its subtypes by leveraging data from genome-wide association studies (GWASs). MATERIALS AND METHODS Exposure data were obtained from a recent GWAS on 731 immune cell traits profiled by flow cytometry involving 3757 individuals. By conducting two-sample univariable Mendelian randomization (MR) analyses, each immune cell trait was assessed for causal relationships with stroke outcomes from the MEGASTROKE Consortium (40,585 cases and 406,111 controls). The robustness of the MR results was verified by a series of sensitivity analyses. RESULTS We identified three significant associations after Bonferroni correction (P < 1.37E-05). Increased CD27 expression on memory B cell (OR = 1.23, 95% CI = 1.14-1.33, P = 2.78E-08), IgD-CD38dim B cell (OR = 1.16, 95% CI = 1.09-1.23, P = 5.98E-06) and unswitched memory B cell (OR = 1.18, 95% CI = 1.10-1.27, P = 1.09E-05) were associated with a higher risk of large-artery atherosclerotic stroke (LAS). Furthermore, expression quantitative trait loci data also indicated elevated blood CD27 mRNA level was a risk factor for LAS (OR = 1.37, 95% CI = 1.02-1.84, P = 0.037). CONCLUSIONS This study provided genetic evidence of the causal relationship between immune cell traits and stroke, highlighting the role of CD27 on memory B cell as a novel factor for LAS risk.
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Affiliation(s)
- Maiqiu Wang
- School of Biological and Chemical Engineering, Zhejiang University of Science and Technology, Hangzhou, China; Zhejiang Provincial Collaborative Innovation Center of Agricultural Biological Resources Biochemical Manufacturing, Hangzhou, China.
| | - Xu Zhang
- School of Biological and Chemical Engineering, Zhejiang University of Science and Technology, Hangzhou, China; Zhejiang Provincial Collaborative Innovation Center of Agricultural Biological Resources Biochemical Manufacturing, Hangzhou, China.
| | - Rongli Fan
- School of Biological and Chemical Engineering, Zhejiang University of Science and Technology, Hangzhou, China; Zhejiang Provincial Collaborative Innovation Center of Agricultural Biological Resources Biochemical Manufacturing, Hangzhou, China.
| | - Lei Zhang
- School of Biological and Chemical Engineering, Zhejiang University of Science and Technology, Hangzhou, China; Zhejiang Provincial Collaborative Innovation Center of Agricultural Biological Resources Biochemical Manufacturing, Hangzhou, China; School of Information and Electronic Engineering, Zhejiang University of Science and Technology, Hangzhou, China.
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Zhang J, Lu H, Cao M, Zhang J, Liu D, Meng X, Zheng D, Wu L, Liu X, Wang Y. Metabolic Traits and Risk of Ischemic Stroke in Japanese and European Populations: A Two-Sample Mendelian Randomization Study. Metabolites 2024; 14:255. [PMID: 38786732 PMCID: PMC11123267 DOI: 10.3390/metabo14050255] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2024] [Revised: 04/11/2024] [Accepted: 04/22/2024] [Indexed: 05/25/2024] Open
Abstract
The role of metabolic traits in ischemic stroke (IS) has been explored through observational studies and a few Mendelian randomization (MR) studies employing limited methods in European populations. This study aimed to investigate the causal effects of metabolic traits on IS in both East Asian and European populations utilizing multiple MR methods based on genetic insights. Two-sample and multivariable MR were performed, and MR estimates were calculated as inverse-variance weighted (IVW), weighted median, and penalized weighted median. Pleiotropy was assessed by MR-Egger and Mendelian randomization pleiotropy residual sum and outlier tests. Systolic blood pressure (SBP) was associated with an increased risk of IS by IVW in both European (ORIVW: 1.032, 95% CI: 1.026-1.038, p < 0.001) and Japanese populations (ORIVW: 1.870, 95% CI: 1.122-3.116, p = 0.016), which was further confirmed by other methods. Unlike the European population, the evidence for the association of diastolic blood pressure (DBP) with IS in the Japanese population was not stable. No evidence supported an association between the other traits and IS (all Ps > 0.05) in both races. A positive association was found between SBP and IS in two races, while the results of DBP were only robust in Europeans.
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Affiliation(s)
- Jinxia Zhang
- School of Public Health, Capital Medical University, Beijing 100069, China; (J.Z.); (H.L.); (M.C.); (J.Z.); (X.M.); (D.Z.); (L.W.)
- Beijing Key Laboratory of Clinical Epidemiology, Capital Medical University, Beijing 100069, China
| | - Huimin Lu
- School of Public Health, Capital Medical University, Beijing 100069, China; (J.Z.); (H.L.); (M.C.); (J.Z.); (X.M.); (D.Z.); (L.W.)
- Beijing Key Laboratory of Clinical Epidemiology, Capital Medical University, Beijing 100069, China
| | - Mingyang Cao
- School of Public Health, Capital Medical University, Beijing 100069, China; (J.Z.); (H.L.); (M.C.); (J.Z.); (X.M.); (D.Z.); (L.W.)
- Beijing Key Laboratory of Clinical Epidemiology, Capital Medical University, Beijing 100069, China
| | - Jie Zhang
- School of Public Health, Capital Medical University, Beijing 100069, China; (J.Z.); (H.L.); (M.C.); (J.Z.); (X.M.); (D.Z.); (L.W.)
- Beijing Key Laboratory of Clinical Epidemiology, Capital Medical University, Beijing 100069, China
| | - Di Liu
- Centre for Biomedical Information Technology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China
| | - Xiaoni Meng
- School of Public Health, Capital Medical University, Beijing 100069, China; (J.Z.); (H.L.); (M.C.); (J.Z.); (X.M.); (D.Z.); (L.W.)
- Beijing Key Laboratory of Clinical Epidemiology, Capital Medical University, Beijing 100069, China
| | - Deqiang Zheng
- School of Public Health, Capital Medical University, Beijing 100069, China; (J.Z.); (H.L.); (M.C.); (J.Z.); (X.M.); (D.Z.); (L.W.)
- Beijing Key Laboratory of Clinical Epidemiology, Capital Medical University, Beijing 100069, China
| | - Lijuan Wu
- School of Public Health, Capital Medical University, Beijing 100069, China; (J.Z.); (H.L.); (M.C.); (J.Z.); (X.M.); (D.Z.); (L.W.)
- Beijing Key Laboratory of Clinical Epidemiology, Capital Medical University, Beijing 100069, China
| | - Xiangdong Liu
- National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 100069, China
| | - Youxin Wang
- School of Public Health, Capital Medical University, Beijing 100069, China; (J.Z.); (H.L.); (M.C.); (J.Z.); (X.M.); (D.Z.); (L.W.)
- Beijing Key Laboratory of Clinical Epidemiology, Capital Medical University, Beijing 100069, China
- School of Public Health, North China University of Science and Technology, Tangshan 063210, China
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Zhang H, Xu Y, Xu Y. The association of the platelet/high-density lipoprotein cholesterol ratio with self-reported stroke and cardiovascular mortality: a population-based observational study. Lipids Health Dis 2024; 23:121. [PMID: 38659020 PMCID: PMC11040779 DOI: 10.1186/s12944-024-02115-y] [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: 03/17/2024] [Accepted: 04/19/2024] [Indexed: 04/26/2024] Open
Abstract
BACKGROUND Previous studies have shown that the relationship between high-density lipoprotein cholesterol (HDL-C) and stroke is controversial, and the association between the platelet/high-density lipoprotein cholesterol ratio (PHR), a novel marker for inflammation and hypercoagulability states, and stroke has not been established. METHODS This study presents an analysis of cross-sectional data from the 2005-2018 National Health and Nutrition Examination Survey (NHANES). Stroke history, HDL-C levels, and platelet counts were obtained during cross-sectional surveys. The PHR was calculated as the ratio of the number of platelets to HDL-C concentration. Weighted logistic regression was used to assess the associations of HDL-C and the PHR with stroke. Nonlinearity of this relationship was determined through restricted cubic splines (RCSs) and two-piecewise linear regression for identifying inflection points. Furthermore, Cox regression was utilized to prospectively analyze the associations of the PHR and HDL-C concentration with cardiovascular disease (CVD) mortality in stroke survivors. RESULTS A total of 27,301 eligible participants were included in the study; mean age, 47.28 years and 50.57% were female, among whom 1,040 had a history of stroke. After full adjustment, the odds ratio (OR) of stroke associated with a per standard deviation (SD) increase in the PHR was estimated at 1.13 (95% confidence interval (CI): 1.03 - 1.24, P = 0.01), and the OR of stroke associated with a per SD increase in HDL-C was 0.95 (95% CI: 0.86-1.05, P = 0.30). The RCS indicated a nonlinear relationship for both variables (PPHR = 0.018 and PHDL-C = 0.003), and further piecewise linear regression identified inflection points at PHR = 223.684 and HDL-C = 1.4 mmol/L. Segmental regression indicated that in the PHR ≥ 223.684 segment, the estimated OR of stroke associated with a per-SD increase in the PHR was 1.20 (95% CI: 1.09 - 1.31, P < 0.001), while the association of stroke with HDL-C was not significant before or after the inflection point (P > 0.05). Furthermore, Cox regression and RCS showed that a per-SD increase in the PHR was linearly associated with a greater risk of CVD mortality among stroke survivors (HR: 1.14, 95% CI: 1.06 - 1.22, P < 0.001; nonlinear, P = 0.956), while HDL-C was not significantly associated with CVD mortality. CONCLUSION The association between the PHR and stroke incidence exhibited a significant threshold effect, with an inflection point at 223.684. A PHR exceeding 223.684 was positively associated with stroke, while the association between HDL-C and stroke was not significant. Additionally, the PHR was positively and linearly associated with CVD mortality among stroke survivors.
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Affiliation(s)
- Huifeng Zhang
- Department of Cardiovascular, The First Affiliated Hospital, and College of Clinical Medicine of Henan University of Science and Technology, No. 24, Jinghua Road, Jianxi District, Luoyang City, Henan Province, China.
| | - Ying Xu
- Department of Hematology, The First Affiliated Hospital, and College of Clinical Medicine of Henan University of Science and Technology, Luoyang, China
| | - Yaying Xu
- Department of Endocrinology, The First Affiliated Hospital, and College of Clinical Medicine of Henan University of Science and Technology, Luoyang, China
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Xiao B, Cao C, Han Y, Yang F, Hu H, Luo J. A non-linear connection between the total cholesterol to high-density lipoprotein cholesterol ratio and stroke risk: a retrospective cohort study from the China Health and Retirement Longitudinal Study. Eur J Med Res 2024; 29:175. [PMID: 38491452 PMCID: PMC10943863 DOI: 10.1186/s40001-024-01769-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2023] [Accepted: 03/04/2024] [Indexed: 03/18/2024] Open
Abstract
OBJECTIVE The connection between total cholesterol to high-density lipoprotein cholesterol (TC/HDL-C) ratio and stroke risk is controversial. This study aims to examine the connection between the TC/HDL-C ratio and stroke in middle-aged and older individuals who are part of the China Health and Retirement Longitudinal Study (CHARLS). METHODS This study conducted a retrospective cohort analysis, enrolling a total of 10,184 participants who met the designated criteria from CHARLS between 2011 and 2012. We then used the Cox proportional-hazards regression model to analyze the relationship between the TC/HDL-C ratio and stroke risk. Using a Cox proportional hazards regression model with cubic spline functions and smooth curve fitting, we were able to identify the non-linear relationship between the TC/HDL-C ratio and stroke occurrence. The sensitivity and subgroup analyses were also performed to investigate the connection between TC/HDL-C ratio and stroke. RESULTS This study revealed a statistically significant association between the TC/HDL-C ratio and stroke risk in subjects aged 45 years or older after adjusting for risk factors (HR: 1.05, 95%CI 1.00-1.10, P = 0.0410). Furthermore, a non-linear connection between the TC/HDL-C ratio and stroke risk was detected, with a TC/HDL-C ratio inflection point of 3.71. We identified a significant positive connection between the TC/HDL-C ratio and stroke risk, when the TC/HDL-C ratio was less than 3.71 (HR: 1.25, 95%CI 1.07-1.45, P = 0.0039). However, their connection was not significant when the TC/HDL-C ratio exceeded 3.71 (HR: 1.00, 95%CI 0.94-1.06, P = 0.9232). The sensitivity analysis and subgroup analyses revealed that our findings were well-robust. CONCLUSION Our study demonstrated a positive, non-linear connection between the TC/HDL-C ratio and stroke risk in middle-aged and older individuals. There was a significant positive connection between the TC/HDL-C ratio and stroke risk, when the TC/HDL-C ratio was less than 3.71. The current research can be used as a guideline to support clinician consultation and optimize stroke prevention measures for middle-aged and older adults.
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Affiliation(s)
- Binhui Xiao
- Department of Neurosurgery, Shenzhen Yantian District People's Hospital, Southern University of Science and Technology Yantian Hospital, Shenzhen, 518081, Guangdong, China
| | - Changchun Cao
- Department of Rehabilitation, Shenzhen Second People's Hospital, Shenzhen Dapeng New District Nan'ao People's Hospital, No. 6, Renmin Road, Dapeng New District, Shenzhen, 518000, Guangdong, China
| | - Yong Han
- Department of Emergency, The First Affiliated Hospital of Shenzhen University, Shenzhen Second People's Hospital, Shenzhen, 518035, Guangdong, China
| | - Fangju Yang
- Department of Rehabilitation, Shenzhen Second People's Hospital, Shenzhen Dapeng New District Nan'ao People's Hospital, No. 6, Renmin Road, Dapeng New District, Shenzhen, 518000, Guangdong, China.
| | - Haofei Hu
- Department of Nephrology, The First Affiliated Hospital of Shenzhen University, Shenzhen Second People's Hospital, No.3002, Sungang West Road, Futian District, Shenzhen, 518035, Guangdong, China.
| | - Jiao Luo
- Department of Rehabilitation, Shenzhen Second People's Hospital, Shenzhen Dapeng New District Nan'ao People's Hospital, No. 6, Renmin Road, Dapeng New District, Shenzhen, 518000, Guangdong, China.
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Gagnon E, Daghlas I, Zagkos L, Sargurupremraj M, Georgakis MK, Anderson CD, Cronje HT, Burgess S, Arsenault BJ, Gill D. Mendelian Randomization Applied to Neurology: Promises and Challenges. Neurology 2024; 102:e209128. [PMID: 38261980 PMCID: PMC7615637 DOI: 10.1212/wnl.0000000000209128] [Citation(s) in RCA: 20] [Impact Index Per Article: 20.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2023] [Accepted: 11/16/2023] [Indexed: 01/25/2024] Open
Abstract
The Mendelian randomization (MR) paradigm allows for causal inferences to be drawn using genetic data. In recent years, the expansion of well-powered publicly available genetic association data related to phenotypes such as brain tissue gene expression, brain imaging, and neurologic diseases offers exciting opportunities for the application of MR in the field of neurology. In this review, we discuss the basic principles of MR, its myriad applications to research in neurology, and potential pitfalls of injudicious applications. Throughout, we provide examples where MR-informed findings have shed light on long-standing epidemiologic controversies, provided insights into the pathophysiology of neurologic conditions, prioritized drug targets, and informed drug repurposing opportunities. With the ever-expanding availability of genome-wide association data, we project MR to become a key driver of progress in the field of neurology. It is therefore paramount that academics and clinicians within the field are familiar with the approach.
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Affiliation(s)
- Eloi Gagnon
- From the Quebec Heart and Lung Institute (E.G., B.J.A.), Laval University, Quebec, Canada; Department of Neurology (I.D.), University of California San Francisco; Department of Epidemiology and Biostatistics (L.Z., D.G.), School of Public Health, Imperial College London, United Kingdom; Glenn Biggs Institute for Alzheimer's & Neurodegenerative Diseases (M.S.), University of Texas Health Sciences Center, San Antonio; Broad Institute of MIT and Harvard (M.K.G., C.D.A.), Cambridge, MA; Institute for Stroke and Dementia Research (ISD) (M.K.G.), University Hospital, LMU Munich, Germany; Center for Genomic Medicine (C.D.A.), Massachusetts General Hospital; Department of Neurology (C.D.A.), Brigham and Women's Hospital, Boston, MA; Department of Public Health (H.T.C.), Section of Epidemiology, University of Copenhagen, Denmark; MRC Biostatistics Unit (S.B.), and Cardiovascular Epidemiology Unit (S.B.), Department of Public Health and Primary Care, University of Cambridge, United Kingdom; and Department of Medicine (B.J.A.), Faculty of Medicine, Université Laval, Québec, Canada
| | - Iyas Daghlas
- From the Quebec Heart and Lung Institute (E.G., B.J.A.), Laval University, Quebec, Canada; Department of Neurology (I.D.), University of California San Francisco; Department of Epidemiology and Biostatistics (L.Z., D.G.), School of Public Health, Imperial College London, United Kingdom; Glenn Biggs Institute for Alzheimer's & Neurodegenerative Diseases (M.S.), University of Texas Health Sciences Center, San Antonio; Broad Institute of MIT and Harvard (M.K.G., C.D.A.), Cambridge, MA; Institute for Stroke and Dementia Research (ISD) (M.K.G.), University Hospital, LMU Munich, Germany; Center for Genomic Medicine (C.D.A.), Massachusetts General Hospital; Department of Neurology (C.D.A.), Brigham and Women's Hospital, Boston, MA; Department of Public Health (H.T.C.), Section of Epidemiology, University of Copenhagen, Denmark; MRC Biostatistics Unit (S.B.), and Cardiovascular Epidemiology Unit (S.B.), Department of Public Health and Primary Care, University of Cambridge, United Kingdom; and Department of Medicine (B.J.A.), Faculty of Medicine, Université Laval, Québec, Canada
| | - Loukas Zagkos
- From the Quebec Heart and Lung Institute (E.G., B.J.A.), Laval University, Quebec, Canada; Department of Neurology (I.D.), University of California San Francisco; Department of Epidemiology and Biostatistics (L.Z., D.G.), School of Public Health, Imperial College London, United Kingdom; Glenn Biggs Institute for Alzheimer's & Neurodegenerative Diseases (M.S.), University of Texas Health Sciences Center, San Antonio; Broad Institute of MIT and Harvard (M.K.G., C.D.A.), Cambridge, MA; Institute for Stroke and Dementia Research (ISD) (M.K.G.), University Hospital, LMU Munich, Germany; Center for Genomic Medicine (C.D.A.), Massachusetts General Hospital; Department of Neurology (C.D.A.), Brigham and Women's Hospital, Boston, MA; Department of Public Health (H.T.C.), Section of Epidemiology, University of Copenhagen, Denmark; MRC Biostatistics Unit (S.B.), and Cardiovascular Epidemiology Unit (S.B.), Department of Public Health and Primary Care, University of Cambridge, United Kingdom; and Department of Medicine (B.J.A.), Faculty of Medicine, Université Laval, Québec, Canada
| | - Muralidharan Sargurupremraj
- From the Quebec Heart and Lung Institute (E.G., B.J.A.), Laval University, Quebec, Canada; Department of Neurology (I.D.), University of California San Francisco; Department of Epidemiology and Biostatistics (L.Z., D.G.), School of Public Health, Imperial College London, United Kingdom; Glenn Biggs Institute for Alzheimer's & Neurodegenerative Diseases (M.S.), University of Texas Health Sciences Center, San Antonio; Broad Institute of MIT and Harvard (M.K.G., C.D.A.), Cambridge, MA; Institute for Stroke and Dementia Research (ISD) (M.K.G.), University Hospital, LMU Munich, Germany; Center for Genomic Medicine (C.D.A.), Massachusetts General Hospital; Department of Neurology (C.D.A.), Brigham and Women's Hospital, Boston, MA; Department of Public Health (H.T.C.), Section of Epidemiology, University of Copenhagen, Denmark; MRC Biostatistics Unit (S.B.), and Cardiovascular Epidemiology Unit (S.B.), Department of Public Health and Primary Care, University of Cambridge, United Kingdom; and Department of Medicine (B.J.A.), Faculty of Medicine, Université Laval, Québec, Canada
| | - Marios K Georgakis
- From the Quebec Heart and Lung Institute (E.G., B.J.A.), Laval University, Quebec, Canada; Department of Neurology (I.D.), University of California San Francisco; Department of Epidemiology and Biostatistics (L.Z., D.G.), School of Public Health, Imperial College London, United Kingdom; Glenn Biggs Institute for Alzheimer's & Neurodegenerative Diseases (M.S.), University of Texas Health Sciences Center, San Antonio; Broad Institute of MIT and Harvard (M.K.G., C.D.A.), Cambridge, MA; Institute for Stroke and Dementia Research (ISD) (M.K.G.), University Hospital, LMU Munich, Germany; Center for Genomic Medicine (C.D.A.), Massachusetts General Hospital; Department of Neurology (C.D.A.), Brigham and Women's Hospital, Boston, MA; Department of Public Health (H.T.C.), Section of Epidemiology, University of Copenhagen, Denmark; MRC Biostatistics Unit (S.B.), and Cardiovascular Epidemiology Unit (S.B.), Department of Public Health and Primary Care, University of Cambridge, United Kingdom; and Department of Medicine (B.J.A.), Faculty of Medicine, Université Laval, Québec, Canada
| | - Christopher D Anderson
- From the Quebec Heart and Lung Institute (E.G., B.J.A.), Laval University, Quebec, Canada; Department of Neurology (I.D.), University of California San Francisco; Department of Epidemiology and Biostatistics (L.Z., D.G.), School of Public Health, Imperial College London, United Kingdom; Glenn Biggs Institute for Alzheimer's & Neurodegenerative Diseases (M.S.), University of Texas Health Sciences Center, San Antonio; Broad Institute of MIT and Harvard (M.K.G., C.D.A.), Cambridge, MA; Institute for Stroke and Dementia Research (ISD) (M.K.G.), University Hospital, LMU Munich, Germany; Center for Genomic Medicine (C.D.A.), Massachusetts General Hospital; Department of Neurology (C.D.A.), Brigham and Women's Hospital, Boston, MA; Department of Public Health (H.T.C.), Section of Epidemiology, University of Copenhagen, Denmark; MRC Biostatistics Unit (S.B.), and Cardiovascular Epidemiology Unit (S.B.), Department of Public Health and Primary Care, University of Cambridge, United Kingdom; and Department of Medicine (B.J.A.), Faculty of Medicine, Université Laval, Québec, Canada
| | - Helene T Cronje
- From the Quebec Heart and Lung Institute (E.G., B.J.A.), Laval University, Quebec, Canada; Department of Neurology (I.D.), University of California San Francisco; Department of Epidemiology and Biostatistics (L.Z., D.G.), School of Public Health, Imperial College London, United Kingdom; Glenn Biggs Institute for Alzheimer's & Neurodegenerative Diseases (M.S.), University of Texas Health Sciences Center, San Antonio; Broad Institute of MIT and Harvard (M.K.G., C.D.A.), Cambridge, MA; Institute for Stroke and Dementia Research (ISD) (M.K.G.), University Hospital, LMU Munich, Germany; Center for Genomic Medicine (C.D.A.), Massachusetts General Hospital; Department of Neurology (C.D.A.), Brigham and Women's Hospital, Boston, MA; Department of Public Health (H.T.C.), Section of Epidemiology, University of Copenhagen, Denmark; MRC Biostatistics Unit (S.B.), and Cardiovascular Epidemiology Unit (S.B.), Department of Public Health and Primary Care, University of Cambridge, United Kingdom; and Department of Medicine (B.J.A.), Faculty of Medicine, Université Laval, Québec, Canada
| | - Stephen Burgess
- From the Quebec Heart and Lung Institute (E.G., B.J.A.), Laval University, Quebec, Canada; Department of Neurology (I.D.), University of California San Francisco; Department of Epidemiology and Biostatistics (L.Z., D.G.), School of Public Health, Imperial College London, United Kingdom; Glenn Biggs Institute for Alzheimer's & Neurodegenerative Diseases (M.S.), University of Texas Health Sciences Center, San Antonio; Broad Institute of MIT and Harvard (M.K.G., C.D.A.), Cambridge, MA; Institute for Stroke and Dementia Research (ISD) (M.K.G.), University Hospital, LMU Munich, Germany; Center for Genomic Medicine (C.D.A.), Massachusetts General Hospital; Department of Neurology (C.D.A.), Brigham and Women's Hospital, Boston, MA; Department of Public Health (H.T.C.), Section of Epidemiology, University of Copenhagen, Denmark; MRC Biostatistics Unit (S.B.), and Cardiovascular Epidemiology Unit (S.B.), Department of Public Health and Primary Care, University of Cambridge, United Kingdom; and Department of Medicine (B.J.A.), Faculty of Medicine, Université Laval, Québec, Canada
| | - Benoit J Arsenault
- From the Quebec Heart and Lung Institute (E.G., B.J.A.), Laval University, Quebec, Canada; Department of Neurology (I.D.), University of California San Francisco; Department of Epidemiology and Biostatistics (L.Z., D.G.), School of Public Health, Imperial College London, United Kingdom; Glenn Biggs Institute for Alzheimer's & Neurodegenerative Diseases (M.S.), University of Texas Health Sciences Center, San Antonio; Broad Institute of MIT and Harvard (M.K.G., C.D.A.), Cambridge, MA; Institute for Stroke and Dementia Research (ISD) (M.K.G.), University Hospital, LMU Munich, Germany; Center for Genomic Medicine (C.D.A.), Massachusetts General Hospital; Department of Neurology (C.D.A.), Brigham and Women's Hospital, Boston, MA; Department of Public Health (H.T.C.), Section of Epidemiology, University of Copenhagen, Denmark; MRC Biostatistics Unit (S.B.), and Cardiovascular Epidemiology Unit (S.B.), Department of Public Health and Primary Care, University of Cambridge, United Kingdom; and Department of Medicine (B.J.A.), Faculty of Medicine, Université Laval, Québec, Canada
| | - Dipender Gill
- From the Quebec Heart and Lung Institute (E.G., B.J.A.), Laval University, Quebec, Canada; Department of Neurology (I.D.), University of California San Francisco; Department of Epidemiology and Biostatistics (L.Z., D.G.), School of Public Health, Imperial College London, United Kingdom; Glenn Biggs Institute for Alzheimer's & Neurodegenerative Diseases (M.S.), University of Texas Health Sciences Center, San Antonio; Broad Institute of MIT and Harvard (M.K.G., C.D.A.), Cambridge, MA; Institute for Stroke and Dementia Research (ISD) (M.K.G.), University Hospital, LMU Munich, Germany; Center for Genomic Medicine (C.D.A.), Massachusetts General Hospital; Department of Neurology (C.D.A.), Brigham and Women's Hospital, Boston, MA; Department of Public Health (H.T.C.), Section of Epidemiology, University of Copenhagen, Denmark; MRC Biostatistics Unit (S.B.), and Cardiovascular Epidemiology Unit (S.B.), Department of Public Health and Primary Care, University of Cambridge, United Kingdom; and Department of Medicine (B.J.A.), Faculty of Medicine, Université Laval, Québec, Canada
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28
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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: 845] [Impact Index Per Article: 845.0] [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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Qiao F, Guo H, Zhang J, Zhang Q, Liu L, Meng G, Wu H, Gu Y, Song K, Li C, Niu K. Association Between Number of Missing Teeth and Hyperlipidemia: The TCLSIH Cohort Study. J Inflamm Res 2024; 17:1095-1104. [PMID: 38384373 PMCID: PMC10880458 DOI: 10.2147/jir.s443940] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2023] [Accepted: 02/01/2024] [Indexed: 02/23/2024] Open
Abstract
Background To explore the association between the number of missing teeth and the prevalence of hyperlipidemia in a Chinese adult population. Methods 13,932 adults were investigated in the TCLSIH cohort study. The number of missing teeth was determined at baseline through a self-reported questionnaire, and then classified into three categories: 0, 1-2, and ≥3. We defined hyperlipidemia as total cholesterol (TC) ≥ 5.17 mmol/L or triglycerides (TG) ≥ 1.7 mmol/L or low-density lipoprotein (LDL) cholesterol ≥ 3.37 mmol/L or a self-report of physician-diagnosed hyperlipidemia during follow-up visits. Cox proportional-hazards regression models were employed to assess the relationship between the number of missing teeth and incident hyperlipidemia. Results A total of 6756 first-incident cases of hyperlipidemia occurred during 42,048 person-years of follow-up (median follow-up, 4.2 years). After adjusted confounders, multivariable HRs and 95% CI for incident of hyperlipidemia across the categories of missing teeth were as follows: in male participants, 1.00 (reference), 1.10 (0.98, 1.22), and 1.03 (0.91, 1.16) (P for trend = 0.30); in female participants, 1.00 (reference), 1.09 (0.99, 1.19), and 1.18 (1.04, 1.33) (P for trend < 0.01). Conclusion The number of missing teeth is associated with an increased risk of hyperlipidemia in female participants but not in male participants. Systemic chronic inflammation may potentially mediate this association.
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Affiliation(s)
- Feng Qiao
- School of Dentistry, Stomatological Hospital, Tianjin Medical University, Tianjin, People’s Republic of China
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, People’s Republic of China
| | - Hong Guo
- School of Dentistry, Stomatological Hospital, Tianjin Medical University, Tianjin, People’s Republic of China
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, People’s Republic of China
| | - Jing Zhang
- School of Dentistry, Stomatological Hospital, Tianjin Medical University, Tianjin, People’s Republic of China
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, People’s Republic of China
| | - Qing Zhang
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, People’s Republic of China
| | - Li Liu
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, People’s Republic of China
| | - Ge Meng
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, People’s Republic of China
| | - Hongmei Wu
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, People’s Republic of China
| | - Yeqing Gu
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, People’s Republic of China
| | - Kun Song
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, People’s Republic of China
| | - Changyi Li
- School of Dentistry, Stomatological Hospital, Tianjin Medical University, Tianjin, People’s Republic of China
| | - Kaijun Niu
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, People’s Republic of China
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, People’s Republic of China
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Han F. N6-methyladenosine modification in ischemic stroke: Functions, regulation, and therapeutic potential. Heliyon 2024; 10:e25192. [PMID: 38317953 PMCID: PMC10840115 DOI: 10.1016/j.heliyon.2024.e25192] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2023] [Revised: 12/09/2023] [Accepted: 01/22/2024] [Indexed: 02/07/2024] Open
Abstract
N6-methyladenosine (m6A) modification is the most frequently occurring internal modification in eukaryotic RNAs. By modulating various aspects of the RNA life cycle, it has been implicated in a wide range of pathological and physiological processes associated with human diseases. Ischemic stroke is a major cause of death and disability worldwide with few treatment options and a narrow therapeutic window, and accumulating evidence has indicated the involvement of m6A modifications in the development and progression of this type of stroke. In this review, which provides insights for the prevention and clinical treatment of stroke, we present an overview of the roles played by m6A modification in ischemic stroke from three main perspectives: (1) the association of m6A modification with established risk factors for stroke, including hypertension, diabetes mellitus, hyperlipidemia, obesity, and heart disease; (2) the roles of m6A modification regulators and their functional regulation in the pathophysiological injury mechanisms of stroke, namely oxidative stress, mitochondrial dysfunction, endothelial dysfunction, neuroinflammation, and cell death processes; and (3) the diagnostic and therapeutic potential of m6A regulators in the treatment of stroke.
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Affiliation(s)
- Fei Han
- Department of Neurology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, 100730, China
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Sokary S, Bawadi H, Zakaria ZZ, Al-Asmakh M. The Effects of Spirulina Supplementation on Cardiometabolic Risk Factors: A Narrative Review. J Diet Suppl 2024; 21:527-542. [PMID: 38251049 DOI: 10.1080/19390211.2023.2301366] [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] [Indexed: 01/23/2024]
Abstract
Spirulina (Arthrospira platensis) is a cyanobacterium associated with multiple health benefits. Cardiometabolic diseases such as cardiovascular disease, nonalcoholic fatty liver disease, and diabetes are prevalent yet usually preventable non-communicable diseases. Modifiable risk factors for cardiometabolic diseases include excessive body weight, body inflammation, atherogenic lipid profile, and imbalanced glucose metabolism. This review explores the effects of spirulina on cardiometabolic diseases risk factors. Spirulina was effective in reducing body weight, body mass index, and waist circumference, with a potential dose-dependent effect. It also decreased interleukin 6, an important biomarker of body inflammation, by inhibiting NADPH oxidase enzyme, and lowering insulin resistance. spirulina supplementation also reduced triglycerides, low-density lipoprotein cholesterol, and increased high-density lipoprotein cholesterol. Additionally, spirulina reduced fasting blood sugar and post-prandial blood sugar and increased insulin sensitivity, but no effect was observed on glycated hemoglobin A1c. The diverse nutrients, such as phycocyanin, gamma-linolenic acid, and vitamin B12, present in spirulina contribute to its cardiometabolic benefits. The doses used are heterogeneous for most studies, ranging from 1 to 8 grams daily, but most studies administered spirulina for 3 months to observe an effect. The collective evidence suggests that spirulina supplements may help improve risk factors for cardiometabolic diseases, thus, preventing its development. However, due to the heterogeneity of the results, more randomized clinical trials are needed to draw robust conclusions about spirulina's therapeutic potential in ameliorating risk factors for cardiometabolic diseases and fully elucidate the mechanisms by which it exerts its effects.
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Affiliation(s)
- Sara Sokary
- Department of Human Nutrition, College of Health Science, QU-Health, Qatar University, Doha, Qatar
| | - Hiba Bawadi
- Department of Human Nutrition, College of Health Science, QU-Health, Qatar University, Doha, Qatar
| | - Zain Zaki Zakaria
- Vice President for Medical and Health Sciences Office, Health Cluster, Qatar University, Doha, Qatar
| | - Maha Al-Asmakh
- Department of Biomedical Sciences, College of Health Science, QU-Health, Qatar University, Doha, Qatar
- Biomedical Research Centre, Qatar University, Doha, Qatar
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Morton JI, Marquina C, Lloyd M, Watts GF, Zoungas S, Liew D, Ademi Z. Lipid-Lowering Strategies for Primary Prevention of Coronary Heart Disease in the UK: A Cost-Effectiveness Analysis. PHARMACOECONOMICS 2024; 42:91-107. [PMID: 37606881 DOI: 10.1007/s40273-023-01306-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 07/20/2023] [Indexed: 08/23/2023]
Abstract
AIM We aimed to assess the cost effectiveness of four different lipid-lowering strategies for primary prevention of coronary heart disease initiated at ages 30, 40, 50, and 60 years from the UK National Health Service perspective. METHODS We developed a microsimulation model comparing the initiation of a lipid-lowering strategy to current standard of care (control). We included 458,692 participants of the UK Biobank study. The four lipid-lowering strategies were: (1) low/moderate-intensity statins; (2) high-intensity statins; (3) low/moderate-intensity statins and ezetimibe; and (4) inclisiran. The main outcome was the incremental cost-effectiveness ratio for each lipid-lowering strategy compared to the control, with 3.5% annual discounting using 2021 GBP (£); incremental cost-effectiveness ratios were compared to the UK willingness-to-pay threshold of £20,000-£30,000 per quality-adjusted life-year. RESULTS The most effective intervention, low/moderate-intensity statins and ezetimibe, was projected to lead to a gain in quality-adjusted life-years of 0.067 per person initiated at 30 and 0.026 at age 60 years. Initiating therapy at 40 years of age was the most cost effective for all lipid-lowering strategies, with incremental cost-effectiveness ratios of £2553 (95% uncertainty interval: 1270, 3969), £4511 (3138, 6401), £11,107 (8655, 14,508), and £1,406,296 (1,121,775, 1,796,281) per quality-adjusted life-year gained for strategies 1-4, respectively. Incremental cost-effectiveness ratios were lower for male individuals (vs female individuals) and for people with higher (vs lower) low-density lipoprotein-cholesterol. For example, low/moderate-intensity statin use initiated from age 40 years had an incremental cost-effectiveness ratio of £5891 (3822, 9348), £2174 (772, 4216), and was dominant (i.e. cost saving; -2,760, 350) in female individuals with a low-density lipoprotein-cholesterol of ≥ 3.0, ≥ 4.0 and ≥ 5.0 mmol/L, respectively. Inclisiran was not cost effective in any sub-group at its current price. CONCLUSIONS Low-density lipoprotein-cholesterol lowering from early ages is a more cost-effective strategy than late intervention and cost effectiveness increased with the increasing lifetime risk of coronary heart disease.
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Affiliation(s)
- Jedidiah I Morton
- Health Economics and Policy Evaluation Research (HEPER) Group, Centre for Medicine Use and Safety, Faculty of Pharmacy and Pharmaceutical Sciences, Monash University, Melbourne, VIC, Australia
| | - Clara Marquina
- Health Economics and Policy Evaluation Research (HEPER) Group, Centre for Medicine Use and Safety, Faculty of Pharmacy and Pharmaceutical Sciences, Monash University, Melbourne, VIC, Australia
| | - Melanie Lloyd
- Health Economics and Policy Evaluation Research (HEPER) Group, Centre for Medicine Use and Safety, Faculty of Pharmacy and Pharmaceutical Sciences, Monash University, Melbourne, VIC, Australia
| | - Gerald F Watts
- School of Medicine, Faculty of Health and Medical Sciences, University of Western Australia, Perth, WA, Australia
- Lipid Disorders Clinic, Cardiometabolic Service, Department of Cardiology, Royal Perth Hospital, Perth, WA, Australia
- Lipid Disorders Clinic, Cardiometabolic Service, Department of Internal Medicine, Royal Perth Hospital, Perth, WA, Australia
| | - Sophia Zoungas
- School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia
| | - Danny Liew
- Adelaide Medical School, University of Adelaide, Adelaide, SA, Australia
| | - Zanfina Ademi
- Health Economics and Policy Evaluation Research (HEPER) Group, Centre for Medicine Use and Safety, Faculty of Pharmacy and Pharmaceutical Sciences, Monash University, Melbourne, VIC, Australia.
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Lu J, Han G, Liu X, Chen B, Peng K, Shi Y, Zhang M, Yang Y, Cui J, Song L, Xu W, Yang H, He W, Zhang Y, Tian Y, Li Y, Li X. Association of high-density lipoprotein cholesterol with all-cause and cause-specific mortality in a Chinese population of 3.3 million adults: a prospective cohort study. THE LANCET REGIONAL HEALTH. WESTERN PACIFIC 2024; 42:100874. [PMID: 38357392 PMCID: PMC10865023 DOI: 10.1016/j.lanwpc.2023.100874] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/29/2023] [Revised: 06/23/2023] [Accepted: 07/23/2023] [Indexed: 02/16/2024]
Abstract
Background High-density lipoprotein cholesterol (HDL-C) has been inversely associated with cardiovascular disease (CVD) risk, but recent evidence suggests that extremely high levels of HDL-C are paradoxically related to increased CVD incidence and mortality. This study aimed to comprehensively examine the associations of HDL-C with all-cause and cause-specific mortality in a Chinese population. Methods The China Health Evaluation And risk Reduction through nationwide Teamwork (ChinaHEART) project included 3,397,547 participants aged 35-75 years with a median follow-up of 3.9 years. Baseline HDL-C levels were measured, and mortality data was ascertained from the National Mortality Surveillance System and Vital Registration of Chinese Center for Disease Control and Prevention. Findings This study found U-shaped associations of HDL-C with all-cause, cardiovascular and cancer mortality. When compared with the groups with the lowest risk, the adjusted hazard ratios (95% CIs) for HDL-C <30 mg/dL was 1.23 (1.17-1.29), 1.33 (1.23-1.45) and 1.18 (1.09-1.28) for all-cause, CVD and cancer mortality, respectively. For HDL-C >90 mg/dL, the corresponding HR (95% CIs) was 1.10 (1.05-1.15), 1.09 (1.01-1.18) and 1.11 (1.03-1.19). Similar U-shaped patterns were also found in associations of HDL-C with ischemic heart disease, ischemic stroke, and liver cancer. About 3.25% of all-cause mortality could be attributed to abnormal levels of HDL-C. The major contributor to mortality was ischemic heart disease (16.06 deaths per 100,000 persons, 95% UI: 10.30-22.67) for HDL-C <40 mg/dL and esophageal cancer (2.29 deaths per 100,000 persons, 95% UI: 0.57-4.77) for HDL-C >70 mg/dL. Interpretation Both low and high HDL-C were associated with increased mortality risk. We recommended 50-79 mg/dL as the optimal range of HDL-C among Chinese adults. Individuals with dyslipidemia might benefit from proper management of both low and high HDL-C. Funding The CAMS Innovation Fund for Medical Science (2021-1-I2M-011), the National High Level Hospital Clinical Research Funding (2022-GSP-GG-4), the Ministry of Finance of China and National Health Commission of China, and the 111 Project from the Ministry of Education of China (B16005), the Program for Guangdong Introducing Innovative and Enterpreneurial Teams (2019ZT08Y481), Sanming Project of Medicine in Shenzhen (SZSM201811096), the Young Talent Program of the Academician Fund, Fuwai Hospital Chinese Academy of Medical Sciences, Shenzhen (YS-2022-006) and Guangdong Basic and Applied Basic Research Foundation (2023A1515010076 & 2021A1515220173).
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Affiliation(s)
- Jiapeng Lu
- National Clinical Research Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, People’s Republic of China
| | - Guiyuan Han
- Shenzhen Clinical Research Center of Cardiovascular Diseases, Fuwai Hospital Chinese Academy of Medical Sciences, Shenzhen, Shenzhen, People’s Republic of China
| | - Xiaoying Liu
- Shenzhen Clinical Research Center of Cardiovascular Diseases, Fuwai Hospital Chinese Academy of Medical Sciences, Shenzhen, Shenzhen, People’s Republic of China
| | - Bowang Chen
- National Clinical Research Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, People’s Republic of China
| | - Ke Peng
- Shenzhen Clinical Research Center of Cardiovascular Diseases, Fuwai Hospital Chinese Academy of Medical Sciences, Shenzhen, Shenzhen, People’s Republic of China
| | - Yu Shi
- Shenzhen Clinical Research Center of Cardiovascular Diseases, Fuwai Hospital Chinese Academy of Medical Sciences, Shenzhen, Shenzhen, People’s Republic of China
| | - Mei Zhang
- National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, People’s Republic of China
| | - Yang Yang
- National Clinical Research Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, People’s Republic of China
| | - Jianlan Cui
- National Clinical Research Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, People’s Republic of China
| | - Lijuan Song
- National Clinical Research Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, People’s Republic of China
| | - Wei Xu
- National Clinical Research Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, People’s Republic of China
| | - Hao Yang
- National Clinical Research Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, People’s Republic of China
| | - Wenyan He
- National Clinical Research Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, People’s Republic of China
| | - Yan Zhang
- National Clinical Research Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, People’s Republic of China
| | - Yuan Tian
- National Clinical Research Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, People’s Republic of China
| | - Yichong Li
- Shenzhen Clinical Research Center of Cardiovascular Diseases, Fuwai Hospital Chinese Academy of Medical Sciences, Shenzhen, Shenzhen, People’s Republic of China
| | - Xi Li
- National Clinical Research Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, People’s Republic of China
- Central China Sub-center of the National Center for Cardiovascular Diseases, Zhengzhou, People’s Republic of China
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Zhang L, Wang F, Xia K, Yu Z, Fu Y, Huang T, Fan D. Unlocking the Medicinal Mysteries: Preventing Lacunar Stroke with Drug Repurposing. Biomedicines 2023; 12:17. [PMID: 38275377 PMCID: PMC10813761 DOI: 10.3390/biomedicines12010017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2023] [Revised: 12/10/2023] [Accepted: 12/11/2023] [Indexed: 01/27/2024] Open
Abstract
Currently, only the general control of the risk factors is known to prevent lacunar cerebral infarction, but it is unknown which type of medication for controlling the risk factors has a causal relationship with reducing the risk of lacunar infarction. To unlock this medical mystery, drug-target Mendelian randomization analysis was applied to estimate the effect of common antihypertensive agents, hypolipidemic agents, and hypoglycemic agents on lacunar stroke. Lacunar stroke data for the transethnic analysis were derived from meta-analyses comprising 7338 cases and 254,798 controls. We have confirmed that genetic variants mimicking calcium channel blockers were found to most stably prevent lacunar stroke. The genetic variants at or near HMGCR, NPC1L1, and APOC3 were predicted to decrease lacunar stroke incidence in drug-target MR analysis. These variants mimic the effects of statins, ezetimibe, and antisense anti-apoC3 agents, respectively. Genetically proxied GLP1R agonism had a marginal effect on lacunar stroke, while a genetically proxied improvement in overall glycemic control was associated with reduced lacunar stroke risk. Here, we show that certain categories of drugs currently used in clinical practice can more effectively reduce the risk of stroke. Repurposing several drugs with well-established safety and low costs for lacunar stroke prevention should be given high priority when doctors are making decisions in clinical practice. This may contribute to healthier brain aging.
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Affiliation(s)
- Linjing Zhang
- Department of Neurology, Peking University Third Hospital, Beijing 100191, China; (L.Z.); (F.W.); (K.X.); (Z.Y.); (Y.F.)
| | - Fan Wang
- Department of Neurology, Peking University Third Hospital, Beijing 100191, China; (L.Z.); (F.W.); (K.X.); (Z.Y.); (Y.F.)
| | - Kailin Xia
- Department of Neurology, Peking University Third Hospital, Beijing 100191, China; (L.Z.); (F.W.); (K.X.); (Z.Y.); (Y.F.)
| | - Zhou Yu
- Department of Neurology, Peking University Third Hospital, Beijing 100191, China; (L.Z.); (F.W.); (K.X.); (Z.Y.); (Y.F.)
| | - Yu Fu
- Department of Neurology, Peking University Third Hospital, Beijing 100191, China; (L.Z.); (F.W.); (K.X.); (Z.Y.); (Y.F.)
| | - Tao Huang
- Department of Neurology, Peking University Third Hospital, Beijing 100191, China; (L.Z.); (F.W.); (K.X.); (Z.Y.); (Y.F.)
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100871, China
- Center for Intelligent Public Health, Institute for Artificial Intelligence, Peking University, Beijing 100871, China
| | - Dongsheng Fan
- Department of Neurology, Peking University Third Hospital, Beijing 100191, China; (L.Z.); (F.W.); (K.X.); (Z.Y.); (Y.F.)
- Beijing Key Laboratory of Biomarker and Translational Research in Neurodegenerative Diseases, Beijing 100191, China
- Key Laboratory for Neuroscience, National Health Commission/Ministry of Education, Peking University, Beijing 100871, China
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Larsson SC, Butterworth AS, Burgess S. Mendelian randomization for cardiovascular diseases: principles and applications. Eur Heart J 2023; 44:4913-4924. [PMID: 37935836 PMCID: PMC10719501 DOI: 10.1093/eurheartj/ehad736] [Citation(s) in RCA: 284] [Impact Index Per Article: 142.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/01/2023] [Revised: 09/13/2023] [Accepted: 10/17/2023] [Indexed: 11/09/2023] Open
Abstract
Large-scale genome-wide association studies conducted over the last decade have uncovered numerous genetic variants associated with cardiometabolic traits and risk factors. These discoveries have enabled the Mendelian randomization (MR) design, which uses genetic variation as a natural experiment to improve causal inferences from observational data. By analogy with the random assignment of treatment in randomized controlled trials, the random segregation of genetic alleles when DNA is transmitted from parents to offspring at gamete formation is expected to reduce confounding in genetic associations. Mendelian randomization analyses make a set of assumptions that must hold for valid results. Provided that the assumptions are well justified for the genetic variants that are employed as instrumental variables, MR studies can inform on whether a putative risk factor likely has a causal effect on the disease or not. Mendelian randomization has been increasingly applied over recent years to predict the efficacy and safety of existing and novel drugs targeting cardiovascular risk factors and to explore the repurposing potential of available drugs. This review article describes the principles of the MR design and some applications in cardiovascular epidemiology.
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Affiliation(s)
- Susanna C Larsson
- Unit of Medical Epidemiology, Department of Surgical Sciences, Uppsala University, Uppsala, Sweden
- Unit of Cardiovascular and Nutritional Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Adam S Butterworth
- British Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
- Victor Phillip Dahdaleh Heart and Lung Research Institute, University of Cambridge, Papworth Road, Cambridge, UK
- British Heart Foundation Centre of Research Excellence, School of Clinical Medicine, Addenbrooke’s Hospital, University of Cambridge, Cambridge, UK
- Health Data Research UK, Wellcome Genome Campus and University of Cambridge, Hinxton, UK
- NIHR Blood and Transplant Research Unit in Donor Health and Behaviour, University of Cambridge, Cambridge, UK
| | - Stephen Burgess
- British Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
- Victor Phillip Dahdaleh Heart and Lung Research Institute, University of Cambridge, Papworth Road, Cambridge, UK
- MRC Biostatistics Unit, University of Cambridge, Cambridge, UK
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Ebana Y, Liu L, Ihara K, Abe K, Terao C, Kamatani Y, Sasano T, Furukawa T. Genetic risk score of cerebral infarction in atrial fibrillation genome-wide association study. Eur J Clin Invest 2023; 53:e14084. [PMID: 37638535 DOI: 10.1111/eci.14084] [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: 04/04/2023] [Revised: 07/19/2023] [Accepted: 07/23/2023] [Indexed: 08/29/2023]
Abstract
INTRODUCTION Stroke is a leading cause of death and the primary cause of adult-acquired disability. Patients with cardiogenic embolic stroke also have higher mortality and recurrence rates than patients with other stroke subtypes. Atrial fibrillation (AF) is a major risk factor for cerebral infarction (CI). The large-scale study identified 32 loci in the MEGASTROKE study. However, few studies have attempted to identify novel stroke risk variants in patients with a history of AF. Our overall aim was to identify novel CI risk variants in AF cases and explore whether their associations with the CI risk were affected by the CHADS2 and CHA2DS2-VASc scores. METHODS We performed association study with CI using 8181 AF cases in previous genome-wide association study (GWAS) and imputation data without controls. We classified AF cases into those with or without past history of CI, and the genetic associations with the CI risk were examined. RESULTS GWAS identified eight associated loci. The generated genetic risk score (GRS) for the eight loci was significantly associated with CI in patients with AF (1.46 × 10-8 ). We estimated bivariate logistic regression model which contained GRS and CHADS2 score (GRS: p-Value = 7.41 × 10-9 , CHADS2 score: p-Value <2.0 × 10-16 ) or CHA2DS2-VASc scores (GRS: p-Value = 2.52 × 10-10 , CHA2DS2-VASc score: p-Value <2.0 × 10-16 ). CONCLUSION We identified eight genetic variants that were potentially associated with the risk of CI of AF cases and the significant GRS, whose associations were independent of the CHADS2 or CHA2DS2-VASc score.
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Affiliation(s)
- Yusuke Ebana
- Life Science and Bioethics Research Center, Tokyo Medical and Dental University, Bunkyo-Ku, Japan
| | - Lian Liu
- Department of Bio-informational Pharmacology, Medical Research Institute, Tokyo Medical and Dental University, Bunkyo-Ku, Japan
| | - Kensuke Ihara
- Department of Bio-informational Pharmacology, Medical Research Institute, Tokyo Medical and Dental University, Bunkyo-Ku, Japan
| | - Keiko Abe
- Anesthesiology and Clinical Physiology, Department of Oral Restitution, Division of Oral Health Sciences, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University, Bunkyo-Ku, Japan
| | - Chikashi Terao
- Laboratory for Statistical and Translational Genetics, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
| | - Yoichiro Kamatani
- Laboratory for Statistical and Translational Genetics, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
| | - Tetsuo Sasano
- Department of Cardiovascular Medicine, Graduate School of Medicine, Tokyo Medical and Dental University, Bunkyo-Ku, Japan
| | - Tetsushi Furukawa
- Department of Bio-informational Pharmacology, Medical Research Institute, Tokyo Medical and Dental University, Bunkyo-Ku, Japan
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Wang Z, Xiao Y, Lu J, Zou C, Huang W, Zhang J, Liu S, Han L, Jiao F, Tian D, Jiang Y, Du X, Ma RCW, Jiang G. Investigating linear and nonlinear associations of LDL cholesterol with incident chronic kidney disease, atherosclerotic cardiovascular disease and all-cause mortality: A prospective and Mendelian randomization study. Atherosclerosis 2023; 387:117394. [PMID: 38029611 DOI: 10.1016/j.atherosclerosis.2023.117394] [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: 01/31/2023] [Revised: 11/10/2023] [Accepted: 11/15/2023] [Indexed: 12/01/2023]
Abstract
BACKGROUND AND AIMS Observational studies suggest potential nonlinear associations of low-density lipoprotein cholesterol (LDL-C) with cardio-renal diseases and mortality, but the causal nature of these associations is unclear. We aimed to determine the shape of causal relationships of LDL-C with incident chronic kidney disease (CKD), atherosclerotic cardiovascular disease (ASCVD) and all-cause mortality, and to evaluate the absolute risk of adverse outcomes contributed by LDL-C itself. METHODS Observational analysis and one-sample Mendelian randomization (MR) with linear and nonlinear assumptions were performed using the UK Biobank of >0.3 million participants with no reported prescription of lipid-lowering drugs. Two-sample MR on summary-level data from the Global Lipid Genetics Consortium (N = 296,680) and the CKDGen (N = 625,219) was employed to replicate the relationship for kidney traits. The 10-year probabilities of the outcomes was estimated by integrating the MR and Cox models. RESULTS Observationally, participants with low LDL-C were significantly associated with a decreased risk of ASCVD, but an increased risk of CKD and all-cause mortality. Univariable MR showed an inverse total effect of LDL-C on incident CKD (HR [95% CI]:0.84 [0.73-0.96]; p = 0.011), a positive effect on ASCVD (1.41 [1.29-1.53]; p<0.001), and no significant causal effect on all-cause mortality. Multivariable MR, controlling for high-density lipoprotein cholesterol (HDL-C) and triglycerides, identified a positive direct effect on ASCVD (1.32 [1.18-1.47]; p<0.001), but not on CKD and all-cause mortality. These results indicated that genetically predicted low LDL-C had an inverse indirect effect on CKD mediated by HDL-C and triglycerides, which was validated by a two-sample MR analysis using summary-level data from the Global Lipid Genetics Consortium (N = 296,680) and the CKDGen consortium (N = 625,219). Suggestive evidence of a nonlinear causal association between LDL-C and CKD was found. The 10-year probability curve showed that LDL-C concentrations below 3.5 mmol/L were associated with an increased risk of CKD. CONCLUSIONS In the general population, lower LDL-C was causally associated with lower risk of ASCVD, but appeared to have a trade-off for an increased risk of CKD, with not much effect on all-cause mortality. LDL-C concentration below 3.5 mmol/L may increase the risk of CKD.
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Affiliation(s)
- Zhenqian Wang
- School of Public Health (Shenzhen), Sun Yat-sen University, Guangzhou, Guangdong, China; School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen, Guangdong, China
| | - Yang Xiao
- National Clinical Research Centre for Metabolic Diseases, Key Laboratory of Diabetes Immunology, Ministry of Education, Department of Metabolism and Endocrinology, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China
| | - Jiawen Lu
- School of Public Health (Shenzhen), Sun Yat-sen University, Guangzhou, Guangdong, China; School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen, Guangdong, China
| | - Chenfeng Zou
- School of Public Health (Shenzhen), Sun Yat-sen University, Guangzhou, Guangdong, China; School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen, Guangdong, China
| | - Wenyu Huang
- School of Public Health (Shenzhen), Sun Yat-sen University, Guangzhou, Guangdong, China; School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen, Guangdong, China
| | - Jiaying Zhang
- School of Public Health (Shenzhen), Sun Yat-sen University, Guangzhou, Guangdong, China; School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen, Guangdong, China
| | - Siyang Liu
- School of Public Health (Shenzhen), Sun Yat-sen University, Guangzhou, Guangdong, China; School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen, Guangdong, China
| | - Liyuan Han
- Department of Global Health, Ningbo Institute of Life and Health Industry, University of Chinese Academy of Sciences, Ningbo, China
| | - Feng Jiao
- Guangzhou Centre for Applied Mathematics, Guangzhou University, Guangzhou, China
| | - Dechao Tian
- School of Public Health (Shenzhen), Sun Yat-sen University, Guangzhou, Guangdong, China; School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen, Guangdong, China
| | - Yawen Jiang
- School of Public Health (Shenzhen), Sun Yat-sen University, Guangzhou, Guangdong, China; School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen, Guangdong, China
| | - Xiangjun Du
- School of Public Health (Shenzhen), Sun Yat-sen University, Guangzhou, Guangdong, China; School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen, Guangdong, China
| | - Ronald C W Ma
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong SAR, China; Laboratory for Molecular Epidemiology in Diabetes, Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Guozhi Jiang
- School of Public Health (Shenzhen), Sun Yat-sen University, Guangzhou, Guangdong, China; School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen, Guangdong, China.
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Martín-Campos JM, Cárcel-Márquez J, Llucià-Carol L, Lledós M, Cullell N, Muiño E, Gallego-Fabrega C, Fernández-Cadenas I. Causal role of lipid metabolome on the risk of ischemic stroke, its etiological subtypes, and long-term outcome: A Mendelian randomization study. Atherosclerosis 2023; 386:117382. [PMID: 38006695 DOI: 10.1016/j.atherosclerosis.2023.117382] [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: 01/19/2023] [Revised: 09/09/2023] [Accepted: 11/07/2023] [Indexed: 11/27/2023]
Abstract
BACKGROUND AND AIMS The lipid profile is consistently associated with coronary artery disease (CAD) and ischemic stroke (IS). However, the lipoprotein subfractions have not been deeply explored in stroke subtypes, especially in IS outcome. METHODS We performed two-sample Mendelian randomization (MR) analysis using 92 lipid traits measured by nuclear magnetic resonance in 115,000 subjects from the UK Biobank. Data for genetic associations with IS, its subtypes, and long-term outcome (LTO) were obtained from three cohorts of European ancestry: GIGASTROKE (73,652 cases, 1,234,808 controls), GODS (n = 1791) and GISCOME (n = 6165). Results obtained using CARDIoGRAMPlusC4D were used to identify differences with CAD. RESULTS Genetically determined low concentration of medium high-density lipoprotein (HDL) particles (odds ratio (OR) = 0.92, 95% CI 0.88-0.96; p = 3.6 × 10-4) and its cholesterol content (OR = 0.92, 95% CI 0.88-0.96; p = 1.9 × 10-4) showed causal associations with an increased risk of stroke. Genetic predisposition to high apolipoprotein (apo)B to apoA-I ratio was causally associated with an increased risk of IS (OR = 1.12, 95% CI 1.06-1.18, p = 1.1 × 10-4), and a highly suggestive association was found between non-esterified cholesterol in low-density lipoprotein (LDL) and increased risk of atherothrombotic stroke (LAS) (OR = 1.35, 95% CI 1.10-1.66; p = 4.0 × 10-3). Low cholesterol in small and medium LDL was suggestively associated with poor LTO. CONCLUSIONS Our results support that low medium HDL concentration was causally associated with an increased stroke risk, while high levels of non-esterified cholesterol in LDL were suggestively associated with an increased risk of LAS and with a better LTO.
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Affiliation(s)
- Jesús M Martín-Campos
- Stroke Pharmacogenomic and Genetics, Institut d'Investigació Biomèdica Sant Pau (IIB SANT PAU), Barcelona, Spain; Universitat Autònoma de Barcelona, Bellaterra, (Cerdanyola del Vallès), Spain.
| | - Jara Cárcel-Márquez
- Stroke Pharmacogenomic and Genetics, Institut d'Investigació Biomèdica Sant Pau (IIB SANT PAU), Barcelona, Spain
| | - Laia Llucià-Carol
- Stroke Pharmacogenomic and Genetics, Institut d'Investigació Biomèdica Sant Pau (IIB SANT PAU), Barcelona, Spain; Institute for Biomedical Research of Barcelona (IIBB), National Spanish Research Council (CSIC), Barcelona, Spain
| | - Miquel Lledós
- Stroke Pharmacogenomic and Genetics, Institut d'Investigació Biomèdica Sant Pau (IIB SANT PAU), Barcelona, Spain
| | - Natàlia Cullell
- Stroke Pharmacogenomic and Genetics, Institut d'Investigació Biomèdica Sant Pau (IIB SANT PAU), Barcelona, Spain; Neurology, Hospital Universitari Mútua de Terrassa/Fundació Docència I Recerca, Mútua Terrassa, Terrassa, Spain; Facultat de Medicina, Universitat de Barcelona, Barcelona, Spain
| | - Elena Muiño
- Stroke Pharmacogenomic and Genetics, Institut d'Investigació Biomèdica Sant Pau (IIB SANT PAU), Barcelona, Spain
| | - Cristina Gallego-Fabrega
- Stroke Pharmacogenomic and Genetics, Institut d'Investigació Biomèdica Sant Pau (IIB SANT PAU), Barcelona, Spain
| | - Israel Fernández-Cadenas
- Stroke Pharmacogenomic and Genetics, Institut d'Investigació Biomèdica Sant Pau (IIB SANT PAU), Barcelona, Spain
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He Q, Wang W, Li H, Xiong Y, Tao C, Ma L, You C. Genetic insights into the risk of metabolic syndrome and its components on stroke and its subtypes: Bidirectional Mendelian randomization. J Cereb Blood Flow Metab 2023; 43:126-137. [PMID: 37198928 PMCID: PMC10638990 DOI: 10.1177/0271678x231169838] [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: 11/13/2022] [Revised: 01/19/2023] [Accepted: 01/31/2023] [Indexed: 05/19/2023]
Abstract
The role of metabolic syndrome (MetS) on stroke has been explored only in many observational studies. We conducted Mendelian randomization (MR) to clarify whether or not the genetically predicted MetS and its components are causally associated with stroke and its subtypes. Genetic instruments of MetS and its components and outcome data sets for stroke and its subtypes came from the gene-wide association study in the UK Biobank and MEGASTROKE consortium, respectively. Inverse variance weighting was utilized as the main method. Genetically predicted MetS, waist circumference (WC), and hypertension increase the risk of stroke. WC and hypertension are related to increased risk of ischemic stroke. MetS, WC, hypertension, and triglycerides (TG) are causally associated with the increasing of large artery stroke. Hypertension increased the risk of cardioembolic stroke. Hypertension and TG lead to 77.43- and 1.19-fold increases, respectively, in small vessel stroke (SVS) risk. The protective role of high-density lipoprotein cholesterol on SVS is identified. Results of the reverse MR analyses show that stroke is related to hypertension risk. From the genetical variants perspective, our study provides novel evidence that early management of MetS and its components are effective strategies to decrease the risk of stroke and its subtypes.
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Affiliation(s)
- Qiang He
- Department of Neurosurgery, West China Hospital, Sichuan University, Chengdu, China
| | - Wenjing Wang
- Department of Pharmacy, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, China
| | - Hao Li
- State Key Laboratory of Proteomics, National Center for Protein Sciences at Beijing, Beijing Institute of Radiation Medicine, Beijing, China
| | - Yang Xiong
- Department of Urology, West China Hospital, Sichuan University, Chengdu, China
| | - Chuanyuan Tao
- Department of Neurosurgery, West China Hospital, Sichuan University, Chengdu, China
| | - Lu Ma
- Department of Neurosurgery, West China Hospital, Sichuan University, Chengdu, China
| | - Chao You
- Department of Neurosurgery, West China Hospital, Sichuan University, Chengdu, China
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Jia Y, Sun H, Sun L, Wang Y, Xu Q, Liu Y, Chang X, He Y, Guo D, Shi M, Chen GC, Zheng J, Zhang Y, Zhu Z. Mendelian randomization analysis implicates bidirectional associations between brain imaging-derived phenotypes and ischemic stroke. Cereb Cortex 2023; 33:10848-10857. [PMID: 37697910 DOI: 10.1093/cercor/bhad329] [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: 07/24/2023] [Revised: 08/21/2023] [Accepted: 08/22/2023] [Indexed: 09/13/2023] Open
Abstract
Brian imaging-derived phenotypes (IDPs) have been suggested to be associated with ischemic stroke, but the causality between them remains unclear. In this bidirectional two-sample Mendelian randomization (MR) study, we explored the potential causal relationship between 461 imaging-derived phenotypes (n = 33,224, UK Biobank) and ischemic stroke (n = 34,217 cases/406,111 controls, Multiancestry Genome-Wide Association Study of Stroke). Forward MR analyses identified five IDPs associated with ischemic stroke, including mean diffusivity (MD) in the right superior fronto-occipital fasciculus (1.22 [95% CI, 1.11-1.34]), MD in the left superior fronto-occipital fasciculus (1.30 [1.17-1.44]), MD in the anterior limb of the right internal capsule (1.36 [1.22-1.51]), MD in the right anterior thalamic radiation (1.17 [1.09-1.26]), and MD in the right superior thalamic radiation (1.23 [1.11-1.35]). In the reverse MR analyses, ischemic stroke was identified to be associated with three IDPs, including high isotropic or free water volume fraction in the body of corpus callosum (beta, 0.189 [95% confidence interval, 0.107-0.271]), orientation dispersion index in the pontine crossing tract (0.175 [0.093-0.257]), and volume of the third ventricle (0.219 [0.138-0.301]). This bidirectional two-sample MR study suggested five predictors and three diagnostic markers for ischemic stroke at the brain-imaging level. Further studies are warranted to replicate our findings and clarify underlying mechanisms.
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Affiliation(s)
- Yiming Jia
- Department of Epidemiology, School of Public Health, Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Ministry of Education (MOE) Key Laboratory of Geriatric Diseases and Immunology, Suzhou Medical College of Soochow University, Suzhou 215123, China
| | - Hongyan Sun
- Department of Medical Imaging, The Affiliated Guangji Hospital of Soochow University, Suzhou 215137, China
| | - Lulu Sun
- Department of Epidemiology, School of Public Health, Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Ministry of Education (MOE) Key Laboratory of Geriatric Diseases and Immunology, Suzhou Medical College of Soochow University, Suzhou 215123, China
| | - Yinan Wang
- Department of Epidemiology, School of Public Health, Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Ministry of Education (MOE) Key Laboratory of Geriatric Diseases and Immunology, Suzhou Medical College of Soochow University, Suzhou 215123, China
| | - Qingyun Xu
- Department of Epidemiology, School of Public Health, Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Ministry of Education (MOE) Key Laboratory of Geriatric Diseases and Immunology, Suzhou Medical College of Soochow University, Suzhou 215123, China
| | - Yi Liu
- Department of Epidemiology, School of Public Health, Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Ministry of Education (MOE) Key Laboratory of Geriatric Diseases and Immunology, Suzhou Medical College of Soochow University, Suzhou 215123, China
| | - Xinyue Chang
- Department of Epidemiology, School of Public Health, Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Ministry of Education (MOE) Key Laboratory of Geriatric Diseases and Immunology, Suzhou Medical College of Soochow University, Suzhou 215123, China
| | - Yu He
- Department of Epidemiology, School of Public Health, Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Ministry of Education (MOE) Key Laboratory of Geriatric Diseases and Immunology, Suzhou Medical College of Soochow University, Suzhou 215123, China
| | - Daoxia Guo
- School of Nursing, Suzhou Medical College of Soochow University, Suzhou 215123, China
| | - Mengyao Shi
- Department of Epidemiology, School of Public Health, Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Ministry of Education (MOE) Key Laboratory of Geriatric Diseases and Immunology, Suzhou Medical College of Soochow University, Suzhou 215123, China
| | - Guo-Chong Chen
- Department of Nutrition and Food Hygiene, School of Public Health, Suzhou Medical College of Soochow University, Suzhou 215123, China
| | - Jin Zheng
- Department of Neurology, Minhang Hospital, Fudan University, Shanghai 200433, China
| | - Yonghong Zhang
- Department of Epidemiology, School of Public Health, Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Ministry of Education (MOE) Key Laboratory of Geriatric Diseases and Immunology, Suzhou Medical College of Soochow University, Suzhou 215123, China
| | - Zhengbao Zhu
- Department of Epidemiology, School of Public Health, Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Ministry of Education (MOE) Key Laboratory of Geriatric Diseases and Immunology, Suzhou Medical College of Soochow University, Suzhou 215123, China
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Wang Q, Dai H, Hou T, Hou Y, Wang T, Lin H, Zhao Z, Li M, Zheng R, Wang S, Lu J, Xu Y, Liu R, Ning G, Wang W, Bi Y, Zheng J, Xu M. Dissecting Causal Relationships Between Gut Microbiota, Blood Metabolites, and Stroke: A Mendelian Randomization Study. J Stroke 2023; 25:350-360. [PMID: 37813672 PMCID: PMC10574297 DOI: 10.5853/jos.2023.00381] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2023] [Revised: 04/17/2023] [Accepted: 05/23/2023] [Indexed: 10/11/2023] Open
Abstract
BACKGROUND AND PURPOSE We investigated the causal relationships between the gut microbiota (GM), stroke, and potential metabolite mediators using Mendelian randomization (MR). METHODS We leveraged the summary statistics of GM (n=18,340 in the MiBioGen consortium), blood metabolites (n=115,078 in the UK Biobank), and stroke (cases n=60,176 and controls n=1,310,725 in the Global Biobank Meta-Analysis Initiative) from the largest genome-wide association studies to date. We performed bidirectional MR analyses to explore the causal relationships between the GM and stroke, and two mediation analyses, two-step MR and multivariable MR, to discover potential mediating metabolites. RESULTS Ten taxa were causally associated with stroke, and stroke led to changes in 27 taxa. In the two-step MR, Bifidobacteriales order, Bifidobacteriaceae family, Desulfovibrio genus, apolipoprotein A1 (ApoA1), phospholipids in high-density lipoprotein (HDL_PL), and the ratio of apolipoprotein B to ApoA1 (ApoB/ApoA1) were causally associated with stroke (all P<0.044). The causal associations between Bifidobacteriales order, Bifidobacteriaceae family and stroke were validated using the weighted median method in an independent cohort. The three GM taxa were all positively associated with ApoA1 and HDL_PL, whereas Desulfovibrio genus was negatively associated with ApoB/ApoA1 (all P<0.010). Additionally, the causal associations between the three GM taxa and ApoA1 remained significant after correcting for the false discovery rate (all q-values <0.027). Multivariable MR showed that the associations between Bifidobacteriales order, Bifidobacteriaceae family and stroke were mediated by ApoA1 and HDL_PL, each accounting for 6.5% (P=0.028) and 4.6% (P=0.033); the association between Desulfovibrio genus and stroke was mediated by ApoA1, HDL_PL, and ApoB/ApoA1, with mediated proportions of 7.6% (P=0.019), 4.2% (P=0.035), and 9.1% (P=0.013), respectively. CONCLUSION The current MR study provides evidence supporting the causal relationships between several specific GM taxa and stroke and potential mediating metabolites.
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Affiliation(s)
- Qi Wang
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Huajie Dai
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Tianzhichao Hou
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yanan Hou
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Tiange Wang
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Hong Lin
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Zhiyun Zhao
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Mian Li
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Ruizhi Zheng
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Shuangyuan Wang
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jieli Lu
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yu Xu
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Ruixin Liu
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Guang Ning
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Weiqing Wang
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yufang Bi
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jie Zheng
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- MRC Integrative Epidemiology Unit, Bristol Medical School, University of Bristol, Bristol, UK
| | - Min Xu
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
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Harshfield EL, Markus HS. Association of Baseline Metabolomic Profiles With Incident Stroke and Dementia and With Imaging Markers of Cerebral Small Vessel Disease. Neurology 2023; 101:e489-e501. [PMID: 37290969 PMCID: PMC10401678 DOI: 10.1212/wnl.0000000000207458] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2022] [Accepted: 04/13/2023] [Indexed: 06/10/2023] Open
Abstract
BACKGROUND AND OBJECTIVES Cerebral small vessel disease is a major cause of stroke and dementia. Metabolomics can help identify novel risk factors to better understand pathogenesis and predict disease progression and severity. METHODS We analyzed baseline metabolomic profiles from 118,021 UK Biobank participants. We examined cross-sectional associations of 325 metabolites with MRI markers of small vessel disease, evaluated longitudinal associations with incident stroke and dementia, and ascertained causal relationships using Mendelian randomization. RESULTS In cross-sectional analyses, lower levels of apolipoproteins, free cholesterol, cholesteryl esters, fatty acids, lipoprotein particle concentrations, phospholipids, and triglycerides were associated with increased white matter microstructural damage on diffusion tensor MRI. In longitudinal analyses, lipoprotein subclasses of very large high-density lipoprotein cholesterol (HDL) were associated with an increased risk of stroke, and acetate and 3-hydroxybutyrate were associated with an increased risk of dementia. Mendelian randomization analyses identified strong evidence supporting causal relationships for many findings. A few metabolites had consistent associations across multiple analysis types. Increased total lipids in very large HDL and increased HDL particle size were associated with increased white matter damage (lower fractional anisotropy: OR: 1.44, 95% CI 1.07-1.95, and OR: 1.19, 95% CI 1.06-1.34, respectively; mean diffusivity: OR: 1.49, 95% CI 1.11-2.01, and OR: 1.24, 95% CI 1.11-1.40, respectively) and an increased risk of incident all stroke (HR: 4.04, 95% CI 2.13-7.64, and HR: 1.54, 95% CI 1.20-1.98, respectively) and ischemic stroke (HR: 3.12, 95% CI 1.53-6.38; HR: 1.37, 95% CI 1.04-1.81). Valine was associated with decreased mean diffusivity (OR: 0.51, 95% CI 0.30-0.88) and had a protective association with all-cause dementia (HR: 0.008, 95% CI 0.002-0.035). Increased levels of cholesterol in small HDL were associated with a decreased risk of incident all stroke (HR: 0.17, 95% CI 0.08-0.39) and ischemic stroke (HR: 0.19, 95% CI 0.08-0.46) and were supported by evidence of a causal association with MRI-confirmed lacunar stroke (OR: 0.96, 95% CI 0.93-0.99). DISCUSSION In this large-scale metabolomics study, we found multiple metabolites associated with stroke, dementia, and MRI markers of small vessel disease. Further studies may help inform the development of personalized prediction models and provide insights into mechanistic pathways and future treatment approaches.
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Affiliation(s)
- Eric L Harshfield
- From the Stroke Research Group (E.L.H., H.S.M.), Department of Clinical Neurosciences, University of Cambridge; and Victor Phillip Dahdaleh Heart and Lung Research Institute (E.L.H., H.S.M.), University of Cambridge, United Kingdom.
| | - Hugh S Markus
- From the Stroke Research Group (E.L.H., H.S.M.), Department of Clinical Neurosciences, University of Cambridge; and Victor Phillip Dahdaleh Heart and Lung Research Institute (E.L.H., H.S.M.), University of Cambridge, United Kingdom
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Le NN, Tran TQB, du Toit C, Gill D, Padmanabhan S. Establishing plausibility of cardiovascular adverse effects of immunotherapies using Mendelian randomisation. Front Cardiovasc Med 2023; 10:1116799. [PMID: 37273876 PMCID: PMC10235787 DOI: 10.3389/fcvm.2023.1116799] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2022] [Accepted: 04/17/2023] [Indexed: 06/06/2023] Open
Abstract
Immune checkpoint inhibitors (ICIs) and Janus kinase inhibitors (JAKis) have raised concerns over serious unexpected cardiovascular adverse events. The widespread pleiotropy in genome-wide association studies offers an opportunity to identify cardiovascular risks from in-development drugs to help inform appropriate trial design and pharmacovigilance strategies. This study uses the Mendelian randomization (MR) approach to study the causal effects of 9 cardiovascular risk factors on ischemic stroke risk both independently and by mediation, followed by an interrogation of the implicated expression quantitative trait loci (eQTLs) to determine if the enriched pathways can explain the adverse stroke events observed with ICI or JAKi treatment. Genetic predisposition to higher systolic blood pressure (SBP), diastolic blood pressure (DBP), body mass index (BMI), waist-to-hip ratio (WHR), low-density lipoprotein cholesterol (LDL), triglycerides (TG), type 2 diabetes (T2DM), and smoking index were associated with higher ischemic stroke risk. The associations of genetically predicted BMI, WHR, and TG on the outcome were attenuated after adjusting for genetically predicted T2DM [BMI: 53.15% mediated, 95% CI 17.21%-89.10%; WHR: 42.92% (4.17%-81.67%); TG: 72.05% (10.63%-133.46%)]. JAKis, programmed cell death protein 1 and programmed death ligand 1 inhibitors were implicated in the pathways enriched by the genes related to the instruments for each of SBP, DBP, WHR, T2DM, and LDL. Overall, MR mediation analyses support the role of T2DM in mediating the effects of BMI, WHR, and TG on ischemic stroke risk and follow-up pathway enrichment analysis highlights the utility of this approach in the early identification of potential harm from drugs.
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Affiliation(s)
- Nhu Ngoc Le
- School of Cardiovascular and Metabolic Health, University of Glasgow, Glasgow, United Kingdom
| | - Tran Quoc Bao Tran
- School of Cardiovascular and Metabolic Health, University of Glasgow, Glasgow, United Kingdom
| | - Clea du Toit
- School of Cardiovascular and Metabolic Health, University of Glasgow, Glasgow, United Kingdom
| | - Dipender Gill
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom
| | - Sandosh Padmanabhan
- School of Cardiovascular and Metabolic Health, University of Glasgow, Glasgow, United Kingdom
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Chang Y, Eom S, Kim M, Song TJ. Medical Management of Dyslipidemia for Secondary Stroke Prevention: Narrative Review. MEDICINA (KAUNAS, LITHUANIA) 2023; 59:776. [PMID: 37109734 PMCID: PMC10141044 DOI: 10.3390/medicina59040776] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/06/2023] [Revised: 04/13/2023] [Accepted: 04/14/2023] [Indexed: 04/29/2023]
Abstract
Dyslipidemia is a major risk factor for stroke, following hypertension, diabetes, and smoking, and is an important risk factor for the prevention and treatment of coronary artery disease and peripheral vascular disease, including stroke. Recent guidelines recommend considering low-density lipoprotein cholesterol (LDL-C)-lowering therapies, such as statins (preferably), ezetimibe, or proprotein convertase subtilisin/kexin type 9 (PCSK9) inhibitors to prevent the occurrence or recurrence of stroke, adhering to the "lower is better" approach. In this review, we examined the evidence supporting lipid-lowering medications like statins, ezetimibe, and PCSK9 inhibitors for secondary stroke prevention and dyslipidemia management in different stroke subtypes. Stroke guidelines advocate for administering the maximum tolerable dose of statins as the primary treatment and as soon as possible despite the potential for new-onset diabetes mellitus and possible muscle and liver toxicity due to their demonstrated benefits in secondary prevention of cardiovascular diseases and mortality reduction. When statin use is insufficient for LDL lowering, ezetimibe and PCSK9 inhibitors are recommended as complementary therapies. It is essential to establish lipid-lowering therapy goals based on the stroke subtype and the presence of comorbidities.
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Affiliation(s)
- Yoonkyung Chang
- Department of Neurology, Mokdong Hospital, College of Medicine, Ewha Womans University, Seoul 07985, Republic of Korea
| | - Soojeong Eom
- Department of Medicine, College of Medicine, Ewha Womans University, Seoul 07804, Republic of Korea
| | - Minjeong Kim
- Department of Medicine, College of Medicine, Ewha Womans University, Seoul 07804, Republic of Korea
| | - Tae-Jin Song
- Department of Neurology, Seoul Hospital, College of Medicine, Ewha Womans University, Seoul 07804, Republic of Korea
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Wu L, Kong Q, Huang H, Xu S, Qu W, Zhang P, Yu Z, Luo X. Effect of PCSK9 inhibition in combination with statin therapy on intracranial atherosclerotic stenosis: A high-resolution MRI study. Front Aging Neurosci 2023; 15:1127534. [PMID: 36967822 PMCID: PMC10033935 DOI: 10.3389/fnagi.2023.1127534] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2022] [Accepted: 02/20/2023] [Indexed: 03/11/2023] Open
Abstract
IntroductionIntracranial atherosclerotic stenosis (ICAS) is a common cause of stroke worldwide. Evolocumab, a proprotein convertase subtilisin/kexin type-9 inhibitor (PCSK9i), effectively lowers low-density lipoprotein (LDL) and produces favorable changes in coronary atherosclerosis. This study aimed to determine the effects of PCSK9i on intracranial plaques in moderate-intensity statin-treated individuals with ICAS.MethodsThis prospective, observational study monitored the imaging and clinical outcomes of individuals with ICAS who were consecutively treated with moderate-intensity statins with or without PCSK9i. Individuals underwent monthly visits and repeat high-resolution MRI (HR-MRI) at week 12. The primary outcome was a change in HR-MRI after 12 weeks of treatment and the secondary outcome was major vascular events during follow-up.ResultsForty-nine individuals were studied (PCSK9i group: 26 individuals with 28 abnormal vascular regions; statin group: 23 with 27 regions). The PCSK9i group showed a significant reduction in the normalized wall index (0.83 vs. 0.86, p = 0.028) and stenosis degree (65.5 vs. 74.2%, p = 0.01). Similarly, a greater percentage of individuals with a good response to the efficacy of treatment were treated in the PCSK9i group than that in the statin group (75 vs. 44.4%, p = 0.021). The incidence of major vascular events was overall similar between the groups. The treatment options (OR = 8.441, p = 0.01) and prior diabetes (OR = 0.061, p = 0.001) were significantly associated with the efficacy of treatment.DiscussionStatin and PCSK9i combination treatment stabilized intracranial atherosclerotic plaques more often compared to statins alone, as documented by HR-MRI. Further study is warranted to determine if combination treatment improves clinical outcomes in ICAS.
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Affiliation(s)
- Lingshan Wu
- Department of Neurology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Qianqian Kong
- Department of Neurology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Hao Huang
- Department of Neurology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
- Hubei Key Laboratory of Neural Injury and Functional Reconstruction, Huazhong University of Science and Technology, Wuhan, China
| | - Shabei Xu
- Department of Neurology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
- Hubei Key Laboratory of Neural Injury and Functional Reconstruction, Huazhong University of Science and Technology, Wuhan, China
| | - Wensheng Qu
- Department of Neurology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
- Hubei Key Laboratory of Neural Injury and Functional Reconstruction, Huazhong University of Science and Technology, Wuhan, China
| | - Ping Zhang
- Department of Neurology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Zhiyuan Yu
- Department of Neurology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
- Hubei Key Laboratory of Neural Injury and Functional Reconstruction, Huazhong University of Science and Technology, Wuhan, China
| | - Xiang Luo
- Department of Neurology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
- Hubei Key Laboratory of Neural Injury and Functional Reconstruction, Huazhong University of Science and Technology, Wuhan, China
- *Correspondence: Xiang Luo,
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Alemayehu E, Fasil A, Nigatie M, Ambachew S. Serum lipid profile of stroke patients attending at Dessie comprehensive specialized hospital, Dessie, Northeast Ethiopia: A comparative cross-sectional study. Heliyon 2023; 9:e14369. [PMID: 36938383 PMCID: PMC10020080 DOI: 10.1016/j.heliyon.2023.e14369] [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: 05/27/2022] [Revised: 02/28/2023] [Accepted: 03/02/2023] [Indexed: 03/09/2023] Open
Abstract
Background Stroke is a leading cause of adult disability and death worldwide. Serum lipid levels have established effects on short-term stroke mortality. To reduce the incidence of stroke and stroke-related mortality, it is important to assess lipid levels in subtypes of strokes. Hence, the main aim of this study was to assess lipid profile and associated factors among stroke patients. Methods A comparative cross-sectional study was conducted by recruiting 278 (139 stroke patients and 139 controls) study participants selected by convenient sampling technique from March to July 2021. Socio-demographic, behavioral, and clinical data were collected using a semi-structured questionnaire. Ethical approval was obtained from University of Gondar. After obtaining informed consent, about 5 ml of venous blood was collected to perform lipid profile using DIRUI CS-T240 automated clinical chemistry analyzer. Independent t-test, Mann-Whitney U test, Kruskal-Wallis H test, correlation tests, and logistic regression were used during data analysis. A p-value of <0.05 was considered statistically significant. Results The current study found that total cholesterol (170.24 ± 44.66) and low-density lipoprotein cholesterol (114.07 ± 35.82) were significantly higher in stroke patients than in the control group (155.22 ± 18.09) and (103.14 ± 15.65), respectively (P < 0.05). On the other hand, triglycerides (127 (104-141)) and high-density lipoprotein cholesterol (52 (48-57)) were significantly lower in stroke patients than in the control group (127 (104-141)) and (52 (48-57)), respectively (P < 0.05). Additionally, patients with ischemic stroke had significantly higher serum low-density lipoprotein than hemorrhagic stroke patients and controls (P < 0.05). Likewise, patients with hemorrhagic stroke had significantly lowered serum triglyceride levels than ischemic stroke patients and controls (P < 0.05). Dyslipidemia was found in 51.1% of stroke patients. Active smokers (AOR = 6.54, 95% CI = 1.56-27.33), being female (AOR = 3.64, 95% CI = 1.49-8.88), current alcohol drinkers (AOR = 3.51, 95% CI = 1.01-12.25), being diabetes patients (AOR = 3.65, 95% CI = 1.14-11.60) and high body max index (AOR = 4.07, 95% CI = 1.50-11.05) were significantly associated with dyslipidemia. Conclusions The overall dyslipidemia and lipid fraction abnormalities were higher in stroke patients. Efforts should be focused towards addressing these lipid abnormalities through lifestyle modification, health education and lipid reduction therapies in order to reduce their adverse effects.
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Affiliation(s)
- Ermiyas Alemayehu
- Department of Medical Laboratory Sciences, College of Medicine and Health Sciences, Wollo University, Dessie, Ethiopia
- Corresponding author.
| | - Alebachew Fasil
- Department of Clinical Chemistry, School of Biomedical and Laboratory Sciences, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Marye Nigatie
- Department of Medical Laboratory Sciences, College of Health Sciences, Woldia University, Woldia, Ethiopia
| | - Sintayehu Ambachew
- Department of Clinical Chemistry, School of Biomedical and Laboratory Sciences, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
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Tsao CW, Aday AW, Almarzooq ZI, Anderson CAM, Arora P, Avery CL, Baker-Smith CM, Beaton AZ, Boehme AK, Buxton AE, Commodore-Mensah Y, Elkind MSV, Evenson KR, Eze-Nliam C, Fugar S, Generoso G, Heard DG, Hiremath S, Ho JE, Kalani R, Kazi DS, Ko D, Levine DA, Liu J, Ma J, Magnani JW, Michos ED, Mussolino ME, Navaneethan SD, Parikh NI, Poudel R, Rezk-Hanna M, Roth GA, Shah NS, St-Onge MP, Thacker EL, Virani SS, Voeks JH, Wang NY, Wong ND, Wong SS, Yaffe K, Martin SS. Heart Disease and Stroke Statistics-2023 Update: A Report From the American Heart Association. Circulation 2023; 147:e93-e621. [PMID: 36695182 DOI: 10.1161/cir.0000000000001123] [Citation(s) in RCA: 2289] [Impact Index Per Article: 1144.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/26/2023]
Abstract
BACKGROUND The American Heart Association, 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, diet, and weight) and health factors (cholesterol, blood pressure, and glucose control) that contribute to cardiovascular health. The Statistical Update presents the latest data on a range of major clinical heart and circulatory disease conditions (including stroke, congenital heart disease, rhythm disorders, subclinical atherosclerosis, coronary heart disease, heart failure, valvular disease, venous disease, and peripheral artery disease) and the associated outcomes (including quality of care, procedures, and economic costs). METHODS The American Heart Association, through its Epidemiology and Prevention Statistics Committee, continuously monitors and evaluates sources of data on heart disease and stroke in the United States to provide the most current information available in the annual Statistical Update with review of published literature through the year before writing. The 2023 Statistical Update is the product of a full year's worth of effort in 2022 by dedicated volunteer clinicians and scientists, committed government professionals, and American Heart Association staff members. The American Heart Association 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 COVID-19 (coronavirus disease 2019) publications, 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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Kelly RK, Tong TYN, Watling CZ, Reynolds A, Piernas C, Schmidt JA, Papier K, Carter JL, Key TJ, Perez-Cornago A. Associations between types and sources of dietary carbohydrates and cardiovascular disease risk: a prospective cohort study of UK Biobank participants. BMC Med 2023; 21:34. [PMID: 36782209 PMCID: PMC9926727 DOI: 10.1186/s12916-022-02712-7] [Citation(s) in RCA: 38] [Impact Index Per Article: 19.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/08/2022] [Accepted: 12/14/2022] [Indexed: 02/15/2023] Open
Abstract
BACKGROUND Recent studies have reported that the associations between dietary carbohydrates and cardiovascular disease (CVD) may depend on the quality, rather than the quantity, of carbohydrates consumed. This study aimed to assess the associations between types and sources of dietary carbohydrates and CVD incidence. A secondary aim was to examine the associations of carbohydrate intakes with triglycerides within lipoprotein subclasses. METHODS A total of 110,497 UK Biobank participants with ≥ two (maximum five) 24-h dietary assessments who were free from CVD and diabetes at baseline were included. Multivariable-adjusted Cox regressions were used to estimate risks of incident total CVD (4188 cases), ischaemic heart disease (IHD; 3138) and stroke (1124) by carbohydrate intakes over a median follow-up time of 9.4 years, and the effect of modelled dietary substitutions. The associations of carbohydrate intakes with plasma triglycerides within lipoprotein subclasses as measured by nuclear magnetic resonance (NMR) spectroscopy were examined in 26,095 participants with baseline NMR spectroscopy measurements. RESULTS Total carbohydrate intake was not associated with CVD outcomes. Free sugar intake was positively associated with total CVD (HR; 95% CI per 5% of energy, 1.07;1.03-1.10), IHD (1.06;1.02-1.10), and stroke (1.10;1.04-1.17). Fibre intake was inversely associated with total CVD (HR; 95% CI per 5 g/d, 0.96;0.93-0.99). Modelled isoenergetic substitution of 5% of energy from refined grain starch with wholegrain starch was inversely associated with total CVD (0.94;0.91-0.98) and IHD (0.94;0.90-0.98), and substitution of free sugars with non-free sugars was inversely associated with total CVD (0.95;0.92-0.98) and stroke (0.91;0.86-0.97). Free sugar intake was positively associated with triglycerides within all lipoproteins. CONCLUSIONS Higher free sugar intake was associated with higher CVD incidence and higher triglyceride concentrations within all lipoproteins. Higher fibre intake and replacement of refined grain starch and free sugars with wholegrain starch and non-free sugars, respectively, may be protective for incident CVD.
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Affiliation(s)
- Rebecca K. Kelly
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Richard Doll Building, Roosevelt Drive, Oxford, OX3 7LF UK
| | - Tammy Y. N. Tong
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Richard Doll Building, Roosevelt Drive, Oxford, OX3 7LF UK
| | - Cody Z. Watling
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Richard Doll Building, Roosevelt Drive, Oxford, OX3 7LF UK
| | - Andrew Reynolds
- Department of Medicine, University of Otago, Dunedin, 9016 New Zealand
| | - Carmen Piernas
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, OX3 7LF UK
| | - Julie A. Schmidt
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Richard Doll Building, Roosevelt Drive, Oxford, OX3 7LF UK
- Department of Clinical Epidemiology, Department of Clinical Medicine, Aarhus University and Aarhus University Hospital, Olof Palmes Allé 43-45, 8200 Aarhus N, Denmark
| | - Keren Papier
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Richard Doll Building, Roosevelt Drive, Oxford, OX3 7LF UK
| | - Jennifer L. Carter
- Clinical Trial Service Unit and Epidemiological Studies Unit, University of Oxford, Oxford, OX3 7LF UK
| | - Timothy J. Key
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Richard Doll Building, Roosevelt Drive, Oxford, OX3 7LF UK
| | - Aurora Perez-Cornago
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Richard Doll Building, Roosevelt Drive, Oxford, OX3 7LF UK
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Electronegative LDL Is Associated with Plaque Vulnerability in Patients with Ischemic Stroke and Carotid Atherosclerosis. Antioxidants (Basel) 2023; 12:antiox12020438. [PMID: 36829998 PMCID: PMC9952764 DOI: 10.3390/antiox12020438] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2022] [Revised: 02/06/2023] [Accepted: 02/08/2023] [Indexed: 02/12/2023] Open
Abstract
Owing to the high risk of recurrence, identifying indicators of carotid plaque vulnerability in atherothrombotic ischemic stroke is essential. In this study, we aimed to identify modified LDLs and antioxidant enzymes associated with plaque vulnerability in plasma from patients with a recent ischemic stroke and carotid atherosclerosis. Patients underwent an ultrasound, a CT-angiography, and an 18F-FDG PET. A blood sample was obtained from patients (n = 64, 57.8% with stenosis ≥50%) and healthy controls (n = 24). Compared to the controls, patients showed lower levels of total cholesterol, LDL cholesterol, HDL cholesterol, apolipoprotein B (apoB), apoA-I, apoA-II, and apoE, and higher levels of apoJ. Patients showed lower platelet-activating factor acetylhydrolase (PAF-AH) and paraoxonase-1 (PON-1) enzymatic activities in HDL, and higher plasma levels of oxidized LDL (oxLDL) and electronegative LDL (LDL(-)). The only difference between patients with stenosis ≥50% and <50% was the proportion of LDL(-). In a multivariable logistic regression analysis, the levels of LDL(-), but not of oxLDL, were independently associated with the degree of carotid stenosis (OR: 5.40, CI: 1.15-25.44, p < 0.033), the presence of hypoechoic plaque (OR: 7.52, CI: 1.26-44.83, p < 0.027), and of diffuse neovessels (OR: 10.77, CI: 1.21-95.93, p < 0.033), indicating that an increased proportion of LDL(-) is associated with vulnerable atherosclerotic plaque.
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Influence of ZFHX3 Polymorphisms on the Risk of Ischemic Stroke in Chinese Han Population. Cardiovasc Toxicol 2023; 23:93-106. [PMID: 36800142 DOI: 10.1007/s12012-023-09783-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/05/2022] [Accepted: 01/30/2023] [Indexed: 02/18/2023]
Abstract
The association of ZFHX3 gene polymorphisms with ischemia stroke (IS) susceptibility has been clarified in Europeans, but not in the Chinese Han population. To assess the effect of ZFHX3 polymorphisms on IS risk, rs7193343, rs879324, and rs12932445 were selected and genotyped using the Agena MassARRAY platform in 694 patients and 687 healthy controls. Odds ratios (ORs) and 95% confidence intervals (CIs) were calculated by logistic regression model adjusted for age, sex, smoking, and drinking status. The potentially influential factors for IS risk were analyzed using multifactor dimension reduction (MDR) software v3.0.2 and least absolute shrinkage and selection operator (LASSO) logistic regression. Our results displayed that rs879324 (p = 0.011, OR = 0.81) and rs12932445 (p = 0.012, OR = 0.81) were protective factors for IS in the Chinese Han population. Specifically, rs879324 had a lower susceptibility to IS in subjects aged ≤ 64 years, non-smokers, and non-drinkers (p < 0.05). Furthermore, rs12932445 was associated with a reduced risk of IS in people aged > 64 years, females, non-smokers, and non-drinkers (p < 0.05). MDR and LASSO analyses revealed that rs879324 was the most influential factor for IS risk. These findings suggested that ZFHX3 variants may be biomarkers in IS occurrence in the Chinese Han population, which may provide a new insight into the etiology of IS.
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