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Muiño E, Carcel-Marquez J, Llucià-Carol L, Gallego-Fabrega C, Cullell N, Lledós M, Martín-Campos JM, Villatoro-González P, Sierra-Marcos A, Ros-Castelló V, Aguilera-Simón A, Marti-Fabregas J, Fernandez-Cadenas I. Identification of Genetic Loci Associated With Intracerebral Hemorrhage Using a Multitrait Analysis Approach. Neurology 2024; 103:e209666. [PMID: 39298701 DOI: 10.1212/wnl.0000000000209666] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/22/2024] Open
Abstract
BACKGROUND AND OBJECTIVES Genome-wide association studies (GWASs) have only 2 loci associated with spontaneous intracerebral hemorrhage (ICH): APOE for lobar and 1q22 for nonlobar ICH. We aimed to discover new loci through an analysis that combines correlated traits (multi-trait analysis of GWAS [MTAG]) and explore a gene-based analysis, transcriptome-wide association study (TWAS), and proteome-wide association study (PWAS) to understand the biological mechanisms of spontaneous ICH providing potential therapeutic targets. METHODS We use the published MTAG of ICH (patients with spontaneous intraparenchymal bleeding) and small-vessel ischemic stroke. For all ICH, lobar ICH, and nonlobar ICH, a pairwise MTAG combined ICH with traits related to cardiovascular risk factors, cerebrovascular diseases, or Alzheimer disease (AD). For the analysis, we assembled those traits with a genetic correlation ≥0.3. A new MTAG combining multiple traits was performed with those traits whose pairwise MTAG yielded new GWAS-significant single nucleotide polymorphisms (SNPs), with a posterior-probability of model 3 (GWAS-pairwise) ≥0.6. We perform TWAS and PWAS that correlate the genetic component of expression or protein levels with the genetic component of a trait. We use the ICH cohort from UK Biobank as replication. RESULTS For all ICH (1,543 ICH, 1,711 controls), the mean age was 72 ± 2 in cases and 70 ± 2 in controls, and half of them were women. Replication cohort: 700 ICH and 399,717 controls. Novel loci were found only for all ICH (the trait containing lobar and nonlobar ICH), combining data of ICH and small vessel stroke, white matter hyperintensities volume, fractional anisotropy, mean diffusivity, and AD. We replicated 6 SNPs belonging to 2q33.2 (ICA1L, β = 0.20, SE = 0.03, p value = 8.91 × 10-12), 10q24.33 (OBFC1, β = -0.12, SE = 0.02, p value = 1.67 × 10-8), 13q34 (COL4A2, β = 0.02, SE = 0.02, p value = 2.34 × 10-11), and 19q13.32 (APOC1, β = -0.19, SE = 0.03, p value = 1.38 × 10-12; APOE, β = 0.21, SE = 0.03, p value = 2.70 × 10-11; PVRL2:CTB-129P6.4, β = 0.15, SE = 0.03, p value = 1.38 × 10-8); 2 genes (SH3PXD2A, Z-score = 4.83, p value = 6.67 × 10-7; and APOC1, Z-score: = 5.11, p value = 1.60 × 10-7); and ICA1L transcript (Z-score = 6.8, p value = 9.1 × 10-12) and protein levels (Z-score = -5.8, p value = 6.7 × 10-9). DISCUSSION Our results reinforce the role of APOE in ICH risk, replicate previous ICH-associated loci (2q33 and 13q34), and point to new ICH associations with OBFC1, PVRL2:CTB-129P6.4, APOC1, and SH3PXD2A. Our study used data from European subjects, our main limitation. These molecules could be potential targets for future studies for modulating ICH risk.
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Affiliation(s)
- Elena Muiño
- From the Stroke Pharmacogenomics and Genetics Group (E.M., J.C.-M., L.L.-C., C.G.-F., N.C., M.L.L., J.M.M.-C., P.V.-G., I.F.-C.), Biomedical Research Institute Sant Pau (IIB SANT PAU); Epilepsy Unit (E.M., A.S.-M., V.R.-C.), Neurology Service, Hospital de la Santa Creu i Sant Pau, Barcelona; Stroke Pharmacogenomics and Genetics (N.C.), Fundació MútuaTerrassa per la Docència i la Recerca; and Department of Neurology (C.G.-F., A.A.-S., J.M.-F.), Hospital de la Santa Creu i Sant Pau, IIB SANT PAU, Barcelona, Spain
| | - Jara Carcel-Marquez
- From the Stroke Pharmacogenomics and Genetics Group (E.M., J.C.-M., L.L.-C., C.G.-F., N.C., M.L.L., J.M.M.-C., P.V.-G., I.F.-C.), Biomedical Research Institute Sant Pau (IIB SANT PAU); Epilepsy Unit (E.M., A.S.-M., V.R.-C.), Neurology Service, Hospital de la Santa Creu i Sant Pau, Barcelona; Stroke Pharmacogenomics and Genetics (N.C.), Fundació MútuaTerrassa per la Docència i la Recerca; and Department of Neurology (C.G.-F., A.A.-S., J.M.-F.), Hospital de la Santa Creu i Sant Pau, IIB SANT PAU, Barcelona, Spain
| | - Laia Llucià-Carol
- From the Stroke Pharmacogenomics and Genetics Group (E.M., J.C.-M., L.L.-C., C.G.-F., N.C., M.L.L., J.M.M.-C., P.V.-G., I.F.-C.), Biomedical Research Institute Sant Pau (IIB SANT PAU); Epilepsy Unit (E.M., A.S.-M., V.R.-C.), Neurology Service, Hospital de la Santa Creu i Sant Pau, Barcelona; Stroke Pharmacogenomics and Genetics (N.C.), Fundació MútuaTerrassa per la Docència i la Recerca; and Department of Neurology (C.G.-F., A.A.-S., J.M.-F.), Hospital de la Santa Creu i Sant Pau, IIB SANT PAU, Barcelona, Spain
| | - Cristina Gallego-Fabrega
- From the Stroke Pharmacogenomics and Genetics Group (E.M., J.C.-M., L.L.-C., C.G.-F., N.C., M.L.L., J.M.M.-C., P.V.-G., I.F.-C.), Biomedical Research Institute Sant Pau (IIB SANT PAU); Epilepsy Unit (E.M., A.S.-M., V.R.-C.), Neurology Service, Hospital de la Santa Creu i Sant Pau, Barcelona; Stroke Pharmacogenomics and Genetics (N.C.), Fundació MútuaTerrassa per la Docència i la Recerca; and Department of Neurology (C.G.-F., A.A.-S., J.M.-F.), Hospital de la Santa Creu i Sant Pau, IIB SANT PAU, Barcelona, Spain
| | - Natalia Cullell
- From the Stroke Pharmacogenomics and Genetics Group (E.M., J.C.-M., L.L.-C., C.G.-F., N.C., M.L.L., J.M.M.-C., P.V.-G., I.F.-C.), Biomedical Research Institute Sant Pau (IIB SANT PAU); Epilepsy Unit (E.M., A.S.-M., V.R.-C.), Neurology Service, Hospital de la Santa Creu i Sant Pau, Barcelona; Stroke Pharmacogenomics and Genetics (N.C.), Fundació MútuaTerrassa per la Docència i la Recerca; and Department of Neurology (C.G.-F., A.A.-S., J.M.-F.), Hospital de la Santa Creu i Sant Pau, IIB SANT PAU, Barcelona, Spain
| | - Miquel Lledós
- From the Stroke Pharmacogenomics and Genetics Group (E.M., J.C.-M., L.L.-C., C.G.-F., N.C., M.L.L., J.M.M.-C., P.V.-G., I.F.-C.), Biomedical Research Institute Sant Pau (IIB SANT PAU); Epilepsy Unit (E.M., A.S.-M., V.R.-C.), Neurology Service, Hospital de la Santa Creu i Sant Pau, Barcelona; Stroke Pharmacogenomics and Genetics (N.C.), Fundació MútuaTerrassa per la Docència i la Recerca; and Department of Neurology (C.G.-F., A.A.-S., J.M.-F.), Hospital de la Santa Creu i Sant Pau, IIB SANT PAU, Barcelona, Spain
| | - Jesús M Martín-Campos
- From the Stroke Pharmacogenomics and Genetics Group (E.M., J.C.-M., L.L.-C., C.G.-F., N.C., M.L.L., J.M.M.-C., P.V.-G., I.F.-C.), Biomedical Research Institute Sant Pau (IIB SANT PAU); Epilepsy Unit (E.M., A.S.-M., V.R.-C.), Neurology Service, Hospital de la Santa Creu i Sant Pau, Barcelona; Stroke Pharmacogenomics and Genetics (N.C.), Fundació MútuaTerrassa per la Docència i la Recerca; and Department of Neurology (C.G.-F., A.A.-S., J.M.-F.), Hospital de la Santa Creu i Sant Pau, IIB SANT PAU, Barcelona, Spain
| | - Paula Villatoro-González
- From the Stroke Pharmacogenomics and Genetics Group (E.M., J.C.-M., L.L.-C., C.G.-F., N.C., M.L.L., J.M.M.-C., P.V.-G., I.F.-C.), Biomedical Research Institute Sant Pau (IIB SANT PAU); Epilepsy Unit (E.M., A.S.-M., V.R.-C.), Neurology Service, Hospital de la Santa Creu i Sant Pau, Barcelona; Stroke Pharmacogenomics and Genetics (N.C.), Fundació MútuaTerrassa per la Docència i la Recerca; and Department of Neurology (C.G.-F., A.A.-S., J.M.-F.), Hospital de la Santa Creu i Sant Pau, IIB SANT PAU, Barcelona, Spain
| | - Alba Sierra-Marcos
- From the Stroke Pharmacogenomics and Genetics Group (E.M., J.C.-M., L.L.-C., C.G.-F., N.C., M.L.L., J.M.M.-C., P.V.-G., I.F.-C.), Biomedical Research Institute Sant Pau (IIB SANT PAU); Epilepsy Unit (E.M., A.S.-M., V.R.-C.), Neurology Service, Hospital de la Santa Creu i Sant Pau, Barcelona; Stroke Pharmacogenomics and Genetics (N.C.), Fundació MútuaTerrassa per la Docència i la Recerca; and Department of Neurology (C.G.-F., A.A.-S., J.M.-F.), Hospital de la Santa Creu i Sant Pau, IIB SANT PAU, Barcelona, Spain
| | - Victoria Ros-Castelló
- From the Stroke Pharmacogenomics and Genetics Group (E.M., J.C.-M., L.L.-C., C.G.-F., N.C., M.L.L., J.M.M.-C., P.V.-G., I.F.-C.), Biomedical Research Institute Sant Pau (IIB SANT PAU); Epilepsy Unit (E.M., A.S.-M., V.R.-C.), Neurology Service, Hospital de la Santa Creu i Sant Pau, Barcelona; Stroke Pharmacogenomics and Genetics (N.C.), Fundació MútuaTerrassa per la Docència i la Recerca; and Department of Neurology (C.G.-F., A.A.-S., J.M.-F.), Hospital de la Santa Creu i Sant Pau, IIB SANT PAU, Barcelona, Spain
| | - Ana Aguilera-Simón
- From the Stroke Pharmacogenomics and Genetics Group (E.M., J.C.-M., L.L.-C., C.G.-F., N.C., M.L.L., J.M.M.-C., P.V.-G., I.F.-C.), Biomedical Research Institute Sant Pau (IIB SANT PAU); Epilepsy Unit (E.M., A.S.-M., V.R.-C.), Neurology Service, Hospital de la Santa Creu i Sant Pau, Barcelona; Stroke Pharmacogenomics and Genetics (N.C.), Fundació MútuaTerrassa per la Docència i la Recerca; and Department of Neurology (C.G.-F., A.A.-S., J.M.-F.), Hospital de la Santa Creu i Sant Pau, IIB SANT PAU, Barcelona, Spain
| | - Joan Marti-Fabregas
- From the Stroke Pharmacogenomics and Genetics Group (E.M., J.C.-M., L.L.-C., C.G.-F., N.C., M.L.L., J.M.M.-C., P.V.-G., I.F.-C.), Biomedical Research Institute Sant Pau (IIB SANT PAU); Epilepsy Unit (E.M., A.S.-M., V.R.-C.), Neurology Service, Hospital de la Santa Creu i Sant Pau, Barcelona; Stroke Pharmacogenomics and Genetics (N.C.), Fundació MútuaTerrassa per la Docència i la Recerca; and Department of Neurology (C.G.-F., A.A.-S., J.M.-F.), Hospital de la Santa Creu i Sant Pau, IIB SANT PAU, Barcelona, Spain
| | - Israel Fernandez-Cadenas
- From the Stroke Pharmacogenomics and Genetics Group (E.M., J.C.-M., L.L.-C., C.G.-F., N.C., M.L.L., J.M.M.-C., P.V.-G., I.F.-C.), Biomedical Research Institute Sant Pau (IIB SANT PAU); Epilepsy Unit (E.M., A.S.-M., V.R.-C.), Neurology Service, Hospital de la Santa Creu i Sant Pau, Barcelona; Stroke Pharmacogenomics and Genetics (N.C.), Fundació MútuaTerrassa per la Docència i la Recerca; and Department of Neurology (C.G.-F., A.A.-S., J.M.-F.), Hospital de la Santa Creu i Sant Pau, IIB SANT PAU, Barcelona, Spain
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Xiang W, Shen Y, Li Y, Chen S, Cao Q, Xu L. Causal association between mental disorders and cerebrovascular diseases: Evidence from Mendelian randomization study. J Affect Disord 2024:S0165-0327(24)01545-3. [PMID: 39271072 DOI: 10.1016/j.jad.2024.09.061] [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: 05/24/2024] [Revised: 07/30/2024] [Accepted: 09/10/2024] [Indexed: 09/15/2024]
Abstract
BACKGROUND AND OBJECTIVE Observational studies have suggested that mental disorders and cerebrovascular diseases (CVDs) may be risk factors for each other, but genetic evidence of a causal relationship is still lacking. We used Mendelian randomization (MR) studies to explore the causal relationship between mental disorders and CVDs from the genetic perspective. METHODS To investigate the causal association between major depressive disorder (MDD), anxiety, attention deficit/hyperactivity disorder (ADHD), bipolar disorder and schizophrenia five kinds of mental disorders and CVDs using two-sample two-way MR analysis based on publicly available genome-wide association study (GWAS) data. We used as instrumental variables (IVs) single-nucleotide polymorphisms (SNPs) that were strongly associated with mental disorders and CVDs. IVW method was used as the main analysis method, and MR-IVW, MR-Egger methods, MR-PRESSO test, leave-one-out analysis and funnel plot were used for sensitivity analysis. We further conducted a meta-analysis to summarize the currently available MR analyses. RESULTS The results of forward MR study showed that there was a significant causal relationship between ADHD and AS (any stroke) (p(AS) = 0.001, OR (95%CI) =1.118 (1.047-1.195)), any ischemic stroke (AIS) (p(AIS) = 0.004, OR (95%CI) =1.118(1.035-1.206)) and large artery stroke (LAS) (p(LAS) = 0.026, OR (95%CI): 1.206(1.023-1.422)). No heterogeneity, pleiotropy and outliers were found in sensitivity analysis. The reverse MR study showed that IA (intracranial aneurysm) (p(IA) = 0.033, OR (95%CI) = 1.123(1.009-1.249)) and UIA (unruptured intracranial aneurysm) (p(UIA) = 0.015, OR (95%CI) =1.040(1.008-1.074)) were risk factors for schizophrenia. Sensitivity analysis showed no pleiotropy, but there was heterogeneity. After excluding outliers, MR analysis showed that IA and UIA were still risk factors for schizophrenia. Our meta-analyses found statistical significance in causal relationships between ADHD and LAS (OR (95%CI) =1.18 (1.06-1.32), p = 0.003), IA and schizophrenia (OR (95%CI) =1.05 (1.02-1.08), p = 0.002) and UIA and schizophrenia (OR (95%CI) =1.03 (1.01-1.06), p = 0.010). CONCLUSION The MR study and meta-analysis suggest that genetically predicted ADHD is a risk factor for LAS, and IA and UIA increase the risk of schizophrenia. The result has implications for the development of feasible prevention strategies in the future.
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Affiliation(s)
- Wenwen Xiang
- Department of Neurology, The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, China
| | - Yu Shen
- Department of Neurology, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, China
| | - Yanping Li
- Department of Neuroelectrophysiology, The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, China
| | - Shenjian Chen
- Department of Neurology, The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, China
| | - Qian Cao
- Department of Neurology, Saarland University, Homburg, Germany
| | - Lijun Xu
- Department of Neurology, The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, China.
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Gao Y, Li Q, Yang L, Zhao H, Wang D, Pesola AJ. Causal Association Between Sedentary Behaviors and Health Outcomes: A Systematic Review and Meta-Analysis of Mendelian Randomization Studies. Sports Med 2024:10.1007/s40279-024-02090-5. [PMID: 39218828 DOI: 10.1007/s40279-024-02090-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/29/2024] [Indexed: 09/04/2024]
Abstract
BACKGROUND Different types of sedentary behavior are associated with several health outcomes, but the causality of these associations remains unclear. OBJECTIVES To conduct a systematic review and meta-analysis of Mendelian randomization (MR) studies investigating the associations between sedentary behaviors and health outcomes. METHODS A systematic search on PubMed, Embase, Web of Science, Scopus, and PsycINFO up to August 2023 was conducted to identify eligible MR studies. We selected studies that assessed associations of genetically determined sedentary behaviors and health outcomes. A meta-analysis was conducted to examine the causal associations when two or more MR studies were available. We graded the evidence level of each MR association based on the results of the main method and sensitivity analyses in MR studies. RESULTS A total of 31 studies with 168 MR associations between six types of sedentary behavior and 47 health outcomes were included. Results from meta-analyses suggested a total of 47 significant causal associations between sedentary behaviors and health outcomes. Notably, more leisure TV watching is robustly correlated with increased risks of myocardial infarction, coronary artery disease, all-cause ischemic stroke, and type 2 diabetes. Conversely, robust inverse associations were observed between leisure computer use and risks of rheumatoid arthritis, Alzheimer's disease, and gastroesophageal reflux disease. CONCLUSION These findings suggest that different types of sedentary behavior have distinct causal effects on health outcomes. Therefore, interventions should focus not only on reducing sedentary time but also on promoting healthier types of sedentary behavior. PROSPERO REGISTRATION CRD42023453828.
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Affiliation(s)
- Ying Gao
- Department of Sports Science, College of Education, Zhejiang University, Hangzhou, China
| | - Qingyang Li
- Department of Sports Science, College of Education, Zhejiang University, Hangzhou, China
| | - Luyao Yang
- Department of Sports Science, College of Education, Zhejiang University, Hangzhou, China
| | - Hanhua Zhao
- Department of Sports Science, College of Education, Zhejiang University, Hangzhou, China
| | - Di Wang
- Department of Sports Science, College of Education, Zhejiang University, Hangzhou, China.
| | - Arto J Pesola
- Active Life Lab, South-Eastern Finland University of Applied Sciences, Mikkeli, Finland
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Debette S, Paré G. Stroke Genetics, Genomics, and Precision Medicine. Stroke 2024; 55:2163-2168. [PMID: 38511336 DOI: 10.1161/strokeaha.123.044212] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/22/2024]
Affiliation(s)
- Stéphanie Debette
- University of Bordeaux, INSERM, Bordeaux Population Health, France (S.D.)
- Department of Neurology, Institute for Neurodegenerative Diseases, Bordeaux University Hospital, France (S.D.)
| | - Guillaume Paré
- Department of Pathology and Molecular Medicine, Faculty of Health Sciences, McMaster University, Hamilton, Ontario, Canada (G.P.)
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Yang LZ, Yang Y, Hong C, Wu QZ, Shi XJ, Liu YL, Chen GZ. Systematic Mendelian Randomization Exploring Druggable Genes for Hemorrhagic Strokes. Mol Neurobiol 2024:10.1007/s12035-024-04336-9. [PMID: 38977622 DOI: 10.1007/s12035-024-04336-9] [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: 12/30/2023] [Accepted: 06/26/2024] [Indexed: 07/10/2024]
Abstract
Patients with hemorrhagic stroke have high rates of morbidity and mortality, and drugs for prevention are very limited. Mendelian randomization (MR) analysis can increase the success rate of drug development by providing genetic evidence. Previous MR analyses only analyzed the role of individual drug target genes in hemorrhagic stroke; therefore, we used MR analysis to systematically explore the druggable genes for hemorrhagic stroke. We sequentially performed summary-data-based MR analysis and two-sample MR analysis to assess the associations of all genes within the database with intracranial aneurysm, intracerebral hemorrhage, and their subtypes. Validated genes were further analyzed by colocalization. Only genes that were positive in all three analyses and were druggable were considered desirable genes. We also explored the mediators of genes affecting hemorrhagic stroke incidence. Finally, the associations of druggable genes with other cardiovascular diseases were analyzed to assess potential side effects. We identified 56 genes that significantly affected hemorrhagic stroke incidence. Moreover, TNFSF12, SLC22A4, SPARC, KL, RELT, and ADORA3 were found to be druggable. The inhibition of TNFSF12, SLC22A4, and SPARC can reduce the risk of intracranial aneurysm, subarachnoid hemorrhage, and intracerebral hemorrhage. Gene-induced hypertension may be a potential mechanism by which these genes cause hemorrhagic stroke. We also found that blocking these genes may cause side effects, such as ischemic stroke and its subtypes. Our study revealed that six druggable genes were associated with hemorrhagic stroke, and the inhibition of TNFSF12, SLC22A4, and SPARC had preventive effects against hemorrhagic strokes.
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Affiliation(s)
- Lun-Zhe Yang
- Department of Neurosurgery, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Yong Yang
- Department of Neurosurgery, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Chuan Hong
- Department of Neurosurgery, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Qi-Zhe Wu
- Department of Neurosurgery, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Xiong-Jie Shi
- Department of Neurosurgery, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Yi-Lin Liu
- Department of Neurosurgery, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Guang-Zhong Chen
- Department of Neurosurgery, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.
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Deng X, Chang W, Zhu J, Lv X, Lai R, Cai Y, Liu S, Liang J. Hypothyroidism's effect on stroke limited to specific subtypes: A Mendelian randomization study. J Stroke Cerebrovasc Dis 2024; 33:107737. [PMID: 38688395 DOI: 10.1016/j.jstrokecerebrovasdis.2024.107737] [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: 06/26/2023] [Revised: 04/24/2024] [Accepted: 04/27/2024] [Indexed: 05/02/2024] Open
Abstract
BACKGROUND The association between hypothyroidism and stroke remains controversial and the association between hypothyroidism and stroke subtypes has not been satisfactorily researched. This study aimed to explore the causal effect of hypothyroidism on the risk of stroke and its subtypes by Mendelian randomization (MR) analysis. METHODS Single nucleotide polymorphisms (SNPs) were selected from published genome-wide association studies (GWAS) meta-analysis as instrumental variables (IVs) for hypothyroidism. As outcomes, summary GWAS data for stroke and its subtypes were obtained from two other large GWAS meta-analyses, including any stroke (AS), any ischemic stroke (AIS), large vessel stroke (LAS), cardiogenic embolic stroke (CES), small vessel stroke (SVS), and intracranial hemorrhage (ICH). Univariate Mendelian randomization (UVMR) and multivariate Mendelian randomization (MVMR) were used to assess the causal effect of hypothyroidism on stroke and its subtypes. RESULTS In UVMR, genetically predicted hypothyroidism was significantly associated with LAS (OR = 1.14, 95CI = 1.02-1.27) and SVS (OR = 1.14, 95CI = 1.04-1.25), but not with AS, AIS, CES, and ICH. The results of the MVMR showed that after adjusting for smoking, alcohol consumption, hypertension, diabetes, low-density lipoprotein cholesterol (LDL-c), and body mass index (BMI), the causal association between hypothyroidism and SVS remained significant, while the association between hypothyroidism and LAS became nonsignificant. CONCLUSION Hypothyroidism is causally associated with risk for LAS and SVS, but not for other stroke subtypes. Hypothyroidism may be an independent risk factor for SVS, and vascular risk factors play an important role in hypothyroidism causing LAS.
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Affiliation(s)
- Xinmin Deng
- Chengdu University of Traditional Chinese Medicine, China
| | - Wen Chang
- Chengdu University of Traditional Chinese Medicine, China
| | - Jingyi Zhu
- Chengdu University of Traditional Chinese Medicine, China
| | - Xiaofeng Lv
- Chengdu University of Traditional Chinese Medicine, China
| | - Rui Lai
- Chengdu University of Traditional Chinese Medicine, China
| | - Yu Cai
- Chengdu University of Traditional Chinese Medicine, China
| | - Shanshan Liu
- Chengdu University of Traditional Chinese Medicine, China
| | - Jingtao Liang
- Hospital of Chengdu University of Traditional Chinese Medicine, China.
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Myserlis EP, Ray A, Anderson CD, Georgakis MK. Genetically proxied IL-6 signaling and risk of Alzheimer's disease and lobar intracerebral hemorrhage: A drug target Mendelian randomization study. ALZHEIMER'S & DEMENTIA (NEW YORK, N. Y.) 2024; 10:e70000. [PMID: 39206334 PMCID: PMC11349601 DOI: 10.1002/trc2.70000] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/19/2024] [Revised: 07/25/2024] [Accepted: 07/27/2024] [Indexed: 09/04/2024]
Abstract
INTRODUCTION Evidence suggests that higher C-reactive protein (CRP) is associated with lower risk of Alzheimer's disease (AD) and lobar intracerebral hemorrhage (ICH). Whether interleukin (IL)-6 signaling, an active pharmacological target upstream of CRP, is associated with these amyloid-related pathologies remains unknown. METHODS We used 26 CRP-lowering variants near the IL-6 receptor gene to perform Mendelian randomization analyses for AD (111,326 cases, 677,663 controls) and ICH (1545 cases, 1481 controls). We explored the effect of genetically proxied IL-6 signaling on serum, cerebrospinal fluid (CSF), and brain proteome (971 individuals). RESULTS Genetically upregulated IL-6 receptor-mediated signaling was associated with lower risk of AD (OR per increment in serum logCRP levels: 0.87, 95% CI: 0.79-0.95) and lobar ICH (OR: 0.27, 95% CI: 0.09-0.89). We also found associations with 312, 77, and 79 brain, CSF, and plasma proteins, respectively, some of which were previously implicated in amyloid-clearing mechanisms. DISCUSSION Genetic data support that CRP-lowering through variation in the gene encoding IL-6 receptor may be associated with amyloid-related outcomes. Highlights Genetic variants proxying IL-6 inhibition are associated with AD and lobar ICH risk.The variants are also associated with amyloid clearing-related proteomic changes.Whether pharmacologic IL-6 inhibition is linked to AD or lobar ICH merits further study.
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Affiliation(s)
| | - Anushree Ray
- Institute for Stroke and Dementia Research (ISD)Ludwig‐Maximilians‐University (LMU) HospitalLMU MunichMunichGermany
| | - Christopher D. Anderson
- Program in Medical and Population GeneticsBroad Institute of MIT and HarvardCambridgeMassachusettsUSA
- Henry and Alisson McCance Center for Brain HealthMassachusetts General HospitalBostonMassachusettsUSA
- Department of NeurologyBrigham and Women's HospitalBostonMassachusettsUSA
| | - Marios K. Georgakis
- Institute for Stroke and Dementia Research (ISD)Ludwig‐Maximilians‐University (LMU) HospitalLMU MunichMunichGermany
- Program in Medical and Population GeneticsBroad Institute of MIT and HarvardCambridgeMassachusettsUSA
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Larsson SC, Chen J, Gill D, Burgess S, Yuan S. Risk Factors for Intracerebral Hemorrhage: Genome-Wide Association Study and Mendelian Randomization Analyses. Stroke 2024; 55:1582-1591. [PMID: 38716647 PMCID: PMC11122740 DOI: 10.1161/strokeaha.124.046249] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2024] [Revised: 03/26/2024] [Accepted: 04/11/2024] [Indexed: 05/26/2024]
Abstract
BACKGROUND The genetic and nongenetic causes of intracerebral hemorrhage (ICH) remain obscure. The present study aimed to uncover the genetic and modifiable risk factors for ICH. METHODS We meta-analyzed genome-wide association study data from 3 European biobanks, involving 7605 ICH cases and 711 818 noncases, to identify the genomic loci linked to ICH. To uncover the potential causal associations of cardiometabolic and lifestyle factors with ICH, we performed Mendelian randomization analyses using genetic instruments identified in previous genome-wide association studies of the exposures and ICH data from the present genome-wide association study meta-analysis. We performed multivariable Mendelian randomization analyses to examine the independent associations of the identified risk factors with ICH and evaluate potential mediating pathways. RESULTS We identified 1 ICH risk locus, located at the APOE genomic region. The lead variant in this locus was rs429358 (chr19:45411941), which was associated with an odds ratio of ICH of 1.17 (95% CI, 1.11-1.20; P=6.01×10-11) per C allele. Genetically predicted higher levels of body mass index, visceral adiposity, diastolic blood pressure, systolic blood pressure, and lifetime smoking index, as well as genetic liability to type 2 diabetes, were associated with higher odds of ICH after multiple testing corrections. Additionally, a genetic increase in waist-to-hip ratio and liability to smoking initiation were consistently associated with ICH, albeit at the nominal significance level (P<0.05). Multivariable Mendelian randomization analysis showed that the association between body mass index and ICH was attenuated on adjustment for type 2 diabetes and further that type 2 diabetes may be a mediator of the body mass index-ICH relationship. CONCLUSIONS Our findings indicate that the APOE locus contributes to ICH genetic susceptibility in European populations. Excess adiposity, elevated blood pressure, type 2 diabetes, and smoking were identified as the chief modifiable cardiometabolic and lifestyle factors for ICH.
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Affiliation(s)
- Susanna C. Larsson
- Medical Epidemiology, Department of Surgical Sciences, Uppsala University, Sweden (S.C.L.)
- Unit of Cardiovascular and Nutritional Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden (S.C.L., S.Y.)
| | - Jie Chen
- Department of Big Data in Health Science, School of Public Health, Center of Clinical Big Data and Analytics of The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China (J.C.)
| | - Dipender Gill
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, United Kingdom (D.G.)
| | - Stephen Burgess
- Department of Public Health and Primary Care (S.B.), University of Cambridge, United Kingdom
- MRC Biostatistics Unit (S.B.), University of Cambridge, United Kingdom
| | - Shuai Yuan
- Unit of Cardiovascular and Nutritional Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden (S.C.L., S.Y.)
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Sun H, Zhong Y, Liao L, Wu J, Xu H, Ma J. Obesity and hypertension mediate the effect of education on deep intracerebral hemorrhage: A Mendelian randomization study. J Stroke Cerebrovasc Dis 2024; 33:107758. [PMID: 38710461 DOI: 10.1016/j.jstrokecerebrovasdis.2024.107758] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2023] [Revised: 03/12/2024] [Accepted: 05/03/2024] [Indexed: 05/08/2024] Open
Abstract
BACKGROUND Educational attainment (EA) as a stable indicator of socioeconomic status has been confirmed to affect intracerebral hemorrhage (ICH), but the mechanism relating EA and ICH is still unknown. AIM To explore the causal relationship between EA and ICH through a bidirectional and two-step Mendelian randomization (MR) study. METHODS Using summary-level Genome-wide Association Study using GWAS data FROM CASES AND CONTROLS of European ancestry, we performed bidirectional and two-step MR analyses to explore the causal relationship between educational attainment and ICH to understand the mediating influence of risk factors in this process. We also carried out subgroup analysis according to the different sites (deep and lobar) of ICH. A set of sensitivity analyses were performed to test valid MR assumptions. RESULTS Bidirectional MR analysis consistently demonstrated a unidirectional causal effect, revealing that higher EA had a protective influence on ICH. Each additional 1-standard deviation (SD) increase in genetically predicted years of schooling was associated with a reduced risk of all ICH (inverse variance weighted (IVW) OR: 0.381 [95 %CI: 0.264-0.549]), deep ICH (OR: 0.334 [95 %CI: 0.216-0.517]), and lobar ICH (OR: 0.422 [95 %CI: 0.261-0.682]). The mediating effect of EA on all ICH was mediated via systolic blood pressure (SBP) (6.93 % [1.20-13.45 %]) and body mass index (BMI) (17.87 % [3.92-34.64 %]), and the mediating effect of EA on deep ICH was also mediated via SBP (7.85 % [1.55-15.07 %]) and BMI (18.63 % [4.02-36.26 %]). CONCLUSION This study provides robust genetic evidence for supporting the protective effect of EA on ICH risk, with further evidence that the effect of EA on deep ICH is partially mediated through hypertension and obesity. Further validation is needed to ascertain whether these findings are applicable to other racial or general population groups.
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Affiliation(s)
- Hao Sun
- Neurointensive Care Unit, the First Affiliated Hospital of Shantou University Medical College, Shantou, PR China
| | - Yuan Zhong
- Department of Neurosurgery, the First Affiliated Hospital of Shantou University Medical College, Shantou, PR China
| | - Lixian Liao
- Intensive Care Unit, Huizhou Third People's Hospital, Guangzhou Medical University, Huizhou, PR China
| | - Jujiang Wu
- Neurointensive Care Unit, the First Affiliated Hospital of Shantou University Medical College, Shantou, PR China
| | - Hongwu Xu
- Department of Neurosurgery, the First Affiliated Hospital of Shantou University Medical College, Shantou, PR China
| | - Junqiang Ma
- Neurointensive Care Unit, the First Affiliated Hospital of Shantou University Medical College, Shantou, PR China; Department of Population Medicine, Shantou University Medical College, Shantou, PR China.
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10
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Wang Y, Zuo H, Li W, Wu X, Zhou F, Chen X, Liu F, Xi Z. Cerebral small vessel disease increases risk for epilepsy: a Mendelian randomization study. Neurol Sci 2024; 45:2171-2180. [PMID: 38012465 DOI: 10.1007/s10072-023-07221-w] [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: 08/29/2023] [Accepted: 11/21/2023] [Indexed: 11/29/2023]
Abstract
BACKGROUND Despite previous research suggesting a potential association between cerebral small vessel disease (CSVD) and epilepsy, the precise causality and directionality between cerebral small vessel disease (CSVD) and epilepsy remain incompletely understood. We aimed to investigate the causal link between CSVD and epilepsy. METHOD A bidirectional two-sample Mendelian randomization (MR) analysis was performed to evaluate the causal relationship between CSVD and epilepsy. The analysis included five dimensions of CSVD, namely small vessel ischemic stroke (SVS), intracerebral hemorrhage (ICH), white matter damage (including white matter hyperintensity [WMH], fractional anisotropy, and mean diffusivity), lacunar stroke, and cerebral microbleeds. We also incorporated epilepsy encompassing both focal epilepsy and generalized epilepsy. Inverse variance weighted (IVW) was used as the primary estimate while other four MR techniques were used to validate the results. Pleiotropic effects were controlled by adjusting vascular risk factors through multivariable MR. RESULT The study found a significant association between SVS (odds ratio [OR] 1.117, PFDR = 0.022), fractional anisotropy (OR 0.961, PFDR = 0.005), mean diffusivity (OR 1.036, PFDR = 0.004), and lacunar stroke (OR 1.127, PFDR = 0.007) with an increased risk of epilepsy. The aforementioned correlations primarily occurred in focal epilepsy rather than generalized epilepsy on subgroup analysis and retained their significance in the multivariable MR analysis. CONCLUSION Our study demonstrated that genetic susceptibility to CSVD independently elevates the risk of epilepsy, especially focal epilepsy. Diffusion tensor imaging may help screen patients at high risk for epilepsy in CSVD. Improved management of CSVD may be a significant approach in reducing the overall prevalence of epilepsy.
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Affiliation(s)
- Yuzhu Wang
- Department of Neurology, the First Affiliated Hospital of Chongqing Medical University, 1St Youyi Road, Chongqing, 400016, China
| | - Hongzhou Zuo
- Department of Neurology, the First Affiliated Hospital of Chongqing Medical University, 1St Youyi Road, Chongqing, 400016, China
| | - Wei Li
- Department of Hepatobiliary Surgery, the First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China
| | - Xiaohui Wu
- Department of Neurology, the First Affiliated Hospital of Chongqing Medical University, 1St Youyi Road, Chongqing, 400016, China
| | - Fu Zhou
- Department of Neurology, the First Affiliated Hospital of Chongqing Medical University, 1St Youyi Road, Chongqing, 400016, China
| | - Xuan Chen
- Department of Neurology, the First Affiliated Hospital of Chongqing Medical University, 1St Youyi Road, Chongqing, 400016, China
| | - Fei Liu
- Department of Neurology, the First Affiliated Hospital of Chongqing Medical University, 1St Youyi Road, Chongqing, 400016, China
| | - Zhiqin Xi
- Department of Neurology, the First Affiliated Hospital of Chongqing Medical University, 1St Youyi Road, Chongqing, 400016, China.
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11
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Chen S, Chen Z, Xu Q, Jiang X, Lin C, Ji J. Dual effects of serum urate on stroke risk and prognosis: insights from Mendelian randomization. Front Neurol 2024; 15:1359292. [PMID: 38628696 PMCID: PMC11018999 DOI: 10.3389/fneur.2024.1359292] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2024] [Accepted: 03/12/2024] [Indexed: 04/19/2024] Open
Abstract
Background To investigate the causal associations of serum urate (SUA) with stroke risk and prognosis using Mendelian randomization (MR) and the potential mediating role of stroke risk factors in the causal pathways. Methods We used the random-effects inverse variance weighting (IVW) as our primary method. We initially performed two-sample univariable MR (UVMR) to identify the causal associations of SUA (n = 437,354) with any stroke (AS, FinnGen: n = 311,635; MEGASTROKE: n = 446,696), ischemic stroke (IS, FinnGen: n = 212,774; MEGASTROKE: n = 440,328), intracranial hemorrhage (ICH, FinnGen: n = 343,663; ISGC: n = 3,026), functional outcome after ischemic stroke at 90d (n = 4,363), and motor recovery within 24 months after stroke (n = 488), and then multivariable MR (MVMR) to estimate the direct causal effects of SUA on these outcomes, adjusting for potential confounders. Finally, we further conducted a two-step MR to investigate the potential mediating role of body mass index (BMI), systolic blood pressure (SBP), diastolic blood pressure (DBP), and estimated glomerular filtration rate (eGFR) in the identified causal pathways. Results Genetically predicted elevated SUA levels were significantly associated with increased risk of AS (meta-analysis: OR = 1.09, 95% CI [1.04-1.13], p = 3.69e-05) and IS (meta-analysis: OR = 1.10, 95% CI [1.01-1.19], p = 0.021) and with improved poor functional outcome after ischemic stroke at 90d (OR = 0.81, 95% CI [0.72-0.90], p = 1.79e-04) and motor recovery within 24 months after stroke (OR = 1.42, 95% CI [1.23-1.64], p = 2.15e-06). In MVMR, SBP and DBP significantly attenuated the causal effects of SUA on AS, IS, and functional outcome after ischemic stroke at 90d and motor recovery within 24 months after stroke. Further mediation analyses showed that SBP mediated 52.4 and 34.5% of the effects of SUA on AS and IS, while DBP mediated 28.5 and 23.4% of the causal effects, respectively. Conclusion This study supports the dual role of genetically predicted SUA in increasing stroke risk, especially ischemic stroke risk, and in improving functional outcome and motor recovery. SBP and DBP are key mediators lying on the causal pathways of SUA with AS and IS.
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Affiliation(s)
- Shixuan Chen
- Department of Rehabilitation Medicine, Wenzhou Hospital of Integrated Traditional Chinese and Western Medicine, Zhejiang Chinese Medical University, Wenzhou, China
| | - Zhenzhen Chen
- Department of Nursing, Wenzhou Hospital of Integrated Traditional Chinese and Western Medicine, Zhejiang Chinese Medical University, Wenzhou, China
| | - Qingqing Xu
- Department of Rehabilitation Medicine, Wenzhou Hospital of Integrated Traditional Chinese and Western Medicine, Zhejiang Chinese Medical University, Wenzhou, China
| | - Xia Jiang
- Department of Rehabilitation Medicine, Wenzhou Hospital of Integrated Traditional Chinese and Western Medicine, Zhejiang Chinese Medical University, Wenzhou, China
| | - Chuyong Lin
- Department of Rehabilitation Medicine, Wenzhou Hospital of Integrated Traditional Chinese and Western Medicine, Zhejiang Chinese Medical University, Wenzhou, China
| | - Jing Ji
- Department of Rehabilitation Medicine, Wenzhou Hospital of Integrated Traditional Chinese and Western Medicine, Zhejiang Chinese Medical University, Wenzhou, China
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12
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Martin SS, Aday AW, Almarzooq ZI, Anderson CAM, Arora P, Avery CL, Baker-Smith CM, Barone Gibbs B, Beaton AZ, Boehme AK, Commodore-Mensah Y, Currie ME, Elkind MSV, Evenson KR, Generoso G, Heard DG, Hiremath S, Johansen MC, Kalani R, Kazi DS, Ko D, Liu J, Magnani JW, Michos ED, Mussolino ME, Navaneethan SD, Parikh NI, Perman SM, Poudel R, Rezk-Hanna M, Roth GA, Shah NS, St-Onge MP, Thacker EL, Tsao CW, Urbut SM, Van Spall HGC, Voeks JH, Wang NY, Wong ND, Wong SS, Yaffe K, Palaniappan LP. 2024 Heart Disease and Stroke Statistics: A Report of US and Global Data From the American Heart Association. Circulation 2024; 149:e347-e913. [PMID: 38264914 DOI: 10.1161/cir.0000000000001209] [Citation(s) in RCA: 182] [Impact Index Per Article: 182.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/25/2024]
Abstract
BACKGROUND The American Heart Association (AHA), in conjunction with the National Institutes of Health, annually reports the most up-to-date statistics related to heart disease, stroke, and cardiovascular risk factors, including core health behaviors (smoking, physical activity, nutrition, sleep, and obesity) and health factors (cholesterol, blood pressure, glucose control, and metabolic syndrome) that contribute to cardiovascular health. The AHA Heart Disease and Stroke Statistical Update presents the latest data on a range of major clinical heart and circulatory disease conditions (including stroke, brain health, complications of pregnancy, kidney disease, congenital heart disease, rhythm disorders, sudden cardiac arrest, subclinical atherosclerosis, coronary heart disease, cardiomyopathy, heart failure, valvular disease, venous thromboembolism, and peripheral artery disease) and the associated outcomes (including quality of care, procedures, and economic costs). METHODS The AHA, through its Epidemiology and Prevention Statistics Committee, continuously monitors and evaluates sources of data on heart disease and stroke in the United States and globally to provide the most current information available in the annual Statistical Update with review of published literature through the year before writing. The 2024 AHA Statistical Update is the product of a full year's worth of effort in 2023 by dedicated volunteer clinicians and scientists, committed government professionals, and AHA staff members. The AHA strives to further understand and help heal health problems inflicted by structural racism, a public health crisis that can significantly damage physical and mental health and perpetuate disparities in access to health care, education, income, housing, and several other factors vital to healthy lives. This year's edition includes additional global data, as well as data on the monitoring and benefits of cardiovascular health in the population, with an enhanced focus on health equity across several key domains. RESULTS Each of the chapters in the Statistical Update focuses on a different topic related to heart disease and stroke statistics. CONCLUSIONS The Statistical Update represents a critical resource for the lay public, policymakers, media professionals, clinicians, health care administrators, researchers, health advocates, and others seeking the best available data on these factors and conditions.
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13
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Parodi L, Comeau ME, Georgakis MK, Mayerhofer E, Chung J, Falcone GJ, Malik R, Demel SL, Worrall BB, Koch S, Testai FD, Kittner SJ, McCauley JL, Hall CE, Mayson DJ, Elkind MSV, James ML, Woo D, Rosand J, Langefeld CD, Anderson CD. Deep Resequencing of the 1q22 Locus in Non-Lobar Intracerebral Hemorrhage. Ann Neurol 2024; 95:325-337. [PMID: 37787451 PMCID: PMC10843118 DOI: 10.1002/ana.26814] [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: 04/19/2023] [Revised: 09/22/2023] [Accepted: 09/28/2023] [Indexed: 10/04/2023]
Abstract
OBJECTIVE Genome-wide association studies have identified 1q22 as a susceptibility locus for cerebral small vessel diseases, including non-lobar intracerebral hemorrhage (ICH) and lacunar stroke. In the present study, we performed targeted high-depth sequencing of 1q22 in ICH cases and controls to further characterize this locus and prioritize potential causal mechanisms, which remain unknown. METHODS A total of 95,000 base pairs spanning 1q22, including SEMA4A, SLC25A44, and PMF1/PMF1-BGLAP were sequenced in 1,055 spontaneous ICH cases (534 lobar and 521 non-lobar) and 1,078 controls. Firth regression and Rare Variant Influential Filtering Tool analysis were used to analyze common and rare variants, respectively. Chromatin interaction analyses were performed using Hi-C, chromatin immunoprecipitation followed by sequencing, and chromatin interaction analysis with paired-end tag databases. Multivariable Mendelian randomization assessed whether alterations in gene-specific expression relative to regionally co-expressed genes at 1q22 could be causally related to ICH risk. RESULTS Common and rare variant analyses prioritized variants in SEMA4A 5'-UTR and PMF1 intronic regions, overlapping with active promoter and enhancer regions based on ENCODE annotation. Hi-C data analysis determined that 1q22 is spatially organized in a single chromatin loop, and that the genes therein belong to the same topologically associating domain. Chromatin immunoprecipitation followed by sequencing and chromatin interaction analysis with paired-end tag data analysis highlighted the presence of long-range interactions between the SEMA4A-promoter and PMF1-enhancer regions prioritized by association testing. Multivariable Mendelian randomization analyses demonstrated that PMF1 overexpression could be causally related to non-lobar ICH risk. INTERPRETATION Altered promoter-enhancer interactions leading to PMF1 overexpression, potentially dysregulating polyamine catabolism, could explain demonstrated associations with non-lobar ICH risk at 1q22, offering a potential new target for prevention of ICH and cerebral small vessel disease. ANN NEUROL 2024;95:325-337.
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Affiliation(s)
- Livia Parodi
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- McCance Center for Brain Health, Massachusetts General Hospital, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Neurology, Brigham and Women's Hospital, Boston, MA, USA
| | - Mary E Comeau
- Department of Biostatistics and Data Science, Division of Public Health Sciences, Wake Forest University School of Medicine, Winston-Salem, NC, USA
- Center for Precision Medicine, Wake Forest University School of Medicine, Winston-Salem, NC, USA
| | - Marios K Georgakis
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Institute for Stroke and Dementia Research (ISD), University Hospital, Ludwig-Maximilians-University (LMU) Munich, Munich, Germany
| | - Ernst Mayerhofer
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- McCance Center for Brain Health, Massachusetts General Hospital, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Jaeyoon Chung
- Department of Medicine, Boston University School of Medicine, Boston, MA, USA
| | - Guido J Falcone
- Division of Neurocritical Care and Emergency Neurology, Department of Neurology, Yale School of Medicine, New Haven, CT, USA
| | - Rainer Malik
- Institute for Stroke and Dementia Research (ISD), University Hospital, Ludwig-Maximilians-University (LMU) Munich, Munich, Germany
| | - Stacie L Demel
- Department of Neurology, University of Cincinnati, Cincinnati, OH, USA
| | - Bradford B Worrall
- Department of Neurology, University of Virginia, Charlottesville, VA, USA
| | - Sebastian Koch
- Department of Public Health Sciences, University of Virginia, Charlottesville, VA, USA
- Department of Neurology, Miller School of Medicine, University of Miami, Miami, FL, USA
| | - Fernando D Testai
- Department of Neurology & Neurorehabilitation, College of Medicine, University of Illinois at Chicago, Chicago, IL, USA
| | - Steven J Kittner
- Department of Neurology, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Jacob L McCauley
- John P. Hussman Institute for Human Genomics, University of Miami Miller School of Medicine, Miami, FL, USA
| | - Christiana E Hall
- Department of Neurology, University of Texas Southwestern, Dallas, TX, USA
| | - Douglas J Mayson
- Division of Stroke, Medstar Georgetown University Hospital, Washington, DC, USA
| | - Mitchell S V Elkind
- Department of Neurology, Vagelos College of Physicians and Surgeons and Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY, USA
| | | | - Daniel Woo
- Department of Neurology, University of Cincinnati, Cincinnati, OH, USA
| | - Jonathan Rosand
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- McCance Center for Brain Health, Massachusetts General Hospital, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Carl D Langefeld
- Department of Biostatistics and Data Science, Division of Public Health Sciences, Wake Forest University School of Medicine, Winston-Salem, NC, USA
- Center for Precision Medicine, Wake Forest University School of Medicine, Winston-Salem, NC, USA
| | - Christopher D Anderson
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- McCance Center for Brain Health, Massachusetts General Hospital, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Neurology, Brigham and Women's Hospital, Boston, MA, USA
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14
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Qing X, Jiang J, Yuan C, Wang K. Mendelian randomization analysis identifies a genetic casual association between circulating C-reactive protein and intracerebral hemorrhage. J Stroke Cerebrovasc Dis 2024; 33:107554. [PMID: 38176227 DOI: 10.1016/j.jstrokecerebrovasdis.2023.107554] [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: 05/24/2023] [Revised: 12/21/2023] [Accepted: 12/30/2023] [Indexed: 01/06/2024] Open
Abstract
BACKGROUND The causal effect of C-reactive protein (CRP) on intracerebral hemorrhage (ICH) remains controversial. We discussed the causal association of CRP with ICH based on two-sample Mendelian randomization. METHODS The data from two genome-wide association studies (GWAS) of European ancestry was extracted, including circulating CRP levels (204,402 individuals) and ICH (1,687 cases and 201,146 controls). The inverse variance weighted (IVW) method was primary tool to evaluate the causal relationship of circulating CRP levels on ICH risk. MR-Egger regression and MR-PRESSO global test were utilized to identify pleiotropy. Heterogeneity was discussed with Cochran's Q test. The leave-one-out analysis explored the reliability of the results. RESULTS 54 SNPs were identified as instrumental variables (IVs) for circulating CRP levels, and these IVs had no significant horizontal pleiotropy, heterogeneity, or bias. MR analysis demonstrated a causal relationship between elevated circulating CRP levels and decreased risk of ICH (ORIVW = 0.828, 95% CI 0.692-0.992, P = 0.040). CONCLUSION Elevated circulating CRP levels demonstrated a significant potentially protective causal relationship with risk of ICH.
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Affiliation(s)
- Xin Qing
- Clinical Laboratory, Boai Hospital of Zhongshan Affiliated to Southern Medical University, Zhongshan, PR China; West China Hospital, Sichuan University, Chengdu, PR China
| | - Junyi Jiang
- Clinical Laboratory, Boai Hospital of Zhongshan Affiliated to Southern Medical University, Zhongshan, PR China
| | - Chunlei Yuan
- Clinical Laboratory, Boai Hospital of Zhongshan Affiliated to Southern Medical University, Zhongshan, PR China
| | - Ke Wang
- Clinical Laboratory, Boai Hospital of Zhongshan Affiliated to Southern Medical University, Zhongshan, PR China.
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15
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Wu Z, Jiang Y, Guo Z, Li P, Zheng Y, Wang Y, Zhang H, Balmer L, Li X, Tao L, Zhang Q, Gao B, Guo X. Remnant cholesterol traits and risk of stroke: A multivariable Mendelian randomization study. PNAS NEXUS 2024; 3:pgae033. [PMID: 38380054 PMCID: PMC10877093 DOI: 10.1093/pnasnexus/pgae033] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/22/2023] [Accepted: 01/09/2024] [Indexed: 02/22/2024]
Abstract
Observational epidemiological studies have reported a relationship between remnant cholesterol and stroke. However, the results are inconclusive, and causality remains unclear due to confounding or reverse causality. Our objective in this study was to investigate the causal relevance of remnant cholesterol and the risk of stroke and its subtypes using the Mendelian randomization (MR) approach. Genome-wide association studies (GWASs) including 115,082 European individuals (UK Biobank) were used to identify instruments for remnant cholesterol, including intermediate-density lipoprotein (IDL) cholesterol and very-low-density lipoprotein (VLDL) cholesterol. Summary-level data for total stroke, intracerebral hemorrhage, subarachnoid hemorrhage, ischemic stroke (IS), and IS subtypes were obtained from GWAS meta-analyses conducted by the MEGASTROKE consortium. Univariable and multivariable MR analyses were performed. The GWAS identified multiple single-nucleotide polymorphisms after clumping for remnant cholesterol (n = 52), IDL cholesterol (n = 62), and VLDL cholesterol (n = 67). Assessed individually using MR, remnant cholesterol (weighted median: odds ratio [OR] 1.32 per 1-SD higher trait; 95% CI: 1.04-1.67; P = 0.024) had effect estimates consistent with a higher risk of LAS-IS, driven by IDL cholesterol (OR 1.32; 95% CI: 1.04-1.68; P = 0.022). In multivariable MR, IDL cholesterol (OR 1.46; 95% CI: 1.10-1.93; P = 0.009) retained a robust effect on LAS-IS after controlling for VLDL cholesterol and high-density lipoprotein cholesterol. The MR analysis did not indicate causal associations between remnant cholesterol and other stroke subtypes. This study suggests that remnant cholesterol is causally associated with the risk of LAS-IS driven by IDL cholesterol.
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Affiliation(s)
- Zhiyuan Wu
- Beijing Municipal Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, Beijing 100069, China
- Centre for Precision Health, School of Medical and Health Sciences, Edith Cowan University, Joondalup, WA 6027, Australia
| | - Yue Jiang
- Beijing Municipal Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, Beijing 100069, China
| | - Zheng Guo
- Centre for Precision Health, School of Medical and Health Sciences, Edith Cowan University, Joondalup, WA 6027, Australia
| | - Pingan Li
- Beijing Municipal Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, Beijing 100069, China
| | - Yulu Zheng
- Centre for Precision Health, School of Medical and Health Sciences, Edith Cowan University, Joondalup, WA 6027, Australia
| | - Yutao Wang
- Centre of Xunshu, Shanghai Fufan Information Technology Co., Ltd, Shanghai 200433, China
| | - Haiping Zhang
- Beijing Municipal Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, Beijing 100069, China
| | - Lois Balmer
- Centre for Precision Health, School of Medical and Health Sciences, Edith Cowan University, Joondalup, WA 6027, Australia
| | - Xingang Li
- Centre for Precision Health, School of Medical and Health Sciences, Edith Cowan University, Joondalup, WA 6027, Australia
| | - Lixin Tao
- Beijing Municipal Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, Beijing 100069, China
| | - Qi Zhang
- Department of Informatics, Huashan Hospital, Fudan University, Shanghai 200040, China
| | - Bo Gao
- Beijing Municipal Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, Beijing 100069, China
| | - Xiuhua Guo
- Beijing Municipal Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, Beijing 100069, China
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Liu Y, Jia Y, Sun H, Sun L, Wang Y, Xu Q, He Y, Chang X, Guo D, Shi M, Chen GC, Zheng J, Zhu Z. Genetic analyses identify brain imaging-derived phenotypes associated with the risk of intracerebral hemorrhage. Cereb Cortex 2024; 34:bhad518. [PMID: 38185989 DOI: 10.1093/cercor/bhad518] [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: 11/08/2023] [Revised: 12/08/2023] [Accepted: 12/09/2023] [Indexed: 01/09/2024] Open
Abstract
Previous observational studies have reported associations between brain imaging-derived phenotypes (IDPs) and intracerebral hemorrhage (ICH), but the causality between them remains uncertain. We aimed to investigate the potential causal relationship between IDPs and ICH by a two-sample Mendelian randomization (MR) study. We selected genetic instruments for 363 IDPs from a genome-wide association study (GWASs) based on the UK Biobank (n = 33,224). Summary-level data on ICH was derived from a European-descent GWAS with 1,545 cases and 1,481 controls. Inverse variance weighted MR method was applied in the main analysis to investigate the associations between IDPs and ICH. Reverse MR analyses were performed for significant IDPs to examine the reverse causation for the identified associations. Among the 363 IDPs, isotropic or free water volume fraction (ISOVF) in the anterior limb of the left internal capsule was identified to be associated with the risk of ICH (OR per 1-SD increase, 4.62 [95% CI, 2.18-9.81], P = 6.63 × 10-5). In addition, the reverse MR analysis indicated that ICH had no effect on ISOVF in the anterior limb of the left internal capsule (beta, 0.010 [95% CI, -0.010-0.030], P = 0.33). MR-Egger regression analysis showed no directional pleiotropy for the association between ISOVF and ICH, and sensitivity analyses with different MR models further confirmed these findings. ISOVF in the anterior limb of the left internal capsule might be a potential causal mediator of ICH, which may provide predictive guidance for the prevention of ICH. Further studies are warranted to replicate our findings and clarify the underlying mechanisms.
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Affiliation(s)
- Yi Liu
- Department of Epidemiology, School of Public Health, Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, MOE Key Laboratory of Geriatric Diseases and Immunology, 199 Renai Road, Industrial Park District, Suzhou Medical College of Soochow University, Suzhou, Jiangsu 215123, China
| | - Yiming Jia
- Department of Epidemiology, School of Public Health, Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, MOE Key Laboratory of Geriatric Diseases and Immunology, 199 Renai Road, Industrial Park District, Suzhou Medical College of Soochow University, Suzhou, Jiangsu 215123, China
| | - Hongyan Sun
- Department of Medical Imaging, 11 Guangqian Road, Xiangcheng District, The Affiliated Guangji Hospital of Soochow University, Suzhou, China
| | - Lulu Sun
- Department of Epidemiology, School of Public Health, Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, MOE Key Laboratory of Geriatric Diseases and Immunology, 199 Renai Road, Industrial Park District, Suzhou Medical College of Soochow University, Suzhou, Jiangsu 215123, China
| | - Yinan Wang
- Department of Epidemiology, School of Public Health, Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, MOE Key Laboratory of Geriatric Diseases and Immunology, 199 Renai Road, Industrial Park District, Suzhou Medical College of Soochow University, Suzhou, Jiangsu 215123, China
| | - Qingyun Xu
- Department of Epidemiology, School of Public Health, Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, MOE Key Laboratory of Geriatric Diseases and Immunology, 199 Renai Road, Industrial Park District, Suzhou Medical College of Soochow University, Suzhou, Jiangsu 215123, China
| | - Yu He
- Department of Epidemiology, School of Public Health, Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, MOE Key Laboratory of Geriatric Diseases and Immunology, 199 Renai Road, Industrial Park District, Suzhou Medical College of Soochow University, Suzhou, Jiangsu 215123, China
| | - Xinyue Chang
- Department of Epidemiology, School of Public Health, Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, MOE Key Laboratory of Geriatric Diseases and Immunology, 199 Renai Road, Industrial Park District, Suzhou Medical College of Soochow University, Suzhou, Jiangsu 215123, China
| | - Daoxia Guo
- School of Nursing, 333 Ganjiang East Road, Gusu District, Suzhou Medical College of Soochow University, Suzhou, China
| | - Mengyao Shi
- Department of Epidemiology, School of Public Health, Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, MOE Key Laboratory of Geriatric Diseases and Immunology, 199 Renai Road, Industrial Park District, Suzhou Medical College of Soochow University, Suzhou, Jiangsu 215123, China
| | - Guo-Chong Chen
- Department of Nutrition and Food Hygiene, School of Public Health, 199 Renai Road, Industrial Park District, Suzhou Medical College of Soochow University, Suzhou, China
| | - Jin Zheng
- Department of Neurology, Minhang Hospital, 170 Xinsong Road, Xinzhuang Town, Minhang District, Fudan University, Shanghai, China
| | - Zhengbao Zhu
- Department of Epidemiology, School of Public Health, Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, MOE Key Laboratory of Geriatric Diseases and Immunology, 199 Renai Road, Industrial Park District, Suzhou Medical College of Soochow University, Suzhou, Jiangsu 215123, China
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Chen R, Liu H, Zhang G, Zhang Q, Hua W, Zhang L, Lv N, Zhang Y, Dai D, Zhao R, Li Q, Huang Q, Xu Y, Yang P, Liu J, Zuo Q. Antioxidants and the risk of stroke: results from NHANES and two-sample Mendelian randomization study. Eur J Med Res 2024; 29:50. [PMID: 38217043 PMCID: PMC10785483 DOI: 10.1186/s40001-024-01646-5] [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: 06/26/2023] [Accepted: 01/06/2024] [Indexed: 01/14/2024] Open
Abstract
BACKGROUND Stroke is the second leading cause of death worldwide, and observational studies have suggested a correlation between antioxidants and reduced stroke risk. However, it remains unclear whether causal relationships exist. METHODS This study first performed a cross-sectional study of the association between the Composite Dietary Antioxidant Index (CDAI) and stroke using data from the National Health and Nutrition Examination Survey (NHANES) 2007-2018. Second, a two-sample univariable Mendelian Randomization (MR) was performed to analyze the causal effect of circulating levels of antioxidants on different subtypes of stroke. RESULTS The cross-sectional study included a total of 24,892 participants representing more than 200 million US non-institutionalized residents, a multivariable logistic regression model revealed that the risk of stroke decreased by 3.4% for each unit increase in CDAI (P = 0.017), with a non-linear association found, indicating a reduction in stroke risk before an inflection point of 3.078. MR analysis revealed that genetically determined levels of retinol had a suggestive protective effect on subarachnoid hemorrhage (SAH) (OR = 0.348, P = 0.025), and genetically determined levels of selenium had a suggestive protective effect against SAH (OR = 0.826, P = 0.007). However, no causal relationship was found between antioxidants and ischemic stroke or intracranial hemorrhage risk. CONCLUSIONS Evidence suggests that diet-derived antioxidants may reduce the risk of stroke, as indicated by the protective effects of retinol and selenium against SAH. However, more research is needed to fully understand how antioxidants prevent stroke.
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Affiliation(s)
- Rundong Chen
- Neurovascular Center, Changhai Hospital, Naval Medical University, #168 Changhai Road, Shanghai, 200433, China
- School of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai, China
| | - Hanchen Liu
- Neurovascular Center, Changhai Hospital, Naval Medical University, #168 Changhai Road, Shanghai, 200433, China
| | - Guanghao Zhang
- Neurovascular Center, Changhai Hospital, Naval Medical University, #168 Changhai Road, Shanghai, 200433, China
| | - Qian Zhang
- Department of Neurosurgery, Sir Run Run Shaw Hospital, College of Medicine, Zhejiang University, Zhejiang, China
| | - Weilong Hua
- Neurovascular Center, Changhai Hospital, Naval Medical University, #168 Changhai Road, Shanghai, 200433, China
| | - Lei Zhang
- Neurovascular Center, Changhai Hospital, Naval Medical University, #168 Changhai Road, Shanghai, 200433, China
| | - Nan Lv
- Neurovascular Center, Changhai Hospital, Naval Medical University, #168 Changhai Road, Shanghai, 200433, China
| | - Yilei Zhang
- Nursing Department, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Zhejiang, China
| | - Dongwei Dai
- Neurovascular Center, Changhai Hospital, Naval Medical University, #168 Changhai Road, Shanghai, 200433, China
| | - Rui Zhao
- Neurovascular Center, Changhai Hospital, Naval Medical University, #168 Changhai Road, Shanghai, 200433, China
| | - Qiang Li
- Neurovascular Center, Changhai Hospital, Naval Medical University, #168 Changhai Road, Shanghai, 200433, China
| | - Qinghai Huang
- Neurovascular Center, Changhai Hospital, Naval Medical University, #168 Changhai Road, Shanghai, 200433, China
| | - Yi Xu
- Neurovascular Center, Changhai Hospital, Naval Medical University, #168 Changhai Road, Shanghai, 200433, China
| | - Pengfei Yang
- Neurovascular Center, Changhai Hospital, Naval Medical University, #168 Changhai Road, Shanghai, 200433, China
- School of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai, China
| | - Jianmin Liu
- Neurovascular Center, Changhai Hospital, Naval Medical University, #168 Changhai Road, Shanghai, 200433, China.
- School of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai, China.
| | - Qiao Zuo
- Neurovascular Center, Changhai Hospital, Naval Medical University, #168 Changhai Road, Shanghai, 200433, China.
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Hu J, Wang H, Zhou Y. Genetically predicted chronic rhinosinusitis and the risk of stroke: a two-sample Mendelian randomization study. Front Neurol 2024; 14:1294321. [PMID: 38274878 PMCID: PMC10808795 DOI: 10.3389/fneur.2023.1294321] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2023] [Accepted: 12/27/2023] [Indexed: 01/27/2024] Open
Abstract
Objective The causal association between chronic rhinosinusitis (CRS) and stroke remains uncertain due to the susceptibility of observational studies to confounding and the possibility of reverse causality. This study aims to examine the potential causal relationship between CRS and the risk of stroke, encompassing various subtypes. Methods In this research, we utilized genome-wide association study (GWAS) data for CRS from FinnGen. We identified significant single-nucleotide polymorphisms (SNPs) associated with CRS and used them as instrumental variables (IVs). GWAS data for any ischemic stroke (AIS), ischemic stroke (IS), large-artery atherosclerotic stroke (LAS), small-vessel strokes (SVS), cardioembolic strokes (CES), intracerebral hemorrhage (ICH), lobar ICH, and non-lobar ICH came from multi-ancestry GWAS datasets. We conducted two-sample Mendelian randomization (MR) analyses using inverse variance weighting (IVW), weighted median, and MR-Egger regression methods to investigate potential causal relationships between CRS and stroke. Both heterogeneity and pleiotropy were evaluated by sensitivity analyses. Result The IVW analysis revealed no significant associations between CRS and AIS (OR = 0.99, 95% CI [0.93-1.05], p = 0.73), IS (OR = 0.97, 95% CI [0.81-1.17], p = 0.09), SVS (OR = 0.96, 95% CI [0.82-1.12], p = 0.58), LAS (OR = 0.91, 95% CI [0.77-1.08], p = 0.09), CES (OR = 0.97, 95% CI [0.81-1.17], p = 0.79), ICH (OR = 1.28, 95% CI [0.74-2.22], p = 0.28), lobar ICH (OR = 1.22, 95% CI [0.60-2.50], p = 0.28), and non-lobar ICH (OR = 1.25, 95% CI [0.65-2.40], p = 0.79). Sensitivity analysis found no evidence of horizontal pleiotropy. Conclusion According to genetic evidence, this Mendelian randomization (MR) study does not indicate a causal relationship between CRS and stroke in European populations. However, further studies are necessary to comprehensively evaluate the potential association between CRS and stroke.
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Affiliation(s)
- Jingjing Hu
- Department of Emergency Medicine, Hangzhou Third People’s Hospital, Hangzhou, China
| | - Hui Wang
- Department of Geratology, Hangzhou Third People’s Hospital, Hangzhou, China
| | - Yidan Zhou
- Department of Emergency Medicine, Hangzhou Third People’s Hospital, Hangzhou, China
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Zou X, Zhang L, Wang L, Wang S, Zeng Y. Exploring the Causality of Type 1 Diabetes and Stroke Risk: A Mendelian Randomization Study and Meta-analysis. Mol Neurobiol 2023; 60:6814-6825. [PMID: 37493922 DOI: 10.1007/s12035-023-03517-2] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2023] [Accepted: 07/15/2023] [Indexed: 07/27/2023]
Abstract
Type II diabetes was causally related to stroke, which is a risk factor for stroke. However, the causal relationship between type I diabetes(T1D) and stroke, especially its subtypes, remains unclear. To determine whether T1D has a genetic causal link to stroke and its subtypes, we undertook this mendelian randomization (MR) study. The genome-wide association studies (GWAS) of T1D was the source of exposure. The outcomes were strokes and their subtypes, including ischemic stroke (IS), small vessel stroke (SVS), cardioembolic stroke (CES), large artery atherosclerosis stroke (LAS), intracerebral hemorrhage (ICH), lobar intracerebral hemorrhage (LICH), and non-lobar intracerebral hemorrhage (NLICH). We used outcome GWAS conducted by ISGC consortium for the initial phase and GWAS from MEGASTROKE consortium as the data for the replication phase to confirm the causal association. Besides, we conducted a meta-analysis of the causal association from ISGC and MEGASTROKE databases to confirm robust causality. Inverse-variance weighting (IVW) was utilized as the primary method to estimate the causality between T1D and stroke. The Cochran's Q test and the MR-PRESSO global test were used to examine the sensitivity. We discovered the causal relationship between T1D and SVS (OR = 1.17, 95% CI: 1.07-1.28, p = 6.0 × 10- 4), CES (OR = 1.11, 95%CI: 1.03-1.21, p = 0.0080) in initial stage. The replication phase validated T1D has a causal relationship with SVS (OR = 1.12, 95% CI: 1.06-1.18, p = 4.0 × 10- 5), but not with stroke and other subtypes. The meta-analysis of initial and replication stage again supported the causal link between T1D and SVS (OR = 1.13, 95% CI: 1.08-1.18, p < 0.05). However, no causal relationship was found between T1D and other stroke subtypes. The sensitivity analysis also supported the robust of these results. In conclusion, T1D was causally associated with SVS, but not with other subtypes of stroke. More investigation is needed to understand the underlying biology mechanism.
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Affiliation(s)
- Xuelun Zou
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan, 410008, P. R. China.
| | - Le Zhang
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan, 410008, P. R. China.
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan, 410008, P.R. China.
- Multi-Modal Monitoring Technology for Severe Cerebrovascular Disease of Human Engineering Research Center, Xiangya Hospital, Central South University, Changsha, Hunan, 410008, P.R. China.
| | - Leiyun Wang
- Department of Pharmacy, Wuhan First Hospital, Wuhan, China
| | - Sai Wang
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan, 410008, P. R. China
| | - Yi Zeng
- Department of Geriatrics, Second Xiangya Hospital, Central South University, Changsha, Hunan, 410011, P.R. China
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Kelly DM, Georgakis MK, Franceschini N, Blacker D, Viswanathan A, Anderson CD. Interplay Between Chronic Kidney Disease, Hypertension, and Stroke: Insights From a Multivariable Mendelian Randomization Analysis. Neurology 2023; 101:e1960-e1969. [PMID: 37775316 PMCID: PMC10662984 DOI: 10.1212/wnl.0000000000207852] [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: 06/27/2023] [Accepted: 07/31/2023] [Indexed: 10/01/2023] Open
Abstract
BACKGROUND AND OBJECTIVES Chronic kidney disease (CKD) increases the risk of stroke, but the extent through which this association is mediated by hypertension is unknown. We leveraged large-scale genetic data to explore causal relationships between CKD, hypertension, and cerebrovascular disease phenotypes. METHODS We used data from genome-wide association studies of European ancestry to identify genetic proxies for kidney function (CKD diagnosis, estimated glomerular filtration rate [eGFR], and urinary albumin-to-creatinine ratio [UACR]), systolic blood pressure (SBP), and cerebrovascular disease (ischemic stroke and its subtypes and intracerebral hemorrhage). We then conducted univariable, multivariable, and mediation Mendelian randomization (MR) analyses to investigate the effect of kidney function on stroke risk and the proportion of this effect mediated through hypertension. RESULTS Univariable MR revealed associations between genetically determined lower eGFR and risk of all stroke (odds ratio [OR] per 1-log decrement in eGFR, 1.77; 95% CI 1.31-2.40; p < 0.001), ischemic stroke (OR 1.81; 95% CI 1.31-2.51; p < 0.001), and most strongly with large artery stroke (LAS) (OR 3.00; 95% CI 1.33-6.75; p = 0.008). These associations remained significant in the multivariable MR analysis, controlling for SBP (OR 1.98; 95% CI 1.39-2.82; p < 0.001 for all stroke; OR 2.16; 95% CI 1.48-3.17; p < 0.001 for ischemic stroke; OR 4.35; 95% CI 1.84-10.27; p = 0.001 for LAS), with only a small proportion of the total effects mediated by SBP (6.5% [0.7%-16.8%], 6.6% [0.8%-18.3%], and 7.2% [0.5%-24.8%], respectively). Total, direct and indirect effect estimates were similar across a number of sensitivity analyses (weighted median, MR-Egger regression). DISCUSSION Our results demonstrate an independent causal effect of impaired kidney function, as assessed by decreased eGFR, on stroke risk, particularly LAS, even when controlled for SBP. Targeted prevention of kidney disease could lower atherosclerotic stroke risk independent of hypertension.
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Affiliation(s)
- Dearbhla M Kelly
- From the J. Philip Kistler Stroke Research Center (D.M.K., A.V.), Department of Neurology, Massachusetts General Hospital, Harvard Medical School; Program in Medical and Population Genetics (D.M.K., M.K.G., C.D.A.), Broad Institute of Harvard and the Massachusetts Institute of Technology, Boston; Institute for Stroke and Dementia Research (M.K.G.), University Hospital of LMU Munich, Germany; McCance Center for Brain Health (M.K.G., C.D.A.), Massachusetts General Hospital, Boston; Department of Epidemiology (N.F.), University of North Carolina, Chapel Hill; Department of Psychiatry (D.B.), Massachusetts General Hospital, Harvard Medical School; Department of Epidemiology (D.B.), Harvard T.H. Chan School of Public Health; and Department of Neurology (C.D.A.), Brigham and Women's Hospital, Boston, MA.
| | - Marios K Georgakis
- From the J. Philip Kistler Stroke Research Center (D.M.K., A.V.), Department of Neurology, Massachusetts General Hospital, Harvard Medical School; Program in Medical and Population Genetics (D.M.K., M.K.G., C.D.A.), Broad Institute of Harvard and the Massachusetts Institute of Technology, Boston; Institute for Stroke and Dementia Research (M.K.G.), University Hospital of LMU Munich, Germany; McCance Center for Brain Health (M.K.G., C.D.A.), Massachusetts General Hospital, Boston; Department of Epidemiology (N.F.), University of North Carolina, Chapel Hill; Department of Psychiatry (D.B.), Massachusetts General Hospital, Harvard Medical School; Department of Epidemiology (D.B.), Harvard T.H. Chan School of Public Health; and Department of Neurology (C.D.A.), Brigham and Women's Hospital, Boston, MA
| | - Nora Franceschini
- From the J. Philip Kistler Stroke Research Center (D.M.K., A.V.), Department of Neurology, Massachusetts General Hospital, Harvard Medical School; Program in Medical and Population Genetics (D.M.K., M.K.G., C.D.A.), Broad Institute of Harvard and the Massachusetts Institute of Technology, Boston; Institute for Stroke and Dementia Research (M.K.G.), University Hospital of LMU Munich, Germany; McCance Center for Brain Health (M.K.G., C.D.A.), Massachusetts General Hospital, Boston; Department of Epidemiology (N.F.), University of North Carolina, Chapel Hill; Department of Psychiatry (D.B.), Massachusetts General Hospital, Harvard Medical School; Department of Epidemiology (D.B.), Harvard T.H. Chan School of Public Health; and Department of Neurology (C.D.A.), Brigham and Women's Hospital, Boston, MA
| | - Deborah Blacker
- From the J. Philip Kistler Stroke Research Center (D.M.K., A.V.), Department of Neurology, Massachusetts General Hospital, Harvard Medical School; Program in Medical and Population Genetics (D.M.K., M.K.G., C.D.A.), Broad Institute of Harvard and the Massachusetts Institute of Technology, Boston; Institute for Stroke and Dementia Research (M.K.G.), University Hospital of LMU Munich, Germany; McCance Center for Brain Health (M.K.G., C.D.A.), Massachusetts General Hospital, Boston; Department of Epidemiology (N.F.), University of North Carolina, Chapel Hill; Department of Psychiatry (D.B.), Massachusetts General Hospital, Harvard Medical School; Department of Epidemiology (D.B.), Harvard T.H. Chan School of Public Health; and Department of Neurology (C.D.A.), Brigham and Women's Hospital, Boston, MA
| | - Anand Viswanathan
- From the J. Philip Kistler Stroke Research Center (D.M.K., A.V.), Department of Neurology, Massachusetts General Hospital, Harvard Medical School; Program in Medical and Population Genetics (D.M.K., M.K.G., C.D.A.), Broad Institute of Harvard and the Massachusetts Institute of Technology, Boston; Institute for Stroke and Dementia Research (M.K.G.), University Hospital of LMU Munich, Germany; McCance Center for Brain Health (M.K.G., C.D.A.), Massachusetts General Hospital, Boston; Department of Epidemiology (N.F.), University of North Carolina, Chapel Hill; Department of Psychiatry (D.B.), Massachusetts General Hospital, Harvard Medical School; Department of Epidemiology (D.B.), Harvard T.H. Chan School of Public Health; and Department of Neurology (C.D.A.), Brigham and Women's Hospital, Boston, MA
| | - Christopher D Anderson
- From the J. Philip Kistler Stroke Research Center (D.M.K., A.V.), Department of Neurology, Massachusetts General Hospital, Harvard Medical School; Program in Medical and Population Genetics (D.M.K., M.K.G., C.D.A.), Broad Institute of Harvard and the Massachusetts Institute of Technology, Boston; Institute for Stroke and Dementia Research (M.K.G.), University Hospital of LMU Munich, Germany; McCance Center for Brain Health (M.K.G., C.D.A.), Massachusetts General Hospital, Boston; Department of Epidemiology (N.F.), University of North Carolina, Chapel Hill; Department of Psychiatry (D.B.), Massachusetts General Hospital, Harvard Medical School; Department of Epidemiology (D.B.), Harvard T.H. Chan School of Public Health; and Department of Neurology (C.D.A.), Brigham and Women's Hospital, Boston, MA
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Zou X, Wang L, Wang S, Zhang L. Mendelian randomization study and meta-analysis exploring the causality of age at menarche and the risk of intracerebral hemorrhage and ischemic stroke. CNS Neurosci Ther 2023; 29:3043-3052. [PMID: 37170723 PMCID: PMC10493675 DOI: 10.1111/cns.14245] [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: 01/31/2023] [Revised: 04/12/2023] [Accepted: 04/19/2023] [Indexed: 05/13/2023] Open
Abstract
BACKGROUND The relationship between the age at menarche (AAM) and the risk of intracerebral hemorrhage (ICH) and ischemic stroke (IS) is still up for debate. The purpose of this study was to investigate potential causal connections between them. METHODS Genome-wide association analysis (GWAS) of AAM conducted by the MRC-IEU consortium was utilized for association analyses of ICH and IS by two-sample Mendelian randomization (MR) study. AAM data of the within-family GWAS consortium were used as replication phase data to verify the causal relationship between each other. Inverse variance weighting (IVW) method was the primary method used in this MR study. For additional proof, the weighted median estimation, MR-Egger regression, MR-PRESSO test, and MR-Robust Adjusted Profile Score evaluation were performed. The Cochran's Q test and the MR-PRESSO global test were used, respectively, to examine the sensitivity and pleiotropy. Random effects meta-analysis was utilized to analyze the causal data from the two consortiums to further explore the causality between AAM and ICH, IS. RESULTS We found that the AAM was causally linked with the risk of ICH (OR = 0.48, 95% CI: 0.28-0.80, p = 0.006). On the contrary, the causal effect from AAM to IS (OR = 0.98, 95% CI: 0.91-1.06, p = 0.64) has not been confirmed. For all subtypes of ICH, we found that nonlobar intracerebral hemorrhage (NLICH, OR = 0.41, 95% CI: 0.23-0.75, p = 0.004) but not lobar intracerebral hemorrhage (LICH, OR = 0.65, 95% CI: 0.34-1.24, p = 0.19) was associated with AAM without surprise. Similarly, we used the within-family GWAS consortium data to explore causality and found that AAM may reduce the risk of ICH (OR = 0.78, 95% CI: 0.72-0.86, p = 9.5 × 10-8 ) and NLICH (OR = 0.68, 95% CI: 0.61-0.75, p = 3.4 × 10-13 ) by IVW methods, but is not related to IS (OR = 0.97, 95% CI: 0.93-1.02, p = 0.26). These findings are further supported by the meta-analysis. Both Cochran's Q test and the MR-PRESSO global test failed to detect the presence of sensitivity. CONCLUSION AAM and ICH, particularly NLICH, are causally related, but not LICH, IS, or its subtypes in European population.
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Affiliation(s)
- Xuelun Zou
- Department of NeurologyXiangya Hospital, Central South UniversityChangshaHunanChina
| | - Leiyun Wang
- Department of PharmacyWuhan First HospitalWuhanChina
| | - Sai Wang
- Department of NeurologyXiangya Hospital, Central South UniversityChangshaHunanChina
| | - Le Zhang
- Department of NeurologyXiangya Hospital, Central South UniversityChangshaHunanChina
- National Clinical Research Center for Geriatric Disorders, Xiangya HospitalCentral South UniversityChangshaHunanChina
- Multi‐Modal Monitoring Technology for Severe Cerebrovascular Disease of Human Engineering Research Center, Xiangya HospitalCentral South UniversityChangshaHunanChina
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Song Y, Zou X, Zeng Y, Zhang L, Mao X. Inflammatory bowel disease and the risk of intracerebral hemorrhage: A Mendelian randomization study and meta-analysis. Immun Inflamm Dis 2023; 11:e1048. [PMID: 37904677 PMCID: PMC10580698 DOI: 10.1002/iid3.1048] [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: 06/16/2023] [Revised: 09/22/2023] [Accepted: 09/29/2023] [Indexed: 11/01/2023] Open
Abstract
BACKGROUND The link between inflammatory bowel disease (IBD) and intracerebral hemorrhage (ICH) is still unclear. AIMS We conducted a Mendelian randomization research and meta-analysis to explore the impact of IBD and its subtypes (Crohn's disease [CD], ulcerative colitis [UC]) on the risk of ICH. METHODS Two large genome-wide association analysis studies of International Inflammatory Bowel Disease Genetics Consortium (IIBDGC) and International Stroke Genetics Consortium as exposure (IBD, UC, and CD) and outcome (ICH) in the initial stage. IBD, CD, UC GWAS data from the FinnGen consortium were adopted for the replication phase, and ultimately, the results of the initial stage and replication phase data were combined in a meta-analysis to evaluate the causal association between IBD and its subtypes and the risk of ICH. RESULTS In the initial stage, we found that in the IVW (odds ratio [OR] = 0.83, 95% confidence interval [CI]: 0.71-0.96, p = .01), MR-PRESSO (OR = 0.85, 95% CI: 0.75-0.97, p = .02) and MR.RAPS (OR = 0.86, 95% CI: 0.76-0.98, p = .02) method showed that UC is associated with the risk of ICH. The causal relationship between IBD, CD, and the risk of ICH cannot be found by the IVW method. IBD and its subtypes UC, CD, and risk of ICH cannot find the presence of heterogeneity and pleiotropy. In replication stage, IBD (OR = 0.74, 95% CI: 0.59-0.94, p = .0135) related to ICH, while the IVW approach did not establish a causal link in UC and CD. The meta-analysis still indicated that UC (OR = 0.83, 95% CI: 0.72-0.93, p < .05) would lessen the risk of ICH while the causality between IBD, CD, and ICH was unable to be established. CONCLUSION UC was causally related to ICH, but IBD and CD are not associated with ICH. The precise pathophysiological mechanism needs to be thoroughly investigated in more detail.
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Affiliation(s)
- Yanju Song
- Department of NeurologyChangsha Third HospitalChangshaHunanChina
| | - Xuelun Zou
- Department of Neurology, Xiangya HospitalCentral South UniversityChangshaHunanP.R. China
| | - Yi Zeng
- Department of Geriatrics, Second Xiangya HospitalCentral South UniversityChangshaHunanP.R. China
| | - Le Zhang
- Department of Neurology, Xiangya HospitalCentral South UniversityChangshaHunanP.R. China
- National Clinical Research Center for Geriatric Disorders, Xiangya HospitalCentral South UniversityChangshaHunanP.R. China
- Multi‐Modal Monitoring Technology for Severe Cerebrovascular Disease of Human Engineering Research Center, Xiangya HospitalCentral South UniversityChangshaHunanP.R. China
| | - Xinfa Mao
- Department of NeurologyChangsha Third HospitalChangshaHunanChina
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Zhu Y, Li M, Wang H, Yang F, Pang X, Du R, Zhang J, Huang X. Genetically proxied antidiabetic drugs targets and stroke risk. J Transl Med 2023; 21:681. [PMID: 37777789 PMCID: PMC10544120 DOI: 10.1186/s12967-023-04565-x] [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: 06/06/2023] [Accepted: 09/22/2023] [Indexed: 10/02/2023] Open
Abstract
BACKGROUND Previous studies have assessed the association between antidiabetic drugs and stroke risk, but the results are inconsistent. Mendelian randomization (MR) was used to assess effects of antidiabetic drugs on stroke risk. METHODS We selected blood glucose-lowering variants in genes encoding antidiabetic drugs targets from genome-wide association studies (GWAS). A two-sample MR and Colocalization analyses were applied to examine associations between antidiabetic drugs and the risk of stroke. For antidiabetic agents that had effect on stroke risk, an independent blood glucose GWAS summary data was used for further verification. RESULTS Genetic proxies for sulfonylureas targets were associated with reduced risk of any stroke (OR=0.062, 95% CI 0.013-0.295, P=4.65×10-4) and any ischemic stroke (OR=0.055, 95% CI 0.010-0.289, P=6.25×10-4), but not with intracranial hemorrhage. Colocalization supported shared casual variants for blood glucose with any stroke and any ischemic stroke within the encoding genes for sulfonylureas targets (KCNJ11 and ABCC8) (posterior probability>0.7). Furthermore, genetic variants in the targets of insulin/insulin analogues, glucagon-like peptide-1 analogues, thiazolidinediones, and metformin were not associated with the risk of any stroke, any ischemic stroke and intracranial hemorrhage. The association was consistent in the analysis of sulfonylureas with stroke risk using an independent blood glucose GWAS summary data. CONCLUSIONS Our findings showed that genetic proxies for sulfonylureas targets by lowering blood glucose were associated with a lower risk of any stroke and any ischemic stroke. The study might be of great significance to guide the selection of glucose-lowering drugs in individuals at high risk of stroke.
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Affiliation(s)
- Yahui Zhu
- Medical School of Chinese PLA, Beijing, China
- Department of Neurology, The First Medical Center, Chinese PLA General Hospital, No. 28 Fuxing Road, Haidian District, Beijing, 100853, China
| | - Mao Li
- Department of Neurology, The First Medical Center, Chinese PLA General Hospital, No. 28 Fuxing Road, Haidian District, Beijing, 100853, China
| | - Hongfen Wang
- Department of Neurology, The First Medical Center, Chinese PLA General Hospital, No. 28 Fuxing Road, Haidian District, Beijing, 100853, China
| | - Fei Yang
- Department of Neurology, The First Medical Center, Chinese PLA General Hospital, No. 28 Fuxing Road, Haidian District, Beijing, 100853, China
| | - Xinyuan Pang
- Department of Neurology, The First Medical Center, Chinese PLA General Hospital, No. 28 Fuxing Road, Haidian District, Beijing, 100853, China
- College of Medicine, Nankai University, Tianjin, China
| | - Rongrong Du
- Department of Neurology, The First Medical Center, Chinese PLA General Hospital, No. 28 Fuxing Road, Haidian District, Beijing, 100853, China
- College of Medicine, Nankai University, Tianjin, China
| | - Jinghong Zhang
- Medical School of Chinese PLA, Beijing, China
- Department of Neurology, The First Medical Center, Chinese PLA General Hospital, No. 28 Fuxing Road, Haidian District, Beijing, 100853, China
| | - Xusheng Huang
- Medical School of Chinese PLA, Beijing, China.
- Department of Neurology, The First Medical Center, Chinese PLA General Hospital, No. 28 Fuxing Road, Haidian District, Beijing, 100853, China.
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24
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Zou X, Wang L, Zeng Y, Zhang L. Illuminating the potential causality of serum level of matrix metalloproteinases and the occurrence of cardiovascular and cerebrovascular diseases: a Mendelian randomization study. J Hum Genet 2023; 68:615-624. [PMID: 37106065 DOI: 10.1038/s10038-023-01154-0] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2022] [Revised: 04/08/2023] [Accepted: 04/16/2023] [Indexed: 04/29/2023]
Abstract
BACKGROUND It is still not clear that whether the expression levels of matrix metalloproteinases (MMPs) family are associated with cardiovascular and cerebrovascular diseases (CCDs) in genetic level. We explored the causal role of 12 members of MMPs in CCDs with mendelian randomization (MR) method to facilitate further exploring the underlying mechanisms. METHODS The relationship between MMPs and CCDs including intracerebral hemorrhage (ICH), hypertension, coronary heart disease (CHD), atrial fibrillation (AF), and outstanding risk factors of type II diabetes were determined with the inverse variance-weighted (IVW) method. The sensitivity analyses including MR-Egger regression, weighted median estimation, and MR pleiotropy residual sum and outlier were utilized to test the robustness of the results generated from the MR method. RESULTS We found that a higher serum level of MMP-12 was related to a lower risk of ICH (OR = 0.8287, 95% CI: 0.7526-0.9125, p = 0.00013), but not hypertension, CHD, type II diabetes or AF. And our study also revealed that a higher serum level of MMP-8 could result in a lower risk of hypertension (OR = 0.9976, 95% CI: 0.9964-0.9988, p = 0.00012) and AF (OR = 0.9851, 95% CI: 0.9741-0.9963, p = 0.0092), but not ICH, CHD or type II diabetes. All other members of MMPs other than MMP-8 and MMP-12 showed no statistical association with CCDs according to this study. Sensitivity analyses confirmed the reliability of our results. CONCLUSIONS We provided statistical evidences for a potential causal relationship between MMP-12 and ICH, as well as MMP-8 and hypertension, while other MMPs showed weaker association with CCDs. The underlying mechanisms need to be established in the future.
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Affiliation(s)
- Xuelun Zou
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan, 410008, P.R. China
| | - Leiyun Wang
- Department of Pharmacy, Wuhan First Hospital, Wuhan, Hubei, P.R. China
| | - Yi Zeng
- Department of Geriatrics, Second Xiangya Hospital, Central South University, Changsha, Hunan, 410011, P.R. China
| | - Le Zhang
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan, 410008, P.R. China.
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan, 410008, P.R. China.
- Multi-Modal Monitoring Technology for Severe Cerebrovascular Disease of Human Engineering Research Center, Xiangya Hospital, Central South University, Changsha, P.R. China.
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25
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Lin D, Liu X, Li Q, Qin J, Xiong Z, Wu X. Association between gut microbiome and intracerebral hemorrhage based on genome-wide association study data. ZHONG NAN DA XUE XUE BAO. YI XUE BAN = JOURNAL OF CENTRAL SOUTH UNIVERSITY. MEDICAL SCIENCES 2023; 48:1176-1184. [PMID: 37875357 PMCID: PMC10930854 DOI: 10.11817/j.issn.1672-7347.2023.230107] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Received: 03/15/2023] [Indexed: 10/26/2023]
Abstract
OBJECTIVES Intracerebral hemorrhage (ICH) has the highest mortality and disability rates among various subtypes of stroke. Previous studies have shown that the gut microbiome (GM) is closely related to the risk factors and pathological basis of ICH. This study aims to explore the causal effect of GM on ICH and the potential mechanisms. METHODS Genome wide association study (GWAS) data on GM and ICH were obtained from Microbiome Genome and International Stroke Genetics Consortium. Based on the GWAS data, we first performed Mendelian randomization (MR) analysis to evaluate the causal association between GM and ICH. Then, a conditional false discovery rate (cFDR) method was conducted to identify the pleiotropic variants. RESULTS MR analysis showed that Pasteurellales, Pasteurellaceae, and Haemophilus were negatively correlated with the risk of ICH, whileVerrucomicrobiae, Verrucomicrobiales, Verrucomicrobiaceae, Akkermansia, Holdemanella, and LachnospiraceaeUCG010 were positively correlated with ICH. By applying the cFDR method, 3 pleiotropic loci (rs331083, rs4315115, and rs12553325) were found to be associated with both GM and ICH. CONCLUSIONS There is a causal association and pleiotropic variants between GM and ICH.
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Affiliation(s)
- Dihui Lin
- Department of Public Health and Medical Technology, College of Medicine, Jishou University, Jishou Hunan 416000.
| | - Xinpeng Liu
- Department of Public Health and Medical Technology, College of Medicine, Jishou University, Jishou Hunan 416000
| | - Qi Li
- Xiangxi Tujia and Miao Autonomous Prefecture Center for Disease Prevention and Control, Jishou Hunan 416000
| | - Jiabi Qin
- Department of Epidemic and Health Statistics, Xiangya School of Public Health, Central South University, Changsha 410006, China
| | - Zhendong Xiong
- Department of Public Health and Medical Technology, College of Medicine, Jishou University, Jishou Hunan 416000
| | - Xinrui Wu
- Department of Public Health and Medical Technology, College of Medicine, Jishou University, Jishou Hunan 416000.
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26
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Wang Y, Jia Y, Xu Q, Yang P, Sun L, Liu Y, Chang X, He Y, Shi M, Guo D, Zhang Y, Zhu Z. Association Between Prekallikrein and Stroke: A Mendelian Randomization Study. J Am Heart Assoc 2023; 12:e030525. [PMID: 37581399 PMCID: PMC10492928 DOI: 10.1161/jaha.123.030525] [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: 04/10/2023] [Accepted: 07/18/2023] [Indexed: 08/16/2023]
Abstract
Background High plasma prekallikrein was reported to be associated with increased risks of stroke, but the causality for these associations remains unclear. We aimed to investigate the associations of genetically predicted plasma prekallikrein concentrations with all-cause stroke, ischemic stroke, 3 ischemic stroke subtypes, and intracerebral hemorrhage (ICH) using a 2-sample Mendelian randomization approach. Methods and Results Seven independent prekallikrein-related single-nucleotide polymorphisms were identified as genetic instruments for prekallikrein based on a genome-wide association study with 1000 European individuals. The summary statistics for all-cause stroke, ischemic stroke, and ischemic stroke subtypes were obtained from the Multiancestry Genome-wide Association Study of Stroke Consortium with 40 585 cases and 406 111 controls of European ancestry. The summary statistics for ICH were obtained from the ISGC (International Stroke Genetics Consortium) with 1545 ICH cases and 1481 controls of European ancestry. In the main analysis, the inverse-variance weighted method was applied to estimate the associations of plasma prekallikrein concentrations with all-cause stroke, ischemic stroke, ischemic stroke subtypes, and ICH. Genetically predicted high plasma prekallikrein levels were significantly associated with elevated risks of all-cause stroke (odds ratio [OR] per SD increase, 1.04 [95% CI, 1.02-1.06]; P=5.44×10-5), ischemic stroke (OR per SD increase, 1.05 [95% CI, 1.03-1.07]; P=1.42×10-5), cardioembolic stroke (OR per SD increase, 1.08 [95% CI, 1.03-1.12]; P=3.75×10-4), and small vessel stroke (OR per SD increase, 1.11 [95% CI, 1.06-1.17]; P=3.02×10-5). However, no significant associations were observed for genetically predicted prekallikrein concentrations with large artery stroke and ICH. Conclusions This Mendelian randomization study found that genetically predicted high plasma prekallikrein concentrations were associated with increased risks of all-cause stroke, ischemic stroke, cardioembolic stroke, and small vessel stroke, indicating that prekallikrein might have a critical role in the development of stroke.
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Affiliation(s)
- Yinan Wang
- Department of Epidemiology, School of Public Health and Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric DiseasesSuzhou Medical College of Soochow UniversitySuzhouChina
| | - Yiming Jia
- Department of Epidemiology, School of Public Health and Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric DiseasesSuzhou Medical College of Soochow UniversitySuzhouChina
| | - Qingyun Xu
- Department of Epidemiology, School of Public Health and Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric DiseasesSuzhou Medical College of Soochow UniversitySuzhouChina
| | - Pinni Yang
- Department of Epidemiology, School of Public Health and Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric DiseasesSuzhou Medical College of Soochow UniversitySuzhouChina
| | - Lulu Sun
- Department of Epidemiology, School of Public Health and Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric DiseasesSuzhou Medical College of Soochow UniversitySuzhouChina
| | - Yi Liu
- Department of Epidemiology, School of Public Health and Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric DiseasesSuzhou Medical College of Soochow UniversitySuzhouChina
| | - Xinyue Chang
- Department of Epidemiology, School of Public Health and Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric DiseasesSuzhou Medical College of Soochow UniversitySuzhouChina
| | - Yu He
- Department of Epidemiology, School of Public Health and Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric DiseasesSuzhou Medical College of Soochow UniversitySuzhouChina
| | - Mengyao Shi
- Department of Epidemiology, School of Public Health and Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric DiseasesSuzhou Medical College of Soochow UniversitySuzhouChina
| | - Daoxia Guo
- School of NursingSuzhou Medical College of Soochow UniversitySuzhouChina
| | - Yonghong Zhang
- Department of Epidemiology, School of Public Health and Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric DiseasesSuzhou Medical College of Soochow UniversitySuzhouChina
| | - Zhengbao Zhu
- Department of Epidemiology, School of Public Health and Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric DiseasesSuzhou Medical College of Soochow UniversitySuzhouChina
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27
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Surakka I, Wu KH, Hornsby W, Wolford BN, Shen F, Zhou W, Huffman JE, Pandit A, Hu Y, Brumpton B, Skogholt AH, Gabrielsen ME, Walters RG, Hveem K, Kooperberg C, Zöllner S, Wilson PW, Sutton NR, Daly MJ, Neale BM, Willer CJ. Multi-ancestry meta-analysis identifies 5 novel loci for ischemic stroke and reveals heterogeneity of effects between sexes and ancestries. CELL GENOMICS 2023; 3:100345. [PMID: 37601974 PMCID: PMC10435368 DOI: 10.1016/j.xgen.2023.100345] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/28/2022] [Revised: 10/18/2022] [Accepted: 05/26/2023] [Indexed: 08/22/2023]
Abstract
Stroke is the second leading cause of death and disability worldwide. Stroke prevalence varies by sex and ancestry, possibly due to genetic heterogeneity between subgroups. We performed a genome-wide meta-analysis of 16 biobanks across multiple ancestries to study the genetics of ischemic stroke (60,176 cases, 1,310,725 controls) as part of the Global Biobank Meta-analysis Initiative (GBMI) and further combined the results with previously published MegaStroke. Five novel loci for ischemic stroke (LAMC1, CALCRL, PLSCR1, CDKN1A, and SWAP70) were identified after replication in four additional datasets. One previously reported locus showed significant ancestry heterogeneity (ABO), and one showed significant sex heterogeneity (ALDH2). The ALDH2 association was male specific (males p = 1.67e-24, females p = 0.126) and was additionally observed only in the East Asian ancestry (male) samples. These findings emphasize the need for more diverse datasets with large sample sizes to further understand the genetic predisposition of stroke in different ancestry and sex groups.
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Affiliation(s)
- Ida Surakka
- Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA
| | - Kuan-Han Wu
- Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, USA
| | - Whitney Hornsby
- Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA
| | - Brooke N. Wolford
- Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, USA
- Center for Statistical Genetics, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Fred Shen
- Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA
| | - Wei Zhou
- Analytic and Translational Genetics Unit, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Jennifer E. Huffman
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, MA, USA
| | - Anita Pandit
- Center for Statistical Genetics, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Yao Hu
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Ben Brumpton
- K.G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, NTNU, Norwegian University of Science and Technology, Trondheim, Norway
- Clinic of Medicine, St. Olav’s Hospital, Trondheim University Hospital, Trondheim, Norway
- HUNT Research Centre, Department of Public Health and Nursing, Norwegian University of Science and Technology, Levanger, Norway
| | - Anne Heidi Skogholt
- K.G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, NTNU, Norwegian University of Science and Technology, Trondheim, Norway
| | - Maiken E. Gabrielsen
- K.G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, NTNU, Norwegian University of Science and Technology, Trondheim, Norway
| | - Robin G. Walters
- Medical Research Council Population Health Research Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
- Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - The TOPMed Stroke Working Group
- Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA
- Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, USA
- Center for Statistical Genetics, University of Michigan School of Public Health, Ann Arbor, MI, USA
- Analytic and Translational Genetics Unit, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, MA, USA
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
- K.G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, NTNU, Norwegian University of Science and Technology, Trondheim, Norway
- Clinic of Medicine, St. Olav’s Hospital, Trondheim University Hospital, Trondheim, Norway
- HUNT Research Centre, Department of Public Health and Nursing, Norwegian University of Science and Technology, Levanger, Norway
- Medical Research Council Population Health Research Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
- Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
- Atlanta VA Health Care System, Decatur, GA, USA
- Department of Epidemiology, Emory University Rollins School of Public Health, Atlanta, GA, USA
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland
- Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Department of Human Genetics, University of Michigan, Ann Arbor, MI, USA
| | - Million Veteran Program (MVP)
- Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA
- Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, USA
- Center for Statistical Genetics, University of Michigan School of Public Health, Ann Arbor, MI, USA
- Analytic and Translational Genetics Unit, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, MA, USA
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
- K.G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, NTNU, Norwegian University of Science and Technology, Trondheim, Norway
- Clinic of Medicine, St. Olav’s Hospital, Trondheim University Hospital, Trondheim, Norway
- HUNT Research Centre, Department of Public Health and Nursing, Norwegian University of Science and Technology, Levanger, Norway
- Medical Research Council Population Health Research Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
- Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
- Atlanta VA Health Care System, Decatur, GA, USA
- Department of Epidemiology, Emory University Rollins School of Public Health, Atlanta, GA, USA
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland
- Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Department of Human Genetics, University of Michigan, Ann Arbor, MI, USA
| | - Kristian Hveem
- K.G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, NTNU, Norwegian University of Science and Technology, Trondheim, Norway
- HUNT Research Centre, Department of Public Health and Nursing, Norwegian University of Science and Technology, Levanger, Norway
| | - Charles Kooperberg
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Sebastian Zöllner
- Center for Statistical Genetics, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Peter W.F. Wilson
- Atlanta VA Health Care System, Decatur, GA, USA
- Department of Epidemiology, Emory University Rollins School of Public Health, Atlanta, GA, USA
| | - Nadia R. Sutton
- Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA
| | - Mark J. Daly
- Analytic and Translational Genetics Unit, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland
- Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA, USA
| | - Benjamin M. Neale
- Analytic and Translational Genetics Unit, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA, USA
| | - Cristen J. Willer
- Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA
- Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, USA
- Clinic of Medicine, St. Olav’s Hospital, Trondheim University Hospital, Trondheim, Norway
- Department of Human Genetics, University of Michigan, Ann Arbor, MI, USA
| | - on behalf of the Global Biobank Meta-analysis Initiative (GBMI)
- Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA
- Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, USA
- Center for Statistical Genetics, University of Michigan School of Public Health, Ann Arbor, MI, USA
- Analytic and Translational Genetics Unit, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, MA, USA
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
- K.G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, NTNU, Norwegian University of Science and Technology, Trondheim, Norway
- Clinic of Medicine, St. Olav’s Hospital, Trondheim University Hospital, Trondheim, Norway
- HUNT Research Centre, Department of Public Health and Nursing, Norwegian University of Science and Technology, Levanger, Norway
- Medical Research Council Population Health Research Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
- Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
- Atlanta VA Health Care System, Decatur, GA, USA
- Department of Epidemiology, Emory University Rollins School of Public Health, Atlanta, GA, USA
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland
- Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Department of Human Genetics, University of Michigan, Ann Arbor, MI, USA
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28
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Li J, Xia K, Wang Z, Liu Y, Tong Y, Wang Y, Zhou Y, Zhang L, Tang L, Fan D, Yang Q. Essential nutrients and cerebral small vessel diseases: a two-sample Mendelian randomization study. Front Nutr 2023; 10:1172587. [PMID: 37426181 PMCID: PMC10325681 DOI: 10.3389/fnut.2023.1172587] [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: 02/23/2023] [Accepted: 06/05/2023] [Indexed: 07/11/2023] Open
Abstract
Background Previous studies have suggested a potential association between nutrients and cerebral small vessel disease (CSVD), but this association has not been fully addressed. Object We intended to clarify the causal associations between four categories of essential nutrients (amino acids, polyunsaturated fatty acids, minerals and vitamins) and two acute manifestations of CSVD (intracerebral hemorrhage and small vessel stroke) using two-sample Mendelian randomization (MR) analysis. Method We obtained European-based large-scale genome-wide association studies (GWASs) related to CSVD (6,255 cases and 233,058 controls) and nutrient concentrations. Causality evaluation mainly included the results of the inverse variance-weighted (IVW) method. The simple median method, the weighted median method and the MR-Egger method were adopted for sensitivity analyses. Results For ICH or SVS, increased levels of phenylalanine (OR = 1.188, p < 0.001) and dihomo-gamma-linolenic acid (DGLA) (OR = 1.153, p = 0.001) showed risk effects, while docosapentaenoic acid (DPA) (OR = 0.501, p < 0.001), zinc (OR = 0.919, p < 0.001), and arachidonic acid (OR = 0.966, p = 0.007) showed protective effects. For lobar hemorrhage or SVS, AA (OR = 0.978, p < 0.001), zinc (OR = 0.918, p < 0.001), and retinol (OR = 0.753, p < 0.001) showed risk effects; DPA (OR = 0.682, p = 0.022), gamma-linolenic acid (OR = 0.120, p = 0.033) and 25(OH)D (OR = 0.874, p = 0.040) showed protective effects. For nonlobar hemorrhage or SVS, DGLA (OR = 1.088, p < 0.001) and phenylalanine (OR = 1.175, p = 0.001) showed risk effects. Conclusion Our study analyzed the effect of nutrients on CSVD risk from a genetic perspective, with implications for CSVD prevention through nutrient supplementation.
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Affiliation(s)
- Jiayi Li
- Department of Neurology, Peking University Third Hospital, Beijing, China
- Peking University Health Science Center, Beijing, China
| | - Kailin Xia
- Department of Neurology, Peking University Third Hospital, Beijing, China
| | - Zhengrui Wang
- Department of Neurology, Peking University Third Hospital, Beijing, China
- Peking University Health Science Center, Beijing, China
| | - Yanru Liu
- Department of Neurology, Peking University Third Hospital, Beijing, China
- Peking University Health Science Center, Beijing, China
| | - Yicheng Tong
- Department of Neurology, Peking University Third Hospital, Beijing, China
- Peking University Health Science Center, Beijing, China
| | - Yuwei Wang
- Department of Neurology, Peking University Third Hospital, Beijing, China
- Peking University Health Science Center, Beijing, China
| | - Yumou Zhou
- Department of Neurology, Peking University Third Hospital, Beijing, China
- Peking University Health Science Center, Beijing, China
| | - Linjing Zhang
- Department of Neurology, Peking University Third Hospital, Beijing, China
- Beijing Key Laboratory of Biomarker and Translational Research in Neurodegenerative Diseases, Beijing, China
- Key Laboratory for Neuroscience, National Health Commission/Ministry of Education, Peking University, Beijing, China
| | - Lu Tang
- Department of Neurology, Peking University Third Hospital, Beijing, China
- Beijing Key Laboratory of Biomarker and Translational Research in Neurodegenerative Diseases, Beijing, China
- Key Laboratory for Neuroscience, National Health Commission/Ministry of Education, Peking University, Beijing, China
| | - Dongsheng Fan
- Department of Neurology, Peking University Third Hospital, Beijing, China
- Beijing Key Laboratory of Biomarker and Translational Research in Neurodegenerative Diseases, Beijing, China
- Key Laboratory for Neuroscience, National Health Commission/Ministry of Education, Peking University, Beijing, China
| | - Qiong Yang
- Department of Neurology, Peking University Third Hospital, Beijing, China
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Renedo D, Acosta JN, Koo AB, Rivier C, Sujijantarat N, de Havenon A, Sharma R, Gill TM, Sheth KN, Falcone GJ, Matouk CC. Higher Hospital Frailty Risk Score Is Associated With Increased Risk of Stroke: Observational and Genetic Analyses. Stroke 2023; 54:1538-1547. [PMID: 37216451 PMCID: PMC10212531 DOI: 10.1161/strokeaha.122.041891] [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: 11/07/2022] [Accepted: 04/14/2023] [Indexed: 05/24/2023]
Abstract
BACKGROUND Frailty is a prevalent state associated with several aging-related traits and conditions. The relationship between frailty and stroke remains understudied. Here we aim to investigate whether the hospital frailty risk score (HFRS) is associated with the risk of stroke and determine whether a significant association between genetically determined frailty and stroke exists. DESIGN Observational study using data from All of Us research program and Mendelian Randomization analyses. METHODS Participants from All of Us with available electronic health records were selected for analysis. All of Us began national enrollment in 2018 and is expected to continue for at least 10 years. All of Us is recruiting members of groups that have traditionally been underrepresented in research. All participants provided informed consent at the time of enrollment, and the date of consent was recorded for each participant. Incident stroke was defined as stroke event happening on or after the date of consent to the All of Us study HFRS was measured with a 3-year look-back period before the date of consent for stroke risk. The HFRS was stratified into 4 categories: no-frailty (HFRS=0), low (HFRS ≥1 and <5), intermediate (≥5 and <15), and high (HFRS ≥15). Last, we implemented Mendelian Randomization analyses to evaluate whether genetically determined frailty is associated with stroke risk. RESULTS Two hundred fifty-three thousand two hundred twenty-six participants were at risk of stroke. In multivariable analyses, frailty status was significantly associated with risk of any (ischemic or hemorrhagic) stroke following a dose-response way: not-frail versus low HFRS (HR, 4.9 [CI, 3.5-6.8]; P<0.001), not-frail versus intermediate HFRS (HR, 11.4 [CI, 8.3-15.7]; P<0.001) and not-frail versus high HFRS (HR, 42.8 [CI, 31.2-58.6]; P<0.001). We found similar associations when evaluating ischemic and hemorrhagic stroke separately (P value for all comparisons <0.05). Mendelian Randomization confirmed this association by indicating that genetically determined frailty was independently associated with risk of any stroke (OR, 1.45 [95% CI, 1.15-1.84]; P=0.002). CONCLUSIONS Frailty, based on the HFRS was associated with higher risk of any stroke. Mendelian Randomization analyses confirmed this association providing evidence to support a causal relationship.
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Affiliation(s)
- Daniela Renedo
- Department of Neurosurgery, Yale School of Medicine, New Haven, CT, USA
- Department of Neurology, Yale School of Medicine, New Haven, CT, USA
| | - Julián N. Acosta
- Department of Neurology, Yale School of Medicine, New Haven, CT, USA
| | - Andrew B. Koo
- Department of Neurosurgery, Yale School of Medicine, New Haven, CT, USA
| | - Cyprien Rivier
- Department of Neurology, Yale School of Medicine, New Haven, CT, USA
| | | | - Adam de Havenon
- Department of Neurology, Yale School of Medicine, New Haven, CT, USA
| | - Richa Sharma
- Department of Neurology, Yale School of Medicine, New Haven, CT, USA
| | - Thomas M. Gill
- Department of Internal Medicine, Division of Geriatric Medicine, School of Medicine, Yale University, New Haven, CT, USA
| | - Kevin N. Sheth
- Department of Neurology, Yale School of Medicine, New Haven, CT, USA
| | - Guido J. Falcone
- Department of Neurology, Yale School of Medicine, New Haven, CT, USA
| | - Charles C. Matouk
- Department of Neurosurgery, Yale School of Medicine, New Haven, CT, USA
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Lin L, Lin J, Qiu J, Liufu N, Lin S, Wei F, Liu Q, Zeng J, Zhang M, Cao M. Genetic liability to multi-site chronic pain increases the risk of cardiovascular disease. Br J Anaesth 2023:S0007-0912(23)00195-2. [PMID: 37225534 DOI: 10.1016/j.bja.2023.04.020] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2022] [Revised: 04/04/2023] [Accepted: 04/07/2023] [Indexed: 05/26/2023] Open
Abstract
BACKGROUND Observational studies have shown associations between multi-site chronic pain (MCP) and cardiovascular disease. However, it remains unclear whether these associations are causal. Therefore, this study aimed to assess the causal associations between MCP and cardiovascular disease and identify possible mediators between them. METHODS A two-sample Mendelian randomisation analysis was applied in this study. The summary data for MCP were obtained from a genome-wide association study that included 387 649 individuals from the UK Biobank, whereas summary-level data for cardiovascular disease and its subtypes were obtained from relevant genome-wide association studies. Finally, summary-level data for common cardiovascular risk factors and inflammatory biomarkers were leveraged to identify possible mediators. RESULTS Genetic liability to multi-site chronic pain is associated with higher risks for coronary artery disease (CAD), myocardial infarction (MI), heart failure (HF), and stroke, with a combined odds ratio (OR) of 1.537 (per site increment in MCP; 95% confidence interval [CI]: 1.271-1.858; P=0.0001) for CAD, 1.604 (95% CI: 1.277-2.014; P=0.0005) for MI, 1.722 (95% CI: 1.423-2.083; P<0.00001) for HF, and 1.332 (95% CI: 1.093-1.623; P=0.00001) for stroke. Genetic liability to MCP was found to be associated with mental disorders, smoking initiation, physical activity, BMI, and lipid metabolites. Multivariable Mendelian randomisation suggested a mediating role for mental disorders, smoking initiation, physical activity, and BMI in the relationship between multi-site chronic pain and cardiovascular disease. CONCLUSIONS Our findings provide new insights into the role of multi-site chronic pain in cardiovascular disease. Additionally, we identified several modifiable risk factors for reducing cardiovascular disease.
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Affiliation(s)
- Liling Lin
- Department of Anesthesiology, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, China
| | - Jianwei Lin
- Big Data Laboratory, Joint Shantou International Eye Center of Shantou University and the Chinese University of Hong Kong, Shantou, Guangdong, China
| | - Junxiong Qiu
- Department of Cardiovascular Surgery, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, China
| | - Ning Liufu
- Department of Anesthesiology, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, China
| | - Shishi Lin
- Department of Anesthesiology, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, China
| | - Feng Wei
- Department of Cardiovascular Surgery, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, China
| | - Qingping Liu
- Joint Shantou International Eye Centre of Shantou University and the Chinese University of Hong Kong, Shantou, Guangdong, China
| | - Jingxian Zeng
- Department of Anesthesiology, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, China.
| | - Mingzhi Zhang
- Joint Shantou International Eye Centre of Shantou University and the Chinese University of Hong Kong, Shantou, Guangdong, China.
| | - Minghui Cao
- Department of Anesthesiology, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, China.
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Guo X, Tang P, Zhang X, Li R. Causal associations of circulating Helicobacter pylori antibodies with stroke and the mediating role of inflammation. Inflamm Res 2023:10.1007/s00011-023-01740-0. [PMID: 37184658 DOI: 10.1007/s00011-023-01740-0] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2023] [Revised: 04/12/2023] [Accepted: 05/02/2023] [Indexed: 05/16/2023] Open
Abstract
BACKGROUND Observational studies have shown that Helicobacter pylori (H. pylori) infection and H. pylori antibodies are associated with an increased risk of stroke. However, which and how H. pylori antibodies serve as the causal determinant of the development of stroke remains largely unknown. METHODS Genome-wide association studies (GWAS) on seven different antibodies of H. pylori-specific proteins, stroke, and stroke subtypes were included in this study. Mendelian randomization (MR) and multivariable MR (MVMR) analysis were performed to assess the causal associations between H. pylori antibodies and the development of stroke and to determine the potential mechanisms underlying the associations. RESULTS Genetically predicted serum H. pylori vacuolating cytotoxin-A (VacA) antibody level was associated with an increased risk of all-cause stroke (odds ratio [OR] = 1.04, 95% CI 1.01-1.07, P = 0.017) and cardioembolic stroke (CES, OR = 1.11, 95% CI 1.04-1.18, P = 0.001). The results of multivariable MR (MVMR) showed that C-reactive protein (CRP), but not monocyte chemoattractant protein-1 and peptic ulcer, mediated the causal effects of VacA-positive H. pylori infection on all-cause stroke and CES. No strong causal associations were found between other H. pylori antibodies and stroke and its subtypes. CONCLUSIONS Our results demonstrate that H. pylori VacA antibody is the only causal determinant associated with the risk of stroke in the spectrum of H. pylori-related antibodies, in which CRP may mediate the association. This study suggests that inhibition of the CRP signaling pathway may reduce the risk of stroke in patients with VacA-positive H. pylori infection.
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Affiliation(s)
- Xingzhi Guo
- Department of Geriatric Neurology, Shaanxi Provincial People's Hospital, No. 256, Youyi West Road, Xi'an, 710068, Shaanxi, People's Republic of China
- Shaanxi Provincial Clinical Research Center for Geriatric Medicine, Xi'an, 710068, Shaanxi, People's Republic of China
- Institute of Medical Research, Northwestern Polytechnical University, Xi'an, 710072, Shaanxi, People's Republic of China
| | - Peng Tang
- Department of Geriatric Neurology, Shaanxi Provincial People's Hospital, No. 256, Youyi West Road, Xi'an, 710068, Shaanxi, People's Republic of China
- Shaanxi Provincial Clinical Research Center for Geriatric Medicine, Xi'an, 710068, Shaanxi, People's Republic of China
| | - Xin Zhang
- Department of Geriatric Neurology, Shaanxi Provincial People's Hospital, No. 256, Youyi West Road, Xi'an, 710068, Shaanxi, People's Republic of China
- Shaanxi Provincial Clinical Research Center for Geriatric Medicine, Xi'an, 710068, Shaanxi, People's Republic of China
| | - Rui Li
- Department of Geriatric Neurology, Shaanxi Provincial People's Hospital, No. 256, Youyi West Road, Xi'an, 710068, Shaanxi, People's Republic of China.
- Shaanxi Provincial Clinical Research Center for Geriatric Medicine, Xi'an, 710068, Shaanxi, People's Republic of China.
- Institute of Medical Research, Northwestern Polytechnical University, Xi'an, 710072, Shaanxi, People's Republic of China.
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Huang YW, Huang HL, Li ZP, Yin XS. Research advances in imaging markers for predicting hematoma expansion in intracerebral hemorrhage: a narrative review. Front Neurol 2023; 14:1176390. [PMID: 37181553 PMCID: PMC10166819 DOI: 10.3389/fneur.2023.1176390] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2023] [Accepted: 04/03/2023] [Indexed: 05/16/2023] Open
Abstract
Introduction Stroke is a major global health concern and is ranked as the second leading cause of death worldwide, with the third highest incidence of disability. Intracerebral hemorrhage (ICH) is a devastating form of stroke that is responsible for a significant proportion of stroke-related morbidity and mortality worldwide. Hematoma expansion (HE), which occurs in up to one-third of ICH patients, is a strong predictor of poor prognosis and can be potentially preventable if high-risk patients are identified early. In this review, we provide a comprehensive summary of previous research in this area and highlight the potential use of imaging markers for future research studies. Recent advances Imaging markers have been developed in recent years to aid in the early detection of HE and guide clinical decision-making. These markers have been found to be effective in predicting HE in ICH patients and include specific manifestations on Computed Tomography (CT) and CT Angiography (CTA), such as the spot sign, leakage sign, spot-tail sign, island sign, satellite sign, iodine sign, blend sign, swirl sign, black hole sign, and hypodensities. The use of imaging markers holds great promise for improving the management and outcomes of ICH patients. Conclusion The management of ICH presents a significant challenge, and identifying high-risk patients for HE is crucial to improving outcomes. The use of imaging markers for HE prediction can aid in the rapid identification of such patients and may serve as potential targets for anti-HE therapies in the acute phase of ICH. Therefore, further research is needed to establish the reliability and validity of these markers in identifying high-risk patients and guiding appropriate treatment decisions.
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Affiliation(s)
- Yong-Wei Huang
- Department of Neurosurgery, Mianyang Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Mianyang, Sichuan, China
| | - Hai-Lin Huang
- Department of Neurosurgery, Mianyang Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Mianyang, Sichuan, China
| | - Zong-Ping Li
- Department of Neurosurgery, Mianyang Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Mianyang, Sichuan, China
| | - Xiao-Shuang Yin
- Department of Immunology, Mianyang Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Mianyang, Sichuan, China
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Parodi L, Comeau ME, Georgakis MK, Mayerhofer E, Chung J, Falcone GJ, Malik R, Demel SL, Worrall BB, Koch S, Testai FD, Kittner SJ, McCauley JL, Hall CE, Mayson DJ, Elkind MS, James ML, Woo D, Rosand J, Langefeld CD, Anderson CD. Deep resequencing of the 1q22 locus in non-lobar intracerebral hemorrhage. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.04.18.23288754. [PMID: 37162822 PMCID: PMC10168419 DOI: 10.1101/2023.04.18.23288754] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/11/2023]
Abstract
Objective Genome-wide association studies have identified 1q22 as a susceptibility locus for cerebral small vessel diseases (CSVDs), including non-lobar intracerebral hemorrhage (ICH) and lacunar stroke. In the present study we performed targeted high-depth sequencing of 1q22 in ICH cases and controls to further characterize this locus and prioritize potential causal mechanisms, which remain unknown. Methods 95,000 base pairs spanning 1q22 , including SEMA4A, SLC25A44 and PMF1 / PMF1-BGLAP were sequenced in 1,055 spontaneous ICH cases (534 lobar and 521 non-lobar) and 1,078 controls. Firth regression and RIFT analysis were used to analyze common and rare variants, respectively. Chromatin interaction analyses were performed using Hi-C, ChIP-Seq and ChIA-PET databases. Multivariable Mendelian randomization (MVMR) assessed whether alterations in gene-specific expression relative to regionally co-expressed genes at 1q22 could be causally related to ICH risk. Results Common and rare variant analyses prioritized variants in SEMA4A 5'-UTR and PMF1 intronic regions, overlapping with active promoter and enhancer regions based on ENCODE annotation. Hi-C data analysis determined that 1q22 is spatially organized in a single chromatin loop and that the genes therein belong to the same Topologically Associating Domain. ChIP-Seq and ChIA-PET data analysis highlighted the presence of long-range interactions between the SEMA4A -promoter and PMF1 -enhancer regions prioritized by association testing. MVMR analyses demonstrated that PMF1 overexpression could be causally related to non-lobar ICH risk. Interpretation Altered promoter-enhancer interactions leading to PMF1 overexpression, potentially dysregulating polyamine catabolism, could explain demonstrated associations with non-lobar ICH risk at 1q22 , offering a potential new target for prevention of ICH and CSVD.
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Wu BS, Ge YJ, Zhang W, Chen SD, Xiang ST, Zhang YR, Ou YN, Jiang YC, Tan L, Cheng W, Suckling J, Feng JF, Yu JT, Mao Y. Genome-wide association study of cerebellar white matter microstructure and genetic overlap with common brain disorders. Neuroimage 2023; 269:119928. [PMID: 36740028 DOI: 10.1016/j.neuroimage.2023.119928] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2022] [Revised: 01/12/2023] [Accepted: 02/02/2023] [Indexed: 02/05/2023] Open
Abstract
BACKGROUND The cerebellum is recognized as being involved in neurocognitive and motor functions with communication with extra-cerebellar regions relying on the white matter integrity of the cerebellar peduncles. However, the genetic determinants of cerebellar white matter integrity remain largely unknown. METHODS We conducted a genome-wide association analysis of cerebellar white matter microstructure using diffusion tensor imaging data from 25,415 individuals from UK Biobank. The integrity of cerebellar white matter microstructure was measured as fractional anisotropy (FA) and mean diffusivity (MD). Identification of independent genomic loci, functional annotation, and tissue and cell-type analysis were conducted with FUMA. The linkage disequilibrium score regression (LDSC) was used to calculate genetic correlations between cerebellar white matter microstructure and regional brain volumes and brain-related traits. Furthermore, the conditional/conjunctional false discovery rate (condFDR/conjFDR) framework was employed to identify the shared genetic basis between cerebellar white matter microstructure and common brain disorders. RESULTS We identified 11 genetic loci (P < 8.3 × 10-9) and 86 genes associated with cerebellar white matter microstructure. Further functional enrichment analysis implicated the involvement of GABAergic neurons and cholinergic pathways. Significant polygenetic overlap between cerebellar white matter tracts and their anatomically connected or adjacent brain regions was detected. In addition, we report the overall genetic correlation and specific loci shared between cerebellar white matter microstructural integrity and brain-related traits, including movement, cognitive, psychiatric, and cerebrovascular categories. CONCLUSIONS Collectively, this study represents a step forward in understanding the genetics of cerebellar white matter microstructure and its shared genetic etiology with common brain disorders.
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Affiliation(s)
- Bang-Sheng Wu
- Department of Neurology and National Center for Neurological Disorders, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, Shanghai, China
| | - Yi-Jun Ge
- Department of Neurology, Qingdao Municipal Hospital, Qingdao University, Qingdao, China
| | - Wei Zhang
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China
| | - Shi-Dong Chen
- Department of Neurology and National Center for Neurological Disorders, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, Shanghai, China
| | - Shi-Tong Xiang
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China
| | - Ya-Ru Zhang
- Department of Neurology and National Center for Neurological Disorders, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, Shanghai, China
| | - Ya-Nan Ou
- Department of Neurology, Qingdao Municipal Hospital, Qingdao University, Qingdao, China
| | - Yu-Chao Jiang
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China
| | - Lan Tan
- Department of Neurology, Qingdao Municipal Hospital, Qingdao University, Qingdao, China
| | - Wei Cheng
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China; Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence, Fudan University, Ministry of Education, Shanghai, China; Fudan ISTBI-ZJNU Algorithm Centre for Brain-Inspired Intelligence, Zhejiang Normal University, Jinhua, China; Department of Neurology, Huashan Hospital, Fudan University, Shanghai, China
| | - John Suckling
- Department of Psychiatry, Brain Mapping Unit, University of Cambridge, Cambridge, CB2 0SZ, UK
| | - Jian-Feng Feng
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China; Department of Computer Science, University of Warwick, Coventry CV4 7AL, UK
| | - Jin-Tai Yu
- Department of Neurology and National Center for Neurological Disorders, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, Shanghai, China.
| | - Ying Mao
- Department of Neurosurgery and National Center for Neurological Disorders, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, Shanghai, China.
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Roh DJ, Boehme A, Mamoon R, Hooper D, Cottarelli A, Ji R, Mao E, Kumar A, Carvalho Poyraz F, Demel SL, Spektor V, Carmona J, Hod EA, Ironside N, Gutierrez J, Guo J, Konofagou E, Elkind MSV, Woo D. Relationships of Hemoglobin Concentration, Ischemic Lesions, and Clinical Outcomes in Patients With Intracerebral Hemorrhage. Stroke 2023; 54:1021-1029. [PMID: 36779340 PMCID: PMC10050127 DOI: 10.1161/strokeaha.122.041410] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2022] [Accepted: 01/12/2023] [Indexed: 02/14/2023]
Abstract
BACKGROUND Hemoglobin concentration and diffusion-weighted imaging (DWI) ischemic lesions are separately known to be associated with poor intracerebral hemorrhage (ICH) outcomes. While hemoglobin concentrations have known relationships with ischemic stroke, it is unclear whether hemoglobin concentration is associated with DWI ischemic lesions after ICH. We sought to investigate the hypothesis that hemoglobin concentrations would associate with DWI lesions after ICH and further investigated their relationships with clinical outcomes. METHODS Supratentorial ICH patients enrolled between 2010 and 2016 to a prospective, multicenter, observational cohort study (ERICH study [Ethnic/Racial Variations of Intracerebral Hemorrhage]) were assessed. Patients from this study with baseline, admission hemoglobin, and hospitalization magnetic resonance imaging were analyzed. Hemoglobin was examined as the primary exposure variable defined as a continuous variable (g/dL). Magnetic resonance imaging DWI ischemic lesion presence was assessed as the primary radiographic outcome. Primary analyses assessed relationships of hemoglobin with DWI lesions. Secondary analyses assessed relationships of DWI lesions with poor 3-month outcomes (modified Rankin Scale score, 4-6). These analyses were performed using separate multivariable logistic regression models adjusting for relevant covariates. RESULTS Of 917 patients with ICH analyzed, mean baseline hemoglobin was 13.8 g/dL (±1.9), 60% were deep ICH, and DWI lesions were identified in 27% of the cohort. In our primary analyses, increased hemoglobin, defined as a continuous variable, was associated with DWI lesions (adjusted odds ratio, 1.21 per 1 g/dL change in hemoglobin [95% CI, 1.07-1.37]) after adjusting for sex, race, ICH severity, time to magnetic resonance imaging, and acute blood pressure change. In secondary analyses, DWI lesions were associated with poor 3-month outcomes (adjusted odds ratio, 1.83 [95% CI, 1.24-2.69]) after adjusting for similar covariates. CONCLUSIONS We identified novel relationships between higher baseline hemoglobin concentrations and DWI ischemic lesions in patients with ICH. Further studies are required to clarify the role of hemoglobin concentration on both cerebral small vessel disease pathophysiology and ICH outcomes.
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Affiliation(s)
- David J Roh
- Department of Neurology, Vagelos College of Physicians and Surgeons (D.J.R., A.B., E.M., A.K., F.C.P., J.C., J. Gutierrez, M.S.V.E.), Columbia University, New York, NY
| | - Amelia Boehme
- Department of Neurology, Vagelos College of Physicians and Surgeons (D.J.R., A.B., E.M., A.K., F.C.P., J.C., J. Gutierrez, M.S.V.E.), Columbia University, New York, NY
- Department of Epidemiology, Mailman School of Public Health (A.B., R.M., M.S.V.E.), Columbia University, New York, NY
| | - Rayan Mamoon
- Department of Epidemiology, Mailman School of Public Health (A.B., R.M., M.S.V.E.), Columbia University, New York, NY
| | - Destiny Hooper
- Department of Neurology, University of Cincinnati, OH (D.H., S.L.D., D.W.)
| | - Azzurra Cottarelli
- Department of Pathology and Cell Biology, Vagelos College of Physicians and Surgeons (A.C., E.A.H.), Columbia University, New York, NY
| | - Robin Ji
- Department of Biomedical Engineering (R.J., E.K.), Columbia University, New York, NY
| | - Eric Mao
- Department of Neurology, Vagelos College of Physicians and Surgeons (D.J.R., A.B., E.M., A.K., F.C.P., J.C., J. Gutierrez, M.S.V.E.), Columbia University, New York, NY
| | - Aditya Kumar
- Department of Neurology, Vagelos College of Physicians and Surgeons (D.J.R., A.B., E.M., A.K., F.C.P., J.C., J. Gutierrez, M.S.V.E.), Columbia University, New York, NY
| | - Fernanda Carvalho Poyraz
- Department of Neurology, Vagelos College of Physicians and Surgeons (D.J.R., A.B., E.M., A.K., F.C.P., J.C., J. Gutierrez, M.S.V.E.), Columbia University, New York, NY
| | - Stacie L Demel
- Department of Neurology, University of Cincinnati, OH (D.H., S.L.D., D.W.)
| | - Vadim Spektor
- Department of Radiology, Vagelos College of Physicians and Surgeons (V.S.), Columbia University, New York, NY
| | - Jerina Carmona
- Department of Neurology, Vagelos College of Physicians and Surgeons (D.J.R., A.B., E.M., A.K., F.C.P., J.C., J. Gutierrez, M.S.V.E.), Columbia University, New York, NY
| | - Eldad A Hod
- Department of Pathology and Cell Biology, Vagelos College of Physicians and Surgeons (A.C., E.A.H.), Columbia University, New York, NY
| | - Natasha Ironside
- Department of Neurological Surgery, University of Virginia, Charlottesville (N.I.)
| | - Jose Gutierrez
- Department of Neurology, Vagelos College of Physicians and Surgeons (D.J.R., A.B., E.M., A.K., F.C.P., J.C., J. Gutierrez, M.S.V.E.), Columbia University, New York, NY
| | - Jia Guo
- Department of Psychiatry (J. Guo), Columbia University, New York, NY
- Mortimer B. Zuckerman Mind Brain Behavior Institute (J. Guo), Columbia University, New York, NY
| | - Elisa Konofagou
- Department of Biomedical Engineering (R.J., E.K.), Columbia University, New York, NY
| | - Mitchell S V Elkind
- Department of Neurology, Vagelos College of Physicians and Surgeons (D.J.R., A.B., E.M., A.K., F.C.P., J.C., J. Gutierrez, M.S.V.E.), Columbia University, New York, NY
- Department of Epidemiology, Mailman School of Public Health (A.B., R.M., M.S.V.E.), Columbia University, New York, NY
| | - Daniel Woo
- Department of Neurology, University of Cincinnati, OH (D.H., S.L.D., D.W.)
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Myserlis EP, Georgakis MK, Demel SL, Sekar P, Chung J, Malik R, Hyacinth HI, Comeau ME, Falcone G, Langefeld CD, Rosand J, Woo D, Anderson CD. A Genomic Risk Score Identifies Individuals at High Risk for Intracerebral Hemorrhage. Stroke 2023; 54:973-982. [PMID: 36799223 PMCID: PMC10050100 DOI: 10.1161/strokeaha.122.041701] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2022] [Accepted: 01/11/2023] [Indexed: 02/18/2023]
Abstract
BACKGROUND Intracerebral hemorrhage (ICH) has an estimated heritability of 29%. We developed a genomic risk score for ICH and determined its predictive power in comparison to standard clinical risk factors. METHODS We combined genome-wide association data from individuals of European ancestry for ICH and related traits in a meta-genomic risk score ([metaGRS]; 2.6 million variants). We tested associations with ICH and its predictive performance in addition to clinical risk factors in a held-out validation dataset (842 cases and 796 controls). We tested associations with risk of incident ICH in the population-based UK Biobank cohort (486 784 individuals, 1526 events, median follow-up 11.3 years). RESULTS One SD increment in the metaGRS was significantly associated with 31% higher odds for ICH (95% CI, 1.16-1.48) in age-, sex- and clinical risk factor-adjusted models. The metaGRS identified individuals with almost 5-fold higher odds for ICH in the top score percentile (odds ratio, 4.83 [95% CI, 1.56-21.2]). Predictive models for ICH incorporating the metaGRS in addition to clinical predictors showed superior performance compared to the clinical risk factors alone (c-index, 0.695 versus 0.686). The metaGRS showed similar associations for lobar and nonlobar ICH, independent of the known APOE risk locus for lobar ICH. In the UK Biobank, the metaGRS was associated with higher risk of incident ICH (hazard ratio, 1.15 [95% CI, 1.09-1.21]). The associations were significant within both a relatively high-risk population of antithrombotic medications users, as well as among a relatively low-risk population with a good control of vascular risk factors and no use of anticoagulants. CONCLUSIONS We developed and validated a genomic risk score that predicts lifetime risk of ICH beyond established clinical risk factors among individuals of European ancestry. Whether implementation of the score in risk prognostication models for high-risk populations, such as patients under antithrombotic treatment, could improve clinical decision making should be explored in future studies.
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Affiliation(s)
- Evangelos Pavlos Myserlis
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Henry and Alisson McCance Center for Brain Health, Massachusetts General Hospital, Boston, MA, USA
- Department of Neurology, Massachusetts General Hospital, Boston, MA, USA
- Department of Neurology, Medical University of South Carolina, Charleston, SC, USA
| | - Marios K. Georgakis
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Henry and Alisson McCance Center for Brain Health, Massachusetts General Hospital, Boston, MA, USA
- Department of Neurology, Massachusetts General Hospital, Boston, MA, USA
- Institute for Stroke and Dementia Research (ISD), University Hospital, Ludwig-Maximilians-University (LMU), Munich, Germany
| | - Stacie L. Demel
- Department of Neurology and Rehabilitation Medicine, University of Cincinnati College of Medicine, Cincinnati, OH, USA
| | - Padmini Sekar
- Department of Neurology and Rehabilitation Medicine, University of Cincinnati College of Medicine, Cincinnati, OH, USA
| | - Jaeyoon Chung
- Department of Medicine, Boston University School of Medicine, Boston, MA, USA
| | - Rainer Malik
- Institute for Stroke and Dementia Research (ISD), University Hospital, Ludwig-Maximilians-University (LMU), Munich, Germany
| | - Hyacinth I. Hyacinth
- Department of Neurology and Rehabilitation Medicine, University of Cincinnati College of Medicine, Cincinnati, OH, USA
| | - Mary E. Comeau
- Department of Biostatistics and Data Science, Wake Forest University School of Medicine, Winston-Salem, North Carolina, USA
- Center for Precision Medicine, Wake Forest University School of Medicine, Winston-Salem, North Carolina, USA
| | - Guido Falcone
- Division of Neurocritical Care & Emergency Neurology, Department of Neurology, Yale School of Medicine, New Haven, CT, USA
| | - Carl D. Langefeld
- Department of Biostatistics and Data Science, Wake Forest University School of Medicine, Winston-Salem, North Carolina, USA
- Center for Precision Medicine, Wake Forest University School of Medicine, Winston-Salem, North Carolina, USA
| | - Jonathan Rosand
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Henry and Alisson McCance Center for Brain Health, Massachusetts General Hospital, Boston, MA, USA
- Department of Neurology, Massachusetts General Hospital, Boston, MA, USA
| | - Daniel Woo
- Department of Neurology and Rehabilitation Medicine, University of Cincinnati College of Medicine, Cincinnati, OH, USA
| | - Christopher D. Anderson
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Henry and Alisson McCance Center for Brain Health, Massachusetts General Hospital, Boston, MA, USA
- Department of Neurology, Brigham and Women's Hospital, Boston, MA, USA
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Myserlis EP, Anderson CD, Georgakis MK. Genetically Proxied CRP (C-Reactive Protein) Levels and Lobar Intracerebral Hemorrhage Risk. Stroke 2023; 54:e130-e132. [PMID: 36891905 PMCID: PMC10085000 DOI: 10.1161/strokeaha.122.041889] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2022] [Accepted: 02/03/2023] [Indexed: 03/10/2023]
Abstract
BACKGROUND Recent evidence suggests that higher CRP (C-reactive protein) levels are associated with lower risk of Alzheimer disease, speculating that CRP might be involved in Aβ clearance mechanisms. Testing this hypothesis, we explored whether genetically proxied CRP levels are also associated with lobar intracerebral hemorrhage (ICH), commonly caused by cerebral amyloid angiopathy. METHODS We used 4 genetic variants within the CRP gene that explain up to 64% of the variance of circulating CRP levels and explored in 2-sample Mendelian randomization analyses associations with risk of any, lobar, and deep ICH (1545 cases and 1481 controls). RESULTS Higher genetically proxied CRP levels were associated with lower odds of lobar ICH (odds ratio per SD increment in CRP, 0.45 [95% CI, 0.25-0.73]) but not deep ICH (odds ratio, 0.72 [95% CI, 0.45-1.14]). There was evidence of colocalization (posterior probability of association, 72.4%) in the signals for CRP and lobar ICH. CONCLUSIONS Our results provide supportive evidence that high CRP levels may have a protective role in amyloid-related pathology.
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Affiliation(s)
| | - Christopher D. Anderson
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Henry and Alisson McCance Center for Brain Health, Massachusetts General Hospital, Boston, MA, USA
- Department of Neurology, Brigham and Women’s Hospital, Boston, MA, USA
| | - Marios K. Georgakis
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Henry and Alisson McCance Center for Brain Health, Massachusetts General Hospital, Boston, MA, USA
- Institute for Stroke and Dementia Research (ISD), University Hospital, Ludwig-Maximilians-University (LMU), Munich, Germany
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Wang Z, Lu J, Weng W, Zhang J. Women's reproductive traits and cerebral small-vessel disease: A two-sample Mendelian randomization study. Front Neurol 2023; 14:1064081. [PMID: 37064189 PMCID: PMC10098092 DOI: 10.3389/fneur.2023.1064081] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2022] [Accepted: 03/03/2023] [Indexed: 03/31/2023] Open
Abstract
BackgroundObservational studies have suggested that women's reproductive factors (age at menarche (AAM), age at first birth (AFB), age at first sexual intercourse (AFS), age at natural menopause (ANM), and pregnancy loss) may influence the risk of cerebral small-vessel disease (CSVD) although the causality remains unclear.MethodsWe conducted two-sample univariable Mendelian randomization (UVMR) and multivariable MR (MVMR) to simultaneously investigate the causal relationships between five women's reproductive traits and CSVD clinical [intracerebral hemorrhage (ICH) by location or small-vessel ischemic stroke (SVS)] and subclinical measures [white matter hyperintensities (WMH), fractional anisotropy (FA), and mean diffusivity (MD)], utilizing data from large-scale genome-wide association studies of European ancestry. For both UVMR and MVMR, the inverse-variance-weighted (IVW) estimates were reported as the main results. The MR-Egger, weighted median, generalized summary-data-based MR (GSMR), and MR-pleiotropy residual sum and outlier (MR-PRESSO) methods for UVMR and MVMR-Egger, and the MVMR-robust methods for MVMR were used as sensitivity analyses. Sex-combined instruments for AFS and AFB were used to assess the impact of sex instrumental heterogeneity. Positive control analysis was implemented to measure the efficacy of selected genetic instruments.ResultsWe found no evidence to support causal associations between genetic liability for women's reproductive factors and the risk of CSVD in UVMR (all P-values > 0.05). Using MVMR, the results were consistent with the findings of UVMR after accounting for body mass index and educational attainment (all P-values > 0.05). Sensitivity analyses also provided consistent results. The putative positive causality was observed between AAM, ANM, and ovarian cancer, ensuring the efficacy of selected genetic instruments.ConclusionOur findings do not convincingly support a causal effect of women's reproductive factors on CSVD. Future studies are warranted to investigate specific estrogen-related physiological changes in women, which may inform current researchers on the causal mechanisms involved in cerebral small-vessel disease progression.
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Affiliation(s)
- Zhenqian Wang
- School of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen, Guangdong, China
| | - Jiawen Lu
- School of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen, Guangdong, China
| | - Weipin Weng
- Department of Neurology, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Jie Zhang
- Department of Neurology, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China
- *Correspondence: Jie Zhang
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Guo X, Tang P, Hou C, Liu Y, Li R. Impaired pulmonary function mediates the impact of preterm birth on later-life stroke: a 2-step, multivariable Mendelian randomization study. Epidemiol Health 2023; 45:e2023031. [PMID: 36915271 PMCID: PMC10586927 DOI: 10.4178/epih.e2023031] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2022] [Accepted: 02/22/2023] [Indexed: 03/16/2023] Open
Abstract
OBJECTIVES Observational studies have suggested an association between preterm birth and stroke in late adulthood, but it remains unclear whether the association is causal. The purpose of this study was to evaluate the causal effects of gestational age on stroke and to determine the pathophysiological mechanisms underlying the causal associations. METHODS Two-sample Mendelian randomization (MR) was performed to assess the causal effects of fetal gestational duration, early preterm birth (EPB), preterm birth, or postterm birth on stroke and its subtypes. Two-step Mendelian randomization (TSMR) and multivariable Mendelian randomization (MVMR) were additionally used to determine the role of common stroke risk factors, including cardiovascular diseases, hypertension, pulmonary impairment, inflammation, and metabolic diseases, in mediating the causal associations between gestational age and stroke and its subtypes. RESULTS Genetically predicted EPB increased the risk of cardioembolic stroke (CES; odds ratio [OR], 1.115; 95% confidence interval [CI], 1.036 to 1.200; p=0.004) and large artery stroke (LAS; OR, 1.131; 95% CI, 1.031 to 1.241; p=0.009). The TSMR results showed that EPB was associated with a lower forced expiratory volume in the first second and forced vital capacity ratio (FEV1/FVC) (β=-0.020; 95% CI, -0.035 to -0.005; p=0.009), which increased the risk of CES and LAS. Further MVMR analysis showed that the associations between EPB and stroke disappeared after adjustment for FEV1/FVC. CONCLUSIONS Our data demonstrate that EPB is causally associated with an elevated risk of CES and LAS, and that pulmonary dysfunction mediates the causal impact of EPB on CES and LAS.
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Affiliation(s)
- Xingzhi Guo
- Department of Geriatric Neurology, Shaanxi Provincial People’s Hospital, Xi’an, China
- Shaanxi Provincial Clinical Research Center for Geriatric Medicine, Xi’an, China
- Institute of Medical Research, Northwestern Polytechnical University, Xi’an, China
| | - Peng Tang
- Department of Geriatric Neurology, Shaanxi Provincial People’s Hospital, Xi’an, China
- Shaanxi Provincial Clinical Research Center for Geriatric Medicine, Xi’an, China
| | - Chen Hou
- Department of Geriatric Neurology, Shaanxi Provincial People’s Hospital, Xi’an, China
- Shaanxi Provincial Clinical Research Center for Geriatric Medicine, Xi’an, China
| | - Yue Liu
- Department of Geriatric Neurology, Shaanxi Provincial People’s Hospital, Xi’an, China
- Shaanxi Provincial Clinical Research Center for Geriatric Medicine, Xi’an, China
| | - Rui Li
- Department of Geriatric Neurology, Shaanxi Provincial People’s Hospital, Xi’an, China
- Shaanxi Provincial Clinical Research Center for Geriatric Medicine, Xi’an, China
- Institute of Medical Research, Northwestern Polytechnical University, Xi’an, China
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Feng X, Li X, Feng J, Xia J. Intracranial hemorrhage management in the multi-omics era. Heliyon 2023; 9:e14749. [PMID: 37101482 PMCID: PMC10123201 DOI: 10.1016/j.heliyon.2023.e14749] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2022] [Revised: 03/08/2023] [Accepted: 03/16/2023] [Indexed: 03/29/2023] Open
Abstract
Intracranial hemorrhage (ICH) is a devastating disorder. Neuroprotective strategies that prevent tissue injury and improve functional outcomes have been identified in multiple animal models of ICH. However, these potential interventions in clinical trials produced generally disappointing results. With progress in omics, studies of omics data, including genomics, transcriptomics, epigenetics, proteomics, metabolomics, and the gut microbiome, may help promote precision medicine. In this review, we focused on introducing the applications of all omics in ICH and shed light on all of the considerable advantages to systematically analyze the necessity and importance of multiple omics technology in ICH.
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Affiliation(s)
- Xianjing Feng
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, China
| | - Xi Li
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, China
| | - Jie Feng
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, China
| | - Jian Xia
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, China
- Clinical Research Center for Cerebrovascular Disease of Hunan Province, Central South University, Changsha, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China
- Corresponding author. Department of Neurology, Xiangya Hospital, Central South University, No.87, Xiangya Road, Changsha, 410008, China
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Xie Y, Acosta JN, Ye Y, Demarais ZS, Conlon CJ, Chen M, Zhao H, Falcone GJ. Whole-Exome Sequencing Analyses Support a Role of Vitamin D Metabolism in Ischemic Stroke. Stroke 2023; 54:800-809. [PMID: 36762557 PMCID: PMC10467223 DOI: 10.1161/strokeaha.122.040883] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2022] [Accepted: 12/22/2022] [Indexed: 02/11/2023]
Abstract
BACKGROUND Ischemic stroke (IS) is a highly heritable trait, and genome-wide association studies have identified several commonly occurring susceptibility risk loci for this condition. However, there are limited data on the contribution of rare genetic variation to IS. METHODS We conducted an exome-wide study using whole-exome sequencing data from 152 058 UK Biobank participants, including 1777 IS cases. We performed single-variant analyses for rare variants and gene-based analyses for loss-of-function and deleterious missense rare variants. We validated these results through (1) gene-based testing using summary statistics from MEGASTROKE-a genome-wide association study of IS that included 67 162 IS cases and 454 450 controls, (2) gene-based testing using individual-level data from 1706 IS survivors, including 142 recurrent IS cases, enrolled in the VISP trial (Vitamin Intervention for Stroke Prevention); and (3) gene-based testing against neuroimaging phenotypes related to cerebrovascular disease using summary-level data from 42 310 UK Biobank participants with available magnetic resonance imaging data. RESULTS In single-variant association analyses, none of the evaluated variants were associated with IS at genome-wide significance levels (P<5×10-8). In the gene-based analysis focused on loss-of-function and deleterious missense variants, rare genetic variation at CYP2R1 was significantly associated with IS risk (P=2.6×10-6), exceeding the Bonferroni-corrected threshold for 16 074 tests (P<3.1×10-6). Validations analyses indicated that CYP2R1 was associated with IS risk in MEGASTROKE (gene-based test, P=0.003), with IS recurrence in the VISP trial (gene-based test, P=0.001) and with neuroimaging traits (white matter hyperintensity, mean diffusivity, and fractional anisotropy) in the UK Biobank neuroimaging study (all gene-based tests, P<0.05). CONCLUSIONS Because CYP2R1 plays an important role in vitamin D metabolism and existing observational evidence suggests an association between vitamin D levels and cerebrovascular disease, our results support a role of this pathway in the occurrence of IS.
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Affiliation(s)
- Yuhan Xie
- Department of Biostatistics, Yale School of Public Health, New Haven, CT, USA
| | - Julián N. Acosta
- Department of Neurology, Yale School of Medicine, New Haven, CT, USA
| | - Yixuan Ye
- Program of Computational Biology and Bioinformatics, Yale School of Medicine, New Haven, CT, USA
| | - Zachariah S. Demarais
- Frank H. Netter M.D. School of Medicine, Quinnipiac University, North Haven, CT, USA
| | - Carolyn J. Conlon
- Frank H. Netter M.D. School of Medicine, Quinnipiac University, North Haven, CT, USA
| | - Ming Chen
- Department of Biostatistics, Yale School of Public Health, New Haven, CT, USA
| | - Hongyu Zhao
- Department of Biostatistics, Yale School of Public Health, New Haven, CT, USA
- Program of Computational Biology and Bioinformatics, Yale School of Medicine, New Haven, CT, USA
| | - Guido J. Falcone
- Department of Neurology, Yale School of Medicine, New Haven, CT, USA
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Mayerhofer E, Parodi L, Prapiadou S, Malik R, Rosand J, Georgakis MK, Anderson CD. Genetic Risk Score Improves Risk Stratification for Anticoagulation-Related Intracerebral Hemorrhage. Stroke 2023; 54:791-799. [PMID: 36756894 PMCID: PMC9992221 DOI: 10.1161/strokeaha.122.041764] [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: 10/25/2022] [Accepted: 01/19/2023] [Indexed: 02/10/2023]
Abstract
BACKGROUND Intracerebral hemorrhage (ICH) is the most devastating adverse outcome for patients on anticoagulants. Clinical risk scores that quantify bleeding risk can guide decision-making in situations when indication or duration for anticoagulation is uncertain. We investigated whether integration of a genetic risk score into an existing risk factor-based CRS could improve risk stratification for anticoagulation-related ICH. METHODS We constructed 153 genetic risk scores from genome-wide association data of 1545 ICH cases and 1481 controls and validated them in 431 ICH cases and 431 matched controls from the population-based UK Biobank. The score that explained the largest variance in ICH risk was selected and tested for prediction of incident ICH in an independent cohort of 5530 anticoagulant users. A CRS for major anticoagulation-related hemorrhage, based on 8/9 components of the HAS-BLED score, was compared with a combined clinical and genetic risk score incorporating an additional point for high genetic risk for ICH. RESULTS Among anticoagulated individuals, 94 ICH occurred over a mean follow-up of 11.9 years. Compared with the lowest genetic risk score tertile, being in the highest tertile was associated with a two-fold increased risk for incident ICH (hazard ratio, 2.08 [95% CI, 1.22-3.56]). Although the CRS predicted incident ICH with a hazard ratio of 1.24 per 1-point increase (95% CI [1.01-1.53]), adding a point for high genetic ICH risk led to a stronger association (hazard ratio of 1.33 per 1-point increase [95% CI, 1.11-1.59]) with improved risk stratification (C index 0.57 versus 0.53) and maintained calibration (integrated calibration index 0.001 for both). The new clinical and genetic risk score showed 19% improvement in high-risk classification among individuals with ICH and a net reclassification improvement of 0.10. CONCLUSIONS Among anticoagulant users, a prediction score incorporating genomic information is superior to a clinical risk score alone for ICH risk stratification and could serve in clinical decision-making.
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Affiliation(s)
- Ernst Mayerhofer
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, USA
- Henry and Allison McCance Center for Brain Health, Massachusetts General Hospital, Boston, USA
- Program in Medical and Population Genetics, Broad Institute of Harvard and the Massachusetts Institute of Technology, Cambridge, USA
| | - Livia Parodi
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, USA
- Henry and Allison McCance Center for Brain Health, Massachusetts General Hospital, Boston, USA
- Program in Medical and Population Genetics, Broad Institute of Harvard and the Massachusetts Institute of Technology, Cambridge, USA
- Department of Neurology, Brigham and Women’s Hospital, Boston, USA
| | - Savvina Prapiadou
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, USA
- Henry and Allison McCance Center for Brain Health, Massachusetts General Hospital, Boston, USA
- Program in Medical and Population Genetics, Broad Institute of Harvard and the Massachusetts Institute of Technology, Cambridge, USA
| | - Rainer Malik
- Institute for Stroke and Dementia Research (ISD), University Hospital, Ludwig-Maximilians-University (LMU) Munich, Germany
| | - Jonathan Rosand
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, USA
- Henry and Allison McCance Center for Brain Health, Massachusetts General Hospital, Boston, USA
- Program in Medical and Population Genetics, Broad Institute of Harvard and the Massachusetts Institute of Technology, Cambridge, USA
| | - Marios K Georgakis
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, USA
- Henry and Allison McCance Center for Brain Health, Massachusetts General Hospital, Boston, USA
- Program in Medical and Population Genetics, Broad Institute of Harvard and the Massachusetts Institute of Technology, Cambridge, USA
- Institute for Stroke and Dementia Research (ISD), University Hospital, Ludwig-Maximilians-University (LMU) Munich, Germany
| | - Christopher D Anderson
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, USA
- Henry and Allison McCance Center for Brain Health, Massachusetts General Hospital, Boston, USA
- Program in Medical and Population Genetics, Broad Institute of Harvard and the Massachusetts Institute of Technology, Cambridge, USA
- Department of Neurology, Brigham and Women’s Hospital, Boston, USA
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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: 1433] [Impact Index Per Article: 1433.0] [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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Cao L, Liu D, Karhunen V, Ren Y, Ye D, Gao J, Gill D, Wang M. Circulating macrophage colony-stimulating factor levels and stroke: A Mendelian randomization study. J Stroke Cerebrovasc Dis 2023; 32:107050. [PMID: 36780760 DOI: 10.1016/j.jstrokecerebrovasdis.2023.107050] [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: 11/13/2022] [Revised: 01/30/2023] [Accepted: 02/03/2023] [Indexed: 02/13/2023] Open
Abstract
OBJECTIVES Colony-stimulating factor 1 (CSF1), also known as macrophage colony-stimulating factor, has been shown to be associated with risk of ischemic stroke in conventional epidemiological study. We performed a Mendelian randomization analysis to evaluate the effects of genetically predicted circulating CSF1 levels on stroke and carotid intima-media thickness (cIMT). METHODS Genetic variants robustly associated with CSF1 levels, located in the vicinity of the CSF1 gene (cis), were used as instruments for CSF1 levels. Genetic association estimates for ischemic stroke and its subtypes, intra-cerebral hemorrhage (ICH), and cIMT were obtained from MEGASTROKE (60,341 cases and 454,450 controls), ISGC (1,545 cases and 1,481 controls), and UK Biobank (22,179 individuals), respectively. RESULTS Genetically predicted higher CSF1 levels was significantly associated with a higher risk of any ischemic stroke, large artery stroke (LAS) and cardioembolic stroke (CES), but not with small vessel stroke (SVS) and ICH. The odds ratios (ORs) per genetically predicted one standard deviation (SD) increase in circulating CSF1 levels were 1.11 (95% CI 1.04-1.17) for any ischemic stroke, 1.23 (95% CI 1.07-1.42) for LAS, 1.18 (95% CI 1.05-1.33) for CES, 1.07 (95% CI 0.94-1.21) for SVS, and 1.15 (95% CI 0.73-1.83) for ICH. Similarly, we also found that genetically predicted higher CSF1 levels were associated with higher cIMT, as a measure of subclinical atherosclerosis (cIMT, β 0.016, 95% CI, 0.004-0.029). CONCLUSIONS This study provides evidence that genetically predicted higher CSF1 levels was associated with higher risk of any ischemic stroke, LAS, and CES. Whether targeting CSF1 or its receptors can reduce the risk of ischemic stroke needs further study.
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Affiliation(s)
- Liping Cao
- Department of Neurology, The Third Affiliated Hospital of Soochow University, Changzhou, China
| | - Dandan Liu
- Department of Integrated Traditional Chinese and Western Medicine, The Third Affiliated Hospital of Soochow University, Changzhou, China
| | - Ville Karhunen
- Research Unit of Mathematical Sciences, University of Oulu, Oulu, Finland; Center for Life Course Health Research, Faculty of Medicine, University of Oulu, Oulu, Finland
| | - Yi Ren
- Department of Neurology, The Third Affiliated Hospital of Soochow University, Changzhou, China
| | - Dan Ye
- Department of Neurology, The Third Affiliated Hospital of Soochow University, Changzhou, China
| | - Jie Gao
- Department of Neurology, Jinling Hospital, Medical School of Nanjing University, Nanjing, China
| | - Dipender Gill
- Department of Epidemiology and Biostatistics, School of Public Health, St Mary's Hospital, Imperial College London, London, United Kingdom
| | - Mengmeng Wang
- Department of Neurology, The Third Affiliated Hospital of Soochow University, Changzhou, China.
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Zhang Y, Duan Y, Jiang M, He X, Xu S, Guo J, Li M, Zhou C, Wu D, Liu G, Ji X. Branched-chain amino acids and risk of stroke: A Mendelian randomization study. Front Neurosci 2023; 17:1143718. [PMID: 36845444 PMCID: PMC9947500 DOI: 10.3389/fnins.2023.1143718] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2023] [Accepted: 01/26/2023] [Indexed: 02/11/2023] Open
Abstract
Background The causality between plasma branched-chain amino acids (BCAAs) levels and stroke remains uncertain and the stratified research on the association between BCAAs levels and subtypes of stroke is not well studied. Therefore, the association of genetically proxied circulating BCAA levels with the risks of stroke and its subtypes was explored by Mendelian randomization (MR) in this study. Methods Summary-level data derived from the published genome-wide association studies (GWAS) were employed for analyses. Data for plasma BCAA levels (n = 16,596) were obtained from a meta-analysis of GWAS. The MEGASTROKE consortium provided data for ischemic stroke (n = 440,328) and its subtypes and data for hemorrhagic stroke were available from 2 meta-analyses of GWAS of European-ancestry groups (intracerebral hemorrhage, n = 3,026; subarachnoid hemorrhage, n = 77,074). The inverse variance weighted (IVW) method was selected as the primary MR analysis. Supplementary analysis used included the weighted median, MR-Egger regression, Cochran's Q statistic, MR Pleiotropy Residual Sum and Outlier global test, and leave-one-out analysis method. Results According to IVW analysis, 1-SD increment in genetically determined circulating isoleucine was associated with increased risks of cardioembolic stroke (CES) (OR: 1.56, 95% CI: 1.21-2.20, P = 0.0007), but not with risks of other stroke subtypes. We could not discover any proof that leucine and valine levels could increase risk of any stroke subtype. All heterogeneity tests produced stable findings, and there was no concrete evidence to indicate the perturbation of horizontal multiplicity. Conclusion Increasing plasma isoleucine level had a causal effect on the risk of CES but not on the risk of other stroke subtypes. Further research is needed to identify the mechanisms of the causal associations between BCAAs and stroke subtypes.
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Affiliation(s)
- Yang Zhang
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Yunxia Duan
- China-America Institute of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Miaowen Jiang
- Beijing Institute for Brain Disorders, Capital Medical University, Beijing, China
| | - Xiaoduo He
- China-America Institute of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Shuaili Xu
- China-America Institute of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Jiaqi Guo
- China-America Institute of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Ming Li
- China-America Institute of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Chen Zhou
- Beijing Institute for Brain Disorders, Capital Medical University, Beijing, China
| | - Di Wu
- China-America Institute of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Guiyou Liu
- Beijing Institute for Brain Disorders, Capital Medical University, Beijing, China
| | - Xunming Ji
- China-America Institute of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China,Beijing Institute for Brain Disorders, Capital Medical University, Beijing, China,Department of Neurosurgery, Xuanwu Hospital, Capital Medical University, Beijing, China,*Correspondence: Xunming Ji,
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Li J, Li G, Zhu Y, Lei X, Chen G, Zhang J, Sun X. Role of LDL-C level alteration in increased mortality risks in spontaneous intracerebral hemorrhage patients: Systematic review and meta-analysis. Front Neurol 2023; 14:1114176. [PMID: 36925942 PMCID: PMC10011101 DOI: 10.3389/fneur.2023.1114176] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2022] [Accepted: 02/13/2023] [Indexed: 03/06/2023] Open
Abstract
Background Current studies indicate a contradictory relationship between decreased mortality risks of spontaneous intracerebral hemorrhage (sICH) and elevated low-density lipoprotein cholesterol (LDL-C) levels. Thus, this meta-analysis was designed to examine the involvement of high LDL-C levels in a lower mortality risk of sICH patients. Methods PubMed, Cochrane, and Embase databases were searched up to the date of August 3rd, 2022. Pooled odds ratio (OR) with a 95% confidence interval (CI) was estimated for the higher vs. lower serum LDL-C level groups. Subgroup and sensitivity analyses were also carried out. Egger's test was applied to detect any potential publication bias. Results Of 629 citations reviewed, 8 eligible cohort studies involving 83,013 patients were enrolled in this meta-analysis. Compared with lower serum LDL-C levels containing patients, higher serum LDL-C patients exhibited significantly decreased risks of 3-month mortality (OR: 0.51; 95%CI: 0.33-0.78; I2 = 47.8%); however, the LDL-C level change wasn't significantly associated with in-hospital mortality risks (OR: 0.92; 95%CI: 0.63-1.33; I2 = 91.4%) among sICH subjects. All studies included were classified as high-quality investigations. Conclusions This meta-analysis suggests a higher LDL-C level may decrease the mortality risk in sICH patients. LDL-C level increase is inversely associated with the 3-month mortality risks in these patients but not significantly correlated with the in-hospital mortality risks. Further well-designed prospective studies with extended follow-up periods are needed to confirm these findings and explore underlying cross-talks. Systematic review registration https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42022318318, identifier: PROSPERO 2022 CRD42022318318.
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Affiliation(s)
- Jing Li
- Department of Neurosurgery, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Gang Li
- Department of Neurosurgery, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Yajun Zhu
- Department of Neurosurgery, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Xingwei Lei
- Department of Neurosurgery, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Guihu Chen
- Department of Neurosurgery, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Jiachun Zhang
- Department of Neurosurgery, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Xiaochuan Sun
- Department of Neurosurgery, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
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Song J, Chen W, Ye W. Stroke and the risk of gastrointestinal disorders: A Mendelian randomization study. Front Neurol 2023; 14:1131250. [PMID: 36895909 PMCID: PMC9989308 DOI: 10.3389/fneur.2023.1131250] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/24/2022] [Accepted: 01/30/2023] [Indexed: 02/23/2023] Open
Abstract
Background The issue of whether a stroke is causally related to gastrointestinal disorders was still not satisfactorily understood. Therefore, we investigated if there is a connection between stroke and the most prevalent gastrointestinal disorders, including peptic ulcer disease (PUD), gastroesophageal reflux disease (GERD), irritable bowel syndrome (IBS), and inflammatory bowel disease (IBD). Methods We applied two-sample Mendelian randomization to investigate relationships with gastrointestinal disorders. We obtained genome-wide association study (GWAS) summary data of any stroke, ischemic stroke, and its subtypes from the MEGASTROKE consortium. From the International Stroke Genetics Consortium (ISGC) meta-analysis, we acquired GWAS summary information on intracerebral hemorrhage (ICH), including all ICH, deep ICH, and lobar ICH. Several sensitivity studies were performed to identify heterogeneity and pleiotropy, while inverse-variance weighted (IVW) was utilized as the most dominant estimate. Results No evidence for an effect of genetic predisposition to ischemic stroke and its subtypes on gastrointestinal disorders were found in IVW. The complications of deep ICH are a higher risk for PUD and GERD. Meanwhile, lobar ICH has a higher risk of complications for PUD. Conclusion This study provides proof of the presence of a brain-gut axis. Among the complications of ICH, PUD and GERD were more common and associated with the site of hemorrhage.
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Affiliation(s)
- Jingru Song
- Department of Gastroenterology, Hangzhou Traditional Chinese Medicine (TCM) Hospital Affiliated to Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China
| | - Wenjing Chen
- Department of Gastroenterology, Hangzhou Traditional Chinese Medicine (TCM) Hospital Affiliated to Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China
| | - Wei Ye
- Department of Gastroenterology, Hangzhou Traditional Chinese Medicine (TCM) Hospital Affiliated to Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China
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Li P, Dong Z, Chen W, Yang G. Causal Relations Between Obstructive Sleep Apnea and Stroke: A Mendelian Randomization Study. Nat Sci Sleep 2023; 15:257-266. [PMID: 37155472 PMCID: PMC10122861 DOI: 10.2147/nss.s398544] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/01/2022] [Accepted: 03/30/2023] [Indexed: 05/10/2023] Open
Abstract
Background Previous studies of obstructive sleep apnea (OSA) in relation to stroke have been noted. However, the exact causality remains to be clearly defined. We aimed to adopt a two-sample Mendelian randomization study to investigate the causal effects of OSA on stroke and its subtypes. Methods A two-sample Mendelian randomization (MR) analysis was conducted to evaluate the causal effect of OSA on stroke and its subtypes, including, based on publicly genome-wide association studies (GWAS) databases. The inverse variance weighted (IVW) method was used as the main analysis. MR-Egger regression, weighted mode, weighted median, and MR pleiotropy residual sum and outlier (MR-PRESSO) were performed methods and were adopted as supplementary analysis to ensure the robustness of the results. Results Genetically predicted OSA was not related to the risk of stroke (odds ratio (OR), 0.99, 95% CI, 0.81-1.21, p = 0.909), and its subtypes, ischemic stroke (IS) (OR, 1.01, 95% CI, 0.82-1.23, p = 0.927), large vessel stroke (LVS) (OR, 1.05, 95% CI, 0.73-1.51, p = 0.795), cardioembolic stroke (CES) (OR, 1.03, 95% CI, 0.74-1.43, p = 0.855), small vessel stroke (SVS) (OR, 1.13, 95% CI, 0.88-1.46, p = 0.329), lacunar stroke (LS) (OR, 1.07, 95% CI, 0.74-1.56, p = 0.721) as well as intracerebral hemorrhage (ICH) (OR, 0.37, 95% CI = 0.09, 1.48, p = 0.160) (Wald ratio method). Other supplementary MR methods also confirmed similar results. Conclusion There may be no direct causal relationship between OSA and stroke or its subtypes.
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Affiliation(s)
- Po Li
- Department of General Surgery, Second People’s Hospital of Zhangye City, Zhangye, 734000, People’s Republic of China
| | - Zhiyong Dong
- Department of Gastrointestinal Surgery, The First Affiliated Hospital of Jinan University, Guangzhou, People’s Republic of China
| | - Wenhui Chen
- Department of Gastrointestinal Surgery, The First Affiliated Hospital of Jinan University, Guangzhou, People’s Republic of China
- Wenhui Chen, Department of Gastrointestinal Surgery, The First Affiliated Hospital of Jinan University, No. 613 Huangpu Avenue West, Guangzhou, People’s Republic of China, Tel +86 13129349492, Fax +86 20 38688608, Email
| | - Gang Yang
- Department of General Surgery, Second People’s Hospital of Zhangye City, Zhangye, 734000, People’s Republic of China
- Correspondence: Gang Yang, Department of General Surgery, Second People’s Hospital of Zhangye City, No. 270 Linsong West Street, Binhe New District, Ganzhou District, Zhangye, Gansu, People’s Republic of China, Tel +86 1899361927, Fax +0936 8215086, Email
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Chen C, Gu X, Liu F, Sun C, Mu J, Jin D, Sui X, Geng D, Li Q, Jiang Y, Shen C. SNP rs3803264 polymorphisms in THSD1 and abnormally expressed mRNA are associated with hemorrhagic stroke. Front Aging Neurosci 2023; 15:1144364. [PMID: 37139087 PMCID: PMC10150931 DOI: 10.3389/fnagi.2023.1144364] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2023] [Accepted: 03/20/2023] [Indexed: 05/05/2023] Open
Abstract
Background Thrombospondin Type 1 Domain Containing Protein 1 (THSD1) has been suggested to be a new regulator of endothelial barrier function in the angiogenesis process, preserving vascular integrity. We sought to characterize the association of THSD1 genetic variants and mRNA expression with the risk of hemorrhagic stroke (HS) with population-based evidence. Methods A case-control study was conducted with 843 HS cases and 1,400 healthy controls. A cohort study enrolled 4,080 participants free of stroke at baseline in 2009 and followed up to 2022. A synonymous variant, the main tag SNP rs3803264 of the THSD1 gene, was genotyped in all subjects, and peripheral leukocyte THSD1 mRNA expression was detected using RT-qPCR in 57 HS cases and 119 controls. Results In the case-control study, rs3803264 AG/GG variations are associated with a decreased risk of HS with odd ratio (OR) and 95% confidence interval (CI) of the dominant model of 0.788 (0.648-0.958), p = 0.017. In addition, rs3803264 and dyslipidemia had a multiplicative interaction [OR (95% CI) = 1.389 (1.032, 1.869), p = 0.030]. In the cohort study, a similar association strength of rs3803264 dominant model and the risk of HS was observed with the incidence rate ratio (IRR) of 0.734 and p-value of 0.383. Furthermore, the risk of HS showed a non-linear as THSD1 mRNA expression increased (p for non-linearity <0.001). For the subjects without hypertension, we observed THSD1 mRNA expression had a negative correlation with systolic blood pressure (SBP; ρ = -0.334, p = 0.022). Conclusion SNP rs3803264 polymorphisms in THSD1 are associated with the decreased risk of HS and interacted with dyslipidemia, and a non-linear association was observed between THSD1 mRNA expression and the risk of HS.
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Affiliation(s)
- Changying Chen
- Department of Epidemiology, Center of Global Health, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu, China
| | - Xincheng Gu
- Department of Epidemiology, Center of Global Health, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu, China
| | - Fangyuan Liu
- Department of Epidemiology, Center of Global Health, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu, China
| | - Congyong Sun
- Department of Medical Laboratory, Huai’an First People’s Hospital, The Affiliated Huai’an No.1 People’s Hospital of Nanjing Medical University, Huai’an, Jiangsu, China
| | - Jialin Mu
- Department of Epidemiology, Center of Global Health, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu, China
| | - Defu Jin
- Department of Medical Laboratory, Huai’an First People’s Hospital, The Affiliated Huai’an No.1 People’s Hospital of Nanjing Medical University, Huai’an, Jiangsu, China
| | - Xuemei Sui
- Department of Medical Laboratory, Huai’an First People’s Hospital, The Affiliated Huai’an No.1 People’s Hospital of Nanjing Medical University, Huai’an, Jiangsu, China
| | - Deqin Geng
- Department of Neurology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, Jiangsu, China
| | - Qingqing Li
- Department of Neurology, The Third People's Hospital of Xuzhou, Xuzhou, Jiangsu, China
| | - Yuzhang Jiang
- Department of Medical Laboratory, Huai’an First People’s Hospital, The Affiliated Huai’an No.1 People’s Hospital of Nanjing Medical University, Huai’an, Jiangsu, China
- *Correspondence: Yuzhang Jiang,
| | - Chong Shen
- Department of Epidemiology, Center of Global Health, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu, China
- Chong Shen,
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Wang RZ, Huang SY, Li HQ, Yang YX, Chen SD, Yu JT. Genetic determinants of circulating metabolites and the risk of stroke and its subtypes. Eur J Neurol 2022; 29:3711-3719. [PMID: 36086915 DOI: 10.1111/ene.15549] [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: 05/31/2022] [Accepted: 08/30/2022] [Indexed: 11/29/2022]
Abstract
BACKGROUND AND PURPOSE Circulating metabolites have been implicated in stroke pathogenesis, but their genetic determinants are understudied. Using a Mendelian randomization approach, our aim was to provide evidence for the relationship of circulating metabolites and the risk of stroke and its subtypes. METHODS Genetic instruments of 102 circulating metabolites were obtained from a genome-wide association study, including 24,925 European individuals. Stroke was extracted from the MEGASTROKE dataset (67,162 cases; 454,450 controls) and a lacunar stroke dataset (7338 cases; 254,798 controls). The magnetic resonance imaging markers of cerebral small vessel disease and microstructural injury were evaluated by a genome-wide association study of white matter hyperintensities (N = 18,381), fractional anisotropy (N = 17,663), mean diffusivity (N = 17,467) and brain microbleeds (N = 25,862). The inverse-variance weighted method Mendelian randomization was used as the primary analytical method, and directional pleiotropy and heterogeneity were examined in sensitivity analyses. RESULTS A genetic predisposition to a higher level of cholesterol in small and low-density lipoprotein (LDL) was associated with risk of stroke (odds ratio [OR] 1.14, 95% confidence interval [CI] 1.08-1.21, p = 5.98 × 10-7 ), especially for large-artery atherosclerotic stroke (OR 1.34, 95% CI 1.19-1.52, p = 1.90 × 10-6 ). Total lipids in LDL particles were also associated with risk of stroke. A genetically determined higher cholesterol level in high-density lipoprotein (HDL-C) was associated with risk of intracerebral haemorrhage (OR 1.74, 95% CI 1.23-2.45, p = 1.66 × 10-3 ). No statistically significant association was found between genetic predisposition to circulating metabolites and magnetic resonance imaging markers of cerebral small vessel disease and microstructural injury. CONCLUSIONS Genetically determined levels of lipids in small LDL were associated with the risk of stroke, suggesting that a therapeutic strategy targeting small LDL levels may be crucial for stroke prevention. HDL-C was positively associated with the risk of intracerebral haemorrhage.
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Affiliation(s)
- Rong-Ze Wang
- Department of Neurology and Institute of Neurology, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, Shanghai, China
| | - Shu-Yi Huang
- Department of Neurology and Institute of Neurology, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, Shanghai, China
| | - Hong-Qi Li
- Department of Neurology and Institute of Neurology, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, Shanghai, China
| | - Yu-Xiang Yang
- Department of Neurology and Institute of Neurology, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, Shanghai, China
| | - Shi-Dong Chen
- Department of Neurology and Institute of Neurology, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, Shanghai, China
| | - Jin-Tai Yu
- Department of Neurology and Institute of Neurology, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, Shanghai, China
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