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Xu Q, Guo D, Shi M, Wang Y, Yang P, Jia Y, Sun L, Liu Y, Chang X, He Y, Hui L, Zhang Y, Zhu Z. Genetically Determined Plasma Hepatocyte Growth Factor Levels Are Associated With the Risk and Prognosis of Ischemic Stroke. Stroke 2024; 55:1535-1542. [PMID: 38572663 DOI: 10.1161/strokeaha.123.045430] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2023] [Accepted: 03/11/2024] [Indexed: 04/05/2024]
Abstract
BACKGROUND Observational studies suggest that hepatocyte growth factor (HGF) is associated with the risk and prognosis of ischemic stroke, but the causality of these associations remains unclear. Therefore, we conducted Mendelian randomization (MR) analyses to explore the associations of genetically determined plasma HGF levels with the risk and prognosis of ischemic stroke. METHODS A total of 13 single-nucleotide polymorphisms associated with plasma HGF were selected as genetic instruments based on the data from a genome-wide association study with 21 758 European participants. Summary data about the risk of ischemic stroke were obtained from the MEGASTROKE (Multiancestry Genome-Wide Association Study of Stroke) Consortium with 34 217 ischemic stroke cases and 406 111 controls of European ancestry, and summary data about the prognosis of ischemic stroke were obtained from the GISCOME study (Genetics of Ischaemic Stroke Functional Outcome) with 6165 European patients with ischemic stroke. We conducted an inverse-variance weighted Mendelian randomization analysis followed by a series of sensitivity analyses to evaluate the associations of genetically determined plasma HGF with the risk and prognosis of ischemic stroke. RESULTS The primary analyses showed that genetically determined high HGF was associated with an increased risk of ischemic stroke (odds ratio per SD increase, 1.11 [95% CI, 1.04-1.19]; P=1.10×10-3) and poor prognosis of ischemic stroke (odds ratio per SD increase, 2.43 [95% CI, 1.76-3.52]; P=6.35×10-8). In the secondary analysis, genetically determined plasma HGF was associated with a high risk of large atherosclerotic stroke (odds ratio per SD increase, 1.39 [95% CI, 1.18-1.63]; P=5.08×10-5) but not small vessel stroke and cardioembolic stroke. Mendelian randomization-Egger regression showed no directional pleiotropy for all associations, and the sensitivity analyses with different Mendelian randomization methods further confirmed these findings. CONCLUSIONS We found positive associations of genetically determined plasma HGF with the risk and prognosis of ischemic stroke, suggesting that HGF might be implicated in the occurrence and development of ischemic stroke.
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Affiliation(s)
- Qingyun Xu
- Department of Epidemiology, School of Public Health, Jiangsu Key Laboratory of Preventive and Translational Medicine for Major Chronic Non-communicable Diseases, MOE Key Laboratory of Geriatric Diseases and Immunology (Q.X., M.S., Y.W., P.Y., Y.J., L.S., Y.L., X.C., Y.H., Y.Z., Z.Z.), Suzhou Medical College of Soochow University, China
| | - Daoxia Guo
- School of Nursing (D.G.), Suzhou Medical College of Soochow University, China
| | - Mengyao Shi
- Department of Epidemiology, School of Public Health, Jiangsu Key Laboratory of Preventive and Translational Medicine for Major Chronic Non-communicable Diseases, MOE Key Laboratory of Geriatric Diseases and Immunology (Q.X., M.S., Y.W., P.Y., Y.J., L.S., Y.L., X.C., Y.H., Y.Z., Z.Z.), Suzhou Medical College of Soochow University, China
| | - Yinan Wang
- Department of Epidemiology, School of Public Health, Jiangsu Key Laboratory of Preventive and Translational Medicine for Major Chronic Non-communicable Diseases, MOE Key Laboratory of Geriatric Diseases and Immunology (Q.X., M.S., Y.W., P.Y., Y.J., L.S., Y.L., X.C., Y.H., Y.Z., Z.Z.), Suzhou Medical College of Soochow University, China
| | - Pinni Yang
- Department of Epidemiology, School of Public Health, Jiangsu Key Laboratory of Preventive and Translational Medicine for Major Chronic Non-communicable Diseases, MOE Key Laboratory of Geriatric Diseases and Immunology (Q.X., M.S., Y.W., P.Y., Y.J., L.S., Y.L., X.C., Y.H., Y.Z., Z.Z.), Suzhou Medical College of Soochow University, China
| | - Yiming Jia
- Department of Epidemiology, School of Public Health, Jiangsu Key Laboratory of Preventive and Translational Medicine for Major Chronic Non-communicable Diseases, MOE Key Laboratory of Geriatric Diseases and Immunology (Q.X., M.S., Y.W., P.Y., Y.J., L.S., Y.L., X.C., Y.H., Y.Z., Z.Z.), Suzhou Medical College of Soochow University, China
| | - Lulu Sun
- Department of Epidemiology, School of Public Health, Jiangsu Key Laboratory of Preventive and Translational Medicine for Major Chronic Non-communicable Diseases, MOE Key Laboratory of Geriatric Diseases and Immunology (Q.X., M.S., Y.W., P.Y., Y.J., L.S., Y.L., X.C., Y.H., Y.Z., Z.Z.), Suzhou Medical College of Soochow University, China
| | - Yi Liu
- Department of Epidemiology, School of Public Health, Jiangsu Key Laboratory of Preventive and Translational Medicine for Major Chronic Non-communicable Diseases, MOE Key Laboratory of Geriatric Diseases and Immunology (Q.X., M.S., Y.W., P.Y., Y.J., L.S., Y.L., X.C., Y.H., Y.Z., Z.Z.), Suzhou Medical College of Soochow University, China
| | - Xinyue Chang
- Department of Epidemiology, School of Public Health, Jiangsu Key Laboratory of Preventive and Translational Medicine for Major Chronic Non-communicable Diseases, MOE Key Laboratory of Geriatric Diseases and Immunology (Q.X., M.S., Y.W., P.Y., Y.J., L.S., Y.L., X.C., Y.H., Y.Z., Z.Z.), Suzhou Medical College of Soochow University, China
| | - Yu He
- Department of Epidemiology, School of Public Health, Jiangsu Key Laboratory of Preventive and Translational Medicine for Major Chronic Non-communicable Diseases, MOE Key Laboratory of Geriatric Diseases and Immunology (Q.X., M.S., Y.W., P.Y., Y.J., L.S., Y.L., X.C., Y.H., Y.Z., Z.Z.), Suzhou Medical College of Soochow University, China
| | - Li Hui
- School of Nursing (D.G.), Suzhou Medical College of Soochow University, China
| | - Yonghong Zhang
- Department of Epidemiology, School of Public Health, Jiangsu Key Laboratory of Preventive and Translational Medicine for Major Chronic Non-communicable Diseases, MOE Key Laboratory of Geriatric Diseases and Immunology (Q.X., M.S., Y.W., P.Y., Y.J., L.S., Y.L., X.C., Y.H., Y.Z., Z.Z.), Suzhou Medical College of Soochow University, China
| | - Zhengbao Zhu
- Department of Epidemiology, School of Public Health, Jiangsu Key Laboratory of Preventive and Translational Medicine for Major Chronic Non-communicable Diseases, MOE Key Laboratory of Geriatric Diseases and Immunology (Q.X., M.S., Y.W., P.Y., Y.J., L.S., Y.L., X.C., Y.H., Y.Z., Z.Z.), Suzhou Medical College of Soochow University, China
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Georgiou AN, Zagkos L, Markozannes G, Chalitsios CV, Asimakopoulos AG, Xu W, Wang L, Mesa‐Eguiagaray I, Zhou X, Loizidou EM, Kretsavos N, Theodoratou E, Gill D, Burgess S, Evangelou E, Tsilidis KK, Tzoulaki I. Appraising the Causal Role of Risk Factors in Coronary Artery Disease and Stroke: A Systematic Review of Mendelian Randomization Studies. J Am Heart Assoc 2023; 12:e029040. [PMID: 37804188 PMCID: PMC7615320 DOI: 10.1161/jaha.122.029040] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/02/2023] [Accepted: 06/27/2023] [Indexed: 10/09/2023]
Abstract
BACKGROUND Mendelian randomization (MR) offers a powerful approach to study potential causal associations between exposures and health outcomes by using genetic variants associated with an exposure as instrumental variables. In this systematic review, we aimed to summarize previous MR studies and to evaluate the evidence for causality for a broad range of exposures in relation to coronary artery disease and stroke. METHODS AND RESULTS MR studies investigating the association of any genetically predicted exposure with coronary artery disease or stroke were identified. Studies were classified into 4 categories built on the significance of the main MR analysis results and its concordance with sensitivity analyses, namely, robust, probable, suggestive, and insufficient. Studies reporting associations that did not perform any sensitivity analysis were classified as nonevaluable. We identified 2725 associations eligible for evaluation, examining 535 distinct exposures. Of them, 141 were classified as robust, 353 as probable, 110 as suggestive, and 926 had insufficient evidence. The most robust associations were observed for anthropometric traits, lipids, and lipoproteins and type 2 diabetes with coronary artery; disease and clinical measurements with coronary artery disease and stroke; and thrombotic factors with stroke. CONCLUSIONS Despite the large number of studies that have been conducted, only a limited number of associations were supported by robust evidence. Approximately half of the studies reporting associations presented an MR sensitivity analysis along with the main analysis that further supported the causality of associations. Future research should focus on more thorough assessments of sensitivity MR analyses and further assessments of mediation effects or nonlinearity of associations.
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Affiliation(s)
- Andrea N. Georgiou
- Department of Hygiene and EpidemiologyUniversity of Ioannina School of MedicineIoanninaGreece
| | - Loukas Zagkos
- Department of Epidemiology and BiostatisticsSchool of Public Health, Imperial College LondonLondonUK
| | - Georgios Markozannes
- Department of Hygiene and EpidemiologyUniversity of Ioannina School of MedicineIoanninaGreece
- Department of Epidemiology and BiostatisticsSchool of Public Health, Imperial College LondonLondonUK
| | - Christos V. Chalitsios
- Department of Hygiene and EpidemiologyUniversity of Ioannina School of MedicineIoanninaGreece
| | | | - Wei Xu
- Centre for Global Health, Usher InstituteThe University of EdinburghEdinburghUK
| | - Lijuan Wang
- Centre for Global Health, Usher InstituteThe University of EdinburghEdinburghUK
| | | | - Xuan Zhou
- Centre for Global Health, Usher InstituteThe University of EdinburghEdinburghUK
| | - Eleni M. Loizidou
- Department of Hygiene and EpidemiologyUniversity of Ioannina School of MedicineIoanninaGreece
- Biobank Cyprus Center of Excellence in Biobanking and Biomedical ResearchUniversity of CyprusNicosiaCyprus
| | - Nikolaos Kretsavos
- Department of Hygiene and EpidemiologyUniversity of Ioannina School of MedicineIoanninaGreece
| | - Evropi Theodoratou
- Centre for Global Health, Usher InstituteThe University of EdinburghEdinburghUK
- Cancer Research UK Edinburgh Centre, Institute of Genetics and CancerThe University of EdinburghEdinburghUK
| | - Dipender Gill
- Department of Epidemiology and BiostatisticsSchool of Public Health, Imperial College LondonLondonUK
- Medical Research Council Biostatistics UnitUniversity of CambridgeCambridgeUK
| | - Stephen Burgess
- Medical Research Council Biostatistics UnitUniversity of CambridgeCambridgeUK
- Cardiovascular Epidemiology UnitUniversity of CambridgeCambridgeUK
| | - Evangelos Evangelou
- Department of Hygiene and EpidemiologyUniversity of Ioannina School of MedicineIoanninaGreece
- Department of Epidemiology and BiostatisticsSchool of Public Health, Imperial College LondonLondonUK
- Department of Biomedical Research, Institute of Molecular Biology and BiotechnologyFoundation for Research and Technology‐HellasIoanninaGreece
| | - Konstantinos K. Tsilidis
- Department of Hygiene and EpidemiologyUniversity of Ioannina School of MedicineIoanninaGreece
- Department of Epidemiology and BiostatisticsSchool of Public Health, Imperial College LondonLondonUK
| | - Ioanna Tzoulaki
- Department of Epidemiology and BiostatisticsSchool of Public Health, Imperial College LondonLondonUK
- Centre for Systems Biology, Biomedical Research FoundationAcademy of AthensAthensGreece
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3
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Kong F, Huang J, Xu C, Huang T, Wen G, Cheng W. System inflammation response index: a novel inflammatory indicator to predict all-cause and cardiovascular disease mortality in the obese population. Diabetol Metab Syndr 2023; 15:195. [PMID: 37821960 PMCID: PMC10566161 DOI: 10.1186/s13098-023-01178-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/26/2023] [Accepted: 10/01/2023] [Indexed: 10/13/2023] Open
Abstract
AIM This study aims to investigate the relationship between two novel inflammatory markers, namely, the Systemic Inflammatory Response Index (SIRI) and the Systemic Immune Inflammatory Index (SII), as well as the all-cause and cardiovascular disease (CVD) mortality in the obese population. MATERIALS AND METHODS We conducted a prospective cohort study based on the data of 13,026 obese adults (age ≥ 18 years) from the National Health and Nutrition Examination Survey (NHANES) from 1999 to 2014 and followed until December 2019. SIRI was calculated by the formula: (neutrophil count × monocyte count) / lymphocyte count, while that of SII was: (platelet count × neutrophil count)/lymphocyte count. The association of SIRI and SII with all-cause and CVD mortality was evaluated using Cox regression. In addition, the nomogram was performed to predict 10-year survival probability. RESULTS During a median follow-up of 137 months, 1959 and 553 all-cause and CVD deaths were recorded, respectively. Spearman correlation analysis indicated that SIRI and SII were unrelated to almost all baseline characteristics (r < 0.15). Multivariate Cox regression models displayed that each standard deviation (SD) increase in SIRI was associated with a 16% (HR 1.16; 95% CI 1.09-1.24) and 22% (HR 1.22; 95% CI 1.10-1.36) increase in the risk of all-cause and CVD mortality, respectively. Likewise, every SD increase in SII was correlated with a 9% (HR 1.09; 95% CI 1.02-1.16) and 14% (HR 1.14; 95% CI 1.04-1.26) increase in the risk of all-cause and CVD mortality, respectively. The predictive value of SIRI for all-cause and CVD mortality (AUC = 0.601 and 0.624) exceeded that of SII (AUC = 0.528 and 0.539). Moreover, the nomogram displayed a substantial predictive value for 10-year survival (AUC = 0.847) with sensitivity and specificity exceeding 75%. CONCLUSIONS In the obese population, SIRI and SII are independent risk factors for all-cause and CVD mortality. Notably, the predictive ability of SIRI for both all-cause and CVD mortality significantly outperforms that of SII, suggesting that SIRI is a more valuable marker of inflammation.
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Affiliation(s)
- Fanliang Kong
- University Medical Center of Göttingen, Georg-August University, Göttingen, Germany
| | - Junhao Huang
- Department of Metabolic and Bariatric Surgery, The First Affiliated Hospital of Jinan University, Guangzhou, Guangdong Province, China
- Department of Plastic Surgery, The First Affiliated Hospital of Jinan University, Guangzhou, Guangdong Province, China
- Department of Gastrointestinal Surgery, The First Affiliated Hospital of Jinan University, Guangzhou, Guangdong Province, China
| | - Chunhua Xu
- Department of Recuperation, Lintong Rehabilitation, and Recuperation Center, Xian, Shaanxi, China
| | - Tingyuan Huang
- Department of Oncology, Affiliated Cancer Hospital & Institute of Guangzhou Medical University, Guangzhou, China
| | - Grace Wen
- University Medical Center of Göttingen, Georg-August University, Göttingen, Germany
| | - Wenke Cheng
- Medical Faculty, University of Leipzig, Leipzig, Germany.
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Liu F, Yang P, Wang Y, Shi M, Wang R, Xu Q, Peng Y, Chen J, Zhang J, Wang A, Xu T, Zhang Y, He J. HS-CRP Modifies the Prognostic Value of Platelet Count for Clinical Outcomes After Ischemic Stroke. J Am Heart Assoc 2023:e030007. [PMID: 37449575 PMCID: PMC10382093 DOI: 10.1161/jaha.123.030007] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/27/2023] [Accepted: 05/24/2023] [Indexed: 07/18/2023]
Abstract
Background We examined whether the relationship between baseline platelet count and clinical outcomes is modulated by HS-CRP (high-sensitivity C-reactive protein) in patients with ischemic stroke. Methods and Results A total of 3267 patients with ischemic stroke were included in the analysis. The primary outcome was a combination of death and major disability at 1 year after ischemic stroke. Secondary outcomes included major disability, death, vascular events, composite outcome of vascular events or death, and an ordered 7-level categorical score of the modified Rankin Scale at 1 year. Multivariate logistic regression and Cox proportional hazards regression models were used to assess the association between the baseline platelet count and clinical outcomes stratified by HS-CRP levels when appropriate. There was an interaction effect of platelet count and HS-CRP on the adverse clinical outcomes after ischemic stroke (all Pinteraction<0.05). The elevated platelet count was significantly associated with the primary outcome (odds ratio [OR], 3.14 [95% CI, 1.77-5.58]), major disability (OR, 2.07 [95% CI, 1.15-3.71]), death (hazard ratio [HR], 2.75 [95% CI, 1.31-5.79]), and composite outcome of vascular events or death (HR, 2.57 [95% CI, 1.38-4.87]) among patients with high HS-CRP levels (all Ptrend<0.05). Conclusions The HS-CRP levels had a modifying effect on the association between platelet count and clinical outcomes in patients with ischemic stroke. Elevated platelet count was significantly associated with adverse clinical outcomes in patients with ischemic stroke with high HS-CRP levels, but not in those with low HS-CRP levels. These findings suggest that strategies for anti-inflammatory and antiplatelet therapy should be developed according to the results of both platelet and HS-CRP testing.
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Affiliation(s)
- Fanghua Liu
- Department of Epidemiology, School of Public Health and Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases Suzhou Medical College of Soochow University Suzhou China
| | - Pinni Yang
- Department of Epidemiology, School of Public Health and Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases Suzhou Medical College of Soochow University Suzhou China
| | - Yinan Wang
- Department of Epidemiology, School of Public Health and Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases Suzhou Medical College of Soochow University Suzhou China
| | - Mengyao Shi
- Department of Epidemiology, School of Public Health and Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases Suzhou Medical College of Soochow University Suzhou China
- Department of Epidemiology Tulane University School of Public Health and Tropical Medicine New Orleans LA
| | - Ruirui Wang
- Department of Epidemiology, School of Public Health and Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases Suzhou Medical College of Soochow University Suzhou China
| | - Qingyun Xu
- Department of Epidemiology, School of Public Health and Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases Suzhou Medical College of Soochow University Suzhou China
| | - Yanbo Peng
- Department of Neurology Affiliated Hospital of North China University of Science and Technology Tangshan Hebei China
| | - Jing Chen
- Department of Epidemiology Tulane University School of Public Health and Tropical Medicine New Orleans LA
- Department of Medicine Tulane University School of Medicine New Orleans LA
| | - Jintao Zhang
- Department of Neurology The 960th Hospital of People's Liberation Army Jinan Shandong China
| | - Aili Wang
- Department of Epidemiology, School of Public Health and Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases Suzhou Medical College of Soochow University Suzhou China
| | - Tan Xu
- Department of Epidemiology, School of Public Health and Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases Suzhou Medical College of Soochow University Suzhou China
| | - Yonghong Zhang
- Department of Epidemiology, School of Public Health and Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases Suzhou Medical College of Soochow University Suzhou China
| | - Jiang He
- Department of Epidemiology Tulane University School of Public Health and Tropical Medicine New Orleans LA
- Department of Medicine Tulane University School of Medicine New Orleans LA
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Xiu J, Lin X, Chen Q, Yu P, Lu J, Yang Y, Chen W, Bao K, Wang J, Zhu J, Zhang X, Pan Y, Tu J, Chen K, Chen L. The aggregate index of systemic inflammation (AISI): a novel predictor for hypertension. Front Cardiovasc Med 2023; 10:1163900. [PMID: 37265570 PMCID: PMC10229810 DOI: 10.3389/fcvm.2023.1163900] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2023] [Accepted: 04/24/2023] [Indexed: 06/03/2023] Open
Abstract
Objective Inflammation plays an important role in the pathophysiology of hypertension (HTN). Aggregate index of systemic inflammation (AISI), as a new inflammatory and prognostic marker has emerged recently. Our goal was to determine whether there was a relationship between HTN and AISI. Methods We analyzed patients with HTN from the National Health and Nutrition Examination Survey (NHANES) from 1999 to 2018. The primary end point was cardiovascular mortality. A total of 23,765 participants were divided into four groups according to the AISI quartile level. The association between AISI and cardiovascular mortality in patients with HTN was assessed by survival curves and Cox regression analyses based on NHANES recommended weights. Results High levels of AISI were significantly associated with cardiovascular mortality in patients with HTN. After full adjustment for confounders, there was no significant difference in the risk of cardiovascular mortality in Q2 and Q3 compared to Q1, while Q4 (HR: 1.91, 95% CI: 1.42-2.58; P < 0.001) had a higher risk of cardiovascular mortality compared to Q1. Results remained similar in subgroup analyses stratified by age (P for interaction = 0.568), gender (P for interaction = 0.059), and obesity (P for interaction = 0.289). Conclusions In adults with HTN, elevated AISI levels are significantly associated with an increased risk of cardiovascular mortality and may serve as an early warning parameter for poor prognosis.
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Affiliation(s)
- Jiaming Xiu
- Department of Cardiology, Longyan First Affiliated Hospital of Fujian Medical University, Longyan, China
- The Third Clinical Medical College, Fujian Medical University, Fuzhou, China
| | - Xueqin Lin
- Department of Cardiology, Longyan First Affiliated Hospital of Fujian Medical University, Longyan, China
- The Third Clinical Medical College, Fujian Medical University, Fuzhou, China
| | - Qiansheng Chen
- Department of Cardiology, Longyan First Affiliated Hospital of Fujian Medical University, Longyan, China
| | - Pei Yu
- Department of Cardiology, Longyan First Affiliated Hospital of Fujian Medical University, Longyan, China
- The Third Clinical Medical College, Fujian Medical University, Fuzhou, China
| | - Jin Lu
- Department of Cardiology, Longyan First Affiliated Hospital of Fujian Medical University, Longyan, China
- The Third Clinical Medical College, Fujian Medical University, Fuzhou, China
| | - Yanfang Yang
- Department of Cardiology, Longyan First Affiliated Hospital of Fujian Medical University, Longyan, China
- The Third Clinical Medical College, Fujian Medical University, Fuzhou, China
| | - Weihua Chen
- Department of Cardiology, Longyan First Affiliated Hospital of Fujian Medical University, Longyan, China
- The Third Clinical Medical College, Fujian Medical University, Fuzhou, China
| | - Kunming Bao
- Department of Cardiology, Longyan First Affiliated Hospital of Fujian Medical University, Longyan, China
| | - Junjie Wang
- Department of Cardiology, Fuzhou First Affiliated Hospital of Fujian Medical University, Fuzhou, China
| | - Jinlong Zhu
- Department of Cardiology, Longyan First Affiliated Hospital of Fujian Medical University, Longyan, China
- The Third Clinical Medical College, Fujian Medical University, Fuzhou, China
| | - Xiaoying Zhang
- Department of Cardiology, Longyan First Affiliated Hospital of Fujian Medical University, Longyan, China
- The Third Clinical Medical College, Fujian Medical University, Fuzhou, China
| | - Yuxiong Pan
- Department of Cardiology, Longyan First Affiliated Hospital of Fujian Medical University, Longyan, China
| | - Jiabin Tu
- Department of Cardiology, Longyan First Affiliated Hospital of Fujian Medical University, Longyan, China
- The Third Clinical Medical College, Fujian Medical University, Fuzhou, China
| | - Kaihong Chen
- Department of Cardiology, Longyan First Affiliated Hospital of Fujian Medical University, Longyan, China
| | - Liling Chen
- Department of Cardiology, Longyan First Affiliated Hospital of Fujian Medical University, Longyan, China
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Xu Y, Guo Y. Platelet indices and blood pressure: a multivariable mendelian randomization study. Thromb J 2023; 21:31. [PMID: 36941692 PMCID: PMC10026509 DOI: 10.1186/s12959-023-00475-6] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2022] [Accepted: 03/10/2023] [Indexed: 03/23/2023] Open
Abstract
BACKGROUND Platelet indices are blood-based parameters reflecting the activation of platelets. Previous studies have identified an association between platelet indices and blood pressure (BP). However, causal inferences are prone to bias by confounding effects and reverse causation. We performed a Mendelian randomization (MR) study to compare the causal roles between genetically determined platelet indices and BP levels. METHODS Single-nucleotide polymorphisms (SNPs) associated with platelet count (PLT), plateletcrit (PCT), mean platelet volume (MPV), platelet distribution width (PDW), and BP at the level of genome-wide significance (p < 5 × 10- 8) in the UK Biobank were used as instrumental variables. In bidirectional univariable MR analyses, inverse variance-weighted (IVW), MR‒Egger, and weighted median methods were used to obtain estimates for individual causal power. In addition, heterogeneity and sensitivity analyses were performed to examine the pleiotropy of effect estimates. Finally, multivariable MR analyses were undertaken to disentangle the comparative effects of four platelet indices on BP. RESULTS In the univariable MR analyses, increased levels of PLT and PCT were associated with higher BP, and PDW was associated with higher DBP alone. In the reverse direction, SBP had a minor influence on PLT and PCT. In multivariable MR analysis, PDW and PLT revealed an independent effect, whereas the association for PCT and MPV was insignificant after colinear correction. CONCLUSION These findings suggest that platelets and BP may affect each other. PDW and PLT are independent platelet indices influencing BP. Increased platelet activation and aggregation may be involved in the pathogenesis of hypertension, which may provide insights into evaluating thromboembolic events in people with high BP. The necessity of initiating antiplatelet therapy among hypertension groups needs further investigation.
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Affiliation(s)
- Yuhan Xu
- School of Medicine, Southeast University, Nanjing, Jiangsu Province, 210009, China
- Department of Neurology, Affiliated ZhongDa Hospital of Southeast University, Nanjing, China
| | - Yijing Guo
- School of Medicine, Southeast University, Nanjing, Jiangsu Province, 210009, China.
- Department of Neurology, Affiliated ZhongDa Hospital of Southeast University, Nanjing, China.
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7
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Yue Q, Yang P, Ma X, Shu Z, Yang L, Wu Y, Tang Y, Luo X, Wu S, Li Y. The Mediating Role of Systemic Inflammation in the Effects of Fetal Famine Exposure on Cardiovascular Disease in Adults: A Cohort Study. J Nutr 2023; 153:1389-1397. [PMID: 36858258 DOI: 10.1016/j.tjnut.2023.02.031] [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: 10/13/2022] [Revised: 01/25/2023] [Accepted: 02/23/2023] [Indexed: 03/02/2023] Open
Abstract
BACKGROUND A few studies have reported the association between famine exposure during fetal development and risk of CVD, but no mechanisms have been explored. OBJECTIVES The objective of this study was to examine risk of CVD in adulthood after exposure to famine during the fetal stage and explore the mediating role of systemic inflammation. METHODS A total of 59,416 participants of the Kailuan Study without CVD were included. All participants were divided into 3 groups based on date of birth, including the unexposed group (1963-1974), the fetal-exposed group (1959-1962), and the childhood-exposed group (1949-1958). Systemic immune-inflammation index (SII) (neutrophils × platelets / lymphocytes) and systemic inflammatory response index (SIRI) (neutrophils × monocytes / lymphocytes) are 2 novel systemic inflammation indexes that represent the level of systemic inflammation. Time-weighted Cox regression was used to test the effect of famine exposure on risk of CVD, and a mediation model was used to calculate the role of systemic inflammation. RESULTS During a median follow-up period of 12.36 (12.69, 13.16) y, a total of 3772 cases of CVD were documented. Compared with unexposed participants, the fetal-exposed group had an increased risk of CVD (HR: 1.19; 95% CI: 1.04, 1.38) and stroke (HR: 1.28; 95% CI: 1.09, 1.51) but not MI. No association was observed in the childhood-exposed group. In mediation analysis, SII mediated an estimated 24.43% of the association between fetal exposure and CVD (24.61% for stroke and 23.27% for MI). For SIRI, this percentage was 30.20% for CVD (29.94% for stroke and 31.25% of MI). CONCLUSIONS Fetal exposure to famine may increase risk of CVD in adulthood. Systemic inflammation may play an intermediary role in the effect of fetal famine exposure on CVD. J Nutr 2023;xx:xx-xx.
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Affiliation(s)
- Qing Yue
- School of Public Health, North China University of Science and Technology, Tangshan, China
| | - Peng Yang
- Department of Neurosurgery, Affiliated Hospital of North China University of Science and Technology, Tangshan, China
| | - Xiaoxu Ma
- School of Public Health, North China University of Science and Technology, Tangshan, China
| | - Zhe Shu
- School of Public Health, North China University of Science and Technology, Tangshan, China
| | - Ling Yang
- School of Public Health, North China University of Science and Technology, Tangshan, China
| | - Yuntao Wu
- Department of Cardiology, Kailuan General Hospital, Tangshan, China
| | - Yongmei Tang
- School of Public Health, North China University of Science and Technology, Tangshan, China
| | - Xiaoyan Luo
- Department of Emergency, Kailuan General Hospital, Tangshan, China
| | - Shouling Wu
- Department of Cardiology, Kailuan General Hospital, Tangshan, China.
| | - Yun Li
- School of Public Health, North China University of Science and Technology, Tangshan, China.
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8
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Joshi A, Bhambhani A, Barure R, Gonuguntla S, Sarathi V, Attia AM, Shrestha AB, Jaiswal V. Neutrophil-lymphocyte ratio and platelet-lymphocyte ratio as markers of stable ischemic heart disease in diabetic patients: An observational study. Medicine (Baltimore) 2023; 102:e32735. [PMID: 36749238 PMCID: PMC9902008 DOI: 10.1097/md.0000000000032735] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/08/2023] Open
Abstract
Ischemic heart disease (IHD) is a pressing public health concern with high prevalence, mortality, and morbidity. Although the value of neutrophil-lymphocyte ratio (NLR) and platelet-lymphocyte ratio (PLR) as markers of the acute coronary syndrome are well recognized, there is a paucity of data deciphering their role in screening for stable ischemic heart disease (SIHD) in the presence of type 2 diabetes mellitus (T2DM). The present study investigates the value of NLR and PLR as markers of SIHD in T2DM. We evaluated the predictive value of NLR and PLR for SIHD by comparing T2DM patients having angiographically proven SIHD to T2DM patients without IHD at different cutoff levels by evaluating the area under the curve (AUC) obtained from receiver-operating-characteristic analysis. Raised NLR and PLR were significantly associated with SIHD ( P < .001 for each). On performing AUC-receiver-operating-characteristic analysis, NLR of > 2.39 and PLR of > 68.80 were associated with the highest prevalence of SIHD (NLR, AUC: 0.652 [0.605-0.699]; CI: 95%; P < .001, PLR, AUC: 0.623 [0.575-0.671] CI: 95%; P < .001). The sensitivities and specificities for these cutoff values were 50% and 73% for NLR and 73% and 46% for PLR, respectively. NLR and PLR were significantly higher in SIHD compared to those without; however, these markers had limited predictive potential in the setting of T2DM.
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Affiliation(s)
- Amey Joshi
- Department of Cardiology, Vydehi Institute of Medical Sciences and Research Center, Whitefield, Bangalore, Karnataka, India
| | - Anupam Bhambhani
- Department of Cardiology, Vydehi Institute of Medical Sciences and Research Center, Whitefield, Bangalore, Karnataka, India
| | - Ramdas Barure
- Department of Endocrinology, Vydehi Institute of Medical Sciences and Research Center, Whitefield, Bangalore, Karnataka, India
| | - Samhitha Gonuguntla
- Department of Cardiology, Vydehi Institute of Medical Sciences and Research Center, Whitefield, Bangalore, Karnataka, India
| | - Vijaya Sarathi
- Department of Endocrinology, Vydehi Institute of Medical Sciences and Research Center, Whitefield, Bangalore, Karnataka, India
| | | | - Abhigan Babu Shrestha
- Department of Medicine, M Abdur Rahim Medical College, Dinajpur, Bangladesh
- * Correspondence: Abhigan Babu Shrestha, Department of Medicine, M Abdur Rahim Medical College, Dinajpur 5200, Bangladesh (e-mail: )
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9
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Goudswaard LJ, Corbin LJ, Burley KL, Mumford A, Akbari P, Soranzo N, Butterworth AS, Watkins NA, Pournaras DJ, Harris J, Timpson NJ, Hers I. Higher body mass index raises immature platelet count: potential contribution to obesity-related thrombosis. Platelets 2022; 33:869-878. [PMID: 35068290 DOI: 10.1080/09537104.2021.2003317] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2021] [Revised: 10/08/2021] [Accepted: 10/21/2021] [Indexed: 02/02/2023]
Abstract
Higher body mass index (BMI) is a risk factor for thrombosis. Platelets are essential for hemostasis but contribute to thrombosis when activated pathologically. We hypothesized that higher BMI leads to changes in platelet characteristics, thereby increasing thrombotic risk. The effect of BMI on platelet traits (measured by Sysmex) was explored in 33 388 UK blood donors (INTERVAL study). Linear regression showed that higher BMI was positively associated with greater plateletcrit (PCT), platelet count (PLT), immature platelet count (IPC), and side fluorescence (SFL, a measure of mRNA content used to derive IPC). Mendelian randomization (MR), applied to estimate a causal effect with BMI proxied by a genetic risk score, provided causal estimates for a positive effect of BMI on both SFL and IPC, but there was little evidence for a causal effect of BMI on PCT or PLT. Follow-up analyses explored the functional relevance of platelet characteristics in a pre-operative cardiac cohort (COPTIC). Linear regression provided observational evidence for a positive association between IPC and agonist-induced whole blood platelet aggregation. Results indicate that higher BMI raises the number of immature platelets, which is associated with greater whole blood platelet aggregation in a cardiac cohort. Higher IPC could therefore contribute to obesity-related thrombosis.
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Affiliation(s)
- Lucy J Goudswaard
- School of Physiology, Pharmacology and Neuroscience, University of Bristol, Bristol, UK
- Bristol Heart Institute, Bristol, UK
- Medical Research Council (MRC) Integrative Epidemiology Unit at the University of Bristol, Bristol, UK
- Department of Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Laura J Corbin
- Medical Research Council (MRC) Integrative Epidemiology Unit at the University of Bristol, Bristol, UK
- Department of Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Kate L Burley
- School of Physiology, Pharmacology and Neuroscience, University of Bristol, Bristol, UK
| | - Andrew Mumford
- School of Cellular and Molecular Medicine, University of Bristol, Bristol, UK
| | - Parsa Akbari
- Department of Public Health and Primary Care, British Heart Foundation Cardiovascular Epidemiology Unit, University of Cambridge, Cambridge, UK
- National Institute for Health Research Blood and Transplant Research Unit (NIHR BTRU) in Donor Health and Genomics, University of Cambridge, Cambridge, UK
- MRC Biostatistics Unit, University of Cambridge, Cambridge, UK
- Human Genetics, Wellcome Sanger Institute, Hinxton, UK
| | - Nicole Soranzo
- National Institute for Health Research Blood and Transplant Research Unit (NIHR BTRU) in Donor Health and Genomics, University of Cambridge, Cambridge, UK
- Human Genetics, Wellcome Sanger Institute, Hinxton, UK
- Department of Haematology, School of Clinical Medicine, University of Cambridge, Cambridge, UK
| | - Adam S Butterworth
- Department of Public Health and Primary Care, British Heart Foundation Cardiovascular Epidemiology Unit, University of Cambridge, Cambridge, UK
- National Institute for Health Research Blood and Transplant Research Unit (NIHR BTRU) in Donor Health and Genomics, University of Cambridge, Cambridge, UK
- British Heart Foundation Centre of Research Excellence, University of Cambridge, Cambridge, UK
- NIHR Cambridge Biomedical Research Centre, University of Cambridge and Cambridge University Hospitals, Cambridge, UK
- Health Data Research UK Cambridge, Wellcome Genome Campus and University of Cambridge, Cambridge, UK
| | | | - Dimitri J Pournaras
- Department of Bariatric and Metabolic Surgery, Southmead Hospital, North Bristol NHS Trust, Bristol, UK
| | - Jessica Harris
- Bristol Trials Centre, Faculty of Health Sciences, University of Bristol, Bristol, UK
| | - Nicholas J Timpson
- Medical Research Council (MRC) Integrative Epidemiology Unit at the University of Bristol, Bristol, UK
- Department of Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Ingeborg Hers
- School of Physiology, Pharmacology and Neuroscience, University of Bristol, Bristol, UK
- Bristol Heart Institute, Bristol, UK
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10
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Gallego-Fabrega C, Muiño E, Cárcel-Márquez J, Llucià-Carol L, Lledós M, Martín-Campos JM, Cullell N, Fernández-Cadenas I. Genome-Wide Studies in Ischaemic Stroke: Are Genetics Only Useful for Finding Genes? Int J Mol Sci 2022; 23:6840. [PMID: 35743317 PMCID: PMC9224543 DOI: 10.3390/ijms23126840] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2022] [Revised: 05/31/2022] [Accepted: 06/01/2022] [Indexed: 02/07/2023] Open
Abstract
Ischaemic stroke is a complex disease with some degree of heritability. This means that heritability factors, such as genetics, could be risk factors for ischaemic stroke. The era of genome-wide studies has revealed some of these heritable risk factors, although the data generated by these studies may also be useful in other disciplines. Analysis of these data can be used to understand the biological mechanisms associated with stroke risk and stroke outcome, to determine the causality between stroke and other diseases without the need for expensive clinical trials, or to find potential drug targets with higher success rates than other strategies. In this review we will discuss several of the most relevant studies regarding the genetics of ischaemic stroke and the potential use of the data generated.
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Affiliation(s)
- Cristina Gallego-Fabrega
- Stroke Pharmacogenomics and Genetics Group, Institut de Recerca de l’Hospital de la Santa Creu i Sant Pau, 08041 Barcelona, Spain; (C.G.-F.); (E.M.); (J.C.-M.); (L.L.-C.); (M.L.); (J.M.M.-C.); (N.C.)
| | - Elena Muiño
- Stroke Pharmacogenomics and Genetics Group, Institut de Recerca de l’Hospital de la Santa Creu i Sant Pau, 08041 Barcelona, Spain; (C.G.-F.); (E.M.); (J.C.-M.); (L.L.-C.); (M.L.); (J.M.M.-C.); (N.C.)
| | - Jara Cárcel-Márquez
- Stroke Pharmacogenomics and Genetics Group, Institut de Recerca de l’Hospital de la Santa Creu i Sant Pau, 08041 Barcelona, Spain; (C.G.-F.); (E.M.); (J.C.-M.); (L.L.-C.); (M.L.); (J.M.M.-C.); (N.C.)
| | - Laia Llucià-Carol
- Stroke Pharmacogenomics and Genetics Group, Institut de Recerca de l’Hospital de la Santa Creu i Sant Pau, 08041 Barcelona, Spain; (C.G.-F.); (E.M.); (J.C.-M.); (L.L.-C.); (M.L.); (J.M.M.-C.); (N.C.)
- Institute for Biomedical Research of Barcelona (IIBB), National Spanish Research Council (CSIC), 08036 Barcelona, Spain
- Departament de Genètica i de Microbiologia, Universitat Autònoma de Barcelona, 08193 Bellaterra, Spain
| | - Miquel Lledós
- Stroke Pharmacogenomics and Genetics Group, Institut de Recerca de l’Hospital de la Santa Creu i Sant Pau, 08041 Barcelona, Spain; (C.G.-F.); (E.M.); (J.C.-M.); (L.L.-C.); (M.L.); (J.M.M.-C.); (N.C.)
| | - Jesús M. Martín-Campos
- Stroke Pharmacogenomics and Genetics Group, Institut de Recerca de l’Hospital de la Santa Creu i Sant Pau, 08041 Barcelona, Spain; (C.G.-F.); (E.M.); (J.C.-M.); (L.L.-C.); (M.L.); (J.M.M.-C.); (N.C.)
| | - Natalia Cullell
- Stroke Pharmacogenomics and Genetics Group, Institut de Recerca de l’Hospital de la Santa Creu i Sant Pau, 08041 Barcelona, Spain; (C.G.-F.); (E.M.); (J.C.-M.); (L.L.-C.); (M.L.); (J.M.M.-C.); (N.C.)
| | - Israel Fernández-Cadenas
- Stroke Pharmacogenomics and Genetics Group, Institut de Recerca de l’Hospital de la Santa Creu i Sant Pau, 08041 Barcelona, Spain; (C.G.-F.); (E.M.); (J.C.-M.); (L.L.-C.); (M.L.); (J.M.M.-C.); (N.C.)
- Stroke Pharmacogenomics and Genetics Group, Fundació MútuaTerrassa per la Docència i la Recerca, 08221 Terrassa, Spain
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11
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Bryzgalov LO, Korbolina EE, Damarov IS, Merkulova TI. The functional insight into the genetics of cardiovascular disease: results from the post-GWAS study. Vavilovskii Zhurnal Genet Selektsii 2022; 26:65-73. [PMID: 35342858 PMCID: PMC8892170 DOI: 10.18699/vjgb-22-10] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2021] [Revised: 11/22/2021] [Accepted: 11/23/2021] [Indexed: 11/19/2022] Open
Abstract
Cardiovascular diseases (CVDs), the leading cause of death worldwide, generally refer to a range of pathological conditions with the involvement of the heart and the blood vessels. A sizable fraction of the susceptibility loci is known, but the underlying mechanisms have been established only for a small proportion. Therefore, there is an increasing need to explore the functional relevance of trait-associated variants and, moreover, to search for novel risk genetic variation. We have reported the bioinformatic approach allowing effective identification of functional non-coding variants by integrated analysis of genome-wide data. Here, the analysis of 1361 previously identified regulatory SNPs (rSNPs) was performed to provide new insights into cardiovascular risk. We found 773,471 coding co-segregating markers for input rSNPs using the 1000 Genomes Project. The intersection of GWAS-derived SNPs with a relevance to cardiovascular traits with these markers was analyzed within a window of 10 Kbp. The effects on the transcription factor (TF) binding sites were explored by DeFine models. Functional pathway enrichment and protein– protein interaction (PPI) network analyses were performed on the targets and the extended genes by STRING and DAVID. Eighteen rSNPs were functionally linked to cardiovascular risk. A significant impact on binding sites of thirteen TFs including those involved in blood cells formation, hematopoiesis, macrophage function, inflammation, and vasoconstriction was found in K562 cells. 21 rSNP gene targets and 5 partners predicted by PPI were enriched for spliceosome and endocytosis KEGG pathways, endosome sorting complex and mRNA splicing REACTOME pathways. Related Gene Ontology terms included mRNA splicing and processing, endosome transport and protein catabolic processes. Together, the findings provide further insight into the biological basis of CVDs and highlight the importance of the precise regulation of splicing and alternative splicing.
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Affiliation(s)
- L. O. Bryzgalov
- Institute of Cytology and Genetics of the Siberian Branch of the Russian Academy of Sciences
| | - E. E. Korbolina
- Institute of Cytology and Genetics of the Siberian Branch of the Russian Academy of Sciences
| | - I. S. Damarov
- Institute of Cytology and Genetics of the Siberian Branch of the Russian Academy of Sciences
| | - T. I. Merkulova
- Institute of Cytology and Genetics of the Siberian Branch of the Russian Academy of Sciences; Novosibirsk State University
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12
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Schooling CM, Au Yeung SL, Zhao JV. Exploring pleiotropic effects of lipid modifiers on coagulation and hemostasis with genetics. Thromb Haemost 2021; 122:1296-1303. [PMID: 34852378 DOI: 10.1055/a-1711-0946] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
Abstract
BACKGROUND Statins have long been suspected to have pleiotropic effects via thrombotic factors. Randomized controlled trials are too limited to be definitive. We examined the associations of genetically mimicking effects of statins, PCSK9 inhibitors and alternative lipid targets (in genes LDLR, APOC3, and LPL) on key indicators of coagulation system function, i.e., prothrombin time (PT) and activated partial thromboplastin time (aPTT). METHODS We assessed the effect of established genetic mimics of effects of lipid modifiers and alternative lipid treatment targets on PT (n=58,110) and aPTT (n=37,767), all transformed to z-scores, using Mendelian randomization taking advantage of Biobank Japan. Ischemic heart disease (IHD) was a control outcome. RESULTS Genetically mimicked effects of statins increased PT by 0.31 standard deviation (SD) per SD increase in LDL (95% confidence interval (CI) 0.10 to 0.51) based on rs12916 but did not affect aPTT. Genetically mimicking effects of targeting LDLR increased PT based on rs688 (0.33 SD per SD increase in TG, 95% CI 0.03 to 0.63) but did not affect aPTT. Genetically mimicking effects of PCSK9 inhibitors or targeting APOC3, or LPL had no effect on PT or aPTT. Genetically mimicking effects of statins, PCSK9 inhibitors and alternative lipid targets reduced risk of IHD in Biobank Japan. CONCLUSION Statins, and possibly targeting LDLR, may also act via a coagulation cascade factor, likely specific to the extrinsic or common pathway. Further elucidation of the mechanistic pathway may facilitate development of new interventions and inform use of statins particularly in relation to use of other anticoagulants.
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Affiliation(s)
- C Mary Schooling
- CUNY School of Public Health, New York, United States.,University of Hong Kong, Hong Kong, Hong Kong
| | | | - J V Zhao
- University of Hong Kong, Hong Kong, Hong Kong
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13
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Sanzana S, Rodríguez L, Barraza Barrionuevo H, Albornoz Poblete C, Maróstica Junior MR, Fuentes E, Palomo I. Antiplatelet Activity of Cucurbita maxima. J Med Food 2021; 24:1197-1205. [PMID: 34463138 DOI: 10.1089/jmf.2021.0006] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022] Open
Abstract
Natural extracts constitute an important source in the prevention of noncommunicable diseases, such as cardiovascular diseases. The pumpkin, Cucurbita maxima, is widely consumed in Chile. Pumpkin seeds, despite having crude protein, lipids, and carbohydrates, are regarded as agro-industrial waste. In this work, we correlated the antiplatelet activity of aqueous, ethanolic, and methanolic extracts from pumpkin seeds with their bioactive compounds. In vitro platelet aggregation and activation studies were performed by turbidimetry and flow cytometry, respectively. Results reveal that the extracts inhibited, in a dose-dependent manner, platelet aggregation induced by adenosine diphosphate, thrombin receptor activator peptide 6 (TRAP-6), and collagen. Pumpkin seed extracts inhibited P-selectin secretion and glycoprotein IIb/IIIa activation on TRAP-6-activated platelets. They were found to be rich in fatty acids and a powerful source of plant-based protein, which could be related to the high antiplatelet potential identified in extracts. This research demonstrated that pumpkin seed extracts could be a candidate in the prevention of thrombotic events.
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Affiliation(s)
- Sigrid Sanzana
- Department of Medical Technology, Faculty of Health Sciences, University of Antofagasta, Antofagasta, Chile
| | - Lyanne Rodríguez
- Thrombosis Research Center, Medical Technology School, Department of Clinical Biochemistry and Immunohematology, Faculty of Health Sciences, Universidad de Talca, Talca, Chile
| | - Hayleen Barraza Barrionuevo
- Department of Food and Nutrition Sciences, Faculty of Health Sciences, University of Antofagasta, Antofagasta, Chile
| | - César Albornoz Poblete
- Department of Food and Nutrition Sciences, Faculty of Health Sciences, University of Antofagasta, Antofagasta, Chile
| | - Mário Roberto Maróstica Junior
- Ibero-American Network for the Integrated Use of Underutilized Indigenous Foods (ALSUB-CYTED).,School of Food Engineering, University of Campinas, Campinas, São Paulo, Brazil.,University of Campinas (UNICAMP), Faculty of School Engineering (FEA), Campinas, São Paulo, Brazil
| | - Eduardo Fuentes
- Thrombosis Research Center, Medical Technology School, Department of Clinical Biochemistry and Immunohematology, Faculty of Health Sciences, Universidad de Talca, Talca, Chile
| | - Iván Palomo
- Thrombosis Research Center, Medical Technology School, Department of Clinical Biochemistry and Immunohematology, Faculty of Health Sciences, Universidad de Talca, Talca, Chile
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14
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Georgakis MK, Gill D. Mendelian Randomization Studies in Stroke: Exploration of Risk Factors and Drug Targets With Human Genetic Data. Stroke 2021; 52:2992-3003. [PMID: 34399585 DOI: 10.1161/strokeaha.120.032617] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
Elucidating the causes of stroke is key to developing effective preventive strategies. The Mendelian randomization approach leverages genetic variants related to an exposure of interest to investigate the effects of varying that exposure on disease risk. The random allocation of genetic variants at conception reduces confounding from environmental factors and thus strengthens causal inference, analogous to treatment allocation in a randomized controlled trial. With the recent explosion in the availability of human genetic data, Mendelian randomization has proven a valuable tool for studying risk factors for stroke. In this review, we provide an overview of recent developments in the application of Mendelian randomization to unravel the pathophysiology of stroke subtypes and identify therapeutic targets for clinical translation. The approach has offered novel insight into the differential effects of risk factors and antihypertensive, lipid-lowering, and anticoagulant drug classes on risk of stroke subtypes. Analyses have further facilitated the prioritization of novel drug targets, such as for inflammatory pathways underlying large artery atherosclerotic stroke and for the coagulation cascade that contributes to cardioembolic stroke. With continued methodological advances coupled with the rapidly increasing availability of genetic data related to a broad range of stroke phenotypes, the potential for Mendelian randomization in this context is expanding exponentially.
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Affiliation(s)
- Marios K Georgakis
- Institute for Stroke and Dementia Research (ISD) (M.K.G.), University Hospital of Ludwig Maximilians-University (LMU), Munich, Germany.,Department of Neurology (M.K.G.), University Hospital of Ludwig Maximilians-University (LMU), Munich, Germany
| | - Dipender Gill
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, United Kingdom (D.G.).,Clinical Pharmacology and Therapeutics Section, Institute of Medical and Biomedical Education and Institute for Infection and Immunity, St George's, University of London, United Kingdom (D.G.).,Clinical Pharmacology Group, Pharmacy and Medicines Directorate, St George's University Hospitals NHS Foundation Trust, London, United Kingdom (D.G.).,Novo Nordisk Research Centre Oxford, Old Road Campus, United Kingdom (D.G.)
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15
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Acosta JN, Szejko N, Falcone GJ. Mendelian Randomization in Stroke: A Powerful Approach to Causal Inference and Drug Target Validation. Front Genet 2021; 12:683082. [PMID: 34456968 PMCID: PMC8387928 DOI: 10.3389/fgene.2021.683082] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2021] [Accepted: 06/28/2021] [Indexed: 02/06/2023] Open
Abstract
Stroke is a leading cause of death and disability worldwide. However, our understanding of its underlying biology and the number of available treatment options remain limited. Mendelian randomization (MR) offers a powerful approach to identify novel biological pathways and therapeutic targets for this disease. Around ~100 MR studies have been conducted so far to explore, confirm, and quantify causal relationships between several exposures and risk of stroke. In this review, we summarize the current evidence arising from these studies, including those investigating ischemic stroke, hemorrhagic stroke, or both. We highlight the different types of exposures that are currently under study, ranging from well-known cardiovascular risk factors to less established inflammation-related mechanisms. Finally, we provide an overview of future avenues of research and novel approaches, including drug target validation MR, which is poised to have a substantial impact on drug development and drug repurposing.
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Affiliation(s)
- Julián N. Acosta
- Division of Neurocritical Care and Emergency Neurology, Department of Neurology, Yale School of Medicine, New Haven, CT, United States
| | - Natalia Szejko
- Division of Neurocritical Care and Emergency Neurology, Department of Neurology, Yale School of Medicine, New Haven, CT, United States
- Department of Neurology, Medical University of Warsaw, Warsaw, Poland
- Department of Bioethics, Medical University of Warsaw, Warsaw, Poland
| | - Guido J. Falcone
- Division of Neurocritical Care and Emergency Neurology, Department of Neurology, Yale School of Medicine, New Haven, CT, United States
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16
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Lin S, Zhang L, Shen S, Wei D, Lu J, Chen X, Chen Q, Xia X, Xiu Q. Platelet Parameters and Risk of Hypertension disorders of Pregnancy: a Propensity Score Adjusted Analysis. Platelets 2021; 33:543-550. [PMID: 34223796 DOI: 10.1080/09537104.2021.1945569] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
Abstract
While the role of platelets in cardiovascular diseases among the general population has been widely reported, evidence is inconsistent regarding the association between platelet indices with hypertension in pregnant women. In this study, we explored the associations between platelet parameters before 20 gestational weeks, an understudied period, with hypertensive disorders of pregnancy (HDP), including preeclampsia/eclampsia (PEEC) and gestational hypertension (GH). Based on the Born in Guangzhou Cohort Study, 12053 singleton pregnant women with platelet parameters, including platelet count (PC), mean platelet volume (MPV), plateletcrit (PCT), and platelet distribution width (PDW) measured at 14-19 gestational weeks were included. Conventional multivariable adjustment and propensity score analysis were used to control for confounders. The restricted cubic spline showed that the risk of PEEC increased linearly for PC, and non-linearly for PCT. For GH, the risk increased linearly for PC, MPV, and PCT, and non-linearly for PDW. When these indices were categorized into quintiles, women with higher PC and PCT were associated with increased risk of both PEEC and GH. Women with MPV exceeding the second quintile (≥ 8.8 fL) had a greater risk for GH, but not for PEEC. When HDP was classified into two groups (early- vs late-onset) based on the occurrence time, significant associations persisted for early-onset PEEC, early-onset GH, and late-onset GH. In conclusion, increased PC and PCT before 20 weeks of gestation were both associated with higher risk of PEEC and GH, while elevated MPV was only linked to GH.
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Affiliation(s)
- Shanshan Lin
- Division of Birth Cohort Study, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, Guangdong, China
| | - Lifang Zhang
- Division of Birth Cohort Study, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, Guangdong, China.,Department of Women and Child Health Care and Provincial Key Clinical Specialty of Woman and Child Health, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangdong, China
| | - Songying Shen
- Division of Birth Cohort Study, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, Guangdong, China.,Department of Women and Child Health Care and Provincial Key Clinical Specialty of Woman and Child Health, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangdong, China
| | - Dongmei Wei
- Division of Birth Cohort Study, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, Guangdong, China.,Department of Women and Child Health Care and Provincial Key Clinical Specialty of Woman and Child Health, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangdong, China
| | - Jinhua Lu
- Division of Birth Cohort Study, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, Guangdong, China.,Department of Women and Child Health Care and Provincial Key Clinical Specialty of Woman and Child Health, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangdong, China
| | - Xiaojuan Chen
- Department of Clinical Laboratory, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China
| | - Qiaozhu Chen
- Department of Obstetrics and Gynecology, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China
| | - Xiaoyan Xia
- Division of Birth Cohort Study, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, Guangdong, China.,Department of Women and Child Health Care and Provincial Key Clinical Specialty of Woman and Child Health, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangdong, China
| | - Qiu Xiu
- Division of Birth Cohort Study, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, Guangdong, China.,Department of Women and Child Health Care and Provincial Key Clinical Specialty of Woman and Child Health, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangdong, China.,Department of Obstetrics and Gynecology, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China
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17
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Abstract
BACKGROUND Beyond their success in cardiovascular disease prevention, statins are increasingly recognized to have sex-specific pleiotropic effects. To gain additional insight, we characterized associations of genetically mimicked statins across the phenotype sex-specifically. We also assessed whether any apparently non-lipid effects identified extended to genetically mimicking other widely used lipid modifiers (proprotein convertase subtilisin/kexin type 9 (PCSK9) inhibitors and ezetimibe) or were a consequence of low-density lipoprotein cholesterol (LDL-c). METHODS We performed a sex-specific phenome-wide association study assessing the association of genetic variants in HMGCR, mimicking statins, with 1701 phenotypes. We used Mendelian randomization (MR) to assess if any non-lipid effects found were evident for genetically mimicked PCSK9 inhibitors and ezetimibe or for LDL-c. RESULTS As expected, genetically mimicking statins was inversely associated with LDL-c, apolipoprotein B (ApoB), and total cholesterol (TC) and positively associated with glycated hemoglobin (HbA1c) and was related to body composition. Genetically mimicking statins was also inversely associated with serum calcium, sex hormone-binding globulin (SHBG), and platelet count and positively associated with basal metabolic rate (BMR) and mean platelet volume. Stronger associations with genetically mimicked statins were evident for women than men for lipid traits (LDL-c, ApoB, and TC), calcium, and SHBG, but not for platelet attributes, body composition, or BMR. Genetically mimicking PCSK9 inhibitors or ezetimibe was also associated with lower lipids, but was not related to calcium, SHBG, BMR, or body composition. Genetically higher LDL-c increased lipids and decreased BMR, but did not affect calcium, HbA1c, platelet attributes, or SHBG with minor effects on body composition. CONCLUSIONS Similar inverse associations were found for genetically mimicking statins on lipid traits in men and women as for other lipid modifiers. Besides the positive associations with HbA1c, BMI (which may explain the higher BMR), and aspects of body composition in men and women, genetically mimicking statins was additionally associated with platelet attributes in both sexes and was inversely associated with serum calcium and SHBG in women. This genetic evidence suggests potential pathways that contribute to the effects of statins particularly in women. Further investigation is needed to confirm these findings and their implications for clinical practice.
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Jia Y, Guo D, Zhang K, Yang P, Zang Y, Sun L, Wang Y, Liu F, Shi M, Zhang Y, Zhu Z. Causal associations of serum matrix metalloproteinase-8 level with ischaemic stroke and ischaemic stroke subtypes: a Mendelian randomization study. Eur J Neurol 2021; 28:2543-2551. [PMID: 33894037 DOI: 10.1111/ene.14878] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2021] [Accepted: 04/17/2021] [Indexed: 11/28/2022]
Abstract
BACKGROUND AND PURPOSE Elevated serum matrix metalloproteinase-8 (MMP-8) concentrations are associated with high risk of vascular disease, but the causality remains unclear. A two-sample Mendelian randomization (MR) study was performed to examine the causal effect of serum MMP-8 concentrations on the risk of ischaemic stroke, ischaemic stroke subtypes and coronary artery disease. METHODS Ten independent single-nucleotide polymorphisms related to serum MMP-8 concentrations were identified as instrumental variables from a genome-wide association study of 6049 European subjects. Genetic association estimates for ischaemic stroke were obtained from the Multiancestry Genome-wide Association Study of Stroke consortium with 446,696 European individuals. The inverse-variance weighted method was applied to assess the causal associations of serum MMP-8 with ischaemic stroke and its subtypes in the main analysis. RESULTS No significant causal association was observed for MMP-8 levels with total ischaemic stroke, large artery stroke or cardioembolic stroke. Genetically determined 1 - unit higher log-transformed serum MMP-8 concentration was associated with an increased risk of small vessel stroke (odds ratio 1.25; 95% confidence interval 1.12-1.39; p < 0.001). In secondary analysis, a similar adverse impact was reported for MMP-8 on coronary artery disease (odds ratio 1.05; 95% confidence interval 1.01-1.10; p = 0.017). Sensitivity analyses further confirmed the relationship between serum MMP-8 level and small vessel stroke and coronary artery disease. Mendelian randomization Egger regression showed no evidence of pleiotropic bias. CONCLUSIONS High serum MMP-8 concentrations were causally associated with increased risks of small vessel stroke and coronary artery disease. The mechanism underlying the effect of serum MMP-8 on the vascular system requires further investigation.
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Affiliation(s)
- Yiming Jia
- Department of Epidemiology, School of Public Health and Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Medical College of Soochow University, Suzhou, China
| | - Daoxia Guo
- School of Nursing, Medical College of Soochow University, Suzhou, China.,Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA, USA
| | - Kaixin Zhang
- Department of Epidemiology, School of Public Health and Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Medical College of Soochow University, Suzhou, China
| | - Pinni Yang
- Department of Epidemiology, School of Public Health and Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Medical College of Soochow University, Suzhou, China
| | - Yuhan Zang
- Department of Epidemiology, School of Public Health and Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Medical College of Soochow University, Suzhou, China
| | - Lulu Sun
- Department of Epidemiology, School of Public Health and Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Medical College of Soochow University, Suzhou, China
| | - Yu Wang
- Department of Epidemiology, School of Public Health and Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Medical College of Soochow University, Suzhou, China
| | - Fanghua Liu
- Department of Epidemiology, School of Public Health and Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Medical College of Soochow University, Suzhou, China
| | - Mengyao Shi
- Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA, USA
| | - Yonghong Zhang
- Department of Epidemiology, School of Public Health and Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Medical College of Soochow University, Suzhou, China
| | - Zhengbao Zhu
- Department of Epidemiology, School of Public Health and Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Medical College of Soochow University, Suzhou, China.,Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA, USA
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Systemic immune-inflammation index and incident cardiovascular diseases among middle-aged and elderly Chinese adults: The Dongfeng-Tongji cohort study. Atherosclerosis 2021; 323:20-29. [PMID: 33773161 DOI: 10.1016/j.atherosclerosis.2021.02.012] [Citation(s) in RCA: 74] [Impact Index Per Article: 24.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/21/2020] [Revised: 12/31/2020] [Accepted: 02/17/2021] [Indexed: 12/13/2022]
Abstract
BACKGROUND AND AIMS Systemic immune-inflammation index (SII) has been recently investigated as a novel inflammatory and prognostic marker. SII may be used as an indicator reflecting the progressive inflammatory process in atherosclerosis, although its link to incident cardiovascular disease (CVD) has not been examined in previous studies. This study aims to prospectively assess the association of SII with incident CVD and its main subtypes in Chinese adults. METHODS Using data from the Dongfeng-Tongji cohort study, 13,929 middle-aged and older adults with a mean age of 62.56 years (range 35-91 years), who were free of CVD and cancer, were included for analysis. The baseline study was conducted in Shiyan city, Hubei province from 2008 to 2009. The SII was calculated as platelet count (/L) × neutrophil count (/L)/lymphocyte count (/L). Cox regression models were used to examine the associations of SII with incident CVD, including stroke and coronary heart disease (CHD). RESULTS Over a median 8.28 years (maximum 8.98 years) of follow-up, 3386 total CVD cases, including 801 stroke cases and 2585 total CHD cases, were identified. In multivariable Cox regression analyses, higher levels of log-transformed SII were significantly associated with total stroke (HR 1.224, 95% CI 1.065-1.407) and ischemic stroke (HR 1.234, 95% CI 1.055-1.442). For those participants with the highest quartiles of SII versus the lowest quartiles of SII, the HRs were 1.358 (95% CI 1.112-1.658) for total stroke, 1.302 (95% CI 1.041-1.629) for ischemic stroke, and 1.600 (95% CI 1.029-2.490) for hemorrhagic stroke. CONCLUSIONS SII may serve as a useful marker to elucidate the role of the interaction of thrombocytosis, inflammation, and immunity in the development of cerebrovascular diseases in the middle-aged and elderly population.
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Hernáez Á, Lassale C, Castro-Barquero S, Ros E, Tresserra-Rimbau A, Castañer O, Pintó X, Vázquez-Ruiz Z, Sorlí JV, Salas-Salvadó J, Lapetra J, Gómez-Gracia E, Alonso-Gómez ÁM, Fiol M, Serra-Majem L, Sacanella E, Razquin C, Corella D, Guasch-Ferré M, Cofán M, Estruch R. Mediterranean Diet Maintained Platelet Count within a Healthy Range and Decreased Thrombocytopenia-Related Mortality Risk: A Randomized Controlled Trial. Nutrients 2021; 13:559. [PMID: 33567733 PMCID: PMC7915168 DOI: 10.3390/nu13020559] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2021] [Revised: 02/03/2021] [Accepted: 02/03/2021] [Indexed: 12/18/2022] Open
Abstract
There is little information on the dietary modulation of thrombosis-related risk factors such as platelet count. We aimed to assess the effects of Mediterranean diet (MedDiet) on platelet count and related outcomes in an older population at high cardiovascular risk. In participants of the PREDIMED (PREvención con DIeta MEDiterránea) study, we assessed whether an intervention with a MedDiet enriched with extra-virgin olive oil or nuts, relative to a low-fat control diet, modulated platelet count (n = 4189), the risk of developing thrombocytosis and thrombocytopenia (n = 3086), and the association between these alterations and all-cause mortality (median follow-up time: 3.0 years). Although platelet count increased over time (+0.98·109 units/L·year [95% confidence interval: 0.12; 1.84]), MedDiet interventions moderated this increase, particularly in individuals with near-high baseline count (both MedDiets combined: -3.20·109 units/L·year [-5.81; -0.59]). Thrombocytopenia incidence was lower in the MedDiet interventions (incidence rates: 2.23% in control diet, 0.91% in MedDiets combined; hazard ratio: 0.44 [0.23; 0.83]). Finally, thrombocytopenia was associated with a higher risk of all-cause mortality (hazard ratio: 4.71 [2.69; 8.24]), but this relationship was attenuated in those allocated to MedDiet (p-interaction = 0.018). In brief, MedDiet maintained platelet counts within a healthy range and attenuated platelet-related mortality in older adults at high cardiovascular risk.
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Affiliation(s)
- Álvaro Hernáez
- August Pi i Sunyer Biomedical Research Institute (IDIBAPS), 08036 Barcelona, Spain; (S.C.-B.); (E.R.); (E.S.); (M.C.); (R.E.)
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, 28029 Madrid, Spain; (C.L.); (A.T.-R.); (O.C.); (X.P.); (Z.V.-R.); (J.V.S.); (J.S.-S.); (J.L.); (Á.M.A.-G.); (M.F.); (L.S.-M.); (C.R.); (D.C.); (M.G.-F.)
- Blanquerna School of Health Sciences, Universitat Ramon Llull, 08025 Barcelona, Spain
- Centre for Fertility and Health (CeFH), Norwegian Institute of Public Health, 0473 Oslo, Norway
| | - Camille Lassale
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, 28029 Madrid, Spain; (C.L.); (A.T.-R.); (O.C.); (X.P.); (Z.V.-R.); (J.V.S.); (J.S.-S.); (J.L.); (Á.M.A.-G.); (M.F.); (L.S.-M.); (C.R.); (D.C.); (M.G.-F.)
- Cardiovascular Risk and Nutrition Research Group, Hospital del Mar Medical Research Institute (IMIM), 08003 Barcelona, Spain
| | - Sara Castro-Barquero
- August Pi i Sunyer Biomedical Research Institute (IDIBAPS), 08036 Barcelona, Spain; (S.C.-B.); (E.R.); (E.S.); (M.C.); (R.E.)
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, 28029 Madrid, Spain; (C.L.); (A.T.-R.); (O.C.); (X.P.); (Z.V.-R.); (J.V.S.); (J.S.-S.); (J.L.); (Á.M.A.-G.); (M.F.); (L.S.-M.); (C.R.); (D.C.); (M.G.-F.)
- Department of Medicine, Faculty of Medicine and Health Sciences, University of Barcelona, 08036 Barcelona, Spain
| | - Emilio Ros
- August Pi i Sunyer Biomedical Research Institute (IDIBAPS), 08036 Barcelona, Spain; (S.C.-B.); (E.R.); (E.S.); (M.C.); (R.E.)
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, 28029 Madrid, Spain; (C.L.); (A.T.-R.); (O.C.); (X.P.); (Z.V.-R.); (J.V.S.); (J.S.-S.); (J.L.); (Á.M.A.-G.); (M.F.); (L.S.-M.); (C.R.); (D.C.); (M.G.-F.)
- Lipid Clinic, Endocrinology and Nutrition Service, Hospital Clínic, 08036 Barcelona, Spain
| | - Anna Tresserra-Rimbau
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, 28029 Madrid, Spain; (C.L.); (A.T.-R.); (O.C.); (X.P.); (Z.V.-R.); (J.V.S.); (J.S.-S.); (J.L.); (Á.M.A.-G.); (M.F.); (L.S.-M.); (C.R.); (D.C.); (M.G.-F.)
- Department of Nutrition, Food Science and Gastronomy, XaRTA, INSA, Faculty of Pharmacy and Food Sciences, University of Barcelona, 08028 Barcelona, Spain
- Unitat de Nutrició Humana, Departament de Bioquimica i Biotecnologia, Universitat Rovira i Virgili, Hospital Universitari Sant Joan de Reus, 43201 Reus, Spain
- Institut d’Investigació Pere Virgili (IISPV), 43204 Reus, Spain
| | - Olga Castañer
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, 28029 Madrid, Spain; (C.L.); (A.T.-R.); (O.C.); (X.P.); (Z.V.-R.); (J.V.S.); (J.S.-S.); (J.L.); (Á.M.A.-G.); (M.F.); (L.S.-M.); (C.R.); (D.C.); (M.G.-F.)
- Cardiovascular Risk and Nutrition Research Group, Hospital del Mar Medical Research Institute (IMIM), 08003 Barcelona, Spain
| | - Xavier Pintó
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, 28029 Madrid, Spain; (C.L.); (A.T.-R.); (O.C.); (X.P.); (Z.V.-R.); (J.V.S.); (J.S.-S.); (J.L.); (Á.M.A.-G.); (M.F.); (L.S.-M.); (C.R.); (D.C.); (M.G.-F.)
- Lipids and Vascular Risk Unit, Internal Medicine Service, Hospital Universitario de Bellvitge, 08907 L’Hospitalet de Llobregat, Spain
| | - Zenaida Vázquez-Ruiz
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, 28029 Madrid, Spain; (C.L.); (A.T.-R.); (O.C.); (X.P.); (Z.V.-R.); (J.V.S.); (J.S.-S.); (J.L.); (Á.M.A.-G.); (M.F.); (L.S.-M.); (C.R.); (D.C.); (M.G.-F.)
- Department of Preventive Medicine and Public Health, Universidad de Navarra, 31008 Pamplona, Spain
| | - José V. Sorlí
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, 28029 Madrid, Spain; (C.L.); (A.T.-R.); (O.C.); (X.P.); (Z.V.-R.); (J.V.S.); (J.S.-S.); (J.L.); (Á.M.A.-G.); (M.F.); (L.S.-M.); (C.R.); (D.C.); (M.G.-F.)
- Department of Preventive Medicine, Universidad de Valencia, 46010 Valencia, Spain
| | - Jordi Salas-Salvadó
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, 28029 Madrid, Spain; (C.L.); (A.T.-R.); (O.C.); (X.P.); (Z.V.-R.); (J.V.S.); (J.S.-S.); (J.L.); (Á.M.A.-G.); (M.F.); (L.S.-M.); (C.R.); (D.C.); (M.G.-F.)
- Unitat de Nutrició Humana, Departament de Bioquimica i Biotecnologia, Universitat Rovira i Virgili, Hospital Universitari Sant Joan de Reus, 43201 Reus, Spain
- Institut d’Investigació Pere Virgili (IISPV), 43204 Reus, Spain
| | - José Lapetra
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, 28029 Madrid, Spain; (C.L.); (A.T.-R.); (O.C.); (X.P.); (Z.V.-R.); (J.V.S.); (J.S.-S.); (J.L.); (Á.M.A.-G.); (M.F.); (L.S.-M.); (C.R.); (D.C.); (M.G.-F.)
- Research Unit, Department of Family Medicine, Distrito Sanitario Atención Primaria Sevilla, 41013 Sevilla, Spain
| | - Enrique Gómez-Gracia
- Department of Preventive Medicine and Public Health, Universidad de Málaga, 29071 Málaga, Spain;
| | - Ángel M. Alonso-Gómez
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, 28029 Madrid, Spain; (C.L.); (A.T.-R.); (O.C.); (X.P.); (Z.V.-R.); (J.V.S.); (J.S.-S.); (J.L.); (Á.M.A.-G.); (M.F.); (L.S.-M.); (C.R.); (D.C.); (M.G.-F.)
- Bioaraba Health Research Institute, Osakidetza Basque Health Service, Araba University Hospital, University of the Basque Country UPV/EHU, 01009 Vitoria-Gasteiz, Spain
| | - Miquel Fiol
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, 28029 Madrid, Spain; (C.L.); (A.T.-R.); (O.C.); (X.P.); (Z.V.-R.); (J.V.S.); (J.S.-S.); (J.L.); (Á.M.A.-G.); (M.F.); (L.S.-M.); (C.R.); (D.C.); (M.G.-F.)
- Health Research Institute of the Balearic Islands (IdISBa), Hospital Son Espases, 07120 Palma de Mallorca, Spain
| | - Lluis Serra-Majem
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, 28029 Madrid, Spain; (C.L.); (A.T.-R.); (O.C.); (X.P.); (Z.V.-R.); (J.V.S.); (J.S.-S.); (J.L.); (Á.M.A.-G.); (M.F.); (L.S.-M.); (C.R.); (D.C.); (M.G.-F.)
- Instituto de Investigaciones Biomédicas y Sanitarias, Universidad de Las Palmas de Gran Canaria, 35016 Las Palmas, Spain
- Centro Hospitalario Universitario Insular Materno Infantil (CHUIMI), Servicio Canario de Salud, 35016 Las Palmas, Spain
| | - Emilio Sacanella
- August Pi i Sunyer Biomedical Research Institute (IDIBAPS), 08036 Barcelona, Spain; (S.C.-B.); (E.R.); (E.S.); (M.C.); (R.E.)
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, 28029 Madrid, Spain; (C.L.); (A.T.-R.); (O.C.); (X.P.); (Z.V.-R.); (J.V.S.); (J.S.-S.); (J.L.); (Á.M.A.-G.); (M.F.); (L.S.-M.); (C.R.); (D.C.); (M.G.-F.)
- Department of Medicine, Faculty of Medicine and Health Sciences, University of Barcelona, 08036 Barcelona, Spain
- Internal Medicine Service, Hospital Clínic, 08036 Barcelona, Spain
| | - Cristina Razquin
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, 28029 Madrid, Spain; (C.L.); (A.T.-R.); (O.C.); (X.P.); (Z.V.-R.); (J.V.S.); (J.S.-S.); (J.L.); (Á.M.A.-G.); (M.F.); (L.S.-M.); (C.R.); (D.C.); (M.G.-F.)
- Department of Preventive Medicine and Public Health, Universidad de Navarra, 31008 Pamplona, Spain
- Department of Endocrinology and Nutrition, Complejo Hospitalario de Navarra, 31008 Pamplona, Spain
| | - Dolores Corella
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, 28029 Madrid, Spain; (C.L.); (A.T.-R.); (O.C.); (X.P.); (Z.V.-R.); (J.V.S.); (J.S.-S.); (J.L.); (Á.M.A.-G.); (M.F.); (L.S.-M.); (C.R.); (D.C.); (M.G.-F.)
- Department of Preventive Medicine, Universidad de Valencia, 46010 Valencia, Spain
| | - Marta Guasch-Ferré
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, 28029 Madrid, Spain; (C.L.); (A.T.-R.); (O.C.); (X.P.); (Z.V.-R.); (J.V.S.); (J.S.-S.); (J.L.); (Á.M.A.-G.); (M.F.); (L.S.-M.); (C.R.); (D.C.); (M.G.-F.)
- Institut d’Investigació Pere Virgili (IISPV), 43204 Reus, Spain
- Department of Nutrition, Harvard TH Chan School of Public Health, Boston, MA 02115, USA
| | - Montserrat Cofán
- August Pi i Sunyer Biomedical Research Institute (IDIBAPS), 08036 Barcelona, Spain; (S.C.-B.); (E.R.); (E.S.); (M.C.); (R.E.)
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, 28029 Madrid, Spain; (C.L.); (A.T.-R.); (O.C.); (X.P.); (Z.V.-R.); (J.V.S.); (J.S.-S.); (J.L.); (Á.M.A.-G.); (M.F.); (L.S.-M.); (C.R.); (D.C.); (M.G.-F.)
- Lipid Clinic, Endocrinology and Nutrition Service, Hospital Clínic, 08036 Barcelona, Spain
| | - Ramón Estruch
- August Pi i Sunyer Biomedical Research Institute (IDIBAPS), 08036 Barcelona, Spain; (S.C.-B.); (E.R.); (E.S.); (M.C.); (R.E.)
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, 28029 Madrid, Spain; (C.L.); (A.T.-R.); (O.C.); (X.P.); (Z.V.-R.); (J.V.S.); (J.S.-S.); (J.L.); (Á.M.A.-G.); (M.F.); (L.S.-M.); (C.R.); (D.C.); (M.G.-F.)
- Department of Medicine, Faculty of Medicine and Health Sciences, University of Barcelona, 08036 Barcelona, Spain
- Internal Medicine Service, Hospital Clínic, 08036 Barcelona, Spain
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Hsu LA, Chou HH, Teng MS, Wu S, Ko YL. Circulating chemerin levels are determined through circulating platelet counts in nondiabetic Taiwanese people: A bidirectional Mendelian randomization study. Atherosclerosis 2021; 320:61-69. [PMID: 33545615 DOI: 10.1016/j.atherosclerosis.2021.01.014] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/13/2020] [Revised: 12/19/2020] [Accepted: 01/12/2021] [Indexed: 12/13/2022]
Abstract
BACKGROUND AND AIMS Platelet count (PLT) is a predictor of metabolic and inflammation-related disorders. Platelets can release prochemerin, which acts as a link between coagulation and inflammation and between innate and adaptive immunity. The causal effect between PLT and circulating chemerin level has not been elucidated. METHODS Nondiabetic participants with samples in the Taiwan Biobank were recruited for a genome-wide association study (GWAS) based on PLT (17,037 participants) and chemerin levels (3887 participants). A bidirectional Mendelian randomization (MR) study was conducted to determine the association between circulating PLT and chemerin levels. RESULTS For a GWAS of PLT, 11 gene loci were found to have genome-wide significance. For a GWAS of chemerin levels, two gene loci, RARRES2 and HLADQA2-HLADQB1, were found to have genome-wide significance. Age, sex, body mass index, leukocyte count, hemoglobin, mean blood pressure, hemoglobin A1C, serum total bilirubin, aspartate aminotransferase, triglyceride, and low-density-lipoprotein cholesterol levels, estimated glomerular filtration rate, and circulating chemerin level were found to be independently associated with PLT through a stepwise regression analysis. A bidirectional MR study revealed weighted genetic risk scores (WGRSs) for PLT were significantly associated with chemerin levels by using a two-stage least-square method in a multivariate analysis (p = 0.0031), and no significant association between chemerin level WGRSs and PLT was noted. Sensitivity analysis further revealed no violation of the exclusion-restriction assumption with PLT-determining genotypes on chemerin levels. CONCLUSIONS Through a bidirectional MR analysis, our data revealed that chemerin levels were determined based on circulating PLT. Circulating chemerin levels can be intermediates between PLT and future metabolic and inflammation-related disorders.
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Affiliation(s)
- Lung-An Hsu
- The First Cardiovascular Division, Department of Internal Medicine, Chang Gung Memorial Hospital, Chang Gung University College of Medicine, Taiwan
| | - Hsin-Hua Chou
- Cardiovascular Center and Division of Cardiology, Department of Internal Medicine, Taipei Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation, Taiwan; School of Medicine, Tzu Chi University, Taiwan
| | - Ming-Sheng Teng
- Department of Research, Taipei Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation, Taiwan
| | - Semon Wu
- Department of Life Science, Chinese Culture University, Taiwan
| | - Yu-Lin Ko
- Cardiovascular Center and Division of Cardiology, Department of Internal Medicine, Taipei Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation, Taiwan; School of Medicine, Tzu Chi University, Taiwan; Department of Research, Taipei Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation, Taiwan.
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Jin Z, Wu Q, Chen S, Gao J, Li X, Zhang X, Zhou Y, He D, Cheng Z, Zhu Y, Wu S. The Associations of Two Novel Inflammation Indexes, SII and SIRI with the Risks for Cardiovascular Diseases and All-Cause Mortality: A Ten-Year Follow-Up Study in 85,154 Individuals. J Inflamm Res 2021; 14:131-140. [PMID: 33500649 PMCID: PMC7822090 DOI: 10.2147/jir.s283835] [Citation(s) in RCA: 103] [Impact Index Per Article: 34.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2020] [Accepted: 12/31/2020] [Indexed: 01/12/2023] Open
Abstract
Background SII and SIRI are two novel systemic inflammation indexes that were suggested in predicting poor outcomes in cancers. However, no studies have examined their effect on cardiovascular diseases (CVDs) and all-cause mortality. Thus, this study aims to investigate associations between SII, SIRI, and the risks for CVDs and all-cause mortality. Methods A total of 85,154 participants from the Kailuan cohort were included and followed up for incidents of CVDs (including MI, stroke) and all-cause death for 10 years. Multiple Cox regression was used to calculate the adjusted hazard ratios (HRs). Results During the follow-up period, 4262 stroke events, 1233 MI events, and 7225 all-cause deaths were identified, respectively. Compared with the lowest quantile (Q1) of SII or SIRI, after adjusted for most cardiovascular risk factors, both indexes showed positive associations with the risk for stroke (adjusted HRs in Q4 were 1.264 (95% CI: 1.157,1.382) for SII, 1.194 (95% CI: 1.087,1.313) for SIRI), and all-cause death (adjusted HRs in Q4 were 1.246 (95% CI: 1.165,1.331) for SII, 1.393 (95% CI: 1.296,1.498) for SIRI). Additionally, higher SII and SIRI are also associated with increased risk of hemorrhagic stroke and ischemic stroke. Higher SIRI but not SII exhibited a higher MI risk, the adjusted HR in Q4 was 1.204 (1.013,1.431). The significant association remained after additional adjustment for CRP. Subgroup analysis and sensitivity analysis displayed consistent results except for SIRI with MI, where the association did not arrive at significance in subjects aged ≥60. Conclusion Elevated SII and SIRI increased the risk of stroke, two stroke subtypes, and all-cause death. Higher SIRI, but not SII associated with increased MI incidence, and the association of SIRI was only significant in subjects aged <60.
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Affiliation(s)
- Ziqi Jin
- Department of Epidemiology & Biostatistics, School of Public Health, Zhejiang University, Hangzhou 310058, Zhejiang, People's Republic of China
| | - Qiong Wu
- Department of Epidemiology & Biostatistics, School of Public Health, Zhejiang University, Hangzhou 310058, Zhejiang, People's Republic of China
| | - Shuohua Chen
- Health Care Center, Kailuan Group, Tangshan 063000, People's Republic of China
| | - Jingli Gao
- Department of Intensive Medicine, Kailuan General Hospital, Tangshan 063000, People's Republic of China
| | - Xiaolan Li
- Department of Intensive Medicine, Kailuan General Hospital, Tangshan 063000, People's Republic of China
| | - Xuhui Zhang
- Hangzhou Center for Disease Control and Prevention, Hangzhou 310051, Zhejiang, People's Republic of China
| | - Yaohan Zhou
- Department of Epidemiology & Biostatistics, School of Public Health, Zhejiang University, Hangzhou 310058, Zhejiang, People's Republic of China
| | - Di He
- Department of Epidemiology & Biostatistics, School of Public Health, Zhejiang University, Hangzhou 310058, Zhejiang, People's Republic of China
| | - Zongxue Cheng
- Department of Epidemiology & Biostatistics, School of Public Health, Zhejiang University, Hangzhou 310058, Zhejiang, People's Republic of China
| | - Yimin Zhu
- Department of Epidemiology & Biostatistics, School of Public Health, Zhejiang University, Hangzhou 310058, Zhejiang, People's Republic of China.,Department of Respiratory Diseases, Sir Run Run Shaw Hospital Affiliated to School of Medicine, Zhejiang University, Hangzhou, Zhejiang 310060, People's Republic of China.,Department of Pathology, School of Medicine, Zhejiang University, Hangzhou 310058, Zhejiang, People's Republic of China
| | - Shouling Wu
- Department of Cardiology, Kailuan General Hospital, Tangshan, 063000, People's Republic of China
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Beata Olas, Urbańska K, Bryś M. Selected food colourants with antiplatelet activity as promising compounds for the prophylaxis and treatment of thrombosis. Food Chem Toxicol 2020; 141:111437. [DOI: 10.1016/j.fct.2020.111437] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2020] [Revised: 04/18/2020] [Accepted: 05/12/2020] [Indexed: 12/15/2022]
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Satoh K, Satoh T, Yaoita N, Shimokawa H. Recent Advances in the Understanding of Thrombosis. Arterioscler Thromb Vasc Biol 2020; 39:e159-e165. [PMID: 31116608 DOI: 10.1161/atvbaha.119.312003] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Affiliation(s)
- Kimio Satoh
- From the Department of Cardiovascular Medicine, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Taijyu Satoh
- From the Department of Cardiovascular Medicine, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Nobuhiro Yaoita
- From the Department of Cardiovascular Medicine, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Hiroaki Shimokawa
- From the Department of Cardiovascular Medicine, Tohoku University Graduate School of Medicine, Sendai, Japan
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Warny M, Helby J, Birgens HS, Bojesen SE, Nordestgaard BG. Arterial and venous thrombosis by high platelet count and high hematocrit: 108 521 individuals from the Copenhagen General Population Study. J Thromb Haemost 2019; 17:1898-1911. [PMID: 31309714 DOI: 10.1111/jth.14574] [Citation(s) in RCA: 41] [Impact Index Per Article: 8.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2019] [Accepted: 07/11/2019] [Indexed: 08/31/2023]
Abstract
BACKGROUND It is unclear whether high platelet count or high hematocrit predict risk of thrombosis in individuals from the general population. OBJECTIVES We tested the hypothesis that individuals from the general population with high platelet count or high hematocrit have high risk of arterial and venous thrombosis. METHODS We prospectively followed 108 521 individuals from The Copenhagen General Population Study for a median of 8 years. Platelet count and blood hematocrit were measured at study entry. RESULTS AND CONCLUSION Multivariable adjusted hazard ratios for individuals with platelet counts in the top 5 percentiles (>398 × 109 /L) vs in the 25th-75th percentiles (231-316 × 109 /L) were 1.77 (95% confidence interval [CI], 1.38-2.24) for arterial thrombosis in the brain (38 and 26 events/10 000 person-years) and 0.82 (95%, 0.61-1.11) for arterial thrombosis in the heart (23 and 28 events/10 000 person-years). For individuals with hematocrit values in the top 5 percentiles (women/men: >45/>48%) vs the 25th-75th percentiles (women/men: 38.1-42/41.1-45%), hazard ratios were 1.27 (95% CI, 0.91-1.75) for arterial thrombosis in the brain (40 and 26 events/10 000 person-years) and 1.46 (95% CI, 1.06-2.00) for arterial thrombosis in the heart (43 and 25 events/10 000 person-years). Neither high platelet count nor high hematocrit was associated with risk of venous thromboembolism. When excluding individuals with myeloproliferative neoplasia from the main analyses, results on risk of thrombosis were similar. In this prospective study, high platelet counts were associated with 1.8-fold risk of arterial thrombosis in the brain, whereas high hematocrit was associated with 1.5-fold risk of arterial thrombosis in the heart.
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Affiliation(s)
- Marie Warny
- Department of Hematology, Herlev and Gentofte Hospital, Copenhagen University Hospital, Herlev, Denmark
- Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- The Copenhagen General Population Study, Herlev and Gentofte Hospital, Copenhagen University Hospital, Herlev, Denmark
| | - Jens Helby
- The Copenhagen General Population Study, Herlev and Gentofte Hospital, Copenhagen University Hospital, Herlev, Denmark
- Department of Clinical Biochemistry, Herlev and Gentofte Hospital, Copenhagen University Hospital, Herlev, Denmark
- Department of Internal Medicine, Herlev and Gentofte Hospital, Copenhagen University Hospital, Herlev, Denmark
| | - Henrik S Birgens
- Department of Hematology, Herlev and Gentofte Hospital, Copenhagen University Hospital, Herlev, Denmark
- Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Stig E Bojesen
- Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- The Copenhagen General Population Study, Herlev and Gentofte Hospital, Copenhagen University Hospital, Herlev, Denmark
- Department of Clinical Biochemistry, Herlev and Gentofte Hospital, Copenhagen University Hospital, Herlev, Denmark
| | - Børge G Nordestgaard
- Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- The Copenhagen General Population Study, Herlev and Gentofte Hospital, Copenhagen University Hospital, Herlev, Denmark
- Department of Clinical Biochemistry, Herlev and Gentofte Hospital, Copenhagen University Hospital, Herlev, Denmark
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