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Abulikemu A, Zhang X, Su X, Meng T, Su W, Shi Q, Yu T, Niu Y, Yu H, Yuan H, Zhou C, Yang H, Zhang Y, Wang Y, Dai Y, Duan H. Particulate matter, polycyclic aromatic hydrocarbons and metals, platelet parameters and blood pressure alteration: Multi-pollutants study among population. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 941:173657. [PMID: 38838997 DOI: 10.1016/j.scitotenv.2024.173657] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/06/2023] [Revised: 05/27/2024] [Accepted: 05/28/2024] [Indexed: 06/07/2024]
Abstract
Epidemiological findings have determined the linkage of fine particulate matter (PM2.5) and the morbidity of hypertension. However, the mode of action and specific contribution of PM2.5 component in the blood pressure elevation remain unclear. Platelets are critical for vascular homeostasis and thrombosis, which may be involved in the increase of blood pressure. Among 240 high-PM2.5 exposed, 318 low-PM2.5 exposed workers in a coking plant and 210 workers in the oxygen plant and cold-rolling mill enrolled in present study, both internal and external exposure characteristics were obtained, and we performed linear regression, adaptive elastic net regression, quantile g-computation and mediation analyses to analyze the relationship between urine metabolites of polycyclic aromatic hydrocarbons (PAHs) and metals fractions with platelets indices and blood pressure indicators. We found that PM2.5 exposure leads to increased systolic blood pressure (SBP) and pulse pressure (PP). Specifically, for every 10 μg/m3 increase in PM2.5, there was a 0.09 mmHg rise in PP. Additionally, one IQR increase in urinary 1-hydroxypyrene (1.06 μmol/mol creatinine) was associated with a 3.43 % elevation in PP. Similarly, an IQR increment of urine cobalt (2.31 μmol/mol creatinine) was associated with a separate 1.77 % and 4.71 % elevation of SBP and PP. Notably, platelet-to-lymphocyte ratio (PLR) played a mediating role in the elevation of SBP and PP induced by cobalt. Our multi-pollutants results showed that PAHs and cobalt were deleterious contributors to the elevated blood pressure. These findings deepen our understanding of the cardiovascular effects associated with PM2.5 constituents, highlighting the importance of increased vigilance in monitoring and controlling the harmful components in PM2.5.
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Affiliation(s)
- Alimire Abulikemu
- State Key Laboratory of Trauma and Chemical Poisoning, National Institute for Occupational Health and Poison Control, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Xuewei Zhang
- State Key Laboratory of Trauma and Chemical Poisoning, National Institute for Occupational Health and Poison Control, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Xizi Su
- State Key Laboratory of Trauma and Chemical Poisoning, National Institute for Occupational Health and Poison Control, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Tao Meng
- Institute of Brain Science, Shanxi Datong University, Datong, China
| | - Wenge Su
- Laigang Hospital Affiliated to Taishan Medical University, Jinan, China
| | - Qiwei Shi
- School of Public Health, North China University of Science and Technology, Tangshan, China
| | - Tao Yu
- State Key Laboratory of Trauma and Chemical Poisoning, National Institute for Occupational Health and Poison Control, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Yong Niu
- State Key Laboratory of Trauma and Chemical Poisoning, National Institute for Occupational Health and Poison Control, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Haitao Yu
- Laigang Hospital Affiliated to Taishan Medical University, Jinan, China
| | - Huige Yuan
- State Key Laboratory of Trauma and Chemical Poisoning, National Institute for Occupational Health and Poison Control, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Cailan Zhou
- State Key Laboratory of Trauma and Chemical Poisoning, National Institute for Occupational Health and Poison Control, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Haoying Yang
- State Key Laboratory of Trauma and Chemical Poisoning, National Institute for Occupational Health and Poison Control, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Yanshu Zhang
- School of Public Health, North China University of Science and Technology, Tangshan, China
| | - Yanhua Wang
- State Key Laboratory of Trauma and Chemical Poisoning, National Institute for Occupational Health and Poison Control, Chinese Center for Disease Control and Prevention, Beijing, China; Key Laboratory of Chemical Safety and Health, National Institute for Occupational Health and Poison Control, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Yufei Dai
- State Key Laboratory of Trauma and Chemical Poisoning, National Institute for Occupational Health and Poison Control, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Huawei Duan
- State Key Laboratory of Trauma and Chemical Poisoning, National Institute for Occupational Health and Poison Control, Chinese Center for Disease Control and Prevention, Beijing, China; Key Laboratory of Chemical Safety and Health, National Institute for Occupational Health and Poison Control, Chinese Center for Disease Control and Prevention, Beijing, China.
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Abate E, Degef M, Melkie A, Gnanasekeran N, Mehdi M, Tolcha Y, Chala D. Haematological Parameters in People with Atherosclerotic Cardiovascular Disease versus Those Who are Only at Risk for Cardiovascular Disease: A Comparative Cross-Sectional Study. Diabetes Metab Syndr Obes 2023; 16:1869-1883. [PMID: 37384132 PMCID: PMC10296606 DOI: 10.2147/dmso.s407480] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/01/2023] [Accepted: 06/19/2023] [Indexed: 06/30/2023] Open
Abstract
Introduction Cardiovascular disease (CVD) is the foremost killer disease worldwide. ASCVD is one of the most common types of CVD. It is mainly associated with a condition called atherosclerosis. Its occurrence is linked to several risk factors. Hypertension, diabetes, dyslipidemia, smoking, genetic factors, and so on are examples. The presence of ASCVD, as well as its risk factors, causes a variety of disruptions in the body's physiological and biological functions. The presence of abnormal physiological and biological functions, for example, tends to disrupt hematological parameters. Purpose The study's aim was to assess and compare the pattern of hematological parameters in people with established atherosclerotic cardiovascular disease (ASVD) versus people with ASCVD risks alone who attended TASH Addis Ababa, Ethiopia, as well as to correlate hematological parameters with the novel inflammatory marker hs-CRP. Methods A prospective cross-sectional comparative study with 100 study participants was conducted during where October 2019-March 2020 proposal development, sample collection, and lab analysis period, and from March 2020-June to 2021 data entry, analysis, and writing period. A serum sample was collected from each study participant for the lipid and hsCRP analyses and whole blood for hematological parameter determination. The socio-demographic characteristics of the study participants were obtained through a well-structured questionnaire. Results The ASCVD-risk group had significantly higher mean platelet volume (MPV), which was associated with the presence of the risk. Furthermore, hs-CRPs show a significant correlation with MPV in a correlation analysis of highly sensitive C-reactive protein (hs-CRP) with hematological parameters. Thus, using these affordable, routinely tested, and easily available tests may help to infer future ASCVD risk as well as the presence of ASCVD morbidity while hsCRP level in comparison group vs cases requires further study.
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Affiliation(s)
- Ebsitu Abate
- Department of Medical Biochemistry Addis Ababa University, Addis Ababa, Ethiopia
| | - Maria Degef
- Department of Medical Biochemistry Addis Ababa University, Addis Ababa, Ethiopia
| | - Addisu Melkie
- Department of Internal Medicine, Addis Ababa University, Addis Ababa, Ethiopia
| | - Natesan Gnanasekeran
- Department of Medical Biochemistry Addis Ababa University, Addis Ababa, Ethiopia
| | - Mohammed Mehdi
- Department of Medical Biochemistry Addis Ababa University, Addis Ababa, Ethiopia
| | - Yosef Tolcha
- Department of Diagnostic Laboratory, Ethiopian Public Health Institute, Addis Ababa, Ethiopia
| | - Dawit Chala
- Department of Diagnostic Laboratory, Ethiopian Public Health Institute, Addis Ababa, Ethiopia
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Bernea EG, Suica VI, Uyy E, Cerveanu-Hogas A, Boteanu RM, Ivan L, Ceausu I, Mihai DA, Ionescu-Tîrgoviște C, Antohe F. Exosome Proteomics Reveals the Deregulation of Coagulation, Complement and Lipid Metabolism Proteins in Gestational Diabetes Mellitus. Molecules 2022; 27:molecules27175502. [PMID: 36080270 PMCID: PMC9457917 DOI: 10.3390/molecules27175502] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2022] [Revised: 08/22/2022] [Accepted: 08/25/2022] [Indexed: 11/16/2022] Open
Abstract
Exosomes are small extracellular vesicles with a variable protein cargo in consonance with cell origin and pathophysiological conditions. Gestational diabetes mellitus (GDM) is characterized by different levels of chronic low-grade inflammation and vascular dysfunction; however, there are few data characterizing the serum exosomal protein cargo of GDM patients and associated signaling pathways. Eighteen pregnant women were enrolled in the study: 8 controls (CG) and 10 patients with GDM. Blood samples were collected from patients, for exosomes’ concentration. Protein abundance alterations were demonstrated by relative mass spectrometric analysis and their association with clinical parameters in GDM patients was performed using Pearson’s correlation analysis. The proteomics analysis revealed 78 significantly altered proteins when comparing GDM to CG, related to complement and coagulation cascades, platelet activation, prothrombotic factors and cholesterol metabolism. Down-regulation of Complement C3 (C3), Complement C5 (C5), C4-B (C4B), C4b-binding protein beta chain (C4BPB) and C4b-binding protein alpha chain (C4BPA), and up-regulation of C7, C9 and F12 were found in GDM. Our data indicated significant correlations between factors involved in the pathogenesis of GDM and clinical parameters that may improve the understanding of GDM pathophysiology. Data are available via ProteomeXchange with identifier PXD035673.
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Affiliation(s)
- Elena G. Bernea
- “Prof. N. Paulescu” National Institute of Diabetes, Nutrition and Metabolic Diseases, 020474 Bucharest, Romania
| | - Viorel I. Suica
- Institute of Cellular Biology and Pathology “Nicolae Simionescu”, 050568 Bucharest, Romania
| | - Elena Uyy
- Institute of Cellular Biology and Pathology “Nicolae Simionescu”, 050568 Bucharest, Romania
| | - Aurel Cerveanu-Hogas
- Institute of Cellular Biology and Pathology “Nicolae Simionescu”, 050568 Bucharest, Romania
| | - Raluca M. Boteanu
- Institute of Cellular Biology and Pathology “Nicolae Simionescu”, 050568 Bucharest, Romania
| | - Luminita Ivan
- Institute of Cellular Biology and Pathology “Nicolae Simionescu”, 050568 Bucharest, Romania
| | - Iuliana Ceausu
- University of Medicine and Pharmacy “Carol Davila”, 020021 Bucharest, Romania
- “Dr. I. Cantacuzino” Hospital, 020475 Bucharest, Romania
| | - Doina A. Mihai
- “Prof. N. Paulescu” National Institute of Diabetes, Nutrition and Metabolic Diseases, 020474 Bucharest, Romania
- University of Medicine and Pharmacy “Carol Davila”, 020021 Bucharest, Romania
| | - Constantin Ionescu-Tîrgoviște
- “Prof. N. Paulescu” National Institute of Diabetes, Nutrition and Metabolic Diseases, 020474 Bucharest, Romania
- University of Medicine and Pharmacy “Carol Davila”, 020021 Bucharest, Romania
| | - Felicia Antohe
- Institute of Cellular Biology and Pathology “Nicolae Simionescu”, 050568 Bucharest, Romania
- Correspondence: ; Tel.: +40213194518
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Li L, Yu J, Zhou Z. Platelet-associated parameters in patients with psoriasis: A PRISMA-compliant systematic review and meta-analysis. Medicine (Baltimore) 2021; 100:e28234. [PMID: 34918687 PMCID: PMC10545373 DOI: 10.1097/md.0000000000028234] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/12/2021] [Revised: 11/16/2021] [Accepted: 11/24/2021] [Indexed: 11/26/2022] Open
Abstract
BACKGROUND The relationship between platelet-associated parameters and psoriasis has been controversial. The purpose of our meta-analysis was to assess whether platelet count, platelet-to-lymphocyte ratio (PLR), mean platelet volume (MPV), and platelet distribution width (PDW) are associated with psoriasis. METHODS We performed a thorough documentation retrieval via PubMed, EMBASE, and Web of Science until June 2021. Pooled standardized mean differences (SMDs) and 95% confidence intervals (CIs) were calculated using a random-effects model. RESULTS Overall, 22 studies involving 1749 patients with psoriasis and 1538 healthy controls were selected for the meta-analysis. The outcomes showed that platelet count presented non-significant differences between psoriatic patients and normal individuals (SMD = 0.12, 95% CI = -0.07 to 0.32, P = .210), while PLR (SMD = 0.28, 95% CI = 0.03-0.53, P = .031), MPV (SMD = 0.55, 95% CI = 0.30-0.79, P < .001), and PDW (SMD = 0.29, 95% CI = 0.03-0.55, P = .027) were remarkably greater in the psoriatic patients than in the healthy individuals, and similar results were found in subgroup analyses. The analytical results of susceptibility revealed that the outcomes were robust, and no evidence of substantial publication bias was identified. CONCLUSION Patients with psoriasis present significantly higher PLR, MPV, and PDW than healthy individuals, suggesting that psoriasis is accompanied by low-grade systemic inflammation and platelet activation.
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Affiliation(s)
- Li Li
- Department of Clinical Laboratory, Binhai County People's Hospital, Binhai, Jiangsu, China
| | - Jianxiu Yu
- Department of Clinical Laboratory, Binhai County People's Hospital, Binhai, Jiangsu, China
| | - Zhongwei Zhou
- Department of Clinical Laboratory, Yancheng Third People's Hospital (The Affiliated Yancheng Hospital of Southeast University Medical College, The Sixth Affiliated Hospital of Nantong University, The Yancheng School of Clinical Medicine of Nanjing Medical University), Yancheng, Jiangsu, China
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Li R, Hou J, Tu R, Liu X, Zuo T, Dong X, Pan M, Yin S, Hu K, Mao Z, Huo W, Li S, Guo Y, Chen G, Wang C. Associations of mixture of air pollutants with estimated 10-year atherosclerotic cardiovascular disease risk modified by socio-economic status: The Henan Rural Cohort Study. THE SCIENCE OF THE TOTAL ENVIRONMENT 2021; 793:148542. [PMID: 34174609 DOI: 10.1016/j.scitotenv.2021.148542] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/13/2021] [Revised: 06/05/2021] [Accepted: 06/15/2021] [Indexed: 06/13/2023]
Abstract
BACKGROUND Low socio-economic status (SES) and exposure to single-air pollutant relate to increased prevalent atherosclerotic cardiovascular diseases (ASCVD), however, interactive effect between SES and exposure to single- or multiple-air pollutants on high 10-year ASCVD risk remains unclear. METHODS A total of 31,162 individuals were derived from the Henan Rural Cohort Study. Concentrations of air pollutants (particulate matter with an aerodynamic diameter ≤ 1.0 μm (PM1), ≤2.5 μm (PM2.5) or ≤10 μm (PM10), nitrogen dioxide (NO2)) were assessed using a spatiotemporal model based on satellites data. Independent and joint associations of SES, single- and multiple- air pollutants with high 10-year ASCVD risk were evaluated using logistic regression models, quantile g-computation and structural equation models. The interactive effects of SES and exposure to single- or multiple air pollutants on high 10-year ASCVD risk were visualized by using Interaction plots. RESULTS Exposure to single air pollutant (PM1, PM2.5, PM10 or NO2) related to increased high 10-year ASCVD risk among individuals with low education level or personal average monthly income, compared to the ones with high education level or personal average monthly income. Furthermore, similar results of exposure to mixture of air pollutants with high 10-year ASCVD risk were observed. Positive interactive effects between low SES and exposure to high single air pollutant or the mixture of air pollutants on high 10-year ASCVD risk were observed. CONCLUSION Positive association of low SES with high 10-year ASCVD risk was amplified by exposure to high levels of single air pollutant or a mixture of air pollutants, implying that individuals with low SES may more susceptible to air pollution-related adverse health effect.
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Affiliation(s)
- Ruiying Li
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, PR China
| | - Jian Hou
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, PR China
| | - Runqi Tu
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, PR China
| | - Xiaotian Liu
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, PR China
| | - Tantan Zuo
- Department of Orthopedics, Henan Provincial People's Hospital, Zhengzhou University People's Hospital, Zhengzhou, Henan, PR China
| | - Xiaokang Dong
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, PR China
| | - Mingming Pan
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, PR China
| | - Shanshan Yin
- Department of health policy research, Henan Academy of Medical Sciences, Zhengzhou, PR China
| | - Kai Hu
- Department of health policy research, Henan Academy of Medical Sciences, Zhengzhou, PR China
| | - Zhenxing Mao
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, PR China
| | - Wenqian Huo
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, PR China
| | - Shanshan Li
- Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - Yuming Guo
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, PR China; Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - Gongbo Chen
- Guangdong Provincial Engineering Technology Research Center of Environmental and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou 510080, PR China.
| | - Chongjian Wang
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, PR China.
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Li T, Meng Z, Zhang W, Li Y, Yu X, Du X, Liu M, Zhang Q, Gao Y, Song K, Wang X, Fan Y. No obvious association exists between mean platelet volume and hypertension subtypes. Biomark Med 2021; 15:577-584. [PMID: 33988465 DOI: 10.2217/bmm-2020-0305] [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: 11/21/2022] Open
Abstract
Aims: To determine the association between mean platelet volume (MPV) and hypertension subtypes. Participants & results: 44,281 Chinese individuals were enrolled in this cross-sectional study. The mean blood pressure decreased with increasing MPV in females (p = 0.001) and increased MPV seemed to be a potential protective factor for isolated diastolic hypertension in models 1 and 2. The OR (CI) was 0.878 (0.789-0.976) for model 1 and 0.880 (0.789-0.981) for model 2 in males and 0.646 (0.495-0.841) for model 1 and 0.657 (0.503-0.858) for model 2 in females, when MPV was analyzed as a categorical variable. The OR (CI) was 0.947 (0.911-0.985) for Model 1 and 0.947 (0.910-0.985) for Model 2 in males, and 0.886 (0.807-0.973) for Model 1 and 0.892 (0.813-0.978) for Model 2 in females when MPV was analyzed as a continuous variable. However, the statistical difference of OR disappeared when we added blood-related covariates in Model 3. Conclusion: No obvious association exists between MPV and hypertension subtypes. Other blood parameters might have a greater impact on hypertension subtypes.
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Affiliation(s)
- Tingwei Li
- Department of Nuclear Medicine, Tianjin Medical University General Hospital, Tianjin, 300052, PR China
| | - Zhaowei Meng
- Department of Nuclear Medicine, Tianjin Medical University General Hospital, Tianjin, 300052, PR China
| | - Wenjuan Zhang
- Department of Cardiology, Tianjin Medical University General Hospital, Tianjin, 300052, PR China
| | - Yongle Li
- Department of Cardiology, Tianjin Medical University General Hospital, Tianjin, 300052, PR China
| | - Xuefang Yu
- Department of Cardiology, Tianjin Medical University General Hospital, Tianjin, 300052, PR China
| | - Xin Du
- Department of Cardiology, Tianjin Medical University General Hospital, Tianjin, 300052, PR China
| | - Ming Liu
- Department of Endocrinology & Metabolism, Tianjin Medical University General Hospital, Tianjin, 300052, PR China
| | - Qing Zhang
- Department of Health Management, Tianjin Medical University General Hospital, Tianjin, 300052, PR China
| | - Ying Gao
- Department of Health Management, Tianjin Medical University General Hospital, Tianjin, 300052, PR China
| | - Kun Song
- Department of Health Management, Tianjin Medical University General Hospital, Tianjin, 300052, PR China
| | - Xing Wang
- Department of Health Management, Tianjin Medical University General Hospital, Tianjin, 300052, PR China
| | - Yaguang Fan
- Tianjin Key Laboratory of Lung Cancer Metastasis & Tumor Microenvironment, Tianjin Lung Cancer Institute, Tianjin Medical University General Hospital, Tianjin, 300052, PR China
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Hou J, Duan Y, Liu X, Li R, Tu R, Pan M, Dong X, Mao Z, Huo W, Chen G, Guo Y, Li S, Wang C. Associations of long-term exposure to air pollutants, physical activity and platelet traits of cardiovascular risk in a rural Chinese population. THE SCIENCE OF THE TOTAL ENVIRONMENT 2020; 738:140182. [PMID: 32594998 DOI: 10.1016/j.scitotenv.2020.140182] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/17/2020] [Revised: 06/05/2020] [Accepted: 06/11/2020] [Indexed: 06/11/2023]
Abstract
BACKGROUND Long-term exposure to air pollutants relate to increase risk of cardiovascular diseases that may be partially attributable to platelet dysfunction. Physical activity (PA) may attenuate inflammation to modulate platelet function. Thus, this study aimed to evaluate associations of air pollutants and PA with platelet traits of cardiovascular risk. METHODS A total of 31,282 participants were obtained from the Henan Rural Cohort (n = 39,259). The concentrations of particulate matter (PM) (PM with an aerodynamic diameter ≤1.0 μm (PM1), ≤2.5 μm (PM2.5), or ≤10 μm (PM10)) and nitrogen dioxide (NO2) were evaluated by using a spatiotemporal model incorporated into satellites data. Independent and combined effects of air pollutants and PA on platelet traits were analyzed by linear mixed models. RESULTS Positive associations of PM1, PM2.5, PM10 and NO2 with platelet indices (mean platelet volume (MPV), platelet distribution width (PDW) and platelet large cell ratio (P-LCR), the MPV to platelet counts (PLT) ratio (MPVP)) were observed, whereas negative associations of PM10 and NO2 with PLT or plateletcrit (PCT) were observed; negative interaction effects of PM2.5 PM10 and NO2 and PA on MPV, PDW or P-LCR were found; negative interaction effects of PM1, PM2.5 and PM10 and PA on PCT were observed. CONCLUSIONS Long-term exposure to air pollutants were related to increase platelet size and these associations were attenuated by increased PA, implying that PA is a costless and affordable method to decrease adverse effects on platelet traits in relation to air pollutants.
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Affiliation(s)
- Jian Hou
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, China
| | - Yanying Duan
- Department of Occupational and Environmental Health, Xiangya School of Public Health, Central South University, Changsha 410078, China
| | - Xiaotian Liu
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, China
| | - Ruiying Li
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, China
| | - Runqi Tu
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, China
| | - Mingming Pan
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, China
| | - Xiaokang Dong
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, China
| | - Zhenxing Mao
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, China
| | - Wenqian Huo
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, China
| | - Gongbo Chen
- Department of Global Health, School of Health Sciences, Wuhan University, Wuhan, China
| | - Yuming Guo
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, China; Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - Shanshan Li
- Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia.
| | - Chongjian Wang
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, China.
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Febra C, Macedo A. Diagnostic Role of Mean-Platelet Volume in Acute Pulmonary Embolism: A Meta-analysis and Systematic Review. CLINICAL MEDICINE INSIGHTS-CIRCULATORY RESPIRATORY AND PULMONARY MEDICINE 2020; 14:1179548420956365. [PMID: 33100832 PMCID: PMC7549176 DOI: 10.1177/1179548420956365] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/13/2020] [Accepted: 08/13/2020] [Indexed: 12/14/2022]
Abstract
Background: Acute pulmonary embolism (PE) is the third most fatal cardiovascular disease.
PE is frequently misdiagnosed due to its clinical presentation’s
heterogeneity and the inexistence of biomarkers for its immediate diagnosis.
Mean platelet volume (MPV) has shown a potential role as a biomarker in
acute PE. In this analysis, we aimed to systematically compare the MPV in
patients with and without definite diagnosis of PE, in emergency
departments. Methods: Embase, PubMed and Medline were searched for relevant publications, in
English. The main inclusion criteria were studies which compared MPV in
patients with acute PEA versus a control group. Results: Thirteen studies consisting of a total number of 2428 participants were
included. Of the participants included, 1316 were patients with confirmed
acute PE, and 1112 were assigned to the control group. MPV was significantly
higher in patients with acute PE than in controls (RR: 0.84, 95% CI: 0.76 –
0.92; P < .00001). There was a significant heterogeneity
in the data. Conclusions: This analysis showed higher MPV to be associated with acute PE immediate
diagnosis. These data show promise for the use of MPV as a readily available
biomarker for the diagnosis of acute PE at the emergency department.
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Affiliation(s)
- Cláudia Febra
- Faculdade de Medicina, Universidade do Porto, Porto, Portugal
| | - Ana Macedo
- Keypoint, Consultoria Científica, Lda.,Departamento de Ciências Biomédicas e Medicina, Universidade do Algarve, Faro, Portugal
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Gao E, Hou J, Zhou Y, Ma J, Li T, Zhang J, Wang L, Chen W, Yuan J. Mediation effect of platelet indices on the association of daytime nap duration with 10-year ASCVD risk. Platelets 2020; 32:82-89. [PMID: 32009507 DOI: 10.1080/09537104.2020.1719055] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
Abstract
Daytime nap is associated with the risk of atherosclerotic cardiovascular disease (ASCVD). However, the contribution of platelet to the association of daytime nap with ASCVD remains unclear. We analyzed the mediation effect of abnormal platelet indices on the association between daytime nap and 10-year ASCVD risk. The participants of this study were 2445 adults aged 30 to 74 years without ASCVD from the baseline Wuhan residents (n = 3053) of the Wuhan-Zhuhai (WHZH) Cohort Study. Participants completed the questionnaire and physical examination (including blood pressure, height, weight, and blood biochemical indicators). We assessed the association of daytime nap or nocturnal sleep duration with 10-year ASCVD risk and mediation effects of platelet indices on the associations using generalized linear models (GLM). Individuals with daytime nap duration of 30 or 60 min had a 1.37- (95%CI: 1.05, 1.78) or 1.44- (95%CI: 1.17, 1.78) fold increased risk of 10-year ASCVD compared with non-nappers. As compared with non-nappers, MPV values or MPV/PLT ratio mediated 15.29% or 6.18% of the association of daytime nap duration of 30 min with 10-year ADCVD risk as well as 19.21% or 7.61% of the association of daytime nap duration of 60 min with 10-year ADCVD risk (all p < .05). Platelet might partially contribute to increased 10-year ASCVD risk in individuals with daytime nap duration of 30 or 60 min.
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Affiliation(s)
- Erwei Gao
- Department of Occupational and Environmental Health, Huazhong University of Science and Technology , Wuhan, PR. China.,Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology , Wuhan, PR. China
| | - Jian Hou
- Department of Occupational and Environmental Health, Huazhong University of Science and Technology , Wuhan, PR. China.,Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology , Wuhan, PR. China
| | - Yun Zhou
- Department of Occupational and Environmental Health, Huazhong University of Science and Technology , Wuhan, PR. China.,Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology , Wuhan, PR. China
| | - Jixuan Ma
- Department of Occupational and Environmental Health, Huazhong University of Science and Technology , Wuhan, PR. China.,Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology , Wuhan, PR. China
| | - Tian Li
- Department of Occupational and Environmental Health, Huazhong University of Science and Technology , Wuhan, PR. China.,Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology , Wuhan, PR. China
| | - Jiafei Zhang
- Department of Occupational and Environmental Health, Huazhong University of Science and Technology , Wuhan, PR. China.,Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology , Wuhan, PR. China
| | - Lu Wang
- Department of Occupational and Environmental Health, Huazhong University of Science and Technology , Wuhan, PR. China.,Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology , Wuhan, PR. China
| | - Weihong Chen
- Department of Occupational and Environmental Health, Huazhong University of Science and Technology , Wuhan, PR. China.,Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology , Wuhan, PR. China
| | - Jing Yuan
- Department of Occupational and Environmental Health, Huazhong University of Science and Technology , Wuhan, PR. China.,Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology , Wuhan, PR. China
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10
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Xie M, Xie D, Yang Y, Zhang Y, Li K, Zhou B, Yang Z, Ding X, Li H. Association of high-sensitivity C-reactive protein in middle-aged and elderly Chinese people with hyperuricaemia and risk of coronary heart disease: a cross-sectional study. BMJ Open 2019; 9:e028351. [PMID: 31630099 PMCID: PMC6803153 DOI: 10.1136/bmjopen-2018-028351] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/04/2018] [Revised: 09/14/2019] [Accepted: 09/17/2019] [Indexed: 12/11/2022] Open
Abstract
OBJECTIVES Patients with hyperuricaemia are at relatively high risk of developing coronary heart disease (CHD). The purpose of this study was to examine the relationship between high-sensitivity C-reactive protein (hs-CRP) and CHD risk in a middle-aged and elderly population with hyperuricaemia. DESIGN A cross-sectional study. SETTING AND PARTICIPANTS This study was conducted in a health examination centre of China. Participants were diagnosed with hyperuricaemia based on uric acid concentrations. Specifically, males with a uric acid concentration ≥416 μmol/L were included, as well as females with a concentration ≥360 μmol/L. MAIN OUTCOME MEASURES 10-year CHD risk for each individual was evaluated using Framingham risk score based on the Adult Treatment Panel III charts. RESULTS A total of 517 patients with hyperuricaemia (438 males and 79 females) aged from 40 to 85 years old were included in the present study. 193 (37.3%) patients were defined with relatively high 10-year CHD risk. Compared with the lowest quintile, the crude ORs of relatively high 10-year CHD risks were 1.43 (95% CI 0.78 to 2.63, p=0.245), 2.05 (95% CI 1.14 to 3.67, p=0.016), 2.77 (95% CI 1.54 to 4.98, p=0.001), 2.12 (95% CI 1.18 to 3.80, p=0.012) in the second, third, fourth and fifth quintiles of serum hs-CRP level, respectively (p for trend=0.057). The multivariable-adjusted ORs of relatively high 10-year CHD risk were 1.40 (95% CI 0.75 to 2.61, p=0.291) in the second, 2.05 (95% CI 1.13 to 3.72, p=0.019) in the third, 2.69 (95% CI 1.47 to 4.89, p=0.001) in the fourth and 2.10 (95% CI 1.15 to 3.84, p=0.016) in the fifth quintile of serum hs-CRP level when compared with the lowest quintile (p for trend=0.068). CONCLUSION This study showed that ORs of relatively high 10-year CHD risk were raised in patients with hyperuricaemia with higher serum hs-CRP level; however, there was a not significant but borderline trend association and that more research is needed.
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Affiliation(s)
- Mingsheng Xie
- Department of Orthopaedics, Xiangya Hospital, Central South University, Changsha, China
| | - Dongxing Xie
- Department of Orthopaedics, Xiangya Hospital, Central South University, Changsha, China
| | - Ye Yang
- Department of Orthopaedics, Xiangya Hospital, Central South University, Changsha, China
| | - Yi Zhang
- Department of Orthopaedics, Xiangya Hospital, Central South University, Changsha, China
| | - Kun Li
- Department of Orthopaedics, Xiangya Hospital, Central South University, Changsha, China
| | - Bin Zhou
- Department of Orthopaedics, Xiangya Hospital, Central South University, Changsha, China
| | - Zidan Yang
- Department of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha, China
| | - Xiang Ding
- Department of Orthopaedics, Xiangya Hospital, Central South University, Changsha, China
| | - Hui Li
- Department of Orthopaedics, Xiangya Hospital, Central South University, Changsha, China
- Hunan Key Laboratory of Joint Degeneration and Injury, Changsha, China
- National Clinical Research Center of Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China
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11
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Zhu C, Wang B, Xiao L, Guo Y, Zhou Y, Cao L, Yang S, Chen W. Mean platelet volume mediated the relationships between heavy metals exposure and atherosclerotic cardiovascular disease risk: A community-based study. Eur J Prev Cardiol 2019; 27:830-839. [PMID: 30776917 DOI: 10.1177/2047487319830536] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
BACKGROUND Heavy metals were related to increased risk of atherosclerotic cardiovascular disease (ASCVD). However, potential mechanisms under such associations remain unclear. We aimed to investigate the mediating role of mean platelet volume in the associations between heavy metals exposure and 10-year ASCVD risk. METHOD Urinary heavy metals and mean platelet volume were measured in 3081 adults from the Wuhan-Zhuhai cohort in China. The associations between urinary heavy metals, mean platelet volume and 10-year ASCVD risk were separately analyzed through generalized linear models and logistic regression models. Mediation analyses were conducted to assess the role of mean platelet volume in the associations between urinary heavy metals and 10-year ASCVD risk. RESULTS After adjusting for potential confounders, 10-year ASCVD risk was positively associated with urinary iron (odds ratio (OR) = 1.142, 95% confidence interval (1.038-1.256)), copper (OR = 1.384 (1.197-1.601)), zinc (OR = 1.520 (1.296-1.783)), cadmium (OR = 1.153 (0.990, 1.342)) and antimony (OR = 1.452 (1.237-1.704)), and negatively related with urinary barium (OR = 0.905 (0.831-0.985)). Also, we found significant dose-response relationships between urinary iron, zinc, antimony and mean platelet volume, as well as between mean platelet volume and 10-year ASCVD risk (all pfor trends < 0.05). Furthermore, mediation analyses indicated that mean platelet volume mediated 17.55%, 6.15% and 7.38% of the associations between urinary iron, zinc, antimony and 10-year ASCVD risk, respectively (all pvalue < 0.05). CONCLUSIONS Elevated concentrations of urinary iron, copper, zinc, cadmium and antimony were associated with increased risk of 10-year ASCVD. Mean platelet volume partially mediated the associations of urinary iron, zinc and antimony with 10-year ASCVD risk.
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Affiliation(s)
- Chunmei Zhu
- Department of Occupational & Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.,Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Bin Wang
- Department of Occupational & Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.,Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Lili Xiao
- Department of Occupational & Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.,Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yanjun Guo
- Department of Occupational & Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.,Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yun Zhou
- Department of Occupational & Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.,Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Limin Cao
- Department of Occupational & Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.,Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Shijie Yang
- Department of Occupational & Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.,Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Weihong Chen
- Department of Occupational & Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.,Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
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12
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He S, Lei W, Li J, Yu K, Yu Y, Zhou L, Zhang X, He M, Guo H, Yang H, Wu T. Relation of Platelet Parameters With Incident Cardiovascular Disease (The Dongfeng-Tongji Cohort Study). Am J Cardiol 2019; 123:239-248. [PMID: 30413247 DOI: 10.1016/j.amjcard.2018.10.016] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/07/2018] [Revised: 09/28/2018] [Accepted: 10/02/2018] [Indexed: 11/18/2022]
Abstract
Prospective studies on the relations between platelet count (PLT), mean platelet volume (MPV), platelet distribution width (PDW), and incident cardiovascular disease (CVD) were still limited. This study aimed to investigate the above-mentioned prospective relations in the middle-aged and older Chinese populations based on the Dongfeng-Tongji cohort. We included 31,751 participants who were free of coronary heart disease (CHD), stroke, cancer, or severely abnormal electrocardiogram at baseline. During a median follow-up of 5.9 years, we identified 5,683 incident CVD cases, including 4,423 CHD and 1,260 stroke cases. Cox proportional hazard models were used to estimate the hazard ratios (HRs) and 95% confident intervals (CIs) for the relation analyses. Compared with participants with 146 ≤ PLT ≤ 233 10E9/L, the adjusted HR (95% CI) of those with PLT < 146 10E9/L was 0.80 (0.68 to 0.95) for incident stroke. Compared with participants with 7.3 ≤ MPV ≤ 10.3 fl, the adjusted HRs (95% CIs) of those with MPV < 7.3 fl were 0.81 (0.75 to 0.88), 0.80 (0.73 to 0.88) and 0.84 (0.71 to 1.00) for incident CVD, CHD and stroke, respectively. Compared with participants with 13.2 ≤ PDW ≤ 18.1 %, the adjusted HRs (95% CIs) of those with PDW < 13.2 % were 0.80 (0.73 to 0.87) and 0.78 (0.70 to 0.86) for incident CVD and CHD, respectively. In conclusion, lower levels of PLT and MPV were significantly related to lower risk of stroke, while lower levels of MPV and PDW were significantly related to lower risks of CVD and CHD.
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Affiliation(s)
- Shiqi He
- Department of Occupational and Environmental Health and Ministry of Education Key Lab for Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Wenhui Lei
- Department of Occupational and Environmental Health and Ministry of Education Key Lab for Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Jun Li
- Department of Occupational and Environmental Health and Ministry of Education Key Lab for Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China; Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - Kuai Yu
- Department of Occupational and Environmental Health and Ministry of Education Key Lab for Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yanqiu Yu
- Department of Occupational and Environmental Health and Ministry of Education Key Lab for Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Lue Zhou
- Department of Occupational and Environmental Health and Ministry of Education Key Lab for Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Xiaomin Zhang
- Department of Occupational and Environmental Health and Ministry of Education Key Lab for Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Meian He
- Department of Occupational and Environmental Health and Ministry of Education Key Lab for Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Huan Guo
- Department of Occupational and Environmental Health and Ministry of Education Key Lab for Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Handong Yang
- Dongfeng Central Hospital, Dongfeng Motor Corporation and Hubei University of Medicine, Shiyan, China
| | - Tangchun Wu
- Department of Occupational and Environmental Health and Ministry of Education Key Lab for Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
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13
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Zhou Z, Chen H, Sun M, Ju H. Mean Platelet Volume and Gestational Diabetes Mellitus: A Systematic Review and Meta-Analysis. J Diabetes Res 2018; 2018:1985026. [PMID: 29854818 PMCID: PMC5954880 DOI: 10.1155/2018/1985026] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/09/2017] [Revised: 02/19/2018] [Accepted: 04/05/2018] [Indexed: 01/11/2023] Open
Abstract
AIM To evaluate the association between mean platelet volume (MPV) and gestational diabetes mellitus (GDM). METHODS A systematic literature search was performed in PubMed, EMBASE, Web of Science, and The Cochrane Library up to 4 September 2017. Pooled standardized mean differences (SMD) and 95% confidence interval (CI) were calculated using a random-effect model. RESULTS Nineteen studies comprising 1361 GDM patients and 1911 normal pregnant women were included. MPV was increased in GDM patients when compared with healthy pregnant women (SMD: 0.79; 95% CI: 0.43-1.16; P < 0.001). Subgroup analyses revealed that such trend was consistent in the third-trimester (SMD: 1.35; 95% CI: 0.72-1.98), Turkish (SMD: 0.81; 95% CI: 0.43-1.19), and Italian (SMD: 2.78; 95% CI: 2.22-3.34) patients with GDM and the patients diagnosed based on Carpenter and Coustan criteria (SMD: 1.04; 95% CI: 0.42-1.65). Significantly higher MPV also were observed within cross-sectional studies (SMD: 0.99; 95% CI: 0.49-1.49). Remarkable between-study heterogeneity and potential publication bias were observed in this meta-analysis; however, sensitivity analysis indicated that the results were not unduly influenced by any single study. CONCLUSIONS GDM patients are accompanied by increased MPV, strengthening the clinical evidence that MPV may be a predictive marker for GDM.
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Affiliation(s)
- Zhongwei Zhou
- Department of Clinical Laboratory, Affiliated Yancheng Hospital, School of Medicine, Southeast University, Yancheng, Jiangsu 224001, China
| | - Hongmei Chen
- Department of Clinical Laboratory, Affiliated Yancheng Hospital, School of Medicine, Southeast University, Yancheng, Jiangsu 224001, China
| | - Mingzhong Sun
- Department of Clinical Laboratory, Affiliated Yancheng Hospital, School of Medicine, Southeast University, Yancheng, Jiangsu 224001, China
| | - Huixiang Ju
- Department of Clinical Laboratory, Affiliated Yancheng Hospital, School of Medicine, Southeast University, Yancheng, Jiangsu 224001, China
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