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Martin SS, Aday AW, Allen NB, Almarzooq ZI, Anderson CAM, Arora P, Avery CL, Baker-Smith CM, Bansal N, Beaton AZ, Commodore-Mensah Y, Currie ME, Elkind MSV, Fan W, Generoso G, Gibbs BB, Heard DG, Hiremath S, Johansen MC, Kazi DS, Ko D, Leppert MH, Magnani JW, Michos ED, Mussolino ME, Parikh NI, Perman SM, Rezk-Hanna M, Roth GA, Shah NS, Springer MV, St-Onge MP, Thacker EL, Urbut SM, Van Spall HGC, Voeks JH, Whelton SP, Wong ND, Wong SS, Yaffe K, Palaniappan LP. 2025 Heart Disease and Stroke Statistics: A Report of US and Global Data From the American Heart Association. Circulation 2025; 151:e41-e660. [PMID: 39866113 DOI: 10.1161/cir.0000000000001303] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/28/2025]
Abstract
BACKGROUND The American Heart Association (AHA), in conjunction with the National Institutes of Health, annually reports the most up-to-date statistics related to heart disease, stroke, and cardiovascular risk factors, including core health behaviors (smoking, physical activity, nutrition, sleep, and obesity) and health factors (cholesterol, blood pressure, glucose control, and metabolic syndrome) that contribute to cardiovascular health. The AHA Heart Disease and Stroke Statistical Update presents the latest data on a range of major clinical heart and circulatory disease conditions (including stroke, brain health, complications of pregnancy, kidney disease, congenital heart disease, rhythm disorders, sudden cardiac arrest, subclinical atherosclerosis, coronary heart disease, cardiomyopathy, heart failure, valvular disease, venous thromboembolism, and peripheral artery disease) and the associated outcomes (including quality of care, procedures, and economic costs). METHODS The AHA, through its Epidemiology and Prevention Statistics Committee, continuously monitors and evaluates sources of data on heart disease and stroke in the United States and globally to provide the most current information available in the annual Statistical Update with review of published literature through the year before writing. The 2025 AHA Statistical Update is the product of a full year's worth of effort in 2024 by dedicated volunteer clinicians and scientists, committed government professionals, and AHA staff members. This year's edition includes a continued focus on health equity across several key domains and enhanced global data that reflect improved methods and incorporation of ≈3000 new data sources since last year's Statistical Update. RESULTS Each of the chapters in the Statistical Update focuses on a different topic related to heart disease and stroke statistics. CONCLUSIONS The Statistical Update represents a critical resource for the lay public, policymakers, media professionals, clinicians, health care administrators, researchers, health advocates, and others seeking the best available data on these factors and conditions.
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Li H, Tang T, Xiong L, Yin Y, Dai B. Interaction of Triglyceride-Glucose Index and Metabolic Syndrome with Risk of Incident Stroke Among Middle-Aged and Older Chinese Adults. J Multidiscip Healthc 2025; 18:947-955. [PMID: 39990637 PMCID: PMC11846540 DOI: 10.2147/jmdh.s511047] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2024] [Accepted: 02/08/2025] [Indexed: 02/25/2025] Open
Abstract
Objective The triglyceride-glucose (TyG) index, a reliable surrogate marker of insulin resistance, has been shown as an independent risk factor for stroke. Still, the interaction between metabolic syndrome (MetS) and the TyG index in determining stroke risk remains to be clarified, which may help optimize stroke prevention strategies. This study aims to explore whether metabolic syndrome (MetS) influences the association between the TyG index and the risk of stroke. Methods A total of 7770 middle-aged and older participants free of stroke at baseline were enrolled from the China Health and Retirement Longitudinal Study. The TyG index was calculated as ln (triglyceride [mg/dL] × fasting glucose [mg/dL]/2). MetS was defined following the modified International Diabetes Federation criteria. The outcome was self-reported, physician-diagnosed, incident stroke during follow-up. Cox proportional hazard models were used to examine whether MetS influences the associations between the TyG index and the risk of incident stroke. Results A total of 568 (7.3%) incident stroke cases occurred after a median observation time of 7.0 years. After adjusting for potential confounders, a higher TyG level was associated with an increased risk of incident stroke (hazard ratio (HR) 1.19, 95% CI 1.05-1.33, P = 0.016). The association was significant in participants without MetS (HR 1.69, 95% CI 1.40-1.97, P < 0.001), but not in those with MetS (HR 1.05, 95% CI 0.88-1.21, P = 0.599). The interaction between the TyG index and MetS on the risk of incident stroke was significant (P = 0.004). Conclusion MetS influenced the association of the TyG index with the risk of incident stroke among middle-aged and older Chinese adults. The TyG index may be more effective for stroke risk stratification in populations without MetS compared to those with MetS.
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Affiliation(s)
- Haiyan Li
- Department of Neurology and Psychiatry, Emergency and Critical Care Medical Center, Beijing Shijitan Hospital, Capital Medical University, Beijing, People’s Republic of China
| | - Tao Tang
- Department of Neurology and Psychiatry, Emergency and Critical Care Medical Center, Beijing Shijitan Hospital, Capital Medical University, Beijing, People’s Republic of China
| | - Lulu Xiong
- Department of Neurology and Psychiatry, Emergency and Critical Care Medical Center, Beijing Shijitan Hospital, Capital Medical University, Beijing, People’s Republic of China
| | - Yuhui Yin
- Department of Neurology and Psychiatry, Emergency and Critical Care Medical Center, Beijing Shijitan Hospital, Capital Medical University, Beijing, People’s Republic of China
| | - Bin Dai
- Department of Neurosurgery, Emergency and Critical Care Medical Center, Beijing Shijitan Hospital, Capital Medical University, Beijing, People’s Republic of China
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Feng H, Zhang J, Qin Z, Zhu Y, Zhu X, Chen L, Lu Z, Huang Y. Analysis of readmission and hospitalization expenditures of patients with ischemic stroke suffering from different comorbidities. Heliyon 2024; 10:e36462. [PMID: 39286193 PMCID: PMC11403424 DOI: 10.1016/j.heliyon.2024.e36462] [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: 08/21/2023] [Revised: 08/15/2024] [Accepted: 08/15/2024] [Indexed: 09/19/2024] Open
Abstract
Background The comorbidities of ischemic stroke (IS) are increasing worldwide. This study aimed to quantitatively assess the effect of different types of comorbidity on readmission and hospitalization expenditures of patients with IS. Methods A retrospective observational study was conducted from the basic insurance claims database of a large city in China, between January 1, 2018, and May 31, 2022. We identified patients with IS aged 18 years and over, who experienced the first episode of IS and had one-year follow-up records. This study divided eighteen different comorbid conditions into two categories (concordant comorbidity and discordant comorbidity) and the IS patients were further categorized into four groups. Multivariable logistic regression models and generalized linear models with log-link and gamma distribution were to estimate the effect of different comorbidity groups on one-year readmission rates and annual hospitalization expenditures. Results In total, 99,649 adult patients with IS were identified. Approximately 94.0 % of patients with IS had at least one comorbidity, and 63.8 % reported concordant comorbidity only. Patients with IS had a readmission rate of 26.7 %, and the mean of annual hospitalization expenditure and annual hospitalization out-of-pocket expenditure (OOPE) were 28086.6 Chinese Yuan (CNY) and 8267.3 CNY, respectively. After adjustment for covariates, the concordant comorbidity-only group had the highest readmission rate, annual hospitalization expenditure, and OOPE compared with the other groups, furthermore, these results increased as the number of comorbidity increased and had statistically significant positive associations. Conclusions The readmission and annual hospitalization expenditures of patients with IS were associated with different comorbidities. Concordant comorbidity increased hospital readmission risk and health expenditures. To better manage the comorbidities of patients with IS, especially concordant comorbidities, it is necessary to establish a routine care strategy specifically for comorbid conditions.
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Affiliation(s)
- Honghong Feng
- Department of Health Policy & Management, School of Public Health, Sun Yat-sen University, 74 Zhongshan 2nd Road, Guangzhou, Guangdong, 510080, China
| | - Jiachi Zhang
- Department of Health Policy & Management, School of Public Health, Sun Yat-sen University, 74 Zhongshan 2nd Road, Guangzhou, Guangdong, 510080, China
| | - Zhenhua Qin
- Department of Health Policy & Management, School of Public Health, Sun Yat-sen University, 74 Zhongshan 2nd Road, Guangzhou, Guangdong, 510080, China
| | - Yi Zhu
- Department of Health Policy & Management, School of Public Health, Sun Yat-sen University, 74 Zhongshan 2nd Road, Guangzhou, Guangdong, 510080, China
| | - Xiaodi Zhu
- Department of Health Policy & Management, School of Public Health, Sun Yat-sen University, 74 Zhongshan 2nd Road, Guangzhou, Guangdong, 510080, China
| | - Lijin Chen
- Department of Health Policy & Management, School of Public Health, Sun Yat-sen University, 74 Zhongshan 2nd Road, Guangzhou, Guangdong, 510080, China
| | - Zhengqi Lu
- Department of Neurology, Mental and Neurological Disease Research Center, the Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Yixiang Huang
- Department of Health Policy & Management, School of Public Health, Sun Yat-sen University, 74 Zhongshan 2nd Road, Guangzhou, Guangdong, 510080, China
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Zhao H, Wang S, Han Y, Yao M, Zhang Y, Zeng X. Coffee consumption might be associated with lower potential risk and severity of metabolic syndrome: national health and nutrition examination survey 2003-2018. Eur J Nutr 2024; 63:1705-1718. [PMID: 38703226 DOI: 10.1007/s00394-024-03367-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2023] [Accepted: 03/04/2024] [Indexed: 05/06/2024]
Abstract
BACKGROUND Metabolic syndrome (MetS) is a clinical syndrome characterized by multiple metabolic disorders and is a serious global health problem. The coffee effect, acting as one of the most prevalent beverages on metabolic syndrome, is debatable. METHODS We included patients from the National Health and Nutrition Examination Survey 2003-2018 and used a comprehensive evaluation called the MetS z-score to assess the severity of metabolic syndrome. The relationship between coffee, decaffeinated coffee, tea, and MetS z-scores was explored using a weighted linear regression. We also divided the participants into metabolic and non-metabolic syndrome groups according to the NCEP/ATP III criteria for the subgroup analysis. RESULTS A total of 14,504 participants were included in this study. The results demonstrated that drinking more than three cups of coffee daily was significantly linked to lower MetS z-scores (p < 0.001). Daily coffee consumption was also associated with lower BMI (p = 0.02), systolic blood pressure (p < 0.001), Homeostatic Model Assessment for Insulin Resistance (p < 0.001), and triglycerides (p < 0.001), while it was positively correlated with HDL-C (p = 0.001). Participants who consumed more than three cups of coffee daily had a lower MetS z-score in the MetS (p < 0.001) and non-MetS (p = 0.04) groups. CONCLUSION This research indicates that coffee consumption is linked to MetS severity. However, decaffeinated coffee and tea intake were unrelated to MetS severity.
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Affiliation(s)
- He Zhao
- Department of Family Medicine, Division of General Internal Medicine, Department of Medicine, Peking Union Medical College Hospital, State Key Laboratory of Complex Severe and Rare Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College Hospital, Beijing, 100730, China
| | - Shuolin Wang
- Department of Family Medicine, Division of General Internal Medicine, Department of Medicine, Peking Union Medical College Hospital, State Key Laboratory of Complex Severe and Rare Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College Hospital, Beijing, 100730, China
| | - Yingdong Han
- Department of Family Medicine, Division of General Internal Medicine, Department of Medicine, Peking Union Medical College Hospital, State Key Laboratory of Complex Severe and Rare Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College Hospital, Beijing, 100730, China
| | - Menghui Yao
- Department of Family Medicine, Division of General Internal Medicine, Department of Medicine, Peking Union Medical College Hospital, State Key Laboratory of Complex Severe and Rare Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College Hospital, Beijing, 100730, China
| | - Yun Zhang
- Department of Family Medicine, Division of General Internal Medicine, Department of Medicine, Peking Union Medical College Hospital, State Key Laboratory of Complex Severe and Rare Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College Hospital, Beijing, 100730, China.
| | - Xuejun Zeng
- Department of Family Medicine, Division of General Internal Medicine, Department of Medicine, Peking Union Medical College Hospital, State Key Laboratory of Complex Severe and Rare Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College Hospital, Beijing, 100730, China.
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Qu L, Fang S, Lan Z, Xu S, Jiang J, Pan Y, Xu Y, Zhu X, Jin J. Association between atherogenic index of plasma and new-onset stroke in individuals with different glucose metabolism status: insights from CHARLS. Cardiovasc Diabetol 2024; 23:215. [PMID: 38907337 PMCID: PMC11193183 DOI: 10.1186/s12933-024-02314-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/13/2024] [Accepted: 06/16/2024] [Indexed: 06/23/2024] Open
Abstract
BACKGROUND Circulating atherogenic index of plasma (AIP) levels has been proposed as a novel biomarker for dyslipidemia and as a predictor of insulin resistance (IR) risk. However, the association between AIP and the incidence of new-onset stroke, particularly in individuals with varying glucose metabolism status, remains ambiguous. METHODS A total of 8727 participants aged 45 years or older without a history of stroke from the China Health and Retirement Longitudinal Study (CHARLS) were included in this study. The AIP was calculated using the formula log [Triglyceride (mg/dL) / High-density lipoprotein cholesterol (mg/dL)]. Participants were divided into four groups based on their baseline AIP levels: Q1 (AIP ≤ 0.122), Q2 (0.122 < AIP ≤ 0.329), Q3 (0.329 < AIP ≤ 0.562), and Q4 (AIP > 0.562). The primary endpoint was the occurrence of new-onset stroke events. The Kaplan-Meier curves, multivariate Cox proportional hazard models, and Restricted cubic spline analysis were applied to explore the association between baseline AIP levels and the risk of developing a stroke among individuals with varying glycemic metabolic states. RESULTS During an average follow-up of 8.72 years, 734 participants (8.4%) had a first stroke event. The risk for stroke increased with each increasing quartile of baseline AIP levels. Kaplan-Meier curve analysis revealed a significant difference in stroke occurrence among the AIP groups in all participants, as well as in those with prediabetes mellitus (Pre-DM) and diabetes mellitus (DM) (all P values < 0.05). After adjusting for potential confounders, the risk of stroke was significantly higher in the Q2, Q3, and Q4 groups than in the Q1 group in all participants. The respective hazard ratios (95% confidence interval) for stroke in the Q2, Q3, and Q4 groups were 1.34 (1.05-1.71), 1.52 (1.19-1.93), and 1.84 (1.45-2.34). Furthermore, high levels of AIP were found to be linked to an increased risk of stroke in both pre-diabetic and diabetic participants across all three Cox models. However, this association was not observed in participants with normal glucose regulation (NGR) (p > 0.05). Restricted cubic spline analysis also demonstrated that higher baseline AIP levels were associated with higher hazard ratios for stroke in all participants and those with glucose metabolism disorders. CONCLUSIONS An increase in baseline AIP levels was significantly associated with the risk of stroke in middle-aged and elderly individuals, and exhibited distinct characteristics depending on the individual's glucose metabolism status.
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Affiliation(s)
- Longjie Qu
- Department of Neurology, Nanjing Drum Tower Hospital, Clinical College of Nanjing Medical University, Nanjing, 210008, China
| | - Shuang Fang
- Department of Neurology, Nanjing Drum Tower Hospital, Clinical College of Nanjing Medical University, Nanjing, 210008, China
| | - Zhen Lan
- Department of Neurology, Nanjing Drum Tower Hospital, Clinical College of Nanjing Medical University, Nanjing, 210008, China
| | - Shuai Xu
- Department of Neurology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, 210008, China
| | - Jialiu Jiang
- Department of Neurology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, 210008, China
| | - Yilin Pan
- Department of Neurology, Nanjing Drum Tower Hospital, Clinical College of Nanjing Medical University, Nanjing, 210008, China
| | - Yun Xu
- Department of Neurology, Nanjing Drum Tower Hospital, Clinical College of Nanjing Medical University, Nanjing, 210008, China
- Department of Neurology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, 210008, China
- State Key Laboratory of Pharmaceutical Biotechnology, Institute of Translational Medicine for Brain Critical Diseases, Nanjing University, Nanjing, 210008, China
- Jiangsu Key Laboratory for Molecular Medicine, Medical School of Nanjing University, Nanjing, 210008, China
- Nanjing Neurology Clinical Medical Center, Nanjing, 210008, China
| | - Xiaolei Zhu
- Department of Neurology, Nanjing Drum Tower Hospital, Clinical College of Nanjing Medical University, Nanjing, 210008, China.
- Department of Neurology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, 210008, China.
- State Key Laboratory of Pharmaceutical Biotechnology, Institute of Translational Medicine for Brain Critical Diseases, Nanjing University, Nanjing, 210008, China.
- Jiangsu Key Laboratory for Molecular Medicine, Medical School of Nanjing University, Nanjing, 210008, China.
- Nanjing Neurology Clinical Medical Center, Nanjing, 210008, China.
| | - Jiali Jin
- Department of Neurology, Nanjing Drum Tower Hospital, Clinical College of Nanjing Medical University, Nanjing, 210008, China.
- Department of Neurology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, 210008, China.
- State Key Laboratory of Pharmaceutical Biotechnology, Institute of Translational Medicine for Brain Critical Diseases, Nanjing University, Nanjing, 210008, China.
- Jiangsu Key Laboratory for Molecular Medicine, Medical School of Nanjing University, Nanjing, 210008, China.
- Nanjing Neurology Clinical Medical Center, Nanjing, 210008, China.
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Taheri-Soodejani M, Rasoulian-Kasrineh M, Tabatabaei SM. Metabolic Syndrome and Ischemic Stroke in Iran: Incidence and Disability-Adjusted Life Years 1990 to 2019. Metab Syndr Relat Disord 2024; 22:337-345. [PMID: 38422220 DOI: 10.1089/met.2023.0253] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/02/2024] Open
Abstract
Introduction: Metabolic syndrome (MS) is one of the conditions that may increase the risk of ischemic stroke (IS). This study focuses on factors of MS related to the incidence, years of life lost (YLL), and years of life disability (YLD) caused by IS. Materials and Methods: The age-adjusted data (incidence, YLL, and YLD) related to four factors of MS [fasting plasma glucose, body mass index (BMI), low-density lipoprotein, and systolic blood pressure, SBP] were extracted as risk factors for IS during the years 1990 to 2019 from global burden of disease study. ARC GIS V.10 software was used to investigate the geographical distribution and the Cochran-Armitage test was used to investigate the trend of these indices. Results: The highest incidence of IS was reported in Golestan provinces in 2019 [women: 180 (95% UI 153-213), men: 163 (95% UI 141-191), and both genders: 172 (95% UI 149-201)]. High SBP has the highest impact on YLD (96-102 per 100,000 population in some provinces) and YLL (688-824 per 100,000 population in some provinces) in men and women (YLD: 126-156, YLL: 586-785 per 100,000 population in some provinces). High BMI has increased YLD caused by IS from 1990 (35 per 100,000 population) to 2019 (53 per 100,000 population). Conclusion: Considering the importance of IS and the impact that MS has on this disease, it seems that one of the most effective possible measures is to eliminate MS. The factors of MS are mostly related to lifestyle, and MS can be controlled with a suitable plan, which can be considered as primary prevention for IS.
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Affiliation(s)
- Moslem Taheri-Soodejani
- Center for Healthcare Data Modeling, Departments of Biostatistics and Epidemiology, School of Public Health, Shahid Sadoughi University of Medical Sciences, Yazd, Iran
| | - Marjan Rasoulian-Kasrineh
- Department of Medical Informatics, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Seyyed-Mohammad Tabatabaei
- Department of Medical Informatics, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran
- Clinical Research Development Unit, Imam Reza Hospital, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran
- Student Research Committee, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran
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Fu Y, Yuan P, Zeng M, Zhang Q, Hou Y, Gao L, Wei Y, Zheng Y, Feng W, Zheng X. Dihydroquercetin regulates HIF-1α/AKT/NR2B signalling to improve impaired brain function in rats with metabolic syndrome. Heliyon 2024; 10:e29807. [PMID: 38737244 PMCID: PMC11088260 DOI: 10.1016/j.heliyon.2024.e29807] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2023] [Revised: 03/19/2024] [Accepted: 04/15/2024] [Indexed: 05/14/2024] Open
Abstract
Dihydroquercetin (DHQ) is commonly used as a dietary additive, but its activity in improving brain injury with metabolic syndrome (MS) remains known. In present study, the MS rat model was induced using 10 % fructose water. The apoptosis rate of primary brain cells was detected. The HIF-1α/AKT/NR2B signalling pathway, levels of KEAP1/NRF2, HO-1 and NQO-1 were detected. In vitro experiments were performed using H2O2-stimulated PC-12 cells. The effect of DHQ on rates of cell survival and apoptosis were detected. After silencing HIF-1α, we further elucidate the mechanism of action of DHQ. The results indicated that DHQ reduced the hyperactivity and inhibited oxidative stress via increasing the levels of HIF-1α/AKT/NR2B signalling pathway, whereas regulated KEAP1/NRF2 pathway. In vitro experiments showed that the HIF-1α plays an important role in this process. Overall, DHQ may improve impaired brain function in rats with metabolic syndrome by regulating the HIF-1α/AKT/NR2B signalling pathway.
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Affiliation(s)
- Yang Fu
- Department of Pharmacy, Henan University of Chinese Medicine, Zhengzhou 450046, China
- The Engineering and Technology Center for Chinese Medicine Development of Henan Province, Zhengzhou 450046, China
| | - PeiPei Yuan
- Department of Pharmacy, Henan University of Chinese Medicine, Zhengzhou 450046, China
- The Engineering and Technology Center for Chinese Medicine Development of Henan Province, Zhengzhou 450046, China
| | - Mengnan Zeng
- Department of Pharmacy, Henan University of Chinese Medicine, Zhengzhou 450046, China
- The Engineering and Technology Center for Chinese Medicine Development of Henan Province, Zhengzhou 450046, China
| | - Qi Zhang
- Department of Pharmacy, Henan University of Chinese Medicine, Zhengzhou 450046, China
| | - Ying Hou
- Department of Pharmacy, Henan University of Chinese Medicine, Zhengzhou 450046, China
| | - Liyuan Gao
- Department of Pharmacy, Henan University of Chinese Medicine, Zhengzhou 450046, China
| | - Yaxin Wei
- Department of Pharmacy, Henan University of Chinese Medicine, Zhengzhou 450046, China
| | - Yajuan Zheng
- Department of Pharmacy, Henan University of Chinese Medicine, Zhengzhou 450046, China
| | - Weisheng Feng
- Department of Pharmacy, Henan University of Chinese Medicine, Zhengzhou 450046, China
- The Engineering and Technology Center for Chinese Medicine Development of Henan Province, Zhengzhou 450046, China
| | - Xiaoke Zheng
- Department of Pharmacy, Henan University of Chinese Medicine, Zhengzhou 450046, China
- The Engineering and Technology Center for Chinese Medicine Development of Henan Province, Zhengzhou 450046, China
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Zhang J, Lu H, Cao M, Zhang J, Liu D, Meng X, Zheng D, Wu L, Liu X, Wang Y. Metabolic Traits and Risk of Ischemic Stroke in Japanese and European Populations: A Two-Sample Mendelian Randomization Study. Metabolites 2024; 14:255. [PMID: 38786732 PMCID: PMC11123267 DOI: 10.3390/metabo14050255] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2024] [Revised: 04/11/2024] [Accepted: 04/22/2024] [Indexed: 05/25/2024] Open
Abstract
The role of metabolic traits in ischemic stroke (IS) has been explored through observational studies and a few Mendelian randomization (MR) studies employing limited methods in European populations. This study aimed to investigate the causal effects of metabolic traits on IS in both East Asian and European populations utilizing multiple MR methods based on genetic insights. Two-sample and multivariable MR were performed, and MR estimates were calculated as inverse-variance weighted (IVW), weighted median, and penalized weighted median. Pleiotropy was assessed by MR-Egger and Mendelian randomization pleiotropy residual sum and outlier tests. Systolic blood pressure (SBP) was associated with an increased risk of IS by IVW in both European (ORIVW: 1.032, 95% CI: 1.026-1.038, p < 0.001) and Japanese populations (ORIVW: 1.870, 95% CI: 1.122-3.116, p = 0.016), which was further confirmed by other methods. Unlike the European population, the evidence for the association of diastolic blood pressure (DBP) with IS in the Japanese population was not stable. No evidence supported an association between the other traits and IS (all Ps > 0.05) in both races. A positive association was found between SBP and IS in two races, while the results of DBP were only robust in Europeans.
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Affiliation(s)
- Jinxia Zhang
- School of Public Health, Capital Medical University, Beijing 100069, China; (J.Z.); (H.L.); (M.C.); (J.Z.); (X.M.); (D.Z.); (L.W.)
- Beijing Key Laboratory of Clinical Epidemiology, Capital Medical University, Beijing 100069, China
| | - Huimin Lu
- School of Public Health, Capital Medical University, Beijing 100069, China; (J.Z.); (H.L.); (M.C.); (J.Z.); (X.M.); (D.Z.); (L.W.)
- Beijing Key Laboratory of Clinical Epidemiology, Capital Medical University, Beijing 100069, China
| | - Mingyang Cao
- School of Public Health, Capital Medical University, Beijing 100069, China; (J.Z.); (H.L.); (M.C.); (J.Z.); (X.M.); (D.Z.); (L.W.)
- Beijing Key Laboratory of Clinical Epidemiology, Capital Medical University, Beijing 100069, China
| | - Jie Zhang
- School of Public Health, Capital Medical University, Beijing 100069, China; (J.Z.); (H.L.); (M.C.); (J.Z.); (X.M.); (D.Z.); (L.W.)
- Beijing Key Laboratory of Clinical Epidemiology, Capital Medical University, Beijing 100069, China
| | - Di Liu
- Centre for Biomedical Information Technology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China
| | - Xiaoni Meng
- School of Public Health, Capital Medical University, Beijing 100069, China; (J.Z.); (H.L.); (M.C.); (J.Z.); (X.M.); (D.Z.); (L.W.)
- Beijing Key Laboratory of Clinical Epidemiology, Capital Medical University, Beijing 100069, China
| | - Deqiang Zheng
- School of Public Health, Capital Medical University, Beijing 100069, China; (J.Z.); (H.L.); (M.C.); (J.Z.); (X.M.); (D.Z.); (L.W.)
- Beijing Key Laboratory of Clinical Epidemiology, Capital Medical University, Beijing 100069, China
| | - Lijuan Wu
- School of Public Health, Capital Medical University, Beijing 100069, China; (J.Z.); (H.L.); (M.C.); (J.Z.); (X.M.); (D.Z.); (L.W.)
- Beijing Key Laboratory of Clinical Epidemiology, Capital Medical University, Beijing 100069, China
| | - Xiangdong Liu
- National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 100069, China
| | - Youxin Wang
- School of Public Health, Capital Medical University, Beijing 100069, China; (J.Z.); (H.L.); (M.C.); (J.Z.); (X.M.); (D.Z.); (L.W.)
- Beijing Key Laboratory of Clinical Epidemiology, Capital Medical University, Beijing 100069, China
- School of Public Health, North China University of Science and Technology, Tangshan 063210, China
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Lin JJ, Dai PY, Zhang J, Guan YQ, Gong WW, Yu M, Fang L, Hu RY, He QF, Li N, Wang LX, Liang MB, Zhong JM. Association between metabolic syndrome severity score and cardiovascular disease: results from a longitudinal cohort study on Chinese adults. Front Endocrinol (Lausanne) 2024; 15:1341546. [PMID: 38654930 PMCID: PMC11036864 DOI: 10.3389/fendo.2024.1341546] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/20/2023] [Accepted: 03/25/2024] [Indexed: 04/26/2024] Open
Abstract
Objective This study aimed to quantify the severity of metabolic syndrome(MetS) and investigate its association with cardiovascular disease(CVD) risk on Chinese adults. Methods 13,500 participants from the Zhejiang Adult Chronic Disease Study were followed up between 2010 and 2021. A continuous MetS severity score derived from the five components of MetS was used to quantify MetS severity, and the association between MetS severity and the risk of incident CVD was assessed using Cox proportional hazard and restricted cubic spline regression. Results Both the presence and severity of MetS were strongly associated with CVD risk. MetS was related to an increased risk of CVD (hazard ratio(HR):1.700, 95% confidence interval(CI): 1.380-2.094). Compared with the hazard ratio for CVD in the lowest quartile of the MetS severity score, that in the second, third, and highest quartiles were 1.812 (1.329-2.470), 1.746 (1.265-2.410), and 2.817 (2.015-3.938), respectively. A linear and positive dose-response relationship was observed between the MetS severity and CVD risk (P for non-linearity = 0.437). Similar results were found in various sensitivity analyses. Conclusion The MetS severity score was significantly associated with CVD risk. Assessing MetS severity and further ensuring intervention measures according to the different severities of MetS may be more useful in preventing CVD.
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Affiliation(s)
| | | | | | | | | | | | | | | | | | | | | | | | - Jie-ming Zhong
- Department of Chronic and Non-communicable Disease Prevention and Control, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China
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10
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Martin SS, Aday AW, Almarzooq ZI, Anderson CAM, Arora P, Avery CL, Baker-Smith CM, Barone Gibbs B, Beaton AZ, Boehme AK, Commodore-Mensah Y, Currie ME, Elkind MSV, Evenson KR, Generoso G, Heard DG, Hiremath S, Johansen MC, Kalani R, Kazi DS, Ko D, Liu J, Magnani JW, Michos ED, Mussolino ME, Navaneethan SD, Parikh NI, Perman SM, Poudel R, Rezk-Hanna M, Roth GA, Shah NS, St-Onge MP, Thacker EL, Tsao CW, Urbut SM, Van Spall HGC, Voeks JH, Wang NY, Wong ND, Wong SS, Yaffe K, Palaniappan LP. 2024 Heart Disease and Stroke Statistics: A Report of US and Global Data From the American Heart Association. Circulation 2024; 149:e347-e913. [PMID: 38264914 DOI: 10.1161/cir.0000000000001209] [Citation(s) in RCA: 488] [Impact Index Per Article: 488.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/25/2024]
Abstract
BACKGROUND The American Heart Association (AHA), in conjunction with the National Institutes of Health, annually reports the most up-to-date statistics related to heart disease, stroke, and cardiovascular risk factors, including core health behaviors (smoking, physical activity, nutrition, sleep, and obesity) and health factors (cholesterol, blood pressure, glucose control, and metabolic syndrome) that contribute to cardiovascular health. The AHA Heart Disease and Stroke Statistical Update presents the latest data on a range of major clinical heart and circulatory disease conditions (including stroke, brain health, complications of pregnancy, kidney disease, congenital heart disease, rhythm disorders, sudden cardiac arrest, subclinical atherosclerosis, coronary heart disease, cardiomyopathy, heart failure, valvular disease, venous thromboembolism, and peripheral artery disease) and the associated outcomes (including quality of care, procedures, and economic costs). METHODS The AHA, through its Epidemiology and Prevention Statistics Committee, continuously monitors and evaluates sources of data on heart disease and stroke in the United States and globally to provide the most current information available in the annual Statistical Update with review of published literature through the year before writing. The 2024 AHA Statistical Update is the product of a full year's worth of effort in 2023 by dedicated volunteer clinicians and scientists, committed government professionals, and AHA staff members. The AHA strives to further understand and help heal health problems inflicted by structural racism, a public health crisis that can significantly damage physical and mental health and perpetuate disparities in access to health care, education, income, housing, and several other factors vital to healthy lives. This year's edition includes additional global data, as well as data on the monitoring and benefits of cardiovascular health in the population, with an enhanced focus on health equity across several key domains. RESULTS Each of the chapters in the Statistical Update focuses on a different topic related to heart disease and stroke statistics. CONCLUSIONS The Statistical Update represents a critical resource for the lay public, policymakers, media professionals, clinicians, health care administrators, researchers, health advocates, and others seeking the best available data on these factors and conditions.
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11
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Kulak MJ, Lewis-de los Angeles W, Daniels TE, Mathis KJ, Gobin AP, Laumann LE, Beck Q, Tyrka AR. Increased Cardiometabolic Risk in Healthy Young Adults With Early Life Stress. Psychosom Med 2024; 86:72-82. [PMID: 38153259 PMCID: PMC10922275 DOI: 10.1097/psy.0000000000001273] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/29/2023]
Abstract
OBJECTIVE This study aimed to evaluate the relationship between early life stress (ELS) and metabolic risk in healthy young adults and assess the role of health behaviors. METHODS Young adults aged 18 to 40 years ( N = 190) with no medical conditions or medication usage were recruited from the community. Participants with ELS ( N = 113) had a history of childhood maltreatment, and most also experienced parental loss ( n = 88). Controls ( N = 77) had no history of maltreatment or parental loss. Standardized interviews and self-reports assessed demographics, adversity, medical/psychiatric history, and health behaviors. Blood pressure and anthropometrics were measured, and fasting plasma assayed for lipid profiles, glucose, insulin level, and hemoglobin A 1c . We calculated both a clinical cut-point and continuous composite metabolic risk score based on clinical risk factors and the mean of z scores of each measure, respectively. RESULTS ELS was significantly associated with increased clinical cut-point ( β = 0.68, 95% confidence interval [CI] = 0.20-1.17, p = .006) and continuous ( β = 0.23, 95% CI = 0.08-0.038, p = .003) composite metabolic risk scores. On sensitivity analysis, the association of ELS with the continuous composite metabolic risk score was reduced to a trend after adjusting for a range of psychosocial and health predictors ( β = 0.18, 95% CI = 0.00-0.36, p = .053), with both diet and college graduate status significant in the model. CONCLUSIONS Healthy young adults with a history of ELS have increased metabolic risk scores as compared with controls. This relationship may be partially due to health behaviors and socioeconomic factors. These findings underline that ELS is an early contributor to metabolic risk.
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Affiliation(s)
- Meghan J. Kulak
- Initiative on Stress, Trauma, and Resilience (STAR), Department of Psychiatry and Human Behavior, Warren Alpert Medical School, Brown University, Providence, RI, USA
- Mood Disorders Research Program and Laboratory for Clinical and Translational Neuroscience, Butler Hospital, Providence, RI, USA
| | - William Lewis-de los Angeles
- Department of Pediatrics, Hasbro Children’s Hospital and Bradley Hospital, RI, USA
- Warren Alpert Medical School, Brown University, Providence, RI, USA
| | - Teresa E. Daniels
- Initiative on Stress, Trauma, and Resilience (STAR), Department of Psychiatry and Human Behavior, Warren Alpert Medical School, Brown University, Providence, RI, USA
- Mood Disorders Research Program and Laboratory for Clinical and Translational Neuroscience, Butler Hospital, Providence, RI, USA
| | - Karen J. Mathis
- Initiative on Stress, Trauma, and Resilience (STAR), Department of Psychiatry and Human Behavior, Warren Alpert Medical School, Brown University, Providence, RI, USA
- University of Rhode Island College of Nursing, Kingston, RI
| | - Asi P. Gobin
- Initiative on Stress, Trauma, and Resilience (STAR), Department of Psychiatry and Human Behavior, Warren Alpert Medical School, Brown University, Providence, RI, USA
- Mood Disorders Research Program and Laboratory for Clinical and Translational Neuroscience, Butler Hospital, Providence, RI, USA
| | - Laura E. Laumann
- Initiative on Stress, Trauma, and Resilience (STAR), Department of Psychiatry and Human Behavior, Warren Alpert Medical School, Brown University, Providence, RI, USA
- Mood Disorders Research Program and Laboratory for Clinical and Translational Neuroscience, Butler Hospital, Providence, RI, USA
| | - Quincy Beck
- Initiative on Stress, Trauma, and Resilience (STAR), Department of Psychiatry and Human Behavior, Warren Alpert Medical School, Brown University, Providence, RI, USA
- Mood Disorders Research Program and Laboratory for Clinical and Translational Neuroscience, Butler Hospital, Providence, RI, USA
| | - Audrey R. Tyrka
- Initiative on Stress, Trauma, and Resilience (STAR), Department of Psychiatry and Human Behavior, Warren Alpert Medical School, Brown University, Providence, RI, USA
- Mood Disorders Research Program and Laboratory for Clinical and Translational Neuroscience, Butler Hospital, Providence, RI, USA
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12
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Ramsey AM, Stowie A, Hill A, Ellis I, Rhodes MK, Pollock DM, Davidson AJ. Long-term circadian disruption shortens life span and dampens blood pressure diurnal rhythms in stroke-prone spontaneously hypertensive rats. Am J Physiol Heart Circ Physiol 2023; 325:H106-H112. [PMID: 37205732 PMCID: PMC10292971 DOI: 10.1152/ajpheart.00055.2023] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/31/2023] [Revised: 05/11/2023] [Accepted: 05/17/2023] [Indexed: 05/21/2023]
Abstract
Environmental cues such as light and timing of food intake influence molecular clocks that produce circadian rhythmicity of many biological functions. The master circadian clock is entrained by light input and synchronizes with peripheral clocks in every organ of the body. Careers that require rotating shift work schedules predispose workers to a constant desynchronization of these biological clocks and are associated with increased risk of cardiovascular disease. We used a stroke-prone spontaneously hypertensive rat model exposed to a known biological desynchronizer, chronic environmental circadian disruption (ECD), to test the hypothesis that it would accelerate the time to stroke onset. We then investigated whether time-restricted feeding could delay stroke onset and evaluated its usefulness as a countermeasure when combined with the constant disruption of the light cycle. We found that phase advancing of the light schedule accelerated stroke onset. Restricting food access time to 5 h/day regardless of lighting profoundly delayed stroke onset in both standard 12-h:12-h light/dark or ECD-lighting conditions compared with ad libitum feeding; however, acceleration by ECD versus control lighting conditions was still observed. Since hypertension is a precursor to stroke in this model, we assessed blood pressure in a small cohort longitudinally using telemetry. Mean daily systolic and diastolic blood pressure increased in a similar manner across rats in control and ECD conditions, thus hypertension was not grossly accelerated to cause earlier strokes. However, we observed intermittent dampening of rhythms after each shift of the light cycle reminiscent of a relapsing-remitting nondipping state. Our results suggest that constant disruption of environmental rhythms may be associated with an increased risk of cardiovascular complications in the presence of cardiovascular risk factors.NEW & NOTEWORTHY This stroke-prone spontaneously hypertensive rat model significantly delayed stroke onset with the timed food restriction intervention. Blood pressure recordings in this same model were continuous through the 3 mo and showed dampened systolic rhythms after each shift in the lighting schedule.
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Affiliation(s)
- Anne M Ramsey
- Neuroscience Institute, Morehouse School of Medicine, Atlanta, Georgia, United States
- Division of Nephrology, Department of Medicine, University of Alabama at Birmingham, Birmingham, Alabama, United States
| | - Adam Stowie
- Neuroscience Institute, Morehouse School of Medicine, Atlanta, Georgia, United States
| | - Atlantis Hill
- Neuroscience Institute, Morehouse School of Medicine, Atlanta, Georgia, United States
| | - Ivory Ellis
- Neuroscience Institute, Morehouse School of Medicine, Atlanta, Georgia, United States
| | - Megan K Rhodes
- Division of Nephrology, Department of Medicine, University of Alabama at Birmingham, Birmingham, Alabama, United States
| | - David M Pollock
- Division of Nephrology, Department of Medicine, University of Alabama at Birmingham, Birmingham, Alabama, United States
| | - Alec J Davidson
- Neuroscience Institute, Morehouse School of Medicine, Atlanta, Georgia, United States
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13
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Cui M, Li F, Gang X, Gao Y, Xiao X, Wang G, Liu Y, Wang G. Association of alcohol consumption with all-cause mortality, new-onset stroke, and coronary heart disease in patients with abnormal glucose metabolism-Findings from a 10-year follow-up of the REACTION study. J Diabetes 2023; 15:289-298. [PMID: 37041428 PMCID: PMC10101836 DOI: 10.1111/1753-0407.13371] [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: 08/07/2022] [Revised: 02/05/2023] [Accepted: 02/15/2023] [Indexed: 04/13/2023] Open
Abstract
BACKGROUND Type 2 diabetes mellitus (T2DM) and diabetic complications threaten human health seriously. Healthy lifestyles can lower the risk of cardiovascular disease (CVD) and long-term complications. However, the relationship between alcohol consumption and CVD mortality is still controversial, and there is a lack of evidence from large-scale longitudinal studies in the Chinese population. Based on the REACTION study (Risk Evaluation of Cancers in Chinese Diabetic Individuals: A Longitudinal Study), this paper explores the association between alcohol consumption and all-cause mortality, stroke, and coronary heart disease (CHD) in patients with abnormal glucose metabolism during a 10-year follow-up period to provide evidence for lifestyle counselling for these patients. METHODS First, baseline data were collected from the REACTION study cohort in Changchun, Jilin Province, China, in 2011-2012. A questionnaire survey was performed among patients with abnormal glucose metabolism aged over 40 years. The frequency of their alcohol intake, the type of alcohol, and the amount of alcohol consumed daily were surveyed. Physical and biochemical examinations were also performed. Then, through the Primary Public Health Service System of Jilin Province, we collected outcomes during the 10-year follow-up up to October 1, 2021, including all-cause mortality, stroke, and CHD. Next, we conducted logistic regression to analyze the relationship between baseline alcohol consumption and 10-year outcomes, and risk ratio (RR) and 95% CI were calculated by adjusting for different clinical indicators. A p value < 0.05 was considered statistically significant. RESULTS A total of 4855 patients with T2DM and prediabetes (35.2% men and 64.8% women) were included in the baseline analysis. Outcomes of 3521 patients during the 10-year follow-up were obtained, including 227 deaths, 296 new-onset strokes and 445 new-onset CHD. Occasional drinking (less than once a week) was associated with a reduced 10-year all-cause mortality, with an RR of 0.511 (95% CI [0.266, 0.982]) after adjustment for age, gender, medical history, and lifestyles and an RR of 0.50 (95% CI [0.252, 0.993]) in a fully adjusted model including additional biochemical indicators. In addition, heavy alcohol consumption (≥30 g/day for men and ≥15 g/day for women) was significantly associated with an increased incidence of stroke, with an RR of 2.503 (95% CI [1.138, 5.506]) after the adjustment for age, gender, medical history, lifestyles, and biochemical indicators. No significant association was found between alcohol consumption and new-onset CHD. CONCLUSIONS For patients with abnormal glucose metabolism, occasional drinking (less than once a week) reduces the risk of all-cause mortality, while heavy alcohol consumption (≥30 g/day for men and ≥15 g/day for women) significantly increases the risk of new-onset stroke. They should avoid heavy alcohol intake, but light alcohol consumption or occasional drinking is acceptable. Additionally, it is crucial to control blood glucose and blood pressure and keep performing physical activities.
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Affiliation(s)
- Mengzhao Cui
- Department of Endocrinology and MetabolismThe First Hospital of Jilin UniversityJilinChina
| | - Fei Li
- Department of Endocrinology and MetabolismThe First Hospital of Jilin UniversityJilinChina
| | - Xiaokun Gang
- Department of Endocrinology and MetabolismThe First Hospital of Jilin UniversityJilinChina
| | - Yuan Gao
- Department of Endocrinology and MetabolismThe First Hospital of Jilin UniversityJilinChina
| | - Xianchao Xiao
- Department of Endocrinology and MetabolismThe First Hospital of Jilin UniversityJilinChina
| | - Gang Wang
- Department of Endocrinology and MetabolismThe First Hospital of Jilin UniversityJilinChina
| | - Yujia Liu
- Department of Endocrinology and MetabolismThe First Hospital of Jilin UniversityJilinChina
| | - Guixia Wang
- Department of Endocrinology and MetabolismThe First Hospital of Jilin UniversityJilinChina
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14
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Tsao CW, Aday AW, Almarzooq ZI, Anderson CAM, Arora P, Avery CL, Baker-Smith CM, Beaton AZ, Boehme AK, Buxton AE, Commodore-Mensah Y, Elkind MSV, Evenson KR, Eze-Nliam C, Fugar S, Generoso G, Heard DG, Hiremath S, Ho JE, Kalani R, Kazi DS, Ko D, Levine DA, Liu J, Ma J, Magnani JW, Michos ED, Mussolino ME, Navaneethan SD, Parikh NI, Poudel R, Rezk-Hanna M, Roth GA, Shah NS, St-Onge MP, Thacker EL, Virani SS, Voeks JH, Wang NY, Wong ND, Wong SS, Yaffe K, Martin SS. Heart Disease and Stroke Statistics-2023 Update: A Report From the American Heart Association. Circulation 2023; 147:e93-e621. [PMID: 36695182 DOI: 10.1161/cir.0000000000001123] [Citation(s) in RCA: 1990] [Impact Index Per Article: 995.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/26/2023]
Abstract
BACKGROUND The American Heart Association, in conjunction with the National Institutes of Health, annually reports the most up-to-date statistics related to heart disease, stroke, and cardiovascular risk factors, including core health behaviors (smoking, physical activity, diet, and weight) and health factors (cholesterol, blood pressure, and glucose control) that contribute to cardiovascular health. The Statistical Update presents the latest data on a range of major clinical heart and circulatory disease conditions (including stroke, congenital heart disease, rhythm disorders, subclinical atherosclerosis, coronary heart disease, heart failure, valvular disease, venous disease, and peripheral artery disease) and the associated outcomes (including quality of care, procedures, and economic costs). METHODS The American Heart Association, through its Epidemiology and Prevention Statistics Committee, continuously monitors and evaluates sources of data on heart disease and stroke in the United States to provide the most current information available in the annual Statistical Update with review of published literature through the year before writing. The 2023 Statistical Update is the product of a full year's worth of effort in 2022 by dedicated volunteer clinicians and scientists, committed government professionals, and American Heart Association staff members. The American Heart Association strives to further understand and help heal health problems inflicted by structural racism, a public health crisis that can significantly damage physical and mental health and perpetuate disparities in access to health care, education, income, housing, and several other factors vital to healthy lives. This year's edition includes additional COVID-19 (coronavirus disease 2019) publications, as well as data on the monitoring and benefits of cardiovascular health in the population, with an enhanced focus on health equity across several key domains. RESULTS Each of the chapters in the Statistical Update focuses on a different topic related to heart disease and stroke statistics. CONCLUSIONS The Statistical Update represents a critical resource for the lay public, policymakers, media professionals, clinicians, health care administrators, researchers, health advocates, and others seeking the best available data on these factors and conditions.
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15
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Wang S, Han Y, Zhao H, Han X, Yin Y, Wu J, Zhang Y, Zeng X. Association between Coffee Consumption, Caffeine Intake, and Metabolic Syndrome Severity in Patients with Self-Reported Rheumatoid Arthritis: National Health and Nutrition Examination Survey 2003-2018. Nutrients 2022; 15:nu15010107. [PMID: 36615765 PMCID: PMC9824592 DOI: 10.3390/nu15010107] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2022] [Revised: 12/19/2022] [Accepted: 12/21/2022] [Indexed: 12/28/2022] Open
Abstract
Rheumatoid arthritis (RA) is chronic inflammatory disease. Although coffee impacts metabolism, no evidence has shown an association between coffee consumption and decreased risk for developing metabolic syndrome (MetS) among RA patients. Hence, we examined the association between coffee consumption and metabolic syndrome severity among 1094 participants with self-reported RA. Accordingly, patients with MetS z-scores of <0 and ≥0 were designated as low- and high-risk groups, respectively. In the fully adjusted model, drinking over two cups of coffee daily was associated with a decrease in the MetS z-score (p = 0.04). Subgroup analysis showed that in the low-risk group, daily intake of <2 cups of coffee was associated with low MetS z-scores (p = 0.003), scores (p = 0.03). Coffee intake was associated with low body mass index (p = 0.03 for 0−2 cups per day; p = 0.02 for >2 cups per day) and low HOMA-IR (β, −2.62; 95%CI, −5.13 to −0.11; p = 0.04). Our study suggests that coffee, but not decaffeinated coffee consumption and total caffeine intake, is associated with MetS severity in RA.
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16
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Tang X, Wu M, Wu S, Tian Y. Continuous metabolic syndrome severity score and the risk of CVD and all-cause mortality. Eur J Clin Invest 2022; 52:e13817. [PMID: 35598176 DOI: 10.1111/eci.13817] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/19/2022] [Revised: 04/26/2022] [Accepted: 05/19/2022] [Indexed: 11/29/2022]
Abstract
BACKGROUND The dualistic diagnostic criteria for metabolic syndrome overlooked the severity of metabolic syndrome, and the relationships between the severity of metabolic syndrome and adverse health conditions are poorly characterized. We therefore aimed to investigate the associations of metabolic syndrome severity with incident cardiovascular disease (CVD)/all-cause mortality. METHODS A total of 116,772 participants from the Kailuan study were followed up biennially between 2006 and 2018. The severity of metabolic syndrome was evaluated using a continuous metabolic syndrome severity score (MetS score). Cox proportional hazards model was used to examine the association between MetS score and the risk of CVD and all-cause mortality. Restricted cubic spline analyses were performed to explore the dose-response associations. RESULTS We found that the risk of CVD and all-cause mortality increased consistently with the MetS score. In the multivariable-adjusted model, the hazard ratios of CVD and all-cause mortality were 2.05 (95% CI 1.86-2.25) and 1.45 (95% CI 1.35-1.56), respectively, in those subjects>75th percentile compared with those <25th percentile. Additionally, a J-shaped dose-response relationship was found between MetS score and the risk of all-cause mortality (pnonlinearity <.001), while a linear relationship between MetS score and the risk of CVD was observed in this study (pnonlinearity = .737). CONCLUSIONS This study suggests significant dose-response relationships between MetS score and the risk of CVD/mortality. Subjects without metabolic syndrome but with a relatively high MetS score should raise their awareness and pay more attention to the possible increased risk of CVD events.
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Affiliation(s)
- Xiaoya Tang
- School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.,Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Mingyang Wu
- Department of Maternal and Child Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.,Ministry of Education Key Laboratory of Environment and Health, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Shouling Wu
- Department of Cardiology, Kailuan Hospital, North China University of Science and Technology, Tangshan City, China
| | - Yaohua Tian
- Department of Maternal and Child Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.,Ministry of Education Key Laboratory of Environment and Health, 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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17
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Moderate Alcohol Use Is Associated with Reduced Cardiovascular Risk in Middle-Aged Men Independent of Health, Behavior, Psychosocial, and Earlier Life Factors. Nutrients 2022; 14:nu14112183. [PMID: 35683983 PMCID: PMC9182350 DOI: 10.3390/nu14112183] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2022] [Revised: 05/21/2022] [Accepted: 05/21/2022] [Indexed: 02/04/2023] Open
Abstract
We examined whether the often-reported protective association of alcohol with cardiovascular disease (CVD) risk could arise from confounding. Our sample comprised 908 men (56−67 years), free of prevalent CVD. Participants were categorized into 6 groups: never drinkers, former drinkers, and very light (1−4 drinks in past 14 days), light (5−14 drinks), moderate (15−28 drinks), and at-risk (>28 drinks) drinkers. Generalized linear mixed effect models examined the associations of alcohol use with three established CVD risk scores: The Framingham Risk Score (FRS); the atherosclerotic CVD (ASCVD) risk score; and the Metabolic Syndrome (MetS) Severity score, adjusting for group differences in demographics, body size, and health-related behaviors. In separate models we additionally adjusted for several groups of potentially explanatory factors including socioeconomic status, social support, physical and mental health status, childhood factors, and prior history of alcohol misuse. Results showed lower CVD risk among light and moderate alcohol drinkers, relative to very light drinkers, for all CVD risk scores, independent of demographics, body size, and health-related behaviors. Alcohol-CVD risk associations were robust to further adjustment for several groups of potential explanatory factors. Study limitations include the all-male sample with limited racial and ethnic diversity, and the inability to adjust for sugar consumption and for patterns of alcohol consumption. Although this observational study does not address causation, results show that middle-aged men who consume alcohol in moderation have lower CVD risk and better cardiometabolic health than men who consume little or no alcohol, independent of a variety of health, behavioral, psychosocial, and earlier life factors.
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Ghaddar B, Diotel N. Zebrafish: A New Promise to Study the Impact of Metabolic Disorders on the Brain. Int J Mol Sci 2022; 23:ijms23105372. [PMID: 35628176 PMCID: PMC9141892 DOI: 10.3390/ijms23105372] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2022] [Revised: 05/04/2022] [Accepted: 05/06/2022] [Indexed: 02/01/2023] Open
Abstract
Zebrafish has become a popular model to study many physiological and pathophysiological processes in humans. In recent years, it has rapidly emerged in the study of metabolic disorders, namely, obesity and diabetes, as the regulatory mechanisms and metabolic pathways of glucose and lipid homeostasis are highly conserved between fish and mammals. Zebrafish is also widely used in the field of neurosciences to study brain plasticity and regenerative mechanisms due to the high maintenance and activity of neural stem cells during adulthood. Recently, a large body of evidence has established that metabolic disorders can alter brain homeostasis, leading to neuro-inflammation and oxidative stress and causing decreased neurogenesis. To date, these pathological metabolic conditions are also risk factors for the development of cognitive dysfunctions and neurodegenerative diseases. In this review, we first aim to describe the main metabolic models established in zebrafish to demonstrate their similarities with their respective mammalian/human counterparts. Then, in the second part, we report the impact of metabolic disorders (obesity and diabetes) on brain homeostasis with a particular focus on the blood-brain barrier, neuro-inflammation, oxidative stress, cognitive functions and brain plasticity. Finally, we propose interesting signaling pathways and regulatory mechanisms to be explored in order to better understand how metabolic disorders can negatively impact neural stem cell activity.
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Tsao CW, Aday AW, Almarzooq ZI, Alonso A, Beaton AZ, Bittencourt MS, Boehme AK, Buxton AE, Carson AP, Commodore-Mensah Y, Elkind MSV, Evenson KR, Eze-Nliam C, Ferguson JF, Generoso G, Ho JE, Kalani R, Khan SS, Kissela BM, Knutson KL, Levine DA, Lewis TT, Liu J, Loop MS, Ma J, Mussolino ME, Navaneethan SD, Perak AM, Poudel R, Rezk-Hanna M, Roth GA, Schroeder EB, Shah SH, Thacker EL, VanWagner LB, Virani SS, Voecks JH, Wang NY, Yaffe K, Martin SS. Heart Disease and Stroke Statistics-2022 Update: A Report From the American Heart Association. Circulation 2022; 145:e153-e639. [PMID: 35078371 DOI: 10.1161/cir.0000000000001052] [Citation(s) in RCA: 2962] [Impact Index Per Article: 987.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
Abstract
BACKGROUND The American Heart Association, in conjunction with the National Institutes of Health, annually reports the most up-to-date statistics related to heart disease, stroke, and cardiovascular risk factors, including core health behaviors (smoking, physical activity, diet, and weight) and health factors (cholesterol, blood pressure, and glucose control) that contribute to cardiovascular health. The Statistical Update presents the latest data on a range of major clinical heart and circulatory disease conditions (including stroke, congenital heart disease, rhythm disorders, subclinical atherosclerosis, coronary heart disease, heart failure, valvular disease, venous disease, and peripheral artery disease) and the associated outcomes (including quality of care, procedures, and economic costs). METHODS The American Heart Association, through its Statistics Committee, continuously monitors and evaluates sources of data on heart disease and stroke in the United States to provide the most current information available in the annual Statistical Update. The 2022 Statistical Update is the product of a full year's worth of effort by dedicated volunteer clinicians and scientists, committed government professionals, and American Heart Association staff members. This year's edition includes data on the monitoring and benefits of cardiovascular health in the population and an enhanced focus on social determinants of health, adverse pregnancy outcomes, vascular contributions to brain health, and the global burden of cardiovascular disease and healthy life expectancy. RESULTS Each of the chapters in the Statistical Update focuses on a different topic related to heart disease and stroke statistics. CONCLUSIONS The Statistical Update represents a critical resource for the lay public, policymakers, media professionals, clinicians, health care administrators, researchers, health advocates, and others seeking the best available data on these factors and conditions.
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20
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Stability and Transformation of Metabolic Syndrome in Adolescents: A Prospective Assessment in Relation to the Change of Cardiometabolic Risk Factors. Nutrients 2022; 14:nu14040744. [PMID: 35215393 PMCID: PMC8875515 DOI: 10.3390/nu14040744] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2021] [Revised: 02/04/2022] [Accepted: 02/07/2022] [Indexed: 12/27/2022] Open
Abstract
Underlying pathophysiological mechanisms drive excessive clustering of cardiometabolic risk factors, causing metabolic syndrome (MetS). MetS status may transform as adolescents transition to young adulthood. This study investigated the latent clustering structure and its stability for MetS during adolescence, and assessed the anthropometric and clinical metabolic determinants for MetS transformation. A community-based representative adolescent cohort (n = 1516) was evaluated for MetS using four diagnostic criteria, and was followed for 2.2 years to identify new-onset MetS. The clustering structure underlying cardiometabolic parameters was stable across adolescence; both comprised a fat—blood pressure (BP)—glucose three-factor structure (total variance explained: 68.8% and 69.7% at baseline and follow-up, respectively). Among adolescents with MetS-negative at baseline, 3.2–4.4% had incident MetS after 2.2 years. Among adolescents with MetS-positive at baseline, 52.0–61.9% experienced MetS remission, and 38.1–48.0% experienced MetS persistence. Increased systolic BP (SBP) was associated with a high MetS incidence risk, while decreased levels of SBP and glucose were associated with MetS remission. Compared with adolescents with a normal metabolic status at baseline, those with an initial abdominal obesity and increased triglycerides level had a 15.0- and 5.7-fold greater risk for persistent abnormality, respectively. Abdominal obesity and low high-density lipoprotein cholesterol are two abnormal MetS components that highly persist during adolescence, and are the intervention targets for reducing the future risk of cardiometabolic disorders.
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21
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Wu M, Shu Y, Wang L, Song L, Chen S, Liu Y, Bi J, Li D, Yang Y, Hu Y, Wang Y, Wu S, Tian Y. Metabolic syndrome severity score and the progression of CKD. Eur J Clin Invest 2022; 52:e13646. [PMID: 34197633 DOI: 10.1111/eci.13646] [Citation(s) in RCA: 24] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/15/2021] [Revised: 06/28/2021] [Accepted: 06/30/2021] [Indexed: 01/10/2023]
Abstract
BACKGROUND Metabolic syndrome severity, expressed by the continuous metabolic syndrome risk score (MetS score), has been demonstrated to be able to predict future health conditions. However, little is known about the association between MetS score and renal function. METHODS A total of 22,719 participants with normal renal function abstracted from the Kailuan Study were followed from 2006 to 2016. The new onset of chronic kidney disease (CKD) was defined as eGFR <60 ml/min per 1.73 m2 and/or proteinuria >300 mg/dl. Progressive decline in renal function was defined as an annual change rate of eGFR below the 10th percentile of the whole population. RESULTS In the multivariate-adjusted model, we found that the risk of progressive decline in renal function increased consistently with the MetS score, with an odds ratio of 1.49 (95% CI, 1.28, 1.73) for those subjects>75th percentile compared with those <25th percentile. Additionally, a high MetS score was found to be associated with an increased risk of CKD, with a hazard ratio of 1.53 (95% CI, 1.33, 1.78) for subjects >75th percentile compared with those <25th percentile. CONCLUSIONS Our findings suggested that the MetS score was associated with an increased risk of a progressive decline in renal function and was also a strong and independent risk factor for the development of CKD. These findings provide evidence of the potential clinical utility of the MetS score for assessing metabolic syndrome severity to detect the risk of decreased renal function and CKD.
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Affiliation(s)
- Mingyang Wu
- Department of Maternal and Child Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.,Ministry of Education Key Laboratory of Environment and Health, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yanling Shu
- Department of Laboratory Medicine, Wuhan Children's Hospital, Tongji Medical College, Huazhong University of Science & Technology, Wuhan, China
| | - Lulin Wang
- Department of Maternal and Child Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.,Ministry of Education Key Laboratory of Environment and Health, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Lulu Song
- Department of Maternal and Child Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.,Ministry of Education Key Laboratory of Environment and Health, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Shuohua Chen
- Department of Cardiology, Kailuan Hospital, North China University of Science and Technology, Tangshan City, China
| | - Yunyun Liu
- Department of Maternal and Child Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.,Ministry of Education Key Laboratory of Environment and Health, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Jianing Bi
- Department of Maternal and Child Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.,Ministry of Education Key Laboratory of Environment and Health, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Dankang Li
- Department of Maternal and Child Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.,Ministry of Education Key Laboratory of Environment and Health, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yingping Yang
- Department of Maternal and Child Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.,Ministry of Education Key Laboratory of Environment and Health, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yonghua Hu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
| | - Youjie Wang
- Department of Maternal and Child Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.,Ministry of Education Key Laboratory of Environment and Health, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Shouling Wu
- Department of Cardiology, Kailuan Hospital, North China University of Science and Technology, Tangshan City, China
| | - Yaohua Tian
- Department of Maternal and Child Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.,Ministry of Education Key Laboratory of Environment and Health, 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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22
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Kwon S, Lee M, Crowley G, Schwartz T, Zeig-Owens R, Prezant DJ, Liu M, Nolan A. Dynamic Metabolic Risk Profiling of World Trade Center Lung Disease: A Longitudinal Cohort Study. Am J Respir Crit Care Med 2021; 204:1035-1047. [PMID: 34473012 PMCID: PMC8663002 DOI: 10.1164/rccm.202006-2617oc] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2020] [Accepted: 07/06/2021] [Indexed: 12/13/2022] Open
Abstract
Rationale: Metabolic syndrome (MetSyn) increases the risk of World Trade Center (WTC) lung injury (LI). However, the temporal relationship of MetSyn, exposure intensity, and lung dysfunction is not well understood. Objective: To model the association of longitudinal MetSyn characteristics with WTC lung disease to define modifiable risk. Methods: Firefighters, for whom consent was obtained (N = 5,738), were active duty on September 11, 2001 (9/11). WTC-LI (n = 1,475; FEV1% predicted
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Affiliation(s)
- Sophia Kwon
- Division of Pulmonary, Critical Care and Sleep Medicine, Department of Medicine
| | - Myeonggyun Lee
- Division of Biostatistics, Department of Population Health, and
| | - George Crowley
- Division of Pulmonary, Critical Care and Sleep Medicine, Department of Medicine
| | - Theresa Schwartz
- Bureau of Health Services and Office of Medical Affairs, Fire Department of New York, Brooklyn, New York; and
| | - Rachel Zeig-Owens
- Bureau of Health Services and Office of Medical Affairs, Fire Department of New York, Brooklyn, New York; and
- Department of Epidemiology and Population Health and
| | - David J. Prezant
- Bureau of Health Services and Office of Medical Affairs, Fire Department of New York, Brooklyn, New York; and
- Pulmonary Medicine Division, Department of Medicine, Montefiore Medical Center and Albert Einstein College of Medicine, Bronx, New York
| | - Mengling Liu
- Division of Biostatistics, Department of Population Health, and
- Department of Environmental Medicine, New York University School of Medicine, New York, New York
| | - Anna Nolan
- Division of Pulmonary, Critical Care and Sleep Medicine, Department of Medicine
- Department of Environmental Medicine, New York University School of Medicine, New York, New York
- Bureau of Health Services and Office of Medical Affairs, Fire Department of New York, Brooklyn, New York; and
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23
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He C, Wang W, Chen Q, Shen Z, Pan E, Sun Z, Lou P, Zhang X. Factors associated with stroke among patients with type 2 diabetes mellitus in China: a propensity score matched study. Acta Diabetol 2021; 58:1513-1523. [PMID: 34125293 DOI: 10.1007/s00592-021-01758-y] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/23/2021] [Accepted: 06/05/2021] [Indexed: 12/25/2022]
Abstract
OBJECTIVE This study aimed to examine the prevalence of stroke and associated factors of stroke in patients with type 2 diabetes(T2DM) in China. METHODS Participants were 18,013 T2DM patients recruited with stratified random cluster sampling method from December 2013 to January 2014 in China. Propensity score matching was used to eliminate confounding effects between groups and logistic regression analysis was used to examine factors associated with stroke among T2DM patients. RESULTS Overall, the prevalence of stroke in the subjects with T2DM was 9.5%. After nearest neighbor matching, smoking (OR = 1.60, 95%CI: 1.26-2.03), hypertension (OR = 2.96, 95%CI: 2.55-3.43), dyslipidemia (OR = 2.00, 95%CI: 1.71-2.33), family history of stroke (OR = 2.02, 95%CI: 1.61-2.54), obesity (OR = 1.21, 95%CI: 1.01-1.45) and sleep duration < 6 h/day (OR = 1.44, 95%CI: 1.20-1.73) or > 8 h/day (OR = 1.22, 95%CI: 1.05-1.42) were positively associated with stroke, whereas drinking 1-3 days/week (OR = 0.64, 95%CI: 0.45-0.90) or daily (OR = 0.45, 95%CI: 0.33-0.60), effective exercise (OR = 0.65, 95%CI: 0.57-0.73) and underweight (OR = 0.30, 95%CI: 0.13-0.71) were negatively related to stroke. Besides, the risk of stroke increased substantially with accumulation of above seven modified risk factors. The odds ratio values of stroke in patients having ≥ 5 of the above seven risk factors was 14.39 (95% CI: 8.87-23.26). CONCLUSIONS The prevalence of stroke was high among T2DM in China. It is of great significance to strengthen comprehensive management of health-related behaviors including smoking cessation, moderate alcohol consumption, effective exercise, 6-8 h of sleep duration, keeping normal weight and the prevention of hypertension and dyslipidemia to have sustained beneficial effects on improvements of stroke risk factors.
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Affiliation(s)
- Chenlu He
- School of Public Health, Xuzhou Medical University, Xuzhou, 221004, Jiangsu, China
| | - Wei Wang
- School of Public Health, Xuzhou Medical University, Xuzhou, 221004, Jiangsu, China.
| | - Qian Chen
- School of Public Health, Xuzhou Medical University, Xuzhou, 221004, Jiangsu, China
| | - Ziyuan Shen
- School of Public Health, Xuzhou Medical University, Xuzhou, 221004, Jiangsu, China
| | - Enchun Pan
- Huai´an Center for Disease Control and Prevention, Huai´an, 223001, Jiangsu, China
| | - Zhongming Sun
- Huai´an Center for Disease Control and Prevention, Huai´an, 223001, Jiangsu, China
| | - Peian Lou
- Xuzhou Center for Disease Control and Prevention, Xuzhou, 221000, Jiangsu, China
| | - Xunbao Zhang
- School of Public Health, Xuzhou Medical University, Xuzhou, 221004, Jiangsu, China.
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24
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Leak-Johnson T, Yan F, Daniels P. What the Jackson Heart Study Has Taught Us About Diabetes and Cardiovascular Disease in the African American Community: a 20-year Appreciation. Curr Diab Rep 2021; 21:39. [PMID: 34495422 DOI: 10.1007/s11892-021-01413-4] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 06/25/2021] [Indexed: 01/10/2023]
Abstract
PURPOSE OF REVIEW The burden of cardiometabolic diseases such as cardiovascular disease (CVD) and type 2 diabetes (T2D) is pronounced among African Americans. Research has shown that behavioral, social, metabolic, psychosocial, and genetic risk factors of CVD and T2D are closely interwoven. Approximately 20 years ago, the Jackson Heart Study (JHS) was established to investigate this constellation of risk factors. RECENT FINDINGS Findings from neighborhood studies emphasize the importance of social cohesion and physical environment in the context CVD and T2D risk. Socioeconomic status factors such as income and education were significant predictors for CVD and T2D. Behavioral studies indicate that modifiable risk factors such as smoking, physical inactivity, lack of sleep, and poor nutrition are associated with CVD risk and all-cause mortality. Mental health also was found to be associated with CVD and T2D. Genetic influences are associated with disease etiology. This review summarizes the joint contributions of CVD and cardiometabolic risk factors in an African American population.
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Affiliation(s)
- Tennille Leak-Johnson
- Cardiovascular Research Institute, Morehouse School of Medicine, Atlanta, GA, 30310, USA.
- Department of Physiology, Morehouse School of Medicine, Atlanta, GA, USA.
| | - Fengxia Yan
- The Research Design and Biostatistics Core, Morehouse School of Medicine, Atlanta, GA, USA
- Community Health & Preventive Medicine, Morehouse School of Medicine, Atlanta, GA, USA
| | - Pamela Daniels
- The Research Design and Biostatistics Core, Morehouse School of Medicine, Atlanta, GA, USA
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25
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Wan JY, Goodman DL, Willems EL, Freedland AR, Norden-Krichmar TM, Santorico SA, Edwards KL. Genome-wide association analysis of metabolic syndrome quantitative traits in the GENNID multiethnic family study. Diabetol Metab Syndr 2021; 13:59. [PMID: 34074324 PMCID: PMC8170963 DOI: 10.1186/s13098-021-00670-3] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/19/2021] [Accepted: 04/28/2021] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND To identify genetic associations of quantitative metabolic syndrome (MetS) traits and characterize heterogeneity across ethnic groups. METHODS Data was collected from GENetics of Noninsulin dependent Diabetes Mellitus (GENNID), a multiethnic resource of Type 2 diabetic families and included 1520 subjects in 259 African-American, European-American, Japanese-Americans, and Mexican-American families. We focused on eight MetS traits: weight, waist circumference, systolic and diastolic blood pressure, high-density lipoprotein, triglycerides, fasting glucose, and insulin. Using genotyped and imputed data from Illumina's Multiethnic array, we conducted genome-wide association analyses with linear mixed models for all ethnicities, except for the smaller Japanese-American group, where we used additive genetic models with gene-dropping. RESULTS Findings included ethnic-specific genetic associations and heterogeneity across ethnicities. Most significant associations were outside our candidate linkage regions and were coincident within a gene or intergenic region, with two exceptions in European-American families: (a) within previously identified linkage region on chromosome 2, two significant GLI2-TFCP2L1 associations with weight, and (b) one chromosome 11 variant near CADM1-LINC00900 with pleiotropic blood pressure effects. CONCLUSIONS This multiethnic family study found genetic heterogeneity and coincident associations (with one case of pleiotropy), highlighting the importance of including diverse populations in genetic research and illustrating the complex genetic architecture underlying MetS.
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Affiliation(s)
- Jia Y Wan
- Department of Epidemiology and Biostatistics, Program in Public Health, University of California, 635 E. Peltason Dr, Mail Code: 7550, Irvine, CA, 92697, USA
| | - Deborah L Goodman
- Department of Epidemiology and Biostatistics, Program in Public Health, University of California, 635 E. Peltason Dr, Mail Code: 7550, Irvine, CA, 92697, USA
| | - Emileigh L Willems
- Department of Mathematical and Statistical Sciences, University of Colorado, Denver, CO, USA
| | - Alexis R Freedland
- Department of Epidemiology and Biostatistics, Program in Public Health, University of California, 635 E. Peltason Dr, Mail Code: 7550, Irvine, CA, 92697, USA
| | - Trina M Norden-Krichmar
- Department of Epidemiology and Biostatistics, Program in Public Health, University of California, 635 E. Peltason Dr, Mail Code: 7550, Irvine, CA, 92697, USA
| | - Stephanie A Santorico
- Department of Mathematical and Statistical Sciences, University of Colorado, Denver, CO, USA
- Human Medical Genetics and Genomics Program, University of Colorado, Denver, CO, USA
- Department of Biostatistics & Informatics, University of Colorado, Denver, CO, USA
- Division of Biomedical Informatics & Personalized Medicine, University of Colorado School of Medicine, Aurora, CO, USA
| | - Karen L Edwards
- Department of Epidemiology and Biostatistics, Program in Public Health, University of California, 635 E. Peltason Dr, Mail Code: 7550, Irvine, CA, 92697, USA.
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26
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Cardel MI, DeBoer MD, Gurka MJ. The Relationship between Objective and Subjective Measures of Socioeconomic Status on Metabolic Syndrome Severity Among African American Adults. Psychoneuroendocrinology 2020; 122:104832. [PMID: 32847737 PMCID: PMC8086550 DOI: 10.1016/j.psyneuen.2020.104832] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/10/2020] [Accepted: 08/11/2020] [Indexed: 11/19/2022]
Affiliation(s)
- Michelle I Cardel
- Department of Health Outcomes and Biomedical Informatics, University of Florida, PO Box 100177, Gainesville, Florida, 32610-0177, USA.
| | - Mark D DeBoer
- Department of Pediatrics, PO Box 800386, University of Virginia Health System, Charlottesville, Virginia, 22908-0386, USA.
| | - Matthew J Gurka
- Department of Health Outcomes and Biomedical Informatics, University of Florida, PO Box 100177, Gainesville, Florida, 32610-0177, USA.
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27
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Garg R, Knox N, Prasad S, Zinzuwadia S, Rech MA. The Atherogenic Index of Plasma is Independently Associated with Symptomatic Carotid Artery Stenosis. J Stroke Cerebrovasc Dis 2020; 29:105351. [PMID: 33045624 DOI: 10.1016/j.jstrokecerebrovasdis.2020.105351] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2020] [Revised: 08/04/2020] [Accepted: 09/21/2020] [Indexed: 02/05/2023] Open
Abstract
INTRODUCTION Small, dense low-density lipoprotein (sdLDL) is strongly associated with symptomatic carotid artery stenosis, but is not routinely evaluated in ischemic stroke patients. A method using the logarithmic transformation of the ratio of the plasma concentration of triglycerides (TGY) to HDL-cholesterol (HDL-C)[(Log[TGY/HDL-C])] has been described as a surrogate marker for sdLDL termed the atherogenic index of plasma (AIP). OBJECTIVE To determine if the AIP is independently associated with symptomatic carotid artery stenosis. METHODS We conducted a single center case-controlled study using a sample of ischemic stroke patients and compared risk factors of patients with and without symptomatic carotid artery stenosis. A multivariate logistic regression model was used to determine if the AIP divided into four quartiles was independently associated with symptomatic carotid artery stenosis. This model was compared to three other lipid models. Associations between non-lipid variables and the AIP were also identified. RESULTS 31 cases of ischemic stroke due to symptomatic carotid artery stenosis and 236 controls of ischemic stroke not due to carotid artery stenosis were identified. Of the four lipid models assessed, only the model including the AIP (model 4) was found to be significantly associated with symptomatic carotid artery stenosis. The odd's ratio (OR) for quartile 3 was 3.82 (95% CI 1.03-14.17) and the OR for quartile 4 was 4.13 (95% CI 1.09-15.54) using quartile 1 as a reference. Metabolic syndrome was the only variable associated with the AIP (OR 5.06 95% CI 2.6-9.7). CONCLUSION At our single center, the AIP was the only lipid parameter independently associated with symptomatic carotid artery stenosis; and metabolic syndrome was independently associated with the AIP. The AIP may serve as a useful surrogate of sdLDL in patients with symptomatic carotid artery stenosis.
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Affiliation(s)
- Ravi Garg
- Department of Neurology, Division of Neurocritical Care, Stritch School of Medicine at Loyola University, Maywood, Illinois, USA.
| | - Natalie Knox
- Stritch School of Medicine at Loyola University, Maywood, Illinois, USA
| | - Supritha Prasad
- Stritch School of Medicine at Loyola University, Maywood, Illinois, USA
| | - Shuchi Zinzuwadia
- Stritch School of Medicine at Loyola University, Maywood, Illinois, USA
| | - Megan A Rech
- Department of Emergency Medicine, Stritch School of Medicine at Loyola University, Maywood, Illinois, USA; Department of Pharmacy Service, Loyola University Medical Center, Maywood, Illinois, USA
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