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Li Y, Liu H, Shen C, Li J, Liu F, Huang K, Gu D, Li Y, Lu X. Association of genetic variants related to combined lipid-lowering and antihypertensive therapies with risk of cardiovascular disease: 2 × 2 factorial Mendelian randomization analyses. BMC Med 2024; 22:201. [PMID: 38764043 DOI: 10.1186/s12916-024-03407-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/13/2023] [Accepted: 04/25/2024] [Indexed: 05/21/2024] Open
Abstract
BACKGROUND Lipid-lowering drugs and antihypertensive drugs are commonly combined for cardiovascular disease (CVD). However, the relationship of combined medications with CVD remains controversial. We aimed to explore the associations of genetically proxied medications of lipid-lowering and antihypertensive drugs, either alone or both, with risk of CVD, other clinical and safety outcomes. METHODS We divided 423,821 individuals in the UK Biobank into 4 groups via median genetic scores for targets of lipid-lowering drugs and antihypertensive drugs: lower low-density lipoprotein cholesterol (LDL-C) mediated by targets of statins or proprotein convertase subtilisin/kexin type 9 (PCSK9) inhibitors, lower systolic blood pressure (SBP) mediated by targets of β-blockers (BBs) or calcium channel blockers (CCBs), combined genetically lower LDL-C and SBP, and reference (genetically both higher LDL-C and SBP). Associations with risk of CVD and other clinical outcomes were explored among each group in factorial Mendelian randomization. RESULTS Independent and additive effects were observed between genetically proxied medications of lipid-lowering and antihypertensive drugs with CVD (including coronary artery disease, stroke, and peripheral artery diseases) and other clinical outcomes (ischemic stroke, hemorrhagic stroke, heart failure, diabetes mellitus, chronic kidney disease, and dementia) (P > 0.05 for interaction in all outcomes). Take the effect of PCSK9 inhibitors and BBs on CVD for instance: compared with the reference, PCSK9 group had a 4% lower risk of CVD (odds ratio [OR], 0.96; 95%CI, 0.94-0.99), and a 3% lower risk was observed in BBs group (OR, 0.97; 95%CI, 0.94-0.99), while combined both were associated with a 6% additively lower risk (OR, 0.94; 95%CI, 0.92-0.97; P = 0.87 for interaction). CONCLUSIONS Genetically proxied medications of combined lipid-lowering and antihypertensive drugs have an independent and additive effects on CVD, other clinical and safety outcomes, with implications for CVD clinical practice, subsequent trials as well as drug development of polypills.
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Affiliation(s)
- Ying Li
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, 211166, China
- Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100037, China
- Key Laboratory of Cardiovascular Epidemiology, Chinese Academy of Medical Sciences, Beijing, 100037, China
| | - Hongwei Liu
- Department of Cancer Epidemiology, The Affiliated Cancer Hospital of Zhengzhou University and Henan Cancer Hospital, Zhengzhou, 450008, China
| | - Chong Shen
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, 211166, China
- Research Units of Cohort Study On Cardiovascular Diseases and Cancers, Chinese Academy of Medical Sciences, Beijing, 100730, China
| | - Jianxin Li
- Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100037, China
- Key Laboratory of Cardiovascular Epidemiology, Chinese Academy of Medical Sciences, Beijing, 100037, China
| | - Fangchao Liu
- Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100037, China
- Key Laboratory of Cardiovascular Epidemiology, Chinese Academy of Medical Sciences, Beijing, 100037, China
| | - Keyong Huang
- Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100037, China
- Key Laboratory of Cardiovascular Epidemiology, Chinese Academy of Medical Sciences, Beijing, 100037, China
| | - Dongfeng Gu
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, 211166, China
- Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100037, China
- Key Laboratory of Cardiovascular Epidemiology, Chinese Academy of Medical Sciences, Beijing, 100037, China
- School of Public Health and Emergency Management, Southern University of Science and Technology, Shenzhen, 518055, China
- School of Medicine, Southern University of Science and Technology, Shenzhen, 518055, China
| | - Yun Li
- School of Public Health, North China University of Science and Technology, Tangshan, 063210, China.
| | - Xiangfeng Lu
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, 211166, China.
- Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100037, China.
- Key Laboratory of Cardiovascular Epidemiology, Chinese Academy of Medical Sciences, Beijing, 100037, China.
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Lin Z, Li J, Liu F, Cao J, Chen S, Chen J, Huang K, Wang Y, Li H, Wang Y, Huang J, Gu D, Lu X. Metabolomics signature of blood pressure salt sensitivity and its link to cardiovascular disease: A dietary salt-intervention trial. Sci China Life Sci 2024:10.1007/s11427-023-2507-9. [PMID: 38739172 DOI: 10.1007/s11427-023-2507-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/23/2023] [Accepted: 12/11/2023] [Indexed: 05/14/2024]
Abstract
Individuals with a high degree of salt sensitivity (SS) have a greater risk of cardiovascular disease (CVD), but whether SS fosters CVD by influencing metabolomics homeostasis remains unclear. This study aimed to reveal the role of the SS-related metabolomics signature in the development of CVDs, based on the MetaSalt study, which was a dietary salt-intervention trial conducted at four centers in China in 2019. A total of 528 participants were recruited and underwent 3 days of baseline observations, a 10-day low-salt intervention, and a 10-day high-salt intervention. Plasma untargeted metabolomics, lipidomics, and BP measurements were scheduled at each stage. Participants were grouped into extreme SS, moderate SS, and salt-resistant (SR) individuals according to their BP responses to salt. Linear mixed models were used to identify SS-related metabolites and determine the relationship between the SS-related metabolomics signature and arterial stiffness. Mendelian randomization (MR) analyses were applied to establish the causal pathways among the SS-related metabolites, BP, and CVDs. Among the 713 metabolites, 467 were significantly changed after the high-salt intervention. Among them, the changes in 30 metabolites from the low-salt to the high-salt intervention differed among the SS groups. Of the remaining nonsalt-related metabolites, the baseline levels of 11 metabolites were related to SS. These 41 metabolites explained 23% of the variance in SS. Moreover, SS and its metabolomics signature were positively correlated with arterial stiffness. MR analyses demonstrated that the SS-related metabolites may affect CVD risk by altering BP, indicating that the increase in BP was the consequence of the changes in SS-related metabolites rather than the cause. Our study revealed that the metabolomics signature of SS individuals differs from that of SR individuals and that the changes in SS-related metabolites may increase arterial stiffness and foster CVDs. This study provides insight into understanding the biology and targets of SS and its role in CVDs.
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Affiliation(s)
- Zhennan Lin
- Key Laboratory of Cardiovascular Epidemiology, Department of Epidemiology, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College/National Center for Cardiovascular Diseases, Beijing, 100037, China
| | - Jianxin Li
- Key Laboratory of Cardiovascular Epidemiology, Department of Epidemiology, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College/National Center for Cardiovascular Diseases, Beijing, 100037, China
| | - Fangchao Liu
- Key Laboratory of Cardiovascular Epidemiology, Department of Epidemiology, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College/National Center for Cardiovascular Diseases, Beijing, 100037, China
| | - Jie Cao
- Key Laboratory of Cardiovascular Epidemiology, Department of Epidemiology, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College/National Center for Cardiovascular Diseases, Beijing, 100037, China
| | - Shufeng Chen
- Key Laboratory of Cardiovascular Epidemiology, Department of Epidemiology, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College/National Center for Cardiovascular Diseases, Beijing, 100037, China
| | - Jichun Chen
- Key Laboratory of Cardiovascular Epidemiology, Department of Epidemiology, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College/National Center for Cardiovascular Diseases, Beijing, 100037, China
| | - Keyong Huang
- Key Laboratory of Cardiovascular Epidemiology, Department of Epidemiology, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College/National Center for Cardiovascular Diseases, Beijing, 100037, China
| | - Yaqin Wang
- Key Laboratory of Cardiovascular Epidemiology, Department of Epidemiology, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College/National Center for Cardiovascular Diseases, Beijing, 100037, China
| | - Hongfan Li
- Key Laboratory of Cardiovascular Epidemiology, Department of Epidemiology, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College/National Center for Cardiovascular Diseases, Beijing, 100037, China
| | - Yan Wang
- Key Laboratory of Cardiovascular Epidemiology, Department of Epidemiology, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College/National Center for Cardiovascular Diseases, Beijing, 100037, China
| | - Jianfeng Huang
- Key Laboratory of Cardiovascular Epidemiology, Department of Epidemiology, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College/National Center for Cardiovascular Diseases, Beijing, 100037, China
| | - Dongfeng Gu
- Key Laboratory of Cardiovascular Epidemiology, Department of Epidemiology, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College/National Center for Cardiovascular Diseases, Beijing, 100037, China.
- Medical School, Southern University of Science and Technology, Shenzhen, 518055, China.
| | - Xiangfeng Lu
- Key Laboratory of Cardiovascular Epidemiology, Department of Epidemiology, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College/National Center for Cardiovascular Diseases, Beijing, 100037, China.
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Conn K, Milton LK, Huang K, Munguba H, Ruuska J, Lemus MB, Greaves E, Homman-Ludiye J, Oldfield BJ, Foldi CJ. Psilocybin restrains activity-based anorexia in female rats by enhancing cognitive flexibility: contributions from 5-HT1A and 5-HT2A receptor mechanisms. Mol Psychiatry 2024:10.1038/s41380-024-02575-9. [PMID: 38678087 DOI: 10.1038/s41380-024-02575-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/13/2023] [Revised: 04/16/2024] [Accepted: 04/19/2024] [Indexed: 04/29/2024]
Abstract
Psilocybin has shown promise for alleviating symptoms of depression and is currently in clinical trials for the treatment of anorexia nervosa (AN), a condition that is characterised by persistent cognitive inflexibility. Considering that enhanced cognitive flexibility after psilocybin treatment is reported to occur in individuals with depression, it is plausible that psilocybin could improve symptoms of AN by breaking down cognitive inflexibility. A mechanistic understanding of the actions of psilocybin is required to tailor the clinical application of psilocybin to individuals most likely to respond with positive outcomes. This can only be achieved using incisive neurobiological approaches in animal models. Here, we use the activity-based anorexia (ABA) rat model and comprehensively assess aspects of reinforcement learning to show that psilocybin (post-acutely) improves body weight maintenance in female rats and facilitates cognitive flexibility, specifically via improved adaptation to the initial reversal of reward contingencies. Further, we reveal the involvement of signalling through the serotonin (5-HT) 1 A and 5-HT2A receptor subtypes in specific aspects of learning, demonstrating that 5-HT1A antagonism negates the cognitive enhancing effects of psilocybin. Moreover, we show that psilocybin elicits a transient increase and decrease in cortical transcription of these receptors (Htr2a and Htr1a, respectively), and a further reduction in the abundance of Htr2a transcripts in rats exposed to the ABA model. Together, these findings support the hypothesis that psilocybin could ameliorate cognitive inflexibility in the context of AN and highlight a need to better understand the therapeutic mechanisms independent of 5-HT2A receptor binding.
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Affiliation(s)
- K Conn
- Monash University, Department of Physiology, 26 Innovation Walk, Clayton, VIC, 3800, Australia
- Monash Biomedicine Discovery Institute, 23 Innovation Walk, Clayton, VIC, 3800, Australia
| | - L K Milton
- Monash University, Department of Physiology, 26 Innovation Walk, Clayton, VIC, 3800, Australia
- Monash Biomedicine Discovery Institute, 23 Innovation Walk, Clayton, VIC, 3800, Australia
| | - K Huang
- Monash University, Department of Physiology, 26 Innovation Walk, Clayton, VIC, 3800, Australia
- Monash Biomedicine Discovery Institute, 23 Innovation Walk, Clayton, VIC, 3800, Australia
| | - H Munguba
- Department of Biochemistry, Weill Cornell Medicine, New York, NY, 10065, USA
| | - J Ruuska
- University of Helsinki, Yliopistonkatu 4, 00100, Helsinki, Finland
| | - M B Lemus
- Monash University, Department of Physiology, 26 Innovation Walk, Clayton, VIC, 3800, Australia
- Monash Biomedicine Discovery Institute, 23 Innovation Walk, Clayton, VIC, 3800, Australia
| | - E Greaves
- Monash University, Department of Physiology, 26 Innovation Walk, Clayton, VIC, 3800, Australia
- Monash Biomedicine Discovery Institute, 23 Innovation Walk, Clayton, VIC, 3800, Australia
| | - J Homman-Ludiye
- Monash Micro Imaging, Monash University, 15 Innovation Walk, Clayton, VIC, 3800, Australia
| | - B J Oldfield
- Monash University, Department of Physiology, 26 Innovation Walk, Clayton, VIC, 3800, Australia
- Monash Biomedicine Discovery Institute, 23 Innovation Walk, Clayton, VIC, 3800, Australia
| | - C J Foldi
- Monash University, Department of Physiology, 26 Innovation Walk, Clayton, VIC, 3800, Australia.
- Monash Biomedicine Discovery Institute, 23 Innovation Walk, Clayton, VIC, 3800, Australia.
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Jia Y, He Z, Liu F, Li J, Liang F, Huang K, Chen J, Cao J, Li H, Shen C, Yu L, Liu X, Hu D, Huang J, Zhao Y, Liu Y, Lu X, Gu D, Chen S. Dietary intake changes the associations between long-term exposure to fine particulate matter and the surrogate indicators of insulin resistance. Environ Int 2024; 186:108626. [PMID: 38626493 DOI: 10.1016/j.envint.2024.108626] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/05/2023] [Revised: 03/31/2024] [Accepted: 04/02/2024] [Indexed: 04/18/2024]
Abstract
The relationship of fine particulate matter (PM2.5) exposure and insulin resistance remains inclusive. Our study aimed to investigate this association in the project of Prediction for Atherosclerotic Cardiovascular Disease Risk in China (China-PAR). Specifically, we examined the associations between long-term PM2.5 exposure and three surrogate indicators of insulin resistance: the triglyceride-glucose index (TyG), TyG with waist circumference (TyG-WC) and metabolic score for insulin resistance (METS-IR). Additionally, we explored potential effect modification of dietary intake and components. Generalized estimating equations were used to evaluate the associations between PM2.5 and the indicators with an unbalanced repeated measurement design. Our analysis incorporated a total of 162,060 observations from 99,329 participants. Each 10 μg/m3 increment of PM2.5 was associated with an increase of 0.22 % [95 % confidence interval (CI): 0.20 %, 0.25 %], 1.60 % (95 % CI: 1.53 %, 1.67 %), and 2.05 % (95 % CI: 1.96 %, 2.14 %) in TyG, TyG-WC, and METS-IR, respectively. These associations were attenuated among participants with a healthy diet, particularly those with sufficient intake of fruit and vegetable, fish or tea (pinteraction < 0.0028). For instance, among participants with a healthy diet, TyG increased by 0.11 % (95 % CI: 0.08 %, 0.15 %) per 10 μg/m3 PM2.5 increment, significantly lower than the association observed in those with an unhealthy diet. The findings of this study emphasize the potential of a healthy diet to mitigate these associations, highlighting the urgency for improving air quality and implementing dietary interventions among susceptible populations in China.
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Affiliation(s)
- Yanhui Jia
- Key Laboratory of Cardiovascular Epidemiology, Department of Epidemiology, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College/National Center for Cardiovascular Diseases, Beijing 100037, China; Vanke School of Public Health, Tsinghua University, Beijing 100084, China
| | - Zhi He
- Key Laboratory of Cardiovascular Epidemiology, Department of Epidemiology, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College/National Center for Cardiovascular Diseases, Beijing 100037, China
| | - Fangchao Liu
- Key Laboratory of Cardiovascular Epidemiology, Department of Epidemiology, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College/National Center for Cardiovascular Diseases, Beijing 100037, China
| | - Jianxin Li
- Key Laboratory of Cardiovascular Epidemiology, Department of Epidemiology, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College/National Center for Cardiovascular Diseases, Beijing 100037, China
| | - Fengchao Liang
- School of Public Health and Emergency Management, Southern University of Science and Technology, Shenzhen 518055, China
| | - Keyong Huang
- Key Laboratory of Cardiovascular Epidemiology, Department of Epidemiology, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College/National Center for Cardiovascular Diseases, Beijing 100037, China
| | - Jichun Chen
- Key Laboratory of Cardiovascular Epidemiology, Department of Epidemiology, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College/National Center for Cardiovascular Diseases, Beijing 100037, China
| | - Jie Cao
- Key Laboratory of Cardiovascular Epidemiology, Department of Epidemiology, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College/National Center for Cardiovascular Diseases, Beijing 100037, China
| | - Hongfan Li
- Key Laboratory of Cardiovascular Epidemiology, Department of Epidemiology, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College/National Center for Cardiovascular Diseases, Beijing 100037, China
| | - Chong Shen
- School of Public Health, Nanjing Medical University, Nanjing 211166, China
| | - Ling Yu
- Department of Cardiology, Fujian Provincial Hospital, Fuzhou 350014, China
| | - Xiaoqing Liu
- Division of Epidemiology, Guangdong Provincial People's Hospital and Cardiovascular Institute, Guangzhou 510080, China
| | - Dongsheng Hu
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou 450001, China; Department of Biostatistics and Epidemiology, School of Public Health, Shenzhen University, Shenzhen 518060, China
| | - Jianfeng Huang
- Key Laboratory of Cardiovascular Epidemiology, Department of Epidemiology, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College/National Center for Cardiovascular Diseases, Beijing 100037, China
| | - Yingxin Zhao
- Cardio-Cerebrovascular Control and Research Center, Institute of Basic Medicine, Shandong First Medical University (Shandong Academy of Medicine Sciences), Jinan 271099, China
| | - Yang Liu
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, Georgia
| | - Xiangfeng Lu
- Key Laboratory of Cardiovascular Epidemiology, Department of Epidemiology, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College/National Center for Cardiovascular Diseases, Beijing 100037, China
| | - Dongfeng Gu
- Key Laboratory of Cardiovascular Epidemiology, Department of Epidemiology, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College/National Center for Cardiovascular Diseases, Beijing 100037, China; School of Public Health and Emergency Management, School of Medicine, Southern University of Science and Technology, Shenzhen 518055, China
| | - Shufeng Chen
- Key Laboratory of Cardiovascular Epidemiology, Department of Epidemiology, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College/National Center for Cardiovascular Diseases, Beijing 100037, China.
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Zhao K, Shen X, Liu H, Lin Z, Li J, Chen S, Liu F, Huang K, Cao J, Liu X, Shen C, Yu L, Zhao Y, Zhao L, Li Y, Hu D, Huang J, Lu X, Gu D. Somatic and Germline Variants and Coronary Heart Disease in a Chinese Population. JAMA Cardiol 2024; 9:233-242. [PMID: 38198131 PMCID: PMC10782380 DOI: 10.1001/jamacardio.2023.5095] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/30/2023] [Accepted: 10/03/2023] [Indexed: 01/11/2024]
Abstract
Importance The genetic basis of coronary heart disease (CHD) has expanded from a germline to somatic genome, including clonal hematopoiesis of indeterminate potential (CHIP). How CHIP confers CHD risk in East Asian individuals, especially those with small clones (variant allele fraction [VAF] 0.5%-2%) and different genetic backgrounds, was completely unknown. Objective To investigate the CHIP profile in a general Chinese cohort by deep sequencing and further explore the association between CHIP and incident CHD considering germline predisposition. Design, Setting, and Participants This cohort study used data from 3 prospective cohorts in the project Prediction for Atherosclerotic Cardiovascular Disease Risk in China. Participants without cardiovascular disease or cancer at baseline were enrolled in 2001 and 2008 and had a median follow-up of 12.17 years extending into 2021. Exposures CHIP mutations were detected by targeted sequencing (mean depth, 916×). A predefined CHD polygenic risk score (PRS) comprising 531 variants was used to evaluate germline predisposition. Main Outcomes and Measures The main outcome was first incident CHD. Results Among 6181 participants, the median (IQR) age was 53.83 years (45.35-62.39 years); 3082 participants (49.9%) were female, and 3099 (50.1%) were male. A total of 1100 individuals (17.80%) harbored 1372 CHIP mutations at baseline. CHIP was independently associated with incident CHD (hazard ratio [HR], 1.42; 95% CI, 1.18-1.72; P = 2.82 × 10-4) and presented a risk gradient with increasing VAF (P = 3.98 × 10-3 for trend). Notably, individuals with small clones, nearly half of CHIP carriers, also demonstrated a higher CHD risk compared with non-CHIP carriers (HR, 1.33; 95% CI, 1.02-1.74; P = .03) and were 4 years younger than those with VAF of 2% or greater (median age, 58.52 vs 62.70 years). Heightened CHD risk was not observed among CHIP carriers with low PRS (HR, 1.02; 95% CI, 0.64-1.64; P = .92), while high PRS and CHIP jointly contributed a 2.23-fold increase in risk (95% CI, 1.51-3.29; P = 6.29 × 10-5) compared with non-CHIP carriers with low PRS. Interestingly, the diversity in CHIP-related CHD risk within each PRS group was substantially diminished when removing variants in the inflammatory pathway from the PRS. Conclusions This study revealed that elevated CHD risk attributed to CHIP was nonnegligible even for small clones. Inflammation genes involved in CHD could aggravate or abrogate CHIP-related CHD risk.
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Affiliation(s)
- Kun Zhao
- Key Laboratory of Cardiovascular Epidemiology & Department of Epidemiology, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Xuxiang Shen
- Key Laboratory of Cardiovascular Epidemiology & Department of Epidemiology, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Hongwei Liu
- Key Laboratory of Cardiovascular Epidemiology & Department of Epidemiology, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Zhennan Lin
- Key Laboratory of Cardiovascular Epidemiology & Department of Epidemiology, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Jianxin Li
- Key Laboratory of Cardiovascular Epidemiology & Department of Epidemiology, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Shufeng Chen
- Key Laboratory of Cardiovascular Epidemiology & Department of Epidemiology, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Fangchao Liu
- Key Laboratory of Cardiovascular Epidemiology & Department of Epidemiology, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Keyong Huang
- Key Laboratory of Cardiovascular Epidemiology & Department of Epidemiology, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Jie Cao
- Key Laboratory of Cardiovascular Epidemiology & Department of Epidemiology, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Xiaoqing Liu
- Division of Epidemiology, Guangdong Provincial People’s Hospital and Cardiovascular Institute, Guangzhou, China
| | - Chong Shen
- Department of Epidemiology and Biostatistics, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Ling Yu
- Department of Cardiology, Fujian Provincial Hospital, Fuzhou, China
| | - Yingxin Zhao
- Cardio-Cerebrovascular Control and Research Center, Institute of Basic Medicine, Shandong Academy of Medical Sciences, Jinan, China
| | - Liancheng Zhao
- Key Laboratory of Cardiovascular Epidemiology & Department of Epidemiology, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Ying Li
- Key Laboratory of Cardiovascular Epidemiology & Department of Epidemiology, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Dongsheng Hu
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, China
- Department of Biostatistics and Epidemiology, School of Public Health, Shenzhen University Health Science Center, Shenzhen, China
| | - Jiangfeng Huang
- Key Laboratory of Cardiovascular Epidemiology & Department of Epidemiology, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Xiangfeng Lu
- Key Laboratory of Cardiovascular Epidemiology & Department of Epidemiology, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Dongfeng Gu
- Key Laboratory of Cardiovascular Epidemiology & Department of Epidemiology, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
- School of Public Health and Emergency Management, School of Medicine, Southern University of Science and Technology, Shenzhen, China
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6
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Conn K, Huang K, Gorrell S, Foldi CJ. A transdiagnostic and translational framework for delineating the neuronal mechanisms of compulsive exercise in anorexia nervosa. Int J Eat Disord 2024. [PMID: 38174745 DOI: 10.1002/eat.24130] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/30/2023] [Revised: 12/21/2023] [Accepted: 12/21/2023] [Indexed: 01/05/2024]
Abstract
OBJECTIVE The development of novel treatments for anorexia nervosa (AN) requires a detailed understanding of the biological underpinnings of specific, commonly occurring symptoms, including compulsive exercise. There is considerable bio-behavioral overlap between AN and obsessive-compulsive disorder (OCD), therefore it is plausible that similar mechanisms underlie compulsive behavior in both populations. While the association between these conditions is widely acknowledged, defining the shared mechanisms for compulsive behavior in AN and OCD requires a novel approach. METHODS We present an argument that a better understanding of the neurobiological mechanisms that underpin compulsive exercise in AN can be achieved in two critical ways. First, by applying a framework of the neuronal control of OCD to exercise behavior in AN, and second, by taking better advantage of the activity-based anorexia (ABA) rodent model to directly test this framework in the context of feeding pathology. RESULTS A cross-disciplinary approach that spans preclinical, neuroimaging, and clinical research as well as compulsive neurocircuitry and behavior can advance our understanding of when, why, and how compulsive exercise develops in the context of AN and provide targets for novel treatment strategies. DISCUSSION In this article, we (i) link the expression of compulsive behavior in AN and OCD via a transition between goal-directed and habitual behavior, (ii) present disrupted cortico-striatal circuitry as a key substrate for the development of compulsive behavior in both conditions, and (iii) highlight the utility of the ABA rodent model to better understand the mechanisms of compulsive behavior relevant to AN. PUBLIC SIGNIFICANCE Individuals with AN who exercise compulsively are at risk of worse health outcomes and have poorer responses to standard treatments. However, when, why, and how compulsive exercise develops in AN remains inadequately understood. Identifying whether the neural circuitry underlying compulsive behavior in OCD also controls hyperactivity in the activity-based anorexia model will aid in the development of novel eating disorder treatment strategies for this high-risk population.
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Affiliation(s)
- K Conn
- Department of Physiology, Monash University, Clayton, Australia
- Monash Biomedicine Discovery Institute, Clayton, Australia
| | - K Huang
- Department of Physiology, Monash University, Clayton, Australia
- Monash Biomedicine Discovery Institute, Clayton, Australia
| | - S Gorrell
- Department of Psychiatry and Behavioral Sciences, University of California, San Francisco, California, USA
| | - C J Foldi
- Department of Physiology, Monash University, Clayton, Australia
- Monash Biomedicine Discovery Institute, Clayton, Australia
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Hu C, Huang K, Cai C, Liu F, Li J, Hu D, Zhao Y, Liu X, Cao J, Chen S, Li H, Yu L, Li Y, Shen C, Huang J, Gu D, Lu X. Genetic Predisposition, Sedentary Behavior, and Incident Coronary Artery Disease: A Prospective Chinese Cohort Study. Med Sci Sports Exerc 2024; 56:103-109. [PMID: 37703277 DOI: 10.1249/mss.0000000000003277] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/15/2023]
Abstract
PURPOSE Whether the association of sedentary behaviors with coronary artery disease (CAD) can be influenced by genetic susceptibility remains unclear. We aimed to investigate the joint and interplay effects between genetic risk and sedentary time (ST) and to further explore the extent to which the risk for CAD can be counteracted by reducing ST in different genetic groups. METHODS This prospective cohort study included 39,164 Chinese adults without CAD history. Genetic susceptibility was quantified by a predefined polygenic risk score (PRS) with 540 genetic variants, and daily ST was assessed by questionnaire. We analyzed the modification effect of genetic risk on the association of ST with CAD using the Cox proportional hazards models. RESULTS During a median follow-up of 11.60 yr, 1156 CAD events were documented. Higher ST and PRS were separately related to elevated CAD risk. Significant additive interaction was also observed (relative excess risk due to interaction: 0.77; 95% confidence interval [CI] = 0.27-1.28). Compared with participants with low genetic risk and low ST (<6 h·d -1 ), those with high genetic risk and high ST (≥10 h·d -1 ) had the highest CAD risk, with the hazard ratio (HR) and 95% CI of 4.22 (2.65-6.71). When stratified by genetic risks, participants with high ST had gradient increment of CAD risks across low, intermediate, and high genetic risk groups, with HR (95% CI) values of 1.21 (0.61-2.40), 1.57 (1.14-2.16), and 2.15 (1.40-3.31), respectively. For the absolute risk reduction, individuals with high genetic risk achieved the greatest benefit from low ST ( Ptrend = 0.024). CONCLUSIONS Genetic susceptibility may synergistically interact with ST to increase CAD risk. Reducing ST could attenuate the CAD risk, especially among individuals with high genetic risk.
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Affiliation(s)
- Chunyu Hu
- Key Laboratory of Cardiovascular Epidemiology and Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, CHINA
| | - Keyong Huang
- Key Laboratory of Cardiovascular Epidemiology and Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, CHINA
| | - Can Cai
- Key Laboratory of Cardiovascular Epidemiology and Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, CHINA
| | - Fangchao Liu
- Key Laboratory of Cardiovascular Epidemiology and Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, CHINA
| | - Jianxin Li
- Key Laboratory of Cardiovascular Epidemiology and Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, CHINA
| | | | - Yingxin Zhao
- Cardio-Cerebrovascular Control and Research Center, Institute of Basic Medicine, Shandong Academy of Medical Sciences, Jinan, CHINA
| | - Xiaoqing Liu
- Division of Epidemiology, Guangdong Provincial People's Hospital and Cardiovascular Institute, Guangzhou, CHINA
| | - Jie Cao
- Key Laboratory of Cardiovascular Epidemiology and Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, CHINA
| | - Shufeng Chen
- Key Laboratory of Cardiovascular Epidemiology and Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, CHINA
| | - Hongfan Li
- Key Laboratory of Cardiovascular Epidemiology and Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, CHINA
| | - Ling Yu
- Department of Cardiology, Fujian Provincial Hospital, Fuzhou, CHINA
| | - Ying Li
- Key Laboratory of Cardiovascular Epidemiology and Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, CHINA
| | - Chong Shen
- Department of Epidemiology and Biostatistics, School of Public Health, Nanjing Medical University, Nanjing, CHINA
| | - Jianfeng Huang
- Key Laboratory of Cardiovascular Epidemiology and Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, CHINA
| | | | - Xiangfeng Lu
- Key Laboratory of Cardiovascular Epidemiology and Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, CHINA
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Huang K, Jia J, Liang F, Li J, Niu X, Yang X, Chen S, Cao J, Shen C, Liu X, Yu L, Lu F, Wu X, Zhao L, Li Y, Hu D, Huang J, Liu Y, Gu D, Liu F, Lu X. Fine Particulate Matter Exposure, Genetic Susceptibility, and the Risk of Incident Stroke: A Prospective Cohort Study. Stroke 2024; 55:92-100. [PMID: 38018834 DOI: 10.1161/strokeaha.123.043812] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2023] [Accepted: 10/12/2023] [Indexed: 11/30/2023]
Abstract
BACKGROUND Both genetic factors and environmental air pollution contribute to the risk of stroke. However, it is unknown whether the association between air pollution and stroke risk is influenced by the genetic susceptibilities of stroke and its risk factors. METHODS This prospective cohort study included 40 827 Chinese adults without stroke history. Satellite-based monthly fine particulate matter (PM2.5) estimation at 1-km resolution was used for exposure assessment. Based on 534 identified genetic variants from genome-wide association studies in East Asians, we constructed 6 polygenic risk scores for stroke and its risk factors, including atrial fibrillation, blood pressure, type 2 diabetes, body mass index, and triglyceride. The Cox proportional hazards model was applied to evaluate the hazard ratios and 95% CIs for the associations of PM2.5 and polygenic risk score with incident stroke and the potential effect modifications. RESULTS Over a median follow-up of 12.06 years, 3147 incident stroke cases were documented. Compared with the lowest quartile of PM2.5 exposure, the hazard ratio (95% CI) for stroke in the highest quartile group was 2.72 (2.42-3.06). Among individuals at high genetic risk, the relative risk of stroke was 57% (1.57; 1.40-1.76) higher than those at low genetic risk. Although no statistically significant interaction was found, participants with both the highest PM2.5 and high genetic risk showed the highest risk of stroke, with ≈4× that of the lowest PM2.5 and low genetic risk group (hazard ratio, 3.55 [95% CI, 2.84-4.44]). Similar upward gradients were observed in the risk of stroke when assessing the joint effects of PM2.5 and genetic risks of blood pressure, type 2 diabetes, body mass index, atrial fibrillation, and triglyceride. CONCLUSIONS Long-term exposure to PM2.5 was associated with a higher risk of incident stroke across different genetic susceptibilities. Our findings highlighted the great importance of comprehensive assessment of air pollution and genetic risk in the prevention of stroke.
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Affiliation(s)
- Keyong Huang
- Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China (K.H., J.J., J.L., X.N., S.C., J.C., L.Z., Y. Li, J.H., D.G., F. Liu, X. Lu)
- Key Laboratory of Cardiovascular Epidemiology (K.H., J.J., J.L., S.C., J.C., L.Z., Y. Li, J.H., D.G., F. Liu, X. Lu), Chinese Academy of Medical Sciences, Beijing, China
| | - Jiajing Jia
- Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China (K.H., J.J., J.L., X.N., S.C., J.C., L.Z., Y. Li, J.H., D.G., F. Liu, X. Lu)
- Key Laboratory of Cardiovascular Epidemiology (K.H., J.J., J.L., S.C., J.C., L.Z., Y. Li, J.H., D.G., F. Liu, X. Lu), Chinese Academy of Medical Sciences, Beijing, China
| | - Fengchao Liang
- School of Public Health and Emergency Management (F. Liang), Southern University of Science and Technology, Shenzhen, China
| | - Jianxin Li
- Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China (K.H., J.J., J.L., X.N., S.C., J.C., L.Z., Y. Li, J.H., D.G., F. Liu, X. Lu)
- Key Laboratory of Cardiovascular Epidemiology (K.H., J.J., J.L., S.C., J.C., L.Z., Y. Li, J.H., D.G., F. Liu, X. Lu), Chinese Academy of Medical Sciences, Beijing, China
| | - Xiaoge Niu
- Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China (K.H., J.J., J.L., X.N., S.C., J.C., L.Z., Y. Li, J.H., D.G., F. Liu, X. Lu)
- Key Laboratory of Cardiovascular Epidemiology (K.H., J.J., J.L., S.C., J.C., L.Z., Y. Li, J.H., D.G., F. Liu, X. Lu), Chinese Academy of Medical Sciences, Beijing, China
- Department of Nephrology, Henan Provincial Key Laboratory of Kidney Disease and Immunology, Henan Provincial Clinical Research Center for Kidney Disease, Henan Provincial People's Hospital and People's Hospital of Zhengzhou University, China (X.N.)
| | - Xueli Yang
- Tianjin Key Laboratory of Environment, Nutrition and Public Health, Department of Occupational and Environmental Health, School of Public Health, Tianjin Medical University, China (X.Y.)
| | - Shufeng Chen
- Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China (K.H., J.J., J.L., X.N., S.C., J.C., L.Z., Y. Li, J.H., D.G., F. Liu, X. Lu)
- Key Laboratory of Cardiovascular Epidemiology (K.H., J.J., J.L., S.C., J.C., L.Z., Y. Li, J.H., D.G., F. Liu, X. Lu), Chinese Academy of Medical Sciences, Beijing, China
| | - Jie Cao
- Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China (K.H., J.J., J.L., X.N., S.C., J.C., L.Z., Y. Li, J.H., D.G., F. Liu, X. Lu)
- Key Laboratory of Cardiovascular Epidemiology (K.H., J.J., J.L., S.C., J.C., L.Z., Y. Li, J.H., D.G., F. Liu, X. Lu), Chinese Academy of Medical Sciences, Beijing, China
| | - Chong Shen
- Research Units of Cohort Study on Cardiovascular Diseases and Cancers (C.S.), Chinese Academy of Medical Sciences, Beijing, China
- Department of Epidemiology and Biostatistics, School of Public Health, Nanjing Medical University, China (C.S.)
| | - Xiaoqing Liu
- Division of Epidemiology, Guangdong Provincial People's Hospital and Cardiovascular Institute, Guangzhou, China (X. Liu)
| | - Ling Yu
- Department of Cardiology, Fujian Provincial People's Hospital, Fuzhou, China (L.Y.)
| | - Fanghong Lu
- Cardio-Cerebrovascular Control and Research Center, Institute of Basic Medicine, Shandong Academy of Medical Sciences, Jinan, China (F. Lu)
| | - Xianping Wu
- Sichuan Center for Disease Control and Prevention, Chengdu, China (X.W.)
| | - Liancheng Zhao
- Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China (K.H., J.J., J.L., X.N., S.C., J.C., L.Z., Y. Li, J.H., D.G., F. Liu, X. Lu)
- Key Laboratory of Cardiovascular Epidemiology (K.H., J.J., J.L., S.C., J.C., L.Z., Y. Li, J.H., D.G., F. Liu, X. Lu), Chinese Academy of Medical Sciences, Beijing, China
| | - Ying Li
- Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China (K.H., J.J., J.L., X.N., S.C., J.C., L.Z., Y. Li, J.H., D.G., F. Liu, X. Lu)
- Key Laboratory of Cardiovascular Epidemiology (K.H., J.J., J.L., S.C., J.C., L.Z., Y. Li, J.H., D.G., F. Liu, X. Lu), Chinese Academy of Medical Sciences, Beijing, China
| | - Dongsheng Hu
- Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China (K.H., J.J., J.L., X.N., S.C., J.C., L.Z., Y. Li, J.H., D.G., F. Liu, X. Lu)
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, China (D.H.)
- Department of Biostatistics and Epidemiology, School of Public Health, Shenzhen University Health Science Center, China (D.H.)
| | - Jianfeng Huang
- Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China (K.H., J.J., J.L., X.N., S.C., J.C., L.Z., Y. Li, J.H., D.G., F. Liu, X. Lu)
- Key Laboratory of Cardiovascular Epidemiology (K.H., J.J., J.L., S.C., J.C., L.Z., Y. Li, J.H., D.G., F. Liu, X. Lu), Chinese Academy of Medical Sciences, Beijing, China
| | - Yang Liu
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA (Y. Liu)
| | - Dongfeng Gu
- Key Laboratory of Cardiovascular Epidemiology (K.H., J.J., J.L., S.C., J.C., L.Z., Y. Li, J.H., D.G., F. Liu, X. Lu), Chinese Academy of Medical Sciences, Beijing, China
- School of Medicine (D.G), Southern University of Science and Technology, Shenzhen, China
| | - Fangchao Liu
- Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China (K.H., J.J., J.L., X.N., S.C., J.C., L.Z., Y. Li, J.H., D.G., F. Liu, X. Lu)
- Key Laboratory of Cardiovascular Epidemiology (K.H., J.J., J.L., S.C., J.C., L.Z., Y. Li, J.H., D.G., F. Liu, X. Lu), Chinese Academy of Medical Sciences, Beijing, China
| | - Xiangfeng Lu
- Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China (K.H., J.J., J.L., X.N., S.C., J.C., L.Z., Y. Li, J.H., D.G., F. Liu, X. Lu)
- Key Laboratory of Cardiovascular Epidemiology (K.H., J.J., J.L., S.C., J.C., L.Z., Y. Li, J.H., D.G., F. Liu, X. Lu), Chinese Academy of Medical Sciences, Beijing, China
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9
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Wang M, Huang K, Jin Y, Zheng ZJ. Global Burden of Alzheimer's Disease and Other Dementias Attributed to High Fasting Plasma Glucose from 1990 to 2019. J Prev Alzheimers Dis 2024; 11:780-786. [PMID: 38706294 DOI: 10.14283/jpad.2024.47] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/07/2024]
Abstract
BACKGROUND Burden of Alzheimer's disease (AD) and other dementias have grown rapidly over the decades, and high fasting plasma glucose (HFPG) was one of the well-established risk factors. It is urgently needed to estimate the global burden of AD and other dementias attributable to high fasting plasma glucose between regions, countries, age groups, and sexes to inform development of effective primary disease prevention strategies and intervention policies. METHODS The burden of AD and other dementias attributable to HFPG was estimated based on a modeling strategy using the Global Burden of Disease Study 2019 dataset. The disease burden and time trend globally and by region, country, development level, age group, and sex were evaluated. RESULTS The number of AD and other dementias-related deaths attributable to HFPG increased from 42,998.23 (95% uncertainty interval, UI: 4459.86-163,455.78, the year of 1990) to 159,244.53 deaths (95% UI 18,385.23-583,514.15, the year of 2019). The age-standardized death rate increased from 1.69 (95% UI 0.18-6.54) in 1990 to 2.24 (95% UI 0.26-8.24) in 2019. The burden was higher in more developed regions. The burden in women was double that in men, that HFPG-attributable AD and other dementias caused 99,812.79 deaths (95% UI 9005.67-387,160.60) in women and 59,431.74 deaths (95% UI 5439.02-214,819.23) in men, with age-standardized death rate of 2.27 (95% UI 0.20-8.79) per 100,000 population in women and 2.20 (95% UI 0.20-8.00) in men. CONCLUSION Findings from the current study emphasizes the urgent requirement for targeted interventions in high-development regions, as well as the importance of proactive measures in middle-development countries in protection of AD and other dementias. The gender disparity necessitates the integration of gender-specific considerations in targeted approaches in prevention of AD and other dementias.
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Affiliation(s)
- M Wang
- Yinzi Jin, PhD, Department of Global Health, School of Public Health, Peking University, 38 Xue Yuan Road, Haidian District, Beijing 100191, China, E-mail: , ORCID iD: 0000-0003-0634-3955
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Chen YX, Wu LL, Wu XX, Yang LY, Xu JQ, Wang L, Jiang ZY, Yao JN, Yang DN, Sun N, Zhang J, Zhang YW, Hu RW, Lin Y, Huang K, Li B, Niu JM. [Overview of design and construction of hypertensive disorders of a pregnancy-cohort in Shenzhen]. Zhonghua Liu Xing Bing Xue Za Zhi 2023; 44:1858-1863. [PMID: 38129139 DOI: 10.3760/cma.j.cn112338-20230518-00308] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 12/23/2023]
Abstract
Hypertensive disorder of pregnancy (HDP) involves two major public health issues: mother-infant safety and prevention and controlling major chronic disease. HDP poses a serious threat to maternal and neonatal safety, and it is one of the leading causes of maternal and perinatal morbidity and mortality worldwide, as well as an important risk factor for long-term cardiovascular disease (CVD). In order to explore effective strategies to prevent and control the source of CVD and reduce its risk, we have established a cohort of HDPs in Shenzhen for the primordial prevention of CVD. The construction of the HDP cohort has already achieved preliminary progress till now. A total of 2 239 HDP women have been recruited in the HDP cohort. We have established a cohort data management platform and Biobank. The follow-up and assessment of postpartum cardiovascular metabolic risk in this cohort has also been launched. Our efforts will help explore the pathophysiological mechanism of HDP, especially the pathogenesis and precision phenotyping, prediction, and prevention of pre-eclampsia, which, therefore, may reduce the risk of adverse pregnancy outcomes, and provide a bridge to linking HDP and maternal-neonatal cardiovascular, metabolic risk to promote the cardiovascular health of mothers and their infants.
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Affiliation(s)
- Y X Chen
- Department of Obstetrics, Shenzhen Maternity & Child Healthcare Hospital, the First School of Clinical Medicine, Southern Medical University, Shenzhen 518028, China
| | - L L Wu
- Department of Obstetrics and Gynecology, the Eighth Affiliated Hospital, Sun Yat-sen University, Shenzhen 518033, China
| | - X X Wu
- Department of Obstetrics, Shenzhen Maternity & Child Healthcare Hospital, the First School of Clinical Medicine, Southern Medical University, Shenzhen 518028, China
| | - L Y Yang
- Department of Obstetrics, Shenzhen Maternity & Child Healthcare Hospital, the First School of Clinical Medicine, Southern Medical University, Shenzhen 518028, China
| | - J Q Xu
- Department of Obstetrics, Shenzhen Maternity & Child Healthcare Hospital, the First School of Clinical Medicine, Southern Medical University, Shenzhen 518028, China
| | - L Wang
- Department of Obstetrics, Shenzhen Maternity & Child Healthcare Hospital, the First School of Clinical Medicine, Southern Medical University, Shenzhen 518028, China
| | - Z Y Jiang
- Department of Obstetrics, Shenzhen Maternity & Child Healthcare Hospital, the First School of Clinical Medicine, Southern Medical University, Shenzhen 518028, China
| | - J N Yao
- Department of Obstetrics, Shenzhen Maternity & Child Healthcare Hospital, the First School of Clinical Medicine, Southern Medical University, Shenzhen 518028, China
| | - D N Yang
- Department of Obstetrics, Shenzhen Maternity & Child Healthcare Hospital, the First School of Clinical Medicine, Southern Medical University, Shenzhen 518028, China
| | - N Sun
- Department of Obstetrics, Shenzhen Maternity & Child Healthcare Hospital, the First School of Clinical Medicine, Southern Medical University, Shenzhen 518028, China
| | - J Zhang
- Department of Obstetrics, Shenzhen Maternity & Child Healthcare Hospital, the First School of Clinical Medicine, Southern Medical University, Shenzhen 518028, China
| | - Y W Zhang
- Department of Obstetrics, Shenzhen Maternity & Child Healthcare Hospital, the First School of Clinical Medicine, Southern Medical University, Shenzhen 518028, China
| | - R W Hu
- Department of Obstetrics, Shenzhen Maternity & Child Healthcare Hospital, the First School of Clinical Medicine, Southern Medical University, Shenzhen 518028, China
| | - Y Lin
- Department of Obstetrics, Shenzhen Maternity & Child Healthcare Hospital, the First School of Clinical Medicine, Southern Medical University, Shenzhen 518028, China
| | - K Huang
- Department of Obstetrics, Shenzhen Maternity & Child Healthcare Hospital, the First School of Clinical Medicine, Southern Medical University, Shenzhen 518028, China
| | - B Li
- Department of Obstetrics, Shenzhen Maternity & Child Healthcare Hospital, the First School of Clinical Medicine, Southern Medical University, Shenzhen 518028, China
| | - J M Niu
- Department of Obstetrics and Gynecology, the Eighth Affiliated Hospital, Sun Yat-sen University, Shenzhen 518033, China
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Li CY, Chen S, Qian WL, Yang L, Zheng Q, Chen AJ, Chen J, Huang K, Fang S, Wang P, Hu L, Liu XR, Zhao XQ, Tan N, Cai T. [Clinical observation on the efficacy and safety of dupilumab in the treatment of moderate to severe atopic dermatitis]. Zhonghua Yu Fang Yi Xue Za Zhi 2023; 57:1590-1595. [PMID: 37859375 DOI: 10.3760/cma.j.cn112150-20221103-01063] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 10/21/2023]
Abstract
To investigate the clinical efficacy and safety of dupilumab in the treatment of moderate to severe atopic dermatitis (AD) in China. A small sample self-controlled study before and after treatment was conducted to retrospective analysis patients with moderate to severe AD treated with dupilumab in the department of dermatology of the First Affiliated Hospital of Chongqing Medical University from July 2020 to March 2022. Dupilumab 600 mg was injected subcutaneously at week 0, and then 300 mg was injected subcutaneously every 2 weeks. The condition was evaluated by SCORAD(severity scoring of atopic dermatitis), NRS(numerical rating scale), DLQI(dermatology life quality index) and POEM(patient-oriented eczema measure). The improvement of SCORAD, NRS, DLQI and POEM was analyzed by paired t test and non-parametric paired Wilcoxon. The results showed that a total of 67 patients with moderate to severe AD received dupilumab treatment, of which 41 patients (the course of treatment was more than 6 weeks) had reduced the severity of skin lesions, improved quality of life and reduced pruritus. A total of 23 patients completed 16 weeks of treatment. At 4, 8, 12 and 16 weeks, SCORAD, NRS, DLQI and POEM decreased compared with the baseline, and the differences were statistically significant. SCORAD (50.13±15.19) at baseline, SCORAD (36.08±11.96)(t=6.049,P<0.001) at week 4,SCORAD (28.04±11.10)(t=10.471,P<0.001) at week 8, SCORAD (22.93±9.72)(t=12.428,P<0.001) at week 12, SCORAD (16.84±7.82)(t=14.609,P<0.001) at week 16, NRS 7(6,8) at baseline, NRS 4(3,5)(Z=-3.861,P<0.001) at week 4, NRS 2(1,4)(Z=-4.088,P<0.001) at week 8, NRS 1(0,2)(Z=-4.206,P<0.001) at week 12, NRS 2(0,2)(Z=-4.222,P<0.001) at week 16, DLQI (13.83±5.71) at baseline, DLQI (8.00±4.02)(t=6.325,P<0.001) at week 4, DLQI (5.61±3.50)(t=8.060,P<0.001) at week 8, DLQI (3.96±1.99)(t=8.717,P<0.001) at week 12, DLQI (2.70±1.89)(t=10.355,P<0.001) at week 16, POEM (18.04±6.41) at baseline, POEM (9.70±4.70)(t=7.031,P<0.001) at week 4, POEM (7.74±3.48)(t=8.806,P<0.001) at week 8, POEM (6.35±3.33)(t=10.474,P<0.001) at week 12, POEM (4.26±2.51)(t=11.996,P<0.001) at week 16. In the 16th week, 100%(23 patients), 91.3%(21 patients), 34.8%(8 patients) and 8.7%(2 patients) of 23 patients reached SCORAD30, SCORAD50, SCORAD70, and SCORAD90 statuses, respectively. There were 82.6%(19 patients), 95.7%(22 patients) and 95.7%(22 patients) of 23 patients with NRS, DLQI and POEM improved by≥4 points compared with baseline. Twelve patients with AD who continued to receive dupilumab after 16 weeks showed further improvement in skin lesions. The adverse events were conjunctivitis and injection site reaction. In conclusion, dupilumab is an effective and safe treatment for moderate and severe AD. However, the longer-term efficacy and safety require further studies involving larger sample sizes and a longer follow-up time.
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Affiliation(s)
- C Y Li
- Department of Dermatology, the First Affiliated Hospital of Chongqing Medical University,Chongqing 400042, China
| | - S Chen
- Department of Dermatology, the First Affiliated Hospital of Chongqing Medical University,Chongqing 400042, China
| | - W L Qian
- Department of Dermatology, the First Affiliated Hospital of Chongqing Medical University,Chongqing 400042, China
| | - L Yang
- Department of Dermatology, the First Affiliated Hospital of Chongqing Medical University,Chongqing 400042, China
| | - Q Zheng
- Department of Dermatology, the First Affiliated Hospital of Chongqing Medical University,Chongqing 400042, China
| | - A J Chen
- Department of Dermatology, the First Affiliated Hospital of Chongqing Medical University,Chongqing 400042, China
| | - J Chen
- Department of Dermatology, the First Affiliated Hospital of Chongqing Medical University,Chongqing 400042, China
| | - K Huang
- Department of Dermatology, the First Affiliated Hospital of Chongqing Medical University,Chongqing 400042, China
| | - S Fang
- Department of Dermatology, the First Affiliated Hospital of Chongqing Medical University,Chongqing 400042, China
| | - P Wang
- Department of Dermatology, the First Affiliated Hospital of Chongqing Medical University,Chongqing 400042, China
| | - L Hu
- Department of Dermatology, the First Affiliated Hospital of Chongqing Medical University,Chongqing 400042, China
| | - X R Liu
- Department of Dermatology, the First Affiliated Hospital of Chongqing Medical University,Chongqing 400042, China
| | - X Q Zhao
- Department of Dermatology, the First Affiliated Hospital of Chongqing Medical University,Chongqing 400042, China
| | - N Tan
- Department of Dermatology, the First Affiliated Hospital of Chongqing Medical University,Chongqing 400042, China
| | - T Cai
- Department of Dermatology, the First Affiliated Hospital of Chongqing Medical University,Chongqing 400042, China
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12
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Freije S, Hutchins KM, Huang K, Ozolins S, Steffen N, Forgey E, Thind S, Alkhalifah J, Saito NG. Dosimetric Advantages of VMAT TBI Plans: A Direct Comparison to Conventional TBI Plans. Int J Radiat Oncol Biol Phys 2023; 117:e466. [PMID: 37785487 DOI: 10.1016/j.ijrobp.2023.06.1668] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/04/2023]
Abstract
PURPOSE/OBJECTIVE(S) Total body irradiation (TBI) continues to play an integral role in the conditioning of patients undergoing bone marrow transplantation. Historically, conventional TBI (C-TBI) has been delivered based on a clinical plan without CT simulation. However, volumetric modulated arc therapy TBI (V-TBI) is emerging as an alternative method to deliver TBI in a contemporary fashion. We aimed to compare these two methods of TBI delivery. MATERIALS/METHODS Patients undergoing treatment with V-TBI were identified. C-TBI plans were created using their existing simulation CT images. Patient thickness was measured on the scan and compensators such as lead sheets to attenuate dose in areas with less separation and lung blocks drawn on digitally reconstructed radiographs (DRR) were added when necessary. A 3D dose distribution was then calculated allowing for the direct comparison between C-TBI and V-TBI on the same patient using the same CT image set. Dosimetric data from each plan including target volume coverage, dose homogeneity, absolute max dose, and dose to lungs were recorded. RESULTS V-TBI and C-TBI plans for a total of four patients were preliminarily analyzed. Two patients were prescribed 200 cGy in a single fraction, while the other two were prescribed 1200 cGy in eight fractions. V-TBI resulted in a more favorable dosimetry for all four patients in most evaluated metrics including dose coverage, dose homogeneity, and lung dose (Table 1). V-TBI did result in an increased absolute maximum dose to all four patients compared to c-TBI, but still met the desired constraint of D0.03cc<125%. CONCLUSION V-TBI resulted in more favorable dosimetry for all four patients compared to C-TBI. To our knowledge, this is the first direct dosimetric comparison between the two methods. Analysis of 8 more V-TBI cases is currently underway. In the future, we plan to design a prospective study to evaluate the clinical outcomes of patients undergoing V-TBI vs C-TBI.
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Affiliation(s)
- S Freije
- Indiana University School of Medicine, Department of Radiation Oncology, Indianapolis, IN
| | - K M Hutchins
- Indiana University School of Medicine, Department of Radiation Oncology, Indianapolis, IN
| | - K Huang
- Indiana University School of Medicine, Department of Radiation Oncology, Indianapolis, IN
| | - S Ozolins
- Indiana University School of Medicine, Department of Radiation Oncology, Indianapolis, IN
| | - N Steffen
- Indiana University School of Medicine, Department of Radiation Oncology, Indianapolis, IN
| | - E Forgey
- Indiana University School of Medicine, Department of Radiation Oncology, Indianapolis, IN
| | - S Thind
- Indiana University School of Medicine, Department of Radiation Oncology, Indianapolis, IN
| | - J Alkhalifah
- Indiana University School of Medicine, Department of Radiation Oncology, Indianapolis, IN
| | - N G Saito
- Indiana University School of Medicine, Department of Radiation Oncology, Indianapolis, IN
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13
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Lizarraga IM, Huang K, Yalamuru B, Mott SL, Sibenaller ZA, Keith JN, Sugg S, Erdahl LM, Seering M. ASO Visual Abstract: A Randomized Single-Blinded Study Comparing Pre- and Post-Mastectomy PECS Block for Postoperative Pain Management in Bilateral Mastectomy With Immediate Reconstruction. Ann Surg Oncol 2023; 30:6022-6023. [PMID: 37606838 DOI: 10.1245/s10434-023-13991-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/23/2023]
Affiliation(s)
- I M Lizarraga
- Department of Surgery, University of Iowa Hospitals and Clinics, Iowa City, IA, USA.
- Holden Comprehensive Cancer Center, University of Iowa Hospitals and Clinics, Iowa City, IA, USA.
| | - K Huang
- Department of Surgery, University of Iowa Hospitals and Clinics, Iowa City, IA, USA
- Holden Comprehensive Cancer Center, University of Iowa Hospitals and Clinics, Iowa City, IA, USA
| | - B Yalamuru
- Pain Division, Department of Anesthesiology, University of Virginia, Charlottesville, VA, USA
| | - S L Mott
- Holden Comprehensive Cancer Center, University of Iowa Hospitals and Clinics, Iowa City, IA, USA
| | - Z A Sibenaller
- Holden Comprehensive Cancer Center, University of Iowa Hospitals and Clinics, Iowa City, IA, USA
| | - J N Keith
- Division of Plastic and Reconstructive Surgery, Department of Surgery, University of Iowa Hospitals and Clinics, Iowa City, IA, USA
| | - S Sugg
- Department of Surgery, University of Iowa Hospitals and Clinics, Iowa City, IA, USA
- Holden Comprehensive Cancer Center, University of Iowa Hospitals and Clinics, Iowa City, IA, USA
| | - L M Erdahl
- Department of Surgery, University of Iowa Hospitals and Clinics, Iowa City, IA, USA
- Holden Comprehensive Cancer Center, University of Iowa Hospitals and Clinics, Iowa City, IA, USA
| | - M Seering
- Department of Anesthesia, University of Iowa Hospitals and Clinics, Iowa City, IA, USA
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14
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Xia X, Liu F, Huang K, Chen S, Li J, Cao J, Yang X, Liu X, Shen C, Yu L, Zhao Y, Zhao L, Li Y, Hu D, Huang J, Lu X, Gu D. Egg consumption and risk of coronary artery disease, potential amplification by high genetic susceptibility: a prospective cohort study. Am J Clin Nutr 2023; 118:773-781. [PMID: 37793743 DOI: 10.1016/j.ajcnut.2023.06.009] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2023] [Revised: 06/03/2023] [Accepted: 06/08/2023] [Indexed: 10/06/2023] Open
Abstract
BACKGROUND Remarkable heterogeneity has been observed among population-based studies on egg consumption and risk of coronary artery disease (CAD). Whether genetic susceptibility serves as a potential explanation for this inconsistency remains unknown. OBJECTIVES We performed a prospective cohort study to investigate the association of egg consumption with incident CAD at different genetic susceptibilities. METHODS We included 34,111 participants without CAD at baseline from the project of Prediction for Atherosclerotic Cardiovascular Disease Risk in China. Egg consumption was assessed with food frequency questionnaires. Genetic susceptibility was quantified by a predefined polygenic risk score (PRS) with 540 genetic variants. The hazard ratio (HR) and 95% confidence interval (95% CI) of incident CAD associated with egg consumption and PRS were estimated using the Cox proportional hazards models. RESULTS Over a median 11.7 y of follow-up, 1,128 incident cases of CAD were recorded. Both higher egg consumption and increased PRS were related to higher risk of CAD. When stratified by genetic risk, each increment of 3 eggs/wk was associated with a 5% higher risk of CAD for participants at low to intermediate genetic risk (HR: 1.05; 95% CI: 1.01, 1.09), whereas risk increased to HR 1.10 (95% CI: 1.05, 1.16) for those at high genetic risk; a significant synergistic interaction was also indicated at both multiplicative (Pinteraction = 0.007) and additive (relative excess risk: 0.73; 95% CI: 0.24, 1.22) scales. When the joint effect was examined, in comparison with those at low to intermediate genetic risk and consuming <1 egg/wk, the HR (95% CI) was 2.95 (2.41, 3.62) for participants with high genetic risk and consumption of ≥10 eggs/wk, and the corresponding standardized 10-y CAD rates increased from 1.37% to 4.24%. CONCLUSIONS Genetic predisposition may synergistically interact with egg consumption in relation to increased CAD risk. PRS-stratified recommendations on egg consumption may help formulate personalized nutrition policies.
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Affiliation(s)
- Xue Xia
- Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China; Key Laboratory of Cardiovascular Epidemiology, Chinese Academy of Medical Sciences, Beijing, China; Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China; China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Fangchao Liu
- Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China; Key Laboratory of Cardiovascular Epidemiology, Chinese Academy of Medical Sciences, Beijing, China
| | - Keyong Huang
- Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Shufeng Chen
- Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Jianxin Li
- Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Jie Cao
- Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Xueli Yang
- Tianjin Key Laboratory of Environment, Nutrition and Public Health, Department of Occupational and Environmental Health, School of Public Health, Tianjin Medical University, Tianjin, China
| | - Xiaoqing Liu
- Division of Epidemiology, Guangdong Provincial People's Hospital and Cardiovascular Institute, Guangzhou, China
| | - Chong Shen
- Department of Epidemiology and Biostatistics, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Ling Yu
- Department of Cardiology, Fujian Provincial Hospital, Fuzhou, China
| | - Yingxin Zhao
- Cardio-Cerebrovascular Control and Research Center, Institute of Basic Medicine, Shandong Academy of Medical Sciences, Jinan, China
| | - Liancheng Zhao
- Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Ying Li
- Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Dongsheng Hu
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, China; Department of Biostatistics and Epidemiology, School of Public Health, Shenzhen University Health Science Center, Shenzhen, China
| | - Jiangfeng Huang
- Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Xiangfeng Lu
- Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China; Key Laboratory of Cardiovascular Epidemiology, Chinese Academy of Medical Sciences, Beijing, China.
| | - Dongfeng Gu
- Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China; Key Laboratory of Cardiovascular Epidemiology, Chinese Academy of Medical Sciences, Beijing, China; School of Public Health and Emergency Management, Southern University of Science and Technology, Shenzhen, China.
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15
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Huang K, Yue Y, Njeh CF, Coyne M, Freije S, Saito NG. Dose Coverage Variation Caused by Setup Uncertainties in VMAT-TBI Treatment. Int J Radiat Oncol Biol Phys 2023; 117:e673-e674. [PMID: 37785986 DOI: 10.1016/j.ijrobp.2023.06.2123] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/04/2023]
Abstract
PURPOSE/OBJECTIVE(S) Volumetric Modulated Arc Therapy Total Body Irradiation (VMAT TBI) offers several advantages over conventional TBI techniques, including reduced cost of the treatment room (a normal-sized vault versus a large shielded vault), increased patient comfort during treatment, lung sparing without the need for physical blocks, and a more homogeneous dose distribution. In VMAT-TBI treatment, plans at multiple isocenters are utilized to cover the entire body, and patients are positioned with the aid of image guidance. However, aligning the patient's entire body during setup can be challenging due to its pliability, and the setup time is heavily dependent on the tolerance allowed by the image guidance. Therefore, studying the variation in dose coverage caused by setup uncertainties in VMAT-TBI treatments can help optimize the clinical workflow and determine the optimal tolerance for patient positioning. MATERIALS/METHODS New plans were generated to simulate the uncertainties that occur during treatment setup for each patient. These plans were created by shifting the original VMAT TBI plans at the head, chest, abdomen (or pelvis) isocenters by 5mm and 1cm in the left-right (LR), inferior-superior (IS), and anterior-posterior (AP) directions, respectively. Dose DicomRT files were exported, and the dose change due to the shifts was analyzed. The statistical quantification of the percentage of the body that experienced a dose change of over 2%, 5%, and 10% of the prescription due to the shifts from the original plans was calculated for all patients. Histograms were generated, showing the percentage of body getting dose change of 1-2%, 2-3%, 3-5%, 5-7%, 7-10%, 10-15%. RESULTS The table below displays the percent volume receiving a dose change of 2%, 5%, and 10% of the prescription for a 5mm shift. Among the shift directions, the dose change is most sensitive in the IS direction, with similar impact observed the in LR and AP directions. Among different sites, the chest experiences the largest dose change, followed by the pelvis. For a 5mm shift in the IS direction, the average percent volume receiving a dose change of 2%, 5%, and 10% in the chest is 9.25%, 2.64%, and 0.27%, respectively. For a 1cm shift, the numbers are 12.23%, 6.75%, and 1.29%. In the pelvis (abdomen), these values are 9.03%, 1.67%, and 0.17% for a 5mm shift and 13.28%, 6.1%, and 0.85% for a 1cm shift. For head plans, the values are 2.72%, 0.9%, and 0.14% for a 5mm shift and 3.77%, 1.66%, and 0.53% for a 1cm shift. CONCLUSION Accurate alignment in the chest region is crucial in VMAT TBI treatment. Efforts should be made to minimize shifts over 1cm in the IS direction.
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Affiliation(s)
- K Huang
- Department of Radiation Oncology, Indiana University School of Medicine, Indianapolis, IN
| | - Y Yue
- Department of Radiation Oncology, Indiana University School of Medicine, Indianapolis, IN
| | - C F Njeh
- Department of Radiation Oncology, Indiana University School of Medicine, Indianapolis, IN
| | - M Coyne
- Department of Radiation Oncology, Indiana University School of Medicine, Indianapolis, IN
| | - S Freije
- Indiana University School of Medicine, Department of Radiation Oncology, Indianapolis, IN
| | - N G Saito
- Indiana University School of Medicine, Department of Radiation Oncology, Indianapolis, IN
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16
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Lizarraga IM, Huang K, Yalamuru B, Mott SL, Sibenaller ZA, Keith JN, Sugg SL, Erdahl LM, Seering M. A Randomized Single-Blinded Study Comparing Preoperative with Post-Mastectomy PECS Block for Post-operative Pain Management in Bilateral Mastectomy with Immediate Reconstruction. Ann Surg Oncol 2023; 30:6010-6021. [PMID: 37526752 DOI: 10.1245/s10434-023-13890-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2023] [Accepted: 06/06/2023] [Indexed: 08/02/2023]
Abstract
BACKGROUND Ultrasound-guided pectoralis muscle blocks (PECS I/II) are well established for postoperative pain control after mastectomy with reconstruction. However, optimal timing is unclear. We conducted a randomized controlled single-blinded single-institution trial comparing outcomes of block performed pre-incision versus post-mastectomy. METHOD Patients with breast cancer undergoing bilateral mastectomy with immediate expander/implant reconstruction were randomized to receive ultrasound-guided PECS I/II either pre-incision (PreM, n = 17) or post-mastectomy and before reconstruction (PostM, n = 17). The primary outcome was the average pain score using the Numerical Rating Score during post-anesthesia care unit (PACU) and inpatient stay, with the study powered to detect a difference in mean pain score of 2. Secondary outcomes included mean pain scores on postoperative day (POD) 2, 3, 7, 14, 90, and 180; pain catastrophizing scores; narcotic requirements; PACU/inpatient length of stay; block procedure time; and complications. RESULT No significant differences between the two groups were noted in average pain score during PACU (p = 0.57) and 24-h inpatient stay (p = 0.33), in the 2 weeks after surgery at rest (p = 0.90) or during movement (p = 0.30), or at POD 90 and 180 at rest (p = 0.42) or during movement (p = 0.31). Median duration of block procedure (PreM 7 min versus PostM 6 min, p = 0.21) did not differ. Median PACU and inpatient length of stay were the same in each group. Inpatient narcotic requirements were similar, as were length of stay and post-surgical complication rates. CONCLUSION Intraoperative ultrasound-guided PECS I/II block administered by surgeons following mastectomy had similar outcomes to preoperative blocks. TRIAL REGISTRATION This trial is registered with Clinical Research Information Service (NCT03653988).
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Affiliation(s)
- Ingrid M Lizarraga
- Department of Surgery, University of Iowa Hospitals and Clinics, Iowa City, IA, USA.
- Holden Comprehensive Cancer Center, University of Iowa Hospitals and Clinics, Iowa City, IA, USA.
| | - K Huang
- Department of Surgery, University of Iowa Hospitals and Clinics, Iowa City, IA, USA
- Holden Comprehensive Cancer Center, University of Iowa Hospitals and Clinics, Iowa City, IA, USA
| | - B Yalamuru
- Pain Division, Department of Anesthesiology, University of Virginia, Charlottesville, VA, USA
| | - S L Mott
- Holden Comprehensive Cancer Center, University of Iowa Hospitals and Clinics, Iowa City, IA, USA
| | - Z A Sibenaller
- Holden Comprehensive Cancer Center, University of Iowa Hospitals and Clinics, Iowa City, IA, USA
| | - J N Keith
- Holden Comprehensive Cancer Center, University of Iowa Hospitals and Clinics, Iowa City, IA, USA
- Division of Plastic and Reconstructive Surgery, Department of Surgery, University of Iowa Hospitals and Clinics, Iowa City, IA, USA
| | - S L Sugg
- Department of Surgery, University of Iowa Hospitals and Clinics, Iowa City, IA, USA
- Holden Comprehensive Cancer Center, University of Iowa Hospitals and Clinics, Iowa City, IA, USA
| | - L M Erdahl
- Department of Surgery, University of Iowa Hospitals and Clinics, Iowa City, IA, USA
- Holden Comprehensive Cancer Center, University of Iowa Hospitals and Clinics, Iowa City, IA, USA
| | - M Seering
- Department of Anesthesia, University of Iowa Hospitals and Clinics, Iowa City, IA, USA
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17
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Liu H, Li J, Liu F, Huang K, Cao J, Chen S, Li H, Shen C, Hu D, Huang J, Lu X, Gu D. Efficacy and safety of low levels of low-density lipoprotein cholesterol: trans-ancestry linear and non-linear Mendelian randomization analyses. Eur J Prev Cardiol 2023; 30:1207-1215. [PMID: 37040432 DOI: 10.1093/eurjpc/zwad111] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/20/2023] [Revised: 04/05/2023] [Accepted: 04/07/2023] [Indexed: 04/13/2023]
Abstract
AIMS LDL cholesterol (LDL-C) is a well-established risk factor for coronary artery disease (CAD). However, the optimal LDL-C level with regard to efficacy and safety remains unclear. We aimed to investigate the causal relationships between LDL-C and efficacy and safety outcomes. METHODS AND RESULTS We analyzed 353 232 British from the UK Biobank and 41 271 Chinese from the China-PAR project. Linear and non-linear Mendelian randomization (MR) analyses were performed to evaluate the causal relation between genetically proxied LDL-C and CAD, all-cause mortality, and safety outcomes (including haemorrhagic stroke, diabetes mellitus, overall cancer, non-cardiovascular death, and dementia). No significant non-linear associations were observed for CAD, all-cause mortality, and safety outcomes (Cochran Q P > 0.25 in British and Chinese) with LDL-C levels above the minimum values of 50 and 20 mg/dL in British and Chinese, respectively. Linear MR analyses demonstrated a positive association of LDL-C with CAD [British: odds ratio (OR) per unit mmol/L increase, 1.75, P = 7.57 × 10-52; Chinese: OR, 2.06, P = 9.10 × 10-3]. Furthermore, stratified analyses restricted to individuals with LDL-C levels less than the guideline-recommended 70 mg/dL demonstrated lower LDL-C levels were associated with a higher risk of adverse events, including haemorrhagic stroke (British: OR, 0.72, P = 0.03) and dementia (British: OR, 0.75, P = 0.03). CONCLUSION In British and Chinese populations, we confirmed a linear dose-response relationship of LDL-C with CAD and found potential safety concerns at low LDL-C levels, providing recommendations for monitoring adverse events in people with low LDL-C in the prevention of cardiovascular disease.
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Affiliation(s)
- Hongwei Liu
- Key Laboratory of Cardiovascular Epidemiology & Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, 167 Beilishi Road, Xicheng District, Beijing, 100037, China
| | - Jianxin Li
- Key Laboratory of Cardiovascular Epidemiology & Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, 167 Beilishi Road, Xicheng District, Beijing, 100037, China
| | - Fangchao Liu
- Key Laboratory of Cardiovascular Epidemiology & Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, 167 Beilishi Road, Xicheng District, Beijing, 100037, China
| | - Keyong Huang
- Key Laboratory of Cardiovascular Epidemiology & Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, 167 Beilishi Road, Xicheng District, Beijing, 100037, China
| | - Jie Cao
- Key Laboratory of Cardiovascular Epidemiology & Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, 167 Beilishi Road, Xicheng District, Beijing, 100037, China
| | - Shufeng Chen
- Key Laboratory of Cardiovascular Epidemiology & Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, 167 Beilishi Road, Xicheng District, Beijing, 100037, China
| | - Hongfan Li
- Key Laboratory of Cardiovascular Epidemiology & Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, 167 Beilishi Road, Xicheng District, Beijing, 100037, China
| | - Chong Shen
- Department of Epidemiology and Biostatistics, School of Public Health, Nanjing Medical University, Nanjing, 211166, China
| | - Dongsheng Hu
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, 450001, China
- Department of Biostatistics and Epidemiology, School of Public Health, Shenzhen University Health Science Center, Shenzhen, 518060, China
| | - Jianfeng Huang
- Key Laboratory of Cardiovascular Epidemiology & Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, 167 Beilishi Road, Xicheng District, Beijing, 100037, China
| | - Xiangfeng Lu
- Key Laboratory of Cardiovascular Epidemiology & Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, 167 Beilishi Road, Xicheng District, Beijing, 100037, China
| | - Dongfeng Gu
- Key Laboratory of Cardiovascular Epidemiology & Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, 167 Beilishi Road, Xicheng District, Beijing, 100037, China
- School of Medicine, Southern University of Science and Technology, 1088 Xueyuan Avenue, Nanshan District, Shenzhen, 518055, China
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Jia Y, Lin Z, He Z, Li C, Zhang Y, Wang J, Liu F, Li J, Huang K, Cao J, Gong X, Lu X, Chen S. Effect of Air Pollution on Heart Failure: Systematic Review and Meta-Analysis. Environ Health Perspect 2023; 131:76001. [PMID: 37399145 PMCID: PMC10317211 DOI: 10.1289/ehp11506] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/30/2022] [Revised: 02/15/2023] [Accepted: 06/06/2023] [Indexed: 07/05/2023]
Abstract
BACKGROUND Heart failure (HF) poses a significant global disease burden. The current evidence on the impact of air pollution on HF remains inconsistent. OBJECTIVES We aimed to conduct a systematic review of the literature and meta-analysis to provide a more comprehensive and multiperspective assessment of the associations between short- and long-term air pollution exposure and HF from epidemiological evidences. METHODS Three databases were searched up to 31 August 2022 for studies investigating the association between air pollutants (PM 2.5 , PM 10 , NO 2 , SO 2 , CO, O 3 ) and HF hospitalization, incidence, or mortality. A random effects model was used to derive the risk estimations. Subgroup analysis was conducted by geographical location, age of participants, outcome, study design, covered area, the methods of exposure assessment, and the length of exposure window. Sensitivity analysis and adjustment for publication bias were performed to test the robustness of the results. RESULTS Of 100 studies covering 20 countries worldwide, 81 were for short-term and 19 were for long-term exposure. Almost all air pollutants were adversely associated with the risk of HF in both short- and long-term exposure studies. For short-term exposures, we found the risk of HF increased by 1.8% [relative risk ( RR ) = 1.018 , 95% confidence interval (CI): 1.011, 1.025] and 1.6% (RR = 1.016 , 95% CI: 1.011, 1.020) per 10 - μ g / m 3 increment of PM 2.5 and PM 10 , respectively. HF was also significantly associated with NO 2 , SO 2 , and CO, but not O 3 . Positive associations were stronger when exposure was considered over the previous 2 d (lag 0-1) rather than on the day of exposure only (lag 0). For long-term exposures, there were significant associations between several air pollutants and HF with RR (95% CI) of 1.748 (1.112, 2.747) per 10 - μ g / m 3 increment in PM 2.5 , 1.212 (1.010, 1.454) per 10 - μ g / m 3 increment in PM 10 , and 1.204 (1.069, 1.356) per 10 -ppb increment in NO 2 , respectively. The adverse associations of most pollutants with HF were greater in low- and middle-income countries than in high-income countries. Sensitivity analysis demonstrated the robustness of our results. DISCUSSION Available evidence highlighted adverse associations between air pollution and HF regardless of short- and long-term exposure. Air pollution is still a prevalent public health issue globally and sustained policies and actions are called for to reduce the burden of HF. https://doi.org/10.1289/EHP11506.
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Affiliation(s)
- Yanhui Jia
- Key Laboratory of Cardiovascular Epidemiology, Department of Epidemiology, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College/National Center for Cardiovascular Diseases, Beijing, China
| | - Zhennan Lin
- Key Laboratory of Cardiovascular Epidemiology, Department of Epidemiology, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College/National Center for Cardiovascular Diseases, Beijing, China
| | - Zhi He
- Key Laboratory of Cardiovascular Epidemiology, Department of Epidemiology, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College/National Center for Cardiovascular Diseases, Beijing, China
| | - Chenyang Li
- Key Laboratory of Cardiovascular Epidemiology, Department of Epidemiology, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College/National Center for Cardiovascular Diseases, Beijing, China
| | - Youjing Zhang
- Key Laboratory of Cardiovascular Epidemiology, Department of Epidemiology, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College/National Center for Cardiovascular Diseases, Beijing, China
| | - Jingyu Wang
- Key Laboratory of Cardiovascular Epidemiology, Department of Epidemiology, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College/National Center for Cardiovascular Diseases, Beijing, China
| | - Fangchao Liu
- Key Laboratory of Cardiovascular Epidemiology, Department of Epidemiology, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College/National Center for Cardiovascular Diseases, Beijing, China
| | - Jianxin Li
- Key Laboratory of Cardiovascular Epidemiology, Department of Epidemiology, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College/National Center for Cardiovascular Diseases, Beijing, China
| | - Keyong Huang
- Key Laboratory of Cardiovascular Epidemiology, Department of Epidemiology, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College/National Center for Cardiovascular Diseases, Beijing, China
| | - Jie Cao
- Key Laboratory of Cardiovascular Epidemiology, Department of Epidemiology, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College/National Center for Cardiovascular Diseases, Beijing, China
| | - Xinyuan Gong
- Department of Science and Education, Tianjin First Central Hospital, Tianjin, China
| | - Xiangfeng Lu
- Key Laboratory of Cardiovascular Epidemiology, Department of Epidemiology, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College/National Center for Cardiovascular Diseases, Beijing, China
| | - Shufeng Chen
- Key Laboratory of Cardiovascular Epidemiology, Department of Epidemiology, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College/National Center for Cardiovascular Diseases, Beijing, China
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Yuan C, Liu F, Huang K, Shen C, Li J, Liang F, Yang X, Cao J, Chen S, Hu D, Huang J, Liu Y, Lu X, Gu D. Association of Long-Term Exposure to Ambient Fine Particulate Matter with Atherosclerotic Cardiovascular Disease Incidence Varies across Populations with Different Predicted Risks: The China-PAR Project. Environ Sci Technol 2023. [PMID: 37368969 DOI: 10.1021/acs.est.3c01460] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/29/2023]
Abstract
Previous studies have established a significant link between ambient fine particulate matter (PM2.5) exposure and atherosclerotic cardiovascular disease (ASCVD) incidence, but whether this association varies across populations with different predicted ASCVD risks was uncertain previously. We included 109,374 Chinese adults without ASCVD at baseline from the Prediction for Atherosclerotic Cardiovascular Disease Risk in China (China-PAR) project. We obtained PM2.5 data of participants' residential address from 2000 to 2015 using a satellite-based spatiotemporal model. Participants were classified into low-to-medium and high-risk groups according to the ASCVD 10-year and lifetime risk prediction scores. Hazard ratios (HRs) and 95% confidence intervals (CIs) for PM2.5 exposure-related incident ASCVD, as well as the multiplication and additive interaction, were calculated using stratified Cox proportional hazard models. The additive interaction between risk stratification and PM2.5 exposure was estimated by the synergy index (SI), the attributable proportion due to the interaction (API), and the relative excess risk due to interaction (RERI). Over the follow-up of 833,067 person-years, a total of 4230 incident ASCVD cases were identified. Each 10 μg/m3 increment of PM2.5 concentration was associated with 18% (HR: 1.18; 95% CI: 1.14-1.23) increased risk of ASCVD in the total population, and the association was more pronounced among individuals having a high predicted ASCVD risk than those having a low-to-medium risk, with the HR (95% CI) of 1.24 (1.19-1.30) and 1.11 (1.02-1.20) per 10 μg/m3 increment in PM2.5 concentration, respectively. The RERI, API, and SI were 1.22 (95% CI: 0.62-1.81), 0.22 (95% CI: 0.12-0.32), and 1.37 (95% CI: 1.16-1.63), respectively. Our findings demonstrate a significant synergistic effect on ASCVD between ASCVD risk stratification and PM2.5 exposure and highlight the potential health benefits of reducing PM2.5 exposure in Chinese, especially among those with high ASCVD risk.
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Affiliation(s)
- Chenxi Yuan
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing 211166, China
- Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China
- Key Laboratory of Cardiovascular Epidemiology, Chinese Academy of Medical Sciences, Beijing 100037, China
- Research Units of Cohort Study on Cardiovascular Diseases and Cancers, Chinese Academy of Medical Sciences, Beijing 100730, China
| | - Fangchao Liu
- Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China
- Key Laboratory of Cardiovascular Epidemiology, Chinese Academy of Medical Sciences, Beijing 100037, China
| | - Keyong Huang
- Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China
- Key Laboratory of Cardiovascular Epidemiology, Chinese Academy of Medical Sciences, Beijing 100037, China
| | - Chong Shen
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing 211166, China
- Research Units of Cohort Study on Cardiovascular Diseases and Cancers, Chinese Academy of Medical Sciences, Beijing 100730, China
| | - Jianxin Li
- Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China
- Key Laboratory of Cardiovascular Epidemiology, Chinese Academy of Medical Sciences, Beijing 100037, China
| | - Fengchao Liang
- School of Public Health and Emergency Management, Southern University of Science and Technology, Shenzhen 518055, China
| | - Xueli Yang
- Tianjin Key Laboratory of Environment, Nutrition and Public Health; Department of Occupational and Environmental Health, School of Public Health, Tianjin Medical University, Tianjin 300070, China
| | - Jie Cao
- Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China
- Key Laboratory of Cardiovascular Epidemiology, Chinese Academy of Medical Sciences, Beijing 100037, China
| | - Shufeng Chen
- Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China
- Key Laboratory of Cardiovascular Epidemiology, Chinese Academy of Medical Sciences, Beijing 100037, China
| | - Dongsheng Hu
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou 450001, China
- Department of Epidemiology and Health Statistics, School of Public Health, Shenzhen University Health Science Center, Shenzhen 518071, China
| | - Jianfeng Huang
- Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China
- Key Laboratory of Cardiovascular Epidemiology, Chinese Academy of Medical Sciences, Beijing 100037, China
| | - Yang Liu
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, Georgia 30322 United States
| | - Xiangfeng Lu
- Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China
- Key Laboratory of Cardiovascular Epidemiology, Chinese Academy of Medical Sciences, Beijing 100037, China
| | - Dongfeng Gu
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing 211166, China
- Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China
- Key Laboratory of Cardiovascular Epidemiology, Chinese Academy of Medical Sciences, Beijing 100037, China
- School of Public Health and Emergency Management, Southern University of Science and Technology, Shenzhen 518055, China
- School of Medicine, Southern University of Science and Technology, Shenzhen 518055, China
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20
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Aihaiti X, Chen S, Li J, Lin Z, Cui Q, Xia X, Liu F, Shen C, Hu D, Huang K, Zhao Y, Lu F, Liu X, Cao J, Yu L, Li Y, Zhang H, Fu Z, Zhao L, Huang J, Gu D, Lu X. Prevalence of familial hypercholesterolemia and its association with coronary artery disease: A Chinese cohort study. Chronic Dis Transl Med 2023; 9:134-142. [PMID: 37305106 PMCID: PMC10249193 DOI: 10.1002/cdt3.69] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2023] [Revised: 03/14/2023] [Accepted: 04/06/2023] [Indexed: 06/13/2023] Open
Abstract
Background Familial hypercholesterolemia (FH) is underrecognized, and its association with coronary artery disease (CAD) remains limited, especially in China. We aimed to investigate the prevalence of FH and its relationship with CAD in a large Chinese cohort. Methods FH was defined using the Make Early Diagnosis to Prevent Early Death (MEDPED) criteria. The crude and age-sex standardized prevalence of FH were calculated based on surveys of the Prediction for Atherosclerotic Cardiovascular Disease Risk in China (China-PAR) project during 2007-2008. The associations of FH with incident CAD and its major subtypes were estimated with the cohort-stratified multivariate Cox proportional hazard models based on the data from the baseline to the last follow-up (2018-2020). Results Among 98,885 included participants, 190 participants were defined as FH. Crude and age-sex standardized prevalence and 95% confidence interval (CI) of FH were 0.19% (0.17%-0.22%) and 0.13% (0.10%-0.16%), respectively. The prevalence varied across age groups and peaked in the group of 60-<70 years (0.28%), and the peak prevalence (0.18%) in males was earlier, yet lower than the peak crude prevalence in females (0.41%). During a mean follow-up of 10.7 years, 2493 cases of incident CAD were identified. After multivariate adjustment, FH patients had a 2.03-fold greater risk of developing CAD compared to non-FH participants. Conclusions The prevalence of FH was estimated to be 0.19% in the participants, and it was associated with an elevated risk of incident CAD. Our study suggests that early screening of FH has certain public health significance for the prevention of CAD.
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Affiliation(s)
- Xiapikatijiang Aihaiti
- Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular DiseasesChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
- Key Laboratory of Cardiovascular EpidemiologyChinese Academy of Medical Sciences & Peking Union Medical CollegeBeijingChina
| | - Shufeng Chen
- Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular DiseasesChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
| | - Jianxin Li
- Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular DiseasesChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
| | - Zhennan Lin
- Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular DiseasesChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
| | - Qingmei Cui
- Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular DiseasesChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
| | - Xue Xia
- Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular DiseasesChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
- China National Clinical Research Center for Neurological Diseases Beijing Tiantan HospitalCapital Medical UniversityBejingChina
| | - Fangchao Liu
- Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular DiseasesChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
| | - Chong Shen
- Department of Epidemiology and Biostatistics, Center for Global Health, School of Public HealthNanjing Medical UniversityNanjingJiangsuChina
| | - Dongsheng Hu
- School of Public HealthZhengzhou UniversityZhengzhouHenanChina
- School of Public HealthShenzhen UniversityShenzhenGuangdongChina
| | - Keyong Huang
- Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular DiseasesChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
| | - Yingxin Zhao
- Cardio‐Cerebrovascular Control and Research Center, Institute of Basic MedicineShandong Academy of Medical SciencesJinanShandongChina
| | - Fanghong Lu
- Cardio‐Cerebrovascular Control and Research Center, Institute of Basic MedicineShandong Academy of Medical SciencesJinanShandongChina
| | - Xiaoqing Liu
- Division of EpidemiologyGuangdong Provincial People's Hospital Guangdong Cardiovascular InstituteGuangzhouGuangdongChina
| | - Jie Cao
- Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular DiseasesChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
| | - Ling Yu
- Department of CardiologyFujian Provincial People's HospitalFuzhouFujianChina
| | - Ying Li
- Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular DiseasesChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
| | - Huan Zhang
- Center for Genetic Epidemiology and Genomics, School of Public Health and Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric DiseasesSoochow University Medical CollegeSuzhouJiangsuChina
| | - Zhenyan Fu
- Department of CardiologyFirst Affiliated Hospital of Xinjiang Medical UniversityUrumqiXinjiangChina
| | - Liancheng Zhao
- Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular DiseasesChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
| | - Jianfeng Huang
- Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular DiseasesChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
| | - Dongfeng Gu
- Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular DiseasesChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
- School of MedicineSouthern University of Science and TechnologyShenzhenGuangdongChina
| | - Xiangfeng Lu
- Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular DiseasesChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
- Key Laboratory of Cardiovascular EpidemiologyChinese Academy of Medical Sciences & Peking Union Medical CollegeBeijingChina
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Luo J, Bai X, Huang K, Wang T, Yang R, Li L, Tian Q, Xu R, Li T, Wang Y, Chen Y, Gao P, Chen J, Yang B, Ma Y, Jiao L. Clinical Relevance of Plaque Distribution for Basilar Artery Stenosis. AJNR Am J Neuroradiol 2023; 44:530-535. [PMID: 37024307 PMCID: PMC10171387 DOI: 10.3174/ajnr.a7839] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2022] [Accepted: 03/01/2023] [Indexed: 04/08/2023]
Abstract
BACKGROUND AND PURPOSE There is no clear association between plaque distribution and postoperative complications in patients with basilar artery atherosclerotic stenosis. The aim of this study was to determine whether plaque distribution and postoperative complications after endovascular treatment for basilar artery stenosis are related. MATERIALS AND METHODS Our study enrolled patients with severe basilar artery stenosis who were scanned with high-resolution MR imaging and followed by DSA before the intervention. According to high-resolution MR imaging, plaques can be classified as ventral, lateral, dorsal, or involved in 2 quadrants. Plaques affecting the proximal, distal, or junctional segments of the basilar artery were classified according to DSA. An experienced independent team assessed ischemic events after the intervention using MR imaging. Further analysis was conducted to determine the relationship between plaque distribution and postoperative complications. RESULTS A total of 140 eligible patients were included in the study, with a postoperative complication rate of 11.4%. These patients were an average age of 61.9 (SD, 7.7) years. Dorsal wall plaques accounted for 34.3% of all plaques, and plaques distal to the anterior-inferior cerebellar artery accounted for 60.7%. Postoperative complications of endovascular treatment were associated with plaques located at the lateral wall (OR = 4.00; 95% CI, 1.21-13.23; P = .023), junctional segment (OR = 8.75; 95% CI, 1.16-66.22; P = .036), and plaque burden (OR = 1.03; 95% CI, 1.01-1.06; P = .042). CONCLUSIONS Plaques with a large burden located at the junctional segment and lateral wall of the basilar artery may increase the likelihood of postoperative complications following endovascular therapy. A larger sample size is needed for future studies.
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Affiliation(s)
- J Luo
- From the China International Neuroscience Institute (J.L., X.B., T.W., R.Y., L.L., R.X., T.L., Y.W., Y.C., P.G., J.C., B.Y., Y.M., L.J.), Beijing, China
- Department of Neurosurgery (J.L., X.B., T.W., R.Y., L.L., R.X., T.L., Y.W., Y.C., P.G., J.C., B.Y., Y.M., L.J.)
| | - X Bai
- From the China International Neuroscience Institute (J.L., X.B., T.W., R.Y., L.L., R.X., T.L., Y.W., Y.C., P.G., J.C., B.Y., Y.M., L.J.), Beijing, China
- Department of Neurosurgery (J.L., X.B., T.W., R.Y., L.L., R.X., T.L., Y.W., Y.C., P.G., J.C., B.Y., Y.M., L.J.)
| | - K Huang
- The Eighth Affiliated Hospital (K.H.), SUN YAT-SEN University, Shenzhen, Guangdong Province, China
| | - T Wang
- From the China International Neuroscience Institute (J.L., X.B., T.W., R.Y., L.L., R.X., T.L., Y.W., Y.C., P.G., J.C., B.Y., Y.M., L.J.), Beijing, China
- Department of Neurosurgery (J.L., X.B., T.W., R.Y., L.L., R.X., T.L., Y.W., Y.C., P.G., J.C., B.Y., Y.M., L.J.)
| | - R Yang
- From the China International Neuroscience Institute (J.L., X.B., T.W., R.Y., L.L., R.X., T.L., Y.W., Y.C., P.G., J.C., B.Y., Y.M., L.J.), Beijing, China
- Department of Neurosurgery (J.L., X.B., T.W., R.Y., L.L., R.X., T.L., Y.W., Y.C., P.G., J.C., B.Y., Y.M., L.J.)
| | - L Li
- From the China International Neuroscience Institute (J.L., X.B., T.W., R.Y., L.L., R.X., T.L., Y.W., Y.C., P.G., J.C., B.Y., Y.M., L.J.), Beijing, China
- Department of Neurosurgery (J.L., X.B., T.W., R.Y., L.L., R.X., T.L., Y.W., Y.C., P.G., J.C., B.Y., Y.M., L.J.)
| | - Q Tian
- Xuanwu Hospital, Beijing Key Laboratory of Clinical Epidemiology (Q.T.), School of Public Health
| | - R Xu
- From the China International Neuroscience Institute (J.L., X.B., T.W., R.Y., L.L., R.X., T.L., Y.W., Y.C., P.G., J.C., B.Y., Y.M., L.J.), Beijing, China
- Department of Neurosurgery (J.L., X.B., T.W., R.Y., L.L., R.X., T.L., Y.W., Y.C., P.G., J.C., B.Y., Y.M., L.J.)
| | - T Li
- From the China International Neuroscience Institute (J.L., X.B., T.W., R.Y., L.L., R.X., T.L., Y.W., Y.C., P.G., J.C., B.Y., Y.M., L.J.), Beijing, China
- Department of Neurosurgery (J.L., X.B., T.W., R.Y., L.L., R.X., T.L., Y.W., Y.C., P.G., J.C., B.Y., Y.M., L.J.)
| | - Y Wang
- From the China International Neuroscience Institute (J.L., X.B., T.W., R.Y., L.L., R.X., T.L., Y.W., Y.C., P.G., J.C., B.Y., Y.M., L.J.), Beijing, China
- Department of Neurosurgery (J.L., X.B., T.W., R.Y., L.L., R.X., T.L., Y.W., Y.C., P.G., J.C., B.Y., Y.M., L.J.)
| | - Y Chen
- From the China International Neuroscience Institute (J.L., X.B., T.W., R.Y., L.L., R.X., T.L., Y.W., Y.C., P.G., J.C., B.Y., Y.M., L.J.), Beijing, China
- Department of Neurosurgery (J.L., X.B., T.W., R.Y., L.L., R.X., T.L., Y.W., Y.C., P.G., J.C., B.Y., Y.M., L.J.)
| | - P Gao
- From the China International Neuroscience Institute (J.L., X.B., T.W., R.Y., L.L., R.X., T.L., Y.W., Y.C., P.G., J.C., B.Y., Y.M., L.J.), Beijing, China
- Department of Neurosurgery (J.L., X.B., T.W., R.Y., L.L., R.X., T.L., Y.W., Y.C., P.G., J.C., B.Y., Y.M., L.J.)
- Department of Interventional Radiology (P.G., L.J.), Xuanwu Hospital, Capital Medical University, Beijing, China
| | - J Chen
- From the China International Neuroscience Institute (J.L., X.B., T.W., R.Y., L.L., R.X., T.L., Y.W., Y.C., P.G., J.C., B.Y., Y.M., L.J.), Beijing, China
- Department of Neurosurgery (J.L., X.B., T.W., R.Y., L.L., R.X., T.L., Y.W., Y.C., P.G., J.C., B.Y., Y.M., L.J.)
| | - B Yang
- From the China International Neuroscience Institute (J.L., X.B., T.W., R.Y., L.L., R.X., T.L., Y.W., Y.C., P.G., J.C., B.Y., Y.M., L.J.), Beijing, China
- Department of Neurosurgery (J.L., X.B., T.W., R.Y., L.L., R.X., T.L., Y.W., Y.C., P.G., J.C., B.Y., Y.M., L.J.)
| | - Y Ma
- From the China International Neuroscience Institute (J.L., X.B., T.W., R.Y., L.L., R.X., T.L., Y.W., Y.C., P.G., J.C., B.Y., Y.M., L.J.), Beijing, China
- Department of Neurosurgery (J.L., X.B., T.W., R.Y., L.L., R.X., T.L., Y.W., Y.C., P.G., J.C., B.Y., Y.M., L.J.)
| | - L Jiao
- From the China International Neuroscience Institute (J.L., X.B., T.W., R.Y., L.L., R.X., T.L., Y.W., Y.C., P.G., J.C., B.Y., Y.M., L.J.), Beijing, China
- Department of Neurosurgery (J.L., X.B., T.W., R.Y., L.L., R.X., T.L., Y.W., Y.C., P.G., J.C., B.Y., Y.M., L.J.)
- Department of Interventional Radiology (P.G., L.J.), Xuanwu Hospital, Capital Medical University, Beijing, China
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22
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Huang K, Zhu Q, Lu X, Gu D, Liu Y. Satellite-Based Long-Term Spatiotemporal Trends in Ambient NO 2 Concentrations and Attributable Health Burdens in China From 2005 to 2020. Geohealth 2023; 7:e2023GH000798. [PMID: 37206379 PMCID: PMC10190124 DOI: 10.1029/2023gh000798] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 02/06/2023] [Revised: 04/27/2023] [Accepted: 05/04/2023] [Indexed: 05/21/2023]
Abstract
Despite the recent development of using satellite remote sensing to predict surface NO2 levels in China, methods for estimating reliable historical NO2 exposure, especially before the establishment of NO2 monitoring network in 2013, are still rare. A gap-filling model was first adopted to impute the missing NO2 column densities from satellite, then an ensemble machine learning model incorporating three base learners was developed to estimate the spatiotemporal pattern of monthly mean NO2 concentrations at 0.05° spatial resolution from 2005 to 2020 in China. Further, we applied the exposure data set with epidemiologically derived exposure response relations to estimate the annual NO2 associated mortality burdens in China. The coverage of satellite NO2 column densities increased from 46.9% to 100% after gap-filling. The ensemble model predictions had good agreement with observations, and the sample-based, temporal and spatial cross-validation (CV) R 2 were 0.88, 0.82, and 0.73, respectively. In addition, our model can provide accurate historical NO2 concentrations, with both by-year CV R 2 and external separate year validation R 2 achieving 0.80. The estimated national NO2 levels showed a increasing trend during 2005-2011, then decreased gradually until 2020, especially in 2012-2015. The estimated annual mortality burden attributable to long-term NO2 exposure ranged from 305 thousand to 416 thousand, and varied considerably across provinces in China. This satellite-based ensemble model could provide reliable long-term NO2 predictions at a high spatial resolution with complete coverage for environmental and epidemiological studies in China. Our results also highlighted the heavy disease burden by NO2 and call for more targeted policies to reduce the emission of nitrogen oxides in China.
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Affiliation(s)
- Keyong Huang
- Department of EpidemiologyFuwai Hospital, National Center for Cardiovascular DiseasesChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
- Key Laboratory of Cardiovascular EpidemiologyChinese Academy of Medical SciencesBeijingChina
| | - Qingyang Zhu
- Gangarosa Department of Environmental HealthRollins School of Public HealthEmory UniversityAtlantaGAUSA
| | - Xiangfeng Lu
- Department of EpidemiologyFuwai Hospital, National Center for Cardiovascular DiseasesChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
- Key Laboratory of Cardiovascular EpidemiologyChinese Academy of Medical SciencesBeijingChina
| | - Dongfeng Gu
- Department of EpidemiologyFuwai Hospital, National Center for Cardiovascular DiseasesChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
- Key Laboratory of Cardiovascular EpidemiologyChinese Academy of Medical SciencesBeijingChina
- School of MedicineSouthern University of Science and TechnologyShenzhenChina
| | - Yang Liu
- Gangarosa Department of Environmental HealthRollins School of Public HealthEmory UniversityAtlantaGAUSA
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23
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Huang K, Li HY, Chen MH, Zhu TT, Zhang XY, Lyu FF, Lin L, Su MS, Dong L. [Analysis of the clinical features and the risk factors of severe human metapneu movirus-associated community acquired pneumonia in children]. Zhonghua Er Ke Za Zhi 2023; 61:322-327. [PMID: 37011977 DOI: 10.3760/cma.j.cn112140-20221231-01079] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Subscribe] [Scholar Register] [Indexed: 04/05/2023]
Abstract
Objective: To investigate the clinical characteristics and the risk factors of severe human metapneumovirus (hMPV)-associated community acquired pneumonia (CAP) in children. Methods: A retrospective case summary was conducted. From December 2020 to March 2022, 721 children who were diagnosed with CAP and tested positive for hMPV nucleic acid by PCR-capillary electrophoresis fragment analysis of nasopharyngeal secretions at the Yuying Children's Hospital, the Second Affiliated Hospital of Wenzhou Medical University were selected as the research objects. The clinical characteristics, epidemiological characteristics and mixed pathogens of the two groups were analyzed. According to CAP diagnostic criteria, the children were divided into the severe group and the mild group. Chi-square test or Mann-Whitney rank and contrast analysis was used for comparison between groups, while multivariate Logistic regression was applied to analyze the risk factors of the severe hMPV-associated CAP. Results: A total of 721 children who were diagnosed with hMPV-associated CAP were included in this study, with 397 males and 324 females. There were 154 cases in the severe group. The age of onset was 1.0 (0.9, 3.0) years, <3 years old 104 cases (67.5%), and the length of hospital stay was 7 (6, 9) days. In the severe group, 67 children (43.5%) were complicated with underlying diseases. In the severe group, 154 cases (100.0%) had cough, 148 cases (96.1%) had shortness of breath and pulmonary moist rales, and 132 cases (85.7%) had fever, 23 cases (14.9%) were complicated with respiratory failure. C-reactive protein (CRP) was elevated in 86 children (55.8%), including CRP≥50 mg/L in 33 children (21.4%). Co-infection was detected in 77 cases (50.0%) and 102 strains of pathogen were detected, 25 strains of rhinovirus, 17 strains of Mycoplasma pneumoniae, 15 strains of Streptococcus pneumoniae, 12 strains of Haemophilus influenzae and 10 strains of respiratory syncytial virus were detected. Six cases (3.9%) received heated and humidified high flow nasal cannula oxygen therapy, 15 cases (9.7%) were admitted to intensive care unit, and 2 cases (1.3%) received mechanical ventilation. In the severe group, 108 children were cured, 42 children were improved, 4 chlidren were discharged automatically without recovery and no death occurred. There were 567 cases in the mild group. The age of onset was 2.7 (1.0, 4.0) years, and the length of hospital stay was 4 (4, 6) days.Compared with the mild group, the proportion of children who age of disease onset <6 months, CRP≥50 mg/L, the proportions of preterm birth, congenital heart disease, malnutrition, congenital airway malformation, neuromuscular disease, mixed respiratory syncytial viruses infection were higher (20 cases (13.0%) vs. 31 cases (5.5%), 32 cases (20.8%) vs. 64 cases (11.3%), 23 cases (14.9%) vs. 44 cases (7.8%), 11 cases (7.1%) vs. 18 cases (3.2%), 9 cases (5.8%) vs. 6 cases (1.1%), 11 cases (7.1%) vs. 12 cases (2.1%), 8 cases (5.2%) vs. 4 cases (0.7%), 10 cases (6.5%) vs. 13 cases (2.3%), χ2=0.42, 9.45, 7.40, 4.94, 11.40, 8.35, 3.52, 6.92, all P<0.05). Multivariate Logistic regression analysis showed that age<6 months (OR=2.51, 95%CI 1.29-4.89), CRP≥50 mg/L (OR=2.20, 95%CI 1.36-3.57), prematurity (OR=2.19, 95%CI 1.26-3.81), malnutrition (OR=6.05, 95%CI 1.89-19.39) were the independent risk factors for severe hMPV-associated CAP. Conclusions: Severe hMPV-associated CAP is most likely to occur in infants under 3 years old and has a higher proportion of underlying diseases and co-infection. The main clinical manifestations are cough, shortness of breath and pulmonary moist rales, fever. The overall prognosis is good. Age<6 months, CRP≥50 mg/L, preterm birth, malnutrition are the independent risk factors for severe hMPV-associated CAP.
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Affiliation(s)
- K Huang
- Department of Pediatric Respiratory Medicine, the Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou 325027, China
| | - H Y Li
- Department of Pediatric Respiratory Medicine, the Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou 325027, China
| | - M H Chen
- Department of Pediatric Respiratory Medicine, the Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou 325027, China
| | - T T Zhu
- Department of Pediatric Respiratory Medicine, the Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou 325027, China
| | - X Y Zhang
- Department of Pediatric Respiratory Medicine, the Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou 325027, China
| | - F F Lyu
- Department of Pediatric Respiratory Medicine, the Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou 325027, China
| | - L Lin
- Department of Pediatric Respiratory Medicine, the Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou 325027, China
| | - M S Su
- Department of Pediatric Respiratory Medicine, the Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou 325027, China
| | - L Dong
- Department of Pediatric Respiratory Medicine, the Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou 325027, China
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Hu CY, Achari A, Rowe P, Xiao H, Suran S, Li Z, Huang K, Chi C, Cherian CT, Sreepal V, Bentley PD, Pratt A, Zhang N, Novoselov KS, Michaelides A, Nair RR. pH-dependent water permeability switching and its memory in MoS 2 membranes. Nature 2023; 616:719-723. [PMID: 37076621 DOI: 10.1038/s41586-023-05849-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2022] [Accepted: 02/15/2023] [Indexed: 04/21/2023]
Abstract
Intelligent transport of molecular species across different barriers is critical for various biological functions and is achieved through the unique properties of biological membranes1-4. Two essential features of intelligent transport are the ability to (1) adapt to different external and internal conditions and (2) memorize the previous state5. In biological systems, the most common form of such intelligence is expressed as hysteresis6. Despite numerous advances made over previous decades on smart membranes, it remains a challenge to create a synthetic membrane with stable hysteretic behaviour for molecular transport7-11. Here we demonstrate the memory effects and stimuli-regulated transport of molecules through an intelligent, phase-changing MoS2 membrane in response to external pH. We show that water and ion permeation through 1T' MoS2 membranes follows a pH-dependent hysteresis with a permeation rate that switches by a few orders of magnitude. We establish that this phenomenon is unique to the 1T' phase of MoS2, due to the presence of surface charge and exchangeable ions on the surface. We further demonstrate the potential application of this phenomenon in autonomous wound infection monitoring and pH-dependent nanofiltration. Our work deepens understanding of the mechanism of water transport at the nanoscale and opens an avenue for the development of intelligent membranes.
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Affiliation(s)
- C Y Hu
- National Graphene Institute, University of Manchester, Manchester, UK
- Department of Chemical Engineering, University of Manchester, Manchester, UK
- Department of Physics and Astronomy, University of Manchester, Manchester, UK
- College of Chemistry and Chemical Engineering, iChEM, Innovation Laboratory for Sciences and Technologies of Energy Materials of Fujian Province (IKKEM), Xiamen University, Xiamen, China
| | - A Achari
- National Graphene Institute, University of Manchester, Manchester, UK.
- Department of Chemical Engineering, University of Manchester, Manchester, UK.
| | - P Rowe
- Yusuf Hamied Department of Chemistry, University of Cambridge, Cambridge, UK
| | - H Xiao
- National Graphene Institute, University of Manchester, Manchester, UK
- Department of Chemical Engineering, University of Manchester, Manchester, UK
| | - S Suran
- National Graphene Institute, University of Manchester, Manchester, UK
- Department of Chemical Engineering, University of Manchester, Manchester, UK
| | - Z Li
- School of Chemical Engineering, Dalian University of Technology, Panjin, China
| | - K Huang
- National Graphene Institute, University of Manchester, Manchester, UK
- Department of Chemical Engineering, University of Manchester, Manchester, UK
| | - C Chi
- National Graphene Institute, University of Manchester, Manchester, UK
- Department of Chemical Engineering, University of Manchester, Manchester, UK
| | - C T Cherian
- National Graphene Institute, University of Manchester, Manchester, UK
- Department of Chemical Engineering, University of Manchester, Manchester, UK
- Department of Physics and Electronics, Christ University, Bangalore, India
| | - V Sreepal
- National Graphene Institute, University of Manchester, Manchester, UK
- Department of Chemical Engineering, University of Manchester, Manchester, UK
| | - P D Bentley
- School of Physics, Engineering and Technology, University of York, York, UK
| | - A Pratt
- School of Physics, Engineering and Technology, University of York, York, UK
| | - N Zhang
- National Graphene Institute, University of Manchester, Manchester, UK
- Department of Chemical Engineering, University of Manchester, Manchester, UK
- School of Chemical Engineering, Dalian University of Technology, Panjin, China
| | - K S Novoselov
- Department of Physics and Astronomy, University of Manchester, Manchester, UK
- Institute for Functional Intelligent Materials, National University of Singapore, Singapore, Singapore
| | - A Michaelides
- Yusuf Hamied Department of Chemistry, University of Cambridge, Cambridge, UK
| | - R R Nair
- National Graphene Institute, University of Manchester, Manchester, UK.
- Department of Chemical Engineering, University of Manchester, Manchester, UK.
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25
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Demehin M, Booth I, Cappuccio W, Ravichandran B, Huang K, Asadi S, Hicks A, Cipriano S, Oldsman M, Joseph S, Plazak M. Impact of Lymphocyte-Depleting Induction on Graft Outcomes in Highly Sensitized Heart Transplant Recipients. J Heart Lung Transplant 2023. [DOI: 10.1016/j.healun.2023.02.1251] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/05/2023] Open
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26
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Ma H, Liu F, Li J, Chen J, Cao J, Chen S, Liu X, Yang X, Huang K, Shen C, Yu L, Zhao Y, Wu X, Zhao L, Li Y, Hu D, Huang J, Lu X, Gu D. Sex Differences in Associations Between Socioeconomic Status and Incident Hypertension Among Chinese Adults. Hypertension 2023; 80:783-791. [PMID: 36695186 DOI: 10.1161/hypertensionaha.122.20061] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/26/2023]
Abstract
BACKGROUND With rapid socioeconomic development and transition, associations between socioeconomic status (SES) and hypertension remained uncertain in China. We aimed to examine the health effects of SES on hypertension incidence and explore the sex differences among Chinese adults. METHODS We included 53 891 participants without hypertension from the China-PAR (Prediction for Atherosclerotic Cardiovascular Disease Risk in China) project. SES was evaluated by education level, occupation prestige, and household monthly per capita income, and categorized into low, medium, and high groups. Hazard ratios and their 95% CIs were calculated using Cox proportional hazards regression models. RESULTS Compared with high SES, participants with medium SES (hazard ratio, 1.142 [95% CI, 1.068-1.220]) or low SES (hazard ratio, 1.166 [95% CI, 1.096-1.241]) had increased risks of incident hypertension in multivariate analyses. Interactions between SES and sex on hypertension were observed, with more pronounced adverse effects of lower SES among women. The corresponding hazard ratios (95% CIs) for low SES group were 1.270 (1.155-1.397) for women and 1.086 (0.999-1.181) for men. Effects of occupation prestige on hypertension were the strongest among SES factors. CONCLUSIONS Our study provided the compelling evidence from China that lower SES was associated with incident hypertension and women were more susceptible. These findings will have substantial implications on future hypertension prevention and management, especially among women. Sex-specific approaches are warranted to reduce socioeconomic disparities.
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Affiliation(s)
- Han Ma
- Department of Epidemiology, Key Laboratory of Cardiovascular Epidemiology, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China (H.M., F.L., J.L., J. Chen, J. Cao, S.C., K.H., L.Z., Y.L., J.H., X. Lu, D.G.)
| | - Fangchao Liu
- Department of Epidemiology, Key Laboratory of Cardiovascular Epidemiology, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China (H.M., F.L., J.L., J. Chen, J. Cao, S.C., K.H., L.Z., Y.L., J.H., X. Lu, D.G.)
| | - Jianxin Li
- Department of Epidemiology, Key Laboratory of Cardiovascular Epidemiology, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China (H.M., F.L., J.L., J. Chen, J. Cao, S.C., K.H., L.Z., Y.L., J.H., X. Lu, D.G.)
| | - Jichun Chen
- Department of Epidemiology, Key Laboratory of Cardiovascular Epidemiology, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China (H.M., F.L., J.L., J. Chen, J. Cao, S.C., K.H., L.Z., Y.L., J.H., X. Lu, D.G.)
| | - Jie Cao
- Department of Epidemiology, Key Laboratory of Cardiovascular Epidemiology, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China (H.M., F.L., J.L., J. Chen, J. Cao, S.C., K.H., L.Z., Y.L., J.H., X. Lu, D.G.)
| | - Shufeng Chen
- Department of Epidemiology, Key Laboratory of Cardiovascular Epidemiology, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China (H.M., F.L., J.L., J. Chen, J. Cao, S.C., K.H., L.Z., Y.L., J.H., X. Lu, D.G.)
| | - Xiaoqing Liu
- Division of Epidemiology, Guangdong Provincial People's Hospital and Cardiovascular Institute, Guangzhou, China (X. Liu)
| | - Xueli Yang
- Department of Occupational and Environmental Health, School of Public Health, Tianjin Medical University, Tianjin, China (X.Y.)
| | - Keyong Huang
- Department of Epidemiology, Key Laboratory of Cardiovascular Epidemiology, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China (H.M., F.L., J.L., J. Chen, J. Cao, S.C., K.H., L.Z., Y.L., J.H., X. Lu, D.G.)
| | - Chong Shen
- Department of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing, China (C.S.)
| | - Ling Yu
- Department of Cardiology, Fujian Provincial Hospital, Fuzhou, China (L.Y.)
| | - Yingxin Zhao
- Cardio-Cerebrovascular Control and Research Center, Institute of Basic Medicine, Shandong Academy of Medical Sciences, Jinan, China (Y.Z.)
| | - Xianping Wu
- Center for Chronic and Noncommunicable Disease Control and Prevention, Sichuan Center for Disease Control and Prevention, Chengdu, China (X.W.)
| | - Liancheng Zhao
- Department of Epidemiology, Key Laboratory of Cardiovascular Epidemiology, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China (H.M., F.L., J.L., J. Chen, J. Cao, S.C., K.H., L.Z., Y.L., J.H., X. Lu, D.G.)
| | - Ying Li
- Department of Epidemiology, Key Laboratory of Cardiovascular Epidemiology, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China (H.M., F.L., J.L., J. Chen, J. Cao, S.C., K.H., L.Z., Y.L., J.H., X. Lu, D.G.)
| | - Dongsheng Hu
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, China (D.H.).,Department of Biostatistics and Epidemiology, School of Public Health, Shenzhen University Health Science Center, Shenzhen, China (D.H.)
| | - Jianfeng Huang
- Department of Epidemiology, Key Laboratory of Cardiovascular Epidemiology, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China (H.M., F.L., J.L., J. Chen, J. Cao, S.C., K.H., L.Z., Y.L., J.H., X. Lu, D.G.)
| | - Xiangfeng Lu
- Department of Epidemiology, Key Laboratory of Cardiovascular Epidemiology, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China (H.M., F.L., J.L., J. Chen, J. Cao, S.C., K.H., L.Z., Y.L., J.H., X. Lu, D.G.)
| | - Dongfeng Gu
- Department of Epidemiology, Key Laboratory of Cardiovascular Epidemiology, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China (H.M., F.L., J.L., J. Chen, J. Cao, S.C., K.H., L.Z., Y.L., J.H., X. Lu, D.G.).,School of Public Health and Emergency Management, School of Medicine, Southern University of Science and Technology, Shenzhen, China (D.G.)
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27
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Li H, Ma H, Li J, Li X, Huang K, Cao J, Li J, Yan W, Chen X, Zhou X, Cui C, Yu X, Liu F, Huang J. Hourly personal temperature exposure and heart rate variability: A multi-center panel study in populations at intermediate to high-risk of cardiovascular disease. Sci Total Environ 2023; 863:160983. [PMID: 36535481 DOI: 10.1016/j.scitotenv.2022.160983] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/03/2022] [Revised: 12/12/2022] [Accepted: 12/12/2022] [Indexed: 06/17/2023]
Abstract
BACKGROUND Several studies reported temperature exposure was associated with altered cardiac automatic function, while this effect of temperature on hourly heart rate variability (HRV) among populations with cardiovascular risks was seldom addressed. METHODS We conducted this panel study in four Chinese cities with three repeated visits among 296 participants at intermediate to high-risk of cardiovascular disease (CVD). Real-time temperature level and 24-h ambulatory electrocardiogram were monitored during each seasonal visit. Linear mixed-effects models were used to investigate associations between individual temperature and HRV parameters, and the seasonal effects and circadian effect were also evaluated. RESULTS We found the overall downward trend of hourly HRV associated with acute exposure to higher temperature. For each 1 °C increment in temperature of 1-3 h prior to HRV measurements (lag 1-3 h), hourly standard deviation of normal-to-normal intervals (SDNN) decreased by 0.38% (95% confidence interval [CI]: 0.22, 0.54), 0.28% (95% CI: 0.12, 0.44), and 0.20% (95% CI: 0.04, 0.36), respectively. Similar inverse associations between temperature and HRV were observed in stratified analyses by temperature level. Inverse associations for cold and warm seasons were also observed, despite some effects gradually decreased and reversed in the warm season as lag times extended. Moreover, HRV showed a more significant reduction with increased temperature during daytime than nighttime. Percent change of hourly SDNN was -0.41% (95% CI: -0.62, -0.21) with 1 °C increment of lag 1 h during daytime, while few obvious changes were revealed during nighttime. CONCLUSIONS Generally, increasing temperature was significantly associated with reduced HRV. Inverse relationships for cold and warm seasons were also observed. Associations during daytime were much more prominent than nighttime. Our findings clarified the relationship of temperature with HRV and provided evidence for prevention approaches to alleviate cardiac automatic dysfunction among populations at intermediate to high-risk of CVD.
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Affiliation(s)
- Hongfan Li
- Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China; Key Laboratory of Cardiovascular Epidemiology, Chinese Academy of Medical Sciences, Beijing 100037, China
| | - Han Ma
- Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China; Key Laboratory of Cardiovascular Epidemiology, Chinese Academy of Medical Sciences, Beijing 100037, China
| | - Jinyue Li
- Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China; Key Laboratory of Cardiovascular Epidemiology, Chinese Academy of Medical Sciences, Beijing 100037, China
| | - Xiahua Li
- Function Test Center, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China
| | - Keyong Huang
- Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China; Key Laboratory of Cardiovascular Epidemiology, Chinese Academy of Medical Sciences, Beijing 100037, China
| | - Jie Cao
- Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China; Key Laboratory of Cardiovascular Epidemiology, Chinese Academy of Medical Sciences, Beijing 100037, China
| | - Jianxin Li
- Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China; Key Laboratory of Cardiovascular Epidemiology, Chinese Academy of Medical Sciences, Beijing 100037, China
| | - Weili Yan
- Clinical Epidemiology & Clinical Trial Unit, Children's Hospital of Fudan University, National Children's Medical Center, Shanghai 201102, China
| | - Xiaotian Chen
- Clinical Epidemiology & Clinical Trial Unit, Children's Hospital of Fudan University, National Children's Medical Center, Shanghai 201102, China
| | - Xiaoyang Zhou
- Department of Cardiology, Renmin Hospital of Wuhan University, Wuhan 430060, China
| | - Chun Cui
- Primary Health Professional Committee, Shaanxi Province Health Care Association, Xi'an 710061, China
| | - Xianglai Yu
- Beilin District Dongguannanjie Community Health Service Center, Xi'an 710048, China
| | - Fangchao Liu
- Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China; Key Laboratory of Cardiovascular Epidemiology, Chinese Academy of Medical Sciences, Beijing 100037, China.
| | - Jianfeng Huang
- Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China; Key Laboratory of Cardiovascular Epidemiology, Chinese Academy of Medical Sciences, Beijing 100037, China.
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Li J, Liu M, Liu F, Chen S, Huang K, Cao J, Shen C, Liu X, Yu L, Zhao Y, Zhang H, Gu S, Zhao L, Li Y, Hu D, Huang J, Gu D, Lu X. Age and Genetic Risk Score and Rates of Blood Lipid Changes in China. JAMA Netw Open 2023; 6:e235565. [PMID: 36988954 PMCID: PMC10061238 DOI: 10.1001/jamanetworkopen.2023.5565] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/30/2023] Open
Abstract
Importance Blood lipids are the primary cause of atherosclerosis. However, little is known about relationships between rates of blood lipid changes and age and genetic risk. Objective To evaluate associations of blood lipid change rates with age and polygenic risk. Design, Setting, and Participants This cohort is from the Prediction for Atherosclerotic Cardiovascular Disease Risk in China, which was established from 1998 to 2008. Participants were followed up until 2020 (mean [SD] follow-up, 13.8 [4.3] years) and received 4 repeated lipid measurements. Data analysis was performed from June to August 2022. A total of 47 691 participants with available genotype data were recruited, and 37 317 participants aged 18 years or older were included in the final analysis after excluding participants who were lost to follow-up or with major chronic diseases, and those without blood lipid measurements at baseline and any follow-up survey. Exposures Age and polygenic risk scores based on 126 lipid-related genetic variants. Main Outcomes and Measures The estimated annual changes (EAC) of blood lipids in milligrams per deciliter. Results This study evaluated 37 317 participants (mean [SD] age of 51.37 [10.82] years; 15 664 [41.98%] were male). The associations of EACs of blood lipids with age differed substantially between male and female participants. Male participants experienced declining change as they got older for total cholesterol (EAC, 0.34 [95% CI, 0.14 to 0.54] mg/dL for age <40 years vs 0.01 [95% CI, -0.11 to 0.13] mg/dL for age ≥60 years), triglyceride (EAC, 3.28 [95% CI, 2.50 to 4.07] mg/dL for age <40 years vs -1.70 [95% CI, -2.02 to -1.38] mg/dL for age ≥60 years), and low-density lipoprotein cholesterol (LDL-C) (EAC, 0.15 [95% CI, -0.02 to 0.32] mg/dL for age <40 years vs 0.01 [95% CI, -0.10 to 0.11] mg/dL for age ≥60 years). Female participants had inverse V-shaped associations and the greatest rate of change appeared in the age group of 40 to 49 years (EAC for total cholesterol, 1.33 [95% CI, 1.22 to 1.44] mg/dL; EAC for triglyceride, 2.28 [95% CI, 1.94 to 2.62] mg/dL; and EAC for LDL-C, 0.94 [95% CI, 0.84 to 1.03] mg/dL). Change in levels of blood lipids were also associated with polygenic risk. Participants at low polygenic risk tended to shift toward lower blood lipid levels, with EACs of -0.16 (95% CI, -0.25 to -0.07) mg/dL; -1.58 (95% CI, -1.78 to -1.37) mg/dL; and -0.13 (95% CI, -0.21 to -0.06) mg/dL for total cholesterol, triglyceride, and LDL-C, respectively. Participants with high polygenic risk had the greatest rates of change for total cholesterol, triglyceride, and LDL-C (EAC, 1.12 [95% CI, 1.03 to 1.21] mg/dL; EAC, 3.57 [95% CI, 3.24 to 3.91] mg/dL; and EAC, 0.73 [95% CI, 0.65 to 0.81] mg/dL, respectively). Similar patterns were also observed across sex and age groups. Conclusions and Relevance In this cohort study, EACs of blood lipids were significantly associated with age and polygenic risk, suggesting that prevention strategies for lipids should focus on individuals with high genetic risk and in the critical age window.
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Affiliation(s)
- Jianxin Li
- Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
- Key Laboratory of Cardiovascular Epidemiology, Chinese Academy of Medical Sciences, Beijing, China
| | - Mengyao Liu
- Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
- Key Laboratory of Cardiovascular Epidemiology, Chinese Academy of Medical Sciences, Beijing, China
| | - Fangchao Liu
- Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Shufeng Chen
- Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Keyong Huang
- Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Jie Cao
- Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Chong Shen
- Department of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Xiaoqing Liu
- Division of Epidemiology, Guangdong Provincial People's Hospital and Cardiovascular Institute, Guangzhou, China
| | - Ling Yu
- Department of Cardiology, Fujian Provincial Hospital, Fuzhou, China
| | - Yingxin Zhao
- Cardio-Cerebrovascular Control and Research Center, Institute of Basic Medicine, Shandong Academy of Medical Sciences, Jinan, China
| | - Huan Zhang
- Department of Epidemiology, School of public health, Medical College of Soochow University, Suzhou, China
| | - Shujun Gu
- Department of Chronic Disease Control and Prevention, Changshu Center for Disease Control and Prevention, Changshu, China
| | - Liancheng Zhao
- Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Ying Li
- Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Dongsheng Hu
- Department of Biostatistics and Epidemiology, School of Public Health, Shenzhen University Health Science Center, Shenzhen, China
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, China
| | - Jianfeng Huang
- Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Dongfeng Gu
- Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
- Key Laboratory of Cardiovascular Epidemiology, Chinese Academy of Medical Sciences, Beijing, China
- School of Medicine, Southern University of Science and Technology, Shenzhen, China
| | - Xiangfeng Lu
- Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
- Key Laboratory of Cardiovascular Epidemiology, Chinese Academy of Medical Sciences, Beijing, China
- National Clinical Research Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
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Yuan X, Liang F, Zhu J, Huang K, Dai L, Li X, Wang Y, Li Q, Lu X, Huang J, Liao L, Liu Y, Gu D, Liu H, Liu F. Maternal Exposure to PM 2.5 and the Risk of Congenital Heart Defects in 1.4 Million Births: A Nationwide Surveillance-Based Study. Circulation 2023; 147:565-574. [PMID: 36780386 PMCID: PMC9988362 DOI: 10.1161/circulationaha.122.061245] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/12/2022] [Accepted: 12/05/2022] [Indexed: 02/15/2023]
Abstract
BACKGROUND Evidence remains limited about the association of maternal exposure to ambient fine particulate matter (airborne particles with an aerodynamic diameter ≤2.5 µm [PM2.5]) with fetal congenital heart defects (CHDs) in highly polluted regions, and few studies have focused on preconception exposure. METHODS Using a nationwide surveillance-based case-control design in China, we examined the association between maternal exposure to PM2.5 during periconception (defined as 3 months before conception until 3 months into pregnancy) and risk of CHD in offspring. The study included 1 434 998 births involving 7335 CHDs from 2014 through 2017 on the basis of the National Population-Based Birth Defects Surveillance System, covering 30 provinces, municipalities, or municipal districts in China. We assigned maternal PM2.5 exposure during the periconception period to each participant using satellite-based PM2.5 concentrations at 1-km spatial resolution. Multilevel logistic regression models were used to calculate the multivariable-adjusted odds ratio and 95% CI for CHDs in offspring associated with maternal PM2.5 exposure, and the exposure-response association was investigated using restricted cubic spline analysis. Subgroup or sensitivity analyses were conducted to identify factors that may modify the association. RESULTS The average maternal exposure to PM2.5 levels across all participants was 56.51 μg/m3 (range, 10.95 to 182.13 μg/m3). For each 10 μg/m³ increase in maternal PM2.5 exposure, the risk of CHDs in offspring was increased by 2% (odds ratio, 1.02 [95% CI, 1.00 to 1.05]), and septal defect was the most influenced subtype (odds ratio, 1.04 [95% CI, 1.01 to 1.08]). The effect of PM2.5 on CHD risk was more pronounced during the preconception period. Mothers <35 years of age, those living in northern China, and those living in low-income areas were more susceptible to PM2.5 exposure than their counterparts (all P<0.05). PM2.5 exposure showed a linear association with total CHDs or specific CHD types. CONCLUSIONS High maternal PM2.5 exposure, especially during the preconception period, increases risk of certain types of CHD in offspring. These findings are useful for CHD prevention and highlight the public health benefits of improving air quality in China and other highly polluted regions.
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Affiliation(s)
- Xuelian Yuan
- National Office for Maternal and Child Health Surveillance
of China, West China Second University Hospital, Sichuan University, Chengdu,
Sichuan 610041, China
- Key Laboratory of Birth Defects and Related Diseases of
Women and Children, Ministry of Education, Sichuan University, Chengdu, Sichuan
610041, China
| | - Fengchao Liang
- Shenzhen Key Laboratory of Cardiovascular Health and
Precision Medicine, Southern University of Science and Technology, Shenzhen 518055,
China
- School of Public Health and Emergency Management, Southern
University of Science and Technology, Shenzhen 518055, China
| | - Jun Zhu
- National Office for Maternal and Child Health Surveillance
of China, West China Second University Hospital, Sichuan University, Chengdu,
Sichuan 610041, China
- Key Laboratory of Birth Defects and Related Diseases of
Women and Children, Ministry of Education, Sichuan University, Chengdu, Sichuan
610041, China
| | - Keyong Huang
- Department of Epidemiology, Fuwai Hospital, National Center
for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union
Medical College, Beijing 100037, China
- Key Laboratory of Cardiovascular Epidemiology, Chinese
Academy of Medical Sciences, Beijing 100037, China
| | - Li Dai
- National Office for Maternal and Child Health Surveillance
of China, West China Second University Hospital, Sichuan University, Chengdu,
Sichuan 610041, China
- Key Laboratory of Birth Defects and Related Diseases of
Women and Children, Ministry of Education, Sichuan University, Chengdu, Sichuan
610041, China
| | - Xiaohong Li
- National Office for Maternal and Child Health Surveillance
of China, West China Second University Hospital, Sichuan University, Chengdu,
Sichuan 610041, China
- Key Laboratory of Birth Defects and Related Diseases of
Women and Children, Ministry of Education, Sichuan University, Chengdu, Sichuan
610041, China
| | - Yanping Wang
- National Office for Maternal and Child Health Surveillance
of China, West China Second University Hospital, Sichuan University, Chengdu,
Sichuan 610041, China
- Key Laboratory of Birth Defects and Related Diseases of
Women and Children, Ministry of Education, Sichuan University, Chengdu, Sichuan
610041, China
| | - Qi Li
- National Center for Birth Defects Monitoring of China, West
China Second University Hospital, Sichuan University, Chengdu, Sichuan 610041,
China
| | - Xiangfeng Lu
- Department of Epidemiology, Fuwai Hospital, National Center
for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union
Medical College, Beijing 100037, China
- Key Laboratory of Cardiovascular Epidemiology, Chinese
Academy of Medical Sciences, Beijing 100037, China
| | - Jianfeng Huang
- Department of Epidemiology, Fuwai Hospital, National Center
for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union
Medical College, Beijing 100037, China
- Key Laboratory of Cardiovascular Epidemiology, Chinese
Academy of Medical Sciences, Beijing 100037, China
| | - Lihui Liao
- Department of Pediatric Neurology Nursing, West China
Second University Hospital, Sichuan University, Chengdu, Sichuan 610041, China
| | - Yang Liu
- Gangarosa Department of Environmental Health, Rollins
School of Public Health, Emory University, Atlanta, GA 30322, USA
| | - Dongfeng Gu
- Shenzhen Key Laboratory of Cardiovascular Health and
Precision Medicine, Southern University of Science and Technology, Shenzhen 518055,
China
- School of Public Health and Emergency Management, Southern
University of Science and Technology, Shenzhen 518055, China
- Department of Epidemiology, Fuwai Hospital, National Center
for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union
Medical College, Beijing 100037, China
- Key Laboratory of Cardiovascular Epidemiology, Chinese
Academy of Medical Sciences, Beijing 100037, China
- School of Medicine, Southern University of Science and
Technology, Shenzhen 510085, China
| | - Hanmin Liu
- Key Laboratory of Birth Defects and Related Diseases of
Women and Children, Ministry of Education, Sichuan University, Chengdu, Sichuan
610041, China
- Department of Pediatrics, West China Second University
Hospital, Sichuan University, Chengdu, Sichuan 610041, China
- Sichuan Birth Defects Clinical Research Center, West China
Second University Hospital, Sichuan University, Chengdu, Sichuan 610041, China
- National Health Commission Key Laboratory of
Chronobiology, Sichuan University, Chengdu, China
| | - Fangchao Liu
- Department of Epidemiology, Fuwai Hospital, National Center
for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union
Medical College, Beijing 100037, China
- Key Laboratory of Cardiovascular Epidemiology, Chinese
Academy of Medical Sciences, Beijing 100037, China
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30
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Cui Q, Liu Z, Li J, Liu F, Niu X, Shen C, Hu D, Huang K, Chen S, Zhao Y, Lu F, Liu X, Cao J, Wang L, Ma H, Yu L, Wu X, Li Y, Zhang H, Mo X, Zhao L, Hu Z, Shen H, Huang J, Lu X, Gu D. Impact of cardiovascular health and genetic risk on coronary artery disease in Chinese adults. Heart 2023; 109:756-762. [PMID: 36539268 DOI: 10.1136/heartjnl-2022-321657] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/20/2022] [Accepted: 11/28/2022] [Indexed: 02/04/2023] Open
Abstract
OBJECTIVE To examine whether adherence to ideal cardiovascular health (CVH) can mitigate the genetic risk of coronary artery disease (CAD) in non-European populations. METHODS Fine and Grey's models were used to calculate HRs and their corresponding 95% CIs, as well as the lifetime risk of CVH metrics across Polygenic Risk Score (PRS) categories. RESULTS We included 39 755 individuals aged 30-75 years in Chinese prospective cohorts. 1275 CAD cases were recorded over a mean follow-up of 12.9 years. Compared with unfavourable CVH profile (zero to three ideal CVH metrics), favourable CVH profile (six to seven ideal CVH metrics) demonstrated similar relative effects across PRS categories, with the HRs of 0.40 (95% CI 0.24 to 0.67), 0.41 (95% CI 0.32 to 0.52) and 0.36 (95% CI 0.26 to 0.52) in low (bottom quintile of PRS), intermediate (two to four quintiles of PRS) and high (top quintile of PRS) PRS categories, respectively. For the absolute risk reduction (ARR), individuals with high PRS achieved the greatest benefit from favourable CVH, mitigating the risk to the average level of population (from 21.1% to 8.7%), and the gradient was strengthened in individuals at the top 5% of PRS. Moreover, compared with individuals at low PRS, those at high PRS obtained longer CAD-free years (2.6 vs 1.1) from favourable CVH at the index age of 35 years. CONCLUSION Favourable CVH profile reduced the CAD relative risk by similar magnitude across PRS categories, while the ARR from favourable CVH was most pronounced in high PRS category. Attaining favourable CVH should be encouraged for all individuals, especially in individuals with high genetic susceptibility.
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Affiliation(s)
- Qingmei Cui
- Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.,Key Laboratory of Cardiovascular Epidemiology, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Zhongying Liu
- Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.,Key Laboratory of Cardiovascular Epidemiology, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Jianxin Li
- Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Fangchao Liu
- Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Xiaoge Niu
- Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.,Department of Nephrology, Henan Provincial Key Laboratory of Kidney Disease and Immunology, Henan Provincial Clinical Research Center for Kidney Disease, Henan Provincial People's Hospital, Zhengzhou, Henan, China
| | - Chong Shen
- Department of Epidemiology and Biostatistics, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu, China
| | - Dongsheng Hu
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, China.,Department of Prevention Medicine, Shenzhen University College of Medicine, Shenzhen, Guangdong, China
| | - Keyong Huang
- Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Shufeng Chen
- Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Yingxin Zhao
- Cardio-Cerebrovascular Control and Research Center, Institute of Basic Medicine, Shandong Academy of Medical Sciences, Jinan, Shandong, China
| | - Fanghong Lu
- Cardio-Cerebrovascular Control and Research Center, Institute of Basic Medicine, Shandong Academy of Medical Sciences, Jinan, Shandong, China
| | - Xiaoqing Liu
- Division of Epidemiology, Guangdong Provincial People's Hospital Guangdong Cardiovascular Institute, Guangzhou, Guangdong, China
| | - Jie Cao
- Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Laiyuan Wang
- Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Hongxia Ma
- Department of Epidemiology and Biostatistics, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu, China
| | - Ling Yu
- Department of Cardiology, Fujian Provincial People's Hospital, Fuzhou, Fujian, China
| | - Xianping Wu
- Department of Chronic and Non-communicable Disease Control and Prevention, Sichuan Center for Disease Control and Prevention, Chengdu, Sichuan, China
| | - Ying Li
- Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Huan Zhang
- Center for Genetic Epidemiology and Genomics, School of Public Health and Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Soochow University Medical College, Suzhou, Jiangsu, China
| | - Xingbo Mo
- Center for Genetic Epidemiology and Genomics, School of Public Health and Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Soochow University Medical College, Suzhou, Jiangsu, China
| | - Liancheng Zhao
- Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Zhibin Hu
- Department of Epidemiology and Biostatistics, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu, China
| | - Hongbing Shen
- Department of Epidemiology and Biostatistics, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu, China.,Research Units of Cohort Study on Cardiovascular Diseases and Cancers, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, Beijing, China
| | - Jianfeng Huang
- Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Xiangfeng Lu
- Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China .,Key Laboratory of Cardiovascular Epidemiology, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Dongfeng Gu
- Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China .,Key Laboratory of Cardiovascular Epidemiology, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.,School of Medicine, Southern University of Science and Technology, Shenzhen, Guangdong, China
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31
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Xu RZ, Gu X, Zhao WX, Zhou JS, Zhang QQ, Du X, Li YD, Mao YH, Zhao D, Huang K, Zhang CF, Wang F, Liu ZK, Chen YL, Yang LX. Development of a laser-based angle-resolved-photoemission spectrometer with sub-micrometer spatial resolution and high-efficiency spin detection. Rev Sci Instrum 2023; 94:023903. [PMID: 36859063 DOI: 10.1063/5.0106351] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/28/2022] [Accepted: 01/20/2023] [Indexed: 06/18/2023]
Abstract
Angle-resolved photoemission spectroscopy with sub-micrometer spatial resolution (μ-ARPES), has become a powerful tool for studying quantum materials. To achieve sub-micrometer or even nanometer-scale spatial resolution, it is important to focus the incident light beam (usually from synchrotron radiation) using x-ray optics, such as the zone plate or ellipsoidal capillary mirrors. Recently, we developed a laser-based μ-ARPES with spin-resolution (LMS-ARPES). The 177 nm laser beam is achieved by frequency-doubling a 355 nm beam using a KBBF crystal and subsequently focused using an optical lens with a focal length of about 16 mm. By characterizing the focused spot size using different methods and performing spatial-scanning photoemission measurement, we confirm the sub-micron spatial resolution of the system. Compared with the μ-ARPES facilities based on the synchrotron radiation, our LMS-ARPES system is not only more economical and convenient, but also with higher photon flux (>5 × 1013 photons/s), thus enabling the high-resolution and high-statistics measurements. Moreover, the system is equipped with a two-dimensional spin detector based on exchange scattering at a surface-passivated iron film grown on a W(100) substrate. We investigate the spin structure of the prototype topological insulator Bi2Se3 and reveal a high spin-polarization rate, confirming its spin-momentum locking property. This lab-based LMS-ARPES will be a powerful research tool for studying the local fine electronic structures of different condensed matter systems, including topological quantum materials, mesoscopic materials and structures, and phase-separated materials.
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Affiliation(s)
- R Z Xu
- State Key Laboratory of Low Dimensional Quantum Physics, Department of Physics, Tsinghua University, Beijing 100084, China
| | - X Gu
- State Key Laboratory of Low Dimensional Quantum Physics, Department of Physics, Tsinghua University, Beijing 100084, China
| | - W X Zhao
- State Key Laboratory of Low Dimensional Quantum Physics, Department of Physics, Tsinghua University, Beijing 100084, China
| | - J S Zhou
- State Key Laboratory of Low Dimensional Quantum Physics, Department of Physics, Tsinghua University, Beijing 100084, China
| | - Q Q Zhang
- State Key Laboratory of Low Dimensional Quantum Physics, Department of Physics, Tsinghua University, Beijing 100084, China
| | - X Du
- State Key Laboratory of Low Dimensional Quantum Physics, Department of Physics, Tsinghua University, Beijing 100084, China
| | - Y D Li
- State Key Laboratory of Low Dimensional Quantum Physics, Department of Physics, Tsinghua University, Beijing 100084, China
| | - Y H Mao
- College of Advanced Interdisciplinary Studies, National University of Defense Technology, Changsha, Hunan 410073, China
| | - D Zhao
- Department of Optics and Optical Engineering, University of Science and Technology of China, Hefei, Anhui 230026, China
| | - K Huang
- Department of Optics and Optical Engineering, University of Science and Technology of China, Hefei, Anhui 230026, China
| | - C F Zhang
- College of Advanced Interdisciplinary Studies, National University of Defense Technology, Changsha, Hunan 410073, China
| | - F Wang
- ShanghaiTech Laboratory for Topological Physics, Shanghai 200031, China
| | - Z K Liu
- ShanghaiTech Laboratory for Topological Physics, Shanghai 200031, China
| | - Y L Chen
- ShanghaiTech Laboratory for Topological Physics, Shanghai 200031, China
| | - L X Yang
- State Key Laboratory of Low Dimensional Quantum Physics, Department of Physics, Tsinghua University, Beijing 100084, China
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32
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Tong Y, Liu F, Huang K, Li J, Yang X, Chen J, Liu X, Cao J, Chen S, Yu L, Zhao Y, Wu X, Zhao L, Li Y, Hu D, Huang J, Lu X, Shen C, Gu D. Changes in fasting blood glucose status and incidence of cardiovascular disease: The China-PAR project. J Diabetes 2023; 15:110-120. [PMID: 36639363 PMCID: PMC9934960 DOI: 10.1111/1753-0407.13350] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/13/2022] [Revised: 12/10/2022] [Accepted: 12/23/2022] [Indexed: 01/15/2023] Open
Abstract
BACKGROUND The effect of long-standing prediabetes or its transition on incident cardiovascular disease (CVD) is unclear. This study aimed to evaluate the association of changes in fasting blood glucose (FBG) status with the risk of developing CVD. METHODS This research included 12 145 Chinese adults aged 35-74 years and free from diabetes mellitus (DM) at baseline. Study participants were cross-classified into six categories according to glucose at the first (1998-2001) and the second visit after 8 years: normal fasting glucose (NFG; 50-99 mg/dl), impaired FBG (IFG; 100-125 mg/dl), and DM. Cox proportional hazard regression model was used to estimate the hazard ratio (HR) and 95% confidence interval (CI) for CVD associated with transition of glucose status. RESULTS During a median follow-up of 5.5 years, 373 incident CVD cases occurred. Compared with participants remaining persistent NFG, a higher risk of developing CVD was identified among those remaining persistent IFG, progressing to DM from NFG or from IFG, with the multivariate-adjusted HR (95% CI) of 1.792 (1.141, 2.816), 1.723 (1.122, 2.645) and 1.946 (1.120, 3.381), respectively. Furthermore, when stratified by glucose status at baseline, persistent IFG and progression from IFG to DM still increased CVD risk in comparison with reversion from IFG to NFG, with the multivariate-adjusted HR (95% CI) of 1.594 (1.003, 2.532) and 1.913 (1.080, 3.389). CONCLUSIONS Participants with long-standing IFG and progressing to DM had a higher risk of developing CVD. Further well-designed studies are warranted to assess the association of other phenotypes or prediabetes duration with CVD.
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Affiliation(s)
- Ye Tong
- Department of Epidemiology, Center for Global HealthSchool of Public Health, Nanjing Medical UniversityNanjingChina
- Key Laboratory of Cardiovascular Epidemiology & Department of EpidemiologyFuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
| | - Fangchao Liu
- Key Laboratory of Cardiovascular Epidemiology & Department of EpidemiologyFuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
| | - Keyong Huang
- Key Laboratory of Cardiovascular Epidemiology & Department of EpidemiologyFuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
| | - Jianxin Li
- Key Laboratory of Cardiovascular Epidemiology & Department of EpidemiologyFuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
| | - Xueli Yang
- Tianjin Key Laboratory of Environment, Nutrition and Public Health, Department of Occupational and Environmental HealthSchool of Public Health, Tianjin Medical UniversityTianjinChina
| | - Jichun Chen
- Key Laboratory of Cardiovascular Epidemiology & Department of EpidemiologyFuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
| | - Xiaoqing Liu
- Division of EpidemiologyGuangdong Provincial People's Hospital and Cardiovascular InstituteGuangzhouChina
| | - Jie Cao
- Key Laboratory of Cardiovascular Epidemiology & Department of EpidemiologyFuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
| | - Shufeng Chen
- Key Laboratory of Cardiovascular Epidemiology & Department of EpidemiologyFuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
| | - Ling Yu
- Department of CardiologyFujian Provincial HospitalFuzhouChina
| | - Yingxin Zhao
- Cardio‐Cerebrovascular Control and Research CenterInstitute of Basic Medicine, Shandong Academy of Medical SciencesJinanChina
| | - Xianping Wu
- Sichuan Center for Disease Control and PreventionChengduChina
| | - Liancheng Zhao
- Key Laboratory of Cardiovascular Epidemiology & Department of EpidemiologyFuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
| | - Ying Li
- Key Laboratory of Cardiovascular Epidemiology & Department of EpidemiologyFuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
| | - Dongsheng Hu
- Department of Epidemiology and Health StatisticsCollege of Public Health, Zhengzhou UniversityZhengzhouChina
- Department of Epidemiology and Health StatisticsSchool of Public Health, Shenzhen University Health Science CenterShenzhenChina
| | - Jianfeng Huang
- Key Laboratory of Cardiovascular Epidemiology & Department of EpidemiologyFuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
| | - Xiangfeng Lu
- Key Laboratory of Cardiovascular Epidemiology & Department of EpidemiologyFuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
| | - Chong Shen
- Department of Epidemiology, Center for Global HealthSchool of Public Health, Nanjing Medical UniversityNanjingChina
- Research Units of Cohort Study on Cardiovascular Diseases and CancersChinese Academy of Medical SciencesBeijingChina
| | - Dongfeng Gu
- Department of Epidemiology, Center for Global HealthSchool of Public Health, Nanjing Medical UniversityNanjingChina
- Key Laboratory of Cardiovascular Epidemiology & Department of EpidemiologyFuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
- School of MedicineSouthern University of Science and TechnologyShenzhenChina
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Lin Z, Chen S, Liu F, Li J, Cao J, Huang K, Liang F, Chen J, Li H, Huang J, Hu D, Shen C, Zhao Y, Liu X, Yu L, Lu X, Gu D. The association of long-term ambient fine particulate matter exposure with blood pressure among Chinese adults. Environ Pollut 2023; 316:120598. [PMID: 36343854 DOI: 10.1016/j.envpol.2022.120598] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/01/2022] [Revised: 10/31/2022] [Accepted: 11/02/2022] [Indexed: 06/16/2023]
Abstract
Previous studies indicated that long-term exposure to high level of fine particulate matter (PM2.5) was associated with elevated blood pressure (BP) and hypertension, but most of them were conducted in high-income countries with low PM2.5 level. Therefore, we aimed to evaluate the adverse impacts of long-term exposure to PM2.5 on BP and hypertension in China with high concentration. A total of 99,084 adults aged ≥18 years old were included from three cohorts among the project of Prediction for Atherosclerotic Cardiovascular Disease Risk in China. PM2.5 concentrations during 2000-2015 at 1 × 1 km spatial resolution were evaluated using satellite-based spatiotemporal models. Generalized estimating equation was applied to assess the impact of three-year average PM2.5 concentrations on BP level and hypertension. We also examined whether health status and lifestyles modified the effects of PM2.5 on BP and hypertension. Generally, high concentration of PM2.5 was associated with increased BP level and higher risk of hypertension. With each 10 μg/m3 increment in PM2.5 concentration, systolic BP (SBP) and diastolic BP (DBP) increased by 1.67 [95% confidence interval (CI): 1.48, 1.86] mmHg and 0.45 (95% CI: 0.35, 0.56) mmHg, and the prevalence of hypertension increased by 29% [odds ratio (OR): 1.29, 95% CI: 1.26, 1.32]. In comparison with the first quartile of PM2.5 concentration, SBP, DBP and prevalence of hypertension in the fourth quartile were increased by 8.26 (95% CI: 7.73, 8.80) mmHg, 2.85 (95% CI: 2.55, 3.15) mmHg, and 133% (OR: 2.33, 95% CI: 2.21, 2.47), respectively, in the fully adjusted model. However, the relationships of PM2.5 with BP might be non-linear, as BP level started to decline when PM2.5 exceeded 75 μg/m3. In conclusion, long-term PM2.5 exposure could elevate BP level and prevalence of hypertension. People living in high-polluted areas should strengthen their awareness of prevention.
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Affiliation(s)
- Zhennan Lin
- Key Laboratory of Cardiovascular Epidemiology, Department of Epidemiology, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College/National Center for Cardiovascular Diseases, Beijing, 100037, China
| | - Shufeng Chen
- Key Laboratory of Cardiovascular Epidemiology, Department of Epidemiology, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College/National Center for Cardiovascular Diseases, Beijing, 100037, China.
| | - Fangchao Liu
- Key Laboratory of Cardiovascular Epidemiology, Department of Epidemiology, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College/National Center for Cardiovascular Diseases, Beijing, 100037, China
| | - Jianxin Li
- Key Laboratory of Cardiovascular Epidemiology, Department of Epidemiology, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College/National Center for Cardiovascular Diseases, Beijing, 100037, China
| | - Jie Cao
- Key Laboratory of Cardiovascular Epidemiology, Department of Epidemiology, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College/National Center for Cardiovascular Diseases, Beijing, 100037, China
| | - Keyong Huang
- Key Laboratory of Cardiovascular Epidemiology, Department of Epidemiology, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College/National Center for Cardiovascular Diseases, Beijing, 100037, China
| | - Fengchao Liang
- School of Public Health and Emergency Management, Southern University of Science and Technology, Shenzhen, 518055, China
| | - Jichun Chen
- Key Laboratory of Cardiovascular Epidemiology, Department of Epidemiology, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College/National Center for Cardiovascular Diseases, Beijing, 100037, China
| | - Hongfan Li
- Key Laboratory of Cardiovascular Epidemiology, Department of Epidemiology, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College/National Center for Cardiovascular Diseases, Beijing, 100037, China
| | - Jianfeng Huang
- Key Laboratory of Cardiovascular Epidemiology, Department of Epidemiology, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College/National Center for Cardiovascular Diseases, Beijing, 100037, China
| | - Dongsheng Hu
- School of Public Health, Zhengzhou University, Zhengzhou, 450001, China; School of Public Health, Shenzhen University, Shenzhen, 518060, China
| | - Chong Shen
- School of Public Health, Nanjing Medical University, Nanjing, 211166, China
| | - Yingxin Zhao
- Shandong First Medical University (Shandong Academy of Medicine Sciences), Jinan, 271099, China
| | - Xiaoqing Liu
- Division of Epidemiology, Guangdong Provincial People's Hospital and Cardiovascular Institute, Guangzhou, 510080, China
| | - Ling Yu
- Department of Cardiology, Fujian Provincial Hospital, Fuzhou, 350014, China
| | - Xiangfeng Lu
- Key Laboratory of Cardiovascular Epidemiology, Department of Epidemiology, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College/National Center for Cardiovascular Diseases, Beijing, 100037, China
| | - Dongfeng Gu
- Key Laboratory of Cardiovascular Epidemiology, Department of Epidemiology, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College/National Center for Cardiovascular Diseases, Beijing, 100037, China
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Bourgeat P, Krishnadas N, Doré V, Mulligan R, Tyrrell R, Bozinovski S, Huang K, Fripp J, Villemagne VL, Rowe CC. Cross-Sectional and Longitudinal Comparison of Tau Imaging with 18F-MK6240 and 18F-Flortaucipir in Populations Matched for Age, MMSE and Brain Beta-Amyloid Burden. J Prev Alzheimers Dis 2023; 10:251-258. [PMID: 36946452 DOI: 10.14283/jpad.2023.17] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/22/2023]
Abstract
OBJECTIVES Longitudinal tau quantification may provide a useful marker of drug efficacy in clinical trials. Different tau PET tracers may have different sensitivity to longitudinal changes, but without a head-to-head dataset or a carefully designed case-matching procedure, comparing results in different cohorts can be biased. In this study, we compared the tau PET tracers, 18F-MK6240 and 18F-flortaucipir (FTP), both cross-sectionally and longitudinally by case-matching subjects in the AIBL and ADNI longitudinal cohort studies. METHODS A subset of 113 participants from AIBL and 113 from ADNI imaged using 18F-MK6240 and 18F-FTP respectively, with baseline and follow-up, were matched based on baseline clinical diagnosis, MMSE, age and amyloid (Aβ) PET centiloid value. Subjects were grouped as 64 Aβ- cognitively unimpaired (CU), 22 Aβ+ CU, 14 Aβ+ mild cognitive impairment (MCI) and 13 Aβ+ Alzheimer's disease (AD). Tracer retention was measured in the mesial, temporoparietal, rest of the cortex, and a meta-temporal region composed of entorhinal, inferior/middle temporal, fusiform, parahippocampus and amygdala. T-tests were employed to assess group separation at baseline using SUVR Z-scores and longitudinally using SUVR%/Yr. RESULTS Both tracers detected statistically significant differences at baseline in most regions between all clinical groups. Only 18F-MK6240 showed statistically significant higher rate of SUVR increase in Aβ+ CU compared to Aβ- CU in the mesial, meta-temporal and temporoparietal regions. CONCLUSION 18F-MK6240 appears to be a more sensitive tracer for change in tau level at the preclinical stage of AD.
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Affiliation(s)
- P Bourgeat
- Pierrick Bourgeat, The Australian e-Health Research Centre, CSIRO, Level 7, 296 Herston Road, Herston Qld 4029, Australia, Tel: 07 3253 3659,
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Feizpour A, Doré V, Doecke JD, Saad ZS, Triana-Baltzer G, Slemmon R, Maruff P, Krishnadas N, Bourgeat P, Huang K, Fowler C, Rainey-Smith SR, Bush AI, Ward L, Robertson J, Martins RN, Masters CL, Villemagne VL, Fripp J, Kolb HC, Rowe CC. Two-Year Prognostic Utility of Plasma p217+tau across the Alzheimer's Continuum. J Prev Alzheimers Dis 2023; 10:828-836. [PMID: 37874105 DOI: 10.14283/jpad.2023.83] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2023]
Abstract
BACKGROUND Plasma p217+tau has shown high concordance with cerebrospinal fluid (CSF) and positron emission tomography (PET) measures of amyloid-β (Aβ) and tau in Alzheimer's Disease (AD). However, its association with longitudinal cognition and comparative performance to PET Aβ and tau in predicting cognitive decline are unknown. OBJECTIVES To evaluate whether p217+tau can predict the rate of cognitive decline observed over two-year average follow-up and compare this to prediction based on Aβ (18F-NAV4694) and tau (18F-MK6240) PET. We also explored the sample size required to detect a 30% slowing in cognitive decline in a 2-year trial and selection test cost using p217+tau (pT+) as compared to PET Aβ (A+) and tau (T+) with and without p217+tau pre-screening. DESIGN A prospective observational cohort study. SETTING Participants of the Australian Imaging, Biomarker and Lifestyle Flagship Study of Ageing (AIBL) and Australian Dementia Network (ADNeT). PARTICIPANTS 153 cognitively unimpaired (CU) and 50 cognitively impaired (CI) individuals. MEASUREMENTS Baseline p217+tau Simoa® assay, 18F-MK6240 tau-PET and 18F-NAV4694 Aβ-PET with neuropsychological follow-up (MMSE, CDR-SB, AIBL-PACC) over 2.4 ± 0.8 years. RESULTS In CI, p217+tau was a significant predictor of change in MMSE (β = -0.55, p < 0.001) and CDR-SB (β =0.61, p < 0.001) with an effect size similar to Aβ Centiloid (MMSE β = -0.48, p = 0.002; CDR-SB β = 0.43, p = 0.004) and meta-temporal (MetaT) tau SUVR (MMSE: β = -0.62, p < 0.001; CDR-SB: β = 0.65, p < 0.001). In CU, only MetaT tau SUVR was significantly associated with change in AIBL-PACC (β = -0.22, p = 0.008). Screening pT+ CI participants into a trial could lead to 24% reduction in sample size compared to screening with PET for A+ and 6-13% compared to screening with PET for T+ (different regions). This would translate to an 81-83% biomarker test cost-saving assuming the p217+tau test cost one-fifth of a PET scan. In a trial requiring PET A+ or T+, p217+tau pre-screening followed by PET in those who were pT+ would cost more in the CI group, compared to 26-38% biomarker test cost-saving in the CU. CONCLUSIONS Substantial cost reduction can be achieved using p217+tau alone to select participants with MCI or mild dementia for a clinical trial designed to slow cognitive decline over two years, compared to participant selection by PET. In pre-clinical AD trials, p217+tau provides significant cost-saving if used as a pre-screening measure for PET A+ or T+ but in MCI/mild dementia trials this may add to cost both in testing and in the increased number of participants needed for testing.
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Affiliation(s)
- A Feizpour
- Professor Christopher C Rowe, Department of Molecular Imaging and Therapy, Austin Health, 145 Studley Road, Heidelberg, VIC. 3084, Australia. Telephone: +61-3-9496 3321. Fax +61-3-9458 5023.
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Li J, Liang F, Liu F, Li J, Huang K, Yang X, Chen S, Cao J, Shen C, Zhao L, Li Y, Hu D, Wang W, Wu J, Huang J, Lu X, Gu D. Genetic risk modifies the effect of long-term fine particulate matter exposure on coronary artery disease. Environ Int 2022; 170:107624. [PMID: 36402033 DOI: 10.1016/j.envint.2022.107624] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/03/2022] [Revised: 10/25/2022] [Accepted: 11/09/2022] [Indexed: 06/16/2023]
Abstract
BACKGROUND Although both environmental and genetic factors were linked to coronary artery disease (CAD), the extent to which the association of air pollution exposure with CAD can be influenced by genetic risk was not well understood. METHODS A total of 41,149 participants recruited from the project of Prediction for Atherosclerotic Cardiovascular Disease Risk in China (China-PAR) were included. Genetic risk scores of CAD were constructed based on 540 genetic variants. Long-term PM2.5 exposures were assessed by adopting satellite-based PM2.5 estimations at 1-km resolution. We used stratified Cox proportional hazards regression model to examine the impact of PM2.5 exposure and genetic risk on CAD risk, and further analyzed modification effect of genetic predisposition on association between PM2.5 exposure and CAD risk. RESULTS During a median of 13.01 years of follow-up, 1,373 incident CAD events were observed. Long-term PM2.5 exposure significantly increased CAD risk, and the hazard ratios (HRs) [95% confidence intervals (CIs)] were 1.27 (1.05-1.54) and 1.95 (1.57-2.42) among intermediate and high PM2.5 exposure groups compared to low PM2.5 exposure group. The relative risks of CAD were 40% (HR: 1.40, 95%CI: 1.18-1.66) and 133% (HR: 2.33, 95%CI: 1.94-2.79) higher among individuals at intermediate and high genetic risk than those at low genetic risk. Compared with individuals with both low genetic risk and low PM2.5 exposure, those with high genetic risk and high PM2.5 exposure had highest CAD risk, with HR of 4.37 (95%CI: 3.13-6.11). We observed significant multiplicative (P < 0.001) and additive interaction [relative excess risk due to interaction (95%CI): 2.75 (1.32-4.20); attributable proportion due to interaction (95%CI): 0.56 (0.42-0.70)] between genetic risk and PM2.5 exposure on CAD. CONCLUSION This study provided evidence that long-term PM2.5 exposure might increase CAD risk, especially among people at high genetic risk. Our findings highlighted the importance of taking strategies on air quality improvement to cardiovascular disease prevention.
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Affiliation(s)
- Jinyue Li
- Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China; National Clinical Research Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Epidemiology, Chinese Academy of Medical Sciences, Beijing 100037, China
| | - Fengchao Liang
- School of Public Health and Emergency Management, Southern University of Science and Technology, Shenzhen 518055, China
| | - Fangchao Liu
- Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China; National Clinical Research Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Epidemiology, Chinese Academy of Medical Sciences, Beijing 100037, China
| | - Jianxin Li
- Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China; National Clinical Research Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Epidemiology, Chinese Academy of Medical Sciences, Beijing 100037, China
| | - Keyong Huang
- Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China; National Clinical Research Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Epidemiology, Chinese Academy of Medical Sciences, Beijing 100037, China
| | - Xueli Yang
- Tianjin Key Laboratory of Environment, Nutrition and Public Health, Department of Occupational and Environmental Health, School of Public Health, Tianjin Medical University, Tianjin 300203, China
| | - Shufeng Chen
- Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China; National Clinical Research Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Epidemiology, Chinese Academy of Medical Sciences, Beijing 100037, China
| | - Jie Cao
- Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China; National Clinical Research Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Epidemiology, Chinese Academy of Medical Sciences, Beijing 100037, China
| | - Chong Shen
- Department of Epidemiology and Biostatistics, School of Public Health, Nanjing Medical University, Nanjing 211166, China
| | - Liancheng Zhao
- Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China; National Clinical Research Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Epidemiology, Chinese Academy of Medical Sciences, Beijing 100037, China
| | - Ying Li
- Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China; National Clinical Research Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Epidemiology, Chinese Academy of Medical Sciences, Beijing 100037, China
| | - Dongsheng Hu
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou 450001, China; Department of Biostatistics and Epidemiology, School of Public Health, Shenzhen University Health Science Center, Shenzhen 518071, China
| | - Wending Wang
- State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China; College of Earth and Planetary Sciences, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Jianbin Wu
- State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China
| | - Jianfeng Huang
- Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China; National Clinical Research Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Epidemiology, Chinese Academy of Medical Sciences, Beijing 100037, China
| | - Xiangfeng Lu
- Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China; National Clinical Research Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Epidemiology, Chinese Academy of Medical Sciences, Beijing 100037, China.
| | - Dongfeng Gu
- Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China; National Clinical Research Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Epidemiology, Chinese Academy of Medical Sciences, Beijing 100037, China; School of Medicine, Southern University of Science and Technology, Shenzhen 518055, China.
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Wang J, Li J, Liu F, Huang K, Yang X, Liu X, Cao J, Chen S, Shen C, Yu L, Lu F, Zhao L, Li Y, Hu D, Huang J, Gu D, Lu X. Genetic Predisposition, Fruit Intake and Incident Stroke: A Prospective Chinese Cohort Study. Nutrients 2022; 14:nu14235056. [PMID: 36501087 PMCID: PMC9740837 DOI: 10.3390/nu14235056] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2022] [Revised: 11/23/2022] [Accepted: 11/24/2022] [Indexed: 11/29/2022] Open
Abstract
The aim of this study was to evaluate the association between fruit intake and stroke risk considering the genetic predisposition. We used data from 34,871 participants from the project of Prediction for Atherosclerotic Cardiovascular Disease Risk in China (China-PAR project) from 2007 to 2020. A polygenic risk score comprising 534 genetic variants associated with stroke and its related factors was constructed to categorize individuals into low, intermediate, and high genetic risk groups. The associations of genetic and fruit intake with incident stroke were assessed by the Cox proportional hazard regression. We documented 2586 incident strokes during a median follow-up of 11.2 years. Compared with fruit intake < 200 g/week, similar relative risk reductions in stroke with adherence to fruit intake > 100 g/day across the genetic risk categories were observed (28−32%), but the absolute risk reductions were relatively larger in the highest genetic risk group (p for trend = 0.03). In comparison to those with a fruit intake < 200 g/week, those with a fruit intake >100 g/day in the low, intermediate, and high genetic risk groups had an average of 1.45 (95% CI, 0.61−2.31), 2.12 (1.63−2.59), and 2.19 (1.13−3.22) additional stroke-free years at aged 35, respectively. Our findings suggest that individuals with a high genetic risk could gain more absolute risk reductions and stroke-free years than those with a low genetic risk from increasing fruit intake for the stroke primary prevention.
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Affiliation(s)
- Jun Wang
- Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China
- Key Laboratory of Cardiovascular Epidemiology, Chinese Academy of Medical Sciences, Beijing 100037, China
- National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Jianxin Li
- Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China
- Key Laboratory of Cardiovascular Epidemiology, Chinese Academy of Medical Sciences, Beijing 100037, China
| | - Fangchao Liu
- Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China
| | - Keyong Huang
- Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China
| | - Xueli Yang
- Tianjin Key Laboratory of Environment, Nutrition and Public Health, Department of Occupational and Environmental Health, School of Public Health, Tianjin Medical University, Tianjin 300070, China
| | - Xiaoqing Liu
- Division of Epidemiology, Guangdong Provincial People’s Hospital and Cardiovascular Institute, Guangzhou 510080, China
| | - Jie Cao
- Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China
| | - Shufeng Chen
- Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China
| | - Chong Shen
- Department of Epidemiology and Biostatistics, School of Public Health, Nanjing Medical University, Nanjing 211166, China
| | - Ling Yu
- Department of Cardiology, Fujian Provincial Hospital, Fuzhou 350014, China
| | - Fanghong Lu
- Cardio-Cerebrovascular Control and Research Center, Institute of Basic Medicine, Shandong Academy of Medical Sciences, Jinan 250062, China
| | - Liancheng Zhao
- Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China
| | - Ying Li
- Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China
| | - Dongsheng Hu
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou 450001, China
- Department of Biostatistics and Epidemiology, School of Public Health, Shenzhen University Health Science Center, Shenzhen 518071, China
| | - Jianfeng Huang
- Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China
| | - Dongfeng Gu
- Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China
- Key Laboratory of Cardiovascular Epidemiology, Chinese Academy of Medical Sciences, Beijing 100037, China
- School of Medicine, Southern University of Science and Technology, Shenzhen 518055, China
| | - Xiangfeng Lu
- Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China
- Key Laboratory of Cardiovascular Epidemiology, Chinese Academy of Medical Sciences, Beijing 100037, China
- Correspondence: ; Tel./Fax: +86-10-60866599
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Liu Q, Huang K, Liang F, Yang X, Li J, Chen J, Liu X, Cao J, Shen C, Yu L, Zhao Y, Deng Y, Li Y, Hu D, Lu X, Liu Y, Gu D, Liu F, Huang J. Long-term exposure to fine particulate matter modifies the association between physical activity and hypertension incidence. J Sport Health Sci 2022; 11:708-715. [PMID: 35065296 PMCID: PMC9729921 DOI: 10.1016/j.jshs.2022.01.004] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/22/2021] [Revised: 11/25/2021] [Accepted: 12/17/2021] [Indexed: 05/30/2023]
Abstract
BACKGROUND The trade-off between the benefits of regular physical activity (PA) and the potentially detrimental effects of augmented exposure to air pollution in highly polluted regions remains unclear. This study aimed to examine whether ambient fine particulate matter (PM2.5) exposure modified the impacts of PA volume and intensity on hypertension risk. METHODS We included 54,797 participants without hypertension at baseline in a nationwide cohort of the Prediction for Atherosclerotic Cardiovascular Disease Risk in China (China-PAR) project. PA volume and intensity were assessed by questionnaire, and high-resolution (1 km ×1 km) PM2.5 estimates were generated using a satellite-based model. RESULTS During 413,516 person-years of follow-up, 12,100 incident hypertension cases were identified. PM2.5 significantly modified the relationship between PA and hypertension incidence (pinteraction < 0.001). Increased PA volume was negatively associated with incident hypertension in the low PM2.5 stratum (<59.8 μg/m3, ptrend < 0.001), with a hazard ratio of 0.81 (95% confidence interval (95%CI): 0.74-0.88) when comparing the fourth with the first quartile of PA volume. However, the health benefits were not observed in the high PM2.5 stratum (≥59.8 μg/m3, ptrend = 0.370). Moreover, compared with light PA intensity, vigorous intensity was related to a 20% (95%CI: 9%-29%) decreased risk of hypertension for participants exposed to low PM2.5, but a 17% (95%CI: 4%-33%) increased risk for those with high PM2.5 levels. CONCLUSION PA was associated with a reduced risk of hypertension only among participants with low PM2.5 exposure. Our findings recommended regular PA to prevent hypertension in less polluted regions and reinforced the importance of air quality improvement.
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Affiliation(s)
- Qiong Liu
- Department of Epidemiology, National Center for Cardiovascular Diseases, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China; Key Laboratory of Cardiovascular Epidemiology, Chinese Academy of Medical Sciences, Beijing 100037, China
| | - Keyong Huang
- Department of Epidemiology, National Center for Cardiovascular Diseases, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China
| | - Fengchao Liang
- Department of Epidemiology, National Center for Cardiovascular Diseases, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China; School of Public Health and Emergency Management, Southern University of Science and Technology, Shenzhen 518055, China
| | - Xueli Yang
- Tianjin Key Laboratory of Environment, Nutrition and Public Health, Department of Occupational and Environmental Health, School of Public Health, Tianjin Medical University, Tianjin 300070, China
| | - Jianxin Li
- Department of Epidemiology, National Center for Cardiovascular Diseases, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China
| | - Jichun Chen
- Department of Epidemiology, National Center for Cardiovascular Diseases, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China
| | - Xiaoqing Liu
- Division of Epidemiology, Guangdong Provincial People's Hospital and Cardiovascular Institute, Guangzhou 510080, China
| | - Jie Cao
- Department of Epidemiology, National Center for Cardiovascular Diseases, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China
| | - Chong Shen
- Department of Epidemiology and Biostatistics, School of Public Health, Nanjing Medical University, Nanjing 211166, China
| | - Ling Yu
- Department of Cardiology, Fujian Provincial Hospital, Fuzhou 350014, China
| | - Yingxin Zhao
- Cardio-Cerebrovascular Control and Research Center, Institute of Basic Medicine, Shandong Academy of Medical Sciences, Jinan 250062, China
| | - Ying Deng
- Center for Chronic and Noncommunicable Disease Control and Prevention, Sichuan Center for Disease Control and Prevention, Chengdu 610041, China
| | - Ying Li
- Department of Epidemiology, National Center for Cardiovascular Diseases, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China
| | - Dongsheng Hu
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou 450001, China; Department of Biostatistics and Epidemiology, School of Public Health, Shenzhen University Health Science Center, Shenzhen 518071, China
| | - Xiangfeng Lu
- Department of Epidemiology, National Center for Cardiovascular Diseases, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China
| | - Yang Liu
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA 30322, USA
| | - Dongfeng Gu
- Department of Epidemiology, National Center for Cardiovascular Diseases, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China; Key Laboratory of Cardiovascular Epidemiology, Chinese Academy of Medical Sciences, Beijing 100037, China; School of Medicine, Southern University of Science and Technology, Shenzhen 518055, China
| | - Fangchao Liu
- Department of Epidemiology, National Center for Cardiovascular Diseases, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China.
| | - Jianfeng Huang
- Department of Epidemiology, National Center for Cardiovascular Diseases, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China.
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Karpel H, Zaslavsky J, Algarroba G, Shah V, Huang K. 8117 OB/GYN Clinician Training in Addressing Sexual Trauma. J Minim Invasive Gynecol 2022. [DOI: 10.1016/j.jmig.2022.09.369] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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40
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Karpel H, Zaslavsky J, Shah V, Huang K. 7737 Assessment of Interoperative Transverse Abdominis Plane (TAP) Block in Minimally Invasive Gynecologic Surgery. J Minim Invasive Gynecol 2022. [DOI: 10.1016/j.jmig.2022.09.329] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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41
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Yang HF, He KY, Koo J, Shen SW, Zhang SH, Liu G, Liu YZ, Chen C, Liang AJ, Huang K, Wang MX, Gao JJ, Luo X, Yang LX, Liu JP, Sun YP, Yan SC, Yan BH, Chen YL, Xi X, Liu ZK. Visualization of Chiral Electronic Structure and Anomalous Optical Response in a Material with Chiral Charge Density Waves. Phys Rev Lett 2022; 129:156401. [PMID: 36269973 DOI: 10.1103/physrevlett.129.156401] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/16/2022] [Accepted: 09/07/2022] [Indexed: 05/02/2023]
Abstract
Chiral materials have attracted significant research interests as they exhibit intriguing physical properties, such as chiral optical response, spin-momentum locking, and chiral induced spin selectivity. Recently, layered transition metal dichalcogenide 1T-TaS_{2} has been found to host a chiral charge density wave (CDW) order. Nevertheless, the physical consequences of the chiral order, for example, in electronic structures and the optical properties, are yet to be explored. Here, we report the spectroscopic visualization of an emergent chiral electronic band structure in the CDW phase, characterized by windmill-shaped Fermi surfaces. We uncover a remarkable chirality-dependent circularly polarized Raman response due to the salient in-plane chiral symmetry of CDW, although the ordinary circular dichroism vanishes. Chiral Fermi surfaces and anomalous Raman responses coincide with the CDW transition, proving their lattice origin. Our Letter paves a path to manipulate the chiral electronic and optical properties in two-dimensional materials and explore applications in polarization optics and spintronics.
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Affiliation(s)
- H F Yang
- School of Physical Science and Technology, ShanghaiTech University, Shanghai 201210, People's Republic of China
| | - K Y He
- National Laboratory of Solid State Microstructures and Department of Physics, Nanjing University, Nanjing 210093, People's Republic of China
| | - J Koo
- Department of Condensed Matter Physics, Weizmann Institute of Science, Rehovot 76100, Israel
| | - S W Shen
- School of Physical Science and Technology, ShanghaiTech University, Shanghai 201210, People's Republic of China
| | - S H Zhang
- School of Physical Science and Technology, ShanghaiTech University, Shanghai 201210, People's Republic of China
| | - G Liu
- National Laboratory of Solid State Microstructures and Department of Physics, Nanjing University, Nanjing 210093, People's Republic of China
| | - Y Z Liu
- Department of Condensed Matter Physics, Weizmann Institute of Science, Rehovot 76100, Israel
| | - C Chen
- School of Physical Science and Technology, ShanghaiTech University, Shanghai 201210, People's Republic of China
- Department of Physics, University of Oxford, Oxford, OX1 3PU, United Kingdom
| | - A J Liang
- School of Physical Science and Technology, ShanghaiTech University, Shanghai 201210, People's Republic of China
- ShanghaiTech Laboratory for Topological Physics, Shanghai 201210, People's Republic of China
| | - K Huang
- School of Physical Science and Technology, ShanghaiTech University, Shanghai 201210, People's Republic of China
| | - M X Wang
- School of Physical Science and Technology, ShanghaiTech University, Shanghai 201210, People's Republic of China
- ShanghaiTech Laboratory for Topological Physics, Shanghai 201210, People's Republic of China
| | - J J Gao
- Key Laboratory of Materials Physics, Institute of Solid State Physics, Chinese Academy of Sciences, HFIPS, Hefei 230031, People's Republic of China
| | - X Luo
- Key Laboratory of Materials Physics, Institute of Solid State Physics, Chinese Academy of Sciences, HFIPS, Hefei 230031, People's Republic of China
| | - L X Yang
- State Key Laboratory of Low Dimensional Quantum Physics and Department of Physics, Tsinghua University, Beijing 100084, People's Republic of China
| | - J P Liu
- School of Physical Science and Technology, ShanghaiTech University, Shanghai 201210, People's Republic of China
- ShanghaiTech Laboratory for Topological Physics, Shanghai 201210, People's Republic of China
| | - Y P Sun
- Key Laboratory of Materials Physics, Institute of Solid State Physics, Chinese Academy of Sciences, HFIPS, Hefei 230031, People's Republic of China
- High Magnetic Field Laboratory, Chinese Academy of Sciences, HFIPS, Hefei, 230031, People's Republic of China
- Collaborative Innovation Center of Advanced Microstructures, Nanjing University, Nanjing 210093, People's Republic of China
| | - S C Yan
- School of Physical Science and Technology, ShanghaiTech University, Shanghai 201210, People's Republic of China
- ShanghaiTech Laboratory for Topological Physics, Shanghai 201210, People's Republic of China
| | - B H Yan
- Department of Condensed Matter Physics, Weizmann Institute of Science, Rehovot 76100, Israel
| | - Y L Chen
- School of Physical Science and Technology, ShanghaiTech University, Shanghai 201210, People's Republic of China
- Department of Physics, University of Oxford, Oxford, OX1 3PU, United Kingdom
- ShanghaiTech Laboratory for Topological Physics, Shanghai 201210, People's Republic of China
- State Key Laboratory of Low Dimensional Quantum Physics and Department of Physics, Tsinghua University, Beijing 100084, People's Republic of China
| | - X Xi
- National Laboratory of Solid State Microstructures and Department of Physics, Nanjing University, Nanjing 210093, People's Republic of China
- Collaborative Innovation Center of Advanced Microstructures, Nanjing University, Nanjing 210093, People's Republic of China
| | - Z K Liu
- School of Physical Science and Technology, ShanghaiTech University, Shanghai 201210, People's Republic of China
- ShanghaiTech Laboratory for Topological Physics, Shanghai 201210, People's Republic of China
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Hu C, Huang C, Li J, Liu F, Huang K, Liu Z, Yang X, Liu X, Cao J, Chen S, Li H, Shen C, Yu L, Wu X, Li Y, Hu D, Huang J, Lu X, Gu D. Causal associations of alcohol consumption with cardiovascular diseases and all-cause mortality among Chinese males. Am J Clin Nutr 2022; 116:771-779. [PMID: 35687413 DOI: 10.1093/ajcn/nqac159] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2022] [Accepted: 06/06/2022] [Indexed: 01/16/2023] Open
Abstract
BACKGROUND The causal effects of moderate alcohol consumption on cardiovascular diseases (CVDs) are continuously debated, especially on coronary artery disease (CAD). OBJECTIVES We aimed to explore the causal associations of alcohol consumption with CVDs and all-cause mortality among Chinese males. METHODS A prospective cohort study was conducted in 40,386 Chinese males, with 17,676 being genotyped for the rs671 variant in the aldehyde dehydrogenase 2 (ALDH2) gene. A Cox proportional hazards model was conducted to estimate the effects of self-reported alcohol consumption. Mendelian randomization (MR) analysis was performed to explore the causality using rs671 as an instrumental variable. RESULTS During the follow-up of 303,353 person-years, 2406 incident CVDs and 3195 all-cause mortalities were identified. J-shaped associations of self-reported alcohol consumption with incident CVD and all-cause mortality were observed, showing decreased risks for light (≤25 g/d) and moderate drinkers (25-≤60 g/d). However, MR analyses revealed a linear association of genetically predicted alcohol consumption with the incident CVD (P-trend = 0.02), including both CAD (P-trend = 0.03) and stroke (P-trend = 0.02). The HRs (95% CIs) for incident CVD across increasing tertiles of genetically predicted alcohol consumption were 1 (reference), 1.18 (1.01, 1.38), and 1.22 (1.03, 1.46). After excluding heavy drinkers, the risk of incident CVD and all-cause mortality was increased by 27% and 20% per standard drink increment of genetically predicted alcohol consumption, respectively. CONCLUSIONS Our analyses extend the evidence of the harmful effect of alcohol consumption to total CVD (including CAD) and all-cause mortality, highlighting the potential health benefits of lowering alcohol consumption, even among light-to-moderate male drinkers.
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Affiliation(s)
- Chunyu Hu
- Key Laboratory of Cardiovascular Epidemiology & Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Chunyan Huang
- Department of Chronic Disease Prevention and Control, Suzhou Center for Disease Control and Prevention, Suzhou, China
| | - Jianxin Li
- Key Laboratory of Cardiovascular Epidemiology & Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Fangchao Liu
- Key Laboratory of Cardiovascular Epidemiology & Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Keyong Huang
- Key Laboratory of Cardiovascular Epidemiology & Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Zhongying Liu
- Key Laboratory of Cardiovascular Epidemiology & Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Xueli Yang
- Tianjin Key Laboratory of Environment, Nutrition, and Public Health, Department of Occupational and Environmental Health, School of Public Health, Tianjin Medical University, Tianjin, China
| | - Xiaoqing Liu
- Division of Epidemiology, Guangdong Provincial People's Hospital and Cardiovascular Institute, Guangzhou, China
| | - Jie Cao
- Key Laboratory of Cardiovascular Epidemiology & Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Shufeng Chen
- Key Laboratory of Cardiovascular Epidemiology & Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Hongfan Li
- Key Laboratory of Cardiovascular Epidemiology & Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Chong Shen
- Department of Epidemiology and Biostatistics, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Ling Yu
- Department of Cardiology, Fujian Provincial Hospital, Fuzhou, China
| | - Xigui Wu
- Key Laboratory of Cardiovascular Epidemiology & Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Ying Li
- Key Laboratory of Cardiovascular Epidemiology & Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Dongsheng Hu
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, China.,Department of Biostatistics and Epidemiology, School of Public Health, Shenzhen University Health Science Center, Shenzhen, China
| | - Jianfeng Huang
- Key Laboratory of Cardiovascular Epidemiology & Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Xiangfeng Lu
- Key Laboratory of Cardiovascular Epidemiology & Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Dongfeng Gu
- Key Laboratory of Cardiovascular Epidemiology & Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.,School of Medicine, Southern University of Science and Technology, Shenzhen, China
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Zhao X, Tang X, Xu J, Liu R, Huang K, Li J, Li Y, Jiang L, Xu L, Zhang Y, Wang D, Hui R, Gao R, Song L, Yuan J. Novel polymorphism of HMGCR gene related to the risk of diabetes in premature triple-vessel disease patients. J Gene Med 2022; 24:e3445. [PMID: 35998373 DOI: 10.1002/jgm.3445] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2022] [Revised: 08/03/2022] [Accepted: 08/12/2022] [Indexed: 11/07/2022] Open
Abstract
BACKGROUND Coronary heart disease and diabetes are highly interrelated and complex diseases. We proposed to investigate the association of genetic polymorphisms of the lipoprotein important regulatory genes Niemann-Pick C1-like 1 (NPC1L1) and 3-hydroxy-3-methylglutaryl-coenzyme A reductase (HMGCR) in patients with premature triple-vessel coronary disease (PTVD) with diabetes, blood glucose and body mass index (BMI). METHODS Four single-nucleotide polymorphisms (SNPs) (rs11763759, rs4720470, rs2072183, rs2073547) of NPC1L1, and three SNPs (rs12916, rs2303151, rs4629571) of HMGCR were genotyped in 872 PTVD patients. RESULTS After performing logistic regression analysis adjusted for age and sex, rs2303151 of HMGCR was related to the risk of diabetes in dominance model (odds ratio [OR]=1.35, 95% confidence intervals [CI]: 1.01-1.80, P=0.04). However, the four SNPs of NPC1L1 were not associated with the risk of diabetes. Further analyses showed that neither the above SNPs of NPC1L1 nor the SNPs of HMGCR were related to blood glucose and body mass index (all P>0.05). CONCLUSION We firstly report that rs2303151 is a novel polymorphism of HMGCR gene related to the risk of diabetes in PTVD patients, which suggests HMGCR may be a potential common targeted pathogenic pathways between the coronary heart disease and diabetes.
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Affiliation(s)
- Xueyan Zhao
- State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Xiaofang Tang
- State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Jingjing Xu
- State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Ru Liu
- State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Keyong Huang
- State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Jiawen Li
- State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Yulong Li
- State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Lin Jiang
- State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Lianjun Xu
- State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Yin Zhang
- State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Dong Wang
- State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Rutai Hui
- State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Runlin Gao
- State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Lei Song
- State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Jinqing Yuan
- State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
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Zhang L, Miao S, Yang Z, Li Z, Fan Y, Yu K, Huang K, Huang Q, Xia X. [Suppression of HMGB1 inhibits neuronal autophagy and apoptosis to improve neurological deficits in rats following intracerebral hemorrhage]. Nan Fang Yi Ke Da Xue Xue Bao 2022; 42:1050-1056. [PMID: 35869769 DOI: 10.12122/j.issn.1673-4254.2022.07.13] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
Abstract
OBJECTIVE To investigate the effect of suppressing high-mobility group box 1 (HMGB1) on neuronal autophagy and apoptosis in rats after intracerebral hemorrhage (ICH) in rats. METHODS Rat models of ICH induced by intracerebral striatum injection of 0.2 U/mL collagenase Ⅳ were treated with 1 mg/kg anti-HMGB1 mAb or a control anti-IgG mAb injected via the tail immediately and at 6 h after the operation (n=5). The rats in the sham-operated group (with intracranial injection of 2 μL normal saline) and ICH model group (n=5) were treated with PBS in the same manner after the operation. The neurological deficits of the rats were evaluated using modified neurological severity score (mNSS). TUNEL staining was used to detect apoptosis of the striatal neurons, and the expressions of HMGB1, autophagy-related proteins (Beclin-1, LC3-Ⅱ and LC3-Ⅰ) and apoptosis-related proteins (Bcl-2, Bax and cleaved caspase-3) in the brain tissues surrounding the hematoma were detected using Western blotting. The expression of HMGB1 in the striatum was detected by immunohistochemistry, and serum level of HMGB1 was detected with ELISA. RESULTS The rat models of ICH showed significantly increased mNSS (P < 0.05), which was markedly lowered after treatment with anti- HMGB1 mAb (P < 0.05). ICH caused a significant increase of apoptosis of the striatal neurons (P < 0.05), enhanced the expressions of beclin-1, LC3-Ⅱ, Bax and cleaved caspase-3 (P < 0.05), lowered the expressions of LC3-Ⅰ and Bcl-2 (P < 0.05), and increased the content of HMGB1 (P < 0.05). Treatment with anti-HMGB1 mAb obviously lowered the apoptosis rate of the striatal neurons (P < 0.05), decreased the expressions of Beclin-1, LC3-Ⅱ, Bax and cleaved caspase-3 (P < 0.05), increased the expressions of LC3-Ⅰ and Bcl-2 (P < 0.05), and reduced the content of HMGB1 in ICH rats (P < 0.05). CONCLUSION Down- regulation of HMGB1 by anti-HMGB1 improves neurological functions of rats after ICH possibly by inhibiting autophagy and apoptosis of the neurons.
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Affiliation(s)
- L Zhang
- Collaborative Innovation Center of Sichuan for Elderly Care and Health, Chengdu Medical College, Chengdu 610500, China.,Department of Neurosurgery, First Affiliated Hospital of Chengdu Medical College, Chengdu 610500, China
| | - S Miao
- Department of Neurosurgery, First Affiliated Hospital of Chengdu Medical College, Chengdu 610500, China
| | - Z Yang
- Department of Neurosurgery, First Affiliated Hospital of Chengdu Medical College, Chengdu 610500, China
| | - Z Li
- Department of Neurosurgery, First Affiliated Hospital of Chengdu Medical College, Chengdu 610500, China
| | - Y Fan
- Department of Neurosurgery, First Affiliated Hospital of Chengdu Medical College, Chengdu 610500, China
| | - K Yu
- Department of Neurosurgery, First Affiliated Hospital of Chengdu Medical College, Chengdu 610500, China
| | - K Huang
- Department of Neurosurgery, First Affiliated Hospital of Chengdu Medical College, Chengdu 610500, China
| | - Q Huang
- Department of Information, First Affiliated Hospital of Chengdu Medical College, Chengdu 610500, China
| | - X Xia
- Department of Neurosurgery, First Affiliated Hospital of Chengdu Medical College, Chengdu 610500, China
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Wang YQ, Huang K, Pan J, Jia CB, Xu KF, Hu DJ, Yang T, Wang C. [Advance the construction of "health promotion, prevention, diagnosis, control, treatment, rehabilitation" six-in-one working system of chronic obstructive pulmonary disease in China]. Zhonghua Yi Xue Za Zhi 2022; 102:1635-1640. [PMID: 35692015 DOI: 10.3760/cma.j.cn112137-20220117-00113] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
Chronic obstructive pulmonary disease (COPD) is a common chronic respiratory disease that seriously threatens people's health. It significantly affects the quality of life of patients and presents an overwhelming economic burden on the governmental perspectives, which makes COPD a major public health issue in China. In this paper, we propose some methods that can help to accelerate the implementation of the Healthy China Strategy and promote the change of people's attitudes towards COPD from disease-centered to health-centered. Those methods are composed of many important aspects including the concepts of"population medicine", the improvement of the national health policy for COPD, the consolidation of the original troika strategy of respiratory disciplines and the high-quality implementation of the three major national projects, aiming to inspire people to participate in the six-in-one work system of dealing with COPD encompassing the health promotion, the prevention, the diagnosis, the control, the treatment, and the rehabilitation.
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Affiliation(s)
- Y Q Wang
- School of Management, Beijing University of Chinese Medicine, Beijing 100029, China
| | - K Huang
- Department of Pulmonary and Critical Care Medicine, Center of Respiratory Medicine, China-Japan Friendship Hospital/National Center for Respiratory Medicine/Institute of Respiratory Medicine, Chinese Academy of Medical Sciences/National Clinical Research Center for Respiratory Diseases, Beijing 100029, China
| | - J Pan
- General Office, China-Japan Friendship Hospital, Beijing 100029, China
| | - C B Jia
- General Office, China-Japan Friendship Hospital, Beijing 100029, China
| | - K F Xu
- Department of Pulmonary and Critical Care Medicine, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences/Peking Union Medical College, Beijing 100730, China
| | - D J Hu
- Department of Pulmonary and Critical Care Medicine, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences/Peking Union Medical College, Beijing 100730, China
| | - T Yang
- Department of Pulmonary and Critical Care Medicine, Center of Respiratory Medicine, China-Japan Friendship Hospital/National Center for Respiratory Medicine/Institute of Respiratory Medicine, Chinese Academy of Medical Sciences/National Clinical Research Center for Respiratory Diseases, Beijing 100029, China
| | - C Wang
- Department of Pulmonary and Critical Care Medicine, Center of Respiratory Medicine, China-Japan Friendship Hospital/National Center for Respiratory Medicine/Institute of Respiratory Medicine, Chinese Academy of Medical Sciences/National Clinical Research Center for Respiratory Diseases, Beijing 100029, China Chinese Academy of Medical Sciences/Peking Union Medical College, Beijing 100730, China
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Kalayjian A, Huang K, Sabbour S, Yasin M. Grassroots collaborations to address the trauma of suicide: Establishing the first suicide prevention lifeline in the republic of Armenia. International Journal of Mental Health 2022. [DOI: 10.1080/00207411.2022.2083392] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
Affiliation(s)
- A. Kalayjian
- Psychology, Association for Trauma Outreach and Prevention, MeaningfulWorld, Cliffside Park, NJ, USA
| | - K. Huang
- Psychology, Association for Trauma Outreach and Prevention, MeaningfulWorld, Cliffside Park, NJ, USA
| | - S. Sabbour
- Psychology, Association for Trauma Outreach and Prevention, MeaningfulWorld, Cliffside Park, NJ, USA
| | - M. Yasin
- Psychology, Association for Trauma Outreach and Prevention, MeaningfulWorld, Cliffside Park, NJ, USA
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Li XY, Huang K, Xu HG, Shen L, Zhan LP, Wu ZZ, Wu XJ, Huang QW, Huang WQ, Cheng B, Fang JP. [Cord blood transplantation with thiotepa containing myeloablative conditioning in a case of pediatric primary myelofibrosis]. Zhonghua Er Ke Za Zhi 2022; 60:471-473. [PMID: 35488645 DOI: 10.3760/cma.j.cn112140-20210919-00809] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Affiliation(s)
- X Y Li
- Department of Pediatrics, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou 510120, China
| | - K Huang
- Department of Pediatrics, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou 510120, China
| | - H G Xu
- Department of Pediatrics, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou 510120, China
| | - L Shen
- Department of Pediatrics, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou 510120, China
| | - L P Zhan
- Department of Pediatrics, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou 510120, China
| | - Z Z Wu
- Department of Pediatrics, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou 510120, China
| | - X J Wu
- Department of Pediatrics, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou 510120, China
| | - Q W Huang
- Department of Pediatrics, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou 510120, China
| | - W Q Huang
- Department of Pathology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou 510120, China
| | - B Cheng
- Department of Pathology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou 510120, China
| | - J P Fang
- Department of Pediatrics, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou 510120, China
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Xu XQ, Zhang JW, Chen RM, Luo JS, Chen SK, Zheng RX, Wu D, Zhu M, Wang CL, Liang Y, Yao H, Wei HY, Su Z, Maimaiti M, Du HW, Luo FH, Li P, Si ST, Wu W, Huang K, Dong GP, Yu YX, Fu JF. [Relationship between body mass index and sexual development in Chinese children]. Zhonghua Er Ke Za Zhi 2022; 60:311-316. [PMID: 35385936 DOI: 10.3760/cma.j.cn112140-20210906-00754] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
Objective: To investigate the relationship between body mass index (BMI) and sexual development in Chinese children. Methods: A nationwide multicenter and population-based large cross-sectional study was conducted in 13 provinces, autonomous regions and municipalities of China from January 2017 to December 2018. Data on sex, age, height, weight were collected, BMI was calculated and sexual characteristics were analyzed. The subjects were divided into four groups based on age, including ages 3-<6 years, 6-<10 years, 10-<15 years and 15-<18 years. Multiple Logistic regression models were used for evaluating the associations of BMI with sexual development in children. Dichotomous Logistic regression was used to compare the differences in the distribution of early and non-early puberty among normal weight, overweight and obese groups. Curves were drawn to analyze the relationship between the percentage of early puberty and BMI distribution in girls and boys at different Tanner stages. Results: A total of 208 179 healthy children (96 471 girls and 111 708 boys) were enrolled in this study. The OR values of B2, B3 and B4+ in overweight girls were 1.72 (95%CI: 1.56-1.89), 3.19 (95%CI: 2.86-3.57), 7.14 (95%CI: 6.33-8.05) and in obese girls were 2.05 (95%CI: 1.88-2.24), 4.98 (95%CI: 4.49-5.53), 11.21 (95%CI: 9.98-12.59), respectively; while the OR values of G2, G3, G4+ in overweight boys were 1.27 (95%CI: 1.17-1.38), 1.52 (95%CI: 1.36-1.70), 1.88 (95%CI: 1.66-2.14) and in obese boys were 1.27 (95%CI: 1.17-1.37), 1.59 (95%CI: 1.43-1.78), and 1.93 (95%CI: 1.70-2.18) (compared with normal weight Tanner 1 group,all P<0.01). Analysis in different age groups found that OR values of obese girls at B2 stage and boys at G2 stage were 2.02 (95%CI: 1.06-3.86) and 2.32 (95%CI:1.05-5.12) in preschool children aged 3-<6 years, respectively (both P<0.05). And in the age group of 6-10 years, overweight girls had a 5.45-fold risk and obese girls had a 12.54-fold risk of B3 stage compared to girls with normal BMI. Compared with normal weight children, the risk of early puberty was 2.67 times higher in overweight girls, 3.63 times higher in obese girls, and 1.22 times higher in overweight boys, 1.35 times higher in obese boys (all P<0.01). Among the children at each Tanner stages, the percentage of early puberty increased with the increase of BMI, from 5.7% (80/1 397), 16.1% (48/299), 13.8% (27/195) to 25.7% (198/769), 65.1% (209/321), 65.4% (157/240) in girls aged 8-<9, 10-<11 and 11-<12 years, and 6.6% (34/513), 18.7% (51/273), 21.6% (57/264) to 13.3% (96/722), 46.4% (140/302), 47.5% (105/221) in boys aged 9-<10, 12-<13 and 13-<14 years, respectively. Conclusions: BMI is positively correlated with sexual development in both Chinese boys and girls, and the correlation is stronger in girls. Obesity is a risk factor for precocious puberty in preschool children aged 3-<6 years, and 6-<10 years of age is a high risk period for early development in obese girls.
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Affiliation(s)
- X Q Xu
- Department of Endocrinology, the Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou 310052, China
| | - J W Zhang
- Department of Pediatrics, Shaoxing Maternity and Child Health Care Hospital, Shaoxing 312000, China
| | - R M Chen
- Department of Endocrinology, Fuzhou Children's Hospital of Fujian Province, Fuzhou 350000, China
| | - J S Luo
- Department of Endocrinology and Genetic Diseases, Maternal and Child Health Hospital of Guangxi Zhuang Autonomous Region, Nanning 530003, China
| | - S K Chen
- Department of Endocrinology and Genetic Diseases, Maternal and Child Health Hospital of Guangxi Zhuang Autonomous Region, Nanning 530003, China
| | - R X Zheng
- Department of Pediatrics, Tianjin Medical University General Hospital, Tianjin 350002, China
| | - D Wu
- Department of Endocrinology Genetics and Metabolism, Beijing Children's Hospital, Capital Medical University, Beijing 100045, China
| | - M Zhu
- Department of Endocrinology, Children's Hospital of Chongqing Medical University, Chongqing 400014, China
| | - C L Wang
- Department of Pediatrics, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310053, China
| | - Y Liang
- Department of Pediatrics, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - H Yao
- Department of Genetic Metabolism and Endocrinology, Wuhan Children's Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430016, China
| | - H Y Wei
- Department of Endocrinology and Metabolism, Genetics, Children's Hospital Affiliated to Zhengzhou University, Zhengzhou 450000, China
| | - Z Su
- Department of Endocrinology, Shenzhen Children's Hospital, Shenzhen 518028, China
| | - Mireguli Maimaiti
- Department of Pediatrics, the First Affiliated Hospital of Xinjiang Medical University, Urumchi 830054, China
| | - H W Du
- Department of Pediatrics, the First Bethune Hospital of Jilin University, Changchun 130021, China
| | - F H Luo
- Department of Endocrinology, Children's Hospital of Fudan University, Shanghai 201102, China
| | - P Li
- Department of Endocrinology, Children's Hospital of Shanghai, Shanghai 200062, China
| | - S T Si
- School of Public Health, Zhejiang University, Hangzhou 310014, China
| | - W Wu
- Department of Endocrinology, the Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou 310052, China
| | - K Huang
- Department of Endocrinology, the Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou 310052, China
| | - G P Dong
- Department of Endocrinology, the Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou 310052, China
| | - Y X Yu
- School of Public Health, Zhejiang University, Hangzhou 310014, China
| | - J F Fu
- Department of Endocrinology, the Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou 310052, China
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Liu Y, Ma WJ, Huang K, Yang J, Zeng Y, Shen B. Radiographic indexes in AP hip radiographs prior to total hip arthroplasty reveal candidates with low BMD. Osteoporos Int 2022; 33:871-879. [PMID: 34775528 DOI: 10.1007/s00198-021-06231-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/25/2021] [Accepted: 11/01/2021] [Indexed: 02/08/2023]
Abstract
UNLABELLED Using anteroposterior (AP) hip radiograph, we measured several indexes to investigate the association with bone mineral density (BMD) before THA and found a highly effective index to predict femoral BMD. This technique is helpful for both patients and clinicians to identify potential candidates with low BMD to whom DXA examination is particularly recommended. INTRODUCTION The purpose of the study is to identify patients with low bone mineral density (BMD) prior to total hip arthroplasty with the help of AP hip radiographs. METHODS Indexes on AP hip radiographs and T-scores from DXA examination of the lumbar spine and the affected hip were acquired from patients before THA. Indexes measured on AP hip radiographs including the canal calcar ratio (CCR), canal flare index (CFI), morphological cortical index (MCI), canal bone ratio (CBR), and canal bone area ratio (CBAR). The relevance between indexes and the T-score of femora was evaluated by correlation analysis, and the diagnostic value of indexes for osteopenia was examined by receiver operating characteristic (ROC) curves. RESULTS A total of 81 patients were included. The average value of CBR-7, CBR-10, and CBAR (7-10) were highly related to the T-score of femora (r = - 0.592, r = - 0.634, and r = - 0.631, respectively, p < 0.0001). Results of the intra- and interobserver variation assessment was excellent. CBR-7, CBR-10, and CBAR (7-10) were significantly different between the non-osteopenia and osteopenia groups (p < 0.0001). CBR-10 had the biggest area under curve (AUC), means the great diagnostic value for osteopenia in the proximal femora (AUC = 0.821, cutoff value = 0.3805). CONCLUSION The canal bone ratio at 10 × 10-2 m under the level of the lesser trochanter proved to be a great indicator of femoral osteopenia. Trial registration Chinese Clinical Trail Registry, ChiCTR2000041016. Registered 16 December 2020-Retrospectively registered, http://www.chictr.org.cn/listbycreater.aspx .
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Affiliation(s)
- Y Liu
- Orthopedics Research Institute, Department of Orthopedics, National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China
| | - W-J Ma
- Orthopedics Research Institute, Department of Orthopedics, National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China
| | - K Huang
- Orthopedics Research Institute, Department of Orthopedics, National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China
| | - J Yang
- Orthopedics Research Institute, Department of Orthopedics, National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China
| | - Y Zeng
- Orthopedics Research Institute, Department of Orthopedics, National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China
| | - B Shen
- Orthopedics Research Institute, Department of Orthopedics, National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China.
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50
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Wang Y, Huang K, Liu F, Lu X, Huang J, Gu D. Association of circulating branched-chain amino acids with risk of cardiovascular disease: A systematic review and meta-analysis. Atherosclerosis 2022; 350:90-96. [DOI: 10.1016/j.atherosclerosis.2022.04.026] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/20/2021] [Revised: 04/07/2022] [Accepted: 04/21/2022] [Indexed: 01/05/2023]
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