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Jannasz I, Brzeziński J, Mańczak M, Sondej T, Targowski T, Rysz J, Olszewski R. Is the association between pulse wave velocity and bone mineral density the same for men and women? - A systematic review and meta-analysis. Arch Gerontol Geriatr 2024; 119:105309. [PMID: 38171030 DOI: 10.1016/j.archger.2023.105309] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2023] [Revised: 11/30/2023] [Accepted: 12/09/2023] [Indexed: 01/05/2024]
Abstract
BACKGROUND Brachial aortic Pulse Wave Velocity (baPWV) and bone mineral density (BMD) are important indicators of cardiovascular health and bone strength, respectively. However, the gender-specific association between baPWV and BMD remains unclear. The aim of our study is to evaluate the relationship between baPWV and BMD in men and women populations METHODS: A comprehensive search was conducted in electronic databases for relevant studies published between the 1th and 30rd of April 2023. Studies reporting the correlation between baPWV and BMD in both males and females were considered. A random-effects model was used to calculate pooled correlation coefficients (r). RESULTS Relevant data for both genders were found in six articles. In all publications included in the meta-analysis, the total number of studied individuals was 3800, with 2054 women and 1746 men. Pooled correlation coefficient was -0,24 (95 % CI: -0.34; -0.15) in women population, and -0.12 (95 %CI: -0.16, -0.06) in men. CONCLUSIONS Based on the published data, we found that baPWV is negatively correlated with bone density in women. However, in men we do not find such a relationship. These findings suggest the importance of considering gender-specific factors when assessing the cardiovascular and bone health relationship.
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Affiliation(s)
- Iwona Jannasz
- Department of Geriatrics, National Institute of Geriatrics, Rheumatology and Rehabilitation, Warsaw, Poland
| | - Jakub Brzeziński
- Gerontology, Public Health and Education Department, National Institute of Geriatrics, Rheumatology and Rehabilitation, Warsaw, Poland.
| | - Małgorzata Mańczak
- Gerontology, Public Health and Education Department, National Institute of Geriatrics, Rheumatology and Rehabilitation, Warsaw, Poland
| | - Tadeusz Sondej
- Faculty of Electronics, Military University of Technology, Warsaw, Poland
| | - Tomasz Targowski
- Department of Geriatrics, National Institute of Geriatrics, Rheumatology and Rehabilitation, Warsaw, Poland
| | - Jacek Rysz
- Department of Nephrology, Hypertension and Family Medicine, Medical University of Lodz, Poland
| | - Robert Olszewski
- Gerontology, Public Health and Education Department, National Institute of Geriatrics, Rheumatology and Rehabilitation, Warsaw, Poland; Department of Ultrasound, Institute of Fundamental Technological Research, Polish Academy of Sciences, Poland
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Zheng Y, Gao N, Li Y, Fan M, Tian W, Jiang Y, Wang Y, Cui M, Suo C, Zhang T, Jin L, Xu K, Chen X. Unraveling the role of serum metabolites in the relationship between plant-based diets and bone health in community-dwelling older adults. Curr Res Food Sci 2024; 8:100687. [PMID: 38318314 PMCID: PMC10839558 DOI: 10.1016/j.crfs.2024.100687] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2023] [Revised: 01/20/2024] [Accepted: 01/22/2024] [Indexed: 02/07/2024] Open
Abstract
The potential adverse effects of the plant-based dietary pattern on bone health have received widespread attention. However, the biological mechanisms underlying the adverse effects of plant-based diets on bone health remain incompletely understood. The objective of this study was to identify potential biomarkers between plant-based diets and bone loss utilizing metabolomic techniques in the Taizhou Imaging Study (TIS) (N = 788). Plant-based diet indexes (overall plant-based diet index (PDI), healthy plant-based diet index (hPDI), and unhealthy plant-based diet index (uPDI)) were calculated using the food frequency questionnaire, and bone mineral density (BMD) was measured using dual-energy X-ray absorptiometry. A multinomial logistic regression was used to explore the associations of plant-based diet indexes with bone loss. Furthermore, mediation analysis and exploratory factor analysis (EFA) were performed to explore the mediated effects of metabolites on the association of plant-based diets with BMD T-score. Our results showed that higher hPDI and uPDI were positively associated with bone loss. Moreover, nineteen metabolites were significantly associated with BMD T-score, among them, seven metabolites were associated with uPDI. Except for cholesterol esters in VLDL-1, the remaining six metabolites significantly mediated the negative association between uPDI and BMD T-score. Interestingly, we observed that the same six metabolites mediated the positive association between fresh fruit and BMD T-score. Collectively, our results support the deleterious effects of plant-based diets on bone health and discover the potential mediation effect of metabolites on the association of plant-based diets with bone loss. The findings offer valuable insights that could optimize dietary recommendations and interventions, contributing to alleviate the potential adverse effects associated with plant-based diets.
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Affiliation(s)
- Yi Zheng
- State Key Laboratory of Genetic Engineering, Zhangjiang Fudan International Innovation Center, School of Life Sciences, Human Phenome Institute, Fudan University, Shanghai, China
| | - Ningxin Gao
- Department of Biostatistics, School of Public Health, The Key Laboratory of Public Health Safety of Ministry of Education, Fudan University, Shanghai, China
| | - Yucan Li
- State Key Laboratory of Genetic Engineering, Zhangjiang Fudan International Innovation Center, School of Life Sciences, Human Phenome Institute, Fudan University, Shanghai, China
| | - Min Fan
- Taixing Disease Control and Prevention Center, Taizhou, Jiangsu, China
| | - Weizhong Tian
- Taizhou People's Hospital Affiliated to Nantong University, Taizhou, Jiangsu, China
| | - Yanfeng Jiang
- State Key Laboratory of Genetic Engineering, Zhangjiang Fudan International Innovation Center, School of Life Sciences, Human Phenome Institute, Fudan University, Shanghai, China
- Fudan University Taizhou Institute of Health Sciences, Taizhou, Jiangsu, China
| | - Yingzhe Wang
- State Key Laboratory of Genetic Engineering, Zhangjiang Fudan International Innovation Center, School of Life Sciences, Human Phenome Institute, Fudan University, Shanghai, China
- Fudan University Taizhou Institute of Health Sciences, Taizhou, Jiangsu, China
| | - Mei Cui
- Fudan University Taizhou Institute of Health Sciences, Taizhou, Jiangsu, China
- Department of Neurology, Huashan Hospital, Fudan University, Shanghai, China
| | - Chen Suo
- Department of Biostatistics, School of Public Health, The Key Laboratory of Public Health Safety of Ministry of Education, Fudan University, Shanghai, China
- Fudan University Taizhou Institute of Health Sciences, Taizhou, Jiangsu, China
| | - Tiejun Zhang
- Department of Biostatistics, School of Public Health, The Key Laboratory of Public Health Safety of Ministry of Education, Fudan University, Shanghai, China
- Fudan University Taizhou Institute of Health Sciences, Taizhou, Jiangsu, China
| | - Li Jin
- State Key Laboratory of Genetic Engineering, Zhangjiang Fudan International Innovation Center, School of Life Sciences, Human Phenome Institute, Fudan University, Shanghai, China
- Fudan University Taizhou Institute of Health Sciences, Taizhou, Jiangsu, China
| | - Kelin Xu
- Department of Biostatistics, School of Public Health, The Key Laboratory of Public Health Safety of Ministry of Education, Fudan University, Shanghai, China
- Fudan University Taizhou Institute of Health Sciences, Taizhou, Jiangsu, China
| | - Xingdong Chen
- State Key Laboratory of Genetic Engineering, Zhangjiang Fudan International Innovation Center, School of Life Sciences, Human Phenome Institute, Fudan University, Shanghai, China
- Fudan University Taizhou Institute of Health Sciences, Taizhou, Jiangsu, China
- National Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai, China
- Yiwu Research Institute of Fudan University, Yiwu, Zhejiang, China
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Güneş M, Kara Z, Yavuzer S, Yavuzer H, Bolayirli İM, Oşar Siva Z. Relationship Between Carotid Intima-Media Thickness and Osteoporosis in Type 2 Diabetic Patients: Cross-Sectional Study in the Third-Level Center. Metab Syndr Relat Disord 2022; 20:592-598. [PMID: 36251930 DOI: 10.1089/met.2022.0008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022] Open
Abstract
Aim: Although atherosclerosis and osteoporosis (OP) are seen in elderly patients, it is still a matter of research whether there is an age-independent relationship between them. In our study, we planned to investigate the relationship between carotid intima-media thickness (CIMT), OP, and bone turnover parameters in patients with type 2 diabetes mellitus (DM2) of both sexes. Materials and Methods: A total of 69 patients and 40 healthy volunteers with chronic diseases such as DM2, hypertension, hyperlipidemia, and OP. Group 1 had 27 patients with DM2 and OP, group 2 had 42 patients with DM2 and no OP, and group 3 had 40 healthy volunteers without DM2 and OP. Results: In the control group, CIMT was measured lower than the patients with DM2 (0.8 + 0.1 and 1.1 + 0.3, P < 0.001, respectively). Femur T score and lumbar T score values of patients with DM2 were lower than the control group (-0.48 + 1.1 and 0.7 + 0.6, P < 0.001, and -1.3 + 1.5 and 0.6 + 0.5, P < 0.001, respectively). Bone turnover markers in DM2 compared to the control group (C-terminal telopeptide of type 1 collagen: 240.9 ± 211.1 and 606.5 ± 200.8, P < 0.001; bone-specific alkaline phosphatase: 47.9 ± 15.5 and 431.5 ± 140, P < 0.001; and osteocalcin: 13.2 ± 5.0 and 19.7 ± 9.2, P < 0.001, respectively) were lower. Patients with femoral region (TSF) T score and lumbar region (TSL) T score below -2.5 were found to have higher CIMT values than those without (1.2 ± 0.23 mm and 0.9 ± 0.23 mm, P = 0.006, and 1.1 ± 0.28 mm and 0.95 ± 0.21 mm, P = 0.003, respectively). In linear regression analysis, age (β = 0.01, P < 0.001), OP (β = 0.166, P = 0.001), and DDM2 (β = 0.222, P = 0.04) were found to be effective on CIMT, while DM2 (β) = -0.754, P < 0.001), CIMT (β = -0.258, P = 0.021), body mass index (β = 0.355, P = 0.028), and age (β = -0.229, P = 0.029) were found to be independent factors on TSF. Conclusion: Bone turnover and bone mineral density are decreased in DM2 patients. In addition, subclinical atherosclerosis is more common in DM2 patients. Findings suggest that there is a relationship between subclinical atherosclerosis and OP due to metabolic factors other than age.
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Affiliation(s)
- Mutlu Güneş
- Department of Endocrinology, Metabolism and Diabetes, Health Sciences University, Highly Specialization Training and Research Hospital, Bursa, Turkey
| | - Zehra Kara
- Department of Endocrinology, Metabolism and Diabetes, University of İstanbul-Cerrahpasa, Cerrahpasa Medical Faculty, Istanbul, Turkey
| | - Serap Yavuzer
- Department of İnternal Medicine Disease, University of Biruni, Istanbul, Turkey
| | - Hakan Yavuzer
- Department of İnternal Medicine Disease, University of İstanbul-Cerrahpaşa, Cerrahpaşa Medical Faculty, Istanbul, Turkey
| | - İbrahim Murat Bolayirli
- Department of Biochemistry, University of İstanbul-Cerrahpaşa, Cerrahpaşa Medical Faculty, Istanbul, Turkey
| | - Zeynep Oşar Siva
- Department of Endocrinology, Metabolism and Diabetes, University of İstanbul-Cerrahpasa, Cerrahpasa Medical Faculty, Istanbul, Turkey
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Lv X, Jiang Y, Yang D, Zhu C, Yuan H, Yuan Z, Suo C, Chen X, Xu K. The role of metabolites under the influence of genes and lifestyles in bone density changes. Front Nutr 2022; 9:934951. [PMID: 36118775 PMCID: PMC9481263 DOI: 10.3389/fnut.2022.934951] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2022] [Accepted: 08/04/2022] [Indexed: 11/25/2022] Open
Abstract
Purpose Osteoporosis is a complex bone disease influenced by numerous factors. Previous studies have found that some metabolites are related to bone mineral density (BMD). However, the associations between metabolites and BMD under the influence of genes and lifestyle have not been fully investigated. Methods We analyzed the effect of metabolites on BMD under the synergistic effect of genes and lifestyle, using the data of 797 participants aged 55–65 years from the Taizhou Imaging Study. The cumulative sum method was used to calculate the polygenic risk score of SNPs, and the healthful plant-based diet index was used to summarize food intake. The effect of metabolites on BMD changes under the influence of genes and lifestyle was analyzed through interaction analysis and mediation analysis. Results Nineteen metabolites were found significantly different in the osteoporosis, osteopenia, and normal BMD groups. We found two high-density lipoprotein (HDL) subfractions were positively associated with osteopenia, and six very-low-density lipoprotein subfractions were negatively associated with osteopenia or osteoporosis, after adjusting for lifestyles and genetic factors. Tea drinking habits, alcohol consumption, smoking, and polygenic risk score changed BMD by affecting metabolites. Conclusion With the increased level of HDL subfractions, the risk of bone loss in the population will increase; the risk of bone loss decreases with the increased level of very-low-density lipoprotein subfractions. Genetic factors and lifestyles can modify the effects of metabolites on BMD. Our results show evidence for the precise prevention of osteoporosis.
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Affiliation(s)
- Xuewei Lv
- State Key Laboratory of Genetic Engineering, School of Life Sciences, Human Phenome Institute, Fudan University, Shanghai, China
| | - Yanfeng Jiang
- State Key Laboratory of Genetic Engineering, School of Life Sciences, Human Phenome Institute, Fudan University, Shanghai, China
- Fudan University Taizhou Institute of Health Sciences, Taizhou, China
| | - Dantong Yang
- Shanghai Municipal Center for Disease Control and Prevention, Shanghai, China
| | - Chengkai Zhu
- State Key Laboratory of Genetic Engineering, School of Life Sciences, Human Phenome Institute, Fudan University, Shanghai, China
| | - Huangbo Yuan
- State Key Laboratory of Genetic Engineering, School of Life Sciences, Human Phenome Institute, Fudan University, Shanghai, China
| | - Ziyu Yuan
- Fudan University Taizhou Institute of Health Sciences, Taizhou, China
| | - Chen Suo
- Fudan University Taizhou Institute of Health Sciences, Taizhou, China
- Ministry of Education Key Laboratory of Public Health Safety, Department of Epidemiology, School of Public Health, Fudan University, Shanghai, China
| | - Xingdong Chen
- State Key Laboratory of Genetic Engineering, School of Life Sciences, Human Phenome Institute, Fudan University, Shanghai, China
- Fudan University Taizhou Institute of Health Sciences, Taizhou, China
- *Correspondence: Xingdong Chen,
| | - Kelin Xu
- Ministry of Education Key Laboratory of Public Health Safety, Department of Biostatistics, School of Public Health, Fudan University, Shanghai, China
- Kelin Xu,
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Carotid Ultrasound Screening Programs in Rural Communities: A Systematic Review. J Pers Med 2021; 11:jpm11090897. [PMID: 34575673 PMCID: PMC8465856 DOI: 10.3390/jpm11090897] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2021] [Revised: 09/01/2021] [Accepted: 09/02/2021] [Indexed: 01/04/2023] Open
Abstract
Carotid atherosclerosis assessments inform about stroke and cardiovascular risk. It is known that stroke and cardiovascular disease (CVD) prevalence is higher in rural communities than in urban communities. We aimed to conduct a systematic review of rural carotid ultrasound screening programs to define carotid atherosclerosis using traditional and emerging imaging biomarkers, prevalence, and risk factors. We searched Ovid/MEDLINE, Ovid/EMBASE, SCOPUS and CINAHL from inception to 3 April 2020 for rural population studies that utilized carotid ultrasound screening for adults ≥40 years of age and free of known cerebrovascular disease. Studies were included if participants received a bilateral ultrasound scanning of the carotid arteries and reported at least one marker of carotid atherosclerosis pathology. A random effect meta-analyses calculated the estimated prevalence of carotid plaque. In total, 22/3461 articles that met all of the inclusion criteria were included. Studies reported increased intima media thickness (IMT), carotid plaque presence and carotid artery stenosis. There were no studies reporting on novel imaging markers, such as carotid stiffness, carotid plaque morphology or neovascularization. The overall random effect pooled prevalence of carotid plaque was 34.1% (95% CI, 33.6–35.0); the prevalence of increased IMT was 11.2–41.5%, and the prevalence of carotid artery stenosis was 0.4–16.0%. There is an absence of data necessary to understand the carotid atherosclerosis prevalence across global rural populations. Represented studies have focused on East Asian countries where a high burden of rural carotid artery disease has been reported. There is no rural evidence to guide the use of novel ultrasound carotid biomarkers such as stiffness or neovascularization.
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Park J, Yoon YE, Kim KM, Hwang IC, Lee W, Cho GY. Prognostic value of lower bone mineral density in predicting adverse cardiovascular disease in Asian women. Heart 2021; 107:1040-1046. [PMID: 33963047 DOI: 10.1136/heartjnl-2020-318764] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/02/2020] [Revised: 03/05/2021] [Accepted: 03/13/2021] [Indexed: 12/13/2022] Open
Abstract
OBJECTIVE We investigated whether the evaluation of bone mineral density (BMD) provides independent and incremental prognostic value for predicting atherosclerotic cardiovascular disease (ASCVD) in women. METHODS A total of 12 681 women aged 50-80 years (mean, 63.0±7.8 years) who underwent dual-energy X-ray absorptiometry were retrospectively analysed. We assessed the hazard ratio (HR) for ASCVD events (ASCVD death, non-fatal myocardial infarction and ischaemic stroke) according to the BMD or a clinical diagnosis of osteopenia or osteoporosis, with adjustment for clinical risk factors, including age, body mass index, hypertension, type 2 diabetes, hyperlipidaemia, current smoking and previous fracture. We also evaluated whether the addition of BMD or a clinical diagnosis of osteopenia or osteoporosis to clinical risk factors improved the prediction for ASCVD events. RESULTS In total, 468 women (3.7%) experienced ASCVD events during follow-up (median, 9.2 years). Lower BMD at the lumbar spine, femur neck and total hip was independently associated with higher risk for ASCVD events (adjusted HR per 1-standard deviation decrease in BMD: 1.16, p<0.001; 1.29, p<0.001; 1.38, p<0.001; respectively). A clinical diagnosis of osteoporosis was also independently associated with higher risk for ASCVD events (adjusted HR: 1.79, p<0.001). The addition of BMD or a clinical diagnosis of osteopenia or osteoporosis to clinical risk factors demonstrated significant incremental value in discriminating ASCVD events (addition of total hip BMD, p for difference <0.001). CONCLUSION The evaluation of BMD provides independent and incremental prognostic value for ASCVD in women and thus may improve risk stratification in women.
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Affiliation(s)
- Jiesuck Park
- Department of Cardiology, Cardiovascular Center, Seoul National University Bundang Hospital, Seongnam, Gyeonggi-do, Republic of Korea
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Yeonyee Elizabeth Yoon
- Department of Cardiology, Cardiovascular Center, Seoul National University Bundang Hospital, Seongnam, Gyeonggi-do, Republic of Korea
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Kyoung Min Kim
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Yongin Severance Hospital, Yonsei University College of Medicine, Yongin, Republic of Korea
| | - In-Chang Hwang
- Department of Cardiology, Cardiovascular Center, Seoul National University Bundang Hospital, Seongnam, Gyeonggi-do, Republic of Korea
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Wonjae Lee
- Department of Cardiology, Cardiovascular Center, Seoul National University Bundang Hospital, Seongnam, Gyeonggi-do, Republic of Korea
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Goo-Yeong Cho
- Department of Cardiology, Cardiovascular Center, Seoul National University Bundang Hospital, Seongnam, Gyeonggi-do, Republic of Korea
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea
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Zhu S, Xu K, Jiang Y, Zhu C, Suo C, Cui M, Wang Y, Yuan Z, Xue J, Wang J, Zhang T, Zhao G, Ye W, Huang T, Lu M, Tian W, Jin L, Chen X. The gut microbiome in subclinical atherosclerosis: a population-based multi-phenotype analysis. Rheumatology (Oxford) 2021; 61:258-269. [PMID: 33769467 DOI: 10.1093/rheumatology/keab309] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022] Open
Abstract
BACKGROUND The altered microbiota, considered as quantitative traits, has also been identified to play pivotal roles in the host vascular physiology and might contribute to diseases. To understand the role of gut microbiota on vascular physiology in the sub-clinical elderly population and how lifestyles affect the composition of host gut microbiota to further impact the pathogenesis of vascular diseases. METHODS Performed a population-based fecal metagenomic study over 569 elderly asymptomatic sub-clinical individuals in rural China. An association network was built based on clinical measurements and detailed epidemiologic questionnaires, including blood chemistry, arterial stiffness, carotid ultrasonography, and metagenomic datasets. RESULTS Carotid arterial atherosclerosis indices, including intima-media thickness (IMT), were shown essentially in the network, and were significantly associated with living habits, socio-economic status, and diet. Using mediation analysis, we found that higher frequency of taking fresh fruits, fresh vegetables, and more exercise significantly reduces carotid arteries atherosclerosis in terms of IMT, PSV and EDV values the through the mediation of Alistepes, Oligella, and Prevotella. The gut microbes explained 16.5% of the mediation effect of lifestyles on the pathogenesis of carotid atherosclerosis. After adjusted, Faecalicatena (OR = 0.20∼0.30) was shown protective in the formation of carotid athersclerosis independently, while Libanicoccus (OR = 2.39∼2.43) were hazardous to carotid arterial IMTs. KEGG/KO analyses revealed a loss of anti-inflammation function in IMT subjects. CONCLUSIONS Our study provided a Chinese population-wide phenotype-metagenomic network, revealing association and mediation effect of gut microbiota on carotid artery atherosclerosis, hinting at a therapeutic and preventive potential of microbiota in vascular diseases.
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Affiliation(s)
- Sibo Zhu
- State Key Laboratory of Genetic Engineering and Human Phenome Institute, and School of Life Sciences, Fudan University, Shanghai, China.,Fudan University Taizhou Institute of Health Sciences, Taizhou, China.,Department of Epidemiology, School of Public Health, Fudan University, Shanghai, China
| | - Kelin Xu
- Fudan University Taizhou Institute of Health Sciences, Taizhou, China.,Department of Biostatistics, School of Public Health, Fudan University; Key Laboratory of Public Health Safety, Fudan University, Shanghai, China
| | - Yanfeng Jiang
- State Key Laboratory of Genetic Engineering and Human Phenome Institute, and School of Life Sciences, Fudan University, Shanghai, China.,Fudan University Taizhou Institute of Health Sciences, Taizhou, China
| | - Chengkai Zhu
- State Key Laboratory of Genetic Engineering and Human Phenome Institute, and School of Life Sciences, Fudan University, Shanghai, China
| | - Chen Suo
- Fudan University Taizhou Institute of Health Sciences, Taizhou, China.,Department of Epidemiology, School of Public Health, Fudan University, Shanghai, China
| | - Mei Cui
- Department of Neurology, Huashan Hospital, Fudan University, Shanghai, China
| | - Yingzhe Wang
- Department of Neurology, Huashan Hospital, Fudan University, Shanghai, China
| | - Ziyu Yuan
- Fudan University Taizhou Institute of Health Sciences, Taizhou, China
| | - Jiangli Xue
- Fudan University Taizhou Institute of Health Sciences, Taizhou, China
| | - Jiucun Wang
- State Key Laboratory of Genetic Engineering and Human Phenome Institute, and School of Life Sciences, Fudan University, Shanghai, China.,Fudan University Taizhou Institute of Health Sciences, Taizhou, China
| | - Tiejun Zhang
- Department of Epidemiology, School of Public Health, Fudan University, Shanghai, China
| | - Genming Zhao
- Department of Epidemiology, School of Public Health, Fudan University, Shanghai, China
| | - Weimin Ye
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Tingting Huang
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Ming Lu
- Clinical Epidemiology Unit, Qilu Hospital of Shandong University, Jinan, Shandong, China
| | - Weizhong Tian
- Department of Medical Imaging, Taizhou People's Hospital Affiliated to Nantong University, Taizhou, Jiangsu, China
| | - Li Jin
- State Key Laboratory of Genetic Engineering and Human Phenome Institute, and School of Life Sciences, Fudan University, Shanghai, China.,Fudan University Taizhou Institute of Health Sciences, Taizhou, China
| | - Xingdong Chen
- State Key Laboratory of Genetic Engineering and Human Phenome Institute, and School of Life Sciences, Fudan University, Shanghai, China.,Fudan University Taizhou Institute of Health Sciences, Taizhou, China
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Yokomoto-Umakoshi M, Umakoshi H, Ogata M, Fukumoto T, Matsuda Y, Miyazawa T, Sakamoto R, Ogawa Y. Coexistence of osteoporosis and atherosclerosis in pheochromocytoma: new insights into its long-term management. Osteoporos Int 2020; 31:2151-2160. [PMID: 32617610 DOI: 10.1007/s00198-020-05527-5] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/07/2020] [Accepted: 06/26/2020] [Indexed: 02/06/2023]
Abstract
UNLABELLED Osteoporosis and atherosclerosis frequently coexist in patients with pheochromocytoma. The presence of osteoporosis may predict that of atherosclerosis and vice versa in patients with PHEO. These findings have implications for the long-term management of the pheochromocytoma and its potential chronic complications. INTRODUCTION Pheochromocytoma (PHEO), a catecholamine-producing tumor, is often found incidentally, and it may be present for years before it is diagnosed. However, long-term exposure to catecholamines excess may induce chronic complications, such as osteoporosis and atherosclerosis. We aimed to evaluate concomitant osteoporosis and atherosclerosis in patients with PHEO. METHODS Fifty-one patients with PHEO and 51 patients with a non-functional adrenal tumor were compared radiographically for the prevalence of vertebral fracture (VF), a typical osteoporotic fracture, and abdominal aortic calcification (AAC). RESULTS In patients with PHEO, the prevalence of AAC was higher in those with VF (58%) than in those without (6%, p < 0.001). AAC was associated with VF after adjusting for age and sex (odds ratio, 1.53; 95% confidence interval, 1.07-2.46; p = 0.003) in patients with PHEO. The degree of catecholamine excess correlated with the presence of VF and AAC (p = 0.007). The prevalence of VF was higher in patients with PHEO (37%) than those with non-functional AT (12%, p = 0.005), but the prevalence of AAC was comparable between the two groups (25% and 19%, p = 0.636). VF and AAC more frequently coexisted in patients with PHEO (22%) than in those with non-functional AT (2%, p = 0.003). CONCLUSION This study represents the first demonstration that osteoporosis and atherosclerosis frequently coexist in patients with PHEO. The presence of osteoporosis may predict that of atherosclerosis and vice versa in patients with PHEO. These findings have implications for the long-term management of the PHEO and its potential chronic complications.
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Affiliation(s)
- M Yokomoto-Umakoshi
- Department of Medicine and Bioregulatory Science, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - H Umakoshi
- Department of Medicine and Bioregulatory Science, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.
| | - M Ogata
- Department of Medicine and Bioregulatory Science, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - T Fukumoto
- Department of Medicine and Bioregulatory Science, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Y Matsuda
- Department of Medicine and Bioregulatory Science, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - T Miyazawa
- Department of Medicine and Bioregulatory Science, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - R Sakamoto
- Department of Medicine and Bioregulatory Science, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Y Ogawa
- Department of Medicine and Bioregulatory Science, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.
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Jiang Y, Cui M, Tian W, Zhu S, Chen J, Suo C, Liu Z, Lu M, Xu K, Fan M, Wang J, Dong Q, Ye W, Jin L, Chen X. Lifestyle, multi-omics features, and preclinical dementia among Chinese: The Taizhou Imaging Study. Alzheimers Dement 2020; 17:18-28. [PMID: 32776666 DOI: 10.1002/alz.12171] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2020] [Revised: 07/01/2020] [Accepted: 07/11/2020] [Indexed: 12/14/2022]
Abstract
China has the largest number of patients with dementia in the world. However, dementia in the Chinese population is still poorly understood and under-researched. Given the differences in genetic, demographic, sociocultural, lifestyle, and health profiles among Chinese and other ethnic/racial groups, it is crucial to build appropriate infrastructure for long-term longitudinal studies to advance Chinese cognitive aging and dementia research. We initiated a community-based prospective cohort-the Taizhou Imaging Study (TIS)-to accelerate the understanding of dementia and cerebrovascular diseases in Chinese. This article presents the rationale, aims, study design, and organization of TIS. In addition, we described some examples of the types of studies such a resource might support. The TIS provides a new framework for facilitating Chinese dementia research, encompassing invaluable resources including detailed epidemiological, sociocultural, neuroimaging, and omics data.
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Affiliation(s)
- Yanfeng Jiang
- State Key Laboratory of Genetic Engineering, Human Phenome Institute, and School of Life Sciences, Fudan University, Shanghai, China.,Fudan University Taizhou Institute of Health Sciences, Taizhou, Jiangsu, China
| | - Mei Cui
- Department of Neurology, Huashan Hospital, Fudan University, Shanghai, China
| | - Weizhong Tian
- Department of Medical Imaging, Taizhou People's Hospital Affiliated to Nantong University, Taizhou, Jiangsu, China
| | - Sibo Zhu
- State Key Laboratory of Genetic Engineering, Human Phenome Institute, and School of Life Sciences, Fudan University, Shanghai, China.,Fudan University Taizhou Institute of Health Sciences, Taizhou, Jiangsu, China.,Department of Epidemiology, School of Public Health, and the Key Laboratory of Public Health Safety of Ministry of Education, Fudan University, Shanghai, China
| | - Jinhua Chen
- Department of Medical Imaging, Taizhou People's Hospital Affiliated to Nantong University, Taizhou, Jiangsu, China
| | - Chen Suo
- Fudan University Taizhou Institute of Health Sciences, Taizhou, Jiangsu, China.,Department of Epidemiology, School of Public Health, and the Key Laboratory of Public Health Safety of Ministry of Education, Fudan University, Shanghai, China
| | - Zhenqiu Liu
- State Key Laboratory of Genetic Engineering, Human Phenome Institute, and School of Life Sciences, Fudan University, Shanghai, China.,Fudan University Taizhou Institute of Health Sciences, Taizhou, Jiangsu, China
| | - Ming Lu
- Fudan University Taizhou Institute of Health Sciences, Taizhou, Jiangsu, China.,Clinical Epidemiology Unit, Qilu Hospital of Shandong University, Jinan, Shandong, China
| | - Kelin Xu
- Fudan University Taizhou Institute of Health Sciences, Taizhou, Jiangsu, China.,Department of Biostatistics, School of Public Health, and the Key Laboratory of Public Health Safety of Ministry of Education, Fudan University, Shanghai, China
| | - Min Fan
- Taixing Disease Control and Prevention Center, Taizhou, Jiangsu, China
| | - Jiucun Wang
- State Key Laboratory of Genetic Engineering, Human Phenome Institute, and School of Life Sciences, Fudan University, Shanghai, China.,Fudan University Taizhou Institute of Health Sciences, Taizhou, Jiangsu, China
| | - Qiang Dong
- Department of Neurology, Huashan Hospital, Fudan University, Shanghai, China
| | - Weimin Ye
- Fudan University Taizhou Institute of Health Sciences, Taizhou, Jiangsu, China.,Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Li Jin
- State Key Laboratory of Genetic Engineering, Human Phenome Institute, and School of Life Sciences, Fudan University, Shanghai, China.,Fudan University Taizhou Institute of Health Sciences, Taizhou, Jiangsu, China
| | - Xingdong Chen
- State Key Laboratory of Genetic Engineering, Human Phenome Institute, and School of Life Sciences, Fudan University, Shanghai, China.,Fudan University Taizhou Institute of Health Sciences, Taizhou, Jiangsu, China
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Jiang Y, Zhang K, Zhu Z, Cui M, An Y, Wang Y, Suo C, Fan M, Jin L, Tian W, Chen X. Associations between serum metabolites and subclinical atherosclerosis in a Chinese population: the Taizhou Imaging Study. Aging (Albany NY) 2020; 12:15302-15313. [PMID: 32645693 PMCID: PMC7467377 DOI: 10.18632/aging.103456] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2020] [Accepted: 05/27/2020] [Indexed: 12/22/2022]
Abstract
Metabolomics provides a promising tool for understanding the pathophysiology and identifying biomarkers of atherosclerosis. We aimed to estimate the associations between circulating metabolites and subclinical atherosclerosis in a Chinese cohort. The baseline serum levels of 38 metabolites of 489 individuals were measured using nuclear magnetic resonance. Associations between metabolites and brachial-ankle pulse wave velocity (baPWV) and carotid intima-media thickness (IMT) were determined using a linear regression. A multivariate logistic regression was used to evaluate the associations of metabolites and subclinical atherosclerosis defined as high baPWV (>median) and increased IMT (>median). After adjusting for covariates and multiple testing corrections (false discovery rate; FDR), two branched-chain amino acids (BCAAs; leucine and isoleucine), one ketone (acetoacetate), and two lipids were positively associated with baPWV. Lactate was inversely associated with IMT. Elevated acetoacetate levels (odds ratio: 1.53, 95% confidence interval: 1.20-1.97; FDR <0.001) and four other lipid features were associated with an increased risk of high baPWV. Alterations in circulating lipids and BCAAs were associated with the risk of arterial stiffness in the middle-aged Chinese population. Our findings provide clues to understanding the potential mechanisms of subclinical atherosclerosis; however, further validation in a broader population context and the exploration of potential clinical applications are warranted.
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Affiliation(s)
- Yanfeng Jiang
- State Key Laboratory of Genetic Engineering, Human Phenome Institute, and School of Life Sciences, Fudan University, Shanghai, China.,Fudan University Taizhou Institute of Health Sciences, Taizhou, Jiangsu, China
| | - Kexun Zhang
- Fudan University Taizhou Institute of Health Sciences, Taizhou, Jiangsu, China.,Department of Epidemiology, School of Public Health, Fudan University, Shanghai, China
| | - Zhen Zhu
- Fudan University Taizhou Institute of Health Sciences, Taizhou, Jiangsu, China.,Department of Epidemiology, School of Public Health, Fudan University, Shanghai, China
| | - Mei Cui
- Department of Neurology, Huashan Hospital, Fudan University, Shanghai, China
| | - Yanpeng An
- Metabonomics and Systems Biology Laboratory, School of Life Sciences, Fudan University, Shanghai, China
| | - Yingzhe Wang
- Department of Neurology, Huashan Hospital, Fudan University, Shanghai, China
| | - Chen Suo
- Fudan University Taizhou Institute of Health Sciences, Taizhou, Jiangsu, China.,Department of Epidemiology, School of Public Health, Fudan University, Shanghai, China
| | - Min Fan
- Taixing Disease Control and Prevention Center, Taizhou, Jiangsu, China
| | - Li Jin
- State Key Laboratory of Genetic Engineering, Human Phenome Institute, and School of Life Sciences, Fudan University, Shanghai, China.,Fudan University Taizhou Institute of Health Sciences, Taizhou, Jiangsu, China
| | - Weizhong Tian
- Department of Medical Imaging, Taizhou People's Hospital Affiliated to Nantong University, Taizhou, Jiangsu, China
| | - Xingdong Chen
- State Key Laboratory of Genetic Engineering, Human Phenome Institute, and School of Life Sciences, Fudan University, Shanghai, China.,Fudan University Taizhou Institute of Health Sciences, Taizhou, Jiangsu, China
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Zhu Z, Jiang Y, Cui M, Wang Y, Li S, Xu K, Zhang K, Zhu C, Xu W, Jin L, Ye W, Suo C, Chen X. ALDH2 rs671 polymorphisms and the risk of cerebral microbleeds in Chinese elderly: the Taizhou Imaging Study. ANNALS OF TRANSLATIONAL MEDICINE 2020; 8:229. [PMID: 32309376 PMCID: PMC7154495 DOI: 10.21037/atm.2020.01.01] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
Abstract
Background Cerebral microbleeds (CMBs) are more prevalent in Asian populations, and have been associated with increased risk of stroke, dementia and mortality. So far, risk factors for CMBs other than hypertension were merely known. Previous studies have shown that polymorphisms at aldehyde dehydrogenase 2 (ALDH2) gene were independently associated with the risk of stroke. Its role in CMBs, however, remains unclear. This study aimed to evaluate the associations of ALDH2 gene polymorphisms with CMBs in Chinese elderly. Methods Using bio-specimen and data collected at baseline survey of the population-based Taizhou Imaging Study (TIS) (phase I), we genotyped the single nucleotide polymorphisms (SNPs) at ALDH2 among 549 individuals aged 55–65 years, and rs671 was used as surrogate marker of ALDH2. CMBs were detected on brain magnetic resonance imaging (MRI), and further categorized as strictly lobar or as deep/mixed. Logistic regression models were used to evaluate the associations of the variants at ALDH2 and CMBs. Results CMBs were present in 103 individuals (18.8%). Forty-one point three percent participants were with ALDH2 *2 allele and 5.1% had ALDH2 *2/*2 genotype. Subjects with ALDH2 *1 allele were more likely to be drinker, have hypertension or CMBs than those with *2 allele (all P<0.05). Multivariate logistic regression model showed that the ALDH2 *1/*1 genotype was independently associated with CMBs (P=0.013), particularly for deep/mixed CMBs (P=0.008), and the association was more pronounced in men, non-drinkers or hypertension patients. Conclusions The results suggest that Han Chinese with ALDH2 *1/*1 genotype may be more susceptible to CMBs than those with ALDH2 *2 allele.
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Affiliation(s)
- Zhen Zhu
- Department of Epidemiology, School of Public Health, and the Key Laboratory of Public Health Safety of Ministry of Education, Fudan University, Shanghai 200438, China.,State Key Laboratory of Genetic Engineering, Human Phenome Institute, Fudan University, Shanghai 200438, China
| | - Yanfeng Jiang
- State Key Laboratory of Genetic Engineering, Human Phenome Institute, Fudan University, Shanghai 200438, China.,Fudan University Taizhou Institute of Health Sciences, Taizhou 225312, China
| | - Mei Cui
- Department of Neurology, Huashan Hospital, Fudan University, Shanghai 200030, China
| | - Yingzhe Wang
- Department of Neurology, Huashan Hospital, Fudan University, Shanghai 200030, China
| | - Shuyuan Li
- International Peace Maternity and Child Health Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200030, China
| | - Kelin Xu
- State Key Laboratory of Genetic Engineering, Human Phenome Institute, Fudan University, Shanghai 200438, China.,School of Data Science and Institute for Big Data, and the Collaborative Innovation Center for Genetics and Development, Fudan University, Shanghai 200433, China
| | - Kexun Zhang
- Department of Epidemiology, School of Public Health, and the Key Laboratory of Public Health Safety of Ministry of Education, Fudan University, Shanghai 200438, China.,State Key Laboratory of Genetic Engineering, Human Phenome Institute, Fudan University, Shanghai 200438, China
| | - Chengkai Zhu
- State Key Laboratory of Genetic Engineering, Human Phenome Institute, Fudan University, Shanghai 200438, China.,School of Life Sciences, Fudan University, Shanghai 200438, China
| | - Wanghong Xu
- Department of Epidemiology, School of Public Health, and the Key Laboratory of Public Health Safety of Ministry of Education, Fudan University, Shanghai 200438, China
| | - Li Jin
- State Key Laboratory of Genetic Engineering, Human Phenome Institute, Fudan University, Shanghai 200438, China.,Fudan University Taizhou Institute of Health Sciences, Taizhou 225312, China.,School of Life Sciences, Fudan University, Shanghai 200438, China
| | - Weimin Ye
- State Key Laboratory of Genetic Engineering, Human Phenome Institute, Fudan University, Shanghai 200438, China.,Department of Medical Epidemiology and Biostatistics, Karolinska Instituted, Stockholm, Sweden
| | - Chen Suo
- Department of Epidemiology, School of Public Health, and the Key Laboratory of Public Health Safety of Ministry of Education, Fudan University, Shanghai 200438, China.,State Key Laboratory of Genetic Engineering, Human Phenome Institute, Fudan University, Shanghai 200438, China
| | - Xingdong Chen
- State Key Laboratory of Genetic Engineering, Human Phenome Institute, Fudan University, Shanghai 200438, China.,Fudan University Taizhou Institute of Health Sciences, Taizhou 225312, China
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Zhang K, Jiang Y, Wang Y, Suo C, Xu K, Zhu Z, Zhu C, Zhao G, Jin L, Ye W, Cui M, Chen X. Associations of Arterial Stiffness and Carotid Atherosclerosis with Cerebral Small Vessel Disease in a Rural Community-Based Population. J Atheroscler Thromb 2020; 27:922-933. [PMID: 32037371 PMCID: PMC7508727 DOI: 10.5551/jat.52530] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022] Open
Abstract
AIMS We aimed to examine the associations of four extracranial artery indicators with cerebral small vessel disease (CSVD) and its total burden. METHODS A total of 904 individuals aged 55-65 years old were included from the Taizhou Imaging Study. CSVD markers, including lacunes (LAC), white matter hyperintensities (WMH), cerebral microbleeds (CMB), and perivascular spaces (PVS), were rated based on brain magnetic resonance imaging. We also measured extracranial artery indices, including the brachial-ankle pulse wave velocity (baPWV), the ankle-brachial index, the carotid intima-media thickness (IMT), and carotid plaque. Linear and binary logistic regressions were adopted to test the associations among these four artery indicators and each CSVD marker when appropriate. Additionally, ordinal and multinomial logistic regressions were performed to assess the relationships between artery indicators and total CSVD score (range from 0-4 points). RESULTS A total of 443 (49.0%) participants were found to have at least one of the CSVD markers, including 172 (19.0%) with WMH, 184 (20.4%) with LAC, 147 (16.3%) with CMB, and 226 (25.0%) with PVS. Increased baPWV was significantly associated with each CSVD marker, increasing carotid IMT was associated with LAC and PVS, and the presence of carotid plaque was associated with WMH volume and PVS. Moreover, per SD increment of baPWV (odds ratio [OR]: 1.29, 95% confidence interval [CI]: 1.11-1.50) and the presence of carotid plaque (OR: 1.42, 95% CI: 1.05-1.92) were significantly associated with greater total CSVD scores. CONCLUSION Increased baPWV and the presence of carotid plaque appear to be associated with total CSVD burden in rural regions in China.
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Affiliation(s)
- Kexun Zhang
- Department of Epidemiology, School of Public Health, and the Key Laboratory of Public Health Safety of Ministry of Education, Fudan University.,Fudan University Taizhou Institute of Health Sciences
| | - Yanfeng Jiang
- Fudan University Taizhou Institute of Health Sciences.,State Key Laboratory of Genetic Engineering, Human Phenome Institute, Fudan University
| | - Yingzhe Wang
- Department of Neurology, Huashan Hospital, Fudan University
| | - Chen Suo
- Department of Epidemiology, School of Public Health, and the Key Laboratory of Public Health Safety of Ministry of Education, Fudan University.,Fudan University Taizhou Institute of Health Sciences
| | - Kelin Xu
- Fudan University Taizhou Institute of Health Sciences.,Department of Biostatistics, and Key Laboratory of Public Health Safety, School of Public Health, Fudan University
| | - Zhen Zhu
- Department of Epidemiology, School of Public Health, and the Key Laboratory of Public Health Safety of Ministry of Education, Fudan University.,Fudan University Taizhou Institute of Health Sciences
| | - Chengkai Zhu
- Fudan University Taizhou Institute of Health Sciences.,State Key Laboratory of Genetic Engineering, Human Phenome Institute, Fudan University.,School of Life Sciences, Fudan University
| | - Genming Zhao
- Department of Epidemiology, School of Public Health, and the Key Laboratory of Public Health Safety of Ministry of Education, Fudan University
| | - Li Jin
- Fudan University Taizhou Institute of Health Sciences.,State Key Laboratory of Genetic Engineering, Human Phenome Institute, Fudan University.,School of Life Sciences, Fudan University
| | - Weimin Ye
- Fudan University Taizhou Institute of Health Sciences.,Department of Medical Epidemiology and Biostatistics, Karolinska Institutet
| | - Mei Cui
- Department of Neurology, Huashan Hospital, Fudan University
| | - Xingdong Chen
- Fudan University Taizhou Institute of Health Sciences.,State Key Laboratory of Genetic Engineering, Human Phenome Institute, Fudan University
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