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Dai X, Wang F, Ni L, Jiang J, Liang J, Xu T, Min Z, Chen S, Yao Y, Yi G, Luo Y, Pan Z, Chen Z. Occupational noise and genetic variants in stress hormone biosynthesis-based genes and rates of blood lipid changes in China: A five-year longitudinal study. Int J Hyg Environ Health 2024; 260:114404. [PMID: 38878408 DOI: 10.1016/j.ijheh.2024.114404] [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: 02/20/2024] [Revised: 05/13/2024] [Accepted: 05/28/2024] [Indexed: 06/29/2024]
Abstract
Lipid profiles are influenced by both noise and genetic variants. However, little is known about the associations of occupational noise and genetic variants with age-related changes in blood lipids, a crucial event in the initiation and evolution of atherosclerotic cardiovascular diseases. We aimed to evaluate the associations of blood lipid change rates with occupational noise and genetic variants in stress hormone biosynthesis-based genes. This cohort was established in 2012 and 2013 and was followed up until 2017. A total of 952 participants were included in the final analysis and all of them were categorized to two groups, the exposed group and control group, according to the exposed noise levels in their working area. Single nucleotide polymorphisms (SNPs) in stress hormone biosynthesis-based genes were genotyped. Five physical examinations were conducted from 2012 to 2017 and lipid measurements were repeated five times. The estimated annual changes (EACs) of blood lipid were calculated as the difference in blood lipid levels between any 2 adjacent examinations divided by their time interval (year). The generalized estimating equations for repeated measures analyses with exchangeable correlation structures were used to evaluate the influence of exposing to noise (versus being a control) and the SNPs mentioned above on the EACs of blood lipids. We found that the participants experienced accelerated age-related decline in high-density lipoprotein cholesterol (HDL-C) levels as they were exposed to noise (β = -0.38, 95% confidence interval (CI), -0.66 to -0.10, P = 0.007), after adjusting for work duration, gender, smoking, alcohol consumption, and pack-years. This trend was only found in participants with COMT-rs165815 TT genotype (β = -1.19, 95% CI, -1.80 to -0.58, P < 0.001), but not in those with the CC or CT genotypes. The interaction of noise exposure and rs165815 was marginally significant (Pinteraction = 0.010) after multiple adjustments. Compared with DDC-rs11978267 AA genotype carriers, participants carrying rs11978267 GG genotype had decreased EAC of triglycerides (TG) (β = -5.06, 95% CI, -9.07 to -1.05, P = 0.013). Participants carrying DBH-rs4740203 CC genotype had increased EAC of total cholesterol (TC) (β = 1.19, 95% CI, 0.06 to 2.33, P = 0.039). However, these findings were not statistically significant after multiple adjustments. These results indicated that Occupational noise exposure was associated with accelerated age-related decreases in HDL-C levels, and the COMT-rs165815 genotype appeared to modify the effect of noise exposure on HDL-C changes among the occupational population.
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Affiliation(s)
- Xiayun Dai
- Wuhan Prevention and Treatment Center for Occupational Diseases, Jianghan Bei Lu 18, Wuhan, 430015, Hubei, PR China
| | - Fan Wang
- Wuhan Prevention and Treatment Center for Occupational Diseases, Jianghan Bei Lu 18, Wuhan, 430015, Hubei, PR China
| | - Lei Ni
- Wuhan Prevention and Treatment Center for Occupational Diseases, Jianghan Bei Lu 18, Wuhan, 430015, Hubei, PR China
| | - Jinfeng Jiang
- Wuhan Prevention and Treatment Center for Occupational Diseases, Jianghan Bei Lu 18, Wuhan, 430015, Hubei, PR China
| | - Jiaojun Liang
- Wuhan Prevention and Treatment Center for Occupational Diseases, Jianghan Bei Lu 18, Wuhan, 430015, Hubei, PR China
| | - Tian Xu
- Wuhan Prevention and Treatment Center for Occupational Diseases, Jianghan Bei Lu 18, Wuhan, 430015, Hubei, PR China
| | - Zhiteng Min
- Wuhan Prevention and Treatment Center for Occupational Diseases, Jianghan Bei Lu 18, Wuhan, 430015, Hubei, PR China
| | - Siqi Chen
- Wuhan Prevention and Treatment Center for Occupational Diseases, Jianghan Bei Lu 18, Wuhan, 430015, Hubei, PR China
| | - Yong Yao
- Wuhan Prevention and Treatment Center for Occupational Diseases, Jianghan Bei Lu 18, Wuhan, 430015, Hubei, PR China
| | - Guilin Yi
- Wuhan Prevention and Treatment Center for Occupational Diseases, Jianghan Bei Lu 18, Wuhan, 430015, Hubei, PR China
| | - Yongbin Luo
- Wuhan Prevention and Treatment Center for Occupational Diseases, Jianghan Bei Lu 18, Wuhan, 430015, Hubei, PR China
| | - Zhiwei Pan
- Wuhan Prevention and Treatment Center for Occupational Diseases, Jianghan Bei Lu 18, Wuhan, 430015, Hubei, PR China
| | - Zhenlong Chen
- Wuhan Prevention and Treatment Center for Occupational Diseases, Jianghan Bei Lu 18, Wuhan, 430015, Hubei, PR China.
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Hallab A. High serum Cholesterol and Triglyceride levels in older adults: associations with sleep and nighttime behavior disorders at baseline and a prediction analysis of incidental cases at 12 months follow-up. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.06.05.24308529. [PMID: 38883726 PMCID: PMC11178015 DOI: 10.1101/2024.06.05.24308529] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/18/2024]
Abstract
Introduction This study explored the association between dyslipidemia and sleep and nighttime behavior disorders (SNBD) in the elderly. Methods ADNI population with complete Cholesterol, Triglyceride, SNBD, and neurocognitive data were included. Logistic regression was performed to study the association between dyslipidemia and SNBD at baseline and 12 months. Relevant confounders were adjusted for. Results Among the 2,216 included cases, 1,045 (47%) were females, and the median age was 73 (IQR: 68, 78). At baseline, 357 (16%) had SNBD, and 327 (18%) at 12 months; 187 were incident cases.There were more cases of baseline SNBD in the hypertriglyceridemia group than in those without (19% vs. 14%, p-value=0.003). Similarly, more follow-up SNBD cases had hypertriglyceridemia at baseline (21% vs. 16%, p-value=0.025). SNBD cases at baseline had significantly higher serum Triglyceride levels than those without (132 vs. 118mg/dL, p-value<0.001).Only hypertriglyceridemia was significantly associated with baseline SNBD (crude OR=1.43, 95%CI: 1.13,1.80, p-value=0.003), even after adjustment for confounding factors (adj.OR=1.36, 95%CI: 1.06,1.74, p-value=0.016) and (BMI-adj.OR=1.29, 95%CI: 1.00,1.66, p-value=0.048). None of the dyslipidemia forms did predict incident cases at 12 months. Conclusions Hypertriglyceridemia, but not hypercholesterolemia, was associated with higher odds of SNBD. None of the dyslipidemia forms predicted incidental SNBD over 12 months.
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Affiliation(s)
- Asma Hallab
- Biologie Intégrative et Physiologie – Parcours Neurosciences Cellulaires. Faculté des Sciences et Ingénierie. Sorbonne Université, Paris, France
- Pathologie du Sommeil. Faculté de Médecine Pitié-Salpêtrière, Sorbonne Université, Paris, France
- Charité - Universitätsmedizin Berlin, Corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin. Institut of Public Health. Berlin, Germany
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Liu M, Zhang H, Wang Z, Mo T, Lai X, He Y, Jiang M, He M, Kong W, Wu T, Zhang X. Independent and Combined Associations of Sleep Duration, Bedtime, and Polygenic Risk Score with the Risk of Hearing Loss among Middle-Aged and Old Chinese: The Dongfeng-Tongji Cohort Study. RESEARCH (WASHINGTON, D.C.) 2023; 6:0178. [PMID: 37383219 PMCID: PMC10298215 DOI: 10.34133/research.0178] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/29/2022] [Accepted: 05/29/2023] [Indexed: 06/30/2023]
Abstract
Evidence available on the independent and combined associations of sleep duration, bedtime, and genetic predisposition with hearing loss was lacking. The present study included 15,827 participants from the Dongfeng-Tongji cohort study. Genetic risk was characterized by polygenic risk score (PRS) based on 37 genetic loci related to hearing loss. We conducted multivariate logistic regression models to assess the odds ratio (OR) for hearing loss with sleep duration and bedtime, as well as the joint association and interaction with PRS. Results showed that hearing loss was independently associated with sleeping ≥9 h/night compared to the recommended 7 to <8 h/night, and with bedtime ≤9:00 p.m. and >9:00 p.m. to 10:00 p.m. compared to those with bedtime >10:00 p.m. to 11:00 p.m., with estimated ORs of 1.25, 1.27, and 1.16, respectively. Meanwhile, the risk of hearing loss increased by 29% for each 5-risk allele increment of PRS. More importantly, joint analyses showed that the risk of hearing loss was 2-fold in sleep duration ≥9 h/night and high PRS, and 2.18-fold in bedtime ≤9:00 p.m. and high PRS. With significant joint effects of sleep duration and bedtime on hearing loss, we found an interaction of sleep duration with PRS in those with early bedtime and an interaction of bedtime with PRS in those with long sleep duration on hearing loss (Pint <0.05), and such relationships were more evident in high PRS. Similarly, the above relationships were also observed for age-related hearing loss and noise-induced hearing loss, particularly the latter. In addition, age-modified effects of sleep patterns on hearing loss were likewise observed, with stronger estimation among those aged <65 years. Accordingly, longer sleep duration, early bedtime, and high PRS were independently and jointly related to increased risk of hearing loss, suggesting the importance of considering both genetics and sleep pattern for risk assessment of hearing loss.
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Affiliation(s)
- Miao Liu
- Department of Occupational and Environmental Health, Ministry of Education Key Laboratory of Environment and Health, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Haiqing Zhang
- Department of Occupational and Environmental Health, Ministry of Education Key Laboratory of Environment and Health, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Zhichao Wang
- Department of Otorhinolaryngology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Tingting Mo
- Department of Occupational and Environmental Health, Ministry of Education Key Laboratory of Environment and Health, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Xuefeng Lai
- Department of Occupational and Environmental Health, Ministry of Education Key Laboratory of Environment and Health, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Yaling He
- Department of Occupational and Environmental Health, Ministry of Education Key Laboratory of Environment and Health, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Minghui Jiang
- Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Meian He
- Department of Occupational and Environmental Health, Ministry of Education Key Laboratory of Environment and Health, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Weijia Kong
- Department of Otorhinolaryngology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Tangchun Wu
- Department of Occupational and Environmental Health, Ministry of Education Key Laboratory of Environment and Health, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Xiaomin Zhang
- Department of Occupational and Environmental Health, Ministry of Education Key Laboratory of Environment and Health, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
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Alcala-Diaz JF, Arenas-de Larriva AP, Torres-Peña JD, Rodriguez-Cantalejo F, Rangel-Zuñiga OA, Yubero-Serrano EM, Gutierrez-Mariscal FM, Cardelo MP, Luque RM, Ordovas JM, Perez-Martinez P, Delgado-Lista J, Lopez-Miranda J. A Gene Variation at the ZPR1 Locus (rs964184) Interacts With the Type of Diet to Modulate Postprandial Triglycerides in Patients With Coronary Artery Disease: From the Coronary Diet Intervention With Olive Oil and Cardiovascular Prevention Study. Front Nutr 2022; 9:885256. [PMID: 35782928 PMCID: PMC9247506 DOI: 10.3389/fnut.2022.885256] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2022] [Accepted: 05/09/2022] [Indexed: 11/22/2022] Open
Abstract
Background and Aims rs964184 variant in the ZPR1 gene has been associated with blood lipids levels both in fasting and postprandial state and with the risk of myocardial infarction in high-risk cardiovascular patients. However, whether this association is modulated by diet has not been studied. Objective To investigate whether the type of diet (low-fat or Mediterranean diets) interacts with genetic variability at this loci to modulate fasting and postprandial lipids in coronary patients. Materials and Methods The genotype of the rs964184 polymorphism was determined in the Cordioprev Study population (NCT00924937). Fasting and Postprandial triglycerides were assessed before and after 3 years of dietary intervention with either a Mediterranean or a low-fat diet. Postprandial lipid assessment was done by a 4-h oral fat tolerance test (OFTT). Differences in triglycerides levels were identified using repeated-measures ANCOVA. Results From 523 patients (85% males, mean age 59 years) that completed the OFTT at baseline and after 3 years of intervention and had complete genotype information, 125 of them were carriers of the risk allele G. At the start of the study, these patients showed a higher fasting and postprandial triglycerides (TG) plasma levels. After 3 years of dietary intervention, G-carriers following a Mediterranean Diet maintained higher fasting and postprandial triglycerides, while those on the low-fat diet reduced their postprandial triglycerides to similar values to the population without the G-allele. Conclusion After 3 years of dietary intervention, the altered postprandial triglyceride response induced by genetic variability in the rs964184 polymorphism of the ZPR1 gene can be modulated by a low-fat diet, better than by a Mediterranean diet, in patients with coronary artery disease.
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Affiliation(s)
- Juan F. Alcala-Diaz
- Lipids and Atherosclerosis Unit, Department of Internal Medicine, Maimonides Biomedical Research Institute of Córdoba (IMIBIC), Reina Sofía University Hospital, University of Córdoba, Córdoba, Spain
- Centro de Investigación Biomédica en Red de Fisiología de la Obesidad y Nutricion (CIBERobn), Instituto de Salud Carlos III, Madrid, Spain
| | - Antonio P. Arenas-de Larriva
- Lipids and Atherosclerosis Unit, Department of Internal Medicine, Maimonides Biomedical Research Institute of Córdoba (IMIBIC), Reina Sofía University Hospital, University of Córdoba, Córdoba, Spain
- Centro de Investigación Biomédica en Red de Fisiología de la Obesidad y Nutricion (CIBERobn), Instituto de Salud Carlos III, Madrid, Spain
| | - Jose D. Torres-Peña
- Lipids and Atherosclerosis Unit, Department of Internal Medicine, Maimonides Biomedical Research Institute of Córdoba (IMIBIC), Reina Sofía University Hospital, University of Córdoba, Córdoba, Spain
- Centro de Investigación Biomédica en Red de Fisiología de la Obesidad y Nutricion (CIBERobn), Instituto de Salud Carlos III, Madrid, Spain
| | | | - Oriol A. Rangel-Zuñiga
- Lipids and Atherosclerosis Unit, Department of Internal Medicine, Maimonides Biomedical Research Institute of Córdoba (IMIBIC), Reina Sofía University Hospital, University of Córdoba, Córdoba, Spain
- Centro de Investigación Biomédica en Red de Fisiología de la Obesidad y Nutricion (CIBERobn), Instituto de Salud Carlos III, Madrid, Spain
| | - Elena M. Yubero-Serrano
- Lipids and Atherosclerosis Unit, Department of Internal Medicine, Maimonides Biomedical Research Institute of Córdoba (IMIBIC), Reina Sofía University Hospital, University of Córdoba, Córdoba, Spain
- Centro de Investigación Biomédica en Red de Fisiología de la Obesidad y Nutricion (CIBERobn), Instituto de Salud Carlos III, Madrid, Spain
| | - Francisco M. Gutierrez-Mariscal
- Lipids and Atherosclerosis Unit, Department of Internal Medicine, Maimonides Biomedical Research Institute of Córdoba (IMIBIC), Reina Sofía University Hospital, University of Córdoba, Córdoba, Spain
- Centro de Investigación Biomédica en Red de Fisiología de la Obesidad y Nutricion (CIBERobn), Instituto de Salud Carlos III, Madrid, Spain
| | - Magdalena P. Cardelo
- Lipids and Atherosclerosis Unit, Department of Internal Medicine, Maimonides Biomedical Research Institute of Córdoba (IMIBIC), Reina Sofía University Hospital, University of Córdoba, Córdoba, Spain
- Centro de Investigación Biomédica en Red de Fisiología de la Obesidad y Nutricion (CIBERobn), Instituto de Salud Carlos III, Madrid, Spain
| | - Raul M. Luque
- Department of Cell Biology, Physiology, and Immunology, Maimonides Biomedical Research Institute of Córdoba (IMIBIC), Reina Sofía University Hospital, University of Córdoba, Córdoba, Spain
| | - Jose M. Ordovas
- Jean Mayer USDA Human Nutrition Research Center on Aging, Tufts University, Boston, MA, United States
- Instituto Madrileño de Estudios Avanzados en Alimentación (IMDEA-Food), Madrid, Spain
- International Advisory Board, University Camilo José Cela, Madrid, Spain
| | - Pablo Perez-Martinez
- Lipids and Atherosclerosis Unit, Department of Internal Medicine, Maimonides Biomedical Research Institute of Córdoba (IMIBIC), Reina Sofía University Hospital, University of Córdoba, Córdoba, Spain
- Centro de Investigación Biomédica en Red de Fisiología de la Obesidad y Nutricion (CIBERobn), Instituto de Salud Carlos III, Madrid, Spain
| | - Javier Delgado-Lista
- Lipids and Atherosclerosis Unit, Department of Internal Medicine, Maimonides Biomedical Research Institute of Córdoba (IMIBIC), Reina Sofía University Hospital, University of Córdoba, Córdoba, Spain
- Centro de Investigación Biomédica en Red de Fisiología de la Obesidad y Nutricion (CIBERobn), Instituto de Salud Carlos III, Madrid, Spain
| | - Jose Lopez-Miranda
- Lipids and Atherosclerosis Unit, Department of Internal Medicine, Maimonides Biomedical Research Institute of Córdoba (IMIBIC), Reina Sofía University Hospital, University of Córdoba, Córdoba, Spain
- Centro de Investigación Biomédica en Red de Fisiología de la Obesidad y Nutricion (CIBERobn), Instituto de Salud Carlos III, Madrid, Spain
- *Correspondence: Jose Lopez-Miranda,
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Abstract
This review summarizes the available data about genetic factors which can link ischemic stroke and sleep. Sleep patterns (subjective and objective measures) are characterized by heritability and comprise up to 38-46%. According to Mendelian randomization analysis, genetic liability for short sleep duration and frequent insomnia symptoms is associated with ischemic stroke (predominantly of large artery subtype). The potential genetic links include variants of circadian genes, genes encoding components of neurotransmitter systems, common cardiovascular risk factors, as well as specific genetic factors related to certain sleep disorders.
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Affiliation(s)
- Lyudmila Korostovtseva
- Sleep Laboratory, Research Department for Hypertension, Department for Cardiology, Almazov National Medical Research Centre, 2 Akkuratov Str., Saint Petersburg, 197341, Russia.
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Shen M, Xu X, Liu X, Wang Q, Li W, You X, Peng R, Yuan Y, Long P, Niu R, Yang H, Cheng X, Pan A, Tanguay RM, Zhang X, He M, Wang C, Liang L, Wu T. Prospective Study on Plasma MicroRNA-4286 and Incident Acute Coronary Syndrome. J Am Heart Assoc 2021; 10:e018999. [PMID: 33719498 PMCID: PMC8174203 DOI: 10.1161/jaha.120.018999] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
Background Mounting evidence suggests that circulating microRNAs (miRNAs) are critical indicators of cardiovascular disease. However, prospective studies linking circulating miRNAs to incident acute coronary syndrome (ACS) are limited, and the underlying effect of associated miRNA on incident ACS remains unknown. Methods and Results Based on a 2-stage prospective nested case-control design within the Dongfeng-Tongji cohort, we profiled plasma miRNAs from 23 pairs of incident ACS cases and controls by microarray and validated the candidate miRNAs in 572 incident ACS case-control pairs using quantitative real-time polymerase chain reaction. We observed that plasma miR-4286 was associated with higher risk of ACS (adjusted odds ratio according to an interquartile range increase, 1.26 [95% CI, 1.07-1.48]). Further association analysis revealed that triglyceride was positively associated with plasma miR-4286, and an interquartile range increase in triglyceride was associated with an 11.04% (95% CI, 3.77%-18.83%) increase in plasma miR-4286. In addition, the Mendelian randomization analysis suggested a potential causal effect of triglyceride on plasma miR-4286 (β coefficients: 0.27 [95% CI, 0.01-0.53] and 0.27 [95% CI, 0.07-0.47] separately by inverse variance-weighted and Mendelian randomization-pleiotropy residual sum and outlier tests). Moreover, the causal mediation analysis indicated that plasma miR-4286 explained 5.5% (95% CI, 0.7%-17.0%) of the association of triglyceride with incident ACS. Conclusions Higher level of plasma miR-4286 was associated with an increased risk of ACS. The upregulated miR-4286 in plasma can be attributed to higher triglyceride level and may mediate the effect of triglyceride on incident ACS.
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Affiliation(s)
- Miaoyan Shen
- Department of Occupational and Environmental Health Key Laboratory of Environment and Health Ministry of Education and State Key Laboratory of Environmental Health (Incubating) School of Public Health Tongji Medical CollegeHuazhong University of Science and Technology Wuhan China
| | - Xuedan Xu
- Department of Occupational and Environmental Health Key Laboratory of Environment and Health Ministry of Education and State Key Laboratory of Environmental Health (Incubating) School of Public Health Tongji Medical CollegeHuazhong University of Science and Technology Wuhan China
| | - Xuezhen Liu
- Department of Occupational and Environmental Health Key Laboratory of Environment and Health Ministry of Education and State Key Laboratory of Environmental Health (Incubating) School of Public Health Tongji Medical CollegeHuazhong University of Science and Technology Wuhan China
| | - Qiuhong Wang
- Department of Occupational and Environmental Health Key Laboratory of Environment and Health Ministry of Education and State Key Laboratory of Environmental Health (Incubating) School of Public Health Tongji Medical CollegeHuazhong University of Science and Technology Wuhan China
| | - Wending Li
- Department of Occupational and Environmental Health Key Laboratory of Environment and Health Ministry of Education and State Key Laboratory of Environmental Health (Incubating) School of Public Health Tongji Medical CollegeHuazhong University of Science and Technology Wuhan China
| | - Xiaomin You
- Department of Occupational and Environmental Health Key Laboratory of Environment and Health Ministry of Education and State Key Laboratory of Environmental Health (Incubating) School of Public Health Tongji Medical CollegeHuazhong University of Science and Technology Wuhan China
| | - Rong Peng
- Department of Occupational and Environmental Health Key Laboratory of Environment and Health Ministry of Education and State Key Laboratory of Environmental Health (Incubating) School of Public Health Tongji Medical CollegeHuazhong University of Science and Technology Wuhan China
| | - Yu Yuan
- Department of Occupational and Environmental Health Key Laboratory of Environment and Health Ministry of Education and State Key Laboratory of Environmental Health (Incubating) School of Public Health Tongji Medical CollegeHuazhong University of Science and Technology Wuhan China
| | - Pinpin Long
- Department of Occupational and Environmental Health Key Laboratory of Environment and Health Ministry of Education and State Key Laboratory of Environmental Health (Incubating) School of Public Health Tongji Medical CollegeHuazhong University of Science and Technology Wuhan China
| | - Rundong Niu
- Department of Occupational and Environmental Health Key Laboratory of Environment and Health Ministry of Education and State Key Laboratory of Environmental Health (Incubating) School of Public Health Tongji Medical CollegeHuazhong University of Science and Technology Wuhan China
| | - Handong Yang
- Department of Cardiovascular Diseases Sinopharm Dongfeng General HospitalHubei University of Medicine Shiyan China
| | - Xiang Cheng
- Laboratory of Cardiovascular Immunology Department of Cardiology Union HospitalTongji Medical CollegeHuazhong University of Science and Technology Wuhan China
| | - An Pan
- Department of Epidemiology and Biostatistics School of Public Health Tongji Medical CollegeHuazhong University of Science and Technology Wuhan China
| | - Robert M Tanguay
- Laboratory of Cellular and Developmental Genetics Department of Molecular Biology, Medical Biochemistry and Pathology Faculty of Medicine IBIS and PROTEOUniversité Laval Québec Canada
| | - Xiaomin Zhang
- Department of Occupational and Environmental Health Key Laboratory of Environment and Health Ministry of Education and State Key Laboratory of Environmental Health (Incubating) School of Public Health Tongji Medical CollegeHuazhong University of Science and Technology Wuhan China
| | - Meian He
- Department of Occupational and Environmental Health Key Laboratory of Environment and Health Ministry of Education and State Key Laboratory of Environmental Health (Incubating) School of Public Health Tongji Medical CollegeHuazhong University of Science and Technology Wuhan China
| | - Chaolong Wang
- Department of Epidemiology and Biostatistics School of Public Health Tongji Medical CollegeHuazhong University of Science and Technology Wuhan China
| | - Liming Liang
- Department of Biostatistics and Department of Epidemiology Harvard T.H. Chan School of Public Health Boston MA
| | - Tangchun Wu
- Department of Occupational and Environmental Health Key Laboratory of Environment and Health Ministry of Education and State Key Laboratory of Environmental Health (Incubating) School of Public Health Tongji Medical CollegeHuazhong University of Science and Technology Wuhan China
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Korostovtseva L, Alieva A, Rotar O, Bochkarev M, Boyarinova M, Sviryaev Y, Konradi A, Shlyakhto E. Sleep Duration, Lipid Profile and Insulin Resistance: Potential Role of Lipoprotein(a). Int J Mol Sci 2020; 21:E4680. [PMID: 32630105 PMCID: PMC7369827 DOI: 10.3390/ijms21134680] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2020] [Revised: 06/22/2020] [Accepted: 06/28/2020] [Indexed: 11/29/2022] Open
Abstract
Lipoprotein (a) (Lp(a)) is considered a genetic factor for cardiovascular disease playing an important role in atherogenesis and thrombosis, but the evidence about its association with sleep duration is controversial. We evaluated the relation between self-reported sleep duration and Lp(a). Among 1600 participants of the population-based sample, we selected 1427 subjects without previously known cardiovascular events, who answered the questions about their sleep duration; had valid lipid profile results (total cholesterol, low- and high-density lipoproteins, Lp(a), apolipoprotein AI (ApoAI), ApoB, and ApoB/ApoAI); and did not take lipid-lowering drugs (mean age 46 ± 12 years). We performed a structured interview, which included questions about lifestyle, medical history, complaints, and sleep duration (How long have you been sleeping per night during the last month?). Sleep duration was classified as follows: <6 h/night-short, 6-9 h/night-normal, and ≥10 h/night-long. Overall, 73 respondents (5.2%) were short-sleepers and 69 (4.8%) long-sleepers. Males were slightly more prevalent among short-sleepers. The groups matched by age, body mass index, blood pressure, diabetes mellitus, and hypertension rate. Short-sleepers had lower rates of high total cholesterol (≥5.0 mmol/L), lower Lp(a) levels and lower rates of increased Lp(a) ≥0.5 g/L, and higher insulin and insulin resistance (assessed by the homeostatic model assessment for insulin resistance (HOMA-IR)). ApoAI, ApoB, their ratio, and other lab tests were similar in the groups. The multinomial logistic regression demonstrated that only the short sleep duration was independently (odds ratio (OR) 0.29, 95% confidence interval (CI) (0.09-0.91), p = 0.033) associated with Lp(a) (χ2 = 41.58, p = 0.003). Other influencing factors were smoking and HOMA-IR. Such an association was not found for long-sleepers. In conclusion, a short-sleep duration is associated with Lp(a). The latter might mediate the higher insulin resistance and higher cardiometabolic risks in short-sleepers.
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Affiliation(s)
- Lyudmila Korostovtseva
- Almazov National Medical Research Centre, St Petersburg 197341, Russia; (A.A.); (O.R.); (M.B.); (M.B.); (Y.S.); (A.K.); (E.S.)
| | - Asiiat Alieva
- Almazov National Medical Research Centre, St Petersburg 197341, Russia; (A.A.); (O.R.); (M.B.); (M.B.); (Y.S.); (A.K.); (E.S.)
| | - Oxana Rotar
- Almazov National Medical Research Centre, St Petersburg 197341, Russia; (A.A.); (O.R.); (M.B.); (M.B.); (Y.S.); (A.K.); (E.S.)
| | - Mikhail Bochkarev
- Almazov National Medical Research Centre, St Petersburg 197341, Russia; (A.A.); (O.R.); (M.B.); (M.B.); (Y.S.); (A.K.); (E.S.)
| | - Maria Boyarinova
- Almazov National Medical Research Centre, St Petersburg 197341, Russia; (A.A.); (O.R.); (M.B.); (M.B.); (Y.S.); (A.K.); (E.S.)
| | - Yurii Sviryaev
- Almazov National Medical Research Centre, St Petersburg 197341, Russia; (A.A.); (O.R.); (M.B.); (M.B.); (Y.S.); (A.K.); (E.S.)
- Sechenov Institute of Evolutionary Physiology and Biochemistry of RAS, St Petersburg 194223, Russia
| | - Aleksandra Konradi
- Almazov National Medical Research Centre, St Petersburg 197341, Russia; (A.A.); (O.R.); (M.B.); (M.B.); (Y.S.); (A.K.); (E.S.)
- Institute of Translational Medicine, ITMO University, St Petersburg 197101, Russia
| | - Eugene Shlyakhto
- Almazov National Medical Research Centre, St Petersburg 197341, Russia; (A.A.); (O.R.); (M.B.); (M.B.); (Y.S.); (A.K.); (E.S.)
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