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Wei A, Border R, Fu B, Cullina S, Brandes N, Jang SK, Sankararaman S, Kenny E, Udler MS, Ntranos V, Zaitlen N, Arboleda V. Investigating the sources of variable impact of pathogenic variants in monogenic metabolic conditions. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2023.09.14.23295564. [PMID: 37745486 PMCID: PMC10516069 DOI: 10.1101/2023.09.14.23295564] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/26/2023]
Abstract
Over three percent of people carry a dominant pathogenic variant, yet only a fraction of carriers develop disease. Disease phenotypes from carriers of variants in the same gene range from mild to severe. Here, we investigate underlying mechanisms for this heterogeneity: variable variant effect sizes, carrier polygenic backgrounds, and modulation of carrier effect by genetic background (marginal epistasis). We leveraged exomes and clinical phenotypes from the UK Biobank and the Mt. Sinai BioMe Biobank to identify carriers of pathogenic variants affecting cardiometabolic traits. We employed recently developed methods to study these cohorts, observing strong statistical support and clinical translational potential for all three mechanisms of variable carrier penetrance and disease severity. For example, scores from our recent model of variant pathogenicity were tightly correlated with phenotype amongst clinical variant carriers, they predicted effects of variants of unknown significance, and they distinguished gain- from loss-of-function variants. We also found that polygenic scores predicted phenotypes amongst pathogenic carriers and that epistatic effects can exceed main carrier effects by an order of magnitude.
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Stanesby O, Armstrong MK, Otahal P, Goode JP, Fraser BJ, Negishi K, Kidokoro T, Winzenberg T, Juonala M, Wu F, Kelly RK, Xi B, Viikari JSA, Raitakari OT, Daniels SR, Tomkinson GR, Magnussen CG. Tracking of serum lipid levels from childhood to adulthood: Systematic review and meta-analysis. Atherosclerosis 2024; 391:117482. [PMID: 38569384 DOI: 10.1016/j.atherosclerosis.2024.117482] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/12/2023] [Revised: 02/15/2024] [Accepted: 02/15/2024] [Indexed: 04/05/2024]
Abstract
BACKGROUND AND AIMS The utility of lipid screening in pediatric settings for preventing adult atherosclerotic cardiovascular diseases partly depends on the lifelong tracking of lipid levels. This systematic review aimed to quantify the tracking of lipid levels from childhood and adolescence to adulthood. METHODS We systematically searched MEDLINE, Embase, Web of Science, and Google Scholar in March 2022. The protocol was registered with the International Prospective Register of Systematic Reviews (PROSPERO; ID: CRD42020208859). We included cohort studies that measured tracking of lipids from childhood or adolescence (<18 years) to adulthood (≥18) with correlation or tracking coefficients. We estimated pooled correlation and tracking coefficients using random-effects meta-analysis. Risk of bias was assessed with a review-specific tool. RESULTS Thirty-three studies of 19 cohorts (11,020 participants) were included. The degree of tracking from childhood and adolescence to adulthood differed among lipids. Tracking was observed for low-density lipoprotein cholesterol (pooled r = 0.55-0.65), total cholesterol (pooled r = 0.51-0.65), high-density lipoprotein cholesterol (pooled r = 0.46-0.57), and triglycerides (pooled r = 0.32-0.40). Only one study included tracking of non-high-density lipoprotein cholesterol (r = 0.42-0.59). Substantial heterogeneity was observed. Study risk of bias was moderate, mostly due to insufficient reporting and singular measurements at baseline and follow-up. CONCLUSIONS Early-life lipid measurements are important for predicting adult levels. However, further research is needed to understand the tracking of non-high-density lipoprotein cholesterol and the stability of risk classification over time, which may further inform pediatric lipid screening and assessment strategies.
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Affiliation(s)
- Oliver Stanesby
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Australia; Baker Heart and Diabetes Institute, Melbourne, Australia
| | | | - Petr Otahal
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Australia
| | - James P Goode
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Australia
| | - Brooklyn J Fraser
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Australia; Alliance for Research in Exercise, Nutrition and Activity (ARENA), Allied Health and Human Performance, University of South Australia, Adelaide, Australia
| | - Kazuaki Negishi
- Sydney Medical School Nepean, Faculty of Medicine and Health, Charles Perkins Centre Nepean, The University of Sydney, Sydney, Australia; Nepean Hospital, Sydney, Australia
| | - Tetsuhiro Kidokoro
- Alliance for Research in Exercise, Nutrition and Activity (ARENA), Allied Health and Human Performance, University of South Australia, Adelaide, Australia; Faculty of Sport Science, Nippon Sport Science University, Tokyo, Japan
| | - Tania Winzenberg
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Australia
| | - Markus Juonala
- Department of Medicine, University of Turku, Turku, Finland; Division of Medicine, Turku University Hospital, Turku, Finland
| | - Feitong Wu
- Baker Heart and Diabetes Institute, Melbourne, Australia; Baker Department of Cardiometabolic Health, Faculty of Medicine, Dentistry and Health Sciences, University of Melbourne, Melbourne, Australia
| | - Rebecca K Kelly
- School of Medicine, University of Tasmania, Hobart, Australia
| | - Bo Xi
- Department of Epidemiology, School of Public Health/Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Jorma S A Viikari
- Department of Medicine, University of Turku, Turku, Finland; Division of Medicine, Turku University Hospital, Turku, Finland
| | - Olli T Raitakari
- Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland; Centre for Population Health Research, University of Turku and Turku University Hospital, Turku, Finland; Department of Clinical Physiology and Nuclear Medicine, Turku University Hospital, Turku, Finland
| | - Stephen R Daniels
- Department of Pediatrics, University of Colorado School of Medicine, Aurora, CO, USA
| | - Grant R Tomkinson
- Alliance for Research in Exercise, Nutrition and Activity (ARENA), Allied Health and Human Performance, University of South Australia, Adelaide, Australia
| | - Costan G Magnussen
- Baker Heart and Diabetes Institute, Melbourne, Australia; Alliance for Research in Exercise, Nutrition and Activity (ARENA), Allied Health and Human Performance, University of South Australia, Adelaide, Australia; Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland; Centre for Population Health Research, University of Turku and Turku University Hospital, Turku, Finland.
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Nammi JY, Pasala R, Kotaru S, Bandikolla SS, Andhe N, Gouravaram PR. Cardiovascular Disease Prevalence in Asians Versus Americans: A Review of Genetics, Diet, and the Call for Enhanced Prevention and Screening. Cureus 2024; 16:e58361. [PMID: 38756312 PMCID: PMC11096806 DOI: 10.7759/cureus.58361] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/16/2024] [Indexed: 05/18/2024] Open
Abstract
Cardiovascular disease (CVD) continues to pose a global health challenge, demonstrating significant disparities in occurrence among various populations. A wide number of research studies have indicated a higher prevalence of cardiovascular disease in South Asian immigrants compared to the local American population. The demand to improve the cardiovascular benefits of immigrants is increasing, which calls for further research with larger and more diverse population samples. This study will investigate the major causes of this variation, which include genetically diverse characteristics and changes in nutritional status among the study population groups. To assess the increase in the prevalence of cardiovascular disease among South Asian populations compared to the US population, a narrative review of accessible data is carried out. The data in support of the present document are from the Centre for Disease Prevention and Control, Statistics for Heart Diseases and Stroke 2023, a trend analysis about incidences of cardiac diseases and global burden in 2017, all dating back to the last two decades. Relevant articles from PubMed and Google Scholar have also been included, as appropriate, and their references are provided wherever necessary. Graphs for the geographical variations in disease incidence are produced using Microsoft Excel (Microsoft® Corp., Redmond, WA). The review shows that there is a significant decline in the prevalence of CVD among American citizens when compared to the steady increase in the number of cases among South Asians, which is attributed to the unique genetic predisposition of South Asians to be more prone to CVDs. The changing dietary habits also play an important role in the fall in HDL levels in South Asians when compared to Americans. This is driven by genetic disparities, including the APOA1 and APOA2 genes, and nutritional disparities, including variance in quality and quantity of dietary consumption. Addressing the escalating cases of CVD among South Asians necessitates additional research to enhance proactive preventive measures and implement screening programs specifically tailored to address prevalent risk factors within the population.
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Affiliation(s)
| | | | | | | | - Nikhil Andhe
- Medicine, Siddhartha Medical College, Vijayawada, IND
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4
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Sun Y, Qi X, Wang X, Lin X, Zhou Y, Du Y, Liu A, Lv X, Zhou J, Li Z, Wu X, Zou Z, Zhang M, Zhu J, Shang F, Li Y, Li H. Association between high-density lipoprotein cholesterol and lumbar bone mineral density in Chinese: a large cross-sectional study. Lipids Health Dis 2024; 23:27. [PMID: 38267987 PMCID: PMC10807139 DOI: 10.1186/s12944-024-02023-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2023] [Accepted: 01/17/2024] [Indexed: 01/26/2024] Open
Abstract
BACKGROUND The association between lipid and bone metabolism, particularly the role of high-density lipoprotein cholesterol (HDL-C) in regulating bone mineral density (BMD), is of significant interest. Despite numerous studies, findings on this relationship remain inconclusive, especially since evidence from large, sexually diverse Chinese populations is sparse. This study, therefore, investigates the correlation between HDL-C and lumbar BMD in people of different genders using extensive population-based data from physical examinations conducted in China. METHODS Data from a cross-sectional survey involving 20,351 individuals aged > = 20 years drawn from medical records of health check-ups at the Health Management Centre of the Henan Provincial People's Hospital formed the basis of this study. The primary objective was to determine the correlation between HDL-C levels and lumbar BMD across genders. The analysis methodology included demographic data analysis, one-way ANOVA, subgroup analyses, multifactorial regression equations, smoothed curve fitting, and threshold and saturation effect analyses. RESULTS Multifactorial regression analysis revealed a significant inverse relationship between HDL-C levels and lumbar BMD in both sexes, controlling for potential confounders (Male: β = -8.77, 95% CI -11.65 to -5.88, P < 0.001; Female: β = -4.77, 95% CI -8.63 to -0.90, P = 0.015). Subgroup and threshold saturation effect analyses indicated a stronger association in males, showing that increased HDL-C correlates with reduced lumbar BMD irrespective of age and body mass index (BMI). The most significant effect was observed in males with BMI > 28 kg/m2 and HDL-C > 1.45 mmol/L and in females with a BMI between 24 and 28 kg/m2. CONCLUSION Elevated HDL-C is associated with decreased bone mass, particularly in obese males. These findings indicate that individuals with high HDL-C levels should receive careful clinical monitoring to mitigate osteoporosis risk. TRIAL REGISTRATION The research protocol received ethics approval from the Ethics Committee at Beijing Jishuitan Hospital, in conformity with the Declaration of Helsinki guidelines (No. 2015-12-02). These data are a contribution of the China Health Quantitative CT Big Data Research team, registered at clinicaltrials.gov (code: NCT03699228).
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Affiliation(s)
- Yongbing Sun
- Department of Medical Imaging, People's Hospital of Zhengzhou University, #7 Wei Wu Road, Zhengzhou, Henan, 450003, China
| | - Xin Qi
- Department of Medical Imaging, Henan Provincial People's Hospital, Xinxiang Medical College, Zhengzhou, Henan, 450003, China
| | - Xuan Wang
- Department of Medical Imaging, The Third Affiliated Hospital of Zhengzhou University, #7 Kungfu Street, Zhengzhou, Henan, 450052, China
| | - Xinbei Lin
- Department of Medical Imaging, People's Hospital of Zhengzhou University, #7 Wei Wu Road, Zhengzhou, Henan, 450003, China
| | - Yang Zhou
- Department of Medical Imaging, People's Hospital of Zhengzhou University, #7 Wei Wu Road, Zhengzhou, Henan, 450003, China
| | - Yawei Du
- Department of Medical Imaging, Henan Provincial People's Hospital, Henan University People's Hospital, Zhengzhou, Henan, 450003, China
| | - Ao Liu
- Department of Medical Imaging, People's Hospital of Zhengzhou University, #7 Wei Wu Road, Zhengzhou, Henan, 450003, China
| | - Xue Lv
- Henan Provincial People's Hospital, Zhengzhou, Henan, 450003, China
| | - Jing Zhou
- Department of Health Management, Chronic Health Management Laboratory, Henan Provincial People's Hospital, Zhengzhou, Henan, 450003, China
| | - Zhonglin Li
- Department of Medical Imaging, People's Hospital of Zhengzhou University, #7 Wei Wu Road, Zhengzhou, Henan, 450003, China
| | - Xiaoling Wu
- Department of Nuclear Medicine, Henan Provincial People's Hospital, Zhengzhou, Henan, 450003, China
| | - Zhi Zou
- Department of Medical Imaging, People's Hospital of Zhengzhou University, #7 Wei Wu Road, Zhengzhou, Henan, 450003, China
| | - Michael Zhang
- Sevenoaks Health Management Center, Canada-Canada Institute of Health Engineering, University of Manitoba, Winnipeg, Canada
| | - Jiadong Zhu
- Department of Health Management, Chronic Health Management Laboratory, Henan Provincial People's Hospital, Zhengzhou, Henan, 450003, China
| | - Feifei Shang
- Department of Health Management, Chronic Health Management Laboratory, Henan Provincial People's Hospital, Zhengzhou, Henan, 450003, China
| | - Yongli Li
- Department of Health Management, Chronic Health Management Laboratory, Henan Provincial People's Hospital, Zhengzhou, Henan, 450003, China.
| | - Hao Li
- Fuwaihua Central Vascular Disease Hospital, #1 Fuwai Avenue, Zhengzhou, Henan, 451464, China.
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Bodaghi AB, Ebadi E, Gholami MJ, Azizi R, Shariati A. A decreased level of high-density lipoprotein is a possible risk factor for type 2 diabetes mellitus: A review. Health Sci Rep 2023; 6:e1779. [PMID: 38125279 PMCID: PMC10731824 DOI: 10.1002/hsr2.1779] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2023] [Revised: 10/19/2023] [Accepted: 12/04/2023] [Indexed: 12/23/2023] Open
Abstract
Introduction Type 2 diabetes mellitus (T2DM) is characterized primarily by dyslipidemia and hyperglycemia due to insulin resistance. High-density lipoprotein (HDL) play a significant role in preventing the incidence of dyslipidemia and its complications. HDL has different protective functions, such as reducing oxidation, vascular inflammation, and thrombosis; additionally, its anti-diabetic role is one of the most significant recent discoveries about HDL and some of its constituent lipoproteins. Methods This research reviews ongoing studies and preliminary investigations into the assessment of relation between decreased level of HDL and T2DM. Results The levels of HDL and its functions contribute to glucose hemostasis and the development of T2DM through four possible mechanisms, including insulin secretion by beta cells, peripheral insulin sensitivity, non-insulin-dependent glucose uptake, and adipose tissue metabolic activity. Additionally, the anti-oxidant properties of HDL protect beta cells from apoptosis caused by oxidative stress and inflammation induced by low-density lipoprotein, which facilitate insulin secretion. Conclusion Therefore, HDL and its compositions, especially Apo A-I, play an important role in regulating glucose metabolism, and decreased levels of HDL can be considered a risk factor for DM. Different factors, such as hypoalphalipoproteinemia that manifests as a consequence of genetic factors, such as Apo A-I deficiency, as well as secondary causes arising from lifestyle choices and underlying medical conditions that decrease the level of HDL, could be associated with DM. Moreover, intricate connections between HDL and diabetic complications extend beyond glucose metabolism to encompass complications like cardiovascular disease and kidney disease. Therefore, the exact interactions between HDL level and DM should be evaluated in future studies.
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Affiliation(s)
- Ali Bayat Bodaghi
- Student Research CommitteeKhomein University of Medical SciencesKhomeinIran
- Molecular and Medicine Research CentreKhomein University of Medical SciencesKhomeinIran
| | - Erfan Ebadi
- Student Research CommitteeKhomein University of Medical SciencesKhomeinIran
- Molecular and Medicine Research CentreKhomein University of Medical SciencesKhomeinIran
| | - Mohammad Javad Gholami
- Student Research CommitteeKhomein University of Medical SciencesKhomeinIran
- Molecular and Medicine Research CentreKhomein University of Medical SciencesKhomeinIran
| | - Reza Azizi
- Molecular and Medicine Research CentreKhomein University of Medical SciencesKhomeinIran
| | - Aref Shariati
- Molecular and Medicine Research CentreKhomein University of Medical SciencesKhomeinIran
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Razavi AC, Mehta A, Jain V, Patel P, Liu C, Patel N, Eisenberg S, Vaccarino V, Isiadinso I, Sperling LS, Quyyumi AA. High-Density Lipoprotein Cholesterol in Atherosclerotic Cardiovascular Disease Risk Assessment: Exploring and Explaining the "U"-Shaped Curve. Curr Cardiol Rep 2023; 25:1725-1733. [PMID: 37971636 PMCID: PMC10898346 DOI: 10.1007/s11886-023-01987-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 10/19/2023] [Indexed: 11/19/2023]
Abstract
PURPOSE OF REVIEW Review updates for the association of HDL-cholesterol with atherosclerotic cardiovascular disease (ASCVD) and discuss the approach to incorporating HDL-cholesterol within risk assessment. RECENT FINDINGS There is a U-shaped relationship between HDL-cholesterol and ASCVD. Both low HDL-cholesterol (< 40 mg/dL in men, < 50 mg/dL in women) and very-high HDL-cholesterol (≥ 80 mg/dL in men) are associated with a higher risk of all-cause and ASCVD mortality, independent from traditional risk factors. There has been inconsistency for the association between very-high HDL-cholesterol and mortality outcomes in women. It is uncertain whether HDL-cholesterol is a causal ASCVD risk factor, especially due to mixed results from Mendelian randomization studies and the collinearity of HDL-cholesterol with established risk factors, lifestyle behaviors, and socioeconomic status. HDL-cholesterol is a risk factor or risk enhancer in primary prevention and high-risk condition in secondary prevention when either low (men and women) or very-high (men). The contribution of HDL-cholesterol to ASCVD risk calculators should reflect its observed U-shaped association with all-cause and ASCVD mortality.
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Affiliation(s)
- Alexander C Razavi
- Division of Cardiology, Department of Medicine, Emory Clinical Cardiovascular Research Institute, Emory University School of Medicine, Atlanta, GA, USA
| | - Anurag Mehta
- Virginia Commonwealth University Health Pauley Heart Center, Virginia Commonwealth University School of Medicine, Richmond, VA, USA
| | - Vardhmaan Jain
- Division of Cardiology, Department of Medicine, Emory Clinical Cardiovascular Research Institute, Emory University School of Medicine, Atlanta, GA, USA
| | - Parth Patel
- Division of Cardiology, Department of Medicine, Emory Clinical Cardiovascular Research Institute, Emory University School of Medicine, Atlanta, GA, USA
| | - Chang Liu
- Division of Cardiology, Department of Medicine, Emory Clinical Cardiovascular Research Institute, Emory University School of Medicine, Atlanta, GA, USA
| | - Nidhi Patel
- Division of Cardiology, Department of Medicine, Emory Clinical Cardiovascular Research Institute, Emory University School of Medicine, Atlanta, GA, USA
| | - Scott Eisenberg
- Division of Cardiology, Department of Medicine, Emory Clinical Cardiovascular Research Institute, Emory University School of Medicine, Atlanta, GA, USA
| | - Viola Vaccarino
- Division of Cardiology, Department of Medicine, Emory Clinical Cardiovascular Research Institute, Emory University School of Medicine, Atlanta, GA, USA
| | - Ijeoma Isiadinso
- Division of Cardiology, Department of Medicine, Emory Clinical Cardiovascular Research Institute, Emory University School of Medicine, Atlanta, GA, USA
| | - Laurence S Sperling
- Division of Cardiology, Department of Medicine, Emory Clinical Cardiovascular Research Institute, Emory University School of Medicine, Atlanta, GA, USA
| | - Arshed A Quyyumi
- Division of Cardiology, Department of Medicine, Emory Clinical Cardiovascular Research Institute, Emory University School of Medicine, Atlanta, GA, USA.
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Luna-Castillo KP, López-Quintero A, Carrera-Quintanar L, Llamas-Covarrubias IM, Muñoz-Valle JF, Márquez-Sandoval F. The Influence of Lifestyle on High-Density Lipoprotein Concentration among Mexican Emerging Adults. Nutrients 2023; 15:4568. [PMID: 37960221 PMCID: PMC10649881 DOI: 10.3390/nu15214568] [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: 08/31/2023] [Revised: 10/21/2023] [Accepted: 10/25/2023] [Indexed: 11/15/2023] Open
Abstract
Previous studies have highlighted the role of lifestyle on HDL-C concentrations in adults. To our knowledge, the health and nutritional status of emerging adults have been understudied. The present study aimed to explore the most important lifestyle factors, including micronutrient intake adequacy and the percentage of energy from food processing, according to HDL-C concentrations in emerging adults. In this context, a cross-sectional analysis was conducted on 261 Mexican emerging adults who were apparently healthy. Lifestyle factors were collected through a structured survey and the prevalence of micronutrient intake inadequacy was estimated using the estimated average requirement cut-point method. The percentage of energy from ultra-processed foods was assessed using the NOVA system. HDL-C was determined using the enzymatic colorimetric method. Statistical analyses were conducted in SPSS. The results revealed that lifestyle factors do not differ according to HDL-C status. The participants showed a poor nutritional diet that was energy-dense and micronutrient-inadequate. Nearly half of their energy came from processed and ultra-processed foods. Most participants did not meet the recommendations for key nutrients (ϖ3 fatty acids and phytosterols) that promote a healthy lipid status. In conclusion, regardless of their HDL-C levels, emerging adults exhibited lifestyle-related risk factors. The persistence of these findings over time could contribute to the development of metabolic disorders in the future. It is crucial to increase understanding and to develop effective nutritional interventions during this critical phase of life.
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Affiliation(s)
- Karla Paulina Luna-Castillo
- Doctorado en Ciencias de la Nutrición Traslacional (DCNT), Departamento de Clínicas de la Reproducción Humana, Crecimiento y Desarrollo Infantil, Centro Universitario de Ciencias de la Salud (CUCS), Universidad de Guadalajara (UdeG), Guadalajara 44340, Jalisco, Mexico; (K.P.L.-C.); (L.C.-Q.); (I.M.L.-C.); (J.F.M.-V.)
- Instituto de Nutrigenética y Nutrigenómica Traslacional (INNUGET), Centro Universitario de Ciencias de la Salud (CUCS), Universidad de Guadalajara (UdeG), Guadalajara 44340, Jalisco, Mexico
| | - Andres López-Quintero
- Doctorado en Ciencias de la Nutrición Traslacional (DCNT), Departamento de Clínicas de la Reproducción Humana, Crecimiento y Desarrollo Infantil, Centro Universitario de Ciencias de la Salud (CUCS), Universidad de Guadalajara (UdeG), Guadalajara 44340, Jalisco, Mexico; (K.P.L.-C.); (L.C.-Q.); (I.M.L.-C.); (J.F.M.-V.)
- Instituto de Nutrigenética y Nutrigenómica Traslacional (INNUGET), Centro Universitario de Ciencias de la Salud (CUCS), Universidad de Guadalajara (UdeG), Guadalajara 44340, Jalisco, Mexico
| | - Lucrecia Carrera-Quintanar
- Doctorado en Ciencias de la Nutrición Traslacional (DCNT), Departamento de Clínicas de la Reproducción Humana, Crecimiento y Desarrollo Infantil, Centro Universitario de Ciencias de la Salud (CUCS), Universidad de Guadalajara (UdeG), Guadalajara 44340, Jalisco, Mexico; (K.P.L.-C.); (L.C.-Q.); (I.M.L.-C.); (J.F.M.-V.)
- Instituto de Investigación en Cáncer en la Infancia y Adolescencia (INICIA), Centro Universitario de Ciencias de la Salud (CUCS), Universidad de Guadalajara (UdeG), Guadalajara 44340, Jalisco, Mexico
| | - Iris Monserrat Llamas-Covarrubias
- Doctorado en Ciencias de la Nutrición Traslacional (DCNT), Departamento de Clínicas de la Reproducción Humana, Crecimiento y Desarrollo Infantil, Centro Universitario de Ciencias de la Salud (CUCS), Universidad de Guadalajara (UdeG), Guadalajara 44340, Jalisco, Mexico; (K.P.L.-C.); (L.C.-Q.); (I.M.L.-C.); (J.F.M.-V.)
- Instituto de Nutrigenética y Nutrigenómica Traslacional (INNUGET), Centro Universitario de Ciencias de la Salud (CUCS), Universidad de Guadalajara (UdeG), Guadalajara 44340, Jalisco, Mexico
| | - José Francisco Muñoz-Valle
- Doctorado en Ciencias de la Nutrición Traslacional (DCNT), Departamento de Clínicas de la Reproducción Humana, Crecimiento y Desarrollo Infantil, Centro Universitario de Ciencias de la Salud (CUCS), Universidad de Guadalajara (UdeG), Guadalajara 44340, Jalisco, Mexico; (K.P.L.-C.); (L.C.-Q.); (I.M.L.-C.); (J.F.M.-V.)
- Instituto de Investigación en Ciencias Biomédicas (IICB), Centro Universitario de Ciencias de la Salud (CUCS), Universidad de Guadalajara (UdeG), Guadalajara 44340, Jalisco, Mexico
| | - Fabiola Márquez-Sandoval
- Doctorado en Ciencias de la Nutrición Traslacional (DCNT), Departamento de Clínicas de la Reproducción Humana, Crecimiento y Desarrollo Infantil, Centro Universitario de Ciencias de la Salud (CUCS), Universidad de Guadalajara (UdeG), Guadalajara 44340, Jalisco, Mexico; (K.P.L.-C.); (L.C.-Q.); (I.M.L.-C.); (J.F.M.-V.)
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8
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Zhu Z, Liu Q, Li M, Yao Y, Qi F, Xu Y, Lu S, Yang Z, Guan Y, Li MD, Yao J. Determination of genetic correlation between tobacco smoking and coronary artery disease. Front Psychiatry 2023; 14:1279962. [PMID: 37822793 PMCID: PMC10562694 DOI: 10.3389/fpsyt.2023.1279962] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/19/2023] [Accepted: 09/13/2023] [Indexed: 10/13/2023] Open
Abstract
Backgrounds Tobacco smoking is an important risk factor for coronary artery disease (CAD), but the genetic mechanisms linking smoking to CAD remain largely unknown. Methods We analyzed summary data from the genome-wide association study (GWAS) of the UK Biobank for CAD, plasma lipid concentrations (n = 184,305), and smoking (n = 337,030) using different biostatistical methods, which included LD score regression and Mendelian randomization (MR). Results We identified SNPs shared by CAD and at least one smoking behavior, the genes where these SNPs are located were found to be significantly enriched in the processes related to lipoprotein metabolic, chylomicron-mediated lipid transport, lipid digestion, mobilization, and transport. The MR analysis revealed a positive correlation between smoking cessation and decreased risk for CAD when smoking cessation was considered as exposure (p = 0.001), and a negative correlation between the increased risk for CAD and smoking cessation when CAD was considered as exposure (p = 2.95E-08). This analysis further indicated that genetic liability for smoking cessation increased the risk of CAD. Conclusion These findings inform the concomitant conditions of CAD and smoking and support the idea that genetic liabilities for smoking behaviors are strongly associated with the risk of CAD.
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Affiliation(s)
- Zhouhai Zhu
- Joint Institute of Tobacco and Health, Kunming, Yunnan, China
| | - Qiang Liu
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Meng Li
- Joint Institute of Tobacco and Health, Kunming, Yunnan, China
| | - Yinghao Yao
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Feiyan Qi
- Joint Institute of Tobacco and Health, Kunming, Yunnan, China
| | - Yi Xu
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Sheming Lu
- Joint Institute of Tobacco and Health, Kunming, Yunnan, China
| | - Zhongli Yang
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Ying Guan
- Joint Institute of Tobacco and Health, Kunming, Yunnan, China
| | - Ming D. Li
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Jianhua Yao
- Joint Institute of Tobacco and Health, Kunming, Yunnan, China
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Sacher S, Mukherjee A, Ray A. Deciphering structural aspects of reverse cholesterol transport: mapping the knowns and unknowns. Biol Rev Camb Philos Soc 2023; 98:1160-1183. [PMID: 36880422 DOI: 10.1111/brv.12948] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2022] [Revised: 02/03/2023] [Accepted: 02/24/2023] [Indexed: 03/08/2023]
Abstract
Atherosclerosis is a major contributor to the onset and progression of cardiovascular disease (CVD). Cholesterol-loaded foam cells play a pivotal role in forming atherosclerotic plaques. Induction of cholesterol efflux from these cells may be a promising approach in treating CVD. The reverse cholesterol transport (RCT) pathway delivers cholesteryl ester (CE) packaged in high-density lipoproteins (HDL) from non-hepatic cells to the liver, thereby minimising cholesterol load of peripheral cells. RCT takes place via a well-organised interplay amongst apolipoprotein A1 (ApoA1), lecithin cholesterol acyltransferase (LCAT), ATP binding cassette transporter A1 (ABCA1), scavenger receptor-B1 (SR-B1), and the amount of free cholesterol. Unfortunately, modulation of RCT for treating atherosclerosis has failed in clinical trials owing to our lack of understanding of the relationship between HDL function and RCT. The fate of non-hepatic CEs in HDL is dependent on their access to proteins involved in remodelling and can be regulated at the structural level. An inadequate understanding of this inhibits the design of rational strategies for therapeutic interventions. Herein we extensively review the structure-function relationships that are essential for RCT. We also focus on genetic mutations that disturb the structural stability of proteins involved in RCT, rendering them partially or completely non-functional. Further studies are necessary for understanding the structural aspects of RCT pathway completely, and this review highlights alternative theories and unanswered questions.
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Affiliation(s)
- Sukriti Sacher
- Department of Computational Biology, Indraprastha Institute of Information Technology, Okhla Phase III, New Delhi, 110019, India
| | - Abhishek Mukherjee
- Dhiti Life Sciences Pvt Ltd, B-107, Okhla Phase I, New Delhi, 110020, India
| | - Arjun Ray
- Department of Computational Biology, Indraprastha Institute of Information Technology, Okhla Phase III, New Delhi, 110019, India
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10
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HDL Function and Size in Patients with On-Target LDL Plasma Levels and a First-Onset ACS. Int J Mol Sci 2023; 24:ijms24065391. [PMID: 36982465 PMCID: PMC10048810 DOI: 10.3390/ijms24065391] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2023] [Revised: 03/07/2023] [Accepted: 03/09/2023] [Indexed: 03/14/2023] Open
Abstract
Patients admitted for acute coronary syndrome (ACS) usually have high cardiovascular risk scores with low levels of high-density lipoprotein cholesterol (HDL-C) and high low-density lipoprotein cholesterol (LDL-C) levels. Here, we investigated the role of lipoprotein functionality as well as particle number and size in patients with a first-onset ACS with on-target LDL-C levels. Ninety-seven patients with chest pain and first-onset ACS with LDL-C levels of 100 ± 4 mg/dL and non-HDL-C levels of 128 ± 4.0 mg/dL were included in the study. Patients were categorized as ACS and non-ACS after all diagnostic tests were performed (electrocardiogram, echocardiogram, troponin levels and angiography) on admission. HDL-C and LDL-C functionality and particle number/size by nuclear magnetic resonance (NMR) were blindly investigated. A group of matched healthy volunteers (n = 31) was included as a reference for these novel laboratory variables. LDL susceptibility to oxidation was higher and HDL-antioxidant capacity lower in the ACS patients than in the non-ACS individuals. ACS patients had lower HDL-C and Apolipoprotein A-I levels than non-ACS patients despite the same prevalence of classical cardiovascular risk factors. Cholesterol efflux potential was impaired only in the ACS patients. ACS-STEMI (Acute Coronary Syndrome—ST-segment-elevation myocardial infarction) patients, had a larger HDL particle diameter than non-ACS individuals (8.4 ± 0.02 vs. 8.3 ± 0.02 and, ANOVA test, p = 0.004). In conclusion, patients admitted for chest pain with a first-onset ACS and on-target lipid levels had impaired lipoprotein functionality and NMR measured larger HDL particles. This study shows the relevance of HDL functionality rather than HDL-C concentration in ACS patients.
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Interaction between SIDT2 and ABCA1 Variants with Nutrients on HDL-c Levels in Mexican Adults. Nutrients 2023; 15:nu15020370. [PMID: 36678241 PMCID: PMC9861312 DOI: 10.3390/nu15020370] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2022] [Revised: 11/09/2022] [Accepted: 11/15/2022] [Indexed: 01/13/2023] Open
Abstract
Previous studies have reported that the SIDT2 and ABCA1 genes are involved in lipid metabolism. We aimed to analyze the association-the gene x gene interaction between rs17120425 and rs1784042 on SIDT2 and rs9282541 on ABCA1 and their diet interaction on the HDL-c serum levels-in a cohort of 1982 Mexican adults from the Health Workers Cohort Study. Demographic and clinical data were collected through a structured questionnaire and standardized procedures. Genotyping was performed using a predesigned TaqMan assay. The associations and interactions of interest were estimated using linear and logistic regression. Carriers of the rs17120425-A and rs1784042-A alleles had slightly higher blood HDL-c levels compared to the non-carriers. In contrast, rs9282541-A was associated with low blood HDL-c levels (OR = 1.34, p = 0.013). The rs1784042 x rs9282541 interaction was associated with high blood HDL-c levels (p = 3.4 × 10-4). Premenopausal women who carried at least one rs17120425-A allele and consumed high dietary fat, protein, monounsaturated, or polyunsaturated fatty acids levels had higher HDL-c levels than the non-carriers. These results support the association between the genetic variants on SIDT2 and ABCA1 with HDL-c levels and suggest gene-gene and gene-diet interactions over HDL-c concentrations in Mexican adults. Our findings could be a platform for developing clinical and dietary strategies for improving the health of the Mexican population.
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12
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Ahmed AE, Alsamghan A, Momenah MA, Alqhtani HA, Aldawood NA, Alshehri MA, Ali Alshehri AM, Alhag SK, Mosaad YO, Ahmed H. Metabolic Syndrome and Cardiometabolic Risk Factors in the Mixed Hypercholesterolemic Populations with Respect to Gender, Age, and Obesity in Asir, Saudi Arabia. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:14985. [PMID: 36429701 PMCID: PMC9690936 DOI: 10.3390/ijerph192214985] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/10/2022] [Revised: 10/26/2022] [Accepted: 10/27/2022] [Indexed: 06/16/2023]
Abstract
This record study aimed to investigate the prevalence of metabolic syndrome (MetS) profiles regarding sex, age, and obesity for the riskier factor of cardiovascular diseases in a general population in Saudi Arabia. Laboratory and anthropometric measurements were performed on non-specific participants with variant ages and BMI in either sex. Serobiochemical changes were measured for metabolic profiles, i.e., A1C/FSG, TC, TGC, HDLC/LDLC, Vit.D, TSH/T4, Hb, and Cr. The study was applied in a Polyclinic, Abha, Saudi Arabia in 2020 G. The general population showed variable incidences of MetS profiles, such as 69.4% diabetes, 85.5% hypothyroidism, and 92.2% obesity. Hypothyroidism showed a higher incidence in women rather than in men, but men were more dyslipidemic, with higher TGC and LDLC but low HDLC, compared to women. Men <40 Y. showed diabetes and hypothyroidism, but elders were dyslipidemic. Women <40 Y. showed anemia and hypovitaminosis-D but were suffering from hypothyroidism at all ages. Diabetes, hypothyroidism, hypovitaminosis-D, and dyslipidemia were the main MetS components in both overweight and obese participants, and an incidence of more than 50% in each profile was recorded. Diabetes with hypertension was characteristic of obese participants rather than those overweight. About 66.1% of the mixed-hypercholesterolemic cases were diabetic, but 18.9% of the mixed-diabetic participants were hypercholesterolemic. Castelli's risk factors, CRI-I and CRI-II, and atherogenic indices, AIP and AC, were measured for evaluating the cardiac risk in different populations based on the AUC-ROC and cut-off values. Insulin-resistance marker (TyG) was also measured, showing considerable cut-off values for diabetic susceptibility in the lipidemic participants with higher TGC and TC rather than HDLC or LDLC. In conclusion, MetS showed higher susceptibility to sex and age with increased incidence in women rather than men. However, the cardiac risk was more susceptible to men of higher TGC and low HDLC than women. Type 2 Diabetes mellitus (T2DM) was more prominent in both elders (≥40 Y.) than younger ages of either sex. Anemia and deficiency of Vit. D was characteristic of young women (<40 Y.). Hypothyroidism affects young men <40 Y. but was recorded in women of all ages. Both dyslipidemia and diabetes could trigger CVD, showing higher cardiac risk in mixed-hypercholesterolemic men rather than women. Our study strongly suggests that the consumption of unhealthy junk food, tobacco smoking, lack of exercise, and physical inactivity could be conclusive evidence of MetS in the Saudi population.
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Affiliation(s)
- Ahmed Ezzat Ahmed
- Department of Biology, College of Science, King Khalid University, Abha 61413, Saudi Arabia
- Department of Theriogenology, Faculty of Veterinary Medicine, South Valley University, Qena 53823, Egypt
| | - Awad Alsamghan
- Family and Community Medicine Department, College of Medicine, King Khalid University, Abha 61413, Saudi Arabia
| | - Maha Abdullah Momenah
- Department of Biology, College of Science, Princess Nourah bint Abdulrahman University, P.O. Box 84428, Riyadh 11671, Saudi Arabia
| | - Haifa Ali Alqhtani
- Department of Biology, College of Science, Princess Nourah bint Abdulrahman University, P.O. Box 84428, Riyadh 11671, Saudi Arabia
| | - Nouf Arkan Aldawood
- Department of Biology, College of Science, Princess Nourah bint Abdulrahman University, P.O. Box 84428, Riyadh 11671, Saudi Arabia
| | - Mohammed A. Alshehri
- Department of Biology, College of Science, King Khalid University, Abha 61413, Saudi Arabia
| | | | - Sadeq K. Alhag
- Biology Department, College of Science and Arts, King Khalid University, Muhayl Asser, Abha 62529, Saudi Arabia
| | - Yasser O. Mosaad
- Department of Pharmacy Practice and Clinical Pharmacy, Faculty Pharmacy, Future University in Egypt, Cairo 11835, Egypt
| | - Hassan Ahmed
- Department of Physiology, Faculty of Veterinary Medicine, South Valley University, Qena 53823, Egypt
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13
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Poznyak AV, Litvinova L, Poggio P, Orekhov AN, Melnichenko AA. Familial Hypercholesterolaemia as a Predisposing Factor for Atherosclerosis. Biomedicines 2022; 10:biomedicines10102639. [PMID: 36289901 PMCID: PMC9599590 DOI: 10.3390/biomedicines10102639] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2022] [Revised: 10/12/2022] [Accepted: 10/17/2022] [Indexed: 11/29/2022] Open
Abstract
Lipid metabolism alterations are an important component of the pathogenesis of atherosclerosis. However, it is now clear that the atherogenesis process involves more than one mechanism, and more than one condition can predispose this condition. Multiple risk factors contribute to the atherosclerosis initiation and define its course. Familial hypercholesterolaemia is a disorder of lipid metabolism that often leads to atherosclerosis development. As is clear from the disease name, the hallmark is the increased levels of low-density lipoprotein cholesterol (LDL-C) in blood. This creates favourable conditions for atherogenesis. In this review, we briefly described the familial hypercholesterolaemia and summarized data on the relationship between familial hypercholesterolaemia and atherosclerosis.
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Affiliation(s)
- Anastasia V. Poznyak
- Institute for Atherosclerosis Research, Osennyaya 4-1-207, Moscow 121609, Russia
- Correspondence: (A.V.P.); (A.N.O.)
| | - Larisa Litvinova
- Center for Immunology and Cellular Biotechnology, Immanuel Kant Baltic Federal University, 6 Gaidara Street, Kaliningrad 236001, Russia
| | - Paolo Poggio
- Unit for Study of Aortic, Valvular and Coronary Pathologies, Centro Cardiologico Monzino IRCCS, Via Carlo Parea 4, 20138 Milan, Italy
| | - Alexander N. Orekhov
- Institute for Atherosclerosis Research, Osennyaya 4-1-207, Moscow 121609, Russia
- Laboratory of Angiopathology, Institute of General Pathology and Pathophysiology, 8 Baltiiskaya Street, Moscow 125315, Russia
- Correspondence: (A.V.P.); (A.N.O.)
| | - Alexandra A. Melnichenko
- Laboratory of Angiopathology, Institute of General Pathology and Pathophysiology, 8 Baltiiskaya Street, Moscow 125315, Russia
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14
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Iatan I, Choi HY, Genest J. High-Density Lipoprotein and Cardiovascular Disease-Where do We Stand? Endocrinol Metab Clin North Am 2022; 51:557-572. [PMID: 35963628 DOI: 10.1016/j.ecl.2022.01.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
Decades of research have shown that high-density lipoprotein cholesterol (HDL-C) levels in humans are associated with atherosclerotic cardiovascular disease (ASCVD). This association is strong and coherent across populations and remains after the elimination of covariates. Animal studies show that increasing HDL particles prevent atherosclerosis, and basic work on the biology of HDL supports a strong biological plausibility for a therapeutic target. This enthusiasm is dampened by Mendelian randomization data showing that HDL-C may not be causal in ASCVD. Furthermore, drugs that increase HDL-C have largely failed to prevent or treat ASCVD.
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Affiliation(s)
- Iulia Iatan
- Research Institute of the McGill University Health Center, 1001 Decarie Boulevard, Bloc E, EM12212, Montreal, Quebec H4A 3J1, Canada
| | - Hong Y Choi
- Research Institute of the McGill University Health Center, 1001 Decarie Boulevard, Bloc E, EM12212, Montreal, Quebec H4A 3J1, Canada
| | - Jacques Genest
- Research Institute of the McGill University Health Center, 1001 Decarie Boulevard, Bloc E, EM12212, Montreal, Quebec H4A 3J1, Canada.
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15
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Wu Y, Tan KCB, Shiu SWM, Luo Y, Shi L, Kwok TCY. Cholesterol efflux capacity of HDL was not associated with cognitive decline and brain structures in older people with diabetes mellitus. J Diabetes Investig 2022; 13:1873-1880. [PMID: 35731136 PMCID: PMC9623528 DOI: 10.1111/jdi.13875] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/07/2022] [Revised: 05/13/2022] [Accepted: 06/21/2022] [Indexed: 11/29/2022] Open
Abstract
Aims/Introduction To examine the association between cholesterol efflux capacity (CEC) of serum high‐density lipoprotein (HDL) and cognitive function and brain structures in older people with diabetes mellitus. Materials and Methods Participants of a randomized placebo‐controlled trial of 27‐month vitamin B12 supplementation in older people with diabetes mellitus, which showed no effect on cognition, were further followed up at month 72. Cognitive tests included the Clinical Dementia Rating scale, Neuropsychological Test Battery in memory, executive function and psychomotor speed. Brain magnetic resonance imaging scans were carried out in a subset at baseline, month 27 and month 45. Fasting serum at baseline, month 9, month 27 and month 72 were analyzed for adenosine triphosphate‐binding cassette transporter A1‐mediated CEC of HDL and apolipoprotein A1 (ApoA1). Results Serum HDL cholesterol at baseline was associated with better executive and memory function at follow up. Serum ApoA1 was associated with a better memory Z‐score at month 18. Serum CEC and ApoA1 were not associated with Clinical Dementia Rating scale, Neuropsychological Test Battery, hippocampal volume and white matter disease on magnetic resonance imaging at baseline and whole brain atrophy rates. They were also not associated with cognitive function at month 27 and 72 on multilevel modeling. CEC and ApoA1 decreased significantly from baseline to month 27. Faster decliners in CEC had a greater increase in brain peak width of skeletonized mean diffusivity. Conclusions Higher serum HDL cholesterol was associated with more favorable changes in memory and executive function in older people with diabetes mellitus. However, this was not due to CEC or ApoA1. A decline in CEC was associated with small vessel disease in the brain.
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Affiliation(s)
- Yuanyuan Wu
- Health Management Center, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China.,Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong, China
| | - Kathryn C B Tan
- Department of Medicine, University of Hong Kong, Hong Kong, China
| | - Sammy W M Shiu
- Department of Medicine, University of Hong Kong, Hong Kong, China
| | - Yishan Luo
- BrainNow Research Institute, Hong Kong, China
| | - Lin Shi
- Department of Imaging and interventional Radiology, The Chinese University of Hong Kong, Hong Kong, China
| | - Timothy C Y Kwok
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong, China
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16
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Leandro AC, Michael LF, Almeida M, Kuokkanen M, Huynh K, Giles C, Duong T, Diego VP, Duggirala R, Clarke GD, Blangero J, Meikle PJ, Curran JE. Influence of the Human Lipidome on Epicardial Fat Volume in Mexican American Individuals. Front Cardiovasc Med 2022; 9:889985. [PMID: 35734277 PMCID: PMC9207321 DOI: 10.3389/fcvm.2022.889985] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2022] [Accepted: 05/05/2022] [Indexed: 11/13/2022] Open
Abstract
Introduction Cardiovascular disease (CVD) is the leading cause of mortality worldwide and is the leading cause of death in the US. Lipid dysregulation is a well-known precursor to metabolic diseases, including CVD. There is a growing body of literature that suggests MRI-derived epicardial fat volume, or epicardial adipose tissue (EAT) volume, is linked to the development of coronary artery disease. Interestingly, epicardial fat is also actively involved in lipid and energy homeostasis, with epicardial adipose tissue having a greater capacity for release and uptake of free fatty acids. However, there is a scarcity of knowledge on the influence of plasma lipids on EAT volume. Aim The focus of this study is on the identification of novel lipidomic species associated with CMRI-derived measures of epicardial fat in Mexican American individuals. Methods We performed lipidomic profiling on 200 Mexican American individuals. High-throughput mass spectrometry enabled rapid capture of precise lipidomic profiles, providing measures of 799 unique species from circulating plasma samples. Because of our extended pedigree design, we utilized a standard quantitative genetic linear mixed model analysis to determine whether lipids were correlated with EAT by formally testing for association between each lipid species and the CMRI epicardial fat phenotype. Results After correction for multiple testing using the FDR approach, we identified 135 lipid species showing significant association with epicardial fat. Of those, 131 lipid species were positively correlated with EAT, where increased circulating lipid levels were correlated with increased epicardial fat. Interestingly, the top 10 lipid species associated with an increased epicardial fat volume were from the deoxyceramide (Cer(m)) and triacylglycerol (TG) families. Deoxyceramides are atypical and neurotoxic sphingolipids. Triacylglycerols are an abundant lipid class and comprise the bulk of storage fat in tissues. Pathologically elevated TG and Cer(m) levels are related to CVD risk and, in our study, to EAT volume. Conclusion Our results indicate that specific lipid abnormalities such as enriched saturated triacylglycerols and the presence of toxic ceramides Cer(m) in plasma of our individuals could precede CVD with increased EAT volume.
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Affiliation(s)
- Ana Cristina Leandro
- Department of Human Genetics and South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine, Brownsville, TX, United States
| | | | - Marcio Almeida
- Department of Human Genetics and South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine, Brownsville, TX, United States
| | - Mikko Kuokkanen
- Department of Human Genetics and South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine, Brownsville, TX, United States
| | - Kevin Huynh
- Metabolomics Laboratory, Baker Heart and Diabetes Institute, Melbourne, VIC, Australia
- Baker Department of Cardiometabolic Health, University of Melbourne, Parkville, VIC, Australia
| | - Corey Giles
- Metabolomics Laboratory, Baker Heart and Diabetes Institute, Melbourne, VIC, Australia
- Baker Department of Cardiometabolic Health, University of Melbourne, Parkville, VIC, Australia
| | - Thy Duong
- Metabolomics Laboratory, Baker Heart and Diabetes Institute, Melbourne, VIC, Australia
| | - Vincent P. Diego
- Department of Human Genetics and South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine, Brownsville, TX, United States
| | - Ravindranath Duggirala
- Department of Human Genetics and South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine, Brownsville, TX, United States
| | - Geoffrey D. Clarke
- Department of Radiology and Research Imaging Institute, University of Texas Health Science Center, San Antonio, TX, United States
| | - John Blangero
- Department of Human Genetics and South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine, Brownsville, TX, United States
| | - Peter J. Meikle
- Metabolomics Laboratory, Baker Heart and Diabetes Institute, Melbourne, VIC, Australia
- Baker Department of Cardiometabolic Health, University of Melbourne, Parkville, VIC, Australia
| | - Joanne E. Curran
- Department of Human Genetics and South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine, Brownsville, TX, United States
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17
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Jurado-Camacho PA, Cid-Soto MA, Barajas-Olmos F, García-Ortíz H, Baca-Peynado P, Martínez-Hernández A, Centeno-Cruz F, Contreras-Cubas C, González-Villalpando ME, Saldaña-Álvarez Y, Salas-Martinez G, Mendoza-Caamal EC, González-Villalpando C, Córdova EJ, Orozco L. Exome Sequencing Data Analysis and a Case-Control Study in Mexican Population Reveals Lipid Trait Associations of New and Known Genetic Variants in Dyslipidemia-Associated Loci. Front Genet 2022; 13:807381. [PMID: 35669185 PMCID: PMC9164108 DOI: 10.3389/fgene.2022.807381] [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: 11/02/2021] [Accepted: 04/25/2022] [Indexed: 11/13/2022] Open
Abstract
Background: Plasma lipid levels are a major risk factor for cardiovascular diseases. Although international efforts have identified a group of loci associated with the risk of dyslipidemia, Latin American populations have been underrepresented in these studies.Objective: To know the genetic variation occurring in lipid-related loci in the Mexican population and its association with dyslipidemia.Methods: We searched for single-nucleotide variants in 177 lipid candidate genes using previously published exome sequencing data from 2838 Mexican individuals belonging to three different cohorts. With the extracted variants, we performed a case-control study. Logistic regression and quantitative trait analyses were implemented in PLINK software. We used an LD pruning using a 50-kb sliding window size, a 5-kb window step size and a r2 threshold of 0.1.Results: Among the 34251 biallelic variants identified in our sample population, 33% showed low frequency. For case-control study, we selected 2521 variants based on a minor allele frequency ≥1% in all datasets. We found 19 variants in 9 genes significantly associated with at least one lipid trait, with the most significant associations found in the APOA1/C3/A4/A5-ZPR1-BUD13 gene cluster on chromosome 11. Notably, all 11 variants associated with hypertriglyceridemia were within this cluster; whereas variants associated with hypercholesterolemia were located at chromosome 2 and 19, and for low high density lipoprotein cholesterol were in chromosomes 9, 11, and 19. No significant associated variants were found for low density lipoprotein. We found several novel variants associated with different lipemic traits: rs3825041 in BUD13 with hypertriglyceridemia, rs7252453 in CILP2 with decreased risk to hypercholesterolemia and rs11076176 in CETP with increased risk to low high density lipoprotein cholesterol.Conclusions: We identified novel variants in lipid-regulation candidate genes in the Mexican population, an underrepresented population in genomic studies, demonstrating the necessity of more genomic studies on multi-ethnic populations to gain a deeper understanding of the genetic structure of the lipemic traits.
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Affiliation(s)
- Pedro A. Jurado-Camacho
- Immunogenomics and Metabolic Diseases Laboratory, National Institute of Genomic Medicine, Mexico City, Mexico
- Posgraduate in Biomedical Sciences, National Autonomous University of Mexico, Mexico City, Mexico
| | - Miguel A. Cid-Soto
- Immunogenomics and Metabolic Diseases Laboratory, National Institute of Genomic Medicine, Mexico City, Mexico
| | - Francisco Barajas-Olmos
- Immunogenomics and Metabolic Diseases Laboratory, National Institute of Genomic Medicine, Mexico City, Mexico
| | - Humberto García-Ortíz
- Immunogenomics and Metabolic Diseases Laboratory, National Institute of Genomic Medicine, Mexico City, Mexico
| | - Paulina Baca-Peynado
- Immunogenomics and Metabolic Diseases Laboratory, National Institute of Genomic Medicine, Mexico City, Mexico
- Posgraduate in Biomedical Sciences, National Autonomous University of Mexico, Mexico City, Mexico
| | - Angélica Martínez-Hernández
- Immunogenomics and Metabolic Diseases Laboratory, National Institute of Genomic Medicine, Mexico City, Mexico
| | - Federico Centeno-Cruz
- Immunogenomics and Metabolic Diseases Laboratory, National Institute of Genomic Medicine, Mexico City, Mexico
| | - Cecilia Contreras-Cubas
- Immunogenomics and Metabolic Diseases Laboratory, National Institute of Genomic Medicine, Mexico City, Mexico
| | - María Elena González-Villalpando
- Centro de Estudios en Diabetes, Unidad de Investigación en Diabetes y Riesgo Cardiovascular, Centro de Investigación en Salud Poblacional, Instituto Nacional de Salud Pública, Mexico City, Mexico
| | - Yolanda Saldaña-Álvarez
- Immunogenomics and Metabolic Diseases Laboratory, National Institute of Genomic Medicine, Mexico City, Mexico
| | - Guadalupe Salas-Martinez
- Immunogenomics and Metabolic Diseases Laboratory, National Institute of Genomic Medicine, Mexico City, Mexico
| | | | - Clicerio González-Villalpando
- Centro de Estudios en Diabetes, Unidad de Investigación en Diabetes y Riesgo Cardiovascular, Centro de Investigación en Salud Poblacional, Instituto Nacional de Salud Pública, Mexico City, Mexico
| | - Emilio J. Córdova
- Oncogenomics Consortium Laboratory, National Institute of Genomic Medicine, Mexico City, Mexico
- *Correspondence: Emilio J. Córdova, ; Lorena Orozco,
| | - Lorena Orozco
- Immunogenomics and Metabolic Diseases Laboratory, National Institute of Genomic Medicine, Mexico City, Mexico
- *Correspondence: Emilio J. Córdova, ; Lorena Orozco,
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18
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Xie R, Huang X, Liu Q, Liu M. Positive association between high-density lipoprotein cholesterol and bone mineral density in U.S. adults: the NHANES 2011-2018. J Orthop Surg Res 2022; 17:92. [PMID: 35168655 PMCID: PMC8848786 DOI: 10.1186/s13018-022-02986-w] [Citation(s) in RCA: 29] [Impact Index Per Article: 14.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/07/2021] [Accepted: 02/03/2022] [Indexed: 12/31/2022] Open
Abstract
Background Serum lipids are highly inheritable and play a major role in bone health. However, the relationship between high-density lipoprotein cholesterol (HDL-C) and bone mineral density (BMD) remains uncertain. The goal of this study was to see if there was a link between HDL-C levels and BMD in persons aged 20–59. Methods Multivariate logistic regression models were used to determine the link between HDL-C and lumbar BMD using data from the National Health and Nutrition Examination Survey (NHANES) 2011–2018. Generalized additive models and fitted smoothing curves were also used. Results The analysis included a total of 10,635 adults. After controlling for various variables, we discovered that HDL-C was positively linked with lumbar BMD. The favorable connection of HDL-C with lumbar BMD was maintained in subgroup analyses stratified by sex and race in women, but not in men, and in blacks, but not in whites. The relationship between HDL-C and lumbar BMD in men and whites was a U-shaped curve with the same inflection point: 0.98 mmol/L. Conclusions In people aged 20 to 59, our research discovered a positive relationship among HDL-C and lumbar BMD. Among males and whites, this relationship followed a U-shaped curve (inflection point: 0.98 mmol/L). HDL-C measurement might be used as a responsive biomarker for detecting osteoporosis early and guiding therapy.
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Affiliation(s)
- Ruijie Xie
- Department of Hand Surgery, The Affiliated Nanhua Hospital, Hengyang Medical School, University of South China, Hengyang, 421002, China
| | - Xiongjie Huang
- Department of Hand Surgery, The Affiliated Nanhua Hospital, Hengyang Medical School, University of South China, Hengyang, 421002, China
| | - Qianlong Liu
- Department of Hand Surgery, The Affiliated Changsha Central Hospital, Hengyang Medical School, University of South China, Changsha, 410004, China
| | - Mingjiang Liu
- Department of Hand Surgery, The Affiliated Nanhua Hospital, Hengyang Medical School, University of South China, Hengyang, 421002, China.
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Integrated omics analysis revealed the Tinospora cordifolia intervention modulated multiple signaling pathways in hypertriglyceridemia patients-a pilot clinical trial. J Diabetes Metab Disord 2022; 21:379-397. [PMID: 35673460 PMCID: PMC9167413 DOI: 10.1007/s40200-022-00985-6] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/08/2021] [Accepted: 01/20/2022] [Indexed: 02/03/2023]
Abstract
Purpose Hypertriglyceridemia (HTG) is strongly associated with the various types of disease conditions and evolving as epidemics. Hence, it is important to identify molecules that lower the triglyceride and chylomicron levels. Tinospora cordifolia is an illustrious Ayurveda drug, has proved juvenile and immunomodulatory properties. Methods Twenty four (24) patients having >499 mg/dL TG and 130-230 mg/dL of cholesterol were randomized and given 100 mL/day (~3.0 g) water extract of T. cordifolia (TCE) for 14 days. Basal parameters were analyzed before and after TC intervention to analyzed primary outcomes. Further, unbiased metabolomics and proteomics profiling was explored to assess the efficacy of TCE in HTG patients. Results TCE intervention decreased the levels of triglycerides, and VLDL to 380.45 ± 17.44, and 31.85 ± 5.88, and increased the HDL levels to 47.50 ± 9.05 mg/dL significantly (p < 0.05). Metabolomics analysis identified the significant alteration in 69 metabolites and 72 proteins in plasma of HTG patients. TCE intervention reduced the level of isoprostanes, ROS, BCAA, and fatty acid derivatives, significantly. The annotation databases, Metboanalyst predicted Akt and Rap1 signaling, and ECM-receptor interaction is the most affected in HTG patients. TCE intervention normalized these events by increasing the peroxisome biogenesis and modulating Akt and Rap1 signaling pathway. Conclusion T. cordifolia intervention suppresses the baseline in HTG patients. Omics analysis showed that TCE intervention modulates the Akt and Rap signaling, and peroxisome biogenesis to control the cellular switches and signaling pathways. Hence, TCE can be used as a supplement or alternate of standard drugs being used in the management of HTG. Supplementary Information The online version contains supplementary material available at 10.1007/s40200-022-00985-6.
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20
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Lee YH, Chang YS, Hsieh CC, Wang RT, Chang JG, Chen CJ, Chang SJ. APOE and KLF14 genetic variants are sex-specific for low high-density lipoprotein cholesterol identified by a genome-wide association study. Genet Mol Biol 2022; 45:e20210280. [PMID: 35238325 PMCID: PMC8892272 DOI: 10.1590/1678-4685-gmb-2021-0280] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2021] [Accepted: 12/28/2021] [Indexed: 11/22/2022] Open
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21
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Kardassis D, Thymiakou E, Chroni A. Genetics and regulation of HDL metabolism. Biochim Biophys Acta Mol Cell Biol Lipids 2021; 1867:159060. [PMID: 34624513 DOI: 10.1016/j.bbalip.2021.159060] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2021] [Revised: 09/06/2021] [Accepted: 09/09/2021] [Indexed: 02/07/2023]
Abstract
The inverse association between plasma HDL cholesterol (HDL-C) levels and risk for cardiovascular disease (CVD) has been demonstrated by numerous epidemiological studies. However, efforts to reduce CVD risk by pharmaceutically manipulating HDL-C levels failed and refused the HDL hypothesis. HDL-C levels in the general population are highly heterogeneous and are determined by a combination of genetic and environmental factors. Insights into the causes of HDL-C heterogeneity came from the study of monogenic HDL deficiency syndromes but also from genome wide association and Μendelian randomization studies which revealed the contribution of a large number of loci to low or high HDL-C cases in the general or in restricted ethnic populations. Furthermore, HDL-C levels in the plasma are under the control of transcription factor families acting primarily in the liver including members of the hormone nuclear receptors (PPARs, LXRs, HNF-4) and forkhead box proteins (FOXO1-4) and activating transcription factors (ATFs). The effects of certain lipid lowering drugs used today are based on the modulation of the activity of specific members of these transcription factors. During the past decade, the roles of small or long non-coding RNAs acting post-transcriptionally on the expression of HDL genes have emerged and provided novel insights into HDL regulation and new opportunities for therapeutic interventions. In the present review we summarize recent progress made in the genetics and the regulation (transcriptional and post-transcriptional) of HDL metabolism.
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Affiliation(s)
- Dimitris Kardassis
- Laboratory of Biochemistry, Department of Basic Sciences, University of Crete Medical School and Institute of Molecular Biology and Biotechnology, Foundation for Research and Technology of Hellas, Heraklion, Greece.
| | - Efstathia Thymiakou
- Laboratory of Biochemistry, Department of Basic Sciences, University of Crete Medical School and Institute of Molecular Biology and Biotechnology, Foundation for Research and Technology of Hellas, Heraklion, Greece
| | - Angeliki Chroni
- Institute of Biosciences and Applications, National Center for Scientific Research "Demokritos", Agia Paraskevi, Athens, Greece
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22
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Genome-Wide Association Study on Adiponectin-Mediated Suppression of HDL-C Levels in Taiwanese Individuals Identifies Functional Haplotypes in CDH13. Genes (Basel) 2021; 12:genes12101582. [PMID: 34680977 PMCID: PMC8535967 DOI: 10.3390/genes12101582] [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: 09/02/2021] [Revised: 09/30/2021] [Accepted: 10/01/2021] [Indexed: 11/24/2022] Open
Abstract
CDH13 encodes T-cadherin, which is expressed in the vasculature and cardiac myocytes and is the receptor for hexameric and high-molecular-weight adiponectin. The CDH13 region is the most pivotal locus associated with adiponectin level. Mediation analysis is a method to explore the effect of a third variable, it is assumed that the magnitude of the relationship between the independent and dependent variables will be reduced by statistical adjustment for a third variable. In addition, mediation can further occur in the case when the mediator acts as a pathway-suppressor variable that means a suppression effect may be suggested if the statistical removal of a mediation effect could increase the magnitude of the relationship between the independent and dependent variables. Here, we aimed to explore the suppression effect in a genome-wide association study, and investigate possible mechanisms that may link adiponectin to CDH13 variants and high-density lipoprotein cholesterol (HDL-C). Genome-wide association data for adiponectin and HDL-C were accessible for 2349 Taiwan-biobank participants. The mediation analysis was conducted with the CDH13 lead single nucleotide polymorphism (SNP) rs4783244. The cloned constructs of CDH13 haplotypes (GG and TT) identified from the rs4783244 G/T and rs12051272 G/T SNPs were transiently expressed in HEK293T cells and investigated using the luciferase reporter assay. Genome-wide association analysis showed that HDL-C is significantly associated with variants in CDH13 after adjusting for the adiponectin level. The lead SNP rs4783244 was significantly associated with lower adiponectin levels and exhibited a suppression effect on HDL-C when adiponectin was included as a third factor in the mediation analysis. Luciferase reporter assay results further demonstrated that the GG haplotype increased enhancer activity, whereas the haplotype TT significantly reduced the activity of this enhancer. We present the first evidence of the suppressive role of adiponectin in the genome-wide association between CDH13 and HDL-C. CDH13 may increase the HDL-C levels, and its expression is suppressed by adiponectin.
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23
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Nindita Y, Nakatochi M, Ibusuki R, Shimoshikiryo I, Nishimoto D, Shimatani K, Takezaki T, Ikezaki H, Murata M, Hara M, Nishida Y, Tamura T, Hishida A, Nagayoshi M, Okada R, Matsuo K, Ito H, Mikami H, Nakamura Y, Otani T, Suzuki S, Koyama T, Ozaki E, Kuriki K, Takashima N, Miyagawa N, Arisawa K, Katsuura-Kamao S, Momozawa Y, Kubo M, Takeuchi K, Wakai K. Population-Based Impact of Smoking, Drinking, and Genetic Factors on HDL-Cholesterol Levels in J-MICC Study Participants. J Epidemiol 2021; 33:193-200. [PMID: 34421081 PMCID: PMC9939920 DOI: 10.2188/jea.je20210142] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
Abstract
BACKGROUND Environmental and genetic factors are suggested to exhibit factor-based association with HDL-cholesterol (HDL-C) levels. However, the population-based effects of environmental and genetic factors have not been compared clearly. We conducted a cross-sectional study using data from the Japan Multi-Institutional Collaborative Cohort (J-MICC) Study to evaluate the population-based impact of smoking, drinking, and genetic factors on low HDL-C. METHODS Data from 11,498 men and women aged 35-69 years were collected for a genome-wide association study (GWAS). Sixty-five HDL-C-related SNPs with genome-wide significance (P < 5 × 10-8) were selected from the GWAS catalog, and seven representative SNPs were defined, and the population-based impact was estimated using population attributable fraction (PAF). RESULTS We found that smoking, drinking, daily activity, habitual exercise, egg intake, BMI, age, sex and the SNPs CETP rs3764261, APOA5 rs662799, LIPC rs1800588, LPL rs328, ABCA1 rs2575876, LIPG rs3786247, and APOE rs429358 were associated with HDL-C levels. The gene-environmental interactions on smoking and drinking were not statistically significant. The PAF for low HDL-C was the highest in men (63.2%) and in rs3764261 (31.5%) of the genetic factors, and the PAFs of smoking and drinking were 23.1% and 41.8%, respectively. CONCLUSIONS The present study showed that the population-based impact of genomic factor CETP rs3764261 for low HDL-C was higher than that of smoking and lower than that of drinking.
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Affiliation(s)
- Yora Nindita
- Department of International Island and Community Medicine, Kagoshima University Graduate School of Medical and Dental Sciences.,Department of Pharmacology and Therapeutic, Faculty of Medicine, Diponegoro University
| | - Masahiro Nakatochi
- Public Health Informatics Unit, Department of Integrated Health Sciences, Nagoya University Graduate School of Medicine
| | - Rie Ibusuki
- Department of International Island and Community Medicine, Kagoshima University Graduate School of Medical and Dental Sciences
| | - Ippei Shimoshikiryo
- Department of International Island and Community Medicine, Kagoshima University Graduate School of Medical and Dental Sciences
| | - Daisaku Nishimoto
- Department of International Island and Community Medicine, Kagoshima University Graduate School of Medical and Dental Sciences.,School of Health Sciences, Faculty of Medicine, Kagoshima University
| | - Keiichi Shimatani
- Division of Nursing, Higashigaoka Faculty of Nursing, Tokyo Healthcare University
| | - Toshiro Takezaki
- Department of International Island and Community Medicine, Kagoshima University Graduate School of Medical and Dental Sciences
| | - Hiroaki Ikezaki
- Department of Comprehensive General Internal Medicine, Kyushu University Graduate School of Medical Sciences, Faculty of Medical Sciences.,Department of General Internal Medicine, Kyushu University Hospital
| | - Masayuki Murata
- Department of General Internal Medicine, Kyushu University Hospital
| | - Megumi Hara
- Department of Preventive Medicine, Faculty of Medicine, Saga University
| | - Yuichiro Nishida
- Department of Preventive Medicine, Faculty of Medicine, Saga University
| | - Takashi Tamura
- Department of Preventive Medicine, Nagoya University Graduate School of Medicine
| | - Asahi Hishida
- Department of Preventive Medicine, Nagoya University Graduate School of Medicine
| | - Mako Nagayoshi
- Department of Preventive Medicine, Nagoya University Graduate School of Medicine
| | - Rieko Okada
- Department of Preventive Medicine, Nagoya University Graduate School of Medicine
| | - Keitaro Matsuo
- Division of Cancer Epidemiology and Prevention, Aichi Cancer Center Research Institute
| | - Hidemi Ito
- Division of Cancer Information and Control, Aichi Cancer Center Research Institute
| | - Haruo Mikami
- Cancer Prevention Center, Chiba Cancer Center Research Institute
| | - Yohko Nakamura
- Cancer Prevention Center, Chiba Cancer Center Research Institute
| | - Takahiro Otani
- Department of Public Health, Nagoya City University Graduate School of Medical Sciences
| | - Sadao Suzuki
- Department of Public Health, Nagoya City University Graduate School of Medical Sciences
| | - Teruhide Koyama
- Department of Epidemiology for Community Health and Medicine, Kyoto Prefectural University of Medicine
| | - Etsuko Ozaki
- Department of Epidemiology for Community Health and Medicine, Kyoto Prefectural University of Medicine
| | - Kiyonori Kuriki
- Laboratory of Public Health, Division of Nutritional Sciences, School of Food and Nutritional Sciences, University of Shizuoka
| | - Naoyuki Takashima
- Department of Public Health, Kindai University Faculty of Medicine.,Department of Public Health, Shiga University of Medical Science
| | - Naoko Miyagawa
- Department of Public Health, Shiga University of Medical Science.,Department of Preventive Medicine and Public Health, Keio University School of Medicine
| | - Kokichi Arisawa
- Department of Preventive Medicine, Tokushima University Graduate School of Biomedical Sciences
| | - Sakurako Katsuura-Kamao
- Department of Preventive Medicine, Tokushima University Graduate School of Biomedical Sciences
| | - Yukihide Momozawa
- Laboratory for Genotyping Development, Center for Integrative Medical Sciences, RIKEN
| | - Michiaki Kubo
- Laboratory for Genotyping Development, Center for Integrative Medical Sciences, RIKEN
| | - Kenji Takeuchi
- Department of Preventive Medicine, Nagoya University Graduate School of Medicine
| | - Kenji Wakai
- Department of Preventive Medicine, Nagoya University Graduate School of Medicine
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24
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Arrifano GP, Alvarez-Leite JI, Macchi BM, Campos NFSS, Augusto-Oliveira M, Santos-Sacramento L, Lopes-Araújo A, Souza-Monteiro JR, Alburquerque-Santos R, do Nascimento JLM, Santos S, Ribeiro-dos-Santos Â, Oriá RB, Crespo-Lopez ME. Living in the Southern Hemisphere: Metabolic Syndrome and Its Components in Amazonian Riverine Populations. J Clin Med 2021; 10:3630. [PMID: 34441925 PMCID: PMC8396977 DOI: 10.3390/jcm10163630] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2021] [Revised: 07/23/2021] [Accepted: 07/30/2021] [Indexed: 12/20/2022] Open
Abstract
The metabolic syndrome (MetS) epidemic is a global challenge. Although developing countries (including Brazil, India, and South Africa) present a higher proportion of deaths by cardiovascular diseases than developed countries, most of our knowledge is from these developed countries. Amazonian riverine populations (ARP), as well as other vulnerable populations of the Southern Hemisphere, share low-income and traditional practices, among other features. This large cross-sectional study of ARP (n = 818) shows high prevalence of hypertension (51%) and obesity (23%). MetS was diagnosed in 38% of participants (especially in women and 60-69 years-old individuals) without the influence of ancestry. Only 7-8% of adults had no cardio-metabolic abnormalities related to MetS. Atherogenic dyslipidemia (low HDL-cholesterol) was generally observed, including in individuals without MetS. Still, slight differences were detected between settings with a clear predominance of hypertension in Tucuruí. Hypotheses on possible genetic influence and factors (nutrition transition and environmental pollutants -mercury) are proposed for future studies. Moreover, a roadmap to MetS progression based on the most prevalent components is provided for the development of tailored interventions in the Amazon (initially, individuals would present low HDL-cholesterol levels, later progressing to increased blood pressure characterizing hypertension, and ultimately reaching MetS with obesity). Our alarming results support the need to improve our knowledge on these vulnerable populations.
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Affiliation(s)
- Gabriela P. Arrifano
- Laboratório de Farmacologia Molecular, Instituto de Ciências Biológicas, Universidade Federal do Pará, Belém 66075-110, Brazil; (G.P.A.); (N.F.S.S.C.); (M.A.-O.); (L.S.-S.); (A.L.-A.); (R.A.-S.)
| | - Jacqueline I. Alvarez-Leite
- Laboratório de Aterosclerose e Bioquímica Nutricional, Departamento de Bioquímica e Imunologia, Universidade Federal de Minas Gerais, Belo Horizonte 30161-970, Brazil;
| | - Barbarella M. Macchi
- Laboratório de Neuroquímica e Biologia Celular, Instituto de Ciências Biológicas, Universidade Federal do Pará, Belém 66075-110, Brazil; (B.M.M.); (J.L.M.d.N.)
| | - Núbia F. S. S. Campos
- Laboratório de Farmacologia Molecular, Instituto de Ciências Biológicas, Universidade Federal do Pará, Belém 66075-110, Brazil; (G.P.A.); (N.F.S.S.C.); (M.A.-O.); (L.S.-S.); (A.L.-A.); (R.A.-S.)
| | - Marcus Augusto-Oliveira
- Laboratório de Farmacologia Molecular, Instituto de Ciências Biológicas, Universidade Federal do Pará, Belém 66075-110, Brazil; (G.P.A.); (N.F.S.S.C.); (M.A.-O.); (L.S.-S.); (A.L.-A.); (R.A.-S.)
| | - Letícia Santos-Sacramento
- Laboratório de Farmacologia Molecular, Instituto de Ciências Biológicas, Universidade Federal do Pará, Belém 66075-110, Brazil; (G.P.A.); (N.F.S.S.C.); (M.A.-O.); (L.S.-S.); (A.L.-A.); (R.A.-S.)
| | - Amanda Lopes-Araújo
- Laboratório de Farmacologia Molecular, Instituto de Ciências Biológicas, Universidade Federal do Pará, Belém 66075-110, Brazil; (G.P.A.); (N.F.S.S.C.); (M.A.-O.); (L.S.-S.); (A.L.-A.); (R.A.-S.)
| | | | - Raquel Alburquerque-Santos
- Laboratório de Farmacologia Molecular, Instituto de Ciências Biológicas, Universidade Federal do Pará, Belém 66075-110, Brazil; (G.P.A.); (N.F.S.S.C.); (M.A.-O.); (L.S.-S.); (A.L.-A.); (R.A.-S.)
| | - José Luiz M. do Nascimento
- Laboratório de Neuroquímica e Biologia Celular, Instituto de Ciências Biológicas, Universidade Federal do Pará, Belém 66075-110, Brazil; (B.M.M.); (J.L.M.d.N.)
- Programa de Pós-Graduação em Ciências Farmacêuticas, Departamento de Ciências Biológicas e da Saúde, Universidade Federal do Amapá, Macapá 68903-419, Brazil
| | - Sidney Santos
- Laboratório de Genética Humana e Médica, Instituto de Ciências Biológicas, Universidade Federal do Pará, Belém 66075-110, Brazil; (S.S.); (Â.R.-d.-S.)
| | - Ândrea Ribeiro-dos-Santos
- Laboratório de Genética Humana e Médica, Instituto de Ciências Biológicas, Universidade Federal do Pará, Belém 66075-110, Brazil; (S.S.); (Â.R.-d.-S.)
| | - Reinaldo B. Oriá
- Laboratório de Biologia da Cicatrização, Ontogenia e Nutrição de Tecidos, Faculdade de Medicina, Universidade Federal do Ceará, Fortaleza 60430-160, Brazil;
| | - Maria Elena Crespo-Lopez
- Laboratório de Farmacologia Molecular, Instituto de Ciências Biológicas, Universidade Federal do Pará, Belém 66075-110, Brazil; (G.P.A.); (N.F.S.S.C.); (M.A.-O.); (L.S.-S.); (A.L.-A.); (R.A.-S.)
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25
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Giammanco A, Noto D, Barbagallo CM, Nardi E, Caldarella R, Ciaccio M, Averna MR, Cefalù AB. Hyperalphalipoproteinemia and Beyond: The Role of HDL in Cardiovascular Diseases. Life (Basel) 2021; 11:life11060581. [PMID: 34207236 PMCID: PMC8235218 DOI: 10.3390/life11060581] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2021] [Revised: 06/11/2021] [Accepted: 06/16/2021] [Indexed: 12/16/2022] Open
Abstract
Hyperalphalipoproteinemia (HALP) is a lipid disorder characterized by elevated plasma high-density lipoprotein cholesterol (HDL-C) levels above the 90th percentile of the distribution of HDL-C values in the general population. Secondary non-genetic factors such as drugs, pregnancy, alcohol intake, and liver diseases might induce HDL increases. Primary forms of HALP are caused by mutations in the genes coding for cholesteryl ester transfer protein (CETP), hepatic lipase (HL), apolipoprotein C-III (apo C-III), scavenger receptor class B type I (SR-BI) and endothelial lipase (EL). However, in the last decades, genome-wide association studies (GWAS) have also suggested a polygenic inheritance of hyperalphalipoproteinemia. Epidemiological studies have suggested that HDL-C is inversely correlated with cardiovascular (CV) risk, but recent Mendelian randomization data have shown a lack of atheroprotective causal effects of HDL-C. This review will focus on primary forms of HALP, the role of polygenic inheritance on HDL-C, associated risk for cardiovascular diseases and possible treatment options.
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Affiliation(s)
- Antonina Giammanco
- Department of Health Promotion, Mother and Child Care, Internal Medicine and Medical Specialties–University of Palermo, Via del Vespro, 129, 90127 Palermo, Italy; (A.G.); (D.N.); (C.M.B.); (E.N.); (M.R.A.)
| | - Davide Noto
- Department of Health Promotion, Mother and Child Care, Internal Medicine and Medical Specialties–University of Palermo, Via del Vespro, 129, 90127 Palermo, Italy; (A.G.); (D.N.); (C.M.B.); (E.N.); (M.R.A.)
| | - Carlo Maria Barbagallo
- Department of Health Promotion, Mother and Child Care, Internal Medicine and Medical Specialties–University of Palermo, Via del Vespro, 129, 90127 Palermo, Italy; (A.G.); (D.N.); (C.M.B.); (E.N.); (M.R.A.)
| | - Emilio Nardi
- Department of Health Promotion, Mother and Child Care, Internal Medicine and Medical Specialties–University of Palermo, Via del Vespro, 129, 90127 Palermo, Italy; (A.G.); (D.N.); (C.M.B.); (E.N.); (M.R.A.)
| | - Rosalia Caldarella
- Department of Laboratory Medicine, Unit of Laboratory Medicine CoreLab, University Hospital “P. Giaccone”, 90127 Palermo, Italy; (R.C.); (M.C.)
| | - Marcello Ciaccio
- Department of Laboratory Medicine, Unit of Laboratory Medicine CoreLab, University Hospital “P. Giaccone”, 90127 Palermo, Italy; (R.C.); (M.C.)
- Department of Biomedicine, Neurosciences and Advanced Diagnostics, University of Palermo, 90127 Palermo, Italy
| | - Maurizio Rocco Averna
- Department of Health Promotion, Mother and Child Care, Internal Medicine and Medical Specialties–University of Palermo, Via del Vespro, 129, 90127 Palermo, Italy; (A.G.); (D.N.); (C.M.B.); (E.N.); (M.R.A.)
| | - Angelo Baldassare Cefalù
- Department of Health Promotion, Mother and Child Care, Internal Medicine and Medical Specialties–University of Palermo, Via del Vespro, 129, 90127 Palermo, Italy; (A.G.); (D.N.); (C.M.B.); (E.N.); (M.R.A.)
- Correspondence:
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26
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Goodrich JK, Singer-Berk M, Son R, Sveden A, Wood J, England E, Cole JB, Weisburd B, Watts N, Caulkins L, Dornbos P, Koesterer R, Zappala Z, Zhang H, Maloney KA, Dahl A, Aguilar-Salinas CA, Atzmon G, Barajas-Olmos F, Barzilai N, Blangero J, Boerwinkle E, Bonnycastle LL, Bottinger E, Bowden DW, Centeno-Cruz F, Chambers JC, Chami N, Chan E, Chan J, Cheng CY, Cho YS, Contreras-Cubas C, Córdova E, Correa A, DeFronzo RA, Duggirala R, Dupuis J, Garay-Sevilla ME, García-Ortiz H, Gieger C, Glaser B, González-Villalpando C, Gonzalez ME, Grarup N, Groop L, Gross M, Haiman C, Han S, Hanis CL, Hansen T, Heard-Costa NL, Henderson BE, Hernandez JMM, Hwang MY, Islas-Andrade S, Jørgensen ME, Kang HM, Kim BJ, Kim YJ, Koistinen HA, Kooner JS, Kuusisto J, Kwak SH, Laakso M, Lange L, Lee JY, Lee J, Lehman DM, Linneberg A, Liu J, Loos RJF, Lyssenko V, Ma RCW, Martínez-Hernández A, Meigs JB, Meitinger T, Mendoza-Caamal E, Mohlke KL, Morris AD, Morrison AC, Ng MCY, Nilsson PM, O'Donnell CJ, Orozco L, Palmer CNA, Park KS, Post WS, Pedersen O, Preuss M, Psaty BM, Reiner AP, Revilla-Monsalve C, Rich SS, Rotter JI, Saleheen D, Schurmann C, Sim X, Sladek R, Small KS, So WY, Spector TD, Strauch K, Strom TM, Tai ES, Tam CHT, Teo YY, Thameem F, Tomlinson B, Tracy RP, Tuomi T, Tuomilehto J, Tusié-Luna T, van Dam RM, Vasan RS, Wilson JG, Witte DR, Wong TY, Burtt NP, Zaitlen N, McCarthy MI, Boehnke M, Pollin TI, Flannick J, Mercader JM, O'Donnell-Luria A, Baxter S, Florez JC, MacArthur DG, Udler MS. Determinants of penetrance and variable expressivity in monogenic metabolic conditions across 77,184 exomes. Nat Commun 2021; 12:3505. [PMID: 34108472 PMCID: PMC8190084 DOI: 10.1038/s41467-021-23556-4] [Citation(s) in RCA: 40] [Impact Index Per Article: 13.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2020] [Accepted: 04/27/2021] [Indexed: 11/16/2022] Open
Abstract
Hundreds of thousands of genetic variants have been reported to cause severe monogenic diseases, but the probability that a variant carrier develops the disease (termed penetrance) is unknown for virtually all of them. Additionally, the clinical utility of common polygenetic variation remains uncertain. Using exome sequencing from 77,184 adult individuals (38,618 multi-ancestral individuals from a type 2 diabetes case-control study and 38,566 participants from the UK Biobank, for whom genotype array data were also available), we apply clinical standard-of-care gene variant curation for eight monogenic metabolic conditions. Rare variants causing monogenic diabetes and dyslipidemias display effect sizes significantly larger than the top 1% of the corresponding polygenic scores. Nevertheless, penetrance estimates for monogenic variant carriers average 60% or lower for most conditions. We assess epidemiologic and genetic factors contributing to risk prediction in monogenic variant carriers, demonstrating that inclusion of polygenic variation significantly improves biomarker estimation for two monogenic dyslipidemias.
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Affiliation(s)
- Julia K Goodrich
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Moriel Singer-Berk
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Rachel Son
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Abigail Sveden
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Jordan Wood
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Eleina England
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Joanne B Cole
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Ben Weisburd
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Nick Watts
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Lizz Caulkins
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Peter Dornbos
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Ryan Koesterer
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Zachary Zappala
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Haichen Zhang
- School of Medicine, University of Maryland Baltimore, Baltimore, MD, USA
| | - Kristin A Maloney
- School of Medicine, University of Maryland Baltimore, Baltimore, MD, USA
| | - Andy Dahl
- Department of Neurology, UCLA, Los Angeles, CA, USA
| | | | - Gil Atzmon
- Department of Medicine, Albert Einstein College of Medicine, New York, NY, USA
- Faculty of Natural Science, University of Haifa, Haifa, Israel
- Department of Genetics, Albert Einstein College of Medicine, New York, NY, USA
| | | | - Nir Barzilai
- Department of Medicine, Albert Einstein College of Medicine, New York, NY, USA
- Department of Genetics, Albert Einstein College of Medicine, New York, NY, USA
| | - John Blangero
- Department of Human Genetics and South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley, Brownsville and Edinburg, TX, USA
| | - Eric Boerwinkle
- Human Genetics Center, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, USA
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA
| | - Lori L Bonnycastle
- Medical Genomics and Metabolic Genetics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Erwin Bottinger
- The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Donald W Bowden
- Center for Diabetes Research, Wake Forest School of Medicine, Winston-Salem, NC, USA
- Center for Genomics and Personalized Medicine Research, Wake Forest School of Medicine, Winston-Salem, NC, USA
- Department of Biochemistry, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | | | - John C Chambers
- Department of Epidemiology and Biostatistics, Imperial College London, London, UK
- Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore
| | - Nathalie Chami
- The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- The Mindich Child Health and Development Institute, Ichan School of Medicine at Mount Sinai, New York, NY, USA
| | - Edmund Chan
- Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore and National University Health System, Singapore, Singapore
| | - Juliana Chan
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong, China
- Chinese University of Hong Kong-Shanghai Jiao Tong University Joint Research Centre in Diabetes Genomics and Precision Medicine, The Chinese University of Hong Kong, Hong Kong, China
- Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Hong Kong, China
- Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Hong Kong, China
| | - Ching-Yu Cheng
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore, Singapore
- Department of Ophthalmology, Yong Loo Lin School of Medicine, National University of Singapore and National University Health System, Singapore, Singapore
- Duke-NUS Medical School, Singapore, Singapore
| | - Yoon Shin Cho
- Department of Biomedical Science, Hallym University, Chuncheon, South Korea
| | | | - Emilio Córdova
- Instituto Nacional de Medicina Genómica, Mexico City, Mexico
| | - Adolfo Correa
- Department of Medicine, University of Mississippi Medical Center, Jackson, MS, USA
| | - Ralph A DeFronzo
- Department of Medicine, University of Texas Health San Antonio (aka University of Texas Health Science Center at San Antonio), San Antonio, TX, USA
| | - Ravindranath Duggirala
- Department of Human Genetics and South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley, Brownsville and Edinburg, TX, USA
| | - Josée Dupuis
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - Ma Eugenia Garay-Sevilla
- Department of Medical Science, División of Health Science, University of Guanjuato. Campus León. León, Guanjuato, Mexico
| | | | - Christian Gieger
- Research Unit Molecular Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
- German Center for Diabetes Research (DZD), Neuherberg, Germany
| | - Benjamin Glaser
- Endocrinology and Metabolism Service, Hadassah-Hebrew University Medical Center, Jerusalem, Israel
| | - Clicerio González-Villalpando
- Unidad de Investigacion en Diabetes y Riesgo Cardiovascular, Instituto Nacional de Salud Publica, Cuernavaca, Mexico
| | | | - Niels Grarup
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Leif Groop
- Department of Clinical Sciences, Diabetes and Endocrinology, Lund University Diabetes Centre, Malmö, Sweden
- Institute for Molecular Genetics Finland, University of Helsinki, Helsinki, Finland
| | - Myron Gross
- Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, MN, USA
| | - Christopher Haiman
- Department of Preventive Medicine, Keck School of Medicine of USC, Los Angeles, CA, USA
| | - Sohee Han
- Division of Genome Research, Center for Genome Science, National Institute of Health, Chungcheongbuk-do, South Korea
| | - Craig L Hanis
- Human Genetics Center, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Torben Hansen
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Nancy L Heard-Costa
- Boston University and National Heart Lung and Blood Institute's Framingham Heart Study, Framingham, MA, USA
- Department of Neurology, Boston University School of Medicine, Boston, MA, USA
| | - Brian E Henderson
- Department of Preventive Medicine, Keck School of Medicine of USC, Los Angeles, CA, USA
| | - Juan Manuel Malacara Hernandez
- Department of Medical Science, División of Health Science, University of Guanjuato. Campus León. León, Guanjuato, Mexico
| | - Mi Yeong Hwang
- Division of Genome Research, Center for Genome Science, National Institute of Health, Chungcheongbuk-do, South Korea
| | | | - Marit E Jørgensen
- Steno Diabetes Center Copenhagen, Gentofte, Denmark
- National Institute of Public Health, University of Southern Denmark, Copenhagen, Denmark
- Greenland Centre for Health Research, University of Greenland, Nuuk, Greenland
| | - Hyun Min Kang
- Department of Biostatistics and Center for Statistical Genetics, University of Michigan, Ann Arbor, MI, USA
| | - Bong-Jo Kim
- Division of Genome Research, Center for Genome Science, National Institute of Health, Chungcheongbuk-do, South Korea
| | - Young Jin Kim
- Division of Genome Research, Center for Genome Science, National Institute of Health, Chungcheongbuk-do, South Korea
| | - Heikki A Koistinen
- Department of Public Health Solutions, Finnish Institute for Health and Welfare, Helsinki, Finland
- University of Helsinki and Department of Medicine, Helsinki University Central Hospital, Helsinki, Finland
- Minerva Foundation Institute for Medical Research, Helsinki, Finland
| | - Jaspal Singh Kooner
- Department of Cardiology, Ealing Hospital, London North West Healthcare NHS Trust, London, UK
- MRC-PHE Centre for Environment and Health, Imperial College London, London, UK
- Imperial College Healthcare NHS Trust, Imperial College London, London, UK
- National Heart and Lung Institute, Imperial College London, London, UK
| | - Johanna Kuusisto
- Institute of Clinical Medicine, Internal Medicine, University of Eastern Finland and Kuopio University Hospital, Kuopio, Finland
| | - Soo-Heon Kwak
- Department of Internal Medicine, Seoul National University Hospital, Seoul, South Korea
| | - Markku Laakso
- Institute of Clinical Medicine, Internal Medicine, University of Eastern Finland and Kuopio University Hospital, Kuopio, Finland
| | - Leslie Lange
- Department of Medicine, University of Colorado Denver, Anschutz Medical Campus, Aurora, CO, USA
| | - Jong-Young Lee
- Oneomics Soonchunhyang Mirae Medical Center, Bucheon-si Gyeonggi-do, Republic of Korea
| | - Juyoung Lee
- Division of Genome Research, Center for Genome Science, National Institute of Health, Chungcheongbuk-do, South Korea
| | - Donna M Lehman
- Department of Medicine, University of Texas Health San Antonio (aka University of Texas Health Science Center at San Antonio), San Antonio, TX, USA
| | - Allan Linneberg
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Center for Clinical Research and Prevention, Bispebjerg and Frederiksberg Hospital, Copenhagen, Denmark
- Department of Clinical Experimental Research, Rigshospitalet, Copenhagen, Denmark
| | - Jianjun Liu
- Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore and National University Health System, Singapore, Singapore
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore, Singapore
- Genome Institute of Singapore, Agency for Science Technology and Research, Singapore, Singapore
| | - Ruth J F Loos
- The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- The Mindich Child Health and Development Institute, Ichan School of Medicine at Mount Sinai, New York, NY, USA
| | - Valeriya Lyssenko
- Centro de Estudios en Diabetes, Mexico City, Mexico
- Department of Clinical Science, University of Bergen, Bergen, Norway
| | - Ronald C W Ma
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong, China
- Chinese University of Hong Kong-Shanghai Jiao Tong University Joint Research Centre in Diabetes Genomics and Precision Medicine, The Chinese University of Hong Kong, Hong Kong, China
- Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Hong Kong, China
- Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Hong Kong, China
| | | | - James B Meigs
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
- Division of General Internal Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Thomas Meitinger
- Institute of Human Genetics, Technical University of Munich, Munich, Germany
- German Centre for Cardiovascular Research (DZHK), Partner Site Munich Heart Alliance, Munich, Germany
| | | | - Karen L Mohlke
- Department of Genetics, University of North Carolina Chapel Hill, Chapel Hill, NC, USA
| | - Andrew D Morris
- Wellcome Centre for Human Genetics, Nuffield Department of Medicine, University of Oxford, Oxford, UK
- Department of Biostatistics, University of Liverpool, Liverpool, UK
| | - Alanna C Morrison
- Human Genetics Center, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Maggie C Y Ng
- Center for Diabetes Research, Wake Forest School of Medicine, Winston-Salem, NC, USA
- Center for Genomics and Personalized Medicine Research, Wake Forest School of Medicine, Winston-Salem, NC, USA
- Department of Biochemistry, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Peter M Nilsson
- Department of Clinical Sciences, Medicine, Lund University, Malmö, Sweden
| | - Christopher J O'Donnell
- Department of Pediatrics, Harvard Medical School, Boston, MA, USA
- Section of Cardiology, Department of Medicine, VA Boston Healthcare, Boston, MA, USA
- Brigham and Women's Hospital, Boston, MA, USA
- Intramural Administration Management Branch, National Heart Lung and Blood Institute, NIH, Framingham, MA, USA
| | - Lorena Orozco
- Instituto Nacional de Medicina Genómica, Mexico City, Mexico
| | - Colin N A Palmer
- Pat Macpherson Centre for Pharmacogenetics and Pharmacogenomics, University of Dundee, Dundee, UK
| | - Kyong Soo Park
- Department of Internal Medicine, Seoul National University Hospital, Seoul, South Korea
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, South Korea
- Department of Molecular Medicine and Biopharmaceutical Sciences, Graduate School of Convergence Science and Technology, Seoul National University, Seoul, South Korea
| | - Wendy S Post
- Division of Cardiology, Department of Medicine, Johns Hopkins University, Baltimore, MD, USA
| | - Oluf Pedersen
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Michael Preuss
- The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Bruce M Psaty
- Cardiovascular Health Research Unit, Departments of Medicine, Epidemiology, and Health Services, University of Washington, Seattle, WA, USA
- Kaiser Permanente Washington Research Institute, Seattle, WA, USA
| | | | | | - Stephen S Rich
- Center for Public Health Genomics, University of Virginia School of Medicine, Charlottesville, VA, USA
| | - Jerome I Rotter
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation (formerly Los Angeles Biomedical Research Institute) at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Danish Saleheen
- Division of Translational Medicine and Human Genetics, University of Pennsylvania, Philadelphia, PA, USA
- Department of Biostatistics and Epidemiology, University of Pennsylvania, Philadelphia, PA, USA
- Center for Non-Communicable Diseases, Karachi, Pakistan
| | - Claudia Schurmann
- The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Digital Health Center, Hasso Plattner Institute, University of Potsdam, Prof.-Dr.-Helmert-Str. 2-3, Potsdam, Germany
- Hasso Plattner Institute for Digital Health at Mount Sinai, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, New York, NY, USA
| | - Xueling Sim
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore, Singapore
| | - Rob Sladek
- Department of Human Genetics, McGill University, Montreal, QC, Canada
- Division of Endocrinology and Metabolism, Department of Medicine, McGill University, Montreal, QC, Canada
- McGill University and Génome Québec Innovation Centre, Montreal, QC, Canada
| | - Kerrin S Small
- Department of Twin Research and Genetic Epidemiology, King's College London, London, UK
| | - Wing Yee So
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong, China
- Chinese University of Hong Kong-Shanghai Jiao Tong University Joint Research Centre in Diabetes Genomics and Precision Medicine, The Chinese University of Hong Kong, Hong Kong, China
- Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Hong Kong, China
| | - Timothy D Spector
- Department of Twin Research and Genetic Epidemiology, King's College London, London, UK
| | - Konstantin Strauch
- Institute of Genetic Epidemiology, Helmholtz Zentrum Munchen, German Research Center for Environmental Health, Neuherberg, Germany
- Institute for Medical Informatics Biometry and Epidemiology, Ludwig-Maximilians University, Munich, Germany
| | - Tim M Strom
- Institute of Human Genetics, Technical University of Munich, Munich, Germany
- Institute of Human Genetics, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
| | - E Shyong Tai
- Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore and National University Health System, Singapore, Singapore
- Duke-NUS Medical School, Singapore, Singapore
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore, Singapore
| | - Claudia H T Tam
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong, China
- Chinese University of Hong Kong-Shanghai Jiao Tong University Joint Research Centre in Diabetes Genomics and Precision Medicine, The Chinese University of Hong Kong, Hong Kong, China
- Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Hong Kong, China
| | - Yik Ying Teo
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore, Singapore
- Life Sciences Institute, National University of Singapore, Singapore, Singapore
- Department of Statistics and Applied Probability, National University of Singapore, Singapore, Singapore
| | - Farook Thameem
- Department of Biochemistry, Faculty of Medicine, Health Science Center, Kuwait University, Safat, Kuwait
| | - Brian Tomlinson
- Faculty of Medicine, Macau University of Science & Technology, Macau, China
| | - Russell P Tracy
- Department of Pathology and Laboratory Medicine, The Robert Larner M.D. College of Medicine, University of Vermont, Burlington, VT, USA
- Department of Biochemistry, The Robert Larner M.D. College of Medicine, University of Vermont, Burlington, VT, USA
| | - Tiinamaija Tuomi
- Department of Clinical Sciences, Diabetes and Endocrinology, Lund University Diabetes Centre, Malmö, Sweden
- Institute for Molecular Genetics Finland, University of Helsinki, Helsinki, Finland
- Folkhälsan Research Centre, Helsinki, Finland
- Department of Endocrinology, Abdominal Centre, Helsinki University Hospital, Helsinki, Finland
- Research Programs Unit, Clinical and Molecular Medicine, University of Helsinki, Helsinki, Finland
| | - Jaakko Tuomilehto
- Public Health Promotion Unit, Finnish Institute for Health and Welfare, Helsinki, Finland
- Department of Public Health, University of Helsinki, Helsinki, Finland
- Saudi Diabetes Research Group, King Abdulaziz University, Jeddah, Saudi Arabia
- Department of International Health, National School of Public Health, Instituto de Salud Carlos III, Madrid, Spain
| | - Teresa Tusié-Luna
- Unidad de Biología Molecular y Medicina Genómica, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City, Mexico
- Departamento de Medicina Genómica y Toxiología Ambiental, Instituto de Investigaciones Biomédicas, UNAM, Mexico City, Mexico
| | - Rob M van Dam
- Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore and National University Health System, Singapore, Singapore
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore, Singapore
- Department of Nutrition, Harvard School of Public Health, Boston, MA, USA
| | - Ramachandran S Vasan
- Boston University and National Heart Lung and Blood Institute's Framingham Heart Study, Framingham, MA, USA
- Preventive Medicine & Epidemiology, and Cardiovascular Medicine, Medicine, Boston University School of Medicine, and Epidemiology, Boston University School of Public health, Boston, MA, USA
| | - James G Wilson
- Department of Physiology and Biophysics, University of Mississippi Medical Center, Jackson, MS, USA
| | - Daniel R Witte
- Department of Public Health, Aarhus University, Aarhus, Denmark
- Danish Diabetes Academy, Odense, Denmark
| | - Tien-Yin Wong
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore, Singapore
- Department of Ophthalmology, Yong Loo Lin School of Medicine, National University of Singapore and National University Health System, Singapore, Singapore
- Duke-NUS Medical School, Singapore, Singapore
| | - Noël P Burtt
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Noah Zaitlen
- Department of Neurology, UCLA, Los Angeles, CA, USA
| | - Mark I McCarthy
- Oxford Centre for Diabetes, Endocrinology and Metabolism, Radcliffe Department of Medicine, University of Oxford, Oxford, UK
- Wellcome Centre for Human Genetics, Nuffield Department of Medicine, University of Oxford, Oxford, UK
- Genentech, South San Francisco, CA, USA
| | - Michael Boehnke
- Department of Biostatistics and Center for Statistical Genetics, University of Michigan, Ann Arbor, MI, USA
| | - Toni I Pollin
- School of Medicine, University of Maryland Baltimore, Baltimore, MD, USA
| | - Jason Flannick
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Division of Genetics and Genomics, Boston Children's Hospital, Boston, Massachusetts, USA
- Department of Pediatrics, Harvard Medical School, Boston, MA, USA
| | - Josep M Mercader
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Diabetes Unit and Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - Anne O'Donnell-Luria
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Division of Genetics and Genomics, Boston Children's Hospital, Boston, Massachusetts, USA
- Department of Pediatrics, Harvard Medical School, Boston, MA, USA
| | - Samantha Baxter
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Jose C Florez
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Diabetes Unit and Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - Daniel G MacArthur
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Centre for Population Genomics, Garvan Institute of Medical Research, UNSW Sydney, Sydney, NSW, Australia
- Centre for Population Genomics, Murdoch Children's Research Institute, Melbourne, VIC, Australia
| | - Miriam S Udler
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
- Diabetes Unit and Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA.
- Department of Medicine, Harvard Medical School, Boston, MA, USA.
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Liu CX, Yin RX, Shi ZH, Zheng PF, Deng GX, Guan YZ, Wei BL. Associations between TUBB-WWOX SNPs, their haplotypes, gene-gene, and gene-environment interactions and dyslipidemia. Aging (Albany NY) 2021; 13:5906-5927. [PMID: 33612478 PMCID: PMC7950260 DOI: 10.18632/aging.202514] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2020] [Accepted: 12/29/2020] [Indexed: 04/21/2023]
Abstract
In this study, we investigated associations between single nucleotide polymorphisms (SNPs) in the tubulin beta class I (TUBB) and WW domain-containing oxidoreductase (WWOX) genes, gene-gene interactions, and gene-environment interactions and dyslipidemia in the Chinese Maonan ethnic group. Four SNPs (rs3132584, rs3130685, rs2222896, and rs2548861) were genotyped in unrelated subjects with normal lipid levels (864) or dyslipidemia (1129). While 5.0% of Maonan subjects carried the rs3132584TT genotype, none of the Chinese Han in Beijing subjects did. Allele and genotype frequencies differed between the normal and dyslipidemia groups for three SNPs (rs3132584, rs3130685, and rs2222896). rs2222896G allele carriers in the normal group had higher low-density lipoprotein cholesterol and lower high-density lipoprotein cholesterol levels. The rs3132584GG, rs3130685CC+TT, and rs2222896GG genotypes as well as the rs2222896G-rs2548861G and rs2222896G-rs2548861T haplotypes were associated with an elevated risk of dyslipidemia; the rs2222896A-rs2548861T and rs2222896A-rs2548861G haplotypes were associated with a reduced risk of dyslipidemia. Among the thirteen TUBB-WWOX interaction types identified, rs3132584T-rs3130685T-rs2222896G-rs2548861T increased the risk of dyslipidemia 1.371-fold. Fourteen two- to four-locus optimal interactive models for SNP-SNP, haplotype-haplotype, gene-gene, and gene-environment interactions exhibited synergistic or contrasting effects on dyslipidemia. Finally, the interaction between rs3132584 and rs2222896 increased the risk of dyslipidemia 2.548-fold and predicted hypertension.
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Affiliation(s)
- Chun-Xiao Liu
- Department of Cardiology, Institute of Cardiovascular Diseases, The First Affiliated Hospital, Guangxi Medical University, Nanning 530021, Guangxi, People’s Republic of China
| | - Rui-Xing Yin
- Department of Cardiology, Institute of Cardiovascular Diseases, The First Affiliated Hospital, Guangxi Medical University, Nanning 530021, Guangxi, People’s Republic of China
- Guangxi Key Laboratory Base of Precision Medicine in Cardio-Cerebrovascular Disease Control and Prevention, Nanning 530021, Guangxi, People’s Republic of China
- Guangxi Clinical Research Center for Cardio-Cerebrovascular Diseases, Nanning 530021, Guangxi, People’s Republic of China
| | - Zong-Hu Shi
- Department of Prevention and Health Care, The Fourth Affiliated Hospital, Guangxi Medical University, Liuzhou 545005, Guangxi, People’s Republic of China
| | - Peng-Fei Zheng
- Department of Cardiology, Institute of Cardiovascular Diseases, The First Affiliated Hospital, Guangxi Medical University, Nanning 530021, Guangxi, People’s Republic of China
| | - Guo-Xiong Deng
- Department of Cardiology, Institute of Cardiovascular Diseases, The First Affiliated Hospital, Guangxi Medical University, Nanning 530021, Guangxi, People’s Republic of China
| | - Yao-Zong Guan
- Department of Cardiology, Institute of Cardiovascular Diseases, The First Affiliated Hospital, Guangxi Medical University, Nanning 530021, Guangxi, People’s Republic of China
| | - Bi-Liu Wei
- Department of Cardiology, Institute of Cardiovascular Diseases, The First Affiliated Hospital, Guangxi Medical University, Nanning 530021, Guangxi, People’s Republic of China
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Yang Y, Han K, Park SH, Kim MK, Yoon KH, Lee SH. High-Density Lipoprotein Cholesterol and the Risk of Myocardial Infarction, Stroke, and Cause-Specific Mortality: a Nationwide Cohort Study in Korea. J Lipid Atheroscler 2021; 10:74-87. [PMID: 33537255 PMCID: PMC7838511 DOI: 10.12997/jla.2021.10.1.74] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2020] [Revised: 11/05/2020] [Accepted: 11/18/2020] [Indexed: 11/09/2022] Open
Abstract
Objective We aimed to investigate the relationship between high-density lipoprotein cholesterol (HDL-C) level and the risk of myocardial infarction (MI), stroke, and cause-specific mortality. Methods Using the Korean National Health Insurance Service-National Sample Cohort, we identified 343,687 subjects (men, 176,243; women, 167,444) aged ≥20 years who underwent health examinations between 2009 and 2012. HDL-C levels were categorized based on the concentration with 10 mg/dL intervals, starting from levels <30 mg/dL, with levels ≥90 mg/dL considered the highest. The endpoints of the study were newly-diagnosed MI, stroke, or mortality. We used the Cox proportional hazards model with restricted cubic splines. Results During a median follow-up of 6.0 years, the number of cases of death, MI, and stroke were 6,617, 4,064, and 3,435 in men and 3,677, 2,804, and 2,891 in women, respectively. The risk of all-cause mortality, cancer mortality, other mortality, and stroke was the lowest at HDL-C concentrations of 57-76 mg/dL in the spline curves; inverse associations with increased risk were observed at the lower HDL-C levels. In contrast, the lowest risk of cardiovascular mortality and MI was observed at the extreme high end. In men, there was a significant inverse and graded increase in hazard ratios of all outcomes in the lower HDL-C categories compared to the reference group (50-59 mg/dL). In the higher HDL-C categories, no significant increase in outcomes was observed. Women showed similar trends. Conclusion The risk of mortality, MI, and stroke was high at low HDL-C levels in the Korean general population. However, extremely high HDL-C levels were not associated with an increased risk of mortality, MI, and stroke.
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Affiliation(s)
- Yeoree Yang
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea.,Catholic Smart Health Care Center, The Catholic University of Korea, Seoul, Korea
| | - Kyungdo Han
- Department of Statistics and Actuarial Science, Soongsil University, Seoul, Korea
| | - Sang Hyun Park
- Department of Medical Statistics, College of Medicine, The Catholic University of Korea, Seoul, Korea
| | - Mee Kyoung Kim
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Yeouido St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea
| | - Kun-Ho Yoon
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea.,Department of Medical Informatics, College of Medicine, The Catholic University of Korea, Seoul, Korea
| | - Seung-Hwan Lee
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea.,Department of Medical Informatics, College of Medicine, The Catholic University of Korea, Seoul, Korea
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29
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Gong J, Asher SB, Cucchiara B, Cuchel M, Soffer D. Case report: 68 yo Chinese-American woman with high HDL-C and ischemic stroke attributed to intracranial atherosclerotic stenosis. J Clin Lipidol 2021; 15:248-254. [PMID: 33573892 DOI: 10.1016/j.jacl.2021.01.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2020] [Revised: 01/05/2021] [Accepted: 01/19/2021] [Indexed: 11/30/2022]
Abstract
Atherosclerotic cardiovascular disease (ASCVD) events are the most common cause of death in the United States and for most individuals who experience these events, may be predicted by risk identification tools. ASCVD risk calculators enable a clinician-patient discussion and the presence of risk-enhancing factors may further inform decision-making with respect to preventive pharmacotherapy, especially statin prescription. In cases where the decision of whether to treat with medicine is unclear, coronary artery calcium scoring by computed tomography offers enhanced risk stratification and may allow both clinicians and patients to feel more at ease with the decision to withhold statin therapy. Despite this thoughtful approach, individual risk may still be underestimated. We present a case of a woman whose family history suggested increased short- and long-term ASCVD risk due to intracranial atherosclerosis, but whose tests suggested a more equivocal indication for treatment. Neither she nor her clinician appreciated the presence of significant enough risk to persevere through minor statin side effects for primary prevention, but she was lucky to have survived without appreciable harm from an acute cerebrovascular event and is now able to pursue an appropriate secondary preventive strategy. We discuss how exceptional characteristics may mislead clinicians, including misperception about lower risk due to gender, East Asian predisposition to intracranial more than coronary atherosclerosis, high levels of high density lipoprotein cholesterol (HDL-C), and CACS = 0.
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Affiliation(s)
- Jan Gong
- Perelman School of Medicine at the University of Pennsylvania
| | | | - Brett Cucchiara
- Perelman School of Medicine at the University of Pennsylvania
| | - Marina Cuchel
- Perelman School of Medicine at the University of Pennsylvania
| | - Daniel Soffer
- Perelman School of Medicine at the University of Pennsylvania.
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Functional Haplotype of LIPC Induces Triglyceride-Mediated Suppression of HDL-C Levels According to Genome-Wide Association Studies. Genes (Basel) 2021; 12:genes12020148. [PMID: 33499410 PMCID: PMC7910859 DOI: 10.3390/genes12020148] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2020] [Revised: 01/11/2021] [Accepted: 01/19/2021] [Indexed: 01/08/2023] Open
Abstract
Hepatic lipase (encoded by LIPC) is a glycoprotein in the triacylglycerol lipase family and mainly synthesized in and secreted from the liver. Previous studies demonstrated that hepatic lipase is crucial for reverse cholesterol transport and modulating metabolism and the plasma levels of several lipoproteins. This study was conducted to investigate the suppression effect of high-density lipoprotein cholesterol (HDL-C) levels in a genome-wide association study and explore the possible mechanisms linking triglyceride (TG) to LIPC variants and HDL-C. Genome-wide association data for TG and HDL-C were available for 4657 Taiwan-biobank participants. The prevalence of haplotypes in the LIPC promoter region and their effects were calculated. The cloned constructs of the haplotypes were expressed transiently in HepG2 cells and evaluated in a luciferase reporter assay. Genome-wide association analysis revealed that HDL-C was significantly associated with variations in LIPC after adjusting for TG. Three haplotypes (H1: TCG, H2: CTA and H3: CCA) in LIPC were identified. H2: CTA was significantly associated with HDL-C levels and H1: TCG suppressed HDL-C levels when a third factor, TG, was included in mediation analysis. The luciferase reporter assay further showed that the H2: CTA haplotype significantly inhibited luciferase activity compared with the H1: TCG haplotype. In conclusion, we identified a suppressive role for TG in the genome-wide association between LIPC and HDL-C. A functional haplotype of hepatic lipase may reduce HDL-C levels and is suppressed by TG.
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Spiritos Z, Abdelmalek MF. Metabolic syndrome following liver transplantation in nonalcoholic steatohepatitis. Transl Gastroenterol Hepatol 2021; 6:13. [PMID: 33409407 DOI: 10.21037/tgh.2020.02.07] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/22/2019] [Accepted: 10/16/2019] [Indexed: 12/13/2022] Open
Abstract
Metabolic syndrome is a major clinical disorder involving metabolic dysregulation characterized clinically with features of central obesity, insulin resistance (IR), type 2 diabetes, hypertension, and dyslipidemia. Metabolic syndrome is strongly associated with the rising prevalence nonalcoholic steatohepatitis, a leading indication for orthotopic liver transplantation in the Western world. The presence or recurrence of metabolic syndrome following liver transplantation can contribute to the development and recurrence of nonalcoholic fatty liver disease (NAFLD) in the liver allograft. In this review, we discuss the endogenous and exogenous drivers of post-transplant metabolic syndrome, role of chronic immunosuppression, and the prevalence and clinical significant of post-transplant metabolic syndrome on nonalcoholic steatohepatitis.
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Affiliation(s)
- Zachary Spiritos
- Division of Gastroenterology and Hepatology, Duke University, Durham, NC, USA
| | - Manal F Abdelmalek
- Division of Gastroenterology and Hepatology, Duke University, Durham, NC, USA
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Goyal S, Sanghera DK. Genetic and Non-genetic Determinants of Cardiovascular Disease in South Asians. Curr Diabetes Rev 2021; 17:e011721190373. [PMID: 33461471 PMCID: PMC10370262 DOI: 10.2174/1573399817666210118103022] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/17/2020] [Revised: 11/18/2020] [Accepted: 11/20/2020] [Indexed: 01/09/2023]
Abstract
South Asians (SAs), people from the Indian subcontinent (e.g., India, Pakistan, Bangladesh, Sri Lanka, and Nepal) have a higher prevalence of cardiovascular disease (CVD) and suffer from a greater risk of CVD-associated mortality compared to other global populations. These problems are compounded by the alterations in lifestyles due to urbanization and changing cultural, social, economic, and political environments. Current methods of CV risk prediction are based on white populations that under-estimate the CVD risk in SAs. Prospective studies are required to obtain actual CVD morbidity/mortality rates so that comparisons between predicted CVD risk can be made with actual events. Overwhelming data support a strong influence of genetic factors. Genome-Wide Association Studies (GWAS) serve as a starting point for future genetic and functional studies since the mechanisms of action by which these associated loci influence CVD is still unclear. It is difficult to predict the potential implication of these findings in clinical settings. This review provides a systematic assessment of the risk factors, genetics, and environmental causes of CV health disparity in SAs, and highlights progress made in clinical and genomics discoveries in the rapidly evolving field, which has the potential to show clinical relevance in the near future.
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Affiliation(s)
- Shiwali Goyal
- Department of Pediatrics, Section of Genetics, College of Medicine, University of Oklahoma Health Sciences Center, Oklahoma City, OK, United States
| | - Dharambir K Sanghera
- Department of Pediatrics, Section of Genetics, College of Medicine, University of Oklahoma Health Sciences Center, Oklahoma City, OK, United States
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Marahatha R, Basnet S, Bhattarai BR, Budhathoki P, Aryal B, Adhikari B, Lamichhane G, Poudel DK, Parajuli N. Potential natural inhibitors of xanthine oxidase and HMG-CoA reductase in cholesterol regulation: in silico analysis. BMC Complement Med Ther 2021; 21:1. [PMID: 33386071 PMCID: PMC7775628 DOI: 10.1186/s12906-020-03162-5] [Citation(s) in RCA: 61] [Impact Index Per Article: 20.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2020] [Accepted: 11/23/2020] [Indexed: 12/30/2022] Open
Abstract
Background Hypercholesterolemia has posed a serious threat of heart diseases and stroke worldwide. Xanthine oxidase (XO), the rate-limiting enzyme in uric acid biosynthesis, is regarded as the root of reactive oxygen species (ROS) that generate atherosclerosis and cholesterol crystals. β-Hydroxy β-methylglutaryl-coenzyme A reductase (HMGR) is a rate-limiting enzyme in cholesterol biosynthesis. Although some commercially available enzyme inhibiting drugs have effectively reduced cholesterol levels, most of them have failed to meet potential drug candidates’ requirements. Here, we have carried out an in-silico analysis of secondary metabolites that have already shown good inhibitory activity against XO and HMGR in a wet lab setup. Methods Out of 118 secondary metabolites reviewed, sixteen molecules inhibiting XO and HMGR were selected based on the IC50 values reported in in vitro assays. Further, receptor-based virtual screening was carried out against secondary metabolites using GOLD Protein-Ligand Docking Software, combined with subsequent post-docking, to study the binding affinities of ligands to the enzymes. In-silico ADMET analysis was carried out to explore their pharmacokinetic properties, followed by toxicity prediction through ProTox-II. Results The molecular docking of amentoflavone (GOLD score 70.54, ∆G calc. = − 10.4 Kcal/mol) and ganomycin I (GOLD score 59.61, ∆G calc. = − 6.8 Kcal/mol) displayed that the drug has effectively bound at the competitive site of XO and HMGR, respectively. Besides, 6-paradol and selgin could be potential drug candidates inhibiting XO. Likewise, n-octadecanyl-O-α-D-glucopyranosyl (6′ → 1″)-O-α-D-glucopyranoside could be potential drug candidates to maintain serum cholesterol. In-silico ADMET analysis has shown that these sixteen metabolites were optimal within the categorical range compared to commercially available XO and HMGR inhibitors, respectively. Toxicity analysis through ProTox-II revealed that 6-gingerol, ganoleucoin K, and ganoleucoin Z are toxic for human use. Conclusion This computational analysis supports earlier experimental evidence towards the inhibition of XO and HMGR by natural products. Further study is necessary to explore the clinical efficacy of these secondary molecules, which might be alternatives for the treatment of hypercholesterolemia.
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Affiliation(s)
- Rishab Marahatha
- Central Department of Chemistry, Tribhuvan University, Kirtipur, Kathmandu, Nepal
| | - Saroj Basnet
- Center for Drug Design and Molecular Simulation Division, Cancer Care Nepal and Research Center, Jorpati, Kathmandu, Nepal
| | - Bibek Raj Bhattarai
- Central Department of Chemistry, Tribhuvan University, Kirtipur, Kathmandu, Nepal
| | - Prakriti Budhathoki
- Central Department of Chemistry, Tribhuvan University, Kirtipur, Kathmandu, Nepal
| | - Babita Aryal
- Central Department of Chemistry, Tribhuvan University, Kirtipur, Kathmandu, Nepal
| | - Bikash Adhikari
- Central Department of Chemistry, Tribhuvan University, Kirtipur, Kathmandu, Nepal
| | - Ganesh Lamichhane
- Central Department of Chemistry, Tribhuvan University, Kirtipur, Kathmandu, Nepal
| | - Darbin Kumar Poudel
- Central Department of Chemistry, Tribhuvan University, Kirtipur, Kathmandu, Nepal
| | - Niranjan Parajuli
- Central Department of Chemistry, Tribhuvan University, Kirtipur, Kathmandu, Nepal.
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Hannon BA, Edwards CG, Thompson SV, Burke SK, Burd NA, Holscher HD, Teran-Garcia M, Khan NA. Genetic Variants in Lipid Metabolism Pathways Interact with Diet to Influence Blood Lipid Concentrations in Adults with Overweight and Obesity. Lifestyle Genom 2020; 13:155-163. [PMID: 33105144 DOI: 10.1159/000507021] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2019] [Accepted: 02/28/2020] [Indexed: 01/06/2023] Open
Abstract
INTRODUCTION The effect of various types of dietary fat on cardiometabolic health continues to be debated, due in part to the high heterogeneity of results following clinical trials investigating the effects of saturated (SFA) and unsaturated fat intake. This variability may be due to genetic differences. Individuals with obesity are at an increased risk for adverse cardiometabolic health and dyslipidemia, and often present with the combined phenotype of elevated triglyceride (TG) and decreased high-density lipoprotein (HDL) cholesterol concentrations. Studying genetic variants relevant to lipid and lipoprotein metabolism can elucidate the mechanisms by which diet might interact with genotype to influence these phenotypes. The objective of this study was to determine relationships of genetic variation, dietary fat intake, and blood lipid concentrations in adults with overweight and obesity. METHODS Genomic DNA, blood lipid concentrations (HDL and TG), and 7-day diet records were obtained from 101 adults (25-45 years of age) with overweight or obesity. Resting energy expenditure (REE) was measured using indirect calorimetry and used to determine implausible intakes using a modified Goldberg method (kilocalories/REE). Genetic variants included 23 single-nucleotide polymorphisms (SNPs) from 15 genes in lipid metabolism pathways. Variants were analyzed with dietary fat intake (total fat, SFA, monounsaturated fat [MUFA], and polyunsaturated fat [PUFA]) via regression analyses. All models were adjusted for age, sex, ancestry, visceral adipose tissue mass, and total kilocalorie intake. The Bonferroni correction was applied for multiple comparisons. RESULTS Two interactions were detected for TG concentrations. Five gene-diet interactions were associated with HDL concentrations. There was a significant interaction detected between the rs5882 variant of cholesterol-esterase transfer protein (CETP) and MUFA intake to associate with TG concentrations (interaction p = 0.004, R2 = 0.306). Among carriers of the CETP-rs5882 major allele (G), TG concentrations were significantly lower in individuals consuming more than the median MUFA intake (31 g/day) than in those with an intake below the median. Total dietary fat intake interacted with the rs13702 polymorphism of lipoprotein lipase (LPL) to associate with HDL concentrations (interaction p = 0.041, R2 = 0.419), by which individuals with the risk allele (G) had significantly higher HDL concentrations when consuming a higher-fat diet (>92 g/day) than those with a lower-fat diet (56 ± 3 vs. 46 ± 2 mg/dL, p = 0.033). CONCLUSIONS Interactions between dietary intake and genes in lipid metabolism pathways were found to be associated with blood lipid concentrations in adults with overweight and obesity. Fatty acid intake may not modulate blood lipid concentrations uniformly across all individuals. Additional research is needed to determine the biological causes of individual variability in response to dietary intake. Understanding the influence of nutrigenetic interactions on dyslipidemia can aid in the development and implementation of personalized dietary strategies to improve health.
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Affiliation(s)
- Bridget A Hannon
- Division of Nutritional Sciences, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA
| | - Caitlyn G Edwards
- Division of Nutritional Sciences, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA
| | - Sharon V Thompson
- Division of Nutritional Sciences, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA
| | - Sarah K Burke
- Department of Physical Therapy, University of Florida, Gainesville, Florida, USA
| | - Nicholas A Burd
- Division of Nutritional Sciences, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA.,Department of Kinesiology and Community Health, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA
| | - Hannah D Holscher
- Division of Nutritional Sciences, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA.,Department of Food Science and Human Nutrition, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA
| | - Margarita Teran-Garcia
- Division of Nutritional Sciences, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA.,Department of Human Development and Family Studies, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA
| | - Naiman A Khan
- Division of Nutritional Sciences, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA, .,Department of Kinesiology and Community Health, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA,
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Yasuda M, Sato H, Hashimoto K, Osada U, Hariya T, Nakayama H, Asano T, Suzuki N, Okabe T, Yamazaki M, Uematsu M, Munakata M, Nakazawa T. Carotid artery intima-media thickness, HDL cholesterol levels, and gender associated with poor visual acuity in patients with branch retinal artery occlusion. PLoS One 2020; 15:e0240977. [PMID: 33091078 PMCID: PMC7580897 DOI: 10.1371/journal.pone.0240977] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2020] [Accepted: 10/06/2020] [Indexed: 12/25/2022] Open
Abstract
PURPOSE To investigate factors associated with poor visual acuity (VA) in branch retinal artery occlusion (BRAO). METHODS This was a retrospective cross-sectional study of 72 eyes with BRAO of 72 patients. For statistical comparison, we divided the patients into worse-VA (decimal VA < 0.5) and better-VA (decimal VA > = 0.5) groups. We examined the association of clinical findings, including blood biochemical test data and carotid artery ultrasound parameters, with poor VA. RESULTS Median age, hematocrit, hemoglobin and high-density lipoprotein (HDL) differed significantly between the groups (P = 0.018, P < 0.01, P < 0.01, and P = 0.025). There was a tendency towards higher median IMT-Bmax in the worse-VA group (worse-VA vs. better-VA: 2.70 mm vs. 1.60 mm, P = 0.152). Spearman's rank correlation test revealed that logMAR VA was significantly correlated to IMT-Bmax (rs = 0.31, P < 0.01) and IMT-Cmax (rs = 0.24, P = 0.035). Furthermore, logMAR VA was significantly correlated to HDL level (rs = -0.33, P < 0.01). Multivariate logistic regression analysis revealed that IMT-Bmax (odds ratio [OR] = 2.70, P = 0.049), HDL level (OR = 0.91, P = 0.032), and female gender (OR = 15.63, P = 0.032) were independently associated with worse VA in BRAO. CONCLUSIONS We found that increased IMT-Bmax, decreased HDL, and female sex were associated with poor VA in BRAO patients. Our findings might suggest novel risk factors for visual dysfunction in BRAO and may provide new insights into the pathomechanisms underlying BRAO.
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Affiliation(s)
- Masayuki Yasuda
- Department of Ophthalmology, Tohoku University Graduate School of Medicine, Sendai, Miyagi, Japan
| | - Hajime Sato
- Yaotome Sato Hajime Eye Clinic, Miyagi, Japan
| | - Kazuki Hashimoto
- Department of Ophthalmology, Tohoku University Graduate School of Medicine, Sendai, Miyagi, Japan
| | - Urara Osada
- Department of Ophthalmology, Tohoku University Graduate School of Medicine, Sendai, Miyagi, Japan
| | - Takehiro Hariya
- Department of Ophthalmology, Tohoku University Graduate School of Medicine, Sendai, Miyagi, Japan
| | - Hiroko Nakayama
- Department of Ophthalmology, JR Sendai Hospital, Sendai, Miyagi, Japan
| | - Toshifumi Asano
- Department of Ophthalmology, Tohoku University Graduate School of Medicine, Sendai, Miyagi, Japan
| | - Noriyuki Suzuki
- Department of Ophthalmology, Tohoku University Graduate School of Medicine, Sendai, Miyagi, Japan
| | - Tatsu Okabe
- Department of Ophthalmology, Tohoku University Graduate School of Medicine, Sendai, Miyagi, Japan
- Department of Ophthalmology, Tohoku Rosai Hospital, Sendai, Miyagi, Japan
| | - Mai Yamazaki
- Department of Ophthalmology, Tohoku University Graduate School of Medicine, Sendai, Miyagi, Japan
- Seiryo Eye Clinic, Miyagi, Japan
| | - Megumi Uematsu
- Department of Ophthalmology, Tohoku Rosai Hospital, Sendai, Miyagi, Japan
| | - Masanori Munakata
- Division of Hypertension & Research Center for Lifestyle-Related Disease, Tohoku Rosai Hospital, Sendai, Miyagi, Japan
| | - Toru Nakazawa
- Department of Ophthalmology, Tohoku University Graduate School of Medicine, Sendai, Miyagi, Japan
- Department of Ophthalmic Imaging and Information Analytics, Tohoku University Graduate School of Medicine, Sendai, Miyagi, Japan
- Department of Retinal Disease Control, Tohoku University Graduate School of Medicine, Sendai, Miyagi, Japan
- Department of Advanced Ophthalmic Medicine, Tohoku University Graduate School of Medicine, Sendai, Miyagi, Japan
- * E-mail:
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Nienov OH, Machado FD, Dias LS, De Carli LA, Schmid H. Effect of Bariatric Surgery on High-Density Lipoprotein (HDL) Cholesterol in Non-diabetic Patients with Severe Obesity. Obes Surg 2020; 30:154-160. [PMID: 31377991 DOI: 10.1007/s11695-019-04126-6] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Abstract
BACKGROUND This study evaluated changes in serum high-density lipoprotein cholesterol (HDL-C) induced by laparoscopic bariatric surgery (BS) in non-diabetic obese subjects with low (L-HDL-C) or normal (N-HDL-C) levels of HDL-C. We assessed whether increased HDL-C is associated with weight loss, serum non-HDL cholesterol (non-HDL-C), serum triglycerides (TG), and physical activity (PA) before and 6 and 15 months after BS. METHODS In this prospective cohort study, 71 subjects undergoing BS (42 by Roux-en-Y gastric bypass and 29 by sleeve gastrectomy) were evaluated for the % Excess Weight Loss (%EWL), waist circumference (WC), serum levels of glucose, glycosylated hemoglobin, TG, HDL-C, non-HDL-C, and LDL-C, and the degree, time, and energy expenditure related to PA. The short version of the International Physical Activity Questionnaire was used to assess PA. RESULTS Levels of HDL-C significantly increased 15 months after BS (p < 0.001) in subjects with low (p < 0.001) or normal (p = 0.017) values at baseline. A similar %EWL, decrease in WC, glucose, non-HDL-C, and LDL-C levels and increase in energy expenditure related to PA, was observed in both groups (L-HDL-C and N-HDL-C) at 15 months after BS. However, the L-HDL-C group presented greater decrease in TG levels compared with N-HDL-C group (p = 0.004). In subjects with increased HDL-C 15 months after BS, there was an association between this increase and the %EWL (p = 0.030), but there was no association with the change in PA. CONCLUSIONS Irrespective of PA after BS, subjects with low and normal HDL-C levels at baseline showed an increase in HDL-C after BS, and this increase was associated with %EWL induced by BS.
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Affiliation(s)
- Otto Henrique Nienov
- Programa de Pós-Graduação em Ciências da Saúde: Ginecologia e Obstetrícia, UFRGS, Porto Alegre, Brazil
| | - Fernanda Dapper Machado
- Programa de Pós-Graduação em Ciências da Saúde: Ginecologia e Obstetrícia, UFRGS, Porto Alegre, Brazil
| | - Lisiane Stefani Dias
- Programa de Pós-Graduação em Ciências da Saúde: Ginecologia e Obstetrícia, UFRGS, Porto Alegre, Brazil
| | - Luiz Alberto De Carli
- Centro de Tratamento da Obesidade, Hospital Santa Rita do Complexo Hospitalar Santa Casa de Misericórdia de Porto Alegre, Porto Alegre, Brazil
| | - Helena Schmid
- Programa de Pós-Graduação em Ciências da Saúde: Ginecologia e Obstetrícia, UFRGS, Porto Alegre, Brazil. .,Centro de Tratamento da Obesidade, Hospital Santa Rita do Complexo Hospitalar Santa Casa de Misericórdia de Porto Alegre, Porto Alegre, Brazil. .,Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil. .,Departamento de Medicina Interna, UFRGS, Porto Alegre, Brazil.
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Fujii R, Yamada H, Munetsuna E, Yamazaki M, Mizuno G, Ando Y, Maeda K, Tsuboi Y, Ohashi K, Ishikawa H, Hagiwara C, Wakai K, Hashimoto S, Hamajima N, Suzuki K. Dietary fish and ω-3 polyunsaturated fatty acids are associated with leukocyte ABCA1 DNA methylation levels. Nutrition 2020; 81:110951. [PMID: 33045487 DOI: 10.1016/j.nut.2020.110951] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2020] [Revised: 06/08/2020] [Accepted: 07/06/2020] [Indexed: 02/07/2023]
Abstract
OBJECTIVES A diet rich in fish and ω-3 polyunsaturated fatty acids (PUFAs) has been thought to reduce the risk for cardiovascular disease (CVD). The beneficial effects of fish oil and ω-3 PUFA on CVD can be mediated by epigenetic status of the genes associated with lipid metabolism and inflammation. The aim of this study was to investigate whether dietary fish and fatty acid (FA) intakes are associated with leukocyte ATP-binding cassette transporter A1 (ABCA1) DNA methylation levels in a Japanese population. METHODS This cross-sectional study included 298 adults (137 men and 161 women) without clinical history of CVD or cancer. The pyrosequencing method was used to measure leukocyte ABCA1 DNA methylation levels. Dietary fish and FA intakes were assessed based on the validated food frequency questionnaire. RESULTS Mean ABCA1 DNA methylation levels were significantly lower in the highest fish intake groups (≥5-6/wk) compared with the lowest intake group (≤1-2/wk; P = 0.004). In multivariable linear regression analyses, higher dietary intake of ω-3 PUFAs and ω-3 highly unsaturated fatty acids was significantly associated with decreased levels of ABCA1 DNA methylation (P = 0.001 and 0.005); whereas no significant associations were seen between intake of dietary saturated fatty acid, monounsaturated fatty acid, and ω-6 PUFAs and ABCA1 DNA methylation. CONCLUSION Higher dietary fish and ω-3 PUFA intake were associated with lower ABCA1 DNA levels in a Japanese population. The present results may bring potential insights on biological mechanisms underlying the protective effects of dietary fish and ω-3 PUFA intakes on CVD.
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Affiliation(s)
- Ryosuke Fujii
- Department of Preventive Medical Sciences, Fujita Health University School of Medical Sciences, Toyoake, Japan
| | - Hiroya Yamada
- Department of Hygiene, Fujita Health University School of Medicine, Toyoake, Japan
| | - Eiji Munetsuna
- Department of Biochemistry, Fujita Health University School of Medicine, Toyoake, Japan
| | - Mirai Yamazaki
- Department of Medical Technology, Kagawa Prefectural University of Health Sciences, Takamatsu, Japan
| | - Genki Mizuno
- Department of Biomedical and Analytical Sciences, Fujita Health University School of Medical Sciences, Toyoake, Japan
| | - Yoshitaka Ando
- Department of Biomedical and Analytical Sciences, Fujita Health University School of Medical Sciences, Toyoake, Japan
| | - Keisuke Maeda
- Department of Preventive Medical Sciences, Fujita Health University School of Medical Sciences, Toyoake, Japan
| | - Yoshiki Tsuboi
- Department of Preventive Medical Sciences, Fujita Health University School of Medical Sciences, Toyoake, Japan
| | - Koji Ohashi
- Department of Biomedical and Analytical Sciences, Fujita Health University School of Medical Sciences, Toyoake, Japan
| | - Hiroaki Ishikawa
- Department of Biomedical and Analytical Sciences, Fujita Health University School of Medical Sciences, Toyoake, Japan
| | - Chiharu Hagiwara
- Department of Preventive Medical Sciences, Fujita Health University School of Medical Sciences, Toyoake, Japan
| | - Kenji Wakai
- Department of Preventive Medicine, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Shuji Hashimoto
- Department of Hygiene, Fujita Health University School of Medicine, Toyoake, Japan
| | - Nobuyuki Hamajima
- Department of Health Care Administration, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Koji Suzuki
- Department of Preventive Medical Sciences, Fujita Health University School of Medical Sciences, Toyoake, Japan.
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El Shamieh S, Salami A, Stathopoulou MG, Chedid P, Visvikis-Siest S. Increased risk of hypercholesterolemia in a French and Lebanese population due to an interaction between rs2569190 in CD14 and gender. Clin Chim Acta 2020; 509:172-176. [PMID: 32544432 DOI: 10.1016/j.cca.2020.06.020] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2020] [Revised: 06/10/2020] [Accepted: 06/11/2020] [Indexed: 01/12/2023]
Abstract
RATIONALE Since identifying gender-specific genetic associations may have a significant impact on public health, we studied the interaction between rs2569190 in CD14 (cluster of differentiation 14) and gender in relation to the lipid traits in two independent populations. METHODS We first tested the interaction in a discovery population (SFS, n = 956), then replicated it in an independent population (LGP, n = 460), followed by a meta-analysis (n = 1,416). Finally, stratification according to gender was conducted to test the association between rs2569190 and lipid traits. Binary multiple logistic regression models were used while correcting for many confounders. Power calculations were also performed. RESULTS An interaction between rs2569190 and gender, which increased the risk of total cholesterol levels in SFS, was found (OR = 2.151 and P = 0.05). This interaction was further replicated in the LGP (OR = 1.353 and P < 0.001), and the meta-analysis showed an overall significant interaction (OR = 1.436 and Pmeta = 0.02). Similarly, the meta-analysis showed an overall significant positive effect (OR = 1.204 and Pmeta = 0.004) for low-density lipoprotein cholesterol levels. Overall, 1,416 patients were evaluated, and the statistical heterogeneity was low, with I2 estimates ranging between 0% and 22.2%. In contrast, rs2569190 in CD14 did not show any significant interaction with gender influencing high-density lipoprotein levels and triglycerides levels in both populations. CONCLUSION An interaction between rs2569190 in CD14 and gender increased the risk of hypercholesterolemia in two independent populations with a gender-specific effect in males.
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Affiliation(s)
- Said El Shamieh
- Department of Medical Laboratory Technology, Faculty of Health Sciences, Beirut Arab University, Beirut 115020, Lebanon.
| | - Ali Salami
- Rammal Hassan Rammal Research Laboratory, Physio-toxicity (PhyTox) Research Group, Lebanese University, Faculty of Sciences (V), Nabatieh 6573/14, Lebanon; Université de Lorraine, IGE-PCV, F-54000 Nancy, France
| | - Maria G Stathopoulou
- Department of Medical Laboratory Sciences, Faculty of Health Sciences, University of Balamand, Beirut 1100-2807, Lebanon
| | - Pia Chedid
- Department of Medical Laboratory Sciences, Faculty of Health Sciences, University of Balamand, Beirut 1100-2807, Lebanon; Université de Lorraine, IGE-PCV, F-54000 Nancy, France
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Zago VHS, Parra ES, Virgínio VWM, Vendrame F, Gomes ÉIL, Scherrer DZ, Marson FAL, de Faria EC. Lipase C, Hepatic Type -250A/G (rs2070895) Variant Enhances Carotid Atherosclerosis in Normolipidemic and Asymptomatic Individuals from Brazil. Lipids 2020; 55:225-237. [PMID: 32196671 DOI: 10.1002/lipd.12232] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2019] [Revised: 02/20/2020] [Accepted: 02/27/2020] [Indexed: 11/08/2022]
Abstract
The common genetic variant in the promoter region of the hepatic lipase gene [LIPC -250G/A(rs2070895)] has an ambiguous association with cardiovascular disease. In this context, our study was performed to identify the relationships between the rs2070895 with carotid atherosclerosis, plasma lipids, and parameters of reverse cholesterol transport. A total of 285 normolipidemic and asymptomatic participants from an initial sample of 598,288 individuals (inclusion criteria: LDL-C ≤130 mg/dL and triglycerides ≤150 mg/dL; age: 20-75 years, both genders; confirmation of clinical, anthropometric and laboratory data; attended all visits; DNA was achieved to perform genetic analysis) were enrolled and the rs2070895 variant was genotyped by TaqMan® OpenArray® Plataform. Carotid intima-media thickness and the screening of atherosclerotic plaques were determined by B-mode ultrasonography. The rs2070895 genotype frequencies were 0.44, 0.41, and 0.15 (GG, GA, and AA, respectively). Logistic regression analysis showed that the risk of having plaques was increased in participants carrying the AA or AG genotypes (OR = 3.90; 95% CI = 1.54-10.33), despite an increase in high-density lipoprotein cholesterol levels, HDL diameter and apolipoprotein A-I, as compared to the GG genotype. Hepatic lipase and endogenous lecithin cholesterol acyl transferase activities were reduced (38% and 19%, respectively) and lipoprotein lipase was increased by 30% (AA vs GG). Our results provide evidence that the AA or AG genotypes of the rs2070895 were associated with carotid atherosclerosis in apparently healthy participants, probably as a consequence of reduced reverse cholesterol transport and accumulation of HDL subfraction 2 rich in triglycerides and depleted in cholesteryl esters that could become dysfunctional.
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Affiliation(s)
- Vanessa H S Zago
- Department of Clinical Pathology, Faculty of Medical Sciences, State University of Campinas, Tessália Vieira de Camargo St, 126, Campinas, São Paulo, 13084-971, Brazil
| | - Eliane S Parra
- Department of Clinical Pathology, Faculty of Medical Sciences, State University of Campinas, Tessália Vieira de Camargo St, 126, Campinas, São Paulo, 13084-971, Brazil
| | - Vítor W M Virgínio
- Department of Clinical Pathology, Faculty of Medical Sciences, State University of Campinas, Tessália Vieira de Camargo St, 126, Campinas, São Paulo, 13084-971, Brazil
| | - Felipe Vendrame
- Department of Clinical Pathology, Faculty of Medical Sciences, State University of Campinas, Tessália Vieira de Camargo St, 126, Campinas, São Paulo, 13084-971, Brazil
| | - Érica I L Gomes
- Department of Clinical Pathology, Faculty of Medical Sciences, State University of Campinas, Tessália Vieira de Camargo St, 126, Campinas, São Paulo, 13084-971, Brazil
| | - Daniel Z Scherrer
- Department of Clinical Pathology, Faculty of Medical Sciences, State University of Campinas, Tessália Vieira de Camargo St, 126, Campinas, São Paulo, 13084-971, Brazil
| | - Fernando A L Marson
- Department of Pediatric, Faculty of Medical Sciences, State University of Campinas, Tessália Vieira de Camargo St, 126, Campinas, São Paulo, 13084-971, Brazil.,Department of Medical Genetics and Genomic Medicine, Faculty of Medical Sciences, State University of Campinas, Tessália Vieira de Camargo St, 126, Campinas, São Paulo, 13084-971, Brazil.,Laboratory of Human and Medical Genetics, Post Graduate Program in Health Science, São Francisco University, São Francisco de Assis Av, 218, Jardim São José, Bragança Paulista, São Paulo, 12916-900, Brazil
| | - Eliana C de Faria
- Department of Clinical Pathology, Faculty of Medical Sciences, State University of Campinas, Tessália Vieira de Camargo St, 126, Campinas, São Paulo, 13084-971, Brazil
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Penson P, Long DL, Howard G, Howard VJ, Jones SR, Martin SS, Mikhailidis DP, Muntner P, Rizzo M, Rader DJ, Safford MM, Sahebkar A, Toth PP, Banach M. Associations between cardiovascular disease, cancer, and very low high-density lipoprotein cholesterol in the REasons for Geographical and Racial Differences in Stroke (REGARDS) study. Cardiovasc Res 2020; 115:204-212. [PMID: 30576432 PMCID: PMC6302258 DOI: 10.1093/cvr/cvy198] [Citation(s) in RCA: 34] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/05/2018] [Accepted: 08/01/2018] [Indexed: 01/01/2023] Open
Abstract
Aims Relatively little is known about the health outcomes associated with very low plasma concentrations of high-density lipoprotein cholesterol (HDL-C) mainly because of the small numbers of individuals with such extreme values included in clinical trials. We, therefore, investigated the association between low and very low HDL-C concentration at baseline and incident all-cause-mortality, death from malignant disease (i.e. cancer), and with fatal or non-fatal incident coronary heart disease (CHD) in individuals from the Reasons for Geographical And Racial Differences in Stroke (REGARDS) study. Methods and results Analysis was based on 21 751 participants from the REGARDS study who were free of CHD, other cardiovascular disease, and cancer at baseline and were categorized by baseline HDL-C into <30 mg/dL (very low), 30-<40 mg/dL (low), and ≥40 mg/dL (reference). A series of incremental Cox proportional hazards models were employed to assess the association between the HDL-C categories and outcomes. Statistical analysis was performed using both complete case methods and multiple imputations with chained equations. After adjustment for age, race, and sex, the hazard ratios (HRs) comparing the lowest and highest HDL-C categories were 1.48 [95% confidence interval (CI) 1.28-1.73] for all-cause mortality, 1.35 (95% CI 1.03-1.77) for cancer-specific mortality and 1.39 (95% CI 0.99-1.96) for incident CHD. These associations became non-significant in models adjusting for demographics, cardiovascular risk factors, and treatment for dyslipidaemia. We found evidence for an HDL paradox, whereby low HDL (30-<40 mg/dL) was associated with reduced risk of incident CHD in black participants in a fully adjusted complete case model (HR 0.63; 95% CI 0.46-0.88) and after multiple imputation analyses (HR 0.76; 95% CI 0.58-0.98). HDL-C (<30 mg/dL) was significantly associated with poorer outcomes in women for all outcomes, especially with respect to cancer mortality (HR 2.31; 95% CI 1.28-4.16) in a fully adjusted complete case model, replicated using multiple imputation (HR 1.81; 95% CI 1.03-3.20). Conclusion Low HDL-C was associated with reduced risk of incident CHD in black participants suggesting a potential HDL paradox for incident CHD. Very low HDL-C in women was significantly associated with cancer mortality in a fully adjusted complete case model.
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Affiliation(s)
- Peter Penson
- School of Pharmacy and Biomolecular Sciences, Liverpool John Moores University, Liverpool, UK
| | - D Leann Long
- Department of Biostatistics, UAB School of Public Health, Birmingham, AL, USA
| | - George Howard
- Department of Biostatistics, UAB School of Public Health, Birmingham, AL, USA
| | - Virginia J Howard
- Department of Epidemiology, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Steven R Jones
- The Johns Hopkins Ciccarone Center for the Prevention of Heart Disease, Baltimore, MD, USA
| | - Seth S Martin
- The Johns Hopkins Ciccarone Center for the Prevention of Heart Disease, Baltimore, MD, USA
| | - Dimitri P Mikhailidis
- Department of Clinical Biochemistry, Royal Free Campus, University College London Medical School, University College London (UCL), London, UK
| | - Paul Muntner
- Department of Epidemiology, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Manfredi Rizzo
- Biomedical Department of Internal Medicine and Medical Specialties, University of Palermo, Palermo, Italy.,Euro-Mediterranean Institute of Science and Technology, Palermo, Italy
| | - Daniel J Rader
- Department of Medicine, Perelman School of Medicine of the University of Pennsylvania, Philadelphia, PA, USA
| | - Monika M Safford
- Department of Medicine, Weill Cornell Medicine, New York, NY, USA
| | - Amirhossein Sahebkar
- Biotechnology Research Center, Mashhad University of Medical Sciences, Mashhad, Iran.,Metabolic Research Centre, Royal Perth Hospital, School of Medicine and Pharmacology, University of Western Australia, Perth, Australia
| | - Peter P Toth
- The Johns Hopkins Ciccarone Center for the Prevention of Heart Disease, Baltimore, MD, USA.,Preventive Cardiology, CGH Medical Center, Sterling, IL, USA
| | - Maciej Banach
- Department of Hypertension, Chair of Nephrology and Hypertension, Medical University of Lodz, Zeromskiego 113, 90-549 Lodz, Poland.,Polish Mother's Memorial Hospital Research Institute, Lodz, Poland.,Cardiovascular Research Centre, University of Zielona Gora, Zielona Gora, Poland
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Nishida Y, Hachiya T, Hara M, Shimanoe C, Tanaka K, Sutoh Y, Shimizu A, Hishida A, Tsukamoto M, Kadomatsu Y, Oze I, Koyanagi YN, Kuriyama N, Koyama T, Ibusuki R, Takezaki T, Ikezaki H, Furusyo N, Takashima N, Kadota A, Uemura H, Katsuura-Kamano S, Suzuki S, Nakagawa-Senda H, Kuriki K, Mikami H, Nakamura Y, Momozawa Y, Kubo M, Nakatochi M, Naito M, Wakai K. The interaction between ABCA1 polymorphism and physical activity on the HDL-cholesterol levels in a Japanese population. J Lipid Res 2020; 61:86-94. [PMID: 31694877 PMCID: PMC6939595 DOI: 10.1194/jlr.p091546] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2018] [Revised: 10/21/2019] [Indexed: 12/15/2022] Open
Abstract
Few studies have investigated the interactions between HDL-C-related SNPs identified by genome-wide association (GWA) study and physical activity (PA) on HDL-C. First, we conducted a sex-stratified GWA study in a discovery sample (2,231 men and 2,431 women) and replication sample (2,599 men and 3,109 women) to identify SNPs influencing log-transformed HDL-C in Japanese participants in the baseline survey of the Japan Multi-Institutional Collaborative Cohort Study. We also replicated previously reported HDL-C-related SNPs in a combined (discovery plus replication) sample (4,830 men and 5,540 women). We then analyzed the interactions of the HDL-C-related SNPs with PA on HDL-C. The sex-stratified GWA analyses identified 11 and 10 HDL-C-related SNPs in men and women as targets for an interaction analysis. Among these, only one interaction of ABCA1 rs1883025 with PA was statistically significant in men, after Bonferroni correction [P-interaction = 0.001 (α = 0.05/21 = 0.002)]. The per-major-allele (C allele) increase in log-transformed HDL-C was lost in men with low PA (β = 0.008) compared with those with medium (β = 0.032) or high PA (β = 0.034). These findings suggest that the benefit of carrying a C allele of ABCA1 rs1883025 on enhancing HDL-C may be attenuated in inactive men.
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Affiliation(s)
- Yuichiro Nishida
- Department of Preventive Medicine, Faculty of Medicine, Saga University, Saga, Japan.
| | - Tsuyoshi Hachiya
- Division of Biomedical Information Analysis, Iwate Tohoku Medical Megabank Organization, Disaster Reconstruction Center, Iwate Medical University, Iwate, Japan
| | - Megumi Hara
- Department of Preventive Medicine, Faculty of Medicine, Saga University, Saga, Japan
| | | | - Keitaro Tanaka
- Department of Preventive Medicine, Faculty of Medicine, Saga University, Saga, Japan
| | - Yoichi Sutoh
- Division of Biomedical Information Analysis, Iwate Tohoku Medical Megabank Organization, Disaster Reconstruction Center, Iwate Medical University, Iwate, Japan
| | - Atsushi Shimizu
- Division of Biomedical Information Analysis, Iwate Tohoku Medical Megabank Organization, Disaster Reconstruction Center, Iwate Medical University, Iwate, Japan
| | - Asahi Hishida
- Departments of Preventive Medicine, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Mineko Tsukamoto
- Departments of Preventive Medicine, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Yuka Kadomatsu
- Departments of Preventive Medicine, Nagoya University Graduate School of Medicine, Nagoya, Japan; Thoracic Surgery, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Isao Oze
- Divisions of Cancer Epidemiology and Prevention, Aichi Cancer Center Research Institute, Nagoya, Japan
| | - Yuriko N Koyanagi
- Cancer Information and Control, Aichi Cancer Center Research Institute, Nagoya, Japan
| | - Nagato Kuriyama
- Department of Epidemiology for Community Health and Medicine, Kyoto Prefectural University of Medicine, Kyoto, Japan
| | - Teruhide Koyama
- Department of Epidemiology for Community Health and Medicine, Kyoto Prefectural University of Medicine, Kyoto, Japan
| | - Rie Ibusuki
- Department of International Island and Community Medicine, Kagoshima University Graduate School of Medical and Dental Sciences, Kagoshima, Japan
| | - Toshiro Takezaki
- Department of International Island and Community Medicine, Kagoshima University Graduate School of Medical and Dental Sciences, Kagoshima, Japan
| | - Hiroaki Ikezaki
- Department of Environmental Medicine and Infectious Disease, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Norihiro Furusyo
- Department of Environmental Medicine and Infectious Disease, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Naoyuki Takashima
- Department of Health Science, Shiga University of Medical Science, Otsu, Japan; Department of Preventive Medicine, Institute of Biomedical Sciences, Tokushima University Graduate School, Tokushima, Japan
| | - Aya Kadota
- Department of Health Science, Shiga University of Medical Science, Otsu, Japan
| | - Hirokazu Uemura
- Thoracic Surgery, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | | | - Sadao Suzuki
- Department of Public Health, Nagoya City University Graduate School of Medical Sciences, Nagoya, Japan
| | - Hiroko Nakagawa-Senda
- Department of Public Health, Nagoya City University Graduate School of Medical Sciences, Nagoya, Japan
| | - Kiyonori Kuriki
- Laboratory of Public Health, School of Food and Nutritional Sciences, University of Shizuoka, Shizuoka, Japan
| | - Haruo Mikami
- Cancer Prevention Center, Chiba Cancer Center Research Institute, Chiba, Japan
| | - Yohko Nakamura
- Cancer Prevention Center, Chiba Cancer Center Research Institute, Chiba, Japan
| | - Yukihide Momozawa
- Laboratory for Genotyping Development, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
| | - Michiaki Kubo
- Laboratory for Genotyping Development, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
| | - Masahiro Nakatochi
- Division of Data Science, Data Coordinating Center, Department of Advanced Medicine, Nagoya University Hospital, Nagoya, Japan
| | - Mariko Naito
- Departments of Preventive Medicine, Nagoya University Graduate School of Medicine, Nagoya, Japan; Department of Oral Epidemiology, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan
| | - Kenji Wakai
- Departments of Preventive Medicine, Nagoya University Graduate School of Medicine, Nagoya, Japan
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Fujii R, Yamada H, Munetsuna E, Yamazaki M, Ando Y, Mizuno G, Tsuboi Y, Ohashi K, Ishikawa H, Hagiwara C, Maeda K, Hashimoto S, Suzuki K. Associations between dietary vitamin intake, ABCA1 gene promoter DNA methylation, and lipid profiles in a Japanese population. Am J Clin Nutr 2019; 110:1213-1219. [PMID: 31504085 DOI: 10.1093/ajcn/nqz181] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2019] [Accepted: 07/10/2019] [Indexed: 12/13/2022] Open
Abstract
BACKGROUND Higher intake of fruits and vegetables is associated with reduced risk of specific types of cancer and of cardiovascular disease (CVD), but the protective role of the vitamins contained in fruits and vegetables on CVD is controversial. This discrepancy can raise the question of the effects of antioxidants in vitamins on CVD. Recently, we reported that higher vegetable intake was significantly associated with the decreased DNA methylation level of ATP-binding cassette transporter A1 (ABCA1), a gene associated with HDL-cholesterol metabolism. OBJECTIVE We investigated whether ABCA1 DNA methylation mediates an effect of dietary vitamin intake on lipid profiles, an important risk factor for CVD, in a Japanese population. METHODS A total of 225 individuals (108 men and 117 women) with no clinical history and no drug use for dyslipidemia participated in this cross-sectional study. We used the pyrosequencing method to measure the ABCA1 DNA methylation levels at 8 CpG sites, and we used mean DNA methylation level in statistical analysis. Dietary vitamin intake was assessed with the FFQ and adjusted for the residual method. RESULTS In women, higher dietary vitamin intake [vitamin A, β-carotene, folic acid, vitamin C (VC), vitamin D, and vitamin E] was significantly associated with lower mean ABCA1 DNA methylation levels (P = 0.004, 0.03, 0.005, 0.001, 0.03, and 0.04, respectively). In addition, in women, we found a significant inverse association between mean ABCA1 DNA methylation and HDL cholesterol (P = 0.04) but not for other lipid indexes. Mediation analysis showed a significant indirect effect of VC intake on HDL cholesterol through ABCA1 DNA methylation level in women (P = 0.04). CONCLUSIONS Although this study does not prove causality, the results suggest that ABCA1 DNA methylation mediates the protective effect of VC on HDL cholesterol in women, which could offer a novel biological mechanism in CVD prevention.
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Affiliation(s)
- Ryosuke Fujii
- Department of Preventive Medical Sciences, School of Medical Sciences, Fujita Health University, Toyoake, Japan
| | - Hiroya Yamada
- Department of Hygiene, School of Medicine, Fujita Health University, Toyoake, Japan
| | - Eiji Munetsuna
- Department of Biochemistry, School of Medicine, Fujita Health University, Toyoake, Japan
| | - Mirai Yamazaki
- Department of Clinical Biochemistry, School of Medical Sciences, Fujita Health University, Toyoake, Japan.,Department of Medical Technology, Kagawa Prefectural University of Health Sciences, Takamatsu, Japan
| | - Yoshitaka Ando
- Department of Clinical Biochemistry, School of Medical Sciences, Fujita Health University, Toyoake, Japan
| | - Genki Mizuno
- Department of Clinical Biochemistry, School of Medical Sciences, Fujita Health University, Toyoake, Japan
| | - Yoshiki Tsuboi
- Department of Preventive Medical Sciences, School of Medical Sciences, Fujita Health University, Toyoake, Japan
| | - Koji Ohashi
- Department of Clinical Biochemistry, School of Medical Sciences, Fujita Health University, Toyoake, Japan
| | - Hiroaki Ishikawa
- Department of Clinical Biochemistry, School of Medical Sciences, Fujita Health University, Toyoake, Japan
| | - Chiharu Hagiwara
- Department of Preventive Medical Sciences, School of Medical Sciences, Fujita Health University, Toyoake, Japan
| | - Keisuke Maeda
- Department of Preventive Medical Sciences, School of Medical Sciences, Fujita Health University, Toyoake, Japan
| | - Shuji Hashimoto
- Department of Hygiene, School of Medicine, Fujita Health University, Toyoake, Japan
| | - Koji Suzuki
- Department of Preventive Medical Sciences, School of Medical Sciences, Fujita Health University, Toyoake, Japan
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Zhang X, Zhang X, Li X, Feng J, Chen X. Association of metabolic syndrome with atherogenic index of plasma in an urban Chinese population: A 15-year prospective study. Nutr Metab Cardiovasc Dis 2019; 29:1214-1219. [PMID: 31378627 DOI: 10.1016/j.numecd.2019.07.006] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/04/2019] [Revised: 05/06/2019] [Accepted: 07/08/2019] [Indexed: 02/05/2023]
Abstract
BACKGROUND AND AIMS The metabolic syndrome(Mets) is a multiplex risk factor for atheroselerotie cardiovascular disease. The aims of the study were to assess the association of the Mets with atherogenic index of plasma(AIP) and other atherogenic parameters in an urban Chinese population. METHODS AND RESULTS The data were collected in 1992 and then again in 2007 from the same group of 582 individuals(359 men and 223 women) without Mets in 1992. During 15 years' follow-up, AIP was the lipid parameter that was most strongly associated with Mets, with an unadjusted odds ratio of 5.66 (95% CI:1.76-18.23, P = 0.004) in the univariate logistic regression analysis. Multivariate logistic regression analyses also revealed that AIP was an independent risk factor for Mets. AIP significantly predicted Mets in men, with an unadjusted odds ratio of 30.73 (95% CI: 5.62, 168.12 P = 0.012) in a univariate model. Associations remained significant after adjustment for smoking, drinking, physical exercise and components of Mets. The incidences of Mets adjusted for age according to the quartiles of AIP showed a statistical linear trend in men(P for trend = 0.007) rather than in women(P for trend = 0.529). CONCLUSIONS AIP might be a strong and independent predictor for Mets in an urban Chinese population. The incidence of Mets increased with AIP elevated in men while not in women.
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Affiliation(s)
- Xin Zhang
- Department of Cardiology, West China Hospital, Sichuan University, Chengdu, 610041, China
| | - Xin Zhang
- Department of Cardiology, West China Hospital, Sichuan University, Chengdu, 610041, China
| | - Xinran Li
- Department of Cardiology, West China Hospital, Sichuan University, Chengdu, 610041, China
| | - Jiayue Feng
- Department of Cardiology, West China Hospital, Sichuan University, Chengdu, 610041, China
| | - Xiaoping Chen
- Department of Cardiology, West China Hospital, Sichuan University, Chengdu, 610041, China.
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44
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Dietary vegetable intake is inversely associated with ATP-binding cassette protein A1 (ABCA1) DNA methylation levels among Japanese women. Nutrition 2019; 65:1-5. [DOI: 10.1016/j.nut.2019.02.010] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2018] [Revised: 01/21/2019] [Accepted: 02/14/2019] [Indexed: 11/20/2022]
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45
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Sanghera DK, Hopkins R, Malone-Perez MW, Bejar C, Tan C, Mussa H, Whitby P, Fowler B, Rao CV, Fung KA, Lightfoot S, Frazer JK. Targeted sequencing of candidate genes of dyslipidemia in Punjabi Sikhs: Population-specific rare variants in GCKR promote ectopic fat deposition. PLoS One 2019; 14:e0211661. [PMID: 31369557 PMCID: PMC6675050 DOI: 10.1371/journal.pone.0211661] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2019] [Accepted: 05/28/2019] [Indexed: 12/18/2022] Open
Abstract
Dyslipidemia is a well-established risk factor for cardiovascular diseases. Although, advances in genome-wide technologies have enabled the discovery of hundreds of genes associated with blood lipid phenotypes, most of the heritability remains unexplained. Here we performed targeted resequencing of 13 bona fide candidate genes of dyslipidemia to identify the underlying biological functions. We sequenced 940 Sikh subjects with extreme serum levels of hypertriglyceridemia (HTG) and 2,355 subjects were used for replication studies; all 3,295 participants were part of the Asian Indians Diabetic Heart Study. Gene-centric analysis revealed burden of variants for increasing HTG risk in GCKR (p = 2.1x10-5), LPL (p = 1.6x10-3) and MLXIPL (p = 1.6x10-2) genes. Of these, three missense and damaging variants within GCKR were further examined for functional consequences in vivo using a transgenic zebrafish model. All three mutations were South Asian population-specific and were largely absent in other multiethnic populations of Exome Aggregation Consortium. We built different transgenic models of human GCKR with and without mutations and analyzed the effects of dietary changes in vivo. Despite the short-term of feeding, profound phenotypic changes were apparent in hepatocyte histology and fat deposition associated with increased expression of GCKR in response to a high fat diet (HFD). Liver histology of the GCKRmut showed severe fatty metamorphosis which correlated with ~7 fold increase in the mRNA expression in the GCKRmut fish even in the absence of a high fat diet. These findings suggest that functionally disruptive GCKR variants not only increase the risk of HTG but may enhance ectopic lipid/fat storage defects in absence of obesity and HFD. To our knowledge, this is the first transgenic zebrafish model of a putative human disease gene built to accurately assess the influence of genetic changes and their phenotypic consequences in vivo.
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Affiliation(s)
- Dharambir K. Sanghera
- Department of Pediatrics, Section of Genetics, College of Medicine, University of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma, United States of America
- Department of Pharmaceutical Sciences, University of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma, United States of America
- Oklahoma Center for Neuroscience, University of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma, United States of America
- Harold Hamm Diabetes Center, University of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma, United States of America
| | - Ruth Hopkins
- Department of Pediatrics, Section of Genetics, College of Medicine, University of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma, United States of America
| | - Megan W. Malone-Perez
- Department of Pediatrics, Section of Pediatric Hematology-Oncology, College of Medicine, University of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma, United States of America
| | - Cynthia Bejar
- Department of Pediatrics, Section of Genetics, College of Medicine, University of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma, United States of America
| | - Chengcheng Tan
- Department of Pediatrics, Section of Genetics, College of Medicine, University of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma, United States of America
| | - Huda Mussa
- Department of Pediatrics, Section of Infectious Diseases, College of Medicine, University of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma, United States of America
| | - Paul Whitby
- Department of Pediatrics, Section of Infectious Diseases, College of Medicine, University of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma, United States of America
| | - Ben Fowler
- Oklahoma Medical Research Foundation, Imaging Core Facility, Oklahoma City, Oklahoma, United States of America
| | - Chinthapally V. Rao
- Center for Cancer Prevention and Drug Development, Stephenson Cancer Center, University of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma, United States of America
| | - KarMing A. Fung
- Department of Pathology, University of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma, Oklahoma, United States of America
| | - Stan Lightfoot
- Department of Surgery, University of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma, Oklahoma, United States of America
| | - J. Kimble Frazer
- Department of Pediatrics, Section of Pediatric Hematology-Oncology, College of Medicine, University of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma, United States of America
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CETP, LIPC, and SCARB1 variants in individuals with extremely high high-density lipoprotein-cholesterol levels. Sci Rep 2019; 9:10915. [PMID: 31358896 PMCID: PMC6662756 DOI: 10.1038/s41598-019-47456-2] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2019] [Accepted: 07/17/2019] [Indexed: 11/12/2022] Open
Abstract
The concentration of high-density lipoprotein-cholesterol (HDL-C) in humans is partially determined by genetic factors; however, the role of these factors is incompletely understood. The aim of this study was to examine the prevalence and characteristics of CETP, LIPC, and SCARB1 variants in Korean individuals with extremely high HDL-C levels. We also analysed associations between these variants and cholesterol efflux capacity (CEC), reactive oxygen species (ROS) generation, and vascular cell adhesion molecule-1 (VCAM-1) expression. Of 13,545 participants in the cardiovascular genome cohort, 42 subjects with HDL-C levels >100 mg/dL were analysed. The three target genes were sequenced by targeted next-generation sequencing, the functional effects of detected variants were predicted, and CEC was assessed using a radioisotope and apolipoprotein B-depleted sera. We observed two rare variants of CETP in 13 individuals (rare variant c.A1196G [p.D399G] of CETP was discovered in 12 subjects) and one rare variant of SCARB1 in one individual. Furthermore, all subjects had at least one of four common variants (one CETP and three LIPC variants). Two additional novel CETP variants of unknown frequency were found in two subjects. However, the identified variants did not show significant associations with CEC, ROS generation, or VCAM-1 expression. Our study provides additional insights into the role of genetics in individuals with extremely high HDL-C.
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47
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Association of extremely high levels of high-density lipoprotein cholesterol with endothelial dysfunction in men. J Clin Lipidol 2019; 13:664-672.e1. [DOI: 10.1016/j.jacl.2019.06.004] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2019] [Revised: 05/23/2019] [Accepted: 06/06/2019] [Indexed: 11/21/2022]
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Chroni A, Kardassis D. HDL Dysfunction Caused by Mutations in apoA-I and Other Genes that are Critical for HDL Biogenesis and Remodeling. Curr Med Chem 2019. [DOI: 10.2174/0929867325666180313114950] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022]
Abstract
The “HDL hypothesis” which suggested that an elevation in HDL cholesterol
(HDL-C) levels by drugs or by life style changes should be paralleled by a decrease in the
risk for Cardiovascular Disease (CVD) has been challenged by recent epidemiological and
clinical studies using HDL-raising drugs. HDL components such as proteins, lipids or small
RNA molecules, but not cholesterol itself, possess various atheroprotective functions in different
cell types and accumulating evidence supports the new hypothesis that HDL functionality
is more important than HDL-C levels for CVD risk prediction. Thus, the detailed characterization
of changes in HDL composition and functions in various pathogenic conditions
is critically important in order to identify new biomarkers for diagnosis, prognosis and therapy
monitoring of CVD. Here we provide an overview of how HDL composition, size and
functionality are affected in patients with monogenic disorders of HDL metabolism due to
mutations in genes that participate in the biogenesis and the remodeling of HDL. We also review
the findings from various mouse models with genetic disturbances in the HDL biogenesis
pathway that have been generated for the validation of the data obtained in human patients
and how these models could be utilized for the evaluation of novel therapeutic strategies such
as the use of adenovirus-mediated gene transfer technology that aim to correct HDL abnormalities.
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Affiliation(s)
- Angeliki Chroni
- Institute of Biosciences and Applications, National Center for Scientific Research , Greece
| | - Dimitris Kardassis
- Department of Basic Medical Sciences, University of Crete Medical School and Institute of Molecular Biology and Biotechnology, Foundation for Research and Technology of Hellas, Heraklion 71003, Greece
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Dahlqwist E, Magnusson PKE, Pawitan Y, Sjölander A. On the relationship between the heritability and the attributable fraction. Hum Genet 2019; 138:425-435. [PMID: 30941497 PMCID: PMC6483966 DOI: 10.1007/s00439-019-02006-8] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2019] [Accepted: 03/22/2019] [Indexed: 11/20/2022]
Abstract
Heritability is the most commonly used measure of genetic contribution to disease outcomes. Being the fraction of the variance of latent trait liability attributable to genetic factors, heritability of binary traits is a difficult technical concept that is sometimes misinterpreted as the more-easily understandable concept of attributable fraction. In this paper we use the liability threshold model to describe the analytical relationship between heritability and attributable fraction. Towards this end, we consider a hypothetical intervention that is aimed to reduce the genetic risk of the disease for a specified target group of the population. We show how the relation between the heritability and the attributable fraction depends on the disease prevalence, the intervention effect and the size of the target group. We use two real examples to illustrate the practical implications of our theoretical results.
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Affiliation(s)
| | | | - Yudi Pawitan
- Karolinska Institute, Nobels väg 12A, 171 77, Stockholm, Sweden
| | - Arvid Sjölander
- Karolinska Institute, Nobels väg 12A, 171 77, Stockholm, Sweden
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Pirim D, Radwan ZH, Wang X, Niemsiri V, Hokanson JE, Hamman RF, Feingold E, Bunker CH, Demirci FY, Kamboh MI. Apolipoprotein E-C1-C4-C2 gene cluster region and inter-individual variation in plasma lipoprotein levels: a comprehensive genetic association study in two ethnic groups. PLoS One 2019; 14:e0214060. [PMID: 30913229 PMCID: PMC6435132 DOI: 10.1371/journal.pone.0214060] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2018] [Accepted: 02/12/2019] [Indexed: 01/15/2023] Open
Abstract
The apolipoprotein E-C1-C4-C2 gene cluster at 19q13.32 encodes four amphipathic apolipoproteins. The influence of APOE common polymorphisms on plasma lipid/lipoprotein profile, especially on LDL-related traits, is well recognized; however, little is known about the role of other genes/variants in this gene cluster. In this study, we evaluated the role of common and uncommon/rare genetic variation in this gene region on inter-individual variation in plasma lipoprotein levels in non-Hispanic Whites (NHWs) and African blacks (ABs). In the variant discovery step, the APOE, APOC1, APOC4, APOC2 genes were sequenced along with their flanking and hepatic control regions (HCR1 and HCR2) in 190 subjects with extreme HDL-C/TG levels. The next step involved the genotyping of 623 NHWs and 788 ABs for the identified uncommon/rare variants and common tagSNPs along with additional relevant SNPs selected from public resources, followed by association analyses with lipid traits. A total of 230 sequence variants, including 15 indels were identified, of which 65 were novel. A total of 70 QC-passed variants in NHWs and 108 QC-passed variants in ABs were included in the final association analyses. Single-site association analysis of SNPs with MAF>1% revealed 20 variants in NHWs and 24 variants in ABs showing evidence of association with at least one lipid trait, including several variants exhibiting independent associations from the established APOE polymorphism even after multiple-testing correction. Overall, our study has confirmed known associations and also identified novel associations in this genomic region with various lipid traits. Our data also support the contribution of both common and uncommon/rare variation in this gene region in affecting plasma lipid profile in the general population.
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Affiliation(s)
- Dilek Pirim
- Department of Human Genetics, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania, United States of America
- Department of Molecular Biology and Genetics, Faculty of Arts&Science, Uludag University, Gorukle, Bursa, Turkey
| | - Zaheda H. Radwan
- Department of Human Genetics, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania, United States of America
| | - Xingbin Wang
- Department of Human Genetics, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania, United States of America
| | - Vipavee Niemsiri
- Department of Human Genetics, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania, United States of America
| | - John E. Hokanson
- Department of Epidemiology, Colorado School of Public Health, University of Colorado Denver, Aurora, Colorado, United States of America
| | - Richard F. Hamman
- Department of Epidemiology, Colorado School of Public Health, University of Colorado Denver, Aurora, Colorado, United States of America
| | - Eleanor Feingold
- Department of Human Genetics, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania, United States of America
| | - Clareann H. Bunker
- Department of Epidemiology, Graduate School of Public Health, University Pittsburgh, Pittsburgh, Pennsylvania, United States of America
| | - F. Yesim Demirci
- Department of Human Genetics, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania, United States of America
- * E-mail: (MIK); (FYD)
| | - M. Ilyas Kamboh
- Department of Human Genetics, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania, United States of America
- * E-mail: (MIK); (FYD)
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