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Millar SR, Navarro P, Harrington JM, Perry IJ, Phillips CM. The Nutri-Score nutrition label: Associations between the underlying nutritional profile of foods and lipoprotein particle subclass profiles in adults. Atherosclerosis 2024:117559. [PMID: 38692976 DOI: 10.1016/j.atherosclerosis.2024.117559] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/02/2024] [Revised: 04/13/2024] [Accepted: 04/17/2024] [Indexed: 05/03/2024]
Abstract
BACKGROUND AND AIMS Lipoprotein particle concentrations and size are associated with increased risk for atherosclerosis and premature cardiovascular disease. Certain dietary behaviours may be cardioprotective and public health strategies are needed to guide consumers' dietary choices and help prevent diet-related disease. The Food Standards Agency nutrient profiling system (FSAm-NPS) constitutes the basis of the five-colour front-of-pack Nutri-Score labelling system. No study has examined FSAm-NPS index associations with a wide range of lipoprotein particle subclasses. METHODS This was a cross-sectional study of 2006 middle-to older-aged men and women randomly selected from a large primary care centre. Individual participant FSAm-NPS dietary scores were derived from validated food frequency questionnaires. Lipoprotein particle subclass concentrations and size were determined using nuclear magnetic resonance spectroscopy. Multivariate-adjusted linear regression analyses were performed to examine FSAm-NPS relationships with lipoprotein particle subclasses. RESULTS In fully adjusted models which accounted for multiple testing, higher FSAm-NPS scores, indicating poorer dietary quality, were positively associated with intermediate-density lipoprotein (β = 0.096, p = 0.005) and small high-density lipoprotein (HDL) (β = 0.492, p = 0.006) concentrations, a lipoprotein insulin resistance score (β = 0.063, p = 0.02), reflecting greater lipoprotein-related insulin resistance, and inversely associated with HDL size (β = -0.030, p = 0.045). CONCLUSIONS A higher FSAm-NPS score is associated with a less favourable lipoprotein particle subclass profile in middle-to older-aged adults which may be a potential mechanism underlying reported health benefits of a healthy diet according to Nutri-Score rating.
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Affiliation(s)
- Seán R Millar
- Centre for Health and Diet Research, School of Public Health, University College Cork, Cork, Ireland.
| | - Pilar Navarro
- School of Public Health, Physiotherapy and Sports Science, University College Dublin, Dublin, 4, Ireland
| | - Janas M Harrington
- Centre for Health and Diet Research, School of Public Health, University College Cork, Cork, Ireland
| | - Ivan J Perry
- Centre for Health and Diet Research, School of Public Health, University College Cork, Cork, Ireland
| | - Catherine M Phillips
- School of Public Health, Physiotherapy and Sports Science, University College Dublin, Dublin, 4, Ireland
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Gijbels A, Erdős B, Trouwborst I, Jardon KM, Adriaens ME, Goossens GH, Blaak EE, Feskens EJM, Afman LA. Hepatic insulin resistance and muscle insulin resistance are characterized by distinct postprandial plasma metabolite profiles: a cross-sectional study. Cardiovasc Diabetol 2024; 23:97. [PMID: 38493102 PMCID: PMC10944619 DOI: 10.1186/s12933-024-02188-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/19/2023] [Accepted: 03/02/2024] [Indexed: 03/18/2024] Open
Abstract
BACKGROUND Tissue-specific insulin resistance (IR) predominantly in muscle (muscle IR) or liver (liver IR) has previously been linked to distinct fasting metabolite profiles, but postprandial metabolite profiles have not been investigated in tissue-specific IR yet. Given the importance of postprandial metabolic impairments in the pathophysiology of cardiometabolic diseases, we compared postprandial plasma metabolite profiles in response to a high-fat mixed meal between individuals with predominant muscle IR or liver IR. METHODS This cross-sectional study included data from 214 women and men with BMI 25-40 kg/m2, aged 40-75 years, and with predominant muscle IR or liver IR. Tissue-specific IR was assessed using the muscle insulin sensitivity index (MISI) and hepatic insulin resistance index (HIRI), which were calculated from the glucose and insulin responses during a 7-point oral glucose tolerance test. Plasma samples were collected before (T = 0) and after (T = 30, 60, 120, 240 min) consumption of a high-fat mixed meal and 247 metabolite measures, including lipoproteins, cholesterol, triacylglycerol (TAG), ketone bodies, and amino acids, were quantified using nuclear magnetic resonance spectroscopy. Differences in postprandial plasma metabolite iAUCs between muscle and liver IR were tested using ANCOVA with adjustment for age, sex, center, BMI, and waist-to-hip ratio. P-values were adjusted for a false discovery rate (FDR) of 0.05 using the Benjamini-Hochberg method. RESULTS Sixty-eight postprandial metabolite iAUCs were significantly different between liver and muscle IR. Liver IR was characterized by greater plasma iAUCs of large VLDL (p = 0.004), very large VLDL (p = 0.002), and medium-sized LDL particles (p = 0.026), and by greater iAUCs of TAG in small VLDL (p = 0.025), large VLDL (p = 0.003), very large VLDL (p = 0.002), all LDL subclasses (all p < 0.05), and small HDL particles (p = 0.011), compared to muscle IR. In liver IR, the postprandial plasma fatty acid (FA) profile consisted of a higher percentage of saturated FA (p = 0.013), and a lower percentage of polyunsaturated FA (p = 0.008), compared to muscle IR. CONCLUSION People with muscle IR or liver IR have distinct postprandial plasma metabolite profiles, with more unfavorable postprandial metabolite responses in those with liver IR compared to muscle IR.
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Grants
- AF-16505 The project was organized by and executed under the auspices of TiFN, a public-private partnership on precompetitive research in food and nutrition. Funding for this research was obtained from the industry partners DSM Nutritional Products, FrieslandCampina, Danone Nutricia Research, AMRA Medical AB, and the Top-sector Agri&Food.
- The project was organized by and executed under the auspices of TiFN, a public-private partnership on precompetitive research in food and nutrition. Funding for this research was obtained from the industry partners DSM Nutritional Products, FrieslandCampina, Danone Nutricia Research, AMRA Medical AB, and the Top-sector Agri&Food.
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Affiliation(s)
- Anouk Gijbels
- Division of Human Nutrition and Health, Wageningen University, Stippeneng 4, 6708 WE, Wageningen, The Netherlands.
- TI Food and Nutrition (TiFN), Nieuwe Kanaal 9A, 6709 PA, Wageningen, The Netherlands.
| | - Balázs Erdős
- TI Food and Nutrition (TiFN), Nieuwe Kanaal 9A, 6709 PA, Wageningen, The Netherlands
- Maastricht Centre for Systems Biology (MaCSBio), Maastricht University, Paul-Henri Spaaklaan 1, 6229 EN, Maastricht, The Netherlands
| | - Inez Trouwborst
- TI Food and Nutrition (TiFN), Nieuwe Kanaal 9A, 6709 PA, Wageningen, The Netherlands
- Department of Human Biology, NUTRIM School of Nutrition and Translational Research in Metabolism, Maastricht University Medical Center+, Universiteitssingel 50, 6229 ER, Maastricht, The Netherlands
| | - Kelly M Jardon
- TI Food and Nutrition (TiFN), Nieuwe Kanaal 9A, 6709 PA, Wageningen, The Netherlands
- Department of Human Biology, NUTRIM School of Nutrition and Translational Research in Metabolism, Maastricht University Medical Center+, Universiteitssingel 50, 6229 ER, Maastricht, The Netherlands
| | - Michiel E Adriaens
- Maastricht Centre for Systems Biology (MaCSBio), Maastricht University, Paul-Henri Spaaklaan 1, 6229 EN, Maastricht, The Netherlands
| | - Gijs H Goossens
- Department of Human Biology, NUTRIM School of Nutrition and Translational Research in Metabolism, Maastricht University Medical Center+, Universiteitssingel 50, 6229 ER, Maastricht, The Netherlands
| | - Ellen E Blaak
- TI Food and Nutrition (TiFN), Nieuwe Kanaal 9A, 6709 PA, Wageningen, The Netherlands
- Department of Human Biology, NUTRIM School of Nutrition and Translational Research in Metabolism, Maastricht University Medical Center+, Universiteitssingel 50, 6229 ER, Maastricht, The Netherlands
| | - Edith J M Feskens
- Division of Human Nutrition and Health, Wageningen University, Stippeneng 4, 6708 WE, Wageningen, The Netherlands
| | - Lydia A Afman
- Division of Human Nutrition and Health, Wageningen University, Stippeneng 4, 6708 WE, Wageningen, The Netherlands.
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3
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Xu S, Liu J, Zhao D, Yang N, Hao Y, Zhou Y, Zhu D, Cui M. The association between the AIP and undiagnosed diabetes in ACS patients with different body mass indexes and LDL-C levels: findings from the CCC-ACS project. Cardiovasc Diabetol 2024; 23:77. [PMID: 38378551 PMCID: PMC10880375 DOI: 10.1186/s12933-024-02162-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/04/2024] [Accepted: 02/09/2024] [Indexed: 02/22/2024] Open
Abstract
BACKGROUND The atherogenic index of plasma (AIP) has been demonstrated to be significantly associated with the incidence of prediabetes and diabetes. This study aimed to investigate the association between the AIP and undiagnosed diabetes in acute coronary syndrome (ACS) patients. METHODS Among 113,650 ACS patients treated with coronary angiography at 240 hospitals in the Improving Care for Cardiovascular Disease in China-ACS Project from 2014 to 2019, 11,221 patients with available clinical and surgical information were included. We analyzed these patients' clinical characteristics after stratification according to AIP tertiles, body mass index (BMI) and low-density lipoprotein cholesterol (LDL-C) levels. RESULTS The AIP was independently associated with a greater incidence of undiagnosed diabetes. The undiagnosed diabetes was significantly greater in the T3 group than in the T1 group after adjustment for confounders [T3 OR 1.533 (1.199-1.959) p < 0.001]. This relationship was consistent within normal weight patients and patients with an LDL-C level ≥ 1.8 mmol/L. In overweight and obese patients, the AIP was significantly associated with the incidence of undiagnosed diabetes as a continuous variable after adjustment for age, sex, and BMI but not as a categorical variable. The area under the receiver operating characteristic curve (AUC) of the AIP score, triglyceride (TG) concentration, and HDL-C concentration was 0.601 (0.581-0.622; p < 0.001), 0.624 (0.603-0.645; p < 0.001), and 0.493 (0.472-0.514; p = 0.524), respectively. A nonlinear association was found between the AIP and the incidence of undiagnosed diabetes in ACS patients (p for nonlinearity < 0.001), and this trend remained consistent between males and females. The AIP may be a negative biomarker associated with undiagnosed diabetes ranging from 0.176 to 0.738. CONCLUSION The AIP was significantly associated with the incidence of undiagnosed diabetes in ACS patients, especially in those with normal weight or an LDL-C level ≥ 1.8 mmol/L. A nonlinear relationship was found between the AIP and the incidence of undiagnosed diabetes, and this trend was consistent between male and female patients. The AIP may be a negative biomarker associated with undiagnosed diabetes and ranges from 0.176 to 0.738.
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Affiliation(s)
- Shuwan Xu
- Department of Cardiology, Peking University Third Hospital, 49 Huayuan North Road, Haidian District, Beijing, 100191, China
| | - Jun Liu
- Department of Epidemiology and Cardiology, Beijing Anzhen Hospital, Capital Medical University, The Key Laboratory of Remodeling-Related Cardiovascular Diseases, Ministry of Education, Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing Institute of Heart, Lung and Blood Vessel Diseases, No. 2 Anzhen Road, Chaoyang District, Beijing, 100029, China
| | - Dong Zhao
- Department of Epidemiology and Cardiology, Beijing Anzhen Hospital, Capital Medical University, The Key Laboratory of Remodeling-Related Cardiovascular Diseases, Ministry of Education, Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing Institute of Heart, Lung and Blood Vessel Diseases, No. 2 Anzhen Road, Chaoyang District, Beijing, 100029, China
| | - Na Yang
- Department of Epidemiology and Cardiology, Beijing Anzhen Hospital, Capital Medical University, The Key Laboratory of Remodeling-Related Cardiovascular Diseases, Ministry of Education, Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing Institute of Heart, Lung and Blood Vessel Diseases, No. 2 Anzhen Road, Chaoyang District, Beijing, 100029, China
| | - Yongchen Hao
- Department of Epidemiology and Cardiology, Beijing Anzhen Hospital, Capital Medical University, The Key Laboratory of Remodeling-Related Cardiovascular Diseases, Ministry of Education, Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing Institute of Heart, Lung and Blood Vessel Diseases, No. 2 Anzhen Road, Chaoyang District, Beijing, 100029, China
| | - Yan Zhou
- Department of Epidemiology and Cardiology, Beijing Anzhen Hospital, Capital Medical University, The Key Laboratory of Remodeling-Related Cardiovascular Diseases, Ministry of Education, Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing Institute of Heart, Lung and Blood Vessel Diseases, No. 2 Anzhen Road, Chaoyang District, Beijing, 100029, China
| | - Dan Zhu
- Department of Cardiology, Peking University Third Hospital, 49 Huayuan North Road, Haidian District, Beijing, 100191, China.
| | - Ming Cui
- Department of Cardiology, Peking University Third Hospital, 49 Huayuan North Road, Haidian District, Beijing, 100191, China.
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Bagdade JD, McCurdy CE. Conventional HDL Subclass Measurements Mask Thyroid Hormone-dependent Remodeling Activity Sites in Hypothyroid Individuals. J Endocr Soc 2024; 8:bvae018. [PMID: 38379854 PMCID: PMC10877315 DOI: 10.1210/jendso/bvae018] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/03/2023] [Indexed: 02/22/2024] Open
Abstract
Context Earlier nuclear magnetic resonance spectroscopy (NMR) studies of plasma lipoproteins estimated by size as small, medium, and large particles, demonstrated hypothyroidism was associated with increases in very low-density lipoprotein (VLDL), low-density lipoprotein (LDL), and intermediate-density lipoprotein (IDL) subclass particle number but variable changes in the high-density lipoprotein (HDL) subclasses. These disparate changes in HDL might be explained by reduced activity of the thyroid hormone-dependent remodeling proteins whose subclass specificity may be obscured when the 5 HDL subclasses identified by NMR are combined by size. Objective This work aimed to determine whether directional changes in particle number of individually measured HDL subclasses correlate with reduced activity of their thyroid hormone-dependent remodeling proteins in hypothyroid individuals. Methods VLDL, LDL, IDL, and HDL subclasses were measured by NMR in 13 thyroidectomized individuals 1 month following thyroid hormone withdrawal and 3 months after replacement. Changes in particle numbers in each subclass were compared when expressed individually and by size. Results Following thyroid hormone withdrawal, plasma lipids and VLDL, LDL, and IDL subclass particle number increased. HDL particle number nearly doubled in very small HDL-1 (P = .04), declined in small HDL-2 (P = .02), and increased 2-fold in HDL-5 (P = .0009). Conclusion The increment in HDL-1 and decline in HDL-2 subclasses is consistent with their precursor-product relationship and reduced lecithin cholesterol acyltransferase activity while the almost 2-fold increase in large HDL-5 is indicative of diminished action of hepatic lipase, phospholipid transfer protein, and endothelial lipase. These findings are inapparent when the 5 subclasses are expressed conventionally by size. This linking of specific HDL subclasses with HDL remodeling protein function provides new details about the specificity of their interactions.
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Affiliation(s)
- John D Bagdade
- Department of Human Physiology, University of Oregon, Eugene, OR 97403, USA
| | - Carrie E McCurdy
- Department of Human Physiology, University of Oregon, Eugene, OR 97403, USA
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Dodangeh S, Taghizadeh H, Hosseinkhani S, Khashayar P, Pasalar P, Meybodi HRA, Razi F, Larijani B. Metabolomics signature of cardiovascular disease in patients with diabetes, a narrative review. J Diabetes Metab Disord 2023; 22:985-994. [PMID: 37975080 PMCID: PMC10638133 DOI: 10.1007/s40200-023-01256-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/20/2023] [Accepted: 06/19/2023] [Indexed: 11/19/2023]
Abstract
Objectives The exact underlying mechanism of developing diabetes-related cardiovascular disease (CVD) among patients with type 2 diabetes (T2D) is not clear. Metabolomics can provide a platform enabling the prediction, diagnosis, and understanding of the risk of CVD in patients with diabetes mellitus. The aim of this review is to summarize the available evidence on the relationship between metabolomics and cardiovascular diseases in patients with diabetes. Methods The literature was searched to find out studies that have investigated the relationship between the alteration of specific metabolites and cardiovascular diseases in patients with diabetes. Results Evidence proposed that changes in the metabolism of certain amino acids, lipids, and carbohydrates, independent of traditional CVD risk factors, are associated with increased CVD risk. Conclusions Metabolomics can provide a platform to enable the prediction, diagnosis, and understanding of the risk of CVD in patients with diabetes mellitus. The association of the alteration in specific metabolites with CVD may be considered in the investigations for the development of new therapeutic targets for the prevention of CVD in patients with diabetes mellitus.
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Affiliation(s)
- Salimeh Dodangeh
- Endocrinology and Metabolism Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Hananeh Taghizadeh
- Endocrinology and Metabolism Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Shaghayegh Hosseinkhani
- Metabolomics and Genomics Research Center, Endocrinology and Metabolism Molecular-Cellular Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Pouria Khashayar
- Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, UK
| | - Parvin Pasalar
- Metabolic Disorders Research Center, Endocrinology and Metabolism Molecular -Cellular Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Hamid Reza Aghaei Meybodi
- Evidence-based Medicine Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Farideh Razi
- Metabolomics and Genomics Research Center, Endocrinology and Metabolism Molecular-Cellular Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Bagher Larijani
- Endocrinology and Metabolism Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
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Ito R, Manita D, Yanai H, Hirowatari Y. Measurement of cholesterol levels of lipoprotein subclasses in human serum using anion-exchange high-performance liquid chromatography with a linear concentration gradient of sodium perchlorate. Ann Clin Biochem 2023; 60:374-385. [PMID: 37194115 DOI: 10.1177/00045632231179082] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/18/2023]
Abstract
BACKGROUND Relationships between the subclasses of high-density lipoprotein (HDL) or low-density lipoprotein (LDL) and the risk of atherosclerotic cardiovascular disease have been studied, and using various methods, such as ultracentrifugation, electrophoresis, and nuclear magnetic resonance, for analysing lipoprotein subclasses. We established a method for HDL and LDL subclasses using anion-exchange high-performance liquid chromatography (AEX-HPLC) with a linear concentration gradient of sodium perchlorate (NaClO4). METHOD In the AEX-HPLC, the subclasses of HDL and LDL were separated, and detected using a post-column reactor with an enzymatic cholesterol reagent, that contained cholesterol esterase, cholesterol oxidase, and peroxidase as major ingredients. LDL subclasses were divided based on the absolute value of first-derivative chromatogram. RESULT Three HDL subclasses, HDL-P1, HDL-P2, and HDL-P3, and three LDL subclasses, LDL-P1, LDL-P2, and LDL-P3, were separated by AEX-HPLC, and detected in order. The major components of HDL-P2 and HDL-P3 were HDL3 and HDL2, respectively. The linearity was determined for each lipoprotein subclass. The coefficients of variation of cholesterol concentration of the subclasses for within-day assay (n = 10) and between-day assay (n = 10) ranged between 3.08-8.94% and 4.52-9.97%, respectively. Cholesterol levels in HDL-P1 of diabetic patients were positively correlated with oxidized LDL levels (r = 0.409, p = 0.002). Moreover, cholesterol levels in LDL-P2 and LDL-P3 were positively correlated with oxidized LDL levels (r = 0.393, p = 0.004 and r = 0.561, p < 0.001, respectively). CONCLUSION AEX-HPLC may be highly suitable as an assay to clinically assess lipoprotein subclasses.
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Affiliation(s)
- Riku Ito
- Department of Health Sciences, Saitama Prefectural University, Saitama, Japan
| | - Daisuke Manita
- Department of Health Sciences, Saitama Prefectural University, Saitama, Japan
- Bioscience Division, TOSOH Corporation, Kanagawa, Japan
| | - Hidekatsu Yanai
- Department of Diabetes, Endocrinology and Metabolism, National Center for Global Health and Medicine Kohnodai Hospital, Chiba, Japan
| | - Yuji Hirowatari
- Department of Health Sciences, Saitama Prefectural University, Saitama, Japan
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Yang S, Zhu Z, Chen S, Yuan Y, He M, Wang W. Metabolic fingerprinting on retinal pigment epithelium thickness for individualized risk stratification of type 2 diabetes mellitus. Nat Commun 2023; 14:6573. [PMID: 37852995 PMCID: PMC10585002 DOI: 10.1038/s41467-023-42404-1] [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: 12/14/2022] [Accepted: 10/10/2023] [Indexed: 10/20/2023] Open
Abstract
The retina is an important target organ of diabetes mellitus, with increasing evidence from patients and animal models suggesting that retinal pigment epithelium (RPE) may serve as an early marker for diabetes-related damages. However, their longitudinal relationship and the biological underpinnings remain less well understood. Here, we demonstrate that reduced in vivo measurements of RPE thickness (RPET) represents a significant risk factor for future type 2 diabetes mellitus (T2DM) and its microvascular phenotypes. After performing systematic analyses of circulating plasma metabolites using two complementary approaches, we identify a wide range of RPET metabolic fingerprints that are independently associated with reduced RPET. These fingerprints hold their potential to improve predictability and clinical utility for stratifying future T2DM and related microvascular phenotypes beyond traditional clinical indicators, providing insights into the promising role of retinas as a window to systemic health.
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Affiliation(s)
- Shaopeng Yang
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, China
- Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Guangzhou, China
- Guangdong Provincial Clinical Research Center for Ocular Diseases, Guangzhou, China
- Hainan Eye Hospital and Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Haikou, China
| | - Zhuoting Zhu
- Centre for Eye Research Australia, Royal Victorian Eye and Ear Hospital, Melbourne, Australia
| | - Shida Chen
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, China
- Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Guangzhou, China
- Guangdong Provincial Clinical Research Center for Ocular Diseases, Guangzhou, China
- Hainan Eye Hospital and Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Haikou, China
| | - Yixiong Yuan
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, China
- Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Guangzhou, China
- Guangdong Provincial Clinical Research Center for Ocular Diseases, Guangzhou, China
- Hainan Eye Hospital and Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Haikou, China
| | - Mingguang He
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, China.
- Experimental Ophthalmology, The Hong Kong Polytechnic University, Hong Kong, China.
| | - Wei Wang
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, China.
- Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Guangzhou, China.
- Guangdong Provincial Clinical Research Center for Ocular Diseases, Guangzhou, China.
- Hainan Eye Hospital and Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Haikou, China.
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Gadgil MD, Herrington DM, Singh SK, Kandula NR, Kanaya AM. Association of lipoprotein subfractions with incidence of type 2 diabetes among five U.S. Race and Ethnic groups: The Mediators of Atherosclerosis in South Asians Living in America (MASALA) and Multi-Ethnic study of Atherosclerosis (MESA). Diabetes Res Clin Pract 2023; 204:110926. [PMID: 37777016 PMCID: PMC10886444 DOI: 10.1016/j.diabres.2023.110926] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/13/2023] [Revised: 09/19/2023] [Accepted: 09/27/2023] [Indexed: 10/02/2023]
Abstract
AIMS We examined associations between lipoprotein subfractions and prevalent and incident T2D in two race/ethnically diverse cohort studies. METHODS Adults self-identifying as White, Black, Chinese, Hispanic and South Asian-American without cardiovascular disease, with fasting serum, demographic, and clinical data at enrollment and after 5 years of follow-up were included. Lipoprotein subfractions were measured at enrollment using NMR spectrometry. LASSO regularized logistic regression models adjusted for age, sex, race/ethnicity, lipid-lowering agent use, and waist circumference assessed odds of incident T2D in pooled analyses. RESULTS There were 4474 participants with lipoprotein subfraction data at enrollment and 3839 participants without prevalent diabetes, mean age 62 years, 51 % women, with 234 incident T2D cases at 5 years. Triglycerides in small, dense LDL-5 [OR 1.26 (95 % CI 1.11,1.43)], VLDL triglycerides 1.30** [1.16,1.46] and phospholipids in VLDL-1 [OR 1.31 (1.17,1.47)] were associated with higher odds of incident T2D, while free cholesterol in large HDL-1 [OR 0.75 (95 % CI 0.63,0.89)] was inversely associated. The results were similar for prevalent diabetes and did not vary by race/ethnic group. CONCLUSIONS Composition of lipoprotein subfractions is differentially associated with prevalent and incident T2D without difference by race/ethnic group. Assessment of lipoprotein composition may enhance targeted risk reduction for T2D.
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Affiliation(s)
- Meghana D Gadgil
- Division of General Internal Medicine, Department of Medicine, University of California, San Francisco, CA, 1545 Divisadero Street, Suite 320, San Francisco, CA 941430320, United States.
| | - David M Herrington
- Section on Cardiovascular Medicine, Department of Internal Medicine, Wake Forest School of Medicine, Winston Salem, NC, United States
| | - Sukhmani K Singh
- Division of Endocrinology, Department of Medicine, University of California, San Francisco, CA, United States
| | - Namratha R Kandula
- Division of General Internal Medicine and Geriatrics, Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, United States
| | - Alka M Kanaya
- Division of General Internal Medicine, Department of Medicine, University of California, San Francisco, CA, 1545 Divisadero Street, Suite 320, San Francisco, CA 941430320, United States; Department of Epidemiology and Biostatistics, University of California, San Francisco, CA, United States
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9
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Bourgonje AR, Connelly MA, van Goor H, van Dijk PR, Dullaart RPF. Both LDL and HDL particle concentrations associate positively with an increased risk of developing microvascular complications in patients with type 2 diabetes: lost protection by HDL (Zodiac-63). Cardiovasc Diabetol 2023; 22:169. [PMID: 37415152 PMCID: PMC10327395 DOI: 10.1186/s12933-023-01909-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/31/2023] [Accepted: 06/30/2023] [Indexed: 07/08/2023] Open
Abstract
BACKGROUND Triglyceride-rich lipoproteins (TRL) and low-density lipoproteins (LDL) are associated positively whereas high-density lipoproteins (HDL) are associated inversely with the development of new-onset type 2 diabetes (T2D). Here we studied potential associations between these lipoprotein particle concentrations and the risk of developing microvascular complications in patients with established T2D. METHODS Lipoprotein particle concentrations (TRLP, LDLP, and HDLP) were determined in 278 patients with T2D participating in a primary care-based longitudinal cohort study (Zwolle Outpatient Diabetes project Integrating Available Care [ZODIAC] study) leveraging the Vantera nuclear magnetic resonance (NMR) platform using the LP4 algorithm. Associations between lipoprotein particles and incident microvascular complications (nephropathy, neuropathy, and retinopathy) were assessed using Cox proportional hazards regression models. RESULTS In total, 136 patients had microvascular complications at baseline. During a median follow-up of 3.2 years, 49 (34.5%) of 142 patients without microvascular complications at baseline developed new-onset microvascular complications. In multivariable Cox proportional hazards regression analyses, both total LDLP and HDLP concentrations, but not total TRLP concentrations, were positively associated with an increased risk of developing any microvascular complications after adjustment for potential confounding factors, including age, sex, disease duration, HbA1c levels, history of macrovascular complications, and statin use (adjusted hazard ratio [HR] per 1 SD increment: 1.70 [95% CI 1.24-2.34], P < 0.001 and 1.63 [95% CI 1.19-2.23], P = 0.002, respectively). When analyzing each microvascular complication individually, total LDLP concentrations were positively associated with retinopathy (adjusted HR 3.35, 95% CI 1.35-8.30, P = 0.009) and nephropathy (adjusted HR 2.13, 95% CI 1.27-3.35, P = 0.004), and total HDLP concentrations with neuropathy (adjusted HR 1.77, 95% CI 1.15-2.70, P = 0.009). No significant associations were observed for lipoprotein particle subfractions. CONCLUSIONS Total lipoprotein particle concentrations of both LDL and HDL associate positively with an increased risk of developing microvascular complications in T2D. We propose that the protective role of HDL on the development of microvascular complications may be lost in established T2D.
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Affiliation(s)
- Arno R Bourgonje
- Department of Gastroenterology and Hepatology, University of Groningen, University Medical Center Groningen, P.O. Box 30.001, 9700 RB, Groningen, The Netherlands.
- The Henry D. Janowitz Division of Gastroenterology, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
| | | | - Harry van Goor
- Department of Pathology and Medical Biology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Peter R van Dijk
- Department of Internal Medicine, Division of Endocrinology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Robin P F Dullaart
- Department of Internal Medicine, Division of Endocrinology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
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10
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Kalbitzer T, Lobenhofer K, Martin S, Beck Erlach M, Kremer W, Kalbitzer HR. NMR derived changes of lipoprotein particle concentrations related to impaired fasting glucose, impaired glucose tolerance, or manifest type 2 diabetes mellitus. Lipids Health Dis 2023; 22:42. [PMID: 36964528 PMCID: PMC10037821 DOI: 10.1186/s12944-023-01801-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2022] [Accepted: 03/06/2023] [Indexed: 03/26/2023] Open
Abstract
Background Type 2 diabetes mellitus (T2D) and corresponding borderline states, impaired fasting glucose (IFG) and/or glucose tolerance (IGT), are associated with dyslipoproteinemia. It is important to distinguish between factors that cause T2D and that are the direct result of T2D. Methods The lipoprotein subclass patterns of blood donors with IFG, IGT, with IFG combined with IGT, and T2D are analyzed by nuclear magnetic resonance (NMR) spectroscopy. The development of lipoprotein patterns with time is investigated by using samples retained for an average period of 6 years. In total 595 blood donors are classified by oral glucose tolerance test (oGTT) and their glycosylated hemoglobin (HbA1c) concentrations. Concentrations of lipoprotein particles of 15 different subclasses are analyzed in the 10,921 NMR spectra recorded under fasting and non-fasting conditions. The subjects are assumed healthy according to the strict regulations for blood donors before performing the oGTT. Results Under fasting conditions manifest T2D exhibits a significant concentration increase of the smallest HDL particles (HDL A) combined with a decrease in all other HDL subclasses. In contrast to other studies reviewed in this paper, a general concentration decrease of all LDL particles is observed that is most prominent for the smallest LDL particles (LDL A). Under normal nutritional conditions a large, significant increase of the concentrations of VLDL and chylomicrons is observed for all groups with IFG and/or IGT and most prominently for manifest T2D. As we show it is possible to obtain an estimate of the concentrations of the apolipoproteins Apo-A1, Apo-B100, and Apo-B48 from the NMR data. In the actual study cohort, under fasting conditions the concentrations of the lipoproteins are not increased significantly in T2D, under non-fasting conditions only Apo-B48 increases significantly. Conclusion In contrast to other studies, in our cohort of “healthy” blood donors the T2D associated dyslipoproteinemia does not change the total concentrations of the lipoprotein particles produced in the liver under fasting and non-fasting conditions significantly but only their subclass distributions. Compared to the control group, under non-fasting conditions participants with IGT and IFG or T2D show a substantial increase of plasma concentrations of those lipoproteins that are produced in the intestinal tract. The intestinal insulin resistance becomes strongly observable.
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Affiliation(s)
- Tina Kalbitzer
- grid.7727.50000 0001 2190 5763Institute of Biophysics and Physical Biochemistry and Centre of Magnetic Resonance in Chemistry and Biomedicine, University of Regensburg, Universitätsstr. 31, 93040 Regensburg, Germany
| | - Kristina Lobenhofer
- grid.7727.50000 0001 2190 5763Institute of Biophysics and Physical Biochemistry and Centre of Magnetic Resonance in Chemistry and Biomedicine, University of Regensburg, Universitätsstr. 31, 93040 Regensburg, Germany
| | - Silke Martin
- Blutspendedienst des Bayerischen Roten Kreuzes Gemeinnützige GmbH, Herzog-Heinrich-Straße 2, 80336 Munich, Germany
| | - Markus Beck Erlach
- grid.7727.50000 0001 2190 5763Institute of Biophysics and Physical Biochemistry and Centre of Magnetic Resonance in Chemistry and Biomedicine, University of Regensburg, Universitätsstr. 31, 93040 Regensburg, Germany
| | - Werner Kremer
- grid.7727.50000 0001 2190 5763Institute of Biophysics and Physical Biochemistry and Centre of Magnetic Resonance in Chemistry and Biomedicine, University of Regensburg, Universitätsstr. 31, 93040 Regensburg, Germany
| | - Hans Robert Kalbitzer
- grid.7727.50000 0001 2190 5763Institute of Biophysics and Physical Biochemistry and Centre of Magnetic Resonance in Chemistry and Biomedicine, University of Regensburg, Universitätsstr. 31, 93040 Regensburg, Germany
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11
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Denimal D, Monier S, Bouillet B, Vergès B, Duvillard L. High-Density Lipoprotein Alterations in Type 2 Diabetes and Obesity. Metabolites 2023; 13:metabo13020253. [PMID: 36837872 PMCID: PMC9967905 DOI: 10.3390/metabo13020253] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2023] [Revised: 02/07/2023] [Accepted: 02/07/2023] [Indexed: 02/12/2023] Open
Abstract
Alterations affecting high-density lipoproteins (HDLs) are one of the various abnormalities observed in dyslipidemia in type 2 diabetes mellitus (T2DM) and obesity. Kinetic studies have demonstrated that the catabolism of HDL particles is accelerated. Both the size and the lipidome and proteome of HDL particles are significantly modified, which likely contributes to some of the functional defects of HDLs. Studies on cholesterol efflux capacity have yielded heterogeneous results, ranging from a defect to an improvement. Several studies indicate that HDLs are less able to inhibit the nuclear factor kappa-B (NF-κB) proinflammatory pathway, and subsequently, the adhesion of monocytes on endothelium and their recruitment into the subendothelial space. In addition, the antioxidative function of HDL particles is diminished, thus facilitating the deleterious effects of oxidized low-density lipoproteins on vasculature. Lastly, the HDL-induced activation of endothelial nitric oxide synthase is less effective in T2DM and metabolic syndrome, contributing to several HDL functional defects, such as an impaired capacity to promote vasodilatation and endothelium repair, and difficulty counteracting the production of reactive oxygen species and inflammation.
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Affiliation(s)
- Damien Denimal
- INSERM, UMR1231, University of Burgundy, 21000 Dijon, France
- Department of Biochemistry, CHU Dijon Bourgogne, 21000 Dijon, France
- Correspondence:
| | - Serge Monier
- INSERM, UMR1231, University of Burgundy, 21000 Dijon, France
| | - Benjamin Bouillet
- INSERM, UMR1231, University of Burgundy, 21000 Dijon, France
- Department of Endocrinology and Diabetology, CHU Dijon Bourgogne, 21000 Dijon, France
| | - Bruno Vergès
- INSERM, UMR1231, University of Burgundy, 21000 Dijon, France
- Department of Endocrinology and Diabetology, CHU Dijon Bourgogne, 21000 Dijon, France
| | - Laurence Duvillard
- INSERM, UMR1231, University of Burgundy, 21000 Dijon, France
- Department of Biochemistry, CHU Dijon Bourgogne, 21000 Dijon, France
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12
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Wani K, Khattak MNK, Saadawy GM, Al-Attas OS, Alokail MS, Al-Daghri NM. Sex-Specific Cut-Offs of Single Point Insulin Sensitivity Estimator (SPISE) in Predicting Metabolic Syndrome in the Arab Adolescents. Diagnostics (Basel) 2023; 13:diagnostics13020324. [PMID: 36673133 PMCID: PMC9858553 DOI: 10.3390/diagnostics13020324] [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: 12/12/2022] [Revised: 01/11/2023] [Accepted: 01/13/2023] [Indexed: 01/18/2023] Open
Abstract
The Single Point Insulin Sensitivity Estimator (SPISE) is a novel surrogate marker for insulin sensitivity and was found comparable to the gold standard clamp test as well as for predicting the Metabolic Syndrome (MetS) in several populations. The present study aimed to assess for the first time, the validity of SPISE in predicting MetS among Arab adolescents. In this cross-sectional study, 951 Saudi adolescents aged 10−17 years were randomly recruited from different schools across Riyadh, Saudi Arabia. Anthropometrics were measured and fasting blood samples were collected for the assessment of glucose, lipid profile, adipokines, C-reactive protein and 25 hydroxyvitamin (OH) D. MetS was defined using the National Cholesterol Education Program’s (NCEP) criteria with age-specific thresholds for adolescents. The SPISE as well as insulin resistance (HOMA-IR) indices were calculated. The over-all prevalence of MetS was 8.6% (82 out of 951). SPISE index was significantly lower in MetS than non-MetS participants in both sexes (5.5 ± 2.5 vs. 9.4 ± 3.2, p < 0.001 in boys and 4.4 ± 1.4 vs. 8.6 ± 3.2, p < 0.001 in girls). The SPISE index showed a significant inverse correlation with resistin, leptin, and C-reactive protein, and a significant positive correlation with adiponectin and 25(OH) D. Areas under the curve (AUC) revealed fair and good accuracy for predicting MetS 84.1% and 90.3% in boys and girls, respectively. The sex-specific cut-off proposed was SPISE index ≤6.1 (sensitivity 72.2% and specificity 83.9%) for boys and ≤6.46 (sensitivity 96.3% and specificity 73.4%), for girls. This study suggests that the SPISE index is a simple and promising diagnostic marker of insulin sensitivity and MetS in Arab adolescents.
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13
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Association of Advanced Lipoprotein Subpopulation Profiles with Insulin Resistance and Inflammation in Patients with Type 2 Diabetes Mellitus. J Clin Med 2023; 12:jcm12020487. [PMID: 36675414 PMCID: PMC9864672 DOI: 10.3390/jcm12020487] [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: 10/20/2022] [Revised: 11/10/2022] [Accepted: 11/20/2022] [Indexed: 01/11/2023] Open
Abstract
Plasma lipoproteins exist as several subpopulations with distinct particle number and size that are not fully reflected in the conventional lipid panel. In this study, we sought to quantify lipoprotein subpopulations in patients with type 2 diabetes mellitus (T2DM) to determine whether specific lipoprotein subpopulations are associated with insulin resistance and inflammation markers. The study included 57 patients with T2DM (age, 61.14 ± 9.99 years; HbA1c, 8.66 ± 1.60%; mean body mass index, 35.15 ± 6.65 kg/m2). Plasma lipoprotein particles number and size were determined by nuclear magnetic resonance spectroscopy. Associations of different lipoprotein subpopulations with lipoprotein insulin resistance (LPIR) score and glycoprotein acetylation (GlycA) were assessed using multi-regression analysis. In stepwise regression analysis, VLDL and HDL large particle number and size showed the strongest associations with LPIR (R2 = 0.960; p = 0.0001), whereas the concentrations of the small VLDL and HDL particles were associated with GlycA (R2 = 0.190; p = 0.008 and p = 0.049, respectively). In adjusted multi-regression analysis, small and large VLDL particles and all sizes of lipoproteins independently predicted LPIR, whereas only the number of small LDL particles predicted GlycA. Conventional markers HbA1c and Hs-CRP did not exhibit any significant association with lipoprotein subpopulations. Our data suggest that monitoring insulin resistance-induced changes in lipoprotein subpopulations in T2DM might help to identify novel biomarkers that can be useful for effective clinical intervention.
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14
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Boyer BB, Wiener HW, Hopkins SE, Purnell JQ, O'Brien DM, Aliwarga T, Pomeroy JJ, Aslan JE, Thummel KE, Tiwari HK. Obesity-Associated Dyslipidemia Is Moderated by Habitual Intake of Marine-Derived n-3 Polyunsaturated Fatty Acids in Yup'ik Alaska Native People: A Cross-Sectional Mediation-Moderation Analysis. J Nutr 2023; 153:279-292. [PMID: 36913463 PMCID: PMC10196570 DOI: 10.1016/j.tjnut.2022.10.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2022] [Revised: 10/26/2022] [Accepted: 10/31/2022] [Indexed: 12/24/2022] Open
Abstract
BACKGROUND Obesity leads to insulin resistance, altered lipoprotein metabolism, dyslipidemia, and cardiovascular disease. The relationship between long-term intake of n-3 polyunsaturated fatty acids (n-3 PUFAs) and prevention of cardiometabolic disease remains unresolved. OBJECTIVES The aim of this study was to explore direct and indirect pathways between adiposity and dyslipidemia, and the degree to which n-3 PUFAs moderate adiposity-induced dyslipidemia in a population with highly variable n-3 PUFA intake from marine foods. METHODS In total, 571 Yup'ik Alaska Native adults (18-87 y) were enrolled in this cross-sectional study. The red blood cell (RBC) nitrogen isotope ratio (15N/14N, or NIR) was used as a validated objective measure of n-3 PUFA intake. EPA and DHA were measured in RBCs. Insulin sensitivity and resistance were estimated by the HOMA2 method. Mediation analysis was conducted to evaluate the contribution of the indirect causal path between adiposity and dyslipidemia mediated through insulin resistance. Moderation analysis was used to assess the influence of dietary n-3 PUFAs on the direct and indirect paths between adiposity and dyslipidemia. Outcomes of primary interest included plasma total cholesterol (TC), LDL-cholesterol (LDL-C), HDL-cholesterol (HDL-C), non-HDL-C, and triglycerides (TG). RESULTS In this Yup'ik study population, we found that up to 21.6% of the total effects of adiposity on plasma TG, HDL-C, and non-HDL-C are mediated through measures of insulin resistance or sensitivity. Moreover, RBC DHA and EPA moderated the positive association between waist circumference (WC) and TC or non-HDL-C, whereas only DHA moderated the positive association between WC and TG. However, the indirect path between WC and plasma lipids was not significantly moderated by dietary n-3 PUFAs. CONCLUSIONS Intake of n-3 PUFAs may independently reduce dyslipidemia through the direct path resulting from excess adiposity in Yup'ik adults. NIR moderation effects suggest that additional nutrients contained in n-3 PUFA-rich foods may also reduce dyslipidemia.
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Affiliation(s)
- Bert B Boyer
- Oregon Health & Science University, Departments of Obstetrics and Gynecology and Medicine, Portland, OR, USA.
| | - Howard W Wiener
- University of Alabama at Birmingham, Department of Epidemiology, Birmingham, AL, USA
| | - Scarlett E Hopkins
- Oregon Health & Science University, Departments of Obstetrics and Gynecology and Medicine, Portland, OR, USA
| | - Jonathan Q Purnell
- Oregon Health & Science University, Departments of Obstetrics and Gynecology and Medicine, Portland, OR, USA
| | - Diane M O'Brien
- University of Alaska Fairbanks, Department of Biology and Wildlife, Fairbanks, AK, USA
| | - Theresa Aliwarga
- University of Washington, Department of Pharmaceutics, Seattle, WA, USA
| | - Jeremy J Pomeroy
- Marshfield Clinic, Clinical Research Center, Marshfield, WI, USA
| | - Joseph E Aslan
- Oregon Health & Science University, Departments of Obstetrics and Gynecology and Medicine, Portland, OR, USA
| | - Kenneth E Thummel
- University of Washington, Department of Pharmaceutics, Seattle, WA, USA
| | - Hemant K Tiwari
- University of Alabama at Birmingham, Department of Biostatistics, Birmingham, AL, USA
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15
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Chen K, Zheng J, Shao C, Zhou Q, Yang J, Huang T, Tang YD. Causal effects of genetically predicted type 2 diabetes mellitus on blood lipid profiles and concentration of particle-size-determined lipoprotein subclasses: A two-sample Mendelian randomization study. Front Cardiovasc Med 2022; 9:965995. [PMID: 36312274 PMCID: PMC9606322 DOI: 10.3389/fcvm.2022.965995] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2022] [Accepted: 09/20/2022] [Indexed: 12/02/2022] Open
Abstract
Background Observational studies have shown inconsistent results of the associations between type 2 diabetes mellitus (T2DM) and blood lipid profiles, while there is also a lack of evidence from randomized controlled trials (RCTs) for the causal effects of T2DM on blood lipid profiles and lipoprotein subclasses. Objectives Our study aimed at investigating the causal effects of T2DM on blood lipid profiles and concentration of particle-size-determined lipoprotein subclasses by using the two-sample Mendelian randomization (MR) method. Methods We obtained genetic variants for T2DM and blood lipid profiles including high-density lipoprotein-cholesterol (HDL-C), low-density lipoprotein-cholesterol (LDL-C), triglycerides (TG), and total cholesterol (TC) from international genome-wide association studies (GWASs). Two-sample MR method was applied to explore the potential causal effects of genetically predicted T2DM on blood lipid profiles based on different databases, respectively, and results from each MR analysis were further meta-analyzed to obtain the summary results. The causal effects of genetically predicted T2DM on the concentration of different subclasses of lipoproteins that are determined by particle size were also involved in MR analysis. Results Genetically predicted 1-unit higher log odds of T2DM had a significant causal effect on a higher level of TG (estimated β coefficient: 0.03, 95% confidence interval [CI]: 0.00 to 0.06) and lower level of HDL-C (estimated β coefficient: −0.09, 95% CI: −0.11 to −0.06). The causality of T2DM on the level of TC or LDL-C was not found (estimated β coefficient: −0.01, 95% CI: −0.02 to 0.01 for TC and estimated β coefficient: 0.01, 95% CI: −0.01 to 0.02 for LDL-C). For different sizes of lipoprotein particles, 1-unit higher log odds of T2DM was causally associated with higher level of small LDL particles, and lower level of medium HDL particles, large HDL particles, and very large HDL particles. Conclusion Evidence from our present study showed causal effects of T2DM on the level of TG, HDL-C, and concentration of different particle sizes of lipoprotein subclasses comprehensively, which might be particularly helpful in illustrating dyslipidemia experienced by patients with T2DM, and further indicate new treatment targets for these patients to prevent subsequent excessive cardiovascular events from a genetic point of view.
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Affiliation(s)
- Ken Chen
- Key Laboratory of Molecular Cardiovascular Sciences, Department of Cardiology, Institute of Vascular Medicine, Ministry of Education, Peking University Third Hospital, Beijing, China,Department of Cardiology, Xinhua Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Jilin Zheng
- Key Laboratory of Molecular Cardiovascular Sciences, Department of Cardiology, Institute of Vascular Medicine, Ministry of Education, Peking University Third Hospital, Beijing, China
| | - Chunli Shao
- Key Laboratory of Molecular Cardiovascular Sciences, Department of Cardiology, Institute of Vascular Medicine, Ministry of Education, Peking University Third Hospital, Beijing, China,Department of Cardiology, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China,Graduate School of Peking Union Medical College, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Qing Zhou
- Department of Cardiology, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China,Graduate School of Peking Union Medical College, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Jie Yang
- Department of Cardiology, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China,Graduate School of Peking Union Medical College, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Tao Huang
- Key Laboratory of Molecular Cardiovascular Sciences, Department of Cardiology, Institute of Vascular Medicine, Ministry of Education, Peking University Third Hospital, Beijing, China,Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China,Department of Global Health, School of Public Health, Peking University, Beijing, China,Center for Intelligent Public Health, Institute for Artificial Intelligence, Peking University, Beijing, China
| | - Yi-Da Tang
- Key Laboratory of Molecular Cardiovascular Sciences, Department of Cardiology, Institute of Vascular Medicine, Ministry of Education, Peking University Third Hospital, Beijing, China,Department of Cardiology, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China,Graduate School of Peking Union Medical College, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China,*Correspondence: Yi-Da Tang
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16
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Çildağ MB, Şahin T, Ceylan E, Şavk ŞÖ. The Effect of Atherosclerotic Load on Transmetatarsal Amputation Failure in Patients with Diabetic Foot. MEANDROS MEDICAL AND DENTAL JOURNAL 2022. [DOI: 10.4274/meandros.galenos.2022.68815] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/01/2022]
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17
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Hu X, Liu Q, Guo X, Wang W, Yu B, Liang B, Zhou Y, Dong H, Lin J. The role of remnant cholesterol beyond low-density lipoprotein cholesterol in diabetes mellitus. Cardiovasc Diabetol 2022; 21:117. [PMID: 35761281 PMCID: PMC9238255 DOI: 10.1186/s12933-022-01554-0] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/01/2022] [Accepted: 06/19/2022] [Indexed: 02/07/2023] Open
Abstract
BACKGROUND Previous research has linked elevated low-density lipoprotein cholesterol (LDL-C) and remnant cholesterol (RC) with diabetes mellitus (DM). The present study aims to estimate the RC-related DM risk beyond LDL-C, and to investigate the extent to which the association of RC and DM is mediated via insulin resistance and inflammation. METHODS We enrolled 7308 individuals without previous history of DM into the present study from the China Health and Nutrition Survey. Fasting RC was calculated as total cholesterol minus LDL-C and high-density lipoprotein cholesterol. Subjects were divided into four groups according to their LDL-C (100 mg/dL) and RC (24 mg/dL) levels to evaluate the role of LDL-C vs. RC on DM. A logistic regression analysis was then employed to evaluate the relationships between the discordant/concordant LDL-C and RC and DM. A mediation analysis was undertaken to identify potential mediators. RESULTS Of all the participants, a total of 625 (8.55%) patients were newly diagnosed with DM. Compared to the high LDL-C/low RC group, the low LDL-C/high RC group was more common in DM patients. After a multivariate adjustment, elevated LDL-C and RC were associated with DM. Moreover, the low LDL-C/high RC group and the high LDL-C/low RC group manifested a 4.04-fold (95% CI 2.93-5.56) and 1.61-fold (95% CI 1.21-2.15) higher risk of DM, relative to those with low LDL-C/low RC. The subgroup analysis indicated that low LDL-C/high RC was more likely to be related to DM in females. Similar results were also shown when the sensitivity analyses were performed with different clinical cut-points of LDL-C. Insulin resistance and inflammation partially mediated the association between RC and DM. CONCLUSIONS Our findings provided evidence for RC beyond the LDL-C associations with DM that may be mediated via insulin resistance and the pro-inflammatory state. In addition, women are more susceptible to RC exposure-related DM.
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Affiliation(s)
- Xiangming Hu
- Department of Cardiology, Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Provincial People's Hospital, Guangdong Cardiovascular Institute, Guangdong Academy of Medical Sciences, Guangzhou, 510080, Guangdong, China
- The Second School of Clinical Medicine, Southern Medical University, Guangzhou, 510515, Guangdong, China
| | - Qunzhi Liu
- Department of Cardiology, Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Provincial People's Hospital, Guangdong Cardiovascular Institute, Guangdong Academy of Medical Sciences, Guangzhou, 510080, Guangdong, China
| | - Xingyuan Guo
- Shantou University Medical College, Shantou, 515041, Guangdong, China
| | - Weimian Wang
- Department of Cardiology, Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Provincial People's Hospital, Guangdong Cardiovascular Institute, Guangdong Academy of Medical Sciences, Guangzhou, 510080, Guangdong, China
- The Second School of Clinical Medicine, Southern Medical University, Guangzhou, 510515, Guangdong, China
| | - Bingyan Yu
- Department of Cardiology, Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Provincial People's Hospital, Guangdong Cardiovascular Institute, Guangdong Academy of Medical Sciences, Guangzhou, 510080, Guangdong, China
| | - Beijia Liang
- Department of Cardiology, Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Provincial People's Hospital, Guangdong Cardiovascular Institute, Guangdong Academy of Medical Sciences, Guangzhou, 510080, Guangdong, China
| | - Yingling Zhou
- Department of Cardiology, Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Provincial People's Hospital, Guangdong Cardiovascular Institute, Guangdong Academy of Medical Sciences, Guangzhou, 510080, Guangdong, China
| | - Haojian Dong
- Department of Cardiology, Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Provincial People's Hospital, Guangdong Cardiovascular Institute, Guangdong Academy of Medical Sciences, Guangzhou, 510080, Guangdong, China.
| | - Jijin Lin
- Department of Cardiology, Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Provincial People's Hospital, Guangdong Cardiovascular Institute, Guangdong Academy of Medical Sciences, Guangzhou, 510080, Guangdong, China.
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18
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Garcia E, Shalaurova I, Matyus SP, Schutten JC, Bakker SJL, Dullaart RPF, Connelly MA. Nuclear Magnetic Resonance-Measured Ionized Magnesium Is Inversely Associated with Type 2 Diabetes in the Insulin Resistance Atherosclerosis Study. Nutrients 2022; 14:nu14091792. [PMID: 35565760 PMCID: PMC9103587 DOI: 10.3390/nu14091792] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2022] [Revised: 04/21/2022] [Accepted: 04/22/2022] [Indexed: 02/05/2023] Open
Abstract
The aims were to optimize a nuclear magnetic resonance (NMR)-based assay for quantifying ionized or free magnesium and investigate its association with type 2 diabetes (T2D). A high-throughput, ionized magnesium assay was optimized and evaluated. Plasma magnesium was quantified, and associations with T2D were ascertained in Insulin Resistance Atherosclerosis Study (IRAS) participants. Coefficients of variation for the ionized magnesium assay ranged from 0.7−1.5% for intra-assay and 4.2−4.7% for inter-assay precision. In IRAS (n = 1342), ionized magnesium was significantly lower in subjects with prediabetes and T2D than in normoglycemic subjects, and lower in participants with T2D than those with prediabetes (p < 0.0001). Cross-sectional regression analyses revealed that magnesium was associated with T2D at baseline in models adjusted for multiple clinical risk factors (p = 0.032). This association appeared to be modified by sex, in such a way that the associations were present in women (OR = 0.54 (95% CI 0.37−0.79), p = 0.0015) and not in men (OR = 0.98 (95% CI 0.71−1.35), p = 0.90). Longitudinal regression analyses revealed an inverse association between magnesium and future T2D in the total population (p = 0.035) that was attenuated by LP-IR (p = 0.22). No interactions were detected between magnesium and age, race, BMI, glucose, insulin, triglycerides, or LPIR for the prospective association with future T2D. However, a significant interaction between magnesium and sex was present, now with a trend for an association in men (OR = 0.75 (95% CI 0.55−1.02), p = 0.065 and absence of an association in women (OR = 1.01 (0.76−1.33), p = 0.97). Conclusions: lower ionized magnesium, as measured by an NMR-based assay optimized for accuracy and precision, was associated cross-sectionally with T2D at baseline and longitudinally with incident T2D in IRAS.
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Affiliation(s)
- Erwin Garcia
- Laboratory Corporation of America Holdings (Labcorp), Morrisville, NC 27560, USA; (E.G.); (I.S.); (S.P.M.)
| | - Irina Shalaurova
- Laboratory Corporation of America Holdings (Labcorp), Morrisville, NC 27560, USA; (E.G.); (I.S.); (S.P.M.)
| | - Steven P. Matyus
- Laboratory Corporation of America Holdings (Labcorp), Morrisville, NC 27560, USA; (E.G.); (I.S.); (S.P.M.)
| | - Joelle C. Schutten
- Department of Internal Medicine, Division of Nephrology, University Medical Center Groningen, University of Groningen, 9700 RB Groningen, The Netherlands; (J.C.S.); (S.J.L.B.)
| | - Stephan J. L. Bakker
- Department of Internal Medicine, Division of Nephrology, University Medical Center Groningen, University of Groningen, 9700 RB Groningen, The Netherlands; (J.C.S.); (S.J.L.B.)
| | - Robin P. F. Dullaart
- Department of Internal Medicine, Division of Endocrinology, University Medical Center Groningen, University of Groningen, 9700 RB Groningen, The Netherlands;
| | - Margery A. Connelly
- Laboratory Corporation of America Holdings (Labcorp), Morrisville, NC 27560, USA; (E.G.); (I.S.); (S.P.M.)
- Correspondence:
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Lin Y, Fan R, Hao Z, Li J, Yang X, Zhang Y, Xia Y. The Association Between Physical Activity and Insulin Level Under Different Levels of Lipid Indices and Serum Uric Acid. Front Physiol 2022; 13:809669. [PMID: 35185617 PMCID: PMC8847671 DOI: 10.3389/fphys.2022.809669] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2021] [Accepted: 01/06/2022] [Indexed: 12/21/2022] Open
Abstract
Objectives Insulin resistance (IR) has been shown to play important role in the pathogenesis of type 2 diabetes mellitus (T2DM). There is an intricate interplay between IR, dyslipidemia, and serum uric acid (SUA) in people with and without diabetes. Physical activity has a positive impact on insulin sensitivity in insulin-resistant populations. However, the effect of different intensities of physical activity on insulin levels under different lipid indices and SUA levels is unclear. Methods To explore the association between physical activity and insulin, we enrolled 12,982 participants aged above 18 years from the National Health and Nutrition Examination Survey (NHANES) conducted between 2009 and 2018. Next, we conducted multivariate logistic regression analyses, generated fitted smoothing curves, and visualized the data using generalized additive models. Results Increased intensities of physical activity can significantly reduce insulin levels. The association between physical activity and insulin persisted even after adjusting for confounding factors, with β value (95% CI) = −17.10 (−21.64, −12.56) in moderate group, β value (95% CI) = −28.60 (−33.08, −24.11) in high group, respectively. High-intensity physical activity significantly lowered insulin levels in the lower and higher SUA tertiles, and three tertiles of LDL-c, HDL-c, and TG. Moreover, the link between physical activity and insulin was stronger in male individuals. Conclusion This study shows that physical activity can significantly lower insulin levels, and high-intensity physical activity still has additional potential benefits for insulin levels, even in the condition of dyslipidemia and hyperuricemia.
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Zhang W, Jin J, Zhang H, Zhu Y, Dong Q, Sun J, Guo Y, Dou K, Xu R, Li J. The value of HDL subfractions in predicting cardiovascular outcomes in untreated, diabetic patients with stable coronary artery disease: An age- and gender-matched case-control study. Front Endocrinol (Lausanne) 2022; 13:1041555. [PMID: 36714594 PMCID: PMC9877453 DOI: 10.3389/fendo.2022.1041555] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/11/2022] [Accepted: 12/28/2022] [Indexed: 01/14/2023] Open
Abstract
OBJECTIVE The aim of the present study was to examine the value of high-density lipoprotein (HDL) subfractions for predicting cardiovascular events (CVEs) in untreated type 2 diabetes mellitus (T2DM) patients with stable coronary artery disease (SCAD) using an age- and gender-matched case-control study. METHODS In total, 185 SCAD patients and 185 T2DM patients with SCAD were enrolled and subjected to a clinical follow-up of CVEs. HDL subfractions were analyzed using the Quantimetrix Lipoprint System. The relationship between HDL subfractions and CVEs in T2DM patients with SCAD was evaluated by Kaplan-Meier analysis and Cox proportional hazard models. RESULTS During a median 37.7-month follow-up, T2DM patients with SCAD had a higher percentage of CVEs compared to SCAD patients (p=0.039). The concentration of the combined intermediate and small HDL-C subfraction (defined as the mixed HDL subfraction) was related to the event incidence in T2DM patients with SCAD (p=0.004), and it was positively associated with increased CVEs even after adjustment in three models. Kaplan-Meier curve analysis indicated that T2DM patients with SCAD in the high mixed HDL subfraction group (>28 mg/dL) had lower event-free survival rates (p=0.008). CONCLUSIONS Elevated concentration of the mixed HDL subfraction concentration predicts events in T2DM patients with SCAD.
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Affiliation(s)
| | | | | | | | | | | | | | | | - Ruixia Xu
- *Correspondence: Ruixia Xu, ; JianJun Li,
| | - JianJun Li
- *Correspondence: Ruixia Xu, ; JianJun Li,
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21
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Merrill AK, Anderson T, Conrad K, Marvin E, James-Todd T, Cory-Slechta DA, Sobolewski M. Protracted Impairment of Maternal Metabolic Health in Mouse Dams Following Pregnancy Exposure to a Mixture of Low Dose Endocrine-Disrupting Chemicals, a Pilot Study. TOXICS 2021; 9:346. [PMID: 34941779 PMCID: PMC8706199 DOI: 10.3390/toxics9120346] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/07/2021] [Revised: 11/19/2021] [Accepted: 12/07/2021] [Indexed: 12/22/2022]
Abstract
Pregnancy, a period of increased metabolic demands coordinated by fluctuating steroid hormones, is an understudied critical window of disease susceptibility for later-life maternal metabolic health. Epidemiological studies have identified associations between exposures to various endocrine-disrupting chemicals (EDCs) with an increased risk for metabolic syndrome, obesity, and diabetes. Whether such adverse outcomes would be heightened by concurrent exposures to multiple EDCs during pregnancy, consistent with the reality that human exposures are to EDC mixtures, was examined in the current pilot study. Mouse dams were orally exposed to relatively low doses of four EDCs: (atrazine (10 mg/kg), bisphenol-A (50 µg/kg), perfluorooctanoic acid (0.1 mg/kg), 2,3,7,8-tetrachlorodibenzo-p-dioxin (0.036 µg/kg)), or the combination (MIX), from gestational day 7 until birth or for an equivalent 12 days in non-pregnant females. Glucose intolerance, serum lipids, weight, and visceral adiposity were assessed six months later. MIX-exposed dams exhibited hyperglycemia with a persistent elevation in blood glucose two hours after glucose administration in a glucose tolerance test, whereas no such effects were observed in MIX-exposed non-pregnant females. Correspondingly, MIX dams showed elevated serum low-density lipoprotein (LDL). There were no statistically significant differences in weight or visceral adipose; MIX dams showed an average visceral adipose volume to body volume ratio of 0.09, while the vehicle dams had an average ratio of 0.07. Collectively, these findings provide biological plausibility for the epidemiological associations observed between EDC exposures during pregnancy and subsequent maternal metabolic dyshomeostasis, and proof of concept data that highlight the importance of considering complex EDC mixtures based of off common health outcomes, e.g., for increased risk for later-life maternal metabolic effects following pregnancy.
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Affiliation(s)
- Alyssa K. Merrill
- Department of Environmental Medicine, University of Rochester School of Medicine, Rochester, NY 14642, USA; (A.K.M.); (T.A.); (K.C.); (E.M.); (D.A.C.-S.)
| | - Timothy Anderson
- Department of Environmental Medicine, University of Rochester School of Medicine, Rochester, NY 14642, USA; (A.K.M.); (T.A.); (K.C.); (E.M.); (D.A.C.-S.)
| | - Katherine Conrad
- Department of Environmental Medicine, University of Rochester School of Medicine, Rochester, NY 14642, USA; (A.K.M.); (T.A.); (K.C.); (E.M.); (D.A.C.-S.)
| | - Elena Marvin
- Department of Environmental Medicine, University of Rochester School of Medicine, Rochester, NY 14642, USA; (A.K.M.); (T.A.); (K.C.); (E.M.); (D.A.C.-S.)
| | - Tamarra James-Todd
- Department of Environmental Health, Harvard University, Boston, MA 02115, USA;
| | - Deborah A. Cory-Slechta
- Department of Environmental Medicine, University of Rochester School of Medicine, Rochester, NY 14642, USA; (A.K.M.); (T.A.); (K.C.); (E.M.); (D.A.C.-S.)
| | - Marissa Sobolewski
- Department of Environmental Medicine, University of Rochester School of Medicine, Rochester, NY 14642, USA; (A.K.M.); (T.A.); (K.C.); (E.M.); (D.A.C.-S.)
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22
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Jin Q, Ma RCW. Metabolomics in Diabetes and Diabetic Complications: Insights from Epidemiological Studies. Cells 2021; 10:cells10112832. [PMID: 34831057 PMCID: PMC8616415 DOI: 10.3390/cells10112832] [Citation(s) in RCA: 61] [Impact Index Per Article: 20.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2021] [Revised: 10/11/2021] [Accepted: 10/13/2021] [Indexed: 12/18/2022] Open
Abstract
The increasing prevalence of diabetes and its complications, such as cardiovascular and kidney disease, remains a huge burden globally. Identification of biomarkers for the screening, diagnosis, and prognosis of diabetes and its complications and better understanding of the molecular pathways involved in the development and progression of diabetes can facilitate individualized prevention and treatment. With the advancement of analytical techniques, metabolomics can identify and quantify multiple biomarkers simultaneously in a high-throughput manner. Providing information on underlying metabolic pathways, metabolomics can further identify mechanisms of diabetes and its progression. The application of metabolomics in epidemiological studies have identified novel biomarkers for type 2 diabetes (T2D) and its complications, such as branched-chain amino acids, metabolites of phenylalanine, metabolites involved in energy metabolism, and lipid metabolism. Metabolomics have also been applied to explore the potential pathways modulated by medications. Investigating diabetes using a systems biology approach by integrating metabolomics with other omics data, such as genetics, transcriptomics, proteomics, and clinical data can present a comprehensive metabolic network and facilitate causal inference. In this regard, metabolomics can deepen the molecular understanding, help identify potential therapeutic targets, and improve the prevention and management of T2D and its complications. The current review focused on metabolomic biomarkers for kidney and cardiovascular disease in T2D identified from epidemiological studies, and will also provide a brief overview on metabolomic investigations for T2D.
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Affiliation(s)
- Qiao Jin
- Department of Medicine and Therapeutics, Prince of Wales Hospital, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong, China;
| | - Ronald Ching Wan Ma
- Department of Medicine and Therapeutics, Prince of Wales Hospital, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong, China;
- Laboratory for Molecular Epidemiology in Diabetes, Li Ka Shing Institute of Health Sciences, 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
- 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
- Correspondence: ; Fax: +852-26373852
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23
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Yahya R, Jainandunsing S, Rashid M, van der Zee L, Touw A, de Rooij FWM, Sijbrands EJG, Verhoeven AJM, Mulder MT. HDL associates with insulin resistance and beta-cell dysfunction in South Asian families at risk of type 2 diabetes. J Diabetes Complications 2021; 35:107993. [PMID: 34384708 DOI: 10.1016/j.jdiacomp.2021.107993] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/04/2021] [Revised: 06/23/2021] [Accepted: 07/12/2021] [Indexed: 01/11/2023]
Abstract
OBJECTIVE Dyslipidemia precedes type 2 diabetes (T2D) and worsens with increasing glucose intolerance. First degree relatives of T2D patients have an increased risk to develop dyslipidemia and glucose intolerance. The aim of the present study was to assess the relation between the development of dyslipidemia and glucose intolerance in first-degree relatives of T2D patients. RESEARCH DESIGN AND METHODS Fasting lipoprotein profiles were determined by density gradient ultracentrifugation in T2D patients and their first-degree relatives (42 Caucasians and 33 South Asians), and in 29 normoglycemic controls from non-T2D families. Glucose tolerance, insulin sensitivity index (ISI) and insulin disposition index (DI) were assessed by an extended, frequently sampled oral glucose tolerance test (OGTT), and fractional insulin synthesis rate (FSR) was measured by 13C-leucine enrichment in urinary C-peptide during the OGTT. RESULTS Of the first-degree relatives, 40, 16 and 19 had NGT, prediabetes and T2D, respectively. NGT family members had lower plasma HDL-cholesterol (HDLC) (1.34 ± 0.07 vs 1.58 ± 0.06 mmol/L; p = 0.015), HDL2-C (0.41 ± 0.05 vs 0.57 ± 0.05 mmol/L; p = 0.021) and HDL3-C (0.62 ± 0.03 vs 0.72 ± 0.02 mmol/L; p = 0.043) than controls. HDL2-C levels tended to decrease with increasing glucose intolerance state. In South Asians, buoyant LDL-C levels decreased with increasing glucose intolerance state (p = 0.006). In South Asian families, HDL-C correlated with both ISI and DI (β 0.42; p = 0.04 and β 0.53; p = 0.01, respectively), whereas HDL2-C and HDL3-C levels correlated with DI (β 0.64; p = 0.002 and β 0.57; p = 0.005, respectively). HDL2-C and plasma triglyceride correlated with FSR (β 0.48; p = 0.033 and β -0.50; p = 0.029, respectively). CONCLUSIONS Low HDL2-C and HDL3-C levels are present in NGT first-degree relatives of T2D patients, and HDL2-C tend to decrease further with increasing glucose intolerance. In South Asian families HDL2-C and HDL3-C levels linked predominantly to deteriorating beta cell function.
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Affiliation(s)
- R Yahya
- Department of Internal Medicine, Section Pharmacology, Vascular Medicine, Cardiovascular Research School COEUR, Erasmus MC, University Medical Center Rotterdam, the Netherlands
| | - S Jainandunsing
- Department of Internal Medicine, Section Pharmacology, Vascular Medicine, Cardiovascular Research School COEUR, Erasmus MC, University Medical Center Rotterdam, the Netherlands
| | - M Rashid
- Department of Internal Medicine, Section Pharmacology, Vascular Medicine, Cardiovascular Research School COEUR, Erasmus MC, University Medical Center Rotterdam, the Netherlands
| | - L van der Zee
- Department of Internal Medicine, Section Pharmacology, Vascular Medicine, Cardiovascular Research School COEUR, Erasmus MC, University Medical Center Rotterdam, the Netherlands
| | - A Touw
- Department of Internal Medicine, Section Pharmacology, Vascular Medicine, Cardiovascular Research School COEUR, Erasmus MC, University Medical Center Rotterdam, the Netherlands
| | - F W M de Rooij
- Department of Internal Medicine, Section Pharmacology, Vascular Medicine, Cardiovascular Research School COEUR, Erasmus MC, University Medical Center Rotterdam, the Netherlands
| | - E J G Sijbrands
- Department of Internal Medicine, Section Pharmacology, Vascular Medicine, Cardiovascular Research School COEUR, Erasmus MC, University Medical Center Rotterdam, the Netherlands
| | - A J M Verhoeven
- Department of Internal Medicine, Section Pharmacology, Vascular Medicine, Cardiovascular Research School COEUR, Erasmus MC, University Medical Center Rotterdam, the Netherlands.
| | - M T Mulder
- Department of Internal Medicine, Section Pharmacology, Vascular Medicine, Cardiovascular Research School COEUR, Erasmus MC, University Medical Center Rotterdam, the Netherlands
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Triglyceride-rich lipoprotein and LDL particle subfractions and their association with incident type 2 diabetes: the PREVEND study. Cardiovasc Diabetol 2021; 20:156. [PMID: 34321006 PMCID: PMC8320057 DOI: 10.1186/s12933-021-01348-w] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/18/2021] [Accepted: 07/20/2021] [Indexed: 12/29/2022] Open
Abstract
Background Triglyceride-rich lipoproteins particles (TRLP) and low density lipoprotein particles (LDLP) vary in size. Their association with β-cell function is not well described. We determined associations of TRLP and LDLP subfractions with β-cell function, estimated as HOMA-β, and evaluated their associations with incident T2D in the general population. Methods We included 4818 subjects of the Prevention of Renal and Vascular End-Stage Disease (PREVEND) study without T2D at baseline. TRLP and LDLP subfraction concentrations and their average sizes were measured using the LP4 algorithm of the Vantera nuclear magnetic resonance platform. HOMA-IR was used as measure of insulin resistance. HOMA-β was used as a proxy of β-cell function. Results In subjects without T2D at baseline, very large TRLP, and LDL size were inversely associated with HOMA-β, whereas large TRLP were positively associated with HOMA-β when taking account of HOMA-IR. During a median follow-up of 7.3 years, 263 participants developed T2D. In multivariable-adjusted Cox regression models, higher concentrations of total, very large, large, and very small TRLP (reflecting remnants lipoproteins) and greater TRL size were associated with an increased T2D risk after adjustment for relevant covariates, including age, sex, BMI, HDL-C, HOMA-β, and HOMA-IR. On the contrary, higher concentrations of large LDLP and greater LDL size were associated with a lower risk of developing T2D. Conclusions Specific TRL and LDL particle characteristics are associated with β-cell function taking account of HOMA-IR. Moreover, TRL and LDL particle characteristics are differently associated with incident T2D, even when taking account of HOMA-β and HOMA-IR. Supplementary Information The online version contains supplementary material available at 10.1186/s12933-021-01348-w.
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Noakes TD. Hiding unhealthy heart outcomes in a low-fat diet trial: the Women's Health Initiative Randomized Controlled Dietary Modification Trial finds that postmenopausal women with established coronary heart disease were at increased risk of an adverse outcome if they consumed a low-fat 'heart-healthy' diet. Open Heart 2021; 8:openhrt-2021-001680. [PMID: 34290045 PMCID: PMC8296783 DOI: 10.1136/openhrt-2021-001680] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 06/14/2021] [Indexed: 12/11/2022] Open
Abstract
The Women’s Health Initiative Randomized Controlled Dietary Modification Trial (WHIRCDMT) was designed to test whether the US Department of Agriculture’s 1977 Dietary Guidelines for Americans protects against coronary heart disease (CHD) and other chronic diseases. The only significant finding in the original 2006 WHIRCDMT publication was that postmenopausal women with CHD randomised to a low-fat ‘heart-healthy’ diet in 1993 were at 26% greater risk of developing additional CHD events compared with women with CHD eating the control diet. A 2017 WHIRCDMT publication includes data for an additional 5 years of follow-up. It finds that CHD risk in this subgroup of postmenopausal women had increased further to 47%–61%. The authors present three post-hoc rationalisations to explain why this finding is ‘inadmissible’: (1) only women in this subgroup were less likely to adhere to the prescribed dietary intervention; (2) their failure to follow the intervention diet increased their CHD risk; and (3) only these women were more likely to not have received cholesterol-lowering drugs. These rationalisations appear spurious. Rather these findings are better explained as a direct consequence of postmenopausal women with features of insulin resistance (IR) eating a low-fat high-carbohydrate diet for 13 years. All the worst clinical features of IR, including type 2 diabetes mellitus (T2DM) in some, can be ‘reversed’ by the prescription of a high-fat low-carbohydrate diet. The Women’s Health Study has recently reported that T2DM (10.71-fold increased risk) and other markers of IR including metabolic syndrome (6.09-fold increased risk) were the most powerful predictors of future CHD development in women; blood low-density lipoprotein-cholesterol concentration was a poor predictor (1.38-fold increased risk). These studies challenge the prescription of the low-fat high-carbohydrate heart-healthy diet, at least in postmenopausal women with IR, especially T2DM. According to the medical principle of ‘first do no harm’, this practice is now shown to be not evidence-based, making it scientifically unjustifiable, perhaps unethical.
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Affiliation(s)
- Timothy David Noakes
- Applied Design, Cape Peninsula University of Technology, Bellville, South Africa
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Cao X, Tang Z, Zhang J, Li H, Singh M, Sun F, Li X, Li C, Wang Y, Guo X, Zheng D. Association between high-density lipoprotein cholesterol and type 2 diabetes mellitus among Chinese: the Beijing longitudinal study of aging. Lipids Health Dis 2021; 20:71. [PMID: 34273996 PMCID: PMC8286580 DOI: 10.1186/s12944-021-01499-5] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2021] [Accepted: 07/05/2021] [Indexed: 12/18/2022] Open
Abstract
Background Some previous studies on different populations have yielded inconsistent findings with respect to the relationship between levels of high-density lipoprotein cholesterol (HDL-C) and future type 2 diabetes mellitus (T2DM) incidence. This study was designed to gain further insight into this relationship through a cohort study with a 25-year follow-up duration. Methods In total, 1462 individuals that were 55 years of age or older and were free of T2DM at baseline were enrolled in the present study. T2DM incidence among this study population was detected through self-reported diagnoses or the concentration of fasting plasma glucose. The data were derived from nine surveys conducted from 1992 to 2017. The correlation between HDL-C levels and the T2DM risk was assessed through Cox proportional-hazards model and proportional hazards model for the sub-distribution with time-dependent variables. Results Over the follow-up period, 120 participants were newly diagnosed with new-onset T2DM. When research participants were separated into four groups on the basis for quartiles of their levels of HDL-C measured at baseline, and incidence of diabetes declined with higher baseline HDL-C levels at 12.60, 9.70, 5.38, and 5.22 per 1000 person-years, respectively. Adjusted hazard ratios (HRs) were 0.98 (95% confidence interval [CI]: 0.62–1.55), 0.48 (95% CI: 0.27–0.85) and 0.44 (95% CI: 0.25–0.80) for individuals with HDL-C levels within the 1.15–1.39, 1.40–1.69, and ≥ 1.70 mmol/L ranges relative to participants with HDL-C levels < 1.15 mmol/L. Multiple sensitivity analyses similarly revealed reduced risk of diabetes incidence with increased HDL-C levels. Incorporating the levels of HDL-C into a multivariate model significantly enhanced the overall power of the predictive model (P values were 0.0296, 0.0011, respectively, for 5- and 10-year risk of diabetes). Conclusions Levels of HDL-C were independently and negatively associated with the risk of the new-onset T2DM among middle-aged and elderly Chinese. Supplementary Information The online version contains supplementary material available at 10.1186/s12944-021-01499-5.
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Affiliation(s)
- Xue Cao
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, 100069, China
| | - Zhe Tang
- Beijing Geriatric Healthcare Center, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China
| | - Jie Zhang
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, 100069, China.,Beijing Municipal Key Laboratory of Clinical Epidemiology, Capital Medical University, Beijing, 100069, China
| | - Haibin Li
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, 100069, China.,Beijing Municipal Key Laboratory of Clinical Epidemiology, Capital Medical University, Beijing, 100069, China
| | - Manjot Singh
- School of Medical and Health Sciences, Edith Cowan University, Joondalup, WA, 6027, Australia
| | - Fei Sun
- Beijing Geriatric Healthcare Center, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China
| | - Xiaochun Li
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, 100069, China.,Beijing Municipal Key Laboratory of Clinical Epidemiology, Capital Medical University, Beijing, 100069, China
| | - Changwei Li
- Department of Epidemiology and Biostatistics, College of Public Health, University of Georgia, Athens, GA, 30602, USA.,Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA, 70118, USA
| | - Youxin Wang
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, 100069, China.,Beijing Municipal Key Laboratory of Clinical Epidemiology, Capital Medical University, Beijing, 100069, China
| | - Xiuhua Guo
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, 100069, China.,Beijing Municipal Key Laboratory of Clinical Epidemiology, Capital Medical University, Beijing, 100069, China
| | - Deqiang Zheng
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, 100069, China. .,Beijing Municipal Key Laboratory of Clinical Epidemiology, Capital Medical University, Beijing, 100069, China.
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Sokooti S, Flores-Guerrero JL, Kieneker LM, Heerspink HJL, Connelly MA, Bakker SJL, Dullaart RPF. HDL Particle Subspecies and Their Association With Incident Type 2 Diabetes: The PREVEND Study. J Clin Endocrinol Metab 2021; 106:1761-1772. [PMID: 33567068 PMCID: PMC8118359 DOI: 10.1210/clinem/dgab075] [Citation(s) in RCA: 23] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/20/2020] [Indexed: 12/29/2022]
Abstract
CONTEXT High-density lipoproteins (HDL) may be protective against type 2 diabetes (T2D) development, but HDL particles vary in size and function, which could lead to differential associations with incident T2D. A newly developed nuclear magnetic resonance (NMR)-derived algorithm provides concentrations for 7 HDL subspecies. OBJECTIVE We aimed to investigate the association of HDL particle subspecies with incident T2D in the general population. METHODS Among 4828 subjects of the Prevention of Renal and Vascular End-Stage Disease (PREVEND) study without T2D at baseline, HDL subspecies with increasing size from H1P to H7P were measured by NMR (LP4 algorithm of the Vantera NMR platform). RESULTS A total of 265 individuals developed T2D (median follow-up of 7.3 years). In Cox regression models, HDL size and H4P (hazard ratio [HR] per 1 SD increase 0.83 [95% CI, 0.69-0.99] and 0.85 [95% CI, 0.75-0.95], respectively) were inversely associated with incident T2D, after adjustment for relevant covariates. In contrast, levels of H2P were positively associated with incident T2D (HR 1.15 [95% CI, 1.01-1.32]). In secondary analyses, associations with large HDL particles and H6P were modified by body mass index (BMI) in such a way that they were particularly associated with a lower risk of incident T2D, in subjects with BMI < 30 kg/m2. CONCLUSION Greater HDL size and lower levels of H4P were associated with a lower risk, whereas higher levels of H2P were associated with a higher risk of developing T2D. In addition, large HDL particles and H6P were inversely associated with T2D in nonobese subjects.
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Affiliation(s)
- Sara Sokooti
- Department of Internal Medicine, University Medical Center Groningen, University of Groningen, 9713 GZ Groningen, the Netherlands
- Correspondence: Sara Sokooti Oskooei, MD, Department of Internal Medicine, University Medical Center Groningen, Hanzeplein 1, PO Box 30.001, 9713 GZ Groningen, Netherlands.
| | - Jose L Flores-Guerrero
- Department of Internal Medicine, University Medical Center Groningen, University of Groningen, 9713 GZ Groningen, the Netherlands
| | - Lyanne M Kieneker
- Department of Internal Medicine, University Medical Center Groningen, University of Groningen, 9713 GZ Groningen, the Netherlands
| | - Hiddo J L Heerspink
- Department of Clinical Pharmacy and Pharmacology, University Medical Center Groningen, University of Groningen, 9713 GZ Groningen, the Netherlands
| | - Margery A Connelly
- Laboratory Corporation of America® Holdings (LabCorp), Morrisville, NC, USA
| | - Stephan J L Bakker
- Department of Internal Medicine, University Medical Center Groningen, University of Groningen, 9713 GZ Groningen, the Netherlands
| | - Robin P F Dullaart
- Department of Internal Medicine, University Medical Center Groningen, University of Groningen, 9713 GZ Groningen, the Netherlands
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Varga TV, Liu J, Goldberg RB, Chen G, Dagogo-Jack S, Lorenzo C, Mather KJ, Pi-Sunyer X, Brunak S, Temprosa M. Predictive utilities of lipid traits, lipoprotein subfractions and other risk factors for incident diabetes: a machine learning approach in the Diabetes Prevention Program. BMJ Open Diabetes Res Care 2021; 9:9/1/e001953. [PMID: 33789908 PMCID: PMC8016090 DOI: 10.1136/bmjdrc-2020-001953] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/19/2020] [Revised: 02/18/2021] [Accepted: 02/25/2021] [Indexed: 01/21/2023] Open
Abstract
INTRODUCTION Although various lipid and non-lipid analytes measured by nuclear magnetic resonance (NMR) spectroscopy have been associated with type 2 diabetes, a structured comparison of the ability of NMR-derived biomarkers and standard lipids to predict individual diabetes risk has not been undertaken in larger studies nor among individuals at high risk of diabetes. RESEARCH DESIGN AND METHODS Cumulative discriminative utilities of various groups of biomarkers including NMR lipoproteins, related non-lipid biomarkers, standard lipids, and demographic and glycemic traits were compared for short-term (3.2 years) and long-term (15 years) diabetes development in the Diabetes Prevention Program, a multiethnic, placebo-controlled, randomized controlled trial of individuals with pre-diabetes in the USA (N=2590). Logistic regression, Cox proportional hazards model and six different hyperparameter-tuned machine learning algorithms were compared. The Matthews Correlation Coefficient (MCC) was used as the primary measure of discriminative utility. RESULTS Models with baseline NMR analytes and their changes did not improve the discriminative utility of simpler models including standard lipids or demographic and glycemic traits. Across all algorithms, models with baseline 2-hour glucose performed the best (max MCC=0.36). Sophisticated machine learning algorithms performed similarly to logistic regression in this study. CONCLUSIONS NMR lipoproteins and related non-lipid biomarkers were associated but did not augment discrimination of diabetes risk beyond traditional diabetes risk factors except for 2-hour glucose. Machine learning algorithms provided no meaningful improvement for discrimination compared with logistic regression, which suggests a lack of influential latent interactions among the analytes assessed in this study. TRIAL REGISTRATION NUMBER Diabetes Prevention Program: NCT00004992; Diabetes Prevention Program Outcomes Study: NCT00038727.
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Affiliation(s)
- Tibor V Varga
- Section of Epidemiology, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
- Novo Nordisk Foundation Center for Protein Research, Translational Disease Systems Biology Group, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Department of Clinical Sciences, Genetic and Molecular Epidemiology Unit, Lund University, Skåne University Hospital Malmö, Malmö, Sweden
| | - Jinxi Liu
- Biostatistics Center and Department of Biostatistics and Bioinformatics, Milken Institute School of Public Health, George Washington University, Rockville, Maryland, USA
| | | | - Guannan Chen
- Biostatistics Center and Department of Biostatistics and Bioinformatics, Milken Institute School of Public Health, George Washington University, Rockville, Maryland, USA
| | | | - Carlos Lorenzo
- The University of Texas Health Science Center at San Antonio, San Antonio, Texas, USA
| | - Kieren J Mather
- Indiana University School of Medicine, Indianapolis, Indiana, USA
| | - Xavier Pi-Sunyer
- Columbia University Medical Center, New York City, New York, USA
| | - Søren Brunak
- Novo Nordisk Foundation Center for Protein Research, Translational Disease Systems Biology Group, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Marinella Temprosa
- Biostatistics Center and Department of Biostatistics and Bioinformatics, Milken Institute School of Public Health, George Washington University, Rockville, Maryland, USA
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29
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Tranæs K, Ding C, Chooi YC, Chan Z, Choo J, Leow MKS, Magkos F. Dissociation Between Insulin Resistance and Abnormalities in Lipoprotein Particle Concentrations and Sizes in Normal-Weight Chinese Adults. Front Nutr 2021; 8:651199. [PMID: 33718425 PMCID: PMC7952320 DOI: 10.3389/fnut.2021.651199] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2021] [Accepted: 02/09/2021] [Indexed: 11/25/2022] Open
Abstract
Insulin resistance in obesity coincides with abnormalities in lipid profile and lipoprotein subclass distribution and size even before abnormalities in glucose homeostasis manifest. We aimed to assess this relationship in the absence of obesity. Insulin sensitivity (3-h intravenous glucose tolerance test and minimal modeling) and lipoprotein particle concentrations and sizes (proton nuclear magnetic resonance spectroscopy) were evaluated in 15 insulin-resistant and 15 insulin-sensitive lean Asians of Chinese descent with normal glucose tolerance, matched on age, sex, and body mass index. Despite a ~50% lower insulin sensitivity index (Si) in insulin-resistant than in insulin-sensitive subjects, which was accompanied by significantly greater acute insulin response to glucose (AIRg) and fasting insulin concentration but not different fasting glucose concentration, there were no significant differences between groups in the blood lipid profile (p ≥ 0.44) or the lipoprotein subclass concentrations (p ≥ 0.30) and particle sizes (p ≥ 0.43). We conclude that, contrary to observations in subjects with obesity, insulin resistance is not accompanied by unfavorable changes in the plasma lipid profile and lipoprotein particle concentrations and sizes in lean Asians with normal glucose tolerance. Therefore, insulin resistance at the level of glucose metabolism is mechanistically or temporally dissociated from lipid and lipoprotein metabolism. Trial Registration:clinicaltrials.gov, NCT03264001.
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Affiliation(s)
- Kaare Tranæs
- Section for Obesity Research, Department of Nutrition, Exercise and Sports, University of Copenhagen, Frederiksberg, Denmark
| | - Cherlyn Ding
- Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (ASTAR) and National University Health System, Singapore, Singapore
| | - Yu Chung Chooi
- Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (ASTAR) and National University Health System, Singapore, Singapore
| | - Zhiling Chan
- Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (ASTAR) and National University Health System, Singapore, Singapore
| | - John Choo
- Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (ASTAR) and National University Health System, Singapore, Singapore
| | - Melvin K-S Leow
- Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (ASTAR) and National University Health System, Singapore, Singapore.,Department of Endocrinology, Tan Tock Seng Hospital, Singapore, Singapore.,Cardiovascular and Metabolic Disorders Program, Duke-NUS Medical School, Singapore, Singapore.,Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore
| | - Faidon Magkos
- Section for Obesity Research, Department of Nutrition, Exercise and Sports, University of Copenhagen, Frederiksberg, Denmark.,Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (ASTAR) and National University Health System, Singapore, Singapore
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30
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Norwitz NG, Loh V. A Standard Lipid Panel Is Insufficient for the Care of a Patient on a High-Fat, Low-Carbohydrate Ketogenic Diet. Front Med (Lausanne) 2020; 7:97. [PMID: 32351962 PMCID: PMC7174731 DOI: 10.3389/fmed.2020.00097] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2020] [Accepted: 03/04/2020] [Indexed: 11/13/2022] Open
Abstract
High-fat, low-carbohydrate ketogenic diets have recently become popular for weight loss and the treatment of numerous chronic diseases; however, the general medical community still expresses concern regarding the impact of high-fat diets on serum lipids and cardiovascular risk. Herein, we report on a young man who adopted a ketogenic diet to treat his inflammatory bowel disease. Incidentally, changes in his serum lipids that would be considered adverse by current standards were noted. A more critical analysis of his lipid profile suggests that the changes he experienced may not be dangerous and may, at least with regard to several parameters, represent improvements. This case study demonstrates how the manner in which lipid panels are often reported and reviewed can lead to misleading conclusions and highlights that, at least in the care of those on a ketogenic diet, more nuanced analyses of lipid subfractionations should be conducted in order for physicians to provide optimal care and clinical recommendations.
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Affiliation(s)
- Nicholas G Norwitz
- Department of Physiology, Anatomy and Genetics, University of Oxford, Oxford, United Kingdom.,Harvard Medical School, Boston, MA, United States
| | - Vyvyane Loh
- Transform Alliance for Health, Newton, MA, United States
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31
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Insenser M, Moncayo S, Martínez‐García MÁ, Fernández‐Durán E, Samino S, Álvarez‐Blasco F, Luque‐Ramírez M, Escobar‐Morreale HF. 2D Diffusion‐Ordered
1
H‐NMR Spectroscopy Lipidomic Profiling after Oral Single Macronutrient Loads: Influence of Obesity, Sex, and Female Androgen Excess. Mol Nutr Food Res 2020; 64:e1900928. [DOI: 10.1002/mnfr.201900928] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2019] [Revised: 01/02/2020] [Indexed: 01/29/2023]
Affiliation(s)
- María Insenser
- Diabetes, Obesity and Human Reproduction Research GroupDepartment of Endocrinology & NutritionHospital Universitario Ramón y Cajal & Universidad de Alcalá & Instituto Ramón y Cajal de Investigación Sanitaria (IRYCIS) & Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM) Madrid E‐28034 Spain
| | - Samuel Moncayo
- Diabetes, Obesity and Human Reproduction Research GroupDepartment of Endocrinology & NutritionHospital Universitario Ramón y Cajal & Universidad de Alcalá & Instituto Ramón y Cajal de Investigación Sanitaria (IRYCIS) & Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM) Madrid E‐28034 Spain
| | - M. Ángeles Martínez‐García
- Diabetes, Obesity and Human Reproduction Research GroupDepartment of Endocrinology & NutritionHospital Universitario Ramón y Cajal & Universidad de Alcalá & Instituto Ramón y Cajal de Investigación Sanitaria (IRYCIS) & Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM) Madrid E‐28034 Spain
| | - Elena Fernández‐Durán
- Diabetes, Obesity and Human Reproduction Research GroupDepartment of Endocrinology & NutritionHospital Universitario Ramón y Cajal & Universidad de Alcalá & Instituto Ramón y Cajal de Investigación Sanitaria (IRYCIS) & Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM) Madrid E‐28034 Spain
| | - Sara Samino
- Departament d'Enginyeria ElectrònicaElèctrica i AutomàticaUniversitat Rovira i Virgili Reus Tarragona E‐43007 Spain
| | - Francisco Álvarez‐Blasco
- Diabetes, Obesity and Human Reproduction Research GroupDepartment of Endocrinology & NutritionHospital Universitario Ramón y Cajal & Universidad de Alcalá & Instituto Ramón y Cajal de Investigación Sanitaria (IRYCIS) & Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM) Madrid E‐28034 Spain
| | - Manuel Luque‐Ramírez
- Diabetes, Obesity and Human Reproduction Research GroupDepartment of Endocrinology & NutritionHospital Universitario Ramón y Cajal & Universidad de Alcalá & Instituto Ramón y Cajal de Investigación Sanitaria (IRYCIS) & Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM) Madrid E‐28034 Spain
| | - Héctor F. Escobar‐Morreale
- Diabetes, Obesity and Human Reproduction Research GroupDepartment of Endocrinology & NutritionHospital Universitario Ramón y Cajal & Universidad de Alcalá & Instituto Ramón y Cajal de Investigación Sanitaria (IRYCIS) & Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM) Madrid E‐28034 Spain
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Klén R, Honka MJ, Hannukainen JC, Huovinen V, Bucci M, Latva-Rasku A, Venäläinen MS, Kalliokoski KK, Virtanen KA, Lautamäki R, Iozzo P, Elo LL, Nuutila P. Predicting Skeletal Muscle and Whole-Body Insulin Sensitivity Using NMR-Metabolomic Profiling. J Endocr Soc 2020; 4:bvaa026. [PMID: 32232183 PMCID: PMC7093091 DOI: 10.1210/jendso/bvaa026] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/14/2019] [Accepted: 03/08/2020] [Indexed: 01/22/2023] Open
Abstract
PURPOSE Abnormal lipoprotein and amino acid profiles are associated with insulin resistance and may help to identify this condition. The aim of this study was to create models estimating skeletal muscle and whole-body insulin sensitivity using fasting metabolite profiles and common clinical and laboratory measures. MATERIAL AND METHODS The cross-sectional study population included 259 subjects with normal or impaired fasting glucose or type 2 diabetes in whom skeletal muscle and whole-body insulin sensitivity (M-value) were measured during euglycemic hyperinsulinemic clamp. Muscle glucose uptake (GU) was measured directly using [18F]FDG-PET. Serum metabolites were measured using nuclear magnetic resonance (NMR) spectroscopy. We used linear regression to build the models for the muscle GU (Muscle-insulin sensitivity index [ISI]) and M-value (whole-body [WB]-ISI). The models were created and tested using randomly selected training (n = 173) and test groups (n = 86). The models were compared to common fasting indices of insulin sensitivity, homeostatic model assessment-insulin resistance (HOMA-IR) and the revised quantitative insulin sensitivity check index (QUICKI). RESULTS WB-ISI had higher correlation with actual M-value than HOMA-IR or revised QUICKI (ρ = 0.83 vs -0.67 and 0.66; P < 0.05 for both comparisons), whereas the correlation of Muscle-ISI with the actual skeletal muscle GU was not significantly stronger than HOMA-IR's or revised QUICKI's (ρ = 0.67 vs -0.58 and 0.59; both nonsignificant) in the test dataset. CONCLUSION Muscle-ISI and WB-ISI based on NMR-metabolomics and common laboratory measurements from fasting serum samples and basic anthropometrics are promising rapid and inexpensive tools for determining insulin sensitivity in at-risk individuals.
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Affiliation(s)
- Riku Klén
- Turku Bioscience, University of Turku and Åbo Akademi University, Turku, Finland
- Turku PET Centre, University of Turku, Turku, Finland
| | | | | | - Ville Huovinen
- Turku PET Centre, University of Turku, Turku, Finland
- Department of Radiology, Turku University Hospital, Turku, Finland
- Department of Radiology, University of Turku, Turku, Finland
| | - Marco Bucci
- Turku PET Centre, University of Turku, Turku, Finland
- Turku PET Centre, Åbo Akademi University, Turku, Finland
| | | | - Mikko S Venäläinen
- Turku Bioscience, University of Turku and Åbo Akademi University, Turku, Finland
| | | | - Kirsi A Virtanen
- Turku PET Centre, University of Turku, Turku, Finland
- Institute of Public Health and Clinical Nutrition, University of Eastern Finland, 70210 Kuopio, Finland
| | - Riikka Lautamäki
- Turku PET Centre, University of Turku, Turku, Finland
- Heart Centre, Turku University Hospital, Turku, Finland
| | - Patricia Iozzo
- Institute of Clinical Physiology, National Research Council, Pisa, Italy
| | - Laura L Elo
- Turku Bioscience, University of Turku and Åbo Akademi University, Turku, Finland
| | - Pirjo Nuutila
- Turku PET Centre, University of Turku, Turku, Finland
- Department of Endocrinology, Turku University Hospital, Turku, Finland
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33
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Sokooti S, Szili-Torok T, Flores-Guerrero JL, Osté MCJ, Gomes-Neto AW, Kootstra-Ros JE, Heerspink HJ, Connelly MA, Bakker SJL, Dullaart RPF. High-Density Lipoprotein Particles and Their Relationship to Posttransplantation Diabetes Mellitus in Renal Transplant Recipients. Biomolecules 2020; 10:E481. [PMID: 32245262 PMCID: PMC7175217 DOI: 10.3390/biom10030481] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2020] [Revised: 03/11/2020] [Accepted: 03/19/2020] [Indexed: 12/12/2022] Open
Abstract
High concentrations of high-density lipoprotein (HDL) cholesterol are likely associated with a lower risk of posttransplantation diabetes mellitus (PTDM). However, HDL particles vary in size and density with yet unestablished associations with PTDM risk. The aim of our study was to determine the association between different HDL particles and development of PTDM in renal transplant recipients (RTRs). We included 351 stable outpatient adult RTRs without diabetes at baseline evaluation. HDL particle characteristics and size were measured by nuclear magnetic resonance (NMR) spectroscopy. During 5.2 (IQR, 4.1‒5.8) years of follow-up, 39 (11%) RTRs developed PTDM. In multivariable Cox regression analysis, levels of HDL cholesterol (hazard ratio [HR] 0.61, 95% confidence interval [CI] 0.40-0.94 per 1SD increase; p = 0.024) and of large HDL particles (HR 0.68, 95% CI 0.50-0.93 per log 1SD increase; p = 0.017), as well as larger HDL size (HR 0.58, 95% CI 0.36-0.93 per 1SD increase; p = 0.025) were inversely associated with PTDM development, independently of relevant covariates including, age, sex, body mass index, medication use, transplantation-specific parameters, blood pressure, triglycerides, and glucose. In conclusion, higher concentrations of HDL cholesterol and of large HDL particles and greater HDL size were associated with a lower risk of PTDM development in RTRs, independently of established risk factors for PTDM development.
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Affiliation(s)
- Sara Sokooti
- Department of Internal Medicine, University Medical Center Groningen, University of Groningen, 9713 GZ Groningen, The Netherlands; (T.S.-T.); (J.L.F.-G.); (M.C.J.O.); (A.W.G.-N.); (S.J.L.B.); (R.P.F.D.)
| | - Tamas Szili-Torok
- Department of Internal Medicine, University Medical Center Groningen, University of Groningen, 9713 GZ Groningen, The Netherlands; (T.S.-T.); (J.L.F.-G.); (M.C.J.O.); (A.W.G.-N.); (S.J.L.B.); (R.P.F.D.)
| | - Jose L. Flores-Guerrero
- Department of Internal Medicine, University Medical Center Groningen, University of Groningen, 9713 GZ Groningen, The Netherlands; (T.S.-T.); (J.L.F.-G.); (M.C.J.O.); (A.W.G.-N.); (S.J.L.B.); (R.P.F.D.)
| | - Maryse C. J. Osté
- Department of Internal Medicine, University Medical Center Groningen, University of Groningen, 9713 GZ Groningen, The Netherlands; (T.S.-T.); (J.L.F.-G.); (M.C.J.O.); (A.W.G.-N.); (S.J.L.B.); (R.P.F.D.)
| | - António W. Gomes-Neto
- Department of Internal Medicine, University Medical Center Groningen, University of Groningen, 9713 GZ Groningen, The Netherlands; (T.S.-T.); (J.L.F.-G.); (M.C.J.O.); (A.W.G.-N.); (S.J.L.B.); (R.P.F.D.)
| | - Jenny E. Kootstra-Ros
- Department of Laboratory Medicine, University Medical Center Groningen, University of Groningen, 9713 GZ Groningen, The Netherlands;
| | - Hiddo J.L. Heerspink
- Department of Clinical Pharmacy and Pharmacology, University Medical Center Groningen, University of Groningen, 9713 GZ Groningen, The Netherlands;
| | - Margery A. Connelly
- Laboratory Corporation of America® Holdings (LabCorp), Morrisville, NC 27560, USA;
| | - Stephan J. L. Bakker
- Department of Internal Medicine, University Medical Center Groningen, University of Groningen, 9713 GZ Groningen, The Netherlands; (T.S.-T.); (J.L.F.-G.); (M.C.J.O.); (A.W.G.-N.); (S.J.L.B.); (R.P.F.D.)
| | - Robin P. F. Dullaart
- Department of Internal Medicine, University Medical Center Groningen, University of Groningen, 9713 GZ Groningen, The Netherlands; (T.S.-T.); (J.L.F.-G.); (M.C.J.O.); (A.W.G.-N.); (S.J.L.B.); (R.P.F.D.)
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Association of an HDL Apolipoproteomic Score With Coronary Atherosclerosis and Cardiovascular Death. J Am Coll Cardiol 2020; 73:2135-2145. [PMID: 31047001 DOI: 10.1016/j.jacc.2019.01.073] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/29/2018] [Revised: 01/13/2019] [Accepted: 01/22/2019] [Indexed: 01/18/2023]
Abstract
BACKGROUND Concentrations of circulating apolipoproteins are strongly linked to risk for coronary artery disease (CAD). The relative importance of the additional knowledge of apolipoprotein concentrations within specific lipoprotein species for CAD risk prediction is limited. OBJECTIVES This study sought to evaluate the performance of a high-density lipoprotein (HDL) apolipoproteomic score, based on targeted mass spectrometry of HDL-associated apolipoproteins, for the detection of angiographic CAD and outcomes. METHODS HDL-associated apolipoprotein (apo) A-1, apoC-1, apoC-2, apoC-3, and apoC-4 were measured in 943 participants without prevalent myocardial infarction (MI) referred for coronary angiography in the CASABLANCA (Catheter Sampled Blood Archive in Cardiovascular Diseases) study. A composite HDL apolipoproteomic score (pCAD) was associated with likelihood of obstructive CAD (≥70% lesion in ≥1 vessel) and with incident cardiovascular outcomes over 4-year follow-up. RESULTS There were 587 (62.2%) patients with coronary stenosis. The pCAD score was associated with the presence of obstructive CAD (odds ratio: 1.39; 95% confidence interval [CI]: 1.14 to 1.69; p < 0.001), independently of conventional cardiovascular risk factors including circulating plasma apoA-1 and apoB. The C-index for pCAD was 0.63 (95% CI: 0.59 to 0.67) for the presence of obstructive CAD. Although pCAD was not associated with cardiovascular mortality among all individuals (hazard ratio: 1.24; 95% CI: 0.93 to 1.66; p = 0.15), there was evidence of association for individuals with obstructive CAD (hazard ratio: 1.48; 95% CI: 1.07 to 2.05; p = 0.019). CONCLUSIONS An HDL apolipoproteomic score is associated with the presence of CAD, independent of circulating apoA-1 and apoB concentrations and other conventional cardiovascular risk factors. Among individuals with CAD, this score may be independently associated cardiovascular death. (The CASABLANCA Study: Catheter Sampled Blood Archive in Cardiovascular Diseases [CASABLANCA]; NCT00842868).
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Garcia E, Shalaurova I, Matyus SP, Oskardmay DN, Otvos JD, Dullaart RP, Connelly MA. Ketone Bodies Are Mildly Elevated in Subjects with Type 2 Diabetes Mellitus and Are Inversely Associated with Insulin Resistance as Measured by the Lipoprotein Insulin Resistance Index. J Clin Med 2020; 9:jcm9020321. [PMID: 31979327 PMCID: PMC7074331 DOI: 10.3390/jcm9020321] [Citation(s) in RCA: 34] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2019] [Revised: 01/09/2020] [Accepted: 01/21/2020] [Indexed: 02/06/2023] Open
Abstract
Background: Quantifying mildly elevated ketone bodies is clinically and pathophysiologically relevant, especially in the context of disease states as well as for monitoring of various diets and exercise regimens. As an alternative assay for measuring ketone bodies in the clinical laboratory, a nuclear magnetic resonance (NMR) spectroscopy-based test was developed for quantification of β-hydroxybutyrate (β-HB), acetoacetate (AcAc) and acetone. Methods: The ketone body assay was evaluated for precision, linearity and stability and method comparisons were performed. In addition, plasma ketone bodies were measured in the Insulin Resistance Atherosclerosis Study (IRAS, n = 1198; 373 type 2 diabetes mellitus (T2DM) subjects). Results: β-HB and AcAc quantified using NMR and mass spectrometry and acetone quantified using NMR and gas chromatography/mass spectrometry were highly correlated (R2 = 0.996, 0.994, and 0.994 for β-HB, AcAc, acetone, respectively). Coefficients of variation (%CVs) for intra- and inter-assay precision ranged from 1.3% to 9.3%, 3.1% to 7.7%, and 3.8% to 9.1%, for β-HB, AcAc and acetone, respectively. In the IRAS, ketone bodies were elevated in subjects with T2DM versus non-diabetic individuals (p = 0.011 to ≤0.001). Age- and sex-adjusted multivariable linear regression analysis revealed that total ketone bodies and β-HB were associated directly with free fatty acids (FFAs) and T2DM and inversely with triglycerides and insulin resistance as measured by the Lipoprotein Insulin Resistance Index. Conclusions: Concentrations of the three main ketone bodies can be determined by NMR with good clinical performance, are elevated in T2DM and are inversely associated with triglycerides and insulin resistance.
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Affiliation(s)
- Erwin Garcia
- Laboratory Corporation of America Holdings (LabCorp), Morrisville, NC 27560, USA; (I.S.); (S.P.M.); (D.N.O.); (J.D.O.); (M.A.C.)
- Correspondence: ; Tel.: +1-(919)-388-5551
| | - Irina Shalaurova
- Laboratory Corporation of America Holdings (LabCorp), Morrisville, NC 27560, USA; (I.S.); (S.P.M.); (D.N.O.); (J.D.O.); (M.A.C.)
| | - Steven P. Matyus
- Laboratory Corporation of America Holdings (LabCorp), Morrisville, NC 27560, USA; (I.S.); (S.P.M.); (D.N.O.); (J.D.O.); (M.A.C.)
| | - David N. Oskardmay
- Laboratory Corporation of America Holdings (LabCorp), Morrisville, NC 27560, USA; (I.S.); (S.P.M.); (D.N.O.); (J.D.O.); (M.A.C.)
| | - James D. Otvos
- Laboratory Corporation of America Holdings (LabCorp), Morrisville, NC 27560, USA; (I.S.); (S.P.M.); (D.N.O.); (J.D.O.); (M.A.C.)
| | - Robin P.F. Dullaart
- Department of Endocrinology, University of Groningen and University Medical Center Groningen, 9700 RB Groningen, The Netherlands;
| | - Margery A. Connelly
- Laboratory Corporation of America Holdings (LabCorp), Morrisville, NC 27560, USA; (I.S.); (S.P.M.); (D.N.O.); (J.D.O.); (M.A.C.)
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Ahmad S, Mora S, Ridker PM, Hu FB, Chasman DI. Gene-Based Elevated Triglycerides and Type 2 Diabetes Mellitus Risk in the Women's Genome Health Study. Arterioscler Thromb Vasc Biol 2019; 39:97-106. [PMID: 30565958 DOI: 10.1161/atvbaha.118.311562] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
Objective- Higher triglyceride (TG) is a risk factor for incident type 2 diabetes mellitus (T2DM), but paradoxically, genetic susceptibility for higher TG has been associated with lower T2DM risk. There is also evidence that the genetic association may be modified by baseline TG. Whether such associations can be replicated and the interaction is selective for certain TG-rich lipoprotein particles remains to be explored. Approach and Results- Cox regression involving TG, TG-rich lipoprotein particles, and genetic determinants of TG was performed among 15 813 participants with baseline fasting status in the WGHS (Women's Genome Health Study), including 1453 T2DM incident cases during a mean 18.6 (SD=5.3) years of follow-up. A weighted, 40-single-nucleotide polymorphism TG genetic risk score was inversely associated with incident T2DM (hazard ratio [95% CI], 0.66 [0.58-0.75]/10-TG risk alleles; P<0.0001) with adjustment for baseline body mass index, HDL (high-density lipoprotein) cholesterol, and TG. TG-associated risk was higher among individuals in the low compared with the high 40-single-nucleotide polymorphism TG genetic risk score tertile (hazard ratio [95% CI], 1.98 [1.83-2.14] versus 1.68 [1.58-1.80] per mmol/L; Pinteraction=0.0007). In TG-adjusted analysis, large and medium but not small TG-rich lipoprotein particles were associated with higher T2DM incidence for successively lower 40-single-nucleotide polymorphism TG genetic risk score tertiles, Pinteraction=0.013, 0.012, and 0.620 across tertiles, respectively. Conclusions- Our results confirm the previous observations of the paradoxical associations of TG with T2DM while focusing attention on the larger TG-rich lipoprotein particle subfractions, suggesting their importance in clinical profiling of T2DM risk.
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Affiliation(s)
- Shafqat Ahmad
- From the Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA (S.A., F.B.H.).,Division of Preventive Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA (S.A., S.M., P.M.R., D.I.C.).,Department of Medical Sciences, Molecular Epidemiology, Uppsala University, Sweden (S.A.)
| | - Samia Mora
- Division of Preventive Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA (S.A., S.M., P.M.R., D.I.C.).,Cardiovascular Division, Brigham and Women's Hospital, Harvard Medical School, Boston, MA (S.M., P.M.R.).,Center for Lipid Metabolomics, Harvard Medical School, Brigham and Women's Hospital, Harvard Medical School, Boston, MA (S.M., P.M.R.)
| | - Paul M Ridker
- Division of Preventive Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA (S.A., S.M., P.M.R., D.I.C.).,Cardiovascular Division, Brigham and Women's Hospital, Harvard Medical School, Boston, MA (S.M., P.M.R.).,Center for Lipid Metabolomics, Harvard Medical School, Brigham and Women's Hospital, Harvard Medical School, Boston, MA (S.M., P.M.R.)
| | - Frank B Hu
- From the Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA (S.A., F.B.H.).,Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA (F.B.H.)
| | - Daniel I Chasman
- Division of Preventive Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA (S.A., S.M., P.M.R., D.I.C.)
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Wang X, Nijman R, Camuzeaux S, Sands C, Jackson H, Kaforou M, Emonts M, Herberg JA, Maconochie I, Carrol ED, Paulus SC, Zenz W, Van der Flier M, de Groot R, Martinon-Torres F, Schlapbach LJ, Pollard AJ, Fink C, Kuijpers TT, Anderson S, Lewis MR, Levin M, McClure M. Plasma lipid profiles discriminate bacterial from viral infection in febrile children. Sci Rep 2019; 9:17714. [PMID: 31776453 PMCID: PMC6881435 DOI: 10.1038/s41598-019-53721-1] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2019] [Accepted: 11/03/2019] [Indexed: 11/16/2022] Open
Abstract
Fever is the most common reason that children present to Emergency Departments. Clinical signs and symptoms suggestive of bacterial infection are often non-specific, and there is no definitive test for the accurate diagnosis of infection. The 'omics' approaches to identifying biomarkers from the host-response to bacterial infection are promising. In this study, lipidomic analysis was carried out with plasma samples obtained from febrile children with confirmed bacterial infection (n = 20) and confirmed viral infection (n = 20). We show for the first time that bacterial and viral infection produces distinct profile in the host lipidome. Some species of glycerophosphoinositol, sphingomyelin, lysophosphatidylcholine and cholesterol sulfate were higher in the confirmed virus infected group, while some species of fatty acids, glycerophosphocholine, glycerophosphoserine, lactosylceramide and bilirubin were lower in the confirmed virus infected group when compared with confirmed bacterial infected group. A combination of three lipids achieved an area under the receiver operating characteristic (ROC) curve of 0.911 (95% CI 0.81 to 0.98). This pilot study demonstrates the potential of metabolic biomarkers to assist clinicians in distinguishing bacterial from viral infection in febrile children, to facilitate effective clinical management and to the limit inappropriate use of antibiotics.
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Affiliation(s)
- Xinzhu Wang
- Department of Infectious Disease, Imperial College London, London, W2 1PG, United Kingdom
| | - Ruud Nijman
- Department of Infectious Disease, Imperial College London, London, W2 1PG, United Kingdom
| | - Stephane Camuzeaux
- National Phenome Centre and Imperial Clinical Phenotyping Centre, Department of Metabolism, Digestion and Reproduction, IRDB Building, Du Cane Road, Imperial College London, London, W12 0NN, United Kingdom
| | - Caroline Sands
- National Phenome Centre and Imperial Clinical Phenotyping Centre, Department of Metabolism, Digestion and Reproduction, IRDB Building, Du Cane Road, Imperial College London, London, W12 0NN, United Kingdom
| | - Heather Jackson
- Department of Infectious Disease, Imperial College London, London, W2 1PG, United Kingdom
| | - Myrsini Kaforou
- Department of Infectious Disease, Imperial College London, London, W2 1PG, United Kingdom
| | - Marieke Emonts
- Great North Children's Hospital, Paediatric Immunology, Infectious Diseases & Allergy, Newcastle upon Tyne Hospitals NHS Foundation Trust, Newcastle upon Tyne, NE1 4LP, United Kingdom
- Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, NE2 4HH, United Kingdom
- NIHR Newcastle Biomedical Research Centre based at Newcastle upon Tyne Hospitals NHS Trust and Newcastle University, Newcastle upon Tyne, NE4 5PL, United Kingdom
| | - Jethro A Herberg
- Department of Infectious Disease, Imperial College London, London, W2 1PG, United Kingdom
| | - Ian Maconochie
- Department of Paediatric Emergency Medicine, St Mary's Hospital, Imperial College NHS Healthcare Trust, London, W2 1NY, United Kingdom
| | - Enitan D Carrol
- Institute of Infection and Global Health, University of Liverpool, Liverpool, L69 7BE, United Kingdom
- Department of Infectious Diseases, Alder Hey Children's NHS Foundation Trust, Liverpool, L12 2AP, United Kingdom
- Liverpool Health Partners, Liverpool, L3 5TF, United Kingdom
| | - Stephane C Paulus
- Department of Infectious Diseases, Alder Hey Children's NHS Foundation Trust, Liverpool, L12 2AP, United Kingdom
- Liverpool Health Partners, Liverpool, L3 5TF, United Kingdom
| | - Werner Zenz
- Department of General Paediatrics, Medical University of Graz, Graz, Auenbruggerplatz 34/2, 8036, Graz, Austria
| | - Michiel Van der Flier
- Pediatric Infectious Diseases and Immunology, Wilhelmina Children's Hospital, University Medical Center Utrecht, Utrecht, 3508 AB, The Netherlands
- Pediatric Infectious Diseases and Immunology, Amalia Children's Hospital, and Section Pediatric Infectious Diseases, Laboratory of Medical Immunology, Department of Laboratory Medicine, Radboud Institute for Molecular Life Sciences, Radboud University Medical Center, Nijmegen, 6500 HB, The Netherlands
| | - Ronald de Groot
- Pediatric Infectious Diseases and Immunology, Amalia Children's Hospital, and Section Pediatric Infectious Diseases, Laboratory of Medical Immunology, Department of Laboratory Medicine, Radboud Institute for Molecular Life Sciences, Radboud University Medical Center, Nijmegen, 6500 HB, The Netherlands
| | - Federico Martinon-Torres
- Genetic, Vaccines and Pediatric Infectious Diseases Research Group (GENVIP), Instituto de Investigación Sanitaria de Santiago and Universidad de Santiago de Compostela (USC), Galicia, Spain
- Translational Pediatrics and Infectious Diseases, Department of Pediatrics, Hospital Clínico Universitario de Santiago de Compostela, Galicia, 15706, Spain
| | - Luregn J Schlapbach
- Paediatirc Criticial Care Research Group, Child Health Research Centre, The University of Queensland and Paediatric Intensive Care Research Group, Queensland Children's Hospital, Brisbane, Australia
| | - Andrew J Pollard
- Department of Paediatrics, University of Oxford and the NIHR Oxford Biomedical Research Centre, Oxford, OX3 9DU, United Kingdom
| | - Colin Fink
- Micropathology Ltd, University of Warwick, Warwick, CV4 7EZ, United Kingdom
| | - Taco T Kuijpers
- Division of Pediatric Hematology, Immunology and Infectious diseases, Emma Children's Hospital Academic Medical Center, Amsterdam, 1105 AZ, The Netherlands
| | - Suzanne Anderson
- Medical Research Council Unit at the London School of Hygiene & Tropical Medicine, Banjul, The Gambia
| | - Matthew R Lewis
- National Phenome Centre and Imperial Clinical Phenotyping Centre, Department of Metabolism, Digestion and Reproduction, IRDB Building, Du Cane Road, Imperial College London, London, W12 0NN, United Kingdom
| | - Michael Levin
- Department of Infectious Disease, Imperial College London, London, W2 1PG, United Kingdom
| | - Myra McClure
- Department of Infectious Disease, Imperial College London, London, W2 1PG, United Kingdom.
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High-density lipoprotein cholesterol efflux capacity is not associated with atherosclerosis and prevalence of cardiovascular outcome: The CODAM study. J Clin Lipidol 2019; 14:122-132.e4. [PMID: 31791716 DOI: 10.1016/j.jacl.2019.10.012] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2019] [Revised: 10/19/2019] [Accepted: 10/23/2019] [Indexed: 12/26/2022]
Abstract
BACKGROUND Cholesterol Efflux Capacity (CEC) is considered to be a key atheroprotective property of high-density lipoproteins (HDL). However, the role of HDL-CEC in atherosclerosis and cardiovascular (CV) risk is still controversial, and data in individuals with diabetes are limited. OBJECTIVE In this study, we have investigated the relationship of CEC and other HDL characteristics with clinical and subclinical atherosclerosis in subjects with elevated cardiovascular diseases (CVD) risk and Type 2 Diabetes Mellitus (T2DM). METHODS Using multiple linear regression analyses, we determined the relationship of HDL-CEC with carotid intima-media thickness (cIMT, Z-Score), an endothelial dysfunction (EnD) Score (Z-Score), prevalent CVD (n = 150 cases) and history of CV events (CVE, n = 85 cases) in an observational cohort (CODAM, n = 574, 59.6 ± 0.3 yr, 61.3% men, 24.4% T2DM). Stratified analyses were performed to determine if the associations differed between individuals with normal glucose metabolism (NGM) and those with disturbed glucose metabolism. RESULTS HDL-CEC was not associated with either marker of atherosclerosis (cIMT, EnD Score) nor with CVD or CVE. In contrast, other HDL characteristics that is, HDL-Cholesterol (HDL-C, Z-Score), apolipoprotein A-I (apoA-I, Z-Score), HDL size (Z-Score) and HDL particle number (HDL-P, Z-Score) were inversely and significantly associated with the EnD Score (s -0.226 to -0.097, P < .05) and CVE (ORs 0.61 to 0.68, P < .05). In stratified analyses, HDL size and HDL-P were significantly associated with the EnD Score in individuals with NGM (Pinteraction .039 and .005, respectively), but not in those with (pre)diabetes. HDL-C and apoA-I were inversely associated with prevalent CVD in individuals with (pre)diabetes (Pinteraction = .074 and .034, respectively), but not in those with NGM. CONCLUSION HDL-CEC is not associated with clinical or subclinical atherosclerosis, neither in the whole population nor in individuals with (pre)diabetes, while other HDL characteristics show atheroprotective associations. The atheroprotective associations of HDL-size and HDL-P are lost in (pre)diabetes, while higher concentrations of HDL-C and apoA-I are associated with a lower prevalence of CVD in (pre)diabetes.
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Aday AW, Lawler PR, Cook NR, Ridker PM, Mora S, Pradhan AD. Lipoprotein Particle Profiles, Standard Lipids, and Peripheral Artery Disease Incidence. Circulation 2019; 138:2330-2341. [PMID: 30021845 DOI: 10.1161/circulationaha.118.035432] [Citation(s) in RCA: 85] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
BACKGROUND Despite strong and consistent prospective associations of elevated low-density lipoprotein (LDL) cholesterol concentration with incident coronary and cerebrovascular disease, data for incident peripheral artery disease (PAD) are less robust. Atherogenic dyslipidemia characterized by increased small LDL particle (LDL-P) concentration, rather than total LDL cholesterol content, along with elevated triglyceride-rich lipoproteins and low high-density lipoprotein (HDL) cholesterol (HDL-C), may be the primary lipid driver of PAD risk. METHODS The study population was a prospective cohort study of 27 888 women ≥45 years old free of cardiovascular disease at baseline and followed for a median of 15.1 years. We tested whether standard lipid concentrations, as well as nuclear magnetic resonance spectroscopy-derived lipoprotein measures, were associated with incident symptomatic PAD (n=110) defined as claudication and/or revascularization. RESULTS In age-adjusted analyses, while LDL cholesterol was not associated with incident PAD, we found significant associations for increased total and small LDL-P concentrations, triglycerides, and concentrations of very LDL (VLDL) particle (VLDL-P) subclasses, increased total cholesterol (TC):HDL-C, low HDL-C, and low HDL particle (HDL-P) concentration (all P for extreme tertile comparisons <0.05). Findings persisted in multivariable-adjusted models comparing extreme tertiles for elevated total LDL-P (adjusted hazard ratio [HRadj] 2.03; 95% CI, 1.14-3.59), small LDL-P (HRadj 2.17; 95% CI, 1.10-4.27), very large VLDL-P (HRadj 1.68; 95% CI, 1.06-2.66), medium VLDL-P (HRadj 1.98; 95% CI, 1.15-3.41), and TC:HDL-C (HRadj, 3.11; 95% CI, 1.67-5.81). HDL was inversely associated with risk; HRadj for extreme tertiles of HDL-C and HDL-P concentration were 0.30 ( P trend < 0.0001) and 0.29 ( P trend < 0.0001), respectively. These components of atherogenic dyslipidemia, including small LDL-P, medium and very large VLDL-P, TC:HDL-C, HDL-C, and HDL-P, were more strongly associated with incident PAD than incident coronary and cerebrovascular disease. Finally, the addition of LDL-P and HDL-P concentration to TC:HDL-C measures identified women at heightened PAD risk. CONCLUSIONS In this prospective study, nuclear magnetic resonance-derived measures of LDL-P, but not LDL cholesterol, were associated with incident PAD. Other features of atherogenic dyslipidemia, including elevations in TC:HDL-C, elevations in triglyceride-rich lipoproteins, and low standard and nuclear magnetic resonance-derived measures of HDL, were significant risk determinants. These data help clarify prior inconsistencies and may elucidate a unique lipoprotein signature for PAD compared to coronary and cerebrovascular disease. CLINICAL TRIAL REGISTRATION URL: https://www.clinicaltrials.gov/ . Unique Identifier: NCT00000479.
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Affiliation(s)
- Aaron W Aday
- Division of Preventive Medicine (A.W.A., N.R.C., P.M.R., S.M., A.D.P.), Brigham and Women's Hospital, Harvard Medical School, Boston, MA.,Division of Cardiovascular Medicine (A.W.A., P.M.R., S.M.), Brigham and Women's Hospital, Harvard Medical School, Boston, MA.,Dr Aday's current affiliation is Vanderbilt Translational and Clinical Cardiovascular Research Center, Division of Cardiovascular Medicine, Vanderbilt University Medical Center, Nashville, TN
| | - Patrick R Lawler
- Peter Munk Cardiac Centre, University Health Network and the Heart and Stroke Richard Lewar Centre of Excellence in Cardiovascular Research, University of Toronto, Canada (P.R.L.)
| | - Nancy R Cook
- Division of Preventive Medicine (A.W.A., N.R.C., P.M.R., S.M., A.D.P.), Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | - Paul M Ridker
- Division of Preventive Medicine (A.W.A., N.R.C., P.M.R., S.M., A.D.P.), Brigham and Women's Hospital, Harvard Medical School, Boston, MA.,Division of Cardiovascular Medicine (A.W.A., P.M.R., S.M.), Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | - Samia Mora
- Division of Preventive Medicine (A.W.A., N.R.C., P.M.R., S.M., A.D.P.), Brigham and Women's Hospital, Harvard Medical School, Boston, MA.,Division of Cardiovascular Medicine (A.W.A., P.M.R., S.M.), Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | - Aruna D Pradhan
- Division of Preventive Medicine (A.W.A., N.R.C., P.M.R., S.M., A.D.P.), Brigham and Women's Hospital, Harvard Medical School, Boston, MA.,Division of Cardiovascular Medicine, VA Boston Medical Center, MA (A.D.P.)
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40
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Kim MJ, Kim JH, Kim MS, Yang HJ, Lee M, Kwon DY. Metabolomics Associated with Genome-Wide Association Study Related to the Basal Metabolic Rate in Overweight/Obese Korean Women. J Med Food 2019; 22:499-507. [DOI: 10.1089/jmf.2018.4310] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022] Open
Affiliation(s)
- Min Jung Kim
- Research Division of Food Functionality, Korea Food Research Institute, Wanju-gun, Korea
| | - Jin Hee Kim
- Research Division of Food Functionality, Korea Food Research Institute, Wanju-gun, Korea
| | - Myung-Sunny Kim
- Research Division of Food Functionality, Korea Food Research Institute, Wanju-gun, Korea
| | - Hye Jeong Yang
- Research Division of Food Functionality, Korea Food Research Institute, Wanju-gun, Korea
| | - Myoungsook Lee
- Department of Food and Nutrition, Sungshin Women's University, Seoul, Korea
| | - Dae Young Kwon
- Research Division of Food Functionality, Korea Food Research Institute, Wanju-gun, Korea
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41
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Zhang X, van den Munckhof ICL, Rutten JHW, Netea MG, Groen AK, Zwinderman AH. Association of hemoglobin A1C with circulating metabolites in Dutch with European, African Surinamese and Ghanaian background. Nutr Diabetes 2019; 9:15. [PMID: 31040268 PMCID: PMC6491479 DOI: 10.1038/s41387-019-0082-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/09/2019] [Revised: 03/28/2019] [Accepted: 04/11/2019] [Indexed: 11/18/2022] Open
Abstract
BACKGROUND The prevalence of type 2 diabetes mellitus (T2DM) varies significantly across ethnic groups. A better understanding of the mechanisms underlying the variation in different ethnic groups may help to elucidate the pathophysiology of T2DM. The present work aims to generate a hypothesis regarding "why do subjects with African background have excess burden of T2DM?". METHODS In the current study, we performed metabolite profiling of plasma samples derived from 773 subjects of three ethnic groups (Dutch with European, Ghanaian and African Surinamese background). We performed Bayesian lognormal regression analyses to assess associations between HbA1c and circulating metabolites. RESULTS Here we show that subjects with African Surinamese and Ghanaian background had similar associations of HbA1c with circulating amino acids and triglyceride-rich lipoproteins as subjects with European background. In contrast, subjects with Ghanaian and African Surinamese background had different associations of HbA1c with acetoacetate, small LDL particle and small HDL particle concentrations, compared to the subjects with European background. CONCLUSIONS On the basis of the observations, we hypothesize that the excess burden of T2DM in subjects with African background may be due to impaired cholesterol efflux capacity or abnormal cholesterol uptake.
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Affiliation(s)
- Xiang Zhang
- Department of Experimental Vascular Medicine, Amsterdam University Medical Center, University of Amsterdam, Amsterdam, The Netherlands.
| | | | - Joost H W Rutten
- Department of Internal Medicine, Radboud university medical center, Nijmegen, The Netherlands
| | - Mihai G Netea
- Department of Internal Medicine, Radboud university medical center, Nijmegen, The Netherlands
- Radboud Center for Infectious Diseases, Radboud university medical Center, Nijmegen, The Netherlands
- Department for Genomics & Immunoregulation, Life and Medical Sciences Institute (LIMES), University of Bonn, Bonn, Germany
| | - Albert K Groen
- Department of Experimental Vascular Medicine, Amsterdam University Medical Center, University of Amsterdam, Amsterdam, The Netherlands
- Department of Pediatrics, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Aeilko H Zwinderman
- Clinical Epidemiology, Biostatistics, and Bioinformatics, Amsterdam University Medical Center, University of Amsterdam, Amsterdam, The Netherlands
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Generoso G, Janovsky CCPS, Bittencourt MS. Triglycerides and triglyceride-rich lipoproteins in the development and progression of atherosclerosis. Curr Opin Endocrinol Diabetes Obes 2019; 26:109-116. [PMID: 30694827 DOI: 10.1097/med.0000000000000468] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
PURPOSE OF REVIEW In this review, we intend to show the heterogenicity of the triglyceride group, including the triglyceride-rich lipoproteins and its subparticles, apolipoproteins, and its role in atherogenesis through epidemiological and genetic studies, observing the association of these various components and subclasses with subclinical atherosclerosis and cardiovascular events. Also, we reevaluated the moment of blood collection for the triglyceride measurement and its repercussion in atherosclerosis. Finally, we present the current scenario and new insights about the pharmacologic treatment of hypertriglyceridemia. RECENT FINDINGS Recent studies have been observed, a correlation between cardiovascular disease and triglyceride components (as apolipoproteins A-V, C-I, C-III) as well as proteins involved in the metabolism pathway, such as the angiopoietin-like proteins. Also, the triglyceride-rich lipoproteins, also known as remnants, were recently associated with atherogenesis. Another important topic addressed is about nonfasting triglyceride level, which has been postulated as a better predictor of cardiovascular events than fasting collection. SUMMARY Regarding hypertriglyceridemia treatment, the drug therapy was updated, as the omega-3 polyunsaturated fatty acids were tested in primary prevention as eicosapentaenoic acid and docosahexaenoic acid combination resulted in no benefit, whereas the administration of icosapent ethyl in secondary prevention and high-risk patients showed a robust decrease of the cardiovascular outcomes.
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Affiliation(s)
- Giuliano Generoso
- Center for Clinical and Epidemiological Research, University Hospital, University of Sao Paulo
| | - Carolina C P S Janovsky
- Center for Clinical and Epidemiological Research, University Hospital, University of Sao Paulo
| | - Marcio S Bittencourt
- Center for Clinical and Epidemiological Research, University Hospital, University of Sao Paulo
- Hospital Israelita Albert Einstein & School of Medicine, Faculdade Israelita de Ciência da Saúde Albert Einstein, São Paulo, Brazil
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Abstract
PURPOSE OF REVIEW Insulin resistance (IR) is recognized to play an important role in the pathogenesis of dyslipidemia. This review summarizes the complex interplay between IR and dyslipidemia in people with and without diabetes. RECENT FINDINGS IR impacts the metabolism of triglycerides, high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C), and very low-density lipoprotein cholesterol (VLDL-C) by several mechanisms. Trials with insulin sensitizing therapies, including biguanides and thiazolidinediones, have provided inconsistent results on lipid lowering in people with and without diabetes. In this review, we focus on the pathophysiological interplay between IR and dyslipidemia and recapitulate lipid and lipoprotein data from insulin-sensitizing trials. Further research elucidating the reciprocal relationship between IR and dyslipidemia is needed to better target these important risk factors for cardiovascular disease.
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Affiliation(s)
- Petter Bjornstad
- Department of Pediatrics, Division of Endocrinology, University of Colorado School of Medicine, 13123 East 16th Ave, Box B26, Aurora, CO, 80045, USA.
- Department of Medicine, Division of Renal Diseases and Hypertension, University of Colorado School of Medicine, Aurora, CO, USA.
| | - Robert H Eckel
- Department of Medicine, Division of Endocrinology and Division of Cardiology, University of Colorado School of Medicine, Aurora, CO, USA.
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44
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Raziani F, Ebrahimi P, Engelsen SB, Astrup A, Raben A, Tholstrup T. Consumption of regular-fat vs reduced-fat cheese reveals gender-specific changes in LDL particle size - a randomized controlled trial. Nutr Metab (Lond) 2018; 15:61. [PMID: 30258469 PMCID: PMC6150982 DOI: 10.1186/s12986-018-0300-0] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2018] [Accepted: 09/05/2018] [Indexed: 11/24/2022] Open
Abstract
Background Regular-fat cheese does not seem to increase low density lipoprotein cholesterol (LDL-C) concentrations compared to reduced-fat cheese. However, plasma LDL-C concentrations do not reflect levels and size of LDL particles, which might be a better predictor of cardiovascular risk. Methods The aim was to compare the effects of regular-fat cheese vs reduced-fat cheese and carbohydrate-rich foods on LDL particle size distribution in adults with ≥ 2 metabolic syndrome (MetS) risk factors. The study was part of a 12 weeks’ randomized controlled trial in which subjects had been randomly allocated to 1 of 3 intervention groups; regular-fat cheese (REG), reduced-fat cheese (RED) or a no-cheese/carbohydrate (CHO) group. Subjects in the REG and RED groups consumed 80 g cheese/d per 10 MJ, whereas subjects in the CHO consumed bread and jam corresponding to 90 g/d and 25 g/d per 10 MJ, respectively. Fasting blood samples at wk. 0 (baseline) and wk. 12 were analyzed for LDL particle size distribution and cholesterol content using nuclear magnetic resonance (NMR) spectroscopy. Results A total of 85 subjects [mean ± SD age: 54.0 ± 12.8 y; BMI: 28.7 ± 3.6 kg/m2] completed the study. Overall, regular-fat cheese did not impact lipoprotein particle number and size differently than reduced-fat cheese. In men (n = 23), the REG diet decreased total LDL particle number (LDL-P, − 223.2 ± 91.1 nmol/l, P = 0.01) compared with the RED diet. The reduction was primarily in the medium-sized LDL fraction (− 128.5 ± 51.8 nmol/l, P = 0.01). In women (n = 62), the REG diet increased the concentration of cholesterol in the small high density lipoprotein (HDL) particles compared with the CHO diet (2.9 ± 1.0 mg/dl, P = 0.006). Conclusion Overall, regular-fat cheese did not alter LDL particle size distribution compared to reduced-fat cheese after a 12 wk. intervention in subjects with ≥2 MetS risk factors. However, our results suggest that lipoprotein response to cheese intake is gender-specific. This warrants further investigation. Trial registration This trial was registered at Clinicaltrials.gov as NCT0261471. Registered 30 November 2015 - Retrospectively registered.
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Affiliation(s)
- Farinaz Raziani
- 1Department of Nutrition, Exercise and Sports, Faculty of Science, University of Copenhagen, Rolighedsvej 26, 1958 Frederiksberg C, Denmark
| | - Parvaneh Ebrahimi
- 2Department of Food Science, Faculty of Science, University of Copenhagen, Rolighedsvej 26, 1958 Frederiksberg C, Denmark
| | - Søren Balling Engelsen
- 2Department of Food Science, Faculty of Science, University of Copenhagen, Rolighedsvej 26, 1958 Frederiksberg C, Denmark
| | - Arne Astrup
- 1Department of Nutrition, Exercise and Sports, Faculty of Science, University of Copenhagen, Rolighedsvej 26, 1958 Frederiksberg C, Denmark
| | - Anne Raben
- 1Department of Nutrition, Exercise and Sports, Faculty of Science, University of Copenhagen, Rolighedsvej 26, 1958 Frederiksberg C, Denmark
| | - Tine Tholstrup
- 1Department of Nutrition, Exercise and Sports, Faculty of Science, University of Copenhagen, Rolighedsvej 26, 1958 Frederiksberg C, Denmark
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Diet quality as assessed by the Healthy Food Intake Index and relationship with serum lipoprotein particles and serum fatty acids in pregnant women at increased risk for gestational diabetes. Br J Nutr 2018; 120:914-924. [DOI: 10.1017/s0007114518002404] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
AbstractThe importance of overall diet in modifying circulating lipoprotein particles and fatty acids during pregnancy is unclear. We examined the relationships of diet quality as assessed by the validated Healthy Food Intake Index (HFII) with serum HDL, LDL and VLDL particle concentrations and sizes and proportions of serum fatty acids in pregnant women at high risk for gestational diabetes mellitus (GDM). Overall, 161 women with a BMI of ≥30 kg/m2 and/or a history of GDM were drawn from the Finnish Gestational Diabetes Prevention Study, which is a dietary and exercise intervention trial to prevent GDM. At baseline, the HFII score was inversely related to concentrations of HDL particles (P=0·010) and MUFA (P=0·010) and positively related to concentrations of n-3 (P<0·001) and n-6 (P=0·003) PUFA. The significance for MUFA disappeared after adjustments. An increase in the HFII score from the first to second trimester of pregnancy correlated with reduced VLDL particle size (r −0·16, 95 % CI −0·31, −0·01), decreased MUFA concentrations (r −0·17, 95 % CI −0·31, −0·01) and elevated n-6 PUFA concentrations (r 0·16, 95 % CI 0·01, 0·31). In the maximum-adjusted model, the results remained significant except for VLDL particle size. These findings suggest that higher diet quality as defined by the HFII is related to a more favourable serum fatty acid profile, whereas the relationship with serum lipoprotein profile is limited in pregnant women at increased GDM risk.
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Lalić K, Nedeljković M, Jotić A, Babić R, Rajković N, Popović L, Lukić L, Miličić T, Singh Lukač S, Stošić L, Maćešić M, Rasulić I, Gajović JS, Lalić NM. Endothelial dysfunction of coronary arteries in subjects without diabetes: An association with both insulin resistance and impaired insulin secretion response. Diabetes Res Clin Pract 2018. [PMID: 29526680 DOI: 10.1016/j.diabres.2018.03.005] [Citation(s) in RCA: 6] [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] [Indexed: 02/02/2023]
Abstract
AIMS This study was aimed to compare insulin sensitivity and secretion response, lipoprotein and plasminogen activator inhibitor 1 (PAI-1) levels between the subjects with and without coronary artery endothelial dysfunction (ED). METHODS ED was detected by intracoronary injection of acetylcholine (ACh) in 47 nondiabetes subjects without stenotic coronary arteries, selected from 316 consecutive patients with coronary angiography performed for suspected coronary artery disease. The subjects were divided into two groups: presence of ACh-induced coronary spasm (group ED+, N = 30) and absence of ACh-induced coronary spasm (group ED-, N = 17). Insulin sensitivity (Si) was evaluated by frequently sampled intravenous glucose tolerance test (FSIGTT) with minimal model analysis and by HOMA-IR, insulin secretion by acute insulin response (AIR) (calculated from the first 8 min of FSIGTT) and by disposition index (DI) (Si × AIR). Lipids and PAI-1 levels were determined enzymatically, and LDL particle size by gradient gel electrophoresis. RESULTS Si was significantly lower (4.22 ± 0.62 vs 6.98 ± 1.47 min-1/mU/l × 104; p < 0.05) while HOMA-IR was significantly higher in ED + group vs ED- group (2.8 ± 0.3 vs 1.7 ± 0.2; p < 0.05). Simultaneously, AIR and DI was significantly lower in ED + vs ED- groups (p < 0.05 and p < 0.01, respectively). Investigated groups did not differ in fasting lipid levels but ED+ group had significantly smaller LDL particles (p < 0.01) and higher PAI-1 levels (p < 0.05). Regression analysis shown that DI was a strong independent predictor of appearance of ED, together with PAI-1 and LDL particle size. CONCLUSIONS Both insulin resistance and impairment in insulin secretion response strongly correlate with coronary ED in subjects without diabetes.
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Affiliation(s)
- Katarina Lalić
- Faculty of Medicine University of Belgrade, Dr. Subotića 8, 11000 Belgrade, Serbia; Clinic for Endocrinology, Diabetes and Metabolic Diseases, Clinical Center of Serbia, Dr. Subotića 13, 11000 Belgrade, Serbia.
| | - Milan Nedeljković
- Faculty of Medicine University of Belgrade, Dr. Subotića 8, 11000 Belgrade, Serbia; Clinic for Cardiology, Clinical Center of Serbia, Koste Todorovića 8, 11000 Belgrade, Serbia.
| | - Alekasandra Jotić
- Faculty of Medicine University of Belgrade, Dr. Subotića 8, 11000 Belgrade, Serbia; Clinic for Endocrinology, Diabetes and Metabolic Diseases, Clinical Center of Serbia, Dr. Subotića 13, 11000 Belgrade, Serbia.
| | - Rade Babić
- Faculty of Medicine University of Belgrade, Dr. Subotića 8, 11000 Belgrade, Serbia; Clinic for Cardiology, Clinical Center of Serbia, Koste Todorovića 8, 11000 Belgrade, Serbia.
| | - Nataša Rajković
- Faculty of Medicine University of Belgrade, Dr. Subotića 8, 11000 Belgrade, Serbia; Clinic for Endocrinology, Diabetes and Metabolic Diseases, Clinical Center of Serbia, Dr. Subotića 13, 11000 Belgrade, Serbia.
| | - Ljiljana Popović
- Faculty of Medicine University of Belgrade, Dr. Subotića 8, 11000 Belgrade, Serbia; Clinic for Endocrinology, Diabetes and Metabolic Diseases, Clinical Center of Serbia, Dr. Subotića 13, 11000 Belgrade, Serbia.
| | - Ljiljana Lukić
- Faculty of Medicine University of Belgrade, Dr. Subotića 8, 11000 Belgrade, Serbia; Clinic for Endocrinology, Diabetes and Metabolic Diseases, Clinical Center of Serbia, Dr. Subotića 13, 11000 Belgrade, Serbia.
| | - Tanja Miličić
- Faculty of Medicine University of Belgrade, Dr. Subotića 8, 11000 Belgrade, Serbia; Clinic for Endocrinology, Diabetes and Metabolic Diseases, Clinical Center of Serbia, Dr. Subotića 13, 11000 Belgrade, Serbia.
| | - Sandra Singh Lukač
- Clinic for Endocrinology, Diabetes and Metabolic Diseases, Clinical Center of Serbia, Dr. Subotića 13, 11000 Belgrade, Serbia.
| | - Ljubica Stošić
- Clinic for Endocrinology, Diabetes and Metabolic Diseases, Clinical Center of Serbia, Dr. Subotića 13, 11000 Belgrade, Serbia.
| | - Marija Maćešić
- Faculty of Medicine University of Belgrade, Dr. Subotića 8, 11000 Belgrade, Serbia; Clinic for Endocrinology, Diabetes and Metabolic Diseases, Clinical Center of Serbia, Dr. Subotića 13, 11000 Belgrade, Serbia.
| | - Iva Rasulić
- Clinic for Endocrinology, Diabetes and Metabolic Diseases, Clinical Center of Serbia, Dr. Subotića 13, 11000 Belgrade, Serbia.
| | - Jelena Stanarčić Gajović
- Clinic for Endocrinology, Diabetes and Metabolic Diseases, Clinical Center of Serbia, Dr. Subotića 13, 11000 Belgrade, Serbia.
| | - Nebojša M Lalić
- Faculty of Medicine University of Belgrade, Dr. Subotića 8, 11000 Belgrade, Serbia; Clinic for Endocrinology, Diabetes and Metabolic Diseases, Clinical Center of Serbia, Dr. Subotića 13, 11000 Belgrade, Serbia.
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Dugani SB, Akinkuolie AO, Paynter N, Glynn RJ, Ridker PM, Mora S. Association of Lipoproteins, Insulin Resistance, and Rosuvastatin With Incident Type 2 Diabetes Mellitus : Secondary Analysis of a Randomized Clinical Trial. JAMA Cardiol 2018; 1:136-45. [PMID: 27347563 DOI: 10.1001/jamacardio.2016.0096] [Citation(s) in RCA: 46] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
IMPORTANCE Statins decrease levels of low-density lipoprotein (LDL) and triglycerides as well as cardiovascular events but increase the risk for a diagnosis of type 2 diabetes mellitus (T2DM). The risk factors associated with incident T2DM are incompletely characterized. OBJECTIVE To investigate the association of lipoprotein subclasses and size and a novel lipoprotein insulin resistance (LPIR) score (a composite of 6 lipoprotein measures) with incident T2DM among individuals randomized to a high-intensity statin or placebo. DESIGN, SETTING, AND PARTICIPANTS This secondary analysis of the JUPITER trial (a placebo-controlled randomized clinical trial) was conducted at 1315 sites in 26 countries and enrolled 17 802 men 50 years or older and women 60 years or older with LDL cholesterol levels less than 130 mg/dL, high-sensitivity C-reactive protein levels of at least 2 mg/L, and triglyceride levels less than 500 mg/dL. Those with T2DM were excluded. A prespecified secondary aim was to assess the effect of rosuvastatin calcium on T2DM. Incident T2DM was monitored for a median of 2.0 years. Data were collected from February 4, 2003, to August 20, 2008, and analyzed (intention-to-treat) from December 1, 2013, to January 21, 2016. INTERVENTIONS Rosuvastatin calcium, 20 mg/d, or placebo. MAIN OUTCOMES AND MEASURES Size and concentration of lipids, apolipoproteins, and lipoproteins at baseline (11 918 patients with evaluable plasma samples) and 12 months after randomization (9180 patients). The LPIR score, a correlate of insulin resistance, was calculated as a weighted combination of size and concentrations of LDL, very low-density lipoprotein (VLDL), and high-density lipoprotein (HDL) particles. RESULTS Among the 11 918 patients (4334 women [36.4%]; median [interquartile range] age, 66 [60-71] years), rosuvastatin lowered the levels of LDL particles (-39.6%; 95% CI, -49.4% to -24.6%), VLDL particles (-19.6%; 95% CI, -40.6% to 10.3%), and VLDL triglycerides (-15.2%; 95% CI, -35.9% to 11.3%) and shifted the lipoprotein subclass distribution toward smaller LDL size (-1.5%; 95% CI, -3.7% to 0.5%), larger VLDL size (2.8%; 95% CI, -5.8% to 12.7%), and lower LPIR score (-3.2%; 95% CI, -20.6% to 16.9%). In analyses adjusted for age, sex, race or ethnic origin, exercise, educational level, family history, and smoking, the hazard ratio (HR) for T2DM per SD of LPIR score in the placebo arm was 1.99 (95% CI, 1.64-2.42); in the rosuvastatin arm, 2.06 (95% CI, 1.74-2.43). After additional adjustment for systolic blood pressure, body mass index, high-sensitivity C-reactive protein, hemoglobin A1c, HDL cholesterol, LDL cholesterol, and triglycerides, the LPIR score remained associated with T2DM in the placebo arm (HR, 1.35; 95% CI, 1.03-1.76) and rosuvastatin arm (HR, 1.60; 95% CI, 1.27-2.03). Similar trends were seen at 12 months. The LPIR score improved the model likelihood ratio (χ2 = 18.23; P < .001) and categorical net reclassification index (0.039; 95% CI, 0.003-0.072). CONCLUSIONS AND RELEVANCE In apparently healthy people, LPIR score was positively associated with incident T2DM, including during rosuvastatin therapy. TRIAL REGISTRATION clinicaltrials.gov Identifier: NCT00239681.
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Affiliation(s)
- Sagar B Dugani
- Division of Preventive Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts2Division of Internal Medicine, St Michael's Hospital, University of Toronto, Toronto, Ontario, Canada
| | - Akintunde O Akinkuolie
- Division of Preventive Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
| | - Nina Paynter
- Division of Preventive Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
| | - Robert J Glynn
- Division of Preventive Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts3Harvard T. H. Chan School of Public Health, Boston, Massachusetts4Department of Biostatistics, Brigham and Women's Hospita
| | - Paul M Ridker
- Division of Preventive Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts5Division of Cardiovascular Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
| | - Samia Mora
- Division of Preventive Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts5Division of Cardiovascular Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
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Brannick B, Dagogo-Jack S. Prediabetes and Cardiovascular Disease: Pathophysiology and Interventions for Prevention and Risk Reduction. Endocrinol Metab Clin North Am 2018; 47:33-50. [PMID: 29407055 PMCID: PMC5806140 DOI: 10.1016/j.ecl.2017.10.001] [Citation(s) in RCA: 129] [Impact Index Per Article: 21.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
Prediabetes is a state characterized by impaired fasting glucose or impaired glucose tolerance. This review discusses the pathophysiology and macrovascular complications of prediabetes. The pathophysiologic defects underlying prediabetes include insulin resistance, alpha- and beta-cell dysfunction, increased lipolysis, inflammation, and suboptimal incretin effect. Recent studies have revealed that the long-term complications of diabetes manifest in some people with prediabetes; these complications include microvascular and macrovascular disorders. Finally, we present an overview of randomized control trials aimed at preventing progression from prediabetes to type 2 diabetes and discuss their implications for macrovascular risk reduction.
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Affiliation(s)
- Ben Brannick
- Division of Endocrinology, Diabetes and Metabolism, University of Tennessee Health Science Center, 920 Madison Avenue, Suite 300A, Memphis, TN 38163, USA
| | - Sam Dagogo-Jack
- Division of Endocrinology, Diabetes and Metabolism, University of Tennessee Health Science Center, 920 Madison Avenue, Suite 300A, Memphis, TN 38163, USA.
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Wolak-Dinsmore J, Gruppen EG, Shalaurova I, Matyus SP, Grant RP, Gegen R, Bakker SJL, Otvos JD, Connelly MA, Dullaart RPF. A novel NMR-based assay to measure circulating concentrations of branched-chain amino acids: Elevation in subjects with type 2 diabetes mellitus and association with carotid intima media thickness. Clin Biochem 2018; 54:92-99. [PMID: 29432757 DOI: 10.1016/j.clinbiochem.2018.02.001] [Citation(s) in RCA: 64] [Impact Index Per Article: 10.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2017] [Revised: 12/22/2017] [Accepted: 02/03/2018] [Indexed: 12/11/2022]
Abstract
OBJECTIVES Plasma branched-chain amino acid (BCAA) levels, measured on nuclear magnetic resonance (NMR) metabolomics research platforms or by mass spectrometry, have been shown to be associated with type 2 diabetes mellitus (T2DM) and cardiovascular disease (CVD). We developed a new test for quantification of BCAA on a clinical NMR analyzer and used this test to determine the clinical correlates of BCAA in 2 independent cohorts. DESIGN AND METHODS The performance of the NMR-based BCAA assay was evaluated. A method comparison study was performed with mass spectrometry (LC-MS/MS). Plasma BCAA were measured in the Insulin Resistance Atherosclerosis Study (IRAS, n = 1209; 376 T2DM subjects) and in a Groningen cohort (n = 123; 67 T2DM subjects). In addition, carotid intima media thickness (cIMT) was measured successfully in 119 subjects from the Groningen cohort. RESULTS NMR-based BCAA assay results were linear over a range of concentrations. Coefficients of variation for inter- and intra-assay precision ranged from 1.8-6.0, 1.7-5.4, 4.4-9.1, and 8.8-21.3%, for total BCAA, valine, leucine, and isoleucine, respectively. BCAA quantified from the same samples using NMR and LC-MS/MS were highly correlated (R2 = 0.97, 0.95 and 0.90 for valine, leucine and isoleucine). In both cohorts total and individual BCAA were elevated in T2DM (P = 0.01 to ≤0.001). Moreover, cIMT was associated with BCAA independent of age, sex, T2DM and metabolic syndrome (MetS) categorization or alternatively of individual MetS components. CONCLUSIONS BCAA levels, measured by NMR in the clinical laboratory, are elevated in T2DM and may be associated with cIMT, a proxy of subclinical atherosclerosis.
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Affiliation(s)
| | - Eke G Gruppen
- Department of Endocrinology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands; Department of Nephrology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.
| | - Irina Shalaurova
- Laboratory Corporation of America Holdings (LabCorp), Morrisville, Burlington, NC, USA.
| | - Steven P Matyus
- Laboratory Corporation of America Holdings (LabCorp), Morrisville, Burlington, NC, USA.
| | - Russell P Grant
- Laboratory Corporation of America Holdings (LabCorp), Morrisville, Burlington, NC, USA.
| | - Ray Gegen
- Laboratory Corporation of America Holdings (LabCorp), Morrisville, Burlington, NC, USA.
| | - Stephan J L Bakker
- Department of Endocrinology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands; Department of Nephrology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.
| | - James D Otvos
- Laboratory Corporation of America Holdings (LabCorp), Morrisville, Burlington, NC, USA.
| | - Margery A Connelly
- Laboratory Corporation of America Holdings (LabCorp), Morrisville, Burlington, NC, USA.
| | - Robin P F Dullaart
- Department of Endocrinology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands.
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Catov JM, Mackey RH, Scifres CM, Bertolet M, Simhan HN. Lipoprotein Heterogeneity Early in Pregnancy and Preterm Birth. Am J Perinatol 2017; 34:1326-1332. [PMID: 28561142 PMCID: PMC6051416 DOI: 10.1055/s-0037-1603471] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
Abstract
Background The concentration and size of lipoprotein particles are associated with race, inflammation and disease. When triglycerides are high, as in pregnancy, lipoprotein particle size may have physiologic importance beyond conventional lipid measurements. We considered that lipoprotein particles may be related to preterm birth (PTB), and explored race differences. Methods Samples were collected at 9 weeks gestation (22 PTB [<37 weeks]; 42 term births [≥37 weeks]). Lipids were assayed using standard techniques. Concentrations of high-density lipoprotein, low-density lipoprotein, very low-density lipoprotein particles (HDL-P, LDL-P, and VLDL-P) and markers of systemic inflammation were quantified using NMR spectroscopy and related to PTB. Results Women with PTB had lower VLDL-P (−10.66 nmol/L, p=0.03) and higher systemic inflammation (+19.2 μmol/L, p=0.02) compared to women with term births, independent of race, pre-pregnancy BMI and smoking. Black vs. White women had lower VLDL-P and higher HDL-cholesterol (both p<0.05). Race-specific results indicated that large HDL-P and inflammation (GlycB) were higher with PTB vs. term birth among black women only. Conclusion Women with PTB had lower VLDL-P early in pregnancy, which may represent impaired lipid response. Black-White differences in the lipoprotein profile are similar to non-pregnant adults, but race-specific lipoprotein and inflammation associations with PTB warrant further study.
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Affiliation(s)
- Janet M. Catov
- University of Pittsburgh, Department of Obstetrics, Gynecology and Reproductive Sciences and Magee Womens Research Institute, Pittsburgh, PA
- University of Pittsburgh, Department of Epidemiology, Pittsburgh, PA
| | - Rachel H. Mackey
- University of Pittsburgh, Department of Epidemiology, Pittsburgh, PA
| | - Christina M. Scifres
- University of Pittsburgh, Department of Obstetrics, Gynecology and Reproductive Sciences and Magee Womens Research Institute, Pittsburgh, PA
| | - Marnie Bertolet
- University of Pittsburgh, Department of Epidemiology, Pittsburgh, PA
| | - Hyagriv N. Simhan
- University of Pittsburgh, Department of Obstetrics, Gynecology and Reproductive Sciences and Magee Womens Research Institute, Pittsburgh, PA
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