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Al-Aubaidy HA, Dayan A, Deseo MA, Itsiopoulos C, Jamil D, Hadi NR, Thomas CJ. Twelve-Week Mediterranean Diet Intervention Increases Citrus Bioflavonoid Levels and Reduces Inflammation in People with Type 2 Diabetes Mellitus. Nutrients 2021; 13:1133. [PMID: 33808180 PMCID: PMC8065815 DOI: 10.3390/nu13041133] [Citation(s) in RCA: 27] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2021] [Revised: 03/18/2021] [Accepted: 03/23/2021] [Indexed: 01/06/2023] Open
Abstract
The benefits of a Mediterranean Diet (MedDiet) in the management of diabetes have been reported, but the contribution of polyphenol-rich citrus fruit has not been studied widely. Here, we report the sub-study findings of a previously conducted MedDiet intervention clinical trial in patients with type 2 diabetes mellitus (T2DM), where we aimed to measure the diet intervention effects on plasma citrus bioflavonoids levels and biomarkers of inflammation and oxidative stress. We analysed plasma samples from 19 (of original 27) participants with T2DM who were randomly assigned to consume the MedDiet intervention or their usual diet for 12 weeks and then crossed over to the alternate diet. Compared with baseline, MedDiet significantly increased levels of the citrus bioflavonoids naringin, hesperitin and hesperidin (by 60%, 58% and 39%, respectively, p < 0.05) and reduced plasma levels of the pro-inflammatory cytokine IL-6 (by 49%, p = 0.016). Oxidative stress marker 8-hydroxy-2'-deoxyguanosine (8-OHdG) decreased by 32.4% (p = 0.128). Usual diet did not induce these beneficial changes. The reduced inflammatory profile of T2DM participants may, in part, be attributed to the anti-inflammatory actions of citrus bioflavonoids. Together with indications of improved oxidative stress, these findings add to the scientific evidence base for beneficial consumption of citrus fruit in the MedDiet pattern.
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Affiliation(s)
- Hayder A. Al-Aubaidy
- Department of Physiology, Anatomy and Microbiology, School of Life Sciences, La Trobe University, Melbourne 3086, Australia; (A.D.); (D.J.); (C.J.T.)
| | - Aanchal Dayan
- Department of Physiology, Anatomy and Microbiology, School of Life Sciences, La Trobe University, Melbourne 3086, Australia; (A.D.); (D.J.); (C.J.T.)
| | - Myrna A. Deseo
- ARC Research Hub for Medicinal Agriculture, La Trobe Institute for Agriculture and Food, Department of Animal, Plant and Soil Sciences, School of Life Sciences, La Trobe University, Melbourne 3086, Australia;
| | - Catherine Itsiopoulos
- School of Allied Health, Human Services and Sport, La Trobe University, Melbourne 3086, Australia;
| | - Dina Jamil
- Department of Physiology, Anatomy and Microbiology, School of Life Sciences, La Trobe University, Melbourne 3086, Australia; (A.D.); (D.J.); (C.J.T.)
| | - Najah R. Hadi
- Department of Pharmacology and Therapeutics, Faculty of Medicine, University of Kufa, Al-Najaf 0054, Iraq;
| | - Colleen J. Thomas
- Department of Physiology, Anatomy and Microbiology, School of Life Sciences, La Trobe University, Melbourne 3086, Australia; (A.D.); (D.J.); (C.J.T.)
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Asbaghi O, Kashkooli S, Amini MR, Shahinfar H, Djafarian K, Clark CCT, Shab-Bidar S. The effects of L-carnitine supplementation on lipid concentrations inpatients with type 2 diabetes: A systematic review and meta-analysis of randomized clinical trials. J Cardiovasc Thorac Res 2021; 12:246-255. [PMID: 33510873 PMCID: PMC7828761 DOI: 10.34172/jcvtr.2020.43] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2019] [Accepted: 07/27/2020] [Indexed: 12/21/2022] Open
Abstract
This meta-analysis was performed to assess the effect of L-carnitine supplementation on lipid profile. A systematic search were conducted in PubMed and Scopus to identify randomized clinical trials (RCTs) which evaluated the effects of L-carnitine on lipid profile. Pooled effect sizes were measured using random-effect model (Dersimonian-Laird). Meta-analysis showed that L-carnitine supplementation significantly reduced total cholesterol (TC) (weighted mean difference [WMD]: -8.17 mg/dL; 95% CI,-14.68 to -1.65, I2=52.2%, P = 0.041). Baseline level of TC was a source of heterogeneity, with a greater effect in studies with a baseline level of more than 200 mg/d (WMD: -11.93 mg/dL; 95% CI, -20.80 to-3.05). L-carnitine also significantly decreased low-density lipoprotein-cholesterol (LDL-C) (WMD:-5.22 mg/dL; 95% CI, -9.54 to -0.91, I2=66.7%, P = 0.010), and LDL-C level <100 mg/dL), trial duration,and L-carnitine dosage were potential sources of heterogeneity. L-carnitine supplementation appeared to have no significant effect on high-density lipoprotein-cholesterol (HDL-C) (WMD: -0.51 mg/dL;95% CI, -2.45 to 1.44) and triglyceride (TG) (WMD: 2.80 mg/dL; 95% CI, -8.09 to 13.69). This meta-analysisrevealed that L-carnitine may have favorable effects on lipid profile, especially LDL-C and TC. However, further RCTs are needed to confirm the veracity of these results, particularly among hyperlipidemic patients.
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Affiliation(s)
- Omid Asbaghi
- Student Research Committee, Lorestan University of Medical Sciences, Khorramabad, Iran
| | - Sara Kashkooli
- Nutritional Health Research Center, Lorestan University of Medical Sciences, Khorramabad, Iran
| | - Mohammad Reza Amini
- Department of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences, Tehran, Iran.,Students' Scientific Research Center (SSRC), Tehran University of Medical Sciences (TUMS), Tehran, Iran
| | - Hossein Shahinfar
- Department of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences, Tehran, Iran
| | - Kurosh Djafarian
- Department of Clinical Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences, Tehran, Iran
| | - Cain C T Clark
- Centre for Intelligent Healthcare, Coventry University, Coventry, CV15FB, UK
| | - Sakineh Shab-Bidar
- Department of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences, Tehran, Iran
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53
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Anklam CFV, Lissarassa YPS, dos Santos AB, Costa-Beber LC, Sulzbacher LM, Goettems-Fiorin PB, Heck TG, Frizzo MN, Ludwig MS. Oxidative and Cellular Stress Markers in Postmenopause Women with Diabetes: The Impact of Years of Menopause. J Diabetes Res 2021; 2021:3314871. [PMID: 34568498 PMCID: PMC8460375 DOI: 10.1155/2021/3314871] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/26/2021] [Accepted: 08/28/2021] [Indexed: 02/08/2023] Open
Abstract
Women live approximately one-third of their lives in postmenopause. Among postmenopausal women, type 2 diabetes mellitus (DM2) is one of the most prevalent chronic diseases. These conditions promote alterations in the oxidative, metabolic, and immune-inflammatory profiles marked by higher extracellular 72 kDa-heat shock protein (eHSP72). Here, we investigated whether the time of menopause is associated with oxidative cellular stress marker levels in postmenopausal women with DM2. Sixty-four women were recruited (56.7 ± 12.6 years old) in the pre- (n = 22) and postmenopause (n = 42) period, with (n = 19) or without DM2 (n = 45), and a fasting blood collection was made for the evaluation of metabolic, oxidative, and inflammatory markers. We found that menopause and DM2 influenced metabolic and oxidative parameters and presented synergistic effects on the plasma lipoperoxidation levels. Also, postmenopausal women had the highest eHSP72 concentration levels associated with the years in postmenopause. We conclude that the time of menopause impacts the markers of cellular stress and increases the risk of oxidative stress, mainly when it is associated with DM2.
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Affiliation(s)
- Carolain Felipin Vincensi Anklam
- Research Group in Physiology, Department of Life Sciences, Regional University of Northwestern Rio Grande Do Sul State (UNIJUI), Rua do Comércio, 3000 Bairro Universitário Ijuí RS, Brazil 98700-000
- Postgraduate Program in Integral Attention to Health (PPGAIS-UNIJUÍ/UNICRUZ), Ijuí, RS, Brazil
| | - Yana Picinin Sandri Lissarassa
- Research Group in Physiology, Department of Life Sciences, Regional University of Northwestern Rio Grande Do Sul State (UNIJUI), Rua do Comércio, 3000 Bairro Universitário Ijuí RS, Brazil 98700-000
- Postgraduate Program in Integral Attention to Health (PPGAIS-UNIJUÍ/UNICRUZ), Ijuí, RS, Brazil
| | - Analú Bender dos Santos
- Research Group in Physiology, Department of Life Sciences, Regional University of Northwestern Rio Grande Do Sul State (UNIJUI), Rua do Comércio, 3000 Bairro Universitário Ijuí RS, Brazil 98700-000
- Postgraduate Program in Integral Attention to Health (PPGAIS-UNIJUÍ/UNICRUZ), Ijuí, RS, Brazil
| | - Lílian Corrêa Costa-Beber
- Research Group in Physiology, Department of Life Sciences, Regional University of Northwestern Rio Grande Do Sul State (UNIJUI), Rua do Comércio, 3000 Bairro Universitário Ijuí RS, Brazil 98700-000
- Postgraduate Program in Integral Attention to Health (PPGAIS-UNIJUÍ/UNICRUZ), Ijuí, RS, Brazil
| | - Lucas Machado Sulzbacher
- Research Group in Physiology, Department of Life Sciences, Regional University of Northwestern Rio Grande Do Sul State (UNIJUI), Rua do Comércio, 3000 Bairro Universitário Ijuí RS, Brazil 98700-000
- Postgraduate Program in Integral Attention to Health (PPGAIS-UNIJUÍ/UNICRUZ), Ijuí, RS, Brazil
| | - Pauline Brendler Goettems-Fiorin
- Research Group in Physiology, Department of Life Sciences, Regional University of Northwestern Rio Grande Do Sul State (UNIJUI), Rua do Comércio, 3000 Bairro Universitário Ijuí RS, Brazil 98700-000
- Postgraduate Program in Integral Attention to Health (PPGAIS-UNIJUÍ/UNICRUZ), Ijuí, RS, Brazil
| | - Thiago Gomes Heck
- Research Group in Physiology, Department of Life Sciences, Regional University of Northwestern Rio Grande Do Sul State (UNIJUI), Rua do Comércio, 3000 Bairro Universitário Ijuí RS, Brazil 98700-000
- Postgraduate Program in Integral Attention to Health (PPGAIS-UNIJUÍ/UNICRUZ), Ijuí, RS, Brazil
- Postgraduate Program in Mathematical and Computational Modeling (PPGMMC-UNIJUÍ), Ijuí, RS, Brazil
| | - Matias Nunes Frizzo
- Research Group in Physiology, Department of Life Sciences, Regional University of Northwestern Rio Grande Do Sul State (UNIJUI), Rua do Comércio, 3000 Bairro Universitário Ijuí RS, Brazil 98700-000
- Postgraduate Program in Integral Attention to Health (PPGAIS-UNIJUÍ/UNICRUZ), Ijuí, RS, Brazil
| | - Mirna Stela Ludwig
- Research Group in Physiology, Department of Life Sciences, Regional University of Northwestern Rio Grande Do Sul State (UNIJUI), Rua do Comércio, 3000 Bairro Universitário Ijuí RS, Brazil 98700-000
- Postgraduate Program in Integral Attention to Health (PPGAIS-UNIJUÍ/UNICRUZ), Ijuí, RS, Brazil
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Makena W, Hambolu JO, Timbuak JA, Umana UE, Iliya AI, Dibal NI. Mormodica charantia L. fruit and Genistein ameliorates type 2 diabetes in rats by preventing lipid accumulation, insulin resistance and enhancing beta cell function. J Diabetes Metab Disord 2020; 19:1303-1310. [PMID: 33553029 PMCID: PMC7843820 DOI: 10.1007/s40200-020-00648-4] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/01/2020] [Accepted: 09/25/2020] [Indexed: 02/07/2023]
Abstract
PURPOSE The present study was aimed at evaluating the role of Momordica charantia L. fruit and Genistein on beta cell, insulin resistance/sensitivity and lipid profile in type 2 diabetic rats. METHODS Thirty-five (35) albino rats were divided into seven (7) groups of 5 rats each comprising of five (5) non-diabetic and thirty (30) diabetic rats. Groups 1 and 2 served as the normal control and diabetic control groups respectively and received distill water, groups 3 and 4 received Mormodica charantia L. at 250 mg/kg and 500 mg/kg respectively. Groups 5 and 6 received Genistein at 10 mg/kg and 20 mg/kg respectively while group 7 received Metformin at 500 mg/kg the experiment lasted for four weeks. All the rats were euthanized at the end of the fourth week. RESULTS Lipid profile, glucose and insulin levels were determined from the analysis of serum parameters and the histology of the pancreas. A significant reduction (p < 0.05) in blood glucose levels was noticed in rats that received Momordica charantia L. (MC) and genistein when compared with diabetic control rats. A significant decrease (p < 0.05) in cholesterol, triglyceride, low density lipoprotein (LDL) and very low density lipoprotein (VLDL) levels were also noted in rats that received MC and Genistein when compared with the diabetic control rats. MC and Genistein significantly increased (P < 0.05) serum insulin level compared to the diabetic control rats. MC and Genistein significantly decreased (p < 0.05) homeostatic model assessment-insulin resistance (HOMA-IR) level compared with the diabetic control group. Pancreas of rats that received MC and Genistein showed regenerating beta-cells. CONCLUSION Momordica charantia L. fruit and Genistein were able to enhance beta cell function and prevent lipid accumulation and insulin resistance in type 2 diabetic rats.
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Affiliation(s)
- Wusa Makena
- Department of Human Anatomy, Ahmadu Bello University, Zaria, Kaduna State Nigeria
- Department of Human Anatomy, University of Maiduguri, Maiduguri, Borno State Nigeria
| | - Joseph O. Hambolu
- Department of Veterinary Anatomy, Ahmadu Bello University, Zaria, Kaduna State Nigeria
| | - James A. Timbuak
- Department of Human Anatomy, Yusuf Maitama Sule University, Kano, Kano State Nigeria
| | - Uduak E. Umana
- Department of Human Anatomy, Ahmadu Bello University, Zaria, Kaduna State Nigeria
| | - Abdullahi I. Iliya
- Department of Human Anatomy, Federal University Dutse, Dutse, Jigawa State Nigeria
| | - Nathan I. Dibal
- Department of Human Anatomy, University of Maiduguri, Maiduguri, Borno State Nigeria
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Omodanisi EI, Tomose Y, Okeleye BI, Ntwampe SKO, Aboua YG. Prevalence of Dyslipidaemia among Type 2 Diabetes Mellitus Patients in the Western Cape, South Africa. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2020; 17:E8735. [PMID: 33255455 PMCID: PMC7734575 DOI: 10.3390/ijerph17238735] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/16/2020] [Revised: 03/29/2020] [Accepted: 04/01/2020] [Indexed: 12/22/2022]
Abstract
Dyslipidaemia, an irregular aggregate of lipids in the blood is common in diabetes and cardiovascular disease sufferers. A cross-sectional study on the prevalence of dyslipidaemia was performed among type 2 diabetes mellitus (T2DM) patients in the Western Cape, South Africa. Patients (n = 100) that participated in the study were within the age range of 19-68 years, of whom 89% were observed to have serum lipid abnormalities. Out of the 100 patients, 56%, 64%, 61%, and 65% were recorded to have high total cholesterol (TC), hypertriglycemia, increased low-density lipoproteins cholesterol (LDL-C), and reduced high-density lipoproteins cholesterol (HDL-C), respectively. In male diabetic patients, a marked prevalence of (94%) dyslipidemia was noted, of which 52% were affected by high TC (5.3-7.9 mmol/L), with 70% having a high level of triglyceride (TG) [1.72-7.34 mmol/L], while 60% had a high LDL-C (3.1-5.5 mmol/L), including 78% with low HDL-C (0.7-1.1 mmol/L). In comparison, 84% of diabetic females had dyslipidemia, with high TC (5.1-8.1 mmol/L), hypertriglycemia (1.73-8.63 mmol/L), high LDL-C (3.1-5.6 mmol/L), and low levels of HDL-C (0.8-1.1 mmol/L) affecting 60%, 58%, 62%, and 52% of the patients, respectively. This study showed the importance of screening and the regular surveillance of dyslipidaemia in T2DM patients as there is a paucity of data on it in Africa.
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Affiliation(s)
- Elizabeth I. Omodanisi
- Bioresource Engineering Research Group (BioERG), Faculty of Applied Sciences, Cape Peninsula University of Technology, P.O. Box 652, Cape Town 8000, South Africa; (B.I.O.); (S.K.O.N.)
| | - Yibanathi Tomose
- Department of Biomedical Science, Faculty of Health and Wellness, Cape Peninsula University of Technology, Cape Town 7535, South Africa;
| | - Benjamin I. Okeleye
- Bioresource Engineering Research Group (BioERG), Faculty of Applied Sciences, Cape Peninsula University of Technology, P.O. Box 652, Cape Town 8000, South Africa; (B.I.O.); (S.K.O.N.)
| | - Seteno K. O. Ntwampe
- Bioresource Engineering Research Group (BioERG), Faculty of Applied Sciences, Cape Peninsula University of Technology, P.O. Box 652, Cape Town 8000, South Africa; (B.I.O.); (S.K.O.N.)
- School of Chemical and Minerals Engineering, North-West University, Private Bag X1290, Potchefstroom 2520, South Africa
| | - Yapo G. Aboua
- Bioresource Engineering Research Group (BioERG), Faculty of Applied Sciences, Cape Peninsula University of Technology, P.O. Box 652, Cape Town 8000, South Africa; (B.I.O.); (S.K.O.N.)
- Department of Health Sciences, Faculty of Health and Applied Sciences, Namibia University of Science and Technology, Windhoek 13388, Namibia
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56
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Zhang Y, Qin P, Lou Y, Zhao P, Li X, Qie R, Wu X, Han M, Huang S, Zhao Y, Liu D, Wu Y, Li Y, Yang X, Zhao Y, Feng Y, Wang C, Ma J, Peng X, Chen H, Zhao D, Xu S, Wang L, Luo X, Zhang M, Hu D, Hu F. Association of TG/HDLC ratio trajectory and risk of type 2 diabetes: A retrospective cohort study in China. J Diabetes 2020; 13:402-412. [PMID: 33074586 DOI: 10.1111/1753-0407.13123] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/23/2020] [Revised: 09/20/2020] [Accepted: 10/15/2020] [Indexed: 01/02/2023] Open
Abstract
BACKGROUND The association of ratio of triglycerides to high-density lipoprotein cholesterol (TG/HDL-C ratio) change trajectory with risk of type 2 diabetes mellitus (T2DM) remains unknown. The aim of this study was to evaluate the association between risk of T2DM and TG/HDL-C ratio change trajectory. METHODS A total of 18 444 participants aged 18-80 years old were included in this cohort study. Linear regression and quadratic regression models were used to determine the TG/HDL-C ratio change trajectory. Logistic regression was used to estimate odds ratios (ORs) and 95% confidence intervals (CIs) for the association between TG/HDL-C ratio change trajectory and probability of T2DM. RESULTS T2DM developed in 714 participants during a median follow-up of 5.74 years (92 076.23 person-years of follow-up). After adjusting for baseline potential confounders, odds of T2DM were greater for participants with the increasing, U-shape, bell-shape, and other shape change vs decreasing change (adjusted OR [aOR] 2.01, 95% CI 1.42-2.81; 1.56, 1.15-2.13; 1.60, 1.17-2.20; and 1.49, 1.13-2.00, respectively). The results were robust in the sensitivity analyses on excluding baseline participants with T2DM. Moreover, the associations remained significant with male sex, age <60 years and body mass index <24 kg/m2 . CONCLUSIONS This retrospective study revealed increased probability of T2DM with increasing, U-shape, bell-shape, and other-shape TG/HDL-C ratio change trajectories, especially with male sex, age <60 years and body mass index <24 kg/m2 .
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Affiliation(s)
- Yanyan Zhang
- Department of Epidemiology and Health Statistics, School of Public Health, Shenzhen University Health Science Center, Shenzhen, People's Republic of China
| | - Pei Qin
- Department of Epidemiology and Health Statistics, School of Public Health, Shenzhen University Health Science Center, Shenzhen, People's Republic of China
| | - Yanmei Lou
- Department of Health Management, Beijing Xiaotangshan Hospital, Beijing, People's Republic of China
| | - Ping Zhao
- Department of Health Management, Beijing Xiaotangshan Hospital, Beijing, People's Republic of China
| | - Xue Li
- Department of Epidemiology, School of Public Health, Harbin Medical University, Harbin, People's Republic of China
| | - Ranran Qie
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, People's Republic of China
| | - Xiaoyan Wu
- Department of Epidemiology and Health Statistics, School of Public Health, Shenzhen University Health Science Center, Shenzhen, People's Republic of China
| | - Minghui Han
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, People's Republic of China
| | - Shengbing Huang
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, People's Republic of China
| | - Yang Zhao
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, People's Republic of China
| | - Dechen Liu
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, People's Republic of China
| | - Yuying Wu
- Department of Epidemiology and Health Statistics, School of Public Health, Shenzhen University Health Science Center, Shenzhen, People's Republic of China
| | - Yang Li
- Department of Epidemiology and Health Statistics, School of Public Health, Shenzhen University Health Science Center, Shenzhen, People's Republic of China
| | - Xingjin Yang
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, People's Republic of China
| | - Yang Zhao
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, People's Republic of China
| | - Yifei Feng
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, People's Republic of China
| | - Changyi Wang
- Department of Non-communicable Disease Prevention and Control, Shenzhen Nanshan Center for Chronic Disease, Shenzhen, People's Republic of China
| | - Jianping Ma
- Department of Non-communicable Disease Prevention and Control, Shenzhen Nanshan Center for Chronic Disease, Shenzhen, People's Republic of China
| | - Xiaolin Peng
- Department of Non-communicable Disease Prevention and Control, Shenzhen Nanshan Center for Chronic Disease, Shenzhen, People's Republic of China
| | - Hongen Chen
- Department of Non-communicable Disease Prevention and Control, Shenzhen Nanshan Center for Chronic Disease, Shenzhen, People's Republic of China
| | - Dan Zhao
- Department of Non-communicable Disease Prevention and Control, Shenzhen Nanshan Center for Chronic Disease, Shenzhen, People's Republic of China
| | - Shan Xu
- Department of Non-communicable Disease Prevention and Control, Shenzhen Nanshan Center for Chronic Disease, Shenzhen, People's Republic of China
| | - Li Wang
- Department of Non-communicable Disease Prevention and Control, Shenzhen Nanshan Center for Chronic Disease, Shenzhen, People's Republic of China
| | - Xinping Luo
- School of Basic Medicine, Shenzhen University Health Science Center, Shenzhen, People's Republic of China
| | - Ming Zhang
- Department of Epidemiology and Health Statistics, School of Public Health, Shenzhen University Health Science Center, Shenzhen, People's Republic of China
| | - Dongsheng Hu
- Department of Epidemiology and Health Statistics, School of Public Health, Shenzhen University Health Science Center, Shenzhen, People's Republic of China
| | - Fulan Hu
- Department of Epidemiology and Health Statistics, School of Public Health, Shenzhen University Health Science Center, Shenzhen, People's Republic of China
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Moosaie F, Firouzabadi FD, Abouhamzeh K, Esteghamati S, Meysamie A, Rabizadeh S, Nakhjavani M, Esteghamati A. Lp(a) and Apo-lipoproteins as predictors for micro- and macrovascular complications of diabetes: A case-cohort study. Nutr Metab Cardiovasc Dis 2020; 30:1723-1731. [PMID: 32636121 DOI: 10.1016/j.numecd.2020.05.011] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/14/2020] [Revised: 03/27/2020] [Accepted: 05/18/2020] [Indexed: 02/06/2023]
Abstract
AIMS To investigate the associations between Lp(a), Apo A1, Apo B, and Apo B/Apo A1 ratio with micro- and macrovascular complications of diabetes. METHODS AND RESULTS In this case-cohort study, 1057 patients with type 2 diabetes (T2DM) were followed in the diabetes clinic of Vali-Asr Hospital from 2014 to 2019. The association between serum Lp (a) and apolipoproteins with cardiovascular disease (CVD), neuropathy, and nephropathy were assessed by using binary regression analysis. The ROC curve analysis was used to evaluate the predictive properties of proteins. Youden index was used to calculate cutoff values. Among patients with T2DM, 242, 231, and 91 patients developed CVD, neuropathy, and nephropathy, respectively. The serum Lp (a) level was positively correlated with the development of all three. (P-values = 0.022, 0.042, and 0.038, respectively). The Apo A1 level was negatively correlated with nephropathy. Among the biomarkers, Lp(a) had the highest AUC for prediction of CVD, neuropathy, and nephropathy. Calculated cutoff values of Lp(a), and Apo A1 levels were higher than the standard cutoff values. CONCLUSION Serum level of Lp(a) is a predictor for CVD, neuropathy, and nephropathy. Based on the calculated cutoff values in patients with T2DM, we should consider diabetic complications at higher levels of Lp(a).
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Affiliation(s)
- Fatemeh Moosaie
- Endocrinology and Metabolism Research Center (EMRC), Vali-Asr Hospital, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran
| | - Fatemeh D Firouzabadi
- Endocrinology and Metabolism Research Center (EMRC), Vali-Asr Hospital, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran
| | - Kosar Abouhamzeh
- Endocrinology and Metabolism Research Center (EMRC), Vali-Asr Hospital, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran
| | - Sadaf Esteghamati
- Endocrinology and Metabolism Research Center (EMRC), Vali-Asr Hospital, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran
| | - Alipasha Meysamie
- Department of Community Medicine, Tehran University of Medical Sciences, Tehran, Iran
| | - Soghra Rabizadeh
- Endocrinology and Metabolism Research Center (EMRC), Vali-Asr Hospital, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran
| | - Manouchehr Nakhjavani
- Endocrinology and Metabolism Research Center (EMRC), Vali-Asr Hospital, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran
| | - Alireza Esteghamati
- Endocrinology and Metabolism Research Center (EMRC), Vali-Asr Hospital, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran.
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58
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Safari S, Amini M, Aminorroaya A, Feizi A. Patterns of changes in serum lipid profiles in prediabetic subjects: results from a 16-year prospective cohort study among first-degree relatives of type 2 diabetic patients. Lipids Health Dis 2020; 19:193. [PMID: 32829710 PMCID: PMC7444073 DOI: 10.1186/s12944-020-01371-y] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2020] [Accepted: 08/12/2020] [Indexed: 02/19/2023] Open
Abstract
Background Lipid abnormality pervasively is associated with the risk of type 2 diabetes mellitus. To the best of our knowledge, there is no study that has examined the longitudinal changes in a wide range of serum lipid profiles in prediabetic subjects in association with the risk of developing type 2 diabetes mellitus in the future. This study aimed to identify the patterns of changes in lipid profiles over time in prediabetic patients and to classify these subjects in order to highlight which patients are at high risk for future diabetes. Methods This prospective 16-year (2003–2019) cohort study was conducted among 1228 prediabetic subjects. The study subjects were followed, and the changes in their lipid profiles, including triglycerides, cholesterol, high-density lipoprotein cholesterol, and low-density lipoprotein cholesterol, were evaluated. The latent Markov model was used for data analysis. Results The mean (standard deviation) age of subjects was 44.0 (6.8) years, and 73.6% of them were female. The latent Markov model identified two latent states of subjects in terms of changes in lipid profiles: a low tendency to progress diabetes / high tendency to progress diabetes (74, 26%). The latent Markov model showed that the transition probability from a “low tendency to progress diabetic” state to a “high tendency to progress diabetic” state was lower than the transition probability from “high tendency to progress diabetic” state to “low tendency to progress diabetic” state. Conclusions The present study showed that more than half of the first-degree relatives of T2DM had approximately normal lipid profiles and that these patients are more inclined to transition from a higher- to a lower-tendency diabetic state. These findings confirm the value of regular screening of first-degree relatives of T2DM. Moreover, preventive intervention strategies are recommended to reduce their risk of developing T2DM.
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Affiliation(s)
- Shahla Safari
- Isfahan Endocrine and Metabolism Research Center, Isfahan University of Medical Sciences, Isfahan, Iran.,Department of Biostatistics and Epidemiology, School of Health, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Masoud Amini
- Isfahan Endocrine and Metabolism Research Center, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Ashraf Aminorroaya
- Isfahan Endocrine and Metabolism Research Center, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Awat Feizi
- Isfahan Endocrine and Metabolism Research Center, Isfahan University of Medical Sciences, Isfahan, Iran. .,Department of Biostatistics and Epidemiology, School of Health, Isfahan University of Medical Sciences, Isfahan, Iran.
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Phuphuakrat A, Nimitphong H, Reutrakul S, Sungkanuparph S. Prediabetes among HIV-infected individuals receiving antiretroviral therapy: prevalence, diagnostic tests, and associated factors. AIDS Res Ther 2020; 17:25. [PMID: 32448349 PMCID: PMC7247133 DOI: 10.1186/s12981-020-00284-1] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2019] [Accepted: 05/15/2020] [Indexed: 02/06/2023] Open
Abstract
Background Metabolic complications in human immunodeficiency virus (HIV)-infected individuals are common. Prediabetes represents a high risk for future diabetes development. This study aimed to determine the prevalence, diagnostic methods, and associated factors of prediabetes among HIV-infected individuals receiving antiretroviral therapy (ART). Methods A cross-sectional study was conducted among HIV-infected adults without a history of diabetes who were receiving ART. Fasting plasma glucose (FPG), 2-hour plasma glucose (2-h PG) after a 75-g oral glucose tolerance test, and hemoglobin A1c (HbA1c) were assessed. Results A total of 397 patients with a mean age of 47.0 ± 9.8 years and 55.7% male, were studied. All received ART with undetectable plasma viral load. The mean duration of ART was 9.6 ± 5.2 years, and the mean CD4 cell count was 554 ± 235 cells/mm3. Among the patients, 28 (7.1%) had first-diagnosed diabetes, and 133 (33.5%) patients had prediabetes. Glycemia estimation by FPG, 2-h PG, and HbA1c showed a prediabetes prevalence of 17.4%, 14.7%, and 12.5%, respectively. The kappa statistics for the agreement of FPG and 2-h PG, HbA1c and 2-h PG, and HbA1c and FPG were 0.317, 0.429, and 0.396, respectively. In multivariate analysis, hypertension [odds ratio (OR) 3.38; 95% confidence interval (CI), 1.16-9.91; p = 0.026), and triglycerides > 150 mg/dL (OR 2.11; 95% CI, 1.01-4.44; p = 0.047) were factors significantly associated with prediabetes. Conclusions Prediabetes among HIV-infected individuals receiving ART is common. The agreements of glycemia estimation methods are minimal to weak. HbA1c may underestimate prediabetes prevalence. Using FPG together with HbA1c increases the detection rate to approximately three-quarters of prediabetes patients. HIV-infected individuals who had hypertension and hypertriglyceridemia should be regularly assessed for prediabetes. Trial registration ClinicalTrial.gov, NCT03545217. Registered 1 June 2018—Retrospectively registered, https://clinicaltrials.gov/ct2/show/NCT03545217
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60
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Wang YC, Wang C, Shih PW, Tang PL. Analysis of the relationship between lifestyle habits and glycosylated hemoglobin control based on data from a Health Management Plan. Nutr Res Pract 2020; 14:218-229. [PMID: 32528629 PMCID: PMC7263898 DOI: 10.4162/nrp.2020.14.3.218] [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] [Subscribe] [Scholar Register] [Received: 10/24/2019] [Revised: 11/20/2019] [Accepted: 12/17/2019] [Indexed: 12/14/2022] Open
Abstract
BACKGROUND/OBJECTIVES Type 2 Diabetes mellitus (T2DM) is a hereditary disease that is also strongly dependent on environmental factors, lifestyles, and dietary habits. This study explored the relationship between lifestyle habits and glycosylated hemoglobin management in T2DM patients to provide empirical outcomes to improve T2DM management and patient health literacy. SUBJECTS/METHODS This study enrolled 349 diabetic patients with more than 5 care visits to a Diabetes Mellitus care network under the Health Management Plan led by Taiwan Department of Health (DOH). Based on relevant literature, an Outpatient Record Form of Diabetes Mellitus Care was designed and lipid profile tests were conducted for data collection and analysis. RESULTS When modeling the data, the results showed that the odds for HbA1c > 7.5% in T2DM patients duration over 10 years was 3.785 (P = 0.002) times that in patients with disease duration of fewer than 3 years. The odds of HbA1c > 7.5% in illiterate patients was 3.128 (P = 0.039) times that in patients with senior high school education or above. The odds of HbA1c > 7.5% in patients with other chronic illness was 2.207 (P = 0.019) times that in participants without chronic illness. Among 5 beneficial lifestyle habits, the odds of HbA1c > 7.5% in patients with 2 or 3 good habits were 3.243 (P = 0.003) and 3.424 (P = 0.001) times that in patients with more than 3 good habits, respectively. CONCLUSION This empirical outcome shows that maintaining a good lifestyle improves T2DM management and patients' knowledge, motivation, and ability to use health information. Patients with longer disease duration, education, or good lifestyle habits had optimal HbA1c management than those in patients who did not. Thus, effective self-management and precaution in daily life and improved health literacy of diabetic patients are necessary to increase the quality of T2DM care.
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Affiliation(s)
- Ya-Chun Wang
- Nutrition and Food Service Department, Kaohsiung Veterans General Hospital, Kaohsiung City 81362, Taiwan (ROC).,Department of Food Science and Nutrition, Meiho University, Pingtung 91202, Taiwan (ROC)
| | - Chi Wang
- Department of Nursing, Kaohsiung Veterans General Hospital, Kaohsiung City 81362, Taiwan (ROC)
| | - Ping-Wen Shih
- Nutrition and Food Service Department, Kaohsiung Veterans General Hospital, Kaohsiung City 81362, Taiwan (ROC)
| | - Pei-Ling Tang
- Research Center of Medical Informatics, Kaohsiung Veterans General Hospital, Kaohsiung City 81362, Taiwan (ROC).,Department of Health-Business Administration, Fooyin University, Kaohsiung City 83102, Taiwan (ROC).,College of Nursing, Kaohsiung Medical University, Kaohsiung City 80708, Taiwan (ROC)
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Sadeghi E, Hosseini SM, Vossoughi M, Aminorroaya A, Amini M. Association of Lipid Profile with Type 2 Diabetes in First-Degree Relatives: A 14-Year Follow-Up Study in Iran. Diabetes Metab Syndr Obes 2020; 13:2743-2750. [PMID: 32801820 PMCID: PMC7415448 DOI: 10.2147/dmso.s259697] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/24/2020] [Accepted: 07/08/2020] [Indexed: 12/23/2022] Open
Abstract
PURPOSE Dyslipidemia is claimed to be associated with an increased risk of type 2 diabetes mellitus (T2DM). However, first-degree relatives (FDRs) of patients with T2DM are reported to be at higher risk. The aim of this study was to evaluate the association between serum lipid profile and T2DM incidence in FDRs. PATIENTS AND METHODS Information on 1222 T2DM FDRs during 14 years of follow-up was retrieved. All individuals were examined for diabetes status and dyslipidemia once a year. We used a Bayesian joint longitudinal-survival model to assess the association. RESULTS Our data showed that a 10 mg/dL increase in triglycerides (TG), very-low-density lipoprotein (VLDL), and non-high-density lipoprotein (non-HDL) cholesterol levels during the follow-up period was associated with an increased risk of diabetes by 5%, 29%, and 6.6%, respectively. Moreover, for every one-unit increase in the TG to HDL ratio, the T2DM incidence increased by 35%. Subgroup analysis also showed that the increased risk of diabetes was significant only in female FDRs, so that a 10 mg/dL increase in TG and VLDL cholesterol level and a one-unit increase in TG to HDL ratio in female FDRs resulted in an increased risk of diabetes by 7.8%, 46%, and 64%, respectively. However, analysis of HDL, low-density lipoprotein (LDL), total cholesterol (TC), TC to HDL, and LDL to HDL cholesterol levels/ratios did not find any statistically significant associations. CONCLUSION Increases in TG, VLDL, non-HDL cholesterol level, and TG to HDL ratio are associated with an increased risk of T2DM in FDRs, especially in female FDRs.
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Affiliation(s)
- Erfan Sadeghi
- Department of Epidemiology and Biostatistics, School of Health, Isfahan University of Medical Sciences, Isfahan, Iran
- Student Research Committee, School of Health, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Sayed Mohsen Hosseini
- Department of Epidemiology and Biostatistics, School of Health, Isfahan University of Medical Sciences, Isfahan, Iran
- Correspondence: Sayed Mohsen Hosseini Department of Epidemiology and Biostatistics, School of Health, Isfahan University of Medical Sciences, Isfahan81746-73461, IranTel +98 313 792 3251Fax +98 311 668 2509 Email
| | - Mehrdad Vossoughi
- Oral and Dental Disease Research Center, Department of Dental Public Health, School of Dentistry, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Ashraf Aminorroaya
- Isfahan Endocrine and Metabolism Research Center, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Massoud Amini
- Isfahan Endocrine and Metabolism Research Center, Isfahan University of Medical Sciences, Isfahan, Iran
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Zhao J, Zhang Y, Wei F, Song J, Cao Z, Chen C, Zhang K, Feng S, Wang Y, Li WD. Triglyceride is an independent predictor of type 2 diabetes among middle-aged and older adults: a prospective study with 8-year follow-ups in two cohorts. J Transl Med 2019; 17:403. [PMID: 31801571 PMCID: PMC6894231 DOI: 10.1186/s12967-019-02156-3] [Citation(s) in RCA: 42] [Impact Index Per Article: 8.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2019] [Accepted: 11/25/2019] [Indexed: 12/17/2022] Open
Abstract
Background Although there is abundant evidence indicating the connection between triglyceride and type 2 diabetes mellitus (T2DM), few reports or cohort studies confirm that high TG concentration may predict the incidence of T2DM independently. Thus, we studied the association between triglyceride (TG) and T2DM in a male-dominated, middle and older aged cohort, Tianjin General Hospital Cohort. And we further verified our results in the China Health and Retirement Longitudinal Study (CHARLS). Methods We conducted an 8-year retrospective cohort study (2009–2017) with 7241 participants who were free from T2DM at baseline. Three groups were constructed based on baseline TG levels (normal, borderline-high, and high). We used a Cox proportional hazards model to evaluate the relationship between TG and T2DM after adjusting for possible risk factors. A Kaplan–Meier survival analysis was performed to compare the incidence of T2DM among subjects in each TG group. We also tested the association between TG and T2DM in the CHARLS cohort. Results In Tianjin General Hospital Cohort, 7241 participants (male 75.8%, female 24.2%) were included, mean age was 61.49 ± 13.85 years at baseline. The cumulative incidence of T2DM in our cohort study was 8.6% (9.2% in men and 6.6% in women). Compared with the normal TG group, the hazard ratios in the borderline and high group were 1.30 (95% CI 1.04–1.62) and 1.54 (95% CI 1.24–1.90). The Kaplan–Meier survival analysis indicated that higher TG levels may predict higher onset of T2DM. These results were verified in the CHARLS cohort, the hazard ratio with T2DM (95% CI) for logTG was 3.94 (2.64–5.87). Conclusions Our findings suggest that the TG level may be an independent risk factor and predictor for T2DM.
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Affiliation(s)
- Jing Zhao
- Department of Genetics, College of Basic Medical Sciences, Tianjin Medical University, 22 Qixiangtai Road, Heping District, Tianjin, 300070, People's Republic of China
| | - Yuan Zhang
- Department of Genetics, College of Basic Medical Sciences, Tianjin Medical University, 22 Qixiangtai Road, Heping District, Tianjin, 300070, People's Republic of China
| | - Fengjiang Wei
- Department of Genetics, College of Basic Medical Sciences, Tianjin Medical University, 22 Qixiangtai Road, Heping District, Tianjin, 300070, People's Republic of China
| | - Jiani Song
- Department of Genetics, College of Basic Medical Sciences, Tianjin Medical University, 22 Qixiangtai Road, Heping District, Tianjin, 300070, People's Republic of China
| | - Zhi Cao
- College of Public Health, Tianjin Medical University, 22 Qixiangtai Road, Heping District, Tianjin, 300070, People's Republic of China
| | - Chen Chen
- Tianjin General Hospital, Tianjin Medical University, 154 Anshan Road, Tianjin, 300052, People's Republic of China
| | - Kai Zhang
- Tianjin General Hospital, Tianjin Medical University, 154 Anshan Road, Tianjin, 300052, People's Republic of China
| | - Shuzhi Feng
- Tianjin General Hospital, Tianjin Medical University, 154 Anshan Road, Tianjin, 300052, People's Republic of China.
| | - Yaogang Wang
- College of Public Health, Tianjin Medical University, 22 Qixiangtai Road, Heping District, Tianjin, 300070, People's Republic of China.
| | - Wei-Dong Li
- Department of Genetics, College of Basic Medical Sciences, Tianjin Medical University, 22 Qixiangtai Road, Heping District, Tianjin, 300070, People's Republic of China.
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Chakraborty M, Gouroju S, Singh P, Thatkar PV, Bagchi D. Tracking lipid profile and atherogenic indices in the prediabetics of Andaman Nicobar Islands: A retrospective hospital-based study. J Family Med Prim Care 2019; 8:1117-1122. [PMID: 31041260 PMCID: PMC6482723 DOI: 10.4103/jfmpc.jfmpc_332_18] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022] Open
Abstract
CONTEXT Cardio vascular disease (CVD) is the leading cause of mortality and morbidity in diabetes mellitus (DM) contributing to 65% of all deaths with diabetic complications. The most important cause of CVD is atherosclerosis, and dyslipidemia acts as a marker of developing atherosclerosis. The derangement of lipid profile and atherogenic indices start in the prediabetic state, much before the development of DM. Detection of the deranged lipid profile and atherogenic indices in the prediabetic state can help devise the aggressive treatment strategy right from this stage, so as to arrest the development of CVD as a complication of diabetes. AIMS To compare the lipid profile and atherogenic indices of prediabetics with controls and diabetics. SETTINGS AND DESIGN The electronic medical records of 239 subjects were reviewed retrospectively. MATERIALS AND METHODS About 187 cases consisting of 137 diabetics and 50 prediabetics were evaluated for serum fasting blood sugar, post prandial blood sugar, HbA1c, total cholesterol (TC), triglycerides (TGs), high-density lipoprotein cholesterol (HDLc), and low-density lipoprotein cholesterol (LDLc). Atherogenic indices [TC/HDLc, LDLc/HDLc, (TC-HDLc)/HDLc, TG/HDLc] were also evaluated in the two groups. Rest 52 age- and sex-matched subjects were taken as controls. STATISTICAL ANALYSIS USED The comparisons were evaluated using SPSS statistical package version 20. RESULTS TC, TG, LDLc, and the atherogenic indices were significantly increased in prediabetics as compared with controls. HDLc was significantly decreased in prediabetics. CONCLUSIONS The altered lipid profile and atherogenic indices in prediabetics signify the increased susceptibility of prediabetics to CVD in the long run. Hence, we recommend screening of prediabetics for dyslipidemia to arrest the development of cardiovascular complications.
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Affiliation(s)
- Montosh Chakraborty
- Department of Biochemistry, AIIMS, Mangalagiri, Guntur, Andhra Pradesh, India
| | - Shivakrishna Gouroju
- Department of Biochemistry, Andaman and Nicobar Islands Institute of Medical Sciences, Port Blair, India
| | - Prerna Singh
- Department of Biochemistry, Andaman and Nicobar Islands Institute of Medical Sciences, Port Blair, India
| | - Pandurang V. Thatkar
- Department of Community Medicine, Andaman and Nicobar Islands Institute of Medical Sciences, Port Blair, India
| | - Debajit Bagchi
- Department of Biochemistry, Andaman and Nicobar Islands Institute of Medical Sciences, Port Blair, India
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