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Zhong Y, Lan M, Chen H, Chen Y, Zhang Y. Comparative efficacy and acceptability of different exercise patterns for reducing cardiovascular events in pre-diabetes: protocol for a systematic review and network meta-analysis of randomised controlled trials. BMJ Open 2024; 14:e075783. [PMID: 38719281 PMCID: PMC11086503 DOI: 10.1136/bmjopen-2023-075783] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/24/2023] [Accepted: 03/26/2024] [Indexed: 05/12/2024] Open
Abstract
INTRODUCTION Exercise has been used to reverse dysglycaemic states in patients with pre-diabetes. Systematic reviews show that exercise is an effective way to reduce the incidence of diabetes, but there is conflicting evidence for reducing the occurrence of cardiovascular events. Therefore, we present a systematic review and network meta-analysis protocol designed to compare the effectiveness of different forms of exercise in reducing cardiovascular events and their tolerability in different populations. METHODS AND ANALYSIS We will include all randomised controlled trials and compare one exercise intervention to another. We will compare the following exercise patterns: standard endurance training, strength training, high-intensity interval training, mind-body exercise, and mixed strength and aerobic training. The primary outcomes are the occurrence of major cardiovascular events and the rate of patient attrition during the intervention. We will search major English and Chinese databases as well as trial registry websites for published and unpublished studies. All reference selection and data extraction will be conducted by at least two independent reviewers. We will conduct a random effects model to combine effect sizes and use the surface under the cumulative ranking curve and the mean ranks to rank the effectiveness of interventions. All data will be fitted at WinBUGS in a Bayesian framework and correlation graphs will be plotted using StataSE 14. We will also use the Grading of Recommendations, Assessment, Development and Evaluation (GRADE) framework to evaluate the quality of evidence for the study results. ETHICS AND DISSEMINATION This study does not involve a population-based intervention, and therefore, does not require ethical approval. We will publish the findings of this systematic review in a peer-reviewed scientific journal, and the dataset will be made available free of charge. The completed review will be disseminated electronically in print and on social media, where appropriate. PROSPERO REGISTRATION NUMBER CRD42023422737.
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Affiliation(s)
- Yumei Zhong
- Zhejiang University School of Medicine Second Affiliated Hospital, Hangzhou, Zhejiang, China
| | - Meijuan Lan
- Zhejiang University School of Medicine Second Affiliated Hospital, Hangzhou, Zhejiang, China
| | - Haotian Chen
- Zhejiang University School of Medicine Second Affiliated Hospital, Hangzhou, Zhejiang, China
| | - Yuanyuan Chen
- Neurology Department, Zhejiang University School of Medicine Second Affiliated Hospital, Hangzhou, Zhejiang, China
| | - Yuping Zhang
- Zhejiang University School of Medicine Second Affiliated Hospital, Hangzhou, Zhejiang, China
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Yanai H, Adachi H, Hakoshima M, Katsuyama H. Postprandial Hyperlipidemia: Its Pathophysiology, Diagnosis, Atherogenesis, and Treatments. Int J Mol Sci 2023; 24:13942. [PMID: 37762244 PMCID: PMC10530470 DOI: 10.3390/ijms241813942] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2023] [Revised: 09/06/2023] [Accepted: 09/06/2023] [Indexed: 09/29/2023] Open
Abstract
Postprandial hyperlipidemia showing postprandial increases in serum triglyceride (TG) is associated with the development of atherosclerotic cardiovascular disease (ASCVD). To diagnose postprandial hyperlipidemia, the oral fat loading test (OFLT) should be performed; however, this test is very time-consuming and is difficult to perform. Elevated serum TG levels reflect an increase in TG-rich lipoproteins (TRLs), such as chylomicrons (CM), very low-density lipoproteins (VLDL), and their remnants (CM remnants [CMRs] and VLDL remnants [VLDLRs]). Understanding of elevation in CMR and/or VLDLR can lead us to understand the existence of postprandial hyperlipidemia. The measurement of apo B48, which is a constituent of CM and CMR; non-fasting TG, which includes TG content in all lipoproteins including CM and CMR; non-high-density lipoprotein cholesterol (non-HDL-C), which includes TRLs and low-density lipoprotein; and remnant cholesterol are useful to reveal the existence of postprandial hyperlipidemia. Postprandial hyperlipidemia is observed in patients with familial type III hyperlipoproteinemia, familial combined hyperlipidemia, chronic kidney disease, metabolic syndrome and type 2 diabetes. Postprandial hyperlipidemia is closely related to postprandial hyperglycemia, and insulin resistance may be an inducing and enhancing factor for both postprandial hyperlipidemia and postprandial hyperglycemia. Remnant lipoproteins and metabolic disorders associated with postprandial hyperlipidemia have various atherogenic properties such as induction of inflammation and endothelial dysfunction. A healthy diet, calorie restriction, weight loss, and exercise positively impact postprandial hyperlipidemia. Anti-hyperlipidemic drugs such pemafibrate, fenofibrate, bezafibrate, ezetimibe, and eicosapentaenoic acid have been shown to improve postprandial hyperlipidemia. Anti-diabetic drugs including metformin, alpha-glucosidase inhibitors, pioglitazone, dipeptidyl-peptidase-4 inhibitors and glucagon-like peptide 1 analogues have been shown to ameliorate postprandial hyperlipidemia. Although sodium glucose cotransporter-2 inhibitors have not been proven to reduce postprandial hyperlipidemia, they reduced fasting apo B48 and remnant lipoprotein cholesterol. In conclusion, it is important to appropriately understand the existence of postprandial hyperlipidemia and to connect it to optimal treatments. However, there are some problems with the diagnosis for postprandial hyperlipidemia. Postprandial hyperlipidemia cannot be specifically defined by measures such as TG levels 2 h after a meal. To study interventions for postprandial hyperlipidemia with the outcome of preventing the onset of ASCVD, it is necessary to define postprandial hyperlipidemia using reference values such as IGT.
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Affiliation(s)
- Hidekatsu Yanai
- Department of Diabetes, Endocrinology and Metabolism, National Center for Global Health and Medicine, Kohnodai Hospital, 1-7-1 Kohnodai, Ichikawa 272-8516, Chiba, Japan; (H.A.); (M.H.); (H.K.)
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You L, Hong X, Feng Q, Sun K, Lin D, Huang C, Chen C, Wang C, Lao G, Xue S, Tang J, Li N, Qi Y, Feng W, Li F, Yang C, Xu M, Li Y, Yan L, Ren M. Glucose Metabolism Indices and the Development of Chronic Kidney Disease: A Cohort Study of Middle-Aged and Elderly Chinese Persons. Int J Endocrinol 2023; 2023:1412424. [PMID: 37564380 PMCID: PMC10412357 DOI: 10.1155/2023/1412424] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/05/2023] [Revised: 06/28/2023] [Accepted: 06/29/2023] [Indexed: 08/12/2023] Open
Abstract
Objective Chronic kidney disease (CKD) has become a major global health issue, and abnormalities of glucose metabolism are a risk factor responsible for development of CKD. We aimed to investigate associations between glucose metabolism indices and CKD in a Chinese population and determine which index is superior for predicting incident CKD. Methods We performed a community-based population on 5232 subjects aged ≥40 years without baseline CKD. CKD was defined as an estimated glomerular filtration rate (eGFR) < 60 mL/min/1.73 m2 or urinary albumin-to-creatinine ratio (UACR) ≥30 mg/g. We examined the associations of glucose metabolism indices, including fasting plasma glucose (FPG), 2-hour (2 h) oral glucose tolerance test (OGTT), hemoglobin A1c (HbA1c), fasting insulin level, homeostasis model assessment of insulin resistance (HOMA-IR), and HOMA-β and the development of CKD. Results With an average follow-up of 3.6 years, 6.4% of the subjects developed CKD. Pearson's correlation analysis revealed that FPG, HbA1c, fasting insulin, and HOMA-IR were all significantly correlated with UACR and eGFR. The association persisted in multivariate linear regression analysis adjusted for age and sex. Compared with other glucose indices, HOMA-IR exhibited the strongest associations with CKD in COX multivariate regression analysis (HR = 1.17, 95% CI: 1.04-1.31). Conclusion HOMA-IR is superior to other routine indices of glucose metabolism for predicting the development of CKD in middle-aged Chinese persons. Screening with HOMA-IR may help prevent the development of CKD in the general population.
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Affiliation(s)
- Lili You
- Department of Endocrinology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, 107 Yanjiang West Road, Guangzhou 510120, China
- Guang Dong Clinical Research Center for Metabolic Diseases, 107 Yanjiang West Road, Guangzhou 510120, China
| | - Xiaosi Hong
- Department of Endocrinology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, 107 Yanjiang West Road, Guangzhou 510120, China
- Guang Dong Clinical Research Center for Metabolic Diseases, 107 Yanjiang West Road, Guangzhou 510120, China
| | - Qiling Feng
- Department of Endocrinology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, 107 Yanjiang West Road, Guangzhou 510120, China
- Guang Dong Clinical Research Center for Metabolic Diseases, 107 Yanjiang West Road, Guangzhou 510120, China
| | - Kan Sun
- Department of Endocrinology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, 107 Yanjiang West Road, Guangzhou 510120, China
- Guang Dong Clinical Research Center for Metabolic Diseases, 107 Yanjiang West Road, Guangzhou 510120, China
| | - Diaozhu Lin
- Department of Endocrinology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, 107 Yanjiang West Road, Guangzhou 510120, China
- Guang Dong Clinical Research Center for Metabolic Diseases, 107 Yanjiang West Road, Guangzhou 510120, China
| | - Chulin Huang
- Department of Endocrinology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, 107 Yanjiang West Road, Guangzhou 510120, China
- Guang Dong Clinical Research Center for Metabolic Diseases, 107 Yanjiang West Road, Guangzhou 510120, China
| | - Chaogang Chen
- Department of Clinical Nutrition, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, 107 Yanjiang West Road, Guangzhou 510120, China
| | - Chuan Wang
- Department of Endocrinology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, 107 Yanjiang West Road, Guangzhou 510120, China
- Guang Dong Clinical Research Center for Metabolic Diseases, 107 Yanjiang West Road, Guangzhou 510120, China
| | - Guojuan Lao
- Department of Endocrinology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, 107 Yanjiang West Road, Guangzhou 510120, China
- Guang Dong Clinical Research Center for Metabolic Diseases, 107 Yanjiang West Road, Guangzhou 510120, China
| | - Shengneng Xue
- Department of Endocrinology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, 107 Yanjiang West Road, Guangzhou 510120, China
- Guang Dong Clinical Research Center for Metabolic Diseases, 107 Yanjiang West Road, Guangzhou 510120, China
| | - Juying Tang
- Department of Endocrinology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, 107 Yanjiang West Road, Guangzhou 510120, China
- Guang Dong Clinical Research Center for Metabolic Diseases, 107 Yanjiang West Road, Guangzhou 510120, China
| | - Na Li
- Department of Endocrinology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, 107 Yanjiang West Road, Guangzhou 510120, China
- Guang Dong Clinical Research Center for Metabolic Diseases, 107 Yanjiang West Road, Guangzhou 510120, China
| | - Yiqin Qi
- Department of Endocrinology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, 107 Yanjiang West Road, Guangzhou 510120, China
- Guang Dong Clinical Research Center for Metabolic Diseases, 107 Yanjiang West Road, Guangzhou 510120, China
| | - Wanting Feng
- Department of Endocrinology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, 107 Yanjiang West Road, Guangzhou 510120, China
- Guang Dong Clinical Research Center for Metabolic Diseases, 107 Yanjiang West Road, Guangzhou 510120, China
| | - Feng Li
- Department of Endocrinology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, 107 Yanjiang West Road, Guangzhou 510120, China
- Guang Dong Clinical Research Center for Metabolic Diseases, 107 Yanjiang West Road, Guangzhou 510120, China
| | - Chuan Yang
- Department of Endocrinology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, 107 Yanjiang West Road, Guangzhou 510120, China
- Guang Dong Clinical Research Center for Metabolic Diseases, 107 Yanjiang West Road, Guangzhou 510120, China
| | - Mingtong Xu
- Department of Endocrinology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, 107 Yanjiang West Road, Guangzhou 510120, China
- Guang Dong Clinical Research Center for Metabolic Diseases, 107 Yanjiang West Road, Guangzhou 510120, China
| | - Yan Li
- Department of Endocrinology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, 107 Yanjiang West Road, Guangzhou 510120, China
- Guang Dong Clinical Research Center for Metabolic Diseases, 107 Yanjiang West Road, Guangzhou 510120, China
| | - Li Yan
- Department of Endocrinology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, 107 Yanjiang West Road, Guangzhou 510120, China
- Guang Dong Clinical Research Center for Metabolic Diseases, 107 Yanjiang West Road, Guangzhou 510120, China
| | - Meng Ren
- Department of Endocrinology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, 107 Yanjiang West Road, Guangzhou 510120, China
- Guang Dong Clinical Research Center for Metabolic Diseases, 107 Yanjiang West Road, Guangzhou 510120, China
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Yu D, Wang Z, Cai Y, Osuagwu UL, Pickering K, Baker J, Cutfield R, Orr-Walker BJ, Sundborn G, Jayanatha K, Zhao Z, Simmons D. Ethnic differences in 25-year risk of incident chronic kidney disease among people with type 2 diabetes in New Zealand. BMJ Open Diabetes Res Care 2022; 10:e003077. [PMID: 36521879 PMCID: PMC9756147 DOI: 10.1136/bmjdrc-2022-003077] [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: 08/07/2022] [Accepted: 10/14/2022] [Indexed: 12/23/2022] Open
Abstract
INTRODUCTION Insights into ethnic differences in the natural history of chronic kidney disease (CKD) among people with type 2 diabetes mellitus (T2DM) might inform clinical strategies to address disparities in hospitalization and mortality. Risks of CKD II-V stages over a 25-year period between New Zealand Europeans (NZEs), Māori and Pasifika, and with T2DM in Auckland, New Zealand (NZ) were compared. RESEARCH DESIGN AND METHODS As a primary care audit program in Auckland, the Diabetes Care Support Service was linked with national registration databases. People with existing CKD II-V were ruled out. To balance potential confounders, we applied a tapered matching method . 'Quasi-trial'-matched cohorts were set up separately between Māori and NZE and between Pasifika and NZE. Ethnic population differences in risk of any and each stage of CKD over 1994-2018 were examined by weighted Cox regression model. RESULTS The HRs for developing any CKD, CKD stages II-V for Māori (n=2215) versus NZE (n=2028) were 1.18 (95% CI 0.99 to 1.41), 1.10 (95% CI 0.91 to 1.32), 1.70 (95% CI 1.19 to 2.43), 3.93 (95% CI 2.16 to 7.14), and 3.74 (95% CI 1.74 to 8.05), respectively. Compared with NZE (n=2474), the HRs for developing any CKD, CKD stages II-V for Pasifika (n=3101) were 1.31 (95% CI 1.09 to 1.57), 1.26 (95% CI 1.05 to 1.52), 1.71 (95% CI 1.14 to 2.57), 3.75 (95% CI 1.40 to 10.05), and 4.96 (95% CI 1.56 to 15.75), respectively. CONCLUSIONS Among people with T2DM in NZ, significant ethnic differences exist in the risk of progressing to each stage of CKD (stage V in particular). Mechanism studies underlying these differences, as well as the need for identification of biomarkers to predict the early onset renal lesion, are warranted.
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Affiliation(s)
- Dahai Yu
- Department of Nephrology, the First Affiliated Hospital, Zhengzhou University, Zhengzhou, People's Republic of China
- Primary Care Centre Versus Arthritis, School of Medicine, Keele University, Keele, UK
| | - Zheng Wang
- Department of Nephrology, the First Affiliated Hospital, Zhengzhou University, Zhengzhou, People's Republic of China
| | - Yamei Cai
- Department of Nephrology, the First Affiliated Hospital, Zhengzhou University, Zhengzhou, People's Republic of China
| | | | | | - John Baker
- Diabetes Foundation Aotearoa, Otara, New Zealand
- Department of Diabetes and Endocrinology, Counties Manukau Health, Auckland, New Zealand
| | - Richard Cutfield
- Diabetes Foundation Aotearoa, Otara, New Zealand
- Department of Diabetes and Endocrinology, Waitemata District Health Board, Auckland, New Zealand
| | - Brandon J Orr-Walker
- Diabetes Foundation Aotearoa, Otara, New Zealand
- Department of Diabetes and Endocrinology, Counties Manukau Health, Auckland, New Zealand
| | - Gerhard Sundborn
- Section of Pacific Health, the University of Auckland, Auckland, New Zealand
| | - Kalpa Jayanatha
- Department of Renal Medicine, Counties Manukau Health, Auckland, New Zealand
- Faculty of Medical and Health Sciences, the University of Auckland, Auckland, New Zealand
| | - Zhanzheng Zhao
- Department of Nephrology, the First Affiliated Hospital, Zhengzhou University, Zhengzhou, People's Republic of China
| | - David Simmons
- Department of Nephrology, the First Affiliated Hospital, Zhengzhou University, Zhengzhou, People's Republic of China
- School of Medicine, Western Sydney University, Sydney, New South Wales, Australia
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Kumarendran B, O'Reilly MW, Subramanian A, Šumilo D, Toulis K, Gokhale KM, Wijeratne CN, Coomarasamy A, Tahrani AA, Azoulay L, Arlt W, Nirantharakumar K. Polycystic Ovary Syndrome, Combined Oral Contraceptives, and the Risk of Dysglycemia: A Population-Based Cohort Study With a Nested Pharmacoepidemiological Case-Control Study. Diabetes Care 2021; 44:2758-2766. [PMID: 34649997 PMCID: PMC8669537 DOI: 10.2337/dc21-0437] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/22/2021] [Accepted: 09/08/2021] [Indexed: 02/03/2023]
Abstract
OBJECTIVE Irregular menstrual cycles are associated with increased cardiovascular mortality. Polycystic ovary syndrome (PCOS) is characterized by androgen excess and irregular menses; androgens are drivers of increased metabolic risk in women with PCOS. Combined oral contraceptive pills (COCPs) are used in PCOS both for cycle regulation and to reduce the biologically active androgen fraction. We examined COCP use and risk of dysglycemia (prediabetes and type 2 diabetes) in women with PCOS. RESEARCH DESIGN AND METHODS Using a large U.K. primary care database (The Health Improvement Network [THIN]; 3.7 million patients from 787 practices), we carried out a retrospective population-based cohort study to determine dysglycemia risk (64,051 women with PCOS and 123,545 matched control subjects), as well as a nested pharmacoepidemiological case-control study to investigate COCP use in relation to dysglycemia risk (2,407 women with PCOS with [case subjects] and without [control subjects] a diagnosis of dysglycemia during follow-up). Cox models were used to estimate the unadjusted and adjusted hazard ratio, and conditional logistic regression was used to obtain adjusted odds ratios (aORs). RESULTS The adjusted hazard ratio for dysglycemia in women with PCOS was 1.87 (95% CI 1.78-1.97, P < 0.001; adjustment for age, social deprivation, BMI, ethnicity, and smoking), with increased rates of dysglycemia in all BMI subgroups. Women with PCOS and COCP use had a reduced dysglycemia risk (aOR 0.72, 95% CI 0.59-0.87). CONCLUSIONS In this study, limited by its retrospective nature and the use of routinely collected electronic general practice record data, which does not allow for exclusion of the impact of prescription-by-indication bias, women with PCOS exposed to COCPs had a reduced risk of dysglycemia across all BMI subgroups. Future prospective studies should be considered for further understanding of these observations and potential causality.
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Affiliation(s)
- Balachandran Kumarendran
- Institute of Applied Health Research, University of Birmingham, Edgbaston, Birmingham, U.K
- Department of Community and Family Medicine, Faculty of Medicine, University of Jaffna, Kokkuvil, Sri Lanka
| | - Michael W O'Reilly
- Department of Medicine, Royal College of Surgeons in Ireland, University of Medicine and Health Sciences, Dublin, Republic of Ireland
- Institute of Metabolism and Systems Research, University of Birmingham, Birmingham, U.K
| | - Anuradhaa Subramanian
- Institute of Applied Health Research, University of Birmingham, Edgbaston, Birmingham, U.K
| | - Dana Šumilo
- Institute of Applied Health Research, University of Birmingham, Edgbaston, Birmingham, U.K
| | - Konstantinos Toulis
- Institute of Applied Health Research, University of Birmingham, Edgbaston, Birmingham, U.K
| | - Krishna M Gokhale
- Institute of Applied Health Research, University of Birmingham, Edgbaston, Birmingham, U.K
| | - Chandrika N Wijeratne
- Department of Obstetrics and Gynecology, Faculty of Medicine, University of Colombo, Colombo, Sri Lanka
| | - Arri Coomarasamy
- Institute of Metabolism and Systems Research, University of Birmingham, Birmingham, U.K
| | - Abd A Tahrani
- Institute of Metabolism and Systems Research, University of Birmingham, Birmingham, U.K
| | - Laurent Azoulay
- Department of Epidemiology, Biostatistics and Occupational Health and Gerald Bronfman Department of Oncology, McGill University, Toronto, Canada
| | - Wiebke Arlt
- Institute of Metabolism and Systems Research, University of Birmingham, Birmingham, U.K.
- NIHR Birmingham Biomedical Research Centre, University of Birmingham and University Hospitals Birmingham NHS Foundation Trust, Birmingham, U.K
| | - Krishnarajah Nirantharakumar
- Institute of Applied Health Research, University of Birmingham, Edgbaston, Birmingham, U.K.
- Institute of Metabolism and Systems Research, University of Birmingham, Birmingham, U.K
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Furukawa M, Onoue T, Kato K, Wada T, Shinohara Y, Kinoshita F, Goto M, Arima H, Tsushita K. Prediabetes is associated with proteinuria development but not with glomerular filtration rate decline: A longitudinal observational study. Diabet Med 2021; 38:e14607. [PMID: 34031914 PMCID: PMC8361992 DOI: 10.1111/dme.14607] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/14/2020] [Accepted: 05/21/2021] [Indexed: 01/01/2023]
Abstract
AIMS Diabetes is recognized as the leading cause of chronic kidney disease (CKD); however, the association of prediabetes with CKD remains unclear, in particular, the independent effect of prediabetes on proteinuria or estimated glomerular filtration rate (eGFR) has not been evaluated. This study aimed to investigate the associations of prediabetes with the proteinuria development and with eGFR decline separately in the Japanese general population without CKD. METHODS Participants who underwent health check-ups in 2014 and had adequate data after 2 years were retrospectively analysed. A total of 405,487 participants without CKD (eGFR, ≥60 ml min-1 1.73 m-2 , with negative or trace urinary protein) at baseline were categorized according to fasting plasma glucose as having diabetes (≥126 mg/dl [7.0 mmol/l]), prediabetes (100-125 mg/dl [5.6-6.9 mmol/l]) or normal glucose level (˂100 mg/dl [5.6 mmol/l]). Logistic regression analysis was used to analyse the effects of prediabetes (vs. normal glucose level) on the proteinuria development (urinary protein of ≥1+) and eGFR decline (˂60 ml min-1 1.73 m-2 ) after 2 years. RESULTS After 2 years, 7037 participants (1.7%) developed proteinuria alone, 19,015 (4.7%) presented eGFR decline alone and 636 (0.2%) showed both proteinuria and eGFR decline. Compared to normal glucose level and adjusting for prognostic factors, prediabetes was independently associated with the proteinuria development (odds ratio [OR] 1.233; 95% confidence interval [CI] 1.170-1.301], whereas prediabetes was not associated with eGFR decline (OR 0.981; 95% CI 0.947-1.017). CONCLUSIONS Prediabetes is associated with the proteinuria development but not with eGFR decline in the general population.
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Affiliation(s)
- Mariko Furukawa
- Department of Endocrinology and DiabetesNagoya University Graduate School of MedicineNagoyaJapan
- Comprehensive Health Science CenterAichi Health Promotion Public Interest FoundationAichiJapan
| | - Takeshi Onoue
- Department of Endocrinology and DiabetesNagoya University Graduate School of MedicineNagoyaJapan
| | - Kiminori Kato
- Department of Prevention of Noncommunicable Diseases and Promotion of Health Checkup, Graduate School of Medical and Dental SciencesNiigata UniversityNiigataJapan
| | - Takashi Wada
- Health ScienceJikei University Graduate School of MedicineTokyoJapan
| | | | - Fumie Kinoshita
- Department of Advanced MedicineNagoya University HospitalNagoyaJapan
| | - Motomitsu Goto
- Department of Endocrinology and DiabetesNagoya University Graduate School of MedicineNagoyaJapan
| | - Hiroshi Arima
- Department of Endocrinology and DiabetesNagoya University Graduate School of MedicineNagoyaJapan
| | - Kazuyo Tsushita
- Comprehensive Health Science CenterAichi Health Promotion Public Interest FoundationAichiJapan
- Graduate Schools of Nutrition SciencesKagawa Nutrition UniversitySaitamaJapan
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Liu R, Guan S, Gao Z, Wang J, Xu J, Hao Z, Zhang Y, Yang S, Guo Z, Yang J, Shao H, Chang B. Pathological Hyperinsulinemia and Hyperglycemia in the Impaired Glucose Tolerance Stage Mediate Endothelial Dysfunction Through miR-21, PTEN/AKT/eNOS, and MARK/ET-1 Pathways. Front Endocrinol (Lausanne) 2021; 12:644159. [PMID: 33967958 PMCID: PMC8104127 DOI: 10.3389/fendo.2021.644159] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/20/2020] [Accepted: 04/06/2021] [Indexed: 01/13/2023] Open
Abstract
BACKGROUND Impaired glucose tolerance (IGT) is an important prediabetic stage characterized by elevated concentrations of glucose and insulin in the blood. The pathological hyperglycemia and hyperinsulinemia in IGT may regulate the expression of microRNA-21 (miR-21) and affect the downstream insulin signaling pathways, leading to endothelial cell dysfunction and early renal damage. METHODS The individual and combined effects of insulin and glucose were investigated using human glomerular endothelial cells (HGECs). The expression levels of miR-21, and PTEN/AKT/eNOS and MAPK/ET-1 pathway proteins in the treated cells were measured. The levels of nitric oxide (NO) and endothelin-1 (ET-1) secreted by the cells were also measured. The role of miR-21 in mediating the regulatory effects of insulin and glucose was assessed by overexpression/inhibition of this miRNA using mimics/inhibitor. RESULTS High (>16.7 mmol/L) concentration of glucose upregulated the expression of miR-21, leading to the activation and inhibition of the PTEN/AKT/eNOS and MAPK/ET-1 pathways, and upregulation of NO and downregulation of ET-1 secretion, respectively. High (>25 ng/mL) concentration of insulin downregulated the expression of miR-21, and lead to the activation of the MAPK/ET-1 and inhibition of the PTEN/AKT/eNOS pathway, thereby upregulating the expression of ET-1 and downregulating the secretion of NO. MiR-21 was observed to play a key role by directly controlling the activation of the insulin signaling pathways when the cells were cotreated with different concentrations of insulin and glucose. The expression of miR-21 was found to be dependent on the relative concentration of insulin and glucose. Under simulated conditions of the IGT stage (8.3 mmol/L glucose + 50 ng/mL insulin), the inhibitory effect of high insulin concentration on miR-21 expression in the cells attenuated the activation by high glucose concentration, resulting in the downregulation of miR-21, upregulation of ET-1 and downregulation of NO secretion. CONCLUSION Taken together, these results indicate that high insulin and glucose concentrations regulate the secretory function of glomerular endothelial cells in opposite ways by regulating the expression of miRNA-21. Pathological concentrations of insulin and glucose in the IGT stage may lead to a decrease in miR-21 expression, thereby disordering the secretion of vasoactive factors, resulting in renal tubule ischemia.
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Affiliation(s)
- Ran Liu
- NHC Key Laboratory of Hormones and Development, Tianjin Key Laboratory of Metabolic Disease, Chu Hsien-I Memorial Hospital & Tianjin Institute of Endocrinology, Tianjin Medical University, Tianjin, China
- Tianjin Fourth Central Hospital, The Fourth Central Hospital Affiliated to Nankai University, The Fourth Central Clinical College, Tianjin Medical University, Tianjin, China
| | - Shilin Guan
- NHC Key Laboratory of Hormones and Development, Tianjin Key Laboratory of Metabolic Disease, Chu Hsien-I Memorial Hospital & Tianjin Institute of Endocrinology, Tianjin Medical University, Tianjin, China
| | - Zhongai Gao
- NHC Key Laboratory of Hormones and Development, Tianjin Key Laboratory of Metabolic Disease, Chu Hsien-I Memorial Hospital & Tianjin Institute of Endocrinology, Tianjin Medical University, Tianjin, China
| | - Jingyu Wang
- NHC Key Laboratory of Hormones and Development, Tianjin Key Laboratory of Metabolic Disease, Chu Hsien-I Memorial Hospital & Tianjin Institute of Endocrinology, Tianjin Medical University, Tianjin, China
| | - Jie Xu
- NHC Key Laboratory of Hormones and Development, Tianjin Key Laboratory of Metabolic Disease, Chu Hsien-I Memorial Hospital & Tianjin Institute of Endocrinology, Tianjin Medical University, Tianjin, China
| | - Zhaohu Hao
- NHC Key Laboratory of Hormones and Development, Tianjin Key Laboratory of Metabolic Disease, Chu Hsien-I Memorial Hospital & Tianjin Institute of Endocrinology, Tianjin Medical University, Tianjin, China
- Tianjin Fourth Central Hospital, The Fourth Central Hospital Affiliated to Nankai University, The Fourth Central Clinical College, Tianjin Medical University, Tianjin, China
| | - Yi Zhang
- NHC Key Laboratory of Hormones and Development, Tianjin Key Laboratory of Metabolic Disease, Chu Hsien-I Memorial Hospital & Tianjin Institute of Endocrinology, Tianjin Medical University, Tianjin, China
| | - Shaohua Yang
- NHC Key Laboratory of Hormones and Development, Tianjin Key Laboratory of Metabolic Disease, Chu Hsien-I Memorial Hospital & Tianjin Institute of Endocrinology, Tianjin Medical University, Tianjin, China
| | - Zhenhong Guo
- NHC Key Laboratory of Hormones and Development, Tianjin Key Laboratory of Metabolic Disease, Chu Hsien-I Memorial Hospital & Tianjin Institute of Endocrinology, Tianjin Medical University, Tianjin, China
| | - Juhong Yang
- NHC Key Laboratory of Hormones and Development, Tianjin Key Laboratory of Metabolic Disease, Chu Hsien-I Memorial Hospital & Tianjin Institute of Endocrinology, Tianjin Medical University, Tianjin, China
| | - Hailin Shao
- Tianjin Fourth Central Hospital, The Fourth Central Hospital Affiliated to Nankai University, The Fourth Central Clinical College, Tianjin Medical University, Tianjin, China
- *Correspondence: Hailin Shao, ; Baocheng Chang,
| | - Baocheng Chang
- NHC Key Laboratory of Hormones and Development, Tianjin Key Laboratory of Metabolic Disease, Chu Hsien-I Memorial Hospital & Tianjin Institute of Endocrinology, Tianjin Medical University, Tianjin, China
- *Correspondence: Hailin Shao, ; Baocheng Chang,
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8
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Baranowska-Jurkun A, Matuszewski W, Bandurska-Stankiewicz E. Chronic Microvascular Complications in Prediabetic States-An Overview. J Clin Med 2020; 9:E3289. [PMID: 33066307 PMCID: PMC7602111 DOI: 10.3390/jcm9103289] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2020] [Revised: 09/01/2020] [Accepted: 09/08/2020] [Indexed: 12/12/2022] Open
Abstract
A prediabetic state is a major risk factor for the development of diabetes, and, because of an identical pathophysiological background of both conditions, their prevalence increases parallelly and equally fast. Long-term hyperglycemia is the main cause inducing chronic complications of diabetes, yet the range of glucose levels at which they start has not been yet unequivocally determined. The current data show that chronic microvascular complications of diabetes can be observed in patients with abnormal glucose metabolism in whom glycaemia is higher than optimal but below diagnostic criteria for diabetes. Prediabetes is a heterogenous nosological unit in which particular types are differently characterized and show different correlations with particular kinds of complications. Analysis of the latest research results shows the need to continue studies in a larger population and can imply the need to verify the currently employed criteria of diagnosing diabetes and chronic complications of diabetes in people with prediabetes.
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Affiliation(s)
- Angelika Baranowska-Jurkun
- Clinic of Endocrinology, Diabetology and Internal Medicine, Department of Internal Medicine, School of Medicine, Collegium Medicum, University of Warmia and Mazury, Żołnierska 18, 10-561 Olsztyn, Poland; (W.M.); (E.B.-S.)
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9
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Gao Z, Wang Z, Zhu H, Yuan X, Sun M, Wang J, Zuo M, Cui X, Han Y, Zhang Y, Yang S, Qin Y, Xu J, Yang J, Chang B. Hyperinsulinemia contributes to impaired-glucose-tolerance-induced renal injury via mir-7977/SIRT3 signaling. Ther Adv Chronic Dis 2020; 11:2040622320916008. [PMID: 32523663 PMCID: PMC7236569 DOI: 10.1177/2040622320916008] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2019] [Accepted: 03/03/2020] [Indexed: 01/23/2023] Open
Abstract
Background: Increasing evidence indicates that impaired glucose tolerance (IGT) is independently associated with chronic kidney disease, but the characteristics and underlying mechanisms remain largely unknown. Methods: Here, the cross-sectional study was performed to study the characteristics of IGT-induced renal injury (IGT-RI). Furthermore, urine microRNA profile was evaluated and microRNAs involved in tubular injury were determined by in-vitro experiments. Results: It was found that 12.1% of IGT patients had microalbuminuria, which we termed “IGT-RI.” Overall, 100% of patients with IGT-RI exhibited reabsorption dysfunction and 58.3% had structural damage in the renal tubules. Two-hour postprandial insulin, retinol-binding protein, and N-acetyl-β-glucosaminidase were significantly associated with microalbuminuria and they were independent risk factors for IGT-RI. The expression of mir-7977 was altered in IGT-RI patients and may be involved in cellular response to oxidative stress. In proximal tubule epithelial cells in vitro, a high level of insulin increased the expression of mir-7977 and decreased that of sirtuin 3 (SIRT3), leading to oxidative stress. Overexpression of mir-7977 further decreased SIRT3 expression, whereas inhibition of mir-7977 had the opposite effect. Furthermore, mir-7977 can bind to the 3′-untranslated region of SIRT3 mRNA and inhibit its expression. Moreover, inhibition of SIRT3 reduced the expression of cubilin and the endocytosis of albumin. Conclusions: In conclusion, IGT-RI mainly manifests as tubular injury, especially reabsorption dysfunction. Compensatory hyperinsulinemia may be involved. A high level of insulin can activate mir-7977/SIRT3 signaling, resulting in tubular injury by inducing oxidative stress as well as reabsorption dysfunction by inhibiting the expression of cubilin, ultimately contributing to IGT-RI.
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Affiliation(s)
- Zhongai Gao
- NHC Key Laboratory of Hormones and Development (Tianjin Medical University), Tianjin Key Laboratory of Metabolic Diseases, Tianjin Medical University Chu Hsien-I Memorial Hospital & Tianjin Institute of Endocrinology, Tianjin, China
| | - Ziyan Wang
- NHC Key Laboratory of Hormones and Development (Tianjin Medical University), Tianjin Key Laboratory of Metabolic Diseases, Tianjin Medical University Chu Hsien-I Memorial Hospital & Tianjin Institute of Endocrinology, Tianjin, China
| | - Hong Zhu
- Department of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University, Tianjin, China
| | - Xinxin Yuan
- NHC Key Laboratory of Hormones and Development (Tianjin Medical University), Tianjin Key Laboratory of Metabolic Diseases, Tianjin Medical University Chu Hsien-I Memorial Hospital & Tianjin Institute of Endocrinology, Tianjin, China
| | - Mengdi Sun
- NHC Key Laboratory of Hormones and Development (Tianjin Medical University), Tianjin Key Laboratory of Metabolic Diseases, Tianjin Medical University Chu Hsien-I Memorial Hospital & Tianjin Institute of Endocrinology, Tianjin, China
| | - Jingyu Wang
- NHC Key Laboratory of Hormones and Development (Tianjin Medical University), Tianjin Key Laboratory of Metabolic Diseases, Tianjin Medical University Chu Hsien-I Memorial Hospital & Tianjin Institute of Endocrinology, Tianjin, China
| | - Minxia Zuo
- NHC Key Laboratory of Hormones and Development (Tianjin Medical University), Tianjin Key Laboratory of Metabolic Diseases, Tianjin Medical University Chu Hsien-I Memorial Hospital & Tianjin Institute of Endocrinology, Tianjin, China
| | - Xiao Cui
- NHC Key Laboratory of Hormones and Development (Tianjin Medical University), Tianjin Key Laboratory of Metabolic Diseases, Tianjin Medical University Chu Hsien-I Memorial Hospital & Tianjin Institute of Endocrinology, Tianjin, China
| | - Ying Han
- Department of Endocrinology, Tianjin Haibin People's Hospital, Tianjin, China
| | - Yi Zhang
- NHC Key Laboratory of Hormones and Development (Tianjin Medical University), Tianjin Key Laboratory of Metabolic Diseases, Tianjin Medical University Chu Hsien-I Memorial Hospital & Tianjin Institute of Endocrinology, Tianjin, China
| | - Shaohua Yang
- NHC Key Laboratory of Hormones and Development (Tianjin Medical University), Tianjin Key Laboratory of Metabolic Diseases, Tianjin Medical University Chu Hsien-I Memorial Hospital & Tianjin Institute of Endocrinology, Tianjin, China
| | - Yongzhang Qin
- NHC Key Laboratory of Hormones and Development (Tianjin Medical University), Tianjin Key Laboratory of Metabolic Diseases, Tianjin Medical University Chu Hsien-I Memorial Hospital & Tianjin Institute of Endocrinology, Tianjin, China
| | - Jie Xu
- NHC Key Laboratory of Hormones and Development (Tianjin Medical University), Tianjin Key Laboratory of Metabolic Diseases, Tianjin Medical University Chu Hsien-I Memorial Hospital & Tianjin Institute of Endocrinology, Tianjin, China
| | - Juhong Yang
- NHC Key Laboratory of Hormones and Development (Tianjin Medical University), Tianjin Key Laboratory of Metabolic Diseases, Tianjin Medical University Chu Hsien-I Memorial Hospital & Tianjin Institute of Endocrinology, Tianjin 300134, China
| | - Baocheng Chang
- NHC Key Laboratory of Hormones and Development (Tianjin Medical University), Tianjin Key Laboratory of Metabolic Diseases, Tianjin Medical University Chu Hsien-I Memorial Hospital & Tianjin Institute of Endocrinology, Tianjin 300134, China
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10
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Li W, Wang A, Jiang J, Liu G, Wang M, Li D, Wen J, Mu Y, Du X, Gaisano H, Dou J, He Y. Risk of chronic kidney disease defined by decreased estimated glomerular filtration rate in individuals with different prediabetic phenotypes: results from a prospective cohort study in China. BMJ Open Diabetes Res Care 2020; 8:e000955. [PMID: 32245825 PMCID: PMC7254103 DOI: 10.1136/bmjdrc-2019-000955] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/04/2019] [Revised: 01/26/2020] [Accepted: 02/26/2020] [Indexed: 12/28/2022] Open
Abstract
OBJECTIVE We aimed to investigate the effects of prediabetes and its phenotypes of impaired fasting glucose (IFG), impaired glucose tolerance (IGT) and elevated glycated hemoglobin A1c (EHbA1c) on chronic kidney disease (CKD) occurrence, and define the cut-off point of each glycemic index that significantly increases the risk of CKD. RESEARCH DESIGN AND METHODS In this prospective cohort study, 6446 non-diabetic subjects aged 40 years and over were followed over a period of 3 years to track the new onset of CKD. Cox regression was used to assess the association of prediabetes and its phenotypes with CKD. Receiver operating characteristic curves were used to define the cut-off point of each glycemic index that significantly increases the occurrence of CKD. Population attributable risk percent was calculated to estimate the contribution of prediabetes to CKD. RESULTS Compared to subjects with normal glucose tolerance, patients with prediabetes significantly increased the risk of development of CKD (HR=2.33 (1.19-4.55)). Specifically, this increased risk of CKD development was observed in patients with IFG, IGT and EHbA1c. The cut-off points shown to significantly increase the risk of CKD are fasting plasma glucose of 5.63 mmol/L, 2-hour plasma glucose of 6.80 mmol/L and HbA1c of 5.6%. The contribution of prediabetes to CKD occurrence in the study population was 60.6%. CONCLUSIONS This result suggests that the stricter criteria might be needed to define normal plasma glucose level in China that would not be predisposed to diabetic complications, particularly CKD.
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Affiliation(s)
- Wei Li
- Department of Epidemiology and Biostatistics, School of Public Health, Capital Medical University, Beijing, China
| | - Anping Wang
- Department of Endocrinology, Chinese PLA General Hospital, Beijing, China
| | - Jiajia Jiang
- Department of Epidemiology and Biostatistics, School of Public Health, Capital Medical University, Beijing, China
| | - Guangxu Liu
- Department of Epidemiology and Biostatistics, School of Public Health, Capital Medical University, Beijing, China
| | - Meiping Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Capital Medical University, Beijing, China
| | - Dongxue Li
- Department of Epidemiology and Biostatistics, School of Public Health, Capital Medical University, Beijing, China
| | - Jing Wen
- Department of Epidemiology and Biostatistics, School of Public Health, Capital Medical University, Beijing, China
| | - Yiming Mu
- Department of Endocrinology, Chinese PLA General Hospital, Beijing, China
| | - Xiaoyan Du
- Department of Laboratory Animal, School of Basic Medical Sciences, Capital Medical University, Beijing, China
| | - Herbert Gaisano
- Departments of Medicine and Physiology, University of Toronto, Toronto, Ontario, Canada
| | - Jingtao Dou
- Department of Endocrinology, Chinese PLA General Hospital, Beijing, China
| | - Yan He
- Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
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11
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Chen C, Liu G, Yu X, Yu Y, Liu G. Association between Prediabetes and Renal Dysfunction from a Community-based Prospective Study. Int J Med Sci 2020; 17:1515-1521. [PMID: 32669954 PMCID: PMC7359400 DOI: 10.7150/ijms.46477] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/30/2020] [Accepted: 05/19/2020] [Indexed: 11/05/2022] Open
Abstract
Objective: Our study aimed to evaluate the association between prediabetes and renal dysfunction, and further assess which of glycemic indices of fasting plasma glucose (FPG), postprandial plasma glucose (PPG) and hemoglobin A1c (HbA1c) has a higher risk of renal dysfunction. Methods: This was a community-based prospective cohort study, which included 7015 participants from Beijing and Taian between May and October in 2015. The outcome was the renal dysfunction defined as estimated glomerular filtration rate (eGFR)<60 mL/min/1.73 m2. Univariate and multivariate logistic regression model was performed, and calculated the odds ratio (OR) and 95% confidence interval (95%CI) of renal dysfunction. Receiver operating curve (ROC) analysis was used to predict renal dysfunction for glycemic indices. Results: 121 renal dysfunction cases were identified. We found that the adjusted ORs (95%CI) of renal dysfunction were 1.72 (1.11-2.38), 1.48 (1.09-1.93), 1.97 (1.27-2.89) and 1.35 (1.07-2.13), respectively, for those with prediabetes, impaired fasting glucose (IFG), impaired glucose tolerance (IGT) and elevated HbA1c, compared with individuals with normal glucose tolerance. And IGT presented a higher risk of renal dysfunction than other glycemic indices. The similar results were obtained by performing the subgroup analysis. ROC analysis revealed the PPG had a higher predictive value for renal dysfunction. Conclusion: We found prediabetes was positively associated with the risk of renal dysfunction and PPG had a higher risk and predictive value of renal dysfunction than other glycemic indices of FPG and HbA1c.
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Affiliation(s)
- Chao Chen
- Xuanwu Hospital, Capital Medical University, Beijing 100053, China
| | - Guangxu Liu
- National Center for Clinical Laboratories, Beijing Hospital, National Center of Gerontology; Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing 100730, China
| | - Xiaolan Yu
- Beijing Jiangong Hospital, Beijing, 100054, China
| | - Yongbo Yu
- Beijing Key Laboratory for Pediatric Diseases of Otolaryngology, Head and Neck Surgery, Beijing Children's Hospital, Capital Medical University, Beijing 100045, China
| | - Guangfeng Liu
- Department of Emergency, Feicheng Traditional Chinese Medicine Hospital, Taian, Shandong, 271600, China
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12
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Hassan NK, Gillani SW, Kaoje AA, Fari FM, Elashmouny HM, Sulayman NM, Mohammadi NA. A Clinical Review on Nutritional Requirements and Assessment for Type 2 Diabetes Mellitus with Chronic Renal Disease. Curr Diabetes Rev 2020; 16:922-930. [PMID: 32072916 DOI: 10.2174/1573399816666200211120402] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/09/2019] [Revised: 01/26/2020] [Accepted: 01/29/2020] [Indexed: 02/07/2023]
Abstract
BACKGROUND A significant correlation exists between type 2 diabetes mellitus (T2DM) and chronic kidney disease (CKD), where up to 40% of diabetic patients suffer from CKD as a direct result of diabetic complications. The management of diabetes in CKD patients can be challenging due to their need for disease-specific diets, as well as increased risks of complications due to malnutrition, which is why their dietary needs and nutritional requirements require attention to detail, and have to be assessed and tailored according to the patient's needs. OBJECTIVES This systematic review aimed to assess nutritional requirements for type 2 diabetes mellitus patients with chronic renal failure. METHODS In this review, 85 articles were screened, and 22 articles were then analyzed and selected as per the study criteria. PRISMA guidelines were used to select and screen the articles. Data search included a PubMed search using MeSH terms, and a literature review through the Cochrane library and the British Medical Journal. RESULTS The study highlighted the important nutrients and minerals needed to be maintained within a specified range in accordance with the patient's needs and conditions. In addition, dietary restrictions must be set to prevent disease progression and deterioration. Dietary intake in hemodialysis patients must be carefully calculated based on their needs, with tight monitoring of their blood glucose. Protein intake in hemodialysis patients should be determined based on risk-to-benefit ratios. CONCLUSION Dietary requirements should be individualized based on the patient's disease severity and progression. Assessment of the patient's previous and current diet, as well as matching it with their dietary requirements and preferences is crucial.
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Affiliation(s)
| | - Syed Wasif Gillani
- Department of Pharmacy Practice, College of Pharmacy, Gulf Medical University, Ajman, United Arab Emirates
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13
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Mousapour P, Barzin M, Valizadeh M, Mahdavi M, Azizi F, Hosseinpanah F. Predictive performance of lipid accumulation product and visceral adiposity index for renal function decline in non-diabetic adults, an 8.6-year follow-up. Clin Exp Nephrol 2019; 24:225-234. [PMID: 31734819 DOI: 10.1007/s10157-019-01813-7] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2019] [Accepted: 10/28/2019] [Indexed: 01/05/2023]
Abstract
BACKGROUND Lipid accumulation product (LAP) and visceral adiposity index (VAI) are surrogates for visceral adiposity dysfunction. Our aim was to evaluate potential association of these two indices with the incidence of renal function decline. METHODS We included 6693 non-diabetic adults age ≥ 18 years, with estimated glomerular filtration rate (eGFR) ≥ 60 ml/min/1.73 m2, from the Tehran Lipid and Glucose Study 2002-2005 survey. Natural logarithmic transformation (Ln) was applied for LAP and VAI measures. The incidence of renal function decline, defined as eGFR < 60 ml/min/1.73 m2, was evaluated for each gender, across tertiles of Ln LAP, Ln VAI, body mass index (BMI), waist circumference (WC), waist to height ratio (WHtR) and waist to hip ratio (WHR), using Cox-proportional hazard models. RESULTS Over a median 8.6 years of follow-up, 1670 new cases of renal function decline were identified (incidence rate 3.2%). After multivariable adjustment, the hazard ratios (HRs) with 95% CI across second and third tertiles of Ln LAP were 1.14 (0.86-1.50) and 1.33 (1.00-1.78) in men (P trend = 0.132); and 1.16 (0.90-1.50) and 1.24 (0.96-1.61) in women (P trend = 0.263), respectively. Multivariable adjusted HRs across second and third tertiles of Ln VAI were 1.40 (1.08-1.83) and 1.35 (1.02-1.78) in men (P trend = 0.031); and 0.93 (0.75-1.15) and 1.15 (0.93-1.41) in women (P trend = 0.072), respectively. HRs across tertiles of BMI, WC, WHtR and WHR were not significant for renal function decline among both genders in any adjustment models. CONCLUSION Among the adiposity indices assessed in this study, VAI seems to be an independent predictor of renal function decline only in males.
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Affiliation(s)
- Pouria Mousapour
- Obesity Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Maryam Barzin
- Obesity Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Majid Valizadeh
- Obesity Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Maryam Mahdavi
- Obesity Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Fereidoun Azizi
- Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Farhad Hosseinpanah
- Obesity Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
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14
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Koshi T, Sagesaka H, Sato Y, Hirabayashi K, Koike H, Yamauchi K, Nishimura R, Noda M, Yamashita K, Aizawa T. Elevated haemoglobin A1c but not fasting plasma glucose conveys risk of chronic kidney disease in non-diabetic individuals. Diabetes Res Clin Pract 2018; 146:233-239. [PMID: 30391503 DOI: 10.1016/j.diabres.2018.10.026] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/19/2018] [Revised: 10/16/2018] [Accepted: 10/29/2018] [Indexed: 01/13/2023]
Abstract
AIMS To compare impact of elevated HbA1c and fasting plasma glucose (FPG) on incident chronic kidney disease (CKD) in a non-diabetic cohort. METHODS Data from diabetes- and CKD-free 25,109 health examinees were retrospectively analysed with a mean observation period of 5.3 years. Prediabetes was diagnosed by the ADA and WHO criteria, and CKD by estimated glomerular filtration rate (eGFR) < 60 ml/min/1.73 m2 and/or dipstick proteinuria. Cox proportional hazards model was applied with sex, age, insulin sensitivity, systolic blood pressure, eGFR and serum alanine aminotransferase level as covariates. RESULTS For incident CKD (n = 2483), high HbA1c but not FPG was an independent risk: adjusted hazard ratio (AHR, 95%CI) for HbA1c 1% and FPG 1 mmol/L, 1.91 (1.70-2.16) and 0.85 (0.60-1.20), respectively. Prediabetes by the ADA and WHO criteria were both risk for CKD with AHR (95%CI), 1.21 (1.12-1.32) and 1.31 (1.16-1.48), respectively. Prediabetes diagnosed by 'elevated HbA1c irrespective of FPG', either by the ADA and the WHO definition, was a risk with AHR (95%CI), 1.48 (1.36-1.61) and 1.51 (1.31-1.74), respectively. In contrast, prediabetes diagnosed by 'raised FPG irrespective of HbA1c' was not a CKD risk. CONCLUSIONS Elevated HbA1c, but not FPG, identified CKD risk in non-diabetic individuals.
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Affiliation(s)
| | | | - Yuka Sato
- Diabetes Center, Aizawa Hospital, Matsumoto, Japan
| | | | - Hideo Koike
- Health Center, Aizawa Hospital, Matsumoto, Japan
| | - Keishi Yamauchi
- Department of Diabetes, Endocrinology and Metabolism, International University of Health and Welfare Shioya Hospital, Yaita, Japan
| | - Rimei Nishimura
- Department of Diabetes, Metabolism and Endocrinology, Jikei University School of Medicine, Tokyo, Japan
| | - Mitsuhiko Noda
- Department of Endocrinology and Diabetes, Saitama Medical University, Moroyama, Saitama, Japan
| | | | - Toru Aizawa
- Diabetes Center, Aizawa Hospital, Matsumoto, Japan.
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