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Parra-Ortega I, Zurita-Cruz JN, Villasis-Keever MA, Klünder-Klünder M, Vilchis-Gil J, Zepeda-Martinez C, Rizo Romero Á, Alegria-Torres G, Romero-Navarro B, Romo-Vázquez JC. Cardiometabolic factors and vitamin D deficiency in pediatric patients with chronic kidney disease. Front Nutr 2024; 11:1480424. [PMID: 39439522 PMCID: PMC11493722 DOI: 10.3389/fnut.2024.1480424] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2024] [Accepted: 09/24/2024] [Indexed: 10/25/2024] Open
Abstract
Background Patients with chronic kidney disease (CKD) are at increased risk for cardiovascular disease. Up to 80% of patients with CKD may exhibit inadequate vitamin D (VD) levels, which have been linked to the presence of cardiometabolic factors (CFs) in the adult population. However, research on this association in the pediatric population is limited. Objective To analyze the effects of 25-hydroxyvitamin D3 (25-[OH]D) levels and status on the presence of CFs in children receiving kidney replacement therapy (KRT). Materials and methods This cross-sectional study included pediatric patients receiving KRT, aged 8-17 years, who were receiving hemodialysis or peritoneal dialysis from January 2021 to March 2024. We conducted anthropometric measurements, blood pressure assessments, and glucose, 25-(OH)D, and lipid profiling for all participants. The daily dose of cholecalciferol supplementation, as well as other medications affecting bone and lipid metabolism and antihypertensive drugs, were documented. Statistical analyses were performed using Student's t-tests and chi-square tests to compare the CFs between groups with and without VD deficiency. Results The study involved 156 patients with an average age of 12.9 years and a mean serum VD level of 22.5 ng/dL. Patients with VD deficiency presented higher levels of total cholesterol and diastolic blood pressure (p < 0.05). No statistically significant differences were found in other biochemical profile variables or in the frequency of cardiometabolic factors. Conclusion Vitamin D deficiency seems to increase the risk of dyslipidemia and uncontrolled hypertension in children and adolescents with end-stage CKD.
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Affiliation(s)
- Israel Parra-Ortega
- Auxiliary Diagnostic Services, Hospital Infantil de México Federico Gómez, Ministry of Health (SSA), Mexico City, Mexico
| | - Jessie Nallely Zurita-Cruz
- Facultad de Medicina Universidad Nacional Autónoma de México, Hospital Infantil de México Federico Gómez, Ministry of Health (SSA), Mexico City, Mexico
| | - Miguel Angel Villasis-Keever
- Analysis and Synthesis of the Evidence Research Unit, National Medical Center XXI Century, Instituto Mexicano del Seguro Social, Mexico City, Mexico
| | - Miguel Klünder-Klünder
- Epidemiological Research Unit in Endocrinology and Nutrition, Hospital Infantil de México Federico Gómez, Ministry of Health (SSA), Mexico City, Mexico
| | - Jenny Vilchis-Gil
- Epidemiological Research Unit in Endocrinology and Nutrition, Hospital Infantil de México Federico Gómez, Ministry of Health (SSA), Mexico City, Mexico
| | - Carmen Zepeda-Martinez
- Department of Pediatric Nephology, Children’s Hospital, National Medical Center XXI Century, Instituto Mexicano del Seguro Social, Mexico City, Mexico
| | - Ángeles Rizo Romero
- Department of Pediatric Nephology, Children’s Hospital, National Medical Center XXI Century, Instituto Mexicano del Seguro Social, Mexico City, Mexico
| | - Gabriela Alegria-Torres
- Department of Pediatric Nephology, Children’s Hospital, National Medical Center XXI Century, Instituto Mexicano del Seguro Social, Mexico City, Mexico
| | - Benjamin Romero-Navarro
- Auxiliary Diagnostic Services, Hospital Infantil de México Federico Gómez, Ministry of Health (SSA), Mexico City, Mexico
| | - José Carlos Romo-Vázquez
- Department of Pediatric Nephology, Hospital Infantil de México Federico Gómez, Ministry of Health (SSA), Mexico City, Mexico
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Alicic RZ, Neumiller JJ, Galindo RJ, Tuttle KR. Use of Glucose-Lowering Agents in Diabetes and CKD. Kidney Int Rep 2022; 7:2589-2607. [PMID: 36506243 PMCID: PMC9727535 DOI: 10.1016/j.ekir.2022.09.018] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2022] [Revised: 08/31/2022] [Accepted: 09/19/2022] [Indexed: 12/15/2022] Open
Abstract
Diabetes is the most common cause of kidney failure worldwide. Patients with diabetes and chronic kidney disease (CKD) are also at markedly higher risk of cardiovascular disease, particularly heart failure (HF), and death. Through the processes of gluconeogenesis and glucose reabsorption, the kidney plays a central role in glucose homeostasis. Insulin resistance is an early alteration observed in CKD, worsened by the frequent presence of hypertension, obesity, and ongoing chronic inflammation, and oxidative stress. Management of diabetes in moderate to severe CKD warrants special consideration because of changes in glucose and insulin homeostasis and altered metabolism of glucose-lowering therapies. Kidney failure and initiation of kidney replacement therapy by dialysis adds to management complexity by further limiting therapeutic options, and predisposing individuals to hypoglycemia and hyperglycemia. Glycemic goals should be individualized, considering CKD severity, presence of macrovascular and microvascular complications, and life expectancy. A general hemoglobin A1c (HbA1c) goal of approximately 7% may be appropriate in earlier stages of CKD, with more relaxed targets often appropriate in later stages. Use of sodium glucose cotransporter2 (SGLT2) inhibitors and glucagon like peptide-1 receptor agonists (GLP-1RAs) meaningfully improves kidney and heart outcomes for patients with diabetes and CKD, irrespective of HbA1c targets, and are now part of guideline-directed medical therapy in this high-risk population. Delivery of optimal care for patients with diabetes and CKD will require collaboration across health care specialties and disciplines.
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Affiliation(s)
- Radica Z. Alicic
- Providence Medical Research Center, Providence Health Care, Spokane, Washington, USA
- Department of Medicine, University of Washington School of Medicine, Spokane and Seattle, Washington, USA
- Correspondence: Radica Z. Alicic, Providence Medical Research Center, 105 West 8th Avenue, Suite 250E, Spokane, Washington 99204, USA.
| | - Joshua J. Neumiller
- Providence Medical Research Center, Providence Health Care, Spokane, Washington, USA
- Department of Pharmacotherapy, College of Pharmacy and Pharmaceutical Sciences, Washington State University, Spokane, Washington, USA
| | - Rodolfo J. Galindo
- Department of Medicine, Division of Endocrinology, Emory University School of Medicine
| | - Katherine R. Tuttle
- Providence Medical Research Center, Providence Health Care, Spokane, Washington, USA
- Department of Medicine, University of Washington School of Medicine, Spokane and Seattle, Washington, USA
- Nephrology Division, Kidney Research Institute and Institute of Translational Health Sciences, University of Washington, Spokane and Seattle, Washington, USA
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Ye C, Wang Y, Kong L, Zhao Z, Li M, Xu Y, Xu M, Lu J, Wang S, Lin H, Chen Y, Wang W, Ning G, Bi Y, Wang T. Comprehensive risk profiles of family history and lifestyle and metabolic risk factors in relation to diabetes: A prospective cohort study. J Diabetes 2022; 14:414-424. [PMID: 35762391 PMCID: PMC9366567 DOI: 10.1111/1753-0407.13289] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/19/2022] [Revised: 04/22/2022] [Accepted: 05/27/2022] [Indexed: 12/13/2022] Open
Abstract
BACKGROUND Family history of diabetes, unhealthy lifestyles, and metabolic disorders are individually associated with higher risk of diabetes, but how different combinations of the three risk categories are associated with incident diabetes remains unclear. We aimed to estimate the associations of comprehensive risk profiles of family history and lifestyle and metabolic risk factors with diabetes risk. METHODS This study included 5290 participants without diabetes at baseline with a mean follow-up of 4.4 years. Five unhealthy lifestyles and five metabolic disorders were each allocated a score, resulting in an aggregated lifestyle and metabolic risk score ranging from 0 to 5. Eight risk profiles were constructed from combinations of three risk categories: family history of diabetes (yes, no), lifestyle risk (high, low), and metabolic risk (high, low). RESULTS Compared with the profile without any risk category, other profiles exhibited incrementally higher risks of diabetes with increasing numbers of categories: the hazard ratio (HR, 95% confidence interval [CI]) for diabetes ranged from 1.34 (1.01-1.79) to 2.33 (1.60-3.39) for profiles with one risk category, ranged from 2.42 (1.45-4.04) to 4.18 (2.42-7.21) for profiles with two risk categories, and was 4.59 (2.85-7.39) for the profile with three risk categories. The associations between the numbers of risk categories and diabetes risk were more prominent in women (pinteraction = .025) and slightly more prominent in adults <55 years (pinteraction = .052). CONCLUSIONS This study delineated associations between comprehensive risk profiles with diabetes risk, with stronger associations observed in women and slightly stronger associations in adults younger than 55 years.
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Affiliation(s)
- Chaojie Ye
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
- Shanghai National Clinical Research Center for metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
| | - Yiying Wang
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
- Shanghai National Clinical Research Center for metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
| | - Lijie Kong
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
- Shanghai National Clinical Research Center for metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
| | - Zhiyun Zhao
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
- Shanghai National Clinical Research Center for metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
| | - Mian Li
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
- Shanghai National Clinical Research Center for metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
| | - Yu Xu
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
- Shanghai National Clinical Research Center for metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
| | - Min Xu
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
- Shanghai National Clinical Research Center for metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
| | - Jieli Lu
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
- Shanghai National Clinical Research Center for metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
| | - Shuangyuan Wang
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
- Shanghai National Clinical Research Center for metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
| | - Hong Lin
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
- Shanghai National Clinical Research Center for metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
| | - Yuhong Chen
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
- Shanghai National Clinical Research Center for metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
| | - Weiqing Wang
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
- Shanghai National Clinical Research Center for metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
| | - Guang Ning
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
- Shanghai National Clinical Research Center for metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
| | - Yufang Bi
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
- Shanghai National Clinical Research Center for metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
| | - Tiange Wang
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
- Shanghai National Clinical Research Center for metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
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4
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Patel N, Yaqoob MM, Aksentijevic D. Cardiac metabolic remodelling in chronic kidney disease. Nat Rev Nephrol 2022; 18:524-537. [DOI: 10.1038/s41581-022-00576-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/14/2022] [Indexed: 11/09/2022]
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5
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Cardiometabolic Factors in Pediatric Patients with Chronic Diseases. Arch Med Res 2021; 52:535-543. [DOI: 10.1016/j.arcmed.2021.01.010] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2020] [Revised: 11/08/2020] [Accepted: 01/21/2021] [Indexed: 12/24/2022]
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Sun Y, Zou H, Li X, Xu S, Liu C. Plasma Metabolomics Reveals Metabolic Profiling For Diabetic Retinopathy and Disease Progression. Front Endocrinol (Lausanne) 2021; 12:757088. [PMID: 34777253 PMCID: PMC8589034 DOI: 10.3389/fendo.2021.757088] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/11/2021] [Accepted: 09/29/2021] [Indexed: 12/21/2022] Open
Abstract
BACKGROUNDS Diabetic retinopathy (DR), the main retinal vascular complication of DM, is the leading cause of visual impairment and blindness among working-age people worldwide. The aim of this study was to investigate the difference of plasma metabolic profiles in patients with DR to better understand the mechanism of this disease and disease progression. METHODS We used ultrahigh-performance liquid Q-Exactive mass spectrometry and multivariate statistical analyses to conduct a comprehensive analysis of plasma metabolites in a population with DR and proliferative DR (PDR). A risk score based on the level of the selected metabolite was established and evaluated using the least absolute shrinkage and selection operator regularization logistic regression (LASSO-LR) based machine learning model. RESULTS 22 differentially expressed metabolites which belonged to different metabolic pathway were identified and confirmed to be associated with the occurrence of DR. A risk score based on the level of the selected metabolite pseudouridine was established and evaluated to strongly associated with the occurrence of DR. Four circulating plasma metabolites (pseudouridine, glutamate, leucylleucine and N-acetyltryptophan) were identified to be differentially expressed between patients with PDR and other patients, and a risk score formula based on these plasma metabolites was developed and assessed to be significantly related to PDR. CONCLUSIONS Our work highlights the possible use of the risk score assessment based on the plasma metabolites not only reveal in the early diagnosis of DR and PDR but also assist in enhancing current therapeutic strategies in the clinic.
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Affiliation(s)
- Yu Sun
- Department of Endocrinology, Affiliated Hospital of Integrated Traditional Chinese and Western Medicine, Nanjing University of Traditional Chinese Medicine, Nanjing, China
- Department of Endocrinology and Metabolism, The Affiliated Suqian Hospital of Xuzhou Medical University, Suqian, China
| | - Huiling Zou
- Department of Endocrinology and Metabolism, The Affiliated Suqian Hospital of Xuzhou Medical University, Suqian, China
| | - Xingjia Li
- Department of Endocrinology, Affiliated Hospital of Integrated Traditional Chinese and Western Medicine, Nanjing University of Traditional Chinese Medicine, Nanjing, China
- Treatment of Yingbing of State Administration of Traditional Chinese Medicine, Jiangsu Provincial Academy of Traditional Chinese Medicine, Nanjing, China
| | - Shuhang Xu
- Department of Endocrinology, Affiliated Hospital of Integrated Traditional Chinese and Western Medicine, Nanjing University of Traditional Chinese Medicine, Nanjing, China
- Treatment of Yingbing of State Administration of Traditional Chinese Medicine, Jiangsu Provincial Academy of Traditional Chinese Medicine, Nanjing, China
- *Correspondence: Chao Liu, ; Shuhang Xu,
| | - Chao Liu
- Department of Endocrinology, Affiliated Hospital of Integrated Traditional Chinese and Western Medicine, Nanjing University of Traditional Chinese Medicine, Nanjing, China
- Treatment of Yingbing of State Administration of Traditional Chinese Medicine, Jiangsu Provincial Academy of Traditional Chinese Medicine, Nanjing, China
- *Correspondence: Chao Liu, ; Shuhang Xu,
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Lin CY, Hsieh MC, Kor CT, Hsieh YP. Association and risk factors of chronic kidney disease and incident diabetes: a nationwide population-based cohort study. Diabetologia 2019; 62:438-447. [PMID: 30607465 DOI: 10.1007/s00125-018-4788-7] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/22/2018] [Accepted: 11/15/2018] [Indexed: 12/26/2022]
Abstract
AIMS/HYPOTHESIS Chronic kidney disease (CKD) is a known complication of diabetes mellitus, and insulin resistance is a well-known complication of CKD. However, there is no consensus in the published data on the association of CKD with incident diabetes. METHODS A total of 15,403 people with CKD were identified from the Taiwan National Health Insurance Research Database to determine their risk of incident diabetes compared with that of 15,403 matched individuals without CKD. Fine and Gray regression models using death as a competing risk were performed to calculate adjusted HRs and 95% CIs. Risk factors for incident diabetes in people with CKD were also determined. RESULTS The CKD cohort had a higher incidence rate of diabetes compared with the non-CKD cohort (11.23/1000 person-years vs 8.93/1000 person-years). In the fully adjusted model, CKD was a significant and independent predictor of incident diabetes (adjusted HR 1.204; 95% CI 1.11, 1.31). The influence of CKD on incident diabetes showed consistent results in three levels of sensitivity analysis. In the CKD cohort, the significant risk factors for incident diabetes included increased age, geographical location, hypertension, hyperlipidaemia and gout. Of these, hypertension was associated with the highest risk of developing incident diabetes (adjusted HR 1.682; 95% CI 1.47, 1.93). CONCLUSIONS/INTERPRETATION People with CKD were at higher risk of developing incident diabetes. People with CKD and hypertension, hyperlipidaemia, increased age or gout and who lived in certain geographical regions of Taiwan were more likely to develop diabetes as a complication compared with people without those characteristics.
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Affiliation(s)
- Ching-Yeh Lin
- Department of Internal Medicine, Changhua Christian Hospital, 135 Nanxiao Street, Changhua City, 500, Taiwan
| | - Ming-Chia Hsieh
- Department of Internal Medicine, Changhua Christian Hospital, 135 Nanxiao Street, Changhua City, 500, Taiwan
| | - Chew-Teng Kor
- Department of Internal Medicine, Changhua Christian Hospital, 135 Nanxiao Street, Changhua City, 500, Taiwan
| | - Yao-Peng Hsieh
- Department of Internal Medicine, Changhua Christian Hospital, 135 Nanxiao Street, Changhua City, 500, Taiwan.
- School of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan.
- School of Medicine, Chung Shan Medical University, Taichung, Taiwan.
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Park JE, Jeong GH, Lee IK, Yoon YR, Liu KH, Gu N, Shin KH. A Pharmacometabolomic Approach to Predict Response to Metformin in Early-Phase Type 2 Diabetes Mellitus Patients. Molecules 2018; 23:molecules23071579. [PMID: 29966242 PMCID: PMC6100517 DOI: 10.3390/molecules23071579] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2018] [Revised: 06/22/2018] [Accepted: 06/28/2018] [Indexed: 12/14/2022] Open
Abstract
Metformin is a first-line medication for type 2 diabetes mellitus (T2DM). Based on its universal use, the consideration of inter-individual variability and development of predictive biomarkers are clinically significant. We aimed to identify endogenous markers of metformin responses using a pharmacometabolomic approach. Twenty-nine patients with early-phase T2DM were enrolled and orally administered metformin daily for 6 months. A total of 22 subjects were included in the final analysis. Patients were defined as responders or non-responders based on changes in their glycated haemoglobin A1c (HbA1c) from baseline, over 3 months. Urine metabolites at baseline, as well as at the 3 and 6 month follow-ups after the start of treatment were analysed using gas chromatography-mass spectrometry and evaluated with multivariate analyses. Metabolites distinguishable between the two response groups were obtained at baseline, as well as at the 3 and 6 month follow-ups, and significantly different metabolites were listed as markers of metformin response. Among the identified metabolites, citric acid, myoinositol, and hippuric acid levels showed particularly significant differences between the non-responder and responder groups. We thus identified different metabolite profiles in the two groups of T2DM patients after metformin administration, using pharmacometabolomics. These results might facilitate a better understanding and prediction of metformin response and its variability in individual patients.
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Affiliation(s)
- Jeong-Eun Park
- College of Pharmacy, Research Institute of Pharmaceutical Sciences, Kyungpook National University, Daegu 41566, Korea.
| | - Gui-Hwa Jeong
- Department of Endocrinology, Changwon Fatima Hospital, Changwon 51394, Korea.
| | - In-Kyu Lee
- Department of Endocrinology, Kyungpook National University Hospital, Daegu 41944, Korea.
| | - Young-Ran Yoon
- Department of Biomedical Science, BK21 Plus KNU Bio-Medical Convergence Program for Creative Talent, Cell and Matrix Research Institute and Clinical Trial Center, Kyungpook National University Graduate School and Hospital, Daegu 41944, Korea.
| | - Kwang-Hyeon Liu
- College of Pharmacy, Research Institute of Pharmaceutical Sciences, Kyungpook National University, Daegu 41566, Korea.
| | - Namyi Gu
- Department of Clinical Pharmacology and Therapeutics, Clinical Trial Center, Dongguk University College of Medicine and Ilsan Hospital, Goyang 10326, Korea.
| | - Kwang-Hee Shin
- College of Pharmacy, Research Institute of Pharmaceutical Sciences, Kyungpook National University, Daegu 41566, Korea.
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Advanced oxidation protein products promote NADPH oxidase-dependent β-cell destruction and dysfunction through the Bcl-2/Bax apoptotic pathway. J Transl Med 2017; 97:792-805. [PMID: 28263293 DOI: 10.1038/labinvest.2017.24] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2016] [Revised: 01/16/2017] [Accepted: 01/25/2017] [Indexed: 01/12/2023] Open
Abstract
The accumulation of plasma advanced oxidation protein products (AOPPs) has been linked with diverse disorders, including diabetes, chronic kidney disease, obesity, and metabolic syndrome. The aim of the present study was to evaluate the pathophysiological relevance of AOPPs in β-cell destruction and dysfunction. Exposure of cultured rat β-cells (INS-1) to AOPPs induced an increase in Bax expression, caspase-3 activity, and apoptosis as well as a decrease in Bcl-2 expression in a dose- and time-dependent manner. AOPP challenge rapidly increased the production of intracellular superoxide by activation of NADPH oxidases, demonstrated by p47phox translocation and interaction with p22phox and gp91phox, and this in turn led to apoptosis. AOPPs treatment resulted in β-cell apoptosis, AOPPs accumulation, and decreased insulin content in pancreas and plasma in unilateral nephrectomized rats. Chronic inhibition of NADPH oxidase by apocynin prevented β-cell apoptosis and ameliorated insulin deficiency in AOPP-challenged rats. This study demonstrates for the first time that accumulation of AOPPs promotes NADPH oxidase-dependent β-cell destruction and dysfunction by the Bcl-2/Bax-caspase apoptotic pathway. This finding may provide a mechanistic explanation for β-cell destruction and dysfunction in patients with diverse disorders.
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Koppe L, Nyam E, Vivot K, Manning Fox JE, Dai XQ, Nguyen BN, Trudel D, Attané C, Moullé VS, MacDonald PE, Ghislain J, Poitout V. Urea impairs β cell glycolysis and insulin secretion in chronic kidney disease. J Clin Invest 2016; 126:3598-612. [PMID: 27525435 DOI: 10.1172/jci86181] [Citation(s) in RCA: 102] [Impact Index Per Article: 11.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2015] [Accepted: 06/24/2016] [Indexed: 12/25/2022] Open
Abstract
Disorders of glucose homeostasis are common in chronic kidney disease (CKD) and are associated with increased mortality, but the mechanisms of impaired insulin secretion in this disease remain unclear. Here, we tested the hypothesis that defective insulin secretion in CKD is caused by a direct effect of urea on pancreatic β cells. In a murine model in which CKD is induced by 5/6 nephrectomy (CKD mice), we observed defects in glucose-stimulated insulin secretion in vivo and in isolated islets. Similarly, insulin secretion was impaired in normal mouse and human islets that were cultured with disease-relevant concentrations of urea and in islets from normal mice treated orally with urea for 3 weeks. In CKD mouse islets as well as urea-exposed normal islets, we observed an increase in oxidative stress and protein O-GlcNAcylation. Protein O-GlcNAcylation was also observed in pancreatic sections from CKD patients. Impairment of insulin secretion in both CKD mouse and urea-exposed islets was associated with reduced glucose utilization and activity of phosphofructokinase 1 (PFK-1), which could be reversed by inhibiting O-GlcNAcylation. Inhibition of O-GlcNAcylation also restored insulin secretion in both mouse models. These results suggest that insulin secretory defects associated with CKD arise from elevated circulating levels of urea that increase islet protein O-GlcNAcylation and impair glycolysis.
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De'Marziani G, Soler Pujol G, Obregón LM, Morales EM, Gonzalez CD, Gonzalez Paganti L, Cacciagiú L, Lopez G, Schreier L, Elbert A. Glycaemic changes in patients with chronic kidney disease. Nefrologia 2016; 36:133-40. [PMID: 26873550 DOI: 10.1016/j.nefro.2015.10.011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2015] [Revised: 09/15/2015] [Accepted: 10/19/2015] [Indexed: 11/16/2022] Open
Abstract
In Argentina, there have been no studies aimed at establishing the prevalence of dysglycaemia (impaired fasting glucose [IFG], impaired glucose tolerance [IGT] and diabetes mellitus [DM]) in patients with chronic kidney disease (CKD). Our group decided to conduct an observational study to evaluate the frequency with oral glucose tolerance test (OGTT) in CKD patients with no previous data for dysglycaemia in their medical records. OGTT was performed in 254 patients (60.62% male) with stage 3, 4 and 5 CKD under conservative treatment, haemodialysis or transplantation. Results for DM were found in 10 patients according to fasting glucose alone (3.94%; 95% CI: 1.35-6.53%), 11 patients with exclusively the second hour criterion (4.33%; 95% CI: 1.63-7.03%), 15 with both criteria (5.91%; 95% CI: 2.81-9.00%) and 36 patients with at least one criteria (14.17%; 95% CI: 9.69-18.66%). In a multivariate analysis, DM was associated with waist circumference (OR=1.033 per cm; 95% CI, 1.005 to 1.062; P=.019) and with conservative treatment vs. replacement therapy (OR=0.41; 95% CI: 0.19-0.92; P=.028). IGT was evident in 24.6% and 20.3 on conservative vs. replacement therapy, with no statistically significant difference. IFG (ADA criteria) was 19.75 vs. 9.24% in conservative vs. replacement therapy, with a statistically significant difference. OGTT is suggested for all CKD patients since it is able to detect the full range of unknown dysglycaemias, which avoids underdiagnoses and favours performing treatments to prevent progression in DM risk groups (IFG and/or IGT). It also aids in the selection of the most appropriate medication for transplantation or treatment initiation in new cases of undiagnosed DM to decrease morbidity and mortality.
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Affiliation(s)
- Guillermo De'Marziani
- Centro de Enfermedades Renales e Hipertensión Arterial (CEREHA), Buenos Aires, Argentina
| | - Gervasio Soler Pujol
- Unidad de Trasplante Renopáncreas, Centro de Educación Médica e Investigaciones Clínicas (CEMIC), Buenos Aires, Argentina
| | | | | | - Claudio Daniel Gonzalez
- Departamento de Farmacología (Segunda Cátedra), Facultad de Medicina, Universidad de Buenos Aires, Buenos Aires, Argentina
| | | | - Leonardo Cacciagiú
- Laboratorio de Lípidos y Aterosclerosis, Departamento de Bioquímica Clínica, Facultad de Farmacia y Bioquímica, Universidad de Buenos Aires (INFIBIOC), Buenos Aires, Argentina
| | - Graciela Lopez
- Laboratorio de Lípidos y Aterosclerosis, Departamento de Bioquímica Clínica, Facultad de Farmacia y Bioquímica, Universidad de Buenos Aires (INFIBIOC), Buenos Aires, Argentina
| | - Laura Schreier
- Laboratorio de Lípidos y Aterosclerosis, Departamento de Bioquímica Clínica, Facultad de Farmacia y Bioquímica, Universidad de Buenos Aires (INFIBIOC), Buenos Aires, Argentina
| | - Alicia Elbert
- Centro de Enfermedades Renales e Hipertensión Arterial (CEREHA), Buenos Aires, Argentina.
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Idorn T, Knop FK, Jørgensen M, Holst JJ, Hornum M, Feldt-Rasmussen B. Postprandial responses of incretin and pancreatic hormones in non-diabetic patients with end-stage renal disease. Nephrol Dial Transplant 2013; 29:119-27. [PMID: 24078334 DOI: 10.1093/ndt/gft353] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/28/2023] Open
Abstract
BACKGROUND Patients with end-stage renal disease (ESRD) have glucometabolic disturbances resulting in a high prevalence of prediabetes. The underlying pathophysiology remains unclear, but may prove important for the strategies employed to prevent progression to overt diabetes. Meal-induced release of the insulinotropic gut-derived incretin hormones and pancreatic hormones play a critical role in the maintenance of a normal postprandial glucose tolerance. METHODS We studied patients with ESRD and either normal (n = 10) or impaired (n = 10) glucose tolerance, and control subjects (n = 11). Plasma concentrations of glucose, insulin, glucagon, glucagon-like peptide-1 (GLP-1), glucose-dependent insulinotropic polypeptide (GIP) and paracetamol were measured repeatedly during a standardized 4-h liquid meal including 1.5 g paracetamol (added for evaluation of gastric emptying). RESULTS Fasting glucose and postprandial glucose responses were comparable between groups (P > 0.082). Patients with ESRD exhibited higher fasting levels of GIP and glucagon compared with controls (P < 0.001). Baseline-corrected GLP-1 and glucagon responses were enhanced (P < 0.002), baseline-corrected insulin responses and insulin excursions were reduced (P < 0.035), and paracetamol excursions were delayed (P < 0.024) in patients with ESRD compared with controls. None of the variables differed between the two ESRD subgroups. CONCLUSIONS Non-diabetic patients with ESRD were characterized by reduced postprandial insulin responses despite increased secretion of the insulinotropic incretin hormone GLP-1. Fasting levels and baseline-corrected responses of glucagon were elevated and gastric emptying was delayed in the ESRD patients. These perturbations seem to be caused by uraemia per se and may contribute to the disturbed glucose metabolism in ESRD patients.
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Affiliation(s)
- Thomas Idorn
- Department of Nephrology, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark
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13
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Gastrointestinal factors contribute to glucometabolic disturbances in nondiabetic patients with end-stage renal disease. Kidney Int 2013; 83:915-23. [PMID: 23325073 DOI: 10.1038/ki.2012.460] [Citation(s) in RCA: 27] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
Abstract
Nondiabetic patients with end-stage renal disease (ESRD) have disturbed glucose metabolism, the underlying pathophysiology of which is unclear. To help elucidate this, we studied patients with ESRD and either normal or impaired glucose tolerance (10 each NGT or IGT, respectively) and 11 controls using an oral glucose tolerance test and an isoglycemic intravenous glucose infusion on separate days. Plasma glucose, insulin, glucagon, and incretin hormones were measured repeatedly, and gastrointestinal-mediated glucose disposal (GIGD) based on glucose amounts utilized, and incretin effect based on incremental insulin responses, were calculated. The GIGD was significantly reduced in both ESRD groups compared with controls. Incretin effects were 69% (controls), 55% (ESRD with NGT), and 41% (ESRD with IGT), with a significant difference between controls and ESRDs with IGT. Fasting concentrations of glucagon and incretin hormones were significantly increased in patients with ESRD. Glucagon suppression was significantly impaired in both groups with ESRD compared with controls, while the baseline-corrected incretin hormone responses were unaltered between groups. Thus, patients with ESRD had reduced GIGD, a diminished incretin effect in those with IGT, and severe fasting hyperglucagonemia that seemed irrepressible in response to glucose stimuli. These factors may contribute to disturbed glucose metabolism in ESRD.
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14
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Razeghi E, Heydarian P, Heydari M. The frequency of prediabetes and contributing factors in patients with chronic kidney disease. Rev Diabet Stud 2011; 8:276-81. [PMID: 22189551 PMCID: PMC3280013 DOI: 10.1900/rds.2011.8.276] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/04/2011] [Revised: 07/27/2011] [Accepted: 08/04/2011] [Indexed: 11/03/2022] Open
Abstract
AIMS Uremia is a prediabetic state, but abnormal glucose metabolism and relative risk factors in non-diabetic chronic kidney disease (CKD) patients are not studied extensively. This study aimed to evaluate prediabetes and contributing factors in patients with CKD. METHODS We studied the frequency of prediabetes (defined as fasting plasma glucose 100-125 mg/dl and 2-h plasma glucose 140-199 mg/dl) and contributing risk factors in 91 (34 women and 57 men) non-diabetic CKD (GFR < 60) patients who were referred to Sina Hospital between November 2010 and November 2011. Impaired fasting glucose and impaired glucose tolerance were regarded as prediabetic state. RESULTS Thirty-eight patients (41.8%), 28 male and 10 female, with mean age of 57.4 ± 17.1 yr, had prediabetes. Among these, 18.7% had impaired fasting glucose, 7.7% impaired glucose tolerance, and 15.4% combined impaired fasting glucose and impaired glucose tolerance. CKD patients with impaired glucose tolerance had more frequently hypertriglyceridemia (85.7% vs. 42.0%, p = 0.001), hypertension (66.6% vs. 31.4%, p = 0.004), and metabolic syndrome according to National Cholesterol Education Program Adult Treatment Panel III (52.3% vs. 25.7%, p = 0.02). Also, mean systolic blood pressure (134.2 ± 13.9 vs. 124.5 ± 20.0, p = 0.004) was higher in CKD patients with impaired glucose tolerance compared to CKD patients with normal glucose. CONCLUSIONS Prediabetes is a frequent condition in CKD patients. Also, hypertriglyceridemia and hypertension are more prevalent in prediabetic CKD patients than in non-diabetic CKD patients.
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Affiliation(s)
- Effat Razeghi
- Nephrology Research Center, Tehran University of Medical Sciences, Tehran, Iran
| | - Peimaneh Heydarian
- Department of Endocrinology and Metabolism, Tehran University of Medical Sciences, Tehran, Iran
| | - Mahshid Heydari
- Nephrology Research Center, Tehran University of Medical Sciences, Tehran, Iran
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15
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Hornum M, Jørgensen KA, Hansen JM, Nielsen FT, Christensen KB, Mathiesen ER, Feldt-Rasmussen B. New-onset diabetes mellitus after kidney transplantation in Denmark. Clin J Am Soc Nephrol 2010; 5:709-16. [PMID: 20167685 PMCID: PMC2849691 DOI: 10.2215/cjn.05360709] [Citation(s) in RCA: 47] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2009] [Accepted: 12/30/2009] [Indexed: 12/14/2022]
Abstract
BACKGROUND AND OBJECTIVES This study aimed to investigate the development of new-onset diabetes mellitus (NODM) in a prospective study of 97 nondiabetic uremic patients. DESIGN, SETTING, PARTICIPANTS, & MEASUREMENTS Included were 57 kidney recipients (Tx group, age 39 +/- 13 years) and 40 uremic patients remaining on the waiting list for kidney transplantation (uremic controls, age 47 +/- 11 years). All were examined at baseline before possible transplantation and after 12 months. The prevalence of diabetes, prediabetes, insulin sensitivity index (ISI), and insulin secretion index (Isecr) were estimated using an oral glucose tolerance test with measurements of plasma glucose and plasma insulin. RESULTS One year after transplantation NODM was present in 14% (8 of 57) compared with 5% (2 of 40) in the uremic control group (P = 0.01). ISI in the Tx group deteriorated from 6.8 +/- 3.9 before transplantation to 4.9 +/- 2.8 at 12 months after transplantation (P = 0.005), and a slight increase in Isecr from 37 +/- 19 to 46 +/- 22 (P = 0.02) was seen. No significant changes occurred in the uremic controls (ISI was 7.9 +/- 5 and 8.5 +/- 5, and Isecr was 31 +/- 17 and 28 +/- 15). Using multivariate ordinal logistic regression, pre-Tx ISI and age predicted NODM (odds ratios: 0.82, P = 0.01 and 1.06, P = 0.02, respectively). CONCLUSIONS One year after kidney transplantation, NODM was present in 14% of patients. This was mainly caused by an increase in insulin resistance and was observed despite improvement in insulin secretion.
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Affiliation(s)
- Mads Hornum
- Department of Nephrology, Copenhagen University Hospital, Rigshospitalet, Blegdamsvej 9, P 2131, DK-2100 Copenhagen, Denmark.
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Hornum M, Clausen P, Kjaergaard J, Hansen JM, Mathiesen ER, Feldt-Rasmussen B. Pre-diabetes and arterial stiffness in uraemic patients. Nephrol Dial Transplant 2009; 25:1218-25. [PMID: 19846393 DOI: 10.1093/ndt/gfp558] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
BACKGROUND In order to address factors of relevance for new onset diabetes mellitus and cardiovascular disease after kidney transplantation, we investigated the presence of pre-diabetes, arterial stiffness and endothelial dysfunction in patients with end-stage renal disease (ESRD) accepted for kidney transplantation. METHODS Pre-diabetes and an insulin sensitivity index were estimated by an oral glucose tolerance test in 66 consecutive uraemic patients, without diabetes, being on the waiting list for the first renal transplantation. Mean age was 43 +/- 13 years. Duration of ESRD was 32 +/- 27 months. A control group consisted of 14 healthy subjects. Arterial stiffness was measured by aorta pulse wave velocity (PWV) and aorta augmentation index (AIX). Endothelial function was evaluated by flow-mediated vasodilatation (FMD) and plasma concentrations of von Willebrand factor antigen (vWF). Mean arterial blood pressure (MAP) was measured in supine resting position. RESULTS Twenty-seven uraemic patients (41%) had pre-diabetes (IFG+IGT), and 39 had normal glucose tolerance. The uraemic patients were more insulin resistant with lower insulin sensitivity index compared to healthy controls (6.1 +/- 3 vs. 15 +/- 7, P < 0.0001) but with no difference between patients with and without pre-diabetes. HbA1c and fasting plasma glucose was comparable in uraemic patients with and without pre-diabetes. PWV was higher in pre-diabetic compared to normoglycaemic uraemic patients (9.1 +/- 3 vs. 7.3 +/- 2 m/s, P = 0.03) and healthy controls (9.1 +/- 3 vs. 6.7 +/- 1, P = 0.01), while AIX did not differ (24.9 +/- 13 vs. 23.2 +/- 12 vs. 17 +/- 16, P = NS). Presence of pre-diabetes was positively associated to PWV in a univariate analysis. Multivariable analysis revealed age and MAP as independent predictors of PWV in uraemic patients. FMD and vWF were impaired in uraemic patients compared to healthy controls (3 +/- 4 vs. 7 +/- 3, P = 0.007 and 1.8 +/- 0.7 vs. 0.96 +/- 0.3 kIU/L, P = 0.0002, respectively) but with no difference between the two groups of uraemic patients. In conclusion, a high prevalence of pre-diabetes, impaired insulin resistance, increased arterial stiffness of aorta as well as impaired augmentation index and vasodilatation was demonstrated in uraemic patients prior to kidney transplantation. Increased arterial stiffness of aorta and augmentation index were independently associated with age and blood pressure.
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Affiliation(s)
- Mads Hornum
- Department of Nephrology, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark.
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Vascular endothelial dysfunction: A tug of war in diabetic nephropathy? Biomed Pharmacother 2009; 63:171-9. [DOI: 10.1016/j.biopha.2008.08.008] [Citation(s) in RCA: 45] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2008] [Accepted: 08/19/2008] [Indexed: 11/18/2022] Open
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