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Dong H, Hu P, Wang J, Lu N. Serum magnesium and calcium were inversely associated with hemoglobin glycation index and triglyceride-glucose index in adults with coronary artery disease. Biol Trace Elem Res 2024:10.1007/s12011-024-04287-1. [PMID: 38913294 DOI: 10.1007/s12011-024-04287-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/28/2024] [Accepted: 06/19/2024] [Indexed: 06/25/2024]
Abstract
Little is known about the associations of magnesium (Mg) and calcium (Ca) with hemoglobin glycation index (HGI) and triglyceride-glucose index (TyG) in adults. In this study, we examined the associations of serum Mg and Ca with HGI and TyG in adults with coronary artery disease (CAD). This hospital-based cross-sectional study included 10757 CAD patients with a mean age of 61.6 years. Serum concentrations of Mg and Ca were measured in clinical laboratory. Overall, serum Mg and Ca were inversely associated with HGI and TyG. In multivariable analyses, Mg and Ca were inversely associated with HGI (MgQ4 vs. Q3: -0.601 vs. -0.528; CaQ4 vs. Q1: -0.769 vs. -0.645). In terms of TyG, inverse associations of serum Mg and Ca with TyG were observed. The corresponding TyG values were 9.054 (vs. 9.099) for Mg and 9.068 (vs. 9.171) for Ca in the fourth quartile compared with the first quartile. Moreover, Mg, Ca or Mg/Ca ratio were also inversely associated with HbA1c and FBG. In path analysis, no mediating effects of obesity on "serum Mg (or Ca)- HGI (or TyG)" associations were observed. Generally, our study identified the inverse associations of the serum Mg and Ca levels with HGI and TyG in adults with CAD. Large sample longitudinal study, and particularly randomized controlled trials, are warranted to validate our findings and overcome the limitations of cross-sectional studies.
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Affiliation(s)
- Hongli Dong
- Department of Child Healthcare and Scientific Education Section, Affiliated Maternity & Child Health Care Hospital of Nantong University, Nantong, 226018, Jiangsu, People's Republic of China
| | - Ping Hu
- Image Center, Wuhan Asia Heart Hospital, Wuhan, 430022, Hubei, People's Republic of China
| | - Jie Wang
- Image Center, Wuhan Asia Heart Hospital, Wuhan, 430022, Hubei, People's Republic of China
| | - Nan Lu
- Department of Psycho-Cardiology, Beijing Anzhen Hospital Affiliated to Capital Medical University, Beijing, 100029, People's Republic of China.
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2
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Wei X, Chen X, Zhang Z, Wei J, Hu B, Long N, Feng J, Luo C. Risk analysis of the association between different hemoglobin glycation index and poor prognosis in critical patients with coronary heart disease-A study based on the MIMIC-IV database. Cardiovasc Diabetol 2024; 23:113. [PMID: 38555454 PMCID: PMC10981833 DOI: 10.1186/s12933-024-02206-1] [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: 01/19/2024] [Accepted: 03/16/2024] [Indexed: 04/02/2024] Open
Abstract
BACKGROUND The hemoglobin glycation index (HGI) is the difference between the observed and predicted values of glycosylated hemoglobin (HbA1c), which is closely associated with a variety of poor prognoses. However, there are still no studies on the correlation between HGI and poor prognosis in patients with critical coronary artery disease. The purpose of this study was to analyze the correlation between HGI and all-cause mortality in patients with critical coronary artery disease using the MIMIC-IV database. METHODS The HGI was calculated by constructing a linear regression equation between HbA1c and fasting plasma glucose (FPG). A Kaplan‒Meier survival analysis model was constructed based on the HGI quartiles to clarify the differences in all-cause mortality rates between groups, and the log-rank test was used to assess the differences between groups. The hazard ratio (HR) of HGI as a risk factor for outcome events was assessed using the Cox proportional risk model and restricted cubic spline (RCS), with the Q2 group serving as the reference group. RESULTS A total of 5260 patients were included in this study. The 30-day mortality rate of the patients was 4.94% and the mortality rate within 365 days was 13.12%. A low HGI was significantly associated with 30-day mortality (HR, 1.96; 95% CI, (1.38, 2.78); P < 0.001) and 365-day mortality (HR, 1.48; 95% CI, (1.19, 1.85); P < 0.001) in patients with critical coronary artery disease in the completely adjusted Cox proportional risk model. In addition, high levels of HGI were associated with 365-day mortality (HR, 1.31; 95% CI, (1.02, 1.69); P < 0.05). RCS analysis revealed a U-shaped relationship between HGI and outcome events. According to the stratified analysis, the interaction test revealed that the correlation between HGI and outcome events remained stable. CONCLUSION There was a significant correlation between HGI and all-cause mortality in patients with critical coronary artery disease, particularly in those with low HGI. HGI can be used as a potential indicator for assessing the short- and long-term risk of mortality in such patients.
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Affiliation(s)
- Xing Wei
- Department of Cardiology, The Second People's Hospital of Hefei, Hefei Hospital Affiliated to Anhui Medical University, Hefei, 230011, Anhui, China
- The Fifth Clinical School of Medicine, Anhui Medical University, Hefei, 230032, Anhui, China
| | - Xinghua Chen
- The Fifth Clinical School of Medicine, Anhui Medical University, Hefei, 230032, Anhui, China
- Intensive Care Unit, The Second People's Hospital of Hefei, Hefei Hospital Affiliated to Anhui Medical University, Hefei, 230011, China
| | - Zhipeng Zhang
- Department of Cardiology, The Second People's Hospital of Hefei, Hefei Hospital Affiliated to Anhui Medical University, Hefei, 230011, Anhui, China
- The Fifth Clinical School of Medicine, Anhui Medical University, Hefei, 230032, Anhui, China
| | - Jing Wei
- Department of Cardiology, The Second People's Hospital of Hefei, Hefei Hospital Affiliated to Anhui Medical University, Hefei, 230011, Anhui, China
- The Fifth Clinical School of Medicine, Anhui Medical University, Hefei, 230032, Anhui, China
| | - Ben Hu
- Department of Cardiology, The Second People's Hospital of Hefei, Hefei Hospital Affiliated to Anhui Medical University, Hefei, 230011, Anhui, China
- The Fifth Clinical School of Medicine, Anhui Medical University, Hefei, 230032, Anhui, China
| | - Nv Long
- Department of Cardiology, The Second People's Hospital of Hefei, Hefei Hospital Affiliated to Anhui Medical University, Hefei, 230011, Anhui, China
- The Fifth Clinical School of Medicine, Anhui Medical University, Hefei, 230032, Anhui, China
| | - Jun Feng
- Department of Cardiology, The Second People's Hospital of Hefei, Hefei Hospital Affiliated to Anhui Medical University, Hefei, 230011, Anhui, China
- The Fifth Clinical School of Medicine, Anhui Medical University, Hefei, 230032, Anhui, China
| | - Chunmiao Luo
- Department of Cardiology, The Second People's Hospital of Hefei, Hefei Hospital Affiliated to Anhui Medical University, Hefei, 230011, Anhui, China.
- The Fifth Clinical School of Medicine, Anhui Medical University, Hefei, 230032, Anhui, China.
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3
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Wang Y, Liu H, Hu X, Wang A, Wang A, Kang S, Zhang L, Gu W, Dou J, Mu Y, Chen K, Wang W, Lyu Z. Association between hemoglobin glycation index and 5-year major adverse cardiovascular events: the REACTION cohort study. Chin Med J (Engl) 2023; 136:2468-2475. [PMID: 37265382 PMCID: PMC10586840 DOI: 10.1097/cm9.0000000000002717] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2022] [Indexed: 06/03/2023] Open
Abstract
BACKGROUND The hemoglobin glycation index (HGI) was developed to quantify glucose metabolism and individual differences and proved to be a robust measure of individual glycosylated hemoglobin (HbA1c) bias. Here, we aimed to explore the relationship between different HGIs and the risk of 5-year major adverse cardiovascular events (MACEs) by performing a large multicenter cohort study in China. METHODS A total of 9791 subjects from the Risk Evaluation of Cancers in Chinese Diabetic Individuals: a Longitudinal Study (the REACTION study) were divided into five subgroups (Q1-Q5) with the HGI quantiles (≤5th, >5th and ≤33.3th, >33.3th and ≤66.7th, >66.7th and ≤95th, and >95th percentile). A multivariate logistic regression model constructed by the restricted cubic spline method was used to evaluate the relationship between the HGI and the 5-year MACE risk. Subgroup analysis between the HGI and covariates were explored to detect differences among the five subgroups. RESULTS The total 5-year MACE rate in the nationwide cohort was 6.87% (673/9791). Restricted cubic spline analysis suggested a U-shaped correlation between the HGI values and MACE risk after adjustment for cardiovascular risk factors ( χ2 = 29.5, P <0.001). After adjustment for potential confounders, subjects with HGIs ≤-0.75 or >0.82 showed odds ratios (ORs) for MACE of 1.471 (95% confidence interval [CI], 1.027-2.069) and 2.222 (95% CI, 1.641-3.026) compared to subjects with HGIs of >-0.75 and ≤-0.20. In the subgroup with non-coronary heart disease, the risk of MACE was significantly higher in subjects with HGIs ≤-0.75 (OR, 1.540 [1.039-2.234]; P = 0.027) and >0.82 (OR, 2.022 [1.392-2.890]; P <0.001) compared to those with HGIs of ≤-0.75 or >0.82 after adjustment for potential confounders. CONCLUSIONS We found a U-shaped correlation between the HGI values and the risk of 5-year MACE. Both low and high HGIs were associated with an increased risk of MACE. Therefore, the HGI may predict the 5-year MACE risk.
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Affiliation(s)
- Yuhan Wang
- Department of Endocrinology, The First Medical Center, Chinese PLA General Hospital, Beijing 100853, China
| | - Hongzhou Liu
- Department of Endocrinology, The Second Medical Center and National Clinical Research Center for Geriatric Diseases, Chinese PLA General Hospital, Beijing 100853, China
| | - Xiaodong Hu
- Department of Endocrinology, The First Medical Center, Chinese PLA General Hospital, Beijing 100853, China
| | - Anping Wang
- Department of Endocrinology, The First Medical Center, Chinese PLA General Hospital, Beijing 100853, China
| | - Anning Wang
- Department of Endocrinology, The First Medical Center, Chinese PLA General Hospital, Beijing 100853, China
| | - Shaoyang Kang
- Department of Endocrinology, The First Medical Center, Chinese PLA General Hospital, Beijing 100853, China
| | - Lingjing Zhang
- Department of Endocrinology, The First Medical Center, Chinese PLA General Hospital, Beijing 100853, China
| | - Weijun Gu
- Department of Endocrinology, The First Medical Center, Chinese PLA General Hospital, Beijing 100853, China
| | - Jingtao Dou
- Department of Endocrinology, The First Medical Center, Chinese PLA General Hospital, Beijing 100853, China
| | - Yiming Mu
- Department of Endocrinology, The First Medical Center, Chinese PLA General Hospital, Beijing 100853, China
| | - Kang Chen
- Department of Endocrinology, The First Medical Center, Chinese PLA General Hospital, Beijing 100853, China
| | - Weiqing Wang
- Department of Endocrinology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai Institute of Endocrine and Metabolic Diseases, Shanghai 200025, China
| | - Zhaohui Lyu
- Department of Endocrinology, The First Medical Center, Chinese PLA General Hospital, Beijing 100853, China
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Sakane N, Hirota Y, Yamamoto A, Miura J, Takaike H, Hoshina S, Toyoda M, Saito N, Hosoda K, Matsubara M, Tone A, Kawashima S, Sawaki H, Matsuda T, Domichi M, Suganuma A, Sakane S, Murata T. Factors associated with hemoglobin glycation index in adults with type 1 diabetes mellitus: The FGM-Japan study. J Diabetes Investig 2023; 14:582-590. [PMID: 36789495 PMCID: PMC10034957 DOI: 10.1111/jdi.13973] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/27/2022] [Revised: 12/22/2022] [Accepted: 12/24/2022] [Indexed: 02/16/2023] Open
Abstract
AIMS/INTRODUCTION The discrepancy between HbA1c and glucose exposure may have significant clinical implications; however, the association between the hemoglobin glycation index (HGI) and clinical parameters in type 1 diabetes remains controversial. This study aimed to find the factors associated with HGI (laboratory HbA1c - predicted HbA1c derived from the continuous glucose monitoring [CGM]). MATERIALS AND METHODS We conducted a cross-sectional study of adults with type 1 diabetes (n = 211, age 50.9 ± 15.2 years old, female sex = 59.2%, duration of CGM use = 2.1 ± 1.0 years). All subjects wore the CGM for 90 days before HbA1c measurement. Data derived from the FreeStyle Libre sensor were used to calculate the glucose management indicator (GMI) and glycemic variability (GV) parameters. HGI was defined as the difference between the GMI and the laboratory HbA1c levels. The participants were divided into three groups according to the HGI tertile (low, moderate, and high). Multivariate regression analyses were performed. RESULTS The female sex ratio, HbA1c, and % coefficient of variation (%CV) significantly increased over the HGI tertile, while eGFR and Hb decreased over the HGI tertile. In multivariate analysis, the factors associated with HGI were %CV and eGFR, after adjusting for HbA1c level and sex (R2 = 0.44). CONCLUSIONS This study demonstrated that HGI is associated with female sex, eGFR, and some glycemic variability indices, independently of HbA1c. Minimizing glycemic fluctuations might reduce HGI. This information provides diabetic health professionals and patients with personalized diabetes management for adults with type 1 diabetes.
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Affiliation(s)
- Naoki Sakane
- Division of Preventive Medicine, Clinical Research Institute, National Hospital Organization Kyoto Medical Center, Kyoto, Japan
| | - Yushi Hirota
- Division of Diabetes and Endocrinology, The Department of Internal Medicine, Kobe University Graduate School of Medicine, Hyogo, Japan
| | - Akane Yamamoto
- Division of Diabetes and Endocrinology, The Department of Internal Medicine, Kobe University Graduate School of Medicine, Hyogo, Japan
| | - Junnosuke Miura
- Division of Diabetology and Metabolism, Department of Internal Medicine, Tokyo Women's Medical University School of Medicine, Tokyo, Japan
| | - Hiroko Takaike
- Division of Diabetology and Metabolism, Department of Internal Medicine, Tokyo Women's Medical University School of Medicine, Tokyo, Japan
| | - Sari Hoshina
- Division of Diabetology and Metabolism, Department of Internal Medicine, Tokyo Women's Medical University School of Medicine, Tokyo, Japan
| | - Masao Toyoda
- Division of Nephrology, Endocrinology and Metabolism, Department of Internal Medicine, Tokai University School of Medicine, Isehara, Japan
| | - Nobumichi Saito
- Division of Nephrology, Endocrinology and Metabolism, Department of Internal Medicine, Tokai University School of Medicine, Isehara, Japan
| | - Kiminori Hosoda
- Division of Diabetes and Lipid Metabolism, National Cerebral and Cardiovascular Center, Osaka, Japan
| | - Masaki Matsubara
- Division of Diabetes and Lipid Metabolism, National Cerebral and Cardiovascular Center, Osaka, Japan
- Department of General Medicine, Nara Medical University, Nara, Japan
| | - Atsuhito Tone
- Department of Internal Medicine, Okayama Saiseikai General Hospital, Okayama, Japan
| | | | - Hideaki Sawaki
- Sawaki Internal Medicine and Diabetes Clinic, Osaka, Japan
| | | | - Masayuki Domichi
- Division of Preventive Medicine, Clinical Research Institute, National Hospital Organization Kyoto Medical Center, Kyoto, Japan
| | - Akiko Suganuma
- Division of Preventive Medicine, Clinical Research Institute, National Hospital Organization Kyoto Medical Center, Kyoto, Japan
| | - Seiko Sakane
- Division of Preventive Medicine, Clinical Research Institute, National Hospital Organization Kyoto Medical Center, Kyoto, Japan
| | - Takashi Murata
- Department of Clinical Nutrition, National Hospital Organization Kyoto Medical Center, Kyoto, Japan
- Diabetes Center, National Hospital Organization Kyoto Medical Center, Kyoto, Japan
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5
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Shin A, Connolly S, Kabytaev K. Protein glycation in diabetes mellitus. Adv Clin Chem 2023; 113:101-156. [PMID: 36858645 DOI: 10.1016/bs.acc.2022.11.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/05/2023]
Abstract
Diabetes mellitus is the ninth leading cause of mortality worldwide. It is a complex disease that manifests as chronic hyperglycemia. Glucose exposure causes biochemical changes at the proteome level as reflected in accumulation of glycated proteins. A prominent example is hemoglobin A1c (HbA1c), a glycated protein widely accepted as a diabetic indicator. Another emerging biomarker is glycated albumin which has demonstrated utility in situations where HbA1c cannot be used. Other proteins undergo glycation as well thus impacting cellular function, transport and immune response. Accordingly, these glycated counterparts may serve as predictors for diabetic complications and thus warrant further inquiry. Fortunately, modern proteomics has provided unique analytic capability to enable improved and more comprehensive exploration of glycating agents and glycated proteins. This review broadly covers topics from epidemiology of diabetes to modern analytical tools such as mass spectrometry to facilitate a better understanding of diabetes pathophysiology. This serves as an attempt to connect clinically relevant questions with findings of recent proteomic studies to suggest future avenues of diabetes research.
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Affiliation(s)
- Aleks Shin
- Department of Pathology & Anatomical Sciences, School of Medicine, University of Missouri, Columbia, MO, United States
| | - Shawn Connolly
- Department of Pathology & Anatomical Sciences, School of Medicine, University of Missouri, Columbia, MO, United States
| | - Kuanysh Kabytaev
- Department of Pathology & Anatomical Sciences, School of Medicine, University of Missouri, Columbia, MO, United States.
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6
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Wang RC, Lee EE, De Simone N, Kathote G, Primeaux S, Avila A, Yu DM, Johnson M, Good LB, Jakkamsetti V, Sarode R, Holland AA, Pascual JM. Red blood cells as glucose carriers to the human brain: Modulation of cerebral activity by erythrocyte exchange transfusion in Glut1 deficiency (G1D). J Cereb Blood Flow Metab 2023; 43:357-368. [PMID: 36523131 PMCID: PMC9941860 DOI: 10.1177/0271678x221146121] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/15/2022] [Revised: 11/08/2022] [Accepted: 11/14/2022] [Indexed: 12/23/2022]
Abstract
Red blood cells circulating through the brain are briefly but closely apposed to the capillary endothelium. We hypothesized that this contact provides a nearly direct pathway for metabolic substrate transfer to neural cells that complements the better characterized plasma to endothelium transfer. While brain function is considered independent of normal fluctuations in blood glucose concentration, this is not borne out by persons with glucose transporter I (GLUT1) deficiency (G1D). In them, encephalopathy is often ameliorated by meal or carbohydrate administration, and this enabled us to test our hypothesis: Since red blood cells contain glucose, and since the red cells of G1D individuals are also deficient in GLUT1, replacing them with normal donor cells via exchange transfusion could augment erythrocyte to neural cell glucose transport via mass action in the setting of unaltered erythrocyte count or plasma glucose abundance. This motivated us to perform red blood cell exchange in 3 G1D persons. There were rapid, favorable and unprecedented changes in cognitive, electroencephalographic and quality-of-life measures. The hypothesized transfer mechanism was further substantiated by in vitro measurement of direct erythrocyte to endothelial cell glucose flux. The results also indicate that the adult intellect is capable of significant enhancement without deliberate practice. ClinicalTrials.gov registration: NCT04137692 https://clinicaltrials.gov/ct2/show/NCT04137692.
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Affiliation(s)
- Richard C Wang
- Department of Dermatology, The University of Texas Southwestern
Medical Center, Dallas, Texas, USA
| | - Eunice E Lee
- Department of Dermatology, The University of Texas Southwestern
Medical Center, Dallas, Texas, USA
| | - Nicole De Simone
- Department of Pathology, The University of Texas Southwestern
Medical Center, Dallas, Texas, USA
| | - Gauri Kathote
- Rare Brain Disorders Program, The University of Texas
Southwestern Medical Center, Dallas, Texas, USA
- Department of Neurology, The University of Texas Southwestern
Medical Center, Dallas, Texas, USA
| | - Sharon Primeaux
- Rare Brain Disorders Program, The University of Texas
Southwestern Medical Center, Dallas, Texas, USA
- Department of Neurology, The University of Texas Southwestern
Medical Center, Dallas, Texas, USA
| | - Adrian Avila
- Rare Brain Disorders Program, The University of Texas
Southwestern Medical Center, Dallas, Texas, USA
- Department of Neurology, The University of Texas Southwestern
Medical Center, Dallas, Texas, USA
| | - Dong-Min Yu
- Department of Dermatology, The University of Texas Southwestern
Medical Center, Dallas, Texas, USA
| | - Mark Johnson
- Department of Neurology, The University of Texas Southwestern
Medical Center, Dallas, Texas, USA
| | - Levi B Good
- Rare Brain Disorders Program, The University of Texas
Southwestern Medical Center, Dallas, Texas, USA
- Department of Neurology, The University of Texas Southwestern
Medical Center, Dallas, Texas, USA
| | - Vikram Jakkamsetti
- Rare Brain Disorders Program, The University of Texas
Southwestern Medical Center, Dallas, Texas, USA
- Department of Neurology, The University of Texas Southwestern
Medical Center, Dallas, Texas, USA
| | - Ravi Sarode
- Departments of Pathology and Internal Medicine, The University
of Texas Southwestern Medical Center, Dallas, Texas, USA
| | - Alice Ann Holland
- Department of Psychiatry, The University of Texas Southwestern
Medical Center, Dallas, Texas, USA
| | - Juan M Pascual
- Rare Brain Disorders Program, The University of Texas
Southwestern Medical Center, Dallas, Texas, USA
- Department of Neurology, The University of Texas Southwestern
Medical Center, Dallas, Texas, USA
- Department of Physiology, The University of Texas Southwestern
Medical Center, Dallas, Texas, USA
- Department of Pediatrics, The University of Texas Southwestern
Medical Center, Dallas, Texas, USA
- Eugene McDermott Center for Human Growth &
Development/Center for Human Genetics, The University of Texas Southwestern
Medical Center, Dallas, Texas, USA
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7
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Loyola-Leyva A, Loyola-Rodríguez JP, Barquera S, González FJ, Camacho-Lopez S, Terán-Figueroa Y. Differences in erythrocytes size and shape in prediabetes and diabetes assessed by two microscopy techniques and its association with dietary patterns. Pilot study. Microsc Res Tech 2022; 85:3726-3735. [PMID: 36165223 DOI: 10.1002/jemt.24238] [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: 02/17/2022] [Revised: 08/08/2022] [Accepted: 09/03/2022] [Indexed: 11/06/2022]
Abstract
Hemorheology and microcirculation alterations are caused by erythrocyte size and shape (ESS) modifications. People´s diets can alter erythrocyte functions and membrane fluidity by changing cell membrane components. The aim was to identify differences in ESS obtained by scanning electron (SEM) and atomic force microscopy (AFM) in people with prediabetes and type 2 diabetes (T2DM) and assess their relationship with dietary patterns. The study population included 31 participants (14 healthy, 11 with prediabetes, and 6 with T2DM). Dietary intake was assessed by a food frequency questionnaire, and dietary patterns were obtained using principal component analysis. ESS (diameter, height, axial ratio, thickness, and concave depth) were obtained by SEM and AFM. Differences in ESS between groups were observed with SEM (height) and AFM (height, axial ratio, and concave depth). T2DM presented smaller erythrocytes, more elongated and more altered forms. Two dietary patterns were identified: (1) Unhealthy: more refined cereals, high-fat dairy, fast food, sugary beverages, and fewer fruits, fish, seafood, low-fat dairy, and water. (2) Prudent: higher consumption of refined cereals, vegetables, poultry, low-fat dairy and nuts, and lower tortillas, eggs, high-fat dairy, and legumes. Tertile 3 of the Unhealthy dietary pattern had 80% of healthy participants. A difference in diameter and height (0.44 and 0.32 μm, respectively) obtained by SEM was observed when comparing tertile 2 (smaller erythrocytes) versus tertile 3 in the Unhealthy dietary pattern. SEM and AFM are excellent tools to assess ESS. Unhealthy dietary patterns might be associated with altered ESS. HIGHLIGHTS: SEM and AFM are excellent tools to assess erythrocyte size and shape modifications. Two dietary patterns were identified: healthy and prudent. Smaller erythrocytes were observed in the second tertile of the unhealthy pattern.
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Affiliation(s)
- Alejandra Loyola-Leyva
- Terahertz Science and Technology National Lab, Coordination for Innovation and Application of Science and Technology (Coordinación para la Innovación y Aplicación de la Ciencia y Tecnología, CIACyT), San Luis Potosí, Mexico
| | | | - Simon Barquera
- Center for Nutrition and Health Research, National Institute of Public Health (Instituto Nacional de Salud Pública), Morelos, Mexico
| | - Francisco Javier González
- Terahertz Science and Technology National Lab, Coordination for Innovation and Application of Science and Technology (Coordinación para la Innovación y Aplicación de la Ciencia y Tecnología, CIACyT), San Luis Potosí, Mexico
| | - Santiago Camacho-Lopez
- Department of Optics, Center for Scientific Research and Higher Education of Ensenada (Centro de Investigación Científica y de Educación Superior de Ensenada, CICESE), Ensenada, Baja California, Mexico
| | - Yolanda Terán-Figueroa
- Faculty of Nursing and Nutrition, Autonomous University of San Luis Potosí (Universidad Autónoma de San Luis Potosí, UASLP), San Luis Potosí, Mexico
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8
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Rescalli A, Varoni EM, Cellesi F, Cerveri P. Analytical Challenges in Diabetes Management: Towards Glycated Albumin Point-of-Care Detection. BIOSENSORS 2022; 12:bios12090687. [PMID: 36140073 PMCID: PMC9496022 DOI: 10.3390/bios12090687] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/18/2022] [Revised: 08/20/2022] [Accepted: 08/23/2022] [Indexed: 11/16/2022]
Abstract
Diabetes mellitus is a worldwide-spread chronic metabolic disease that occurs when the pancreas fails to produce enough insulin levels or when the body fails to effectively use the secreted pancreatic insulin, eventually resulting in hyperglycemia. Systematic glycemic control is the only procedure at our disposal to prevent diabetes long-term complications such as cardiovascular disorders, kidney diseases, nephropathy, neuropathy, and retinopathy. Glycated albumin (GA) has recently gained more and more attention as a control biomarker thanks to its shorter lifespan and wider reliability compared to glycated hemoglobin (HbA1c), currently the “gold standard” for diabetes screening and monitoring in clinics. Various techniques such as ion exchange, liquid or affinity-based chromatography and immunoassay can be employed to accurately measure GA levels in serum samples; nevertheless, due to the cost of the lab equipment and complexity of the procedures, these methods are not commonly available at clinical sites and are not suitable to home monitoring. The present review describes the most up-to-date advances in the field of glycemic control biomarkers, exploring in particular the GA with a special focus on the recent experimental analysis techniques, using enzymatic and affinity methods. Finally, analysis steps and fundamental reading technologies are integrated into a processing pipeline, paving the way for future point-of-care testing (POCT). In this view, we highlight how this setup might be employed outside a laboratory environment to reduce the time from measurement to clinical decision, and to provide diabetic patients with a brand-new set of tools for glycemic self-monitoring.
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Affiliation(s)
- Andrea Rescalli
- Department of Electronics, Information and Bioengineering, Politecnico di Milano, 20133 Milan, Italy
- Correspondence: (A.R.); (E.M.V.)
| | - Elena Maria Varoni
- Department of Biomedical, Surgical and Dental Sciences, Università degli Studi di Milano, 20122 Milan, Italy
- Correspondence: (A.R.); (E.M.V.)
| | - Francesco Cellesi
- Department of Chemistry, Materials and Chemical Engineering “Giulio Natta”, Politecnico di Milano, 20133 Milan, Italy
| | - Pietro Cerveri
- Department of Electronics, Information and Bioengineering, Politecnico di Milano, 20133 Milan, Italy
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9
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Abstract
A high hemoglobin glycation index (HGI) has been repeatedly associated with greater risk for hypoglycemia in people with diabetes and greater risk for chronic vascular disease in people with or without diabetes. This review explores how different sources of analytical and biological variation in HbA1c and blood glucose individually and collectively affect the clinical information value of HGI. We conclude that HGI is a complex quantitative trait that is a clinically practical biomarker of risk for both hypoglycemia and chronic vascular disease.
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Affiliation(s)
- James M Hempe
- Department of Pediatrics, Louisiana State University Health Sciences Center, New Orleans, LA, USA.
| | - Daniel S Hsia
- Pennington Biomedical Research Center, Baton Rouge, LA, USA
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10
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Campbell MD, West DJ, O’Mahoney LL, Pearson S, Kietsiriroje N, Holmes M, Ajjan RA. The relative contribution of diurnal and nocturnal glucose exposures to HbA1c in type 1 diabetes males: a pooled analysis. J Diabetes Metab Disord 2022; 21:573-581. [PMID: 35673512 PMCID: PMC9167262 DOI: 10.1007/s40200-022-01015-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/11/2021] [Accepted: 02/28/2022] [Indexed: 11/25/2022]
Abstract
Purpose The exact contribution of daily glucose exposure to HbA1c in people with type 1 diabetes (T1D) remains controversial. We examined the contribution of pre- and postprandial glycaemia, nocturnal and early-morning glycaemia, and glycaemic variability to HbA1c levels in T1D. In this analysis, we used clinical data, namely age, BMI and HbA1c, as well as glycaemic metrics (24-h glycaemia, postprandial, nocturnal, early-morning glycaemia, wake-up glucose, and glycaemic variability) obtained over a four-week period of continuous glucose monitoring (CGM) wear in thirty-two males with T1D. Methods The trapezoid method was used estimate the incremental area under the glucose curve (iAUC) for 24-h, postprandial (3-h period following breakfast, lunch, and dinner, respectively), nocturnal (between 24:00–04:00 AM), and early-morning (2-h period 2-h prior to wake-up) glycaemia. Linear regression analysis was employed whereby CGM-derived glycaemic metrics were explanatory variables and HbA1c was the outcome. Results Thirty-two T1D males (mean ± SD: age 29 ± 4 years; HbA1c 7.3 ± 0.9% [56 ± 13 mmol/mol]; BMI 25.80 ± 5.01 kg/m2) were included in this analysis. In linear models adjusted for age and BMI, HbA1c was associated with 24-h mean glucose (r2 = 0.735, p < 0.001), SD (r2 = 0.643, p = 0.039), and dinner iAUC (r2 = 0.711, p = 0.001). CGM-derived metrics and non-glycaemic factors explained 77% of the variance in HbA1c, in which postprandial glucose accounted for 32% of the variance explained. The single greatest contributor to HbA1c was dinner iAUC resulting in 0.6%-point (~7 mmol/mol) increase in HbA1c per SD increase in dinner iAUC. Conclusions Using comprehensive CGM profiling, we show that postprandial glucose, specifically evening-time postprandial glucose, is the single largest contributing factor to HbA1c in T1D. Trial registration number NCT02204839 (July 30th 2014); NCT02595658 (November 3rd 2015).
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Affiliation(s)
- Matthew D. Campbell
- Faculty of Health Sciences and Wellbeing, University of Sunderland, Sunderland, SR1 3SD UK
- Leeds Institute for Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, UK
| | - Daniel J. West
- Human Nutrition Research Centre, Newcastle University, Newcastle, UK
- Population Health Science Institute, Faculty of Medical Science, Newcastle University, Newcastle, UK
| | - Lauren L. O’Mahoney
- Diabetes Research Centre, Leicester General Hospital, University of Leicester, Leicester, UK
| | - Sam Pearson
- Leeds Institute for Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, UK
| | - Noppadol Kietsiriroje
- Leeds Institute for Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, UK
- Faculty of Medicine, Prince of Songkla University, Songkhla, Thailand
| | - Mel Holmes
- Leeds Institute for Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, UK
| | - Ramzi A. Ajjan
- Leeds Institute for Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, UK
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11
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Klein KR, Franek E, Marso S, Pieber TR, Pratley RE, Gowda A, Kvist K, Buse JB. Hemoglobin glycation index, calculated from a single fasting glucose value, as a prediction tool for severe hypoglycemia and major adverse cardiovascular events in DEVOTE. BMJ Open Diabetes Res Care 2021; 9:e002339. [PMID: 34819298 PMCID: PMC8614152 DOI: 10.1136/bmjdrc-2021-002339] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/20/2021] [Accepted: 10/31/2021] [Indexed: 11/04/2022] Open
Abstract
INTRODUCTION Hemoglobin glycation index (HGI) is the difference between observed and predicted glycated hemoglobin A1c (HbA1c), derived from mean or fasting plasma glucose (FPG). In this secondary, exploratory analysis of data from DEVOTE, we examined: whether insulin initiation/titration affected the HGI; the relationship between baseline HGI tertile and cardiovascular and hypoglycemia risk; and the relative strengths of HGI and HbA1c in predicting these risks. RESEARCH DESIGN AND METHODS In DEVOTE, a randomized, double-blind, cardiovascular outcomes trial, people with type 2 diabetes received once per day insulin degludec or insulin glargine 100 units/mL. The primary outcome was time to first occurrence of a major adverse cardiovascular event (MACE), comprising cardiovascular death, myocardial infarction or stroke; severe hypoglycemia was a secondary outcome. In these analyses, predicted HbA1c was calculated using a linear regression equation based on DEVOTE data (HbA1c=0.01313 FPG (mg/dL) (single value)+6.17514), and the population data were grouped into HGI tertiles based on the calculated HGI values. The distributions of time to first event were compared using Kaplan-Meier curves; HRs and 95% CIs were determined by Cox regression models comparing risk of MACE and severe hypoglycemia between tertiles. RESULTS Changes in HGI were observed at 12 months after insulin initiation and stabilized by 24 months for the whole cohort and insulin-naive patients. There were significant differences in MACE risk between baseline HGI tertiles; participants with high HGI were at highest risk (low vs high, HR: 0.73 (0.61 to 0.87)95% CI; moderate vs high, HR: 0.67 (0.56 to 0.81)95% CI; p<0.0001). No significant differences between HGI tertiles were observed in the risk of severe hypoglycemia (p=0.0911). With HbA1c included within the model, HGI no longer significantly predicted MACE. CONCLUSIONS High HGI was associated with a higher risk of MACE; this finding is of uncertain significance given the association of HGI with insulin initiation and HbA1c. TRIAL REGISTRATION NUMBER NCT01959529.
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Affiliation(s)
- Klara R Klein
- Division of Endocrinology and Metabolism, Department of Medicine, University of North Carolina at Chapel Hill School of Medicine, Chapel Hill, North Carolina, USA
| | - Edward Franek
- Mossakowski Medical Research Centre, Polish Academy of Sciences, Central Clinical Hospital MSW, Warsaw, Poland
| | - Steven Marso
- HCA Midwest Health Heart and Vascular Institute, Overland Park, Kansas, USA
| | - Thomas R Pieber
- Division of Endocrinology and Diabetology, Department of Internal Medicine, Medical University of Graz, Graz, Austria
| | - Richard E Pratley
- AdventHealth Translational Research Institute, Orlando, Florida, USA
| | | | | | - John B Buse
- Division of Endocrinology and Metabolism, Department of Medicine, University of North Carolina at Chapel Hill School of Medicine, Chapel Hill, North Carolina, USA
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12
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Kohzuma T, Tao X, Koga M. Glycated albumin as biomarker: Evidence and its outcomes. J Diabetes Complications 2021; 35:108040. [PMID: 34507877 DOI: 10.1016/j.jdiacomp.2021.108040] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/28/2021] [Revised: 08/25/2021] [Accepted: 08/25/2021] [Indexed: 02/01/2023]
Abstract
Glycemic control markers are important for the diagnosis and treatment of diabetes. Hemoglobin A1c (A1C) is an important marker that is mandatory in routine medical examinations; however, it is well known that it has some limitations. In this review, we focus on the limitation of A1C and introduce a relatively new marker, glycated albumin (GA), which can be used to complement A1C. First, for a better understanding of the characteristics of each marker, we sort the similarities and differences of glycemic control markers as well as the characteristics of each marker. Second, we point out the limitation of A1C, introduce GA as an alternative indicator, and discuss the limitations of GA. Finally, we summarize important evidence regarding the utility of GA. We hope that this review provides useful information that permits more effective usage of GA as well as other glycemic control markers.
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Affiliation(s)
| | - Xinran Tao
- Asahi Kasei Pharma Corporation, Tokyo, Japan
| | - Masafumi Koga
- Department of Internal Medicine, Hakuhokai Central Hospital, Hyogo, Japan
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13
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Xu Y, Bergenstal RM, Dunn TC, Ajjan RA. Addressing shortfalls of laboratory HbA 1c using a model that incorporates red cell lifespan. eLife 2021; 10:69456. [PMID: 34515636 PMCID: PMC8437432 DOI: 10.7554/elife.69456] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2021] [Accepted: 08/24/2021] [Indexed: 12/19/2022] Open
Abstract
Laboratory HbA1c does not always predict diabetes complications and our aim was to establish a glycaemic measure that better reflects intracellular glucose exposure in organs susceptible to complications. Six months of continuous glucose monitoring data and concurrent laboratory HbA1c were evaluated from 51 type 1 diabetes (T1D) and 80 type 2 diabetes (T2D) patients. Red blood cell (RBC) lifespan was estimated using a kinetic model of glucose and HbA1c, allowing the calculation of person-specific adjusted HbA1c (aHbA1c). Median (IQR) RBC lifespan was 100 (86–102) and 100 (83–101) days in T1D and T2D, respectively. The median (IQR) absolute difference between aHbA1c and laboratory HbA1c was 3.9 (3.0–14.3) mmol/mol [0.4 (0.3–1.3%)] in T1D and 5.3 (4.1–22.5) mmol/mol [0.5 (0.4–2.0%)] in T2D. aHbA1c and laboratory HbA1c showed clinically relevant differences. This suggests that the widely used measurement of HbA1c can underestimate or overestimate diabetes complication risks, which may have future clinical implications.
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Affiliation(s)
- Yongjin Xu
- Abbott Diabetes Care, Alameda, United States
| | - Richard M Bergenstal
- International Diabetes Center, Park Nicollet, HealthPartners, Minneapolis, United States
| | | | - Ramzi A Ajjan
- Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, United Kingdom
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14
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Chalew S, Delamater AM, Washington S, Bhat J, Franz D, Gomez R, Felipe D, Tieh P, Finger L. Can Innovative Technologies Overcome HbA1c Disparity for African-American Youth with Type 1 Diabetes? J Diabetes Sci Technol 2021; 15:1069-1075. [PMID: 34137288 PMCID: PMC8442203 DOI: 10.1177/19322968211021386] [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] [Indexed: 11/15/2022]
Abstract
Achieving normal or near-normal glycemic control as reflected by HbA1c levels in patients with type 1 diabetes (T1D) is important for preventing the development and progression of chronic complications. Despite delineation and dissemination of HbA1c management targets and advances in insulin pharmacology, insulin delivery systems, and glucose monitoring, the majority of children with T1D do not achieve HbA1c goals. In particular, African Americans are more likely not to reach HbA1c goals and have persistently higher HbA1c than Non-Hispanic Whites. Availability of pumps and other technology has not eliminated the disparity in HbA1c. Multiple factors play a role in the persisting racial disparity in HbA1c outcome. The carefully designed application and deployment of new technology to help the patient/family and facilitate the supportive role of the diabetes management team may be able to overcome racial disparity in glycemic outcome and improve patient quality of life.
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Affiliation(s)
- Stuart Chalew
- Department of Pediatrics,
Division of Pediatric Endocrinology and Diabetes, School of Medicine,
Louisiana State University Health Sciences Center, Children’s Hospital of
New Orleans, New Orleans, LA, USA
- Stuart Chalew, MD, Department of
Pediatrics, Endocrinology and Diabetes, School of Medicine, Louisiana
State University Health Sciences Center, Children’s Hospital of New
Orleans, 200 Henry Clay Avenue, New Orleans, LA 70118, USA.
| | - Alan M. Delamater
- Department of Pediatrics,
University of Miami Miller School of Medicine, Miami, FL, USA
| | - Sonja Washington
- Endocrinology and Diabetes, The
Children’s Hospital of New Orleans, New Orleans, LA, USA
| | - Jayalakshmi Bhat
- Department of Pediatrics,
Division of Pediatric Endocrinology and Diabetes, School of Medicine,
Louisiana State University Health Sciences Center, Children’s Hospital of
New Orleans, New Orleans, LA, USA
| | - Diane Franz
- Department of Psychology, The
Children’s Hospital of New Orleans, New Orleans, LA, USA
| | - Ricardo Gomez
- Department of Pediatrics,
Division of Pediatric Endocrinology and Diabetes, School of Medicine,
Louisiana State University Health Sciences Center, Children’s Hospital of
New Orleans, New Orleans, LA, USA
| | - Dania Felipe
- Department of Pediatrics,
Division of Pediatric Endocrinology and Diabetes, School of Medicine,
Louisiana State University Health Sciences Center, Children’s Hospital of
New Orleans, New Orleans, LA, USA
| | - Peter Tieh
- Department of Pediatrics,
Division of Pediatric Endocrinology and Diabetes, School of Medicine,
Louisiana State University Health Sciences Center, Children’s Hospital of
New Orleans, New Orleans, LA, USA
| | - Laurie Finger
- Endocrinology and Diabetes, The
Children’s Hospital of New Orleans, New Orleans, LA, USA
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15
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Wondimu ET, Zhang Q, Jin Z, Fu M, Torregrossa R, Whiteman M, Yang G, Wu L, Wang R. Effect of hydrogen sulfide on glycolysis-based energy production in mouse erythrocytes. J Cell Physiol 2021; 237:763-773. [PMID: 34346059 DOI: 10.1002/jcp.30544] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2021] [Revised: 07/06/2021] [Accepted: 07/24/2021] [Indexed: 11/08/2022]
Abstract
Hydrogen sulfide (H2 S) is a gasotransmitter that regulates both physiological and pathophysiological processes in mammalian cells. Recent studies have demonstrated that H2 S promotes aerobic energy production in the mitochondria in response to hypoxia, but its effect on anaerobic energy production has yet to be established. Glycolysis is the anaerobic process by which ATP is produced through the metabolism of glucose. Mammalian red blood cells (RBCs) extrude mitochondria and nucleus during erythropoiesis. These cells would serve as a unique model to observe the effect of H2 S on glycolysis-mediated energy production. The purpose of this study was to determine the effect of H2 S on glycolysis-mediated energy production in mitochondria-free mouse RBCs. Western blot analysis showed that the only H2 S-generating enzyme expressed in mouse RBCs is 3-mercaptopyruvate sulfurtransferase (MST). Supplement of the substrate for MST stimulated, but the inhibition of the same suppressed, the endogenous production of H2 S. Both exogenously administered H2 S salt and MST-derived endogenous H2 S stimulated glycolysis-mediated ATP production. The effect of NaHS on ATP levels was not affected by oxygenation status. On the contrary, hypoxia increased intracellular H2 S levels and MST activity in mouse RBCs. The mitochondria-targeted H2 S donor, AP39, did not affect ATP levels of mouse RBCs. NaHS at low concentrations (3-100 μM) increased ATP levels and decreased cell viability after 3 days of incubation in vitro. Higher NaHS concentrations (300-1000 μM) lowered ATP levels, but prolonged cell viability. H2 S may offer a cytoprotective effect in mammalian RBCs to maintain oxygen-independent energy production.
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Affiliation(s)
- Eden T Wondimu
- Cardiovascular and Metabolic Research Unit, Laurentian University, Sudbury, Ontario, Canada.,Department of Biology, Laurentian University, Sudbury, Ontario, Canada
| | - Quanxi Zhang
- Cardiovascular and Metabolic Research Unit, Laurentian University, Sudbury, Ontario, Canada.,School of Life Science, Shanxi University, Taiyuan, China
| | - Zhuping Jin
- Cardiovascular and Metabolic Research Unit, Laurentian University, Sudbury, Ontario, Canada.,School of Life Science, Shanxi University, Taiyuan, China
| | - Ming Fu
- Cardiovascular and Metabolic Research Unit, Laurentian University, Sudbury, Ontario, Canada.,School of Human Kinetics, Laurentian University, Sudbury, Ontario, Canada
| | - Roberta Torregrossa
- University of Exeter Medical School, Exeter, UK.,MitoRx Therapeutics, Oxford, UK
| | - Matthew Whiteman
- University of Exeter Medical School, Exeter, UK.,MitoRx Therapeutics, Oxford, UK
| | - Guangdong Yang
- Cardiovascular and Metabolic Research Unit, Laurentian University, Sudbury, Ontario, Canada.,Department of Chemistry and Biochemistry, Laurentian University, Sudbury, Ontario, Canada
| | - Lingyun Wu
- Cardiovascular and Metabolic Research Unit, Laurentian University, Sudbury, Ontario, Canada.,School of Human Kinetics, Laurentian University, Sudbury, Ontario, Canada.,Health Sciences North Research Institute, Sudbury, Ontario, Canada
| | - Rui Wang
- Department of Biology, York University, Toronto, Ontario, Canada
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16
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Xu Y, Grimsmann JM, Karges B, Hofer S, Danne T, Holl RW, Ajjan RA, Dunn TC. Personal Glycation Factors and Calculated Hemoglobin A1c for Diabetes Management: Real-World Data from the Diabetes Prospective Follow-up (DPV) Registry. Diabetes Technol Ther 2021; 23:452-459. [PMID: 33395370 DOI: 10.1089/dia.2020.0553] [Citation(s) in RCA: 10] [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] [Indexed: 01/18/2023]
Abstract
Background: Glycated hemoglobin A1c (HbA1c) is a key biomarker in the glycemic management of individuals with diabetes, but the relationship with glucose levels can be variable. A recent kinetic model has described a calculated HbA1c (cHbA1c) that is individual specific. Our aim was to validate the routine clinical use of this glucose metric in younger individuals with diabetes under real-life settings. Materials and Methods: We retrieved HbA1c and glucose data from the German-Austrian-Swiss-Luxembourgian diabetes follow-up (DPV) registry, which covers pediatric individuals with type 1 diabetes (T1D). The new glycemic measure, cHbA1c, uses two individual parameters identified by data sections that contain continuous glucose data between two laboratory HbA1c measurements. The cHbA1c was prospectively validated using longitudinal HbA1c data. Results: Continuous glucose monitoring data from 352 T1D individuals in 13 clinics were analyzed together with HbA1c that ranged between 4.9% and 10.6%. In the prospective analysis, absolute deviations of estimated HbA1c (eHbA1c), glucose management indicator (GMI), and cHbA1c compared with laboratory HbA1c were (median [interquartile range]): 1.01 (0.50, 1.75), 0.46 (0.21, 084) and 0.26 (0.12, 0.46), giving an average bias of 0.6, 0.4 and 0.0, respectively, in National Glycohemoglobin Standardization Program (NGSP) % unit. For eHbA1c and GMI only 25% and 54% of subjects were within ±0.5% of laboratory HbA1c values, whereas 82% of cHbA1c were within ±0.5% of laboratory HbA1c results. Conclusions: Our data show the superior performance of cHbA1c compared with eHbA1c and GMI at reflecting laboratory HbA1c. These data indicate that cHbA1c can be potentially used instead in laboratory HbA1c, at least in younger individuals with T1D.
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Affiliation(s)
- Yongjin Xu
- Clinical and Computational Research, Abbott Diabetes Care, Alameda, California, USA
| | - Julia M Grimsmann
- Institute of Epidemiology and Medical Biometry, Central Institute for Biomedical Technology, University of Ulm, Ulm, Germany
- German Center for Diabetes Research (DZD), Munich-Neuherberg, Germany
| | - Beate Karges
- Division of Endocrinology and Diabetes, Medical Faculty, RWTH Aachen University, Aachen, Germany
| | - Sabine Hofer
- Department of Paediatrics I, Medical University of Innsbruck, Innsbruck, Austria
| | - Thomas Danne
- Diabetes Centre for Children and Adolescents, Children's and Youth Hospital "Auf der Bult," Hannover, Germany
| | - Reinhard W Holl
- Institute of Epidemiology and Medical Biometry, Central Institute for Biomedical Technology, University of Ulm, Ulm, Germany
- German Center for Diabetes Research (DZD), Munich-Neuherberg, Germany
| | - Ramzi A Ajjan
- Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, United Kingdom
| | - Timothy C Dunn
- Clinical and Computational Research, Abbott Diabetes Care, Alameda, California, USA
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17
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Chen Y, Pan Y, Feng Y, Li D, Man J, Feng L, Zhang D, Chen H, Chen H. Role of glucose in the repair of cell membrane damage during squeeze distortion of erythrocytes in microfluidic capillaries. LAB ON A CHIP 2021; 21:896-903. [PMID: 33432946 DOI: 10.1039/d0lc00411a] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/12/2023]
Abstract
The rapid development of portable precision detection methods and the crisis of insufficient blood supply worldwide has led scientists to study mechanical visualization features beyond the biochemical properties of erythrocytes. Combined evaluation of currently known biochemical biomarkers and mechanical morphological biomarkers will become the mainstream of single-cell detection in the future. To explore the mechanical morphology of erythrocytes, a microfluidic capillary system was constructed in vitro, with flow velocity and glucose concentration as the main variables, and the morphology and ability of erythrocytes to recover from deformation as the main objects of analysis. We showed the mechanical distortion of erythrocytes under various experimental conditions. Our results showed that glucose plays important roles in improving the ability of erythrocytes to recover from deformation and in repairing the damage caused to the cell membrane during the repeated squeeze process. These protective effects were also confirmed in in vivo experiments. Our results provide visual detection markers for single-cell chips and may be useful for future studies in cell aging.
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Affiliation(s)
- Yuanyuan Chen
- State Key Laboratory of Tribology, Mechanical Engineering Department, Tsinghua University, Beijing, 100084, China. and School of Mechanical Engineering and Automation, Beijing Advanced Innovation Center for Biomedical Engineering, Institute of Bionic and Micro-Nano Systems, Beihang University, Beijing, 100191, China
| | - Yunfan Pan
- State Key Laboratory of Tribology, Mechanical Engineering Department, Tsinghua University, Beijing, 100084, China.
| | - Yuzhen Feng
- Moleculaire Biofysica, Zernike Institute, Rijksuniversiteit Groningen, Nijenborgh 4, 9747 AG Groningen, Netherlands
| | - Donghai Li
- Advanced Medical Research Institute, Shandong University, 44 Wenhua Xi Road, Jinan, Shandong 250012, P.R China
| | - Jia Man
- Key Laboratory of High Efficiency and Clean Mechanical Manufacture of MOE, School of Mechanical Engineering, Key National Demonstration Center for Experimental Mechanical Engineering Education, Shandong University, Jinan 250061, PR China
| | - Lin Feng
- School of Mechanical Engineering and Automation, Beijing Advanced Innovation Center for Biomedical Engineering, Institute of Bionic and Micro-Nano Systems, Beihang University, Beijing, 100191, China
| | - Deyuan Zhang
- School of Mechanical Engineering and Automation, Beijing Advanced Innovation Center for Biomedical Engineering, Institute of Bionic and Micro-Nano Systems, Beihang University, Beijing, 100191, China
| | - Huawei Chen
- School of Mechanical Engineering and Automation, Beijing Advanced Innovation Center for Biomedical Engineering, Institute of Bionic and Micro-Nano Systems, Beihang University, Beijing, 100191, China
| | - Haosheng Chen
- State Key Laboratory of Tribology, Mechanical Engineering Department, Tsinghua University, Beijing, 100084, China.
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18
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Xu Y, Dunn TC, Ajjan RA. A Kinetic Model for Glucose Levels and Hemoglobin A1c Provides a Novel Tool for Individualized Diabetes Management. J Diabetes Sci Technol 2021; 15:294-302. [PMID: 31910672 PMCID: PMC8256073 DOI: 10.1177/1932296819897613] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/15/2023]
Abstract
BACKGROUND Regular assessment of glycated hemoglobin (HbA1c) is central to the management of patients with diabetes. Estimated HbA1c (eHbA1c) from continuous glucose monitoring (CGM) has been proposed as a measure that reflects laboratory HbA1c. However, discrepancies between the two markers are common, limiting the clinical use of eHbA1c. Therefore, developing a glycemic maker that better reflects laboratory HbA1c will be highly relevant in diabetes management. METHODS Using CGM data from two previous clinical studies in 120 individuals with diabetes, we derived a novel kinetic model that takes into account red blood cell (RBC) turnover, cross-membrane glucose transport, and hemoglobin glycation processes to individualize the relationship between glucose levels and HbA1c. RESULTS Using CGM data and two laboratory HbA1c measurements, kinetic rate constants for RBC glycation and turnover were calculated. These rate constants were used to project future HbA1c, creating a new individualized glycemic marker, termed calculated HbA1c (cHbA1c). In contrast to eHbA1c, the new glycemic marker cHbA1c gave an accurate estimation of laboratory HbA1c across individuals. The model and data demonstrated a non-linear relationship between laboratory HbA1c and steady-state glucose and also showed that glycation status is modulated by age. CONCLUSION Our kinetic model offers mechanistic insights into the relationship between glucose levels and glycated hemoglobin. Therefore, the new glycemic marker does not only accurately reflect laboratory HbA1c but also provides novel concepts to explain the mechanisms for the mismatch between HbA1c and average glucose in some individuals, which has implications for future clinical management.
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Affiliation(s)
- Yongjin Xu
- Abbott Diabetes Care, Alameda, CA,
USA
- Yongjin Xu, PhD, Abbott Diabetes Care, 1360
South Loop Road, Alameda, CA 94502, USA.
| | | | - Ramzi A. Ajjan
- Leeds University, Leeds Institute of
Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, UK
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19
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Rivera-Yañez N, Rivera-Yañez CR, Pozo-Molina G, Méndez-Catalá CF, Méndez-Cruz AR, Nieto-Yañez O. Biomedical Properties of Propolis on Diverse Chronic Diseases and Its Potential Applications and Health Benefits. Nutrients 2020; 13:E78. [PMID: 33383693 PMCID: PMC7823938 DOI: 10.3390/nu13010078] [Citation(s) in RCA: 26] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2020] [Revised: 12/24/2020] [Accepted: 12/24/2020] [Indexed: 02/06/2023] Open
Abstract
The use of alternative medicine products has increased tremendously in recent decades and it is estimated that approximately 80% of patients globally depend on them for some part of their primary health care. Propolis is a beekeeping product widely used in alternative medicine. It is a natural resinous product that bees collect from various plants and mix with beeswax and salivary enzymes and comprises a complex mixture of compounds. Various biomedical properties of propolis have been studied and reported in infectious and non-infectious diseases. However, the pharmacological activity and chemical composition of propolis is highly variable depending on its geographical origin, so it is important to describe and study the biomedical properties of propolis from different geographic regions. A number of chronic diseases, such as diabetes, obesity, and cancer, are the leading causes of global mortality, generating significant economic losses in many countries. In this review, we focus on compiling relevant information about propolis research related to diabetes, obesity, and cancer. The study of propolis could generate both new and accessible alternatives for the treatment of various diseases and will help to effectively evaluate the safety of its use.
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Affiliation(s)
- Nelly Rivera-Yañez
- Facultad de Estudios Superiores Iztacala, Universidad Nacional Autónoma de México, Tlalnepantla, Estado de México 54090, Mexico; (N.R.-Y.); (C.R.R.-Y.)
| | - C. Rebeca Rivera-Yañez
- Facultad de Estudios Superiores Iztacala, Universidad Nacional Autónoma de México, Tlalnepantla, Estado de México 54090, Mexico; (N.R.-Y.); (C.R.R.-Y.)
| | - Glustein Pozo-Molina
- Laboratorio de Genética y Oncología Molecular, Laboratorio 5, Edificio A4, Facultad de Estudios Superiores Iztacala, Universidad Nacional Autónoma de México, Tlalnepantla, Estado de México 54090, Mexico; (G.P.-M.); (C.F.M.-C.)
| | - Claudia F. Méndez-Catalá
- Laboratorio de Genética y Oncología Molecular, Laboratorio 5, Edificio A4, Facultad de Estudios Superiores Iztacala, Universidad Nacional Autónoma de México, Tlalnepantla, Estado de México 54090, Mexico; (G.P.-M.); (C.F.M.-C.)
| | - Adolfo R. Méndez-Cruz
- Laboratorio de Inmunología, Unidad de Morfofisiología y Función, Facultad de Estudios Superiores Iztacala, Universidad Nacional Autónoma de México, Tlalnepantla, Estado de México 54090, Mexico;
| | - Oscar Nieto-Yañez
- Carrera de Médico Cirujano, Facultad de Estudios Superiores Iztacala, Universidad Nacional Autónoma de México, Tlalnepantla, Estado de México 54090, Mexico
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20
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Klein KR, Buse JB. The trials and tribulations of determining HbA 1c targets for diabetes mellitus. Nat Rev Endocrinol 2020; 16:717-730. [PMID: 33082551 DOI: 10.1038/s41574-020-00425-6] [Citation(s) in RCA: 28] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 09/16/2020] [Indexed: 12/19/2022]
Abstract
Glycated haemoglobin (HbA1c) is considered the gold standard for predicting glycaemia-associated risks for the microvascular and macrovascular complications of diabetes mellitus over 5-10 years. The value of HbA1c in the care of patients with type 1 diabetes mellitus (T1DM) and type 2 diabetes mellitus (T2DM) is unassailable, yet HbA1c targets remain contentious. Guidelines from diabetes care organizations recommend conflicting HbA1c targets - generally between 6.5% and 8%. However, all such organizations advocate for individualization of HbA1c targets, leaving both health-care providers and their patients confused about what HbA1c target is appropriate in an individual patient. In this Review, we outline the landmark T1DM and T2DM trials that informed the current guidelines, we discuss the evidence that drives individualized HbA1c targets, we examine the limitations of HbA1c, and we consider alternatives for monitoring glycaemic control. Ultimately, in synthesizing this literature, we argue for an HbA1c target of <7% for most individuals, but emphasize the importance of helping patients determine their own personal goals and determinants of quality of life that are independent of a particular glycaemic target. We also recognize that as newer technologies and anti-hyperglycaemic therapies emerge, glycaemic targets will continue to evolve.
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Affiliation(s)
- Klara R Klein
- Division of Endocrinology and Metabolism, University of North Carolina School of Medicine, Chapel Hill, NC, USA.
| | - John B Buse
- Division of Endocrinology and Metabolism, University of North Carolina School of Medicine, Chapel Hill, NC, USA
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21
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Gordon DK, Hussain M, Kumar P, Khan S, Khan S. The Sickle Effect: The Silent Titan Affecting Glycated Hemoglobin Reliability. Cureus 2020; 12:e9685. [PMID: 32923278 PMCID: PMC7486097 DOI: 10.7759/cureus.9685] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2020] [Accepted: 08/12/2020] [Indexed: 12/18/2022] Open
Abstract
Hemoglobin A1c (HbA1c) is a popular invaluable tool in the diagnosis of Type 2 diabetes for red blood cells (RBCs) with a lifespan of 120 days; however, many factors, including hemoglobinopathies, affect its accuracy. Sickle cell trait, primarily a benign medical condition, is a point mutation in only one of two beta-globin genes on chromosome 11. We performed a traditional review to identify how the sickle cell trait (SCT) affects the interpretation of HbA1c and the further implications it may have on the diagnosis and management of Type 2 diabetes. A literature search was performed using PubMed®/MEDLINE® and Google Scholar with formulated keywords (sickle cell trait, HbAS, HbA1c, glycosylated hemoglobin, diabetes, RBC lifespan, race, and genetics), with the majority of results being mainly observational studies. The National Glycohemoglobin Standardization Program (NGSP) is responsible for standardizing HbA1c results and also highlights factors that can interfere with HbA1c, including hemoglobin variants. Studies that utilize only an NGSP-certified method with no clinically significant interference by HbS in patients with and without SCT showed contrasting results. Additional studies showed that persons of African ancestry, the group to which the majority of SCT patients belong, have a higher HbA1c than non-Hispanic whites (NHWs), just based on race, and a greater probability of having glucose-6-phosphate dehydrogenase (G6PD) deficiency, which lowers HbA1c. The most extensive study investigating the RBC lifespan in SCT patients showed a reduction in the cell lifespan compared to normal patients; however, other smaller studies were contradictory. Our study highlights the need for hemoglobinopathy detection before or during HbA1c measurement in populations with a high degree of African ancestry and the importance of patient notification. It also shows that SCT affects the accuracy of HbA1c, through its likely reduction of RBC lifespan and its increased association with African ancestry and G6PD deficiency. This review recommends that for SCT patients with potential Type 2 diabetes, HbA1c should be used in combination with another diagnostic tool such as fasting blood glucose, fructosamine, or glycated albumin to decrease the chances of a missed diagnosis.
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Affiliation(s)
- Domonick K Gordon
- Internal Medicine, California Institute of Behavioral Neurosciences & Psychology, Fairfield, USA
- Internal Medicine, Scarborough General Hospital, Scarborough, TTO
| | - Madiha Hussain
- Neuropsychiatry, California Institute of Behavioral Neurosciences & Psychology, Fairfield, USA
| | - Prabhat Kumar
- Internal Medicine, California Institute of Behavioral Neurosciences & Psychology, Fairfield, USA
- Gastroenterology and Hepatology, Cleveland Clinic Foundation, Cleveland, USA
- Medicine and Surgery, Bangalore Medical College & Research Institute, Bangalore, IND
| | - Sara Khan
- Medicine, California Institute of Behavioral Neurosciences & Psychology, Fairfield, USA
| | - Safeera Khan
- Internal Medicine, California Institute of Behavioral Neurosciences & Psychology, Fairfield, USA
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22
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Joung HN, Kwon HS, Baek KH, Song KH, Kim MK. Consistency of the Glycation Gap with the Hemoglobin Glycation Index Derived from a Continuous Glucose Monitoring System. Endocrinol Metab (Seoul) 2020; 35:377-383. [PMID: 32615722 PMCID: PMC7386126 DOI: 10.3803/enm.2020.35.2.377] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/23/2019] [Accepted: 04/23/2020] [Indexed: 11/26/2022] Open
Abstract
BACKGROUND Discordances between glycated hemoglobin (HbA1c) levels and glycemic control are common in clinical practice. We aimed to investigate the consistency of the glycation gap with the hemoglobin glycation index (HGI). METHODS From 2016 to 2019, 36 patients with type 2 diabetes were enrolled. HbA1c, glycated albumin (GA), and fasting blood glucose levels were simultaneously measured and 72-hour continuous glucose monitoring (CGM) was performed on the same day. Repeated tests were performed at baseline and 1 month later, without changing patients' diabetes management. The HGI was calculated as the difference between the measured HbA1c and the predicted HbA1c that was derived from CGM. The glycation gap was calculated as the difference between the measured and GA-based predicted HbA1c levels. RESULTS Strong correlations were found between the mean blood glucose (MBG)-based HGI and the prebreakfast glucose-based HGI (r=0.867, P<0.001) and between the glycation gap and the MBG-based HGI (r=0.810, P<0.001). A close correlation was found between the MBG-based HGI at baseline and that after 1 month (r=0.729, P<0.001), with a y-intercept of 0 and a positive slope. CONCLUSION The HGI and glycation gap were highly reproducible, and the magnitudes of repeated determinations were closely correlated. Patients with similar mean glucose levels may have significantly different HbA1c levels.
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Affiliation(s)
- Han Na Joung
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Yeouido St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea
| | - Hyuk-Sang Kwon
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Yeouido St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea
| | - Ki-Hyun Baek
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Yeouido St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea
| | - Ki-Ho Song
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Yeouido St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea
| | - Mee Kyoung Kim
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Yeouido St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea
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23
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Hsia DS, Rasouli N, Pittas AG, Lary CW, Peters A, Lewis MR, Kashyap SR, Johnson KC, LeBlanc ES, Phillips LS, Hempe JM, Desouza CV. Implications of the Hemoglobin Glycation Index on the Diagnosis of Prediabetes and Diabetes. J Clin Endocrinol Metab 2020; 105:5713508. [PMID: 31965161 PMCID: PMC7015453 DOI: 10.1210/clinem/dgaa029] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/11/2019] [Accepted: 01/16/2020] [Indexed: 02/07/2023]
Abstract
OBJECTIVE Fasting plasma glucose (FPG), 2-hour plasma glucose (2hPG) from a 75-g oral glucose tolerance test (OGTT) and glycated hemoglobin (HbA1c) can lead to different results when diagnosing prediabetes and diabetes. The Hemoglobin Glycation Index (HGI) quantifies the interindividual variation in glycation resulting in discrepancies between FPG and HbA1c. We used data from the Vitamin D and Type 2 Diabetes (D2d) study to calculate HGI, to identify HGI-associated variables, and to determine how HGI affects prediabetes and diabetes diagnosis. MEASUREMENTS A linear regression equation [HbA1c (%) = 0.0164 × FPG (mg/dL) + 4.2] was derived using the screening cohort (n = 6829) and applied to calculate predicted HbA1c. This was subtracted from the observed HbA1c to determine HGI in the baseline cohort with 2hPG data (n = 3945). Baseline variables plus prediabetes and diabetes diagnosis by FPG, HbA1c, and 2hPG were compared among low, moderate, and high HGI subgroups. RESULTS The proportion of women and Black/African American individuals increased from low to high HGI subgroups. Mean FPG decreased and mean HbA1c increased from low to high HGI subgroups, consistent with the HGI calculation; however, mean 2hPG was not significantly different among HGI subgroups. CONCLUSIONS High HGI was associated with Black race and female sex as reported previously. The observation that 2hPG was not different across HGI subgroups suggests that variation in postprandial glucose is not a significant source of population variation in HGI. Exclusive use of HbA1c for diagnosis will classify more Black individuals and women as having prediabetes compared with using FPG or 2hPG.
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Affiliation(s)
- Daniel S Hsia
- Pennington Biomedical Research Center, Baton Rouge, Louisiana
| | - Neda Rasouli
- University of Colorado, School of Medicine and VA Eastern Colorado Health Care System, Aurora, Colorado
| | - Anastassios G Pittas
- Tufts Medical Center, Boston, Massachusetts
- Correspondence and Reprint Requests: Anastassios Pittas, MD, Tufts Medical Center, 800 Washington Street, Box #268, Boston, Massachusetts 02111.
| | - Christine W Lary
- Center for Outcomes Research and Evaluation, Maine Medical Center Research Institute, Portland, Maine
| | - Anne Peters
- Keck School of Medicine of the University of Southern California, Los Angeles, California
| | - Michael R Lewis
- Department of Pathology and Laboratory Medicine, University of Vermont, Burlington, Vermont
| | | | - Karen C Johnson
- University of Tennessee Health Science Center, Memphis, Tennessee
| | - Erin S LeBlanc
- Kaiser Permanente Center for Health Research NW, Portland, Oregon
| | - Lawrence S Phillips
- Atlanta VA Medical Center, Decatur, Georgia and Emory University School of Medicine, Atlanta, Georgia
| | - James M Hempe
- Louisiana State University Health Sciences Center, New Orleans, Louisiana
| | - Cyrus V Desouza
- Omaha VA Medical Center, University of Nebraska Medical Center, Omaha, Nebraska
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24
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Zhang L, Zhang Q. Glycated Plasma Proteins as More Sensitive Markers for Glycemic Control in Type 1 Diabetes. Proteomics Clin Appl 2020; 14:e1900104. [PMID: 31868294 DOI: 10.1002/prca.201900104] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2019] [Revised: 11/08/2019] [Indexed: 12/12/2022]
Abstract
PURPOSE Glycated hemoglobin (HbA1c) is used clinically for diagnosis and therapeutic management of diabetes. However, HbA1c reflects average blood glucose level over a long period. The aim of this study is to look for short period, more sensitive protein markers that correlate better with glycemic level. EXPERIMENTAL DESIGN The glycated proteome of human plasma from type 1 diabetic individuals with good and poor (n = 20 each) glycemic control are analyzed using an online two-dimensional proteomics approach. Selected glycated peptides are further validated for their potential as candidate biomarkers using parallel reaction monitoring. RESULTS 305 glycated peptides are quantified and 290 are significantly increased in samples with poor glycemic control. 76 of the 88 selected glycated peptides have receiver operating characteristic area under curve (AUC) values greater than 0.8. Six validated glycated peptides with high AUC show high correlation with HbA1c and have higher fold changes between poor and good glycemic control than HbA1c. The parent proteins have half-lives shorter than HbA1c. CONCLUSIONS AND CLINICAL RELEVANCE Using an advanced proteomics platform for protein glycation analysis, glycated peptides and proteins are identified that are promising as more sensitive, shorter term indicators of glycemic control in diabetic patients than the commonly used HbA1c.
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Affiliation(s)
- Lina Zhang
- Center for Translational Biomedical Research, University of North Carolina at Greensboro, North Carolina Research Campus, Kannapolis, NC, 28081, USA.,State Key Laboratory of Food Science & Technology, Jiangnan University, Wuxi, 214122, Jiangsu Province, China
| | - Qibin Zhang
- Center for Translational Biomedical Research, University of North Carolina at Greensboro, North Carolina Research Campus, Kannapolis, NC, 28081, USA.,Department of Chemistry & Biochemistry, University of North Carolina at Greensboro, Greensboro, NC, 27412, USA
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25
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Mustafa IO, Tanko Y, Yusuf R, Musa SA. The use of glycated haemoglobin (HbA1 C) in determining glycemic control (and relevance of BMI) in diabetic patients in Ahmadu Bello University Teaching Hospital Zaria, Nigeria. Diabetes Metab Syndr 2019; 13:2967-2972. [PMID: 31437811 DOI: 10.1016/j.dsx.2019.07.057] [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: 07/02/2019] [Accepted: 07/29/2019] [Indexed: 11/20/2022]
Abstract
This study was carried out to specifically investigate the local HbA1C level and determine extent of (if any) variation from the WHO (World Health Organization) recommended threshold for the diagnosis of diabetes and prediabetes using blood glucose as a benchmark. In addition, we also looked to see what role BMI (Body Mass Index) plays among subjects used for the study. 152 subjects were used for the study: 101 diabetic subjects and 51 non-diabetic control subjects. 5 mL of blood sample was collected from each of the subjects after about 8-10 h of overnight fasting. 3-4 mL of the sample was centrifuged and the serum analysed for glucose. The remaining 1-2 ml was transferred into EDTA bottles and analysed immediately for glycated haemoglobin (HbA1C). The BMI (kg/m2) was calculated by dividing the weight in kilograms (kg) by the square of the height in metres (m2). For the BMI, no significant difference was observed between the diabetic subjects (mean = 25.75 kg/m2) and the non-diabetic control subjects (mean = 25.09 kg/m2). Thirty-seven (37) of the diabetic subjects and twenty-three (23) of the non-diabetic subjects had HbA1C levels (mean = 6.96% and 6.29% respectively) that would imply either prediabetes or diabetes but were actually normal going by their fasting blood glucose (FBG) levels. A new chart for the interconversions between FBG and HbA1c and for predicting their expected values from each other was realized, drawn up and recommended for consideration in the management of diabetic patients along with the WHO recommended chart. There are a lot of normal individuals with HbA1c level that does not conform to (or that are simply higher than) what is regarded as the threshold for the onset of diabetes or prediabetes. Generally, the local (Nigerian) glycated haemoglobin (HbA1c) level can therefore be said to be distinctly higher for a given blood glucose range and should be taken as such in the management of diabetes in this environment. Being overweight or obese is not prerequisite to the development of diabetes or abnormal glycated haemoglobin level.
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Affiliation(s)
| | - Yusuf Tanko
- Department of Human Physiology, Ahmadu Bello University, Zaria, Nigeria
| | - Rasheed Yusuf
- Department of Chemical Pathology, Ahmadu Bello University Teaching Hospital, Zaria, Nigeria
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26
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Chalew S, Gomez R. A labile form of hemoglobin A1c is higher in African-American youth with type 1 diabetes compared to Caucasian patients at similar glucose levels. Pediatr Diabetes 2019; 20:736-742. [PMID: 31038272 DOI: 10.1111/pedi.12863] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/07/2018] [Revised: 03/26/2019] [Accepted: 03/28/2019] [Indexed: 11/30/2022] Open
Abstract
BACKGROUND Hemoglobin A1c (HbA1c) levels are higher in African-American (AA) individuals compared to Caucasians (EA) even after adjustment for blood glucose levels. To better understand the mechanism of this disparity we examined the relationship of an unstable (labile) form of HbA1c (L-HbA1c) with race and glucose. METHODS Samples for HbA1c were collected from pediatric patients self-identified as either AA (15F, 12M, age 13.4 ± 3.5 years) or EA (22F, 30M, age 14.6 ± 3.4 years) with type 1 diabetes at the time of a clinic visit. Clinic HbA1c (HbA1c) was performed by immunoassay. L-HbA1c equaled the difference in the HbA1c fraction by dynamic capillary isoelectric focusing before and after incubation in a low pH buffer. A capillary glucose (Clinic-BG) was measured at clinic visit. Mean blood glucose (MBG) was calculated from the last 30 days of the patient's glucose meter data. The influence of race on L-HbA1c was assessed in a multiple variable regression model adjusted for Clinic-BG. RESULTS The groups were similar for age and duration of diabetes. L-HbA1c was correlated with Clinic-BG, MBG, and HbA1c. The mean levels of L-HbA1c, HbA1c, MBG, but not Clinic-BG were higher in AA patients compared to EA. After adjustment for Clinic-BG, L-HbA1c was still higher in AA (2.8 ± 0.7% AA vs 2.1 ± 0.7% EA, P < .0001). CONCLUSIONS L-HbA1c is correlated with Clinic-BG. At any given level of Clinic-BG, AA patients have higher levels of L-HbA1c than EA. This preliminary study suggests that early factors prior to the formation of stable HbA1c may contribute to the observed glucose-independent racial disparity.
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Affiliation(s)
- Stuart Chalew
- Division of Pediatric Endocrinology Children's Hospital of New Orleans and LSU Health Sciences Center, Research Institute for Children, New Orleans, Louisiana
| | - Ricardo Gomez
- Division of Pediatric Endocrinology Children's Hospital of New Orleans and LSU Health Sciences Center, Research Institute for Children, New Orleans, Louisiana
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27
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Comparative Abilities of Fasting Plasma Glucose and Haemoglobin A1c in Predicting Metabolic Syndrome among Apparently Healthy Normoglycemic Ghanaian Adults. Int J Chronic Dis 2019; 2019:2578171. [PMID: 31428625 PMCID: PMC6681621 DOI: 10.1155/2019/2578171] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2019] [Revised: 06/01/2019] [Accepted: 07/16/2019] [Indexed: 01/21/2023] Open
Abstract
There are arguments as to whether haemoglobin A1c (HbA1c) better predicts Metabolic syndrome (MetS) than fasting plasma glucose. The aim of the study was to explore the comparative abilities of HbA1c and Fasting plasma glucose (FPG) in predicting cardiometabolic risk among apparently healthy adults in the Tamale metropolis. This study was a cross-sectional study conducted in the Tamale metropolis from September, 2017, to January, 2018, among one hundred and sixty (160) apparently healthy normoglycemic adults. A self-designed questionnaire was administered to gather sociodemographic data. Anthropometric and haemodynamic data were also taken and blood samples collected for haemoglobin A1c (HbA1c), fasting plasma glucose (FPG), and lipid profile. MetS was classified using the harmonised criteria as indicated in the joint interim statement (JIS). Out of the 160 participants, 42.5% were males and 57.5% were females. FPG associated better with MetS and other cardiovascular risk markers, compared to HbA1c. FPG had the largest area under curve for predicting MetS and its components. This study shows a stronger association between FPG and MetS compared with haemoglobin A1c; it also provides evidence of a superior ability of FPG over HbA1c in predicting MetS and other adverse cardiovascular outcomes in apparently heathy normoglycemic individuals.
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28
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Nayak AU, Singh BM, Dunmore SJ. Potential Clinical Error Arising From Use of HbA1c in Diabetes: Effects of the Glycation Gap. Endocr Rev 2019; 40:988-999. [PMID: 31074800 DOI: 10.1210/er.2018-00284] [Citation(s) in RCA: 41] [Impact Index Per Article: 8.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/14/2019] [Accepted: 04/05/2019] [Indexed: 01/17/2023]
Abstract
The glycation gap (GGap) and the similar hemoglobin glycation index (HGI) define consistent differences between glycated hemoglobin and actual glycemia derived from fructosamine or mean blood glucose, respectively. Such a disparity may be found in a substantial proportion of people with diabetes, being >1 U of glycated HbA1c% or 7.2 mmol/mol in almost 40% of estimations. In this review we define these indices and explain how they can be calculated and that they are not spurious, being consistent in individuals over time. We evaluate the evidence that GGap and HGI are associated with variation in risk of complications and mortality and demonstrate the potential for clinical error in the unquestioning use of HbA1c. We explore the underlying etiology of the variation of HbA1c from mean glucose in blood plasma, including the potential role of enzymatic deglycation of hemoglobin by fructosamine-3-kinase. We conclude that measurement of GGap and HGI are important to diabetes clinicians and their patients in individualization of therapy and the avoidance of harm arising from consequent inappropriate assessment of glycemia and use of therapies.
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Affiliation(s)
- Ananth U Nayak
- Department of Endocrinology and Diabetes, University Hospital of North Midlands NHS Trust, Stoke on Trent, United Kingdom
| | - Baldev M Singh
- Diabetes Research Group, School of Medicine and Clinical Practice, University of Wolverhampton, Wolverhampton, United Kingdom.,Wolverhampton Diabetes Centre, New Cross Hospital, Royal Wolverhampton NHS Trust, Wolverhampton, United Kingdom
| | - Simon J Dunmore
- Diabetes Research Group, School of Medicine and Clinical Practice, University of Wolverhampton, Wolverhampton, United Kingdom
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29
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Wang X, Su J, Zeng D, Liu G, Liu L, Xu Y, Wang C, Liu X, Wang L, Mi X. Gold nano-flowers (Au NFs) modified screen-printed carbon electrode electrochemical biosensor for label-free and quantitative detection of glycated hemoglobin. Talanta 2019; 201:119-125. [PMID: 31122401 DOI: 10.1016/j.talanta.2019.03.100] [Citation(s) in RCA: 22] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2019] [Revised: 03/14/2019] [Accepted: 03/30/2019] [Indexed: 01/18/2023]
Abstract
Glycated hemoglobin (HbA1c) represents the average glucose level over the past three months and has been considered as the most important biomarker for the diagnosis of Type Ⅱ diabetes (T2D). Herein, a label-free and quantitative electrochemical biosensor based on 4-mercaptophenylboronic acid (4-MPBA) modified gold nano-flowers (Au NFs) substrate was developed for the determination of HbA1c. Under optimal conditions, the linear dynamic ranges of HbA1c (5 μg/mL - 1000 μg/mL) and HbA1c% (2%-20%) by cyclic voltammetry were achieved. The electrochemical biosensor showed great detection specificity towards HbA1c and relatively stability after storage at 4 °C. This method could also be applied in human serum system which holds great potential to be applied to monitor real blood samples of diabetes patients. In human serum system, the recovery rate could reach 103.8% and 99.0%. It could achieve fast detection, the total analysis time was less than 65 min, and the detection time was less than 10 s. Moreover, in terms of fabrication process, operation procedure, detection time and cost, this technique was superior to the current HbA1c detection methods suggesting great promise for the practical clinical use in the future.
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Affiliation(s)
- Xiao Wang
- , School of Life Sciences, Shanghai University, Shanghai, 200444, China; , Shanghai Advanced Research Institute, Chinese Academy of Sciences, Shanghai, 201210, China
| | - Jing Su
- , Shanghai Advanced Research Institute, Chinese Academy of Sciences, Shanghai, 201210, China
| | - Dongdong Zeng
- , Shanghai Advanced Research Institute, Chinese Academy of Sciences, Shanghai, 201210, China
| | - Gang Liu
- , Division of Chemistry and Ionizing Radiation Measurement Technology, Shanghai Institute of Measurement and Testing Technology, Shanghai, 201203, China
| | - Lizhuang Liu
- , Shanghai Advanced Research Institute, Chinese Academy of Sciences, Shanghai, 201210, China
| | - Yi Xu
- , Shanghai Advanced Research Institute, Chinese Academy of Sciences, Shanghai, 201210, China
| | - Chenguang Wang
- , Shanghai Advanced Research Institute, Chinese Academy of Sciences, Shanghai, 201210, China
| | - Xinxin Liu
- , Shanghai Advanced Research Institute, Chinese Academy of Sciences, Shanghai, 201210, China
| | - Lu Wang
- , Shanghai Advanced Research Institute, Chinese Academy of Sciences, Shanghai, 201210, China
| | - Xianqiang Mi
- , Shanghai Advanced Research Institute, Chinese Academy of Sciences, Shanghai, 201210, China; , State Key Laboratory of Functional Materials for Informatics, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai, 200050, China.
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30
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Krhač M, Lovrenčić MV. Update on biomarkers of glycemic control. World J Diabetes 2019; 10:1-15. [PMID: 30697366 PMCID: PMC6347654 DOI: 10.4239/wjd.v10.i1.1] [Citation(s) in RCA: 46] [Impact Index Per Article: 9.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/29/2018] [Revised: 11/14/2018] [Accepted: 12/05/2018] [Indexed: 02/05/2023] Open
Abstract
Attaining and maintaining good glycemic control is a cornerstone of diabetes care. The monitoring of glycemic control is currently based on the self-monitoring of blood glucose (SMBG) and laboratory testing for hemoglobin A1c (HbA1c), which is a surrogate biochemical marker of the average glycemia level over the previous 2-3 mo period. Although hyperglycemia is a key biochemical feature of diabetes, both the level of and exposure to high glucose, as well as glycemic variability, contribute to the pathogenesis of diabetic complications and follow different patterns in type 1 and type 2 diabetes. HbA1c provides a valuable, standardized and evidence-based parameter that is relevant for clinical decision making, but several biological and analytical confounders limit its accuracy in reflecting true glycemia. It has become apparent in recent years that other glycated proteins such as fructosamine, glycated albumin, and the nutritional monosaccharide 1,5-anhydroglucitol, as well as integrated measures from direct glucose testing by an SMBG/continuous glucose monitoring system, may provide valuable complementary data, particularly in circumstances when HbA1c results may be unreliable or are insufficient to assess the risk of adverse outcomes. Long-term associations of these alternative biomarkers of glycemia with the risk of complications need to be investigated in order to provide clinically relevant cut-off values and to validate their utility in diverse populations of diabetes patients.
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Affiliation(s)
- Maja Krhač
- Division of Laboratory Medicine, Department of Medical Biochemistry and Laboratory Medicine, Merkur University Hospital, Zagreb 10000, Croatia
| | - Marijana Vučić Lovrenčić
- Division of Laboratory Medicine, Department of Medical Biochemistry and Laboratory Medicine, Merkur University Hospital, Zagreb 10000, Croatia
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31
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Chalew S, Hamdan M. Racial disparity in HbA1c persists when fructosamine is used as a surrogate for mean blood glucose in youth with type 1 diabetes. Pediatr Diabetes 2018; 19:1243-1248. [PMID: 29808574 PMCID: PMC6925540 DOI: 10.1111/pedi.12696] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/05/2017] [Revised: 04/13/2018] [Accepted: 05/16/2018] [Indexed: 12/18/2022] Open
Abstract
BACKGROUND Blacks have been reported to have higher hemoglobin A1c (HbA1c) than Whites even after adjustment for differences in blood glucose levels. Potentially glucose-independent racial disparity in HbA1c is an artifact of glucose ascertainment methods. In order to test this possibility, we examined the relationship of HbA1c with race after adjustment for concurrent fructosamine level as a surrogate for mean blood glucose (MBG). METHODS Youth with type 1 diabetes self-identified as either Black or White had blood drawn for HbA1c, fructosamine complete blood count, ferritin, and soluble transferrin receptor (sTfR) at a clinic visit. MBG was calculated as the average of self-monitored capillary glucoses over the preceding 30 days. The effect of race on HbA1c was evaluated in a general linear model adjusting for either MBG or fructosamine, along with other covariates. RESULTS Fructosamine was correlated with both HbA1c (r = 0.73, P < .0001), MBG (r = 0.46, P < .0001), red cell distribution width coefficient of variation (RDW-CV) (r = 0.31, P = .0045), Fe (r = 0.27, P = .017), and sTfR (r = 0.32, P = .0042). HbA1c was approximately 0.7% higher in Blacks than Whites after adjustment for fructosamine along with age, gender, RDW-CV, Fe, sTfR. CONCLUSIONS Blacks tend to have higher HbA1c than Whites even after statistical adjustment for fructosamine levels as a surrogate for MBG. Thus, HbA1c tends to overestimate corresponding MBG or fructosamine levels in Black patients. Racial differences should be taken into consideration when using HbA1c as a guide to diagnosis and therapy of diabetes in mixed-race populations.
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Affiliation(s)
- Stuart Chalew
- Division of Pediatric Endocrinology and Diabetes, Department of Pediatrics; Louisiana State University Health Science Center, Children's Hospital of New Orleans; New Orleans Louisiana
| | - Mahmoud Hamdan
- Division of Pediatric Endocrinology and Diabetes, Department of Pediatrics; Louisiana State University Health Science Center, Children's Hospital of New Orleans; New Orleans Louisiana
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Kim MK, Jeong JS, Yun JS, Kwon HS, Baek KH, Song KH, Ahn YB, Ko SH. Hemoglobin glycation index predicts cardiovascular disease in people with type 2 diabetes mellitus: A 10-year longitudinal cohort study. J Diabetes Complications 2018; 32:906-910. [PMID: 30121206 DOI: 10.1016/j.jdiacomp.2018.08.007] [Citation(s) in RCA: 39] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/29/2018] [Revised: 08/03/2018] [Accepted: 08/06/2018] [Indexed: 01/09/2023]
Abstract
BACKGROUND AND AIMS Previous studies have suggested that the hemoglobin glycation index (HGI) can be used as a predictor of diabetes-related complications. We examined the prognostic significance of a high HGI for cardiovascular disease (CVD) in an ongoing hospital-based cohort. METHODS From March 2003 to December 2004, 1302 consecutive patients with type 2 diabetes and without a prior history of CVD were enrolled. CVD was defined as the occurrence of coronary artery disease or ischemic stroke. The HGI was calculated as the measured glycated hemoglobin (HbA1c) minus predicted HbA1c. Predicted HbA1c were calculated for 1302 participants by inserting fasting blood glucose (FBG) into the equation, Predicted HbA1c level = 0.02106 × FBG [mg/dL] + 4.973. Cox proportional hazards models were used to identify the associations between the HGI and CVD after adjusting for confounding variables. RESULTS During 11.1 years of follow-up, 225 participants (17.2%) were newly diagnosed with CVD. The baseline HGI was significantly higher in subjects with incident CVD than in those without CVD, although the baseline FBG levels did not differ according to the occurrence of CVD. Compared with patients without CVD, those with CVD were older, had a longer duration of diabetes and hypertension, and used more insulin at baseline. A Cox hazard regression analysis revealed that the development of CVD was significantly associated with baseline HGI (hazard ratio [HR], 1.94; 95% confidence interval [CI], 1.31-2.87; p < 0.001, comparing the highest and lowest quartiles of HGI). This relationship was unchanged after additional adjustment for baseline HbA1c level (HR, 1.74; 95% CI, 1.08-2.81). The HRs of HbA1c in relation to outcomes were similar to or lower than those seen for HGI. After adjustment for HGI, the effect of the highest HbA1c on incident CVD disappeared. CONCLUSIONS High HGI was independently associated with incident CVD in patients with type 2 diabetes. Patients with high HGI at baseline had a higher inherent risk for CVD.
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Affiliation(s)
- Mee Kyoung Kim
- Division of Endocrinology and Metabolism, Department of Internal Medicine, The Catholic University of Korea, Seoul, Republic of Korea
| | - Jee Sun Jeong
- Division of Endocrinology and Metabolism, Department of Internal Medicine, The Catholic University of Korea, Seoul, Republic of Korea
| | - Jae-Seung Yun
- Division of Endocrinology and Metabolism, Department of Internal Medicine, The Catholic University of Korea, Seoul, Republic of Korea
| | - Hyuk-Sang Kwon
- Division of Endocrinology and Metabolism, Department of Internal Medicine, The Catholic University of Korea, Seoul, Republic of Korea
| | - Ki Hyun Baek
- Division of Endocrinology and Metabolism, Department of Internal Medicine, The Catholic University of Korea, Seoul, Republic of Korea
| | - Ki-Ho Song
- Division of Endocrinology and Metabolism, Department of Internal Medicine, The Catholic University of Korea, Seoul, Republic of Korea
| | - Yu-Bae Ahn
- Division of Endocrinology and Metabolism, Department of Internal Medicine, The Catholic University of Korea, Seoul, Republic of Korea
| | - Seung-Hyun Ko
- Division of Endocrinology and Metabolism, Department of Internal Medicine, The Catholic University of Korea, Seoul, Republic of Korea.
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Distribution of glycated haemoglobin and its determinants in Korean youth and young adults: a nationwide population-based study. Sci Rep 2018; 8:1962. [PMID: 29386645 PMCID: PMC5792600 DOI: 10.1038/s41598-018-20274-8] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2017] [Accepted: 01/16/2018] [Indexed: 12/18/2022] Open
Abstract
The present study aimed to describe the distribution of and to investigate the factors associated with glycated haemoglobin (HbA1c) values in Korean youth (10–19 years old) and young adults (20–29 years old). Data from the Korea Health and Nutrition Examination Survey (2011–2015) were used. A total of 6,418 participants (male 3,140 [53.2%]) aged 10–29 years were included in the analysis. Percentiles of HbA1c were calculated and HbA1c values were compared according to age, sex, and associated factors. The mean HbA1c values (% [mmol/mol]) were 5.42 ± 0.01 (35.7 ± 0.1) for youths and 5.32 ± 0.01 (34.7 ± 0.1) for young adults (P < 0.001). Male participants showed significantly higher HbA1c level than females (P < 0.001). When age was grouped into 5-year intervals, HbA1c was the highest in those aged 10–14 years and the lowest in those aged 20–24 years. After controlling for confounding variables, the HbA1c values of youths and male participants were significantly higher than those of young adults and female participants. The present study provides nationally representative data on the distribution of HbA1c values in Korean youth and young adults. There were significant differences in the level of HbA1c according to age and sex.
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Kim MK, Jeong JS, Kwon HS, Baek KH, Song KH. Concordance the hemoglobin glycation index with glycation gap using glycated albumin in patients with type 2 diabetes. J Diabetes Complications 2017; 31:1127-1131. [PMID: 28487124 DOI: 10.1016/j.jdiacomp.2017.04.015] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/02/2017] [Revised: 03/24/2017] [Accepted: 04/12/2017] [Indexed: 02/06/2023]
Abstract
BACKGROUND The hemoglobin glycation index (HGI) is an index of differences in the glycation of hemoglobin according to blood glucose level. The glycation gap (G-gap) is an empiric measure of the extent of disagreement between hemoglobin A1C (HbA1C) and glycated albumin (GA). The aim of this study was to investigate the extent of agreement between the HGI and G-gap with respect to GA level, and to elucidate factors related to a high HGI. METHOD Data were obtained from 105 patients with type 2 diabetes, and fasting blood glucose (FBG), HbA1c, and GA values were measured simultaneously. The G-gap was calculated as the difference between the measured and GA-based predicted HbA1c levels. HGI was calculated as the difference between measured and FBG-based predicted HbA1c levels. RESULTS The HGI and G-gap were highly correlated according GA (r=0.722, P<0.001). In general, the two indices were similar in terms of both direction and magnitude. The classification of patients as high, moderate, or low glycators based on HGI versus G-gap was consistent for the majority of the population and only 5% of patients were reclassified from high to low or low to high. Fasting C-peptide levels decreased linearly, and the percentage of patients using insulin increased linearly, between the lowest and highest HGI tertile (both P<0.05). CONCLUSIONS There was 95% agreement between the HGI and G-gap using GA among type 2 diabetes patients. Furthermore, a high HGI was associated with a higher prevalence of insulin use among type 2 diabetes patients.
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Affiliation(s)
- Mee Kyoung Kim
- Department of Internal Medicine, The Catholic University of Korea, Seoul, Republic of Korea
| | - Jee Sun Jeong
- Department of Internal Medicine, The Catholic University of Korea, Seoul, Republic of Korea
| | - Hyuk-Sang Kwon
- Department of Internal Medicine, The Catholic University of Korea, Seoul, Republic of Korea
| | - Ki Hyun Baek
- Department of Internal Medicine, The Catholic University of Korea, Seoul, Republic of Korea
| | - Ki-Ho Song
- Department of Internal Medicine, The Catholic University of Korea, Seoul, Republic of Korea.
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Wright LAC, Hirsch IB. Metrics Beyond Hemoglobin A1C in Diabetes Management: Time in Range, Hypoglycemia, and Other Parameters. Diabetes Technol Ther 2017; 19:S16-S26. [PMID: 28541136 PMCID: PMC5444503 DOI: 10.1089/dia.2017.0029] [Citation(s) in RCA: 119] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
We review clinical instances in which A1C should not be used and reflect on the use of other glucose metrics that can be used, in substitution of or in combination with A1C and SMBG, to tailor an individualized approach that will result in better outcomes and patient empowerment.
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Affiliation(s)
- Lorena Alarcon-Casas Wright
- Department of Medicine, Division of Metabolism, Endocrinology, and Nutrition, University of Washington Medical Center/Roosevelt , Seattle, Washington
| | - Irl B Hirsch
- Department of Medicine, Division of Metabolism, Endocrinology, and Nutrition, University of Washington Medical Center/Roosevelt , Seattle, Washington
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Garla V, Yanes-Cardozo L, Lien LF. Current therapeutic approaches in the management of hyperglycemia in chronic renal disease. Rev Endocr Metab Disord 2017; 18:5-19. [PMID: 28258533 DOI: 10.1007/s11154-017-9416-1] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
Diabetes mellitus (DM) and chronic kidney disease (CKD) are intricately intertwined. DM is the most common cause of CKD. Adequate control of DM is necessary for prevention of progression of CKD, while careful management of the metabolic abnormalities in CKD will assist in achieving better control of DM. Two of the key organs involved in glucose production are the kidney and the liver. Furthermore, the kidney also plays a role in glucose filtration and reabsorption. In CKD, monitoring of glycemic control using traditional methods such as Hemoglobin A1c (Hba1c) must be done with caution secondary to associated hematological abnormalities in CKD. With regard to medication management in the care of patients with DM, CKD has significant effects. For example, the dosages of oral and non-insulin anti-hyperglycemic agents often need to be modified according to renal function. Insulin metabolism is altered in CKD, and a reduction in insulin dose is almost always needed. Dialysis also affects various aspects of glucose homeostasis, necessitating appropriate changes in therapy. Due to the aforementioned factors glycemic management in patients with DM and CKD can be quiet challenging.
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Affiliation(s)
- Vishnu Garla
- Division of Endocrinology, Metabolism and Diabetes, Department of Medicine, University of Mississippi Medical Center, 2500 North State Street, Jackson, MS, 39216, USA.
| | - Licy Yanes-Cardozo
- Division of Endocrinology, Metabolism and Diabetes, Department of Medicine, University of Mississippi Medical Center, 2500 North State Street, Jackson, MS, 39216, USA
| | - Lillian F Lien
- Division of Endocrinology, Metabolism and Diabetes, Department of Medicine, University of Mississippi Medical Center, 2500 North State Street, Jackson, MS, 39216, USA
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Cavagnolli G, Pimentel AL, Freitas PAC, Gross JL, Camargo JL. Effect of ethnicity on HbA1c levels in individuals without diabetes: Systematic review and meta-analysis. PLoS One 2017; 12:e0171315. [PMID: 28192447 PMCID: PMC5305058 DOI: 10.1371/journal.pone.0171315] [Citation(s) in RCA: 82] [Impact Index Per Article: 11.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2016] [Accepted: 01/18/2017] [Indexed: 12/16/2022] Open
Abstract
Aims/Hypothesis Disparities in HbA1c levels have been observed among ethnic groups. Most studies were performed in patients with diabetes mellitus (DM), which may interfere with results due to the high variability of glucose levels. We conducted a systematic review and meta-analysis to investigate the effect of ethnicity on HbA1c levels in individuals without DM. Methods This is a systematic review with meta-analysis. We searched MEDLINE and EMBASE up to September 2016. Studies published after 1996, performed in adults without DM, reporting HbA1c results measured by certified/standardized methods were included. A random effects model was used and the effect size was presented as weighted HbA1c mean difference (95% CI) between different ethnicities as compared to White ethnicity. Results Twelve studies met the inclusion criteria, totalling data from 49,238 individuals. There were significant differences between HbA1c levels in Blacks [0.26% (2.8 mmol/mol); 95% CI 0.18 to 0.33 (2.0 to 3.6), p <0.001; I2 = 90%, p <0.001], Asians [0.24% (2.6 mmol/mol); 95% CI 0.16 to 0.33 (1.7 to 3.6), p <0.001; I2 = 80%, p = 0.0006] and Latinos [0.08% (0.9 mmol/mol); IC 95% 0.06 to 0.10 (0.7 to 1.1); p <0.001; I2 = 0%; p = 0.72] when compared to Whites. Conclusions/Interpretation This meta-analysis shows that, in individuals without DM, HbA1c values are higher in Blacks, Asians, and Latinos when compared to White persons. Although small, these differences might have impact on the use of a sole HbA1c point to diagnose DM in all ethnic populations.
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Affiliation(s)
- Gabriela Cavagnolli
- Graduate Program in Endocrinology, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, Brazil
- Centro Universitário FSG, Caxias do Sul, Brazil
| | - Ana Laura Pimentel
- Graduate Program in Endocrinology, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, Brazil
| | - Priscila Aparecida Correa Freitas
- Graduate Program in Endocrinology, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, Brazil
- Laboratory of Transplantation Immunology, Santa Casa de Misericordia de Porto Alegre, Porto Alegre, Brazil
| | - Jorge Luiz Gross
- Graduate Program in Endocrinology, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, Brazil
- Endocrinology Division, Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil
| | - Joíza Lins Camargo
- Graduate Program in Endocrinology, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, Brazil
- Endocrinology Division, Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil
- * E-mail:
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Jaramillo R, Shuck SC, Chan YS, Liu X, Bates SE, Lim PP, Tamae D, Lacoste S, O'Connor TR, Termini J. DNA Advanced Glycation End Products (DNA-AGEs) Are Elevated in Urine and Tissue in an Animal Model of Type 2 Diabetes. Chem Res Toxicol 2017; 30:689-698. [PMID: 28107623 DOI: 10.1021/acs.chemrestox.6b00414] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
More precise identification and treatment monitoring of prediabetic/diabetic individuals will require additional biomarkers to complement existing diagnostic tests. Candidates include hyperglycemia-induced adducts such as advanced glycation end products (AGEs) of proteins, lipids, and DNA. The potential for DNA-AGEs as diabetic biomarkers was examined in a longitudinal study using the Leprdb/db animal model of metabolic syndrome. The DNA-AGE, N2-(1-carboxyethyl)-2'-deoxyguanosine (CEdG) was quantified by mass spectrometry using isotope dilution from the urine and tissue of hyperglycemic and normoglycemic mice. Hyperglycemic mice (fasting plasma glucose, FPG, ≥ 200 mg/dL) displayed a higher median urinary CEdG value (238.4 ± 112.8 pmol/24 h) than normoglycemic mice (16.1 ± 11.8 pmol/24 h). Logistic regression analysis revealed urinary CEdG to be an independent predictor of hyperglycemia. Urinary CEdG was positively correlated with FPG in hyperglycemic animals and with HbA1c for all mice. Average tissue-derived CEdG was also higher in hyperglycemic mice (18.4 CEdG/106 dG) than normoglycemic mice (4.4 CEdG/106 dG). Urinary CEdG was significantly elevated in Leprdb/db mice relative to Leprwt/wt, and tissue CEdG values increased in the order Leprwt/wt < Leprwt/db < Leprdb/db. These data suggest that urinary CEdG measurement may provide a noninvasive quantitative index of glycemic status and augment existing biomarkers for the diagnosis and monitoring of diabetes.
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Affiliation(s)
- Richard Jaramillo
- Departments of Molecular Medicine, ‡Biostatistics, and §Cancer Biology, Beckman Research Institute at City of Hope , Duarte, California 91010, United States
| | - Sarah C Shuck
- Departments of Molecular Medicine, ‡Biostatistics, and §Cancer Biology, Beckman Research Institute at City of Hope , Duarte, California 91010, United States
| | - Yin S Chan
- Departments of Molecular Medicine, ‡Biostatistics, and §Cancer Biology, Beckman Research Institute at City of Hope , Duarte, California 91010, United States
| | - Xueli Liu
- Departments of Molecular Medicine, ‡Biostatistics, and §Cancer Biology, Beckman Research Institute at City of Hope , Duarte, California 91010, United States
| | - Steven E Bates
- Departments of Molecular Medicine, ‡Biostatistics, and §Cancer Biology, Beckman Research Institute at City of Hope , Duarte, California 91010, United States
| | - Punnajit P Lim
- Departments of Molecular Medicine, ‡Biostatistics, and §Cancer Biology, Beckman Research Institute at City of Hope , Duarte, California 91010, United States
| | - Daniel Tamae
- Departments of Molecular Medicine, ‡Biostatistics, and §Cancer Biology, Beckman Research Institute at City of Hope , Duarte, California 91010, United States
| | - Sandrine Lacoste
- Departments of Molecular Medicine, ‡Biostatistics, and §Cancer Biology, Beckman Research Institute at City of Hope , Duarte, California 91010, United States
| | - Timothy R O'Connor
- Departments of Molecular Medicine, ‡Biostatistics, and §Cancer Biology, Beckman Research Institute at City of Hope , Duarte, California 91010, United States
| | - John Termini
- Departments of Molecular Medicine, ‡Biostatistics, and §Cancer Biology, Beckman Research Institute at City of Hope , Duarte, California 91010, United States
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Cohen RM, Franco RS. Can Red Blood Cell Indices Act as Surrogate Markers for Discordance between Hemoglobin A1c and Fasting Blood Glucose? Clin Chem 2016; 62:1551-1553. [PMID: 27694390 DOI: 10.1373/clinchem.2016.264705] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2016] [Accepted: 09/13/2016] [Indexed: 01/31/2023]
Affiliation(s)
- Robert M Cohen
- Cincinnati Veterans Affairs Medical Center, Cincinnati, OH; .,Divisions of Endocrinology and
| | - Robert S Franco
- Hematology/Oncology, Department of Internal Medicine, University of Cincinnati College of Medicine, Cincinnati, OH
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Hamdan MAA, Hempe JM, Velasco-Gonzalez C, Gomez R, Vargas A, Chalew S. Differences in Red Blood Cell Indices Do Not Explain Racial Disparity in Hemoglobin A1c in Children with Type 1 Diabetes. J Pediatr 2016; 176:197-9. [PMID: 27156184 PMCID: PMC5432208 DOI: 10.1016/j.jpeds.2016.03.068] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/16/2015] [Revised: 03/03/2016] [Accepted: 03/25/2016] [Indexed: 01/16/2023]
Abstract
We assessed the association of erythrocyte indices on mean blood glucose-independent racial disparity in hemoglobin A1c (HbA1c) in youth with type 1 diabetes. Blacks still had higher HbA1c after adjustment for mean blood glucose, red blood cell indices, age, and sex. Such differences need to be taken into account when interpreting HbA1c in Black patients.
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Affiliation(s)
- Mahmoud Adeeb Ahmad Hamdan
- Pediatric Endocrinology, Children's Hospital of New Orleans, New Orleans, LA; Louisiana State University Health Science Center, New Orleans, LA
| | - James M Hempe
- Louisiana State University Health Science Center, New Orleans, LA; Research Institute for Children, Children's Hospital of New Orleans, New Orleans, LA
| | | | - Ricardo Gomez
- Pediatric Endocrinology, Children's Hospital of New Orleans, New Orleans, LA; Louisiana State University Health Science Center, New Orleans, LA
| | - Alfonso Vargas
- Pediatric Endocrinology, Children's Hospital of New Orleans, New Orleans, LA; Louisiana State University Health Science Center, New Orleans, LA
| | - Stuart Chalew
- Pediatric Endocrinology, Children's Hospital of New Orleans, New Orleans, LA; Louisiana State University Health Science Center, New Orleans, LA; Research Institute for Children, Children's Hospital of New Orleans, New Orleans, LA.
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Herpol M, Lanckmans K, Van Neyghem S, Clement P, Crevits S, De Crem K, Gorus FK, Weets I. Evaluation of the Sebia Capillarys 3 Tera and the Bio-Rad D-100 Systems for the Measurement of Hemoglobin A1c. Am J Clin Pathol 2016; 146:67-77. [PMID: 27357293 DOI: 10.1093/ajcp/aqw081] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022] Open
Abstract
OBJECTIVES We evaluated the Bio-Rad (Irvine, CA) D-100 and the Sebia (Lisses, France) Capillarys 3 Tera for the measurement of hemoglobin A1c (HbA1c) in venous blood samples. METHODS Whole-blood samples and control material were analyzed with the D-100 and Capillarys 3 Tera and compared with our routine method, HLC-723G7 (Tosoh, Tokyo, Japan). An evaluation protocol to test precision, trueness, linearity, carryover, and selectivity was set up according to Clinical and Laboratory Standards Institute guidelines. The results were presented in National Glycohemoglobin Standardization Program and International Federation of Clinical Chemistry (IFCC) units. RESULTS Both systems showed excellent precision (total coefficients of variation <2%, IFCC) and bias (<0.3% or 3 mmol/mol). Linearity was demonstrated for HbA1c values from 3.8% (18 mmol/mol) to 18.5% (179 mmol/mol). Results were correlated with the routine method using Bland-Altman analysis, showing a mean difference of 0.33% or 3.6 mmol/mol for the D-100 and of 0.25% or 2.6 mmol/mol for the Capillarys 3 Tera vs HLC-723G7. None of the automated instruments were prone to interferences by labile HbA1c (≤10 g/L glucose), carbamylated hemoglobin (≤0.5 mmol/L potassium cyanate), hemoglobin variants, bilirubin (≤15 mg/dL), and triglycerides (≤3,360 mg/dL). CONCLUSIONS The Bio-Rad D-100 and the Sebia Capillarys 3 Tera instruments performed well for the determination of HbA1c in terms of quality criteria as well as for sample throughput.
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Affiliation(s)
- Margaux Herpol
- From the Department of Clinical Chemistry and Radio-Immunology, Universitair Ziekenhuis Brussel, Brussels, Belgium
| | - Katrien Lanckmans
- From the Department of Clinical Chemistry and Radio-Immunology, Universitair Ziekenhuis Brussel, Brussels, Belgium
| | - Stefaan Van Neyghem
- From the Department of Clinical Chemistry and Radio-Immunology, Universitair Ziekenhuis Brussel, Brussels, Belgium
| | - Pascale Clement
- From the Department of Clinical Chemistry and Radio-Immunology, Universitair Ziekenhuis Brussel, Brussels, Belgium
| | - Stefanie Crevits
- From the Department of Clinical Chemistry and Radio-Immunology, Universitair Ziekenhuis Brussel, Brussels, Belgium
| | - Kim De Crem
- From the Department of Clinical Chemistry and Radio-Immunology, Universitair Ziekenhuis Brussel, Brussels, Belgium
| | - Frans K Gorus
- From the Department of Clinical Chemistry and Radio-Immunology, Universitair Ziekenhuis Brussel, Brussels, Belgium
| | - Ilse Weets
- From the Department of Clinical Chemistry and Radio-Immunology, Universitair Ziekenhuis Brussel, Brussels, Belgium.
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Kim MK, Yun KJ, Kwon HS, Baek KH, Song KH. Discordance in the levels of hemoglobin A1C and glycated albumin: Calculation of the glycation gap based on glycated albumin level. J Diabetes Complications 2016; 30:477-81. [PMID: 26803475 DOI: 10.1016/j.jdiacomp.2015.12.022] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/20/2015] [Revised: 12/11/2015] [Accepted: 12/22/2015] [Indexed: 12/31/2022]
Abstract
OBJECTIVE The glycation gap (G-gap) is an empirical measure of the extent of the difference between HbA1C and fructosamine levels. Several studies have shown that the presence of a G-gap is linked to diabetic nephropathy, but possible artifacts caused by dependence of the fructosamine level on the extent of serum protein metabolism require careful consideration. We investigated the consistency of G-gaps measured by assaying glycated albumin (GA) levels to identify factors associated with G-gap variations. METHOD A total of 457 pairs of observations, like an HbA1c and GA measurement at the same clinic visit, were obtained from 170 Korean patients with type 2 diabetes. HbA1c and GA levels were measured simultaneously in two or three separate occasions. Each G-gap was calculated as the difference between the measured HbA1c level and that predicted by the GA level. All patients underwent abdominal computed tomography, and the areas of subcutaneous and visceral fat were measured. RESULTS The G-gaps were all significantly inter-correlated over time (γ=0.755, P<0.001).The direction of each G-gap was consistent. The body mass index (BMI), visceral fat area, and the estimated glomerular filtration rate (eGFR) increased linearly from the lowest to the highest G-gap quartile (all P values <0.05). Upon multivariate analysis, both visceral fat area and the eGFR were significantly associated with a G-gap. CONCLUSIONS A G-gap determined using GA measurements is consistent within an individual over time. The G-gap is associated with visceral fat and kidney function in patients with type 2 diabetes.
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Affiliation(s)
- Mee Kyoung Kim
- Department of Internal Medicine, The Catholic University of Korea, Seoul, Korea
| | - Kyung-Jin Yun
- Department of Internal Medicine, The Catholic University of Korea, Seoul, Korea
| | - Hyuk-Sang Kwon
- Department of Internal Medicine, The Catholic University of Korea, Seoul, Korea
| | - Ki Hyun Baek
- Department of Internal Medicine, The Catholic University of Korea, Seoul, Korea
| | - Ki-Ho Song
- Department of Internal Medicine, The Catholic University of Korea, Seoul, Korea.
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Al Ghamdi AA, Badr G, Hozzein WN, Allam A, Al-Waili NS, Al-Wadaan MA, Garraud O. Oral supplementation of diabetic mice with propolis restores the proliferation capacity and chemotaxis of B and T lymphocytes towards CCL21 and CXCL12 by modulating the lipid profile, the pro-inflammatory cytokine levels and oxidative stress. BMC Immunol 2015; 16:54. [PMID: 26370805 PMCID: PMC4570673 DOI: 10.1186/s12865-015-0117-9] [Citation(s) in RCA: 30] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2015] [Accepted: 08/31/2015] [Indexed: 12/26/2022] Open
Abstract
BACKGROUND Type 1 diabetes mellitus (T1D) is a chronic autoimmune disease caused by the selective destruction of pancreatic β cells, followed by hyperglycemia, oxidative stress and the subsequent extensive impairment of immune cell functions, a phenomenon responsible for the development of chronic diabetic complications. Propolis, a natural bee product that is extensively used in foods and beverages, significantly benefits human health. Specifically, propolis exerts antioxidant, anti-inflammatory and analgesic effects that may improve diabetic complications. To further elucidate the potential benefits of propolis, the present study investigated the effect of dietary supplementation with propolis on the plasma cytokine profiles, free radical levels, lipid profile and lymphocyte proliferation and chemotaxis in a streptozotocin (STZ)-induced type I diabetic mouse model. METHODS Thirty male mice were equally distributed into 3 experimental groups: group 1, non-diabetic control mice; group 2, diabetic mice; and group 3, diabetic mice supplemented daily with an ethanol-soluble derivative of propolis (100 mg/kg body weight) for 1 month. RESULTS First, the induction of diabetes in mice was associated with hyperglycemia and significant decreases in the insulin level and the lymphocyte count. In this context, diabetic mice exhibited severe diabetic complications, as demonstrated by a significant decrease in the levels of IL-2, IL-4 and IL-7, prolonged elevation of the levels of pro-inflammatory cytokines (IL-1β, IL-6 and TNF-α) and reactive oxygen species (ROS) and altered lipid profiles compared with control non-diabetic mice. Moreover, antigen stimulation of B and T lymphocytes markedly reduced the proliferative capacity and chemotaxis of these cells towards CCL21 and CXCL12 in diabetic mice compared with control mice. Interestingly, compared with diabetes induction alone, treatment of diabetic mice with propolis significantly restored the plasma cytokine and ROS levels and the lipid profile to nearly normal levels. Most importantly, compared with untreated diabetic mice, diabetic mice treated with propolis exhibited significantly enhanced lymphocyte proliferation and chemotaxis towards CCL21 and CXCL12. CONCLUSION Our findings reveal the potential immuno-modulatory effects of propolis, which acts as a natural antioxidant to enhance the function of immune cells during diabetes.
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Affiliation(s)
- Ahmad A Al Ghamdi
- Chair of Engineer Abdullah Baqshan for Bee Research, College of Food and Agriculture Sciences, King Saud University, Riyadh, Saudi Arabia
| | - Gamal Badr
- Laboratory of Immunology and Molecular Physiology, Zoology Department, Faculty of Science, Assiut University, Assiut, 71516, Egypt.
| | - Wael N Hozzein
- Bioproducts Research Chair, Department of Zoology, College of Science, King Saud University, Riyadh, Saudi Arabia
- Botany Department, Faculty of Science, Beni-Suef University, Beni-Suef, Egypt
| | - Ahmed Allam
- Bioproducts Research Chair, Department of Zoology, College of Science, King Saud University, Riyadh, Saudi Arabia
- Zoology Department, Faculty of Science, Beni-Suef University, Beni-Suef, Egypt
| | | | - Mohammed A Al-Wadaan
- Bioproducts Research Chair, Department of Zoology, College of Science, King Saud University, Riyadh, Saudi Arabia
| | - Olivier Garraud
- Institut National de la Transfusion Sanguine, Paris, Université de Lyon, Saint-Etienne, France
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Shipman KE, Jawad M, Sullivan KM, Ford C, Gama R. Ethnic/racial determinants of glycemic markers in a UK sample. Acta Diabetol 2015; 52:687-92. [PMID: 25559352 DOI: 10.1007/s00592-014-0703-y] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/10/2014] [Accepted: 12/12/2014] [Indexed: 11/30/2022]
Abstract
OBJECTIVE To investigate possible causes for previously reported glycemia-independent South Asian-white differences in HbA1c. METHODS Demographic and laboratory data on non-diabetic patients from primary care were analyzed. Linear regression models measured the association between race/ethnicity and three glycemic measures (HbA1c, fructosamine and fasting plasma glucose), adjusted for a range of hematological, biochemical and demographic factors. RESULTS Nine hundred and forty-eight patients consisting of 711 white subjects (407 women) and 237 South Asian subjects (138 women) were studied. Unadjusted bivariate analysis showed that South Asians had higher HbA1c concentrations [41 (5.9 %) vs. 40 (5.8 %) mmol/mol (p = 0.011), coefficient 1.21, 95 % CI 0.27, 2.17 (p = 0.011)] similar fructosamine [228.4 vs. 226.7 mmol/L (p = 0.352), coefficient 3.93, 95 % CI 0.79, 7.08 (p = 0.014)] and fasting plasma glucose [5.1 vs. 5.2 mmol/L (p = 0.154), coefficient -0.09, 95 % CI -0.22, -0.04 (p = 0.156)] concentrations than whites. South Asians also had lower hemoglobin, ferritin and vitamin B12 concentrations than whites. After adjustment for independent variables, South Asian ethnicity was associated with higher HbA1c concentrations [0.89, 95 % CI 0.06-1.72 (p = 0.035)], higher fructosamine levels [3.93, 95 % CI 0.79, 7.08 (p = 0.014)] and lower fasting plasma glucose concentrations [-0.12, 95 % CI -0.26, -0.02 (p = 0.026)] compared to white race. CONCLUSIONS The increased prevalence of hematological abnormalities in South Asians and their higher adjusted HbA1c and fructosamine but lower fasting glucose levels compared to white subjects suggest that ethnic differences in glycation markers may, in part, be due to a combination of erythrocyte factors and glycemia-independent glycation.
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Oliva L, Baron C, Fernández-López JA, Remesar X, Alemany M. Marked increase in rat red blood cell membrane protein glycosylation by one-month treatment with a cafeteria diet. PeerJ 2015. [PMID: 26213657 PMCID: PMC4512766 DOI: 10.7717/peerj.1101] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022] Open
Abstract
Background and Objectives. Glucose, an aldose, spontaneously reacts with protein amino acids yielding glycosylated proteins. The compounds may reorganize to produce advanced glycosylation products, which regulatory importance is increasingly being recognized. Protein glycosylation is produced without the direct intervention of enzymes and results in the loss of function. Glycosylated plasma albumin, and glycosylated haemoglobin are currently used as index of mean plasma glucose levels, since higher glucose availability results in higher glycosylation rates. In this study we intended to detect the early changes in blood protein glycosylation elicited by an obesogenic diet. Experimental Design. Since albumin is in constant direct contact with plasma glucose, as are the red blood cell (RBC) membranes, we analyzed their degree or glycosylation in female and male rats, either fed a standard diet or subjected to a hyper-energetic self-selected cafeteria diet for 30 days. This model produces a small increase in basal glycaemia and a significant increase in body fat, leaving the animals in the initial stages of development of metabolic syndrome. We also measured the degree of glycosylation of hemoglobin, and the concentration of glucose in contact with this protein, that within the RBC. Glycosylation was measured by colorimetric estimation of the hydroxymethylfurfural liberated from glycosyl residues by incubation with oxalate. Results. Plasma glucose was higher in cafeteria diet and in male rats, both independent effects. However, there were no significant differences induced by sex or diet in either hemoglobin or plasma proteins. Purified RBC membranes showed a marked effect of diet: higher glycosylation in cafeteria rats, which was more marked in females (not in controls). In any case, the number of glycosyl residues per molecule were higher in hemoglobin than in plasma proteins (after correction for molecular weight). The detected levels of glucose in RBC were lower than those of plasma, even when expressed in molal units, and were practically nil in cafeteria-diet fed rats compared with controls; there was no effect of sex. Conclusions. RBC membrane glycosylation is a sensitive indicator of developing metabolic syndrome-related hyperglycemia, more sensitive than the general measurement of plasma or RBC protein glycosylation. The extensive glycosylation of blood proteins does not seem to be markedly affected by sex; and could be hardly justified from an assumedly sustained plasma hyperglycemia. The low levels of glucose found within RBC, especially in rats under the cafeteria diet, could hardly justify the extensive glycosylation of hemoglobin and the lack of differences with controls, which contained sizeable levels of intracellular glucose. Additional studies are needed to study the dynamics of glucose in vivo in the RBC to understand how such extensive protein glycosylation could take place.
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Affiliation(s)
- Laia Oliva
- Department of Nutrition and Food Science, Faculty of Biology, University of Barcelona , Barcelona , Spain
| | - Cristian Baron
- Department of Nutrition and Food Science, Faculty of Biology, University of Barcelona , Barcelona , Spain
| | - José-Antonio Fernández-López
- Department of Nutrition and Food Science, Faculty of Biology, University of Barcelona , Barcelona , Spain ; Institute of Biomedicine of the University of Barcelona , Barcelona , Spain ; CIBER OBN , Barcelona , Spain
| | - Xavier Remesar
- Department of Nutrition and Food Science, Faculty of Biology, University of Barcelona , Barcelona , Spain ; Institute of Biomedicine of the University of Barcelona , Barcelona , Spain ; CIBER OBN , Barcelona , Spain
| | - Marià Alemany
- Department of Nutrition and Food Science, Faculty of Biology, University of Barcelona , Barcelona , Spain ; Institute of Biomedicine of the University of Barcelona , Barcelona , Spain ; CIBER OBN , Barcelona , Spain
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Smith EP, Cohen RM. Physiologic Concepts That May Revise the Interpretation and Implications of HbA1C in Clinical Medicine: An American Perspective. J Diabetes Sci Technol 2015; 9:696-700. [PMID: 25691656 PMCID: PMC4604523 DOI: 10.1177/1932296815572255] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
HbA1c, a routinely used integrated measure of glycemic control, is traditionally thought to be equivalent to mean blood glucose in hematologically normal individuals. Therefore, particularly as the methodology of measuring HbA1c has been standardized, clinical decisions dependent on mean blood glucose are often predominantly decided based on the interpretation of measured HbA1c. In this commentary, however, now that a more routine method of measuring red cell life span has been developed, we present evidence that the relationship between HbA1c and mean blood glucose is influenced by variation in red blood cell survival even in the hematologically normal. This variation has consequences for the appropriate interpretation of HbA1c in diverse clinical conditions such as the diagnosis of diabetes and management of diabetes in chronic kidney disease.
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Affiliation(s)
- Eric P Smith
- Department of Medicine, Division of Endocrinology, Diabetes & Metabolism, University of Cincinnati College of Medicine and Cincinnati VA Medical Center, Cincinnati, OH, USA
| | - Robert M Cohen
- Department of Medicine, Division of Endocrinology, Diabetes & Metabolism, University of Cincinnati College of Medicine and Cincinnati VA Medical Center, Cincinnati, OH, USA
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Khera PK, Smith EP, Lindsell CJ, Rogge MC, Haggerty S, Wagner DA, Palascak MB, Mehta S, Hibbert JM, Joiner CH, Franco RS, Cohen RM. Use of an oral stable isotope label to confirm variation in red blood cell mean age that influences HbA1c interpretation. Am J Hematol 2015; 90:50-55. [PMID: 25293624 DOI: 10.1002/ajh.23866] [Citation(s) in RCA: 29] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2014] [Revised: 09/24/2014] [Accepted: 10/02/2014] [Indexed: 01/22/2023]
Abstract
HbA1c is commonly used to monitor glycemic control. However, there is growing evidence that the relationship between HbA1c and mean blood glucose (MBG) is influenced by variation in red blood cell (RBC) lifespan in hematologically normal individuals. Correction of HbA1c for mean RBC age (MRBC ) requires a noninvasive, accurate, and affordable method to measure RBC survival. In this study, we evaluated whether a stable isotope approach would satisfy these requirements. RBC lifespan and MRBC were determined in a group of nine hematologically normal diabetic and nondiabetic subjects using oral (15) N-glycine to label heme in an age cohort of RBC. The MRBC was 58.7 ± 9.1 (2SD) days and RBC lifespan was 106 ± 21 (2SD) days. This degree of variation (±15-20%) is consistent with previous studies using other techniques. In a subset of seven subjects, MRBC determined with the biotin label technique were available from approximately five years prior, and strongly correlated with the stable isotope values (R(2) = 0.79). This study suggests that the MRBC is stable over time but varies substantially among individuals, and supports the importance of its variation in HbA1c interpretation. The characteristics of the stable isotope method support its suitability for studies to directly evaluate the impact of variation in MRBC on the interpretation of HbA1c.
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Affiliation(s)
- Paramjit K. Khera
- Division of Endocrinology, Diabetes & Metabolism; Department of Internal Medicine, University of Cincinnati College of Medicine; Cincinnati Ohio USA
| | - Eric P. Smith
- Division of Endocrinology, Diabetes & Metabolism; Department of Internal Medicine, University of Cincinnati College of Medicine; Cincinnati Ohio USA
| | - Christopher J. Lindsell
- Department of Emergency Medicine; University of Cincinnati College of Medicine; Cincinnati Ohio USA
| | | | - Shannon Haggerty
- Division of Endocrinology, Diabetes & Metabolism; Department of Internal Medicine, University of Cincinnati College of Medicine; Cincinnati Ohio USA
| | | | - Mary B. Palascak
- Division of Hematology, Department of Internal Medicine; University of Cincinnati College of Medicine
| | - Shilpa Mehta
- Division of Endocrinology, Diabetes & Metabolism; Department of Internal Medicine, University of Cincinnati College of Medicine; Cincinnati Ohio USA
| | - Jacqueline M. Hibbert
- Department of Microbiology, Biochemistry & Immunology; Morehouse School of Medicine; Atlanta Georgia
| | - Clinton H. Joiner
- Department of Pediatrics, Aflac Cancer and Blood Disorders Center; Emory University; Atlanta Georgia
| | - Robert S. Franco
- Division of Hematology, Department of Internal Medicine; University of Cincinnati College of Medicine
| | - Robert M. Cohen
- Division of Endocrinology, Diabetes & Metabolism; Department of Internal Medicine, University of Cincinnati College of Medicine; Cincinnati Ohio USA
- Department of Medicine; Cincinnati VA Medical Center; Cincinnati OH
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Kim SY, Friedmann P, Seth A, Fleckman AM. Monitoring HIV-infected Patients with Diabetes: Hemoglobin A1c, Fructosamine, or Glucose? CLINICAL MEDICINE INSIGHTS-ENDOCRINOLOGY AND DIABETES 2014; 7:41-5. [PMID: 25520565 PMCID: PMC4259549 DOI: 10.4137/cmed.s19202] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/06/2014] [Revised: 10/09/2014] [Accepted: 10/11/2014] [Indexed: 11/11/2022]
Abstract
BACKGROUND Published studies report inappropriately low hemoglobin A1C (HbA1c) values that underestimate glycemia in HIV patients. METHODS We reviewed the charts of all HIV patients with diabetes mellitus (DM) at our clinic. Fifty-nine patients had HbA1c data, of whom 26 patients also had fructosamine data. We compared the most recent HbA1c to finger-stick (FS) glucose averaged over three months, and fructosamine to FS averaged over six weeks. Predicted average glucose (pAG) was calculated as reported by Nathan et al: pAG (mg/dL) = 28.7 × A1C% − 46.7. Data were analyzed using the Statistical Analysis System (SAS) and Kruskal–Wallis test. RESULTS HbA1c values underestimated (UE) actual average glucose (aAG) in 19% of these patients and overestimated (OE) aAG in 27%. HbA1c estimated aAG within the established range in only 54% of the patients. There were no statistical differences in the types of HIV medication used in patients with UE, OE, or accurately estimated (AE) glycemia. A Spearman correlation coefficient between HbA1c and aAG was r = 0.53 (P < 0.0001). Correlation between fructosamine and aAG was r = 0.47 (P = 0.016). CONCLUSIONS The correlations between HbA1c and aAG and between fructosamine and aAG were weaker than expected, and fructosamine was not more accurate than HbA1c.
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Affiliation(s)
- So-Young Kim
- Department of Medicine, Beth Israel Medical Center, New York, NY, USA
| | - Patricia Friedmann
- Office of Grants and Research Administration, Beth Israel Medical Center, New York, NY, USA
| | - Amit Seth
- Division of Endocrinology and Friedman Diabetes Institute, Albert Einstein College of Medicine/Beth Israel Medical Center, New York, NY, USA
| | - Adrienne M Fleckman
- Division of Endocrinology and Friedman Diabetes Institute, Albert Einstein College of Medicine/Beth Israel Medical Center, New York, NY, USA
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Franco LJ, Dal Fabbro AL, Martinez EZ, Sartorelli DS, Silva AS, Soares LP, Franco LF, Kuhn PC, Vieira-Filho JPB, Moisés RS. Performance of glycated haemoglobin (HbA1c) as a screening test for diabetes and impaired glucose tolerance (IGT) in a high risk population--the Brazilian Xavante Indians. Diabetes Res Clin Pract 2014; 106:337-42. [PMID: 25271115 DOI: 10.1016/j.diabres.2014.08.027] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/10/2014] [Revised: 08/06/2014] [Accepted: 08/30/2014] [Indexed: 10/24/2022]
Abstract
AIMS To examine the properties of HbA1c to detect diabetes and IGT in adult Brazilian Xavante Indians, a high risk population for diabetes. METHODS The survey was carried out between October 2010 and January 2012 and based on a 75 g oral glucose tolerance test (OGTT). Basal and 2h capillary glycaemia were measured by HemoCue Glucose 201+; HbA1c using an automated high-performance liquid chromatography analyzer (Tosoh G7). RESULTS 630 individuals aged ≥ 20 years were examined and 80 had a previous diagnosis of diabetes. Sensitivity, specificity and accuracy for HbA1c ≥ 6.5% (≥ 48 mmol/mol) were 71.3%, 90.5% and 87.2%. The areas under the ROC curve (AUC) was 0.88 (95%CI: 0.83-0.93). To identify IGT, HbA1c values between 5.7% and 6.4% (39-47 mmol/mol) presented sensitivity, specificity and accuracy of 87.2%, 24.7% and 51.4%, with an AUC of 0.62 (95%CI: 0.57-0.67). CONCLUSIONS The ADA/WHO proposed cut-off of 6.5% (48 mmol/mol) for HbA1c was adequate to detect diabetes among the Xavante. However, the performance of the ADA proposed cut-off points for pre-diabetes, when used to detect IGT was inadequate and should not be recommended.
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Affiliation(s)
- L J Franco
- Department of Social Medicine, Ribeirão Preto Medical School, University of São Paulo, Avenida Bandeirantes, 3900, CEP: 14049-900 Ribeirão Preto, SP, Brazil.
| | - A L Dal Fabbro
- Department of Social Medicine, Ribeirão Preto Medical School, University of São Paulo, Avenida Bandeirantes, 3900, CEP: 14049-900 Ribeirão Preto, SP, Brazil
| | - E Z Martinez
- Department of Social Medicine, Ribeirão Preto Medical School, University of São Paulo, Avenida Bandeirantes, 3900, CEP: 14049-900 Ribeirão Preto, SP, Brazil
| | - D S Sartorelli
- Department of Social Medicine, Ribeirão Preto Medical School, University of São Paulo, Avenida Bandeirantes, 3900, CEP: 14049-900 Ribeirão Preto, SP, Brazil
| | - A S Silva
- Department of Social Medicine, Ribeirão Preto Medical School, University of São Paulo, Avenida Bandeirantes, 3900, CEP: 14049-900 Ribeirão Preto, SP, Brazil
| | - L P Soares
- Department of Social Medicine, Ribeirão Preto Medical School, University of São Paulo, Avenida Bandeirantes, 3900, CEP: 14049-900 Ribeirão Preto, SP, Brazil
| | - L F Franco
- Division of Endocrinology, Escola Paulista de Medicina, Federal University of São Paulo. Rua Pedro de Toledo, 781-12 floor, CEP: 04039-001 São Paulo, SP, Brazil
| | - P C Kuhn
- Division of Endocrinology, Escola Paulista de Medicina, Federal University of São Paulo. Rua Pedro de Toledo, 781-12 floor, CEP: 04039-001 São Paulo, SP, Brazil
| | - J P B Vieira-Filho
- Division of Endocrinology, Escola Paulista de Medicina, Federal University of São Paulo. Rua Pedro de Toledo, 781-12 floor, CEP: 04039-001 São Paulo, SP, Brazil
| | - R S Moisés
- Division of Endocrinology, Escola Paulista de Medicina, Federal University of São Paulo. Rua Pedro de Toledo, 781-12 floor, CEP: 04039-001 São Paulo, SP, Brazil
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Ebenibo S, Edeoga C, Wan J, Dagogo-Jack S. Glucoregulatory function among African Americans and European Americans with normal or pre-diabetic hemoglobin A1c levels. Metabolism 2014; 63:767-72. [PMID: 24641885 PMCID: PMC4395121 DOI: 10.1016/j.metabol.2014.03.002] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/27/2014] [Revised: 02/21/2014] [Accepted: 03/01/2014] [Indexed: 02/08/2023]
Abstract
OBJECTIVE A hemoglobin (Hb) A1c range of 5.7%-6.4% has been recommended for the diagnosis of prediabetes. To determine the significance of such "prediabetic" HbA1c levels, we compared glucoregulatory function in persons with HbA1c levels of 5.7%-6.4% and those with HbA1c<5.7%. METHODS We studied 280 nondiabetic adults (142 black, 138 white; mean (±SD) age 44.2±10.6 years). Each subject underwent clinical assessment, blood sampling for HbA1c measurement, and a 75-g oral glucose tolerance test at baseline. Additional assessments during subsequent outpatient visits included insulin sensitivity, using homeostasis model assessment (HOMA)-IR and the hyperinsulinemic euglycemic clamp; insulin secretion, using HOMA-B and frequently samples intravenous glucose tolerance test (FSIVGTT) and disposition index (DI); and measurement of fat mass, using DXA. RESULTS Compared to subjects with HbA1c<5.7%, persons with HbA1c levels of 5.7%-6.4% were older, and had higher body mass index (BMI) and insulin secretion but similar insulin sensitivity. When the two groups were matched in age and BMI, persons with HbA1c 5.7%-6.4% were indistinguishable from those with HbA1c <5.7% with regard to all measures of glycemia and glucoregulatory function. CONCLUSIONS Unlike glucose-defined prediabetes status, an HbA1c range of 5.7%-6.4% does not reliably identify individuals with impaired insulin action or secretion, the classical defects underlying the pathophysiology of prediabetes. Thus, HbA1c cannot validly replace blood glucose measurement in the diagnosis of prediabetes. If utilized as a screening test due to convenience, aberrant HbA1c values should be corroborated with blood glucose measurement before therapeutic intervention.
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Affiliation(s)
- Sotonte Ebenibo
- Division of Endocrinology, Diabetes and Metabolism and General Clinical Research Center, University of Tennessee Health Science Center, Memphis, TN
| | - Chimaroke Edeoga
- Division of Endocrinology, Diabetes and Metabolism and General Clinical Research Center, University of Tennessee Health Science Center, Memphis, TN
| | - Jim Wan
- Division of Endocrinology, Diabetes and Metabolism and General Clinical Research Center, University of Tennessee Health Science Center, Memphis, TN
| | - Samuel Dagogo-Jack
- Division of Endocrinology, Diabetes and Metabolism and General Clinical Research Center, University of Tennessee Health Science Center, Memphis, TN.
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