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Lee AM, Xu Y, Hu J, Xiao R, Hooper SR, Hartung EA, Coresh J, Rhee EP, Vasan RS, Kimmel PL, Warady BA, Furth SL, Denburg MR. Longitudinal Plasma Metabolome Patterns and Relation to Kidney Function and Proteinuria in Pediatric CKD. Clin J Am Soc Nephrol 2024; 19:837-850. [PMID: 38709558 PMCID: PMC11254025 DOI: 10.2215/cjn.0000000000000463] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2023] [Accepted: 04/29/2024] [Indexed: 05/08/2024]
Abstract
Key Points Longitudinal untargeted metabolomics. Children with CKD have a circulating metabolome that changes over time. Background Understanding plasma metabolome patterns in relation to changing kidney function in pediatric CKD is important for continued research for identifying novel biomarkers, characterizing biochemical pathophysiology, and developing targeted interventions. There are a limited number of studies of longitudinal metabolomics and virtually none in pediatric CKD. Methods The CKD in Children study is a multi-institutional, prospective cohort that enrolled children aged 6 months to 16 years with eGFR 30–90 ml/min per 1.73 m2. Untargeted metabolomics profiling was performed on plasma samples from the baseline, 2-, and 4-year study visits. There were technologic updates in the metabolomic profiling platform used between the baseline and follow-up assays. Statistical approaches were adopted to avoid direct comparison of baseline and follow-up measurements. To identify metabolite associations with eGFR or urine protein-creatinine ratio (UPCR) among all three time points, we applied linear mixed-effects (LME) models. To identify metabolites associated with time, we applied LME models to the 2- and 4-year follow-up data. We applied linear regression analysis to examine associations between change in metabolite level over time (∆level) and change in eGFR (∆eGFR) and UPCR (∆UPCR). We reported significance on the basis of both the false discovery rate (FDR) <0.05 and P < 0.05. Results There were 1156 person-visits (N : baseline=626, 2-year=254, 4-year=276) included. There were 622 metabolites with standardized measurements at all three time points. In LME modeling, 406 and 343 metabolites associated with eGFR and UPCR at FDR <0.05, respectively. Among 530 follow-up person-visits, 158 metabolites showed differences over time at FDR <0.05. For participants with complete data at both follow-up visits (n =123), we report 35 metabolites with ∆level–∆eGFR associations significant at FDR <0.05. There were no metabolites with significant ∆level–∆UPCR associations at FDR <0.05. We report 16 metabolites with ∆level–∆UPCR associations at P < 0.05 and associations with UPCR in LME modeling at FDR <0.05. Conclusions We characterized longitudinal plasma metabolomic patterns associated with eGFR and UPCR in a large pediatric CKD population. Many of these metabolite signals have been associated with CKD progression, etiology, and proteinuria in previous CKD Biomarkers Consortium studies. There were also novel metabolite associations with eGFR and proteinuria detected.
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Affiliation(s)
- Arthur M. Lee
- Division of Nephrology, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania
| | - Yunwen Xu
- Department of Epidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland
| | - Jian Hu
- Department of Human Genetics, Emory University School of Medicine, Atlanta, Georgia
| | - Rui Xiao
- Children's Hospital of Philadelphia, Philadelphia, Pennsylvania
- Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania
| | - Stephen R. Hooper
- Department of Health Sciences, School of Medicine, University of North Carolina-Chapel Hill, Chapel Hill, North Carolina
| | - Erum A. Hartung
- Division of Nephrology, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania
| | - Josef Coresh
- Department of Epidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland
- Department of Pediatrics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania
- NYU Grossman School of Medicine, New York, New York
| | - Eugene P. Rhee
- Division of Nephrology, Massachusetts General Hospital, Boston, Massachusetts
- Harvard Medical School, Boston, Massachusetts
| | - Ramachandran S. Vasan
- Boston University School of Medicine, Boston, Massachusetts
- Boston University School of Public Health, Boston, Massachusetts
| | - Paul L. Kimmel
- Division of Kidney, Urologic, and Hematologic Diseases, National Institutes of Health, National Institute of Diabetes and Digestive and Kidney Diseases, Bethesda, Maryland
| | - Bradley A. Warady
- Division of Nephrology, Children’s Mercy Kansas City, Kansas City, Missouri
- University of Missouri-Kansas City School of Medicine, Kansas City, Missouri
| | - Susan L. Furth
- Division of Nephrology, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania
- Children’s Hospital of Philadelphia Research Institute, Philadelphia, Pennsylvania
- Department of Pediatrics and Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania
| | - Michelle R. Denburg
- Division of Nephrology, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania
- Department of Pediatrics and Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania
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Okuno T, Vansomphone A, Zhang E, Zhou H, Koska J, Reaven P, Zhou JJ. Association of Both Short-term and Long-term Glycemic Variability With the Development of Microalbuminuria in the ACCORD Trial. Diabetes 2023; 72:1864-1869. [PMID: 37725902 PMCID: PMC10658063 DOI: 10.2337/db23-0374] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/12/2023] [Accepted: 09/07/2023] [Indexed: 09/21/2023]
Abstract
Both long- and short-term glycemic variability have been associated with incident diabetes complications. We evaluated their relative and potential additive effects on incident renal complications in the Action to Control Cardiovascular Risk in Diabetes trial. A marker of short-term glycemic variability, 1,5-anhydroglucitol (1,5-AG), was measured in 4,000 random 12-month postrandomization plasma samples (when hemoglobin A1c [HbA1c] was stable). Visit-to-visit fasting plasma glucose coefficient of variation (CV-FPG) was determined from 4 months postrandomization until the end point of microalbuminuria or macroalbuminuria. Using Cox proportional hazards models, high CV-FPG and low 1,5-AG were independently associated with microalbuminuria after adjusting for clinical risk factors. However, only the CV-FPG association remained after additional adjustment for average HbA1c. Only CV-FPG was a significant risk factor for macroalbuminuria. This post hoc analysis indicates that long-term rather than short-term glycemic variability better predicts the risk of renal disease in type 2 diabetes. ARTICLE HIGHLIGHTS The relative and potential additive effects of long- and short-term glycemic variability on the development of diabetic complications are unknown. We aimed to assess the individual and combined relationships of long-term visit-to-visit glycemic variability, measured as the coefficient of variation of fasting plasma glucose, and short-term glucose fluctuation, estimated by the biomarker 1,5-anhydroglucitol, with the development of proteinuria. Both estimates of glycemic variability were independently associated with microalbuminuria, but only long-term glycemic variability remained significant after adjusting for average hemoglobin A1c. Our findings suggest that longer-term visit-to-visit glucose variability improves renal disease prediction in type 2 diabetes.
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Affiliation(s)
- Tomoki Okuno
- Department of Biostatistics, University of California Los Angeles, Los Angeles, CA
- Phoenix Veterans Affairs Health Care System, Phoenix, AZ
| | | | | | - Hua Zhou
- Department of Biostatistics, University of California Los Angeles, Los Angeles, CA
- Department of Computational Medicine, University of California Los Angeles, Los Angeles, CA
| | - Juraj Koska
- Phoenix Veterans Affairs Health Care System, Phoenix, AZ
| | - Peter Reaven
- Phoenix Veterans Affairs Health Care System, Phoenix, AZ
| | - Jin J. Zhou
- Department of Biostatistics, University of California Los Angeles, Los Angeles, CA
- Phoenix Veterans Affairs Health Care System, Phoenix, AZ
- Department of Medicine, University of California Los Angeles, Los Angeles, CA
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Gadgil MD, Wood AC, Karaman I, Graça G, Tzoulaki I, Zhong VW, Greenland P, Kanaya AM, Herrington DM. Metabolomic Profile of the Healthy Eating Index-2015 in the Multiethnic Study of Atherosclerosis. J Nutr 2023; 153:2174-2180. [PMID: 37271414 PMCID: PMC10493432 DOI: 10.1016/j.tjnut.2023.05.030] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2023] [Revised: 05/24/2023] [Accepted: 05/31/2023] [Indexed: 06/06/2023] Open
Abstract
BACKGROUND Poor diet quality is a risk factor for type 2 diabetes and cardiovascular disease. However, knowledge of metabolites marking adherence to Dietary Guidelines for Americans (2015 version) are limited. OBJECTIVES The goal was to determine a pattern of metabolites associated with the Healthy Eating Index (HEI)-2015, which measures adherence to the Dietary Guidelines for Americans. METHODS The analysis examined 3557 adult men and women from the longitudinal cohort Multiethnic Study of Atherosclerosis (MESA), without known cardiovascular disease and with complete dietary data. Fasting serum specimens and diet and demographic questionnaires were assessed at baseline. Untargeted 1H 1-dimensional nuclei magnetic resonance spectroscopy (600 MHz) was used to generate metabolomics and lipidomics. A metabolome-wide association study specified each spectral feature as outcomes, HEI-2015 score as predictor, adjusting for age, sex, race, and study site in linear regression analyses. Subsequently, hierarchical clustering defined the discrete groups of correlated nuclei magnetic resonance features associated with named metabolites, and the linear regression analysis assessed for associations with HEI-2015 total and component scores. RESULTS The sample included 50% women with an mean age of 63 years, with 40% identifying as White, 23% as Black, 24% as Hispanic, and 13% as Chinese American. The mean HEI-2015 score was 66. The metabolome-wide association study identified 179 spectral features significantly associated with HEI-2015 score. The cluster analysis identified 7 clusters representing 4 metabolites; HEI-2015 score was significantly associated with all. HEI-2015 score was associated with proline betaine [β = 0.12 (SE = 0.02); P = 4.70 × 10-13] and was inversely related to proline [β = -0.13 (SE = 0.02); P = 4.45 × 10-14], 1,5 anhydrosorbitol [β = -0.08 (SE = 0.02); P = 4.37 × 10-7] and unsaturated fatty acyl chains [β = 0.08 (SE = 0.02); P = 8.98 × 10-7]. Intake of total fruit, whole grains, and seafood and plant proteins was associated with proline betaine. CONCLUSIONS Diet quality is significantly associated with unsaturated fatty acyl chains, proline betaine, and proline. Further analysis may clarify the link between diet quality, metabolites, and pathogenesis of cardiometabolic disease.
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Affiliation(s)
- Meghana D Gadgil
- Division of General Internal Medicine, Department of Medicine, University of California, San Francisco, CA, United States.
| | - Alexis C Wood
- USDA/ARS Children's Nutrition Research Center, Houston, TX United States
| | - Ibrahim Karaman
- National Phenome Centre, Imperial College London, Hammersmith Hospital Campus, London, United Kingdom
| | - Goncalo Graça
- Section of Bioinformatics, Division of Systems Medicine, Department of Metabolism, Digestion and Reproduction, Imperial College London, South Kensington Campus, Sir Alexander Fleming Building, London, United Kingdom
| | - Ioanna Tzoulaki
- National Phenome Centre, Imperial College London, Hammersmith Hospital Campus, London, United Kingdom
| | - Victor W Zhong
- School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Philip Greenland
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, United States
| | - Alka M Kanaya
- Division of General Internal Medicine, Department of Medicine, University of California, San Francisco, CA, United States
| | - David M Herrington
- Section on Cardiovascular Medicine, Department of Internal Medicine, Wake Forest School of Medicine, Winston-Salem, NC, United States
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Xu K, Saaoud F, Shao Y, Lu Y, Wu S, Zhao H, Chen K, Vazquez-Padron R, Jiang X, Wang H, Yang X. Early hyperlipidemia triggers metabolomic reprogramming with increased SAH, increased acetyl-CoA-cholesterol synthesis, and decreased glycolysis. Redox Biol 2023; 64:102771. [PMID: 37364513 PMCID: PMC10310484 DOI: 10.1016/j.redox.2023.102771] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2023] [Revised: 05/24/2023] [Accepted: 06/01/2023] [Indexed: 06/28/2023] Open
Abstract
To identify metabolomic reprogramming in early hyperlipidemia, unbiased metabolome was screened in four tissues from ApoE-/- mice fed with high fat diet (HFD) for 3 weeks. 30, 122, 67, and 97 metabolites in the aorta, heart, liver, and plasma, respectively, were upregulated. 9 upregulated metabolites were uremic toxins, and 13 metabolites, including palmitate, promoted a trained immunity with increased syntheses of acetyl-CoA and cholesterol, increased S-adenosylhomocysteine (SAH) and hypomethylation and decreased glycolysis. The cross-omics analysis found upregulation of 11 metabolite synthetases in ApoE‾/‾ aorta, which promote ROS, cholesterol biosynthesis, and inflammation. Statistical correlation of 12 upregulated metabolites with 37 gene upregulations in ApoE‾/‾ aorta indicated 9 upregulated new metabolites to be proatherogenic. Antioxidant transcription factor NRF2-/- transcriptome analysis indicated that NRF2 suppresses trained immunity-metabolomic reprogramming. Our results have provided novel insights on metabolomic reprogramming in multiple tissues in early hyperlipidemia oriented toward three co-existed new types of trained immunity.
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Affiliation(s)
- Keman Xu
- Centers of Cardiovascular Research, Temple University Lewis Katz School of Medicine, Philadelphia, PA 19140, USA
| | - Fatma Saaoud
- Centers of Cardiovascular Research, Temple University Lewis Katz School of Medicine, Philadelphia, PA 19140, USA
| | - Ying Shao
- Centers of Cardiovascular Research, Temple University Lewis Katz School of Medicine, Philadelphia, PA 19140, USA
| | - Yifan Lu
- Centers of Cardiovascular Research, Temple University Lewis Katz School of Medicine, Philadelphia, PA 19140, USA
| | - Sheng Wu
- Metabolic Disease Research, Thrombosis Research, Departments of Cardiovascular Sciences, Temple University Lewis Katz School of Medicine, Philadelphia, PA 19140, USA
| | - Huaqing Zhao
- Medical Education and Data Science, Temple University Lewis Katz School of Medicine, Philadelphia, PA, 19140, USA
| | - Kaifu Chen
- Computational Biology Program, Department of Cardiology, Boston Children's Hospital, Harvard Medical School, Boston, MA, 02115, USA
| | - Roberto Vazquez-Padron
- DeWitt Daughtry Family Department of Surgery, Leonard M. Miller School of Medicine, University of Miami, Miami, FL, 33125, USA
| | - Xiaohua Jiang
- Centers of Cardiovascular Research, Temple University Lewis Katz School of Medicine, Philadelphia, PA 19140, USA; Metabolic Disease Research, Thrombosis Research, Departments of Cardiovascular Sciences, Temple University Lewis Katz School of Medicine, Philadelphia, PA 19140, USA
| | - Hong Wang
- Metabolic Disease Research, Thrombosis Research, Departments of Cardiovascular Sciences, Temple University Lewis Katz School of Medicine, Philadelphia, PA 19140, USA
| | - Xiaofeng Yang
- Centers of Cardiovascular Research, Temple University Lewis Katz School of Medicine, Philadelphia, PA 19140, USA; Metabolic Disease Research, Thrombosis Research, Departments of Cardiovascular Sciences, Temple University Lewis Katz School of Medicine, Philadelphia, PA 19140, USA.
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Eduardo Villena Chávez J, Rosa Neira Sánchez E, Francesco Poletti Ferrara L. Dispersion of Serum 1,5 Anhydroglucitol Values in patients with Type 2 Diabetes at goal of HbA1c. Diabetes Res Clin Pract 2023; 199:110668. [PMID: 37061006 DOI: 10.1016/j.diabres.2023.110668] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/23/2023] [Revised: 04/03/2023] [Accepted: 04/11/2023] [Indexed: 04/17/2023]
Abstract
AIM To investigate the relationship of 1,5 anhydroglucitol (1,5 AG) with HbA1c in patients with type 2 diabetes (T2D) with different ranges of glycemic control. METHODS One hundred outpatients with T2D ≥ 18 years old were studied. In addition, HbA1c, glycemia, 1,5 AG, lipids, albuminuria, estimated glomerular filtration rate, and clinical data were registered. RESULTS The patient's median age was 62.5 years, with a median of 10 years with T2D. Those with HbA1c <7 % had higher 1,5 AG than those with HbA1c ≥ 7 %, 16.8 ug/ml vs. 4.90 (p=0.00001).1,5 AG correlated inversely with HbA1c (r= -0.7910, p=0.00001), glycemia (r= -0.6307, p=0.00001), cholesterol (r= -0.2257, p= 0.0239), LDL-cholesterol (r= -0.2240 , p=0.0266), albuminuria (r= -0.3644, p=0.0002) and heart rate (r= -0.267 ,p=0.0072). Those on insulin therapy also had lower 1,5 AG (p=0.000). The scatter plot of 1,5 AG and HbA1c fitted a second-degree fractional polynomic regression model, with dispersion of 1 5 AG when HbA1c < 7.5%. An HbA1c ≥ 7.5 % predicted a 1,5 AG <10 ug/ml CONCLUSION: Dispersion of 1,5 AG values at HbA1c < 7.5 % indicates postprandial glucose excursions that may impair glucose control and increase the cardiovascular risk in these patients.
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Affiliation(s)
- Jaime Eduardo Villena Chávez
- Universidad Peruana Cayetano Heredia. Faculty of Medicine, Department of Medicine, Hospital Nacional Cayetano Heredia, Lima-Perú.
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Witkowski M, Nemet I, Alamri H, Wilcox J, Gupta N, Nimer N, Haghikia A, Li XS, Wu Y, Saha PP, Demuth I, König M, Steinhagen-Thiessen E, Cajka T, Fiehn O, Landmesser U, Tang WHW, Hazen SL. The artificial sweetener erythritol and cardiovascular event risk. Nat Med 2023; 29:710-718. [PMID: 36849732 PMCID: PMC10334259 DOI: 10.1038/s41591-023-02223-9] [Citation(s) in RCA: 52] [Impact Index Per Article: 52.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2022] [Accepted: 01/19/2023] [Indexed: 03/01/2023]
Abstract
Artificial sweeteners are widely used sugar substitutes, but little is known about their long-term effects on cardiometabolic disease risks. Here we examined the commonly used sugar substitute erythritol and atherothrombotic disease risk. In initial untargeted metabolomics studies in patients undergoing cardiac risk assessment (n = 1,157; discovery cohort, NCT00590200 ), circulating levels of multiple polyol sweeteners, especially erythritol, were associated with incident (3 year) risk for major adverse cardiovascular events (MACE; includes death or nonfatal myocardial infarction or stroke). Subsequent targeted metabolomics analyses in independent US (n = 2,149, NCT00590200 ) and European (n = 833, DRKS00020915 ) validation cohorts of stable patients undergoing elective cardiac evaluation confirmed this association (fourth versus first quartile adjusted hazard ratio (95% confidence interval), 1.80 (1.18-2.77) and 2.21 (1.20-4.07), respectively). At physiological levels, erythritol enhanced platelet reactivity in vitro and thrombosis formation in vivo. Finally, in a prospective pilot intervention study ( NCT04731363 ), erythritol ingestion in healthy volunteers (n = 8) induced marked and sustained (>2 d) increases in plasma erythritol levels well above thresholds associated with heightened platelet reactivity and thrombosis potential in in vitro and in vivo studies. Our findings reveal that erythritol is both associated with incident MACE risk and fosters enhanced thrombosis. Studies assessing the long-term safety of erythritol are warranted.
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Affiliation(s)
- Marco Witkowski
- Department of Cardiovascular and Metabolic Sciences, Lerner Research Institute, Cleveland Clinic, Cleveland, OH, USA
| | - Ina Nemet
- Department of Cardiovascular and Metabolic Sciences, Lerner Research Institute, Cleveland Clinic, Cleveland, OH, USA
| | - Hassan Alamri
- Department of Cardiovascular and Metabolic Sciences, Lerner Research Institute, Cleveland Clinic, Cleveland, OH, USA
- Department of Clinical Laboratory Sciences, College of Applied Medical Sciences, King Saud bin Abdulaziz University for Health Sciences, Riyadh, Saudi Arabia
| | - Jennifer Wilcox
- Department of Cardiovascular and Metabolic Sciences, Lerner Research Institute, Cleveland Clinic, Cleveland, OH, USA
| | - Nilaksh Gupta
- Department of Cardiovascular and Metabolic Sciences, Lerner Research Institute, Cleveland Clinic, Cleveland, OH, USA
| | - Nisreen Nimer
- Department of Cardiovascular and Metabolic Sciences, Lerner Research Institute, Cleveland Clinic, Cleveland, OH, USA
| | - Arash Haghikia
- Department of Cardiology, Angiology and Intensive Care, German Heart Center of Charité, Campus Benjamin Franklin, Berlin, Germany
- German Center for Cardiovascular Research (DZHK), Partner Site Berlin, Berlin, Germany
- Berlin Institute of Health (BIH), Berlin, Germany
- Friede Springer Cardiovascular Prevention Center at Charité, Berlin, Germany
| | - Xinmin S Li
- Department of Cardiovascular and Metabolic Sciences, Lerner Research Institute, Cleveland Clinic, Cleveland, OH, USA
| | - Yuping Wu
- Department of Cardiovascular and Metabolic Sciences, Lerner Research Institute, Cleveland Clinic, Cleveland, OH, USA
- Department of Mathematics and Statistics, Cleveland State University, Cleveland, OH, USA
| | - Prasenjit Prasad Saha
- Department of Cardiovascular and Metabolic Sciences, Lerner Research Institute, Cleveland Clinic, Cleveland, OH, USA
| | - Ilja Demuth
- Department of Endocrinology and Metabolism, Charité-Universitätsmedizin Berlin, Berlin, Germany
- Berlin Institute of Health Center for Regenerative Therapies, Berlin, Germany
| | - Maximilian König
- Department of Endocrinology and Metabolism, Charité-Universitätsmedizin Berlin, Berlin, Germany
| | | | - Tomas Cajka
- West Coast Metabolomics Center, University of California, Davis, CA, USA
- Institute of Physiology of the Czech Academy of Sciences, Prague, Czech Republic
| | - Oliver Fiehn
- West Coast Metabolomics Center, University of California, Davis, CA, USA
| | - Ulf Landmesser
- Department of Cardiology, Angiology and Intensive Care, German Heart Center of Charité, Campus Benjamin Franklin, Berlin, Germany
- German Center for Cardiovascular Research (DZHK), Partner Site Berlin, Berlin, Germany
- Berlin Institute of Health (BIH), Berlin, Germany
- Friede Springer Cardiovascular Prevention Center at Charité, Berlin, Germany
| | - W H Wilson Tang
- Department of Cardiovascular and Metabolic Sciences, Lerner Research Institute, Cleveland Clinic, Cleveland, OH, USA
- Heart, Vascular and Thoracic Institute, Cleveland Clinic, Cleveland, OH, USA
| | - Stanley L Hazen
- Department of Cardiovascular and Metabolic Sciences, Lerner Research Institute, Cleveland Clinic, Cleveland, OH, USA.
- Heart, Vascular and Thoracic Institute, Cleveland Clinic, Cleveland, OH, USA.
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Prognostic value of 1,5-anhydro-D-glucitol incorporating syntax score in acute coronary syndrome. Heart Vessels 2023; 38:8-17. [PMID: 35796774 DOI: 10.1007/s00380-022-02126-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/03/2022] [Accepted: 06/15/2022] [Indexed: 01/06/2023]
Abstract
The utility of adding information on 1,5-anhydro-D-glucitol (1,5-AG), a marker for postprandial hyperglycemia, to a pre-existing scoring system in acute coronary syndrome (ACS) patients is unknown. This retrospective cohort study included 266 ACS patients. The end point was major adverse cardiac and cerebral events (MACCE) through 5 years of follow-up. To evaluate incremental benefits of combining 1,5-AG with the syntax score, we applied time-dependent receiver operating curve (ROC) analysis, net reclassification improvement (NRI), integrated discrimination improvement (IDI) and decision curve analysis (DCA). Temporal changes to the area under time-dependent ROC curves showed that addition of 1,5-AG parameters to syntax score did not provide any incremental value (area under the curve for syntax alone, 0.673 (95% confidence interval (CI), 0.599-0.747) vs. with 1,5-AG combined, 0.671 (95%CI 0.596-0.746; Delong p = 0.65). Incorporating 1,5-AG into syntax score yielded a significant NRI of 0.291 (95%CI 0.015-0.567) and IDI of 0.055 (95%CI 0.018-0.093), while DCA analysis showed the limited net benefit in combination with 1,5-AG and syntax score. 1,5-AG values exhibited significant discriminatory utility for detecting MACCE within the ACS population. However, 1,5-AG levels contributed limited utility beyond syntax score based on time-dependent ROC and DCA analyses.Trial registration: UMIN000023837.
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Wang Y, Yang R, Zhang Y, Wang Z, Wang X, Wang S, Zhang W, Yu X, Dong J, Chen W, Ji F. Prognostic Value of Serum 1,5-anhydroglucitol Levels in Patients with Acute Myocardial Infarction. Rev Cardiovasc Med 2022; 23:394. [PMID: 39076658 PMCID: PMC11270454 DOI: 10.31083/j.rcm2312394] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2022] [Revised: 11/12/2022] [Accepted: 11/21/2022] [Indexed: 07/31/2024] Open
Abstract
Background Diabetes mellitus is a major risk element for cardiovascular disease. In the present study we investigated whether 1,5-anhydroglucitol (1,5-AG), a new marker for glucose monitoring, can predict patient outcome following acute myocardial infarction (AMI). Methods A total of 270 AMI patients who underwent coronary angiography (CAG) at Beijing Hospital from March 2017 to 2020 were enrolled in this prospective cohort study. The serum 1,5-AG concentration and biochemical indicators were evaluated prior to CAG. Cox regression analysis was used to investigate the relationship between 1,5-AG levels and major adverse cardiovascular and cerebrovascular events (MACCEs), and with all-cause mortality. Results During the median follow-up period of 44 months, 49 MACCEs occurred and 33 patients died. The 1,5-AG level was significantly lower in the MACCEs group than in the MACCEs-free group (p = 0.001). Kaplan-Meier analysis also revealed that low 1,5-AG levels were associated with MACCEs (p < 0.001) and with all-cause mortality (p = 0.001). Multivariate analysis showed that low 1,5-AG ( ≤ 8.8 μ g/mL) was an independent predictor of MACCEs (hazard ratio (HR) 2.000, 95% confidence interval (CI): 1.047-3.821, p = 0.036). However, 1,5-AG was not a significant predictor for all-cause mortality in AMI patients (p > 0.05). Conclusions Low 1,5-AG levels can predict MACCEs in AMI patients, but not all-cause mortality. Clinical Trial Registration NCT03072797.
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Affiliation(s)
- Yijia Wang
- Department of Cardiology, Beijing Hospital, National Center of Gerontology; Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, 100730 Beijing, China
- Chinese Academy of Medical Sciences and Graduate school of Peking Union Medical College, 100730 Beijing, China
| | - Ruiyue Yang
- The Key Laboratory of Geriatrics, Beijing Institute of Geriatrics, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology of National Health Commission, 100730 Beijing, China
| | - Yanan Zhang
- Department of Critical Care Medicine, The Affiliated Hospital of Qingdao University, 266000 Qingdao, Shandong, China
| | - Zhe Wang
- Chinese Academy of Medical Sciences and Graduate school of Peking Union Medical College, 100730 Beijing, China
- Department of Cardiology, China-Japan Friendship Hospital, 100029 Beijing, China
| | - Xinyue Wang
- Department of Cardiology, Beijing Hospital, National Center of Gerontology; Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, 100730 Beijing, China
| | - Siming Wang
- The Key Laboratory of Geriatrics, Beijing Institute of Geriatrics, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology of National Health Commission, 100730 Beijing, China
| | - Wenduo Zhang
- Department of Cardiology, Beijing Hospital, National Center of Gerontology; Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, 100730 Beijing, China
| | - Xue Yu
- Department of Cardiology, Beijing Hospital, National Center of Gerontology; Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, 100730 Beijing, China
- Chinese Academy of Medical Sciences and Graduate school of Peking Union Medical College, 100730 Beijing, China
| | - Jun Dong
- The Key Laboratory of Geriatrics, Beijing Institute of Geriatrics, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology of National Health Commission, 100730 Beijing, China
| | - Wenxiang Chen
- The Key Laboratory of Geriatrics, Beijing Institute of Geriatrics, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology of National Health Commission, 100730 Beijing, China
| | - Fusui Ji
- Department of Cardiology, Beijing Hospital, National Center of Gerontology; Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, 100730 Beijing, China
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Teng HI, Chen HY, Tsai CT, Huang WC, Chen YY, Hsueh CH, Hau WK, Lu TM. The clinical impact of serum 1,5-anhydro-D-glucitol levels on coronary artery calcification and adverse outcomes assessed by coronary optical coherence tomography in diabetic patients. Front Cardiovasc Med 2022; 9:997649. [PMID: 36110416 PMCID: PMC9468365 DOI: 10.3389/fcvm.2022.997649] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2022] [Accepted: 08/09/2022] [Indexed: 11/13/2022] Open
Abstract
BackgroundSerum 1,5-anhydro-D-glucitol (1,5-AG) is a novel biomarker for short-term glycemic status and postprandial hyperglycemia. The association between serum 1,5-AG levels and coronary artery calcification (CAC) through a quantitative assessment using optical coherence tomography (OCT) is unclear. We aimed to evaluate this association using OCT in patients with diabetes mellitus (DM).MethodsFrom June 2016 to December 2019, we prospectively enrolled 256 patients who underwent OCT-guided percutaneous coronary intervention (PCI). Half of the patients had diabetes. Patients were followed up for a mean period of 1.8 ± 0.8 years (median: 2.2 years). The relative calcium index and relative lipid core index measured by quantitative OCT analysis were used to evaluate the intra-plaque calcium and lipid levels of culprit plaques. We also analyzed the correlation between serum 1,5-AG levels and long-term major adverse cardiovascular events.ResultsSerum 1,5-AG levels were significantly lower in diabetic patients than in non-diabetic patients (DM vs. non-DM: 55.6 ± 27.9 μg/mL vs. 63.7 ± 26.1 μg/mL, p = 0.016), and lower in fibrocalcified lesions than in fibrotic or fibrolipidic lesions (fibrocalcified vs. fibrotic or fibrolipidic: 42.8 ± 19.1 vs. 72.9 ± 25.2 or 66.4 ± 27.5 μg/mL, p < 0.001, respectively). In addition, we found a significant inverse correlation between serum 1,5-AG levels and relative calcium index (r = −0.729, p < 0.001). In multivariate Cox regression analysis, low serum 1,5-AG level was identified as an independent predictor for major adverse cardiovascular events in diabetic patients (p = 0.043), but not in non-diabetic patients (p = 0.748) after adjusting for age and sex.ConclusionThis study revealed that low serum 1,5-AG levels were associated with an increased risk of CAC as assessed by OCT, especially in diabetic patients. Low serum 1,5-AG levels may predict future major adverse cardiovascular events in diabetic patients undergoing OCT-guided PCI.
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Affiliation(s)
- Hsin-I Teng
- Heart Center, Cheng Hsin General Hospital, Taipei, Taiwan
- Department of Internal Medicine, School of Medicine, College of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan
- TaiVeCoron Study Group, Taipei Veterans General Hospital Coronary Intervention Study Group, Taipei, Taiwan
| | - Hsiang-Yao Chen
- Department of Internal Medicine, School of Medicine, College of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan
- TaiVeCoron Study Group, Taipei Veterans General Hospital Coronary Intervention Study Group, Taipei, Taiwan
- Department of Internal Medicine, Taipei Hospital, Ministry of Health and Welfare, Taipei, Taiwan
| | - Chuan-Tsai Tsai
- Department of Internal Medicine, School of Medicine, College of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan
- TaiVeCoron Study Group, Taipei Veterans General Hospital Coronary Intervention Study Group, Taipei, Taiwan
- Division of Cardiology, Department of Internal Medicine, Taipei Veterans General Hospital, Taipei, Taiwan
| | - Wei-Chieh Huang
- Department of Internal Medicine, School of Medicine, College of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan
- TaiVeCoron Study Group, Taipei Veterans General Hospital Coronary Intervention Study Group, Taipei, Taiwan
- Division of Cardiology, Department of Internal Medicine, Taipei Veterans General Hospital, Taipei, Taiwan
| | - Ying-Ying Chen
- TaiVeCoron Study Group, Taipei Veterans General Hospital Coronary Intervention Study Group, Taipei, Taiwan
- Division of Nephrology, Department of Internal Medicine, MacKay Memorial Hospital, Taipei, Taiwan
| | - Chien-Hung Hsueh
- Division of Cardiology, Department of Internal Medicine, Taipei Veterans General Hospital, Taipei, Taiwan
| | - William K. Hau
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, China
| | - Tse-Min Lu
- Department of Internal Medicine, School of Medicine, College of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan
- TaiVeCoron Study Group, Taipei Veterans General Hospital Coronary Intervention Study Group, Taipei, Taiwan
- Division of Cardiology, Department of Internal Medicine, Taipei Veterans General Hospital, Taipei, Taiwan
- Department of Health Care Center, Taipei Veterans General Hospital, Taipei, Taiwan
- *Correspondence: Tse-Min Lu,,
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10
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Migała M, Chałubińska-Fendler J, Zielińska M. 1,5-Anhydroglucitol as a Marker of Acute Hyperglycemia in Cardiovascular Events. Rev Diabet Stud 2022; 18:68-75. [PMID: 35831937 PMCID: PMC10044046 DOI: 10.1900/rds.2022.18.68] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/03/2022] Open
Abstract
1,5-anhydroglucitol (1,5-AG) is a biomarker of acute hyperglycemia in diabetology and also in cardiodiabetology. It is used to monitor fluctuating glucose levels. 1,5-AG is a monosaccharide that is biochemically similar to D-glucose and originates from the nutrition. The presence of
1,5-AG in blood and tissue is nearly constant due to reabsorption in the renal proximal tubule. In acute hyperglycemia, renal reabsorption is inhibited by glucose and 1,5- AG is excreted in the urine, while its serum level decreases rapidly. 1,5-AG reflects glucose excursions over 1-3 days
to 2 weeks. In this regard, low levels of serum 1,5-AG can be a clinical marker of short- term glycemic derangements such as postprandial hyperglycemia, which is an important risk factor for the pathogenesis of coronary artery disease (CAD) as low levels of 1,5-AG reflect severe plaque calcification
in CAD and correlate with high-density lipoprotein cholesterol (HDL-C) levels. For these reasons, 1,5-AG may also be a marker for atherosclerosis; in fact an even better marker than HbA1c or fructosamine which are normally used. 1,5-AG may also be a predictor of cardiovascular disease, left
ventricular dysfunction after acute coronary syndrome (ACS), and mortality after ACS. This articles reviews the current knowledge on 1,5-AG related to its use as predictor for cardiovascular events.
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Affiliation(s)
- Marta Migała
- Department of Intensive Cardiac Therapy. Medical University of Lodz. Lodz. Poland
| | | | - Marzenna Zielińska
- Department of Intensive Cardiac Therapy. Medical University of Lodz. Lodz. Poland
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11
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Abstract
Reliable assessment of glycemia is central to the management of diabetes. The kidneys play a vital role in maintaining glucose homeostasis through glucose filtration, reabsorption, consumption, and generation. This review article highlights the role of the kidneys in glucose metabolism and discusses the benefits, pitfalls, and evidence behind the glycemic markers in patients with chronic kidney disease. We specifically highlight the role of continuous glucose monitoring as an emerging minimally invasive technique for glycemic assessment.
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Affiliation(s)
- Mohamed Hassanein
- Division of Nephrology, Department of Medicine, University of Mississippi Medical Center, 2500 North State Street, Jackson, MS, 39216, USA
| | - Tariq Shafi
- Division of Nephrology, Department of Medicine, University of Mississippi Medical Center, 2500 North State Street, Jackson, MS, 39216, USA. .,Department of Population Health, John D. Bower School of Population Health, University of Mississippi Medical Center, 2500 North State Street, Jackson, MS, 39216, USA. .,Department of Physiology and Biophysics, University of Mississippi Medical Center, 2500 North State Street, Jackson, MS, 39216, USA.
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12
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Ortiz-Martínez M, González-González M, Martagón AJ, Hlavinka V, Willson RC, Rito-Palomares M. Recent Developments in Biomarkers for Diagnosis and Screening of Type 2 Diabetes Mellitus. Curr Diab Rep 2022; 22:95-115. [PMID: 35267140 PMCID: PMC8907395 DOI: 10.1007/s11892-022-01453-4] [Citation(s) in RCA: 41] [Impact Index Per Article: 20.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 01/27/2022] [Indexed: 11/03/2022]
Abstract
PURPOSE OF REVIEW Diabetes mellitus is a complex, chronic illness characterized by elevated blood glucose levels that occurs when there is cellular resistance to insulin action, pancreatic β-cells do not produce sufficient insulin, or both. Diabetes prevalence has greatly increased in recent decades; consequently, it is considered one of the fastest-growing public health emergencies globally. Poor blood glucose control can result in long-term micro- and macrovascular complications such as nephropathy, retinopathy, neuropathy, and cardiovascular disease. Individuals with diabetes require continuous medical care, including pharmacological intervention as well as lifestyle and dietary changes. RECENT FINDINGS The most common form of diabetes mellitus, type 2 diabetes (T2DM), represents approximately 90% of all cases worldwide. T2DM occurs more often in middle-aged and elderly adults, and its cause is multifactorial. However, its incidence has increased in children and young adults due to obesity, sedentary lifestyle, and inadequate nutrition. This high incidence is also accompanied by an estimated underdiagnosis prevalence of more than 50% worldwide. Implementing successful and cost-effective strategies for systematic screening of diabetes mellitus is imperative to ensure early detection, lowering patients' risk of developing life-threatening disease complications. Therefore, identifying new biomarkers and assay methods for diabetes mellitus to develop robust, non-invasive, painless, highly-sensitive, and precise screening techniques is essential. This review focuses on the recent development of new clinically validated and novel biomarkers as well as the methods for their determination that represent cost-effective alternatives for screening and early diagnosis of T2DM.
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Affiliation(s)
- Margarita Ortiz-Martínez
- Tecnologico de Monterrey, Escuela de Medicina y Ciencias de la Salud, Monterrey, Nuevo León, México
| | - Mirna González-González
- Tecnologico de Monterrey, Escuela de Medicina y Ciencias de la Salud, Monterrey, Nuevo León, México.
- Tecnologico de Monterrey, The Institute for Obesity Research, Monterrey, Nuevo León, México.
| | - Alexandro J Martagón
- Tecnologico de Monterrey, Escuela de Medicina y Ciencias de la Salud, Monterrey, Nuevo León, México
- Tecnologico de Monterrey, The Institute for Obesity Research, Monterrey, Nuevo León, México
- Unidad de Investigación de Enfermedades Metabólicas, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, México City, México
| | - Victoria Hlavinka
- Department of Chemical and Biomolecular Engineering, University of Houston, Houston, TX, USA
| | - Richard C Willson
- Tecnologico de Monterrey, Escuela de Medicina y Ciencias de la Salud, Monterrey, Nuevo León, México
- Department of Chemical and Biomolecular Engineering, University of Houston, Houston, TX, USA
| | - Marco Rito-Palomares
- Tecnologico de Monterrey, Escuela de Medicina y Ciencias de la Salud, Monterrey, Nuevo León, México
- Tecnologico de Monterrey, The Institute for Obesity Research, Monterrey, Nuevo León, México
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13
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Yang R, Zhang W, Wang X, Wang S, Zhou Q, Li H, Mu H, Yu X, Ji F, Dong J, Chen W. Nonlinear association of 1,5-anhydroglucitol with the prevalence and severity of coronary artery disease in chinese patients undergoing coronary angiography. Front Endocrinol (Lausanne) 2022; 13:978520. [PMID: 36133308 PMCID: PMC9483025 DOI: 10.3389/fendo.2022.978520] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/26/2022] [Accepted: 08/18/2022] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND Postprandial hyperglycemia plays an important role in the pathogenesis of coronary artery disease (CAD). The aim of this study is to determine the associations of 1,5-Anhydroglucitol (1,5-AG), which reflects circulating glucose fluctuations, with the prevalence of CAD and CAD severity in coronary angiography defined Chinese patients. METHODS 2970 Chinese patients undergoing coronary angiography were enrolled. Baseline demographics and medical history data was recorded. Serum 1,5-AG levels and biochemical parameters were measured. Baseline characteristics were compared across 1,5-AG categories in diabetes (DM) and non-DM groups. Logistic regression analysis was performed to evaluate the associations of 1,5-AG with the prevalence and severity of CAD. RESULTS Lower 1,5-AG was significantly associated with higher Gensini scores in both DM and non-DM groups. Logistic regression analysis demonstrated that the associations of low 1,5-AG with the prevalence of CAD, elevated Gensini score and severe CAD robustly dose-response increased from undiagnosed DM with 1,5-AG ≥ 14µg/mL to DM with 1,5-AG < 14µg/mL even after adjusting for fasting blood glucose (FBG) or Hemoglobin A1c (HbA1c). The associations were more significant in persons with DM. Significant modification effect of DM on the relationship of 1,5-AG with elevated Gensini score was found. In addition, nonlinear relationship and threshold effects of 1,5-AG with CAD and severity were observed. CONCLUSION Low 1,5-AG is significantly and independently associated with CAD and CAD severity in Chinese patients undergoing coronary angiography. Measurement of 1,5-AG is useful to differentiate subjects with extensive glucose fluctuations and high CAD risks, especially in DM patients. CLINICAL TRIAL REGISTRATION ClinicalTrials.gov, identifier NCT03072797.
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Affiliation(s)
- Ruiyue Yang
- The Key Laboratory of Geriatrics, Beijing Institute of Geriatrics, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology of National Health Commission, Beijing, China
| | - Wenduo Zhang
- Department of Cardiology, Beijing Hospital, National Center of Gerontology; Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China
| | - Xinyue Wang
- Department of Cardiology, Beijing Hospital, National Center of Gerontology; Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China
| | - Siming Wang
- The Key Laboratory of Geriatrics, Beijing Institute of Geriatrics, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology of National Health Commission, Beijing, China
| | - Qi Zhou
- The Key Laboratory of Geriatrics, Beijing Institute of Geriatrics, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology of National Health Commission, Beijing, China
| | - Hongxia Li
- The Key Laboratory of Geriatrics, Beijing Institute of Geriatrics, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology of National Health Commission, Beijing, China
| | - Hongna Mu
- The Key Laboratory of Geriatrics, Beijing Institute of Geriatrics, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology of National Health Commission, Beijing, China
| | - Xue Yu
- Department of Cardiology, Beijing Hospital, National Center of Gerontology; Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China
| | - Fusui Ji
- Department of Cardiology, Beijing Hospital, National Center of Gerontology; Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China
| | - Jun Dong
- The Key Laboratory of Geriatrics, Beijing Institute of Geriatrics, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology of National Health Commission, Beijing, China
- *Correspondence: Jun Dong, ; Wenxiang Chen,
| | - Wenxiang Chen
- The Key Laboratory of Geriatrics, Beijing Institute of Geriatrics, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology of National Health Commission, Beijing, China
- National Center for Clinical Laboratories, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology, Beijing, China
- *Correspondence: Jun Dong, ; Wenxiang Chen,
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14
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Vanagamudi A, Padmini J. Evaluation of serum 1,5-anhydroglucitol levels as hyperglycemic indicator in patients with newly diagnosed type 2 diabetes mellitus. JOURNAL OF DIABETOLOGY 2022. [DOI: 10.4103/jod.jod_90_21] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022] Open
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15
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Rooney MR, Wang D, McEvoy JW, Juraschek SP, Chalmers J, Woodward M, Selvin E. Glycemic excursions and subclinical cardiac damage in adults with type 2 diabetes: Results from the ADVANCE Trial. Diabetes Res Clin Pract 2021; 182:109148. [PMID: 34800609 PMCID: PMC8688324 DOI: 10.1016/j.diabres.2021.109148] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/23/2021] [Revised: 10/27/2021] [Accepted: 11/15/2021] [Indexed: 11/25/2022]
Abstract
We found that 1,5-anhydroglucitol-a marker of glucose excursions-was not independently associated with subclinical cardiac damage, nor with vascular outcomes, in the ADVANCE Trial. High-sensitivity cardiac troponin T and N-terminal pro-b-type natriuretic peptide provided better prognostic information regarding vascular risk in diabetes than 1,5-anhydroglucitol.
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Affiliation(s)
- Mary R Rooney
- Department of Epidemiology and the Welch Center for Prevention, Epidemiology and Clinical Research, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
| | - Dan Wang
- Department of Epidemiology and the Welch Center for Prevention, Epidemiology and Clinical Research, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - J William McEvoy
- Division of Cardiology and National Institute for Prevention and Cardiovascular Health, National University of Ireland, Galway, Ireland
| | - Stephen P Juraschek
- Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA, USA
| | - John Chalmers
- The George Institute for Global Health, University of New South Wales, Sydney, NSW, Australia
| | - Mark Woodward
- The George Institute for Global Health, University of New South Wales, Sydney, NSW, Australia; The George Institute for Global Health, Imperial College London, UK
| | - Elizabeth Selvin
- Department of Epidemiology and the Welch Center for Prevention, Epidemiology and Clinical Research, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
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16
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Warren B, Lee AK, Ballantyne CM, Hoogeveen RC, Pankow JS, Grams ME, Köttgen A, Selvin E. Associations of 1,5-Anhydroglucitol and 2-Hour Glucose with Major Clinical Outcomes in the Atherosclerosis Risk in Communities (ARIC) Study. J Appl Lab Med 2020; 5:1296-1306. [PMID: 32529222 PMCID: PMC7648735 DOI: 10.1093/jalm/jfaa066] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2019] [Accepted: 03/30/2020] [Indexed: 11/14/2022]
Abstract
BACKGROUND 1,5-Anhydroglucitol (1,5-AG) is a novel biomarker of glycemic control proposed to monitor recent hyperglycemic excursions in persons with diabetes. The clinical utility of 1,5-AG outside of diagnosed diabetes is unclear, but it may identify people at high risk for diabetes and its complications. We compared associations of 1,5-AG with 2-h glucose for risk of major clinical complications. RESEARCH DESIGN AND METHODS We prospectively followed 6644 Atherosclerosis Risk in Communities (ARIC) Study participants without diagnosed diabetes for incident diagnosed diabetes, chronic kidney disease, cardiovascular disease, and all-cause mortality for ∼20 years. We assessed associations of 1,5-AG and 2-h glucose (modeled categorically and continuously with restricted cubic splines) with adverse outcomes using Cox models and evaluated improvement in risk discrimination using Harrell's c-statistic. RESULTS 1,5-AG <10 µg/mL was statistically significantly associated with incident diabetes (HR: 2.70, 95% CI 2.31, 3.15), and showed suggestion of association with the other outcomes compared to 1,5-AG ≥10 µg/mL. Continuous associations of 1,5-AG with outcomes displayed a clear threshold effect, with risk associations generally observed only <10 µg/mL. Comparing associations of 1,5-AG and 2-h glucose with outcomes resulted in larger c-statistics for 2-h glucose than 1,5-AG for all outcomes (difference in c-statistic [2-h glucose -1,5-AG] for diagnosed diabetes: 0.17 [95%CI, 0.15, 0.19]; chronic kidney disease 0.02 [95%CI 0.00, 0.05]; cardiovascular disease 0.03 [95%CI, 0.00, 0.06]; and all-cause mortality 0.04 [95%CI, 0.02, 0.06]). CONCLUSIONS In this community-based population without diagnosed diabetes, low 1,5-AG was modestly associated with major clinical outcomes and did not outperform 2-h glucose.
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Affiliation(s)
- Bethany Warren
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD
| | - Alexandra K Lee
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD
| | | | - Ron C Hoogeveen
- Department of Medicine, Baylor College of Medicine, Houston, TX
| | - James S Pankow
- University of Minnesota School of Public Health, Minneapolis, MN
| | - Morgan E Grams
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD
- Johns Hopkins School of Medicine, Baltimore, MD
| | - Anna Köttgen
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD
- Institute of Genetic Epidemiology, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany
| | - Elizabeth Selvin
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD
- Johns Hopkins School of Medicine, Baltimore, MD
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17
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Usui M, Tanaka M, Takahashi H. 1,5-anhydroglucitol is a good predictor for the treatment effect of the Sodium-Glucose cotransporter 2 inhibitor in Japanese patients with type 2 diabetes mellitus. JOURNAL OF CLINICAL AND TRANSLATIONAL ENDOCRINOLOGY 2020; 21:100233. [PMID: 32904185 PMCID: PMC7452166 DOI: 10.1016/j.jcte.2020.100233] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/13/2020] [Revised: 07/28/2020] [Accepted: 07/28/2020] [Indexed: 11/23/2022]
Abstract
1,5-AG is the novel predictor of HbA1c reduction with SGLT2 inhibitors. 1,5-AG is a useful predictor that is unaffected by the use of other diabetic drugs. The most appropriate 1,5-AG cutoff level is 7.65 µg/mL. In patients with 1,5-AG >7.7 µg/mL, SGLT2 inhibitors do not reduce HbA1c as much.
Background and Aims The suitable selection of appropriate medicines is one of important factor in successful diabetes care. We looked for clinical indicators that could predict the effects of SGLT2 inhibitors in advance. Methods and Results In a single-center, this retrospective study was designed to examine predictive indices of the effectiveness of SGLT2 inhibitors. Using the medical records of 169 patients, we investigated the differences in clinical data between a group with improved glycemic control and a group with less improved glycemic control. 32 weeks of treatment with SGLT2 inhibitors decreased the HbA1c levels by 0.71%. The glucose-lowering effect was associated with improvement of the liver function. The maximum BMI change was independent of the rate of the HbA1c reduction. The HbA1c reduction was greater in patients with low 1,5-AG. This determination was unaffected by the use of anti-diabetic medication. Limiting HbA1c from 7.0% (52 mmol/mol) to 8.4% (68 mmol/mol) did not change this tendency. The maximum sum of sensitivity and specificity for patients with an HbA1c improvement of more than 0.7% was obtained with a 1,5-AG cutoff level of 7.65 µg/mL. Conclusion The use of SGLT2 inhibitors in patients with T2DM, 1,5-AG was identified as the most reliable indicator for predicting HbA1c reduction.
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18
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Bergman M, Abdul-Ghani M, DeFronzo RA, Manco M, Sesti G, Fiorentino TV, Ceriello A, Rhee M, Phillips LS, Chung S, Cravalho C, Jagannathan R, Monnier L, Colette C, Owens D, Bianchi C, Del Prato S, Monteiro MP, Neves JS, Medina JL, Macedo MP, Ribeiro RT, Filipe Raposo J, Dorcely B, Ibrahim N, Buysschaert M. Review of methods for detecting glycemic disorders. Diabetes Res Clin Pract 2020; 165:108233. [PMID: 32497744 PMCID: PMC7977482 DOI: 10.1016/j.diabres.2020.108233] [Citation(s) in RCA: 96] [Impact Index Per Article: 24.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/19/2020] [Accepted: 05/19/2020] [Indexed: 02/07/2023]
Abstract
Prediabetes (intermediate hyperglycemia) consists of two abnormalities, impaired fasting glucose (IFG) and impaired glucose tolerance (IGT) detected by a standardized 75-gram oral glucose tolerance test (OGTT). Individuals with isolated IGT or combined IFG and IGT have increased risk for developing type 2 diabetes (T2D) and cardiovascular disease (CVD). Diagnosing prediabetes early and accurately is critical in order to refer high-risk individuals for intensive lifestyle modification. However, there is currently no international consensus for diagnosing prediabetes with HbA1c or glucose measurements based upon American Diabetes Association (ADA) and the World Health Organization (WHO) criteria that identify different populations at risk for progressing to diabetes. Various caveats affecting the accuracy of interpreting the HbA1c including genetics complicate this further. This review describes established methods for detecting glucose disorders based upon glucose and HbA1c parameters as well as novel approaches including the 1-hour plasma glucose (1-h PG), glucose challenge test (GCT), shape of the glucose curve, genetics, continuous glucose monitoring (CGM), measures of insulin secretion and sensitivity, metabolomics, and ancillary tools such as fructosamine, glycated albumin (GA), 1,5- anhydroglucitol (1,5-AG). Of the approaches considered, the 1-h PG has considerable potential as a biomarker for detecting glucose disorders if confirmed by additional data including health economic analysis. Whether the 1-h OGTT is superior to genetics and omics in providing greater precision for individualized treatment requires further investigation. These methods will need to demonstrate substantially superiority to simpler tools for detecting glucose disorders to justify their cost and complexity.
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Affiliation(s)
- Michael Bergman
- NYU School of Medicine, NYU Diabetes Prevention Program, Endocrinology, Diabetes, Metabolism, VA New York Harbor Healthcare System, Manhattan Campus, 423 East 23rd Street, Room 16049C, NY, NY 10010, USA.
| | - Muhammad Abdul-Ghani
- Division of Diabetes, University of Texas Health Science Center at San Antonio, San Antonio, TX 78229, USA.
| | - Ralph A DeFronzo
- Division of Diabetes, University of Texas Health Science Center at San Antonio, San Antonio, TX 78229, USA.
| | - Melania Manco
- Research Area for Multifactorial Diseases, Bambino Gesù Children Hospital, Rome, Italy.
| | - Giorgio Sesti
- Department of Clinical and Molecular Medicine, University of Rome Sapienza, Rome 00161, Italy
| | - Teresa Vanessa Fiorentino
- Department of Medical and Surgical Sciences, University Magna Græcia of Catanzaro, Catanzaro 88100, Italy.
| | - Antonio Ceriello
- Department of Cardiovascular and Metabolic Diseases, Istituto Ricerca Cura Carattere Scientifico Multimedica, Sesto, San Giovanni (MI), Italy.
| | - Mary Rhee
- Emory University School of Medicine, Department of Medicine, Division of Endocrinology, Metabolism, and Lipids, Atlanta VA Health Care System, Atlanta, GA 30322, USA.
| | - Lawrence S Phillips
- Emory University School of Medicine, Department of Medicine, Division of Endocrinology, Metabolism, and Lipids, Atlanta VA Health Care System, Atlanta, GA 30322, USA.
| | - Stephanie Chung
- Diabetes Endocrinology and Obesity Branch, National Institutes of Diabetes, Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD 20892, USA.
| | - Celeste Cravalho
- Diabetes Endocrinology and Obesity Branch, National Institutes of Diabetes, Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD 20892, USA.
| | - Ram Jagannathan
- Emory University School of Medicine, Department of Medicine, Division of Endocrinology, Metabolism, and Lipids, Atlanta VA Health Care System, Atlanta, GA 30322, USA.
| | - Louis Monnier
- Institute of Clinical Research, University of Montpellier, Montpellier, France.
| | - Claude Colette
- Institute of Clinical Research, University of Montpellier, Montpellier, France.
| | - David Owens
- Diabetes Research Group, Institute of Life Science, Swansea University, Wales, UK.
| | - Cristina Bianchi
- University Hospital of Pisa, Section of Metabolic Diseases and Diabetes, University Hospital, University of Pisa, Pisa, Italy.
| | - Stefano Del Prato
- Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy.
| | - Mariana P Monteiro
- Endocrine, Cardiovascular & Metabolic Research, Unit for Multidisciplinary Research in Biomedicine (UMIB), University of Porto, Porto, Portugal; Institute of Biomedical Sciences Abel Salazar (ICBAS), University of Porto, Porto, Portugal.
| | - João Sérgio Neves
- Department of Surgery and Physiology, Cardiovascular Research and Development Center, Faculty of Medicine, University of Porto, Porto, Portugal; Department of Endocrinology, Diabetes and Metabolism, São João University Hospital Center, Porto, Portugal.
| | | | - Maria Paula Macedo
- CEDOC-Centro de Estudos de Doenças Crónicas, NOVA Medical School, Faculdade de Ciências Médicas, Universidade Nova de Lisboa, Lisboa, Portugal; APDP-Diabetes Portugal, Education and Research Center (APDP-ERC), Lisboa, Portugal.
| | - Rogério Tavares Ribeiro
- Institute for Biomedicine, Department of Medical Sciences, University of Aveiro, APDP Diabetes Portugal, Education and Research Center (APDP-ERC), Aveiro, Portugal.
| | - João Filipe Raposo
- CEDOC-Centro de Estudos de Doenças Crónicas, NOVA Medical School, Faculdade de Ciências Médicas, Universidade Nova de Lisboa, Lisboa, Portugal; APDP-Diabetes Portugal, Education and Research Center (APDP-ERC), Lisboa, Portugal.
| | - Brenda Dorcely
- NYU School of Medicine, Division of Endocrinology, Diabetes, Metabolism, NY, NY 10016, USA.
| | - Nouran Ibrahim
- NYU School of Medicine, Division of Endocrinology, Diabetes, Metabolism, NY, NY 10016, USA.
| | - Martin Buysschaert
- Department of Endocrinology and Diabetology, Université Catholique de Louvain, University Clinic Saint-Luc, Brussels, Belgium.
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19
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Su G, Gao MX, Shi GL, Dai XX, Yao WF, Zhang T, Zhuang SW. Effect of 1,5-anhydroglucitol levels on culprit plaque rupture in diabetic patients with acute coronary syndrome. Cardiovasc Diabetol 2020; 19:71. [PMID: 32473648 PMCID: PMC7261377 DOI: 10.1186/s12933-020-01045-0] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/10/2020] [Accepted: 05/26/2020] [Indexed: 02/07/2023] Open
Abstract
BACKGROUND Postprandial hyperglycemia was reported to play a key role in established risk factors of coronary artery diseases (CAD) and cardiovascular events. Serum 1,5-anhydroglucitol (1,5-AG) levels are known to be a clinical marker of short-term postprandial glucose (PPG) excursions. Low serum 1,5-AG levels have been associated with occurrence of CAD. However, the relationship between 1,5-AG levels and coronary plaque rupture has not been fully elucidated. The aim of this study was to evaluate 1,5-AG as a predictor of coronary plaque rupture in diabetic patients with acute coronary syndrome (ACS). METHODS A total of 144 diabetic patients with ACS were included in this study. All patients underwent intravascular ultrasound examination, which revealed 49 patients with plaque rupture and 95 patients without plaque rupture in the culprit lesion. Fasting blood glucose (FBG), hemoglobin A1c (HbA1c) and 1,5-AG levels were measured before coronary angiography. Fasting urinary 8-iso-prostaglandin F2α (8-iso-PGF2α) level was measured and corrected by creatinine clearance. RESULTS Patients with ruptured plaque had significantly lower serum 1,5-AG levels, longer duration of diabetes, higher HbA1c and FBG levels than patients without ruptured plaque in our study population. In multivariate analysis, low 1,5-AG levels were an independent predictor of plaque rupture (odds ratio 3.421; P = 0.005) in diabetic patients with ACS. The area under the receiver-operating characteristic curve for 1,5-AG (0.658, P = 0.002) to predict plaque rupture was superior to that for HbA1c (0.587, P = 0.087). Levels of 1,5-AG were significantly correlated with urinary 8-iso-prostaglandin F2α levels (r = - 0.234, P = 0.005). CONCLUSIONS Serum 1,5-AG may identify high risk for coronary plaque rupture in diabetic patients with ACS, which suggests PPG excursions are related to the pathogenesis of plaque rupture in diabetes.
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Affiliation(s)
- Gong Su
- grid.412478.c0000 0004 1760 4628Department of Cardiovascular Medicine, Shanghai General Hospital Baoshan Branch, No. 101 Tongtai North Road, Baoshan District, Shanghai, 200940 China
| | - Ming-Xi Gao
- grid.412478.c0000 0004 1760 4628Department of Cardiovascular Medicine, Shanghai General Hospital Baoshan Branch, No. 101 Tongtai North Road, Baoshan District, Shanghai, 200940 China
| | - Gen-Ling Shi
- grid.412478.c0000 0004 1760 4628Department of Cardiovascular Medicine, Shanghai General Hospital Baoshan Branch, No. 101 Tongtai North Road, Baoshan District, Shanghai, 200940 China
| | - Xi-Xi Dai
- grid.412478.c0000 0004 1760 4628Department of Cardiovascular Medicine, Shanghai General Hospital Baoshan Branch, No. 101 Tongtai North Road, Baoshan District, Shanghai, 200940 China
| | - Wei-Feng Yao
- grid.412478.c0000 0004 1760 4628Department of Cardiovascular Medicine, Shanghai General Hospital Baoshan Branch, No. 101 Tongtai North Road, Baoshan District, Shanghai, 200940 China
| | - Tao Zhang
- grid.24696.3f0000 0004 0369 153XCenter of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing, 100029 China
| | - Shao-Wei Zhuang
- grid.412540.60000 0001 2372 7462Department of Cardiovascular Medicine, The Seventh People’s Hospital, Shanghai University of Traditional Chinese Medicine, No. 358 Gaoqiaodatong Road, Pudong District, Shanghai, 200137 China
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20
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Ikeda N, Hiroi Y. Cardiovascular disease and 1,5-anhydro-d-glucitol. Glob Health Med 2019; 1:83-87. [PMID: 33330760 DOI: 10.35772/ghm.2019.01031] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2019] [Revised: 12/06/2019] [Accepted: 12/15/2019] [Indexed: 12/29/2022]
Abstract
The serum 1,5-anhydro-d-glucitol (1,5-AG) level rapidly decreases concomitantly with urinary glucose excretion in hyperglycemia. 1,5-AG is a sensitive clinical marker of short-term glycemic control, postprandial hyperglycemia and glucose fluctuation. Increasing evidence about the relationship between cardiovascular disease (CVD) and glucose fluctuations have been published. In this review, we summarize the possibilities and limitations of 1,5-AG as a marker of CVD. Research showed that 1,5-AG level is associated with prevalence of CVD and is also a predictive value for cardiovascular (CV) events. Especially in a high risk population, the predictive value of 1,5-AG for CV events becomes more effective. Besides, 1,5-AG is an effective glycometabolic marker that complements HbA1c in terms of glucose fluctuation. Appropriate use of 1,5-AG might lead to improved prognosis for patients or decrease medical financial burden of the population through early detection of glucose disorder and quality glucose control.
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Affiliation(s)
- Nobutaka Ikeda
- Division of Cardiovascular Medicine, Toho University Ohashi Medical Center, Tokyo, Japan
| | - Yukio Hiroi
- Department of Cardiology, National Center for Global Health and Medicine, Tokyo, Japan
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21
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Leahy J(JL, Aleppo G, Fonseca VA, Garg SK, Hirsch IB, McCall AL, McGill JB, Polonsky WH. Optimizing Postprandial Glucose Management in Adults With Insulin-Requiring Diabetes: Report and Recommendations. J Endocr Soc 2019; 3:1942-1957. [PMID: 31608313 PMCID: PMC6781941 DOI: 10.1210/js.2019-00222] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/19/2019] [Accepted: 09/20/2019] [Indexed: 02/06/2023] Open
Abstract
Faster-acting insulins, new noninsulin drug classes, more flexible insulin-delivery systems, and improved continuous glucose monitoring devices offer unprecedented opportunities to improve postprandial glucose (PPG) management and overall care for adults with insulin-treated diabetes. These developments led the Endocrine Society to convene a working panel of diabetes experts in December 2018 to assess the current state of PPG management, identify innovative ways to improve self-management and quality of life, and align best practices to current and emerging treatment and monitoring options. Drawing on current research and collective clinical experience, we considered the following issues for the ∼200 million adults worldwide with type 1 and insulin-requiring type 2 diabetes: (i) the role of PPG management in reducing the risk of diabetes complications; (ii) barriers preventing effective PPG management; (iii) strategies to reduce PPG excursions and improve patient quality of life; and (iv) education and clinical tools to support endocrinologists in improving PPG management. We concluded that managing PPG to minimize or prevent diabetes-related complications will require elucidating fundamental questions about optimal ways to quantify and clinically assess the metabolic dysregulation and consequences of the abnormal postprandial state in diabetes and recommend research strategies to address these questions. We also identified practical strategies and tools that are already available to reduce barriers to effective PPG management, optimize use of new and emerging clinical tools, and improve patient self-management and quality of life.
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Affiliation(s)
| | - Grazia Aleppo
- Northwestern University Feinberg School of Medicine, Chicago, Illinois
| | - Vivian A Fonseca
- Tulane University Health Sciences Center, New Orleans, Louisiana
| | | | - Irl B Hirsch
- Treatment and Teaching Chair, University of Washington School of Medicine, Seattle, Washington
| | - Anthony L McCall
- University of Virginia School of Medicine, Charlottesville, Virginia
- Cornell University, Ithaca, New York
| | - Janet B McGill
- Washington University School of Medicine, St. Louis, Missouri
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22
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Selvin E, Wang D, McEvoy JW, Juraschek SP, Lazo M, Hamet P, Cooper M, Marre M, Williams B, Harrap S, Chalmers J, Woodward M. Response of 1,5-anhydroglucitol level to intensive glucose- and blood-pressure lowering interventions, and its associations with clinical outcomes in the ADVANCE trial. Diabetes Obes Metab 2019; 21:2017-2023. [PMID: 31050156 PMCID: PMC6620118 DOI: 10.1111/dom.13755] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/11/2019] [Revised: 04/16/2019] [Accepted: 04/30/2019] [Indexed: 12/13/2022]
Abstract
AIMS To evaluate 1,5-anhydroglucitol (1,5-AG) according to clinical outcomes and assess the effects of glucose- and blood pressure-lowering interventions on change in 1,5-AG levels in people with type 2 diabetes. METHODS We measured 1,5-AG in 6826 stored samples at baseline and in a random subsample of 684 participants at the 1-year follow-up visit in the ADVANCE trial. We examined baseline 1,5-AG [< 39.7, 39.7-66.2, ≥ 66.2 μmol/L (<6, 6-10, ≥10 μg/mL)] and microvascular and macrovascular events and mortality using Cox regression models during 5 years of follow-up. Using an intention-to-treat approach, we examined 1-year change in 1,5-AG (mean and percent) in response to the glucose- and blood pressure-lowering interventions in the subsample. RESULTS Low 1,5-AG level [<39.7 μmol/L vs ≥ 66.2 μmol/L (<6 μg/mL vs ≥10 μg/mL)] was associated with microvascular events (hazard ratio 1.28, 95% confidence interval 1.03-1.60) after adjustment for risk factors and baseline glycated haemoglobin (HbA1c); however, the associations for macrovascular events and mortality were not independent of HbA1c. The glucose-lowering intervention was associated with a significant 1-year increase in 1,5-AG (vs standard control) of 6.69 μmol/L (SE 2.52) [1.01 μg/mL (SE 0.38)], corresponding to an 8.26% (SE 0.10%) increase from baseline. We also observed an increase in 1,5-AG of similar magnitude in response to the blood pressure intervention independent of the glucose-lowering effect. CONCLUSIONS Our results suggest that 1,5-AG is a marker of risk in adults with type 2 diabetes, but only for microvascular events independently of HbA1c. We found that 1,5-AG was improved (increased) in response to an intensive glucose-lowering intervention, although the independent effect of the blood pressure-lowering intervention on 1,5-AG suggests potential non-glycaemic influences.
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Affiliation(s)
- Elizabeth Selvin
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health and the Welch Center for Prevention, Epidemiology and Clinical Research, Johns Hopkins University, Baltimore, Maryland
| | - Dan Wang
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health and the Welch Center for Prevention, Epidemiology and Clinical Research, Johns Hopkins University, Baltimore, Maryland
| | - John William McEvoy
- School of Medicine, National University of Ireland, Galway Campus, and National Institute for Preventive Cardiology, Galway, Ireland
| | - Stephen P. Juraschek
- Beth Israel Deaconess Medical Center/Harvard Medical School, Division of General Medicine, Boston, Massachusetts
| | - Mariana Lazo
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health and the Welch Center for Prevention, Epidemiology and Clinical Research, Johns Hopkins University, Baltimore, Maryland
| | - Pavel Hamet
- Center de Rechercher, Centre Hospitalier de l’Université de Montré al, Montreal, Quebec, Canada
| | - Mark Cooper
- Diabetes Department, Central Clinical School, Monash University, Melbourne, Australia
| | - Michel Marre
- Fondation Ophtalmologique Adolphe de Rothschild, Paris, France, Université Denis Diderot Paris 7, and INSERM U 1138, Paris, France
| | - Bryan Williams
- Institute of Cardiovascular Science, University College London and National Institute for Health Research (NIHR) University College London Hospitals Biomedical Research Centre, London, UK
| | - Stephen Harrap
- Department of Physiology, University of Melbourne and Royal Melbourne Hospital, Melbourne, Australia
| | - John Chalmers
- The George Institute for Global Health, University of New South Wales, Sydney, Australia
| | - Mark Woodward
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health and the Welch Center for Prevention, Epidemiology and Clinical Research, Johns Hopkins University, Baltimore, Maryland
- The George Institute for Global Health, University of New South Wales, Sydney, Australia
- The George Institute for Global Health, University of Oxford, Oxford, UK
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23
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Ignatova YS, Karetnikova VN, Horlampenko AA, Gruzdeva OV, Dyleva YA, Barbarash OL. The marker of adverse prognosis 1.5-anhydroglucitol in patients with coronary heart disease in the long-term period after planned myocardial revascularization. TERAPEVT ARKH 2019; 91:48-52. [PMID: 31094476 DOI: 10.26442/00403660.2019.04.000174] [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: 11/22/2022]
Abstract
AIM Determination of the prognostic value of 1.5-anhydroglucitol (1.5-AG) for the development of cardiovascular events in patients with coronary heart disease (CHD) within a year after a planned percutaneous coronary intervention (PCI). MATERIALS AND METHODS A prospective study was conducted in Federal State Budgetary Institution Research Institute for Complex Issues of Cardiovascular Disease among 149 patients admitted to planned PCI in the period from 2016 to 2017. Criteria for inclusion in the study: age up to 70 years, angina I-IV functional classes or post-infarction cardiosclerosis, the presence of indications for planned PCI. -Exclusion criteria from the study: previous myocardial revascularization; prosthetic heart valves; decompensation of chronic heart failure, anemia of any degree; acute coronary syndrome in index hospitalization; exacerbation of somatic diseases. The results of the research were processed by Statistica Windows 6.0. RESULTS During the year after planned PCI, 39 (26.14%) cardiovascular events were registered in patients with CHD, of whom more than half of the cases (51.28%) were associated with the presence of indications for PCI of de novo. Lower levels of 1.5-AG were observed in the group of patients with cardiovascular events (p=0.000). When patients were divided according to median of the studied marker patients with a concentration of 1.5-AG less 20.96 μg/ml (before PCI) were more likely to have PCI after restenosis of the stent, compared with patients whose median concentration of this marker was higher (p=0.028). The logistic regression method revealed a significant direct relationship reflecting the prognostic value of lower concentration of 1.5-AG in relation to the development of cardiovascular events in patients regardless of the presence of carbohydrate metabolism disorders [OR 0.25 (0.10-0.62)]. CONCLUSION According to the results of the study, the prognostic value of the concentration of 1.5-AG less 20.96 µg/ml was established in relation to the development of cardiovascular events in patients with CHD during the year after a planned PCI, regardless of the presence of carbohydrate metabolism disorders.
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Affiliation(s)
- Yu S Ignatova
- Kemerovo State Medical University of the Ministry of Health of the Russian Federation, Kemerovo, Russia
| | - V N Karetnikova
- Kemerovo State Medical University of the Ministry of Health of the Russian Federation, Kemerovo, Russia.,Research Institute for Complex Issues of Cardiovascular Diseases, Kemerovo, Russia
| | - A A Horlampenko
- Kemerovo State Medical University of the Ministry of Health of the Russian Federation, Kemerovo, Russia
| | - O V Gruzdeva
- Research Institute for Complex Issues of Cardiovascular Diseases, Kemerovo, Russia
| | - Yu A Dyleva
- Research Institute for Complex Issues of Cardiovascular Diseases, Kemerovo, Russia
| | - O L Barbarash
- Kemerovo State Medical University of the Ministry of Health of the Russian Federation, Kemerovo, Russia.,Research Institute for Complex Issues of Cardiovascular Diseases, Kemerovo, Russia
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24
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Ngaage LM, Osadebey EN, Tullie ST, Elegbede A, Rada EM, Spanakis EK, Goldberg N, Slezak S, Rasko YM. An Update on Measures of Preoperative Glycemic Control. PLASTIC AND RECONSTRUCTIVE SURGERY-GLOBAL OPEN 2019; 7:e2240. [PMID: 31333965 PMCID: PMC6571350 DOI: 10.1097/gox.0000000000002240] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2019] [Accepted: 03/08/2019] [Indexed: 12/16/2022]
Abstract
Glycemic control represents a modifiable preoperative risk factor in surgery. Traditionally, hemoglobin A1c (HbA1c) and plasma glucose are utilized as measures of glycemic control. However, studies show mixed results regarding the ability of these conventional measures to predict adverse surgical outcomes. This may be explained by the time window captured by HbA1c and serum glucose: long-term and immediate glycemic control, respectively. Fructosamine, glycosylated albumin, and 1,5-anhydroglucitol constitute alternative metrics of glycemic control that are of growing interest but are underutilized in the field of surgery. These nontraditional measures reflect the temporal variations in glycemia over the preceding days to weeks. Therefore, they may more accurately reflect glycemic control within the time window that most significantly affects surgical outcomes. Additionally, these alternative measures are predictive of negative outcomes, even in the nondiabetic population and in patients with chronic renal disease and anemia, for whom HbA1c performs poorly. Adopting these newer metrics of glycemia may enhance the value of preoperative evaluation, such that the effectiveness of any preoperative glycemic control interventions can be assessed, and adverse outcomes associated with hyperglycemia better predicted. The goal of this review is to provide an update on the preoperative management of glycemia and to describe alternative metrics that may improve our ability to predict and control for the negative outcomes associated with poor glycemic control.
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Affiliation(s)
- Ledibabari M. Ngaage
- From the Division of Plastic Surgery, University of Maryland School of Medicine, Baltimore, Md
| | | | - Sebastian T.E. Tullie
- East Kent NHS Foundation Trust, South Thames Foundation School, London, United Kingdom
| | - Adekunle Elegbede
- Department of Plastic and Reconstructive Surgery, Johns Hopkins Hospital, University of Maryland Medical Center, Baltimore, Md
| | - Erin M. Rada
- From the Division of Plastic Surgery, University of Maryland School of Medicine, Baltimore, Md
| | - Elias K. Spanakis
- Division of Diabetes and Endocrinology, Baltimore Veterans Affairs Medical Center, Baltimore, Md
- Department of Internal Medicine, Division of Endocrinology, Diabetes and Nutrition, University of Maryland School of Medicine, Baltimore, Md
| | - Nelson Goldberg
- From the Division of Plastic Surgery, University of Maryland School of Medicine, Baltimore, Md
| | - Sheri Slezak
- From the Division of Plastic Surgery, University of Maryland School of Medicine, Baltimore, Md
| | - Yvonne M. Rasko
- From the Division of Plastic Surgery, University of Maryland School of Medicine, Baltimore, Md
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25
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Loomis SJ, Köttgen A, Li M, Tin A, Coresh J, Boerwinkle E, Gibbs R, Muzny D, Pankow J, Selvin E, Duggal P. Rare variants in SLC5A10 are associated with serum 1,5-anhydroglucitol (1,5-AG) in the Atherosclerosis Risk in Communities (ARIC) Study. Sci Rep 2019; 9:5941. [PMID: 30976018 PMCID: PMC6459884 DOI: 10.1038/s41598-019-42202-0] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2018] [Accepted: 03/21/2019] [Indexed: 01/23/2023] Open
Abstract
Serum 1,5-anhydroglucitol (1,5-AG) is an emerging biomarker used to monitor glycemic control in persons with diabetes. We performed whole-exome sequencing, examining the association between rare, coding genetic variants and 1,5-AG among European ancestry (N = 6,589) and African ancestry (N = 2,309) participants without diagnosed diabetes in the Atherosclerosis Risk in Communities (ARIC) Study. Five variants representing 3 independent signals on chromosome 17 in SLC5A10, a glucose transporter not previously known to transport 1,5-AG, were associated with 1,5-AG levels up to 10.38 µg/mL lower per allele (1,5-AG range 3.4–32.8 µg/mL) in the European ancestry sample and validated in the African ancestry sample. Together these variants explained 6% of the variance in 1,5-AG. Two of these variants (rs61741107, p = 8.85E-56; rs148178887, p = 1.13E-36) were rare, nonsynonymous, and predicted to be damaging or deleterious by multiple algorithms. Gene-based SKAT-O analysis supported these results (SLC5A10 p = 5.13E-64 in European ancestry, validated in African ancestry, p = 0.006). Interestingly, these novel variants are not associated with other biomarkers of hyperglycemia or diabetes (p > 0.2). The large effect sizes and protein-altering, multiple independent signals suggest SLC5A10 may code for an important transporter of 1,5-AG in the kidney, with a potential nonglucose-related effect on 1,5-AG, impacting its clinical utility as a diabetes biomarker in this subpopulation.
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Affiliation(s)
- Stephanie J Loomis
- Department of Epidemiology, The Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, USA
| | - Anna Köttgen
- Department of Epidemiology, The Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, USA.,Institute of Genetic Epidemiology, Medical Center and Faculty of Medicine - University of Freiburg, Freiburg, Germany
| | - Man Li
- Department of Epidemiology, The Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, USA.,Division of Nephrology and Department of Human Genetics, University of Utah, Salt Lake City, Utah, USA
| | - Adrienne Tin
- Department of Epidemiology, The Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, USA
| | - Josef Coresh
- Department of Epidemiology, The Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, USA.,Welch Center for Prevention, Epidemiology, & Clinical Research, The Johns Hopkins University, Baltimore, MD, USA
| | - Eric Boerwinkle
- Department of Epidemiology, The University of Texas Health Science Center at Houston School of Public Health at Houston, Houston, TX, USA
| | - Richard Gibbs
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA
| | - Donna Muzny
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA
| | - James Pankow
- Division of Epidemiology and Community Health, University of Minnesota, Minneapolis, MN, USA
| | - Elizabeth Selvin
- Department of Epidemiology, The Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, USA.,Welch Center for Prevention, Epidemiology, & Clinical Research, The Johns Hopkins University, Baltimore, MD, USA
| | - Priya Duggal
- Department of Epidemiology, The Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, USA.
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26
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Watson LE, Phillips LK, Wu T, Bound MJ, Checklin HL, Grivell J, Jones KL, Clifton PM, Horowitz M, Rayner CK. A whey/guar "preload" improves postprandial glycaemia and glycated haemoglobin levels in type 2 diabetes: A 12-week, single-blind, randomized, placebo-controlled trial. Diabetes Obes Metab 2019; 21:930-938. [PMID: 30520216 DOI: 10.1111/dom.13604] [Citation(s) in RCA: 31] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/20/2018] [Revised: 11/20/2018] [Accepted: 12/01/2018] [Indexed: 02/05/2023]
Abstract
AIMS To evaluate the effects of 12 weeks of treatment with a whey/guar preload on gastric emptying, postprandial glycaemia and glycated haemoglobin (HbA1c) levels in people with type 2 diabetes (T2DM). MATERIALS AND METHODS A total of 79 people with T2DM, managed on diet or metformin (HbA1c 49 ± 0.7 mmol/mol [6.6 ± 0.1%]), were randomized, in single-blind fashion, to receive 150 mL flavoured preloads, containing either 17 g whey protein plus 5 g guar (n = 37) or flavoured placebo (n = 42), 15 minutes before two meals, each day for 12 weeks. Blood glucose and gastric emptying (breath test) were measured before and after a mashed potato meal at baseline (without preload), and after the preload at the beginning (week 1) and end (week 12) of treatment. HbA1c levels, energy intake, weight and body composition were also evaluated. RESULTS Gastric emptying was slower (P < 0.01) and postprandial blood glucose levels lower (P < 0.05) with the whey/guar preload compared to placebo preload, and the magnitude of reduction in glycaemia was related to the rate of gastric emptying at both week 1 (r = -0.54, P < 0.001) and week 12 (r = -0.54, P < 0.0001). At the end of treatment, there was a 1 mmol/mol [0.1%] reduction in HbA1c in the whey/guar group compared to the placebo group (49 ± 1.0 mmol/mol [6.6 ± 0.05%] vs. 50 ± 0.8 mmol/mol [6.7 ± 0.05%]; P < 0.05). There were no differences in energy intake, body weight, or lean or fat mass between the groups. CONCLUSIONS In patients with well-controlled T2DM, 12 weeks' treatment with a low-dose whey/guar preload, taken twice daily before meals, had sustained effects of slowing gastric emptying and reducing postprandial blood glucose, which were associated with a modest reduction in HbA1c, without causing weight gain.
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Affiliation(s)
- Linda E Watson
- Discipline of Medicine, Adelaide Medical School, University of Adelaide, Adelaide, Australia
| | - Liza K Phillips
- Discipline of Medicine, Adelaide Medical School, University of Adelaide, Adelaide, Australia
- Departments of Endocrinology and Gastroenterology, Royal Adelaide Hospital, Adelaide, Australia
| | - Tongzhi Wu
- Discipline of Medicine, Adelaide Medical School, University of Adelaide, Adelaide, Australia
- Departments of Endocrinology and Gastroenterology, Royal Adelaide Hospital, Adelaide, Australia
| | - Michelle J Bound
- Discipline of Medicine, Adelaide Medical School, University of Adelaide, Adelaide, Australia
| | - Helen L Checklin
- Discipline of Medicine, Adelaide Medical School, University of Adelaide, Adelaide, Australia
| | - Jacqueline Grivell
- Discipline of Medicine, Adelaide Medical School, University of Adelaide, Adelaide, Australia
| | - Karen L Jones
- Discipline of Medicine, Adelaide Medical School, University of Adelaide, Adelaide, Australia
- School of Pharmacy and Medical Sciences, University of South Australia, Adelaide, Australia
| | - Peter M Clifton
- Departments of Endocrinology and Gastroenterology, Royal Adelaide Hospital, Adelaide, Australia
- School of Pharmacy and Medical Sciences, University of South Australia, Adelaide, Australia
| | - Michael Horowitz
- Discipline of Medicine, Adelaide Medical School, University of Adelaide, Adelaide, Australia
- Departments of Endocrinology and Gastroenterology, Royal Adelaide Hospital, Adelaide, Australia
| | - Christopher K Rayner
- Discipline of Medicine, Adelaide Medical School, University of Adelaide, Adelaide, Australia
- Departments of Endocrinology and Gastroenterology, Royal Adelaide Hospital, Adelaide, Australia
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27
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Ding N, Kwak L, Ballew SH, Jaar B, Hoogeveen RC, Ballantyne CM, Sharrett AR, Folsom AR, Heiss G, Salameh M, Coresh J, Hirsch AT, Selvin E, Matsushita K. Traditional and nontraditional glycemic markers and risk of peripheral artery disease: The Atherosclerosis Risk in Communities (ARIC) study. Atherosclerosis 2018; 274:86-93. [PMID: 29753232 PMCID: PMC5999570 DOI: 10.1016/j.atherosclerosis.2018.04.042] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/29/2018] [Revised: 04/09/2018] [Accepted: 04/27/2018] [Indexed: 01/27/2023]
Abstract
BACKGROUND AND AIMS Traditional glycemic markers, fasting glucose and hemoglobin A1c (HbA1c), predict incident peripheral artery disease (PAD). However, it is unknown whether nontraditional glycemic markers, fructosamine, glycated albumin, and 1,5-anhydroglucitol, are associated with PAD and whether these glycemic markers demonstrate particularly strong associations with severe PAD, critical limb ischemia (CLI). METHODS We quantified the associations of these five glycemic markers with incident PAD (hospitalizations with PAD diagnosis or leg revascularization) in 11,634 ARIC participants using Cox regression models. Participants were categorized according to diabetes diagnosis and clinical cut-points of glycemic markers (nontraditional glycemic markers were categorized according to percentiles corresponding to the HbA1c cut-points). RESULTS Over a median follow-up of 20.7 years, there were 392 cases of PAD (133 were CLI with tissue loss). HbA1c was more strongly associated with incident PAD than fasting glucose, with adjusted hazard ratios (HR) 6.00 (95% CI, 3.73-9.66) for diagnosed diabetes with HbA1c ≥ 7% and 3.53 (2.39-5.22) for no diagnosed diabetes with HbA1c ≥ 6.5% compared to no diagnosed diabetes with HbA1c <5.7%. Three nontraditional glycemic markers demonstrated risk gradients intermediate between HbA1c and fasting glucose and their risk gradients were substantially attenuated after adjusting for HbA1c. All glycemic markers consistently demonstrated stronger associations with CLI than PAD without CLI (p for difference <0.02 for all glycemic markers). CONCLUSIONS Nontraditional glycemic markers were associated with incident PAD independent of fasting glucose but not necessarily HbA1c. Our results also support the importance of glucose metabolism in the progression to CLI.
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Affiliation(s)
- Ning Ding
- Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Lucia Kwak
- Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | | | - Bernard Jaar
- Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA; Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | | | | | | | - Aaron R Folsom
- University of Minnesota School of Public Health, Minneapolis, MN, USA
| | - Gerardo Heiss
- University of North Carolina at Chapel Hill Gillings School of Global Public Health, Chapel Hill, NC, USA
| | - Maya Salameh
- Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Josef Coresh
- Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA; Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Alan T Hirsch
- University of Minnesota School of Medicine, Minneapolis, MN, USA
| | - Elizabeth Selvin
- Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA; Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Kunihiro Matsushita
- Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA; Johns Hopkins University School of Medicine, Baltimore, MD, USA.
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Heller S, Bowering K, Raskin P, Liebl A, Buchholtz K, Gorst‐Rasmussen A, Pieber TR. The effect of basal-bolus therapy varies with baseline 1,5-anhydroglucitol level in people with Type 2 diabetes: a post hoc analysis. Diabet Med 2018; 35:1273-1278. [PMID: 29802636 PMCID: PMC6099439 DOI: 10.1111/dme.13693] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 05/23/2018] [Indexed: 11/28/2022]
Abstract
AIMS To investigate the impact of baseline 1,5-anhydroglucitol on the treatment effect of basal-bolus therapy in people with Type 2 diabetes. METHODS Post hoc analysis of onset 3, an 18-week, randomized, phase 3 trial evaluating the efficacy and safety of fast-acting insulin aspart in basal-bolus therapy (n = 116) vs. basal insulin-only therapy (n = 120) in people with Type 2 diabetes. The estimated treatment difference in change from baseline in HbA1c was investigated for different cut-off values of baseline 1,5-anhydroglucitol (2, 3, 4, 5 and 6 μg/ml). RESULTS The estimated treatment difference in change from baseline in HbA1c between basal-bolus therapy and basal insulin-only therapy was statistically significantly greater in participants with baseline 1,5-anhydroglucitol ≤3 μg/ml (n = 34) vs. >3 μg/ml (n = 198) [estimated treatment difference (95% CI): -1.53% (-2.12; -0.94) vs. -0.82% (-1.07; -0.57); P-value for interaction = 0.03]. The estimated treatment difference became more pronounced when comparing participants with 1,5-anhydroglucitol ≤2 μg/ml (n = 15) vs. >2 μg/ml (n = 217) [estimated treatment difference (95% CI): -2.26% (-3.15; -1.36) vs. -0.85% (-1.08; -0.62); P-value for interaction = 0.003]. For cut-off values ≥4 μg/ml, estimated treatment differences were numerically greater below the cut-off compared with above, although the interaction terms were not statistically significant. CONCLUSION This analysis indicates that people with Type 2 diabetes with low 1,5-anhydroglucitol have an added treatment benefit with basal-bolus therapy compared with people with higher 1,5-anhydroglucitol. Further research is needed to clarify any clinical utility of these findings. Clinical Trials Registry No: NCT01850615.
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Affiliation(s)
- S. Heller
- Academic Unit of DiabetesEndocrinology and MetabolismUniversity of SheffieldSheffieldUK
| | - K. Bowering
- Division of Endocrinology and MetabolismDepartment of MedicineUniversity of AlbertaEdmontonAlbertaCanada
| | - P. Raskin
- University of Texas Southwestern Medical CenterDallasTXUSA
| | - A. Liebl
- Center for Diabetes and Metabolismm&i‐Fachklinik Bad HeilbrunnBad HeilbrunnGermany
| | | | | | - T. R. Pieber
- Division of Endocrinology and DiabetologyMedical University of GrazGrazAustria
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Hirata T, Okamura T. Association Between Glycemic Control and Incident Stroke ― Overview From an Epidemiologic Study ―. Circ J 2018; 82:1499-1500. [DOI: 10.1253/circj.cj-18-0422] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Affiliation(s)
- Takumi Hirata
- Department of Preventive Medicine and Epidemiology, Tohoku Medical Megabank Organization, Tohoku University
| | - Tomonori Okamura
- Department of Preventive Medicine and Public Health, Keio University School of Medicine
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Sydow K, Wiedfeld C, Musshoff F, Madea B, Tschoepe D, Stratmann B, Hess C. Evaluation of 1,5-anhydro-d-glucitol in clinical and forensic urine samples. Forensic Sci Int 2018; 287:88-97. [PMID: 29655100 DOI: 10.1016/j.forsciint.2018.03.002] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2017] [Revised: 02/22/2018] [Accepted: 03/02/2018] [Indexed: 10/17/2022]
Abstract
Because of the lack of characteristic morphological findings post mortem diagnosis of diabetes mellitus and identification of diabetic coma can be complicated. 1,5-Anhydroglucitol (1,5-AG), the 1-deoxy form of glucose, competes with glucose for renal reabsorption. Therefore low serum concentrations of 1,5-AG, reflect hyperglycemic excursions over the prior 1-2 weeks in diabetic patients. Next to clinical applications determination of 1,5-AG can also be used in forensic analysis. To investigate the elimination of 1,5-AG, a liquid chromatographic-mass spectrometric method for the determination of 1,5-AG and creatinine in urine was developed and validated according to international guidelines. To evaluate ante mortem concentrations of 1,5-AG spot urine samples of 30 healthy subjects, 46 type 1 and 46 type 2 diabetic patients were analyzed. 1,5-AG urine concentrations of diabetic patients were significantly (p<0.001) lower (mean: 1.54μg/ml, n=92) compared to concentrations of healthy subjects (mean: 4.76μg/ml, n=30) which led to the idea that 1,5-AG urine concentrations post mortem might help in the interpretation of a diabetic coma post mortem. Urine of 47 deceased non-diabetics, 37 deceased diabetic and 9 cases of diabetic coma were measured. Comparison of blood and urine 1,5-AG concentrations in clinic samples (linear, R2=0.13) and forensic samples (linear, R2=0.02) showed no correlation. Urinary levels of 1,5-AG in deceased diabetic (mean 6.9μg/ml) and in non-diabetic patients (mean 6.3μg/ml) did not show a significant difference (p=0.752). However, urinary 1,5-AG concentrations in deceased due to diabetic coma (mean: 1.7μg/ml) were significantly lower than in non-diabetic (mean: 6.3μg/ml, p=0.039) and lower than in diabetic cases (mean: 4.7μg/ml, p=0.058). The determination of a reliable cut-off for the differentiation of diabetic to diabetic coma cases was not possible. Normalization of urinary 1,5-AG concentrations with the respective creatinine concentrations did not show any gain of information. In clinical (serum) and forensic blood samples a significant difference between all groups could be detected (p<0.05). Comparison of blood and urine 1,5-AG concentrations in clinical samples (linear, R2=0.13) and forensic samples (linear, R2=0.02) showed no correlation.
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Affiliation(s)
- Konrad Sydow
- Institute of Forensic Medicine, University of Bonn, Stiftsplatz 12, D-53111 Bonn, Germany.
| | - Christopher Wiedfeld
- Institute of Forensic Medicine, University of Bonn, Stiftsplatz 12, D-53111 Bonn, Germany.
| | - Frank Musshoff
- Forensic Toxicological Center, Bayerstraße 53, 80335 Munich, Germany.
| | - Burkhard Madea
- Institute of Forensic Medicine, University of Bonn, Stiftsplatz 12, D-53111 Bonn, Germany.
| | - Diethelm Tschoepe
- Herz- und Diabeteszentrum NRW, Ruhr Universität Bochum, Georgstraße 11, 32545 Bad Oeynhausen, Germany.
| | - Bernd Stratmann
- Herz- und Diabeteszentrum NRW, Ruhr Universität Bochum, Georgstraße 11, 32545 Bad Oeynhausen, Germany.
| | - Cornelius Hess
- Institute of Forensic Medicine, University of Bonn, Stiftsplatz 12, D-53111 Bonn, Germany.
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Ying L, Ma X, Yin J, Wang Y, He X, Peng J, Bao Y, Zhou J, Jia W. The metabolism and transport of 1,5-anhydroglucitol in cells. Acta Diabetol 2018; 55:279-286. [PMID: 29318370 DOI: 10.1007/s00592-017-1093-8] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/19/2017] [Accepted: 12/19/2017] [Indexed: 11/30/2022]
Abstract
AIMS Our previous studies demonstrated that serum 1,5-anhydroglucitol (1,5-AG) levels increased slightly rather than declined after an acute glucose load. Therefore, the current study aims at exploring the transport and metabolic characteristics of 1,5-AG, as well as the effect of glucose on 1,5-AG transport. METHODS Km and Vmax were determined to measure the affinity of glucose oxidase (GOD) and hexokinase (HK) for 1,5-AG and glucose. HepG2, C2C12, and primary mouse hepatocytes were incubated for 2 h with 1,5-AG at concentrations of 0, 80, and 160 μg/mL. Then, intracellular and extracellular concentrations of 1,5-AG were measured before and after washing with PBS to evaluate the transport and metabolic rates of 1,5-AG. In addition, the influence of an acute glucose load on the transport of 1,5-AG was studied. RESULTS The affinity of GOD and HK for 1,5-AG is 5 and 42.5% of that for glucose, respectively. Moreover, there is no de novo synthesis of 1,5-AG, and its metabolic rate is < 3%. After a 2 h incubation with additional 1,5-AG, the intracellular levels of 1,5-AG were 50-80% of extracellular levels. Moreover, intracellular 1,5-AG concentrations decreased rapidly and reached zero following the removal of 1,5-AG from the external medium. In addition, an acute glucose load can affect the dynamic balance of 1,5-AG, causing the intracellular 1,5-AG levels to decline significantly and the extracellular levels to increase slightly in HepG2 cells. CONCLUSIONS Unlike glucose, 1,5-AG is hard to be metabolized in vivo, and its transport is influenced by an acute glucose load in hepatocytes.
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Affiliation(s)
- Lingwen Ying
- Department of Endocrinology and Metabolism, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai Clinical Center for Diabetes, Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, 600 Yishan Road, Shanghai, 200233, China
| | - Xiaojing Ma
- Department of Endocrinology and Metabolism, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai Clinical Center for Diabetes, Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, 600 Yishan Road, Shanghai, 200233, China
| | - Jun Yin
- Department of Endocrinology and Metabolism, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai Clinical Center for Diabetes, Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, 600 Yishan Road, Shanghai, 200233, China.
| | - Yufei Wang
- Department of Endocrinology and Metabolism, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai Clinical Center for Diabetes, Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, 600 Yishan Road, Shanghai, 200233, China
| | - Xingxing He
- Department of Endocrinology and Metabolism, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai Clinical Center for Diabetes, Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, 600 Yishan Road, Shanghai, 200233, China
| | - Jiahui Peng
- Department of Endocrinology and Metabolism, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai Clinical Center for Diabetes, Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, 600 Yishan Road, Shanghai, 200233, China
| | - Yuqian Bao
- Department of Endocrinology and Metabolism, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai Clinical Center for Diabetes, Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, 600 Yishan Road, Shanghai, 200233, China
| | - Jian Zhou
- Department of Endocrinology and Metabolism, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai Clinical Center for Diabetes, Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, 600 Yishan Road, Shanghai, 200233, China.
| | - Weiping Jia
- Department of Endocrinology and Metabolism, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai Clinical Center for Diabetes, Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, 600 Yishan Road, Shanghai, 200233, China
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Tavares G, Venturini G, Padilha K, Zatz R, Pereira AC, Thadhani RI, Rhee EP, Titan SMO. 1,5-Anhydroglucitol predicts CKD progression in macroalbuminuric diabetic kidney disease: results from non-targeted metabolomics. Metabolomics 2018; 14:39. [PMID: 30830377 DOI: 10.1007/s11306-018-1337-9] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/31/2017] [Accepted: 02/06/2018] [Indexed: 11/28/2022]
Abstract
INTRODUCTION Metabolomics allows exploration of novel biomarkers and provides insights on metabolic pathways associated with disease. To date, metabolomics studies on CKD have been largely limited to Caucasian populations and have mostly examined surrogate end points. OBJECTIVE In this study, we evaluated the role of metabolites in predicting a primary outcome defined as dialysis need, doubling of serum creatinine or death in Brazilian macroalbuminuric DKD patients. METHODS Non-targeted metabolomics was performed on plasma from 56 DKD patients. Technical triplicates were done. Metabolites were identified using Agilent Fiehn GC/MS Metabolomics and NIST libraries (Agilent MassHunter Work-station Quantitative Analysis, version B.06.00). After data cleaning, 186 metabolites were left for analyses. RESULTS During a median follow-up time of 2.5 years, the PO occurred in 17 patients (30.3%). In non-parametric testing, 13 metabolites were associated with the PO. In univariate Cox regression, only 1,5-anhydroglucitol (HR 0.10; 95% CI 0.01-0.63, p = .01), norvaline and L-aspartic acid were associated with the PO. After adjustment for baseline renal function, 1,5-anhydroglucitol (HR 0.10; 95% CI 0.02-0.63, p = .01), norvaline (HR 0.01; 95% CI 0.001-0.4, p = .01) and aspartic acid (HR 0.12; 95% CI 0.02-0.64, p = .01) remained significantly and inversely associated with the PO. CONCLUSION Our results show that lower levels of 1,5-anhydroglucitol, norvaline and L-aspartic acid are associated with progression of macroalbuminuric DKD. While norvaline and L-aspartic acid point to interesting metabolic pathways, 1,5-anhydroglucitol is of particular interest since it has been previously shown to be associated with incident CKD. This inverse biomarker of hyperglycemia should be further explored as a new tool in DKD.
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Affiliation(s)
- Gesiane Tavares
- Nephrology Division, University of São Paulo Medical School, Av Dr Enéas de Carvalho Aguiar, 255, São Paulo, SP, 05403-000, Brazil.
| | - Gabriela Venturini
- Laboratory of Genetics and Molecular Cardiology, Heart Institute, University of São Paulo Medical School, São Paulo, SP, Brazil
| | - Kallyandra Padilha
- Laboratory of Genetics and Molecular Cardiology, Heart Institute, University of São Paulo Medical School, São Paulo, SP, Brazil
| | - Roberto Zatz
- Nephrology Division, University of São Paulo Medical School, Av Dr Enéas de Carvalho Aguiar, 255, São Paulo, SP, 05403-000, Brazil
| | - Alexandre C Pereira
- Laboratory of Genetics and Molecular Cardiology, Heart Institute, University of São Paulo Medical School, São Paulo, SP, Brazil
| | - Ravi I Thadhani
- Division of Nephrology, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA
- Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Eugene P Rhee
- Division of Nephrology, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA
- Division of Endocrinology, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Silvia M O Titan
- Nephrology Division, University of São Paulo Medical School, Av Dr Enéas de Carvalho Aguiar, 255, São Paulo, SP, 05403-000, Brazil
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Hu X, He X, Ma X, Su H, Ying L, Peng J, Wang Y, Bao Y, Zhou J, Jia W. A decrease in serum 1,5-anhydroglucitol levels is associated with the presence of a first-degree family history of diabetes in a Chinese population with normal glucose tolerance. Diabet Med 2018; 35:131-136. [PMID: 29057494 DOI: 10.1111/dme.13534] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 10/17/2017] [Indexed: 12/17/2022]
Abstract
AIM This study aimed to investigate alterations in HbA1c , glycated albumin (GA) and 1,5-anhydroglucitol (1,5-AG) in Chinese first-degree relatives of individuals with diabetes (FDR) in pursuit of an index for early screening of glucose metabolism disturbance. METHODS A total of 467 participants (age range: 20-78 years) with normal weight and normal glucose tolerance, as determined by a 75-g oral glucose tolerance test, were enrolled. HbA1c was measured using high-performance liquid chromatography. Serum GA and 1,5-AG levels were determined by enzymatic methods. Serum insulin levels were measured using an electrochemiluminescence immunoassay. RESULTS The study population included 208 FDR and 259 non-FDR. Serum 1,5-AG levels were lower in FDR than that in non-FDR (20.4 ± 7.5 vs 23.8 ± 8.3 μg/ml, P < 0.001), but HbA1c and GA levels did not differ between them (P = 0.835 and 0.469, respectively). Logistic regression analysis revealed an independent relationship between a first-degree family history of diabetes and reduced serum 1,5-AG levels (odds ratio = 0.944, P < 0.001). Multiple regression analysis showed that a first-degree family history of diabetes (β = -3.041, P < 0.001) and insulinogenic index (β = 0.081, P = 0.001) were independently associated with serum 1,5-AG levels. CONCLUSION In a Chinese population with normal glucose tolerance, serum 1,5-AG levels were lower among FDR, and serum 1,5-AG levels were independently associated with FDR status. For FDR, serum 1,5-AG levels were more sensitive than HbA1c or GA levels to early-phase abnormality in glucose metabolism.
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Affiliation(s)
- X Hu
- Department of Endocrinology and Metabolism, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai Clinical Center for Diabetes, Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai, China
| | - X He
- Department of Endocrinology and Metabolism, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai Clinical Center for Diabetes, Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai, China
| | - X Ma
- Department of Endocrinology and Metabolism, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai Clinical Center for Diabetes, Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai, China
| | - H Su
- Department of Endocrinology and Metabolism, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai Clinical Center for Diabetes, Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai, China
| | - L Ying
- Department of Endocrinology and Metabolism, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai Clinical Center for Diabetes, Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai, China
| | - J Peng
- Department of Endocrinology and Metabolism, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai Clinical Center for Diabetes, Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai, China
| | - Y Wang
- Department of Endocrinology and Metabolism, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai Clinical Center for Diabetes, Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai, China
| | - Y Bao
- Department of Endocrinology and Metabolism, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai Clinical Center for Diabetes, Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai, China
| | - J Zhou
- Department of Endocrinology and Metabolism, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai Clinical Center for Diabetes, Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai, China
| | - W Jia
- Department of Endocrinology and Metabolism, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai Clinical Center for Diabetes, Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai, China
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Ouchi S, Shimada K, Miyazaki T, Takahashi S, Sugita Y, Shimizu M, Murata A, Kadoguchi T, Kato T, Aikawa T, Suda S, Sai E, Hiki M, Iwata H, Kasai T, Miyauchi K, Daida H. Low 1,5-anhydroglucitol levels are associated with long-term cardiac mortality in acute coronary syndrome patients with hemoglobin A1c levels less than 7.0. Cardiovasc Diabetol 2017; 16:151. [PMID: 29157245 PMCID: PMC5696682 DOI: 10.1186/s12933-017-0636-1] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/27/2017] [Accepted: 11/10/2017] [Indexed: 02/08/2023] Open
Abstract
BACKGROUND Diabetes mellitus is considered an important risk factor for cardiovascular diseases. High hemoglobin A1c (HbA1c) levels, which indicate poor glycemic control, have been associated with occurrence of cardiovascular diseases. There are few parameters which can predict cardiovascular risk in patients with well-controlled diabetes. Low 1,5-anhydroglucitol (1,5-AG) levels are considered a clinical marker of postprandial hyperglycemia. We hypothesized that low 1,5-AG levels could predict long-term mortality in acute coronary syndrome (ACS) patients with relatively low HbA1c levels. METHODS The present study followed a retrospective observational study design. We enrolled 388 consecutive patients with ACS admitted to the cardiac intensive care unit at the Juntendo University Hospital from January 2011 to December 2013. Levels of 1,5-AG were measured immediately before emergency coronary angiography. Patients with early stent thrombosis, no significant coronary artery stenosis, malignancy, liver cirrhosis, a history of gastrectomy, current steroid treatment, moderately to severely reduced kidney function (estimated glomerular filtration rate < 45 ml/min/1.73 m2; chronic kidney disease stage 3B, 4, and 5), HbA1c levels ≥ 7.0%, and those who received sodium glucose co-transporter 2 inhibitor therapy were excluded. RESULTS During the 46.9-month mean follow-up period, nine patients (4.5%) died of cardiovascular disease. The 1,5-AG level was significantly lower in the cardiac death group compared with that in the survivor group (12.3 ± 5.3 vs. 19.2 ± 7.7 µg/ml, p < 0.01). Kaplan-Meier survival analysis showed that low 1,5-AG levels were associated with cardiac mortality (p = 0.02). Multivariable Cox regression analysis showed that 1,5-AG levels were an independent predictor of cardiac mortality (hazard ratio 0.76; 95% confidence interval 0.41-0.98; p = 0.03). CONCLUSION Low 1,5-AG levels, which indicate postprandial hyperglycemia, predict long-term cardiac mortality even in ACS patients with HbA1c levels < 7.0%.
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Affiliation(s)
- Shohei Ouchi
- Department of Cardiovascular Medicine, Juntendo University Graduate School of Medicine, 2-1-1 Hongo Bunkyo-ku, Tokyo, 113-8421 Japan
| | - Kazunori Shimada
- Department of Cardiovascular Medicine, Juntendo University Graduate School of Medicine, 2-1-1 Hongo Bunkyo-ku, Tokyo, 113-8421 Japan
| | - Tetsuro Miyazaki
- Department of Cardiovascular Medicine, Juntendo University Graduate School of Medicine, 2-1-1 Hongo Bunkyo-ku, Tokyo, 113-8421 Japan
| | - Shuhei Takahashi
- Department of Cardiovascular Medicine, Juntendo University Graduate School of Medicine, 2-1-1 Hongo Bunkyo-ku, Tokyo, 113-8421 Japan
| | - Yurina Sugita
- Department of Cardiovascular Medicine, Juntendo University Graduate School of Medicine, 2-1-1 Hongo Bunkyo-ku, Tokyo, 113-8421 Japan
| | - Megumi Shimizu
- Department of Cardiovascular Medicine, Juntendo University Graduate School of Medicine, 2-1-1 Hongo Bunkyo-ku, Tokyo, 113-8421 Japan
| | - Azusa Murata
- Department of Cardiovascular Medicine, Juntendo University Graduate School of Medicine, 2-1-1 Hongo Bunkyo-ku, Tokyo, 113-8421 Japan
| | - Tomoyasu Kadoguchi
- Department of Cardiovascular Medicine, Juntendo University Graduate School of Medicine, 2-1-1 Hongo Bunkyo-ku, Tokyo, 113-8421 Japan
| | - Takao Kato
- Department of Cardiovascular Medicine, Juntendo University Graduate School of Medicine, 2-1-1 Hongo Bunkyo-ku, Tokyo, 113-8421 Japan
| | - Tatsuro Aikawa
- Department of Cardiovascular Medicine, Juntendo University Graduate School of Medicine, 2-1-1 Hongo Bunkyo-ku, Tokyo, 113-8421 Japan
| | - Shoko Suda
- Department of Cardiovascular Medicine, Juntendo University Graduate School of Medicine, 2-1-1 Hongo Bunkyo-ku, Tokyo, 113-8421 Japan
| | - Eiryu Sai
- Department of Cardiovascular Medicine, Juntendo University Graduate School of Medicine, 2-1-1 Hongo Bunkyo-ku, Tokyo, 113-8421 Japan
| | - Masaru Hiki
- Department of Cardiovascular Medicine, Juntendo University Graduate School of Medicine, 2-1-1 Hongo Bunkyo-ku, Tokyo, 113-8421 Japan
| | - Hiroshi Iwata
- Department of Cardiovascular Medicine, Juntendo University Graduate School of Medicine, 2-1-1 Hongo Bunkyo-ku, Tokyo, 113-8421 Japan
| | - Takatoshi Kasai
- Department of Cardiovascular Medicine, Juntendo University Graduate School of Medicine, 2-1-1 Hongo Bunkyo-ku, Tokyo, 113-8421 Japan
| | - Katsumi Miyauchi
- Department of Cardiovascular Medicine, Juntendo University Graduate School of Medicine, 2-1-1 Hongo Bunkyo-ku, Tokyo, 113-8421 Japan
| | - Hiroyuki Daida
- Department of Cardiovascular Medicine, Juntendo University Graduate School of Medicine, 2-1-1 Hongo Bunkyo-ku, Tokyo, 113-8421 Japan
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Chan CL, Pyle L, Kelsey M, Newnes L, Baumgartner A, Zeitler PS, Nadeau KJ. Alternate glycemic markers reflect glycemic variability in continuous glucose monitoring in youth with prediabetes and type 2 diabetes. Pediatr Diabetes 2017; 18:629-636. [PMID: 27873436 PMCID: PMC5440227 DOI: 10.1111/pedi.12475] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/20/2016] [Revised: 10/17/2016] [Accepted: 10/20/2016] [Indexed: 01/07/2023] Open
Abstract
OBJECTIVE To determine whether the alternate glycemic markers, fructosamine (FA), glycated albumin (GA), and 1,5-anhydroglucitol (1,5AG), predict glycemic variability captured by continuous glucose monitoring (CGM) in obese youth with prediabetes and type 2 diabetes (T2D). STUDY DESIGN Youth with BMI ≥85th%ile, 10-18 years, had collection of fasting plasma glucose (FPG), hemoglobin A1c (HbA1c), FA, GA, and 1,5AG and 72 hours of CGM. Participants with HbA1c ≥5.7% were included. Relationships between glycemic markers and CGM variables were determined with Spearman correlation coefficients. Linear models were used to examine the association between alternate markers and CGM measures of glycemic variability-standard deviation (SD) and mean amplitude of glycemic excursions (MAGE)-after controlling for HbA1c. RESULTS Total n = 56; Median (25th%ile, 75th%ile) age = 14.3 years (12.5, 15.9), 32% male, 64% Hispanic, 20% black, 13% white, HbA1c = 5.9% (5.8, 6.3), FA=211 mmol/L (200, 226), GA= 12% (11%, 12%), and 1,5AG = 22mcg/mL (19, 26). HbA1c correlated with average sensor glucose, AUC, SD, MAGE, and %time > 140 mg/dL. FA and GA correlated with average and peak sensor glucose, %time >140 and >200 mg/dL, and MAGE. GA also correlated with SD and AUC180. 1,5AG correlated with peak glucose, AUC180, SD, and MAGE. After adjusting for HbA1c, all 3 markers independently predicted MAGE; FA and GA independently predicted SD. CONCLUSIONS Alternate glycemic markers predict glycemic variability as measured by CGM in youth with prediabetes and T2D. After adjusting for HbA1c, these alternate markers continued to predict components of glycemic variability detected by CGM.
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Affiliation(s)
- Christine L. Chan
- Department of Pediatrics, Division of Pediatric Endocrinology, Children's Hospital Colorado and University of Colorado Anschutz Medical Campus, Aurora, CO 80045
| | - Laura Pyle
- Department of Pediatrics, Administrative Division, University of Colorado Anschutz Medical Campus, Aurora, CO 80045,Department of Biostatistics and Informatics, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO 80045
| | - Megan Kelsey
- Department of Pediatrics, Division of Pediatric Endocrinology, Children's Hospital Colorado and University of Colorado Anschutz Medical Campus, Aurora, CO 80045
| | - Lindsey Newnes
- Department of Pediatrics, Division of Pediatric Endocrinology, Children's Hospital Colorado and University of Colorado Anschutz Medical Campus, Aurora, CO 80045
| | - Amy Baumgartner
- Department of Pediatrics, Division of Pediatric Endocrinology, Children's Hospital Colorado and University of Colorado Anschutz Medical Campus, Aurora, CO 80045
| | - Philip S. Zeitler
- Department of Pediatrics, Division of Pediatric Endocrinology, Children's Hospital Colorado and University of Colorado Anschutz Medical Campus, Aurora, CO 80045
| | - Kristen J. Nadeau
- Department of Pediatrics, Division of Pediatric Endocrinology, Children's Hospital Colorado and University of Colorado Anschutz Medical Campus, Aurora, CO 80045
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Shiga Y, Kuriyama M, Kanaya Y, Takeshima S, Takemaru M, Takamatsu K, Shimoe Y, Fujikawa Y, Nishigaki M. Serum 1,5-Anhydroglucitol: Risk Factor of Acute Ischemic Stroke and Transient Ischemic Attack in Well-Controlled Diabetes. Cerebrovasc Dis 2017; 44:325-329. [PMID: 29073616 DOI: 10.1159/000481626] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2017] [Accepted: 09/17/2017] [Indexed: 11/19/2022] Open
Abstract
BACKGROUND Serum 1,5-anhydroglucitol (1,5-AG) levels are a measure that provides information on daily glycemic variations. We evaluated whether 1,5-AG could be a possible marker of acute ischemic stroke (AIS) or transient ischemic attacks (TIA) in patients with diabetes mellitus (DM). METHODS We retrospectively reviewed electronic medical records of 5,294 AIS/TIA patients. Of the 5,294, 1,898 had diabetes and in 1,246, serum 1,5-AG levels were measured (group S). Group S was divided into 2 subgroups: hemoglobin A1c (HbA1c) <7% (S-low) and >7% (S-high). As controls, 394 outpatients with diabetes (group C) without AIS/TIA were likewise divided into subgroups, C-low and C-high according to HbA1c level. In each HbA1c subgroup, the association between serum 1,5-AG (≥14 vs. <14 µg/mL) and stroke was examined using multivariable logistic regression (MLR) with stepwise variable selection. In model 1, the OR and 95% CI was examined adjusted for age and gender. Known risk factors for stroke; hypertension, dyslipidemia, alcohol consumption, smoking, and estimated glomerular filtration rate were included in model 2. RESULTS Overall, serum 1,5-AG levels were lower in group S than in group C. Serum 1,5-AG levels were low in subgroups S-high and C-high, showing no differences in mean values. However, mean serum 1,5-AG levels in S-low was statistically lower than that in C-low. MLR analysis showed that the OR for low (<14 µg/mL) 1,5-AG for stroke was statistically significant only in well-controlled diabetes (OR [95% CI] 2.19 [1.54-3.10]) in model 1 and (2.26 [1.56-3.28]) model 2. CONCLUSIONS Low serum 1,5-AG levels could be a possible marker for AIS/TIA risk in patients with well-controlled DM.
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Affiliation(s)
- Yuji Shiga
- Department of Neurology, Brain Attack Center Ota Memorial Hospital, Hiroshima, Japan
| | - Masaru Kuriyama
- Department of Neurology, Brain Attack Center Ota Memorial Hospital, Hiroshima, Japan
| | - Yuhei Kanaya
- Department of Neurology, Brain Attack Center Ota Memorial Hospital, Hiroshima, Japan
| | - Shinichi Takeshima
- Department of Neurology, Brain Attack Center Ota Memorial Hospital, Hiroshima, Japan
| | - Makoto Takemaru
- Department of Neurology, Brain Attack Center Ota Memorial Hospital, Hiroshima, Japan
| | - Kazuhiro Takamatsu
- Department of Neurology, Brain Attack Center Ota Memorial Hospital, Hiroshima, Japan
| | - Yutaka Shimoe
- Department of Neurology, Brain Attack Center Ota Memorial Hospital, Hiroshima, Japan
| | - Yasunori Fujikawa
- Department of Internal Medicine, Brain Attack Center Ota Memorial Hospital, Hiroshima, Japan
| | - Masakazu Nishigaki
- Human Health Science, Graduate School of Medicine and Faculty of Medicine Kyoto University, Kyoto, Japan
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Rebholz CM, Grams ME, Chen Y, Gross AL, Sang Y, Coresh J, Selvin E. Serum Levels of 1,5-Anhydroglucitol and Risk of Incident End-Stage Renal Disease. Am J Epidemiol 2017; 186:952-960. [PMID: 28535187 DOI: 10.1093/aje/kwx167] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2016] [Accepted: 12/19/2016] [Indexed: 12/16/2022] Open
Abstract
Glycemic excursions, independent of average glucose, have been implicated in the development of diabetic complications. It is unknown whether low levels of 1,5-anhydroglucitol (1,5-AG) are associated with advanced stages of kidney disease independent of kidney function and glycemia. In the Atherosclerosis Risk in Communities Study (n = 13,277 from 4 US communities), we used structural equation modeling to estimate the association between serum 1,5-AG levels and end-stage renal disease (ESRD) from baseline (1990-1992) through 2013 with adjustment for demographics, risk factors, a latent variable for glycemia (diabetes status, fasting glucose, glycated hemoglobin (HbA1c), fructosamine, glycated albumin), and a latent variable for kidney function (creatinine, cystatin C, β2-microglobulin). After adjusting for demographics, risk factors, and the latent variable for kidney function, the linear spline terms representing 1,5-AG levels <6.0 μg/mL (incidence rate ratio (IRR) = 0.79, 95% confidence interval (CI): 0.70, 0.88) and 6.0-9.9 μg/mL (IRR = 0.80, 95% CI: 0.70, 0.92) were significantly associated with ESRD. After additionally adjusting for the latent variable for glycemia, low 1,5-AG levels (<6.0 μg/mL) were no longer significantly associated with ESRD (IRR = 0.92, 95% CI: 0.81, 1.05). In conclusion, low 1,5-AG levels are associated with higher risk of incident ESRD independent of baseline kidney function but not independent of glycemia.
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Juraschek SP, Miller ER, Appel LJ, Christenson RH, Sacks FM, Selvin E. Effects of dietary carbohydrate on 1,5-anhydroglucitol in a population without diabetes: results from the OmniCarb trial. Diabet Med 2017; 34:1407-1413. [PMID: 28574153 PMCID: PMC5603394 DOI: 10.1111/dme.13391] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 05/30/2017] [Indexed: 12/15/2022]
Abstract
AIMS To determine the effects of dietary changes in amount and type of carbohydrate on 1,5-anhydroglucitol levels. METHODS We conducted an ancillary study to a completed, randomized clinical trial in overweight and obese adults without diabetes (N=159). Using a crossover design, participants were fed each one of four diets in turn for 5 weeks, with 2-week washout periods inbetween. The four diets were: high glycaemic index (≥65) with high proportion of carbohydrate (58% kcal) (GC); low glycaemic index (GI≤45) with low proportion of carbohydrate (40% kcal) (gc); low glycaemic index with high proportion of carbohydrate (gC); and high glycaemic index with low proportion of carbohydrate (Gc). Plasma 1,5-anhydroglucitol levels were measured at baseline and after each feeding period. RESULTS At baseline, participants had a mean age of 53 years (53% women, 52% non-Hispanic black, 50% obese). Their mean fasting glucose and 1,5-anhydroglucitol levels were 97 mg/dl (5.4 mmol/l) and 18.6 μg/mL (113.3 μmol/l), respectively. Compared with baseline, each of the four diets reduced 1,5-anhydroglucitol by a range of -2.4 to -3.7 μg/mL (-14.6 to -22.5 μmol/l); all P <0.001). Reducing either glycaemic index or proportion of carbohydrate lowered 1,5-anhydroglucitol levels. These effects were additive, such that reducing both glycaemic index and proportion of carbohydrates decreased 1,5-anhydroglucitol by -1.31 μg/mL [95% CI: -1.63, -0.99; P<0.001 or -8.0 (-9.9, -6.0) μmol/l]. Furthermore, these effects were confirmed in a subgroup of participants with 12-h glucose monitoring and no documented hyperglycaemia (fasting glucose <160 mg/dl or 8.9 mmol/l). CONCLUSIONS Both type and amount of dietary carbohydrate affect 1,5-anhydroglucitol plasma concentrations in adults without diabetes. This finding contradicts the long-standing notion that 1,5-anhydroglucitol remains at constant concentrations in the blood in the absence of hyperglycaemic excursions. (Clinical trials registry number: NCT00051350).
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Affiliation(s)
- Stephen P Juraschek
- The Johns Hopkins School of Medicine, The Johns Hopkins Bloomberg School of Public Health, and The Welch Center for Prevention, Epidemiology and Clinical Research, Johns Hopkins Medical Institutions, Baltimore MD
| | - Edgar R Miller
- The Johns Hopkins School of Medicine, The Johns Hopkins Bloomberg School of Public Health, and The Welch Center for Prevention, Epidemiology and Clinical Research, Johns Hopkins Medical Institutions, Baltimore MD
| | - Lawrence J Appel
- The Johns Hopkins School of Medicine, The Johns Hopkins Bloomberg School of Public Health, and The Welch Center for Prevention, Epidemiology and Clinical Research, Johns Hopkins Medical Institutions, Baltimore MD
| | | | - Frank M. Sacks
- Harvard T.H. Chan School of Public Health, Harvard Medical School, Brigham & Women’s Hospital
| | - Elizabeth Selvin
- The Johns Hopkins School of Medicine, The Johns Hopkins Bloomberg School of Public Health, and The Welch Center for Prevention, Epidemiology and Clinical Research, Johns Hopkins Medical Institutions, Baltimore MD
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Rawlings AM, Sharrett AR, Mosley TH, Ballew SH, Deal JA, Selvin E. Glucose Peaks and the Risk of Dementia and 20-Year Cognitive Decline. Diabetes Care 2017; 40:879-886. [PMID: 28500217 PMCID: PMC5481977 DOI: 10.2337/dc16-2203] [Citation(s) in RCA: 66] [Impact Index Per Article: 9.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/13/2016] [Accepted: 03/30/2017] [Indexed: 02/07/2023]
Abstract
OBJECTIVE Hemoglobin A1c (HbA1c), a measure of average blood glucose level, is associated with the risk of dementia and cognitive impairment. However, the role of glycemic variability or glucose excursions in this association is unclear. We examined the association of glucose peaks in midlife, as determined by the measurement of 1,5-anhydroglucitol (1,5-AG) level, with the risk of dementia and 20-year cognitive decline. RESEARCH DESIGN AND METHODS Nearly 13,000 participants from the Atherosclerosis Risk in Communities (ARIC) study were examined. Dementia was ascertained from surveillance, neuropsychological testing, telephone calls with participants or their proxies, or death certificate dementia codes. Cognitive function was assessed using three neuropsychological tests at three visits over 20 years and was summarized as z scores. We used Cox and linear mixed-effects models. 1,5-AG level was dichotomized at 10 μg/mL and examined within clinical categories of HbA1c. RESULTS Over a median time of 21 years, dementia developed in 1,105 participants. Among persons with diabetes, each 5 μg/mL decrease in 1,5-AG increased the estimated risk of dementia by 16% (hazard ratio 1.16, P = 0.032). For cognitive decline among participants with diabetes and HbA1c <7% (53 mmol/mol), those with glucose peaks had a 0.19 greater z score decline over 20 years (P = 0.162) compared with those without peaks. Among participants with diabetes and HbA1c ≥7% (53 mmol/mol), those with glucose peaks had a 0.38 greater z score decline compared with persons without glucose peaks (P < 0.001). We found no significant associations in persons without diabetes. CONCLUSIONS Among participants with diabetes, glucose peaks are a risk factor for cognitive decline and dementia. Targeting glucose peaks, in addition to average glycemia, may be an important avenue for prevention.
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Affiliation(s)
- Andreea M Rawlings
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD
| | - A Richey Sharrett
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD
| | - Thomas H Mosley
- Department of Medicine, University of Mississippi Medical Center, Jackson, MS
| | - Shoshana H Ballew
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD
| | - Jennifer A Deal
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD
| | - Elizabeth Selvin
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD
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Genome-wide association study of 1,5-anhydroglucitol identifies novel genetic loci linked to glucose metabolism. Sci Rep 2017; 7:2812. [PMID: 28588231 PMCID: PMC5460207 DOI: 10.1038/s41598-017-02287-x] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2017] [Accepted: 04/18/2017] [Indexed: 01/23/2023] Open
Abstract
1,5-anhydroglucitol (1,5-AG) is a biomarker of hyperglycemic excursions associated with diabetic complications. Because of its structural similarity to glucose, genetic studies of 1,5-AG can deliver complementary insights into glucose metabolism. We conducted genome-wide association studies of serum 1,5-AG concentrations in 7,550 European ancestry (EA) and 2,030 African American participants (AA) free of diagnosed diabetes from the ARIC Study. Seven loci in/near EFNA1/SLC50A1, MCM6/LCT, SI, MGAM, MGAM2, SLC5A10, and SLC5A1 showed genome-wide significant associations (P < 5 × 10-8) among EA participants, five of which were novel. Six of the seven loci were successfully replicated in 8,790 independent EA individuals, and MCM6/LCT and SLC5A10 were also associated among AA. Most of 1,5-AG-associated index SNPs were not associated with the clinical glycemic markers fasting glucose or the HbA1c, and vice versa. Only the index variant in SLC5A1 showed a significant association with fasting glucose in the expected opposing direction. Products of genes in all 1,5-AG-associated loci have known roles in carbohydrate digestion and enteral or renal glucose transport, suggesting that genetic variants associated with 1,5-AG influence its concentration via effects on glucose metabolism and handling.
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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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Su H, Ma X, Yin J, Wang Y, He X, Bao Y, Zhou J, Jia W. Serum 1,5-anhydroglucitol levels slightly increase rather than decrease after a glucose load in subjects with different glucose tolerance status. Acta Diabetol 2017; 54:463-470. [PMID: 28210869 DOI: 10.1007/s00592-017-0968-z] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/10/2016] [Accepted: 01/28/2017] [Indexed: 12/16/2022]
Abstract
AIMS Previous studies showed that serum 1,5-anhydroglucitol (1,5-AG) levels are significantly reduced in patients with diabetes mellitus (DM). However, it remains unclear how 1,5-AG levels acutely change in response to a glucose load. This study explored acute changes in 1,5-AG levels after a glucose load and the related influencing factors in individuals with differing degrees of glucose tolerance. METHODS A total of 681 participants (353 without DM and 328 with DM) without a prior history of DM were enrolled. All participants underwent an oral glucose tolerance test. Fasting and postload (30, 60, 120, and 180 min) levels of plasma glucose, serum 1,5-AG, and insulin were measured. RESULTS In all participant groups, serum 1,5-AG levels were slightly elevated after a glucose load and reached peak values at 120 min after loading (all P < 0.05). Regression analysis showed that body weight was negatively associated with the difference between peak and baseline 1,5-AG levels (Δ1,5-AG, standardized β = -0.119, P < 0.01). A strong and positive association between 1,5-AG0 and Δ1,5-AG was also found independent of other confounding factors (standardized β = 0.376, P < 0.01). The ratio of the Δ1,5-AG to the 1,5-AG0 was higher in DM patients (7.3% [3.4-11.5%]) than in those without DM (6.2% [3.6-9.2%]). CONCLUSIONS In contrast to the established decline in 1,5-AG levels with long-term hyperglycemia, the present study showed that serum 1,5-AG levels slightly increased by 6-7% after a glucose load. Further studies in different 1,5-AG transport models are needed to investigate the relevant metabolic pathways.
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Affiliation(s)
- Hang Su
- Department of Endocrinology and Metabolism, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai Clinical Center for Diabetes, Shanghai Key Clinical Center for Metabolic Disease, Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, 600 Yishan Road, Shanghai, 200233, China
| | - Xiaojing Ma
- Department of Endocrinology and Metabolism, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai Clinical Center for Diabetes, Shanghai Key Clinical Center for Metabolic Disease, Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, 600 Yishan Road, Shanghai, 200233, China
| | - Jun Yin
- Department of Endocrinology and Metabolism, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai Clinical Center for Diabetes, Shanghai Key Clinical Center for Metabolic Disease, Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, 600 Yishan Road, Shanghai, 200233, China
| | - Yufei Wang
- Department of Endocrinology and Metabolism, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai Clinical Center for Diabetes, Shanghai Key Clinical Center for Metabolic Disease, Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, 600 Yishan Road, Shanghai, 200233, China
| | - Xingxing He
- Department of Endocrinology and Metabolism, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai Clinical Center for Diabetes, Shanghai Key Clinical Center for Metabolic Disease, Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, 600 Yishan Road, Shanghai, 200233, China
| | - Yuqian Bao
- Department of Endocrinology and Metabolism, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai Clinical Center for Diabetes, Shanghai Key Clinical Center for Metabolic Disease, Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, 600 Yishan Road, Shanghai, 200233, China
| | - Jian Zhou
- Department of Endocrinology and Metabolism, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai Clinical Center for Diabetes, Shanghai Key Clinical Center for Metabolic Disease, Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, 600 Yishan Road, Shanghai, 200233, China.
- Department of Endocrinology and Metabolism, Kashgar Prefecture Second People's Hospital, Liberated South Road, Kashgar, 844000, Xinjiang Uygur Autonomous Region, China.
| | - Weiping Jia
- Department of Endocrinology and Metabolism, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai Clinical Center for Diabetes, Shanghai Key Clinical Center for Metabolic Disease, Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, 600 Yishan Road, Shanghai, 200233, China.
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Su H, Wang Y, Ma X, He X, Ying L, Tang J, Dong L, Bao Y, Zhou J, Jia W. Comparative Agreement Analysis of Differences in 1,5-Anhydroglucitol, Glycated Albumin, and Glycated Hemoglobin A1c Levels between Fasting and Postprandial States in Steamed Bread Meal Test. Int J Endocrinol 2017; 2017:5917293. [PMID: 29104592 PMCID: PMC5632448 DOI: 10.1155/2017/5917293] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/04/2017] [Revised: 08/10/2017] [Accepted: 08/23/2017] [Indexed: 12/16/2022] Open
Abstract
BACKGROUND Our previous study indicated that serum 1,5-anhydroglucitol (1,5-AG) levels slightly increased after a glucose load; therefore, this study was conducted to explore short-term changes in 1,5-AG levels after a steamed bread meal test (SBMT) and compare the agreement of 1,5-AG, glycated albumin (GA), and glycated hemoglobin A1c (HbA1c) levels between fasting and postprandial states after an SBMT. METHODS 104 participants were recruited and underwent a 100 g SBMT. Fasting, 30 min, and 120 min of 1,5-AG, GA, and HbA1c were measured. RESULTS Levels of 1,5-AG slightly increased from 30 to 120 min after an SBMT (P < 0.01), and HbA1c and GA levels showed stability at 30 and 120 min. The Passing-Bablok regression linear equation showed that postprandial 1,5-AG, GA, and HbA1c levels were well fitted (all P > 0.05), and Bland-Altman difference plot showed that 100% of data points for HbA1c30 and HbA1c120 fell within the limits of agreement; 94.2%, 96.2%, 95.2%, and 95.2% of data points for 1,5-AG30, 1,5-AG120, GA30, and GA120 fell within the limits of agreement, respectively. CONCLUSION Agreement analyses indicated good stability of 1,5-AG, GA, and HbA1c levels after the SBMT. HbA1c had an optimal stability, which was superior to that of GA or 1,5-AG.
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Affiliation(s)
- Hang Su
- Department of Endocrinology and Metabolism, Shanghai Clinical Center for Diabetes, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Diabetes Institute, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai 200233, China
| | - Yufei Wang
- Department of Endocrinology and Metabolism, Shanghai Clinical Center for Diabetes, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Diabetes Institute, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai 200233, China
| | - Xiaojing Ma
- Department of Endocrinology and Metabolism, Shanghai Clinical Center for Diabetes, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Diabetes Institute, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai 200233, China
| | - Xingxing He
- Department of Endocrinology and Metabolism, Shanghai Clinical Center for Diabetes, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Diabetes Institute, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai 200233, China
| | - Lingwen Ying
- Department of Endocrinology and Metabolism, Shanghai Clinical Center for Diabetes, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Diabetes Institute, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai 200233, China
| | - Junling Tang
- Department of Endocrinology and Metabolism, Shanghai Clinical Center for Diabetes, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Diabetes Institute, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai 200233, China
| | - Lu Dong
- Department of Endocrinology and Metabolism, Shanghai Clinical Center for Diabetes, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Diabetes Institute, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai 200233, China
| | - Yuqian Bao
- Department of Endocrinology and Metabolism, Shanghai Clinical Center for Diabetes, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Diabetes Institute, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai 200233, China
| | - Jian Zhou
- Department of Endocrinology and Metabolism, Shanghai Clinical Center for Diabetes, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Diabetes Institute, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai 200233, China
| | - Weiping Jia
- Department of Endocrinology and Metabolism, Shanghai Clinical Center for Diabetes, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Diabetes Institute, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai 200233, China
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Di Pino A, Urbano F, Piro S, Purrello F, Rabuazzo AM. Update on pre-diabetes: Focus on diagnostic criteria and cardiovascular risk. World J Diabetes 2016; 7:423-432. [PMID: 27795816 PMCID: PMC5065662 DOI: 10.4239/wjd.v7.i18.423] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/07/2016] [Revised: 06/24/2016] [Accepted: 08/15/2016] [Indexed: 02/05/2023] Open
Abstract
Pre-diabetes, which is typically defined as blood glucose concentrations higher than normal but lower than the diabetes threshold, is a high-risk state for diabetes and cardiovascular disease development. As such, it represents three groups of individuals: Those with impaired fasting glucose (IFG), those with impaired glucose tolerance (IGT) and those with a glycated haemoglobin (HbA1c) between 39-46 mmol/mol. Several clinical trials have shown the important role of IFG, IGT and HbA1c-pre-diabetes as predictive tools for the risk of developing type 2 diabetes. Moreover, with regard to cardiovascular disease, pre-diabetes is associated with more advanced vascular damage compared with normoglycaemia, independently of confounding factors. In view of these observations, diagnosis of pre-diabetes is mandatory to prevent or delay the development of the disease and its complications; however, a number of previous studies reported that the concordance between pre-diabetes diagnoses made by IFG, IGT or HbA1c is scarce and there are conflicting data as to which of these methods best predicts cardiovascular disease. This review highlights recent studies and current controversies in the field. In consideration of the expected increased use of HbA1c as a screening tool to identify individuals with alteration of glycaemic homeostasis, we focused on the evidence regarding the ability of HbA1c as a diagnostic tool for pre-diabetes and as a useful marker in identifying patients who have an increased risk for cardiovascular disease. Finally, we reviewed the current evidence regarding non-traditional glycaemic biomarkers and their use as alternatives to or additions to traditional ones.
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Takahashi S, Shimada K, Miyauchi K, Miyazaki T, Sai E, Ogita M, Tsuboi S, Tamura H, Okazaki S, Shiozawa T, Ouchi S, Aikawa T, Kadoguchi T, Al Shahi H, Yoshihara T, Hiki M, Isoda K, Daida H. Low and exacerbated levels of 1,5-anhydroglucitol are associated with cardiovascular events in patients after first-time elective percutaneous coronary intervention. Cardiovasc Diabetol 2016; 15:145. [PMID: 27729086 PMCID: PMC5057449 DOI: 10.1186/s12933-016-0459-5] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/23/2016] [Accepted: 09/27/2016] [Indexed: 12/18/2022] Open
Abstract
Background Postprandial hyperglycemia plays an important role in the pathogenesis of coronary artery disease and cardiovascular events. Serum 1,5-anhydroglucitol (1,5-AG) levels are known to be a clinical marker of postprandial hyperglycemia. However, the impact of 1,5-AG level on cardiovascular events has not been fully investigated. Methods We enrolled 240 consecutive patients who had undergone first-time elective percutaneous coronary intervention (PCI) with follow-up angiography within 1 year. We excluded patients with a history of acute coronary syndrome, advanced chronic kidney disease (estimated glomerular filtration rate <30 mL/min/1.73 m2), or uncontrolled diabetes mellitus (HbA1c ≥7.0 %). Fasting blood glucose (FBS), HbA1c, and 1,5-AG levels were measured prior to PCI and at the time of follow-up angiography. Clinical events, including target lesion revascularization, target vessel revascularization, and revascularization of new lesions, were evaluated. Results Subjects were divided into two groups according to clinical outcomes: the Event (+) group (n = 40) and the Event (−) group (n = 200). No significant differences were observed, except for the number of diseased vessels and the prevalence of statin use, in baseline clinical characteristics between the two groups. Serum levels of 1,5-AG at follow-up were significantly lower in the Event (+) group than in the Event (−) group (P = 0.02). A significant reduction in 1,5-AG level from baseline to follow-up was observed in the Event (+) group compared with the Event (−) group (P = 0.04). The association between 1,5-AG levels at follow-up and clinical events remained significant after adjustment for independent variables, including FBS and HbA1c levels (P = 0.04). Conclusions Low and exacerbated levels of 1,5-AG were associated with cardiovascular events in the present study, indicating that postprandial hyperglycemia is an important risk factor for adverse clinical events even in patients with HbA1c < 7.0 %, following first-time elective PCI.
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Affiliation(s)
- Shuhei Takahashi
- Department of Cardiovascular Medicine, Juntendo University Graduate School of Medicine, 2-1-1, Hongo, Bunkyo-ku, Tokyo, 113-8421, Japan
| | - Kazunori Shimada
- Department of Cardiovascular Medicine, Juntendo University Graduate School of Medicine, 2-1-1, Hongo, Bunkyo-ku, Tokyo, 113-8421, Japan.
| | - Katsumi Miyauchi
- Department of Cardiovascular Medicine, Juntendo University Graduate School of Medicine, 2-1-1, Hongo, Bunkyo-ku, Tokyo, 113-8421, Japan
| | - Tetsuro Miyazaki
- Department of Cardiovascular Medicine, Juntendo University Graduate School of Medicine, 2-1-1, Hongo, Bunkyo-ku, Tokyo, 113-8421, Japan
| | - Eiryu Sai
- Department of Cardiovascular Medicine, Juntendo University Graduate School of Medicine, 2-1-1, Hongo, Bunkyo-ku, Tokyo, 113-8421, Japan
| | - Manabu Ogita
- Department of Cardiovascular Medicine, Juntendo University Graduate School of Medicine, 2-1-1, Hongo, Bunkyo-ku, Tokyo, 113-8421, Japan
| | - Shuta Tsuboi
- Department of Cardiovascular Medicine, Juntendo University Graduate School of Medicine, 2-1-1, Hongo, Bunkyo-ku, Tokyo, 113-8421, Japan
| | - Hiroshi Tamura
- Department of Cardiovascular Medicine, Juntendo University Graduate School of Medicine, 2-1-1, Hongo, Bunkyo-ku, Tokyo, 113-8421, Japan
| | - Shinya Okazaki
- Department of Cardiovascular Medicine, Juntendo University Graduate School of Medicine, 2-1-1, Hongo, Bunkyo-ku, Tokyo, 113-8421, Japan
| | - Tomoyuki Shiozawa
- Department of Cardiovascular Medicine, Juntendo University Graduate School of Medicine, 2-1-1, Hongo, Bunkyo-ku, Tokyo, 113-8421, Japan
| | - Shohei Ouchi
- Department of Cardiovascular Medicine, Juntendo University Graduate School of Medicine, 2-1-1, Hongo, Bunkyo-ku, Tokyo, 113-8421, Japan
| | - Tatsuro Aikawa
- Department of Cardiovascular Medicine, Juntendo University Graduate School of Medicine, 2-1-1, Hongo, Bunkyo-ku, Tokyo, 113-8421, Japan
| | - Tomoyasu Kadoguchi
- Department of Cardiovascular Medicine, Juntendo University Graduate School of Medicine, 2-1-1, Hongo, Bunkyo-ku, Tokyo, 113-8421, Japan
| | - Hamad Al Shahi
- Department of Cardiovascular Medicine, Juntendo University Graduate School of Medicine, 2-1-1, Hongo, Bunkyo-ku, Tokyo, 113-8421, Japan
| | - Takuma Yoshihara
- Department of Cardiovascular Medicine, Juntendo University Graduate School of Medicine, 2-1-1, Hongo, Bunkyo-ku, Tokyo, 113-8421, Japan
| | - Makoto Hiki
- Department of Cardiovascular Medicine, Juntendo University Graduate School of Medicine, 2-1-1, Hongo, Bunkyo-ku, Tokyo, 113-8421, Japan
| | - Kikuo Isoda
- Department of Cardiovascular Medicine, Juntendo University Graduate School of Medicine, 2-1-1, Hongo, Bunkyo-ku, Tokyo, 113-8421, Japan
| | - Hiroyuki Daida
- Department of Cardiovascular Medicine, Juntendo University Graduate School of Medicine, 2-1-1, Hongo, Bunkyo-ku, Tokyo, 113-8421, Japan
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Liang M, McEvoy JW, Chen Y, Sharrett AR, Selvin E. Association of a Biomarker of Glucose Peaks, 1,5-Anhydroglucitol, With Subclinical Cardiovascular Disease. Diabetes Care 2016; 39:1752-9. [PMID: 27481841 PMCID: PMC5033083 DOI: 10.2337/dc16-0840] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/18/2016] [Accepted: 07/05/2016] [Indexed: 02/03/2023]
Abstract
OBJECTIVE 1,5-Anhydroglucitol (1,5-AG) is a biomarker of glucose peaks and has been associated with clinical cardiovascular disease. However, the association between 1,5-AG and subclinical cardiovascular disease is unknown. We investigated the association of 1,5-AG with subclinical myocardial damage (assessed by high-sensitivity cardiac troponin T [hs-cTnT]) and atherosclerosis (assessed by carotid intima-media thickness [CIMT] and carotid plaque). RESEARCH DESIGN AND METHODS We measured 1,5-AG, hs-cTnT, CIMT, and carotid plaque among 10,072 people without diabetes and 681 with diabetes who attended the second examination of the Atherosclerosis Risk in Communities (ARIC) Study (baseline, 1990-1992). We used Poisson regression to characterize the associations between 1,5-AG and prevalent elevated hs-cTnT, thick CIMT, or carotid plaque. Among 9,145 people with a second hs-cTnT measurement 6 years later, we used multinomial logistic regression to assess associations with incident elevation in hs-cTnT. RESULTS We found that in people with diabetes, lower 1,5-AG (<6 μg/mL) was cross-sectionally associated with elevated hs-cTnT (prevalence ratio 2.06, 95% CI 1.23-3.46) compared with higher 1,5-AG (≥10 μg/mL). Associations in people without diabetes and with thick CIMT or the presence of carotid plaque were less robust. Low 1,5-AG was prospectively associated with the 6-year incident elevation in hs-cTnT (relative risk 2.90, 95% CI 1.23-6.85) in people with diabetes. All associations were strongly attenuated with further adjustment for HbA1c. CONCLUSIONS In people with diabetes, 1,5-AG was associated with subclinical cardiovascular disease, particularly chronic subclinical myocardial damage. Nonetheless, whether observed associations are truly independent of average glycemia is unclear.
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Affiliation(s)
- Menglu Liang
- Department of Epidemiology and the Welch Center for Prevention, Epidemiology and Clinical Research, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD
| | - John William McEvoy
- Department of Epidemiology and the Welch Center for Prevention, Epidemiology and Clinical Research, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD Ciccarone Center for the Prevention of Heart Disease, Johns Hopkins University School of Medicine, Baltimore, MD
| | - Yuan Chen
- Department of Epidemiology and the Welch Center for Prevention, Epidemiology and Clinical Research, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD
| | - A Richey Sharrett
- Department of Epidemiology and the Welch Center for Prevention, Epidemiology and Clinical Research, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD
| | - Elizabeth Selvin
- Department of Epidemiology and the Welch Center for Prevention, Epidemiology and Clinical Research, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD Division of General Internal Medicine, Department of Medicine, Johns Hopkins University, Baltimore, MD
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Pramodkumar TA, Jayashri R, Gokulakrishnan K, Velmurugan K, Pradeepa R, Anjana RM, Mohan V. Relationship of glycemic control markers - 1,5 anhydroglucitol, fructosamine, and glycated hemoglobin among Asian Indians with different degrees of glucose intolerance. Indian J Endocrinol Metab 2016; 20:690-695. [PMID: 27730082 PMCID: PMC5040052 DOI: 10.4103/2230-8210.190559] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/29/2022] Open
Abstract
OBJECTIVE 1,5 anhydroglucitol (1,5 AG) is emerging as a marker of short-term glycemic control. We measured levels of 1,5 AG, fructosamine (FA), and glycated hemoglobin (HbA1c) in Asian Indians with different degrees of glucose intolerance. MATERIALS AND METHODS We recruited 210 individuals with normal glucose tolerance (NGT; n = 60), impaired glucose tolerance (IGT; n = 50), and Type 2 diabetes mellitus (T2DM; n = 100) from a large tertiary diabetes center in Chennai in Southern India. Anthropometric measurements were obtained using standardized techniques. Serum 1,5 AG (enzymatic colorimetric assay), FA (NBT/kinetic), and HbA1c (high-performance liquid chromatography) estimations were performed. RESULTS 1,5 AG levels were significantly lower in the T2DM followed by IGT compared with the NGT group (7.9 vs. 18.8 vs. 21.8 µg/ml, P < 0.05). FA and HbA1c were higher in T2DM and IGT compared with NGT individuals (313 vs. 237 vs. 200 µmol/L, P < 0.001) (8.3 vs. 5.8 vs. 5.3%, P < 0.001).1,5 AG showed a significant negative correlation with FA (r = -0.618, P < 0.001) and HbA1c (r = -0.700, P < 0.001). 1,5 AG decreased with increasing quartiles of postprandial glucose (P for trend <0.001). However, even among individuals with HbA1c ≤7%, 27% individuals had decreased 1,5 AG plasma level (<10 µg/ml). CONCLUSION Circulatory levels of 1,5 AG correlate negatively with FA and HbA1c, and may provide an additional marker to assess glycemic control in patients with Type 2 diabetes.
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Affiliation(s)
| | - Ramamoorthy Jayashri
- Madras Diabetes Research Foundation and Dr. Mohan's Diabetes Specialities Centre, Gopalapuram, Chennai, Tamil Nadu, India
| | - Kuppan Gokulakrishnan
- Madras Diabetes Research Foundation and Dr. Mohan's Diabetes Specialities Centre, Gopalapuram, Chennai, Tamil Nadu, India
| | - Kaliyaperumal Velmurugan
- Madras Diabetes Research Foundation and Dr. Mohan's Diabetes Specialities Centre, Gopalapuram, Chennai, Tamil Nadu, India
| | - Rajendra Pradeepa
- Madras Diabetes Research Foundation and Dr. Mohan's Diabetes Specialities Centre, Gopalapuram, Chennai, Tamil Nadu, India
| | - Ranjit Mohan Anjana
- Madras Diabetes Research Foundation and Dr. Mohan's Diabetes Specialities Centre, Gopalapuram, Chennai, Tamil Nadu, India
| | - Viswanathan Mohan
- Madras Diabetes Research Foundation and Dr. Mohan's Diabetes Specialities Centre, Gopalapuram, Chennai, Tamil Nadu, India
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Parrinello CM, Matsushita K, Woodward M, Wagenknecht LE, Coresh J, Selvin E. Risk prediction of major complications in individuals with diabetes: the Atherosclerosis Risk in Communities Study. Diabetes Obes Metab 2016; 18:899-906. [PMID: 27161077 PMCID: PMC4993670 DOI: 10.1111/dom.12686] [Citation(s) in RCA: 10] [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: 02/29/2016] [Revised: 04/29/2016] [Accepted: 05/03/2016] [Indexed: 12/11/2022]
Abstract
AIMS To develop a prediction equation for 10-year risk of a combined endpoint (incident coronary heart disease, stroke, heart failure, chronic kidney disease, lower extremity hospitalizations) in people with diabetes, using demographic and clinical information, and a panel of traditional and non-traditional biomarkers. METHODS We included in the study 654 participants in the Atherosclerosis Risk in Communities (ARIC) study, a prospective cohort study, with diagnosed diabetes (visit 2; 1990-1992). Models included self-reported variables (Model 1), clinical measurements (Model 2), and glycated haemoglobin (Model 3). Model 4 tested the addition of 12 blood-based biomarkers. We compared models using prediction and discrimination statistics. RESULTS Successive stages of model development improved risk prediction. The C-statistics (95% confidence intervals) of models 1, 2, and 3 were 0.667 (0.64, 0.70), 0.683 (0.65, 0.71), and 0.694 (0.66, 0.72), respectively (p < 0.05 for differences). The addition of three traditional and non-traditional biomarkers [β-2 microglobulin, creatinine-based estimated glomerular filtration rate (eGFR), and cystatin C-based eGFR] to Model 3 significantly improved discrimination (C-statistic = 0.716; p = 0.003) and accuracy of 10-year risk prediction for major complications in people with diabetes (midpoint percentiles of lowest and highest deciles of predicted risk changed from 18-68% to 12-87%). CONCLUSIONS These biomarkers, particularly those of kidney filtration, may help distinguish between people at low versus high risk of long-term major complications.
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Affiliation(s)
- Christina M. Parrinello
- Department of Epidemiology and the Welch Center for Prevention, Epidemiology and Clinical Research, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Kunihiro Matsushita
- Department of Epidemiology and the Welch Center for Prevention, Epidemiology and Clinical Research, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Mark Woodward
- Department of Epidemiology and the Welch Center for Prevention, Epidemiology and Clinical Research, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
- The George Institute for Global Health, University of Oxford, Oxford, UK
- The George Institute for Global Health, University of Sydney, New South Wales, Australia
| | - Lynne E. Wagenknecht
- Division of Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA
| | - Josef Coresh
- Department of Epidemiology and the Welch Center for Prevention, Epidemiology and Clinical Research, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
- Division of General Internal Medicine, Department of Medicine, Johns Hopkins University, Baltimore, Maryland, USA
| | - Elizabeth Selvin
- Department of Epidemiology and the Welch Center for Prevention, Epidemiology and Clinical Research, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
- Division of General Internal Medicine, Department of Medicine, Johns Hopkins University, Baltimore, Maryland, USA
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49
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Ikeda N, Hara H, Hiroi Y, Nakamura M. Impact of serum 1,5-anhydro-d-glucitol level on prediction of major adverse cardiac and cerebrovascular events in non-diabetic patients without coronary artery disease. Atherosclerosis 2016; 253:1-6. [PMID: 27569457 DOI: 10.1016/j.atherosclerosis.2016.08.016] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/27/2016] [Revised: 07/20/2016] [Accepted: 08/18/2016] [Indexed: 11/16/2022]
Abstract
BACKGROUND AND AIMS Increasing evidence has demonstrated that postprandial hyperglycemia and fluctuation of glucose level affect cardiovascular events. The serum 1,5-anhydro-d-glucitol (1,5-AG) level rapidly decreases concomitantly with urinary glucose excretion in hyperglycemia and is a useful clinical marker of short-term glycemic status. However, there is few established evidence regarding the predictive value of 1,5-AG for cardiovascular events in individuals without diabetes mellitus (DM). The aim of this study is 1) to prove predictive value of 1,5-AG for cardiovascular events in high risk population, and 2) the predictive value is true of even in non-diabetic population. METHODS Serum 1,5-AG values and coronary angiograms of 889 patients were evaluated. The study patients were divided into two groups (1,5-AG<10.0 μg/ml-group and 1,5-AG≥10.0 μg/ml-group) by their measured 1,5-AG values. They were followed-up and information regarding major adverse cardiac and cerebrovascular events (MACCE) was collected. MACCE consists of all causes of death, stroke, non-fatal myocardial infarction and cardiovascular hospitalization. RESULTS During the follow-up period (757 ± 357days), 216 patients presented with MACCE. In all patients, the 1,5-AG <10.0 μg/ml -group demonstrated significantly higher risk of MACCE (adjusted hazard ratio 1.63). Even in non-DM patients without coronary artery disease, the 1,5-AG <10.0 μg/m-group showed significantly higher risk of MACCE (adjusted hazard ratio 2.34). Similar results were found even if the events were limited to: all cause death, non-fatal myocardial infarction and stroke (adjusted hazard ratio 4.07) or all cause death (adjusted hazard ratio 3.54). CONCLUSIONS Serum 1,5-AG value predicts MACCE even in non-DM patients without coronary artery disease.
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Affiliation(s)
- Nobutaka Ikeda
- Division of Cardiovascular Medicine, National Center for Global Health and Medicine, Japan; Division of Cardiovascular Medicine, Toho University Ohashi Medical Center, Japan.
| | - Hisao Hara
- Division of Cardiovascular Medicine, National Center for Global Health and Medicine, Japan
| | - Yukio Hiroi
- Division of Cardiovascular Medicine, National Center for Global Health and Medicine, Japan
| | - Masato Nakamura
- Division of Cardiovascular Medicine, Toho University Ohashi Medical Center, Japan
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50
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Carson AP, Muntner P, Selvin E, Carnethon MR, Li X, Gross MD, Garvey WT, Lewis CE. Do glycemic marker levels vary by race? Differing results from a cross-sectional analysis of individuals with and without diagnosed diabetes. BMJ Open Diabetes Res Care 2016; 4:e000213. [PMID: 27335652 PMCID: PMC4908883 DOI: 10.1136/bmjdrc-2016-000213] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/12/2016] [Revised: 04/05/2016] [Accepted: 05/09/2016] [Indexed: 01/14/2023] Open
Abstract
OBJECTIVE It is well known that A1c varies by race. However, racial differences in other biomarkers of hyperglycemia are less well characterized. The objective of this study was to determine whether average levels of glycemic markers differ by race in adults with and without diagnosed diabetes, before and after accounting for postchallenge glucose. RESEARCH DESIGN AND METHODS This cross-sectional study included 2692 middle-aged men and women (5.5% with diagnosed diabetes; 44% African-American; and 56% white) from the Coronary Artery Risk Development in Young Adults Study (2005-2006) who had fasting glucose, 2-hour postchallenge glucose, A1c, glycated albumin, fructosamine, and 1,5-anhydroglucitol (1,5-AG) measured. Multiple linear regression was used to evaluate racial differences in mean levels of each glycemic marker stratified by the diabetes status and adjusted for sociodemographics, cardiovascular factors, and postchallenge glucose. RESULTS Among those with diagnosed diabetes, racial differences were not observed for any of the glycemic markers. In contrast, among those without diagnosed diabetes, African-Americans had higher mean levels than whites of A1c (β=0.19% points; 95% CI 0.14 to 0.24), glycated albumin (β=0.82% points; 95% CI 0.68 to 0.97), fructosamine (β=8.68 μmol/L; 95% CI 6.68 to 10.68), and 2-hour glucose (β=3.50 mg/dL; 95% CI 0.10 to 6.90) after multivariable adjustment, whereas there were no statistically significant racial difference in 1,5-AG. The racial differences observed for A1c, glycated albumin, and fructosamine persisted after further adjustment for fasting and 2-hour glucose and were of similar magnitude (SD units). CONCLUSIONS Racial differences in glycemic marker levels were evident among middle-aged adults without diagnosed diabetes even after adjustment for postchallenge glucose. Whether these racial differences in biomarkers of hyperglycemia affect the risk of complications warrants additional study.
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Affiliation(s)
- April P Carson
- Department of Epidemiology, University of Alabama at Birmingham School of Public Health, Birmingham, Alabama, USA
| | - Paul Muntner
- Department of Epidemiology, University of Alabama at Birmingham School of Public Health, Birmingham, Alabama, USA
| | - Elizabeth Selvin
- Department of Epidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Mercedes R Carnethon
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Xuelin Li
- Division of Preventive Medicine, University of Alabama at Birmingham School of Medicine, Birmingham, Alabama, USA
| | - Myron D Gross
- Department of Laboratory Medicine and Pathology, University of Minnesota Medical School, Minneapolis, Minnesota, USA
| | - W Timothy Garvey
- Department of Nutrition Sciences, University of Alabama at Birmingham School of Health Professions, Birmingham, Alabama, USA
- Birmingham VA Medical Center, Birmingham, Alabama, USA
| | - Cora E Lewis
- Division of Preventive Medicine, University of Alabama at Birmingham School of Medicine, Birmingham, Alabama, USA
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