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Rasouli N, Younes N, Ghosh A, Albu J, Cohen RM, DeFronzo RA, Diaz E, Sayyed Kassem L, Luchsinger JA, McGill JB, Sivitz WI, Tamborlane WV, Utzschneider KM, Kahn SE. Longitudinal Effects of Glucose-Lowering Medications on β-Cell Responses and Insulin Sensitivity in Type 2 Diabetes: The GRADE Randomized Clinical Trial. Diabetes Care 2024; 47:580-588. [PMID: 38211595 PMCID: PMC10973918 DOI: 10.2337/dc23-1070] [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: 06/09/2023] [Accepted: 09/28/2023] [Indexed: 01/13/2024]
Abstract
OBJECTIVE To compare the long-term effects of glucose-lowering medications (insulin glargine U-100, glimepiride, liraglutide, and sitagliptin) when added to metformin on insulin sensitivity and β-cell function. RESEARCH DESIGN AND METHODS In the Glycemia Reduction Approaches in Diabetes: A Comparative Effectiveness Study (GRADE) cohort with type 2 diabetes (n = 4,801), HOMA2 was used to estimate insulin sensitivity (HOMA2-%S) and fasting β-cell function (HOMA2-%B) at baseline and 1, 3, and 5 years on treatment. Oral glucose tolerance test β-cell responses (C-peptide index [CPI] and total C-peptide response [incremental C-peptide/incremental glucose over 120 min]) were evaluated at the same time points. These responses adjusted for HOMA2-%S in regression analysis provided estimates of β-cell function. RESULTS HOMA2-%S increased from baseline to year 1 with glargine and remained stable thereafter, while it did not change from baseline in the other treatment groups. HOMA2-%B and C-peptide responses were increased to variable degrees at year 1 in all groups but then declined progressively over time. At year 5, CPI was similar between liraglutide and sitagliptin, and higher for both than for glargine and glimepiride [0.80, 0.87, 0.74, and 0.64 (nmol/L)/(mg/dL) * 100, respectively; P < 0.001], while the total C-peptide response was greatest with liraglutide, followed in descending order by sitagliptin, glargine, and glimepiride [1.54, 1.25, 1.02, and 0.87 (nmol/L)/(mg/dL) * 100, respectively, P < 0.001]. After adjustment for HOMA2-%S to obtain an estimate of β-cell function, the nature of the change in β-cell responses reflected those in β-cell function. CONCLUSIONS The differential long-term effects on insulin sensitivity and β-cell function of four different glucose-lowering medications when added to metformin highlight the importance of the loss of β-cell function in the progression of type 2 diabetes.
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Affiliation(s)
- Neda Rasouli
- Division of Endocrinology, Metabolism and Diabetes, Department of Medicine, University of Colorado School of Medicine, and VA Eastern Colorado Health Care System, Aurora, CO
| | - Naji Younes
- The Biostatistics Center, Department of Biostatistics and Bioinformatics, Milken Institute School of Public Health, The George Washington University, Rockville, MD
| | - Alokananda Ghosh
- The Biostatistics Center, Department of Biostatistics and Bioinformatics, Milken Institute School of Public Health, The George Washington University, Rockville, MD
| | - Jeanine Albu
- Icahn School of Medicine, Mount Sinai Morningside, New York, NY
| | - Robert M. Cohen
- Division of Endocrinology, Diabetes and Metabolism, University of Cincinnati College of Medicine and Cincinnati VA Medical Center, Cincinnati, OH
| | | | - Elsa Diaz
- VA San Diego Healthcare System, San Diego, CA
| | - Laure Sayyed Kassem
- Department of Endocrinology, Louis Stokes Cleveland Department of Veterans Affairs Medical Center, Cleveland, OH
| | - José A. Luchsinger
- Departments of Medicine and Epidemiology, Columbia University Irving Medical Center, New York, NY
| | - Janet B. McGill
- Division of Endocrinology, Metabolism and Lipid Research, Washington University School of Medicine, St. Louis, MO
| | | | | | - Kristina M. Utzschneider
- Division of Metabolism, Endocrinology and Nutrition, Department of Medicine, VA Puget Sound Health Care System and University of Washington, Seattle
| | - Steven E. Kahn
- Division of Metabolism, Endocrinology and Nutrition, Department of Medicine, VA Puget Sound Health Care System and University of Washington, Seattle
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Cao C, Koh HCE, Reeds DN, Patterson BW, Klein S, Mittendorfer B. Critical Evaluation of Indices Used to Assess β-Cell Function. Diabetes 2024; 73:391-400. [PMID: 38015795 PMCID: PMC10882145 DOI: 10.2337/db23-0613] [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: 08/02/2023] [Accepted: 11/18/2023] [Indexed: 11/30/2023]
Abstract
The assessment of β-cell function, defined as the relationship between insulin secretion rate (ISR) and plasma glucose, is not standardized and often involves any of a number of β-cell function indices. We compared β-cell function by using popular indices obtained during basal conditions and after glucose ingestion, including the HOMA-B index, the basal ISR (or plasma insulin)-to-plasma glucose concentration ratio, the insulinogenic and ISRogenic indices, the ISR (or plasma insulin)-to-plasma glucose concentration areas (or incremental areas) under the curve ratio, and the disposition index, which integrates a specific β-cell function index value with an estimate of insulin sensitivity, between lean people with normal fasting glucose (NFG) and normal glucose tolerance (NGT) (n = 50) and four groups of people with obesity (n = 188) with 1) NFG-NGT, 2) NFG and impaired glucose tolerance (IGT), 3) impaired fasting glucose (IFG) and IGT, and 4) type 2 diabetes. We also plotted the ISR-plasma glucose relationship before and after glucose ingestion and used a statistical mixed-effects model to evaluate group differences in this relationship (i.e., β-cell function). Index-based group differences in β-cell function produced contradicting results and did not reflect the group differences of the actual observed ISR-glucose relationship or, in the case of the disposition index, group differences in glycemic status. The discrepancy in results is likely due to incorrect mathematical assumptions that are involved in computing indices, which can be overcome by evaluating the relationship between ISR and plasma glucose with an appropriate statistical model. Data obtained with common β-cell function indices should be interpreted cautiously. ARTICLE HIGHLIGHTS
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Affiliation(s)
- Chao Cao
- Center for Human Nutrition, Washington University School of Medicine, St. Louis, MO
| | - Han-Chow E. Koh
- Center for Human Nutrition, Washington University School of Medicine, St. Louis, MO
| | - Dominic N. Reeds
- Center for Human Nutrition, Washington University School of Medicine, St. Louis, MO
| | - Bruce W. Patterson
- Center for Human Nutrition, Washington University School of Medicine, St. Louis, MO
| | - Samuel Klein
- Center for Human Nutrition, Washington University School of Medicine, St. Louis, MO
- Sansum Diabetes Research Institute, Santa Barbara, CA
| | - Bettina Mittendorfer
- Center for Human Nutrition, Washington University School of Medicine, St. Louis, MO
- Departments of Medicine and Nutrition and Exercise Physiology, University of Missouri, Columbia, MO
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LeBlanc ES, Pittas AG, Nelson J, Chatterjee R, Rasouli N, Rhee MK, Pratley RE, Desouza CV, Neff LM, Peters AM, Dagogo-Jack S, Hsia DS. Racial differences in measures of glycemia in the Vitamin D and Type 2 Diabetes (D2d) Study: a secondary analysis of a randomized trial. BMJ Open Diabetes Res Care 2024; 12:e003613. [PMID: 38350671 PMCID: PMC10862329 DOI: 10.1136/bmjdrc-2023-003613] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/14/2023] [Accepted: 01/12/2024] [Indexed: 02/15/2024] Open
Abstract
INTRODUCTION Understanding how race may influence the association between A1c and glycemia can improve diabetes screening. We sought to determine whether, for a given A1c level, glucose levels during an oral glucose tolerance test (OGTT) differed by race. RESEARCH DESIGN AND METHODS From data collected at 22 US clinical sites, we conducted a cross-sectional study of concurrently measured A1c and OGTT and observational longitudinal follow-up of the subset with high-risk pre-diabetes. Numerical integration methods were used to calculate area under the glycemic curve (AUCglu) during OGTT and least squares regression model to estimate A1c for a given AUCglu by race, controlling for potential confounders. RESULTS 1016 black, 2658 white, and 193 Asian persons at risk of diabetes were included in cross-sectional analysis. Of these, 2154 with high-risk pre-diabetes were followed for 2.5 years. For a given A1c level, AUCglu was lower in black versus white participants. After adjustment for potential confounders, A1c levels for a given AUCglu quintile were 0.15-0.20 and 0.02-0.19 percentage points higher in black and Asian compared with white participants, respectively (p<0.05). In longitudinal analyses, black participants were more likely to be diagnosed with diabetes by A1c than white participants (28% vs 10%, respectively; p<0.01). Black and Asian participants were less likely to be diagnosed by fasting glucose than white participants (16% vs 15% vs 37%, respectively; p<0.05). Black participants with A1c levels in the lower-level quintiles had greater increase in A1c over time compared with white participants. CONCLUSIONS Use of additional testing beyond A1c to screen for diabetes may better stratify diabetes risk in the diverse US population.
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Affiliation(s)
- Erin S LeBlanc
- Kaiser Permanente Center for Health Research, Portland, Oregon, USA
| | - Anastassios G Pittas
- Division of Endocrinology, Diabetes and Metabolism, Tufts Medical Center, Boston, Massachusetts, USA
| | - Jason Nelson
- Tufts Medical Center, Boston, Massachusetts, USA
| | | | - Neda Rasouli
- Endocrinology, Metabolism and Diabetes, University of Colorado Denver School of Medicine, Aurora, Colorado, USA
- Endocrinology, VA Eastern Colorado Health Care System, Denver, Colorado, USA
| | - Mary K Rhee
- Medicine/Endocrinology, Metabolism, and Lipids, Emory University School of Medicine, Atlanta, Georgia, USA
| | - Richard E Pratley
- Translational Research Institute, AdventHealth Research Institute, Orlando, Florida, USA
| | | | - Lisa M Neff
- Northwestern Medicine, Chicago, Illinois, USA
| | - Anne M Peters
- Endocrinology, USC, Manhattan Beach, California, USA
| | - Samuel Dagogo-Jack
- Division of Endocrinology, Diabetes & Metabolism General Clinical Research Center, University of Tennessee Health Science Center, Memphis, Tennessee, USA
| | - Daniel S Hsia
- Pennington Biomedical Research Center, Baton Rouge, Louisiana, USA
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Shen M, Jiang L, Liu H, Dai H, Jiang H, Qian Y, Wang Z, Zheng S, Chen H, Yang T, Fu Q, Xu K. Interaction between the GCKR rs1260326 variant and serum HDL cholesterol contributes to HOMA-β and ISI Matusda in the middle-aged T2D individuals. J Hum Genet 2023; 68:835-842. [PMID: 37648893 DOI: 10.1038/s10038-023-01191-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2023] [Revised: 07/13/2023] [Accepted: 08/22/2023] [Indexed: 09/01/2023]
Abstract
This study aims to investigate the correlations between islet function/ insulin resistance and serum lipid levels, as well as to assess whether the strength of such correlations is affected by the GCKR rs1260326 variant in healthy and T2D individuals. We performed an oral glucose tolerance test (OGTT) on 4889 middle-aged adults, including 3135 healthy and 1754 T2D individuals from the REACTION population study in the Nanjing region. We also measured their serum lipid levels and genotyped for rs1260326. We found that serum high-density lipoprotein (HDL) cholesterol and triglyceride (TG) levels were independently correlated with indexes of islet function (HOMA-β and IGI [insulinogenic index]) and insulin resistance (HOMO-IR and ISIMatsuda) in both healthy and T2D individuals. The correlations were significantly decreased in T2D individuals, with significant heterogeneities compared to healthy controls (I2 > 75%, Phet < 0.05). Although no correlation was observed between serum total cholesterol (TC) level and islet function/ insulin resistance in healthy controls, significant correlations were found in T2D individuals, with significant heterogeneity to healthy controls in the correlation with ISIMatsuda(I2 = 85.3%, Phet = 0.009). Furthermore, we found significant interactions of the GCKR rs1260326 variant for the correlations between serum HDL cholesterol and HOMA-β/ISIMatsuda in T2D subjects (P = 0.015 and 0.038, respectively). These findings illustrate that distinct correlations between serum lipid levels and islet function/ insulin resistance occurred in T2D subjects compared to healthy individuals. Common gene variants, such as rs1260326, might interact substantially when studied in specific populations, especially T2D disease status.
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Affiliation(s)
- Min Shen
- Department of Endocrinology and Metabolism, the First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, China
| | - Liying Jiang
- Department of Endocrinology and Metabolism, the First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, China
| | - Hechun Liu
- Department of Endocrinology and Metabolism, the First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, China
| | - Hao Dai
- Department of Endocrinology and Metabolism, the First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, China
| | - Hemin Jiang
- Department of Endocrinology and Metabolism, the First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, China
| | - Yu Qian
- Department of Endocrinology and Metabolism, the First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, China
| | - Zhixiao Wang
- Department of Endocrinology and Metabolism, the First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, China
| | - Shuai Zheng
- Department of Endocrinology and Metabolism, the First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, China
| | - Heng Chen
- Department of Endocrinology and Metabolism, the First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, China
| | - Tao Yang
- Department of Endocrinology and Metabolism, the First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, China
| | - Qi Fu
- Department of Endocrinology and Metabolism, the First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, China.
| | - Kuanfeng Xu
- Department of Endocrinology and Metabolism, the First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, China.
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Beattie S. Hypoglycemia: Turning the tide on crashing blood glucose. Nurse Pract 2023; 48:17-23. [PMID: 37751610 DOI: 10.1097/01.npr.0000000000000100] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/28/2023]
Abstract
ABSTRACT Primary care NPs are central to the management of diabetes mellitus, which carries with it the risk of hypoglycemia. Fully understanding risk factors, prevention strategies, and treatment assist in reducing hypoglycemic events. This article details hypoglycemia, risk factors for hypoglycemia, prevention strategies, and appropriate treatment plans.
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Affiliation(s)
- Sarah Beattie
- Sarah Beattie is a DNP-prepared NP at Avita Health System in Galion, Ohio
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Kashyap SR, Desouza C, Aroda VR, Kim SH, Neff LM, Wu SS, Raskin P, Pratley R. Glycemic and metabolic sub-classification of prediabetes and risk factors for cardiovascular disease in the D2d cohort. Am J Prev Cardiol 2023; 15:100525. [PMID: 37650052 PMCID: PMC10462804 DOI: 10.1016/j.ajpc.2023.100525] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2022] [Revised: 07/05/2023] [Accepted: 07/13/2023] [Indexed: 09/01/2023] Open
Abstract
Objectives Prediabetes represents a spectrum of metabolic abnormalities, including insulin resistance and secretory impairment, that carries increased cardiovascular disease (CVD) risk. It is unclear whether specific glycemic and metabolic sub-classifications are associated with CVD risk. This cross-sectional analysis of 3946 participants from the Vitamin D and Type 2 Diabetes (D2d) study cohort aimed to determine the associations between various baseline CVD risk factors, glycemic sub-classifications of prediabetes (FPG, 2hPG, and HbA1c), and measures of insulin sensitivity and secretion from an OGTT. Methods The metabolic syndrome and atherosclerotic cardiovascular disease (ASCVD) risk scores were determined for tertiles of insulin sensitivity (HOMA2S) and insulinogenic index (IGI). Unadjusted analyses showed elevated CVD risk factors in the lowest tertile for both IGI and HOMA2S. Results After adjustment for age, gender, race, obesity, and smoking status, the association remained between HOMA2S and ASCVD score (r = -0.11, p< 0.001) but not for IGI. Those who met at least 2 diagnosic criteria for prediabetes had the largest proportion (> 40%) of participants with high ASCVD risk score >20. A higher percentage of individuals that met all 3 criteria for prediabetes had metabolic syndrome and ASCVD risk score >20 (87.2% and 15.3%, respectively) than those who only met 1 prediabetes criterion (51.6% and 7.1%, respectively). Conclusions In conclusion, multiple metabolic (HOMA2S, IGI) and glycemic criteria of prediabetes (FPG, 2hPG, & HbA1c) are needed to fully recognize the elevated CVD risk profile that can manifest in prediabetes.
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Affiliation(s)
| | - Cyrus Desouza
- Omaha VA Medical Center, University of Nebraska Medical Center, Omaha, NE, USA
| | - Vanita R. Aroda
- Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Sun H. Kim
- Stanford University School of Medicine, Stanford, CA, USA
| | | | - Shannon S. Wu
- Cleveland Clinic Lerner College of Medicine, Cleveland, OH, USA
| | - Philip Raskin
- University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Richard Pratley
- AdventHealth Translational Research Institute, Orlando, FL, USA
| | - D2d Research Group
- Cleveland Clinic, Cleveland, OH, USA
- Omaha VA Medical Center, University of Nebraska Medical Center, Omaha, NE, USA
- Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- Stanford University School of Medicine, Stanford, CA, USA
- Chicago, IL, USA
- Cleveland Clinic Lerner College of Medicine, Cleveland, OH, USA
- University of Texas Southwestern Medical Center, Dallas, TX, USA
- AdventHealth Translational Research Institute, Orlando, FL, USA
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Luchsinger JA, Kazemi EJ, Sanchez DL, Larkin ME, Valencia WM, Desouza C, Carlson AL, Pop-Busui R, Seaquist ER, Florez HJ, Barzilay J. BMI, insulin sensitivity, and cognition in early type 2 diabetes: The Glycemia Reduction Approaches in Diabetes: A Comparative Effectiveness Study. Obesity (Silver Spring) 2023; 31:1812-1824. [PMID: 37368512 PMCID: PMC11103776 DOI: 10.1002/oby.23785] [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: 08/10/2022] [Revised: 01/31/2023] [Accepted: 02/24/2023] [Indexed: 06/29/2023]
Abstract
OBJECTIVE This study explored the association of BMI and insulin sensitivity with cognitive performance in type 2 diabetes. METHODS A cross-sectional analysis of data from the baseline assessment of the Glycemia Reduction Approaches in Diabetes: a Comparative Effectiveness Study (GRADE) was conducted. BMI was used as a surrogate of adiposity and the Matsuda index as the measure of insulin sensitivity. Cognitive tests included the Spanish English Verbal Learning Test, the Digit Symbol Substitution Test, and the letter and animal fluency tests. RESULTS Cognitive assessments were completed by 5018 (99.4%) of 5047 participants aged 56.7 ± 10.0 years, of whom 36.4% were female. Higher BMI and lower insulin sensitivity were related to better performance on memory and verbal fluency tests. In models including BMI and insulin sensitivity simultaneously, only higher BMI was related to better cognitive performance. CONCLUSIONS In this study, higher BMI and lower insulin sensitivity in type 2 diabetes were cross-sectionally associated with better cognitive performance. However, only higher BMI was related to cognitive performance when both BMI and insulin sensitivity were considered simultaneously. The causality and mechanisms for this association need to be determined in future studies.
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Affiliation(s)
- José A. Luchsinger
- Departments of Medicine and Epidemiology, Columbia University Irving Medical Center, New York, New York, USA
| | - Erin J. Kazemi
- The Biostatistics Center, Department of Biostatistics and Bioinformatics, Milken Institute of Public Health, The George Washington University, Rockville, Maryland, USA
| | - Danurys L. Sanchez
- Department of Neurology, Gertrude H. Hergievsky Center, Columbia University Irving Medical Center, New York, New York, USA
| | - Mary E. Larkin
- Massachusetts General Hospital Diabetes Center, Harvard Medical School, Boston, Massachusetts, USA
| | - Willy Marcos Valencia
- Department of Medicine, University of Miami, Miami, Florida, USA
- Geriatric Research Education and Clinical Center, Miami VA Healthcare System, Miami, Florida, USA
- Department of Humanities, Health and Society, Florida International University, Miami, Florida, USA
| | - Cyrus Desouza
- Omaha VA Medical Center and University of Nebraska Medical Center, Omaha, Nebraska, USA
| | | | - Rodica Pop-Busui
- Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan, USA
| | | | - Hermes J. Florez
- Department of Medicine, University of Miami, Miami, Florida, USA
- Geriatric Research Education and Clinical Center, Miami VA Healthcare System, Miami, Florida, USA
- Medical College of South Carolina, Charleston, South Carolina, USA
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Accili D, Du W, Kitamoto T, Kuo T, McKimpson W, Miyachi Y, Mukhanova M, Son J, Wang L, Watanabe H. Reflections on the state of diabetes research and prospects for treatment. Diabetol Int 2023; 14:21-31. [PMID: 36636157 PMCID: PMC9829952 DOI: 10.1007/s13340-022-00600-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/27/2022] [Accepted: 08/02/2022] [Indexed: 01/16/2023]
Abstract
Research on the etiology and treatment of diabetes has made substantial progress. As a result, several new classes of anti-diabetic drugs have been introduced in clinical practice. Nonetheless, the number of patients achieving glycemic control targets has not increased for the past 20 years. Two areas of unmet medical need are the restoration of insulin sensitivity and the reversal of pancreatic beta cell failure. In this review, we integrate research advances in transcriptional regulation of insulin action and pathophysiology of beta cell dedifferentiation with their potential impact on prospects of a durable "cure" for patients suffering from type 2 diabetes.
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Affiliation(s)
- Domenico Accili
- Department of Medicine and Berrie Diabetes Center, Vagelos College of Physicians and Surgeons of Columbia University, New York, NY 10032 USA
| | - Wen Du
- Department of Medicine and Berrie Diabetes Center, Vagelos College of Physicians and Surgeons of Columbia University, New York, NY 10032 USA
| | - Takumi Kitamoto
- Department of Endocrinology, Hematology and Gerontology, Chiba University Graduate School of Medicine, Chiba, Chiba 260-8670 Japan
| | - Taiyi Kuo
- Department of Neurobiology, Physiology, and Behavior, University of California at Davis, Davis, CA 95616 USA
| | - Wendy McKimpson
- Department of Medicine and Berrie Diabetes Center, Vagelos College of Physicians and Surgeons of Columbia University, New York, NY 10032 USA
| | - Yasutaka Miyachi
- Department of Medicine and Bioregulatory Science, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Fukuoka Japan
| | - Maria Mukhanova
- Department of Medicine and Berrie Diabetes Center, Vagelos College of Physicians and Surgeons of Columbia University, New York, NY 10032 USA
| | - Jinsook Son
- Department of Medicine and Berrie Diabetes Center, Vagelos College of Physicians and Surgeons of Columbia University, New York, NY 10032 USA
| | - Liheng Wang
- Department of Medicine and Berrie Diabetes Center, Vagelos College of Physicians and Surgeons of Columbia University, New York, NY 10032 USA
| | - Hitoshi Watanabe
- Department of Medicine and Berrie Diabetes Center, Vagelos College of Physicians and Surgeons of Columbia University, New York, NY 10032 USA
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Le Y, Yang K, Yang J, Fu W, Xiao W, Wei R, Hong T. Association of Time in Range with Endothelial Injury in Patients with Type 2 Diabetes Treated with Exenatide. Diabetes Ther 2022; 13:1755-1767. [PMID: 35963931 PMCID: PMC9500125 DOI: 10.1007/s13300-022-01310-3] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/01/2022] [Accepted: 07/29/2022] [Indexed: 01/12/2023] Open
Abstract
INTRODUCTION We aimed to investigate whether treatment with exenatide could increase time in range (TIR) and decrease glycemic variability, and to evaluate the association between TIR and endothelial injury in patients with type 2 diabetes mellitus (T2DM). METHODS Two-hundred patients with T2DM treated with exenatide for 16 weeks were included in this study. Seven-point fingerstick blood glucose was used to evaluate derived TIR and glycemic variability. The serum levels of soluble endothelial cell protein C receptor (sEPCR) and von Willebrand factor (vWF) were measured. Ninety-three patients having the data of endothelial injury markers were categorized as derived TIR > 70% or ≤ 70% after the treatment and the association between TIR and endothelial injury were evaluated. RESULTS Treatment with exenatide for 16 weeks resulted in a significant reduction in fasting blood glucose, postprandial 2 h blood glucose, and glycated hemoglobin A1c (HbA1c) levels in patients with T2DM. Compared with baseline, derived TIR value was significantly increased [85.7 (57.1, 100.0) % vs. 42.9 (14.9, 71.4) %, P < 0.001], and the parameters of glycemic variability were remarkably decreased after the treatment. After the treatment, serum sEPCR level was significantly decreased from baseline in patients with TIR > 70% [74.5 (32.8, 122.5) ng/mL vs. 96.9 (48.5, 150.9) ng/mL, P = 0.006] but not in those with TIR ≤ 70%; serum vWF level was remarkably decreased in patients with TIR > 70% [from 1166.2 (848.1, 1335.5) mIU/mL to 907.4 (674.3, 1335.1) mIU/mL, P = 0.001] while this effect was modest in those with TIR ≤ 70%. CONCLUSIONS Treatment with exenatide increases TIR and decreases glycemic variability in patients with T2DM. Moreover, the amelioration of endothelial injury is more pronounced in patients with TIR > 70% after the treatment. TRIAL REGISTRATION ChiCTR-IPR-15006558 (registered, 27 May 2015).
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Affiliation(s)
- Yunyi Le
- Department of Endocrinology and Metabolism, Peking University Third Hospital, 49 North Garden Road, Haidian District, Beijing, 100191, China
| | - Kun Yang
- Department of Endocrinology and Metabolism, Peking University Third Hospital, 49 North Garden Road, Haidian District, Beijing, 100191, China
| | - Jin Yang
- Department of Endocrinology and Metabolism, Peking University Third Hospital, 49 North Garden Road, Haidian District, Beijing, 100191, China
| | - Wei Fu
- Department of Endocrinology and Metabolism, Peking University Third Hospital, 49 North Garden Road, Haidian District, Beijing, 100191, China
| | - Wenhua Xiao
- Department of Endocrinology and Metabolism, Peking University Third Hospital, 49 North Garden Road, Haidian District, Beijing, 100191, China
| | - Rui Wei
- Department of Endocrinology and Metabolism, Peking University Third Hospital, 49 North Garden Road, Haidian District, Beijing, 100191, China.
| | - Tianpei Hong
- Department of Endocrinology and Metabolism, Peking University Third Hospital, 49 North Garden Road, Haidian District, Beijing, 100191, China.
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Distance to Health Care Facilities, Lifestyle Risk Factors, and Stage at Diagnosis in relation to Geographic Pattern of Esophageal Cancer in Tanzania, 2006–2016. J Cancer Epidemiol 2022; 2022:7873588. [PMID: 36046119 PMCID: PMC9423990 DOI: 10.1155/2022/7873588] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2022] [Revised: 07/15/2022] [Accepted: 08/05/2022] [Indexed: 11/24/2022] Open
Abstract
Esophageal cancer is an aggressive, often deadly disease globally that represents a significant health problem in Tanzania. The WHO reported 604,100 new esophageal cancer cases worldwide during 2020 and 544,076 deaths (Sung, 2021; World Health Organization, 2020). In Eastern Africa, 16,137 cases and 15,188 deaths were related to this disease in 2020. Esophageal cancer is associated with various etiologic risk factors, and access to the disease treatment is a major barrier to survival. This study examined associations between the prevalence of four geographically stratified, population-level, etiologic risk factors (tobacco use, unprotected water use, solid fuel source use, and poverty), as well as two access-to-care predictors (persons per hospital and distance from residence to where esophageal cancer treatment occurs). Regional- and coarser-scale zonal incidence rates were calculated for 2006 through 2016 and evaluated for geographic differences in relation to risk factors and access to care predictors using Poisson regression. Differences in the geographic distribution of esophageal cancer were observed. Distance from the region of residence to the treatment center (Ocean Road Cancer Institute) was statistically associated with the geographic pattern of esophageal cancer incidence. Further research into etiologic risk factors, dietary practices, and nutrition is needed to better understand the associations with esophageal cancer in Tanzania and other parts of Eastern Africa.
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Associations of the Cardiometabolic Index with the Risk of Cardiovascular Disease in Patients with Hypertension and Obstructive Sleep Apnea: Results of a Longitudinal Cohort Study. OXIDATIVE MEDICINE AND CELLULAR LONGEVITY 2022; 2022:4914791. [PMID: 35783191 PMCID: PMC9246614 DOI: 10.1155/2022/4914791] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/15/2022] [Revised: 04/08/2022] [Accepted: 05/25/2022] [Indexed: 11/22/2022]
Abstract
Purpose We aimed to explore the relationship between the cardiometabolic index (CMI) and cardiovascular disease (CVD) and its subtypes (coronary artery disease and stroke) in patients with hypertension and obstructive sleep apnea (OSA). Methods We conducted a retrospective cohort study enrolling 2067 participants from the Urumqi Research on Sleep Apnea and Hypertension study. The CMI was calculated as triglyceride to high‐density lipoprotein cholesterol ratio × waist‐to‐height ratio. Participants were divided into three groups (T1, T2, and T3) according to the tertile of CMI. The Kaplan-Meier method helped to calculate the cumulative incidence of CVD in different groups. We assessed the association of CMI with the risk of CVD and CVD subtypes by estimating hazard ratios (HRs) and 95% confidence intervals (CIs) using Cox models. Results During a median follow-up of 6.83 years (interquartile range: 5.92-8.00 years), 326 incident CVD were identified, including 121 incident stroke and 205 incident coronary heart disease (CHD). Overall, after adjusting for confounding variables, CMI was positively associated with the risk of new-onset CVD (per SD increment, adjusted HR: 1.31; 95% CI: 1.20, 1.43), new-onset CHD (per SD increment, adjusted HR: 1.33; 95% CI: 1.20, 1.48), and new-onset stroke (per SD increment, adjusted HR: 1.27; 95% CI: 1.10, 1.47). Similar results were obtained in various subgroup and sensitivity analyses. Adding CMI to the baseline risk model for CVD improved the C-index (P < 0.001), continuous net reclassification improvement (P < 0.001), and integrated discrimination index (P < 0.001). Similar results were observed for CHD and stroke. Conclusion There was a positive association between CMI levels and the risk of new-onset CVD in patients with hypertension and OSA. This finding suggests that CMI may help identify people at high risk of developing CVD.
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Ladwa M, Bello O, Hakim O, Boselli ML, Shojaee-Moradie F, Umpleby AM, Peacock J, Amiel SA, Bonadonna RC, Goff LM. Exploring the determinants of ethnic differences in insulin clearance between men of Black African and White European ethnicity. Acta Diabetol 2022; 59:329-337. [PMID: 34661756 PMCID: PMC8863750 DOI: 10.1007/s00592-021-01809-4] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/27/2021] [Accepted: 10/03/2021] [Indexed: 11/27/2022]
Abstract
AIM People of Black African ancestry, who are known to be at disproportionately high risk of type 2 diabetes (T2D), typically exhibit lower hepatic insulin clearance compared with White Europeans. However, the mechanisms underlying this metabolic characteristic are poorly understood. We explored whether low insulin clearance in Black African (BA) men could be explained by insulin resistance, subclinical inflammation or adiponectin concentrations. METHODS BA and White European (WE) men, categorised as either normal glucose tolerant (NGT) or with T2D, were recruited to undergo the following: a mixed meal tolerance test with C-peptide modelling to determine endogenous insulin clearance; fasting serum adiponectin and cytokine profiles; a hyperinsulinaemic-euglycaemic clamp to measure whole-body insulin sensitivity; and magnetic resonance imaging to quantify visceral adipose tissue. RESULTS Forty BA (20 NGT and 20 T2D) and 41 WE (23 NGT and 18 T2D) men were studied. BA men had significantly lower insulin clearance (P = 0.011) and lower plasma adiponectin (P = 0.031) compared with WE men. In multiple regression analysis, ethnicity, insulin sensitivity and plasma adiponectin were independent predictors of insulin clearance, while age, visceral adiposity and tumour necrosis factor alpha (TNF-α) did not significantly contribute to the variation. CONCLUSION These data suggest that adiponectin may play a direct role in the upregulation of insulin clearance beyond its insulin-sensitising properties.
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Affiliation(s)
- Meera Ladwa
- Diabetes Research Group, Department of Nutritional Sciences, Faculty of Life Sciences and Medicine, School of Life Course Sciences, King's College London, Franklin-Wilkins Building, Room 3.87, Waterloo Campus, London, SE1 9NH, UK
| | - Oluwatoyosi Bello
- Diabetes Research Group, Department of Nutritional Sciences, Faculty of Life Sciences and Medicine, School of Life Course Sciences, King's College London, Franklin-Wilkins Building, Room 3.87, Waterloo Campus, London, SE1 9NH, UK
| | - Olah Hakim
- Diabetes Research Group, Department of Nutritional Sciences, Faculty of Life Sciences and Medicine, School of Life Course Sciences, King's College London, Franklin-Wilkins Building, Room 3.87, Waterloo Campus, London, SE1 9NH, UK
| | - Maria Linda Boselli
- Division of Endocrinology and Metabolic Disease, University of Verona School of Medicine, Verona, Italy
| | | | - A Margot Umpleby
- Faculty of Health and Medical Sciences, University of Surrey, Guildford, UK
| | - Janet Peacock
- Department of Epidemiology, Geisel School of Medicine, Dartmouth College, Hanover, NH, USA
| | - Stephanie A Amiel
- Diabetes Research Group, Department of Nutritional Sciences, Faculty of Life Sciences and Medicine, School of Life Course Sciences, King's College London, Franklin-Wilkins Building, Room 3.87, Waterloo Campus, London, SE1 9NH, UK
| | - Riccardo C Bonadonna
- Department of Medicine and Surgery, University of Parma and Azienda Ospedaliera Universitaria di Parma, Parma, Italy
| | - Louise M Goff
- Diabetes Research Group, Department of Nutritional Sciences, Faculty of Life Sciences and Medicine, School of Life Course Sciences, King's College London, Franklin-Wilkins Building, Room 3.87, Waterloo Campus, London, SE1 9NH, UK.
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Florez HJ, Ghosh A, Pop-Busui R, Hox SH, Underkofler C, McKee MD, Park J, Rhee MK, Killean T, Krause-Steinrauf H, Aroda VR, Wexler DJ. Differences in complications, cardiovascular risk factor, and diabetes management among participants enrolled at veterans affairs (VA) and non-VA medical centers in the glycemia reduction approaches in diabetes: A comparative effectiveness study (GRADE). Diabetes Res Clin Pract 2022; 184:109188. [PMID: 34971663 PMCID: PMC8917078 DOI: 10.1016/j.diabres.2021.109188] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/29/2021] [Revised: 12/14/2021] [Accepted: 12/23/2021] [Indexed: 02/03/2023]
Abstract
AIMS We evaluated differences in participants with type 2 diabetes (T2DM) enrolled in the GRADE study at VA vs non-VA sites, focusing on cardiovascular risk factors and rates of diabetes care target achievements. METHODS We compared baseline characteristics between participants at VA (n = 1216) and non-VA (n = 3831) sites, stratifying analyses by cardiovascular disease (CVD) history. RESULTS VA and non-VA participants had similar diabetes duration (4.0 years), HbA1c (7.5%), and BMI (34 kg/m2); however, VA participants had more individuals ≥ 65 years (37.3% vs 19.8%, p < 0.001), men (90.0% vs 55.2%, p < 0.001), hypertension (75.8% vs 63.6%, p < 0.001), hyperlipidemia (76.6% vs 64.6%, p < 0.001), current smokers (19.0% vs 12.1%, p < 0.001), nephropathy (20.4% vs 17.0%, p < 0.05), albuminuria (18.4% vs 15.1%, p < 0.05), and CVD (10.4% vs 5.2%, p < 0.001). In those without CVD, more VA participants were treated with lipid (70.8% vs 59.5%, p < 0.001) and blood pressure (74.9% vs 65.4%, p < 0.001) lowering medications, and had LDL-C < 70 mg/dl (32.9% vs 24.2%, p < 0.05). Among those with CVD, more VA participants had BP < 140/90 (80.2% vs 70.1%, p < 0.05) after adjusting for demographics. CONCLUSION GRADE participants at VA sites had more T2DM complications, greater CVD risk and were more likely to be treated with medications to reduce it, leading to more LDL-C at goal than non-VA participants, highlighting differences in diabetes populations and care.
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Affiliation(s)
- Hermes J Florez
- Medical University of South Carolina and Department of Veterans Affairs, Charleston, SC, United States
| | - Alokananda Ghosh
- The Biostatistics Center, Department of Biostatistics and Bioinformatics, Milken Institute School of Public Health, The George Washington University, Rockville, MD, United States
| | - Rodica Pop-Busui
- Division of Metabolism, Endocrinology and Diabetes, Department of Internal Medicine, University of Michigan, Ann Arbor, MI, United States
| | - Sophia H Hox
- Department of Veterans Affairs Pacific Islands Health Care System, Honolulu, HI, United States
| | - Chantal Underkofler
- Division of Endocrinology, Metabolism and Diabetes, Department of Medicine, University of Colorado School of Medicine, Aurora, CO, United States
| | - M Diane McKee
- University of Massachusetts Medical School, Worcester, MA, United States
| | - Jean Park
- MedStar Health Research Institute, Hyattsville and Baltimore MD, United States
| | - Mary K Rhee
- Emory University School of Medicine, Department of Medicine, Division of Endocrinology, Metabolism and Lipids, and the Atlanta VA Health Care System, Decatur, GA, United States
| | - Tina Killean
- Obesity and Diabetes Clinical Research Section, NIDDK-Phoenix, Phoenix, AZ, United States
| | - Heidi Krause-Steinrauf
- The Biostatistics Center, Department of Biostatistics and Bioinformatics, Milken Institute School of Public Health, The George Washington University, Rockville, MD, United States
| | - Vanita R Aroda
- MedStar Health Research Institute, Hyattsville and Baltimore MD, United States; Brigham and Women's Hospital, Harvard Medical School, Boston, MA, United States
| | - Deborah J Wexler
- Massachusetts General Hospital Diabetes Center and Harvard Medical School, Boston, MA, United States.
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Bao K, Cui Z, Wang H, Xiao H, Li T, Kong X, Liu T. Pseudotime Ordering Single-Cell Transcriptomic of β Cells Pancreatic Islets in Health and Type 2 Diabetes. PHENOMICS (CHAM, SWITZERLAND) 2021; 1:199-210. [PMID: 36939754 PMCID: PMC9590480 DOI: 10.1007/s43657-021-00024-z] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/31/2021] [Revised: 08/21/2021] [Accepted: 08/27/2021] [Indexed: 12/17/2022]
Abstract
β cells are defined by the ability to produce and secret insulin. Recent studies have evaluated that human pancreatic β cells are heterogeneous and demonstrated the transcript alterations of β cell subpopulation in diabetes. Single-cell RNA sequence (scRNA-seq) analysis helps us to refine the cell types signatures and understand the role of the β cells during metabolic challenges and diseases. Here, we construct the pseudotime trajectory of β cells from publicly available scRNA-seq data in health and type 2 diabetes (T2D) based on highly dispersed and highly expressed genes using Monocle2. We identified three major states including 1) Normal branch, 2) Obesity-like branch and 3) T2D-like branch based on biomarker genes and genes that give rise to bifurcation in the trajectory. β cell function-maintain-related genes, insulin expression-related genes, and T2D-related genes enriched in three branches, respectively. Continuous pseudotime spectrum might suggest that β cells transition among different states. The application of pseudotime analysis is conducted to clarify the different cell states, providing novel insights into the pathology of β cells in T2D. Supplementary Information The online version contains supplementary material is available at 10.1007/s43657-021-00024-z.
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Affiliation(s)
- Kaixuan Bao
- Human Phenome Institute, Fudan University, 825 Zhangheng Road, Shanghai, 201203 China
| | - Zhicheng Cui
- State Key Laboratory of Genetic Engineering, School of Life Sciences, and Collaborative Innovation Center for Genetics and Development, Fudan University, Shanghai, 200438 China
| | - Hui Wang
- Shanghai Key Laboratory of Metabolic Remodeling and Health, Institute of Metabolism and Integrative Biology, Fudan University, Shanghai, 200433 China
| | - Hui Xiao
- Human Phenome Institute, Fudan University, 825 Zhangheng Road, Shanghai, 201203 China
| | - Ting Li
- Human Phenome Institute, Fudan University, 825 Zhangheng Road, Shanghai, 201203 China
| | - Xingxing Kong
- State Key Laboratory of Genetic Engineering, School of Life Sciences, and Collaborative Innovation Center for Genetics and Development, Fudan University, Shanghai, 200438 China
| | - Tiemin Liu
- Human Phenome Institute, Fudan University, 825 Zhangheng Road, Shanghai, 201203 China
- State Key Laboratory of Genetic Engineering, School of Life Sciences, and Collaborative Innovation Center for Genetics and Development, Fudan University, Shanghai, 200438 China
- Shanghai Key Laboratory of Metabolic Remodeling and Health, Institute of Metabolism and Integrative Biology, Fudan University, Shanghai, 200433 China
- Department of Endocrinology and Metabolism, Zhongshan Hospital, Fudan University, Shanghai, 200032 China
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Bloomgarden ZT. Glycemic treatment: Further concepts. J Diabetes 2021; 13:362-363. [PMID: 33576179 DOI: 10.1111/1753-0407.13168] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/22/2022] Open
Affiliation(s)
- Zachary T Bloomgarden
- Division of Endocrinology, Icahn School of Medicine at Mount Sinai, New York, USA, New York
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