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Moffa S, Sorice GP, Di Giuseppe G, Cinti F, Ciccarelli G, Soldovieri L, Brunetti M, Sonnino R, Nista EC, Gasbarrini A, Pontecorvi A, Mezza T, Giaccari A. A single bout of physical exercise improves 1-hour post-load plasma glucose in healthy young adults. J Endocrinol Invest 2025; 48:455-464. [PMID: 39347907 PMCID: PMC11785650 DOI: 10.1007/s40618-024-02438-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/24/2024] [Accepted: 07/29/2024] [Indexed: 10/01/2024]
Abstract
PURPOSE Physical exercise is a key component in the treatment of type 2 diabetes and plays an important role in maintaining a healthy glucose metabolism even in healthy subjects. To date, no studies have investigated the effect of a single bout of aerobic physical exercise on glucose metabolism in young, moderately active, healthy adults. METHODS We performed an OGTT 7 days before and 24 h after a single bout of physical exercise, to evaluate 1-hour post-load plasma glucose and surrogate indexes of insulin sensitivity and insulin secretion. RESULTS Glucose levels were significantly reduced after exercise at baseline and one hour after glucose load; similarly, insulin was significantly lower 1 h after glucose load. We found a significant increase in the Matsuda index, confirmed by OGIS index, QUICKI index, and by significant reduction in HOMA-IR. Conversely, we observed a trend to increase in HOMA-B. CONCLUSION This is the first study to evaluate the effect of a single bout of exercise on 1-hour glucose levels following OGTT. We found a significant reduction in 1-hour glucose levels following OGTT together with an increased insulin sensitivity. A single 30-minute bout of aerobic exercise also seemed to improve the insulin secretion pattern. Modifications in beta cell secretory capacity during exercise are likely secondary to an improvement in insulin action in insulin dependent tissues.
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Affiliation(s)
- Simona Moffa
- Centro per le Malattie Endocrine e Metaboliche, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Roma, Italy
| | - Gian Pio Sorice
- Sezione di Medicina Interna, Endocrinologia, Andrologia e Malattie Metaboliche, Dipartimento di Medicina di Precisione e Rigenerativa e Area Jonica - (DiMePre-J), Università Degli Studi di Bari "Aldo Moro", Bari, Italy
| | - Gianfranco Di Giuseppe
- Centro per le Malattie Endocrine e Metaboliche, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Roma, Italy
- Dipartimento di Medicina e Chirurgia Traslazionale, Università Cattolica del Sacro Cuore, Roma, Italy
| | - Francesca Cinti
- Centro per le Malattie Endocrine e Metaboliche, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Roma, Italy
- Dipartimento di Medicina e Chirurgia Traslazionale, Università Cattolica del Sacro Cuore, Roma, Italy
| | - Gea Ciccarelli
- Centro per le Malattie Endocrine e Metaboliche, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Roma, Italy
- Dipartimento di Medicina e Chirurgia Traslazionale, Università Cattolica del Sacro Cuore, Roma, Italy
| | - Laura Soldovieri
- Centro per le Malattie Endocrine e Metaboliche, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Roma, Italy
- Dipartimento di Medicina e Chirurgia Traslazionale, Università Cattolica del Sacro Cuore, Roma, Italy
| | - Michela Brunetti
- Centro per le Malattie Endocrine e Metaboliche, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Roma, Italy
- Dipartimento di Medicina e Chirurgia Traslazionale, Università Cattolica del Sacro Cuore, Roma, Italy
| | - Rebecca Sonnino
- Centro per le Malattie Endocrine e Metaboliche, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Roma, Italy
- Dipartimento di Medicina e Chirurgia Traslazionale, Università Cattolica del Sacro Cuore, Roma, Italy
| | - Enrico C Nista
- Dipartimento di Medicina e Chirurgia Traslazionale, Università Cattolica del Sacro Cuore, Roma, Italy
- Pancreas Unit, Medicina Interna e Gastroenterologia, CEMAD Centro Malattie dell'Apparato Digerente, Fondazione Policlinico Universitario Gemelli IRCCS, Roma, Italy
| | - Antonio Gasbarrini
- Dipartimento di Medicina e Chirurgia Traslazionale, Università Cattolica del Sacro Cuore, Roma, Italy
- Pancreas Unit, Medicina Interna e Gastroenterologia, CEMAD Centro Malattie dell'Apparato Digerente, Fondazione Policlinico Universitario Gemelli IRCCS, Roma, Italy
| | - Alfredo Pontecorvi
- Dipartimento di Medicina e Chirurgia Traslazionale, Università Cattolica del Sacro Cuore, Roma, Italy
| | - Teresa Mezza
- Dipartimento di Medicina e Chirurgia Traslazionale, Università Cattolica del Sacro Cuore, Roma, Italy.
- Pancreas Unit, Medicina Interna e Gastroenterologia, CEMAD Centro Malattie dell'Apparato Digerente, Fondazione Policlinico Universitario Gemelli IRCCS, Roma, Italy.
| | - Andrea Giaccari
- Centro per le Malattie Endocrine e Metaboliche, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Roma, Italy
- Dipartimento di Medicina e Chirurgia Traslazionale, Università Cattolica del Sacro Cuore, Roma, Italy
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Zhang Y, Liu S, Cao B, Xu J, Jia W, Wang C. Comparing ADA and IDF diagnostic criteria for intermediate hyperglycaemia and diabetes in the SHiDS study. Diabetes Res Clin Pract 2025; 219:111963. [PMID: 39706370 DOI: 10.1016/j.diabres.2024.111963] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/16/2024] [Revised: 11/22/2024] [Accepted: 12/10/2024] [Indexed: 12/23/2024]
Abstract
AIMS This study aimed to assess the prevalence of IH and diabetes, as well as insulin secretion, insulin sensitivity, and related curve patterns in subjects with different glucose tolerance categories according to the diagnostic criteria established by the American Diabetes Association (ADA) and the more recently published International Diabetes Federation (IDF) guidelines. METHODS We used data of 5,387 adult participants from the Shanghai High-risk Diabetic Screen (SHiDS) study. All participants underwent a five-point 75 g oral glucose tolerance test (OGTT). Glycemic states were then classified according to the ADA/IDF diagnostic criteria, while OGTT-derived indices were employed to evaluate insulin secretion and sensitivity. RESULTS Overall, 3,729 subjects were diagnosed consistently under ADA/IDF criteria; while 941 and 717 subjects exhibited inconsistencies in the diagnostic classification for diabetes and IH, respectively. Notably, all of these individuals with discrepant diagnoses displayed β-cell dysfunction and/or insulin resistance compared to the NGT/NGT group. CONCLUSIONS The ADA criteria can identify individuals with elevated haemoglobinA1c (HbA1c) levels when the 1-hour plasma glucose (1-h PG) stay within the normal range, while the IDF criteria can identify subjects with impaired insulin sensitivity and secretion when fasting plasma glucose (FPG), 2-hour plasma glucose (2-h PG) and HbA1c values are in the normal range.
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Affiliation(s)
- Yinan Zhang
- Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, The Metabolic Disease Biobank, Shanghai, China.
| | - Shuang Liu
- Department of Endocrinology & Metabolism, Shanghai Fourth People's Hospital, School of Medicine, Tongji University, Shanghai 200434, China
| | - Baige Cao
- Department of Endocrinology & Metabolism, Shanghai Fourth People's Hospital, School of Medicine, Tongji University, Shanghai 200434, China.
| | - Jinfang Xu
- Department of Health Statistics, Naval Medical University, Shanghai 200433, China.
| | - Weiping Jia
- Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Clinical Centre for Diabetes, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.
| | - Congrong Wang
- Department of Endocrinology & Metabolism, Shanghai Fourth People's Hospital, School of Medicine, Tongji University, Shanghai 200434, China.
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Lee MH, Febriana E, Lim M, Baig S, Shen L, Dalakoti M, Chew N, Loh TP, Chan M, Chia KS, Kong APS, Cook AR, Halter JB, Magkos F, Toh SA. Performance of the 1 h oral glucose tolerance test in predicting type 2 diabetes and association with impaired β-cell function in Asians: a national prospective cohort study. THE LANCET REGIONAL HEALTH. WESTERN PACIFIC 2025; 54:101278. [PMID: 39840148 PMCID: PMC11750441 DOI: 10.1016/j.lanwpc.2024.101278] [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: 10/04/2024] [Revised: 12/19/2024] [Accepted: 12/20/2024] [Indexed: 01/23/2025]
Abstract
Background Postprandial glucose concentration 1-h (1 h-PG) after an oral glucose tolerance test (OGTT) has similar or superior performance to 2 h-PG in predicting type-2 diabetes mellitus (T2DM) in several populations, and is simpler to obtain in clinical practice. However, studies in Asians are scarce. We investigated the utility of elevated baseline 1 h-PG in predicting T2DM incidence within three years, and its relationship with β-cell function in 1250 non-diabetic Asian participants. Methods Participants underwent an OGTT, an intravenous glucose challenge and a hyperinsulinemic-euglycemic clamp to determine glucose tolerance, acute insulin response (AIR) and insulin sensitivity at baseline. OGTTs were repeated every six months until study completion to monitor T2DM conversion. Findings The area under the receiver operating characteristic curve of 1 h-PG was not significantly different from 2 h-PG (AUC1h-PG = 0.883 vs. AUC2h-PG = 0.907; ΔAUC = -0.024, P = 0.124) and the optimal 1 h-PG cut-off was ≥10.7 mmol/L. When groups of high/low 1 h-PG and 2 h-PG at baseline were compared, AIR and disposition index were significantly lower in groups with high 1 h-PG, and both had a stronger correlation with 1 h-PG, indicating that impaired β-cell function was more strongly associated with elevated 1 h-PG than 2 h-PG. Interpretation The ability of 1 h-PG to detect Asians at risk of developing T2DM within three years is on par with 2 h-PG and the optimal cut-off is 10.7 mmol/L. Elevated 1 h-PG is associated with β-cell dysfunction. We conclude that 1 h-PG can be considered as a primary OGTT time point to identify Asians at risk for T2DM, allowing for screening at a reduced time and cost, and with lower patient burden. Funding National Medical Research Council (NMRC), Ministry of Health (MOH; Singapore) Industry Alignment Fund [NMRC/MOHIAFCat1/0048/2016] and Janssen Pharmaceuticals Inc. (USA).
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Affiliation(s)
- Michelle H. Lee
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore
- NOVI Health, Singapore
| | - Eveline Febriana
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Maybritte Lim
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore
- Department of Medicine, National University Hospital, Singapore
| | - Sonia Baig
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Liang Shen
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Mayank Dalakoti
- Department of Medicine, Ng Teng Fong General Hospital, Singapore
- Department of Cardiology, National University Heart Centre, Singapore
| | - Nicholas Chew
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore
- Department of Cardiology, National University Heart Centre, Singapore
| | - Tze Ping Loh
- Department of Laboratory Medicine, National University Hospital, Singapore
| | - Mark Chan
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore
- Department of Cardiology, National University Heart Centre, Singapore
| | - Kee Seng Chia
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore
| | - Alice Pik-Shan Kong
- Department of Medicine & Therapeutics, Faculty of Medicine, The Chinese University of Hong Kong SAR, China
| | - Alex R. Cook
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore
| | - Jeffrey B. Halter
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore
- Division of Geriatric and Palliative Medicine, University of Michigan, USA
| | - Faidon Magkos
- Department of Nutrition, Exercise and Sports, University of Copenhagen, Denmark
| | - Sue-Anne Toh
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore
- NOVI Health, Singapore
- Department of Medicine, National University Hospital, Singapore
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Yuan F, Fang D, Xu H, Nie Y, Cai W, Gu T. One-hour post-load glucose is associated with biopsy-proven metabolic dysfunction-associated steatotic liver disease in obese individuals. DIABETES & METABOLISM 2025; 51:101588. [PMID: 39645036 DOI: 10.1016/j.diabet.2024.101588] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/05/2024] [Revised: 10/17/2024] [Accepted: 11/03/2024] [Indexed: 12/09/2024]
Abstract
AIM To investigate the association between one-hour post-load plasma glucose (1h-PG) levels and metabolic dysfunction-associated steatotic liver disease (MASLD) and metabolic-associated steatohepatitis (MASH). METHODS Clinical data were collected from 538 obese participants who underwent oral glucose tolerance tests (OGTT) and liver biopsy in the Drum Tower Hospital affiliated with the Nanjing University Medical School. Participants were categorized into normal glucose tolerance (NGT), prediabetes (pre-DM), and type 2 diabetes (T2DM) groups, with further stratification of the NGT group into 1h-PG Low and 1h-PG High. The diagnosis of MASLD and MASH was performed using the NASH Clinical Research Network scoring system. Logistic regression analyses were performed to determine the association between each category and MASLD/ MASH. RESULTS The prevalence of MASLD and MASH progressively increased across NGT 1h-PG Low, NGT 1h-PG High, pre-DM and T2DM groups. Compared to the NGT 1h-PG Low group, the NGT 1h-PG High group had a significantly higher risk of MASLD (OR 3.27 [95 % CI 1.32;8.09]) and MASH (OR 3.08 [1.55;6.11]), which is similar to the pre-DM group. Additionally, elevated 1h-PG levels were associated with hepatic steatosis, lobular inflammation, and fibrosis. Mediation analysis indicated that Matsuda insulin sensitivity index and disposition index played a sequential mediating role between 1h-PG and hepatic steatosis, accounting for 14.23 % of total effect (β 0.014 [95 % CI 0.002;0.035]). CONCLUSION Elevated 1h-PG levels increase the risk of MASLD and MASH in obese individuals. Early screening and management of MASLD are necessary, even in NGT individuals when 1h-PG levels are ≥8.6 mmol/l.
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Affiliation(s)
- Fangqin Yuan
- Department of Endocrinology, Endocrine and Metabolic Disease Medical Center, Nanjing Drum Tower Hospital Clinical College of Nanjing University of Chinese Medicine; Branch of National Clinical Research Centre for Metabolic Diseases, Nanjing, China
| | - Da Fang
- Department of Endocrinology, Endocrine and Metabolic Disease Medical Center, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University; Branch of National Clinical Research Centre for Metabolic Diseases, Nanjing, China
| | - Hao Xu
- Department of Endocrinology, Endocrine and Metabolic Disease Medical Center, Nanjing Drum Tower Hospital Clinical College of Nanjing University of Chinese Medicine; Branch of National Clinical Research Centre for Metabolic Diseases, Nanjing, China
| | - Yuanyuan Nie
- Department of Endocrinology, Endocrine and Metabolic Disease Medical Center, Nanjing Drum Tower Hospital Clinical College of Nanjing University of Chinese Medicine; Branch of National Clinical Research Centre for Metabolic Diseases, Nanjing, China
| | - Wen Cai
- Department of Endocrinology, Endocrine and Metabolic Disease Medical Center, Nanjing Drum Tower Hospital Clinical College of Nanjing Medical University; Branch of National Clinical Research Centre for Metabolic Diseases, Nanjing, China
| | - Tianwei Gu
- Department of Endocrinology, Endocrine and Metabolic Disease Medical Center, Nanjing Drum Tower Hospital Clinical College of Nanjing University of Chinese Medicine; Department of Endocrinology, Endocrine and Metabolic Disease Medical Center, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University; Branch of National Clinical Research Centre for Metabolic Diseases, Nanjing, China.
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Victoria-Montesinos D, Ballester P, Barcina-Pérez P, García-Muñoz AM. Systematic Review and Meta-Analysis of Sclerocarya birrea on Metabolic Disorders: Evidence from Preclinical Studies. Metabolites 2024; 14:615. [PMID: 39590851 PMCID: PMC11596559 DOI: 10.3390/metabo14110615] [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: 10/09/2024] [Revised: 11/03/2024] [Accepted: 11/06/2024] [Indexed: 11/28/2024] Open
Abstract
BACKGROUND/OBJECTIVES Metabolic disorders, including diabetes, obesity, and cardiovascular diseases, are significant global health issues. Nutraceuticals, such as Sclerocarya birrea (SB), known for its high polyphenol content, are increasingly explored for managing these conditions. This study aims to evaluate the antihyperglycemic, hypolipidemic, and antihypertensive effects of SB in animal models to understand its potential as a natural intervention for metabolic diseases. METHODS A systematic review and meta-analysis were conducted according to PRISMA guidelines. Searches across databases like PubMed, Web of Science, Embase, and Scopus identified studies using SB in animal models of metabolic disorders. Inclusion criteria were studies with SB intervention, control groups, and quantitative measures of metabolic parameters. The study was registered with INPLASY (INPLASY2024100031). RESULTS The meta-analysis revealed that SB significantly reduces blood glucose levels in diabetic animal models. Acute administration of SB showed a pooled standardized mean difference (SMD) of -7.13 (95% CI: -11.44 to -2.83) at 1 h and -9.75 (95% CI: -15.92 to -3.59) at 2-4 h post-administration. Chronic administration indicated a non-significant reduction in glucose levels (SMD: -5.69, 95% CI: -16.38 to 5.01). CONCLUSIONS SB appears to have the potential for reducing blood glucose levels and may offer benefits for other cardiometabolic risk factors, including lipid profiles and oxidative stress. However, variability in the results underscores the need for further research, including standardized animal studies and clinical trials, to confirm these effects and clarify the mechanisms by which SB may impact metabolic disorders.
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Affiliation(s)
| | - Pura Ballester
- Faculty of Pharmacy and Nutrition, UCAM Universidad Católica de Murcia, 30107 Murcia, Spain; (D.V.-M.); (P.B.-P.); (A.M.G.-M.)
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Dimova R, Chakarova N, Serdarova M, Tankova T. Lipid profile is similar in both subjects with high 1-hour postload glucose and 2-hour postload glucose and is related to cardio-metabolic profile in prediabetes. J Diabetes Complications 2024; 38:108869. [PMID: 39306875 DOI: 10.1016/j.jdiacomp.2024.108869] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/19/2024] [Revised: 08/16/2024] [Accepted: 09/15/2024] [Indexed: 10/26/2024]
Abstract
AIM The study aimed to investigate a lipid profile in people with normal glucose tolerance (NGT), NGT and 1hrOGTT > 8.6 mmol/l, and impaired glucose tolerance (IGT); and to assess its association with some cardio-metabolic parameters. MATERIAL AND METHODS A total of 90 subjects, of mean age 46.7 ± 10.5 years and mean BMI of 32.0 ± 6.3 kg/m2 were enrolled. They were divided into 3 groups: 19 with NGT, 22 with NGT and 1hrOGTT > 8.6 mmol/l, and 49 with IGT; and subdivided into 2 subgroups according to HOMA-IR: 40 with HOMA-IR < 2.5 and 50 with HOMA-IR ≥ 2.5. Body composition (Inbody 720) and advanced glycation end products (AGE Reader) were assessed. Two functional tests (OGTT; MMTT) were performed and AUC for glucose, insulin and triglycerides were calculated. RESULTS There was no difference across the glucose tolerance groups for all evaluated lipids. The results showed higher AUCinsulin during OGTT (p = 0.037 and 0.020), AUCtriglycerides during MMTT (p = 0.048) and triglycerides/HDL ratio (p = 0.064 and 0.016) in the 1hrOGTT and IGT subgroups with HOMA-IR ≥ 2.5 in comparison to those with HOMA-IR < 2.5. AUCtriglycerides during OGTT is independently related to body composition, b-cell function and insulin sensitivity; and AUCtriglycerides during MMTT is independently related to blood pressure and hsCRP in prediabetes. Triglycerides/HDL-C ratio emerged as an independent contributor to glycaemia and insulinemia. CONCLUSION Our results demonstrate a similar lipid profile in subjects with 1hrOGTT > 8.6 mmol/l and IGT, whereas increased AUCtriglycerides during OGTT, AUCtriglycerides during MMTT and triglycerides/HDL-C ratio have been found in the subgroups with insulin resistance. The triglycerides/HDL-C ratio outlined as an independent predictor of insulin secretion and action, and postload triglycerides appear to be independently related to most of the metabolic parameters.
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Affiliation(s)
- Rumyana Dimova
- Department of Endocrinology, Medical University Sofia, 2, Zdrave str., Sofia 1431, Bulgaria.
| | - Nevena Chakarova
- Department of Endocrinology, Medical University Sofia, 2, Zdrave str., Sofia 1431, Bulgaria
| | - Mina Serdarova
- Department of Endocrinology, Medical University Sofia, 2, Zdrave str., Sofia 1431, Bulgaria
| | - Tsvetalina Tankova
- Department of Endocrinology, Medical University Sofia, 2, Zdrave str., Sofia 1431, Bulgaria
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Cefalo CMA, Riccio A, Fiorentino TV, Succurro E, Mannino GC, Perticone M, Sciacqua A, Andreozzi F, Sesti G. Pathophysiological characteristics of subjects with intermediate hyperglycemia and type 2 diabetes identified by 1-hour plasma glucose during an oral glucose tolerance test. Diabetes Res Clin Pract 2024; 217:111856. [PMID: 39260622 DOI: 10.1016/j.diabres.2024.111856] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/29/2024] [Revised: 08/24/2024] [Accepted: 09/06/2024] [Indexed: 09/13/2024]
Abstract
AIMS The International Diabetes Federation (IDF) has recently recommended determination of 1-hour plasma glucose (1-hPG) during an oral glucose tolerance test (OGTT) to diagnose intermediate hyperglycemia (IH) and type 2 diabetes (T2DM). Herein, we investigated the cardiometabolic characteristics of individuals with IH and T2DM according to IDF criteria. METHODS We studied 3086 individuals stratified on the basis of fasting, 1-hPG and 2-hPG in four groups: 1) normal glucose tolerance (NGT), 2) isolated impaired fasting glucose (iIFG,), 3) IH (fasting glucose < 126 mg/dL, 1-hPG 155-208 mg/dL, and/or 2-hPG 140-199 mg/dL, and 4) newly diagnosed T2DM (fasting glucose, 1-hPG and/or 2-hPG≥126 mg/dL, 209 mg/dL and 200 mg/dL, respectively). RESULTS Individuals with IH and T2DM exhibited higher adiposity, blood pressure, uric acid, a worse lipid and inflammatory profile and a progressive reduction in Matsuda index of insulin sensitivity, insulinogenic index, and disposition index as compared to the NGT group. Moreover, individuals with IH and T2DM exhibited lower Matsuda, insulinogenic, and disposition indexes as compared to the iIFG group. CONCLUSIONS 1-h PG-based criteria for diagnosis of IH and diabetes identify individuals having an unfavorable cardiometabolic risk profile with a progressive reduction in insulin sensitivity associated with impaired β cell function.
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Affiliation(s)
- Chiara M A Cefalo
- Department of Clinical and Molecular Medicine, University of Rome-Sapienza, 00189 Rome, Italy
| | - Alessia Riccio
- Department of Clinical and Molecular Medicine, University of Rome-Sapienza, 00189 Rome, Italy
| | - Teresa Vanessa Fiorentino
- Department of Medical and Surgical Sciences, University Magna Graecia of Catanzaro, 88100 Catanzaro, Italy.
| | - Elena Succurro
- Department of Medical and Surgical Sciences, University Magna Graecia of Catanzaro, 88100 Catanzaro, Italy
| | - Gaia Chiara Mannino
- Department of Medical and Surgical Sciences, University Magna Graecia of Catanzaro, 88100 Catanzaro, Italy
| | - Maria Perticone
- Department of Medical and Surgical Sciences, University Magna Graecia of Catanzaro, 88100 Catanzaro, Italy
| | - Angela Sciacqua
- Department of Medical and Surgical Sciences, University Magna Graecia of Catanzaro, 88100 Catanzaro, Italy
| | - Francesco Andreozzi
- Department of Medical and Surgical Sciences, University Magna Graecia of Catanzaro, 88100 Catanzaro, Italy
| | - Giorgio Sesti
- Department of Clinical and Molecular Medicine, University of Rome-Sapienza, 00189 Rome, Italy
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Miletić M, Stević Z, Vujović S, Rakočević J, Tomić A, Tančić Gajić M, Stojanović M, Palibrk A, Žarković M. Glucose and Lipid Metabolism Disorders in Adults with Spinal Muscular Atrophy Type 3. Diagnostics (Basel) 2024; 14:2078. [PMID: 39335757 PMCID: PMC11431033 DOI: 10.3390/diagnostics14182078] [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: 07/11/2024] [Revised: 08/22/2024] [Accepted: 09/13/2024] [Indexed: 09/30/2024] Open
Abstract
BACKGROUND Spinal muscular atrophy type 3 (juvenile SMA, Kugelberg-Welander disease) is a genetic disease caused by changes in the survival motor neuron 1 (SMN) gene. However, there is increasing evidence of metabolic abnormalities in SMA patients, such as altered fatty acid metabolism, impaired glucose tolerance, and defects in the functioning of muscle mitochondria. Given that data in the literature are scarce regarding this subject, the purpose of this study was to estimate the prevalence of glucose and lipid metabolism disorders in adult patients with SMA type 3. METHODS We conducted a cross-sectional study of 23 adult patients with SMA type 3 who underwent a comprehensive evaluation, including a physical examination, biochemical analysis, and an oral glucose tolerance test during 2020-2023. RESULTS At least one lipid abnormality was observed in 60.8% of patients. All four lipid parameters were atypical in 4.3% of patients, three lipid parameters were abnormal in 21.7% of patients, and two lipid parameters were altered in 8.7% patients. A total of 91.3% of SMA3 patients met the HOMA-IR criteria for insulin resistance, with 30.43% having impaired glucose tolerance. None of the patients met the criteria for a diagnosis of overt DM2. CONCLUSIONS The prevalence of dyslipidemia and altered glucose metabolism in our study sets apart the adult population with SMA3 from the general population, confirming a significant interplay between muscle, liver, and adipose tissue. Ensuring metabolic care for aging patients with SMA 3 is crucial, as they are vulnerable to metabolic derangements and cardiovascular risks.
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Affiliation(s)
- Marija Miletić
- Clinic for Endocrinology, Diabetes and Metabolic Diseases, University Clinical Center of Serbia, 11000 Belgrade, Serbia; (S.V.); (M.T.G.); (M.S.); (M.Ž.)
- Faculty of Medicine, University of Belgrade, 11000 Belgrade, Serbia; (Z.S.); (A.P.)
| | - Zorica Stević
- Faculty of Medicine, University of Belgrade, 11000 Belgrade, Serbia; (Z.S.); (A.P.)
- Clinic of Neurology, University Clinical Center of Serbia, 11000 Belgrade, Serbia
| | - Svetlana Vujović
- Clinic for Endocrinology, Diabetes and Metabolic Diseases, University Clinical Center of Serbia, 11000 Belgrade, Serbia; (S.V.); (M.T.G.); (M.S.); (M.Ž.)
- Faculty of Medicine, University of Belgrade, 11000 Belgrade, Serbia; (Z.S.); (A.P.)
| | - Jelena Rakočević
- Institute of Histology and Embryology “Aleksandar Đ. Kostić”, Faculty of Medicine, University of Belgrade, 11000 Belgrade, Serbia;
| | - Ana Tomić
- Center for Radiology Imaging-Magnetic Resonance, University Clinical Center of Serbia, 11000 Belgrade, Serbia;
| | - Milina Tančić Gajić
- Clinic for Endocrinology, Diabetes and Metabolic Diseases, University Clinical Center of Serbia, 11000 Belgrade, Serbia; (S.V.); (M.T.G.); (M.S.); (M.Ž.)
- Faculty of Medicine, University of Belgrade, 11000 Belgrade, Serbia; (Z.S.); (A.P.)
| | - Miloš Stojanović
- Clinic for Endocrinology, Diabetes and Metabolic Diseases, University Clinical Center of Serbia, 11000 Belgrade, Serbia; (S.V.); (M.T.G.); (M.S.); (M.Ž.)
- Faculty of Medicine, University of Belgrade, 11000 Belgrade, Serbia; (Z.S.); (A.P.)
| | - Aleksa Palibrk
- Faculty of Medicine, University of Belgrade, 11000 Belgrade, Serbia; (Z.S.); (A.P.)
- Clinic of Neurology, University Clinical Center of Serbia, 11000 Belgrade, Serbia
| | - Miloš Žarković
- Clinic for Endocrinology, Diabetes and Metabolic Diseases, University Clinical Center of Serbia, 11000 Belgrade, Serbia; (S.V.); (M.T.G.); (M.S.); (M.Ž.)
- Faculty of Medicine, University of Belgrade, 11000 Belgrade, Serbia; (Z.S.); (A.P.)
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9
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Miyamoto M, Nakamura A, Miya A, Nomoto H, Kameda H, Cho KY, Iwahara N, Hotta K, Shinohara N, Atsumi T. Normalization of impaired glucose tolerance after kidney transplantation is associated with improved β-cell function. Am J Physiol Endocrinol Metab 2024; 327:E194-E202. [PMID: 38836778 DOI: 10.1152/ajpendo.00433.2023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/29/2023] [Revised: 04/24/2024] [Accepted: 05/19/2024] [Indexed: 06/06/2024]
Abstract
Our previous study revealed that over 50% of recipients with pretransplant impaired glucose tolerance (IGT) improved to normal glucose tolerance after kidney transplantation. However, the mechanism is unclear. We aimed to investigate whether the changes in glucose tolerance are associated with β-cell function and insulin resistance in Japanese kidney transplant recipients with pretransplant IGT. Of the 265 recipients who received kidney transplantation, 54 with pretransplant IGT were included. We divided the recipients into improvement and nonimprovement groups according to the change in the area under the curve for glucose obtained from the oral glucose tolerance test (OGTT). β-Cell function was estimated by the insulin secretion sensitivity index-2 (ISSI-2) and the disposition index (DI). Insulin resistance was estimated by the Matsuda index (MI) and the homeostasis model assessment of insulin resistance (HOMA-IR). ISSI-2 and DI increased significantly after transplantation in the improved group (P < 0.01, P < 0.05, respectively), but not in the nonimproved group. ΔISSI-2 and ΔDI were significantly and positively associated with pretransplant 60-min OGTT plasma glucose levels (both P < 0.01). There were no differences in MI or HOMA-IR between these two groups after transplantation. In recipients not on pretransplant dialysis, a significant negative association was found between Δblood urea nitrogen (BUN) and ΔDI (correlation coefficient = -0.48, P < 0.05). In pretransplant IGT recipients, improvements in glucose tolerance after kidney transplantation were linked to improvements in β-cell function. The higher the 60-min OGTT plasma glucose level, the greater the improvement in posttransplant β-cell function. Improvements in BUN after transplantation were associated with improvements in β-cell function.NEW & NOTEWORTHY In recipients with pretransplant impaired glucose tolerance, improvements in glucose tolerance after kidney transplantation were associated with improvements in β-cell function. The higher the pretransplant 60-min OGTT plasma glucose level, the greater the improvement in posttransplant β-cell function. Although glucose tolerance is known to be impaired after transplantation, the present study focused on the reason for the improvement in glucose tolerance rather than the development of posttransplantation diabetes mellitus.
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Affiliation(s)
- Maiko Miyamoto
- Department of Rheumatology, Endocrinology and Nephrology, Faculty of Medicine and Graduate School of Medicine, Hokkaido University, Sapporo, Japan
| | - Akinobu Nakamura
- Department of Rheumatology, Endocrinology and Nephrology, Faculty of Medicine and Graduate School of Medicine, Hokkaido University, Sapporo, Japan
| | - Aika Miya
- Department of Rheumatology, Endocrinology and Nephrology, Faculty of Medicine and Graduate School of Medicine, Hokkaido University, Sapporo, Japan
| | - Hiroshi Nomoto
- Department of Rheumatology, Endocrinology and Nephrology, Faculty of Medicine and Graduate School of Medicine, Hokkaido University, Sapporo, Japan
| | - Hiraku Kameda
- Department of Rheumatology, Endocrinology and Nephrology, Faculty of Medicine and Graduate School of Medicine, Hokkaido University, Sapporo, Japan
| | - Kyu Yong Cho
- Department of Rheumatology, Endocrinology and Nephrology, Faculty of Medicine and Graduate School of Medicine, Hokkaido University, Sapporo, Japan
| | - Naoya Iwahara
- Department of Renal and Genitourinary Surgery, Graduate School of Medicine, Hokkaido University, Sapporo, Japan
| | - Kiyohiko Hotta
- Department of Renal and Genitourinary Surgery, Graduate School of Medicine, Hokkaido University, Sapporo, Japan
| | - Nobuo Shinohara
- Department of Renal and Genitourinary Surgery, Graduate School of Medicine, Hokkaido University, Sapporo, Japan
| | - Tatsuya Atsumi
- Department of Rheumatology, Endocrinology and Nephrology, Faculty of Medicine and Graduate School of Medicine, Hokkaido University, Sapporo, Japan
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10
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Ho JPY, Lau ESH, Kwan O C, Fan B, Ko GTC, Kong APS, Ma RCW, Chow EYK, Chan JCN, Luk AOY. One-hour post-load plasma glucose level predicts future type 2 diabetes in a community-based study of Hong Kong Chinese workforce. Diabetes Res Clin Pract 2024; 212:111718. [PMID: 38796080 DOI: 10.1016/j.diabres.2024.111718] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/18/2024] [Revised: 05/08/2024] [Accepted: 05/19/2024] [Indexed: 05/28/2024]
Abstract
BACKGROUND We compared performance of high 1-hour PG level, impaired fasting glucose (IFG) and impaired glucose tolerance (IGT) in predicting type 2 diabetes in a longitudinal community-based cohort of Hong Kong Chinese. METHODS Between 2001 and 2003, 472 adults aged 18-55 years without diabetes underwent 75-gram oral glucose tolerance test (OGTT). Between 2012 and 2014, progression to diabetes was ascertained by reviewing medical records or repeating OGTT and HbA1c. We defined high 1-hour PG as PG ≥ 8.6 mmol/L at 1-hour. RESULTS In this cohort, 23.5% had normal glucose tolerance and high 1-hour PG, 10.0% had isolated IGT, 4.2% had isolated IFG. Over 12-year follow-up, 9.3% developed type 2 diabetes. In logistic regression, high 1-hour PG was associated with progression to type 2 diabetes with adjusted odds ratio (95% CI) of 4.20 (1.60, 12.40), independent of IFG, IGT and other clinical variables. Areas under ROC (95% CI) for type 2 diabetes were similar between 1-hour (0.84 [0.78, 0.89], 2-hour (0.79 [0.72, 0.86]) and fasting PG (0.79 [0.71, 0.86]). CONCLUSION High 1-hour PG identified young Chinese with 5-fold increased risk of type 2 diabetes independent of other intermediate hyperglycaemia status and clinical factors. 1-hour PG is similar to fasting and 2-hour PG in predicting type 2 diabetes.
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Affiliation(s)
- Jane Pui-Ying Ho
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong Special Administrative Region
| | - Eric Siu-Him Lau
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong Special Administrative Region
| | - Chun Kwan O
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong Special Administrative Region
| | - Baoqi Fan
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong Special Administrative Region
| | - Gary Tin-Choi Ko
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong Special Administrative Region
| | - Alice Pik-Shan Kong
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong Special Administrative Region; Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Hong Kong Special Administrative Region; Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Hong Kong Special Administrative Region
| | - Ronald Ching-Wan Ma
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong Special Administrative Region; Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Hong Kong Special Administrative Region; Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Hong Kong Special Administrative Region
| | - Elaine Yee-Kwan Chow
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong Special Administrative Region; Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Hong Kong Special Administrative Region; Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Hong Kong Special Administrative Region
| | - Juliana Chung-Ngor Chan
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong Special Administrative Region; Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Hong Kong Special Administrative Region; Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Hong Kong Special Administrative Region
| | - Andrea On-Yan Luk
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong Special Administrative Region; Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Hong Kong Special Administrative Region; Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Hong Kong Special Administrative Region.
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11
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Bergman M, Manco M, Satman I, Chan J, Schmidt MI, Sesti G, Vanessa Fiorentino T, Abdul-Ghani M, Jagannathan R, Kumar Thyparambil Aravindakshan P, Gabriel R, Mohan V, Buysschaert M, Bennakhi A, Pascal Kengne A, Dorcely B, Nilsson PM, Tuomi T, Battelino T, Hussain A, Ceriello A, Tuomilehto J. International Diabetes Federation Position Statement on the 1-hour post-load plasma glucose for the diagnosis of intermediate hyperglycaemia and type 2 diabetes. Diabetes Res Clin Pract 2024; 209:111589. [PMID: 38458916 DOI: 10.1016/j.diabres.2024.111589] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/10/2024]
Abstract
Many individuals with intermediate hyperglycaemia (IH), including impaired fasting glycaemia (IFG) and impaired glucose tolerance (IGT), as presently defined, will progress to type 2 diabetes (T2D). There is confirmatory evidence that T2D can be prevented by lifestyle modification and/or medications, in people with IGT diagnosed by 2-h plasma glucose (PG) during a 75-gram oral glucose tolerance test (OGTT). Over the last 40 years, a wealth of epidemiological data has confirmed the superior value of 1-h plasma glucose (PG) over fasting PG (FPG), glycated haemoglobin (HbA1c) and 2-h PG in populations of different ethnicity, sex and age in predicting diabetes and associated complications including death. Given the relentlessly rising prevalence of diabetes, a more sensitive, practical method is needed to detect people with IH and T2D for early prevention or treatment in the often lengthy trajectory to T2D and its complications. The International Diabetes Federation (IDF) Position Statement reviews findings that the 1-h post-load PG ≥ 155 mg/dL (8.6 mmol/L) in people with normal glucose tolerance (NGT) during an OGTT is highly predictive for detecting progression to T2D, micro- and macrovascular complications, obstructive sleep apnoea, cystic fibrosis-related diabetes mellitus, metabolic dysfunction-associated steatotic liver disease, and mortality in individuals with risk factors. The 1-h PG of 209 mg/dL (11.6 mmol/L) is also diagnostic of T2D. Importantly, the 1-h PG cut points for diagnosing IH and T2D can be detected earlier than the recommended 2-h PG thresholds. Taken together, the 1-h PG provides an opportunity to avoid misclassification of glycaemic status if FPG or HbA1c alone are used. The 1-h PG also allows early detection of high-risk people for intervention to prevent progression to T2D which will benefit the sizeable and growing population of individuals at increased risk of T2D. Using a 1-h OGTT, subsequent to screening with a non-laboratory diabetes risk tool, and intervening early will favourably impact the global diabetes epidemic. Health services should consider developing a policy for screening for IH based on local human and technical resources. People with a 1-h PG ≥ 155 mg/dL (8.6 mmol/L) are considered to have IH and should be prescribed lifestyle intervention and referred to a diabetes prevention program. People with a 1-h PG ≥ 209 mg/dL (11.6 mmol/L) are considered to have T2D and should have a repeat test to confirm the diagnosis of T2D and then referred for further evaluation and treatment. The substantive data presented in the Position Statement provides strong evidence for redefining current diagnostic criteria for IH and T2D by adding the 1-h PG.
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Affiliation(s)
- Michael Bergman
- NYU Grossman School of Medicine, Departments of Medicine and of Population Health, Division of Endocrinology, Diabetes and Metabolism, VA New York Harbor Healthcare System, New York, NY, USA.
| | - Melania Manco
- Predictive and Preventive Medicine Research Unit, Bambino Gesù Children's Hospital IRCCS, Rome, Italy
| | - Ilhan Satman
- Istanbul University Faculty of Medicine, Department of Internal Medicine, Division of Endocrinology and Metabolism, Istanbul, Turkey
| | - Juliana Chan
- The Chinese University of Hong Kong, Faculty of Medicine, Department of Medicine and Therapeutics, Hong Kong Institute of Diabetes and Obesity, Hong Kong, China
| | - Maria Inês Schmidt
- Postgraduate Program in Epidemiology, School of Medicine and Hospital de Clínicas de Porto Alegre, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
| | - Giorgio Sesti
- Department of Clinical and Molecular Medicine, University of Rome-Sapienza, 00189 Rome, Italy
| | - Teresa Vanessa Fiorentino
- Department of Medical and Surgical Sciences, University Magna Graecia of Catanzaro, 88100 Catanzaro, Italy
| | - Muhammad Abdul-Ghani
- Division of Diabetes, University of Texas Health Science Center at San Antonio, San Antonio Texas, USA
| | - Ram Jagannathan
- Hubert Department of Global Health Rollins, School of Public Health, Emory University, Atlanta, GA, USA
| | | | - Rafael Gabriel
- Department of International Health, National School of Public Health, Instituto de Salud Carlos III, Madrid, Spain
| | - Viswanathan Mohan
- Dr. Mohan's Diabetes Specialities Centre and Madras Diabetes Research Foundation, Chennai, India
| | - Martin Buysschaert
- Department of Endocrinology and Diabetology, Université Catholique de Louvain, University, Clinic Saint-Luc, Brussels, Belgium
| | - Abdullah Bennakhi
- Dasman Diabetes Institute Office of Regulatory Affairs, Ethics Review Committee, Kuwait
| | - Andre Pascal Kengne
- South African Medical Research Council, Francie Van Zijl Dr, Parow Valley, Cape Town, 7501, South Africa
| | - Brenda Dorcely
- NYU Grossman School of Medicine, Department of Medicine, Division of Endocrinology, Diabetes and Metabolism, New York, NY, USA
| | - Peter M Nilsson
- Department of Clinical Sciences and Lund University Diabetes Centre, Lund University, Skåne University Hospital, Malmö, Sweden
| | - Tiinamaija Tuomi
- Folkhälsan Research Center, Helsinki, Finland; Abdominal Center, Endocrinology, Helsinki University Central Hospital, Research Program for Diabetes and Obesity, Center of Helsinki, Helsinki, Finland
| | | | - Akhtar Hussain
- Faculty of Health Sciences, Nord University, Bodø, Norway; Faculty of Medicine, Federal University of Ceará (FAMED-UFC), Brazil; International Diabetes Federation (IDF), Brussels, Belgium; Diabetes in Asia Study Group, Post Box: 752, Doha-Qatar; Centre for Global Health Research, Diabetic Association of Bangladesh, Dhaka, Bangladesh
| | | | - Jaakko Tuomilehto
- Department of International Health, National School of Public Health, Instituto de Salud Carlos III, Madrid, Spain; Public Health Promotion Unit, Finnish Institute for Health and Welfare, Helsinki, Finland; Department of Public Health, University of Helsinki, Helsinki, Finland; Saudi Diabetes Research Group, King Abdulaziz University, Jeddah, Saudi Arabia
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12
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Ravà L, Fintini D, Mariani M, Deodati A, Inzaghi E, Pedicelli S, Bizzarri C, Cappa M, Cianfarani S, Manco M. High 1-h glucose in youths with obesity as marker of prediabetes and cardiovascular risk. J Endocrinol Invest 2023; 46:2555-2562. [PMID: 37204691 DOI: 10.1007/s40618-023-02111-6] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/30/2023] [Accepted: 05/09/2023] [Indexed: 05/20/2023]
Abstract
PURPOSE Testing 1-h glucose (1HG) concentration during oral glucose tolerance test is cost-effective to identify individuals at risk of incident type 2 diabetes. Aim of the study was to define 1HG cutoffs diagnostic of incident impaired glucose tolerance (IGT) in youths with obesity, and to evaluate prevalence and association of cutoffs identified in the cohort and from the literature (133 and 155 mg/dl) to cardiovascular disease (CVD) in a population of youths with obesity. METHODS This is a longitudinal study of 154 youths to identify 1HG cutoffs, and cross-sectional study of 2295 youths to estimate prevalence of high 1HG and association to CVD. Receiver-operating characteristic curves (ROC) were used to establish 1HG cutoffs, and univariate regression analyses to test association of 1HG to blood pressure, lipids and aminotransferases. RESULTS ROC analysis identified the 1HG cutoff of 159 mg/dl as having diagnostic accuracy of IGT with area under the ROC 0.82 (95% CI 0.66-0.98), sensitivity 0.86% and specificity 0.79%. In the cross-sectional population, prevalence of high 1HG was 36% and 15% for 133 and 155 mg/dl cutoffs, respectively, and 17% for the 159 mg/dl value. All the examined cutoffs were significantly associated with worse lipid profile, liver function test, reduced insulin sensitivity, secretion and disposition index. CONCLUSION High 1HG is marker of persistent IGT and increased risk of metabolic abnormalities in youths. The 155 mg/dl cutoff is a convenient estimate in young people but longitudinal studies with retinopathy and overt diabetes as end points are advised to verify the 1HG cutoff with the best diagnostic accuracy.
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Affiliation(s)
- L Ravà
- Clinical Epidemiology, Bambino Gesù Children's Hospital, IRCCS, Rome, Italy
| | - D Fintini
- Unit of Endocrinology, Bambino Gesù Children's Hospital, IRCCS, Rome, Italy
| | - M Mariani
- Unit of Endocrinology, Bambino Gesù Children's Hospital, IRCCS, Rome, Italy
| | - A Deodati
- Unit of Endocrinology, Bambino Gesù Children's Hospital, IRCCS, Rome, Italy
| | - E Inzaghi
- Unit of Endocrinology, Bambino Gesù Children's Hospital, IRCCS, Rome, Italy
| | - S Pedicelli
- Unit of Endocrinology, Bambino Gesù Children's Hospital, IRCCS, Rome, Italy
| | - C Bizzarri
- Unit of Endocrinology, Bambino Gesù Children's Hospital, IRCCS, Rome, Italy
| | - M Cappa
- Unit of Endocrinology, Bambino Gesù Children's Hospital, IRCCS, Rome, Italy
| | - S Cianfarani
- Department of Systems Medicine, University of Rome 'Tor Vergata', Rome, Italy
- Diabetes and Growth Disorders Unit, Bambino Gesù' Children's Hospital, IRCCS, Rome, Italy
- Department of Women's and Children's Health, Karolinska Institutet, Stockholm, Sweden
| | - M Manco
- Research Area for Multifactorial Diseases and Complex Phenotypes, Bambino Gesù Children's Hospital, IRCCS, Via F. Baldelli 38, 00146, Rome, Italy.
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13
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Brar PC, Mehta S, Brar A, Pierce KA, Albano A, Bergman M. Value of 1-Hour Plasma Glucose During an Oral Glucose Tolerance Test in a Multiethnic Cohort of Obese Children and Adolescents. Clin Med Insights Endocrinol Diabetes 2023; 16:11795514231177206. [PMID: 37323220 PMCID: PMC10262663 DOI: 10.1177/11795514231177206] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2022] [Accepted: 05/04/2023] [Indexed: 06/17/2023] Open
Abstract
One hour plasma glucose (1-hr PG) concentration during an oral glucose tolerance test (OGTT) is steadily emerging as an independent predictor of type 2 diabetes (T2D). Methods We applied the current cut off thresholds reported in the pediatric literature for the 1-hr PG, 132.5 (7.4 mmol/l) and 155 mg/dL (8.6 mmol/l) during an OGTT, to report abnormal glucose tolerance (AGT) using ROC curve analyses. We determined the empirical optimal cut point for 1-hr PG for our multi ethnic cohort using the Youden Index. Results About 1-hour and 2-hours plasma glucose showed the highest predictive potential based on Areas under the curve (AUC) values of 0.91 [CI: 0.85, 0.97] and 1 [CI: 1, 1], respectively. Further comparison of the ROC curves of the 1-hour and 2-hour PG measurements as predictors of an abnormal OGTT showed that their associated AUCs differed significantly (X2(1) = 9.25, P < .05). Using 132.5 mg/dL as the cutoff point for plasma glucose at 1-hour yielded a ROC curve with an AUC of 0.796, a sensitivity of 88%, and a specificity of 71.2%. Alternatively, the cutoff point of 155 mg/dL resulted in a ROC AUC of 0.852, a sensitivity of 80%, and a specificity of 90.4%. Conclusion Our cross-sectional study affirms that the 1-hr PG can identify obese children and adolescents at increased risk for prediabetes and/or T2D with almost the same accuracy as a 2-hr PG. In our multi-ethnic cohort, a 1-hr PG ⩾ 155 mg/dL (8.6 mmol/l) serves as an optimal cut-point, using the estimation of the Youden index with AUC of 0.86 and sensitivity of 80%.We support the petition to consider the 1-hr PG as integral during an OGTT, as this adds value to the interpretation of the OGTT beyond the fasting and 2-hr PG.
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Affiliation(s)
- Preneet Cheema Brar
- Division of Endocrinology and Diabetes, Department of Pediatrics, New York University Grossman School of Medicine, New York, USA
| | - Shilpa Mehta
- Division of Endocrinology and Diabetes, Department of Pediatrics, New York Medical College, Valhalla, New York, USA
| | - Ajay Brar
- Biology and Public Health, College of Arts and Science, New York University, New York, USA
| | - Kristyn A Pierce
- Department of Pediatrics, New York University Grossman School of Medicine
| | | | - Michael Bergman
- Departments of Medicine and Population Health, Division of Endocrinology, Diabetes and Metabolism, New York University Grossman School of Medicine, New York, USA
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14
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Andellini M, Manco M, Esposito MT, Tozzi AE, Bergman M, Ritrovato M. A simulation model estimates lifetime health and economic outcomes of screening prediabetes using the 1-h plasma glucose. Acta Diabetol 2023; 60:9-17. [PMID: 36127565 DOI: 10.1007/s00592-022-01963-3] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/31/2022] [Accepted: 08/22/2022] [Indexed: 01/07/2023]
Abstract
AIMS The current method to diagnose impaired glucose tolerance (IGT) is based on the 2-h plasma glucose (2-hPG) value during a 75-g oral glucose tolerance test (OGTT). Robust evidence demonstrates that the 1-h post-load plasma glucose (1-hPG) ≥ 8.6 mmol/L in those with normal glucose tolerance is highly predictive of type 2 diabetes (T2D), micro and macrovascular complications and mortality. The aim of this study was to conduct a health economic analysis to estimate long-term cost-effectiveness of using the 1-hPG compared to the 2-hPG for screening and assessing the risk of diabetes over 35 years. The main outcome was cost per quality-adjusted life year (QALY) gained. METHODS A Monte Carlo-based Markov simulation model was developed to forecast long-term effects of two screening strategies with regards to clinical and cost-effectiveness outcomes. The base case model included 20,000 simulated patients over 35-years follow-up. Transition probabilities on disease progression, mortality, effects on preventive treatments and complications were retrieved from landmark diabetes studies. Direct medical costs were sourced from published literature and inflated to 2019 Euros. RESULTS In the lifetime analysis, the 1-hPG was projected to increase the number of years free from disease (2 years per patient); to delay the onset of T2D (1 year per patient); to reduce the incidence of T2D complications (0·6 RR-Relative Risk per patient) and to increase the QALY gained (0·58 per patient). Even if the 1-hPG diagnostic method resulted in higher initial costs associated with preventive treatment, long-term diabetes-related costs as well as complications costs were reduced leading to a lifetime saving of - 31225719.82€. The incremental cost-effectiveness ratio was - 8214.7€ per each QALY gained for the overall population. CONCLUSIONS Screening prediabetes with the 1-hPG is feasible and cost-effective resulting in reduced costs per QALY. Notwithstanding, the higher initial costs of testing with the 1-hPG compared to the 2-hPG due to incremental preventive intervention, long-term diabetes and complications costs were reduced projecting an overall cost saving of - 8214.7€ per each QALY gained.
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Affiliation(s)
- Martina Andellini
- Health Technology Assessment Unit, Bambino Gesù Children's Hospital, IRCCS, Rome, Italy
| | - Melania Manco
- Research Area for Multifactorial Diseases and Complex Phenotypes. Bambino Gesù Children's Hospital, IRCCS, Via F. Baldelli 38, 00146, Rome, Italy.
| | - Maria Teresa Esposito
- Health Technology Assessment Unit, Bambino Gesù Children's Hospital, IRCCS, Rome, Italy
| | - Alberto Eugenio Tozzi
- Research Area for Multifactorial Diseases and Complex Phenotypes. Bambino Gesù Children's Hospital, IRCCS, Via F. Baldelli 38, 00146, Rome, Italy
| | - Michael Bergman
- NYU Grossman School of Medicine, NYU Diabetes Prevention Program, Division of Endocrinology, Diabetes, Metabolism, VA New York Harbor Healthcare System, Manhattan Campus, New York, NY, 10010, USA
| | - Matteo Ritrovato
- Health Technology Assessment Unit, Bambino Gesù Children's Hospital, IRCCS, Rome, Italy
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15
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Rong L, Cheng X, Yang Z, Gong Y, Li C, Yan S, Sun B. One-hour plasma glucose as a long-term predictor of cardiovascular events and all-cause mortality in a Chinese older male population without diabetes: A 20-year retrospective and prospective study. Front Cardiovasc Med 2022; 9:947292. [PMID: 36072872 PMCID: PMC9441686 DOI: 10.3389/fcvm.2022.947292] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2022] [Accepted: 08/02/2022] [Indexed: 11/29/2022] Open
Abstract
Introduction Elevated one-hour plasma glucose (1 h-PG) during oral glucose tolerance test predicts the development of type 2 diabetes mellitus and its complications. However, to date, there have been no studies investigating the predictive values of 1 h-PG for the risk of cardiovascular diseases (CVDs) and all-cause mortality in the elderly population in China. This study aimed to evaluate and compare the effectiveness of 1 h-PG and two-hour plasma glucose (2 h-PG) to predict the risk of CVD and all-cause mortality in the Chinese elderly population. Materials and methods This retrospective and prospective cohort study was conducted using data obtained from the Chinese People’s Liberation Army General Hospital. All the non-diabetic elderly participants, who had plasma glucose measured at 0, 1, and 2 h during an OGTT (75 g glucose), were followed for 20 years. The primary outcomes were all-cause mortality, myocardial infarction, unstable angina, and stroke. Multivariate-adjusted Cox proportional hazard regression models were performed to examine the association between risk factors and outcomes and to estimate the risk of CVD and all-cause mortality based on 1 h-PG levels. Results A total of 862 non-diabetic male individuals were included. The median age was 74.0 (25th–75th percentile: 68.0–79.0) years. There were 480 CVD events and 191 deaths during 15,527 person-years of follow-up. The adjusted hazard ratio (HR) of 1 h-PG as a continuous variable was 1.097 (95% CI 1.027–1.172; P = 0.006) for CVD events and 1.196 (95% CI 1.115–1.281; P < 0.001) for higher risk of mortality. When compared with the lowest 1 h-PG tertile, the other tertiles were associated with CVD events (HR 1.464, 95% CI 1.031–2.080; P = 0.033 and HR 1.538, 95% CI 1.092–2.166; P = 0.014, for tertile 2 and tertile 3 compared with tertile 1, respectively), and the highest 1 h-PG tertile had a significantly higher risk of mortality (HR 2.384, 95% CI 1.631–3.485; P < 0.001) after full adjustment. Compared with 1 h-PG, 2 h-PG had similar abilities to predict all-cause mortality. However, 2 h-PG was less closely associated with CVD when examined in the fully adjusted model, neither as a continuous variable nor as a categorical variable. Conversely, 1 h-PG remained an independent predictor of CVD and all-cause mortality after adjusting for various traditional risk factors. Conclusion Patients with higher 1 h-PG had a significantly increased risk of CVD and all-cause mortality regardless of prediabetes status or development of diabetes at follow-up. The 1 h-PG level might be a better predictor of cardiovascular risk than the 2 h-PG level for the Chinese elderly population.
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Affiliation(s)
- Lingjun Rong
- Department of Endocrinology, Second Medical Center, Chinese People’s Liberation Army General Hospital, National Clinical Research Center for Geriatric Diseases, Beijing, China
- Department of Geriatric Endocrinology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Xiaoling Cheng
- Department of Endocrinology, Second Medical Center, Chinese People’s Liberation Army General Hospital, National Clinical Research Center for Geriatric Diseases, Beijing, China
| | - Zaigang Yang
- Department of Geriatric Endocrinology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Yanping Gong
- Department of Endocrinology, Second Medical Center, Chinese People’s Liberation Army General Hospital, National Clinical Research Center for Geriatric Diseases, Beijing, China
| | - Chunlin Li
- Department of Endocrinology, Second Medical Center, Chinese People’s Liberation Army General Hospital, National Clinical Research Center for Geriatric Diseases, Beijing, China
| | - Shuangtong Yan
- Department of Endocrinology, Second Medical Center, Chinese People’s Liberation Army General Hospital, National Clinical Research Center for Geriatric Diseases, Beijing, China
- *Correspondence: Shuangtong Yan,
| | - Banruo Sun
- Department of Endocrinology, Second Medical Center, Chinese People’s Liberation Army General Hospital, National Clinical Research Center for Geriatric Diseases, Beijing, China
- Banruo Sun,
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Olaniyi KS, Bashir AAM, Areloegbe SE, Sabinari IW, Akintayo CO, Oniyide AA, Aturamu A. Short chain fatty acid, acetate restores ovarian function in experimentally induced PCOS rat model. PLoS One 2022; 17:e0272124. [PMID: 35881588 PMCID: PMC9321379 DOI: 10.1371/journal.pone.0272124] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2022] [Accepted: 07/13/2022] [Indexed: 12/04/2022] Open
Abstract
BACKGROUND Polycystic ovarian syndrome (PCOS) is pathogenically characterized with hyperandrogenism and metabolic alterations, which often result in ovarian changes and infertility in women of reproductive age. Epigenetic changes have been linked to the development of PCOS. However, the involvement of epigenetic regulator, histone deacetylase (HDAC) in PCOS-driven ovarian dysfunction is not clear. Howbeit, the present study hypothesized that acetate, an HDAC inhibitor (HDACi) would protect against ovarian dysfunction in experimentally induced PCOS. MATERIALS AND METHODS Female Wistar rats weighing 120-150 g were randomly divided into four groups (n = 6). The groups received vehicle, sodium acetate (200 mg/kg), letrozole (1 mg/kg) and letrozole with acetate by oral gavage respectively. The administrations were done daily for 21 days. RESULTS The rat model of PCOS had increased body weight and ovarian weight, 1-hr postload glucose and plasma insulin, testosterone and LH/FSH ratio as well as reduced insulin sensitivity and plasma 17-β estradiol and sex hormone binding globulin. This model of PCOS in addition showed a significant increase in plasma and ovarian triglyceride, total cholesterol, TNF-α and HDAC, and ovarian malondialdehyde as well as a significant reduction in ovarian glutathione peroxidase/reduced glutathione and NrF2 with the histology of ovarian tissues showing disrupted morphology with significant increase in the number of degenerated follicles compared with control group. These alterations were however attenuated when treated with HDACi, acetate. CONCLUSION Altogether, the present results suggest that acetate protects ovarian function with evidence of normal growing follicles and enhanced circulating 17-β estradiol by inhibition of HDAC.
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Affiliation(s)
- Kehinde S. Olaniyi
- Department of Physiology, Cardio/Repro-metabolic and Microbiome Research Unit, College of Medicine and Health Sciences, Afe Babalola University, Ado-Ekiti, Nigeria
- HOPE Cardiometabolic Research Team & Department of Physiology, College of Health Sciences, University of Ilorin, Ilorin, Nigeria
| | - Al-amin M. Bashir
- Department of Physiology, Cardio/Repro-metabolic and Microbiome Research Unit, College of Medicine and Health Sciences, Afe Babalola University, Ado-Ekiti, Nigeria
| | - Stephanie E. Areloegbe
- Department of Physiology, Cardio/Repro-metabolic and Microbiome Research Unit, College of Medicine and Health Sciences, Afe Babalola University, Ado-Ekiti, Nigeria
| | - Isaiah W. Sabinari
- HOPE Cardiometabolic Research Team & Department of Physiology, College of Health Sciences, University of Ilorin, Ilorin, Nigeria
| | - Christopher O. Akintayo
- Department of Physiology, Cardio/Repro-metabolic and Microbiome Research Unit, College of Medicine and Health Sciences, Afe Babalola University, Ado-Ekiti, Nigeria
| | - Adesola A. Oniyide
- Department of Physiology, Cardio/Repro-metabolic and Microbiome Research Unit, College of Medicine and Health Sciences, Afe Babalola University, Ado-Ekiti, Nigeria
| | - Ayodeji Aturamu
- Department of Physiology, Cardio/Repro-metabolic and Microbiome Research Unit, College of Medicine and Health Sciences, Afe Babalola University, Ado-Ekiti, Nigeria
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17
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Ferrannini G, De Bacquer D, Gyberg V, De Backer G, Kotseva K, Mellbin LG, Risebrink R, Tuomilehto J, Wood D, Rydén L. Saving time by replacing the standardised two-hour oral glucose tolerance test with a one-hour test: Validation of a new screening algorithm in patients with coronary artery disease from the ESC-EORP EUROASPIRE V registry. Diabetes Res Clin Pract 2022; 183:109156. [PMID: 34843858 DOI: 10.1016/j.diabres.2021.109156] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/05/2021] [Revised: 11/18/2021] [Accepted: 11/22/2021] [Indexed: 11/15/2022]
Abstract
AIMS An oral glucose tolerance test (OGTT) combining fasting (FPG) and 2-hour plasma glucose (2hPG) is the most sensitive method for detecting type 2 diabetes (T2DM). Since it is considered time-consuming, we aim at validating a previously proposed screening algorithm based on a 1-hour plasma glucose (1hPG) with a 12 mmol/L threshold. METHODS Nine-hundred-eighteen patients with coronary artery disease (CAD) without known T2DM from the EUROASPIRE V cross-sectional survey underwent an OGTT. The reference for T2DM was 2hPG ≥ 11.1 mmol/L. T2DM diagnosis by HbA1c ≥ 6.5%(48 mmol/mol), FPG ≥ 7.0 mmol/L, and 1hPG ≥ 12 mmol/L were compared with the outcome of 2hPG. RESULTS Mean FPG, HbA1c and 2hPG were 6.1 mmol/L, 5.6%(38 mmol/mol) and 7.8 mmol/L respectively. Ninety-six patients (10%) were diagnosed with T2DM according to 2hPG. Using this definition, in the group with FPG < 6.5 mmol/L and 1hPG < 12 only 5 (1%) were misdiagnosed as false negatives. All patients with a FPG > 8.0 mmol/L and 1hPG > 15.0 mmol/L were identified as having T2DM. According to the algorithm, in 79% of patients T2DM could be excluded by combining FPG < 6.5 mmol/L and 1hPG < 12 mmol/L. CONCLUSIONS T2DM Screening by means of an algorithm combining FPG and 1hPG limits the demand of a 2hOGTT in 79% of CAD patients without known T2DM. HbA1c did not add to the information derived from this algorithm.
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Affiliation(s)
- Giulia Ferrannini
- Department of Medicine Solna, Karolinska Institutet, Stockholm, Sweden.
| | - Dirk De Bacquer
- Department of Public Health and Primary Care, Ghent University, Ghent, Belgium
| | - Viveca Gyberg
- Department of Medicine Solna, Karolinska Institutet, Stockholm, Sweden
| | - Guy De Backer
- Department of Public Health and Primary Care, Ghent University, Ghent, Belgium
| | - Kornelia Kotseva
- National Heart and Lung Institute, Imperial College London, UK; St Mary's Hospital, Imperial College Healthcare NHS Trust, London, UK
| | - Linda G Mellbin
- Department of Medicine Solna, Karolinska Institutet, Stockholm, Sweden; Heart and Vascular Theme, Karolinska University Hospital, Stockholm, Sweden
| | - Rebecca Risebrink
- Department of Medicine Solna, Karolinska Institutet, Stockholm, Sweden; Heart and Vascular Theme, Karolinska University Hospital, Stockholm, Sweden
| | - Jaakko Tuomilehto
- Finnish Institute for Health and Welfare, Helsinki, Finland; Diabetes Research Group, King Abdulaziz University, Jeddah, Saudi Arabia; Department of Public Health, University of Helsinki, Helsinki, Finland
| | - David Wood
- National Institute for Prevention and Cardiovascular Health, National University of Ireland, Galway, Ireland
| | - Lars Rydén
- Department of Medicine Solna, Karolinska Institutet, Stockholm, Sweden
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18
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Saunajoki A, Auvinen J, Bloigu A, Ukkola O, Keinänen-Kiukaanniemi S, Timonen M. One-hour post-load glucose improves the prediction of cardiovascular events in the OPERA study. Ann Med 2021; 53:478-484. [PMID: 33754908 PMCID: PMC7993377 DOI: 10.1080/07853890.2021.1902557] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/06/2020] [Accepted: 03/08/2021] [Indexed: 10/28/2022] Open
Abstract
BACKGROUND To estimate the ability of fasting, 1-h, and 2-h post-load glucose to predict cardiovascular outcomes. METHODS We examined a population-based study consisting of 977 middle-aged subjects who underwent an oral glucose tolerance test with glucose values measured at 0, 60, and 120 min. Participants were followed up to 24 years, and cardiovascular outcomes were collected from national registers. Predictive abilities of fasting, 1-h, and 2-h glucose were evaluated alone and in the prediction models with traditional cardiovascular risk factors using Cox proportional hazard models, the likelihood-ratio test, Harrell's concordance index and integrated discrimination improvement. RESULTS Cardiovascular endpoint occurred in 222 (22.7%) participants during a median follow-up of 19.8 years. In the prognostic models, 1-h glucose (HR 1.67, 95%CI 1.10-2.53), but not fasting or 2-h glucose, predicted cardiovascular events statistically significantly. In addition, when adding glucose parameters into the model including traditional cardiovascular risk factors, only 1-h glucose improved the predictive ability (LR-test p=.046). Finally, 1-h glucose found slightly over 50% more cardiovascular endpoints that were not recognized by fasting or 2-h glucose levels. CONCLUSIONS Our findings support the earlier ones suggesting that 1-h glucose would be a better long-term predictor of cardiovascular morbidity and mortality than fasting or 2-h glucose.KEY MESSAGESIn addition to conventional CV risk factors,1-h but not fasting or 2-h post-load glucoses seems to be an independent predictor of cardiovascular events and seems to improve the predictive ability of the traditional cardiovascular risk model.Elevated 1-hpost-load glucose finds a large number (slightly over 50%)of cardiovascular endpoints that were not recognized by fasting or 2-h post-load glucose levels.One-hour glucose seems to be a better long-term predictor of cardiovascular morbidity and mortality than fasting or 2-h post-load glucose.
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Affiliation(s)
- Anni Saunajoki
- Center for Life Course Health Research, University of Oulu, Oulu, Finland
| | - Juha Auvinen
- Center for Life Course Health Research, University of Oulu, Oulu, Finland
- Medical Research Center Oulu, Oulu University Hospital and University of Oulu, Oulu, Finland
| | - Aini Bloigu
- Center for Life Course Health Research, University of Oulu, Oulu, Finland
| | - Olavi Ukkola
- Research Unit of Internal Medicine, Medical Research Center Oulu, Oulu University Hospital and University of Oulu, Oulu, Finland
| | - Sirkka Keinänen-Kiukaanniemi
- Center for Life Course Health Research, University of Oulu, Oulu, Finland
- Healthcare and Social Services of Selänne, Pyhäjärvi, Finland
| | - Markku Timonen
- Center for Life Course Health Research, University of Oulu, Oulu, Finland
- Medical Research Center Oulu, Oulu University Hospital and University of Oulu, Oulu, Finland
- Unit of General Practice, Oulu University Hospital, Oulu, Finland
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19
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Tura A, Grespan E, Göbl CS, Koivula RW, Franks PW, Pearson ER, Walker M, Forgie IM, Giordano GN, Pavo I, Ruetten H, Dermitzakis ET, McCarthy MI, Pedersen O, Schwenk JM, Adamski J, De Masi F, Tsirigos KD, Brunak S, Viñuela A, Mahajan A, McDonald TJ, Kokkola T, Vangipurapu J, Cederberg H, Laakso M, Rutters F, Elders PJM, Koopman ADM, Beulens JW, Ridderstråle M, Hansen TH, Allin KH, Hansen T, Vestergaard H, Mari A. Profiles of Glucose Metabolism in Different Prediabetes Phenotypes, Classified by Fasting Glycemia, 2-Hour OGTT, Glycated Hemoglobin, and 1-Hour OGTT: An IMI DIRECT Study. Diabetes 2021; 70:2092-2106. [PMID: 34233929 DOI: 10.2337/db21-0227] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/18/2021] [Accepted: 06/24/2021] [Indexed: 11/13/2022]
Abstract
Differences in glucose metabolism among categories of prediabetes have not been systematically investigated. In this longitudinal study, participants (N = 2,111) underwent a 2-h 75-g oral glucose tolerance test (OGTT) at baseline and 48 months. HbA1c was also measured. We classified participants as having isolated prediabetes defect (impaired fasting glucose [IFG], impaired glucose tolerance [IGT], or HbA1c indicative of prediabetes [IA1c]), two defects (IFG+IGT, IFG+IA1c, or IGT+IA1c), or all defects (IFG+IGT+IA1c). β-Cell function (BCF) and insulin sensitivity were assessed from OGTT. At baseline, in pooling of participants with isolated defects, they showed impairment in both BCF and insulin sensitivity compared with healthy control subjects. Pooled groups with two or three defects showed progressive further deterioration. Among groups with isolated defect, those with IGT showed lower insulin sensitivity, insulin secretion at reference glucose (ISRr), and insulin secretion potentiation (P < 0.002). Conversely, those with IA1c showed higher insulin sensitivity and ISRr (P < 0.0001). Among groups with two defects, we similarly found differences in both BCF and insulin sensitivity. At 48 months, we found higher type 2 diabetes incidence for progressively increasing number of prediabetes defects (odds ratio >2, P < 0.008). In conclusion, the prediabetes groups showed differences in type/degree of glucometabolic impairment. Compared with the pooled group with isolated defects, those with double or triple defect showed progressive differences in diabetes incidence.
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Affiliation(s)
- Andrea Tura
- CNR Institute of Neuroscience, Padova, Italy
| | | | - Christian S Göbl
- Division of Obstetrics and Feto-Maternal Medicine, Department of Obstetrics and Gynecology, Medical University of Vienna, Vienna, Austria
| | - Robert W Koivula
- Oxford Centre for Diabetes Endocrinology and Metabolism, University of Oxford, Oxford, U.K
- Genetic and Molecular Epidemiology, Department of Clinical Science, Lund University, Skåne University Hospital Malmö, Malmö, Sweden
| | - Paul W Franks
- Genetic and Molecular Epidemiology, Department of Clinical Science, Lund University, Skåne University Hospital Malmö, Malmö, Sweden
| | - Ewan R Pearson
- Population Health and Genomics, Ninewells Hospital and Medical School, University of Dundee, Dundee, Scotland, U.K
| | - Mark Walker
- Institute of Cellular Medicine, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, U.K
| | - Ian M Forgie
- Population Health and Genomics, Ninewells Hospital and Medical School, University of Dundee, Dundee, Scotland, U.K
| | - Giuseppe N Giordano
- Genetic and Molecular Epidemiology, Department of Clinical Science, Lund University, Skåne University Hospital Malmö, Malmö, Sweden
| | - Imre Pavo
- Eli Lilly Regional Operations Ges.m.b.H., Vienna, Austria
| | - Hartmut Ruetten
- CardioMetabolism & Respiratory Medicine, Boehringer Ingelheim International GmbH, Ingelheim/Rhein, Germany
| | - Emmanouil T Dermitzakis
- Department of Genetic Medicine and Development, University of Geneva Medical School, Geneva, Switzerland
| | - Mark I McCarthy
- Oxford Centre for Diabetes Endocrinology and Metabolism, University of Oxford, Oxford, U.K
- Wellcome Centre for Human Genetics, University of Oxford, Oxford, U.K
| | - Oluf Pedersen
- Section of Metabolic Genetics, Novo Nordisk Center for Basic Metabolic Research, Faculty of Health and Medical Science, University of Copenhagen, Copenhagen, Denmark
| | - Jochen M Schwenk
- Affinity Proteomics, Science for Life Laboratory, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH Royal Institute of Technology, Solna, Sweden
| | - Jerzy Adamski
- Institute of Experimental Genetics, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany
- Department of Biochemistry, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
- Institute of Biochemistry, Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia
| | - Federico De Masi
- Section for Bioinformatics, Department of Health Technology, Technical University of Denmark, Kongens Lyngby, Denmark
- Disease Systems Biology Program, Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Konstantinos D Tsirigos
- Section for Bioinformatics, Department of Health Technology, Technical University of Denmark, Kongens Lyngby, Denmark
- Disease Systems Biology Program, Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Søren Brunak
- Section for Bioinformatics, Department of Health Technology, Technical University of Denmark, Kongens Lyngby, Denmark
- Disease Systems Biology Program, Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Ana Viñuela
- Department of Genetic Medicine and Development, University of Geneva Medical School, Geneva, Switzerland
- Biosciences Institute, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, U.K
| | - Anubha Mahajan
- Wellcome Centre for Human Genetics, University of Oxford, Oxford, U.K
| | - Timothy J McDonald
- Blood Sciences, Royal Devon and Exeter NHS Foundation Trust, Exeter, U.K
| | - Tarja Kokkola
- Internal Medicine, Institute of Clinical Medicine, University of Eastern Finland, Kuopio, Finland
| | - Jagadish Vangipurapu
- Internal Medicine, Institute of Clinical Medicine, University of Eastern Finland, Kuopio, Finland
| | - Henna Cederberg
- Internal Medicine, Institute of Clinical Medicine, University of Eastern Finland, Kuopio, Finland
| | - Markku Laakso
- Internal Medicine, Institute of Clinical Medicine, University of Eastern Finland, Kuopio, Finland
| | - Femke Rutters
- Department of Epidemiology and Data Science, Amsterdam Medical Centre, location VUMC, Amsterdam, the Netherlands
| | - Petra J M Elders
- Department of Epidemiology and Data Science, Amsterdam Medical Centre, location VUMC, Amsterdam, the Netherlands
| | - Anitra D M Koopman
- Department of Epidemiology and Data Science, Amsterdam Medical Centre, location VUMC, Amsterdam, the Netherlands
| | - Joline W Beulens
- Department of Epidemiology and Data Science, Amsterdam Medical Centre, location VUMC, Amsterdam, the Netherlands
| | - Martin Ridderstråle
- Department of Clinical Sciences, Diabetes & Endocrinology Unit, Lund University, Skåne University Hospital Malmö, Malmö, Sweden
| | - Tue H Hansen
- Section of Metabolic Genetics, Novo Nordisk Center for Basic Metabolic Research, Faculty of Health and Medical Science, University of Copenhagen, Copenhagen, Denmark
| | - Kristine H Allin
- Section of Metabolic Genetics, Novo Nordisk Center for Basic Metabolic Research, Faculty of Health and Medical Science, University of Copenhagen, Copenhagen, Denmark
| | - Torben Hansen
- Section of Metabolic Genetics, Novo Nordisk Center for Basic Metabolic Research, Faculty of Health and Medical Science, University of Copenhagen, Copenhagen, Denmark
| | - Henrik Vestergaard
- Section of Metabolic Genetics, Novo Nordisk Center for Basic Metabolic Research, Faculty of Health and Medical Science, University of Copenhagen, Copenhagen, Denmark
- Department of Medicine, Bornholms Hospital, Rønne, Denmark
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20
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Utzschneider KM, Younes N, Rasouli N, Barzilay J, Banerji MA, Cohen RM, Gonzalez EV, Mather KJ, Ismail-Beigi F, Raskin P, Wexler DJ, Lachin JM, Kahn SE. Association of glycemia with insulin sensitivity and β-cell function in adults with early type 2 diabetes on metformin alone. J Diabetes Complications 2021; 35:107912. [PMID: 33752962 PMCID: PMC8048071 DOI: 10.1016/j.jdiacomp.2021.107912] [Citation(s) in RCA: 5] [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: 12/21/2020] [Revised: 02/17/2021] [Accepted: 03/06/2021] [Indexed: 12/31/2022]
Abstract
AIMS Evaluate the relationship between measures of glycemia with β-cell function and insulin sensitivity in adults with early type 2 diabetes mellitus (T2DM). METHODS This cross-sectional analysis evaluated baseline data from 3108 adults with T2DM <10 years treated with metformin alone enrolled in the Glycemia Reduction Approaches in Diabetes. A Comparative Effectiveness (GRADE) Study. Insulin and C-peptide responses and insulin sensitivity were calculated from 2-h oral glucose tolerance tests. Regression models evaluated the relationships between glycemic measures (HbA1c, fasting and 2-h glucose), measures of β-cell function and insulin sensitivity. RESULTS Insulin and C-peptide responses were inversely associated with insulin sensitivity. Glycemic measures were inversely associated with insulin and C-peptide responses adjusted for insulin sensitivity. HbA1c demonstrated modest associations with β-cell function (range: r - 0.22 to -0.35). Fasting and 2-h glucose were associated with early insulin and C-peptide responses (range: r - 0.37 to -0.40) as well as late insulin and total insulin and C-peptide responses (range: r - 0.50 to -0.60). CONCLUSION Glycemia is strongly associated with β-cell dysfunction in adults with early T2DM treated with metformin alone. Efforts to improve glycemia should focus on interventions aimed at improving β-cell function. This Trial is registered in Clinicaltrials.gov as NCT01794143.
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Affiliation(s)
| | - Naji Younes
- The Biostatistics Center, Department of Biostatistics and Bioinformatics, Milken Institute School of Public Health, The George Washington University, Rockville, MD
| | | | | | - Mary Ann Banerji
- State University of New York (SUNY), Downstate Medical Center; Brooklyn, NY
| | - Robert M Cohen
- University of Cincinnati and Cincinnati VA Medical Center; Cincinnati, OH
| | | | | | | | - Philip Raskin
- University of Texas – Southwestern Medical Center; Dallas, Texas
| | - Deborah J Wexler
- Diabetes Research Center, Massachusetts General Hospital, Harvard Medical School; Boston, MA
| | - John M Lachin
- The Biostatistics Center, Department of Biostatistics and Bioinformatics, Milken Institute School of Public Health, The George Washington University, Rockville, MD
| | - Steven E Kahn
- VA Puget Sound Health Care System and University of Washington; Seattle, WA
| | - GRADE Research Group
- A Listing of GRADE Research Group Members is available on the GRADE Study Webpage: https://grade.bsc.gwu.edu/ancillary-study-info
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21
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Rong L, Luo N, Gong Y, Tian H, Sun B, Li C. One-hour plasma glucose concentration can identify elderly Chinese male subjects at high risk for future type 2 diabetes mellitus: A 20-year retrospective and prospective study. Diabetes Res Clin Pract 2021; 173:108683. [PMID: 33607161 DOI: 10.1016/j.diabres.2021.108683] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/29/2020] [Revised: 01/08/2021] [Accepted: 01/20/2021] [Indexed: 01/19/2023]
Abstract
AIM There have been few reports regarding the association between 1 h-PG concentration and type 2 diabetes mellitus (T2DM) in the elderly. This study was performed to assess the efficacy of 1 h-PG and 2 h-PG values in predicting future risk of T2DM in elderly. METHODS The study population consisted of 928 male volunteers ≥ 55 years old without diabetes who were involved in a retrospective-prospective cohort study over 20 years with a baseline fasting plasma glucose (FPG) and OGTT that included measurement of 1 h-PG and 2 h-PG. The predictive capabilities of FPG and 1 h-PG, 2 h-PG values obtained during OGTT alone and added to a clinical prediction model consisting of traditional diabetes risk factors were assessed. RESULTS Overall, 577 of all the 928 study participants (62%) developed T2DM over the 20-year follow-up. 1 h-PG and 2 h-PG values predicted T2DM and remained independent predictors of T2DM after adjusting for various traditional risk factors [HR = 1.269 (95% CI = 1.214-1.327), P < 0.001; HR = 1.269 (95% CI = 1.179-1.366), P < 0.001, respectively]. C-statistics for 1-h PG (C-statistics 0.794 [95% CI 0.765-0.823]) was significantly greater than that for 2-h PG (C-statistic 0.747 [95% CI 0.716-0.779]) in models adjusting for various traditional risk factors. 1 h-PG had the greatest area under the ROC curve (AUC, 0.766), which was greater than that of 2 h-PG (0.719). CONCLUSIONS 1 h-PG is useful as a predictor of future development of T2DM independently of traditional risk factors in an elderly Chinese male population.
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Affiliation(s)
- Lingjun Rong
- Department of Endocrinology, the Second Medical Center, the People's Liberation Army General Hospital, Beijing, China
| | - Na Luo
- Department of Endocrinology, the Second Medical Center, the People's Liberation Army General Hospital, Beijing, China
| | - Yanping Gong
- Department of Endocrinology, the Second Medical Center, the People's Liberation Army General Hospital, Beijing, China; National Clinical Research Center for Geriatric Disease, the People's Liberation Army General Hospital, Beijing, China
| | - Hui Tian
- Department of Endocrinology, the Second Medical Center, the People's Liberation Army General Hospital, Beijing, China
| | - Banruo Sun
- Department of Endocrinology, the Second Medical Center, the People's Liberation Army General Hospital, Beijing, China; National Clinical Research Center for Geriatric Disease, the People's Liberation Army General Hospital, Beijing, China.
| | - Chunlin Li
- Department of Endocrinology, the Second Medical Center, the People's Liberation Army General Hospital, Beijing, China; National Clinical Research Center for Geriatric Disease, the People's Liberation Army General Hospital, Beijing, China.
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22
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Succurro E, Fraticelli F, Franzago M, Fiorentino TV, Andreozzi F, Vitacolonna E, Sesti G. Hyperglycemia at 1h-OGTT in Pregnancy: A Reliable Predictor of Metabolic Outcomes? Front Endocrinol (Lausanne) 2021; 12:612829. [PMID: 34108933 PMCID: PMC8181723 DOI: 10.3389/fendo.2021.612829] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/30/2020] [Accepted: 05/06/2021] [Indexed: 12/14/2022] Open
Abstract
Gestational diabetes mellitus (GDM) is associated with a high risk of developing type 2 diabetes (T2DM) and cardiovascular disease (CVD). Identifying among GDM women those who are at high risk may help prevent T2DM and, possibly CVD. Several studies have shown that in women with GDM, hyperglycemia at 1 h during an oral glucose tolerance test (OGTT) (1-h PG) is not only associated with an increase in adverse maternal and perinatal outcomes but is also an independent predictor of T2DM. Interestingly, also in pregnant women who did not meet the criteria for a GDM diagnosis, 1-h PG was an independent predictor of postpartum impaired insulin sensitivity and beta-cell dysfunction. Moreover, maternal 1- and 2-h PG levels have been found to be independently associated with insulin resistance and impaired insulin secretion also during childhood. There is evidence that hyperglycemia at 1h PG during pregnancy may identify women at high risk of future CVD, due to its association with an unfavorable CV risk profile, inflammation, arterial stiffness and endothelial dysfunction. Overall, hyperglycemia at 1h during an OGTT in pregnancy may be a valuable prediction tool for identifying women at a high risk of future T2DM, who may then benefit from therapeutic strategies aimed at preventing cardiovascular outcomes.
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Affiliation(s)
- Elena Succurro
- Department of Medical and Surgical Sciences, University Magna Graecia of Catanzaro, Catanzaro, Italy
- *Correspondence: Elena Succurro,
| | - Federica Fraticelli
- Department of Medicine and Aging, School of Medicine and Health Sciences, ‘G. d'Annunzio’ University of Chieti-Pescara, Chieti, Italy
| | - Marica Franzago
- Department of Medicine and Aging, School of Medicine and Health Sciences, ‘G. d'Annunzio’ University of Chieti-Pescara, Chieti, Italy
| | - Teresa Vanessa Fiorentino
- Department of Medical and Surgical Sciences, University Magna Graecia of Catanzaro, Catanzaro, Italy
| | - Francesco Andreozzi
- Department of Medical and Surgical Sciences, University Magna Graecia of Catanzaro, Catanzaro, Italy
| | - Ester Vitacolonna
- Department of Medicine and Aging, School of Medicine and Health Sciences, ‘G. d'Annunzio’ University of Chieti-Pescara, Chieti, Italy
| | - Giorgio Sesti
- Department of Clinical and Molecular Medicine, University of Rome-Sapienza, Rome, Italy
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23
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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: 110] [Impact Index Per Article: 22.0] [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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Mengen E, Uçaktürk SA. Evaluation of the relationship between the one-hour plasma glucose concentration and beta-cell functions and cardiometabolic parameters during oral glucose tolerance test in obese children and adolescents. J Pediatr Endocrinol Metab 2020; 33:767-775. [PMID: 32447335 DOI: 10.1515/jpem-2020-0016] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/13/2020] [Accepted: 03/19/2020] [Indexed: 11/15/2022]
Abstract
Background In this study, we aimed to evaluate the relationship between the 1-h plasma glucose (PG) level in the oral glucose tolerance test (OGTT) and conventional glycemic parameters, indices evaluating beta-cell functions, and cardiometabolic risk factors. Methods The records of 532 obese patients who were followed up in the Pediatric Endocrinology Polyclinic and who underwent standard OGTT were evaluated retrospectively. All patients were divided into two groups according to OGTT data as the 1-h plasma glucose concentration <155 mg/dL (n=329) and ≥155 mg/dL (n=203). Patients with normal glucose tolerance (NGT) were divided into two groups according to the 1-h PG level, as 218 patients with NGT 1 h-low (<155 mg/dL) and 53 patients with high NGT 1 h-high (≥155 mg/dL). Results There was a statistically significant difference between the lipid profiles of individuals with NGT 1 h-low (<155 mg/dL) and individuals with NGT 1 h-high (≥155 mg/dL) (p<0.001). Total cholesterol, LDL cholesterol, and triglyceride levels were higher, while HDL cholesterol levels were lower in individuals with NGT 1 h-high (≥155 mg/dL). The indices evaluating beta-cell functions were significantly higher in individuals with NGT 1 h-low (<155 mg/dL). Conclusion As a result, a plasma glucose concentration above or equal to 155 mg/dL at 1 h during an OGTT is associated with a worse clinical phenotype characterized by changes in insulin sensitivity and β-cell function. Therefore, this threshold value can predict the progression of prediabetes in obese young people with NGT.
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Affiliation(s)
- Eda Mengen
- Department of Pediatric Endocrinology, Ankara City Hospital, Children's Hospital, Ankara, Turkey
| | - Seyit Ahmet Uçaktürk
- Department of Pediatric Endocrinology, Ankara City Hospital, Children's Hospital, Ankara, Turkey
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Lizarzaburu-Robles JC, Torres-Aparcana L, Mansilla R, Valera J, Vargas G, Vento F, Laca J, Cornetero V, Herman WH. A CROSS-SECTIONAL STUDY OF THE ASSOCIATION BETWEEN THE 1-HOUR ORAL GLUCOSE TOLERANCE TEST AND THE METABOLIC SYNDROME IN A HIGH-RISK SAMPLE WITH IMPAIRED FASTING GLUCOSE. Endocr Pract 2020; 26:529-534. [PMID: 31968195 DOI: 10.4158/ep-2019-0387] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/20/2023]
Abstract
Objective: The aim of this study was to evaluate the association between the 1-hour oral glucose tolerance test (OGTT) (≥155 mg/dL) and metabolic syndrome (MS) in a sample with previous impaired fasting glucose (IFG). Methods: Three hundred and twenty four Peruvian subjects with a history of IFG ≥100 mg/dL were selected for a cross-sectional study. They underwent a 75 g OGTT and were assigned to different groups according to the result. We evaluated the association between 1-hour OGTT and MS. Results: The mean age was 56.5 ± 12.6 years and 191 (61.5%) were female. During the OGTT, we found 28 (8.6%) subjects with diabetes, 74 (22.8%) with IGT, and 222 (68.5%) with a normal glucose tolerance test with a 2-hour glucose <140 mg/dL (NGT). In the NGT group, 124 (38.3%) had 1-hour glucose levels <155 mg/dL, while 98 (30.2%) had 1-hour glucose levels ≥155 mg/dL. Evaluating the association between the 1-hour value in the OGTT and MS, we found that subjects with a 1-hour glucose ≥155 mg/dL were more than twice as likely to have MS as those with a 1-hour glucose <155 mg/dL (odds ratio = 2.64, 95% confidence interval: 1.52 to 4.57). In addition, body mass index, fasting glycemia, triglycerides, and waist circumferences were significantly higher in subjects with 1-hour glucose levels ≥155 mg/dL compared to those with 1-hour glucose levels <155 mg/dL (P<.05). Conclusion: Among subjects with IFG, performing an OGTT was helpful to identify subjects with 1-hour glucose levels ≥155 mg/dL and NGT who were significantly more likely to have MS and a worse cardiometabolic risk profile. Abbreviations: AST = aspartate aminotransferase; BMI = body mass index; CI = confidence interval; IFG = impaired fasting glucose; IGT = impaired glucose tolerance; LDL = low-density lipoprotein; MS = metabolic syndrome; NGT = normal glucose tolerance; OGTT = oral glucose tolerance test; OR = odds ratio; T2DM = type 2 diabetes; TG = triglycerides.
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Cao L, Wang P, Luan H, Chen H, Luo C, Zhu D, Tian G. Elevated 1-h postload plasma glucose levels identify coronary heart disease patients with greater severity of coronary artery lesions and higher risk of 1-year re-admission. Diab Vasc Dis Res 2020; 17:1479164119896978. [PMID: 32000522 PMCID: PMC7510374 DOI: 10.1177/1479164119896978] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/25/2022] Open
Abstract
OBJECTIVE To investigate the relationship of 1-h postload plasma glucose during the oral glucose tolerance test with the severity of coronary artery lesions and risk of 1-year re-admission in coronary heart disease patients with normal glucose tolerance. METHODS A total of 266 consecutive coronary heart disease patients who underwent coronary angiography and had normal glucose tolerance confirmed by oral glucose tolerance test during hospitalization were prospectively enrolled and followed in two groups according to the 1-h postload plasma glucose cut-off point (1-h postload plasma glucose <155 mg/dL, n = 149 and 1-h postload plasma glucose ⩾155 mg/dL, n = 117). Angiographic severity was assessed by number of diseased vessels, lesion morphology and Gensini score. The risk of 1-year re-admission with adverse cardiovascular events after discharge was analysed. RESULTS Subjects with a 1-h postload plasma glucose ⩾155 mg/dL had higher incidence of multivessel disease and complex lesions, Gensini score and risk of 1-year re-admission than subjects with a 1-h postload plasma glucose <155 mg/dL (all p < 0.05). In the stepwise multivariate regression analysis, 1-h postload plasma glucose was the major determinant of the Gensini score. Subgroup analyses by sex showed that men with a 1-h postload plasma glucose ⩾155 mg/dL had higher incidence of complex lesions and risk of 1-year re-admission than men with a 1-h postload plasma glucose <155 mg/dL (all p < 0.05). CONCLUSION Coronary heart disease patients with normal glucose tolerance and elevated 1-h postload plasma glucose levels had a greater severity of coronary artery lesions and an increased risk of re-admission with adverse cardiovascular events, particularly in men.
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Affiliation(s)
| | | | | | | | | | | | - Gang Tian
- Gang Tian, Department of Cardiovascular Medicine, First Affiliated Hospital of Xi’an Jiaotong University, 277 Yanta West Road, Xi’an 710061, Shaanxi, P.R. China.
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Briker SM, Hormenu T, DuBose CW, Mabundo LS, Chung ST, Ha J, Sherman A, Tulloch-Reid MK, Bergman M, Sumner AE. Metabolic characteristics of Africans with normal glucose tolerance and elevated 1-hour glucose: insight from the Africans in America study. BMJ Open Diabetes Res Care 2020; 8:8/1/e000837. [PMID: 31958302 PMCID: PMC7039615 DOI: 10.1136/bmjdrc-2019-000837] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/19/2019] [Revised: 11/19/2019] [Accepted: 12/10/2019] [Indexed: 12/15/2022] Open
Abstract
INTRODUCTION Risk of insulin resistance, dyslipidemia, diabetes and cardiac death is increased in Asians and Europeans with normal glucose tolerance (NGT) and 1-hour glucose ≥8.6 mmol/L. As African descent populations often have insulin resistance but a normal lipid profile, the implications for Africans with NGT and glucose ≥8.6 mmol/L (NGT-1-hour-high) are unknown. OBJECTIVE We performed oral glucose tolerance tests (OGTTs) in 434 African born-blacks living in Washington, DC (male: 66%, age 38±10 years (mean±SD)) and determined in the NGT group if either glucometabolic or lipid profiles varied according to a 1-hour-glucose threshold of 8.6 mmol/L. METHODS Glucose tolerance category was defined by OGTT criteria. NGT was subdivided into NGT-1-hour-high (glucose ≥8.6 mmol/L) and NGT-1-hour-normal (glucose <8.6 mmol/L). Second OGTT were performed in 27% (119/434) of participants 10±7 days after the first. Matsuda Index and Oral Disposition Index measured insulin resistance and beta-cell function, respectively. Lipid profiles were obtained. Comparisons were by one-way analysis of variance with Bonferonni corrections for multiple comparisons. Duplicate tests were assessed by к-statistic. RESULTS One-hour-glucose ≥8.6 mmol/L occurred in 17% (47/272) with NGT, 72% (97/134) with pre-diabetes and in 96% (27/28) with diabetes. Both insulin resistance and beta-cell function were worse in NGT-1-hour-high than in NGT-1-hour-normal. Dyslipidemia occurred in both the diabetes and pre-diabetes groups but not in either NGT group. One-hour glucose concentration ≥8.6 mmol/L showed substantial agreement for the two OGTTs (к=0.628). CONCLUSIONS Although dyslipidemia did not occur in either NGT group, insulin resistance and beta-cell compromise were worse in NGT-1 hour-high. Subdividing the NGT group at a 1-hour glucose threshold of 8.6 mmol/L may stratify risk for diabetes in Africans.
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Affiliation(s)
- Sara M Briker
- Diabetes, Endocrinology, and Obesity Branch, National Institute of Diabetes, Digestive and Kidney Diseases (NIDDK), National Institutes of Health (NIH), Bethesda, Maryland, USA
| | - Thomas Hormenu
- Diabetes, Endocrinology, and Obesity Branch, National Institute of Diabetes, Digestive and Kidney Diseases (NIDDK), National Institutes of Health (NIH), Bethesda, Maryland, USA
| | - Christopher W DuBose
- Diabetes, Endocrinology, and Obesity Branch, National Institute of Diabetes, Digestive and Kidney Diseases (NIDDK), National Institutes of Health (NIH), Bethesda, Maryland, USA
| | - Lilian S Mabundo
- Diabetes, Endocrinology, and Obesity Branch, National Institute of Diabetes, Digestive and Kidney Diseases (NIDDK), National Institutes of Health (NIH), Bethesda, Maryland, USA
| | - Stephanie T Chung
- Diabetes, Endocrinology, and Obesity Branch, National Institute of Diabetes, Digestive and Kidney Diseases (NIDDK), National Institutes of Health (NIH), Bethesda, Maryland, USA
| | - Joon Ha
- Laboratory of Biological Modeling Medicine, National Institute of Diabetes, Digestive and Kidney Diseases (NIDDK), National Institutes of Health (NIH), Bethesda, Maryland, USA
| | - Arthur Sherman
- Laboratory of Biological Modeling Medicine, National Institute of Diabetes, Digestive and Kidney Diseases (NIDDK), National Institutes of Health (NIH), Bethesda, Maryland, USA
| | | | - Michael Bergman
- Division of Endocrinology and Metabolism, Department of Medicine and of Population Health, New York University School of Medicine, New York city, New York, USA
| | - Anne E Sumner
- Diabetes, Endocrinology, and Obesity Branch, National Institute of Diabetes, Digestive and Kidney Diseases (NIDDK), National Institutes of Health (NIH), Bethesda, Maryland, USA
- National Institute of Minority Health and Health Disparities, National Institutes of Health (NIH), Bethesda, Maryland, USA
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Abbasi F, Tern PJ, Reaven GM. Plasma glucose concentration 60 min post oral glucose load and risk of type 2 diabetes and cardiovascular disease: Pathophysiological implications. Diab Vasc Dis Res 2019; 16:337-343. [PMID: 30755013 DOI: 10.1177/1479164119827239] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/17/2022] Open
Abstract
AIM The aim of this study was to gain insight into the pathophysiological significance of elevated plasma glucose concentrations (mmol/L) 60 min post oral glucose load in apparently healthy individuals. METHODS Comparison of resistance to insulin action and associated cardio-metabolic risk factors in 490 apparently healthy persons, subdivided into those with a plasma glucose concentration 60 min following a 75-g oral glucose challenge of <8.6 versus ⩾8.6. RESULTS Insulin resistance was significantly greater in persons with normal glucose tolerance whose 60-min glucose concentration was ⩾8.6, associated with higher blood pressure, plasma concentrations of glucose, insulin, triglyceride and lower high-density lipoprotein cholesterol concentrations. Similar differences were seen in persons with impaired fasting glucose, but not in those with impaired glucose tolerance or both impaired fasting glucose and impaired glucose tolerance. The group whose 60-min glucose was <8.6 (n = 318) contained primarily persons with normal glucose tolerance (88%), whereas the majority of those whose 60-min value was ⩾8.6 (n = 172) had prediabetes (59%) and in particular combined impaired fasting glucose and impaired glucose tolerance. CONCLUSION Plasma glucose concentration of ⩾8.6 mmol/L 60 min post oral glucose identifies higher proportions of combined impaired fasting glucose and impaired glucose tolerance individuals as well as normal glucose tolerance and impaired fasting glucose individuals with a more adverse cardio-metabolic profile, contributing to observed increased overall risk of type 2 diabetes and other metabolic diseases.
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Affiliation(s)
- Fahim Abbasi
- 1 Division of Cardiovascular Medicine, Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - Paul Jw Tern
- 2 University of Cambridge School of Clinical Medicine, Cambridge, UK
| | - Gerald M Reaven
- 1 Division of Cardiovascular Medicine, Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA
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Tricò D, Mengozzi A, Frascerra S, Scozzaro MT, Mari A, Natali A. Intestinal Glucose Absorption Is a Key Determinant of 1-Hour Postload Plasma Glucose Levels in Nondiabetic Subjects. J Clin Endocrinol Metab 2019; 104:2131-2139. [PMID: 30445459 DOI: 10.1210/jc.2018-02166] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/07/2018] [Accepted: 11/02/2018] [Indexed: 12/15/2022]
Abstract
CONTEXT One-hour postload hyperglycemia, defined as 1-hour plasma glucose (1hPG) ≥ 155 mg/dL during an oral glucose tolerance test (OGTT), has been proposed as an independent predictor of type 2 diabetes. Recent evidence suggests that 1-hour hyperglycemia can be explained by enhanced duodenal glucose absorption, which in turn may increase the rate of appearance of oral glucose in the systemic circulation (RaO). However, the impact of RaO on 1hPG and 1-hour glucose excursions (incremental area under the curve calculated through the first hour after glucose ingestion; glucose iAUC1h) is still unknown. OBJECTIVE We quantified the relative contribution of postload RaO to 1hPG and glucose iAUC1h with respect to other major glucose homeostatic mechanisms in nondiabetic participants. PARTICIPANTS AND METHODS Model-derived β-cell function, insulin clearance, glucose metabolic fluxes, and peripheral and hepatic insulin sensitivity were measured during a 75-g OGTT by a double tracer method in 23 nondiabetic volunteers. RESULTS Early insulin secretion, whole-body insulin sensitivity, and plasma glucose disposal were significantly impaired in participants with 1hPG ≥ 155 mg/dL (n = 11), who also showed nominally greater RaO (19%; P = 0.10). In multivariable models, postload RaO showed an independent effect on both 1hPG and glucose iAUC1h (partial r2 = 0.26 and 0.48, respectively; P < 0.003). The relative contribution of RaO to 1hPG (23%) and glucose iAUC1h (30%) was similar to that of early insulin secretion and peripheral insulin sensitivity and greater than that of hepatic insulin sensitivity. CONCLUSIONS Our data highlight the primary role of RaO as a major determinant of 1-hour postprandial glucose excursions in nondiabetic participants.
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Affiliation(s)
- Domenico Tricò
- Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy
- Institute of Life Sciences, Sant'Anna School of Advanced Studies, Pisa, Italy
| | - Alessandro Mengozzi
- Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy
| | - Silvia Frascerra
- Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy
| | | | - Andrea Mari
- Institute of Neuroscience, National Research Council, Padua, Italy
| | - Andrea Natali
- Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy
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Bonaventura A, Montecucco F. The STOP DIABETES study: when prevention works. Acta Diabetol 2019; 56:501-504. [PMID: 30826915 DOI: 10.1007/s00592-019-01309-6] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/07/2019] [Accepted: 02/18/2019] [Indexed: 11/25/2022]
Abstract
Although many drugs are now available, a large effort is still needed to prevent diabetes. The STOP DIABETES study evaluated individuals at risk for type 2 diabetes (T2D) by a 2-h 75-g oral glucose tolerance test (OGTT). Based on the three main defective physiological responses, subjects were stratified as at low, intermediate, or high risk, and treated accordingly with lifestyle modifications and drugs. Participants at intermediate and high risk experienced the greatest reduction of T2D conversion. Interestingly, a group of individuals developing T2D presented a normal glucose tolerance at baseline, but a 1-h plasma glucose concentration > 155 mg/dL. These results are critical as prediabetes can increase the incidence of cardiovascular disease. Considering the timeframe between the first defects in glucose metabolism and the manifestation of diabetes complications, the effort to tackle the glycemic impairment as soon as possible represents an outstanding task to reduce the incidence of diabetes. Ideally, the earlier glycemic alterations are recognized, the lesser armamentarium needs to be used, and the lower is the expense in terms of drugs, complications, and related events and costs. Finally, a wealth of studies clearly demonstrated the importance of 1-h plasma glucose concentration, which has been proposed as an adjunctive diagnostic tool to detect prediabetes earlier. In conclusion, by an OGTT, a lot of individuals at risk for T2D may be detected when the central role for the 1-h plasma glucose concentration is also considered. Consequently, these subjects would be treated early and with less drugs and delay T2D complications.
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Affiliation(s)
- Aldo Bonaventura
- First Clinic of Internal Medicine, Department of Internal Medicine, University of Genoa, 6 viale Benedetto XV, 16132, Genoa, Italy.
- Division of Cardiology, Department of Internal Medicine, Pauley Heart Center, Virginia Commonwealth University, Richmond, VA, USA.
| | - Fabrizio Montecucco
- First Clinic of Internal Medicine, Department of Internal Medicine and Centre of Excellence for Biomedical Research (CEBR), University of Genoa, 6 viale Benedetto XV, 16132, Genoa, Italy
- IRCCS Ospedale Policlinico San Martino-Italian Cardiovascular Network, 10 Largo Benzi, 16132, Genoa, Italy
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Tricò D, Galderisi A, Mari A, Santoro N, Caprio S. One-hour post-load plasma glucose predicts progression to prediabetes in a multi-ethnic cohort of obese youths. Diabetes Obes Metab 2019; 21:1191-1198. [PMID: 30663201 PMCID: PMC6459710 DOI: 10.1111/dom.13640] [Citation(s) in RCA: 32] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/19/2018] [Revised: 01/15/2019] [Accepted: 01/16/2019] [Indexed: 01/11/2023]
Abstract
AIMS One-hour post-load hyperglycaemia has been proposed as an independent predictor of type 2 diabetes in adults. We examined whether 1-hour plasma glucose (1hPG) during an oral glucose tolerance test (OGTT) can predict changes in the glucose tolerance status of a multi-ethnic cohort of youths with normal glucose tolerance (NGT). MATERIALS AND METHODS A total of 202 obese youths with NGT (33.7% Caucasian, 31.1% Hispanic, 32.2% African American) underwent a 3-hour OGTT at baseline and after a 2-year follow-up period. Whole-body insulin sensitivity, insulin secretion, β-cell function and insulin clearance were estimated by modeling plasma glucose, insulin and C-peptide levels. RESULTS Obese youths with 1hPG ≥7.4 mmol/L (or 133 mg/dL; n = 83) exhibited higher body mass index (BMI), plasma triglycerides and fasting and post-load glucose concentrations than individuals with 1hPG <7.4 mmol/L. Also, 1hPG ≥7.4 mmol/L was associated with a lower disposition index (DI) (P < 0.0001) and with alterations in whole-body insulin sensitivity, β-cell function and insulin clearance. Adolescents with 1hPG ≥7.4 mmol/L were approximately three times more likely to develop prediabetes (ie, impaired glucose tolerance and/or impaired fasting glucose) over time (OR, 2.92 [1.22-6.98]; P = 0.02), independent of age, sex, race/ethnicity, BMI, insulin sensitivity, DI and plasma glucose concentrations. No differences emerged in the risk of prediabetes related to 1-hour hyperglycaemia among different ethnic groups. CONCLUSIONS A plasma glucose concentration ≥ 7.4 mmol/L at 1 hour during an OGTT is associated with a worse clinical and metabolic phenotype and may be an independent predictor of progression to prediabetes in obese youths with NGT.
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Affiliation(s)
- Domenico Tricò
- Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy
- Institute of Life Sciences, Sant’Anna School of Advanced Studies, Pisa, Italy
| | - Alfonso Galderisi
- Department of Pediatrics, Yale University School of Medicine, New Haven, CT
| | - Andrea Mari
- Institute of Neuroscience, National Research Council, Padua, Italy
| | - Nicola Santoro
- Department of Pediatrics, Yale University School of Medicine, New Haven, CT
| | - Sonia Caprio
- Department of Pediatrics, Yale University School of Medicine, New Haven, CT
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Manco M, Mari A, Petrie J, Mingrone G, Balkau B. One hour post-load plasma glucose and 3 year risk of worsening fasting and 2 hour glucose tolerance in the RISC cohort. Diabetologia 2019; 62:544-548. [PMID: 30594956 PMCID: PMC6428784 DOI: 10.1007/s00125-018-4798-5] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/03/2018] [Accepted: 11/22/2018] [Indexed: 11/26/2022]
Affiliation(s)
- Melania Manco
- Research Area for Multifactorial Diseases and Complex Phenotypes, Bambino Gesù Children's Hospital, Viale Ferdinando Baldelli 38, 00146, Rome, Italy.
| | | | - John Petrie
- Institute of Cardiovascular and Medical Sciences, BHF Glasgow Cardiovascular Research Centre, University of Glasgow, 126 University Place, Glasgow, G12 8TA, UK.
| | - Geltrude Mingrone
- Department of Internal Medicine, IRCCS Policlinico Universitario A. Gemelli, Catholic University of Sacred Heart, Rome, Italy
- Department of Diabetes, King's College London, London, UK
| | - Beverley Balkau
- CESP Centre for Research in Epidemiology and Population Health, Univ Paris-Saclay, Univ Paris Sud, Villejuif, France
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Pérez-Bautista O, Montaño M, Pérez-Padilla R, Zúñiga-Ramos J, Camacho-Priego M, Barrientos-Gutiérrez T, Buendía-Roldan I, Velasco-Torres Y, Ramos C. Women with COPD by biomass show different serum profile of adipokines, incretins, and peptide hormones than smokers. Respir Res 2018; 19:239. [PMID: 30514305 PMCID: PMC6280373 DOI: 10.1186/s12931-018-0943-4] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2018] [Accepted: 11/19/2018] [Indexed: 01/27/2023] Open
Abstract
Background The main causes of COPD are tobacco smoking (COPD-TS) and biomass smoke exposure (COPD-BS). COPD-TS is known to induce changes in adipokines, incretins, and peptide hormones, frequent biomarkers of inflammation; however, it is unknown if similar changes occur in COPD-BS. Methods Clinical and physiological characteristics, and serum concentration of C-peptide, ghrelin, GIP, GLP-1, glucagon, insulin, leptin, PAI-1, resistin, and visfatin were measured in women with COPD-BS, COPD-TS, and healthy controls. Data were compared with one-way ANOVA and Tukey’s post hoc test; nonparametric were expressed as median (interquartile ranges), with Kruskal-Wallis and Dunn’s post-hoc test. Multivariate analysis, age, BMI, MS, and FEV1% pred with levels of inflammatory mediators in COPD women. Results FEV1% pred, FVC% pred, and FEV1/FVC ratio were decremented in COPD. In COPD-TS increased C-peptide, ghrelin, GIP, GLP-1, and leptin, and reduced glucagon, PAI-1, resistin, and visfatin. In COPD-BS enlarged ghrelin, insulin, leptin, and PAI-1 comparatively with COPD-TS and control, while C-peptide and GLP-1 relatively with controls; conversely, glucagon, and resistin were reduced. Multivariate analysis showed association of ghrelin, insulin, PAI-1, and visfatin with BS exposure. Conclusions women with COPD-BS have a distinct profile of adipokines, incretins, and peptide hormones, and specifically with ghrelin, insulin, PAI-1, and visfatin related to BS exposure.
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Affiliation(s)
- Oliver Pérez-Bautista
- Departamento de Investigación en Tabaquismo y EPOC, Instituto Nacional de Enfermedades Respiratorias Ismael Cosío Villegas (INERICV), Ciudad de México, Mexico
| | - Martha Montaño
- Departamento de Investigación en Fibrosis Pulmonar, Instituto Nacional de Enfermedades Respiratorias Ismael Cosío Villegas (INERICV), Talpan 4502, C.P. 14080, Ciudad de México, Mexico
| | - Rogelio Pérez-Padilla
- Departamento de Investigación en Tabaquismo y EPOC, Instituto Nacional de Enfermedades Respiratorias Ismael Cosío Villegas (INERICV), Ciudad de México, Mexico
| | - Joaquín Zúñiga-Ramos
- Laboratorio de Inmunobiología y Genética, Instituto Nacional de Enfermedades Respiratorias Ismael Cosío Villegas (INERICV), Ciudad de México, Mexico
| | - Mariana Camacho-Priego
- Departamento de Investigación en Tabaquismo y EPOC, Instituto Nacional de Enfermedades Respiratorias Ismael Cosío Villegas (INERICV), Ciudad de México, Mexico
| | - Tonatiuh Barrientos-Gutiérrez
- Centro de Investigación en Salud Poblacional, Instituto Nacional de Salud Pública (INSP), Cuernavaca, Morelos, Mexico
| | - Ivette Buendía-Roldan
- Departamento de Investigación en Fibrosis Pulmonar, Instituto Nacional de Enfermedades Respiratorias Ismael Cosío Villegas (INERICV), Talpan 4502, C.P. 14080, Ciudad de México, Mexico
| | - Yadira Velasco-Torres
- Doctorado en Ciencias Biológicas y de la Salud, Universidad Autónoma Metropolitana-Xochimilco (UAMX), Ciudad de México, Mexico
| | - Carlos Ramos
- Departamento de Investigación en Fibrosis Pulmonar, Instituto Nacional de Enfermedades Respiratorias Ismael Cosío Villegas (INERICV), Talpan 4502, C.P. 14080, Ciudad de México, Mexico.
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Bergman M, Manco M, Sesti G, Dankner R, Pareek M, Jagannathan R, Chetrit A, Abdul-Ghani M, Buysschaert M, Olsen MH, Nilsson PM, Medina JL, Roth J, Groop L, Del Prato S, Raz I, Ceriello A. Petition to replace current OGTT criteria for diagnosing prediabetes with the 1-hour post-load plasma glucose ≥ 155 mg/dl (8.6 mmol/L). Diabetes Res Clin Pract 2018; 146:18-33. [PMID: 30273707 DOI: 10.1016/j.diabres.2018.09.017] [Citation(s) in RCA: 70] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/24/2018] [Accepted: 09/25/2018] [Indexed: 02/08/2023]
Abstract
Many individuals with prediabetes, as presently defined, will progress to diabetes (T2D) despite the considerable benefit of lifestyle modification. Therefore, it is paramount to screen individuals at increased risk with a more sensitive method capable of identifying prediabetes at an even earlier time point in the lengthy trajectory to T2D. This petition reviews findings demonstrating that the 1-hour (1-h) postload plasma glucose (PG) ≥ 155 mg/dl (8.6 mmol/L) in those with normal glucose tolerance (NGT) during an oral glucose tolerance test (OGTT) is highly predictive for detecting progression to T2D, micro- and macrovascular complications and mortality in individuals at increased risk. Furthermore, the STOP DIABETES Study documented effective interventions that reduce the future risk of T2D in those with NGT and a 1-h PG ≥ 155 mg/dl (8·6 mmol/L). The 1-h OGTT represents a valuable opportunity to extend the proven benefit of diabetes prevention to the sizeable and growing population of individuals at increased risk of progression to T2D. The substantial evidence provided in this petition strongly supports redefining current diagnostic criteria for prediabetes with the elevated 1-h PG level. The authors therefore advocate a 1-h OGTT to detect prediabetes and hence, thwart the global diabetes epidemic.
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Affiliation(s)
- Michael Bergman
- NYU School of Medicine, Department of Medicine and of Population Health, Division of Endocrinology and Metabolism, NYU Langone Diabetes Prevention Program, New York, NY, USA.
| | - Melania Manco
- Research Unit for Multifactorial Diseases and Complex Phenotypes, Bambino Gesù Children Hospital, IRCCS (Istituto di Ricovero e Cura a Carattere Scientifico), Rome, Italy
| | - Giorgio Sesti
- Department of Medical and Surgical Sciences, University Magna Græcia of Catanzaro, Catanzaro, Italy
| | - Rachel Dankner
- The Feinstein Institute for Medical Research, Manhasset, North Shore, NY, USA; Unit for Cardiovascular Epidemiology, The Gertner Institute for Epidemiology and Health Policy Research, Sheba Medical Center, Tel Hashomer, Israel; Sackler Faculty of Medicine, School of Public Health, Department of Epidemiology and Preventive Medicine, Tel Aviv University, Ramat Aviv, Tel Aviv, Israel
| | - Manan Pareek
- Centre for Individualized Medicine in Arterial Diseases (CIMA), Odense University Hospital, University of Southern Denmark, Denmark; Cardiology Section, Department of Internal Medicine, Holbaek Hospital, Holbaek, Denmark
| | - Ram Jagannathan
- Hubert Department of Global Health, Rollins School of Public Health, Emory University, 18, Atlanta, GA, USA
| | - Angela Chetrit
- Unit for Cardiovascular Epidemiology, The Gertner Institute for Epidemiology and Health Policy Research, Sheba Medical Center, Tel Hashomer, Israel
| | - Muhammad Abdul-Ghani
- Division of Diabetes, University of Texas Health Science Center at San Antonio, San Antonio, TX, USA
| | - Martin Buysschaert
- Department of Endocrinology and Diabetology, Université Catholique de Louvain, University, Clinic Saint-Luc, Brussels, Belgium
| | - Michael H Olsen
- Centre for Individualized Medicine in Arterial Diseases (CIMA), Odense University Hospital, University of Southern Denmark, Denmark; Cardiology Section, Department of Internal Medicine, Holbaek Hospital, Holbaek, Denmark
| | - Peter M Nilsson
- Department of Clinical Sciences and Lund University Diabetes Centre, Lund University, Skåne University Hospital, Malmö, Sweden
| | | | - Jesse Roth
- The Feinstein Institute for Medical Research, Manhasset, North Shore, NY, USA
| | - Leif Groop
- Lund University, Lund University Diabetes Centre, Malmö, Sweden
| | - Stefano Del Prato
- Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy
| | - Itamar Raz
- Diabetes Unit at Hadassah University Hospital, Hadassah Center for the Prevention of Diabetes, Diabetes Clinical Research Center, Jerusalem, Israel
| | - Antonio Ceriello
- Institut d'Investigacions Biomèdiques August Pi I Sunyer and Centro de Investigación Biomedica en Red de Diabetes y Enfermedades Metabólicas Asociadas, Barcelona, Spain; Department of Cardiovascular and Metabolic Diseases, Istituto Ricerca Cura Carattere Scientifico Multimedica, Sesto, San Giovanni, MI, Italy
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Nakagomi A, Sunami Y, Okada S, Fujisawa T, Kobayashi Y. Synergistic Effects of 1 h Post-Load Plasma Glucose and Smoking on Arterial Stiffness in Apparently Healthy Men: A Cross-sectional Study. J Atheroscler Thromb 2018; 26:505-512. [PMID: 30449816 PMCID: PMC6545458 DOI: 10.5551/jat.46193] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022] Open
Abstract
Aim: One-hour post-load plasma glucose (1h-PG) during an oral glucose tolerance test and smoking are associated with arterial stiffness. However, it remains unknown whether there are synergistic effects of these two factors on arterial stiffness. This study aimed to investigate the interaction between 1h-PG and smoking in relation to brachial–ankle pulse wave velocity (baPWV) in young men with normal glucose tolerance (NGT). Methods: The study included 25-, 30-, 35-, 40-, and 45-year-old non-industrial male workers (n = 2189) who underwent a detailed health check-up. Normotensive participants with NGT and taking no medication were included. Results: A univariate linear regression analysis showed that 1h-PG correlated with baPWV (r = 0.13, p < 0.001), but the correlation was not significant in the multivariate analysis (β = 0.02, p = 0.24). However, we found a significant interaction between 1h-PG levels and smoking status in relation to baPWV (p = 0.048). Therefore, further analyses were conducted in nonsmokers and smokers. A multivariate linear regression analysis revealed that 1h-PG significantly correlated with baPWV in smokers (β = 0.11, p = 0.02), but not in nonsmokers (β = 0.01, p = 0.79). The correlation remained significant even after adjustment for the number of cigarettes smoked per day (β = 0.096, p = 0.048) or the Brinkman index (β = 0.097, p = 0.043). Conclusion: A significant interaction between 1h-PG and smoking in relation to baPWV was found in apparently healthy men younger than 50 years old.
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Affiliation(s)
- Atsushi Nakagomi
- Department of Cardiovascular Medicine, Chiba University Graduate School of Medicine
| | - Yuko Sunami
- Chiba Foundation for Health Promotion & Disease Prevention
| | - Sho Okada
- Department of Cardiovascular Medicine, Chiba University Graduate School of Medicine
| | | | - Yoshio Kobayashi
- Department of Cardiovascular Medicine, Chiba University Graduate School of Medicine
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Fiorentino TV, Marini MA, Succurro E, Andreozzi F, Perticone M, Hribal ML, Sciacqua A, Perticone F, Sesti G. One-Hour Postload Hyperglycemia: Implications for Prediction and Prevention of Type 2 Diabetes. J Clin Endocrinol Metab 2018; 103:3131-3143. [PMID: 30020454 DOI: 10.1210/jc.2018-00468] [Citation(s) in RCA: 36] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/26/2018] [Accepted: 07/12/2018] [Indexed: 12/18/2022]
Abstract
CONTEXT Recently, a value of 1-hour postload glucose concentration (1-h-PG) ≥155 mg/dL (8.6 mmol/L) in individuals with normal glucose tolerance (NGT) has been found to be associated with an increased risk for future type 2 diabetes mellitus (T2DM). In this review, we analyze the implication of 1-h-PG determination in prediction of T2DM and cardiovascular disease. DESIGN A literature search was performed using MEDLINE. We included all English studies published up to February 2018 in peer-reviewed journals that examined the relationship between 1-h-PG and diabetes, cardiometabolic alterations, organ damage, and cardiovascular disease. RESULTS Several longitudinal studies have consistently shown that 1-h-PG ≥155 mg/dL can recognize individuals at increased risk for future T2DM among subjects with NGT. Additionally, we describe the pathophysiological abnormalities associated with 1-h-PG ≥155 mg/dL including impaired insulin sensitivity, β-cell dysfunction, and increased glucose intestinal absorption, which are known to be involved in T2DM pathogenesis. Importantly, numerous studies have demonstrated that a value of 1-h-PG ≥155 mg/dL in individuals with NGT is not only linked to an increased risk for future T2DM, but also able to identify those having a worse cardiovascular phenotype and an increased risk of adverse cardiovascular outcomes. CONCLUSIONS Although 1-h-PG determination is not currently recommended by the American Diabetes Association for identifying high-risk individuals, the available evidence indicates that a value of 1-h-PG ≥155 mg/dL may be a useful tool to recognize, among subjects with NGT, those at increased risk of T2DM and cardiovascular disease.
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Affiliation(s)
- Teresa Vanessa Fiorentino
- Department of Medical and Surgical Sciences, University Magna Græcia of Catanzaro, Viale Europa, Catanzaro, Italy
| | | | - Elena Succurro
- Department of Medical and Surgical Sciences, University Magna Græcia of Catanzaro, Viale Europa, Catanzaro, Italy
| | - Francesco Andreozzi
- Department of Medical and Surgical Sciences, University Magna Græcia of Catanzaro, Viale Europa, Catanzaro, Italy
| | - Maria Perticone
- Department of Experimental and Clinical Medicine, University Magna Græcia of Catanzaro, Viale Europa, Catanzaro, Italy
| | - Marta Letizia Hribal
- Department of Medical and Surgical Sciences, University Magna Græcia of Catanzaro, Viale Europa, Catanzaro, Italy
| | - Angela Sciacqua
- Department of Medical and Surgical Sciences, University Magna Græcia of Catanzaro, Viale Europa, Catanzaro, Italy
| | - Francesco Perticone
- Department of Medical and Surgical Sciences, University Magna Græcia of Catanzaro, Viale Europa, Catanzaro, Italy
| | - Giorgio Sesti
- Department of Medical and Surgical Sciences, University Magna Græcia of Catanzaro, Viale Europa, Catanzaro, Italy
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Hulman A, Witte DR, Vistisen D, Balkau B, Dekker JM, Herder C, Hatunic M, Konrad T, Færch K, Manco M. Pathophysiological Characteristics Underlying Different Glucose Response Curves: A Latent Class Trajectory Analysis From the Prospective EGIR-RISC Study. Diabetes Care 2018; 41:1740-1748. [PMID: 29853473 DOI: 10.2337/dc18-0279] [Citation(s) in RCA: 44] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/06/2018] [Accepted: 05/02/2018] [Indexed: 02/03/2023]
Abstract
OBJECTIVE Glucose measurements during an oral glucose tolerance test (OGTT) are useful in predicting diabetes and its complications. However, knowledge of the pathophysiology underlying differences in glucose curve shapes is sparse. We examined the pathophysiological characteristics that create different glucose curve patterns and studied their stability and reproducibility over 3 years of follow-up. RESEARCH DESIGN AND METHODS We analyzed data from participants without diabetes from the observational cohort from the European Group for the Study of Insulin Resistance: Relationship between Insulin Sensitivity and Cardiovascular Disease study; participants had a five-time point OGTT at baseline (n = 1,443) and after 3 years (n = 1,045). Measures of insulin sensitivity and secretion were assessed at baseline with a euglycemic-hyperinsulinemic clamp and intravenous glucose tolerance test. Heterogeneous glucose response patterns during the OGTT were identified using latent class trajectory analysis at baseline and at follow-up. Transitions between classes were analyzed with multinomial logistic regression models. RESULTS We identified four different glucose response patterns, which differed with regard to insulin sensitivity and acute insulin response, obesity, and plasma levels of lipids and inflammatory markers. Some of these associations were confirmed prospectively. Time to glucose peak was driven mainly by insulin sensitivity, whereas glucose peak size was related to both insulin sensitivity and secretion. The glucose patterns identified at follow-up were similar to those at baseline, suggesting that the latent class method is robust. We integrated our classification model into an easy-to-use online application that facilitates the assessment of glucose curve patterns for other studies. CONCLUSIONS The latent class analysis approach is a pathophysiologically insightful way to classify individuals without diabetes based on their response to glucose during an OGTT.
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Affiliation(s)
- Adam Hulman
- Department of Public Health, Aarhus University, Aarhus, Denmark .,Danish Diabetes Academy, Odense, Denmark
| | - Daniel R Witte
- Department of Public Health, Aarhus University, Aarhus, Denmark.,Danish Diabetes Academy, Odense, Denmark
| | | | - Beverley Balkau
- Centre for Research in Epidemiology and Population Health, Faculty of Medicine, University Paris-South, Paris, France.,Faculty of Medicine, University of Versailles-St. Quentin, Versailles, France.,INSERM U1018, University Paris-Saclay, Villejuif, France
| | - Jacqueline M Dekker
- Department of Epidemiology and Biostatistics, Amsterdam Public Health Research Institute, VU University Medical Center, Amsterdam, the Netherlands
| | - Christian Herder
- Institute for Clinical Diabetology, German Diabetes Center, Leibniz Center for Diabetes Research, Heinrich Heine University Düsseldorf, Düsseldorf, Germany.,German Center for Diabetes Research (DZD), München-Neuherberg, Germany
| | - Mensud Hatunic
- Department of Endocrinology, Mater Misericordiae University Hospital, University College Dublin School of Medicine, Dublin, Ireland
| | - Thomas Konrad
- Institute for Metabolic Research, Goethe University, Frankfurt am Main, Germany
| | | | - Melania Manco
- Research Unit for Multi-factorial Diseases, Obesity and Diabetes, Istituti di Ricovero e Cura a Carattere Scientifico, Bambino Gesù Children's Hospital, Rome, Italy
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Ciresi A, Giordano C. One-hour post-load plasma glucose level is associated with a worse metabolic profile in children with GH deficiency. J Endocrinol Invest 2018; 41:789-797. [PMID: 29249018 DOI: 10.1007/s40618-017-0805-9] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/11/2017] [Accepted: 12/05/2017] [Indexed: 01/13/2023]
Abstract
PURPOSE In children, the plasma glucose value at 1 h (1hPG) during OGTT higher than 132.5 mg/dl is a predictor of alterations in glucose metabolism. We aimed to metabolically characterize GHD children according to 1hPG levels. METHODS Fifty-one GHD children (35 M, 16 F; mean age 8.6 years), grouped according to 1hPG, were evaluated at diagnosis and after 12 months of GH treatment (GHT) and compared with 50 matched controls at baseline. Auxological parameters, insulin-like growth factor-1 (IGF-1), glucose and insulin during OGTT, lipid profile, the oral disposition index (DIo), the homeostasis model assessment estimate of insulin resistance (Homa-IR), and the insulin sensitivity index (ISI) were evaluated. RESULTS At baseline, 31.4% of GHD children and 12% of controls (p = 0.016) showed 1hPG ≥ 132.5 mg/dl. The first ones showed higher mean 1hPG (p = 0.025) and LDL cholesterol (p = 0.029) and lower HDL cholesterol (p = 0.014) than controls. GHD with higher 1hPG showed a significant decrease in DIo (p < 0.001) without improvement in lipid profile after GHT, compared with children with lower 1hPG. After 12 months, the higher 1hPG group showed lower ISI Matsuda (p = 0.047) and DIo (p < 0.001) than the lower 1hPG group. 1hPG levels proved to be positively correlated with Homa-IR (p = 0.010) and LDL cholesterol (p = 0.032) and negatively with ISI Matsuda (p = 0.001) and DIo (p = 0.019). The 1hPG value at baseline was the only independent variable significantly associated with DIo at 12 months (p = 0.041). CONCLUSIONS 1hPG level at baseline may be a useful tool to identify and properly follow up children with enhanced metabolic risk who probably need more surveillance during GHT.
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Affiliation(s)
- A Ciresi
- Section of Endocrinology, Biomedical Department of Internal and Specialist Medicine (DIBIMIS), University of Palermo, Piazza delle Cliniche 2, 90127, Palermo, Italy
| | - C Giordano
- Section of Endocrinology, Biomedical Department of Internal and Specialist Medicine (DIBIMIS), University of Palermo, Piazza delle Cliniche 2, 90127, Palermo, Italy.
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Jagannathan R, Buysschaert M, Medina JL, Katz K, Musleh S, Dorcely B, Bergman M. The 1-h post-load plasma glucose as a novel biomarker for diagnosing dysglycemia. Acta Diabetol 2018; 55:519-529. [PMID: 29383586 PMCID: PMC7977481 DOI: 10.1007/s00592-018-1105-3] [Citation(s) in RCA: 31] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/24/2017] [Accepted: 01/11/2018] [Indexed: 02/06/2023]
Abstract
Identifying the earliest moment for intervention to avert progression to prediabetes and diabetes in high-risk individuals is a substantial challenge. As β-cell function is already compromised in prediabetes, attention should therefore be focused on identifying high-risk individuals earlier in the so-called pre-prediabetes stage. Biomarkers to monitor progression and identify the time point at which β-cell dysfunction occurs are therefore critically needed. Large-scale population studies have consistently shown that the 1-h plasma glucose (1-h PG) ≥ 155 mg/dl (8.6 mmol/l) during the oral glucose tolerance test detected incident type 2 diabetes and associated complications earlier than fasting plasma glucose or 2-h plasma glucose levels. An elevated 1-h PG level appears to be a better alternative to HbA1c [5.7-6.4% (37-47 mmol/mol)] or traditional glucose criteria for identifying high-risk individuals at a stage when ß-cell function is substantially more intact than in prediabetes. Diagnosing high-risk individuals earlier proffers the opportunity for potentially reducing progression to diabetes, development of microvascular complications and mortality, thereby advancing benefit beyond that which has been demonstrated in global diabetes prevention programs.
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Affiliation(s)
- Ram Jagannathan
- Hubert Department of Global Health, Rollins School of Public Health, Emory University, 18, Atlanta, GA, USA
| | - Martin Buysschaert
- Department of Endocrinology and Diabetology, Université Catholique de Louvain, University Clinic Saint-Luc, Brussels, Belgium
| | | | - Karin Katz
- NYU Langone Diabetes Prevention Program, Division of Endocrinology and Metabolism, Department of Medicine, NYU School of Medicine, 530 First Avenue, Schwartz East, Suite 5E, New York, NY, 10016, USA
| | - Sarah Musleh
- NYU Langone Diabetes Prevention Program, Division of Endocrinology and Metabolism, Department of Medicine, NYU School of Medicine, 530 First Avenue, Schwartz East, Suite 5E, New York, NY, 10016, USA
| | - Brenda Dorcely
- NYU Langone Diabetes Prevention Program, Division of Endocrinology and Metabolism, Department of Medicine, NYU School of Medicine, 530 First Avenue, Schwartz East, Suite 5E, New York, NY, 10016, USA
| | - Michael Bergman
- NYU Langone Diabetes Prevention Program, Division of Endocrinology and Metabolism, Department of Medicine, NYU School of Medicine, 530 First Avenue, Schwartz East, Suite 5E, New York, NY, 10016, USA.
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Adeyanju OA, Soetan OA, Soladoye AO, Olatunji LA. Oral hormonal therapy with ethinylestradiol–levonorgestrel improves insulin resistance, obesity, and glycogen synthase kinase-3 independent of circulating mineralocorticoid in estrogen-deficient rats. Can J Physiol Pharmacol 2018; 96:577-586. [DOI: 10.1139/cjpp-2017-0630] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/28/2022]
Abstract
Estrogen deficiency has been associated with increased incidence of cardiovascular diseases , and recent clinical trials of standard formulations of hormonal therapies have not demonstrated consistent beneficial effects. Estrogen–progestin therapy has been used as exogenous estrogen to normalize depressed estrogen level during menopause. Ovariectomized rodents mimic an estrogen-deficient state in that they develop cardiometabolic dysfunction, including insulin resistance (IR). We therefore hypothesized that hormonal therapy with combined oral contraceptive steroids, ethinylestradiol–levonorgestrel (EEL), improves IR, obesity, and glycogen synthase kinase-3 (GSK-3) through reduction of circulating mineralocorticoid in ovariectomized rats. Twelve-week-old female Wistar rats were divided into 4 groups: sham-operated (SHM) and ovariectomized (OVX) rats were treated with or without EEL (1.0 μg ethinylestradiol and 5.0 μg levonorgestrel) daily for 8 weeks. Results showed that OVX or SHM + EEL treated rats had increased HOMA-IR (homeostatic model assessment of IR), 1 h postload glucose, HOMA-β, triglycerides (TG), total cholesterol (TC), TC/HDL cholesterol, TG/HDL cholesterol, plasma insulin, GSK-3, corticosterone, and aldosterone. On the other hand, OVX + EEL treatment ameliorated all these effects except that of aldosterone. Taken together, the results demonstrate that oral hormonal replacement with EEL improves IR and pancreatic β-cell function and suppresses GSK-3 and glucocorticoid independent of circulating aldosterone, suggesting a positive cardiometabolic effect of oral EEL therapy in estrogen-deficient rats.
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Affiliation(s)
- Oluwaseun A. Adeyanju
- Cardiovascular Research Laboratory, Department of Physiology, University of Ilorin, Ilorin, Nigeria
- Cardiometabolic Research Unit, Department of Physiology, Afe Babalola University, Ado-Ekiti, Ekiti State, Nigeria
| | - Olaniyi A. Soetan
- Cardiovascular Research Laboratory, Department of Physiology, University of Ilorin, Ilorin, Nigeria
| | - Ayodele O. Soladoye
- Cardiovascular Research Laboratory, Department of Physiology, University of Ilorin, Ilorin, Nigeria
| | - Lawrence A. Olatunji
- Cardiovascular Research Laboratory, Department of Physiology, University of Ilorin, Ilorin, Nigeria
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Michael OS, Olatunji LA. Ameliorative effect of nicotine exposure on insulin resistance is accompanied by decreased cardiac glycogen synthase kinase-3 and plasminogen activator inhibitor-1 during oral oestrogen-progestin therapy. Arch Physiol Biochem 2018; 124:139-148. [PMID: 28868937 DOI: 10.1080/13813455.2017.1369549] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
CONTEXT Cigarette smoking is considered to be a major risk factor for the development of diabetes and cardiovascular disease. Oestrogen-progestin combined oral contraceptive (COC) use has been associated with adverse cardiometabolic events. OBJECTIVE We hypothesized that nicotine would ameliorate insulin resistance (IR) that is accompanied by decreased cardiac glycogen synthase kinase-3 (GSK-3) and plasminogen activator inhibitor-1 (PAI-1). METHODS Female Wistar rats received (po) low-(0.1 mg/kg) or high-nicotine (1.0 mg/kg) with or without COC containing 5.0 µg levonorgestrel plus 1.0 µg ethinylestradiol daily for 8 weeks. RESULTS Data showed that COC treatment or nicotine exposure led to IR, glucose deregulation, atherogenic dyslipidemia, increased corticosterone, aldosterone, cardiac and circulating GSK-3 values and PAI-1. However, these effects with the exception of corticosterone and aldosterone were ameliorated in COC + nicotine-exposed rats. CONCLUSION Amelioration of IR induced by COC treatment is accompanied by decreased circulating PAI-1, cardiac PAI-1 and GSK-3 instead of circulating aldosterone and corticosterone.
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Affiliation(s)
- Olugbenga S Michael
- a Cardiovascular Research Laboratory, Department of Physiology , University of Ilorin, Ilorin, Nigeria
- b Hope Cardiometabolic Research Centre , Ilorin , Nigeria
- c Cardiometabolic Research Unit, Department of Physiology , College of Health sciences, Bowen University , Iwo , Nigeria
| | - Lawrence A Olatunji
- a Cardiovascular Research Laboratory, Department of Physiology , University of Ilorin, Ilorin, Nigeria
- b Hope Cardiometabolic Research Centre , Ilorin , Nigeria
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Nakagomi A, Sunami Y, Okada S, Ohno Y, Shoji T, Fujisawa T, Kobayashi Y. Association between 1-h post-load plasma glucose levels and arterial stiffness in normotensive subjects with normal glucose tolerance. Diab Vasc Dis Res 2018; 15:39-45. [PMID: 29081239 DOI: 10.1177/1479164117736509] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
OBJECTIVE To investigate the relationship between 1-h post-load plasma glucose, measured during an oral glucose tolerance test, and arterial stiffness, determined by brachial-ankle pulse-wave velocity, in normotensive subjects with normal glucose tolerance. METHODS Study subjects were non-industrial workers aged 25-55 years ( n = 8381) who underwent a regular health check-up every 5 years. We included only normotensive subjects with normal glucose tolerance based on the American Diabetes Association criteria. Subjects taking medication and having an abnormal ankle-brachial index (⩽1.0 or ⩾1.3) were excluded. The final sample comprised 4970 participants (mean age: 38.8 ± 9.4 years; women: n = 2048). RESULTS 1-h post-load plasma glucose correlated with brachial-ankle pulse-wave velocity in men ( β = 0.04, p = 0.01), but not women ( β = -0.03, p = 0.13) in multivariate linear regression analysis. We found a significant interaction between 1-h post-load plasma glucose and age in men ( p = 0.04); therefore, a subgroup analysis was performed in each 5-year age group. The correlation between 1-h post-load plasma glucose and brachial-ankle pulse-wave velocity was significant in the 55-year-old age group ( β = 0.12, p = 0.01) and neared significant in 45-year-old ( β = 0.08, p = 0.07) and 50-year-old ( β = 0.09, p = 0.07) age groups. CONCLUSION Elevated 1-h post-load plasma glucose levels were associated with arterial stiffness in normotensive, middle-aged men with normal glucose tolerance.
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Affiliation(s)
- Atsushi Nakagomi
- 1 Department of Cardiovascular Medicine, Graduate School of Medicine, Chiba University, Chiba, Japan
| | - Yuko Sunami
- 2 Chiba Foundation for Health Promotion & Disease Prevention, Chiba, Japan
| | - Sho Okada
- 1 Department of Cardiovascular Medicine, Graduate School of Medicine, Chiba University, Chiba, Japan
| | - Yuji Ohno
- 1 Department of Cardiovascular Medicine, Graduate School of Medicine, Chiba University, Chiba, Japan
| | - Toshihiro Shoji
- 1 Department of Cardiovascular Medicine, Graduate School of Medicine, Chiba University, Chiba, Japan
| | - Takehiko Fujisawa
- 2 Chiba Foundation for Health Promotion & Disease Prevention, Chiba, Japan
| | - Yoshio Kobayashi
- 1 Department of Cardiovascular Medicine, Graduate School of Medicine, Chiba University, Chiba, Japan
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Wheeler E, Marenne G, Barroso I. Genetic aetiology of glycaemic traits: approaches and insights. Hum Mol Genet 2017; 26:R172-R184. [PMID: 28977447 PMCID: PMC5886471 DOI: 10.1093/hmg/ddx293] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2017] [Revised: 07/18/2017] [Accepted: 07/21/2017] [Indexed: 12/17/2022] Open
Abstract
Glycaemic traits such as fasting and post-challenge glucose and insulin measures, as well as glycated haemoglobin (HbA1c), are used to diagnose and monitor diabetes. These traits are risk factors for cardiovascular disease even below the diabetic threshold, and their study can additionally yield insights into the pathophysiology of type 2 diabetes. To date, a diverse set of genetic approaches have led to the discovery of over 97 loci influencing glycaemic traits. In this review, we will focus on recent advances in the genetic aetiology of glycaemic traits, and the resulting biological insights. We will provide a brief overview of results ranging from common, to low- and rare-frequency variant-trait association studies, studies leveraging the diversity across populations, and studies harnessing the power of genetic and genomic approaches to gain insights into the biological underpinnings of these traits.
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Affiliation(s)
- Eleanor Wheeler
- Department of Human Genetics, Wellcome Trust Sanger Institute, Genome Campus, Hinxton, Cambridge CB10 1SA, UK
| | - Gaëlle Marenne
- Department of Human Genetics, Wellcome Trust Sanger Institute, Genome Campus, Hinxton, Cambridge CB10 1SA, UK
| | - Inês Barroso
- Department of Human Genetics, Wellcome Trust Sanger Institute, Genome Campus, Hinxton, Cambridge CB10 1SA, UK
- Metabolic Research Laboratories, Wellcome Trust-MRC Institute of Metabolic Science, University of Cambridge, Cambridge CB2 0QQ, UK
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Paddock E, Hohenadel MG, Piaggi P, Vijayakumar P, Hanson RL, Knowler WC, Krakoff J, Chang DC. One-hour and two-hour postload plasma glucose concentrations are comparable predictors of type 2 diabetes mellitus in Southwestern Native Americans. Diabetologia 2017; 60:1704-1711. [PMID: 28664298 PMCID: PMC6476564 DOI: 10.1007/s00125-017-4332-1] [Citation(s) in RCA: 34] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/02/2017] [Accepted: 05/16/2017] [Indexed: 02/06/2023]
Abstract
AIMS/HYPOTHESIS Elevated 2-h plasma glucose concentration (2 h-PG) during a 75 g OGTT predict the development of type 2 diabetes mellitus. However, 1-h plasma glucose concentration (1 h-PG) is associated with insulin secretion and may be a better predictor of type 2 diabetes. We aimed to investigate the association between 1 h-PG and 2 h-PG using gold standard methods for measuring insulin secretion and action. We also compared 1 h-PG and 2 h-PG as predictors of type 2 diabetes mellitus. METHODS This analysis included adult volunteers without diabetes, predominantly Native Americans of Southwestern heritage, who were involved in a longitudinal epidemiological study from 1965 to 2007, with a baseline OGTT that included measurement of 1 h-PG. Group 1 (n = 716) underwent an IVGTT and hyperinsulinaemic-euglycaemic clamp for measurement of acute insulin response (AIR) and insulin-stimulated glucose disposal (M), respectively. Some members of Group 1 (n = 490 of 716) and members of a second, larger, group (Group 2; n = 1946) were followed-up to assess the development of type 2 diabetes (median 9.0 and 12.8 years follow-up, respectively). RESULTS Compared with 2 h-PG (r = -0.281), 1 h-PG (r = -0.384) was more closely associated with AIR, whereas, compared with 1 h-PG (r = -0.340), 2 h-PG (r = -0.408) was more closely associated with M. Measures of 1 h-PG and 2 h-PG had similar abilities to predict type 2 diabetes, which did not change when both were included in the model. A 1 h-PG cut-off of 9.3 mmol/l provided similar levels of sensitivity and specificity as a 2 h-PG cut-off of 7.8 mmol/l; the latter is used to define impaired glucose tolerance, a recognised predictor of type 2 diabetes mellitus. CONCLUSIONS/INTERPRETATION The 1 h-PG was associated with important physiological predictors of type 2 diabetes and was as effective as 2 h-PG for predicting type 2 diabetes mellitus. The 1 h-PG is, therefore, an alternative method of identifying individuals with an elevated risk of type 2 diabetes mellitus.
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Affiliation(s)
- Ethan Paddock
- Phoenix Epidemiology and Clinical Research Branch, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, 4212 N. 16th Street, Phoenix, AZ, 85016, USA.
| | - Maximilian G Hohenadel
- Phoenix Epidemiology and Clinical Research Branch, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, 4212 N. 16th Street, Phoenix, AZ, 85016, USA
| | - Paolo Piaggi
- Phoenix Epidemiology and Clinical Research Branch, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, 4212 N. 16th Street, Phoenix, AZ, 85016, USA
| | - Pavithra Vijayakumar
- Phoenix Epidemiology and Clinical Research Branch, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, 4212 N. 16th Street, Phoenix, AZ, 85016, USA
| | - Robert L Hanson
- Phoenix Epidemiology and Clinical Research Branch, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, 4212 N. 16th Street, Phoenix, AZ, 85016, USA
| | - William C Knowler
- Phoenix Epidemiology and Clinical Research Branch, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, 4212 N. 16th Street, Phoenix, AZ, 85016, USA
| | - Jonathan Krakoff
- Phoenix Epidemiology and Clinical Research Branch, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, 4212 N. 16th Street, Phoenix, AZ, 85016, USA
| | - Douglas C Chang
- Phoenix Epidemiology and Clinical Research Branch, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, 4212 N. 16th Street, Phoenix, AZ, 85016, USA.
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Belongie KJ, Ferrannini E, Johnson K, Andrade-Gordon P, Hansen MK, Petrie JR. Identification of novel biomarkers to monitor β-cell function and enable early detection of type 2 diabetes risk. PLoS One 2017; 12:e0182932. [PMID: 28846711 PMCID: PMC5573304 DOI: 10.1371/journal.pone.0182932] [Citation(s) in RCA: 37] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2016] [Accepted: 07/26/2017] [Indexed: 12/12/2022] Open
Abstract
A decline in β-cell function is a prerequisite for the development of type 2 diabetes, yet the level of β-cell function in individuals at risk of the condition is rarely measured. This is due, in part, to the fact that current methods for assessing β-cell function are inaccurate, prone to error, labor-intensive, or affected by glucose-lowering therapy. The aim of the current study was to identify novel circulating biomarkers to monitor β-cell function and to identify individuals at high risk of developing β-cell dysfunction. In a nested case-control study from the Relationship between Insulin Sensitivity and Cardiovascular disease (RISC) cohort (n = 1157), proteomics and miRNA profiling were performed on fasting plasma samples from 43 individuals who progressed to impaired glucose tolerance (IGT) and 43 controls who maintained normal glucose tolerance (NGT) over three years. Groups were matched at baseline for age, gender, body mass index (BMI), insulin sensitivity (euglycemic clamp) and β-cell glucose sensitivity (mathematical modeling). Proteomic profiling was performed using the SomaLogic platform (Colorado, USA); miRNA expression was performed using a modified RT-PCR protocol (Regulus Therapeutics, California, USA). Results showed differentially expressed proteins and miRNAs including some with known links to type 2 diabetes, such as adiponectin, but also novel biomarkers and pathways. In cross sectional analysis at year 3, the top differentially expressed biomarkers in people with IGT/ reduced β-cell glucose sensitivity were adiponectin, alpha1-antitrypsin (known to regulate adiponectin levels), endocan, miR-181a, miR-342, and miR-323. At baseline, adiponectin, cathepsin D and NCAM.L1 (proteins expressed by pancreatic β-cells) were significantly lower in those that progressed to IGT. Many of the novel prognostic biomarker candidates were within the epithelial-mesenchymal transition (EMT) pathway: for example, Noggin, DLL4 and miR-181a. Further validation studies are required in additional clinical cohorts and in patients with type 2 diabetes, but these results identify novel pathways and biomarkers that may have utility in monitoring β-cell function and/ or predicting future decline, allowing more targeted efforts to prevent and intercept type 2 diabetes.
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Affiliation(s)
- Kirstine J. Belongie
- Cardiovascular and Metabolic Disease Research, Janssen Research & Development, Spring House, Pennsylvania, United States of America
| | | | - Kjell Johnson
- Arbor Analytics, Ann Arbor, Michigan, United States of America
| | - Patricia Andrade-Gordon
- Cardiovascular and Metabolic Disease Research, Janssen Research & Development, Spring House, Pennsylvania, United States of America
| | - Michael K. Hansen
- Cardiovascular and Metabolic Disease Research, Janssen Research & Development, Spring House, Pennsylvania, United States of America
| | - John R. Petrie
- Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, United Kingdom
- * E-mail:
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46
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Marini MA, Fiorentino TV, Andreozzi F, Mannino GC, Perticone M, Sciacqua A, Perticone F, Sesti G. Elevated 1-h post-challenge plasma glucose levels in subjects with normal glucose tolerance or impaired glucose tolerance are associated with whole blood viscosity. Acta Diabetol 2017; 54:775-784. [PMID: 28577138 DOI: 10.1007/s00592-017-1004-z] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/27/2017] [Accepted: 05/18/2017] [Indexed: 01/04/2023]
Abstract
AIM It has been suggested that glucose levels ≥155 mg/dl at 1-h during an oral glucose tolerance test (OGTT) may predict development of type 2 diabetes and cardiovascular events among adults with normal glucose tolerance (NGT 1 h-high). Studies showed a link between increased blood viscosity and type 2 diabetes. However, whether blood viscosity is associated with dysglycemic conditions such as NGT 1 h-high, impaired glucose tolerance (IGT) or impaired fasting glucose (IFG) is unsettled. METHODS 1723 non-diabetic adults underwent biochemical evaluation and OGTT. A validated formula based on hematocrit and total plasma proteins was employed to estimate whole blood viscosity. Subjects were categorized into NGT with 1 h glucose <155 mg/dL (NGT-1 h-low), NGT-1 h-high, IFG and/or IGT. RESULTS Hematocrit and blood viscosity values appeared significantly higher in individuals with NGT 1 h-high, IFG and/or IGT as compared to NGT 1 h-low subjects. Blood viscosity was significantly correlated with age, waist circumference, blood pressure, HbA1c, fasting, 1- and 2-h post-challenge insulin levels, total cholesterol and low-density lipoprotein, triglycerides, fibrinogen, white blood cell, and inversely correlated with high-density lipoprotein and insulin sensitivity. Of the four glycemic parameters, 1-h post-challenge glucose showed the strongest correlation with blood viscosity (β = 0.158, P < 0.0001) in a multivariate regression analysis model including several atherosclerosis risk factors. CONCLUSIONS Our results demonstrate a positive relationship between blood viscosity and 1-h post-challenge plasma glucose. They also suggest that a subgroup of NGT individuals with 1-h post-challenge plasma >155 mg/dl have increased blood viscosity comparable to that observed in subjects with IFG and/or IGT.
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Affiliation(s)
| | - Teresa Vanessa Fiorentino
- Department of Medical and Surgical Sciences, University Magna-Græcia of Catanzaro, Viale Europa, 88100, Catanzaro, Italy
| | - Francesco Andreozzi
- Department of Medical and Surgical Sciences, University Magna-Græcia of Catanzaro, Viale Europa, 88100, Catanzaro, Italy
| | - Gaia Chiara Mannino
- Department of Medical and Surgical Sciences, University Magna-Græcia of Catanzaro, Viale Europa, 88100, Catanzaro, Italy
| | - Maria Perticone
- Department of Medical and Surgical Sciences, University Magna-Græcia of Catanzaro, Viale Europa, 88100, Catanzaro, Italy
| | - Angela Sciacqua
- Department of Medical and Surgical Sciences, University Magna-Græcia of Catanzaro, Viale Europa, 88100, Catanzaro, Italy
| | - Francesco Perticone
- Department of Medical and Surgical Sciences, University Magna-Græcia of Catanzaro, Viale Europa, 88100, Catanzaro, Italy
| | - Giorgio Sesti
- Department of Medical and Surgical Sciences, University Magna-Græcia of Catanzaro, Viale Europa, 88100, Catanzaro, Italy.
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The importance of gene-environment interactions in human obesity. Clin Sci (Lond) 2017; 130:1571-97. [PMID: 27503943 DOI: 10.1042/cs20160221] [Citation(s) in RCA: 113] [Impact Index Per Article: 14.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2016] [Accepted: 05/23/2016] [Indexed: 12/16/2022]
Abstract
The worldwide obesity epidemic has been mainly attributed to lifestyle changes. However, who becomes obese in an obesity-prone environment is largely determined by genetic factors. In the last 20 years, important progress has been made in the elucidation of the genetic architecture of obesity. In parallel with successful gene identifications, the number of gene-environment interaction (GEI) studies has grown rapidly. This paper reviews the growing body of evidence supporting gene-environment interactions in the field of obesity. Heritability, monogenic and polygenic obesity studies provide converging evidence that obesity-predisposing genes interact with a variety of environmental, lifestyle and treatment exposures. However, some skepticism remains regarding the validity of these studies based on several issues, which include statistical modelling, confounding, low replication rate, underpowered analyses, biological assumptions and measurement precision. What follows in this review includes (1) an introduction to the study of GEI, (2) the evidence of GEI in the field of obesity, (3) an outline of the biological mechanisms that may explain these interaction effects, (4) methodological challenges associated with GEI studies and potential solutions, and (5) future directions of GEI research. Thus far, this growing body of evidence has provided a deeper understanding of GEI influencing obesity and may have tremendous applications in the emerging field of personalized medicine and individualized lifestyle recommendations.
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48
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Manco M, Nolfe G, Pataky Z, Monti L, Porcellati F, Gabriel R, Mitrakou A, Mingrone G. Shape of the OGTT glucose curve and risk of impaired glucose metabolism in the EGIR-RISC cohort. Metabolism 2017; 70:42-50. [PMID: 28403944 DOI: 10.1016/j.metabol.2017.02.007] [Citation(s) in RCA: 28] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/18/2016] [Revised: 01/27/2017] [Accepted: 02/04/2017] [Indexed: 12/11/2022]
Abstract
OBJECTIVE To study whether the shape of the oral glucose tolerance test (OGTT)-glucose curve is a stable trait over time; it is associated with differences in insulin sensitivity, ß-cell function and risk of impaired fasting glucose (IFG) and glucose tolerance (IGT) in the Relationship between Insulin Sensitivity and Cardiovascular Disease (RISC) cohort. METHODS OGTT-glucose curve shape was classified as monophasic, biphasic, triphasic and anomalous in 915 individuals. Oral glucose insulin sensitivity (OGIS), Matsuda insulin sensitivity index (ISI) and ß-cell function were assessed at baseline and 3years apart. RESULTS The OGTT-glucose curve had the same baseline shape after 3years in 540 people (59%; κ=0.115; p<0.0001). Seventy percent of the participants presented with monophasic OGTT-glucose curve shape at baseline and after 3years (percent positive agreement 0.74). Baseline monophasic shape was associated with significant increased risk of IFG (OR 1.514; 95% CI 1.084-2.116; p=0.015); biphasic shape with reduced risk of IGT (OR 0.539; 95% CI 0.310-0.936) and triphasic shape with reduced risk of IFG (OR 0.493; 95% CI 0.228-1.066; P=0.043) after 3years. Increased risks of IFG (OR 1.509; 95% CI 1.008-2.260; p=0.05) and IGT (OR 1.947; 95% CI 1.085-3.494; p=0.02) were found in people who kept stable monophasic morphology over time and in switchers from biphasic to monophasic shape (OR of IGT=3.085; 95% CI 1.377-6.912; p=0.001). CONCLUSION After 3years follow-up, the OGTT-glucose shape was stable in 59% of the RISC cohort. Shapes were associated with different OGIS and ß-cell function; persistence over time of the monophasic shape and switch from biphasic to monophasic shape with increased risk of impaired glucose metabolism.
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Affiliation(s)
- Melania Manco
- Bambino Gesu` Children's Hospital, IRCCS, Research Unit for Multi-factorial Diseases, Obesity and Diabetes, Rome, Italy.
| | - Giuseppe Nolfe
- Institute of Applied Science and Intelligent Systems "E. Caianiello" (ISASI), National Research Council of Italy-CNR, Pozzuoli, Italy.
| | - Zoltan Pataky
- Médecin-adjointe agree, Département de médecine communautaire et de premier recours; Hôpitaux Universitaires de Genève, Switzerland.
| | - Lucilla Monti
- Unità di Malattie Metaboliche Medicina 1, Istituto Scientifico San Raffaele, Milan, Italy..
| | | | | | - Asimina Mitrakou
- Department of Clinical Therapeutics, Athens University Medical School, Athens, Greece.
| | - Geltrude Mingrone
- Department of Internal Medicine, Catholic University, School of Medicine, Rome, Italy.
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Higher glomerular filtration rate is related to insulin resistance but not to obesity in a predominantly obese non-diabetic cohort. Sci Rep 2017; 7:45522. [PMID: 28368024 PMCID: PMC5377310 DOI: 10.1038/srep45522] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2016] [Accepted: 02/27/2017] [Indexed: 01/12/2023] Open
Abstract
Glomerular hyperfiltration has been associated with obesity, insulin resistance, and systolic blood pressure (SBP). However, previous studies are limited by confounders such as pre-existing diabetes or hypertension, or have used indirect measures of adiposity and insulin sensitivity (IS). Therefore, we examined the relationship between estimated glomerular filtration rate (eGFR) and IS measured by the hyperinsulinaemic euglycaemic clamp in a healthy population on no medications. We performed oral glucose tolerance test (OGTT) and measured % body fat (DEXA), BMI, blood pressure and M-value (hyperinsulinaemic euglycaemic clamp) in 104 individuals (44 females and 60 males). The majority of the study population (n = 89, 85.6%) were classified on their BMI as overweight/obese. eGFR was related to age, BMI, M-value (IS), 2-hour glucose levels post OGTT and white blood cell count (WBC) (all p < 0.05); but not to SBP (p = 0.1) or fasting glucose levels (p = 0.2). After adjustment for gender, BMI, SBP and WBC, the inverse association between eGFR and M-value (p = 0.001), and 2-hour glucose post OGTT (p = 0.02) persisted. In conclusion, although eGFR has been associated with BMI and blood pressure in previous studies, in our healthy population, eGFR was more closely related to markers of glucose metabolism (IS and 2-hour glucose post OGTT) than to BMI and blood pressure.
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50
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Hulman A, Simmons RK, Vistisen D, Tabák AG, Dekker JM, Alssema M, Rutters F, Koopman ADM, Solomon TPJ, Kirwan JP, Hansen T, Jonsson A, Gjesing AP, Eiberg H, Astrup A, Pedersen O, Sørensen TIA, Witte DR, Færch K. Heterogeneity in glucose response curves during an oral glucose tolerance test and associated cardiometabolic risk. Endocrine 2017; 55:427-434. [PMID: 27699707 DOI: 10.1007/s12020-016-1126-z] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/24/2016] [Accepted: 09/14/2016] [Indexed: 02/06/2023]
Abstract
We aimed to examine heterogeneity in glucose response curves during an oral glucose tolerance test with multiple measurements and to compare cardiometabolic risk profiles between identified glucose response curve groups. We analyzed data from 1,267 individuals without diabetes from five studies in Denmark, the Netherlands and the USA. Each study included between 5 and 11 measurements at different time points during a 2-h oral glucose tolerance test, resulting in 9,602 plasma glucose measurements. Latent class trajectories with a cubic specification for time were fitted to identify different patterns of plasma glucose change during the oral glucose tolerance test. Cardiometabolic risk factor profiles were compared between the identified groups. Using latent class trajectory analysis, five glucose response curves were identified. Despite similar fasting and 2-h values, glucose peaks and peak times varied greatly between groups, ranging from 7-12 mmol/L, and 35-70 min. The group with the lowest and earliest plasma glucose peak had the lowest estimated cardiovascular risk, while the group with the most delayed plasma glucose peak and the highest 2-h value had the highest estimated risk. One group, with normal fasting and 2-h values, exhibited an unusual profile, with the highest glucose peak and the highest proportion of smokers and men. The heterogeneity in glucose response curves and the distinct cardiometabolic risk profiles may reflect different underlying physiologies. Our results warrant more detailed studies to identify the source of the heterogeneity across the different phenotypes and whether these differences play a role in the development of type 2 diabetes and cardiovascular disease.
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Affiliation(s)
- Adam Hulman
- Department of Public Health, Section of Epidemiology, Aarhus University, Aarhus, Denmark.
- Danish Diabetes Academy, Odense, Denmark.
- Department of Medical Physics and Informatics, University of Szeged, Szeged, Hungary.
| | - Rebecca K Simmons
- Danish Diabetes Academy, Odense, Denmark
- Department of Public Health, Section of General Practice, Aarhus University, Aarhus, Denmark
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, UK
| | | | - Adam G Tabák
- 1st Department of Medicine, Semmelweis University Faculty of Medicine, Budapest, Hungary
- Department of Epidemiology and Public Health, University College London, London, UK
| | - Jacqueline M Dekker
- Department of Biostatistics and Epidemiology, VU Medical Center, Amsterdam, Netherlands
- EMGO+ Institute for Health and Care Research, VU Medical Center, Amsterdam, Netherlands
| | - Marjan Alssema
- Department of Biostatistics and Epidemiology, VU Medical Center, Amsterdam, Netherlands
- Unilever Research and Development, Vlaardingen, Netherlands
| | - Femke Rutters
- Department of Biostatistics and Epidemiology, VU Medical Center, Amsterdam, Netherlands
- EMGO+ Institute for Health and Care Research, VU Medical Center, Amsterdam, Netherlands
| | - Anitra D M Koopman
- Department of Biostatistics and Epidemiology, VU Medical Center, Amsterdam, Netherlands
- EMGO+ Institute for Health and Care Research, VU Medical Center, Amsterdam, Netherlands
| | - Thomas P J Solomon
- School of Sport, Exercise and Rehabilitation Sciences, University of Birmingham, Edgbaston, UK
- Institute for Metabolism and Systems Research, University of Birmingham, Edgbaston, UK
| | - John P Kirwan
- Department of Pathobiology, Lerner Research Institute, Cleveland Clinic, Cleveland, Ohio, USA
| | - Torben Hansen
- Novo Nordisk Foundation Center for Basic Metabolic Research, Section of Metabolic Genetics, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Anna Jonsson
- Novo Nordisk Foundation Center for Basic Metabolic Research, Section of Metabolic Genetics, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Anette Prior Gjesing
- Novo Nordisk Foundation Center for Basic Metabolic Research, Section of Metabolic Genetics, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Hans Eiberg
- Department of Cellular and Molecular Medicine, University of Copenhagen, Copenhagen, Denmark
| | - Arne Astrup
- Department of Nutrition, Exercise and Sports, University of Copenhagen, Copenhagen, Denmark
| | - Oluf Pedersen
- Novo Nordisk Foundation Center for Basic Metabolic Research, Section of Metabolic Genetics, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Thorkild I A Sørensen
- Novo Nordisk Foundation Center for Basic Metabolic Research, Section of Metabolic Genetics, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Institute of Preventive Medicine, Frederiksberg and Bispebjerg University Hospital, The Capital Region, Copenhagen, Denmark
| | - Daniel R Witte
- Department of Public Health, Section of Epidemiology, Aarhus University, Aarhus, Denmark
- Danish Diabetes Academy, Odense, Denmark
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