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Vernardis SI, Demichev V, Lemke O, Grüning NM, Messner C, White M, Pietzner M, Peluso A, Collet TH, Henning E, Gille C, Campbell A, Hayward C, Porteous DJ, Marioni RE, Mülleder M, Zelezniak A, Wareham NJ, Langenberg C, Farooqi IS, Ralser M. The Impact of Acute Nutritional Interventions on the Plasma Proteome. J Clin Endocrinol Metab 2023; 108:2087-2098. [PMID: 36658456 PMCID: PMC10348471 DOI: 10.1210/clinem/dgad031] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/27/2022] [Revised: 01/14/2023] [Accepted: 01/17/2023] [Indexed: 01/21/2023]
Abstract
CONTEXT Humans respond profoundly to changes in diet, while nutrition and environment have a great impact on population health. It is therefore important to deeply characterize the human nutritional responses. OBJECTIVE Endocrine parameters and the metabolome of human plasma are rapidly responding to acute nutritional interventions such as caloric restriction or a glucose challenge. It is less well understood whether the plasma proteome would be equally dynamic, and whether it could be a source of corresponding biomarkers. METHODS We used high-throughput mass spectrometry to determine changes in the plasma proteome of i) 10 healthy, young, male individuals in response to 2 days of acute caloric restriction followed by refeeding; ii) 200 individuals of the Ely epidemiological study before and after a glucose tolerance test at 4 time points (0, 30, 60, 120 minutes); and iii) 200 random individuals from the Generation Scotland study. We compared the proteomic changes detected with metabolome data and endocrine parameters. RESULTS Both caloric restriction and the glucose challenge substantially impacted the plasma proteome. Proteins responded across individuals or in an individual-specific manner. We identified nutrient-responsive plasma proteins that correlate with changes in the metabolome, as well as with endocrine parameters. In particular, our study highlights the role of apolipoprotein C1 (APOC1), a small, understudied apolipoprotein that was affected by caloric restriction and dominated the response to glucose consumption and differed in abundance between individuals with and without type 2 diabetes. CONCLUSION Our study identifies APOC1 as a dominant nutritional responder in humans and highlights the interdependency of acute nutritional response proteins and the endocrine system.
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Affiliation(s)
- Spyros I Vernardis
- Molecular Biology of Metabolism Laboratory, The Francis Crick Institute, London, NW1 1HT, UK
| | - Vadim Demichev
- Department of Biochemistry, Charité—Universitätsmedizin Berlin, 10117 Berlin, Germany
| | - Oliver Lemke
- Department of Biochemistry, Charité—Universitätsmedizin Berlin, 10117 Berlin, Germany
| | - Nana-Maria Grüning
- Department of Biochemistry, Charité—Universitätsmedizin Berlin, 10117 Berlin, Germany
| | - Christoph Messner
- Molecular Biology of Metabolism Laboratory, The Francis Crick Institute, London, NW1 1HT, UK
| | - Matt White
- Molecular Biology of Metabolism Laboratory, The Francis Crick Institute, London, NW1 1HT, UK
| | - Maik Pietzner
- MRC Epidemiology Unit, University of Cambridge, Cambridge, CB2 0SL, UK
- Computational Medicine, Berlin Institute of Health at Charité—Universitätsmedizin Berlin, 10117 Berlin, Germany
| | - Alina Peluso
- Molecular Biology of Metabolism Laboratory, The Francis Crick Institute, London, NW1 1HT, UK
| | - Tinh-Hai Collet
- Metabolic Research Laboratories and National Institute for Health Research Cambridge Biomedical Research Centre, Wellcome-Medical Research Council Institute of Metabolic Science, Addenbrooke's Hospital, University of Cambridge, Cambridge, CB2 0QQ, UK
- Service of Endocrinology, Diabetology, Nutrition and Therapeutic Education, Department of Medicine, Geneva University Hospitals, 1211 Geneva, Switzerland
| | - Elana Henning
- Metabolic Research Laboratories and National Institute for Health Research Cambridge Biomedical Research Centre, Wellcome-Medical Research Council Institute of Metabolic Science, Addenbrooke's Hospital, University of Cambridge, Cambridge, CB2 0QQ, UK
| | - Christoph Gille
- Department of Biochemistry, Charité—Universitätsmedizin Berlin, 10117 Berlin, Germany
| | - Archie Campbell
- Centre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, EH4 2XU, UK
| | - Caroline Hayward
- MRC Human Genetics Unit, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh EH4 2XU, UK
| | - David J Porteous
- Centre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, EH4 2XU, UK
| | - Riccardo E Marioni
- Centre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, EH4 2XU, UK
| | - Michael Mülleder
- Core Facility High Throughput Mass Spectrometry, Charité—Universitätsmedizin Berlin, 10117 Berlin, Germany
| | - Aleksej Zelezniak
- Molecular Biology of Metabolism Laboratory, The Francis Crick Institute, London, NW1 1HT, UK
- Department of Biology and Biological Engineering, Chalmers University of Technology, SE-412 96, Gothenburg, Sweden
- Institute of Biotechnology, Life Sciences Center, Vilnius University, Vilnius SE-412 96, Lithuania
- Randall Centre for Cell & Molecular Biophysics, King's College London, New Hunt's House, Guy's Campus, SE1 1UL London, UK
| | | | - Claudia Langenberg
- MRC Epidemiology Unit, University of Cambridge, Cambridge, CB2 0SL, UK
- Computational Medicine, Berlin Institute of Health at Charité—Universitätsmedizin Berlin, 10117 Berlin, Germany
- Precision Healthcare University Research Institute, Queen Mary University of London, London, E1 1HH, UK
| | - I Sadaf Farooqi
- Metabolic Research Laboratories and National Institute for Health Research Cambridge Biomedical Research Centre, Wellcome-Medical Research Council Institute of Metabolic Science, Addenbrooke's Hospital, University of Cambridge, Cambridge, CB2 0QQ, UK
| | - Markus Ralser
- Molecular Biology of Metabolism Laboratory, The Francis Crick Institute, London, NW1 1HT, UK
- Department of Biochemistry, Charité—Universitätsmedizin Berlin, 10117 Berlin, Germany
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Young KG, McGovern AP, Barroso I, Hattersley AT, Jones AG, Shields BM, Thomas NJ, Dennis JM. The impact of population-level HbA 1c screening on reducing diabetes diagnostic delay in middle-aged adults: a UK Biobank analysis. Diabetologia 2023; 66:300-309. [PMID: 36411396 PMCID: PMC9807472 DOI: 10.1007/s00125-022-05824-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/11/2022] [Accepted: 09/14/2022] [Indexed: 11/23/2022]
Abstract
AIMS/HYPOTHESIS Screening programmes can detect cases of undiagnosed diabetes earlier than symptomatic or incidental diagnosis. However, the improvement in time to diagnosis achieved by screening programmes compared with routine clinical care is unclear. We aimed to use the UK Biobank population-based study to provide the first population-based estimate of the reduction in time to diabetes diagnosis that could be achieved by HbA1c-based screening in middle-aged adults. METHODS We studied UK Biobank participants aged 40-70 years with HbA1c measured at enrolment (but not fed back to participants/clinicians) and linked primary and secondary healthcare data (n=179,923) and identified those with a pre-existing diabetes diagnosis (n=13,077, 7.3%). Among the remaining participants (n=166,846) without a diabetes diagnosis, we used an elevated enrolment HbA1c level (≥48 mmol/mol [≥6.5%]) to identify those with undiagnosed diabetes. For this group, we used Kaplan-Meier analysis to assess the time between enrolment HbA1c measurement and subsequent clinical diabetes diagnosis up to 10 years, and Cox regression to identify clinical factors associated with delayed diabetes diagnosis. RESULTS In total, 1.0% (1703/166,846) of participants without a diabetes diagnosis had undiagnosed diabetes based on calibrated HbA1c levels at UK Biobank enrolment, with a median HbA1c level of 51.3 mmol/mol (IQR 49.1-57.2) (6.8% [6.6-7.4]). These participants represented an additional 13.0% of diabetes cases in the study population relative to the 13,077 participants with a diabetes diagnosis. The median time to clinical diagnosis for those with undiagnosed diabetes was 2.2 years, with a median HbA1c at clinical diagnosis of 58.2 mmol/mol (IQR 51.0-80.0) (7.5% [6.8-9.5]). Female participants with lower HbA1c and BMI measurements at enrolment experienced the longest delay to clinical diagnosis. CONCLUSIONS/INTERPRETATION Our population-based study shows that HbA1c screening in adults aged 40-70 years can reduce the time to diabetes diagnosis by a median of 2.2 years compared with routine clinical care. The findings support the use of HbA1c screening to reduce the time for which individuals are living with undiagnosed diabetes.
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Affiliation(s)
- Katherine G Young
- Exeter Centre of Excellence in Diabetes (EXCEED), University of Exeter Medical School, Exeter, UK.
| | - Andrew P McGovern
- Exeter Centre of Excellence in Diabetes (EXCEED), University of Exeter Medical School, Exeter, UK
- Department of Diabetes and Endocrinology, Royal Devon and Exeter NHS Foundation Trust, Exeter, UK
| | - Inês Barroso
- Exeter Centre of Excellence in Diabetes (EXCEED), University of Exeter Medical School, Exeter, UK
| | - Andrew T Hattersley
- Exeter Centre of Excellence in Diabetes (EXCEED), University of Exeter Medical School, Exeter, UK
- Department of Diabetes and Endocrinology, Royal Devon and Exeter NHS Foundation Trust, Exeter, UK
| | - Angus G Jones
- Exeter Centre of Excellence in Diabetes (EXCEED), University of Exeter Medical School, Exeter, UK
- Department of Diabetes and Endocrinology, Royal Devon and Exeter NHS Foundation Trust, Exeter, UK
| | - Beverley M Shields
- Exeter Centre of Excellence in Diabetes (EXCEED), University of Exeter Medical School, Exeter, UK
| | - Nicholas J Thomas
- Exeter Centre of Excellence in Diabetes (EXCEED), University of Exeter Medical School, Exeter, UK
- Department of Diabetes and Endocrinology, Royal Devon and Exeter NHS Foundation Trust, Exeter, UK
| | - John M Dennis
- Exeter Centre of Excellence in Diabetes (EXCEED), University of Exeter Medical School, Exeter, UK
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Alhassan Z, Budgen D, Alshammari R, Al Moubayed N. Predicting Current Glycated Hemoglobin Levels in Adults From Electronic Health Records: Validation of Multiple Logistic Regression Algorithm. JMIR Med Inform 2020; 8:e18963. [PMID: 32618575 PMCID: PMC7367516 DOI: 10.2196/18963] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2020] [Revised: 05/31/2020] [Accepted: 06/04/2020] [Indexed: 12/15/2022] Open
Abstract
BACKGROUND Electronic health record (EHR) systems generate large datasets that can significantly enrich the development of medical predictive models. Several attempts have been made to investigate the effect of glycated hemoglobin (HbA1c) elevation on the prediction of diabetes onset. However, there is still a need for validation of these models using EHR data collected from different populations. OBJECTIVE The aim of this study is to perform a replication study to validate, evaluate, and identify the strengths and weaknesses of replicating a predictive model that employed multiple logistic regression with EHR data to forecast the levels of HbA1c. The original study used data from a population in the United States and this differentiated replication used a population in Saudi Arabia. METHODS A total of 3 models were developed and compared with the model created in the original study. The models were trained and tested using a larger dataset from Saudi Arabia with 36,378 records. The 10-fold cross-validation approach was used for measuring the performance of the models. RESULTS Applying the method employed in the original study achieved an accuracy of 74% to 75% when using the dataset collected from Saudi Arabia, compared with 77% obtained from using the population from the United States. The results also show a different ranking of importance for the predictors between the original study and the replication. The order of importance for the predictors with our population, from the most to the least importance, is age, random blood sugar, estimated glomerular filtration rate, total cholesterol, non-high-density lipoprotein, and body mass index. CONCLUSIONS This replication study shows that direct use of the models (calculators) created using multiple logistic regression to predict the level of HbA1c may not be appropriate for all populations. This study reveals that the weighting of the predictors needs to be calibrated to the population used. However, the study does confirm that replicating the original study using a different population can help with predicting the levels of HbA1c by using the predictors that are routinely collected and stored in hospital EHR systems.
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Affiliation(s)
- Zakhriya Alhassan
- Department of Computer Science, Durham University, Durham, United Kingdom
- Computer Science Department, College of Computer Science and Engineering, University of Jeddah, Jeddah, Saudi Arabia
| | - David Budgen
- Department of Computer Science, Durham University, Durham, United Kingdom
| | - Riyad Alshammari
- College of Public Health and Health Informatics, Health Informatics Department, King Saud bin Abdulaziz University for Health Sciences, Riyadh, Saudi Arabia
- King Abdullah International Medical Research Center, Ministry of the National Guard - Health Affairs, Riyadh, Saudi Arabia
| | - Noura Al Moubayed
- Department of Computer Science, Durham University, Durham, United Kingdom
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Manousaki D, Mitchell R, Dudding T, Haworth S, Harroud A, Forgetta V, Shah RL, Luan J, Langenberg C, Timpson NJ, Richards JB. Genome-wide Association Study for Vitamin D Levels Reveals 69 Independent Loci. Am J Hum Genet 2020; 106:327-337. [PMID: 32059762 PMCID: PMC7058824 DOI: 10.1016/j.ajhg.2020.01.017] [Citation(s) in RCA: 123] [Impact Index Per Article: 30.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2019] [Accepted: 01/22/2020] [Indexed: 12/13/2022] Open
Abstract
We aimed to increase our understanding of the genetic determinants of vitamin D levels by undertaking a large-scale genome-wide association study (GWAS) of serum 25 hydroxyvitamin D (25OHD). To do so, we used imputed genotypes from 401,460 white British UK Biobank participants with available 25OHD levels, retaining single-nucleotide polymorphisms (SNPs) with minor allele frequency (MAF) > 0.1% and imputation quality score > 0.3. We performed a linear mixed model GWAS on standardized log-transformed 25OHD, adjusting for age, sex, season of measurement, and vitamin D supplementation. These results were combined with those from a previous GWAS including 42,274 Europeans. In silico functional follow-up of the GWAS results was undertaken to identify enrichment in gene sets, pathways, and expression in tissues, and to investigate the partitioned heritability of 25OHD and its shared heritability with other traits. Using this approach, the SNP heritability of 25OHD was estimated to 16.1%. 138 conditionally independent SNPs were detected (p value < 6.6 × 10-9) among which 53 had MAF < 5%. Single variant association signals mapped to 69 distinct loci, among which 63 were previously unreported. We identified enrichment in hepatic and lipid metabolism gene pathways and enriched expression of the 25OHD genes in liver, skin, and gastrointestinal tissues. We observed partially shared heritability between 25OHD and socio-economic traits, a feature which may be mediated through time spent outdoors. Therefore, through a large 25OHD GWAS, we identified 63 loci that underline the contribution of genes outside the vitamin D canonical metabolic pathway to the genetic architecture of 25OHD.
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Affiliation(s)
- Despoina Manousaki
- Department of Human Genetics, McGill University, Montreal, QC H3A 1B1, Canada; Centre for Clinical Epidemiology, Department of Epidemiology, Lady Davis Institute for Medical Research, Jewish General Hospital, Montreal, QC H3T 1E2, Canada
| | - Ruth Mitchell
- MRC Integrative Epidemiology Unit, Department of Population Health Sciences, Bristol Medical School, University of Bristol, Bristol BS8 2BN, UK
| | - Tom Dudding
- MRC Integrative Epidemiology Unit, Department of Population Health Sciences, Bristol Medical School, University of Bristol, Bristol BS8 2BN, UK; Bristol Dental School, University of Bristol, Bristol BS8 2BN, UK
| | - Simon Haworth
- MRC Integrative Epidemiology Unit, Department of Population Health Sciences, Bristol Medical School, University of Bristol, Bristol BS8 2BN, UK; Bristol Dental School, University of Bristol, Bristol BS8 2BN, UK
| | - Adil Harroud
- Department of Neurology and Neurosurgery, McGill University, Montreal, QC H3A 2B4, Canada
| | - Vincenzo Forgetta
- Centre for Clinical Epidemiology, Department of Epidemiology, Lady Davis Institute for Medical Research, Jewish General Hospital, Montreal, QC H3T 1E2, Canada
| | - Rupal L Shah
- MRC Epidemiology Unit, University of Cambridge, Cambridge CB2 0SL, UK
| | - Jian'an Luan
- MRC Epidemiology Unit, University of Cambridge, Cambridge CB2 0SL, UK
| | | | - Nicholas J Timpson
- MRC Integrative Epidemiology Unit, Department of Population Health Sciences, Bristol Medical School, University of Bristol, Bristol BS8 2BN, UK
| | - J Brent Richards
- Department of Human Genetics, McGill University, Montreal, QC H3A 1B1, Canada; Centre for Clinical Epidemiology, Department of Epidemiology, Lady Davis Institute for Medical Research, Jewish General Hospital, Montreal, QC H3T 1E2, Canada; Department of Medicine, McGill University Montreal, QC H3G 1Y6, Canada; Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montreal, QC H3A 1A2, Canada; Department of Twin Research and Genetic Epidemiology, King's College London, London WC2R 2LS, UK.
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Shrestha S, Rasmussen SH, Pottegård A, Ängquist LH, Jess T, Allin KH, Bjerregaard LG, Baker JL. Associations between adult height and type 2 diabetes mellitus: a systematic review and meta-analysis of observational studies. J Epidemiol Community Health 2019; 73:681-688. [DOI: 10.1136/jech-2018-211567] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/09/2023]
Abstract
BackgroundAlthough short adult height is generally associated with increased risks of type 2 diabetes mellitus (T2DM), there are large inconsistencies across studies. The aims of this study were to describe and quantify currently available evidence on the association between adult height and T2DM, to examine whether the reported associations differ by sex, and to examine the shapes of the height and T2DM associations.MethodsRelevant literature was identified using PubMed (1966–May 2018), EMBASE (1947–May 2018) and Google Scholar (May 2018). We identified cross-sectional and cohort studies with original publications on human subjects, which were included in a random-effects meta-analysis.ResultsFrom 15 971 identified sources, 25 studies met the inclusion criteria for the systematic review (N=401 562 individuals). From these 25 studies, 16 (9 cross-sectional studies and 7 cohort studies) were included in the meta-analysis (n=261 496 individuals). The overall random-effects meta-analysis indicated an inverse association between adult height and T2DM (effect estimate=0.88, 95% CI 0.81 to 0.95). No sex differences in the associations between adult height and T2DM were found (effect estimate for men: 0.86, 95% CI 0.75 to 0.99; effect estimate for women: 0.90; 95% CI 0.80 to 1.01; p value for sex interaction=0.80). Due to lack of data, results on the shape of the association between height and T2DM were inconclusive.ConclusionsShorter height is associated with an increased risk of T2DM and the association does not significantly differ by sex. The currently available data are insufficient to support conclusions regarding the shape of the association between height and T2DM.Trial registration numberCRD42017062446.
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Richter B, Hemmingsen B, Metzendorf M, Takwoingi Y. Development of type 2 diabetes mellitus in people with intermediate hyperglycaemia. Cochrane Database Syst Rev 2018; 10:CD012661. [PMID: 30371961 PMCID: PMC6516891 DOI: 10.1002/14651858.cd012661.pub2] [Citation(s) in RCA: 78] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
BACKGROUND Intermediate hyperglycaemia (IH) is characterised by one or more measurements of elevated blood glucose concentrations, such as impaired fasting glucose (IFG), impaired glucose tolerance (IGT) and elevated glycosylated haemoglobin A1c (HbA1c). These levels are higher than normal but below the diagnostic threshold for type 2 diabetes mellitus (T2DM). The reduced threshold of 5.6 mmol/L (100 mg/dL) fasting plasma glucose (FPG) for defining IFG, introduced by the American Diabetes Association (ADA) in 2003, substantially increased the prevalence of IFG. Likewise, the lowering of the HbA1c threshold from 6.0% to 5.7% by the ADA in 2010 could potentially have significant medical, public health and socioeconomic impacts. OBJECTIVES To assess the overall prognosis of people with IH for developing T2DM, regression from IH to normoglycaemia and the difference in T2DM incidence in people with IH versus people with normoglycaemia. SEARCH METHODS We searched MEDLINE, Embase, ClincialTrials.gov and the International Clinical Trials Registry Platform (ICTRP) Search Portal up to December 2016 and updated the MEDLINE search in February 2018. We used several complementary search methods in addition to a Boolean search based on analytical text mining. SELECTION CRITERIA We included prospective cohort studies investigating the development of T2DM in people with IH. We used standard definitions of IH as described by the ADA or World Health Organization (WHO). We excluded intervention trials and studies on cohorts with additional comorbidities at baseline, studies with missing data on the transition from IH to T2DM, and studies where T2DM incidence was evaluated by documents or self-report only. DATA COLLECTION AND ANALYSIS One review author extracted study characteristics, and a second author checked the extracted data. We used a tailored version of the Quality In Prognosis Studies (QUIPS) tool for assessing risk of bias. We pooled incidence and incidence rate ratios (IRR) using a random-effects model to account for between-study heterogeneity. To meta-analyse incidence data, we used a method for pooling proportions. For hazard ratios (HR) and odds ratios (OR) of IH versus normoglycaemia, reported with 95% confidence intervals (CI), we obtained standard errors from these CIs and performed random-effects meta-analyses using the generic inverse-variance method. We used multivariable HRs and the model with the greatest number of covariates. We evaluated the certainty of the evidence with an adapted version of the GRADE framework. MAIN RESULTS We included 103 prospective cohort studies. The studies mainly defined IH by IFG5.6 (FPG mmol/L 5.6 to 6.9 mmol/L or 100 mg/dL to 125 mg/dL), IFG6.1 (FPG 6.1 mmol/L to 6.9 mmol/L or 110 mg/dL to 125 mg/dL), IGT (plasma glucose 7.8 mmol/L to 11.1 mmol/L or 140 mg/dL to 199 mg/dL two hours after a 75 g glucose load on the oral glucose tolerance test, combined IFG and IGT (IFG/IGT), and elevated HbA1c (HbA1c5.7: HbA1c 5.7% to 6.4% or 39 mmol/mol to 46 mmol/mol; HbA1c6.0: HbA1c 6.0% to 6.4% or 42 mmol/mol to 46 mmol/mol). The follow-up period ranged from 1 to 24 years. Ninety-three studies evaluated the overall prognosis of people with IH measured by cumulative T2DM incidence, and 52 studies evaluated glycaemic status as a prognostic factor for T2DM by comparing a cohort with IH to a cohort with normoglycaemia. Participants were of Australian, European or North American origin in 41 studies; Latin American in 7; Asian or Middle Eastern in 50; and Islanders or American Indians in 5. Six studies included children and/or adolescents.Cumulative incidence of T2DM associated with IFG5.6, IFG6.1, IGT and the combination of IFG/IGT increased with length of follow-up. Cumulative incidence was highest with IFG/IGT, followed by IGT, IFG6.1 and IFG5.6. Limited data showed a higher T2DM incidence associated with HbA1c6.0 compared to HbA1c5.7. We rated the evidence for overall prognosis as of moderate certainty because of imprecision (wide CIs in most studies). In the 47 studies reporting restitution of normoglycaemia, regression ranged from 33% to 59% within one to five years follow-up, and from 17% to 42% for 6 to 11 years of follow-up (moderate-certainty evidence).Studies evaluating the prognostic effect of IH versus normoglycaemia reported different effect measures (HRs, IRRs and ORs). Overall, the effect measures all indicated an elevated risk of T2DM at 1 to 24 years of follow-up. Taking into account the long-term follow-up of cohort studies, estimation of HRs for time-dependent events like T2DM incidence appeared most reliable. The pooled HR and the number of studies and participants for different IH definitions as compared to normoglycaemia were: IFG5.6: HR 4.32 (95% CI 2.61 to 7.12), 8 studies, 9017 participants; IFG6.1: HR 5.47 (95% CI 3.50 to 8.54), 9 studies, 2818 participants; IGT: HR 3.61 (95% CI 2.31 to 5.64), 5 studies, 4010 participants; IFG and IGT: HR 6.90 (95% CI 4.15 to 11.45), 5 studies, 1038 participants; HbA1c5.7: HR 5.55 (95% CI 2.77 to 11.12), 4 studies, 5223 participants; HbA1c6.0: HR 10.10 (95% CI 3.59 to 28.43), 6 studies, 4532 participants. In subgroup analyses, there was no clear pattern of differences between geographic regions. We downgraded the evidence for the prognostic effect of IH versus normoglycaemia to low-certainty evidence due to study limitations because many studies did not adequately adjust for confounders. Imprecision and inconsistency required further downgrading due to wide 95% CIs and wide 95% prediction intervals (sometimes ranging from negative to positive prognostic factor to outcome associations), respectively.This evidence is up to date as of 26 February 2018. AUTHORS' CONCLUSIONS Overall prognosis of people with IH worsened over time. T2DM cumulative incidence generally increased over the course of follow-up but varied with IH definition. Regression from IH to normoglycaemia decreased over time but was observed even after 11 years of follow-up. The risk of developing T2DM when comparing IH with normoglycaemia at baseline varied by IH definition. Taking into consideration the uncertainty of the available evidence, as well as the fluctuating stages of normoglycaemia, IH and T2DM, which may transition from one stage to another in both directions even after years of follow-up, practitioners should be careful about the potential implications of any active intervention for people 'diagnosed' with IH.
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Affiliation(s)
- Bernd Richter
- Institute of General Practice, Medical Faculty of the Heinrich‐Heine‐University DüsseldorfCochrane Metabolic and Endocrine Disorders GroupPO Box 101007DüsseldorfGermany40001
| | - Bianca Hemmingsen
- Institute of General Practice, Medical Faculty of the Heinrich‐Heine‐University DüsseldorfCochrane Metabolic and Endocrine Disorders GroupPO Box 101007DüsseldorfGermany40001
| | - Maria‐Inti Metzendorf
- Institute of General Practice, Medical Faculty of the Heinrich‐Heine‐University DüsseldorfCochrane Metabolic and Endocrine Disorders GroupPO Box 101007DüsseldorfGermany40001
| | - Yemisi Takwoingi
- University of BirminghamInstitute of Applied Health ResearchEdgbastonBirminghamUKB15 2TT
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Abstract
BackgroundA number of studies have examined the prevalence of diabetes mellitus and impaired glucose tolerance in general populations and in those with schizophrenia and other forms of serious mental illness.AimsTo establish whether it is possible to describe accurately comparative rates of diabetes mellitus and impaired glucose tolerance in populations of people with schizophrenia and those without mental illness.MethodReview of current literature.ResultsResearch published in the pre-neuroleptic era suggested that people with severe mental illness were at increased risk of developing glycaemic abnormalities. Recent studies appear to confirm that the prevalence of diabetes and impaired glucose tolerance may be higher in people with schizophrenia than in the general population, and suggest that patients with schizophrenia have impaired glucose tolerance even before they begin treatment.ConclusionsSchizophrenia may be a significant and independent risk factor for both diabetes and impaired glucose tolerance. Current data preclude precise estimates of the prevalence of these conditions among people with schizophrenia.
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Affiliation(s)
- Chris Bushe
- Eli Lilly & Co. Ltd, Basingstoke, University of Southampton, UK.
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Rocha N, Payne F, Huang-Doran I, Sleigh A, Fawcett K, Adams C, Stears A, Saudek V, O’Rahilly S, Barroso I, Semple RK. The metabolic syndrome- associated small G protein ARL15 plays a role in adipocyte differentiation and adiponectin secretion. Sci Rep 2017; 7:17593. [PMID: 29242557 PMCID: PMC5730586 DOI: 10.1038/s41598-017-17746-8] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2017] [Accepted: 11/30/2017] [Indexed: 02/02/2023] Open
Abstract
Common genetic variants at the ARL15 locus are associated with plasma adiponectin, insulin and HDL cholesterol concentrations, obesity, and coronary atherosclerosis. The ARL15 gene encodes a small GTP-binding protein whose function is currently unknown. In this study adipocyte-autonomous roles for ARL15 were investigated using conditional knockdown of Arl15 in murine 3T3-L1 (pre)adipocytes. Arl15 knockdown in differentiated adipocytes impaired adiponectin secretion but not adipsin secretion or insulin action, while in preadipocytes it impaired adipogenesis. In differentiated adipocytes GFP-tagged ARL15 localized predominantly to the Golgi with lower levels detected at the plasma membrane and intracellular vesicles, suggesting involvement in intracellular trafficking. Sequencing of ARL15 in 375 severely insulin resistant patients identified four rare heterozygous variants, including an early nonsense mutation in a proband with femorogluteal lipodystrophy and non classical congenital adrenal hyperplasia, and an essential splice site mutation in a proband with partial lipodystrophy and a history of childhood yolk sac tumour. No nonsense or essential splice site mutations were found in 2,479 controls, while five such variants were found in the ExAC database. These findings provide evidence that ARL15 plays a role in adipocyte differentiation and adiponectin secretion, and raise the possibility that human ARL15 haploinsufficiency predisposes to lipodystrophy.
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Affiliation(s)
- Nuno Rocha
- 0000 0004 0369 9638grid.470900.aThe University of Cambridge Metabolic Research Laboratories, Wellcome Trust-MRC Institute of Metabolic Science, Cambridge, UK ,grid.454369.9The National Institute for Health Research Cambridge Biomedical Research Centre, Cambridge, UK
| | - Felicity Payne
- 0000 0004 0606 5382grid.10306.34Wellcome Trust Sanger Institute, Wellcome Genome Campus, Hinxton, UK
| | - Isabel Huang-Doran
- 0000 0004 0369 9638grid.470900.aThe University of Cambridge Metabolic Research Laboratories, Wellcome Trust-MRC Institute of Metabolic Science, Cambridge, UK ,grid.454369.9The National Institute for Health Research Cambridge Biomedical Research Centre, Cambridge, UK
| | - Alison Sleigh
- 0000000121885934grid.5335.0Wolfson Brain Imaging Centre, University of Cambridge School of Clinical Medicine, Cambridge Biomedical Campus, Cambridge, UK ,0000 0004 0383 8386grid.24029.3dNational Institute for Health Research/Wellcome Trust Clinical Research Facility, Cambridge University Hospitals NHS Foundation Trust, Cambridge Biomedical Campus, Cambridge, UK
| | - Katherine Fawcett
- 0000 0004 0606 5382grid.10306.34Wellcome Trust Sanger Institute, Wellcome Genome Campus, Hinxton, UK
| | - Claire Adams
- 0000 0004 0369 9638grid.470900.aThe University of Cambridge Metabolic Research Laboratories, Wellcome Trust-MRC Institute of Metabolic Science, Cambridge, UK ,grid.454369.9The National Institute for Health Research Cambridge Biomedical Research Centre, Cambridge, UK
| | - Anna Stears
- 0000 0004 0383 8386grid.24029.3dWolfson Diabetes and Endocrine Clinic, Institute of Metabolic Science, Addenbrooke’s Hospital, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
| | - Vladimir Saudek
- 0000 0004 0369 9638grid.470900.aThe University of Cambridge Metabolic Research Laboratories, Wellcome Trust-MRC Institute of Metabolic Science, Cambridge, UK ,grid.454369.9The National Institute for Health Research Cambridge Biomedical Research Centre, Cambridge, UK
| | - Stephen O’Rahilly
- 0000 0004 0369 9638grid.470900.aThe University of Cambridge Metabolic Research Laboratories, Wellcome Trust-MRC Institute of Metabolic Science, Cambridge, UK ,grid.454369.9The National Institute for Health Research Cambridge Biomedical Research Centre, Cambridge, UK
| | - Inês Barroso
- 0000 0004 0369 9638grid.470900.aThe University of Cambridge Metabolic Research Laboratories, Wellcome Trust-MRC Institute of Metabolic Science, Cambridge, UK ,0000 0004 0606 5382grid.10306.34Wellcome Trust Sanger Institute, Wellcome Genome Campus, Hinxton, UK
| | - Robert K. Semple
- 0000 0004 0369 9638grid.470900.aThe University of Cambridge Metabolic Research Laboratories, Wellcome Trust-MRC Institute of Metabolic Science, Cambridge, UK ,grid.454369.9The National Institute for Health Research Cambridge Biomedical Research Centre, Cambridge, UK ,0000 0004 1936 7988grid.4305.2Centre for Cardiovascular Sciences, University of Edinburgh, Queen’s Medical Research Institute, Edinburgh, UK
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10
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Minic M, Rocha N, Harris J, Groeneveld MP, Leiter S, Wareham N, Sleigh A, De Lonlay P, Hussain K, O’Rahilly S, Semple RK. Constitutive Activation of AKT2 in Humans Leads to Hypoglycemia Without Fatty Liver or Metabolic Dyslipidemia. J Clin Endocrinol Metab 2017; 102:2914-2921. [PMID: 28541532 PMCID: PMC5546860 DOI: 10.1210/jc.2017-00768] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/30/2017] [Accepted: 05/18/2017] [Indexed: 01/22/2023]
Abstract
Context The activating p.Glu17Lys mutation in AKT2, a kinase mediating many of insulin's metabolic actions, causes hypoinsulinemic hypoglycemia and left-sided hemihypertrophy. The wider metabolic profile and longer-term natural history of the condition has not yet been reported. Objective To characterize the metabolic and cellular consequences of the AKT2 p.Glu17Lys mutation in two previously reported males at the age of 17 years. Design and Intervention Body composition analysis using dual-energy X-ray absorptiometry, overnight profiling of plasma glucose, insulin, and fatty acids, oral glucose tolerance testing, and magnetic resonance spectroscopy to determine hepatic triglyceride content was undertaken. Hepatic de novo lipogenesis was quantified using deuterium incorporation into palmitate. Signaling in dermal fibroblasts was studied ex vivo. Results Both patients had 37% adiposity. One developed hypoglycemia after 2 hours of overnight fasting with concomitant suppression of plasma fatty acids and ketones, whereas the other maintained euglycemia with an increase in free fatty acids. Blood glucose excursions after oral glucose were normal in both patients, albeit with low plasma insulin concentrations. In both patients, plasma triglyceride concentration, hepatic triglyceride content, and fasting hepatic de novo lipogenesis were normal. Dermal fibroblasts of one proband showed low-level constitutive phosphorylation of AKT and some downstream substrates, but no increased cell proliferation rate. Conclusions The p.Glu17Lys mutation of AKT2 confers low-level constitutive activity upon the kinase and produces hypoglycemia with suppressed fatty acid release from adipose tissue, but not fatty liver, hypertriglyceridemia, or elevated hepatic de novo lipogenesis. Hypoglycemia may spontaneously remit.
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Affiliation(s)
- Marina Minic
- The University of Cambridge Metabolic Research Laboratories, Wellcome Trust-Medical Research Council (MRC) Institute of Metabolic Science, Cambridge CB2 0QQ, United Kingdom
- The National Institute for Health Research, Cambridge Biomedical Research Centre, Cambridge CB2 0QQ, United Kingdom
| | - Nuno Rocha
- The University of Cambridge Metabolic Research Laboratories, Wellcome Trust-Medical Research Council (MRC) Institute of Metabolic Science, Cambridge CB2 0QQ, United Kingdom
- The National Institute for Health Research, Cambridge Biomedical Research Centre, Cambridge CB2 0QQ, United Kingdom
| | - Julie Harris
- The University of Cambridge Metabolic Research Laboratories, Wellcome Trust-Medical Research Council (MRC) Institute of Metabolic Science, Cambridge CB2 0QQ, United Kingdom
- The National Institute for Health Research, Cambridge Biomedical Research Centre, Cambridge CB2 0QQ, United Kingdom
| | - Matthijs P. Groeneveld
- The University of Cambridge Metabolic Research Laboratories, Wellcome Trust-Medical Research Council (MRC) Institute of Metabolic Science, Cambridge CB2 0QQ, United Kingdom
- The National Institute for Health Research, Cambridge Biomedical Research Centre, Cambridge CB2 0QQ, United Kingdom
| | - Sarah Leiter
- The University of Cambridge Metabolic Research Laboratories, Wellcome Trust-Medical Research Council (MRC) Institute of Metabolic Science, Cambridge CB2 0QQ, United Kingdom
- The National Institute for Health Research, Cambridge Biomedical Research Centre, Cambridge CB2 0QQ, United Kingdom
| | - Nicholas Wareham
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge CB2 0QQ, United Kingdom
| | - Alison Sleigh
- Wolfson Brain Imaging Centre, University of Cambridge School of Clinical Medicine, Cambridge Biomedical Campus, Cambridge CB2 0QQ, United Kingdom
- National Institute for Health Research/Wellcome Trust Clinical Research Facility, Cambridge University Hospitals National Health Service Foundation Trust, Cambridge Biomedical Campus, Cambridge CB2 0QQ, United Kingdom
| | - Pascale De Lonlay
- Université Paris Descartes, Sorbonne Paris Cité, Faculté de Médecine, 75270 Paris Cedex 06, France
- Centre de Référence des Maladies Héréditaires du Métabolisme, Hôpital Necker, Assistance Publique-Hôpitaux de Paris, 75015 Paris, France
- Institut Imagine, Institut National de la Sante et de la Recherche Médicale, Unité 1163, 75015 Paris, France
| | - Khalid Hussain
- Department of Pediatric Medicine, Sidra Medical and Research Center, PO Box 26999, Doha, Qatar
| | - Stephen O’Rahilly
- The University of Cambridge Metabolic Research Laboratories, Wellcome Trust-Medical Research Council (MRC) Institute of Metabolic Science, Cambridge CB2 0QQ, United Kingdom
- The National Institute for Health Research, Cambridge Biomedical Research Centre, Cambridge CB2 0QQ, United Kingdom
| | - Robert K. Semple
- The University of Cambridge Metabolic Research Laboratories, Wellcome Trust-Medical Research Council (MRC) Institute of Metabolic Science, Cambridge CB2 0QQ, United Kingdom
- The National Institute for Health Research, Cambridge Biomedical Research Centre, Cambridge CB2 0QQ, United Kingdom
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11
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Rocha N, Bulger DA, Frontini A, Titheradge H, Gribsholt SB, Knox R, Page M, Harris J, Payne F, Adams C, Sleigh A, Crawford J, Gjesing AP, Bork-Jensen J, Pedersen O, Barroso I, Hansen T, Cox H, Reilly M, Rossor A, Brown RJ, Taylor SI, McHale D, Armstrong M, Oral EA, Saudek V, O'Rahilly S, Maher ER, Richelsen B, Savage DB, Semple RK. Human biallelic MFN2 mutations induce mitochondrial dysfunction, upper body adipose hyperplasia, and suppression of leptin expression. eLife 2017; 6:e23813. [PMID: 28414270 PMCID: PMC5422073 DOI: 10.7554/elife.23813] [Citation(s) in RCA: 53] [Impact Index Per Article: 7.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2016] [Accepted: 04/11/2017] [Indexed: 12/25/2022] Open
Abstract
MFN2 encodes mitofusin 2, a membrane-bound mediator of mitochondrial membrane fusion and inter-organelle communication. MFN2 mutations cause axonal neuropathy, with associated lipodystrophy only occasionally noted, however homozygosity for the p.Arg707Trp mutation was recently associated with upper body adipose overgrowth. We describe similar massive adipose overgrowth with suppressed leptin expression in four further patients with biallelic MFN2 mutations and at least one p.Arg707Trp allele. Overgrown tissue was composed of normal-sized, UCP1-negative unilocular adipocytes, with mitochondrial network fragmentation, disorganised cristae, and increased autophagosomes. There was strong transcriptional evidence of mitochondrial stress signalling, increased protein synthesis, and suppression of signatures of cell death in affected tissue, whereas mitochondrial morphology and gene expression were normal in skin fibroblasts. These findings suggest that specific MFN2 mutations cause tissue-selective mitochondrial dysfunction with increased adipocyte proliferation and survival, confirm a novel form of excess adiposity with paradoxical suppression of leptin expression, and suggest potential targeted therapies.
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Affiliation(s)
- Nuno Rocha
- The University of Cambridge Metabolic Research Laboratories, Wellcome Trust-MRC Institute of Metabolic Science, Cambridge, United Kingdom
- The National Institute for Health Research Cambridge Biomedical Research Centre, Cambridge, United Kingdom
| | - David A Bulger
- The University of Cambridge Metabolic Research Laboratories, Wellcome Trust-MRC Institute of Metabolic Science, Cambridge, United Kingdom
- The National Institute for Health Research Cambridge Biomedical Research Centre, Cambridge, United Kingdom
- National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, United States
| | - Andrea Frontini
- Department of Public Health, Experimental and Forensic Medicine, University of Pavia, Pavia, Italy
| | - Hannah Titheradge
- Institute of Cancer and Genomic Sciences, University of Birmingham, Birmingham, United Kingdom
- West Midlands Medical Genetics Department, Birmingham Women's Hospital, Edgbaston, Birmingham, United Kingdom
| | - Sigrid Bjerge Gribsholt
- Department of Endocrinology and Internal Medicine and Department of Clinical Epidemiology, Aarhus University Hospital, Aarhus, Denmark
| | - Rachel Knox
- The University of Cambridge Metabolic Research Laboratories, Wellcome Trust-MRC Institute of Metabolic Science, Cambridge, United Kingdom
- The National Institute for Health Research Cambridge Biomedical Research Centre, Cambridge, United Kingdom
| | - Matthew Page
- New Medicines, UCB Pharma, Slough, United Kingdom
| | - Julie Harris
- The University of Cambridge Metabolic Research Laboratories, Wellcome Trust-MRC Institute of Metabolic Science, Cambridge, United Kingdom
- The National Institute for Health Research Cambridge Biomedical Research Centre, Cambridge, United Kingdom
| | - Felicity Payne
- Wellcome Trust Sanger Institute, Cambridge, United Kingdom
| | - Claire Adams
- The University of Cambridge Metabolic Research Laboratories, Wellcome Trust-MRC Institute of Metabolic Science, Cambridge, United Kingdom
- The National Institute for Health Research Cambridge Biomedical Research Centre, Cambridge, United Kingdom
| | - Alison Sleigh
- Wolfson Brain Imaging Centre, University of Cambridge School of Clinical Medicine, Cambridge Biomedical Campus, Cambridge, United Kingdom
- National Institute for Health Research/Wellcome Trust Clinical Research Facility, Cambridge University Hospitals NHS Foundation Trust, Cambridge Biomedical Campus, Cambridge, United Kingdom
| | - John Crawford
- Cambridge University Hospitals NHS Foundation Trust, Cambridge Biomedical Campus, Cambridge, United Kingdom
| | - Anette Prior Gjesing
- The Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Jette Bork-Jensen
- The Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Oluf Pedersen
- The Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Inês Barroso
- Wellcome Trust Sanger Institute, Cambridge, United Kingdom
| | - Torben Hansen
- The Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Helen Cox
- West Midlands Medical Genetics Department, Birmingham Women's Hospital, Edgbaston, Birmingham, United Kingdom
| | - Mary Reilly
- MRC Centre for Neuromuscular Diseases, National Hospital for Neurology and Neurosurgery, UCL Institute of Neurology, London, United Kingdom
| | - Alex Rossor
- MRC Centre for Neuromuscular Diseases, National Hospital for Neurology and Neurosurgery, UCL Institute of Neurology, London, United Kingdom
| | - Rebecca J Brown
- National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, United States
| | - Simeon I Taylor
- University of Maryland School of Medicine, Baltimore, United States
| | | | | | - Elif A Oral
- Metabolism, Endocrinology and Diabetes (MEND) Division, Department of Internal of Medicine, Brehm Center for Diabetes, Ann Arbor, United States
| | - Vladimir Saudek
- The University of Cambridge Metabolic Research Laboratories, Wellcome Trust-MRC Institute of Metabolic Science, Cambridge, United Kingdom
- The National Institute for Health Research Cambridge Biomedical Research Centre, Cambridge, United Kingdom
| | - Stephen O'Rahilly
- The University of Cambridge Metabolic Research Laboratories, Wellcome Trust-MRC Institute of Metabolic Science, Cambridge, United Kingdom
- The National Institute for Health Research Cambridge Biomedical Research Centre, Cambridge, United Kingdom
| | - Eamonn R Maher
- The National Institute for Health Research Cambridge Biomedical Research Centre, Cambridge, United Kingdom
- Department of Medical Genetics, University of Cambridge School of Clinical Medicine, Cambridge, United Kingdom
| | - Bjørn Richelsen
- Department of Endocrinology and Internal Medicine, Aarhus University Hospital and Clinical Medicine, Aarhus University, Aarhus, Denmark
| | - David B Savage
- The University of Cambridge Metabolic Research Laboratories, Wellcome Trust-MRC Institute of Metabolic Science, Cambridge, United Kingdom
- The National Institute for Health Research Cambridge Biomedical Research Centre, Cambridge, United Kingdom
| | - Robert K Semple
- The University of Cambridge Metabolic Research Laboratories, Wellcome Trust-MRC Institute of Metabolic Science, Cambridge, United Kingdom
- The National Institute for Health Research Cambridge Biomedical Research Centre, Cambridge, United Kingdom
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12
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Kamdem F, Lemogoum D, Doualla MS, Kemta Lepka F, Temfack E, Ngo Nouga Y, Kenmegne C, Luma H, Hermans MP. Glucose homeostasis abnormalities among Cameroon patients with newly diagnosed hypertension. J Clin Hypertens (Greenwich) 2017; 19:519-523. [PMID: 28042916 DOI: 10.1111/jch.12959] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2016] [Revised: 11/04/2016] [Accepted: 11/11/2016] [Indexed: 11/27/2022]
Abstract
The authors assessed the frequency of glucose homeostasis abnormalities among 839 Cameroonians with newly diagnosed hypertension (mean age: 50.8±11 years; 49.9% female) in a cross-sectional survey conducted at the Douala General Hospital, Douala, Cameroon. In all participants, blood pressure, fasting plasma glucose (FPG), and lipids were recorded. Impaired fasting glycemia was described as an FPG level between 100 and 125 mg/dL and provisional diabetes as an FPG level ≥126 mg/dL. The FPG was 101±30 mg/dL. The overall proportion of abnormal glucose homeostasis was 38.3%, while 7.7% of patients (n=65) had known diabetes. A total of 23.7% (n=199) had impaired fasting glycemia and 6.8% (n=57) had provisional diabetes. Multivariable logistic regression revealed that male sex (odds ratio [OR], 1.53; 95% confidence interval [CI], 1.15-2.06), age older than 55 years (OR, 1.55; 95% CI, 1.15-2.09), and low-density lipoprotein cholesterol >1 g/L (OR, 1.34; 95% CI, 1.00-1.82) were independently associated with abnormal glucose homeostasis (all P<.05). Glucose homeostasis abnormalities are highly prevalent among Cameroonian patients with newly diagnosed hypertension.
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Affiliation(s)
- Félicité Kamdem
- Internal Medicine Unit, Douala General Hospital, Douala, Cameroon.,Faculty of Medicine and Pharmaceutical Sciences, University of Douala, Douala, Cameroon
| | - Daniel Lemogoum
- Faculty of Medicine and Pharmaceutical Sciences, University of Douala, Douala, Cameroon
| | - Marie-Solange Doualla
- Internal Medicine Unit, Douala General Hospital, Douala, Cameroon.,Faculty of Medicine and Biomedical Sciences, University of Yaoundé I, Yaoundé, Cameroon
| | - Fernando Kemta Lepka
- Internal Medicine Unit, Douala General Hospital, Douala, Cameroon.,Faculty of Health Sciences, University of Buea, Buea, Cameroon
| | - Elvis Temfack
- Internal Medicine Unit, Douala General Hospital, Douala, Cameroon
| | - Yvette Ngo Nouga
- Internal Medicine Unit, Douala General Hospital, Douala, Cameroon
| | | | - Henry Luma
- Internal Medicine Unit, Douala General Hospital, Douala, Cameroon.,Faculty of Medicine and Biomedical Sciences, University of Yaoundé I, Yaoundé, Cameroon
| | - Michel P Hermans
- Endocrinologyand Nutrition Unit, Cliniques Universitaires St-Luc, Université Catholique de Louvain, Brussels, Belgium
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13
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Huang-Doran I, Tomlinson P, Payne F, Gast A, Sleigh A, Bottomley W, Harris J, Daly A, Rocha N, Rudge S, Clark J, Kwok A, Romeo S, McCann E, Müksch B, Dattani M, Zucchini S, Wakelam M, Foukas LC, Savage DB, Murphy R, O'Rahilly S, Barroso I, Semple RK. Insulin resistance uncoupled from dyslipidemia due to C-terminal PIK3R1 mutations. JCI Insight 2016; 1:e88766. [PMID: 27766312 PMCID: PMC5070960 DOI: 10.1172/jci.insight.88766] [Citation(s) in RCA: 41] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022] Open
Abstract
Obesity-related insulin resistance is associated with fatty liver, dyslipidemia, and low plasma adiponectin. Insulin resistance due to insulin receptor (INSR) dysfunction is associated with none of these, but when due to dysfunction of the downstream kinase AKT2 phenocopies obesity-related insulin resistance. We report 5 patients with SHORT syndrome and C-terminal mutations in PIK3R1, encoding the p85α/p55α/p50α subunits of PI3K, which act between INSR and AKT in insulin signaling. Four of 5 patients had extreme insulin resistance without dyslipidemia or hepatic steatosis. In 3 of these 4, plasma adiponectin was preserved, as in insulin receptor dysfunction. The fourth patient and her healthy mother had low plasma adiponectin associated with a potentially novel mutation, p.Asp231Ala, in adiponectin itself. Cells studied from one patient with the p.Tyr657X PIK3R1 mutation expressed abundant truncated PIK3R1 products and showed severely reduced insulin-stimulated association of mutant but not WT p85α with IRS1, but normal downstream signaling. In 3T3-L1 preadipocytes, mutant p85α overexpression attenuated insulin-induced AKT phosphorylation and adipocyte differentiation. Thus, PIK3R1 C-terminal mutations impair insulin signaling only in some cellular contexts and produce a subphenotype of insulin resistance resembling INSR dysfunction but unlike AKT2 dysfunction, implicating PI3K in the pathogenesis of key components of the metabolic syndrome. C-terminal mutations in human PIK3R1 are associated with severe insulin resistance in the absence of dyslipidemia or hepatic steatosis.
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Affiliation(s)
- Isabel Huang-Doran
- The University of Cambridge Metabolic Research Laboratories, Wellcome Trust-MRC Institute of Metabolic Science, Cambridge, United Kingdom.,The National Institute for Health Research Cambridge Biomedical Research Centre, Cambridge, United Kingdom
| | - Patsy Tomlinson
- The University of Cambridge Metabolic Research Laboratories, Wellcome Trust-MRC Institute of Metabolic Science, Cambridge, United Kingdom.,The National Institute for Health Research Cambridge Biomedical Research Centre, Cambridge, United Kingdom
| | - Felicity Payne
- Metabolic Disease Group, Wellcome Trust Sanger Institute, Cambridge, United Kingdom
| | - Alexandra Gast
- The University of Cambridge Metabolic Research Laboratories, Wellcome Trust-MRC Institute of Metabolic Science, Cambridge, United Kingdom.,The National Institute for Health Research Cambridge Biomedical Research Centre, Cambridge, United Kingdom
| | - Alison Sleigh
- Wolfson Brain Imaging Centre, University of Cambridge, Cambridge, United Kingdom.,National Institute for Health Research/Wellcome Trust Clinical Research Facility, Cambridge, United Kingdom
| | - William Bottomley
- Metabolic Disease Group, Wellcome Trust Sanger Institute, Cambridge, United Kingdom
| | - Julie Harris
- The University of Cambridge Metabolic Research Laboratories, Wellcome Trust-MRC Institute of Metabolic Science, Cambridge, United Kingdom.,The National Institute for Health Research Cambridge Biomedical Research Centre, Cambridge, United Kingdom
| | - Allan Daly
- Metabolic Disease Group, Wellcome Trust Sanger Institute, Cambridge, United Kingdom
| | - Nuno Rocha
- The University of Cambridge Metabolic Research Laboratories, Wellcome Trust-MRC Institute of Metabolic Science, Cambridge, United Kingdom.,The National Institute for Health Research Cambridge Biomedical Research Centre, Cambridge, United Kingdom
| | - Simon Rudge
- Inositide Laboratory, Babraham Institute, Cambridge, United Kingdom
| | - Jonathan Clark
- Inositide Laboratory, Babraham Institute, Cambridge, United Kingdom
| | - Albert Kwok
- The University of Cambridge Metabolic Research Laboratories, Wellcome Trust-MRC Institute of Metabolic Science, Cambridge, United Kingdom.,The National Institute for Health Research Cambridge Biomedical Research Centre, Cambridge, United Kingdom
| | - Stefano Romeo
- Department of Molecular and Clinical Medicine, Sahlgrenska Academy at University of Gothenburg, Gothenburg, Sweden.,Clinical Nutrition Unit, Department of Medical and Surgical Sciences, University Magna Graecia, Catanzaro, Italy
| | - Emma McCann
- Department of Clinical Genetics, Glan Clwyd Hospital, Rhyl, United Kingdom
| | - Barbara Müksch
- Department of Pediatrics, Children's Hospital, Cologne, Germany
| | - Mehul Dattani
- Section of Genetics and Epigenetics in Health and Disease, Genetics and Genomic Medicine Programme, UCL Institute of Child Health, London, United Kingdom
| | - Stefano Zucchini
- Pediatric Endocrine Unit, S.Orsola-Malpighi Hospital, Bologna, Italy
| | - Michael Wakelam
- Inositide Laboratory, Babraham Institute, Cambridge, United Kingdom
| | - Lazaros C Foukas
- Institute of Healthy Ageing and Department of Genetics, Evolution and Environment, University College London, London, United Kingdom
| | - David B Savage
- The University of Cambridge Metabolic Research Laboratories, Wellcome Trust-MRC Institute of Metabolic Science, Cambridge, United Kingdom.,The National Institute for Health Research Cambridge Biomedical Research Centre, Cambridge, United Kingdom
| | - Rinki Murphy
- Department of Medicine, Faculty of Medical and Health Sciences, University of Auckland, Auckland, New Zealand
| | - Stephen O'Rahilly
- The University of Cambridge Metabolic Research Laboratories, Wellcome Trust-MRC Institute of Metabolic Science, Cambridge, United Kingdom.,The National Institute for Health Research Cambridge Biomedical Research Centre, Cambridge, United Kingdom
| | - Inês Barroso
- The University of Cambridge Metabolic Research Laboratories, Wellcome Trust-MRC Institute of Metabolic Science, Cambridge, United Kingdom.,The National Institute for Health Research Cambridge Biomedical Research Centre, Cambridge, United Kingdom.,Metabolic Disease Group, Wellcome Trust Sanger Institute, Cambridge, United Kingdom
| | - Robert K Semple
- The University of Cambridge Metabolic Research Laboratories, Wellcome Trust-MRC Institute of Metabolic Science, Cambridge, United Kingdom.,The National Institute for Health Research Cambridge Biomedical Research Centre, Cambridge, United Kingdom
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14
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Salmasi AM, Dancy M. The Glucose Tolerance Test, But Not HbA 1c, Remains the Gold Standard in Identifying Unrecognized Diabetes Mellitus and Impaired Glucose Tolerance in Hypertensive Subjects. Angiology 2016; 56:571-9. [PMID: 16193196 DOI: 10.1177/000331970505600508] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
The objective of this study was to compare the value of the oral glucose tolerance test (GTT), glycated hemoglobin concentration (HbA1c), and fasting plasma glucose (FPG) for identifying unrecognized diabetes mellitus (DM) and impaired glucose tolerance (IGT) in hypertensive subjects. One hundred forty-four consecutive subjects who were not known to have DM and who were attending the Hypertension Clinic underwent 24-hour ambulatory blood pressure (BP) monitoring. A GTT and an HbA1c measurement were also carried out. Abnormal results from GTT were found in 94 patients (65%). Results from FPG were not different between those with DM and IGT but were significantly higher than in the euglycemic subjects. The FPG was between 110-125 mg/dL (6.1-6.9 mmol/L) in 31% (n=20) of patients with IGT and in 53% (n=16) of those with DM. With use of the previously published criteria to diagnose DM of FPG ≥103 mg/dL (5.7 mmol/L) and HbA1c ≥5.9%, 33% of our diabetic subjects and 75% of those with IGT would have been misclassified as euglycemic. The previously reported cut-off point for HbA1c of >6.1% to diagnose DM was present in 77% of our patients with DM and in 14% (n=9) of the patients with IGT. Multiple regression analysis showed that an abnormal result from GTT was independent of the level of clinical or ambulatory BP, nocturnal BP dip, cholesterol level, smoking history, race, or class of antihypertensive medication taken. FPG levels or HbA1c, or their combination, are not accurate enough to identify DM or IGT in patients attending a hospital Hypertension Clinic. A GTT may be required in these patients to reliably identify those with DM or IGT.
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Affiliation(s)
- Abdul-Majeed Salmasi
- Cardiac Research Unit, Cardiology Department, Central Middlesex Hospital, London, United Kingdom.
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15
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Abstract
The number of people with diabetes is now considered to have reached epidemic proportions. Globally more the 150 million people have diabetes, accounting for more than 2% of the world's population and 3—5% of adults in most westernised societies. The incidence rates of type 1 and particularly type 2 diabetes are increasing in all societies and on all continents. Type 2 diabetes accounts for more than 95% of all diabetes. Type 2 diabetes is highly prevalent in the elderly and is now emerging in childhood. In developed countries diabetes and its complications constitute the fourth or fifth leading cause of death, and type 2 diabetes reduces remaining lifespan by 5—10 years. Diabetes (all types) is estimated to affect about 2.4 million people (prevalence of 4%) in the UK, of whom 1.4 million (prevalence of 2.5%) are diagnosed and one million undiagnosed. With the global prevalence of diabetes predicted to exceed 220 million by 2010 and 300 million by 2025 there is a major international challenge for optimal intervention and prevention strategies.
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Affiliation(s)
- Caroline Day
- Diabetes Group, School of Pharmacy, Aston University, Birmingham, Br
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16
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Shestakova MV, Chazova IE, Shestakova EA. Russian multicentre type 2 diabetes screening program in patients with cardiovascular disease. DIABETES MELLITUS 2016. [DOI: 10.14341/dm7765] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
Aim.To evaluate the prevalence of undiagnosed type 2 diabetes mellitus (T2DM) among patients with cardiovascular disease.Materials and methods.T2DM screening programs among patients with cardiovascular disease were held from 2013 to 2014 in several Russian cities. In total, 1001 patients aged ≥40 years with hypertension and/or atherosclerotic disease and without prior diagnosis of T2DM were screened in outpatient cardiology clinics. T2DM diagnosis was based on fasting plasma glucose levels, glycated haemoglobin (HbA1c) and/or oral glucose tolerance test (OGTT) results. Blood pressure (BP), family history of T2DM, cardiovascular disease, total cholesterol, low-density lipoprotein (LDL), high-density lipoprotein (HDL) and triglyceride levels were analysed.Results.Fasting glucose was measured in 1000 (99.8%) patients, HbA1c was measured in in 623 (62.2%) and OGTT was performed in 286 (2.6%). Fasting glucose detected 8% of newly diagnosed T2DM; among patients who underwentHbA1c measurement, the prevalence of T2DM was 10.91%, and among patients who underwent OGTT, the prevalence was 13.99%. Depending on the chosen test, the prevalence of undiagnosed pre-diabetes (impaired fasting glycaemia and impaired glucose tolerance) was in the range of 14.4%–36.4%. The majority of patients with T2DM diagnosed by OGTT did not have target blood pressure and lipid levels; 67.5% had elevated systolic BP, 47.5% had elevated diastolic BP, 90.9% had high LDL (≥1.8 mmol/l) and 52.9% had high triglyceride levels (≥1.7 mmol/l).Conclusion.A high prevalence of undiagnosed T2DM (from 8% to 13.99%, depending on the diagnostic criteria) and pre-diabetic state in patients with cardiovascular disease may require screening for T2DM in this high-risk group.
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17
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Seclen SN, Rosas ME, Arias AJ, Huayta E, Medina CA. Prevalence of diabetes and impaired fasting glucose in Peru: report from PERUDIAB, a national urban population-based longitudinal study. BMJ Open Diabetes Res Care 2015; 3:e000110. [PMID: 26512325 PMCID: PMC4620143 DOI: 10.1136/bmjdrc-2015-000110] [Citation(s) in RCA: 39] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/16/2015] [Revised: 09/11/2015] [Accepted: 09/16/2015] [Indexed: 11/03/2022] Open
Abstract
OBJECTIVES We aimed to estimate the prevalences of diabetes and impaired fasting glucose (IFG) in a national sample in Peru and assess the relationships with selected sociodemographic variables. METHODS We estimated prevalence in PERUDIAB study participants, a nationwide, stratified urban and suburban population selected by random cluster sampling. Between 2010 and 2012, questionnaires were completed and blood tests obtained from 1677 adults ≥25 years of age. Known diabetes was defined as participants having been told so by a doctor or nurse and/or receiving insulin or oral antidiabetic agents. Newly diagnosed diabetes was defined as fasting plasma glucose ≥126 mg/dL determined during the study and without a previous diabetes diagnosis. IFG was defined as fasting plasma glucose of 100-125 mg/dL. RESULTS The estimated national prevalence of diabetes was 7.0% (95% CI 5.3% to 8.7%) and it was 8.4% (95% CI 5.6% to 11.3%) in metropolitan Lima. No gender differences were detected. Known and newly diagnosed diabetes prevalences were estimated as 4.2% and 2.8%, respectively. A logistic regression response surface model showed a complex trend for an increased prevalence of diabetes in middle-aged individuals and in those with no formal education. Diabetes prevalence was higher in coastal (8.2%) than in highlands (4.5%; p=0.03), and jungle (3.5%; p<0.02) regions. The estimated national prevalence of IFG was 22.4%, higher in males than in females (28.3% vs 19.1%; p<0.001), and higher in coastal (26.4%) than in highlands (17.4%; p=0.03), but not jungle regions (14.9%; p=0.07). CONCLUSIONS This study confirms diabetes as an important public health problem, especially for middle-aged individuals and those with no formal education. 40% of the affected individuals were undiagnosed. The elevated prevalence of IFG shows that nearly a quarter of the adult population of Peru has an increased risk of diabetes.
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Affiliation(s)
- Segundo N Seclen
- Diabetes, Hypertension and Lipids Unit, Institute of Gerontology, Universidad Peruana Cayetano Heredia, Lima, Peru
| | | | - Arturo J Arias
- National Institute of Statistics and Informatics, Technical Direction of Demography and Social Indicators, Lima, Peru
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Marques-Vidal P, Vollenweider P, Guessous I, Henry H, Boulat O, Waeber G, Jornayvaz FR. Serum Vitamin D Concentrations Are Not Associated with Insulin Resistance in Swiss Adults. J Nutr 2015; 145:2117-22. [PMID: 26180247 DOI: 10.3945/jn.115.211763] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2015] [Accepted: 06/25/2015] [Indexed: 11/14/2022] Open
Abstract
BACKGROUND Low vitamin D status has been associated with an increased risk of developing type 2 diabetes and insulin resistance (IR), although this has been recently questioned. OBJECTIVE We examined the association between serum vitamin D metabolites and incident IR. METHODS This was a prospective, population-based study derived from the CoLaus (Cohorte Lausannoise) study including 3856 participants (aged 51.2 ± 10.4 y; 2217 women) free from diabetes or IR at baseline. IR was defined as a homeostasis model assessment (HOMA) index >2.6. Fasting plasma insulin and glucose were measured at baseline and at follow-up to calculate the HOMA index. The association of vitamin D metabolites with incident IR was analyzed by logistic regression, and the results were expressed for each independent variable as ORs and 95% CIs. RESULTS During the 5.5-y follow-up, 649 (16.9%) incident cases of IR were identified. Participants who developed IR had lower baseline serum concentrations of 25-hydroxyvitamin D3 [25(OH)D3 (25-hydroxycholecalciferol); 45.9 ± 22.8 vs. 49.9 ± 22.6 nmol/L; P < 0.001], total 25(OH)D3 (25(OH)D3 + epi-25-hydroxyvitamin D3 [3-epi-25(OH)D3]; 49.1 ± 24.3 vs. 53.3 ± 24.1 nmol/L; P < 0.001), and 3-epi-25(OH)D3 (4.2 ± 2.9 vs. 4.3 ± 2.5 nmol/L; P = 0.01) but a higher 3-epi- to total 25(OH)D3 ratio (0.09 ± 0.05 vs. 0.08 ± 0.04; P = 0.007). Multivariable analysis adjusting for month of sampling, age, and sex showed an inverse association between 25(OH)D3 and the likelihood of developing IR [ORs (95% CIs): 0.86 (0.68, 1.09), 0.60 (0.46, 0.78), and 0.57 (0.43, 0.75) for the second, third, and fourth quartiles compared with the first 25(OH)D3 quartile; P-trend < 0.001]. Similar associations were found between total 25(OH)D3 and incident IR. There was no significant association between 3-epi-25(OH)D3 and IR, yet a positive association was observed between the 3-epi- to total 25(OH)D3 ratio and incident IR. Further adjustment for body mass index, sedentary status, and smoking attenuated the association between 25(OH)D3, total 25(OH)D3, and the 3-epi- to total 25(OH)D3 ratio and the likelihood of developing IR. CONCLUSION In the CoLaus study in healthy adults, the risk of incident IR is not associated with serum concentrations of 25(OH)D3 and total 25(OH)D3.
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Affiliation(s)
| | | | - Idris Guessous
- Institute of Social and Preventive Medicine (IUMSP), Unit of Population Epidemiology, Division of Primary Care Medicine, Department of Community Medicine, Primary Care and Emergency Medicine, Geneva University Hospitals, Geneva, Switzerland; and Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA
| | | | | | | | - François R Jornayvaz
- Service of Endocrinology, Diabetes, and Metabolism, Lausanne University Hospital, Lausanne, Switzerland;
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Masconi KL, Echouffo-Tcheugui JB, Matsha TE, Erasmus RT, Kengne AP. Predictive modeling for incident and prevalent diabetes risk evaluation. Expert Rev Endocrinol Metab 2015; 10:277-284. [PMID: 30298773 DOI: 10.1586/17446651.2015.1015989] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
With half of individuals with diabetes undiagnosed worldwide and a projected 55% increase of the population with diabetes by 2035, the identification of undiagnosed and high-risk individuals is imperative. Multivariable diabetes risk prediction models have gained popularity during the past two decades. These have been shown to predict incident or prevalent diabetes through a simple and affordable risk scoring system accurately. Their development requires cohort or cross-sectional type studies with a variable combination, number and definition of included risk factors, with their performance chiefly measured by discrimination and calibration. Models can be used in clinical and public health settings. However, the impact of their use on outcomes in real-world settings needs to be evaluated before widespread implementation.
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Affiliation(s)
- Katya L Masconi
- a 1 Division of Chemical Pathology, Faculty of Health Sciences, National Health Laboratory Service (NHLS) and University of Stellenbosch, Cape Town, South Africa
- b 2 Non-Communicable Diseases Research Unit, South African Medical Research Council, Cape Town, South Africa
| | - Justin Basile Echouffo-Tcheugui
- c 3 Hubert Department of Public Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA
- d 4 Department of Medicine, MedStar Health System, Baltimore, MD, USA
| | - Tandi E Matsha
- e 5 Department of Biomedical Technology, Faculty of Health and Wellness Sciences, Cape Peninsula University of Technology, Cape Town, South Africa
| | - Rajiv T Erasmus
- a 1 Division of Chemical Pathology, Faculty of Health Sciences, National Health Laboratory Service (NHLS) and University of Stellenbosch, Cape Town, South Africa
| | - Andre Pascal Kengne
- b 2 Non-Communicable Diseases Research Unit, South African Medical Research Council, Cape Town, South Africa
- f 6 Department of Medicine, University of Cape Town, Cape Town, South Africa
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Enang OE, Otu AA, Essien OE, Okpara H, Fasanmade OA, Ohwovoriole AE, Searle J. Prevalence of dysglycemia in Calabar: a cross-sectional observational study among residents of Calabar, Nigeria. BMJ Open Diabetes Res Care 2014; 2:e000032. [PMID: 25452872 PMCID: PMC4212572 DOI: 10.1136/bmjdrc-2014-000032] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/01/2014] [Revised: 05/06/2014] [Accepted: 05/24/2014] [Indexed: 12/22/2022] Open
Abstract
OBJECTIVE Population data on dysglycemia are scarce in West Africa. This study aimed to determine the pattern of dysglycemia in Calabar city in South East Nigeria. DESIGN This was a cross-sectional observational study. METHODS 1134 adults in Calabar were recruited. A multistage sampling method randomly selected 4 out of 22 wards, and 50 households from each ward. All adults within each household were recruited and an oral glucose tolerance test was performed. Dysglycemia was defined as any form of glucose intolerance, including: impaired fasting glucose (blood glucose level 110-125 mg/dL), impaired glucose tolerance (blood glucose level ≥140 mg/dL 2 h after consuming 75 g of glucose), or diabetes mellitus (DM), as defined by fasting glucose level ≥126 mg/dL, or a blood glucose level ≥200 mg/dL, 2 h after a 75 g glucose load. RESULTS Mean values of fasting plasma glucose were 95 mg/dL (95% CI 92.1 to 97.5) for men and 96 mg/dL (95% CI 93.2 to 98.6) for women. The overall prevalence of dysglycemia was 24%. The prevalence of impaired fasting glucose was 9%, the prevalence of impaired glucose tolerance 20%, and the prevalence of undiagnosed DM 7%. All values were a few percentage points higher for men than women. CONCLUSIONS The prevalence of undiagnosed DM among residents of Calabar is similar to studies elsewhere in Nigeria but much higher than the previous national prevalence survey, with close to a quarter of the adults having dysglycemia and 7% having undiagnosed DM. This is a serious public health problem requiring a programme of mass education and case identification and management in all health facilities. TRIAL REGISTRATION NUMBER CRS/MH/CR-HREC/020/Vol.8/43.
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Affiliation(s)
- O E Enang
- Department of Internal Medicine, University of Calabar Teaching Hospital, Calabar, Cross River State, Nigeria
| | - A A Otu
- Department of Internal Medicine, University of Calabar Teaching Hospital, Calabar, Cross River State, Nigeria
| | - O E Essien
- Department of Internal Medicine, University of Calabar Teaching Hospital, Calabar, Cross River State, Nigeria
| | - H Okpara
- Department of Chemical Pathology, University of Calabar Teaching Hospital, Calabar, Cross River State, Nigeria
| | - O A Fasanmade
- Department of Medicine, Lagos University Teaching Hospital, Lagos, Lagos State, Nigeria
| | - A E Ohwovoriole
- Department of Medicine, Lagos University Teaching Hospital, Lagos, Lagos State, Nigeria
| | - J Searle
- Leeds Institute of Health Sciences, University of Leeds, Leeds, UK
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Pearce L, Atanassova N, Banton M, Bottomley B, van der Klaauw A, Revelli JP, Hendricks A, Keogh J, Henning E, Doree D, Jeter-Jones S, Garg S, Bochukova E, Bounds R, Ashford S, Gayton E, Hindmarsh P, Shield J, Crowne E, Barford D, Wareham N, O’Rahilly S, Murphy M, Powell D, Barroso I, Farooqi I. KSR2 mutations are associated with obesity, insulin resistance, and impaired cellular fuel oxidation. Cell 2013; 155:765-77. [PMID: 24209692 PMCID: PMC3898740 DOI: 10.1016/j.cell.2013.09.058] [Citation(s) in RCA: 129] [Impact Index Per Article: 11.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2013] [Revised: 07/31/2013] [Accepted: 09/20/2013] [Indexed: 02/02/2023]
Abstract
Kinase suppressor of Ras 2 (KSR2) is an intracellular scaffolding protein involved in multiple signaling pathways. Targeted deletion of Ksr2 leads to obesity in mice, suggesting a role in energy homeostasis. We explored the role of KSR2 in humans by sequencing 2,101 individuals with severe early-onset obesity and 1,536 controls. We identified multiple rare variants in KSR2 that disrupt signaling through the Raf-MEKERK pathway and impair cellular fatty acid oxidation and glucose oxidation in transfected cells; effects that can be ameliorated by the commonly prescribed antidiabetic drug, metformin. Mutation carriers exhibit hyperphagia in childhood, low heart rate, reduced basal metabolic rate and severe insulin resistance. These data establish KSR2 as an important regulator of energy intake, energy expenditure, and substrate utilization in humans. Modulation of KSR2-mediated effects may represent a novel therapeutic strategy for obesity and type 2 diabetes.
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Affiliation(s)
- Laura R. Pearce
- University of Cambridge Metabolic Research Laboratories and NIHR Cambridge Biomedical Research Centre, Wellcome Trust-MRC Institute of Metabolic Science, Addenbrooke’s Hospital, Cambridge CB2 0QQ, UK
| | - Neli Atanassova
- University of Cambridge Metabolic Research Laboratories and NIHR Cambridge Biomedical Research Centre, Wellcome Trust-MRC Institute of Metabolic Science, Addenbrooke’s Hospital, Cambridge CB2 0QQ, UK
| | - Matthew C. Banton
- University of Cambridge Metabolic Research Laboratories and NIHR Cambridge Biomedical Research Centre, Wellcome Trust-MRC Institute of Metabolic Science, Addenbrooke’s Hospital, Cambridge CB2 0QQ, UK
| | - Bill Bottomley
- Wellcome Trust Sanger Institute, Cambridge, CB10 1SA, UK
| | - Agatha A. van der Klaauw
- University of Cambridge Metabolic Research Laboratories and NIHR Cambridge Biomedical Research Centre, Wellcome Trust-MRC Institute of Metabolic Science, Addenbrooke’s Hospital, Cambridge CB2 0QQ, UK
| | | | | | - Julia M. Keogh
- University of Cambridge Metabolic Research Laboratories and NIHR Cambridge Biomedical Research Centre, Wellcome Trust-MRC Institute of Metabolic Science, Addenbrooke’s Hospital, Cambridge CB2 0QQ, UK
| | - Elana Henning
- University of Cambridge Metabolic Research Laboratories and NIHR Cambridge Biomedical Research Centre, Wellcome Trust-MRC Institute of Metabolic Science, Addenbrooke’s Hospital, Cambridge CB2 0QQ, UK
| | - Deon Doree
- Lexicon Pharmaceuticals, The Woodlands, TX 77381, USA
| | | | - Sumedha Garg
- University of Cambridge Metabolic Research Laboratories and NIHR Cambridge Biomedical Research Centre, Wellcome Trust-MRC Institute of Metabolic Science, Addenbrooke’s Hospital, Cambridge CB2 0QQ, UK
| | - Elena G. Bochukova
- University of Cambridge Metabolic Research Laboratories and NIHR Cambridge Biomedical Research Centre, Wellcome Trust-MRC Institute of Metabolic Science, Addenbrooke’s Hospital, Cambridge CB2 0QQ, UK
| | - Rebecca Bounds
- University of Cambridge Metabolic Research Laboratories and NIHR Cambridge Biomedical Research Centre, Wellcome Trust-MRC Institute of Metabolic Science, Addenbrooke’s Hospital, Cambridge CB2 0QQ, UK
| | - Sofie Ashford
- University of Cambridge Metabolic Research Laboratories and NIHR Cambridge Biomedical Research Centre, Wellcome Trust-MRC Institute of Metabolic Science, Addenbrooke’s Hospital, Cambridge CB2 0QQ, UK
| | - Emma Gayton
- Wellcome Trust Sanger Institute, Cambridge, CB10 1SA, UK
| | - Peter C. Hindmarsh
- Institute of Child Health, University College London, London WC1E 6BT, UK
| | - Julian P.H. Shield
- University of Bristol and Bristol Royal Hospital for Children, Bristol BS2 8BJ, UK
| | - Elizabeth Crowne
- University of Bristol and Bristol Royal Hospital for Children, Bristol BS2 8BJ, UK
| | - David Barford
- Institute of Cancer Research, Chester Beatty Laboratories, London SW3 6JB, UK
| | - Nick J. Wareham
- MRC Epidemiology Unit, Wellcome Trust-MRC Institute of Metabolic Science, Addenbrooke’s Hospital, Cambridge CB2 0QQ, UK
| | | | - Stephen O’Rahilly
- University of Cambridge Metabolic Research Laboratories and NIHR Cambridge Biomedical Research Centre, Wellcome Trust-MRC Institute of Metabolic Science, Addenbrooke’s Hospital, Cambridge CB2 0QQ, UK
| | - Michael P. Murphy
- MRC Mitochondrial Biology Unit, Wellcome Trust/MRC Building, Hills Road, Cambridge CB2 0XY, UK
| | | | - Ines Barroso
- University of Cambridge Metabolic Research Laboratories and NIHR Cambridge Biomedical Research Centre, Wellcome Trust-MRC Institute of Metabolic Science, Addenbrooke’s Hospital, Cambridge CB2 0QQ, UK
- Wellcome Trust Sanger Institute, Cambridge, CB10 1SA, UK
| | - I. Sadaf Farooqi
- University of Cambridge Metabolic Research Laboratories and NIHR Cambridge Biomedical Research Centre, Wellcome Trust-MRC Institute of Metabolic Science, Addenbrooke’s Hospital, Cambridge CB2 0QQ, UK
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Salgin B, Ong KK, Thankamony A, Emmett P, Wareham NJ, Dunger DB. Higher fasting plasma free fatty acid levels are associated with lower insulin secretion in children and adults and a higher incidence of type 2 diabetes. J Clin Endocrinol Metab 2012; 97:3302-9. [PMID: 22740706 DOI: 10.1210/jc.2012-1428] [Citation(s) in RCA: 57] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
Abstract
CONTEXT There are limited data in humans on the association between fasting free fatty acid (FFA) levels and pancreatic β-cell function. OBJECTIVE Our objective was to examine this association in children and adults with normal glucose tolerance and to explore fasting FFA levels in relation to subsequent risk of impaired glucose tolerance (IGT) and type 2 diabetes (T2D). DESIGN We measured FFA, glucose, and insulin levels after an overnight fast and 30 min after an oral glucose load in 797 children aged 8 yr in the Avon Longitudinal Study of Parents and Children and 770 adults aged 44-71 yr in the Medical Research Council Ely Study. We calculated the homeostasis model assessment to estimate fasting insulin sensitivity, the insulinogenic index to estimate insulin secretion, and the disposition index to assess insulin secretion corrected for insulin sensitivity. RESULTS Higher fasting FFA levels were associated with lower insulin secretion in children (boys, P = 0.03; girls, P = 0.001) and adults (men, P = 0.03, women, P = 0.04). Associations with insulin sensitivity were more variable, but after adjustment for insulin sensitivity, higher fasting FFA levels remained associated with lower insulin secretion (disposition index). Compared with adults in the lowest tertile of fasting FFA levels, those in the middle and highest tertiles had a 3-fold higher incidence of IGT or T2D over the following 5-8 yr. CONCLUSIONS Higher fasting FFA levels were consistently associated with lower insulin secretion in children and adults with normal glucose tolerance. Furthermore, higher fasting FFA levels were prospectively associated with a greater risk of subsequent IGT and T2D.
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Affiliation(s)
- Burak Salgin
- University Department of Paediatrics, University of Cambridge, Cambridge CB2 0QQ, United Kingdom.
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Rahman M, Simmons RK, Hennings SH, Wareham NJ, Griffin SJ. Effect of screening for Type 2 diabetes on population-level self-rated health outcomes and measures of cardiovascular risk: 13-year follow-up of the Ely cohort. Diabet Med 2012; 29:886-92. [PMID: 22283392 PMCID: PMC3814419 DOI: 10.1111/j.1464-5491.2012.03570.x] [Citation(s) in RCA: 20] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/01/2022]
Abstract
AIMS There is continuing uncertainty regarding the overall net benefits of population-based screening for Type 2 diabetes. We compared clinical measures, prescribed medication, cardiovascular morbidity and self-rated health in individuals without diabetes in a screened vs. an unscreened population. METHODS A parallel-group, cohort study of people aged 40-65 years, free of known diabetes, identified from the population register of a general practice in Ely, Cambridgeshire (n = 4936). In 1990-1992, one third (n = 1705), selected randomly, received an invitation for screening for diabetes and cardiovascular risk factors at 5-yearly intervals (screened population). From the remainder of the sampling frame, 1705 randomly selected individuals were invited to diabetes screening 10 years later (unscreened population). Patients without known diabetes from both populations were invited for a health assessment. RESULTS Of 3390 eligible individuals without diabetes, 1442 (43%) attended for health assessment, with no significant difference in attendance between groups. Thirteen years after the commencement of screening, self-rated functional health status and health utility were identical between the screened and unscreened populations. Clinical measures, self-reported medication and cardiovascular morbidity were similar between the two groups. CONCLUSIONS Screening for diabetes is not associated with long-term harms at the population level. However, screening has limited long-term impact on those testing negative; benefits may largely be restricted to those whose diabetes is detected early through screening.
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Affiliation(s)
- M Rahman
- General Practice and Primary Care Research Unit, University of Cambridge, Cambridge, UK
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Rahman M, Simmons RK, Hennings SH, Wareham NJ, Griffin SJ. How much does screening bring forward the diagnosis of type 2 diabetes and reduce complications? Twelve year follow-up of the Ely cohort. Diabetologia 2012; 55:1651-9. [PMID: 22237689 DOI: 10.1007/s00125-011-2441-9] [Citation(s) in RCA: 28] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/03/2011] [Accepted: 12/07/2011] [Indexed: 12/12/2022]
Abstract
AIMS There are continuing uncertainties about how much screening for type 2 diabetes brings forward the clinical diagnosis and the impact that earlier diagnosis has on health outcomes. We compared the duration of diabetes and health outcomes in a population invited for diabetes screening at 5-yearly intervals from 1990 (screened population) with those in a similar population not invited for screening (unscreened population). METHODS This was a parallel-group, cohort study of people aged 40-65 years, free of known diabetes, identified from the population register of a general practice in Ely, Cambridgeshire, UK (n = 4,936). In 1990-1992, one-third (n = 1,705), selected randomly, received an invitation for screening for diabetes and cardiovascular risk factors at 5-yearly intervals (screened population). From the remainder of the sampling frame, 1,705 randomly selected individuals were invited to diabetes screening 10 years later (unscreened population). Patients with diabetes from both populations were invited for a health assessment, including biochemical, anthropometric and questionnaire measures, and testing for the presence of diabetic complications RESULTS Of the 199 eligible individuals with diabetes diagnosed during follow-up, 152 (76%) attended for health assessment. The median duration of clinically recognised diabetes was significantly longer in cases arising in the screened (5.0 years) compared with the unscreened population (1.7 years; p = 0.006). Clinical measures, prescribed medication and functional status were similar between screened and unscreened populations. CONCLUSIONS Diabetes screening resulted in cases being identified on average 3.3 years earlier, a difference significantly shorter than previous estimates. Earlier diagnosis did not appear to impact on health outcomes. Further evidence is needed to justify the introduction of population-based screening.
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Affiliation(s)
- M Rahman
- General Practice and Primary Care Research Unit, University of Cambridge, Cambridge, UK
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Dong JJ, Lou NJ, Zhao JJ, Zhang ZW, Qiu LL, Zhou Y, Liao L. Evaluation of a risk factor scoring model in screening for undiagnosed diabetes in China population. J Zhejiang Univ Sci B 2012; 12:846-52. [PMID: 21960348 DOI: 10.1631/jzus.b1000390] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
OBJECTIVE To develop a risk scoring model for screening for undiagnosed type 2 diabetes in Chinese population. METHODS A total of 5348 subjects from two districts of Jinan City, Shandong Province, China were enrolled. Group A (2985) included individuals from east of the city and Group B (2363) from west of the city. Screening questionnaires and a standard oral glucose tolerance test (OGTT) were completed by all subjects. Based on the stepwise logistic regression analysis of Group A, variables were selected to establish the risk scoring model. The validity and effectiveness of this model were evaluated in Group B. RESULTS Based on stepwise logistic regression analysis performed with data of Group A, variables including age, body mass index (BMI), waist-to-hip ratio (WHR), systolic pressure, diastolic pressure, heart rate, family history of diabetes, and history of high glucose were accepted into the risk scoring model. The risk for having diabetes increased along with aggregate scores. When Youden index was closest to 1, the optimal cutoff value was set up at 51. At this point, the diabetes risk scoring model could identify diabetes patients with a sensitivity of 83.3% and a specificity of 66.5%, making the positive predictive value 12.83% and negative predictive value 98.53%. We compared our model with the Finnish and Danish model and concluded that our model has superior validity in Chinese population. CONCLUSIONS Our diabetes risk scoring model has satisfactory sensitivity and specificity for identifying undiagnosed diabetes in our population, which might be a simple and practical tool suitable for massive diabetes screening.
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Affiliation(s)
- Jian-jun Dong
- Division of Endocrinology, Department of Medicine, Qilu Hospital of Shandong University, Jinan, China
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Bonnefond A, Clément N, Fawcett K, Yengo L, Vaillant E, Guillaume JL, Dechaume A, Payne F, Roussel R, Czernichow S, Hercberg S, Hadjadj S, Balkau B, Marre M, Lantieri O, Langenberg C, Bouatia-Naji N, Charpentier G, Vaxillaire M, Rocheleau G, Wareham NJ, Sladek R, McCarthy MI, Dina C, Barroso I, Jockers R, Froguel P. Rare MTNR1B variants impairing melatonin receptor 1B function contribute to type 2 diabetes. Nat Genet 2012; 44:297-301. [PMID: 22286214 PMCID: PMC3773908 DOI: 10.1038/ng.1053] [Citation(s) in RCA: 265] [Impact Index Per Article: 22.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2011] [Accepted: 12/02/2011] [Indexed: 12/15/2022]
Abstract
Genome-wide association studies have revealed that common noncoding variants in MTNR1B (encoding melatonin receptor 1B, also known as MT(2)) increase type 2 diabetes (T2D) risk(1,2). Although the strongest association signal was highly significant (P < 1 × 10(-20)), its contribution to T2D risk was modest (odds ratio (OR) of ∼1.10-1.15)(1-3). We performed large-scale exon resequencing in 7,632 Europeans, including 2,186 individuals with T2D, and identified 40 nonsynonymous variants, including 36 very rare variants (minor allele frequency (MAF) <0.1%), associated with T2D (OR = 3.31, 95% confidence interval (CI) = 1.78-6.18; P = 1.64 × 10(-4)). A four-tiered functional investigation of all 40 mutants revealed that 14 were non-functional and rare (MAF < 1%), and 4 were very rare with complete loss of melatonin binding and signaling capabilities. Among the very rare variants, the partial- or total-loss-of-function variants but not the neutral ones contributed to T2D (OR = 5.67, CI = 2.17-14.82; P = 4.09 × 10(-4)). Genotyping the four complete loss-of-function variants in 11,854 additional individuals revealed their association with T2D risk (8,153 individuals with T2D and 10,100 controls; OR = 3.88, CI = 1.49-10.07; P = 5.37 × 10(-3)). This study establishes a firm functional link between MTNR1B and T2D risk.
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Affiliation(s)
- Amélie Bonnefond
- Centre National de la Recherche Scientifique Unité Mixte de Recherche, Lille Pasteur Institute, France
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Lauritzen T, Sandbaek A, Skriver MV, Borch-Johnsen K. HbA1c and cardiovascular risk score identify people who may benefit from preventive interventions: a 7 year follow-up of a high-risk screening programme for diabetes in primary care (ADDITION), Denmark. Diabetologia 2011; 54:1318-26. [PMID: 21340624 DOI: 10.1007/s00125-011-2077-9] [Citation(s) in RCA: 22] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/18/2010] [Accepted: 01/18/2011] [Indexed: 12/20/2022]
Abstract
AIMS/HYPOTHESIS The measurement of HbA(1c) is suggested as a diagnostic test for diabetes. Screening for diabetes also identifies individuals with elevated cardiovascular risk but who are free of diabetes. This study aims to assess whether screening by HbA(1c) or glucose measures alone, or in combination with a cardiovascular risk assessment, identifies people who may benefit from preventive interventions, i.e. people with screen detected diabetes and people belonging to groups with excess mortality, during a median follow-up of 7 years. METHODS A population-based, stepwise high-risk screening programme was performed in 193 family practices from 2001 to 2006. Individuals aged between 40 and 69 years (N = 163,185) were sent a diabetes risk questionnaire. Of these, 20,916 people at risk of diabetes were stratified by glucose measures (normal glucose tolerance [NGT], impaired fasting glucose [IFG], impaired glucose tolerance [IGT] and diabetes), HbA(1c) (<6%; 6.0-6.4%; or ≥ 6.5%) and cardiovascular risk (heart SCORE <5 or ≥ 5). People were followed for a median of 7 years or until death. Excess mortality was calculated using the Cox hazard ratio (HR). RESULTS SCORE ≥ 5 identified 91.7% (95% CI 91.1-92.3%) of those who might benefit from preventive interventions. SCORE ≥ 5 in combination with HbA(1c) ≥ 6.0% identified 96.7% (95% CI 96.3-97.0%), compared with 97.6% (95%CI 97.2-97.9%) in combination with glucose measures. Glucose measures or HbA(1c) alone identified 26.1% (95% CI 25.2-27.0%) and 19.8% (95% CI 19.0-20.6%), respectively. CONCLUSION/INTERPRETATION In a population-based high risk screening programme in primary care, HbA(1c) ≥ 6.0% combined with an elevated cardiovascular risk assessment (SCORE ≥ 5) can feasibly be used to identify those who may benefit from preventive lifestyle intervention and/or polypharmacy. TRIAL REGISTRATION ClinicalTrials.gov NCT 00237549. FUNDING The study received unrestricted grants from Novo Nordisk, Novo Nordisk Scandinavia, Astra Denmark, Pfizer Denmark, GlaxoSmithKline Pharma Denmark, Servier Denmark and HemoCue Denmark.
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Affiliation(s)
- T Lauritzen
- Department of General Practice, School of Publich Health, Aarhus University, Bartholins Allé 2, DK 8000 Aarhus C, Denmark.
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Simmons RK, Rahman M, Jakes RW, Yuyun MF, Niggebrugge AR, Hennings SH, Williams DRR, Wareham NJ, Griffin SJ. Effect of population screening for type 2 diabetes on mortality: long-term follow-up of the Ely cohort. Diabetologia 2011; 54:312-9. [PMID: 20978739 DOI: 10.1007/s00125-010-1949-8] [Citation(s) in RCA: 44] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/07/2010] [Accepted: 09/27/2010] [Indexed: 11/26/2022]
Abstract
AIMS/HYPOTHESIS The aim of this study was to assess the impact of invitation to screening for type 2 diabetes and related cardiovascular risk factors on population mortality. METHODS This was a parallel-group population-based cohort study including all men and women aged 40-65 years, free of known diabetes, registered with a single practice in Ely, UK (n = 4,936). In 1990-1992, approximately one-third (n = 1,705) were randomly selected to receive an invitation to screening for diabetes (with an OGTT) and related cardiovascular risk factors. In the remaining two-thirds of the population, 1,705 individuals were randomly selected for invitation to screening in 2000-2003 and 1,526 were not invited at any point during the follow-up period. All individuals were flagged for mortality until January 2008. RESULTS There were 345 deaths between 1990 and 1999 (median 10 years follow-up). Compared with those not invited, individuals who were invited to the 1990-1992 screening round had a non-significant 21% lower all-cause mortality (HR 0.79 [95% CI 0.63-1.00], p = 0.05) after adjustment for age, sex and deprivation. There were 291 deaths between 2000 and 2008 (median 8 years follow-up), with no significant difference in mortality between invited and non-invited participants in 2000-2003. Compared with the non-invited group, participants who attended for screening at any time point had a significantly lower mortality and those who did not attend had a significantly higher mortality. CONCLUSIONS/INTERPRETATION Invitation to screening was associated with a non-significant reduction in mortality in the Ely cohort between 1990 and 1999, but this was not replicated in the period 2000-2008. This study contributes to the evidence concerning the potential benefits of population screening for diabetes and related cardiovascular risk factors.
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Affiliation(s)
- R K Simmons
- MRC Epidemiology Unit, Institute of Metabolic Science, Box 285, Addenbrooke's Hospital, Hills Road, Cambridge CB2 0QQ, UK
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Kilmer G, Hughes E, Zhang X, Elam-Evans L. Diabetes and prediabetes: screening and prevalence among adults with coronary heart disease. Am J Prev Med 2011; 40:159-65. [PMID: 21238864 DOI: 10.1016/j.amepre.2010.09.021] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/30/2010] [Revised: 06/21/2010] [Accepted: 09/03/2010] [Indexed: 11/25/2022]
Abstract
BACKGROUND Clinical performance measures recommend that nondiabetic patients with coronary heart disease (CHD) be screened for diabetes every 3 years. PURPOSE The purpose of this study is to report the prevalence of diabetes and prediabetes among U.S. adults aged ≥35 years with CHD and to determine factors associated with not receiving recommended diabetes screenings. METHODS The Behavioral Risk Factor Surveillance System (BRFSS) is an annual state-based telephone survey of non-institutionalized U.S. adults. Information on prediabetes prevalence was collected for 33 states in 2008; data analysis was conducted in 2009. The prevalence of diabetes and prediabetes among adults aged ≥35 years with CHD (n=20,618) and prevalence of diabetes screening among nondiabetic adults with CHD (n=14,335) were assessed. Multivariate logistic regression was used to calculate the odds of not being screened for diabetes in the past 3 years while controlling for other factors. RESULTS Among adults with CHD, 30.7% (95% CI=29.4%, 32.1%) reported being diagnosed with diabetes and 10.0% (95% CI=9.2%, 10.8%) reported prediabetes. Among nondiabetic adults with CHD, 25.4% (95% CI=23.9%, 26.9%) reported not being screened for diabetes in the past 3 years. Those with no recent routine checkup and those with no health insurance had the highest odds of no recent diabetes screening. CONCLUSIONS The prevalence of diabetes and prediabetes is substantial among adults with CHD and likely underestimated because of suboptimal screening. One of four nondiabetic adults with CHD reported not being screened for diabetes in the past 3 years.
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Dahl A, Hassing LB, Fransson E, Berg S, Gatz M, Reynolds CA, Pedersen NL. Being overweight in midlife is associated with lower cognitive ability and steeper cognitive decline in late life. J Gerontol A Biol Sci Med Sci 2010; 65:57-62. [PMID: 19349594 PMCID: PMC2796876 DOI: 10.1093/gerona/glp035] [Citation(s) in RCA: 72] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2008] [Accepted: 01/23/2009] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND Although an increasing body of evidence links being overweight in midlife with an increased risk for dementia in late life, no studies have examined the association between being overweight in midlife and cognitive ability in late life. Our aim was to examine the association between being overweight in midlife as measured by body mass index (BMI) and cognitive ability assessed over time. METHODS Participants in the Swedish Adoption/Twin Study Aging were derived from a population-based sample. The participants completed baseline surveys in 1963 or 1973 (mean age 41.6 years, range 25-63 years). The surveys included questions about height, weight, diseases, and lifestyle factors. Beginning in 1986, the same individuals were assessed on neuropsychological tests every 3 years (except in 1995) until 2002. During the study period, 781 individuals who were 50 years and older (60% women) had at least one complete neuropsychological assessment. A composite score of general cognitive ability was derived from the cognitive test battery for each measurement occasion. RESULTS Latent growth curve models adjusted for twinness showed that persons with higher midlife BMI scores had significantly lower general cognitive ability and significantly steeper longitudinal decline than their thinner counterparts. The association did not change substantially when persons who developed dementia during the study period were excluded from the analysis. CONCLUSIONS Higher midlife BMI scores precede lower general cognitive ability and steeper cognitive decline in both men and women. The association does not seem to be mediated by an increased risk for dementia.
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Affiliation(s)
- Anna Dahl
- Institute of Gerontology, School of Health Sciences, Jönköping University, Box 1026, Jönköping 551 11, Sweden.
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Paddison CAM, Eborall HC, Sutton S, French DP, Vasconcelos J, Prevost AT, Kinmonth AL, Griffin SJ. Are people with negative diabetes screening tests falsely reassured? Parallel group cohort study embedded in the ADDITION (Cambridge) randomised controlled trial. BMJ 2009; 339:b4535. [PMID: 19948642 PMCID: PMC2785870 DOI: 10.1136/bmj.b4535] [Citation(s) in RCA: 29] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
Abstract
OBJECTIVE To assess whether receiving a negative test result at primary care based stepwise diabetes screening results in false reassurance. DESIGN Parallel group cohort study embedded in a randomised controlled trial. SETTING 15 practices (10 screening, 5 control) in the ADDITION (Cambridge) trial. PARTICIPANTS 5334 adults (aged 40-69) in the top quarter for risk of having undiagnosed type 2 diabetes (964 controls and 4370 screening attenders). MAIN OUTCOME MEASURES Perceived personal and comparative risk of diabetes, intentions for behavioural change, and self rated health measured after an initial random blood glucose test and at 3-6 and 12-15 months later (equivalent time points for controls). RESULTS A linear mixed effects model with control for clustering by practice found no significant differences between controls and people who screened negative for diabetes in perceived personal risk, behavioural intentions, or self rated health after the first appointment or at 3-6 months or 12-15 months later. After the initial test, people who screened negative reported significantly (but slightly) lower perceived comparative risk (mean difference -0.16, 95% confidence interval -0.30 to -0.02; P=0.04) than the control group at the equivalent time point; no differences were evident at 3-6 and 12-15 months. CONCLUSIONS A negative test result at diabetes screening does not seem to promote false reassurance, whether this is expressed as lower perceived risk, lower intentions for health related behavioural change, or higher self rated health. Implementing a widespread programme of primary care based stepwise screening for type 2 diabetes is unlikely to cause an adverse shift in the population distribution of plasma glucose and cardiovascular risk resulting from an increase in unhealthy behaviours arising from false reassurance among people who screen negative. Trial registration Current controlled trials ISRCTN99175498.
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Affiliation(s)
- Charlotte A M Paddison
- General Practice and Primary Care Research Unit, University of Cambridge, Institute of Public Health, Cambridge CB2 0SR.
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Finucane FM, Luan J, Wareham NJ, Sharp SJ, O'Rahilly S, Balkau B, Flyvbjerg A, Walker M, Højlund K, Nolan JJ, Savage DB. Correlation of the leptin:adiponectin ratio with measures of insulin resistance in non-diabetic individuals. Diabetologia 2009; 52:2345-2349. [PMID: 19756488 PMCID: PMC2759015 DOI: 10.1007/s00125-009-1508-3] [Citation(s) in RCA: 227] [Impact Index Per Article: 15.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/26/2009] [Accepted: 08/03/2009] [Indexed: 12/15/2022]
Abstract
AIMS/HYPOTHESIS Obesity is the dominant cause of insulin resistance. In adult humans it is characterised by a combination of adipocyte hypertrophy and, to a lesser extent, adipocyte hyperplasia. As hypertrophic adipocytes secrete more leptin and less adiponectin, the plasma leptin:adiponectin ratio (LAR) has been proposed as a potentially useful measure of insulin resistance and vascular risk. We sought to assess the usefulness of the LAR as a measure of insulin resistance in non-diabetic white adults. METHODS Leptin and adiponectin levels were measured in 2,097 non-diabetic individuals from the Ely and European Group for the Study of Insulin Resistance (EGIR) Relationship between Insulin Sensitivity and Cardiovascular Risk (RISC) study cohorts. LAR was compared with fasting insulin and HOMA-derived insulin sensitivity (HOMA-S) in all individuals and with the insulin sensitivity index (M/I) from hyperinsulinaemic-euglycaemic clamp studies in 1,226 EGIR RISC participants. RESULTS The LAR was highly correlated with HOMA-S in men (r = -0.58, p = 4.5 x 10(-33) and r = -0.65, p = 1.1 x 10(-66) within the Ely and EGIR RISC study cohorts, respectively) and in women (r = -0.51, p = 2.8 x 10(-36) and r = -0.61, p = 2.5 x 10(-73)). The LAR was also strongly correlated with the clamp M/I value (r = -0.52, p = 4.5 x 10(-38) and r = -0.47, p = 6.6 x 10(-40) in men and women, respectively), similar to correlations between HOMA-S and the M/I value. CONCLUSIONS/INTERPRETATION The leptin:adiponectin ratio is a useful measure of insulin resistance in non-diabetic white adults. These data highlight the central role of adipocyte dysfunction in the pathogenesis of insulin resistance. Given that variations between fasting and postprandial leptin and adiponectin levels tend to be small, the leptin to adiponectin ratio might also have potential value in assessing insulin sensitivity in the non-fasted state.
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Affiliation(s)
- F M Finucane
- MRC Epidemiology Unit, Institute of Metabolic Science, Addenbrooke's Hospital, Cambridge, UK
| | - J Luan
- MRC Epidemiology Unit, Institute of Metabolic Science, Addenbrooke's Hospital, Cambridge, UK
| | - N J Wareham
- MRC Epidemiology Unit, Institute of Metabolic Science, Addenbrooke's Hospital, Cambridge, UK
| | - S J Sharp
- MRC Epidemiology Unit, Institute of Metabolic Science, Addenbrooke's Hospital, Cambridge, UK
| | - S O'Rahilly
- Metabolic Research Laboratories, Level 4, Institute of Metabolic Science, University of Cambridge, Addenbrooke's Hospital, Box 289, Hills Road, Cambridge, CB2 0QQ, UK
| | - B Balkau
- INSERM Unit 780, Université Paris-Sud, Orsay, France
| | - A Flyvbjerg
- Division of Nephrology, Department of Medicine, Helsinki University Central Hospital, Helsinki, Finland
| | - M Walker
- Department of Diabetes, School of Clinical Medical Sciences, University of Newcastle, Newcastle, UK
| | - K Højlund
- Department of Endocrinology, Odense University Hospital, Odense, Denmark
| | - J J Nolan
- Metabolic Research Unit, St James's Hospital & Trinity College Dublin, Dublin, Ireland
| | - D B Savage
- Metabolic Research Laboratories, Level 4, Institute of Metabolic Science, University of Cambridge, Addenbrooke's Hospital, Box 289, Hills Road, Cambridge, CB2 0QQ, UK.
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Abstract
AIMS Diabetes UK estimates a quarter of UK cases of diabetes are undiagnosed; 750,000 people have undiagnosed diabetes in addition to 2.25 million with known diabetes, but research studies examining this are contradictory. The aim was to determine the prevalence of, and risk factors for, undiagnosed diabetes in the population of England aged > 50 years and to calculate the percentage of cases of undiagnosed diabetes. METHODS This was a cross-sectional study in a nationally representative sample of 6739 people aged 52-79 years from the English Longitudinal Study of Ageing (ELSA) 2004/2005. Diabetes cases were ascertained by self-reported doctor diagnosis of diabetes. A fasting plasma glucose measurement after a minimum of 8-h fast was available for 2387 (38% of the participants without diabetes). Undiagnosed diabetes cases were based on a fasting plasma glucose >or= 7.0 mmol/l. RESULTS The overall weighted prevalence of diabetes was 9.1%; 502 people (7.5%) had self-reported diabetes (9.0% of men and 6.0% of women); 36 (1.7%) had undiagnosed diabetes (2.6% of men and 0.8% of women). Of cases of diabetes, 18.5% were undiagnosed (22% in men, 12% in women). Significant risk factors for undiagnosed diabetes were male sex, higher body mass index, waist circumference, systolic blood pressure and triglycerides. CONCLUSIONS In 2004 the prevalence of undiagnosed diabetes, and the proportion of cases of diabetes that were undiagnosed, appear smaller than in previous studies. This is likely to be due to increased awareness of diabetes and improved clinical care resulting in many of those with previously undetected disease having been diagnosed.
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Affiliation(s)
- M B Pierce
- Department of Epidemiology and Public Health, University College London, London, UK.
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Echouffo-Tcheugui JB, Simmons RK, Williams KM, Barling RS, Prevost AT, Kinmonth AL, Wareham NJ, Griffin SJ. The ADDITION-Cambridge trial protocol: a cluster -- randomised controlled trial of screening for type 2 diabetes and intensive treatment for screen-detected patients. BMC Public Health 2009; 9:136. [PMID: 19435491 PMCID: PMC2698850 DOI: 10.1186/1471-2458-9-136] [Citation(s) in RCA: 72] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2009] [Accepted: 05/12/2009] [Indexed: 01/01/2023] Open
Abstract
BACKGROUND The increasing prevalence of type 2 diabetes poses a major public health challenge. Population-based screening and early treatment for type 2 diabetes could reduce this growing burden. However, the benefits of such a strategy remain uncertain. METHODS AND DESIGN The ADDITION-Cambridge study aims to evaluate the effectiveness and cost-effectiveness of (i) a stepwise screening strategy for type 2 diabetes; and (ii) intensive multifactorial treatment for people with screen-detected diabetes in primary care. 63 practices in the East Anglia region participated. Three undertook the pilot study, 33 were allocated to three groups: no screening (control), screening followed by intensive treatment (IT) and screening plus routine care (RC) in an unbalanced (1:3:3) randomisation. The remaining 27 practices were randomly allocated to IT and RC. A risk score incorporating routine practice data was used to identify people aged 40-69 years at high-risk of undiagnosed diabetes. In the screening practices, high-risk individuals were invited to take part in a stepwise screening programme. In the IT group, diabetes treatment is optimised through guidelines, target-led multifactorial treatment, audit, feedback, and academic detailing for practice teams, alongside provision of educational materials for newly diagnosed participants. Primary endpoints are modelled cardiovascular risk at one year, and cardiovascular mortality and morbidity at five years after diagnosis of diabetes. Secondary endpoints include all-cause mortality, development of renal and visual impairment, peripheral neuropathy, health service costs, self-reported quality of life, functional status and health utility. Impact of the screening programme at the population level is also assessed through measures of mortality, cardiovascular morbidity, health status and health service use among high-risk individuals. DISCUSSION ADDITION-Cambridge is conducted in a defined high-risk group accessible through primary care. It addresses the feasibility of population-based screening for diabetes, as well as the benefits and costs of screening and intensive multifactorial treatment early in the disease trajectory. The intensive treatment algorithm is based on evidence from studies including individuals with clinically diagnosed diabetes and the education materials are informed by psychological theory. ADDITION-Cambridge will provide timely evidence concerning the benefits of early intensive treatment and will inform policy decisions concerning screening for type 2 diabetes. TRIAL REGISTRATION Current Controlled trials ISRCTN86769081.
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Affiliation(s)
| | - Rebecca K Simmons
- MRC Epidemiology Unit, Box 285, Addenbrooke's Hospital, Hills Road, Cambridge, CB2 0QQ, UK
| | - Kate M Williams
- General Practice and Primary Care Research Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, CB2 0SR, UK
| | - Roslyn S Barling
- General Practice and Primary Care Research Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, CB2 0SR, UK
| | - A Toby Prevost
- General Practice and Primary Care Research Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, CB2 0SR, UK
| | - Ann Louise Kinmonth
- General Practice and Primary Care Research Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, CB2 0SR, UK
| | - Nicholas J Wareham
- MRC Epidemiology Unit, Box 285, Addenbrooke's Hospital, Hills Road, Cambridge, CB2 0QQ, UK
| | - Simon J Griffin
- MRC Epidemiology Unit, Box 285, Addenbrooke's Hospital, Hills Road, Cambridge, CB2 0QQ, UK
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Echouffo-Tcheugui JB, Sargeant LA, Prevost AT, Williams KM, Barling RS, Butler R, Fanshawe T, Kinmonth AL, Wareham NJ, Griffin SJ. How much might cardiovascular disease risk be reduced by intensive therapy in people with screen-detected diabetes? Diabet Med 2008; 25:1433-9. [PMID: 19046242 DOI: 10.1111/j.1464-5491.2008.02600.x] [Citation(s) in RCA: 26] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
AIMS To assess the cardiovascular disease (CVD) risk of people with screen-detected Type 2 diabetes and to estimate the risk reduction achievable through early intensive pharmacological intervention. METHODS In ADDITION-Cambridge, diabetic patients were identified among people aged 40-69 years through a stepwise screening procedure including a risk score, random and fasting capillary blood glucose, HbA(1c) and oral glucose tolerance test. In those without prior macrovascular disease, 10-year CVD risk was computed using UK Prospective Diabetes Study (UKPDS) and Framingham engines. The absolute risk reduction achievable and its plausible range were predicted using relative risk reductions for individual therapies from published trials and sensitivity analysis. RESULTS Of the 867 individuals with undiagnosed diabetes, 19% had pre-existing CVD, 97% were overweight or obese, 86% had hypertension, 75% had dyslipidaemia, 20% had microalbuminuria and 18% were smokers. Of those with hypertension, 35% were not prescribed drugs and 42% were suboptimally treated. Of participants with dyslipidaemia, 68% were not prescribed medications and 22% were poorly controlled. Median 10-year CVD risk was 34.0%[interquartile range (IQR) 26.2-44.6] in men and 21.5% (IQR 15.7-28.7) in women using the UKPDS engine; 38.6% (IQR 27.8-53.0) in men and 24.6% (IQR 17.2-32.9) in women using Framingham equations. In the most conservative scenario (no additive effect of therapies), the absolute risk reduction achievable through multifactorial therapy ranged from 4.9 to 9.5% (UKPDS) and from 5.4 to 10.5% (Framingham). The corresponding ranges of numbers needed to treat were 11-20 and 10-19. CONCLUSIONS People with screen-detected diabetes have an adverse cardiovascular risk profile, which is potentially modifiable through application of existing treatment recommendations.
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Affiliation(s)
- J B Echouffo-Tcheugui
- MRC Epidemiology Unit and General Practice and Primary Care Research Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
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Janghorbani M, Amini M. Effects of gender and height on the oral glucose tolerance test: the isfahan diabetes prevention study. Rev Diabet Stud 2008; 5:163-70. [PMID: 19099088 PMCID: PMC2613268 DOI: 10.1900/rds.2008.5.163] [Citation(s) in RCA: 22] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/18/2008] [Revised: 11/11/2008] [Accepted: 11/28/2008] [Indexed: 11/03/2022] Open
Abstract
BACKGROUND Impaired fasting glucose (IFG) is more prevalent in men, whereas impaired glucose tolerance (IGT) is more prevalent in women. AIM To determine whether gender difference in the prevalence of glucose intolerance is related to height. METHODS A cross-sectional study of 2,368 first-degree relatives (FDR) of patients with type 2 diabetes was conducted between years 2003 to 2005. All participants (614 men and 1754 women) were in the age range 30-60 years, and were FDR of consecutive patients from outpatient clinics at Isfahan Endocrine and Metabolism Research Centre, Iran. All subjects underwent a standard 75 g 2-h oral glucose tolerance test (OGTT). Weight, height, waist and hip circumference, and glycated haemoglobin were also measured. RESULTS IGT was more common amongst women (OR 0.66; 95% CI 0.51, 0.87),whereas diabetes (OR 1.31; 95% CI 0.96, 1.78), and IFG (OR 1.41; 95% CI 1.10, 1.80) was more common amongst men. Women had a lower mean fasting plasma glucose (FPG) (p < 0.001), but showed higher 2hPG, and FPG-2hPG increase (p < 0.001). The gender difference in mean 2hPG and FPG-2hPG increase, was not evident after adjustment for height. Negative correlation to height was observed in 2hPG and FPG-2hPG increase, both in men and women (p < 0.001), but height showed little association with FPG. CONCLUSIONS Women had higher mean 2hPG and FPG-2hPG increase, but showed a lower FPG level than men. The inverse association between height and 2hPG and FPG-2hPG increase may be explained by gender difference.
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Affiliation(s)
- Mohsen Janghorbani
- School of Public Health, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Massoud Amini
- Isfahan Endocrine and Metabolism Research Center, Isfahan University of Medical Sciences, Isfahan, Iran
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Forouhi NG, Luan J, Cooper A, Boucher BJ, Wareham NJ. Baseline serum 25-hydroxy vitamin d is predictive of future glycemic status and insulin resistance: the Medical Research Council Ely Prospective Study 1990-2000. Diabetes 2008; 57:2619-25. [PMID: 18591391 PMCID: PMC2551670 DOI: 10.2337/db08-0593] [Citation(s) in RCA: 450] [Impact Index Per Article: 28.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/01/2008] [Accepted: 06/20/2008] [Indexed: 02/06/2023]
Abstract
OBJECTIVE Accumulating epidemiological evidence suggests that hypovitaminosis D may be associated with type 2 diabetes and related metabolic risks. However, prospective data using the biomarker serum 25-hydroxyvitamin D [25(OH)D] are limited and therefore examined in the present study. RESEARCH DESIGN AND METHODS A total of 524 randomly selected nondiabetic men and women, aged 40-69 years at baseline, with measurements for serum 25(OH)D and IGF-1 in the population-based Ely Study, had glycemic status (oral glucose tolerance), lipids, insulin, anthropometry, and blood pressure measured and metabolic syndrome risk (metabolic syndrome z score) derived at baseline and at 10 years of follow-up. RESULTS Age-adjusted baseline mean serum 25(OH)D was greater in men (64.5 nmol/l [95% CI 61.2-67.9]) than women (57.2 nmol/l [54.4,60.0]) and varied with season (highest late summer). Baseline 25(OH)D was associated inversely with 10-year risk of hyperglycemia (fasting glucose: beta = -0.0023, P = 0.019; 2-h glucose: beta = -0.0097, P = 0.006), insulin resistance (fasting insulin beta = -0.1467, P = 0.010; homeostasis model assessment of insulin resistance [HOMA-IR]: beta = -0.0059, P = 0.005), and metabolic syndrome z score (beta = -0.0016, P = 0.048) after adjustment for age, sex, smoking, BMI, season, and baseline value of each metabolic outcome variable. Associations with 2-h glucose, insulin, and HOMA-IR remained significant after further adjustment for IGF-1, parathyroid hormone, calcium, physical activity, and social class. CONCLUSIONS This prospective study reports inverse associations between baseline serum 25(OH)D and future glycemia and insulin resistance. These associations are potentially important in understanding the etiology of abnormal glucose metabolism and warrant investigation in larger, specifically designed prospective studies and randomized controlled trials of supplementation.
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Affiliation(s)
- Nita G Forouhi
- Medical Research Council Epidemiology Unit, Institute of Metabolic Science, Cambridge, UK.
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Assah FK, Brage S, Ekelund U, Wareham NJ. The association of intensity and overall level of physical activity energy expenditure with a marker of insulin resistance. Diabetologia 2008; 51:1399-407. [PMID: 18488189 PMCID: PMC2491413 DOI: 10.1007/s00125-008-1033-9] [Citation(s) in RCA: 44] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/01/2008] [Accepted: 04/07/2008] [Indexed: 01/01/2023]
Abstract
AIMS/HYPOTHESIS Physical activity is important in preventing insulin resistance, but it is unclear which dimension of activity confers this benefit. We examined the association of overall level and intensity of physical activity with fasting insulin level, a marker of insulin resistance. METHODS This was a cross-sectional analysis of the Medical Research Council Ely population-based cohort study (2000--2002). Physical activity energy expenditure (PAEE) in kJ kg(-1) min(-1) was measured by heart rate monitoring with individual calibration over a period of 4 days. The percentage of time spent above 1.5, 1.75 and 2 times resting heart rate (RHR) represented all light-to-vigorous, moderate-to-vigorous and vigorous activity, respectively. RESULTS Data from a total of 643 non-diabetic individuals (319 men, 324 women) aged 50 to 75 years were analysed. In multivariate linear regression analyses, adjusting for age, sex and body fat percentage, PAEE was significantly associated with fasting insulin (pmol/l) (beta = -0.875, p = 0.006). Time (% of total) spent above 1.75 x RHR and also time spent above 2 x RHR were both significantly associated with fasting insulin (beta = -0.0109, p = 0.007 and beta = -0.0365, p = 0.001 respectively), after adjusting for PAEE, age, sex and body fat percentage. Time spent above 1.5 x RHR was not significantly associated with fasting insulin in a similar model (beta = -0.0026, p = 0.137). CONCLUSIONS/INTERPRETATION The association between PAEE and fasting insulin level, a marker of insulin resistance, may be attributable to the time spent in moderate-to-vigorous and vigorous activity, but not to time spent in light-intensity physical activity.
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Affiliation(s)
- F. K. Assah
- MRC Epidemiology Unit, Institute of Metabolic Science, Addenbrooke’s Hospital, Box 285, Hills Road, Cambridge, CB2 0QQ UK
| | - S. Brage
- MRC Epidemiology Unit, Institute of Metabolic Science, Addenbrooke’s Hospital, Box 285, Hills Road, Cambridge, CB2 0QQ UK
| | - U. Ekelund
- MRC Epidemiology Unit, Institute of Metabolic Science, Addenbrooke’s Hospital, Box 285, Hills Road, Cambridge, CB2 0QQ UK
| | - N. J. Wareham
- MRC Epidemiology Unit, Institute of Metabolic Science, Addenbrooke’s Hospital, Box 285, Hills Road, Cambridge, CB2 0QQ UK
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Bindraban NR, van Valkengoed IGM, Mairuhu G, Holleman F, Hoekstra JBL, Michels BPJ, Koopmans RP, Stronks K. Prevalence of diabetes mellitus and the performance of a risk score among Hindustani Surinamese, African Surinamese and ethnic Dutch: a cross-sectional population-based study. BMC Public Health 2008; 8:271. [PMID: 18673544 PMCID: PMC2533321 DOI: 10.1186/1471-2458-8-271] [Citation(s) in RCA: 91] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2007] [Accepted: 08/01/2008] [Indexed: 11/21/2022] Open
Abstract
Background While the prevalence of type 2 diabetes mellitus (DM) is high, tailored risk scores for screening among South Asian and African origin populations are lacking. The aim of this study was, first, to compare the prevalence of (known and newly detected) DM among Hindustani Surinamese, African Surinamese and ethnic Dutch (Dutch). Second, to develop a new risk score for DM. Third, to evaluate the performance of the risk score and to compare it to criteria derived from current guidelines. Methods We conducted a cross-sectional population based study among 336 Hindustani Surinamese, 593 African Surinamese and 486 Dutch, aged 35–60 years, in Amsterdam. Logistic regressing analyses were used to derive a risk score based on non-invasively determined characteristics. The diagnostic accuracy was assessed by the area under the Receiver-Operator Characteristic curve (AUC). Results Hindustani Surinamese had the highest prevalence of DM, followed by African Surinamese and Dutch: 16.7, 8.1, 4.2% (age 35–44) and 35.0, 19.0, 8.2% (age 45–60), respectively. The risk score included ethnicity, body mass index, waist circumference, resting heart rate, first-degree relative with DM, hypertension and history of cardiovascular disease. Selection based on age alone showed the lowest AUC: between 0.57–0.62. The AUC of our score (0.74–0.80) was higher than that of criteria from guidelines based solely on age and BMI and as high as criteria that required invasive specimen collection. Conclusion In Hindustani Surinamese and African Surinamese populations, screening for DM should not be limited to those over 45 years, as is advocated in several guidelines. If selective screening is indicated, our ethnicity based risk score performs well as a screening test for DM among these groups, particularly compared to the criteria based on age and/or body mass index derived from current guidelines.
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Affiliation(s)
- Navin R Bindraban
- Department of Social Medicine, Academic Medical Centre of the University of Amsterdam, Amsterdam, The Netherlands.
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41
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Sandbaek A, Griffin SJ, Rutten G, Davies M, Stolk R, Khunti K, Borch-Johnsen K, Wareham NJ, Lauritzen T. Stepwise screening for diabetes identifies people with high but modifiable coronary heart disease risk. The ADDITION study. Diabetologia 2008; 51:1127-34. [PMID: 18443762 PMCID: PMC2440936 DOI: 10.1007/s00125-008-1013-0] [Citation(s) in RCA: 68] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/24/2007] [Accepted: 03/25/2008] [Indexed: 01/04/2023]
Abstract
AIMS/HYPOTHESIS The Anglo-Danish-Dutch study of intensive treatment in people with screen-detected diabetes in primary care (ADDITION) is a pragmatic randomised controlled trial of the effectiveness of intensified multi-factorial treatment on 5 year cardiovascular morbidity and mortality rates in people with screen-detected type 2 diabetes in the Netherlands, UK and Denmark. This paper describes the baseline characteristics of the study population, their estimated risk of coronary heart disease and the extent to which that risk is potentially modifiable. METHODS Stepwise screening strategies were performed using risk questionnaires and routine general practice data plus random blood glucose, HbA(1c) and fasting blood glucose measurement. Diabetes was diagnosed using the 1999 World Health Organization criteria and estimated 10 year coronary heart disease risk was calculated using the UK Prospective Diabetes Study risk engine. RESULTS Between April 2001 and December 2006, 3,057 people with screen-detected diabetes were recruited to the study (mean age 59.7 years, 58% men) after a stepwise screening programme involving 76,308 people screened in 334 general practices in three countries. Their median estimated 10 year risk of coronary heart disease was 11% in women (interquartile range 7-16%) and 21% (15-30%) in men. There were differences in the distribution of risk factors by country, linked to differences in approaches to screening and the extent to which risk factors had already been detected and treated. The mean HbA(1c) at recruitment was 7.0% (SD 1.6%). Of the people recruited, 73% had a blood pressure > or =140/90 and of these 58% were not on antihypertensive medication. Cholesterol levels were above 5.0 mmol/l in 70% of participants, 91% of whom were not being treated with lipid-lowering drugs. CONCLUSIONS/INTERPRETATION People with type 2 diabetes detected by screening and included in the ADDITION study have a raised and potentially modifiable risk of CHD. ClinicalTrials.gov ID no.: NCT 00237549.
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Affiliation(s)
- A. Sandbaek
- Department of General Practice, Institute of Public Health, University of Aarhus, Aarhus, Denmark
| | - S. J. Griffin
- MRC Epidemiology Unit, Institute of Metabolic Science, Box 285, Addenbrooke’s Hospital, Hills Road, Cambridge, CB2 0QQ UK
| | - G. Rutten
- Julius Centre for Health Sciences and Primary Care, University Medical Centre Utrecht, Utrecht, the Netherlands
| | - M. Davies
- Department of Cardiovascular Sciences, University of Leicester, Leicester, UK
| | - R. Stolk
- Department of Epidemiology, University Medical Centre Groningen, Groningen, the Netherlands
| | - K. Khunti
- Department of Health Sciences, University of Leicester, Leicester, UK
| | - K. Borch-Johnsen
- Department of General Practice, Institute of Public Health, University of Aarhus, Aarhus, Denmark
- Steno Diabetes Centre, Gentofte, Denmark
| | - N. J. Wareham
- MRC Epidemiology Unit, Institute of Metabolic Science, Box 285, Addenbrooke’s Hospital, Hills Road, Cambridge, CB2 0QQ UK
| | - T. Lauritzen
- Department of General Practice, Institute of Public Health, University of Aarhus, Aarhus, Denmark
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42
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Rahman M, Simmons RK, Harding AH, Wareham NJ, Griffin SJ. A simple risk score identifies individuals at high risk of developing Type 2 diabetes: a prospective cohort study. Fam Pract 2008; 25:191-6. [PMID: 18515811 DOI: 10.1093/fampra/cmn024] [Citation(s) in RCA: 89] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND Randomized trials have demonstrated that Type 2 diabetes is preventable among high-risk individuals. To date, such individuals have been identified through population screening using the oral glucose tolerance test. OBJECTIVE To assess whether a risk score comprising only routinely collected non-biochemical parameters was effective in identifying those at risk of developing Type 2 diabetes. METHODS Population-based prospective cohort (European Prospective Investigation of Cancer-Norfolk). Participants aged 40-79 recruited from UK general practices attended a health check between 1993 and 1998 (n = 25 639) and were followed for a mean of 5 years for diabetes incidence. The Cambridge Diabetes Risk Score was computed for 24 495 individuals with baseline data on age, sex, prescription of steroids and anti-hypertensive medication, family history of diabetes, body mass index and smoking status. We examined the incidence of diabetes across quintiles of the risk score and plotted a receiver operating characteristic (ROC) curve to assess discrimination. RESULTS There were 323 new cases of diabetes, a cumulative incidence of 2.76/1000 person-years. Those in the top quintile of risk were 22 times more likely to develop diabetes than those in the bottom quintile (odds ratio 22.3; 95% CI: 11.0-45.4). In all, 54% of all clinically incident cases occurred in individuals in the top quintile of risk (risk score > 0.37). The area under the ROC was 74.5%. CONCLUSION The risk score is a simple, effective tool for the identification of those at risk of developing Type 2 diabetes. Such methods may be more feasible than mass population screening with biochemical tests in defining target populations for prevention programmes.
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Affiliation(s)
- Mushtaqur Rahman
- General Practice and Primary Care Research Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge
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43
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Romon I, Jougla E, Balkau B, Fagot-Campagna A. The burden of diabetes-related mortality in France in 2002: an analysis using both underlying and multiple causes of death. Eur J Epidemiol 2008; 23:327-34. [PMID: 18386133 DOI: 10.1007/s10654-008-9235-5] [Citation(s) in RCA: 32] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2007] [Accepted: 03/13/2008] [Indexed: 11/29/2022]
Affiliation(s)
- Isabelle Romon
- French Institute for Public Health Surveillance, Institut de Veille Sanitaire (InVS), 12 rue du Val d'Osne, 94415 Saint-Maurice Cedex, France.
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44
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Sicree RA, Zimmet PZ, Dunstan DW, Cameron AJ, Welborn TA, Shaw JE. Differences in height explain gender differences in the response to the oral glucose tolerance test- the AusDiab study. Diabet Med 2008; 25:296-302. [PMID: 18307457 DOI: 10.1111/j.1464-5491.2007.02362.x] [Citation(s) in RCA: 95] [Impact Index Per Article: 5.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/03/2023]
Abstract
AIM To determine the extent of gender-related differences in the prevalence of glucose intolerance for the Australian population and whether body size may explain such differences. METHODS Cross-sectional data were collected from a national cohort of 11 247 Australians aged > or = 25 years. Glucose tolerance status was assessed according to both fasting plasma glucose (FPG) and 2-h plasma glucose (2hPG) levels following a 75-g oral glucose tolerance test (OGTT). Anthropometric and glycated haemoglobin measurements were also made. RESULTS Undiagnosed diabetes and non-diabetic glucose abnormalities were more prevalent among men than women when based only on the FPG results (diabetes: men 2.2%, women 1.6%, P = 0.02; impaired fasting glycaemia: men 12.3%, women 6.6%, P < 0.001). In contrast 16.0% of women and 13.0% of men had a 2hPG abnormality (either diabetes or impaired glucose tolerance, P = 0.14). Women had a mean FPG 0.3 mmol/l lower than men (P < 0.001), but 2hPG 0.3 mmol/l higher (P = 0.002) and FPG-2hPG increment 0.5 mmol/l greater (P < 0.001). The gender difference in mean 2hPG and FPG-2hPG increment disappeared following adjustment for height. For both genders, those in the shortest height quartile had 2hPG levels 0.5 mmol/l higher than the tallest quartile, but height showed almost no relationship with the FPG. CONCLUSIONS Men and women had different glycaemic profiles; women had higher mean 2hPG levels, despite lower fasting levels. It appeared that the higher 2hPG levels for women related to lesser height and may be a consequence of using a fixed glucose load in the OGTT, irrespective of body size.
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Affiliation(s)
- R A Sicree
- International Diabetes Institute, Melbourne, Victoria, Australia.
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45
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Dunger DB, Salgin B, Ong KK. Session 7: Early nutrition and later health early developmental pathways of obesity and diabetes risk. Proc Nutr Soc 2007; 66:451-7. [PMID: 17637098 DOI: 10.1017/s0029665107005721] [Citation(s) in RCA: 64] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
Size at birth and patterns of postnatal weight gain have been associated with adult risk for the development of type 2 diabetes in many populations, but the putative pathophysiological link remains unknown. Studies of contemporary populations indicate that rapid infancy weight gain, which may follow fetal growth restriction, is an important risk factor for the development of childhood obesity and insulin resistance. Data from the Avon Longitudinal Study of Pregnancy and Childhood shows that rapid catch-up weight gain can lead to the development of insulin resistance, as early as 1 year of age, in association with increasing accumulation of central abdominal fat mass. In contrast, the disposition index, which reflects the beta-cells ability to maintain insulin secretion in the face of increasing insulin resistance, is much more closely related to ponderal index at birth than postnatal catch-up weight gain. Infants with the lowest ponderal index at birth show a reduced disposition index at aged 8 years associated with increases in fasting NEFA levels. The disposition index is also closely related to childhood height gain and insulin-like growth factor-I (IGF-I) levels; reduced insulin secretory capacity being associated with reduced statural growth, and relatively short stature with reduced IGF-I levels at age 8 years. IGF-I may have an important role in the maintenance of beta-cell mass, as demonstrated by recent studies of pancreatic beta-cell IGF-I receptor knock-out and adult observational studies indicating that low IGF-I levels are predictive of subsequent risk for the development of type 2 diabetes. However, as insulin secretion is an important determinant of IGF-I levels, cause and effect may be difficult to establish. In conclusion, although rapid infancy weight gain and increasing rates of childhood obesity will increase the risk for the development of insulin resistance, prenatal and postnatal determinants of beta-cell mass may ultimately be the most important determinants of an individual's ability to maintain insulin secretion in the face of increasing insulin resistance, and thus risk for the development of type 2 diabetes.
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Affiliation(s)
- D B Dunger
- University Department of Paediatrics, University of Cambridge, Addenbrooke's Hospital, Box 116, Cambridge CB2 2QQ, UK.
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Duval S, Vazquez G, Baker WL, Jacobs DR. The Collaborative Study of Obesity and Diabetes in Adults (CODA) project: meta-analysis design and description of participating studies. Obes Rev 2007; 8:263-76. [PMID: 17444967 DOI: 10.1111/j.1467-789x.2006.00263.x] [Citation(s) in RCA: 13] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
The Collaborative Study of Obesity and Diabetes in Adults (CODA) project was formed to establish an international database of studies of abdominal obesity and type 2 diabetes mellitus (T2DM), and to provide analyses of these associations using individual participant data (IPD) meta-analytic techniques. The collaboration involves obtaining raw data from existing studies. The main objectives of the collaboration are to assess which simple anthropometric indices most closely predict the risk of T2DM in adults, and to investigate ethnicity and other factors that potentially modify that prediction. A second task related to primary prevention of diabetes subsequently evolved, the CODA-2 project, and is concerned with population-based methods to identify people most likely to benefit from diabetes interventions. This article describes the meta-analysis design and the studies involved. The collaboration currently has 37 studies enrolled, providing data on 260,000 participants. The proposed IPD meta-analyses will help resolve several outstanding issues in diabetes.
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Affiliation(s)
- S Duval
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, MN 55454-1015, USA.
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Spelman LM, Walsh PI, Sharifi N, Collins P, Thakore JH. Impaired glucose tolerance in first-episode drug-naïve patients with schizophrenia. Diabet Med 2007; 24:481-5. [PMID: 17381506 DOI: 10.1111/j.1464-5491.2007.02092.x] [Citation(s) in RCA: 263] [Impact Index Per Article: 15.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
AIMS To determine whether there is an association between Type 2 diabetes mellitus and schizophrenia, independent of medication. METHODS In this cross-sectional study we performed an oral glucose tolerance test on 38 non-obese white Caucasians who fulfilled the criteria for first-episode drug-naïve schizophrenia, 38 control subjects (matched for age, gender, smoking status, alcohol intake and ethnicity) and 44 first-degree relatives of the patients. RESULTS The frequency of impaired glucose tolerance (IGT), defined by World Health Organization criteria, was 10.5% (n = 4) in patients with schizophrenia, 18.2% (n = 8) in unaffected relatives and 0.0% in healthy control subjects (chi(2) = 4.22, d.f. = 2, P < 0.05). CONCLUSIONS The high point prevalence of IGT in never-treated patients and relatives supports either shared environmental or genetic predisposition to IGT. Both patients and their relatives present an ideal cost-effective opportunity to screen for Type 2 diabetes mellitus, as they are both easily identifiable.
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Affiliation(s)
- L M Spelman
- Neuroscience Centre, St Vincent's Hospital, Dublin, Ireland
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48
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Young EH, Wareham NJ, Farooqi S, Hinney A, Hebebrand J, Scherag A, O'rahilly S, Barroso I, Sandhu MS. The V103I polymorphism of the MC4R gene and obesity: population based studies and meta-analysis of 29 563 individuals. Int J Obes (Lond) 2007; 31:1437-41. [PMID: 17356525 PMCID: PMC2683751 DOI: 10.1038/sj.ijo.0803609] [Citation(s) in RCA: 94] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
Abstract
BACKGROUND Previous studies have suggested that a variant in the melanocortin-4 receptor (MC4R) gene is important in protecting against common obesity. Larger studies are needed, however, to confirm this relation. METHODS We assessed the association between the V103I polymorphism in the MC4R gene and obesity in three UK population based cohort studies, totalling 8304 individuals. We also did a meta-analysis of relevant studies, involving 10 975 cases and 18 588 controls, to place our findings in context. FINDING In an analysis of all studies, individuals carrying the isoleucine allele had an 18% (95% confidence interval 4-30%, P=0.015) lower risk of obesity compared with non-carriers. There was no heterogeneity among studies and no apparent publication bias. INTERPRETATION This study confirms that the V103I polymorphism protects against human obesity at a population level. As such it provides proof of principle that specific gene variants may, at least in part, explain susceptibility and resistance to common forms of human obesity. A better understanding of the mechanisms underlying this association will help determine whether changes in MC4R activity have therapeutic potential.
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Affiliation(s)
- E H Young
- MRC Epidemiology Unit, Strangeways Research Laboratory, Cambridge, UK.
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49
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Collins SC, Luan J, Thompson AJ, Daly A, Semple RK, O’Rahilly S, Wareham NJ, Barroso I. Adiponectin receptor genes: mutation screening in syndromes of insulin resistance and association studies for type 2 diabetes and metabolic traits in UK populations. Diabetologia 2007; 50:555-62. [PMID: 17216283 PMCID: PMC1794135 DOI: 10.1007/s00125-006-0534-7] [Citation(s) in RCA: 21] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/25/2006] [Accepted: 10/10/2006] [Indexed: 12/05/2022]
Abstract
AIMS/HYPOTHESIS Adiponectin is an adipokine with insulin-sensitising and anti-atherogenic properties. Several reports suggest that genetic variants in the adiponectin gene are associated with circulating levels of adiponectin, insulin sensitivity and type 2 diabetes risk. Recently two receptors for adiponectin have been cloned. Genetic studies have yielded conflicting results on the role of these genes and type 2 diabetes predisposition. In this study we aimed to evaluate the potential role of genetic variation in these genes in syndromes of severe insulin resistance, type 2 diabetes and in related metabolic traits in UK Europid populations. MATERIALS AND METHODS Exons and splice junctions of the adiponectin receptor 1 and 2 genes (ADIPOR1; ADIPOR2) were sequenced in patients from our severe insulin resistance cohort (n=129). Subsequently, 24 polymorphisms were tested for association with type 2 diabetes in population-based type 2 diabetes case-control studies (n=2,127) and with quantitative traits in a population-based longitudinal study (n=1,721). RESULTS No missense or nonsense mutations in ADIPOR1 and ADIPOR2 were detected in the cohort of patients with severe insulin resistance. None of the 24 polymorphisms (allele frequency 2.3-48.3%) tested was associated with type 2 diabetes in the case-control study. Similarly, none of the polymorphisms was associated with fasting plasma insulin, fasting and 2-h post-load plasma glucose, 30-min insulin increment or BMI. CONCLUSIONS/INTERPRETATION Genetic variation in ADIPOR1 and ADIPOR2 is not a major cause of extreme insulin resistance in humans, nor does it contribute in a significant manner to type 2 diabetes risk and related traits in UK Europid populations.
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Affiliation(s)
- S. C. Collins
- Metabolic Disease Group, The Wellcome Trust Sanger Institute, The Wellcome Trust Genome Campus, Hinxton, Cambridgeshire, CB10 1SA UK
| | - J. Luan
- MRC Epidemiology Unit, Elsie Widdowson Laboratory, Fulbourn Road, Cambridge, UK
| | - A. J. Thompson
- Metabolic Disease Group, The Wellcome Trust Sanger Institute, The Wellcome Trust Genome Campus, Hinxton, Cambridgeshire, CB10 1SA UK
| | - A. Daly
- Metabolic Disease Group, The Wellcome Trust Sanger Institute, The Wellcome Trust Genome Campus, Hinxton, Cambridgeshire, CB10 1SA UK
| | - R. K. Semple
- Department of Clinical Biochemistry, University of Cambridge, Cambridge, UK
- Department of Medicine, University of Cambridge, Cambridge, UK
| | - S. O’Rahilly
- Department of Clinical Biochemistry, University of Cambridge, Cambridge, UK
- Department of Medicine, University of Cambridge, Cambridge, UK
| | - N. J. Wareham
- MRC Epidemiology Unit, Elsie Widdowson Laboratory, Fulbourn Road, Cambridge, UK
| | - I. Barroso
- Metabolic Disease Group, The Wellcome Trust Sanger Institute, The Wellcome Trust Genome Campus, Hinxton, Cambridgeshire, CB10 1SA UK
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50
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Mesa JL, Loos RJ, Franks PW, Ong KK, Luan J, O'Rahilly S, Wareham NJ, Barroso I. Lamin A/C polymorphisms, type 2 diabetes, and the metabolic syndrome: case-control and quantitative trait studies. Diabetes 2007; 56:884-9. [PMID: 17327461 PMCID: PMC2668858 DOI: 10.2337/db06-1055] [Citation(s) in RCA: 24] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
Mutations in the LMNA gene, encoding the nuclear envelope protein lamin A/C, are responsible for a number of distinct disease entities including Dunnigan-type familial partial lipodystrophy. Dunningan-type lipodystrophy is characterized by loss of subcutaneous adipose tissue, insulin resistance, dyslipidemia, and type 2 diabetes and shares many of the features of the metabolic syndrome. Furthermore, several genome-wide linkage scans for type 2 diabetes have found evidence of linkage at chromosome 1q21.2, the region that harbors the LMNA gene. Therefore, LMNA is a biological and positional candidate for type 2 diabetes susceptibility. Previous studies have reported association between a common LMNA variant (1908C>T; rs4641) and adverse metabolic traits in ethnically diverse populations from Asia and North America. In the present study, we characterized the common variation across the LMNA gene (including rs4641) and tested for association with type 2 diabetes in two large case-control studies (n = 2,052) and with features of the metabolic syndrome in a separate cohort study (n = 1,572). Despite our study being sufficiently powered to detect effects similar and even smaller in magnitude than those previously reported, none of the LMNA single nucleotide polymorphisms were statistically significantly associated with type 2 diabetes or the metabolic syndrome. Thus, it appears unlikely that variation at LMNA substantially increases the risk of type 2 diabetes or related traits in U.K. Europids.
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Affiliation(s)
- José L. Mesa
- Medical Research Center Epidemiology Unit, Cambridge, U.K
| | - Ruth J.F. Loos
- Medical Research Center Epidemiology Unit, Cambridge, U.K
| | - Paul W. Franks
- Medical Research Center Epidemiology Unit, Cambridge, U.K
- Division of Medicine, Department of Public Health and Clinical Medicine, Umeå University Hospital, Umeå, Sweden
| | - Ken K. Ong
- Medical Research Center Epidemiology Unit, Cambridge, U.K
| | - Jian'an Luan
- Medical Research Center Epidemiology Unit, Cambridge, U.K
| | - Stephen O'Rahilly
- University Department of Clinical Biochemistry, Cambridge Institute for Medical Research, Cambridge, U.K
| | | | - Inês Barroso
- Metabolic Disease Group, The Wellcome Trust Sanger Institute, Hinxton, U.K
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