One hour post-load plasma glucose and 3 year risk of worsening fasting and 2 hour glucose tolerance in the RISC cohort

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Influence of blood glucose on heart rate and cardiac autonomic function. The DESIR study.

International audienceOBJECTIVES:   To evaluate in a general population, the relationships between dysglycaemia, insulin resistance and metabolic variables, and heart rate, heart rate recovery and heart rate variability. METHODS:   Four hundred and forty-seven participants in the Data from an Epidemiological Study on the Insulin Resistance syndrome (DESIR) study were classified according to glycaemic status over the preceding 9 years. All were free of self-reported cardiac antecedents and were not taking drugs which alter heart rate. During five consecutive periods: rest, deep breathing, recovery, rest and lying to standing, heart rate and heart rate varability were evaluated and compared by ANCOVA and trend tests across glycaemic classes. Spearman correlation coefficients quantified the relations between cardio-metabolic risk factors, heart rate and heart rate varability. RESULTS:   Heart rate differed between glycaemic groups, except during deep breathing. Between rest and deep-breathing periods, patients with diabetes had a lower increase in heart rate than others (P(trend) < 0.01); between deep breathing and recovery, the heart rate of patients with diabetes continued to increase, for others, heart rate decreased (P(trend) < 0.009). Heart rate was correlated with capillary glucose and triglycerides during the five test periods. Heart rate variability differed according to glycaemic status, especially during the recovery period. After age, sex and BMI adjustment, heart rate variability was correlated with triglycerides at two test periods. Change in heart rate between recovery and deep breathing was negatively correlated with heart rate variability at rest, (r=-0.113, P < 0.05): lower resting heart rate variability was associated with heart rate acceleration. CONCLUSIONS:   Heart rate, but not heart rate variability, was associated with glycaemic status and capillary glucose. After deep breathing, heart rate recovery was altered in patients with known diabetes and was associated with reduced heart rate variability. Being overweight was a major correlate of heart rate variability

Association between socioeconomic status and adiposity in urban Cameroon

Background As the relation between socioeconomic status (SES) and obesity may depend on the stage of development of a country, this relation is assessed in adults from urban Cameroon. Methods A sample comprising 1530 women and 1301 men aged 25 years and above, from 1897 households in the Biyem-Assi health area in the capital of Cameroon, Yaoundé, were interviewed about their household amenities, occupation, and education. Weight, height, and waist circumference were measured and subjects were classified as obese if their BMI ≥ 30 kg/m2 or overweight if BMI was between 25.0 and 29.9 kg/m2. Abdominal obesity was defined by a waist circumference ≥80 cm in women and ≥94 cm in men. Results Of the sample studied 33% of women and 30% of men were overweight (P < 0.08), whereas 22% of women and 7% of men were obese (P < 0.001). Abdominal obesity was present in 67% of women and 18% of men (P < 0.001). After adjusting for age, leisure time physical activity, alcohol consumption, and tobacco smoking, the prevalence of overweight + obesity, obesity, and abdominal obesity increased with quartiles of household amenities in both genders and with occupational level in men. Conclusion SES is positively associated with adiposity in urban Cameroon after adjusting for confounding factor

Birth Weight, Body Silhouette Over the Life Course, and Incident Diabetes in 91,453 Middle-Aged Women From the French Etude Epidemiologique de Femmes de la Mutuelle Générale de l'Education Nationale (E3N) Cohort

International audienceOBJECTIVE: Obesity and increases in body weight in adults are considered to be among the most important risk factors for type 2 diabetes. Low birth weight is also associated with a higher diabetes incidence. We aimed to examine to what extent the evolution of body shape, from childhood to adulthood, is related to incident diabetes in late adulthood. RESEARCH DESIGN AND METHODS: Etude Epidemiologique de Femmes de la Mutuelle Générale de l'Education Nationale (E3N) is a cohort study of French women born in 1925-1950 and followed by questionnaire every 2 years. At baseline, in 1990, women were asked to report their current weight, height, and body silhouette at various ages. Birth weight was recorded in 2002. Cases of diabetes were self-reported or obtained by drug reimbursement record linkage and further validated. RESULTS: Of the 91,453 women who were nondiabetic at baseline, 2,534 developed diabetes over the 15 years of follow-up. Birth weight and body silhouette at 8 years, at menarche, and in young adulthood (20-25 years) were inversely associated with the risk of diabetes, independently of adult BMI during follow-up (all P(trend) < 0.001). In mid-adulthood (35-40 years), the association was reversed, with an increase in risk related to a larger body silhouette. An increase in body silhouette from childhood to mid-adulthood amplified the risk of diabetes. CONCLUSIONS: Low birth weight and thinness until young adulthood may increase the risk of diabetes, independently of adult BMI during follow-up. Young women who were lean children should be especially warned against weight gain

Wpływ hiperinsulinemii na częstość zgonów z powodu pierwotnego raka wątroby i nowotworów o innych lokalizacjach

WSTĘP. Celem pracy jest wykazanie związku insulinemii z umieralnością z powodu nowotworów o różnych lokalizacjach. MATERIAŁ I METODY. Prospektywne badanie kohortowe objęło 6237 aktywnych zawodowo mężczyzn w wieku 44-55 lat (w momencie rozpoczęcia badania), niechorujących na cukrzycę. Oceniano umieralność z powodu nowotworów w odniesieniu do wyjściowych stężeń insuliny na czczo oraz 2 godziny po doustnym obciążeniu 75 g glukozy. WYNIKI. Podczas 23,8 lat obserwacji w grupie 6237 mężczyzn zmarło 1739, z tego 778 (45%) z powodu nowotworów. Częstość zgonów z powodu pierwotnego raka wątroby wykazywała silny związek z wyjściową hiperinsulinemią, zarówno na czczo (ryzyko względne 2,72; 95% CI: 1,87&#8211;3,94), jak i w 2. godzinie testu tolerancji glukozy (3,41; 2,23-5,21) - po korekcji względem wieku. Natomiast u osób z podwyższonym stężeniem insuliny na czczo obserwowano zmniejszenie umieralności z powodu nowotworów wargi, jamy ustnej i gardła (ryzyko względne 0,55; 0,41-0,75) oraz krtani (ryzyko względne 0,63; 0,47-0,83). Stężenie insuliny 2 godziny po obciążeniu glukozą było odwrotnie proporcjonalne do częstości zgonów z powodu raka żołądka (ryzyko względne 0,62; 0,43-0,90) i krtani (0,66; 0,50-0,89). Po uwzględnieniu innych czynników ryzyka zależności te pozostawały niezmienione. W analizie podgrup - mężczyzn palących tytoń oraz nienadużywających alkoholu - stężenia insuliny wykazywały ujemny związek z częstością zgonów z powodu wymienionych nowotworów. WNIOSKI. Hiperinsulinemia obwodowa (wskaźnik bardzo wysokich stężeń insuliny w układzie żyły wrotnej) koreluje ze zwiększeniem umieralności z powodu pierwotnego raka wątroby u mężczyzn niechorujących na cukrzycę. Odwrotną zależność wykazano dla nowotworów wargi, jamy ustnej, gardła, krtani oraz żołądka

Early metabolic markers identify potential targets for the prevention of type 2 diabetes

Aims/hypothesis The aims of this study were to evaluate systematically the predictive power of comprehensive metabolomics profiles in predicting the future risk of type 2 diabetes, and to identify a panel of the most predictive metabolic markers. Methods We applied an unbiased systems medicine approach to mine metabolite combinations that provide added value in predicting the future incidence of type 2 diabetes beyond known risk factors. We performed mass spectrometry-based targeted, as well as global untargeted, metabolomics, measuring a total of 568 metabolites, in a Finnish cohort of 543 nondiabetic individuals from the Botnia Prospective Study, which included 146 individuals who progressed to type 2 diabetes by the end of a 10 year follow-up period. Multivariate logistic regression was used to assess statistical associations, and regularised least-squares modelling was used to perform machine learning-based risk classification and marker selection. The predictive performance of the machine learning models and marker panels was evaluated using repeated nested cross-validation, and replicated in an independent French cohort of 1044 individuals including 231 participants who progressed to type 2 diabetes during a 9 year follow-up period in the DESIR (Data from an Epidemiological Study on the Insulin Resistance Syndrome) study. Results Nine metabolites were negatively associated (potentially protective) and 25 were positively associated with progression to type 2 diabetes. Machine learning models based on the entire metabolome predicted progression to type 2 diabetes (area under the receiver operating characteristic curve, AUC = 0.77) significantly better than the reference model based on clinical risk factors alone (AUC = 0.68; DeLong's p = 0.0009). The panel of metabolic markers selected by the machine learning-based feature selection also significantly improved the predictive performance over the reference model (AUC = 0.78; p = 0.00019; integrated discrimination improvement, IDI = 66.7%). This approach identified novel predictive biomarkers, such as alpha-tocopherol, bradykinin hydroxyproline, X-12063 and X-13435, which showed added value in predicting progression to type 2 diabetes when combined with known biomarkers such as glucose, mannose and alpha-hydroxybutyrate and routinely used clinical risk factors. Conclusions/interpretation This study provides a panel of novel metabolic markers for future efforts aimed at the prevention of type 2 diabetes.Peer reviewe

Nine-year incident diabetes is predicted by fatty liver indices: the French D.E.S.I.R. study

<p>Abstract</p> <p>Background</p> <p>Fatty liver is known to be linked with insulin resistance, alcohol intake, diabetes and obesity. Biopsy and even scan-assessed fatty liver are not always feasible in clinical practice. This report evaluates the predictive ability of two recently published markers of fatty liver: the Fatty Liver Index (FLI) and the NAFLD fatty liver score (NAFLD-FLS), for 9-year incident diabetes, in the French general-population cohort: Data from an Epidemiological Study on the Insulin Resistance syndrome (D.E.S.I.R).</p> <p>Methods</p> <p>At baseline, there were 1861 men and 1950 women, non-diabetic, aged 30 to 65 years. Over the follow-up, 203 incident diabetes cases (140 men, 63 women) were identified by diabetes-treatment or fasting plasma glucose ≥ 7.0 mmol/l. The FLI includes: BMI, waist circumference, triglycerides and gamma glutamyl transferase, and the NAFLD-FLS: the metabolic syndrome, diabetes, insulin, alanine aminotransferase, and asparate aminotransferase. Logistic regression was used to determine the odds ratios for incident diabetes associated with categories of the fatty liver indices.</p> <p>Results</p> <p>In comparison to those with a FLI < 20, the age-adjusted odds ratio (95% confidence interval) for diabetes for a FLI ≥ 70 was 9.33 (5.05-17.25) for men and 36.72 (17.12-78.76) for women; these were attenuated to 3.43 (1.61-7.28) and 11.05 (4.09 29.81), after adjusting on baseline glucose, insulin, hypertension, alcohol intake, physical activity, smoking and family antecedents of diabetes; odds ratios increased to 4.71 (1.68-13.16) and 22.77 (6.78-76.44) in those without an excessive alcohol intake. The NAFLD-FLS also predicted incident diabetes, but with odds ratios much lower in women, similar in men.</p> <p>Conclusions</p> <p>These fatty liver indexes are simple clinical tools for evaluating the extent of liver fat and they are predictive of incident diabetes. Physicians should screen for diabetes in patients with fatty liver.</p

Decreased insulin secretion and increased risk of type 2 diabetes associated with allelic variations of the WFS1 gene: the Data from Epidemiological Study on the Insulin Resistance Syndrome (DESIR) prospective study

We investigated associations of allelic variations in the WFS1 gene with insulin secretion and risk of type 2 diabetes in a general population prospective study.We studied 5,110 unrelated French men and women who participated in the prospective Data from Epidemiological Study on the Insulin Resistance Syndrome (DESIR) study. Additional cross-sectional analyses were performed on 4,472 French individuals with type 2 diabetes and 3,065 controls. Three single nucleotide polymorphisms (SNPs) were genotyped: rs10010131, rs1801213/rs7672995 and rs734312.We observed statistically significant associations between the major alleles of the three variants and prevalent type 2 diabetes in the DESIR cohort at baseline. Cox analyses showed an association between the G-allele of rs10010131 and incident type 2 diabetes (HR 1.34, 95% CI 1.08-1.70, p = 0.007). Similar results were observed for the G-allele of rs1801213 and the A-allele of rs734312. the GGA haplotype was associated with an increased risk of diabetes as compared with the ACG haplotype (HR 1.26, 95% CI 1.04-1.42, p = 0.02). We also observed statistically significant associations of the three SNPs with plasma glucose, HbA(1c) levels and insulin secretion at baseline and throughout the study in individuals with type 2 diabetes or at risk of developing diabetes. However, no association was observed in those who remained normoglycaemic at the end of the follow-up. Associations between the three variants and type 2 diabetes were replicated in cross-sectional studies of type 2 diabetic patients in comparison with a non-diabetic control group.The most frequent haplotype at the haplotype block containing the WFS1 gene modulated insulin secretion and was associated with an increased risk of type 2 diabetes.Societe Francophone du Diabete (SFD - Alfediam)Association Diabete Risque Vasculaire (ADRV), FranceCoordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)INSERMCNAMTSLillyNovartis PharmaSanofi-AventisINSERM (Reseaux en Sante Publique, Interactions entre les determinants de la sante)Association Diabete Risque VasculaireFederation Francaise de CardiologieLa Fondation de FranceALFEDIAMONIVINSArdix MedicalBayer DiagnosticsBecton DickinsonCardionicsMerck SanteNovo NordiskPierre FabreRocheTopconUniv Paris 07, INSERM, Res Unit 695, F-75018 Paris, FranceFed Univ Hlth Sci Porto Alegre, Postgradut Program Hlth Sci, Porto Alegre, RS, BrazilUniversidade Federal de São Paulo, Mol Endocrinol Lab, São Paulo, BrazilAssistance Publ Hop Paris Cochin Hosp, Dept Immunol & Diabetol, Paris, FranceUniv Paris 05, UFR Med, Paris, FranceUniv Paris 07, UFR Med, Paris, FranceAssistance Publ Hop Paris Bichat Hosp, Dept Endocrinol Diabetol & Nutr, Paris, FranceInst Inter Reg Sante IRSA, La Riche, FranceINSERM, U1018, CESP, Ctr Res Epidemiol & Populat Hlth, Villejuif, FranceUniv Paris 11, UMRS 1018, Villejuif, FranceUniversidade Federal de São Paulo, Mol Endocrinol Lab, São Paulo, BrazilCAPES: 1798-09-0Web of Scienc

Evaluating the association of common PBX1 variants with type 2 diabetes

<p>Abstract</p> <p>Background</p> <p><it>PBX1 </it>is a biological candidate gene for type 2 diabetes at the 1q21-q24 susceptibility locus. The aim of this study was to evaluate the association of common <it>PBX1 </it>variants with type 2 diabetes in French Caucasian subjects.</p> <p>Methods</p> <p>Employing a case-control design, we genotyped 39 SNPs spanning the <it>PBX1 </it>locus in 3,093 subjects to test for association with type 2 diabetes.</p> <p>Results</p> <p>Several <it>PBX1 </it>SNPs, including the G21S coding SNP rs2275558, were nominally associated with type 2 diabetes but the strongest result was obtained with the intron 2 SNP rs2792248 (P = 0.004, OR 1.20 [95% CI 1.06–1.37]). The SNPSpD multiple testing correction method gave a significance threshold of P = 0.002 for the 39 SNPs genotyped, indicating that the rs2792248 association did not survive multiple testing adjustment. SNP rs2792248 did not show evidence of association with the French 1q linkage signal (P = 0.31; weighted NPL score 2.16). None of the <it>PBX1 </it>SNPs nominally associated with type 2 diabetes were associated with a range of quantitative metabolic traits in the normoglycemic control subjects</p> <p>Conclusion</p> <p>The available data does not support a major influence of common <it>PBX1 </it>variants on type 2 diabetes susceptibility or quantitative metabolic traits. In order to make progress in identifying the elusive susceptibility variants in the 1q region it will be necessary to carry out further large association studies, meta-analyses of existing data from individual studies, and deep resequencing of the 1q region.</p