Fatty acids in the de novo lipogenesis pathway and incidence of type 2 diabetes: A pooled analysis of prospective cohort studies.

BACKGROUND: De novo lipogenesis (DNL) is the primary metabolic pathway synthesizing fatty acids from carbohydrates, protein, or alcohol. Our aim was to examine associations of in vivo levels of selected fatty acids (16:0, 16:1n7, 18:0, 18:1n9) in DNL with incidence of type 2 diabetes (T2D). METHODS AND FINDINGS: Seventeen cohorts from 12 countries (7 from Europe, 7 from the United States, 1 from Australia, 1 from Taiwan; baseline years = 1970-1973 to 2006-2010) conducted harmonized individual-level analyses of associations of DNL-related fatty acids with incident T2D. In total, we evaluated 65,225 participants (mean ages = 52.3-75.5 years; % women = 20.4%-62.3% in 12 cohorts recruiting both sexes) and 15,383 incident cases of T2D over the 9-year follow-up on average. Cohort-specific association of each of 16:0, 16:1n7, 18:0, and 18:1n9 with incident T2D was estimated, adjusted for demographic factors, socioeconomic characteristics, alcohol, smoking, physical activity, dyslipidemia, hypertension, menopausal status, and adiposity. Cohort-specific associations were meta-analyzed with an inverse-variance-weighted approach. Each of the 4 fatty acids positively related to incident T2D. Relative risks (RRs) per cohort-specific range between midpoints of the top and bottom quintiles of fatty acid concentrations were 1.53 (1.41-1.66; p < 0.001) for 16:0, 1.40 (1.33-1.48; p < 0.001) for 16:1n-7, 1.14 (1.05-1.22; p = 0.001) for 18:0, and 1.16 (1.07-1.25; p < 0.001) for 18:1n9. Heterogeneity was seen across cohorts (I2 = 51.1%-73.1% for each fatty acid) but not explained by lipid fractions and global geographical regions. Further adjusted for triglycerides (and 16:0 when appropriate) to evaluate associations independent of overall DNL, the associations remained significant for 16:0, 16:1n7, and 18:0 but were attenuated for 18:1n9 (RR = 1.03, 95% confidence interval (CI) = 0.94-1.13). These findings had limitations in potential reverse causation and residual confounding by imprecisely measured or unmeasured factors. CONCLUSIONS: Concentrations of fatty acids in the DNL were positively associated with T2D incidence. Our findings support further work to investigate a possible role of DNL and individual fatty acids in the development of T2D.

Strong adherence to dietary and lifestyle recommendations is associated with decreased type 2 diabetes risk in the AusDiab cohort study.

We aimed to determine whether adherence to the Australian dietary guidelines and an index of healthy behavior was associated with a lower risk of type 2 diabetes (T2D) and to provide estimates of the proportion of preventable cases. Participants of the AusDiab cohort study were followed for 12 years (n = 6242), starting from May 1999, during which T2D cases were identified. The associations between T2D risk and a score of adherence to the dietary guidelines, its components, and a score of adherence to an index of healthy behaviors, (which included smoking, recreational physical activity, waist circumference and adherence to the dietary guidelines), were estimated using Cox proportional hazards ratios (HR) and 95% confidence intervals. The proportion of preventable cases was estimated using the population attributable fraction (PAF). Strong adherence to the dietary guidelines was not associated with T2D risk (HR = 0.64 [95% CI 0.39-1.06]), unless moderate alcohol consumption was considered as beneficial instead of no alcohol consumption (HR = 0.59 [0.36-0.96]). However, strong adherence to the guidelines regarding fruit and dairy intake were both associated with decreased risk of T2D (HR = 0.68 [0.51-0.91]; 0.56 [0.38-0.84], respectively) and could have prevented 23-37% of cases (PAF = 23.3% [7.3-38.2]; 37.1% [14.6-56.0], respectively). Strong adherence to the index of healthy behaviors was associated with decreased risk of T2D (HR = 0.30 [0.17-0.51]) and estimated to prevent almost 60% of T2D (PAF = 59.4% [34.3-76.6]). More than half of T2D cases could be preventable in Australia through modifying health behavior. These results could serve as a basis for prevention programs based on lifestyle modification.

Population attributable fractions of the main type 2 diabetes mellitus risk factors in women: Findings from the French E3N cohort.

BACKGROUND: Although many type 2 diabetes mellitus (T2DM) risk factors have been identified, little is known regarding their contributions to the diabetes burden at the population level. METHODS: The study included 72 655 French women from the Etude Epidemiologique de Femmes de la Mutuelle Générale de l'Education Nationale (E3N) prospective cohort followed between 1993 and 2011. Cox multivariable models including the main T2DM risk factors (metabolic, dietary, clinical, socioeconomic and hormonal) and a healthy lifestyle index combining five characteristics (smoking, body mass index [BMI], alcohol consumption, fruit and vegetable consumption, and physical activity) were used to estimate hazard ratios and population attributable fractions (PAFs) for T2DM. RESULTS: In multivariate models, factors with the strongest effect on T2DM risk were, in decreasing order, BMI ≥ 30 kg/m2 (PAF = 43%; 95% confidence interval [CI] 37-47), high adherence to a Western dietary pattern (PAF = 30%; 95% CI 20-40), hypertension (PAF = 26%; 95% CI 20-32), an acidogenic diet (PAF = 24%; 95% CI 16-32), a family history of diabetes (PAF = 20%; 95% CI 17-22), and, with a negative correlation, moderate alcohol consumption (PAF-19%; 95% CI -34, -4). The PAF for an unhealthy lifestyle was 57% (95% CI 50-63). CONCLUSIONS: We have been able to sort out and quantify the effect of various dietary and biological T2DM risk factors simultaneously in a single population, and to highlight the importance of a healthy lifestyle for primary prevention: more than half the T2DM cases could have been prevented through a healthier lifestyle.

Micronutrient dietary patterns associated with type 2 diabetes mellitus among women of the E3N-EPIC (Etude Epidémiologique auprès de femmes de l'Education Nationale) cohort study.

BACKGROUND: Micronutrients play a key role in type 2 diabetes mellitus (T2DM), but methodological difficulties arise from their collinearity and interdependencies with foods. The aim of the present study was to identify micronutrient dietary patterns in the E3N-EPIC (Etude Epidémiologique auprès de femmes de l'Education Nationale) cohort and to investigate their association with risk of T2DM. METHODS: Principal component analysis was used to identify micronutrient patterns among 71 270 women from the E3N-EPIC cohort. Associations between micronutrient patterns and risk of T2DM were quantified by hazard ratios (HRs) and 95% confidence intervals (CIs) from Cox proportional hazards regression models, adjusted for potential confounders. RESULTS: Six micronutrient patterns were identified explaining 78% of the total variance in micronutrient intake. A positive association was found between T2DM and a pattern highly correlated with intake of vitamins B2 and B5 (HR 1.34; 95% CI 1.16-1.56). Similarly, a positive association was found with a pattern characterized by high intakes of vitamin B12 and retinol, and a low intake of vitamin C (HR 1.30; 95% CI 1.15-1.48). An inverse association was observed between T2DM and another two patterns: one correlated with magnesium and vitamin B3 (HR 0.75; 95% CI 0.66-0.86), and the other correlated with manganese intake (HR 0.82; 95% CI 0.72-0.94). CONCLUSIONS: The findings of the present study identify micronutrients that have an effect on the risk of T2DM, and enable better understanding of the complexity of the diet when investigating the association between micronutrients and T2DM.

Progression of skin autofluorescence of AGEs over 4 years in patients with type 1 diabetes.

BACKGROUND: The deposit of advanced glycation end-products is involved in diabetic complications. It can be evaluated by measuring the skin autofluorescence (sAF). We searched whether sAF progressed over 4 years in type 1 diabetes and analysed its relationship with the development of nephropathy. METHODS: Two measurements of skin autofluorescence (sAF) were completed on 154 patients during years 2009 and 2013. Baseline factors associated with the progression of sAF were analysed by multivariate regression analysis. The relations among sAF progression, microalbuminuria, and impaired estimated glomerular filtration rate (eGFR) were analysed by logistic regression analysis. RESULTS: The patients were 51 ± 16 years old, with duration of diabetes of 23 ± 13 years, HbA1c: 7.7 ± 1.0%, 20.7% were treated by continuous subcutaneous insulin infusion (CSII). The sAF progressed by +18.1% over 4 years. Two interacting (P = .04) variables were associated with the later progression of sAF: mildly impaired eGFR and treatment by CSII. The patients with mildly impaired eGFR had the highest progression of sAF (+11.5% P = .01). Continuous subcutaneous insulin infusion was associated with a reduced progression of sAF in patients without kidney impairment (ß = -7.2%, P = .01). A +10% progression of sAF during the follow-up was associated with more microalbuminuria: OR = 1.45, P = .02, and more mildly impaired eGFR (<90 mL/min/1.73 m2 ): OR 1.22, P = .03 at 4 years of follow-up. CONCLUSIONS: The skin autofluorescence of advanced glycation end-products progresses in patients with type 1 diabetes, more if they have diabetic nephropathy, less if they are treated by continuous subcutaneous insulin infusion. This progression is associated with the development of nephropathy.

Skin autofluorescence, renal insufficiency and retinopathy in patients with type 2 diabetes.

OBJECTIVES: Advanced glycation end-products (AGEs) are involved in diabetic retinopathy (DR). Their accumulation in tissues can be analyzed by measuring the skin autofluorescence (sAF). We hypothesized that renal insufficiency, another cause of high sAF, may disturb the relation between sAF and DR. RESEARCH DESIGN AND METHODS: We measured sAF with an AGE-Reader in 444 patients with type 2 diabetes (T2D), and we analyzed their retinal status. The associations of sAF with DR, and interaction with renal insufficiency were estimated by multivariate logistic regression analysis. RESULTS: Mean age was 62years (standard deviation (SD) 10years), diabetes duration 13 (9) years and mean HbA1C 8.9% (1.8). The prevalence of DR was 21.4% and increased with age, diabetes duration, arterial hypertension, renal parameters (serum creatinine and albumin excretion rates), and sAF. The prevalence of macular edema (ME) was 8.6% and increased with the duration of diabetes, but not with sAF (p=0.11). There was a significant interaction between renal insufficiency and sAF for the relation with DR or ME (p=0.02). For the 83% patients without renal insufficiency (estimated GFR>60mL/min/1.73m2), sAF was related to DR or ME after multivariate adjustment: OR 1.87 (1.09-3.19). The 17% patients with renal insufficiency had the highest rates of DR or ME (38.6%) and the highest sAF, unrelated to each other. CONCLUSIONS: In T2D patients with renal insufficiency, the high sAF does not relate to retinopathy, which should be systematically searched due to its high frequency. For other patients, a high sAF argues for DR screening.

Skin autofluorescence predicts cardio-renal outcome in type 1 diabetes: a longitudinal study.

BACKGROUND: We aimed to analyze the relationships between skin autofluorescence (SAF) and incident macrovascular events and renal impairment after 4 years of follow-up in patients with type 1 diabetes (T1D). METHODS: Two hundred and forty-three patients (51.2 ± 16.7 years old) with T1D participated. SAF was measured by AGE-Reader-TM at inclusion. Macrovascular events (MVE), estimated glomerular filtration rate (eGFR) and urinary albumin excretion rate (AER) were recorded then and 4 years later. Multivariate logistic regression was used to analyze the relationships between SAF and incident MVE and renal profile 4 years later. RESULTS: Patients with incident MVE had a higher SAF (p = 0.003). SAF predicted incident MVE after adjustment for age, sex, body mass index, tobacco, diabetes duration, hypertension, HbA1c, AER, eGFR (OR 4.84 [95 % CI 1.31-17.89], p = 0.018). However, this relation was no longer significant after adjustment for history of MVE. An inverse relation was found between SAF and incident eGFR (p = 0.0001). Patients with incident eGFR <60 ml/min/1.73 m(2) had a SAF higher than patients with normal eGFR. After adjustment for the previous criteria, SAF remained associated with the risk of impaired incident eGFR (OR 7.42 [95 % CI 1.59-34.65], p = 0.018). No relation was found between SAF and increased AER 4 years later. CONCLUSIONS: SAF predicts MVE in patients with T1D, adjusted for cardiovascular risk factors but the most powerful predictive factor remains history of MVE. SAF also predicts eGFR impairment, adjusted for initial AER and renal function. SAF could be a useful non-invasive tool for estimating risk of cardiovascular or renal impairment in patients with T1D.

Autofluorescence of Skin Advanced Glycation End Products: Marker of Metabolic Memory in Elderly Population.

BACKGROUND: Advanced glycation end products are involved in the vascular complications of diabetes, in chronic kidney disease, and in the aging process. Their accumulation in the elderly people, as reflected by skin autofluorescence (sAF), may be a marker of metabolic memory. We aimed to examine the association of sAF with glycemic and renal status 10 years earlier in older persons. METHODS: In retrospective cohort study, 328 elderly community dwellers aged of 75 years and over had sAF measurement 10 years after their inclusion in the Three-City cohort. Fasting plasma glucose and serum creatinine were measured at baseline and at 10-year follow-up. In 125 participants, HbA1c was available at these two times. Associations between sAF and the glycemic and renal status 10 years before were analyzed by multivariate linear regression adjusted for age, sex, hypertension, body mass index, hypertriglyceridemia, and smoking. RESULTS: Participants were 82.4 (standard deviation = 4.1) years on average, and their mean sAF was 2.8 (standard deviation = 0.7) arbitrary units (AU). After adjustment, sAF was higher in participants with long-standing diabetes (+0.38 AU, p = .01) or chronic kidney disease (+0.29 AU, p = .02) compared with healthy participants. sAF was related to fasting plasma glucose (+1 mmol/L associated with +0.08 AU, p = .01) and HbA1c (+1% associated with +0.15 AU, p = .03) 10 years earlier, but not to the current fasting plasma glucose (p = .82) and HbA1c (p = .32). sAF was also related to the distal and current estimated glomerular filtration rates (p = .002 and .004, respectively). CONCLUSIONS: sAF reflects glycemic and renal status 10 years before, supporting its value as a marker of metabolic memory in the elderly people.