Dietary treatment of type 1 diabetes: Beyond carbohydrate counting to fight cardiovascular risk

Aims.Type 1 diabetes (T1D) is tied to an increased risk of cardiovascular morbidity and mortality. Dietary treatment would be an elective therapeutic strategy to fight this risk. However, it is not known what the best dietary approach is.We revisited the currently available literature on the nutritional treatment of T1D in the light of their potential comprehensive effects on the management of cardio-metabolic risk factors (body weight, fasting and postprandial glucose and lipid metabolism).Data synthesis.Nutritional research in T1D is mainly focused on blood glucose control, with most of the trials aiming at evaluating the acute effects of nutrients on postprandial glycemic response. The effects of the quantity and quality of nutrients and some specific foods on other metabolic risk factors have been explored mainly in cross-sectional analysis. Very few well-designed nutritional trials evaluated the best dietary approach to comprehensively manage cardiovascular risk by targeting along with blood glucose control, overweight, fasting and postprandial dyslipidemia. Therefore, the current best practice guidance for the dietary management of cardiovascular risk in T1D is generally based on evidence from patients with type 2 diabetes.ConclusionsWell-conducted nutritional trials specifically designed for T1D are needed to identify the best dietary treatment to fight cardiovascular risk in these patients.     

Sex differences in cardiovascular risk factors of children and adolescents with type 1 diabetes mellitus: A role for diet?

Background and aimsCardiovascular disease is the leading cause of morbidity and mortality in individuals with type 1 diabetes mellitus (T1DM). Cardiovascular risk is higher in women with diabetes than in men. With this study, we wanted to determine whether female children and adolescents with T1DM are more prone to cardiovascular risk factors (CVRFs) and an atherogenic diet than boys.Methods and resultsFor this cross-sectional study, anthropometric, clinical, biochemical, and dietary intake data of 314 children with diabetes (3–18 years; 178 boys) were analysed according to age and sex. Linear and binary logistic regression was performed to test independent associations between sex, dietary intake, and CVRFs.Low-density lipoprotein -cholesterol (LDL-c), triglyceride (TG), fibre, monounsaturated fatty acid levels (all p < 0.01), and lipid (p = 0.022) intake were higher in the girls than in the boys. Multiple regression analysis showed that LDL was associated with sex, glycated haemoglobin (HbA1c), and lipid intake percentage (R (Kannel, 1979) [2] = 0.130; p = 0.0004) independent of age, pubertal stage, body mass index (BMI), duration of diabetes, energy, and fibre intake. Logistic regression analysis showed that high LDL-c levels were present more often in girls [odds ratio, OR; confidence interval, CI = 2.569 (1.178–5.604); p = 0.018] who had a higher dietary lipid intake percentage [OR (CI) = 1.089 (1.011–1.173); p = 0.025].ConclusionsGirls with diabetes have higher LDL-c levels associated with higher dietary lipid intake. Our findings suggest that young people with diabetes, especially girls, may benefit from early dietary interventions to reduce their cardiovascular risk.     

Virtual training on the hybrid close loop system in people with type 1 diabetes (T1D) during the COVID-19 pandemic

Background and aimsIn Colombia, the government established mandatory isolation after the first case of COVID-19 was reported. As a diabetes care center specialized in technology, we developed a virtual training program for patients with type 1 diabetes (T1D) who were upgrading to hybrid closed loop (HCL) system. The aim of this study is to describe the efficacy and safety outcomes of the virtual training program.Methodology: A prospective observational cohort study was performed, including patients with diagnosis of T1D previously treated with multiple doses of insulin (MDI) or sensor augmented pump therapy (SAP) who were updating to HCL system, from March to July 2020. Virtual training and follow-up were done through the Zoom video conferencing application and Medtronic Carelink System version 3.1 software. CGM data were analyzed to compare the time in range (TIR), time below range (TBR) and glycemic variability, during the first two weeks corresponding to manual mode with the final two weeks of follow-up in automatic mode.Results91 patients were included. Mean TIR achieved with manual mode was 77.3 ± 11.3, increasing to 81.6% ± 7.6 (p < 0.001) after two weeks of auto mode use. A significant reduction in TBR <70 mg/dL (2,7% ± 2,28 vs 1,83% ± 1,67, p < 0,001) and in glycemic variability (% coefficient of variation 32.4 vs 29.7, p < 0.001) was evident, independently of baseline therapy.ConclusionHCL systems allows T1D patients to improve TIR, TBR and glycemic variability independently of previous treatment. Virtual training can be used during situations that limit the access of patients to follow-up centers.     

Associations of disordered eating with the intestinal microbiota and short-chain fatty acids among young adults with type 1 diabetes

Background and aimsDisordered eating (DE) in type 1 diabetes (T1D) includes insulin restriction for weight loss with serious complications. Gut microbiota-derived short chain fatty acids (SCFA) may benefit host metabolism but are reduced in T1D. We evaluated the hypothesis that DE and insulin restriction were associated with reduced SCFA-producing gut microbes, SCFA, and intestinal microbial diversity in adults with T1D.Methods and resultsWe collected stool samples at four timepoints in a hypothesis-generating gut microbiome pilot study ancillary to a weight management pilot in young adults with T1D. 16S ribosomal RNA gene sequencing measured the normalized abundance of SCFA-producing intestinal microbes. Gas-chromatography mass-spectrometry measured SCFA (total, acetate, butyrate, and propionate). The Diabetes Eating Problem Survey—Revised (DEPS-R) assessed DE and insulin restriction. Covariate-adjusted and Bonferroni-corrected generalized estimating equations modeled the associations. COVID-19 interrupted data collection, so models were repeated restricted to pre-COVID-19 data.Data were available for 45 participants at 109 visits, which included 42 participants at 65 visits pre-COVID-19. Participants reported restricting insulin “At least sometimes” at 53.3% of visits. Pre-COVID-19, each 5-point DEPS-R increase was associated with a ?0.34 (95% CI -0.56, ?0.13, p = 0.07) lower normalized abundance of genus Anaerostipes; and the normalized abundance of Lachnospira genus was ?0.94 (95% CI -1.5, ?0.42), p = 0.02 lower when insulin restriction was reported “At least sometimes” compared to “Rarely or Never”.ConclusionDE and insulin restriction were associated with a reduced abundance of SCFA-producing gut microbes pre-COVID-19. Additional studies are needed to confirm these associations to inform microbiota-based therapies in T1D.     

CAPTURE: A cross-sectional study on the prevalence of cardiovascular disease in adults with type 2 diabetes in Italy

Background and aimsThe prevalence of type 2 diabetes (T2D) in Italy is increasing and cardiovascular disease (CVD) represents the leading cause of death in this population. CAPTURE was a multinational, multicentre, non-interventional, cross-sectional study assessing the prevalence of CVD, atherosclerotic CVD (AsCVD) and CVD subtypes among patients with T2D, across 13 countries. Here we report the results from Italy.Methods and resultsOverall, 816 patients with T2D (median age, 69 years [interquartile range: 62–75]; median duration of diabetes, 11.2 years [interquartile range: 5.7–18.7]) were recruited during routine clinical visits at secondary care centres in Italy between December 2018–September 2019. The prevalence of CVD was estimated at 38.8%, largely accounted for by AsCVD (33.1%). The most prevalent CVD subtype was coronary heart disease (20.8%), followed by carotid artery disease (13.2%). Most patients (85.9%) were prescribed oral glucose-lowering agents (GLAs), particularly biguanide (76.7%). Insulin use was higher in patients with CVD (41.3%) than in patients without CVD (32.9%). Sodium-glucose co-transporter-2 inhibitors (SGLT2is) and glucagon-like peptide-1 receptor agonists (GLP-1 RAs) were prescribed to 20.2% vs 14.6%, and 14.5% vs 16.6% of patients with CVD compared to those without CVD, respectively.ConclusionThe results show that, in Italy, more than one in three patients with T2D attending secondary care centres have CVD, 85% of whom have AsCVD, yet only a minority are treated with SGLT2is and GLP-1 RAs, in discordance with the recommendations of current national and international guidelines.     

A deep learning model for screening type 2 diabetes from retinal photographs

Background and aimsWe aimed to develop and evaluate a non-invasive deep learning algorithm for screening type 2 diabetes in UK Biobank participants using retinal images.Methods and resultsThe deep learning model for prediction of type 2 diabetes was trained on retinal images from 50,077 UK Biobank participants and tested on 12,185 participants. We evaluated its performance in terms of predicting traditional risk factors (TRFs) and genetic risk for diabetes. Next, we compared the performance of three models in predicting type 2 diabetes using 1) an image-only deep learning algorithm, 2) TRFs, 3) the combination of the algorithm and TRFs. Assessing net reclassification improvement (NRI) allowed quantification of the improvement afforded by adding the algorithm to the TRF model. When predicting TRFs with the deep learning algorithm, the areas under the curve (AUCs) obtained with the validation set for age, sex, and HbA1c status were 0.931 (0.928–0.934), 0.933 (0.929–0.936), and 0.734 (0.715–0.752), respectively. When predicting type 2 diabetes, the AUC of the composite logistic model using non-invasive TRFs was 0.810 (0.790–0.830), and that for the deep learning model using only fundus images was 0.731 (0.707–0.756). Upon addition of TRFs to the deep learning algorithm, discriminative performance was improved to 0.844 (0.826–0.861). The addition of the algorithm to the TRFs model improved risk stratification with an overall NRI of 50.8%.ConclusionOur results demonstrate that this deep learning algorithm can be a useful tool for stratifying individuals at high risk of type 2 diabetes in the general population.     

Differences in taste and smell perception between type 2 diabetes mellitus patients and healthy controls

Background and aimsThe senses of taste and smell are essential determinants of food choice, which in turn may contribute to the development of chronic diseases, including diabetes. Although past studies have evaluated the relationship between type 2 diabetes mellitus (DM2) and senses disorders, this relationship remains controversial.In this study, we evaluated taste and smell perception in DM2 patients and healthy controls (HC). Moreover, we analyzed the association of chemosensory impairments with anthropometric and clinical outcomes (e.g. Body Mass Index (BMI), Fasting blood glucose (FBG), drugs, cardiovascular diseases (CVD), and hypertension) in DM2 patients.Methods and resultsThe study included 94 DM2 patients and 244 HC. Taste recognition for 6-n-propylthiouracil (PROP), quinine, citric acid, sucrose, and sodium chloride (NaCl) compounds was assessed using a filter paper method, while smell recognition of 12 odorants was performed using a Sniffin’ sticks test.We found that a higher percentage of DM2 patients showed identification impairment in salt taste (22% vs. 5%, p-value<0.0009) and smell recognition (55% vs. 27%, p-value = 0.03) compared to HC. We also observed that 65% of hypertensive DM2 subjects presented smell identification impairment compared to 18% of non-hypertensive patients (p-value = 0.019). Finally, patients with impairments in both taste and smell showed elevated FBG compared to patients without impairment (149.6 vs.124.3 mg/dL, p-value = 0.04).ConclusionThe prevalence of taste and smell identification impairments was higher in DM2 patients compared to HC, and a possible relationship with glycemic levels emerged.     

Suppression of serum lipid transfer proteins involved in high-density lipoprotein cholesterol metabolism by intensive insulin therapy in the first year of type 1 diabetes mellitus: Prospective InLipoDiab1 study

Background and aimsCholesteryl ester transfer protein (CETP) and phospholipid transfer protein (PLTP) are crucial proteins in reverse cholesterol transport. There are insufficient data on regulating these proteins by insulin therapy in type 1 diabetes mellitus (T1DM). We aimed to assess prospectively the impact of insulin therapy initiation on transfer proteins serum levels in adults with newly diagnosed T1DM.Methods and results57 adults with newly diagnosed T1DM were enrolled in the InLipoDiab1 Study. All participants were treated with subcutaneous insulin in the model of intensive insulin therapy since the diagnosis of diabetes. Serum PLTP and CETP concentrations were measured at diagnosis, after three weeks, six months, and after one year of insulin treatment, using the immunoenzymatic method ELISA.A significant decrease in PLTP and CETP concentrations were demonstrated during twelve months of insulin therapy in newly diagnosed T1DM. The dynamics of changes in the level of these proteins varied depending on the occurrence of remission after a year of the disease. In the group without remission, a significant decrease in PLTP and CETP levels appeared after six months of follow-up. The remission group was characterized by a decrease in proteins concentration only after one year of treatment. In the non-remission group, significant negative correlations were found between the daily dose of insulin and levels of PLTP and CETP.ConclusionExogenous insulin is an inhibitor of lipid transfer proteins involved in high-density lipoprotein cholesterol metabolism in the first year of treatment.     

Independent euglycaemic hyperinsulinaemic clamp studies validate clinically applicable formulae to estimate insulin sensitivity in people with type 1 diabetes

Background and aimLow insulin sensitivity (IS) increases Type 1 diabetes (T1D) complication risk and can be estimated by simple formulae developed from complex euglycemic hyperinsulinaemic clamp studies. We aimed to validate these formulae using independent clamp data.MethodsClamps were performed in 104 T1D adults. Measured glucose disposal rate (GDR) was correlated with eGDR and eLog10 M/I calculated by five IS formulae.ResultsCorrelations ranged between 0.23–0.40. Two IS formulae (by the authors), using age, sex, HDL-C, HbA1c, pulse pressure, BMI, and waist-hip-ratio had the highest correlation with measured GDR and the best performance in detecting low IS.     

Characteristics of newly diagnosed type 1 diabetes in paediatric and adult population from Reims University Hospital,France from 1997 to 2019

French health insurance data showed that the incidence of type 1 diabetes mellitus (T1DM) in children increased over the years to 2015. The objective of our study was to assess the evolution of the number of incident cases of paediatric and adult type 1 diabetes in our institution, and to describe their clinical presentation and its evolution. All patients with T1DM managed at diagnosis at Reims University Hospital between 1997 and 2019 were included. The clinical and biological data were extracted from the Champagne-Ardenne Diabetes Network database. Included were 847 patients with a median age of 10.3 years. Diagnosis was established in 71% of cases before 15 years, 7.4% after 35 years. The number of newly diagnosed cases was 3.6-times higher in 2019 compared to 1997. Ketoacidosis, the frequency of which decreased with age (P < 0.0001), revealed diabetes in a total of 32% of cases and in 46% of children under 5 years. It was more severe in children than in adults (P = 0.03), and its frequency increased over the study period. Hypotrophy was found in 23% of children under 15 years of age, and was more pronounced before 5 years of age, with no improvement over time. We saw an increase in the frequency of obesity or overweight among adults. Our study showed an increase in incident cases of diabetes in our hospital that continued over time for both children and adults. Clinical features at diagnosis deteriorated during this period for those under 15 years of age with an increase in ketoacidosis frequency.     

Insulin clearance is altered in women with a history of gestational diabetes progressing to type 2 diabetes

Background and aimsInsulin clearance is a relevant process in glucose homeostasis. In this observational study, we aimed to assess insulin clearance (Cl_INS) in women with former gestational diabetes (fGDM) both early after delivery and after a follow-up.Methods and resultsWe analysed 59 fGDM women, and 16 women not developing GDM (CNT). All women underwent an oral glucose tolerance test (OGTT) yearly, and an insulin-modified intravenous glucose tolerance test (IVGTT) at baseline and at follow-up end (until 7 years). Both IVGTT and OGTT Cl_INS was assessed as insulin secretion to plasma insulin ratio. We also defined IVGTT first (0–10 min) and second phase (10–180 min) Cl_INS. We found that 14 fGDM women progressed to type 2 diabetes (PROG), whereas 45 women remained diabetes-free (NONPROG). At baseline, IVGTT Cl_INS showed alterations in PROG, especially in second phase (0.88 ± 0.10 l·min⁻¹ in PROG, 0.60 ± 0.06 in NONPROG, 0.54 ± 0.07 in CNT, p ≤ 0.03). Differences in Cl_INS were not found from OGTT. Cox regression analysis showed second phase Cl_INS as significant type 2 diabetes predictor (hazard ratio = 1.90, 95% confidence interval 1.09–3.30, p = 0.02).ConclusionThis study showed that insulin clearance derived from an insulin-modified IVGTT is notably altered in women with history of GDM progressing towards type 2 diabetes.     

Comparison of two carbohydrate intake strategies to improve glucose control during exercise in adolescents and adults with type 1 diabetes

Background and aimsDuring aerobic physical activity (PA), hypoglycemia is common in people with type 1 diabetes (T1D). Few studies have compared the effectiveness of different carbohydrate (CHO) intake strategies to prevent PA-induced hypoglycemia. Our objective was to compare the efficacy of two CHO intake strategies, same total amount but different CHO intake timing, to maintain glucose levels in the target range (4.0–10.0 mmol/L) during PA in people with T1D.Methods and resultsAn open-label, randomized, crossover study in 33 participants (21 adults; 12 adolescents). Participants practiced 60 min PA sessions (ergocyle) at 60% VO_2peak 3.5 h after lunch comparing an intake of 0.5 g of CHO per kg of body weight applied in a pre-PA single CHO intake (SCI) or in a distributed CHO intake (DCI) before and during PA. The percentage of time spent in glucose level target range during PA was not different between the two strategies (SCI: 75 ± 35%; DCI: 87 ± 26%; P = 0.12). Hypoglycemia (<4.0 mmol/L) occurred in 4 participants (12%) with SCI compared to 6 participants (18%) with DCI (P = 0.42). The SCI strategy led to a higher increase (P = 0.01) and variability of glucose levels (P = 0.04) compared with DCI.ConclusionsIn people living with T1D, for a 60 min moderate aerobic PA in the post-absorptive condition, a 0.5 g/kg CHO intake helped most participants maintain acceptable glycemic control with both strategies. No clinically significant difference was observed between the SCI and DCI strategies.ClinicalTrials.gov Identifier: NCT03214107 (July 11, 2017).     

Seasonal variation in estimated cardiovascular risk in patients with type 2 diabetes

Background and aimsSeasonal variations in several risk factors for cardiovascular events (CVD) were described. Here, we evaluate the impact of seasonal variations in blood pressure (BP), lipid profile and glycemic control on estimated CVD risk in patients with type 2 diabetes (T2D).Methods and resultsRetrospective monocentric study of patients with T2D who were visited at least once in the winter period and once in the summer period, less than 8 months apart, for which data related to systolic (S) BP, diastolic (D) BP, body mass index, glycosylated hemoglobin (HbA1c), total cholesterol, HDL cholesterol and smoking habit were available on both occasions. The 10-year CVD risk was calculated using the UKPDS risk engine and the ASCVD risk estimator. As many as 411 patients were included in the study. Significant within-patient differences between summer and winter were found for the absolute risk of events assessed with both calculators (Δs-w UKPDS-CHD: ?1.33%, Δs-w UKPDS-Stroke: ?0.84%, Δs-w ASCVD: ?2.21%). The seasonal change in SBP was the main responsible for the change in risk estimated with both the UKPDS-Stroke (r² = 0.43) and the ASCVD (r² = 0.50) scores, while the change in total cholesterol was the main determinant of the change in risk for the UKPDS-CHD (r² = 0.34). A significant correlation was identified between changes in temperature and changes in SBP (ρ = 0.130, p = 0.008), but not in other risk factors.ConclusionsSeasonal variations in the classic CVD risk factors influence the risk estimated using validated calculators.     

Coffee consumption and cardiovascular diseases and mortality in patients with type 2 diabetes: A systematic review and dose–response meta-analysis of cohort studies

AimsTo evaluate the long-term consequences of coffee drinking in patients with type 2 diabetes.Data synthesisPubMed, Scopus, and Web of Sciences were searched to November 2020 for prospective cohort studies evaluating the association of coffee drinking with risk of cardiovascular disease (CVD) and mortality in patients with type 2 diabetes. Two reviewers extracted data and rated the certainty of evidence using GRADE approach. Random-effects models were used to estimate the hazard ratios (HRs) and 95% CIs. Dose–response associations were modeled by a one-stage mixed-effects meta-analysis. Ten prospective cohort studies with 82,270 cases were included. Compared to those with no coffee consumption, the HRs for consumption of 4 cups/d were 0.79 (95%CI: 0.72, 0.87; n = 10 studies) for all-cause mortality, 0.60 (95%CI: 0.46, 0.79; n = 4) for CVD mortality, 0.68 (95%CI: 0.51, 0.91; n = 3) for coronary heart disease (CHD) mortality, 0.72 (95%CI: 0.54, 0.98; n = 2) for CHD, and 0.77 (95%CI: 0.61, 0.98; n = 2) for total CVD events. There was no significant association for cancer mortality and stroke. There was an inverse monotonic association between coffee drinking and all-cause and CVD mortality, and inverse linear association for CHD and total CVD events. The certainty of evidence was graded moderate for all-cause mortality, and low or very low for other outcomes.ConclusionsDrinking coffee may be inversely associated with the risk of mortality in patients with type 2 diabetes. However, more research is needed considering type of coffee, sugar and cream added to coffee, and history of CVD to present more confident results.Registry and registry numberThe protocol of this systematic review was registered at Open Science Framework (https://osf.io/8uaf3, registered form: osf.io/xur76, registration DOI: 10.17605/OSF.IO/8UAF3).     

Triglyceride to high-density lipoprotein cholesterol ratio and cardiovascular events in the general population: A systematic review and meta-analysis of cohort studies

AimsThe ratio of triglyceride (TG) to high-density lipoprotein cholesterol (HDL-C) has been regarded as a novel surrogate indicator of insulin resistance and the atherogenic index of plasma. This meta-analysis aimed to evaluate the association between the TG/HDL-C ratio and the incidence of cardiovascular events in the general population.Data synthesisCohort studies reporting the association between the TG/HDL-C ratio and cardiovascular events in the general population were obtained by a systematic literature search of PubMed, Embase and Web of Science databases until April 11, 2021. 13 cohort studies with a total of 207,515 participants were included in this meta-analysis. In a random-effects model, compared with those with the lowest category of the TG/HDL-C ratio, participants with the highest category were independently associated with a higher risk of cardiovascular events (pooled HR: 1.43, 95%CI: 1.26–1.62, I² = 72.9%). For the presence of publication bias detected by the Egger's test (p = 0.011), correction for publication bias using the trim-and-fill method reduced the HR to 1.26 (95%CI: 1.11–1.44). This result was consistent with the finding of the TG/HDL-C ratio analyzed as a continuous variable (pooled HR per unit increment of the TG/HDL-C ratio: 1.08, 95%CI: 1.04–1.12, I² = 67.0%). Subgroup analyses indicated that population gender, geographical region, duration of follow-up, adjustment for other lipid parameters, adjustment for diabetes and categorical number did not significantly vary the relationship.ConclusionElevated TG/HDL-C ratio may be independently associated with an increased risk of cardiovascular events in the general population. More well-designed studies are needed to confirm the current findings.Registration number in PROSPEROCRD42021244583.