Adriana Costa Forti

Objective: Earlier work suggests Myoinositol (MI) and D‐chiro‐ inositol (DCI) imbalance in urine and plasma of diabetic patients, and their potential for monitoring insulin resistance. This study aimed to assess levels of Myoinositol (MI) and D‐chiro‐ inositol (DCI) in saliva of children with type 1 diabetes mellitus (DM‐1) and controls, to verify if concentrations of MI and DCI are similarly altered in saliva, exploring their potential for monitoring DM‐1.Design, Patients and Measurements: This cross‐sectional clinical study enroled 45 patients (DM‐1, n = 25; Controls, n = 20). Children aged 3–12 years with fasting blood glucose levels > 126 mg/dL, and HbA1c levels > 7%. Saliva was collected, and salivary measurements included pH, flow rates and concentrations of MI, DCI and glucose, employing high‐performance liquid chromatography. Periodontal health was assessed using bleeding and plaque indices.Results: Children with DM‐1 showed elevated MI (p = 0.001), reduced DCI (p = 0.001), and increased MI‐DCI ratio (p = 0.001). The MI‐DCI ratio was elevated by 16‐fold among diabetic children. Plaque (p = 0.003) and gingival bleeding (p = 0.001) were higher in DM‐1 than controls. The MI increased the odds of an outcome of DM‐1 by 174%, while DCI reduced the odds by 63%, highlighting their strong and opposing effects on DM‐1.Conclusions: Children with DM‐1 express higher MI and lower DCI levels, while non‐diabetic children show an inversion of these concentrations. Inositol imbalance in saliva of diabetic children resembles previous results in urine, and represents a possible venue for monitoring this disease, paving the way for future investigations into salivary inositols.

Objectives To evaluate a postpartum telephone-based lifestyle intervention to prevent diabetes in high-risk women with recent gestational diabetes mellitus (GDM). Design Multicentre parallel randomised clinical trial. Setting Specialised antenatal clinics in the Brazilian National System. Methods Lifestyle Intervention for Diabetes Prevention After Pregnancy compared (1:1) postpartum telephone support for lifestyle changes with conventional care in women with recent GDM at substantial risk for diabetes. Randomisation started on 28 March 2015 and ended on 13 March 2020, with the onset of the COVID-19 pandemic. We used Cox regression to estimate HRs for diabetes and analysis of covariance adjusted for follow-up time to assess weight change. Outcomes The primary outcome was incident diabetes ascertained with blinded measurements of oral glucose tolerance tests. The secondary outcome was a change in measured weight. Results We enrolled 5323 women with GDM, 2735 (51%) being at high risk. After invitations, baseline assessment and exclusions, we assigned 466 women to intervention (231) or control (235) groups. Attendance was satisfactory (≥7/20 phone sessions) in 75%. Over an average follow-up of 29.7 (15.6) months, 142 (30.5%) women progressed to diabetes, 75 (32%) in the control and 67 (29%) in the intervention group. There was no reduction in the incidence of diabetes (HR=0.84; 0.60–1.19) and only a non-significant 0.97 kg less weight gain (p=0.09). Among the 305 women randomised more than 1 year before the COVID-19 pandemic, the intervention did not reduce the incidence of diabetes (HR=0.71; 0.48–1.04) despite a 2.09 kg (p=0.002) lesser weight gain. Conclusion The strategy to identify women with GDM at high risk proved valid, as women often gained weight and frequently developed diabetes. Over a 30-month follow-up, telephone support for lifestyle changes at postpartum did not reduce weight gain or diabetes incidence, although only 75% attended the minimum number of telephone sessions. The COVID-19 pandemic negatively impacted trial conduction. Trial registration number NCT02327286.

DEAR EDITORS AND COLLEAGUES, Thank you for your interest and comments on our study. This work evaluates differences in women with gestational diabetes mellitus (GDM) regarding the presence of morningness/eveningness or identified chronotypes investigated during pregnancy in a robust cohort of 305 GDM patients. Our results show that GDM women with evening preference are more likely to develop pre-eclampsia (PE), their offspring were more likely to be admitted on neonatal intensive care unit and there was a marginal increased risk [...] DEAR EDITORS AND COLLEAGUES, Thank you for your interest and comments on our study. This work evaluates differences in women with gestational diabetes mellitus (GDM) regarding the presence of morningness/eveningness or identified chronotypes investigated during pregnancy in a robust cohort of 305 GDM patients. Our results show that GDM women with evening preference are more likely to develop pre-eclampsia (PE), their offspring were more likely to be admitted on neonatal intensive care unit and there was a marginal increased risk

This cross-sectional study evaluated the association between salivary immunoglobulins, plaque index, and gingival index in Brazilian children with and without type 1 diabetes mellitus (DM1). The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) checklist for the reporting of observational studies was followed. The DM1 group had 38 children, and an equal number of volunteers matched by sex and age were recruited as controls. Clinical examination was performed for plaque index and gingival index determination. Non-stimulated whole saliva was collected. Concentrations of IgA, IgG, and IgM were determined by ELISA test. Data were tested by the Kolmogorov-Smirnov, Mann-Whitney, and Spearman tests and a multiple linear regression model (p<0.05) was performed. Gingival index was higher in the Control (DM1: 0.16±0.17; Control: 0.24±0.23, p=0.040). In DM1, there was a correlation between IgA and age (rho=0.371, p=0.024), IgM and IgG (rho=0.459, p=0.007), and IgM and gingival index (rho=0.394, p=0.014). In DM1, multiple linear regression showed that age (p=0.041; β=0.363), gingival index (p=0.041; β=0.398), and plaque index (p=0.008; β=-0.506) were good predictors of IgA levels in saliva. Thus, IgA was the only researched immunoglobulin that was directly associated with plaque and gingival indices in Brazilian children with DM1, but not in control subjects.

Objective: This study aims to evaluate the impact of morning-evening preference in pregnancy outcomes in gestational diabetes mellitus (GDM). Materials and methods: This is a prospective cohort study of 2nd-3rd trimester GDM outpatient care in Fortaleza, Brazil (2018-2020). Eveningness was defined by the Horne-Östberg Morningness-Eveningness-Questionnaire (MEQ ≤ 41). Furthermore, we obtained a 7-day actigraphic register. Subjective sleep quality, daytime somnolence, insomnia, fatigue and depressive symptoms were also evaluated. Associations with pregnancy outcomes were investigated. Results: Among 305 patients with [...] ABSTRACT Objective: This study aims to evaluate the impact of morning-evening preference in pregnancy outcomes in gestational diabetes mellitus (GDM). Materials and methods: This is a prospective cohort study of 2nd-3rd trimester GDM outpatient care in Fortaleza, Brazil (2018-2020). Eveningness was defined by the Horne-Östberg Morningness-Eveningness-Questionnaire (MEQ ≤ 41). Furthermore, we obtained a 7-day actigraphic register. Subjective sleep quality, daytime somnolence, insomnia, fatigue and depressive symptoms were also evaluated. Associations with pregnancy outcomes were investigated. Results: Among 305 patients with

OBJECTIVE: To investigate sleep alterations and associated factors in pregnant diabetic women (n=141). METHODS: Sleep profile, sociodemographics and clinical information were collected. Poor sleep quality (Pittsburgh Sleep Quality Index >5) and excessive daytime sleepiness (Epworth Sleepiness Scale >= 10), sleep duration (h), sleep latency (min), frequent sleep interruption and short sleep (<= 6 h) were assessed in type 1 diabetes mellitus (16.3%), type 2 diabetes mellitus (25.5%) and gestational diabetes mellitus (58.2%). RESULTS: Poor sleep quality was found in 58.8% of patients and daytime sleepiness in 25.7%, regardless of hyperglycemia etiology. No correlation existed between daytime sleepiness and poor sleep quality (Pearson correlation r=0.02, p=0.84). Short sleep duration occurred in 1/3 of patients (31.2%). Sleep interruptions due to frequent urination affected 72% of all and sleep interruptions due to any cause 71.2%. Metformin was used by 65.7% of type 2 diabetes mellitus and 28.7% of gestational diabetes mellitus. In gestational diabetes mellitus, parity number was independently associated with poor sleep quality (p=0.02; OR=1.90; 95%CI 1.07-3.36) and metformin use was also independently associated with poor sleep quality (p=0.03; OR=2.36; 95%CI 1.05-5.29). CONCLUSIONS: Our study originally shows that poor sleep quality and excessive daytime sleepiness are frequent in diabetic pregnancy due to different etiologies. Interestingly, only in gestational diabetes mellitus, metformin therapy and higher parity were associated with poor sleep quality.

Background: In current management of type 2 diabetes (T2DM), cardiovascular and renal prevention have become important targets to be achieved. In this context, a joint panel of four endocrinology societies from Brazil and Portugal was established to develop an evidence-based guideline for treatment of hyperglycemia in T2DM.Methods: MEDLINE (via PubMed) was searched for randomized clinical trials, meta-analyses, and observational studies related to diabetes treatment. When there was insufficient high-quality evidence, expert opinion was sought. Updated positions on treatment of T2DM patients with heart failure (HF), atherosclerotic CV disease (ASCVD), chronic kidney disease (CKD), and patients with no vascular complications were developed. The degree of recommendation and the level of evidence were determined using predefined criteria.Results and conclusions: In non-pregnant adults, the recommended HbA_1ctarget is below 7%. Higher levels are recommended in frail older adults and patients at higher risk of hypoglycemia. Lifestyle modification is recommended at all phases of treatment. Metformin is the first choice when HbA_1cis 6.5–7.5%. When HbA_1cis 7.5–9.0%, dual therapy with metformin plus an SGLT2i and/or GLP-₁RA (first-line antidiabetic agents, AD1) is recommended due to cardiovascular and renal benefits. If an AD1 is unaffordable, other antidiabetic drugs (AD) may be used. Triple or quadruple therapy should be considered when HbA_1cremains above target. In patients with clinical or subclinical atherosclerosis, the combination of one AD1 plus metformin is the recommended first-line therapy to reduce cardiovascular events and improve blood glucose control. In stable heart failure with low ejection fraction (< 40%) and glomerular filtration rate (eGFR) > 30 mL/min/1.73 m², metformin plus an SGLT-2i is recommended to reduce cardiovascular mortality and heart failure hospitalizations and improve blood glucose control. In patients with diabetes-associated chronic kidney disease (CKD) (eGFR 30–60 mL/min/1.73 m²or eGFR 30–90 mL/min/1.73 m²with albuminuria > 30 mg/g), the combination of metformin and an SGLT2i is recommended to attenuate loss of renal function, reduce albuminuria and improve blood glucose control. In patients with severe renal failure, insulin-based therapy is recommended to improve blood glucose control. Alternatively, GLP-₁RA, DPP4i, gliclazide MR and pioglitazone may be considered to reduce albuminuria. In conclusion, the current evidence supports individualizing anti-hyperglycemic treatment for T2DM.

Background: Evogliptin (EVO) is a potent and selective dipeptidyl peptidase-4 inhibitor (DPP4i) developed for the treatment of type 2 diabetes mellitus (T2DM). DPP4is are known to exhibit a better glucose-lowering effect in Asians compared to other ethnic groups. Once EVO’s clinical development program was conducted in Asian patients, this bridging study was designed to validate for the Brazilian population the efficacy and safety of the approved dose regimen (once-daily 5.0 mg). Methods: In this randomized, double-blind, double-dummy, parallel trial, 146 patients with T2DM with inadequate glycemic control on diet and exercise (7.5% ≤ HbA1c ≤ 10.5%) were randomly assigned to a 12-week once-daily treatment with EVO 2.5 mg (N = 35), EVO 5 mg (N = 36), EVO 10 mg (N = 36), or sitagliptin (SITA) 100 mg (N = 39). Absolute changes (Week 12—baseline) in HbA1c, fasting plasma glucose (FPG) and body weight (BW) were obtained. One-sided one sample t test was used to determine if mean HbA1c reduction in each group was < − 0.5% (beneficial metabolic response). An analysis of covariance estimated the change in HbA1c and FPG adjusted by baseline HbA1c, FPG, body mass index (BMI) and study site. Response rates to treatment were also established. No between-group statistical comparisons were planned. Results: HbA1c mean reductions were − 1.26% (90% CI − 1.7%, − 0.8%), − 1.12% (90% CI − 1.4%, − 0.8%), − 1.29% (90% CI − 1.6%, − 1.0%), and − 1.15% (90% CI − 1.5%, − 0.8%) in groups EVO 2.5 mg, EVO 5 mg, EVO 10 mg, and SITA 100 mg, respectively. FPG levels showed a mean increase of 10.89 mg/dL in group EVO 2.5 mg, with significant mean reductions of − 18.94 mg/dL, − 21.17 mg/dL, and − 39.90 mg/dL in those treated with EVO 5 mg, EVO 10 mg, and SITA 100 mg, respectively. BW showed significant reductions of approximately 1 kg in patients treated with EVO 5 mg, EVO 10 mg, and SITA 100 mg. Mean adjusted reductions of HbA1c and FPG levels confirmed the significant clinical benefit of all study treatments. The clinical benefit of EVO’s “target” dose (5 mg) was confirmed. No safety concerns were identified. Conclusions: These results validate for the Brazilian population the approved dose regimen of EVO (once-daily 5 mg). Trial registration ClinicalTrials.gov Identifier: NCT02689362 (first posted on 02/23/2016).

SUMMARY BACKGROUND: Sleep abnormalities are frequent in patients with endocrine metabolic disorders (EMD) such as arterial hypertension, diabetes and obesity. Adiponectin is a peptide largely secreted by adipocytes and has various properties e.g. anti-inflammatory, antioxidant, antiatherogenic, pro-angiogenic, vasoprotective and insulin-sensitizing. Adiponectin inversely relates to body weight and when its concentration decreases, the resistin concentration increases resulting in greater insulin resistance. OBJECTIVE: The objective of this study is to examine factors influencing adiponectin levels in a population with EMD. METHODS: This was a cross-sectional evaluation of 332 patients (18 to 80y) presenting arterial hypertension, pre-diabetes, diabetes, and/or obesity. Investigation included clinical evaluation of comorbidities, general blood tests and adiponectin measures (ELISA). Chronic sleep deprivation was determined if habitual sleep was 4 days/week. RESULTS: Arterial hypertension (78.5%), type-2 diabetes (82.3%), and overweight (45.0%)/obesity (38.8%) were frequent. Patients with type-2 diabetes tended to have more chronic sleep deprivation (p=0.05). Adiponectin levels increased with age and were inversely correlated with sagittal abdominal diameter (p=0.04) and fasting insulin (p=0.001). Chronic sleep deprivation was associated with higher adiponectin concentration [OR=1.34; CI=1.13-1.58; p<0.005] and this was maintained after adjustment for gender, age, body mass index, menopause, arterial hypertension, American Diabetes Association classification and physical exercise levels [OR=1.38; 0=1.14-1.66: p=0.001]. CONCLUSION: In patients with EMD, adiponectin is influenced not only by obesity but also by age and sleep deprivation. The latter finding may be explained by a compensatory effect or a counter regulation to minimize the harmful effects of sleep deprivation.