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Purpose of ReviewDiet is a pillar of type 2 diabetes mellitus (T2DM) management. Intermittent fasting (IF) is postulated as a novel approach, able to improve glucose control and potentially capable of reversing some of the pathophysiological alterations of this condition. In this review, the molecular and clinical evidence of diets based on intermittent energy restriction (IER) in laboratory animal models and subjects with type 2 diabetes is discussed. The mechanisms through which IF are thought to improve glucose homeostasis and reverse β cell failure are also reviewed.Recent FindingsStudies derived from murine models suggest that IER is associated with improvements in β cell function and insulin resistance. Two main mechanisms have been demonstrated, one derived from the autophagy-lysosome pathway and, the other from an increase in neurogenin3 (Ngn3) levels (a marker for endocrine progenitor cells like β cells during development). Notably, IER also promotes reconstruction of gut microbiota. In mice, all effects were independent of weight loss. By contrast, in human studies, outcomes are widely attributable to weight loss. The more consistent results are reductions in body weight, visceral fat, and glucose and insulin levels. Increases in HDL cholesterol levels are also frequently reported. The decrease in insulin levels observed in humans is in opposition with the increase reported in mice, suggesting that the main mechanism in humans is an improvement in peripheral insulin action.SummaryRecommending diets based on intermittent fasting in humans is based on the promising results found in animal models where an improvement in β cell function has been recorded. β cell function after IF has not been assessed in human subjects with T2DM. This review provides information regarding different protocols for the implementation of IF in diabetic persons and also provides important safety advice in order to avoid adverse effects. Clinical studies do not show an increased risk of hypoglycemia, and a recent case series reported reversal of T2DM.

Fibroblast growth factor 21 (FGF21) increases glucose uptake. It is unknown if FGF21 serum levels are affected by exercise. This was a comparative longitudinal study. Anthropometric and biochemical evaluation were carried out before and after a bout of exercise and repeated after two weeks of daily supervised exercise. The study sample was composed of 60 sedentary young healthy women. The mean age was 24±3.7 years old, and the mean BMI was 21.4±7.0 kg/m². The anthropometric characteristics did not change after two weeks of exercise. FGF21 levels significantly increased after two weeks of exercise (276.8 ng/l (142.8-568.6) vs. (460.8 (298.2-742.1), p<0.0001)). The delta (final-basal) log of serum FGF21, adjusted for BMI, showed a significant positive correlation with basal glucose (r = 0.23, p = 0.04), mean maximal heart rate (MHR) (r = 0.54, p<0.0001), mean METs (r = 0.40, p = 0.002), delta plasma epinephrine (r = 0.53, p<0.0001) and delta plasma FFAs (r = 0.35, p = 0.006). A stepwise linear regression model showed that glucose, MHR, METs, FFAs, and epinephrine, were factors independently associated with the increment in FGF21 after the exercise program (F = 4.32; r² = 0.64, p<0.0001). Serum FGF21 levels significantly increased after two weeks of physical activity. This increment correlated positively with clinical parameters related to the adrenergic and lipolytic response to exercise. ClinicalTrials.gov NCT01512368.

Background Sampson et al. developed a novel method to estimate very low-density lipoprotein cholesterol (VLDL-C) and low-density lipoprotein cholesterol (LDL-C) in the setting of hypertriglyceridemia. Familial Combined Hyperlipidemia (FCHL) is a common primary dyslipidemia in which lipoprotein composition interferes with LDL-C estimation. This study aimed to evaluate performance of LDL-C using this new method (LDL-S) compared with LDL-C estimated by Friedewald’s and Martin eq. (LDL-F, LDL-M) in FCHL. Methods Data were collected from 340 subjects with confirmed FCHL. Concordance for VLDL-C measured by ultracentrifugation and LDL-C estimated using these measures compared to Sampson’s, Martin’s and Friedewald’s equations was performed using correlation coefficients, root mean squared error (RMSE) and bias. Also, concordance of misclassified metrics according to LDL-C (< 70 and < 100 mg/dL) and Apo B (< 80 and < 65 mg/dL) thresholds were assessed. Results Sampson’s equation was more accurate (RMSE 11.21 mg/dL; R 2  = 0.88) compared to Martin’s (RMSE 13.15 mg/dL; R 2  = 0.875) and the Friedewald’s equation (RMSE 13.7 mg/dL; R 2  = 0.869). When assessing performance according to LDL-C, Sampson’s had highest correlation and lowest RMSE compared to other equations (RMSE 19.99 mg/dL; R 2  = 0.840). Comparing performance strength across triglyceride levels, Sampson’s showed consistently improved correlations compared to Martin’s and Friedewald’s formulas for increasing triglycerides and for the FCHL phenotype of mixed dyslipidemia. Sampson’s also had improved concordance with treatment goals. Conclusions In FCHL, VLDL-C and LDL-C estimation using Sampson’s formula showed higher concordance with lipid targets assessed using VLDL-C obtained by ultracentrifugation compared with Friedewald’s and Martin’s equations. Implementation of Sampson’s formula could improve treatment monitoring in FCHL.

BackgroundIncreased adiposity and visceral obesity have been linked to adverse COVID-19 outcomes. The amount of epicardial adipose tissue (EAT) may have relevant implications given its proximity to the heart and lungs. Here, we explored the role of EAT in increasing the risk for COVID-19 adverse outcomes.MethodsWe included 748 patients with COVID-19 attending a reference center in Mexico City. EAT thickness, sub-thoracic and extra-pericardial fat were measured using thoracic CT scans. We explored the association of each thoracic adipose tissue compartment with COVID-19 mortality and severe COVID-19 (defined as mortality and need for invasive mechanical ventilation), according to the presence or absence of obesity. Mediation analyses evaluated the role of EAT in facilitating the effect of age, body mass index and cardiac troponin levels with COVID-19 outcomes.ResultsEAT thickness was associated with increased risk of COVID-19 mortality (HR 1.18, 95% CI 1.01–1.39) independent of age, gender, comorbid conditions and BMI. Increased EAT was associated with lower SpO2 and PaFi index and higher levels of cardiac troponins, D-dimer, fibrinogen, C-reactive protein, and 4 C severity score, independent of obesity. EAT mediated 13.1% (95% CI 3.67–28.0%) and 5.1% (95% CI 0.19–14.0%) of the effect of age and 19.4% (95% CI 4.67–63.0%) and 12.8% (95% CI 0.03–46.0%) of the effect of BMI on requirement for intubation and mortality, respectively. EAT also mediated the effect of increased cardiac troponins on myocardial infarction during COVID-19.ConclusionEAT is an independent risk factor for severe COVID-19 and mortality independent of obesity. EAT partly mediates the effect of age and BMI and increased cardiac troponins on adverse COVID-19 outcomes.

Background Latin America has no accepted performance standards for continuous glucose monitoring (CGM) technology evaluation. This has resulted in the emergence of various CGM devices in the market that do not meet strict quality, accuracy, reliability or safety standards. CGM systems are crucial for managing diabetes, as they provide frequent glucose measurements and help detect hypoglycemia or hyperglycemia episodes or even predict these events. Ensuring the reliability and accuracy of CGM devices is essential for patient safety. This consensus statement aims to establish a consensus-driven framework of expert recommendations regarding the metrics that should be evaluated to achieve high standards in CGM devices. Materials and methods A modified Delphi methodology was employed, engaging endocrinologists, pediatric endocrinologists and diabetologists from Latin America. Experts participated in multiple rounds of surveys and discussions to reach consensus on key characteristics measures, including accuracy thresholds, clinical validation protocols, and post-market surveillance requirements. Quantitative and qualitative data were analyzed to ensure robust recommendations. Results The expert panel identified major gaps in existing CGM regulations and established 12 key recommendations and one checklist to align Latin American standards with international best practices. These included the implementation of minimum accuracy thresholds, the adoption of standardized clinical validation protocols, and the enforcement of post-market surveillance measures. The panel also emphasized the importance of patient education, healthcare provider involvement in decision-making, and accessibility to enhance CGM adoption and usability. We underscore the necessity of these measures to improve patient outcomes, patient safety, and regulatory consistency in the region, while also enhancing CGM reliability and accuracy. Conclusion This consensus statement highlights the urgent need for a standardized metrics to evaluate CGM devices in Latin America. Implementing standardized accuracy requirements, rigorous validation protocols, and enhanced patient education will ensure device reliability, improve clinical outcomes, and foster a more equitable healthcare landscape for diabetes management in the region.

Background Whether the metabolically healthy obese (MHO) phenotype is a single, stable or a transitional, fluctuating state is currently unknown. The Mexican-Mestizo population has a genetic predisposition for the development of type 2 diabetes (T2D) and other cardiometabolic complications. Little is known about the natural history of metabolic health in this population. The aim of this study was to analyze the transitions over time among individuals with different degrees of metabolic health and body mass index, and evaluate the incidence of cardiometabolic outcomes according to phenotype. Methods The study population consisted of a metabolic syndrome cohort with at least 3 years of follow up. Participants were apparently-healthy urban Mexican adults ≥20 years with a body mass index (BMI) ≥20 kg/m2. Metabolically healthy phenotype was defined using the criteria of the National Cholesterol Education Program ( NCEP ) Adult Treatment Panel III ( ATP III ) metabolic syndrome criteria and the subjects were stratified into 4 groups according to their BMI and metabolic health. For cardiometabolic outcomes we estimated the incidence of cardiometabolic outcomes and standardized them per 1, 000 person-years of follow-up. Finally, to evaluate the risk for transition and development of cardiometabolic outcomes, we fitted Cox Proportional Hazard regression models. Results Amongst the 5541 subjects, 54.2% were classified as metabolically healthy and 45.8% as unhealthy. The MHO prevalence was 39.3%. Up to a third of the population changed from their initial category to another and the higher transition rate was observed in MHO (42.9%). We also found several novel factors associated to transition to metabolically unhealthy phenotype; socioeconomic status, number of pregnancies, a high carbohydrate intake, history of obesity and consumption of sweetened beverages. Similarly, visceral adipose tissue (VAT) was a main predictor of transition; loss of VAT ≥5% was associated with reversion from metabolically unhealthy to metabolically healthy phenotype (hazard ratio (HR) 1.545, 95%CI 1.266–1.886). Finally, we observed higher incidence rates and risk of incident T2D and hypertension in the metabolically unhealthy obesity (MUHO) and metabolically unhealthy lean (MUHL) phenotypes compared to MHO. Conclusions Metabolic health is a dynamic and continuous process, at high risk of transition to metabolically unhealthy phenotypes over time. It is imperative to establish effective processes in primary care to prevent such transitions.

Background The COVID-19 pandemic disrupted care for non-communicable diseases globally. This study synthesizes evidence on disruptions to primary care, focusing on hypertension and diabetes care and mitigation approaches taken during the pandemic in Latin America and the Caribbean (LAC). Methods We conducted a scoping review, searching nine electronic databases for studies from January 2020 to December 2022 on COVID-19-related primary care disruptions and interventions, including studies on hospital-based interventions given their relevance to the pandemic response in LAC. We adapted the Primary Health Care Performance Initiative framework to develop our search strategy and synthesize data. For studies reporting interventions, we included studies conducted outside of LAC. Results Of 33,510 references screened, 388 studies were included (259 reported disruptions in LAC, 61 interventions in LAC, 63 interventions outside LAC, and five interventions from countries within and outside LAC), with three-quarters presenting data from Brazil, Argentina, Mexico, and Peru; few studies focused on rural areas. Additionally, the few studies that adequately quantified care disruptions reported a reduction in hypertension and diabetes control during the pandemic (e.g., hypertension control rate decreased from 68 to 55% in Mexico). Frequently reported causes of disruption included burnout and mental health challenges among healthcare workers (with disproportionate effects by type of worker), reduced medication supplies, and reduced frequency of clinic visits by patients (e.g., due to financial constraints). The most reported interventions included remote care strategies (e.g., smartphone applications, virtual meeting platforms) and mental health programs for healthcare workers. Remote care strategies were deemed feasible for care delivery, triaging, and clinical support for non-physicians. Patients were generally satisfied with telemedicine, whereas providers had mixed perceptions. Robust evidence on the effectiveness of remote care strategies for diabetes and hypertension care was unavailable in LAC. Conclusion Hypertension and diabetes control appeared to worsen in LAC during the pandemic. Major reported causes of care disruptions were workforce issues, reduced medication supply, and changes in patient perceptions of seeking and receiving primary healthcare. Remote care strategies were feasible for various purposes and were well received by patients. However, the lack of data on intervention effectiveness underscores the importance of strengthening research capacity to generate robust evidence during future pandemics. Developing resilient healthcare systems able to provide care for hypertension and diabetes during future pandemics will depend on investment in the healthcare workforce, medical supply chain, health data and research infrastructure, and technology readiness.

IntroductionThe COVID-19 pandemic significantly disrupted primary healthcare globally, with particular impacts on diabetes and hypertension care. This review will examine the impact of pandemic disruptions of diabetes and hypertension care services and the evidence for interventions to mitigate or reverse pandemic disruptions in the Latin America and Caribbean (LAC) region.Methods and analysesThis scoping review will examine care delivery disruption and approaches for recovery of primary healthcare in the LAC region during the COVID-19 pandemic, focusing on diabetes and hypertension awareness, detection, treatment and control. Guided by Arksey and O’Malley’s scoping review methodology framework, this protocol adheres to the Joanna Briggs Institute guidelines for scoping review protocols and the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidance for protocol development and scoping reviews. We searched MEDLINE, CINAHL, Global Health, Embase, Cochrane, Scopus, Web of Science and LILACS for peer-reviewed literature published from 2020 to 12 December 2022 in English, Spanish or Portuguese. Studies will be considered eligible if reporting data on pandemic disruptions to primary care services within LAC, or interventions implemented to mitigate or reverse pandemic disruptions globally. Studies on COVID-19 or acute care will be excluded. Two reviewers will independently screen each title/abstract for eligibility, screen full texts of titles/abstracts deemed relevant and extract data from eligible full-text publications. Conflicts will be resolved through discussion and with the help of a third reviewer. Appropriate analytical techniques will be employed to synthesise the data, for example, frequency counts and descriptive statistics. Quality will be assessed using the Newcastle Ottawa Quality Assessment Scale.Ethics and disseminationNo ethics approval was needed as this is a scoping review of published literature. Results will be disseminated in a report to the World Bank and the Pan American Health Organization, in peer-reviewed scientific journals, and at national and international conferences.

Background Humanitarian crises bring unique, and potentially growing challenges to people with type 1 diabetes (T1D). We aimed to determine, in youth with T1D (mean age (± 1SD) 0–17.9 years) within and coming from humanitarian crises settings (HCS), the reported prevalence that meet international consensus targets for glycaemic, blood pressure and lipid management, and incidence of severe hypoglycaemia or diabetic ketoacidosis. Methods A narrative review of quantitative data was conducted, using a systematic process. MEDLINE (Ovid), Global Health, Web of Science, Scopus, Embase, CINAHL, APA PsycINFO, Cochrane trials, and the reference lists of eligible records were searched (January 2014-February 2024); ten records covering ten separate studies were retrieved. Results Glycaemic management was consistently suboptimal in HCS. However, among individuals coming from HCS, glycaemia varied. Across both groups, data relating to blood pressure, lipids, severe hypoglycaemia or diabetic ketoacidosis were either unavailable or limited. Conclusion Findings expose the dearth of data relating to defined youth with T1D within and coming from HCS, leaving the status of this population largely uncharacterised. With limited data indicating suboptimal T1D management, there is a pressing need for the development of a consensus guideline on, and core indicators relating to such youth within and coming from HCS, plus monitoring systems and outcome data.