Obesity, metabolic syndrome, and disorders of energy balance

An evidence gap map of interventions for noncommunicable diseases and risk factors among children and adolescents

Substance misuse, obesity, mental health conditions, type 1 diabetes, cancers, and cardiovascular and chronic respiratory diseases together account for 41% of disability-adjusted life years linked to noncommunicable diseases (NCDs) among children and adolescents worldwide. However, the evidence on risk factors and interventions for this age group is scarce. Here we searched four databases to generate an evidence gap map of existing interventions and research gaps for these risk factors and NCDs. We mapped 159 reviews with 2,611 primary studies; most (96.2%) were conducted in high-income countries, and only 100 studies (3.8%) were from low- and middle-income countries (LMICs). The efficacy of therapeutic interventions on biomarkers and adverse events for NCDs appears to be well evidenced. Interventions for mental health conditions appear to be moderately evidenced, while interventions for obesity and substance misuse appear to be moderate to very low evidenced. Priority areas for future research include evaluating digital health platforms to support primary NCD prevention and management, and evaluating the impact of policy changes on the prevalence of obesity and substance misuse. Our findings highlight the wide disparity of evidence between high-income countries and LMICs. There is an urgent need for increased, targeted financing to address the research gaps in LMICs.

Metabolic Consequences of Pediatric Obesity: A Review of Pathophysiology, Screening, and Treatment

The prevalence of pediatric obesity has been increasing during the last 30 years, and the subsequent metabolic consequences of obesity, which were mainly seen in adults, are now presenting in childhood. Type 2 diabetes, prediabetes, metabolic syndrome, and nonalcoholic fatty liver disease are serious metabolic ramifications of pediatric obesity; pediatricians need to be familiar in screening and treatment of these metabolic issues. This review will discuss the inflammation and insulin resistance involved in obesity that can lead to these conditions. We will explore the pathophysiology of type 2 diabetes and prediabetes, metabolic syndrome, and nonalcoholic fatty liver disease and review screening and treatment modalities. Finally, we will highlight other important endocrine related comorbidities in pediatric obesity, including polycystic ovary syndrome, precocious puberty, and early accelerated growth. [Pediatr Ann. 2023;52(2):e62-e67.].

Type-2-Diabetes Alters CSF but Not Plasma Metabolomic and AD Risk Profiles in Vervet Monkeys

Epidemiological studies suggest that individuals with type 2 diabetes (T2D) have a twofold to fourfold increased risk for developing Alzheimer's disease (AD), however, the exact mechanisms linking the two diseases are unknown. In both conditions, the majority of pathophysiological changes, including glucose and insulin dysregulation, insulin resistance, and AD-related changes in Aβ and tau, occur decades before the onset of clinical symptoms and diagnosis. In this study, we investigated the relationship between metabolic biomarkers associated with T2D and amyloid pathology including Aβ levels, from cerebrospinal fluid (CSF) and fasting plasma of healthy, pre-diabetic (PreD), and T2D vervet monkeys (Chlorocebus aethiops sabaeus). Consistent with the human disease, T2D monkeys have increased plasma and CSF glucose levels as they transition from normoglycemia to PreD and diabetic states. Although plasma levels of acylcarnitines and amino acids remained largely unchanged, peripheral hyperglycemia correlated with decreased CSF acylcarnitines and CSF amino acids, including branched chain amino acid (BCAA) concentrations, suggesting profound changes in cerebral metabolism coincident with systemic glucose dysregulation. Moreover, CSF Aβ 40 and CSF Aβ 42 levels decreased in T2D monkeys, a phenomenon observed in the human course of AD which coincides with increased amyloid deposition within the brain. In agreement with previous studies in mice, CSF Aβ 40 and CSF Aβ 42 were highly correlated with CSF glucose levels, suggesting that glucose levels in the brain are associated with changes in Aβ metabolism. Interestingly, CSF Aβ 40 and CSF Aβ 42 levels were also highly correlated with plasma but not CSF lactate levels, suggesting that plasma lactate might serve as a potential biomarker of disease progression in AD. Moreover, CSF glucose and plasma lactate levels were correlated with CSF amino acid and acylcarnitine levels, demonstrating alterations in cerebral metabolism occurring with the onset of T2D. Together, these data suggest that peripheral metabolic changes associated with the development of T2D produce alterations in brain metabolism that lead to early changes in the amyloid cascade, similar to those observed in pre-symptomatic AD.