Early anthropometric indicators of type 2 diabetes mellitus

Lower Visceral Fat is Related to Diabetic Peripheral Neuropathy

Objective

Visceral fat area (VFA) levels have been found to exhibit a strong association with various conditions such as insulin resistance (IR), inflammation, oxidative stress, metabolic syndrome (MetS), hyperlipidemia, diabetes, and its vascular complications. These complications include hypertension, cardiovascular disease, diabetic retinopathy (DR), albuminuria, and cardiovascular autonomic dysfunction, which is considered one of the main types of diabetic neuropathy. This study aimed to investigate the correlation between visceral fat and peripheral neuropathy in patients with type 2 diabetes (T2DM).

Methods

A retrospective analysis of clinical data of patients diagnosed with type 2 diabetes admitted to our hospital was conducted. After excluding 28 cases, a total of 488 patients were included, divided into the group with peripheral neuropathy (207 cases) and the control group without peripheral neuropathy (281 cases). The correlation between VFA and the presence of DPN was assessed using correlation and multiple logistic regression analyses.

Results

In terms of general information, the group with peripheral neuropathy had lower BMI but longer duration of diabetes compared to the control group. Regarding biochemical indicators, VFA were lower in the group with peripheral neuropathy, while FPG and HbA1c levels were higher (all P<0.05). Spearman correlation analysis showed a negative correlation between VFA, and the presence of peripheral neuropathy in patients with type 2 diabetes (P<0.05). Logistic regression analysis indicated that VFA, duration of diabetes, and HbA1c level were influencing factors for the occurrence of peripheral neuropathy in patients with type 2 diabetes (P<0.05).

Conclusion

This study revealed a correlation between visceral fat and peripheral neuropathy in patients with type 2 diabetes, highlighting the importance of monitoring visceral fat in such patients. In addition to lower levels of VFA, factors such as duration of diabetes and glycated hemoglobin (HbA1c) level were also associated with peripheral neuropathy in patients with T2DM.

Fetal Growth Trajectories and Measures of Insulin Resistance in Young Adults

CONTEXT

Events during gestation greatly influence the risk of cardiometabolic diseases including diabetes in offspring during later life.

OBJECTIVE

This study aimed to investigate relationships between serial ultrasound-derived fetal growth trajectories and markers of insulin resistance in young adults in the Raine Study, an Australian pregnancy cohort.

METHODS

Linear mixed modeling examined the relationship between fetal growth trajectory groups, constructed using serial ultrasound-based abdominal circumference (AC), femur length (FL), and head circumference (HC) from 1333 mother-fetal pairs, and offspring Homeostatic Model Assessment of Insulin Resistance (HOMA-IR), as a marker of diabetes risk, at 20 (n = 414), 22 (n = 385), and 27 (n = 431) years. Analyses were adjusted for age, sex, ethnicity, socioeconomic status, adult lifestyle factors, and maternal factors during pregnancy.

RESULTS

The study identified 7 AC, 5 FL, and 5 HC growth trajectory groups. Compared to the average-stable (reference) group, a low-falling AC growth trajectory (26%; P = .005) and 2 low HC growth trajectories (20%; P = .006% and 8%; P = .021) were associated with higher adult HOMA-IR. Trajectories representing a high-stable FL and a rising HC were associated with 12% (P = .002) and 9% (P = .021) lower adult HOMA-IR, respectively, compared to the reference group.

CONCLUSION

Restricted fetal HC and AC from early pregnancy are associated with higher relative insulin resistance in the offspring during adulthood. These data strengthen our understanding of the importance of the intrauterine environment and its effect on the risk of predisposition to adult diabetes and related metabolic disorders.

The Geroprotective Drug Candidate CMS121 Alleviates Diabetes, Liver Inflammation, and Renal Damage in db/db Leptin Receptor Deficient Mice

db/db mice, which lack leptin receptors and exhibit hyperphagia, show disturbances in energy metabolism and are a model of obesity and type 2 diabetes. The geroneuroprotector drug candidate CMS121 has been shown to be effective in animal models of Alzheimer's disease and aging through the modulation of metabolism. Thus, the hypothesis was that CMS121 could protect db/db mice from metabolic defects and thereby reduce liver inflammation and kidney damage. The mice were treated with CMS121 in their diet for 6 months. No changes were observed in food and oxygen consumption, body mass, or locomotor activity compared to control db/db mice, but a 5% reduction in body weight was noted. Improved glucose tolerance and reduced HbA1c and insulin levels were also seen. Blood and liver triglycerides and free fatty acids decreased. Improved metabolism was supported by lower levels of fatty acid metabolites in the urine. Markers of liver inflammation, including NF-κB, IL-18, caspase 3, and C reactive protein, were lowered by the CMS121 treatment. Urine markers of kidney damage were improved, as evidenced by lower urinary levels of NGAL, clusterin, and albumin. Urine metabolomics studies provided further evidence for kidney protection. Mitochondrial protein markers were elevated in db/db mice, but CMS121 restored the renal levels of NDUFB8, UQCRC2, and VDAC. Overall, long-term CMS121 treatment alleviated metabolic imbalances, liver inflammation, and reduced markers of kidney damage. Thus, this study provides promising evidence for the potential therapeutic use of CMS121 in treating metabolic disorders.

Predicting of excess body fat in children

PURPOSE OF REVIEW

Approximately 370 million children and adolescents worldwide showed overweight or obesity in 2016. The risk of developing severe comorbidities depends on the age of onset and the duration of obesity. This review discusses available methodologies to detect excess body fat in children as well as the early life factors that predict excess body fat and its development.

RECENT FINDINGS

Factors, such as parental nutritional status, maternal weight gain during pregnancy, maternal malnutrition, maternal smoking during pregnancy, low and high birth weight, rapid weight gain, and short infant sleep duration have been independently and positively associated with neonatal, infant, and children adiposity. Early detection of excess body fat in children through the use of various tools is the first step in preventing nutrition-related diseases in adulthood.

SUMMARY

The early detection of excess body fat and the implementation of efficient interventions to normalize the weight of children and adolescents at obesity risk are essential to prevent diseases in adult life.