Impact of triglycerides and waist circumference on insulin resistance and β-cell function in non-diabetic first-degree relatives of type 2 diabetes

Potential utilization of ferulic acid and its derivatives in the management of metabolic diseases and disorders: An insight into mechanisms

Metabolic diseases are abnormal conditions that impair the normal metabolic process, which involves converting food into energy at a cellular level, and cause difficulties like obesity and diabetes. The study aimed to investigate how ferulic acid (FA) and its derivatives could prevent different metabolic diseases and disorders and to understand the specific molecular mechanisms responsible for their therapeutic effects. Information regarding FA associations with metabolic diseases and disorders was compiled from different scientific search engines, including Science Direct, Wiley Online, PubMed, Scopus, Web of Science, Springer Link, and Google Scholar. This review revealed that FA exerts protective effects against metabolic diseases such as diabetes, diabetic retinopathy, neuropathy, nephropathy, cardiomyopathy, obesity, and diabetic hypertension, with beneficial effects on pancreatic cancer. Findings also indicated that FA improves insulin secretion by increasing Ca2+ influx through the L-type Ca2+ channel, thus aiding in diabetes management. Furthermore, FA regulates the activity of inflammatory cytokines (TNF-α, IL-18, and IL-1β) and antioxidant enzymes (CAT, SOD, and GSH-Px) and reduces oxidative stress and inflammation, which are common features of metabolic diseases. FA also affects various signaling pathways, including the MAPK/NF-κB pathways, which play an important role in the progression of diabetic neuropathy and other metabolic disorders. Additionally, FA regulates apoptosis markers (Bcl-2, Bax, and caspase-3) and exerts its protective effects on cellular destruction. In conclusion, FA and its derivatives may act as potential medications for the management of metabolic diseases.

Joint association of weight-adjusted-waist index and physical activity with insulin resistance in adolescents: a cross-sectional study

BACKGROUND

The weight-adjusted waist index (WWI) is a recently developed obesity metric, and the aim of this study was to investigate the relationship between physical activity (PA) and WWI and the homeostasis model assessment of insulin resistance (HOMA-IR) in adolescents, as well as the joint association of HOMA-IR.

METHODS

This study was based on the National Health and Nutrition Survey conducted between 2013 and 2016 and included 1024 adolescents whose median age was 15.4. Multivariate linear regression was used to examine the associations between HOMA-IR and PA and WWI. Using generalized additive models, a potential nonlinear link between WWI and HOMA-IR was evaluated. Subgroup analysis was also carried out.

RESULTS

The fully adjusted model revealed a positive association (β: 0.48, 95% CI: 0.43, 0.53) between the WWI and HOMA-IR. The HOMA-IR was lower in physically active (β: -0.16, 95% CI: -0.26, -0.05) participants versus inactive participants. Participants who had higher WWI and were not physically active (β: 0.69; 95% CI: 0.56, 0.82) had the highest levels of HOMA-IR compared to participants who had lower WWI and were physically active. Subgroup analysis revealed that these correlations were similar in males and females.

CONCLUSION

Our results demonstrated that higher WWI and PA were associated with a lower HOMA-IR and that WWI and PA had a combined association with HOMA-IR. The findings of this study are informative for the preventing insulin resistance in adolescents.

Weight Gain from Birth to Adolescence and TyG Index at Age 18 Years: A Cohort Study in Northeast Brazil

BACKGROUND

Developmental models suggest that the phenotypes may arise from an immediate or mediated adaptive metabolic response of the perinatal growth. Evidence on the cumulative effects of growth and factors associated with risk of insulin resistance in adolescents is lacking.

OBJECTIVE

To investigate the association between birthweight, weight gain during infancy, childhood and adolescence and the triglyceride-glucose index in adolescents.

METHODS

This is a cohort of 217 children born at term, followed for the first six months, and reassessed at 8 and 18 years of age. The variables of interest were birthweight, postnatal growth defined as rapid postnatal growth when the weight gain from birth to six months of age was greater than 0.67 z-score, and the same criterion was used for high BMI gain from ages 6 months to 8 years, and from 8 to 18 years. Socioeconomic condition, nutritional status, practice of physical exercises and consumption of ultra-processed foods were verified. Multivariate linear regression analysis was used to verify the effect of the variables on the triglyceride-glucose index.

RESULTS

Birthweight was not associated with triglyceride-glucose index in adolescence. Rapid postnatal growth during the first 6 months, higher BMI gain from 8 to 18 years and higher waist circumference contributed significantly to explain higher triglyceride-glucose index.

CONCLUSION FOR PRACTICE

Our findings suggest that rapid postnatal growth may be one of the first signs of a higher triglyceride-glucose index in adolescence and that attention should be paid to the greater gain in body mass between childhood and adolescence for the risk of a higher triglyceride-glucose index.

Comparative analysis of antioxidant status in diabetic patients with and without insulin resistance

Diabetes mellitus (DM) is a metabolic disorder characterized by insulin resistance, where hyperglycemia is believed to trigger oxidative stress, contributing to insulin function impairment. This study aimed to assess and compare levels of malondialdehyde (MDA), glutathione (GSH), and uric acid in diabetic patients with and without insulin resistance and to assess the correlation with fasting blood sugar (FBS) and lipid profiles. Significant variations were found in MDA, uric acid, and GSH levels between insulin-resistant and non-resistant diabetic groups (p<0.0001). FBS, hemoglobin A1C (HbA1C), insulin activity, and Homeostatic Model Assessment for Insulin Resistance (HOMA-IR) significantly differed between the groups (p<0.0001). Total cholesterol, triglyceride, high-density lipoprotein (HDL), very-low-density lipoprotein (VLDL), and low-density lipoprotein-cholesterol (LDL-C) concentrations were higher in the insulin resistance group than the non-insulin resistance group (p<0.0001). Uric acid also exhibited a significant correlation (p<0.01) with LDL levels, while HDL levels showed a negative correlation with both MDA and uric acid (p<0.001). Diabetes mellitus, characterized by chronic hyperglycemia, may play a role in the development of oxidative stress. This oxidative stress is a significant factor that could potentially lead to the onset of insulin resistance, a condition strongly associated with dyslipidemia. The results of this study indicate that the decrease in GSH levels and the increase in MDA and uric acid levels are particularly noteworthy in the context of insulin resistance among patients with diabetes.

Effectiveness of Non-Contact Dietary Coaching in Adults with Diabetes or Prediabetes Using a Continuous Glucose Monitoring Device: A Randomized Controlled Trial

We aimed to evaluate the effectiveness of dietary coaching and continuous glucose monitoring (CGM) in patients with diabetes or prediabetes to improve their behavioral skills and health outcomes. A randomized controlled study with pre- and post-testing was conducted. Data were collected between November 2020 and April 2021. Forty-five patients with diabetes or prediabetes who used a CGM device were enrolled and analyzed. Dietary education, individual coaching and group coaching were provided to participants in the experimental group for 4 weeks. After the intervention, the thigh circumference in men significantly differed between the two groups (z = -2.02, p = 0.044). For women, participants in the experimental group showed greater improvement in eating self-efficacy compared with those in the control group (z = -2.66, p = 0.008). Insomnia was negatively related to the change in eating self-efficacy (r = -0.35, p = 0.018) and increase in thigh circumference (r = -0.35, p = 0.017). Even if used within a short intervention period, non-contact dietary coaching programs can help enhance behavioral skills, such as eating self-efficacy and health outcomes, such as thigh circumference. Moreover, the changed variables can indirectly improve other health outcomes in patients with diabetes or prediabetes.

Normal fasting triglyceride levels and incident type 2 diabetes in the general population

Background

Type 2 diabetes is increasing worldwide. Traditionally, only hypertriglyceridemia is considered a risk factor. We investigated whether also normal triglycerides prospectively associate with incident type 2 diabetes in healthy subjects.

Methods

Incident type 2 diabetes was determined in healthy individuals with normal triglyceride levels from a prospective longitudinal cohort study (PREVEND, n = 2085, 11.4-year median follow-up).

Results

Type 2 diabetes incidence was 3.8%. In linear regression analysis baseline insulin, HOMA-IR, total cholesterol, HDL cholesterol, eGFR, systolic blood pressure (all p < 0.001), glucose, age and creatinine (all p < 0.01) independently associated with triglycerides within the normal range, comparable to what would be expected from associations with increased triglycerides. In Kaplan-Meier analysis sex-stratified tertiles of normal triglycerides prospectively associated with de novo type 2 diabetes (p < 0.001). Cox regression confirmed a significant prospective association independent of HOMA-IR [HR (95% CI), 1.39 (1.12, 1.74), p = 0.002] and several other recognized risk factors.

Conclusions

Even in healthy subjects without metabolic syndrome increasing triglyceride levels within the normal range confer a continuous increase in type 2 diabetes incidence. These data indicate that virtually everyone could potentially benefit from triglyceride lowering, further encouraging implementation of lifestyle changes in the general population.

Supplementary information

The online version contains supplementary material available at 10.1186/s12933-022-01530-8.