Effects of obesity on metabolic and cardiovascular outcomes following insulin initiation in patients with type 2 diabetes

Olanzapine-induced lipid disturbances: A potential mechanism through the gut microbiota-brain axis

Objective: Long-term use of olanzapine can induce various side effects such as lipid metabolic disorders, but the mechanism remains to be elucidated. The gut microbiota-brain axis plays an important role in lipid metabolism, and may be related to the metabolic side effects of olanzapine. Therefore, we explored the mechanism by which olanzapine-induced lipid disturbances through the gut microbiota-brain axis.

Methods: Sprague Dawley rats were randomly divided into two groups, which underwent subphrenic vagotomy and sham surgery. Then the two groups were further randomly divided into two subgroups, one was administered olanzapine (10 mg/kg/day) by intragastric administration, and the other was administered normal saline by intragastric administration (4 ml/kg/day) for 2 weeks. The final changes in lipid parameters, gut microbes and their metabolites, and orexin-related neuropeptides in the hypothalamus were investigated among the different groups.

Results: Olanzapine induced lipid disturbances as indicated by increased weight gain, elevated ratio of white adipose tissue to brown adipose tissue, as well as increased triglyceride and total cholesterol. Olanzapine also increased the Firmicutes/Bacteroides (F/B) ratio in the gut, which was even aggravated by subphrenic vagotomy. In addition, olanzapine reduced the abundance of short-chain fatty acids (SCFAs) metabolism related microbiome and 5-hydroxytryptamine (5-HT) levels in the rat cecum, and increased the gene and protein expression of the appetite-related neuropeptide Y/agouti-related peptide (NPY/AgRP) in the hypothalamus.

Conclusion: The abnormal lipid metabolism caused by olanzapine may be closely related to the vagus nerve-mediated gut microbiota-brain axis.

Obesity and glycemic control among people with type 2 diabetes in the United States: A retrospective cohort study using insurance claims data

AIMS

To examine body mass index (BMI) and HbA1c for individuals with type 2 diabetes (T2D) in the United States.

METHODS

The retrospective study utilized data from IBM® MarketScan® Explorys® Claims-EMR Data for the years 2012-2019. Individuals with T2D and a recorded HbA1c laboratory result and BMI were included. The relationship between BMI and HbA1c was assessed descriptively and logistic regressions examined the relationship between benchmark BMI and the probability of having HbA1c above targets of 7% or 8% in the 1year post-period.

RESULTS

In our sample of 44,723 patients, results indicated that compared to individuals of normal weight, those classified as obese class I or obese class II were 24% more likely to have a last HbA1c≥7% (Odds Ratio [OR]=1.24; 95% Confidence Interval [CI] 1.14-1.35 for both obese class I and obese class II), while those classified as obese class III were 16% more likely (OR=1.16; 95% CI 1.06-1.27). Results were similar when using a HbA1c threshold of 8%.

CONCLUSIONS

Given the importance of glycemic control for people with T2D, these results suggest that treatments which reduce rates of obesity may help to improve health outcomes.

Durability of glycaemic control in type 2 diabetes: A systematic review and meta-analysis for its association with body weight changes

AIMS

To analyse quantitatively the association between the durability of glycaemic control and body weight changes during treatment.

MATERIALS AND METHODS

This study adhered to an appropriate methodology according to Meta-analysis of Observational Studies in Epidemiology (MOOSE) guidelines. Studies with follow-ups >12 months, and final and intermediate assessments of haemoglobin A1c (HbA1c) and body weight were included. Four outcomes assessing therapeutic durability were extracted and synthesized using Stata statistical software, including changes in HbA1c, goal-achievement rate, failure rate and coefficient of failure (CoF).

RESULTS

After 8.9 months of treatment, HbA1c levels declined from 8.03% [95% confidence interval (CI), 7.91-8.15; I² = 99.2%] to 7.15% (95% CI, 7.02-7.27; I² = 99.4%) and then gradually increased up to 7.72% (95% CI, 7.50-7.94; I² = 99.0%) 5 years later. The goal-achievement rate decreased from 54.8% (after 1 year of treatment) to 19.4% 5 years later. The CoF was 0.123 ± 0.022%/year (P < .001). After stratification, the CoFs were 0.224 ± 0.025%/year (P < .001) for weight gain, 0.137 ± 0.034%/year (P < .001) for neutral weight and -0.024 ± 0.032%/year (P = .450) for weight loss. After stratification by treatment approaches, the CoFs were 0.45%/year for insulin, 0.43%/year for sulphonylurea, 0.34%/year for thiazolidinediones, 0.29%/year for metformin, 0.16% for glucagon-like polypeptide-1 receptor agonists, 0.12% for surgery, -0.03% for sodium-glucose cotransporter-2 inhibitors and -0.21% for dipeptidyl peptidase-IV inhibitors.

CONCLUSION

Modest weight loss with a goal of 2-3% of body weight should be recommended to improve therapeutic durability and prevent beta-cell deterioration.

Strategies for implementing effective mealtime insulin therapy in type 2 diabetes

BACKGROUND

Type 2 diabetes mellitus (T2D) is a growing global epidemic. Due to the progressive nature of the disease, many people with T2D require insulin at some point, most commonly a long-acting (basal) insulin to assist with 24-h control of glucose levels.

OBJECTIVE

This opinion paper provides an overview of considerations for primary care providers (PCPs) in intensifying the treatment regimen when basal insulin therapy is inadequate.

RESULTS

Control of mealtime hyperglycemia, in addition to fasting hyperglycemia, has been shown to be crucial in reaching A1c goals of <7.0%. However, initiating and optimizing mealtime insulin therapy can be challenging for both people with T2D and PCPs, due to a perceived lack of efficacy and burden of insulin treatment, causing "psychological insulin resistance" in people with T2D and clinical inertia among PCPs. Successful implementation of mealtime insulin therapy requires not only choosing appropriate treatment strategies, but also addressing patient-related behavioral and emotional barriers. Simplified treatment algorithms, combined with the use of advanced technology (devices such as insulin pens, pumps, and patches), and collaborative decision-making can help decrease barriers to effective mealtime insulin therapy.

CONCLUSIONS

It is possible to implement an effective basal-bolus insulin regimen in people with T2D in a way that improves glucose control while minimizing negative effects on quality-of-life, treatment satisfaction, and psychological well-being.

Cultural primer for cardiometabolic health: health disparities, structural factors, community, pathways to improvement, and clinical applications

The quest to optimize cardiometabolic health has created great interest in nonmedical health variables in the population, community-based research and coordination, and addressing social, ethnic, and cultural barriers. All of these may be of equal or even greater importance than classical health care delivery in achieving individual well-being. One dominant issue is health disparity - causes, methods of reduction, and community versus other levels of solutions. This communication summarizes some major views regarding social structures, followed by amplification and synthesis of central ideas in the literature. The role of community involvement, tools, and partnerships is also presented in this Primer. Recent views of how these approaches could be incorporated into cardiometabolic initiatives and strategies follow, with implications for research. Two examples comparing selected aspects of community leverage and interventions in relation to individual approaches to health care equity are examined in depth: overall performance in reducing cardiovascular risk and mortality, and the recent National Diabetes Prevention Program, both touching upon healthy diets and adherence. Finally, the potential that precision medicine offers, and possible effects on disparities are also discussed.