Correlation between insulin-based and C-peptide based homeostatic model assessment of insulin resistance in adults without diabetes in a sub-Saharan African setting: a cross-sectional study

Apigenin analogs as α-glucosidase inhibitors with antidiabetic activity

This study investigated the inhibitory potential of a series of synthesized compounds (L1-L27) on α-glucosidase. Among them, compound L22 showed significant inhibitory effect. Through enzymatic kinetics studies, we demonstrated that L22 acts via a non-competitive inhibition mode with a Ki value of 2.61 μM, highlighting its high affinity for the enzyme. Molecular docking studies revealed the formation of hydrogen bonds between L22 and α-glucosidase and diverse interactions with neighboring amino acid residues. Furthermore, molecular dynamics simulations confirmed the stability of the L22-α-glucosidase complex. In a mouse model of type 2 diabetes, treatment with L22 significantly lowered fasting blood glucose levels, and reduced insulin resistance, suggesting its potential as a therapeutic agent for type 2 diabetes. Furthermore, L22 showed a protective effect against oxidative stress in the liver and alleviated liver and pancreatic abnormalities. These results provide valuable insights into the mechanism of action of L22 and its potential applications to treat type 2 diabetes, and improve liver health.

The risk factors of diabetic ketosis and diabetic ketoacidosis among patients with type 2 diabetes mellitus treated with SGLT2 inhibitors: a retrospective study

BACKGROUND

There is limited evidence on the safety of sodium-glucose co-transporter-2 inhibitor (SGLT2i) use in the real world of China. We conducted this two-center, retrospective study to assess the incidence rate and risk factors of Dapagliflozin-associated DK/DKA among patients with type 2 diabetes mellitus (T2DM) in China.

RESEARCH DESIGN AND METHODS

Patients with T2DM treated with Dapagliflozin in Shanghai General Hospital were included in this retrospective analysis. Univariate and multivariate logistic regression was performed, and odds ratio (OR) and 95% confidence interval (CI) were calculated to identify the influencing factors associated with the occurrence of DK/DKA.

RESULTS

A total of 1985 T2DM patients received Dapagliflozin for the first time were included. The prevalence of DK and DKA was 2.47% and 0.35%, respectively. Multivariate logistic regression identified age <45 years [OR = 2.99, 95% CI (1.45-6.17)], concomitant use of Acarbose [OR = 2.18, 95% CI (1.06-3.38)], Metformin [OR = 1.84, 95% CI (1.01-3.38)], and Insulin [OR = 1.93, 95% CI (1.02-3.66)] as participating factors for DK/DKA. The 1:4 matched subset sensitivity analysis further confirmed the risk factors of Dapagliflozin-associated DK/DKA.

CONCLUSIONS

Age less than 45 years, concomitant use of Acarbose and insulin were risk factors for Dapagliflozin-associated DK/DKA. Clinicians should watch out for high-risk features among patients with SGLT2i prescription.

[Value of C-peptide-based insulin resistance index for evaluating correlation between insulin resistance and serum uric acid level in individuals undergoing health examination]

OBJECTIVE

To investigate the value of C-peptide-based insulin resistance index in evaluating the correlation between insulin resistance and serum uric acid (Ua) level in subjects undergoing health examination.

METHODS

The data of 46 017 subjects undergoing health examination were retrospectively collected from the Second Medical Center of PLA General Hospital from January, 2017 to December, 2021. The subjects were divided into Ua≤420 μmol/L group and Ua>420 μmol/L group for comparison of HOMA insulin resistance index (HOMA2-IR) and HOMA insulin resistance-C peptide (HOMA2 IR-CP). The correlations of HOMA2-IR and HOMA2 IR-CP with Ua level were analyzed using Pearson correlation analysis and linear regression analysis. Hierarchical interaction analysis was conducted to assess the differences in the association between insulin resistance index and Ua level in different subgroups. The ROC curve was used to evaluate the predictive ability of insulin resistance index for an increased Ua level.

RESULTS

The levels of HOMA2-IR and HOMA2 IR-CP were significantly lower in Ua≤420 μmol/L group than in Ua>420 μmol/L group. Univariate Pearson correlation analysis showed a weak correlation of HOMA2-IR with Ua (r=0.262, P<0.001) and moderate correlation of HOMA2 IR-CP with Ua (r=0.409, P<0.001). Multivariate linear regression analysis, after adjustment for confounding factors, demonstrated that HOMA2-IR (R2=0.445, P<0.001) and HOMA2 IR-CP (R2=0.461, P<0.001) were both factors affecting Ua level. Hierarchical interaction analysis showed that the association of insulin resistance index with Ua level varied significantly with gender, age, and glucose metabolism (P<0.001). ROC curve showed that the areas under the curve predicted an increased Ua level by HOMA2-IR and HOMA2 IR-CP were 0.662 and 0.722, respectively.

CONCLUSIONS

HOMA2 IR-CP is a more accurate indicator for assessing the correlation between insulin resistance and Ua level.