Inflammatory Biomarkers of Cardiometabolic Risk in Obese Egyptian Type 2 Diabetics

The roles of lipids and inflammation in the association between the triglyceride-glucose index and arterial stiffness: evidence from two large population-based surveys

BACKGROUND

The triglyceride-glucose (TyG) index is a risk marker for arterial stiffness; however, the extent to which the TyG index is associated with arterial stiffness via lipids and inflammation remains unknown. The first aim was to probe the relationship between the TyG index and arterial stiffness in two surveys. The second aim was to clarify whether lipids and inflammation mediate this relationship.

METHODS

The sample size of 13,726 U.S. individuals from the National Examination Survey (NHANES) and 3,964 Chinese individuals from the China Health and Retirement Longitudinal Study (CHARLS 2015) were enrolled. Weighted multivariate logistic and linear regression models, as well as restricted cubic spline (RCS) and mediation analyses, were utilized to estimate complex relationships between the TyG index, arterial stiffness, lipids (non-high-density lipoprotein cholesterol [non-HDL-C]) and inflammation (C-reactive protein [CRP]) biomarkers.

RESULTS

A total of 3,420 U.S. patients and 992 Chinese patients were diagnosed with increased arterial stiffness. Regression analyses demonstrated that higher quartiles of the TyG index were associated with a greater incidence of increased arterial stiffness (NHANES: OR = 2.610, 95% CI = 2.043-3.334, P < 0.001; CHARLS: OR = 1.579, 95% CI = 1.057-2.360, P < 0.001). Participants with a higher TyG index/higher CRP level or with a higher TyG index/higher non-HDL-C level had the highest incidence of increased arterial stiffness in the two surveys. The results were still consistent when the sensitivity analysis was implemented with stricter clinical cut-off values of non-HDL-C. Mediation analysis verified that lipids (mediated effect: β = 0.012, P < 0.001 in NHANES; β = 0.020, P < 0.001 in CHARLS) and inflammation (mediated effect: β = 0.003, P < 0.001 in NHANES; β = 0.006, P < 0.001 in CHARLS) partially mediated this relationship.

CONCLUSIONS

These results indicated a positive linear correlation between the TyG index, non-HDL-C level, CRP level and increased arterial stiffness in two surveys. Furthermore, lipids and inflammation could partly mediate the correlation of the TyG index with arterial stiffness in both surveys.

Interrelations Between Inflammatory and Oxidative Stress Biomarkers in Obese Women with Two Complications (Hypertension, Diabetes)

Background and aims: Interaction between oxidative stress and inflammation has not been comprehensively investigated in the association obesity – diabetes - hypertension. Our aim was to investigate interrelations between inflammatory and oxidative stress biomarkers in obese women with two complications (hypertension, type 2 diabetes).

Material and Methods: 54 obese patients without complications, 46 diabetic patients with obesity, 48 hypertensive diabetic obese women, and 120 healthy controls were recruited from the department of nuclear medicine (Algeria). Inflammatory and oxidative stress biomarkers were assayed by appropriate methods.

Results: Inflammatory markers were significantly higher in all obese groups compared to controls. Elevated pro-oxidants and decreased antioxidant markers were noted in obese women. These alterations were accentuated when obesity was associated with hypertension and diabetes. A positive interrelationship between inflammatory mediators and oxidative status, and a negative one with antioxidants were noted during obesity. Hypertension and diabetes enhanced these correlations. Leptin, C-reactive protein, catalase, superoxide dismutase, ion superoxide, peroxynitrite were found to be the best inflammatory and oxidative stress biomarkers that can predict diabetes and hypertension in obese women.

Conclusions: oxidative stress and inflammation were intimately interconnected in women obesity associated with diabetes and hypertension.

Association between Glycated Hemoglobin with the Levels of Serum Proinflammatory Cytokines and Antioxidants in Patients with Type 2 Diabetes Mellitus in Universitas Sumatera Utara Hospital

BACKGROUND:

Hyperglycemia condition in diabetes mellitus (DM) influences proinflammatory cytokine levels and disrupts antioxidant balances. Glycated Hemoglobin is used as a biomarker of glycemic control in DM.

AIM:

This study aimed to analyse the association between glycated Hemoglobin with the levels of serum proinflammatory cytokines (interleukin (IL)-6) and antioxidants (glutathione peroxidase (GPx) and glutathione (GSH)) in type 2 diabetes mellitus (T2DM) patients in Universitas Sumatera Utara (USU) Hospital.

METHODS:

A total of eighty-nine T2DM patients were recruited at USU Hospital. Glycated Hemoglobin levels were measured using routine laboratory tests at USU Hospital. The IL-6, GPx, and GSH levels were measured using enzyme-linked immunosorbent (ELISA) method. The statistical significance was determined using the Kruskal Wallis test, followed by Mann-Whitney test (p < 0.05).

RESULTS:

The mean of glycated hemoglobin (%), IL-6 (pg/ml), GPx (ng/ml), and GSH (ng/ml) levels in T2DM patients were 8.96 ± 2.28, 59.27 ± 16.04, 32.13 ± 12.10, and 7.42 ± 3.50, respectively. Regarding the glycated Hemoglobin levels, 28.09% of patients had controlled diabetes, 24.72% of patients had poorly controlled diabetes, and 47.19% of patients had uncontrolled diabetes. The IL-6 levels of the three study groups based on glycated Hemoglobin levels were related significantly (p < 0.05), but there was no statistically significant difference observed between the GPx and GSH levels (p > 0.05).

CONCLUSION:

The present study suggests that the glycated Hemoglobin was associated with the levels of serum IL-6 levels but not GPx and GSH levels in T2DM patients in USU Hospital.