Search results

Meteorin like-peptide (Metrnl) modulates energy hemostasis and relieves inflammation and oxidative stress. This study aims to investigate the relationship between Metrnl levels and inflammatory cytokines, oxidative stress biomarkers and body composition parameters in obese type 2 diabetic patients.

This analytical cross-sectional study was carried out between August 2020 and March 2021on 93 people (n = 32 obese type 2 diabetic patients, n = 31 healthy obese, n = 30 healthy normal weight). Serum Metrnl levels were measured by enzyme-linked immunosorbent assay. Serum levels of interleukin-6 (IL-6), tumor necrosis factor-alpha (TNF-α), high-sensitivity C-reactive protein (hs-CRP), malondialdehyde and total antioxidant capacity were measured using standard methods. Body composition was assessed by bioelectrical impedance analysis. p-Value less than 0.05 was considered significant.

Serum Metrnl levels were lower in obese diabetic patients than in healthy normal-weight subjects (82.5 [72.4–94.5] ng/mL compared to 154 [129–189] ng/mL). The difference in Metrnl levels between the two groups was significant (p < 0.001). The difference in Metrnl levels between the two groups was significant. Moreover, a significant correlation between Metrnl level and both TNF-a and hs-CRP was detected (p = 0.006 and p < 0.001, respectively) and the correlation between Metrnl and IL-6 was borderline (p = 0.051). A negative correlation was revealed between Metrnl level and anthropometric measurements and body composition (p < 0.05) with the exception of fat-free mass and skeletal muscle mass.

To discover sufficient evidence for the therapeutic function of Metrnl and its use as a prognostic biomarker in the management of type 2 diabetes mellitus, future clinical studies are needed to highlight other factors influencing Metrnl serum levels.

Obesity can cause impairment in adipose tissue-derived hormones levels, which, in turn, might lead to metabolic syndrome occurrence. This study aims to assess the relationship between the levels of adiponectin, resistin, retinol-binding protein 4 (RBP4) and insulin with metabolic syndrome (MetS) indices. Also, optimal cutoff points of the adipokines and insulin for MetS prediction were determined.

In this study, 180 women (90 women with MetS and 90 women without MetS) were studied. The National Cholesterol Education Program Adult Treatment Panel III criteria were used for MetS diagnosis. Anthropometric and biochemical indices were measured. Data were analyzed using SPSS software version 21.

Serum adiponectin correlated negatively with age, BMI, waist circumference (WC), triglyceride (TG), total cholesterol, SBP, DBP, FBS and positively correlated with high-density lipoprotein-cholesterol. Both resistin and RBP4 levels correlated positively with BMI, WC, TG, SBP, DBP and FBS. Also, serum insulin correlated positively with BMI, WC, SBP and DBP. All the studied adipokines and insulin showed significant areas under the receiver operating characteristics curve. The largest area under the curve was observed for adiponectin (0.93, 95 per cent CI = 0.89-0.97, p < 0.001) with the optimal cut-off point of 11.94 µg/L. Also, the upper level of adiponectin was associated with 70 per cent lower prevalence odds of metabolic syndrome after adjusting for confounders.

The authors determined the optimal cutoff points of the adipokines and insulin for MetS prediction and calculated the diagnostic odds ratio for various cutoff values. Adiponectin could be used as a biomarker in MetS regarding its largest AUC.

This paper aims to investigate the potential relationship between depression, diabetes knowledge and self-care management with quality of life in diabetic patients.

This analytical cross-sectional study was conducted on 309 diabetic patients in Tabriz, Iran in 2015-2017. Quality of life was assessed by a validated questionnaire. The Persian version of the Beck Aeron questionnaire was used to assess the depression status. Knowledge and self-care management was evaluated by the health belief model questionnaire. Simple and multiple regression models were used to determine the relationship between the mentioned factors and the quality of life in diabetic patients.

Thirty-six per cent of the patients suffered from depression. The mean score of the total quality of life was 33.75 ± 8.72. The scores of the three domains of the quality of life were less than the normal range (“complication of diabetes” domain: 9.93 ± 3.16, “diagnosis, therapy and follow-up” domain: 10.91 ± 3.31, “psycho-social effect of diabetes” domain: 12.93 ± 4.41). The score of “complication of diabetes” score in males was significantly higher than females (p = 0.001). There was a significant relationship between depression (p < 0.001), self-care management (p = 0.019) and two parameters of knowledge (diet: p = 0.006 and diabetes: p = 0.004) with quality of life of diabetic patients.

The obtained results presented an unfavorable status of knowledge, physical and mental health in diabetic patients and a strong relationship between health-related factors with quality of life. Therefore, it is suggested to hold community-based health-promoting programs to enhance the overall life satisfaction in people with diabetes.