Relationship between serum leptin concentration and insulin resistance syndrome in patients with type 2 diabetes mellitus

Shebl, Tamer H; N, Azeem; Younis, Hosny A; Soliman, A. A.; Ashmawy, Ahmed M; Ali, Mohamed Moanes

doi:10.4103/jcmrp.jcmrp_33_16

Cited by 6 publications

(9 citation statements)

References 3 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…30 LEPT is a body fat biomarker that can play a major role as a predictor of IR syndrome; a study conducted on 80 individuals showed a positive relationship between LEPT and IR syndrome. 31 …”

Section: Discussionmentioning

confidence: 99%

Estimate of the HOMA-IR Cut-off Value Identifying Subjects at Risk of Insulin Resistance Using a Machine Learning Approach

Abdessalem

Zidoum

Zadjali

et al. 2021

Sultan Qaboos Univ Med J

View full text Add to dashboard Cite

Objective: This paper describes an unsupervised Machine Learning approach to estimate the HOMA-IR cut-off identifying subjects at risk of insulin resistance in a given ethnic group, based on the clinical data of a representative sample. Methods: We apply the approach to clinical data of individuals of Arab ancestors obtained from a family study conducted in the city of Nizwa between January 2000 and December 2004. First, we identify HOMA-IR-correlated variables to which we apply our own clustering algorithm. Two clusters having the smallest overlap in their HOMA-IR values are returned. These clusters represent samples of two populations: insulin sensitive subjects and individuals at risk of insulin resistance. The cut-off value is estimated from intersections of the Gaussian functions modelling the HOMA-IR distributions of these populations. Results: We identified a HOMA-IR cut-off value of 1.62+/-0.06. We demonstrated the validity of this cut-off by 1) Showing that clinical characteristics of the identified groups match well published research findings about insulin resistance. 2) Showing a strong relationship between the segmentations resulting from the proposed cut-off and that resulting from the 2-hours glucose cut-off recommended by WHO for detecting prediabetes. Finally, we showed that the method is also able to identify cut-off values for similar problems (e.g. fasting sugar cut-off for prediabetes). Conclusion: The proposed method defines a HOMA-IR cut-off value for detecting individuals at risk of insulin resistance. Such method can identify high risk individuals at early stage which may prevent or at least delay the onset of chronic diseases like type 2 diabetes. Keywords: Machine Learning; Feature Selection; K-mean++ Clustering; Insulin Resistance; HOMA-IR; T2DM.

show abstract

Section: Discussionmentioning

confidence: 99%

Estimate of the HOMA-IR Cut-off Value Identifying Subjects at Risk of Insulin Resistance Using a Machine Learning Approach

Abdessalem

Zidoum

Zadjali

et al. 2021

Sultan Qaboos Univ Med J

View full text Add to dashboard Cite

show abstract

“…[ 18 ] HbA1c levels were also observed to be statistically higher and significant when compared with patients without metabolic syndrome and healthy control. Previously Tamer et al [ 18 ] also found statistically significant when HbA1c was compared with patients without metabolic syndrome and healthy control. Patients with metabolic syndrome may have worsen anthropometric and biochemical parameters.…”

Section: Discussionmentioning

confidence: 99%

“…Serum leptin concentrations were measured using a sandwich ELISA kit (Thermo Fisher Scientific Inc., Waltham, MA) and serum insulin concentrations were measured by an insulin kit (Thermo Fisher Scientific Inc., Waltham, MA) according to the previously described method. [ 18 ]…”

Section: Methodsmentioning

confidence: 99%

See 1 more Smart Citation

Association of serum leptin and insulin levels among type 2 diabetes mellitus patients: A case–control study

Zhao

2022

Medicine

View full text Add to dashboard Cite

Secretion of insulin is compromised in type 2 diabetes (T2DM) individuals and inadequate to accommodate for insulin resistance (IR) in peripheral tissue. Hyperleptinemia reflects leptin resistance, which is a key factor in the production of IR in T2DM patients, making leptin a potential biomarker for evaluating IR levels. The objective of the study was to assess the association of serum leptin and insulin levels among T2DM patients. This case-control research was carried out on T2DM patients. A total of 73 patients diagnosed with T2DM (the case group) and 40 healthy participants (control; group 3) were enrolled according to the American Diabetes Association (ADA) criteria. In the case group, T2DM patients were enrolled with metabolic syndrome (group 1, n = 38) or without metabolic syndrome (group 2, n = 35) according to the WHO criteria. Metabolic profiles of T2DM patients with or without metabolic syndrome were evaluated, and compare these two groups with healthy controls. The subjects of all groups were age- and gender-matched. Body mass index (BMI, P < .01), fasting ( P = .0133) and postprandial ( P < .01) blood sugar levels, % glycated hemoglobin (HbA1c, P < .01), and lipid profile ( P < .01) were found significantly different and higher in group 1 as compared to groups 2 and 3. Serum leptin and insulin levels were found higher and significant in patients with metabolic syndrome ( P < .01 for both). The values of serum leptin levels were 10.01 ± 2.7 ng/mL, 6.9 ± 2.4 ng/mL, and 4.11 ± 1.8 ng/mL, and those of serum insulin 120 ± 40.7 µIU/mL, 20.43 ± 5.2 µIU/mL, and 11.4 ± 2.5 µIU/mL in groups 1, 2, and 3, respectively. There was a positive linear correlation between BMI, blood sugar, HbA1c, serum cholesterol (TC), and triglycerides (TG) with serum insulin and leptin levels in the case group. An extremely significant correlation ( R = 0.74, P < .001) was found in BMI and serum leptin level in the case group. Serum leptin and insulin levels have a positive association, with serum leptin being a significant predictor of IR syndrome (Evidence Level: 5; Technical Efficacy: Stage 3).

show abstract

“…Feeding of TFAs resulted in the elevation of serum leptin and insulin levels [14].Also, the feeding of TFAs/high-fat diets induced obesity of rats, and alteration in the blood and brain physiological parameters, as well as High Fat Diet (HFD) may cause leptin resistance [15]. The positive association between the leptin level and the serum insulin is that the leptin level raises with an increase in the serum insulin which may be a good indicator of the insulin resistance syndrome, where there is a hyperinsulinemic state, it predicts that there is an increase in the leptin levels [16].The progression of undesirable insulin resistance and obesity resulted in the development of type 2 Diabetes Mellitus (T2DM) [17].…”

Section: Introductionmentioning

confidence: 99%

Effects of trans-Fatty Acid on Lipoproteins-a, Oxidative Status and Expression of Leptin and Leptin Receptor Genes in Albino Rats

yasmin

El-Dawy

Abdel-Fattah

et al. 2021

Zagazig Veterinary Journal

View full text Add to dashboard Cite

High consumption of trans-fatty acids (TFAs) linked with obesity, disorders of lipoproteins, type 2 Diabetes Mellitus (T2DM), risk factors of coronary heart disease, and development of atherosclerosis. The intent of our trials was to assess the possible bad impact of TFAs on the lipid status and focusing on characterizing the physiological alters in an animal model comparing with cis fatty acids. Sixty male albino rats, with nearly similar average weight 170±5wereassignedinto 4 main groups (15 rats per group) and kept on a standard diet set for 12 weeks. All groups received different diet treatment for successive 12 weeks. Group A: control group received a conventional diet, group B received a diet contained 360 gm TFAs inform of partially hydrogenated vegetable oil (PHVO) l kg of diet, group C was fed a High Fat Diet (HFD) contained 360 gm beef tallow l kg of diet for, and group D received a diet containing 360 gm linseed oil l kg of diet. Both feeding of TFAs and HFD resulted in a marked increase in the body weight in reach to the obesity grade with a significant increase (P≤0.05) in leptin and leptin receptor gene expression. Also, a significant increase in Malondialdehyde (MDA) and Lipoprotein-a (Lp-a) and a marked decrease in total antioxidant capacity (TAC). It could be concluded that TFAs induce combined increased body weight, with imbalance in oxidative stress, dyslipidemia, and elevated atherogenic Lipoprotein-a may be leading to development of atherosclerosis and coronary heart disease.

show abstract

Relationship between serum leptin concentration and insulin resistance syndrome in patients with type 2 diabetes mellitus

Cited by 6 publications

References 3 publications

Estimate of the HOMA-IR Cut-off Value Identifying Subjects at Risk of Insulin Resistance Using a Machine Learning Approach

Estimate of the HOMA-IR Cut-off Value Identifying Subjects at Risk of Insulin Resistance Using a Machine Learning Approach

Association of serum leptin and insulin levels among type 2 diabetes mellitus patients: A case–control study

Effects of trans-Fatty Acid on Lipoproteins-a, Oxidative Status and Expression of Leptin and Leptin Receptor Genes in Albino Rats

Contact Info

Product

Resources

About