Relationship between leptin and body mass and metabolic syndrome in an adult population

Is the leptin/BMI ratio a reliable biomarker for endometriosis?

Background

The aim of this study was to analyze the concentration of leptin in peritoneal fluid and plasma and to assess their role as potential biomarkers in the diagnosis of endometriosis.

Materials & methods

Leptin adjusted for BMI (leptin/BMI ratio) was measured using surface plasmon resonance imaging (SPRI) biosensors. Patients with suspected endometriosis were included in the study. Plasma was collected from 70 cases, and peritoneal fluid from 67 cases. Based on the presence of endometriosis lesions detected during laparoscopy, patients were divided into a study group and a control group (patients without endometriosis).

Results

Leptin/BMI ratio in plasma did not differ between women with endometriosis and the control group (0.7159 ± 0.259 vs 0.6992 ± 0.273, p= 0,7988). No significant differences were observed in peritoneal leptin/BMI ratio levels in patients with and without endometriosis (0.6206 ± 0.258 vs 0.6215 ± 0.264, p= 0,9896). Plasma and peritoneal leptin/BMI ratios were significantly lower in women with endometriosis - related primary infertility compared to women with endometriosis without primary infertility (0.640 ± 0.502 vs 0.878 ± 0.623, p < 0.05). The difference was observed in case of primary infertility, but not in terms of the secondary one. No significant differences were noted between leptin/BMI ratio in the proliferative phase and the secretory phase (0.716 ± 0.252 vs 0.697 ± 0.288, p= 0,7785).

Conclusion

The results of present study do not support the relevance of leptin concentration determination as a biomarker of the endometriosis. Due to the limited number of samples in the tested group, further studies are needed to confirm its role.

HMGB1 mediates microbiome-immune axis dysregulation underlying reduced neutralization capacity in obesity-related post-acute sequelae of SARS-CoV-2

While obesity is a risk factor for post-acute sequelae of SARS-CoV-2 infection (PASC, "long-COVID"), the mechanism(s) underlying this phenomenon remains poorly understood. To address this gap in knowledge, we performed a 6-week longitudinal study to examine immune activity and gut microbiome dysbiosis in post-acute stage patients recovering from SARS-CoV-2 infection. Self-reported symptom frequencies and blood samples were collected weekly, with plasma assessed by ELISA and Luminex for multiple biomarkers and immune cell profiling. DNA from stool samples were collected at the early stage of recovery for baseline assessments of gut microbial composition and diversity using 16S-based metagenomic sequencing. Multiple regression analyses revealed obesity-related PASC linked to a sustained proinflammatory immune profile and reduced adaptive immunity, corresponding with reduced gut microbial diversity. In particular, enhanced signaling of the high mobility group box 1 (HMGB1) protein was found to associate with this dysregulation, with its upregulated levels in plasma associated with significantly impaired viral neutralization that was exacerbated with obesity. These findings implicate HMGB1 as a candidate biomarker of PASC, with potential applications for risk assessment and targeted therapies.

Low 25 Hydroxyvitamin D and High Leptin Level as Risk Factors of Metabolic Syndrome in Obese Women

Obesity is associated with low vitamin D levels and high leptin levels. The aim of this study is to see if low vitamin D levels and high leptin levels are risk factors for metabolic syndrome in obese women.This study use case control study to observe the difference of leptin and vitamin D plasma level as risk factor of metabolic syndrome on obesity women. There are 34 obese women as the sample of study. Subject is divided randomly into 2 groups, where each of groups consists of 17 obese with syndrome metabolic case and 17 obese women as control. Each group was tested for its vitamin D and leptin level. The relationship between vitamin D and leptin levels and metabolic syndrome was then investigated using the Chi Square test, and logistic regression was taken to discover odds ratio (OR). The result is p=0.031 (p<0.05), and OR=5.25; CI 95% which means the group with low vitamin D has risk factors for metabolic syndrome by 5 times than the control group high vitamin D. It was obtained p=0.001 (p<0.05), and OR= 256; CI 95% means that the case group with high leptin is the risk factors of the occurred metabolic syndrome by 256 times than low level of leptin in control group. It is concluded that in this study there is a link between low vitamin D levels and high leptin levels as risk factors of metabolic syndrome found in obesity.

Aerobic Versus Resistance Training: Leptin and Metabolic Parameters Improvement in Type 2 Diabetes Obese Men

Purpose: The purpose of the research was to determine the changes in metabolic parameters, leptin, and irisin levels after aerobic and resistance training in type-2 diabetes obese men. Methods: Forty-five participants in the age range of 17-25 years were randomized into three groups: aerobic training (AT), resistance training (RT), and control (CO). All training sessions were fulfilled 4 days per week for two months. The aerobic training began with intensity of 65% of the maximum aerobic power and finished with 90%. The resistance program started with 50% of one-repetition maximum and reached 70% in the 8th week. Results: Factorial analysis of variance and Bonferroni post-hoc test revealed significant decreases in leptin (p = .043), fasting blood sugar (FBS) (p = .023), insulin (p = .001), homeostasis model assessment for insulin resistance (HOMA-IR) (p = .022) in AT compared with CO and insulin (p = .006) in AT compared with RT. The change of percent body fat (PBF) was positively correlated only with change of HOMA-IR in AT group (p = .032) at p < .05. Conclusion: The result suggests that, compared to resistance training, aerobic training can control metabolic situations such as insulin resistance through the leptin hormone function, and not irisin in type-2 diabetes obese men.

Evaluation of Applicability of Novel Markers of Metabolic Syndrome in Adult Men

There is a continuous worldwide increase in incidences of metabolic syndrome (MetS) reaching about a quarter of the world’s population. Thus, studies that allow for a robust diagnosis of MetS are of paramount importance from an economic and medical point of view. This study was carried out in a group of men diagnosed with MetS using consensus definition criteria that included the definitions of the International Diabetes Foundation and Diabetes Federation and the American Heart Association/National Heart, Lung, and Blood Institute. The control group consisted of men for whom the parameters that define the MetS were in the norm. This study analyzed statistical differences between MetS and healthy men and the correlations between the set of 14 potential markers of MetS, that is, between body mass index, total cholesterol, high-density lipoprotein cholesterol, low-density lipoprotein, triglycerides, cortisol, adiponectin, monocyte chemotactic protein-1 (MCP-1), C-reactive protein (CRP), adipsin, leptin, resistin, and plasminogen activator inhibitor-1 (PAI)-1. This report revealed a significant difference between MetS and healthy men in most of the parameters studied. Furthermore, a strong positive correlation between cortisol levels and body mass index was demonstrated. Furthermore, MCP-1 levels in men with MetS were significantly higher than their levels in healthy men. Finally, a strong positive correlation was also observed between adiponectin and adipsin in Mets men. Thus, this study reveals the potential usefulness of adiponectin, MCP-1, adipsin, leptin, resistin, and PAI-1 as markers of MetS in adult men.

Diagnostic Power of Circulatory Metabolic Biomarkers as Metabolic Syndrome Risk Predictors in Community-Dwelling Older Adults in Northwest of England (A Feasibility Study)

Background: Metabolic Syndrome (MetS) is a cluster of risk factors for diabetes and cardiovascular diseases with pathophysiology strongly linked to aging. A range of circulatory metabolic biomarkers such as inflammatory adipokines have been associated with MetS; however, the diagnostic power of these markers as MetS risk correlates in elderly has yet to be elucidated. This cross-sectional study investigated the diagnostic power of circulatory metabolic biomarkers as MetS risk correlates in older adults. Methods: Hundred community dwelling older adults (mean age: 68.7 years) were recruited in a study, where their blood pressure, body composition and Pulse Wave Velocity (PWV) were measured; and their fasting capillary and venous blood were collected. The components of the MetS; and the serum concentrations of Interleukin-6 (IL-6), Tumor Necrosis Factor-α (TNF-α), Plasminogen Activator Inhibitor-I (PAI-I), Leptin, Adiponectin, Resistin, Cystatin-C, C-Reactive Protein (CRP), insulin and ferritin were measured within the laboratory, and the HOMA1-IR and Atherogenic Index of Plasma (AIP) were calculated. Results: Apart from other markers which were related with some cardiometabolic (CM) risk, after Bonferroni correction insulin had significant association with all components of Mets and AIP. These associations also remained significant in multivariate regression. The multivariate odds ratio (OR with 95% confidence interval (CI)) showed a statistically significant association between IL-6 (OR: 1.32 (1.06–1.64)), TNF-α (OR: 1.37 (1.02–1.84)), Resistin (OR: 1.27 (1.04–1.54)) and CRP (OR: 1.29 (1.09–1.54)) with MetS risk; however, these associations were not found when the model was adjusted for age, dietary intake and adiposity. In unadjusted models, insulin was consistently statistically associated with at least two CM risk factors (OR: 1.33 (1.16–1.53)) and MetS risk (OR: 1.24 (1.12–1.37)) and in adjusted models it was found to be associated with at least two CM risk factors and MetS risk (OR: 1.87 (1.24–2.83) and OR: 1.25 (1.09–1.43)) respectively. Area under curve (AUC) for receiver operating characteristics (ROC) demonstrated a good discriminatory diagnostics power of insulin with AUC: 0.775 (0.683–0.866) and 0.785 by cross validation and bootstrapping samples for at least two CM risk factors and AUC: 0.773 (0.653–0.893) and 0.783 by cross validation and bootstrapping samples for MetS risk. This was superior to all other AUC reported from the ROC analysis of other biomarkers. Area under precision-recall curve for insulin was also superior to all other markers (0.839 and 0.586 for at least two CM risk factors and MetS, respectively). Conclusion: Fasting serum insulin concentration was statistically linked with MetS and its risk, and this link is stronger than all other biomarkers. Our ROC analysis confirmed the discriminatory diagnostic power of insulin as CM and MetS risk correlate in older adults.

The effect of obesity and components of metabolic syndrome on leptin levels in Saudi women

BACKGROUND

Leptin levels are reported to be increased with excessive body fat and is a potential determinant of obesity and its complications. Our Objective is to evaluate the relationship between leptin levels and BMI, waist circumference and metabolic syndrome components in normal and obese females classified according to their BMI.

SUBJECTS AND METHODS

A total of 136 female subjects aged between 20 and 60 years were recruited for the current study. Anthropometric measures included body mass index and waist circumference. The blood samples were used for estimation of plasma fasting blood glucose and serum was used for estimation of triglycerides, total cholesterol, low and high density lipoproteins, and total leptin.

RESULTS

Correlation between glucose and lipids profile with waist circumference among the whole study group (obese and non-obese) is reflecting that a strong positive correlation between BMI and blood glucose, serum TGs, cholesterol and LDL, a negative correlation was reported between BMI and serum HDL. Mean of leptin concentrations in two groups were found to be 5.77 ng/ml (±1.00) in non-obese and 28.89 ng/ml (±4.91) in the obese with metabolic syndrome. Leptin had a positive correlations with triglycerides (r = 0.84, p < 0.001), total cholesterol (r = 0.77, p < 0.001), LDL (r = 0.83, p < 0.001), waist circumference (r = 0.86, p < 0.001) and BMI (r = 0.72, p < 0.001) in the test group. a negative correlation was reported between BMI and serum HDL (r = -0.48, p < 0.001).

CONCLUSION

Leptin levels were high in Saudi women with high BMI and waist circumference. There was a significant correlation between leptin levels and Obesity.

Adiponectin, Leptin, and Leptin Receptor in Obese Patients with Type 2 Diabetes Treated with Insulin Detemir

The aim of the present study is to quantitatively assess the expression of selected regulatory molecules, such as leptin, leptin receptor, and adiponectin in the blood of obese patients with type 2 diabetes both before treatment and after six months of pharmacological therapy with the long-lasting insulin analogue, insulin detemir. A significant decrease in the analysed regulatory molecules, i.e., leptin receptor and adiponectin, was found in blood plasma of the patients with untreated type 2 diabetes. These changes were accompanied by an increase in plasma leptin concentrations. Insulin treatment resulted in the normalization of plasma leptin receptor and adiponectin concentrations. The circulating leptin level did not change following anti-diabetic therapy with insulin detemir. Gender was a significant factor modifying the circulating level of all the analysed regulatory active compounds. Bioinformatic analysis was performed using Matlab with the Signal Processing Toolbox. The conducted discriminant analysis revealed that the leptin receptor, Δw(19), and adiponectin, Δw(21), were the parameters undergoing the most significant quantitative changes during the six-month therapy with insulin detemir. The conducted examinations indicated the contribution of adipocytokines—the biologically-active mediators of systemic metabolism, such as leptin and adiponectin in the pathomechanism of disorders being the basis for obesity which leads to development of insulin resistance, which, in turn, results in the occurrence of type 2 diabetes.

Plasma levels of leptin and ghrelin and their correlation with BMI, and circulating lipids and glucose in obese Tunisian women

Background

A National Survey on the Effect of Nutrition conducted in 1996−1997 showed a 14% overall prevalence of obesity in Tunisia with a female predominance. Leptin and ghrelin play crucial roles in regulating body weight and energy balance. Leptin, an anorectic hormone, and ghrelin, an orexigenic hormone, appear to interact with glucose and lipid metabolism.

Objectives

To determine the circulating levels of ghrelin and leptin in obese Tunisian women and to investigate the correlations of these hormones with body mass index (BMI), and circulating lipids and glucose.

Methods

Forty obese women were recruited from patients in the “C” Unit of the National Institute of Nutrition and Food Technology. Twenty normal women were recruited as controls. Plasma levels of the studied variables were measured in patients from both groups and findings were analyzed.

Results

Circulating levels of leptin were significantly higher, while high-density lipoprotein (HDL)-cholesterol and ghrelin levels were significantly lower in the obese women. In the obese women, significant positive correlations were found between circulating levels of leptin and low-density lipoprotein (LDL)-cholesterol, BMI, and glucose; and ghrelin and HDL-cholesterol. Significant negative correlations were found between circulating levels of leptin and HDL-cholesterol and ghrelin; and ghrelin and leptin, LDL-cholesterol, BMI, and glucose. Multivariate analysis revealed that ghrelin was significantly associated with HDL-cholesterol, LDL-cholesterol, and blood glucose.

Conclusions

The significant negative correlation between leptin and ghrelin suggests that these two hormones may be antagonistic. Increased levels of ghrelin are correlated with decreased circulating levels of HDL-cholesterol and increased levels of LDL-cholesterol.