Predictors of Subclinical Inflammatory Obesity: Plasma Levels of Leptin, Very Low-Density Lipoprotein Cholesterol and CD14 Expression of CD16+ Monocytes

A systematic review on the applicability of cell-free DNA level as an obesity biomarker

Obesity has become a global health concern in recent decades. Utilizing biomarkers presents a promising approach to comprehensively monitor the progress of obesity and its associated health conditions. This review aims to synthesize the available evidence on the correlation between cfDNA level and obesity and to provide insights into the applicability of using cfDNA level as a tool for monitoring progression of obesity. Searches were performed in PubMed and Embase on April 1, 2022. Data and other relevant information were extracted and compiled into a structured table for further analysis. Among 1170 articles screened, 11 articles were included in this review and assessed qualitatively. The results demonstrated that existing evidence mainly focused on three populations, including healthy individuals, cancer patients and pregnant women. Majority of the studies on healthy individuals identified a significant association between cfDNA level and body weight status but not among cancer patients. Varying results were observed among pregnant women at different gestational trimesters. Our review summarized some preliminary evidence on the association between cfDNA level and obesity. More cohort studies in larger scale with comprehensive assessment have to be conducted to examine the applicability of cfDNA as a biomarker for severity and disease progression of obesity.

The role of 27-hydroxycholesterol in meta-inflammation

27-Hydroxycholesterol (27OHChol), a prominent cholesterol metabolite present in the bloodstream and peripheral tissues, is a kind of immune oxysterol that elicits immune response. Recent research indicates the involvement of 27OHChol in metabolic inflammation (meta-inflammation) characterized by chronic responses associated with metabolic irregularities. 27OHChol activates monocytic cells such that they secrete pro-inflammatory cytokines and chemokines, and increase the expression of cell surface molecules such as pattern-recognition receptors that play key roles in immune cell-cell communication and sensing metabolism-associated danger signals. Levels of 27OHChol increase when cholesterol metabolism is disrupted, and the resulting inflammatory responses can contribute to the development and complications of metabolic syndrome, including obesity, insulin resistance, and cardiovascular diseases. Since 27OHChol can induce chronic immune response by activating monocyte-macrophage lineage cells that play a crucial role in meta-inflammation, it is essential to understand the 27OHChol-induced inflammatory responses to unravel the roles and mechanisms of action of this cholesterol metabolite in chronic metabolic disorders.

Adipocyte- and Monocyte-Mediated Vicious Circle of Inflammation and Obesity (Review of Cellular and Molecular Mechanisms)

Monocytes play a key role in the development of metabolic syndrome, and especially obesity. Given the complex features of their development from progenitor cells, whose regulation is mediated by their interactions with bone marrow adipocytes, the importance of a detailed study of the heterogeneous composition of monocytes at the molecular and systemic levels becomes clear. Research argues for monocytes as indicators of changes in the body's metabolism and the possibility of developing therapeutic strategies to combat obesity and components of metabolic syndrome based on manipulations of the monocyte compound of the immune response. An in-depth study of the heterogeneity of bone-marrow-derived monocytes and adipocytes could provide answers to many questions about the pathogenesis of obesity and reveal their therapeutic potential.

Bioinformatics and Next-Generation Data Analysis for Identification of Genes and Molecular Pathways Involved in Subjects with Diabetes and Obesity

Background and Objectives: A subject with diabetes and obesity is a class of the metabolic disorder. The current investigation aimed to elucidate the potential biomarker and prognostic targets in subjects with diabetes and obesity. Materials and Methods: The next-generation sequencing (NGS) data of GSE132831 was downloaded from Gene Expression Omnibus (GEO) database. Functional enrichment analysis of DEGs was conducted with ToppGene. The protein-protein interactions network, module analysis, target gene-miRNA regulatory network and target gene-TF regulatory network were constructed and analyzed. Furthermore, hub genes were validated by receiver operating characteristic (ROC) analysis. A total of 872 DEGs, including 439 up-regulated genes and 433 down-regulated genes were observed. Results: Second, functional enrichment analysis showed that these DEGs are mainly involved in the axon guidance, neutrophil degranulation, plasma membrane bounded cell projection organization and cell activation. The top ten hub genes (MYH9, FLNA, DCTN1, CLTC, ERBB2, TCF4, VIM, LRRK2, IFI16 and CAV1) could be utilized as potential diagnostic indicators for subjects with diabetes and obesity. The hub genes were validated in subjects with diabetes and obesity. Conclusion: This investigation found effective and reliable molecular biomarkers for diagnosis and prognosis by integrated bioinformatics analysis, suggesting new and key therapeutic targets for subjects with diabetes and obesity.

Angiopoietin-like proteins in atherosclerosis

Atherosclerosis, as a chronic inflammatory disease within the arterial wall, is a leading cause of morbidity and mortality worldwide due to its role in myocardial infarction, stroke and peripheral artery disease. Additional evidence is emerging that the angiopoietin-like (ANGPTL) family of proteins participate in the pathology of this disease process via endothelial dysfunction, inflammation, dyslipidemia, calcification, foam cell formation and platelet activation. This review summarizes current knowledge on the ANGPTL family of proteins in atherosclerosis related pathological processes. Moreover, the potential value of ANGPTL family proteins as predictive biomarkers in atherosclerosis is discussed. Given the attractive role of ANGPTL3, ANGPTL4, ANGPTL8 in atherosclerotic dyslipidemia via regulation of lipoprotein lipase (LPL), antisense oligonucleotide or/and monoclonal antibody-based inactivation of these proteins represent potential atherosclerotic therapies.

Obesity markers in patients with drug allergy and body fat as a predictor

BACKGROUND

Obesity is a chronic low-grade inflammation state associated with several diseases.

OBJECTIVE

To investigate a potential link between drug allergy and obesity, exploring whether the association depends on the type (immediate vs nonimmediate) or the severity of the reaction.

METHODS

Anthropometric measurements, bioimpedance, and biochemical analysis, including serum adipokines, were performed in 90 consecutive adult patients studied for suspected drug allergy. Logistic regression models were developed to identify predictors of drug allergy.

RESULTS

A total of 84 patients completed the diagnostic workup (78.6% women; mean age 39.58 ± 13.3 years). Drug allergy was confirmed in 39 patients and excluded in 45 (controls). Regarding body mass index, 42.2% had normal weight and 55.3% were overweight/obese. A total of 58% of women and 41% of men fulfilled the criteria for central obesity. Patients with drug allergy exhibited considerably higher body mass index, waist and hip circumferences, waist-hip ratio, fat mass, body fat percentage (BFP), trunk fat mass, leptin levels, and leptin-adiponectin ratio than controls. Similar results were obtained in the subgroup with immediate reactions, compared with the nonimmediate or unknown reactions. The higher the BFP and the number of reactions, the greater the odds of drug allergy (odds ratio [OR], 1.07; 95% confidence interval [CI], 1.01-1.14 and OR, 2.82; 95% CI, 1.31-6.10, respectively). An immediate reaction was also a predictor of drug allergy (OR, 3.81; 95% CI, 1.30-11.14, P = .02), compared with nonimmediate or unknown reactions. In patients with drug allergy, BFP was a predictor of having an immediate reaction (OR, 1.12; 95% CI, 1.02-1.24, P = .02).

CONCLUSION

Our study illustrates, for the first time, evidence of a link between obesity and drug allergy, particularly immediate reactions. The BFP emerged as a potential predictor of drug allergy.

Cell-Free DNA as an Obesity Biomarker

Obesity is a disease that affects about 13 % of the world population (2016) (Who 2018). This condition generates a process of systemic inflammation that may contribute to the release of cell-free DNA (cfDNA) into the bloodstream. cfDNA has been considered a potential biomarker to monitor several physiological and pathological conditions, such as tumors, exercise intensity and obesity. Therefore, the objective of this study was to evaluate the association of cfDNA levels with the amount of weight and fat mass lost six months after bariatric surgery. Thirty-eight subjects classified as obese (BMI, 43.5±6.2; BFP, 46.6±4.8) were evaluated anthropometrically and underwent bariatric surgery. Weight, BMI, body fat percentage (BFP), waist circumference, C-Reactive Protein (CRP) and cfDNA levels were evaluated before and six months after surgery; furthermore, a correlation was performed between cfDNA levels and BFP and CRP. Decrease in total body weight and CRP were observed after bariatric surgery; however, the cfDNA levels remained unchanged. There was a weak correlation between cfDNA levels and BFP before the bariatric surgery, and a moderate correlation between cfDNA and CRP. Obese subjects who underwent bariatric surgery, the decrease in body fat percentage did not result in changes in cfDNA levels six months after surgery.