Identification of biomarkers related to metabolically unhealthy obesity in Korean obese adolescents: A cross-sectional study

BackgroundObesity is classified as metabolically unhealthy obesity (MUO) and metabolically healthy obesity (MHO). The current study aimed to screen for relationships and different potential metabolic biomarkers involved between MHO and MUO in adolescents.MethodsThe study included 148 obese adolescents aged between 14 and 16. The study participants were divided into MUO and MHO groups based on the age-specific adolescent metabolic syndrome (MetS) criteria of the International Diabetes Federation. The current study was conducted to investigate the clinical and metabolic differences (AbsoluteIDQ™ p180 kit) between adolescents in the MHO group and those in the MUO group. Multivariate analyses were conducted to investigate the metabolites as independent predictors for the odds ratio and the presence of the MetS in adolescents.ResultsThere were significant differences in the 3 acylcarnitines, 5 amino acids, glutamine/glutamate ratio, 3 biogenic amines, and 2 glycerophospholipids between the obese adolescents in the MUO group and those in the MHO group. Moreover, several metabolites were associated with the prevalence of MUO in adolescents. Additionally, several metabolites were inversely correlated with MHO in adolescents of the MUO group.ConclusionsWe observed that histidine, lysine, PCaaC34:1, and several clinical factors in adolescents of the MUO group were reverse correlated with the results in adolescents of the MHO group. In addition, the triglyceride-glucose index was related to MUO in adolescents, compared with the homeostasis model assessment of insulin resistance. Thus, the biomarkers found in this study have a potential to reflect the clinical outcomes of MUO in adolescents. These biomarkers will lead to a better understanding of MetS in obese adolescents.

Predictive Value of Triglyceride-Glucose Index for In-hospital Mortality in Patients With Severe Fever With Thrombocytopenia Syndrome: A Multi-Center Observational Study

Background: Triglyceride-glucose (TyG) index has been proposed as a reliable indicator for insulin resistance and proved to be closely associated with the severity and mortality risk of infectious diseases. It remains indistinct whether TyG index performs an important role in predicting in-hospital mortality in patients with severe fever with thrombocytopenia syndrome (SFTS).Methods: The current study retrospectively recruited patients who were admitted for SFTS from January to December 2019 at five medical centers. TyG index was calculated in accordance with the description of previous study: Ln [fasting triglyceride (TG) (mg/dl) × fasting blood glucose (FBG) (mg/dl)/2]. The observational endpoint of the present study was defined as the in-hospital death.Results: In total, 79 patients (64.9 ± 10.5 years, 39.2% female) who met the enrollment criteria were enrolled in the current study. During the hospitalization period, 17 (21.5%) patients died in the hospital. TyG index remained a significant and independent predictor for in-hospital death despite being fully adjusted for confounders, either being taken as a nominal [hazard ratio (HR) 5.923, 95% CI 1.208–29.036, P = 0.028] or continuous (HR 7.309, 95% CI 1.854–28.818, P = 0.004) variate. TyG index exhibited a moderate-to-high strength in predicting in-hospital death, with an area under the receiver operating characteristic curve (AUC) of 0.821 (95% CI 0.712–0.929, P < 0.001). The addition of TyG index displayed significant enhancement on the predictive value for in-hospital death beyond a baseline model, manifested as increased AUC (baseline model: 0.788, 95% CI 0.676–0.901 vs. + TyG index 0.866, 95% CI 0.783–0.950, P for comparison = 0.041), increased Harrell's C-index (baseline model: 0.762, 95% CI 0.645–0.880 vs. + TyG index 0.813, 95% CI 0.724–0.903, P for comparison = 0.035), significant continuous net reclassification improvement (NRI) (0.310, 95% CI 0.092–0.714, P = 0.013), and significant integrated discrimination improvement (0.111, 95% CI 0.008–0.254, P = 0.040).Conclusion: Triglyceride-glucose index, a novel indicator simply calculated from fasting TG and FBG, is strongly and independently associated with the risk of in-hospital death in patients with SFTS.

Association of Triglyceride–Glucose Index and the Presence of Sarcopenia in Type 2 Diabetes Patients

Objective: Triglyceride–glucose index (TyG index) has been used in healthy individuals as a marker of insulin resistance. Type 2 diabetes mellitus (T2DM) showed an increased risk of developing sarcopenia compared to control subjects. This study is performed to determine the association of TyG index with the presence of sarcopenia in T2DM patients. Method: This study included 1098 T2DM patients who were recruited from the inpatients in Qilu Hospital (Qingdao). Skeletal muscle index (SMI) was measured using dual energy X-ray absorptiometry. Serum triglyceride (TG) and fasting plasma glucose (FPG) were measured and used to calculate TyG index.Result: 119 male subjects (20.2%) had sarcopenia, while 72 female subjects (14.1%) had sarcopenia in T2DM patients. TyG index was correlated with a decreased risk of sarcopenia in both male and female T2DM groups. TyG index was found to be positively correlated with SMI after multivariate adjustment in male subjects. When TyG index was ≤9.5, TyG index was positively correlated with SMI. However, when TyG index was >9.5, there was not a significant association between TyG index and SMI. Moreover, TyG index was not correlated with SMI after multivariate analysis in female subjects. However, TyG index was positively correlated with SMI when TyG index was ≤9. When TyG index was >9, TyG index was negatively correlated with SMI, however, the correlation was not statistically significant. Conclusion: TyG index is inversely correlated with the presence of sarcopenia in type 2 diabetes patients.

The value of the triglyceride-glucose index in the diagnosis of insulin resistance in early forms of non-alcoholic fatty liver disease

The goal. To determine the value of the triglyceride glucose index (TGI) for the diagnosis of insulin resistance (IR) in early forms of non-alcoholic fatty liver disease (NAFLD).Materials and methods. 99 patients with NAFLD were examined: 38 (38.4%) with liver steatosis (LS) and 61 (61.6%) with steatohepatitis (SH). TGI was determined by the formula — In [fasting TG (mg / dl) × fasting glucose (mg / dl) / 2], patients with LS and SH were divided into quartiles (Q1-Q4) by increasing TGI levels with an assessment of liver tests, insulin levels (“Insulin TEST System”, Monobind Inc., USA), HOMA-IR, fragments of cytokeratin-18 (FCK-18) ("TPS ELISA, Biotech”, Sweden) and TNF-α (“Human TNFα Platinum” ELISA, eBioscience, Austria).Results. In patients with LS with a TGI increase from Q1 to Q4, HOMA-IR increased from 1.12 ± 0.48 to 6.02 ± 3.15 (p <0.05), a direct relationship was found between these indicators — r = 0.52 (p = 0.03). TGI also correlated with waist circumference — r = 0.81 (p = 0.01), cholesterol — r = 0.51 (p = 0.002), alkaline phosphatase — r = 0.41 (p = 0.02). In patients with SH, from Q1 to Q4, HOMA-IR increased from 3.15 ± 1.8 to 6.2 ± 3.04 (p <0.05), but there was no significant correlation between HOMA-IR and TGI. The levels of FCK-18 increased from Q1 to Q4-139.82 ± 72.45 to 359.75 ± 189.03 U / L (p <0.05) and TNF-α — from 6.38 ± 1.25 pg / ml up to 7.75 ± 1.09 pg / ml (p <0.05). There was a connection between TGI and the level of a marker of hepatocyte apoptosis — FCK-18 — r = 0.43 (p = 0.004).Conclusion. In liver steatosis, TGI has demonstrated its diagnostic role as a surrogate marker of insulin resistance, correlating with HOMA-IR. In steatohepatitis, TGI reflected the degree of hepatocytic apoptosis, correlating with fragments of cytokeratin-18.

Relationship between Serum Kallistatin and Afamin and Anthropometric Factors Associated with Obesity and of Being Overweight in Patients after Myocardial Infarction and without Myocardial Infarction

Extensive clinical and epidemiological evidence has linked obesity to a broad spectrum of cardiovascular disease (CVD), including coronary disease, heart failure, hypertension, cerebrovascular disease, atrial fibrillation, ventricular arrhythmias, and sudden death. In addition, increasing knowledge of regulatory peptides has allowed an assessment of their role in various non-communicable diseases, including CVD. The study assessed the concentration of kallistatin and afamin in the blood serum of patients after a myocardial infarction and without a cardiovascular event, and determined the relationship between the concentration of kallistatin and afamin and the anthropometric indicators of being overweight and of obesity in these groups. Serum kallistatin and afamin were quantified by ELISA tests in a cross-sectional study of 160 patients who were divided into two groups: study group (SG) (n = 80) and another with no cardiovascular event (CG) (n = 80). Serum kallistatin concentration was significantly higher in the SG (p < 0.001), while the level of afamin was significantly lower in this group (p < 0.001). In addition, a positive correlation was observed in the SG between the afamin concentration and the waist to hip ratio (WHR), lipid accumulation product (LAP) and the triglyceride glucose index (TyG index). In the CG, the concentration of kallistatin positively correlated with the LAP and TyG index, while the concentration of afamin positively correlated with all the examined parameters: body mass index (BMI), waist circumference (WC), hip circumference (HC), waist to hip ratio (WHtR), visceral adiposity index (VAI), LAP and TyG index. Serum kallistatin and afamin concentrations are associated with the anthropometric parameters related to being overweight and to obesity, especially to those describing the visceral distribution of adipose tissue and metabolic disorders related to excessive fatness.