Triglyceride-glucose index is associated with metabolic syndrome in women with polycystic ovary syndrome

Exploring gene expression, alternative splicing events and RNA-binding proteins changes in PBMC from patients with hyperuricemia

AIM

The objective of this study was to examine the transcriptomic profile changes in hyperuricemia (HUA) and to investigate the pathogenic mechanisms and biomarkers of HUA from a transcriptomic perspective.

METHODS

In this study, three patients with HUA were randomly selected and matched with three healthy controls. Six participants provided peripheral blood mononuclear cells (PBMCs) for analysis. RNA sequencing (RNA-seq) was used to identify differentially expressed genes (DEGs) and alternative splicing events (ASEs). Gene Ontology (GO) biological processes and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis were performed to identify the functions and pathways of the DEGs and ASEs. Additionally, a co-expression network was constructed to analyze the regulation of DEGs and ASEs by RNA-binding protein (RBP) genes. In addition, important DEGs and ASEs were validated using quantitative real-time PCR (qPCR).

RESULTS

There were 633 DEGs identified, 348 up-regulated DEGs and 285 down-regulated DEGs, including RGS18, CAVIN2, GZMH, GNLY and MT-TV, which were mainly enriched in inflammatory and immune-related biological processes. A total of 1542 ASEs were significantly differentially expressed in HUA, of which LTB4R and ENTPD4 were closely associated with the development of HUA. In addition, 15 RBP genes were detected to be differentially expressed in HUA. Three RBP genes (IFIT1, IFFIT2, and IFIT3) were highly associated with immunoinflammation and affected HUA by modulating downstream immune responses, inflammatory response-associated DEGs, and ASEs. The selected five DEGs and two ASEs were verified by qPCR, which was consistent with the results of RNA sequencing.

CONCLUSIONS

In summary, the findings indicate that HUA is associated with significant changes in inflammatory and immune response-related genes (RGS18, CAVIN2, GZMH, GNLY, MT-TV, LTB4R, ENTPD4, IFIT1, IFFIT2, and IFIT3). These findings suggest potential biomarkers and therapeutic targets.

Research progress of cysteine transporter SLC7A11 in endocrine and metabolic diseases

SLC7A11, often called xCT, belongs to the SLC family of transporters, which mediates the cellular influx of cystine and the efflux of glutamate. These transport processes are crucial for synthesizing GSH, enhancing the cell's ability to mitigate oxidative stress (OS). Emerging studies highlight the pivotal role of OS in triggering and exacerbating various metabolic and endocrine disorders, underlining the critical importance of regulating SLC7A11 expression levels. This study reviews the diverse roles of SLC7A11 in endocrine and metabolic diseases, examining its relationship with the metabolism of three key nutrients: proteins and amino acids, carbohydrates, and lipids. Additionally, the involvement of SLC7A11 in the onset and development of various common endocrine and metabolic disorders is analyzed. Additionally, it provides an overview of the current clinical and experimental use of SLC7A11 inhibitors and agonists. This review aims to offer insightful perspectives into the involvement of SLC7A11 in endocrine and metabolic pathologies and to foster the development of innovative therapeutic strategies that target SLC7A11.

The prognostic significance of stress hyperglycemia ratio for all-cause and cardiovascular mortality in metabolic syndrome patients: prospective cohort study

OBJECTIVE

The stress hyperglycemia ratio (SHR) is a new biomarker indicating acute hyperglycemia and predicting adverse outcomes in different conditions. Yet, its impact on metabolic syndrome (MetS) has not been studied. We explored the link between SHR and long-term all-cause and cardiovascular disease (CVD) mortality in MetS patients.

METHODS

We conducted a large prospective cohort study involving 9438 participants diagnosed with MetS, drawn from the 1999-2018 NHANES. MetS diagnosis was based on NCEP-ATPIII criteria. Participants were categorized into three groups based on SHR tertiles: T1 (SHR ≤ 0.890), T2 (SHR 0.890-0.992), and T3 (SHR ≥ 0.992). Cox regression and Kaplan-Meier curve analyses assessed the correlation between SHR and mortalities. Non-linear correlations were explored using restricted cubic splines, and stratification analysis was performed.

RESULTS

Out of 9438 MetS patients, 1929 deaths occurred during an average follow-up of 107 ± 64 months, including 541 CVD deaths. All-cause and CVD mortality rates were significantly higher with elevated SHR values (T3) than lower tertiles (23.4% vs. 19.5% and 18.3%, P < 0.001; 6.8% vs. 5.3% and 5.1%, P = 0.007, respectively). A U-shaped relationship was observed between SHR and all-cause and CVD mortality (all P for non-linear < 0.001). Kaplan-Meier analysis indicated higher SHR values associated with increased risk of all-cause and CVD mortality (all log-rank P < 0.001). After adjusting for confounders, multivariate Cox regression showed SHR remained associated with a 1.256-fold and 1.023-fold risk of all-cause and CVD mortality.

CONCLUSIONS

SHR independently correlates with all-cause and CVD mortality in MetS patients, displaying a U-shaped relationship with clinical endpoints.

Serum magnesium and calcium were inversely associated with hemoglobin glycation index and triglyceride-glucose index in adults with coronary artery disease

Little is known about the associations of magnesium (Mg) and calcium (Ca) with hemoglobin glycation index (HGI) and triglyceride-glucose index (TyG) in adults. In this study, we examined the associations of serum Mg and Ca with HGI and TyG in adults with coronary artery disease (CAD). This hospital-based cross-sectional study included 10757 CAD patients with a mean age of 61.6 years. Serum concentrations of Mg and Ca were measured in clinical laboratory. Overall, serum Mg and Ca were inversely associated with HGI and TyG. In multivariable analyses, Mg and Ca were inversely associated with HGI (MgQ4 vs. Q3: -0.601 vs. -0.528; CaQ4 vs. Q1: -0.769 vs. -0.645). In terms of TyG, inverse associations of serum Mg and Ca with TyG were observed. The corresponding TyG values were 9.054 (vs. 9.099) for Mg and 9.068 (vs. 9.171) for Ca in the fourth quartile compared with the first quartile. Moreover, Mg, Ca or Mg/Ca ratio were also inversely associated with HbA1c and FBG. In path analysis, no mediating effects of obesity on "serum Mg (or Ca)- HGI (or TyG)" associations were observed. Generally, our study identified the inverse associations of the serum Mg and Ca levels with HGI and TyG in adults with CAD. Large sample longitudinal study, and particularly randomized controlled trials, are warranted to validate our findings and overcome the limitations of cross-sectional studies.

Lipid accumulation product is an effective predictor of metabolic syndrome in non-obese women with polycystic ovary syndrome

Objective

To explore the correlation of lipid accumulation product (LAP) with metabolic syndrome (MS) and to assess the predictive value of LAP for MS risk in polycystic ovary syndrome (PCOS) with different body mass index (BMI).

Methods

A total of 242 PCOS patients and 150 controls were recruited and divided into normal-weight, overweight, and obese groups, then further divided into MS and without MS subgroups. Clinical and anthropometric variables and laboratory results were recorded. LAP was calculated from waist circumference (WC) and triglyceride using sex-specific formulae. Logistic regression analysis and receiver operating characteristic (ROC) curve were applied to determine and analyze the predictive value of LAP for MS.

Results

The prevalence of MS among PCOS patients was 45.04%, which was significantly higher than that of the controls (10%). Stratified by BMI, the incidence of MS in the normal-weight, overweight, and obese PCOS groups were 15.58%, 41.43%, and 71.58%, respectively. Logistic regression analysis indicated that LAP was an independent risk factor for MS in both normal-weight and overweight groups; however, the results were not significant in the obese group. ROC curve analysis showed that LAP had an outstanding discrimination index for MS in normal-weight (AUC=0.960, cut-off value=42.5) and overweight (AUC=0.937, cut-off value=47.93) PCOS patients, with a sensitivity of 0.917/0.931 (normal-weight/overweight) and a specificity of 0.969/0.854 (normal-weight/overweight), respectively.

Conclusion

Normal-weight and overweight PCOS patients also have a fairly high incidence of MS and should receive as much attention as obese patients. Compared to applying multiple clinical indicators, LAP is more convenient and facilitates acquiring early and accurate diagnoses of MS among non-obese PCOS patients using fewer MS markers.