Essential Trace Elements in Patients with Dyslipidemia: A Meta-analysis

Research Progress of Risk Factors Associated with Gestational Diabetes Mellitus

Gestational Diabetes Mellitus (GDM) is a common endocrine condition associated with adverse pregnancy outcomes. In recent years, a growing number of risk factors associated with gestational diabetes mellitus have been defined. GDM poses a serious threat to maternal health. The etiology is complex and multifactorial and can be divided into inherent and modifiable factors. The inherent factors have been described in other literature, while the modifiable factors are mainly the risk of lifestyle habits. In this study, we performed a narrative review of the progress of risk factors associated with gestational diabetes mellitus.

Evaluation of Serum Lipids, Biochemical Parameters, Selected Antioxidant Elements and Oxidative Stress Profiles in Late Pregnant Jennies with Hyperlipemia

Donkeys are particularly at risk of hyperlipemia. Hyperlipemia is a metabolic disease caused by the mobilization of fatty acids from adipose tissue, which often impacts pregnant and lactating jennies (female donkeys) during periods of negative energy balance. This study aimed to evaluate the levels of lipids, biochemical parameters, selected antioxidant elements and oxidative stress parameters in late pregnant jennies affected by hyperlipemia. Compared with the healthy jennies, the hyperlipemic animals exhibited significantly elevated levels of triglycerides (TGs), total cholesterol (T-CHO) and low-density lipoprotein cholesterol (p < 0.05), coupled with reduced levels of high-density lipoprotein cholesterol and albumin (ALB) (p < 0.05). The serum levels of biochemical parameters related to liver function, such as aspartate aminotransferase, alanine aminotransferase, alkaline phosphatase (AKP) and cholinesterase (CHE), showed a significant increase in the hyperlipemia group compared to the healthy group (p < 0.05). The serum level of selenium was significantly lower (p < 0.05) and positively correlated with TGs (r = 0.85) and ALB (r = 0.73) in the hyperlipemia group. The hyperlipemic jennies showed diminished serum levels of antioxidant capacity and increased levels of malondialdehyde (MDA). The area under the curve values for T-CHO, ALB, AKP, CHE, total superoxide dismutase, glutathione and MDA were relatively high. Thus, our findings reflect metabolic disorders, liver dysfunction and oxidative stress in late pregnant hyperlipemic jennies, providing a basis for the improvement of clinical diagnostic methods and early prevention and control of hyperlipemia in jennies.

Serum Selenium Levels and Lipid Profile: A Systematic Review and Meta-analysis of Observational Studies

Selenium is a trace element with pivotal roles in metabolic processes. Studies suggested that selenium deficiency could lead to impaired lipid profiles. However, inconsistent results have been reported regarding the association between serum selenium concentrations and lipid profile (triglycerides, LDL, HDL, VLDL, and total cholesterol). Thus, we aimed to review the correlation between them. A systematic literature search was conducted in PubMed, Embase, Web of Science, Scopus, and Google Scholar until 31 December 2023. The relevant correlation coefficients were used as desired effect sizes to assess the correlation between selenium level and lipid profile. Among 8291 records found in the primary search, 47 and 34 articles were included in the systematic review and meta-analysis, respectively. All included studies were observational investigations and had acceptable quality. Our results failed to reach strong evidence supporting the correlation between serum selenium level and lipid profiles, except for HDL, which showed a weak correlation among both adults (r = 0.1 [0.03:0.17]; I2 = 71%) and pediatrics (r = 0.08 [0.03:0.14]; I2 = 38%). Subgroup analyses based on gender did not reveal a significant or strong correlation with selenium levels (except for total cholesterol in males (r = 0.12 [0.01:0.22]; I2 = 52%)). The results did not change after the sensitivity analysis. Although some previous studies have suggested that selenium deficiency could lead to impaired lipid profile, the findings of this study indicate no strong correlation between serum selenium levels and lipid profile.

Association between composite dietary antioxidant index and hyperlipidemia: a cross-sectional study from NHANES (2005-2020)

The association between the composite dietary antioxidant index (CDAI) and hyperlipidemia remains unclear. Therefore, this study aimed to investigate the relationship between CDAI and hyperlipidemia. The data used in this study were obtained from the National Health and Nutrition Examination Survey (NHANES) dataset spanning from 2005 to 2020. Based on 24-h dietary recall interviews, the CDAI was calculated using the intake of six dietary antioxidants. Univariate and multivariate logistic regression models were employed to investigate the relationship between CDAI and the occurrence of hyperlipidemia. Additionally, restricted cubic spline (RCS) analysis was utilized to investigate potential non-linear relationships between the CDAI and risk of hyperlipidemia. The final analysis included 30,788 adults in the United States, among whom 25,525 (82.91%) were diagnosed with hyperlipidemia. A significant negative correlation was observed between the CDAI and hyperlipidemia in the unadjusted (Odds ratio [OR] 0.97 [95% CI 0.96, 0.98]) and multi-variable adjusted (OR 0.98 [95% CI 0.97, 0.99]) models. When the CDAI values were analyzed as a categorical variable, individuals in the highest quartile (OR 0.82 [95% CI 0.73, 0.92]) exhibited a nearly one fifth decreased risk of hyperlipidemia compared to those in the lowest quartile. Additionally, RCS analysis revealed a linear relationship between CDAI and hyperlipidemia (P for nonlinearity = 0.124). The results remained consistent across subgroups except for individuals under the age of 60 or those with diabetes mellitus. There was a significant negative correlation between the CDAI and risk of hyperlipidemia, indicating that maintaining an optimal CDAI level could effectively reduce the incidence of hyperlipidemia.

Integrative Analysis Reveals STC2 as a Prognostic Biomarker of Laryngeal Squamous Cell Carcinoma

Stanniocalcin 2 (STC2) is involved in many tumour types, but it remains unclear what its biological function is in laryngeal squamous cell carcinoma (LSCC). Therefore, we investigated STC2's expression, potential function, and prognostic significance of in LSCC. The expression and prognosis of STC2 in LSCC were described using the Gene Expression Omnibus (GEO) and The Cancer Genome Atlas (TCGA) databases. In the TCGA database, the relationship between STC2 and immune infiltration, expression of immune cell chemokine and receptor genes, immune cell molecular marker genes, and epithelial‒mesenchymal transition (EMT) marker genes were analysed. The biological processes involved in STC2 and its expression-related genes were analysed comprehensively using bioinformatics. The single-gene ceRNA network of STC2 was constructed in the TCGA database. Finally, LSCC patients' tumour tissue STC2 expression was verified. STC2 silencing with the RNAi technique was used for the determination of cellular functions in a laryngeal cancer cell line. STC2 expression was higher in most tumours, including LSCC, than in normal tissues and was associated with poor prognosis. The relative proportions of naïve B, plasma, follicular helper T, and macrophage M0 cells in LSCC and normal samples differed significantly. STC2 expression correlated significantly positively with that of TGFB1 (biomarker of Tregs) and significantly negatively with that of D79A and CD19 (biomarkers of B cells). Furthermore, STC2 affected chemokine and receptor gene expression in immune cells. STC2 expression correlated with EMT marker gene expression in LSCC. STC2 was enriched in the PI3K/AKT signalling pathway, extracellular matrix (ECM) organisation, ECM-receptor interaction, and other tumour-related signalling pathways. STC2 was highly expressed in our clinical samples. N-cadherin and vimentin expression were decreased in the TU686 cell line after successful silencing of STC2, indicating that high STC2 expression may prompt LSCC cells to adopt a mesenchymal cell phenotype. STC2 silencing substantially reduced proliferation and migration in the TU686 cell line. STC2 may be a promising predictive biomarker for tumours, providing new approaches for LSCC diagnosis and treatment monitoring.

Risk Factors Analysis of Severe Liver Injury Induced by Statins

The aim of this study is to report the risk factors of severe statin induced liver injury (SILI). From the database of Shandong ADR Monitoring Center and Outpatients and inpatients in our hospital, SILI cases reported from 2013 to 2021 were extracted and screened. The diagnostic criteria of SILI, the inclusion and exclusion criteria of severe and general SILI were established separately. After the SILI cases were selected and confirmed, the socio-demographic and clinical characteristics were collected. Single factor chi-square test and multi-factor unconditional logistic regression analysis were used to analyze the influencing factors of severe SILI. From 1391 reported cases, 1211 met SILI diagnostic criteria, of which 157 were severe SILI and 964 were general SILI. Univariate analysis showed that age, drug combination, statin category were the influencing factors of severe SILI (p<0.1). Multivariate logistic analysis showed that drug combination and statin category were the influencing factors of severe SILI (p<0.05). Atorvastatin caused the most serious SILI, and its risk is 1.77 times higher than rosuvastatin. The serious SILI risk of drug combination was 2.08 times higher than statin alone. The patient with these factors should be monitored intensively during clinical treatment, to ensure their medication safety.