Genetically predicted processed meat, red meat intake, and risk of mental disorders: A multivariable Mendelian randomization analysis.

BACKGROUND: Previous observational studies have highlighted potential links between the consumption of processed meat and red meat (such as pork, mutton, and beef intake) and the occurrence of mental disorders. However, it is unclear whether a causal association exists. Therefore, we employed the Mendelian randomization (MR) study to investigate the causal effects of genetically predicted processed meat and red meat on mood disorders (MD), anxiety disorders (AD), and major depressive disorder (MDD). METHODS: Genetic instruments for processed and red meat were selected from the Genome-Wide Association Study (GWAS) of the UK Biobank Study. Their associations with MD (42,746 cases 254,976), AD (35,385 cases and 254,976 controls), and MDD (38,225 cases and 299,886 controls) were obtained from the FinnGen Consortium. The inverse variance weighted (IVW) method was the primary method for two-sample MR analysis. Additionally, we employed complementary analysis to assess the robustness of our MR findings (eg, MR Egger and weighted median). We also conducted multiple sensitivity analyses to investigate horizontal pleiotropy and heterogeneity. Moreover, we performed a univariate and multivariable MR (MVMR) study to evaluate these associations. RESULTS: In our univariate MR analysis, we observed that genetically predicted beef intake was associated with a reduced risk of MD [odds ratio (OR) = 0.403, 95 % confidence interval (CI) = 0.246-0.659; PIVW = 4.428 × 10-5], AD (OR = 0.443, 95 % CI = 0.267-0.734; PIVW = 1.563 × 10-3), and MDD (OR = 0.373, 95 % CI = 0.216-0.643; PIVW = 3.878 × 10-4). After adjusting for processed meat, pork, and mutton intake in the MVMR analysis, the protective association of beef intake against MD and MDD remained. However, there was no substantial evidence indicating a significant causal relationship between processed meat, pork, and mutton intake and the occurrence of mental disorders. Furthermore, our sensitivity analysis revealed no significant evidence of horizontal pleiotropy. CONCLUSION: These findings support a causal relationship between genetically predicted beef intake and reducing the risk of MD and MDD.

Protein disulfide isomerase A3 as novel biomarker for endometrial cancer.

Objective: This study aims to investigate the potential of PDIA3 as a novel prognostic biomarker and therapeutic target for Endometrial Cancer (EC) with the ultimate goal of improving survival rates in EC patients. Methods: This study employed a combination of public database analysis and clinical tissue sample assays. The analysis included comparing the gene expression of PDIA3 between EC and adjacent paracancerous tissues, investigating this expression status using qPCR and immunohistochemistry (IHC) assays, studying the correlation of expression with different parameters using Chi-square test, Cox Regression, and log-rank test, as well as exploring the PDIA3-related immune infiltration and metabolic pathway using TIMER and GSEA. Results: The analysis of public datasets revealed that PDIA3 mRNA and protein expression was significantly higher in EC tissues compared to adjacent tissues (P = 4.1e-03, P = 1.95e-14, and P = 1.6e-27, respectively). The qPCR analysis supported this finding (P = 0.029). IHC analysis revealed a significant increase in PDIA3 expression in endometrial cancer (EC) tissues compared to adjacent normal tissues (P = 0.01). Furthermore, PDIA3 expression showed significant correlations with cancer stage and tumor grade. Multivariate Cox regression analysis suggested that the PDIA3 gene holds promise as a prognostic factor for EC patients (HR = 0.47, 95% CI [0.27, 0.82], P = 0.008). The results from TIMER demonstrated a positive correlation between PDIA3 and tumor-infiltrating CD8 T cells and macrophages, and a negative correlation with tumor-infiltrating CD4 T cells. Additionally, the GSEA results indicated that PDIA3 overexpression was associated with various metabolic processes in EC patients. Conclusion: PDIA3 has been validated as a potential biomarker for EC, and its expression is further associated with pathological staging and prognosis.

The protective role of serum uric acid against premature membrane rupture in gestational diabetes: a cross-sectional study.

BACKGROUND: Uric acid has strong antioxidant activity, whereas its oxidative damage is closely related to many diseases. We assessed the association between serum uric acid (SUA) levels and premature rupture of membranes (PROM) in pregnant women with gestational diabetes (GDM) in China. METHODS: In this cross-sectional study, a total of 456 pregnant women were enrolled. Anthropometric parameters for pregnant women were collected within 12 weeks of gestation. Weight gain during pregnancy was obtained from the patients' records. GDM was diagnosed according to 75-g oral glucose tolerance tests at the 24-28th week of gestation, and SUA was determined simultaneously. PROM was identified as the natural rupture of foetal membranes before the first stage of labour. Logistic models were fitted to identify the presence of PROM using clinical characteristics with (Model 2) or without serum uric acid (Model 1). RESULTS: There were differences in BMI, haemoglobin A1c, fasting blood glucose, 1-h postprandial glucose (PG), 2-h PG, insulin levels, triglycerides,weight gain during pregnancy, the rate of macrosomia, fetus birth weight and PROM between women with and without GDM (all P < 0.05). Furthermore, GDM women with PROM had lower levels of SUA compared to those without PROM (P = 0.030). The odds ratio of PROM decreased with increasing SUA levels. The area under the receiver operating characteristic curves for PROM based on Model 2 was larger than that in Model 1 (0.86 versus 0.71, P < 0.05). CONCLUSION: Relatively elevated SUA levels at the 24-28th weeks of gestation were associated with a lower risk of PROM in women with GDM. Therefore, SUA may be a protective factor for PROM in GDM patients. The optimal concentration of uric acid in different diseases and different populations needs to be further studied.

Serum growth differentiation factor 15 is closely associated with metabolic abnormalities in Chinese pregnant women.

AIMS: To explore the relationship between serum growth differentiation factor 15 (GDF15) and metabolic abnormalities in Chinese pregnant women. MATERIALS AND METHODS: We recruited 200 patients with gestational diabetes mellitus (GDM) and 211 matched normal control within 24-28 weeks of pregnancy. Enzyme-linked immunosorbent assay (ELISA) was used to determine the serum GDF15 levels of all participants. Then we grouped participants according to the number of metabolic abnormalities (including blood glucose, blood lipids and blood pressure), divided them into a normal metabolic group, one metabolic abnormality group, two or more metabolic abnormalities group. Finally, multinomial logistic regression analysis was used to estimate the odds radio (OR) and 95% CIs expressing the association between GDF15 and metabolic abnormalities in pregnant women. RESULTS: Through bivariate correlation analysis, we found that serum GDF15 is linearly correlated with glucose metabolism indices, such as 1h-PG, 2h-PG, HbA1c (all P < 0.05). In addition, serum GDF15 and triglycerides were linearly correlated (P < 0.05). Grouping by the number of metabolic abnormalities, we found that as GDF15 levels increased, the risk of metabolic abnormalities also increased (OR > 1), and the risk of multiple metabolic abnormalities was higher. As the number of metabolic abnormalities increased, serum GDF15 levels also were elevated (P < 0.001). CONCLUSIONS: The results suggest that serum GDF15 levels are closely associated with metabolic abnormalities in pregnant women and may be used as a predictor of metabolic abnormalities during pregnancy.

Association between Pancreatic Atrophy and Loss of Insulin Secretory Capacity in Patients with Type 2 Diabetes Mellitus.

AIMS: To examine pancreatic volume (PV) changes among patients with different duration of type 2 diabetes and whether pancreatic atrophy was associated with loss of insulin secretory capacity. METHODS: This cross-sectional study (203 patients with type 2 diabetes, 93 controls without diabetes) was conducted from January 2016 to December 2017. Patients with type 2 diabetes were divided into 3 groups: recently diagnosed (duration ≤ 2 years), midterm (duration 3-9 years), and long term (duration ≥ 10 years). All the patients were scanned with upper abdominal computerized tomography; PV was then calculated by an experienced technician. Absolute insulin deficiency was defined as fasting C - peptide < 0.9 ng/mL. RESULTS: Compared with PV (cm3) in the controls, the mean PV was similar in patients with recently diagnosed type 2 diabetes (68.8 versus 71.0, P = 0.56) but significantly reduced in patients with midterm (68.8 versus 60.8, P < 0.05) and long-term (68.8 versus 53.1, P < 0.001) type 2 diabetes. A similar trend was observed for the PV index (PV adjusted for body surface area and body mass index). Furthermore, rates of pancreatic atrophy and absolute insulin deficiency increased with duration of diabetes. Multiple logistic regression analysis indicated that pancreatic atrophy was associated with higher likelihood of absolute insulin deficiency (odds ratio = 4.47, 95%confidence interval = 1.45-13.8). CONCLUSIONS: PV was reduced in those with midterm and long-term type 2 diabetes compared to individuals without type 2 diabetes. Overall, pancreatic atrophy was associated with the loss of insulin secretory capacity in patients with type 2 diabetes.

Serum Magnesium Concentration Is Inversely Associated with Albuminuria and Retinopathy among Patients with Diabetes.

Aim. To investigate the association between serum magnesium levels and microvascular complications among patients with diabetes. Methods. Patients with diabetes were recruited between April 2012 and January 2015. All patients received an assay of serum magnesium concentration, were screened for 24 h albumin excretion rate, and underwent nonmydriatic fundus photography. Albuminuria and retinopathy were defined accordingly. A total of 3,100 patients with normal serum magnesium levels were included in this study. Results. Patients with albuminuria and/or retinopathy had lower levels of serum magnesium than patients without these complications (P < 0.001). The prevalence of isolated albuminuria, isolated retinopathy, and combined albuminuria and retinopathy decreased as the concentration of serum magnesium increased. Multiple logistic regression analysis indicated that the odds ratio for isolated albuminuria, isolated retinopathy, and concomitant albuminuria and retinopathy decreased by approximately 20% for every 0.1 mmol/L increase in serum magnesium concentration. Conclusion. Serum magnesium levels were negatively associated with the risk of diabetic microvascular complications among patients with serum magnesium levels within the normal range.