The prediction and treatment of postpartum myofascial pelvic pain.

BACKGROUND: The clinical manifestations of myofascial pelvic pain (MFPP) are mainly acute or chronic muscle pain at one or more trigger points in the pelvic cavity or pelvic floor. OBJECTIVE: This study aims to explore the predictive value of pelvic floor myoelectric parameters with respect to MFPP and the effect of its clinical treatment. METHODS: Two hundred and one women followed up in the Wenzhou People's Hospital 6-12 weeks postpartum between July 2020 and July 2021. They were divided into an MFPP group (n= 90) and a non-MFPP group (n= 102), but 9 MFPP patients without a pelvic floor electromyography evaluation were not included. The general demographic data and pelvic floor electromyography evaluation parameters of the two groups were compared; the related factors of postpartum women suffering from MFPP were analyzed, and a nomogram model of the postpartum risk of suffering from MFPP was established. The 99 patients with postpartum MFPP were divided into a treatment group (n= 10) and a control group (n= 89). The difference in visual analog scale scores between the two groups initially and after three months of treatment was compared to evaluate the effective remission rate of postpartum MFPP after treatment. RESULTS: A significant difference was observed in the relaxation time at the rapid contraction stage (z= 4.369, p< 0.05) and the tension contraction stage (z= 135.645, p< 0.01) between the MFPP group and the non-MFPP group. The nomogram model for predicting postpartum MFPP was established with nine variables as potential predictors. The calibration chart and C index of 0.68 (95% CI: 0.65-0.71) proved that the model had a certain degree of discrimination. The clinical decision-making curve showed that the model could increase the net benefit rate of patients. The pain relief rate in the treatment group was significantly higher than that in the control group (p< 0.01). CONCLUSION: There is a significant correlation between postpartum MFPP and relaxation time at rapid contraction stage and tension contraction stage. The risk prediction nomogram model of postpartum MFPP established with nine potential predictors has a certain prediction capability, and clinical treatment can effectively relieve MFPP in postpartum patients.

Girdin influences pancreatic cancer progression by regulating c-MYC expression.

Pancreatic ductal adenocarcinoma is a complex gastrointestinal tumor with high metastatic potential and poor prognosis. Actin-binding protein Girdin is highly expressed in a variety of tumors and promotes tumorigenesis and progression. However, the mechanisms underlying the involvement of Girdin in pancreatic cancer have not been clarified. In this study, we observed that the expression of Girdin was upregulated in pancreatic cancer cells. The siRNA-mediated gene knockdown experiments showed that reduced expression of Girdin in pancreatic cancer cells inhibited cell proliferation, migration, and invasion while promoting cell apoptosis. Functional assays revealed that c-MYC overexpression in pancreatic cancer cells could significantly increase the cell proliferation ability and rates of cell migration and invasion while decreasing the apoptosis rate. It has been shown that phosphorylation plays a role in the functional regulation of the c-MYC gene. Subsequently, we examined the expression level of c-MYC in cells with manipulated expression of Girdin and identified a positive correlation between Girdin expression and c-MYC expression. Moreover, we found that Girdin knockdown in c-MYC-overexpressing pancreatic cancer cells slowed cell growth, blocked the cell cycle progression, significantly promoted apoptosis, and markedly decreased the cell migration and invasion. This finding indicated that silencing Girdin could mitigate the effect of c-MYC on promoting proliferation and metastasis of pancreatic cancer. Overall, this study provided evidence that Girdin promoted pancreatic cancer development presumably by regulating the c-MYC overexpression.

IncRNA LUCAT1 acts as a Potential Biomarker and Demonstrates Malignant Biological Behaviors in Gastric Cancer.

BACKGROUND: Gastric cancer (GC) remains the fourth-leading malignancy worldwide and has a high mortality rate. Accumulating evidence reveals that long noncoding RNAs (lncRNAs) play essential roles in tumorigenesis and metastasis and can be used as potential biomarkers for diagnosis and prognosis. METHODS: We downloaded gene expression profiles from the National Center of Biotechnology Information Gene Expression Omnibus (GEO), screened lncRNAs differentially expressed in gastric cancer tissues and adjacent tissues, and then constructed a lncRNA-miRNA-mRNA network. Seventy patients with gastric cancer were divided into two groups according to different clinical characteristics. The expression of lncRNA LUCAT1 in gastric cancer was detected by reverse transcription polymerase chain reaction (RT-PCR). The AGS and SGC-7901 cell lines were used in CCK8 assay, apoptosis, cell cycle test, transwell assay, and wound healing assay. RESULTS: The expression level of LUCAT1 was associated with tumor diameter (p < 0.001), tissue differentiation grade (p = 0.026), and LNM status (p = 0.020) in GC. The results showed that the lncRNA LUCAT1 could promote the proliferation, invasion, and migration of GC cells, inhibit the apoptosis of GC cells, and affect the process of cell cycles. CONCLUSIONS: The lncRNA LUCAT1 may be used as a potential biomarker for early signs of LNM in GC and may play a crucial role in the development of GC.

Trends of superoxide dismutase and soluble protein of aquatic plants in lakes of different trophic levels in the middle and lower reaches of the Yangtze River, China.

A limnological study was carried out to determine the responses of superoxide dismutase (SOD) activities and soluble protein (SP) contents of 11 common aquatic plants to eutrophication stress. Field investigation in 12 lakes in the middle and lower reaches of the Yangtze River was carried out from March to September 2004. Our results indicated that non-submersed (emergent and floating-leafed) plants and submersed plants showed different responses to eutrophication stress. Both SOD activities of the non-submersed and submersed plants were negatively correlated with their SP contents (P < 0.000 1). SP contents of non-submersed plants were significantly correlated with all nitrogen variables in the water (P < 0.05), whereas SP contents of submersed plants were only significantly correlated with carbon variables as well as ammonium and Secchi depth (SD) in water (P < 0.05). Only SOD activities of submersed plants were decreased with decline of SD in water (P < 0.001). Our results indicate that the decline of SOD activities of submersed plants were mainly caused by light limitation, this showed a coincidence with the decline of macrophytes in eutrophic lakes, which might imply that the antioxidant system of the submersed plants were impaired under eutrophication stress.