Analysis of Risk Factors for Negative Emotions in the Perioperative Period in Patients with Benign Ovarian Cysts Treated Laparoscopically and Their Impact on Prognosis: A Retrospective Cohort Study.

Background: Ovarian cysts are common diseases among women. They might affect reproductive function in severe cases, and thus, patients with ovarian cysts often have negative emotions. Purpose: In this study, we elucidated the risk factors for negative emotions in patients with ovarian cysts during the perioperative period and their impact on prognosis. Methods: From August 2019 to August 2021, we retrospectively included 330 female patients with pathologically diagnosed benign ovarian cysts as potential participants in this study. Based on the established inclusion and exclusion criteria, 308 patients were finally included. We performed the t-test and Chi-squared test to analyze the relationship between the negative emotions of the patients and prognosis. Binary logistic regression and linear regression were used to assess independent risk factors for negative patient mood and prognosis.Based on SAS and SDS scores, patients with anxiety and/or depression are considered to combined negative emotions. Results: In total, 47 patients (15.3%) had negative emotions during the perioperative period. The results of the binary logistic regression analysis showed that the menstrual status (OR = 3.099, P = 0.028), intraoperative blood loss (OR = 1.043, P = 0.029), recurrence (OR = 3.691, P = 0.047), and several other factors were independent risk factors for negative emotions. The results of the linear regression analysis showed that the presence of combined negative affect (P = 0.000), recurrence (P = 0.010), postoperative IL-2 (P = 0.035), and several other factors were independent risk factors for patient prognosis. Conclusion: In clinical work, identifying the independent risk factors for negative emotions and enhancing their behavioral awareness and self-efficacy is necessary to improve their quality of life after surgery. Meanwhile, we will continue our exploration of the causes of negative emotions in patients in the future.

Upregulated CXCL8 in placenta accreta spectruma regulates the migration and invasion of HTR-8/SVneo cells.

BACKGROUND: Placenta accreta spectrum (PAS) is mainly characterized by excessive invasion of the uterine muscle layer accompanied by a large number of foreign blood vessels, leading to severe bleeding during and after delivery. However, the mechanism of excessive invasion of nutrient cells in placenta accreta is currently unclear. METHODS: We performed RNA sequencing of 6 PAS patients and 4 control donors, coupled with Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses. The mRNA and protein expression of C-X-C motif ligand 8 (CXCL8) in the placental tissue was measured by qRT‒PCR, immunohistochemical staining and Western blotting. HTR-8/SVneo human villous trophoblast Neo cells were used for in vitro investigation of cell migration and invasion as well as the expression level of CXCL8. RESULTS: A total of 1120 differentially expressed mRNAs were identified in PAS patients. Moreover, GO and KEGG analyses indicated that the differentially expressed mRNAs were most closely associated with immune system processes, biological adhesion and Wnt signaling pathway. The CXCL8 mRNA and protein levels in PAS tissue were significantly higher than those in normal placental tissue. Forced overexpression of CXCL8 significantly increased the migration and invasion of HTR-8/SVneo cells, accompanied by the upregulation of matrix metalloproteinase-2 and matrix metalloproteinase-9 and the downregulation of E-cadherin, which was reversed by knockdown of CXCL8. CONCLUSIONS: CXCL8 was highly expressed in PAS, and knockdown of CXCL8 suppressed the migration and invasion of HTR-8/SVneo cells, suggesting its potential as a diagnostic and therapeutic target for PAS.

Polarizable TIP7P Water Model with Perturbation Charges Evaluated from ABEEM.

A polarizable version of the rigid seven-site (TIP7P) water model with the atom-bond electronegativity equalization method (ABEEM) is proposed. The model uses direct polarization, where an isolated water monomer in the equilibrium geometry is assumed as a reference state and the polarization of the monomer arises from interacting with other molecules as a perturbation of the reference state. The charge on each site of the monomer splits into reference charge and perturbation charge. The perturbation charge arises only because of other reference charges. The interaction of the perturbation charge with other perturbation charges is replaced using polarization scaling to enhance the interaction of perturbation charge with the reference charges of the sites from other molecules. The perturbation charges are updated by evaluating explicit expressions once. This direct polarization is time-reversible because the charge update is independent of the charges in previous simulation steps. A Slater-type damping function moderates the short-range electrostatics to treat charge diffusion. The Ewald method corrects the long-range electrostatics both in the nuclei movement and in electronegativity equalization to diminish the size effect. The water model is parameterized by fitting the ab initio results of water clusters and the experimental results of water monomers and thermodynamic properties for liquid water. Owing to polarizability, the model performs better than the TIP7P model in terms of vaporization enthalpy, isothermal compressibility, and shear viscosity of the liquid phase. It performs better at the melting point of ice but slightly worse under critical conditions than the TIP7P model. Direct polarization has a low time complexity of O(N) and is a good choice for ABEEM to improve its computational efficiency.