BPA induces hepatotoxicity in zebrafish through oxidative stress and apoptosis pathways.

BPA is so ubiquitous that 27 million tons of BPA-containing plastic, including mineral water bottles and baby bottles, is produced worldwide each year. The potential toxicity of BPA to humans and aquatic organisms has been the subject of intense research. In this study, a zebrafish model system was used to assess BPA-mediated hepatotoxicity. Zebrafish larvae at 72-144 hpf were exposed to BPA at different concentrations (0,1, 3 and 5mg/L). For example, BPA-treated zebrafish larvae showed increased mortality, delayed uptake of nutrients in yolk sac, shortened body length, smaller liver area, abnormal expression of genes related to liver development, and pathological changes in the liver tissue. Mechanistically, BPA exposure induced excessive oxidative stress in the liver of zebrafish and increased the level of hepatocyte apoptosis in zebrafish larvae, and the antioxidant astaxanthin could rescue the BPA-mediated liver toxicity.

Artificial intelligence differentiates abdominal Henoch-Schönlein purpura from acute appendicitis in children.

OBJECTIVE: This study aims to construct an artificial intelligence (AI) model capable of effectively discriminating between abdominal Henoch-Schönlein purpura (AHSP) and acute appendicitis (AA) in pediatric patients. METHODS: A total of 6965 participants, comprising 2201 individuals with AHSP and 4764 patients with AA, were enrolled in the study. Additionally, 53 laboratory indicators were taken into consideration. Five distinct artificial intelligence (AI) models were developed employing machine learning algorithms, namely XGBoost, AdaBoost, Gaussian Naïve Bayes (GNB), MLPClassifier (MLP), and support vector machine (SVM). The performance of these prediction models was assessed through receiver operating characteristic (ROC) curve analysis, calibration curve assessment, and decision curve analysis (DCA). RESULTS: We identified 32 discriminative indicators (p < .05) between AHSP and AA. Five indicators, namely the lymphocyte ratio (LYMPH ratio), eosinophil ratio (EO ratio), eosinophil count (EO count), neutrophil ratio (NEUT ratio), and C-reactive protein (CRP), exhibited strong performance in distinguishing AHSP from AA (AUC ≥ 0.80). Among the various prediction models, the XGBoost model displayed superior performance evidenced by the highest AUC (XGBoost = 0.895, other models < 0.89), accuracy (XGBoost = 0.824, other models < 0.81), and Kappa value (XGBoost = 0.621, other models < 0.60) in the validation set. After optimization, the XGBoost model demonstrated remarkable diagnostic performance for AHSP and AA (AUC > 0.95). Both the calibration curve and decision curve analysis suggested the promising clinical utility and net benefits of the XGBoost model. CONCLUSION: The AI-based machine learning model exhibits high prediction accuracy and can differentiate AHSP and AA from a data-driven perspective.

Bone flare after initiation of novel hormonal therapy in patients with metastatic hormone-sensitive prostate cancer: A case report.

BACKGROUND: The 2020 European Association of Urology prostate cancer guidelines recommend androgen deprivation therapy (ADT) in combination with apalutamide and enzalutamide, a new generation of androgen receptor antagonists, as first-line therapy. A decrease in prostate-specific antigen (PSA) levels may occur in the early stages of novel hormonal therapy; however, radionuclide bone imaging may suggest disease progression. During follow-up, PSA, radionuclide bone imaging, and prostate-specific membrane antigen (PSMA) positron emission tomography - computed tomography (PET-CT) are needed for systematic evaluation. CASE SUMMARY: We admitted a 56-year-old male patient with metastatic hormone-sensitive prostate cancer. Initial radionuclide bone imaging, magnetic resonance imaging (MRI), and PSMA PET-CT showed prostate cancer with multiple bone metastases. Ultrasound-guided needle biopsy of the prostate revealed a poorly differentiated adenocarcinoma of the prostate with a Gleason score: 5+4 = 9. The final diagnosis was a prostate adenocarcinoma (T4N1M1). ADT with novel hormonal therapy (goseraline sustained-release implant 3.6 mg monthly and apalutamide 240 mg daily) was commenced. Three months later, radionuclide bone imaging and MRI revealed advanced bone metastasis. However, PSMA PET-CT examination showed a significant reduction in PSMA aggregation on the bone, indicating improved bone metastases. Considering that progressive decrease in the presenting lumbar pain, treatment strategies were considered to be effective. CONCLUSION: ADT using novel hormonal therapy is effective for treating patients with prostate adenocarcinoma. Careful evaluation must precede treatment plan changes.

Development and Validation of a Differential Diagnosis Model for Acute Appendicitis and Henoch-Schonlein Purpura in Children.

Objective: To study and develop a predictive model for the differential diagnosis of acute appendicitis (AA) and Henoch-Schonlein purpura (HSP) in children and to validate the model internally and externally. Methods: The complete data of AA and HSP cases were retrospectively analyzed and divided into internal and external verification groups. SPSS software was used for single-factor analysis and screening of independent variables, and R software was used for the development and verification of the diagnostic model. Lasso regression analysis was used to screen predictors and Lasso-logistic regression model was constructed, and K-fold cross-validation was used for the internal verification. In addition, nonfever patients were selected for model development and validation in the same way. Receiver operating characteristic (ROC) curves and calibration curves were drawn, respectively, to evaluate the 2 models. Results: Internal development and validation of the model showed that fever, neutrophil ratio (NEUT%), albumin (ALB), direct bilirubin (DBIL), C-reactive protein (CRP), and K were predictive factors for the diagnosis of HSP. The model was presented in the form of a nomogram, and the area under ROC curve of the development group and verification group was 0.9462 (95% confidence interval [CI] = 0.9402-0.9522) and 0.8931 (95% CI = 0.8724-0.9139), respectively. In the model of patients without fever, NEUT%, platelets (PLT), ALB, DBIL, alkaline phosphatase (ALP), CRP, and K were predictive factors for the diagnosis of HSP, and the area under ROC curve of the development group and verification group was 0.9186 (95% CI = 0.908-0.9293) and 0.8591 (95% CI = 0.8284-0.8897), respectively. Conclusion: In this study, 2 diagnostic models were constructed for fever or not, both of which had good discrimination and calibration, and were helpful to distinguish AA and HSP in children.

Case Report: 18F-FDG PET/CT and Laparoscopic Nephron Sparing Surgery in the Management of Bleeding From Renal Metastases of Choriocarcinoma.

Choriocarcinoma is a cancer that usually occurs in the uterus during pregnancy. Although choriocarcinoma with renal metastasis and spontaneous renal hemorrhage is very rare, it can occur. We describe a rare case of metastatic choriocarcinoma, wherein the patient presented with acute abdominal pain due to a subcapsular hematoma secondary to a bleeding renal metastasis. We performed a laparoscopic nephron sparing surgery to remove the tumor and control the bleeding. A retrospective analysis revealed that metastasis was detected on 18F-fluorodeoxyglucose PET/CT, but not on CT alone. To our knowledge, a case of choriocarcinoma with such symptoms and treatment has not been described in recent literature. Our case illustrates that acute bleeding from a renal metastasis can be effectively managed by laparoscopic nephron sparing surgery. It also demonstrates the advantage 18F-FDG PET/CT may have in the evaluation of metastatic choriocarcinoma.

[Interferon-induced transmembrane protein 3 knock-down inhibits proliferation and invasion of hepatocellular carcinoma HepG2 cells in vitro].

OBJECTIVE: To investigate the abnormal expression of interferon-induced transmembrane protein 3 (IFITM3) in hepatocellular carcinoma (HCC) and the effect of IFITM3 knock-down on the biological behaviors of hepatocellular carcinoma HepG2 cells. METHODS: Western blot analysis and immunohistochemical staining were used to determine the expression of IFITM3 protein in 60 HCC samples and paired adjacent tissues. A small interfering RNA fragments of IFITM3 (IFITM3 siRNA) was transiently transfected into HepG2 cells and expressions of IFITM3 at mRNA and protein levels were examined by qRT-PCR and Western blotting. The changes in the proliferation of the transfected cells were determined using cell counting kit 8 (CCK8) assay, and the cell invasion and migration were tested using Transwell assay and wound-healing assay. RESULTS: Compared with the adjacent tissues, HCC tissues expressed significantly higher levels of IFITM3. In HepG2 cells, transfection with IFITM3 siRNA resulted in significant down-regulation of IFITM3 expression at both the protein and mRNA levels and obviously suppressed cell proliferation, invasion, and migration ability as compared with the cells transfected with scrambled siRNA and control cells (P<0.05). CONCLUSIONS: IFITM3, which is overexpressed in HCC, plays a vital role in the proliferation and invasion of HCC cells and may serve as a potential target for gene therapy of HCC.