Objective To investigate the expression of integrin α6 mRNA in skin lesions of patients with condyloma acuminata. Methods Sixty outpatients with condyloma acuminate, including 30 primary cases and 30 recurrent cases were enrolled in the study;30 non-condyloma acuminate patients undergoing circumcision were used as normal controls. The expression of integrin α6 mRNA in condyloma acuminata lesions of primary and recurrent cases, as well as in skin samples of normal controls were determined by RTPCR. ANOVA was used to compare the differences among the groups, and Student-Newman-Keuls test(q test)was used for pairwise comparisons. Results Relative contents of integrin α6 mRNA(integrin α6/GAPDH)in normal controls, primary and recurrent condyloma acuminata lesions were 0.25±0.10, 0.79±0.16 and 1.07±0.29, respectively, and the difference was of statistical significance(F=127.687, P=0.001). Conclusion Integrin α6 may be associated with the pathogenesis and recurrence of condyloma acuminate, which may provide a new target for prevention and treatment of the disease.

Objective:To investigate the effect of the expression levels of CXCL12 and CXCR4 of carbon dioxide (CO2) pneu-moperitoneum on nude mice xenografts from human ovarian cancer SKOV3 cells in the same pressure at different times. Methods:A total of 40 animal models of human ovarian cancer SKOV3 cell-bearing nude mice xenografts were established. The animals were ran-domly divided into four groups (n=10), namely, the simple anesthesia group, 0.5 h laparotomy group, and 0.5 and 1 h CO2 pneumoperi-toneum groups. After the aforementioned treatments in the groups, the expression levels of CXCL12 and CXCR4 mRNAs of tumor tis-sues were detected by reverse transcription-polymerase chain reaction (RT-PCR), whereas those of the CXCL12 and CXCR4 proteins were detected by Western blot. Results:The 40 animal models of human ovarian cancer SKOV3 cell-bearing nude mice were success-fully established. After the treatment, RT-PCR results reveal that the CXCL12 mRNA expression was significantly higher in the 1 h CO2 pneumoperitoneum group than that in the other three groups. However, no differences were observed in the CXCR4 mRNA expression of each group. Western blot analysis also obtained the same results. Conclusion:The expression level of CXCL12 in SKOV3 cells of the 1 h CO2 pneumoperitoneum group increased, which possibly promoted the growth of peritoneal tumors, and had a slight effect on tu-mor metastasis.

Objective:To explore the effectiveness and feasibility of the machine learning models based on radiomics in the diagnosis of pituitary prolactin macroadenoma.Methods:Totally 122 histologically proven pituitary macroadenoma patients, including 70 cases of pituitary prolactin macroadenoma (PPM) and 52 cases of non-pituitary prolactin macroadenoma (NPPM), were retrospectively recruited. The differences of age, sex, serum prolactin value, bleeding, cystic degeneration and Knosp classification were compared between PPM and NPPM. The pre-processing, delineation of the region of interest and feature extraction of the preoperative axial contrast-enhanced T 1WI image were performed in the 3Dslicer software. The optimal feature set were selected by least absolute shrinkage and selection operator. All patients were randomly divided into the training group ( n=85) and the test group ( n=37) at a ratio of 7∶3. The models were established in the training group by logistic regression and support vector machine (SVM), and then verified by the test group. ROC curves were drawn respectively, and specificity, sensitivity, accuracy and area under the ROC curve (AUC) were calculated. Results:The age [(38±12) years vs . (43±11) years], gender ratio (male/female 50 cases/20 cases vs . 14 cases/38 cases) and prolactin value [366.00 (117.75, 1 156.25)μg/L vs . 47.25 (32.68, 62.40) μg/L] of patients with PPM and NPPM were statistically different ( P<0.05). The AUC values of logistic regression and SVM in the training group were 0.936 and 0.946, and the AUC values of the test group were 0.768 and 0.774, respectively. The diagnostic accuracy of logistic regression and SVM in the training group were 88.2% and 91.8%, and the accuracy of the test group were 73.0% and 77.8%. Conclusion:The machine learning models based on the radiomics can predict the pituitary prolactin macroadenoma well with a high accuracy.

Objective: To evaluate the therapeutic efficacy of penciclovir combined with foscarnet sodium in the treatment of herpes zoster. Methods: The clinical datas of 135 herpes zoster patients from the ward of Department of Dermatology, Tianjin Medical University General Hospital were collected. Among them 64 patients received penciclovir and foscarnet sodium, and the remaining 71 patients only received penciclovir alone.Their general information, the time for vesicle stopped emerging, rash began to scab, pain to relief obviously, the adverse reaction and if they got the postherpetic neuralgia were recorded and included into statistical analysis. Results: The general information showed no significant differences between the 2 groups(all P>0.05). The time for vesicle stopped emerging, rash began to scab, pain to relief obviously in combination group was shorter than the penciclovir group (all P<0.001). The number of patients who developed postherpetic neuralgia of combination group was fewer than that of penciclovir group(P=0.013). There was no statistical significance between the 2 groups the adverse reaction(P=0.928). Conclusions The penciclovir and foscarnet sodium combination therapy showed rapid therapeutic effects on herpes zoster patients, the incidence of postherpetic neuralgia was low, and there was no more side effects than penciclovir alone therapy. The combined therapy may be a reliable way to treat herpes zoster.

Objective To analyze the influence of drainage volume on prognosis of acute hydrocephalus(AHC)after aneurysmal subarachnoid hemorrhage(aSAH)by continuous lumbar drainage.Methods A retrospective trial was conducted on 82 AHC patients after aSAH admitted to the First Affiliated Hospital of Chongqing Medical University between January 2017 and January 2022.In 6 months after discharge,modified Rankin Scale(mRS)score was used to evaluate the prognostic outcomes.Univariate and multivariate logistic regression analyses were performed on demographic factors,severity of subarachnoid hemorrhage(SAH)at admission,medical history,cerebral vasospasm,and lumbar drainage data.Then a nomogram prediction model was constructed.Results Univariate analysis found that World Federation of Neurosurgical Societies(WFNS)score,Hunt-Hess grade,modified Fisher grade,time for continuous lumbar drainage,shunt dependence,cerebral vasospasm,and drainage volume were factors affecting the prognosis of the patients.Then logistic regression analysis revealed that high WFNS score(OR:3.25,95％CI:1.11～9.48),high modified Fisher grade(OR:3.66,95％CI:1.08～12.35),shunt dependence(OR:15.56,95％CI:1.22～198.57),and cerebral vasospasm(OR:22.24,95％CI:3.08～160.68)were independent predictors for mRS score,while volume of continuous lumbar drainage(OR:0.57,95％CI:0.40～0.82)was an independent protective factor.ROC curve analysis indicated a good predictive performance of the model(AUC=0.898,95％CI:0.935～0.861).Internal validation through Bootstrap method demonstrated excellent discriminatory ability of the model(C-index=0.950,95％CI:0.904～0.996;adjusted C-index:0.934).Conclusion Increased volume of lumbar drainage is an independent protective factor for poor prognosis following aSAH and can improve the prognosis of SAH patients.