AIM: To investigate and analyze serum nitric oxide synthase 4(NOX4)and matrix metalloproteinase(MMP)-2 expressions in patients with diabetes mellitus(DM)complicated with neovascular glaucoma(NVG)and their clinical significance.METHODS: A prospective study was conducted on 161 patients with DM complicated with NVG admitted to Handan City Eye Hospital(The Third Hospital of Handan)from June 2020 to June 2023. Based on whether complications occurred 1 a after trabeculectomy in the study group patients, they were divided into a group with good prognosis(n=90)and a group with poor prognosis(n=71). During the same period, 161 patients with chronic angle-closure glaucoma without iris neovascularization were selected as the control group. ELISA method was applied to detect the expression levels of serum NOX4 and MMP-2. ROC curve was plotted to evaluate the diagnostic value and postoperative complication prediction value of NOX4 and MMP-2 in patients with DM complicated with NVG. Pearson method was applied to analyze the correlation of NOX4 and MMP-2 with vascular endothelial growth factor(VEGF)and interleukin-6(IL-6). Multivariate Logistic regression was applied to analyze the influencing factors of postoperative complications in the study group.RESULTS:The general information of the study group and control group of patients is comparable. Compared with the control group, the expression levels of serum NOX4, MMP-2, VEGF, and IL-6 in the study group were significantly increased(P<0.001). According to Pearson analysis, serum NOX4 and MMP-2 levels significantly positively correlated with VEGF and IL-6 levels, respectively(P<0.001). According to ROC curve, the AUC of NOX4 combined with MMP-2 in the diagnosis of DM complicated with NVG was better than that of individual diagnosis of NOX4(Z=3.341, P<0.05)and MMP-2(Z=2.788, P<0.05). The duration of DM, the proportion of people with intraocular pressure >21 mmHg, and the expression levels of NOX4, MMP-2, VEGF, and IL-6 in the poor prognosis group were all higher than those in the good prognosis group(P<0.001). The duration of DM, intraocular pressure >21 mmHg, the levels of NOX4, MMP-2, VEGF, and IL-6 were all risk factors for poor prognosis in DM patients with NVG(P<0.001). According to ROC curve, the combined prediction of NOX4 and MMP-2 for postoperative complications in patients with DM complicated by NVG was superior to the AUC predicted by NOX4(Z=3.727, P<0.05)and MMP-2(Z=2.219, P<0.05), respectively.CONCLUSION:NOX4 and MMP-2 are upregulated in the serum of patients with DM complicated by NVG. Combined detection of these two markers holds significant clinical value for the early diagnosis and prognosis of patients with DM complicated by NVG.

Objective To summarize the clinicopathological characteristics,diagnostic and therapeutic process and aeromedical evaluation of 17 cases of thyroid cancer in Chinese military pilots in order to provide a reference for the diagnosis and treatment of disease and aeromedical evaluation of patients with thyroid cancer in military pilots in the future.Methods A retrospective analysis was conducted on the clinicopathological characteristics,treatment methods and aerospace medical evaluation conclusions of 17 military pilots with thyroid cancer who were hospitalized and underwent diagnosis,treatment and aeromedical evaluation at the Department of Aviation Medicine of Xijing Hospital from March 2021 to March 2025.Results All 17 pilots with thyroid cancer were male,and the age of onset ranged from 22 to 51 years old(with a median age of 40 years old).All patients underwent fine-needle aspiration biopsy of thyroid nodules or enlarged cervical lymph nodes before the operation.The postoperative pathological types were all papillary thyroid carcinoma.Among them,16 cases were papillary thyroid microcarcinoma,9 cases were combined with regional lymph node metastasis,and 1 case with postoperative complications of Horner's syndrome recovered after treatmentwas.14 patients underwent unilateral glandular lobe and isthectomy of the thyroid,3 patients underwent total/near-total thyroidectomy,2 patients received radioactive 131I treatment after the operation,and 17 patients received thyroid stimulating hormone(TSH)suppression therapy after the operation.After aerospace medical evaluation,15 cases were qualified for flight duties,the observation time was 3 to 6 months(with an average observation time of 4.2 months),1 case reached the age limit,and 1 case was temporarily unqualified for failure to achieve TSH suppression.After 0.5 to 4.0 years of follow-up,no patient showed signs of recurrence or metastasis.Conclusion For thyroid cancer in military pilots,universal screeningprotocols and earlydetection,as well as standardized therapeutic regimensshould be carried out.Evidence-based aeromedical evaluations and long-term monitoring should be conducted based on the aircraft type,jobs,and flight experience to preserve military combat effectiveness to the greatest extent.

An overview of the application of association rule mining(ARM)in real-world study(RWD)on drug safety to inform pharmacovigilance real-world data analysis.The applications of ARM in RWD of drug safety were divided into single drug/vaccine signal detection,combined medication risk mining,multidimensional risk factor analysis and adverse drug event occurrence characterization based on passive monitoring data;medication characterization pattern analysis,auxiliary epidemiological study design and risk mining of the whole dataset based on active monitoring data.In general,foreign scholars pay more attention to method rule setting,performance evaluation and application research,while domestic scholars pay more attention to multidimensional risk factor analysis,adverse drug event occurrence pattern,and clinical drug use characteristics research.With the accumulation of medical data and the continuous development of data mining technology,ARM may provide new ideas for RWD on drug safety.

Objective:To review the application of internet cognitive behavioral therapy (CBT) in perinatal women with negative emotions, point out the limitations of existing studies, and put forward development suggestions for future research.Methods:Using the Scope review guide published by Joanna Briggs Institute as the methodological framework, eight Chinese and English databases including China National Knowledge Infrastructure (CNKI), Wanfang, PubMed and Web of Science were searched until July 1, 2024, and the literatures were collected and analyzed.Results:A total of 18 literatures were included. The interventionists of internet cognitive behavioral therapy were mostly psychologists; the intervention methods were mostly in the form of partial participation of therapists, and the intervention platforms were mostly websites. The intervention content was centered on mental health education, emotional monitoring, cognitive reconstruction, behavioral activation training, and problem solving. There were 15 studies that demonstrated that internet cognitive behavioral therapy was effective, and three studies showed that internet cognitive behavioral therapy was not effective in improving negative emotions in perinatal women, but perinatal women responded to treatment.Conclusions:The Internet cognitive behavioral therapy can effectively improve the negative emotions of perinatal pregnant women, but the long-term effect is not clear. Future studies can expand the sample size and follow up the effect for a long time.

Objective:To review the application of internet cognitive behavioral therapy (CBT) in perinatal women with negative emotions, point out the limitations of existing studies, and put forward development suggestions for future research.Methods:Using the Scope review guide published by Joanna Briggs Institute as the methodological framework, eight Chinese and English databases including China National Knowledge Infrastructure (CNKI), Wanfang, PubMed and Web of Science were searched until July 1, 2024, and the literatures were collected and analyzed.Results:A total of 18 literatures were included. The interventionists of internet cognitive behavioral therapy were mostly psychologists; the intervention methods were mostly in the form of partial participation of therapists, and the intervention platforms were mostly websites. The intervention content was centered on mental health education, emotional monitoring, cognitive reconstruction, behavioral activation training, and problem solving. There were 15 studies that demonstrated that internet cognitive behavioral therapy was effective, and three studies showed that internet cognitive behavioral therapy was not effective in improving negative emotions in perinatal women, but perinatal women responded to treatment.Conclusions:The Internet cognitive behavioral therapy can effectively improve the negative emotions of perinatal pregnant women, but the long-term effect is not clear. Future studies can expand the sample size and follow up the effect for a long time.

Objective To develop a nomogram diagnostic model to differentiate peripheral small cell lung cancer(PSCLC)from peripheral lung adenocarcinoma(PADC)using clinical and multi spiral computed tomography features.Methods A retrospective analysis was conducted on the CT characteristics and clinical presentations of 50 PSCLC and 100 PADC.Univariate and multivariate logistic regression analyses were employed to identify significant features.A nomogram was constructed to quantify the influencing factors.The efficacy and clinical applicability of the model were assessed using the receiver operating characteristic(ROC)curve,calibration curve,and decision curve analysis(DCA).Results Smoking,neuron-specific enolase(NSE),smooth margin,spindle/branching shape,and lymphadenopathy were independent risk factors for PSCLC(P＜0.05),whereas rough margin and lobulation sign were independent risk factors for PADC(P＜0.05).The nomogram model demonstrated high diagnostic efficacy,and the calibration curve exhibited a good degree of calibration(Brier=0.079).The DCA indicated that the nomogram model possesses substantial clinical utility.Conclusion The nomogram model developed based on six indicators,including smoking,NSE≥17 ng/mL,margin characteristics,spindle/branching shape,lobulation sign,and lymphadenopathy can well distinguish PSCLC from PADC.

Objective To develop a nomogram diagnostic model to differentiate peripheral small cell lung cancer(PSCLC)from peripheral lung adenocarcinoma(PADC)using clinical and multi spiral computed tomography features.Methods A retrospective analysis was conducted on the CT characteristics and clinical presentations of 50 PSCLC and 100 PADC.Univariate and multivariate logistic regression analyses were employed to identify significant features.A nomogram was constructed to quantify the influencing factors.The efficacy and clinical applicability of the model were assessed using the receiver operating characteristic(ROC)curve,calibration curve,and decision curve analysis(DCA).Results Smoking,neuron-specific enolase(NSE),smooth margin,spindle/branching shape,and lymphadenopathy were independent risk factors for PSCLC(P＜0.05),whereas rough margin and lobulation sign were independent risk factors for PADC(P＜0.05).The nomogram model demonstrated high diagnostic efficacy,and the calibration curve exhibited a good degree of calibration(Brier=0.079).The DCA indicated that the nomogram model possesses substantial clinical utility.Conclusion The nomogram model developed based on six indicators,including smoking,NSE≥17 ng/mL,margin characteristics,spindle/branching shape,lobulation sign,and lymphadenopathy can well distinguish PSCLC from PADC.

An overview of the application of association rule mining(ARM)in real-world study(RWD)on drug safety to inform pharmacovigilance real-world data analysis.The applications of ARM in RWD of drug safety were divided into single drug/vaccine signal detection,combined medication risk mining,multidimensional risk factor analysis and adverse drug event occurrence characterization based on passive monitoring data;medication characterization pattern analysis,auxiliary epidemiological study design and risk mining of the whole dataset based on active monitoring data.In general,foreign scholars pay more attention to method rule setting,performance evaluation and application research,while domestic scholars pay more attention to multidimensional risk factor analysis,adverse drug event occurrence pattern,and clinical drug use characteristics research.With the accumulation of medical data and the continuous development of data mining technology,ARM may provide new ideas for RWD on drug safety.

Objective:To predict the mechanism of Panacis Quinquefolii Radix- Acori Tatarinowii Rhizoma (PQ-AT) in the treatment of diabetes encephalopathy (DE) using network pharmacology combined with molecular docking; To conduct experimental verification.Methods:The active components and targets of PQ and AT were screened by TCMSP database. The GeneCards and Disgenet were used to collect DE related target genes. String database and Cytoscape software were used to structure PPI network and perform visualization analysis. The common targets were imported into Metascape platform for GO annotation and KEGG enrichment analysis. Molecular docking was used to verify the binding ability of active components to core targets. Rats were randomly divided into a blank group, a model group, and a low-dose group of PQ-AT (1.08 g/kg), a high-dose group of PQ-AT (2.16 g/kg), and a metformin group (0.18 g/kg) using a random number table. To establish the rat model of diabetes encephalopathy, intraperitoneal injection of streptozotocin was used in addition to the blank group. After a 12-week drug intervention, TNF-α and Cyclooxygenase-2 (PTGS2) protein expression in the cerebral cortex of rats was detected using Western blot.Results:A total of 26 active components in PQ-AT and 107 related targets of DE were obtained, mainly including TNF, JUN, and PTSG2, which were mainly concentrated in TNF signaling pathway, cancer and other signal pathways. Molecular docking showed that the main active components of PQ-AT had relatively stable binding activity with TNF-α and PTGS2. Western blot results shows that compared with the model group, the expressions of PTGS2 and TNF-α significantly decreased in each administration group ( P<0.05 or P<0.01). Conclusion:PQ-AT can act on TNF, CASP3, JUN, STAT3, PTGS2 and other core targets to regulate signal pathways such as TNF, and inhibit inflammatory reaction to achieve the effect of treating DE.

Sphingomyelin phosphodiesterase 3 (SMPD3) encodes neutral sphingomyelinase 2 (nSMase2), which plays an important role in tumor development as a key enzyme regulating cell growth variation and inducing apoptosis with the important messenger molecule ceramide. On one hand, the common epigenetic alteration of SMPD3 methylation mediates carcinogenesis through the disruption of gene expression by regulating cell proliferation, differentiation, and apoptosis. Meanwhile, SMPD3 also induces apoptosis and cell cycle arrest in tumor cells through its hydrolysis products. On the other hand, SMPD3 is also closely related to pro-cancer processes such as exosome secretion, inflammatory response, and tumor cell proliferation. In this paper, the biological action of SMPD3 in tumor diseases was reviewed to enhance the understanding of the role of SMPD3 in the development of different tumors and provide broader ideas for basic research and clinical diagnosis and treatment of tumor diseases.