Prostaglandin D2(PGD2)is a biologically active substance with important roles in a variety of physiological and pathological processes.PGD2 exerts its biological functions mainly through prostaglandin D2 synthase(PGDS),which is closely related to inflammation and immune regulation.Recent studies have found that PGD2 and its synthase,PGDS,are able to directly inhibit tumor cell proliferation,induce apoptosis,suppress migration and invasion,and further regulate the tumor immune microenvironment to affect the immunotherapy of tumors,demonstrating good tumor therapeutic potential.In this paper,we review the biological properties of PGD2 and its synthase,focusing on its role in the immunotherapy of tumor models.We explore the immunotherapeutic efficacy of PGD2 and its synthase,and their roles in promoting immune cell infiltration in the tumor microenvironment,and discuss their potential as new targets for tumor therapy.

Objective To compare and find an optimal model for predicting the risk of DKD occurrence in patients with type 2 diabetes mellitus(T2DM).Methods A total of 2005 patients with T2DM were enrolled in this study from The Second Hospital of Shijiazhuang City during December 2017 to December 2022.All the subjects were divided into a training set(n=1403)and a validation set(n=602)according to the ratio of 3∶1 by simple random sampling.With the occurrence of DKD as the outcome variablein the training set,important feature variables were screened by LASSO regression.Six different machine learning models were established according to the feature variables,thenthe optimal model was determined by comparison,and anonlinerisk predictor for DKD occurrence was constructed in patients with T2DM.Results Taking the occurrence of DKD as the outcome variable in the training set,the results of LASSO regression analysis showed that the optimal value of the model was 10-fold cross validation lambda.1se=0.01662473,and 15 characteristic variables with nonzero coefficient were screened out to be related to the occurrence of DKD.The data included sex,age,family history of DM,DM duration,LDL-C,HbA1c,WBC,PDW,Scr,urine α1-microglobulin,urine β2-microglobulin,urine microalbumin,hypertension,hypokalemia,and DR.In the training set and validation set,the prediction performance of XGBoost model was better than that of other models(AUC=0.872,0.893,95%CI 0.853～0.891,0.865～0.921),the sensitivity was 0.779,0.863,and the specificity was 0.721,0.758,respectively.The F1 scores were 0.774 and 0.787.DCA analysis showed that the XGBoost model had a greater net benefit and threshold probability.According to the XGBoost model,the online predictor of DKD risk in T2DM patients was laid out,and two patients were selected for application,the results showed that the predictive value of the model was 0.185 in non-DKD patients,and the predictive value was 0.510 in DKD patients.Conclusions The XGBoost model is the best model for predicting the occurrence of DKD in T2DM patients,and an online predictor was successfully built.

Prostaglandin D2(PGD2)is a biologically active substance with important roles in a variety of physiological and pathological processes.PGD2 exerts its biological functions mainly through prostaglandin D2 synthase(PGDS),which is closely related to inflammation and immune regulation.Recent studies have found that PGD2 and its synthase,PGDS,are able to directly inhibit tumor cell proliferation,induce apoptosis,suppress migration and invasion,and further regulate the tumor immune microenvironment to affect the immunotherapy of tumors,demonstrating good tumor therapeutic potential.In this paper,we review the biological properties of PGD2 and its synthase,focusing on its role in the immunotherapy of tumor models.We explore the immunotherapeutic efficacy of PGD2 and its synthase,and their roles in promoting immune cell infiltration in the tumor microenvironment,and discuss their potential as new targets for tumor therapy.

Objective To compare and find an optimal model for predicting the risk of DKD occurrence in patients with type 2 diabetes mellitus(T2DM).Methods A total of 2005 patients with T2DM were enrolled in this study from The Second Hospital of Shijiazhuang City during December 2017 to December 2022.All the subjects were divided into a training set(n=1403)and a validation set(n=602)according to the ratio of 3∶1 by simple random sampling.With the occurrence of DKD as the outcome variablein the training set,important feature variables were screened by LASSO regression.Six different machine learning models were established according to the feature variables,thenthe optimal model was determined by comparison,and anonlinerisk predictor for DKD occurrence was constructed in patients with T2DM.Results Taking the occurrence of DKD as the outcome variable in the training set,the results of LASSO regression analysis showed that the optimal value of the model was 10-fold cross validation lambda.1se=0.01662473,and 15 characteristic variables with nonzero coefficient were screened out to be related to the occurrence of DKD.The data included sex,age,family history of DM,DM duration,LDL-C,HbA1c,WBC,PDW,Scr,urine α1-microglobulin,urine β2-microglobulin,urine microalbumin,hypertension,hypokalemia,and DR.In the training set and validation set,the prediction performance of XGBoost model was better than that of other models(AUC=0.872,0.893,95%CI 0.853～0.891,0.865～0.921),the sensitivity was 0.779,0.863,and the specificity was 0.721,0.758,respectively.The F1 scores were 0.774 and 0.787.DCA analysis showed that the XGBoost model had a greater net benefit and threshold probability.According to the XGBoost model,the online predictor of DKD risk in T2DM patients was laid out,and two patients were selected for application,the results showed that the predictive value of the model was 0.185 in non-DKD patients,and the predictive value was 0.510 in DKD patients.Conclusions The XGBoost model is the best model for predicting the occurrence of DKD in T2DM patients,and an online predictor was successfully built.

Mitophagy is a selective degradation process of damaged mitochondria in response to mitochondrial toxicity,which plays a crucial role in regulating mitochondrial quality and quantity.Abnormal mitophagy can cause or exacerbate mitochondrial dysfunction,which is closely associated with the pathogenesis of numerous diseases.Given that cochlear hair cells are highly sensitive to energy metabolism,proper regulation of mitophagy is essential for maintaining auditory function.Mitochondrial damage resulting from mitophagy dysfunction involves diverse pathophysiological mechanisms underlying sensorineural hearing loss.This review summarizes the latest progress on mitophagy and its role in the pathogenesis of sensorineural hearing loss,aiming to enhance our understanding of the involvement of mitophagy in auditory function and provide a theoretical basis for future research on targeted therapy for mitochondria.

Objective:To investigate the clinicopathological features, treatment-effect assessment and prognosis of SMARCA4-deletion non-small cell lung cancer (NSCLC) that was treated with neoadjuvant therapy.Methods:Eleven consecutive cases of SMARCA4-deletion NSCLC treated with neoadjuvant therapy in Guangdong Provincial People′s Hospital, Guangzhou, China from January 2007 to October 2024 were collected. Their clinicopathological features, pathological assessment of treatment effect, and prognosis were retrospectively analyzed.Results:All the 11 patients were male. Their median age at diagnosis was 56 (49,64) years. Nine patients were smokers (9/11). Ten patients received neoadjuvant chemoimmunotherapy, and one received neoadjuvant targeted therapy. Eleven biopsy samples showed SMARCA4 complete loss, including 7 cases of invasive non-mucinous adenocarcinoma, 1 case of invasive mucinous adenocarcinoma, 1 case of non-keratinizing squamous cell carcinoma, and 2 cases of NSCLC, not otherwise specified. The histological response to neoadjuvant therapy in resected specimens varied, including tumor necrosis, foam cell aggregation, cholesterol clefts, immune cell infiltrates, reactive granulomas, and stromal fibrosis. Three cases of the primary lesion achieved major pathological response (MPR), and 2 cases achieved complete pathological response (CPR). The MPR rate of neoadjuvant chemoimmunotherapy was 3/10 while its CPR ratio was 2/10. Of the 9 resected specimens that did not achieve CPR, 5 showed a post-treatment histological type different from the pre-treatment one. Eight tumors showed complete SMARCA4 loss, while 1 showed heterogeneous expression. Of the 11 biopsy specimens examined using next generation sequencing, 9 cases showed class 1 SMARCA4 mutations (including 7 nonsense mutations and 2 acquired nonsense mutations), and 2 cases showed wild-type SMARCA4. Taking immunohistochemistry as the gold standard, the sensitivity of next generation sequencing for the detection of SMARCA4-deletion NSCLC was 9/11. After follow-up of 6.9 to 46.6 months, five patients experienced postoperative recurrence, and 6 patients were disease free. The disease-free survival ranged from 0.7 to 27.5 months (median, 7.6 months).Conclusions:The surgical specimens of SMARCA4-deletion NSCLC with neoadjuvant therapy show varying degrees of treatment response. The tumor components sensitive to chemoimmunotherapy and targeted therapy are mostly adenocarcinoma and squamous cell carcinoma, while large cell carcinoma, spindle cell carcinoma and giant cell carcinoma are relatively less sensitive to treatment. Assessment of MPR and CPR suggests that some NSCLC patients with SMARCA4-deletion can benefit from neoadjuvant therapy.

Objective:To investigate the clinicopathological features, treatment-effect assessment and prognosis of SMARCA4-deletion non-small cell lung cancer (NSCLC) that was treated with neoadjuvant therapy.Methods:Eleven consecutive cases of SMARCA4-deletion NSCLC treated with neoadjuvant therapy in Guangdong Provincial People′s Hospital, Guangzhou, China from January 2007 to October 2024 were collected. Their clinicopathological features, pathological assessment of treatment effect, and prognosis were retrospectively analyzed.Results:All the 11 patients were male. Their median age at diagnosis was 56 (49,64) years. Nine patients were smokers (9/11). Ten patients received neoadjuvant chemoimmunotherapy, and one received neoadjuvant targeted therapy. Eleven biopsy samples showed SMARCA4 complete loss, including 7 cases of invasive non-mucinous adenocarcinoma, 1 case of invasive mucinous adenocarcinoma, 1 case of non-keratinizing squamous cell carcinoma, and 2 cases of NSCLC, not otherwise specified. The histological response to neoadjuvant therapy in resected specimens varied, including tumor necrosis, foam cell aggregation, cholesterol clefts, immune cell infiltrates, reactive granulomas, and stromal fibrosis. Three cases of the primary lesion achieved major pathological response (MPR), and 2 cases achieved complete pathological response (CPR). The MPR rate of neoadjuvant chemoimmunotherapy was 3/10 while its CPR ratio was 2/10. Of the 9 resected specimens that did not achieve CPR, 5 showed a post-treatment histological type different from the pre-treatment one. Eight tumors showed complete SMARCA4 loss, while 1 showed heterogeneous expression. Of the 11 biopsy specimens examined using next generation sequencing, 9 cases showed class 1 SMARCA4 mutations (including 7 nonsense mutations and 2 acquired nonsense mutations), and 2 cases showed wild-type SMARCA4. Taking immunohistochemistry as the gold standard, the sensitivity of next generation sequencing for the detection of SMARCA4-deletion NSCLC was 9/11. After follow-up of 6.9 to 46.6 months, five patients experienced postoperative recurrence, and 6 patients were disease free. The disease-free survival ranged from 0.7 to 27.5 months (median, 7.6 months).Conclusions:The surgical specimens of SMARCA4-deletion NSCLC with neoadjuvant therapy show varying degrees of treatment response. The tumor components sensitive to chemoimmunotherapy and targeted therapy are mostly adenocarcinoma and squamous cell carcinoma, while large cell carcinoma, spindle cell carcinoma and giant cell carcinoma are relatively less sensitive to treatment. Assessment of MPR and CPR suggests that some NSCLC patients with SMARCA4-deletion can benefit from neoadjuvant therapy.

OBJECTIVE To conduct qualitative analysis of chemical constituents in the crude extract of Modified Ermiao Formu-la,along with its blood-absorbed components and metabolites in rats post-administration employing ultra-performance liquid chroma-tography coupled with quadrupole-exactive orbitrap tandem mass spectrometry(UPLC-Q-Exactive Orbitrap-MS/MS).METHODS Separation was performed on a Waters HSS T3 column(100 mm×2.1 mm,1.8 μm)using gradient elution with 0.1%formic acid in water(mobile phase A)and 0.1%formic acid in acetonitrile(mobile phase B),under controlled conditions:column temperature maintained at 40℃,flow rate set to 0.3 mL·min-1,and injection volume fixed at 2 μL.Mass spectrometric data acquisition utilized an electrospray ionization(ESI)source with scanning in both positive and negative ion modes.RESULTS By analyzing precise mo-lecular weights,retention times,and MS/MS fragmentation patterns,and cross-referencing these against established databases and published literature,173 chemical constituents were definitively identified in the Modified Ermiao Formula crude extract.These prima-rily comprised flavonoids,organic acids,and alkaloids.Additionally,32 prototype components and 13 metabolites were characterized in the serum of dosed rats.Organic acids constituted the predominant class of serum prototype components,undergoing in vivo metabo-lism principally through demethylation and carboxyl glucuronidation.CONCLUSION This study provides the initial delineation of blood-absorbed prototype components derived from Modified Ermiao Formula,with concomitant identification of their metabolites,thereby establishing a foundational framework for elucidating the pharmacologically active constituents of this formula.

Objective To explore the mediating role of mindful attention and awareness in depressive symptoms and insomnia severity among patients with comorbid depression and insomnia.Methods A cross-sectional study was conducted,enrolling 267 patients with comorbid depression and insomnia who were treated in the outpatient Department of Medical Psychology of Second Affiliated Hospital of Army Medical University,from March to May 2024.Basic demographic and clinical data were collected using a general information questionnaire.Depressive symptom severity was measured via the Patient Health Questionnaire-9(PHQ-9),insomnia severity via the Insomnia Severity Index(ISI),perceived stress via the Perceived Stress Scale-10(PSS-10),and mindful attention and awareness via the Mindful Attention Awareness Scale(MAAS).Pearson correlation analysis was used to examine the correlations between depressive severity,insomnia severity,perceived stress,and mindful attention and awareness.Mediation analysis was performed using Process 4.1.Results The PHQ-9 score was(13.80±5.98)and the ISI score was(17.10±5.56)in the 267 patients.Pearson correlation analysis showed that depressive severity and insomnia severity were positively correlated with perceived stress(r=0.531,0.351,P<0.001)and negatively correlated with mindful attention and awareness(r=-0.373,-0.350,P<0.001).Mediation analysis using Process 4.1 indicated that the combined mediating effect of mindful attention and awareness and insomnia between perceived stress level and depressive level was 0.157,with a 95%confidence interval(CI)of 0.102～0.217,and the total mediating effect was significant(P<0.001).Conclusion Perceived stress directly positively affects depression and indirectly exacerbates depression through insomnia as a mediator,and mindful attention and awareness can weaken the promoting effect of perceived stress on insomnia.

OBJECTIVES: To study the molecular mechanisms of LDH-loaded si-NEAT1 for regulating paclitaxel resistance and tumor-associated macrophage (TAM) polarization in breast cancer. METHODS: qRT-PCR and Western blotting were used to detect the expression of lncRNA NEAT1, miR-133b, and PD-L1 in breast cancer SKBR3 cells and paclitaxel-resistant SKBR3 cells (SKBR3-PR). The effects of transfection with si-NEAT1 and miR-133b mimics on MRP, MCRP and PD-L1 expressions and cell proliferation, migration and apoptosis were investigated using qRT-PCR, Western blotting, scratch and Transwell assays, and flow cytometry. Rescue experiments were conducted using si-NEAT1 and miR-133b inhibitor. Human THP-1 macrophages were cultured in the presence of conditioned media (CM) derived from SKBR3 and SKBR3-PR cells with or with si-NEAT1 transfection for comparison of IL-4-induced macrophage polarization by detecting the surface markers. LDH@si-NEAT1 nanocarriers were constructed, and their effects on MRP, MCRP and PD-L1 expressions and cell behaviors of the tumor cells were examined. THP-1 cells were treated with the CM from LDH@si-NEAT1-treated tumor cells, and the changes in their polarization were assessed. RESULTS: SKBR3-PR cells showered significantly upregulated NEAT1 and PD-L1 expressions and lowered miR-133b expression as compared with their parental cells. Transfection with si-NEAT1 and miR-133b mimics inhibited viability, promoted apoptosis and enhanced MRP and BCRP expressions in SKBR3-PR cells. NEAT1 knockdown obvious upregulated miR-133b and downregulated PD-L1, MRP and BCRP expressions. The CM from SKBR3-PR cells obviously promoted M2 polarization of THP-1 macrophages, which was significantly inhibited by CM from si-NEAT1-transfected cells. Treatment with LDH@si-NEAT1 effectively inhibited migration and invasion, promoted apoptosis, and reduced MRP, BCRP and PD-L1 expressions in the tumor cells. The CM from LDH@si-NEAT1-treated SKBR3-PR cells significantly downregulated Arg-1, CD163, IL-10, and PD-L1 and upregulated miR-133b expression in THP-1 macrophages. CONCLUSIONS LDH@si-NEAT1 reduces paclitaxel resistance of breast cancer cells and inhibits TAM polarization by targeting the miR-133b/PD-L1 axis.
Humans ; MicroRNAs/genetics* ; RNA, Long Noncoding/genetics* ; Paclitaxel/pharmacology* ; Breast Neoplasms/metabolism* ; Drug Resistance, Neoplasm ; B7-H1 Antigen/metabolism* ; Cell Line, Tumor ; Female ; Tumor-Associated Macrophages ; Apoptosis ; Cell Proliferation ; Macrophages ; Cell Movement