BACKGROUND: The transcription factor POU2F1 regulates the expression levels of microRNAs in neoplasia. However, the miR-29b1/a cluster modulated by POU2F1 in gastric cancer (GC) remains unknown. METHODS: Gene expression in GC cells was evaluated using reverse-transcription polymerase chain reaction (PCR), western blotting, immunohistochemistry, and RNA in situ hybridization. Co-immunoprecipitation was performed to evaluate protein interactions. Transwell migration and invasion assays were performed to investigate the biological behavior of GC cells. MiR-29b1/a cluster promoter analysis and luciferase activity assay for the 3'-UTR study were performed in GC cells. In vivo tumor metastasis was evaluated in nude mice. RESULTS: POU2F1 is overexpressed in GC cell lines and binds to the miR-29b1/a cluster promoter. POU2F1 is upregulated, whereas mature miR-29b-3p and miR-29a-3p are downregulated in GC tissues. POU2F1 promotes GC metastasis by inhibiting miR-29b-3p or miR-29a-3p expression in vitro and in vivo . Furthermore, PIK3R1 and/or PIK3R3 are direct targets of miR-29b-3p and/or miR-29a-3p , and the ectopic expression of PIK3R1 or PIK3R3 reverses the suppressive effect of mature miR-29b-3p and/or miR-29a-3p on GC cell metastasis and invasion. Additionally, the interaction of PIK3R1 with PIK3R3 promotes migration and invasion, and miR-29b-3p , miR-29a-3p , PIK3R1 , and PIK3R3 regulate migration and invasion via the phosphatidylinositol 3-kinase/protein kinase B/mammalian target of rapamycin (PI3K/Akt/mTOR) pathway in GC cells. In addition, POU2F1 , PIK3R1 , and PIK3R3 expression levels negatively correlated with miR-29b-3p and miR-29a-3p expression levels in GC tissue samples. CONCLUSIONS The POU2F1 - miR-29b-3p / miR-29a-3p-PIK3R1 / PIK3R1 signaling axis regulates tumor progression and may be a promising therapeutic target for GC.
MicroRNAs/metabolism* ; Humans ; Stomach Neoplasms/pathology* ; Cell Line, Tumor ; Cell Movement/physiology* ; Phosphatidylinositol 3-Kinases/metabolism* ; Animals ; Mice ; Octamer Transcription Factor-1/metabolism* ; Mice, Nude ; Class Ia Phosphatidylinositol 3-Kinase/metabolism* ; Neoplasm Invasiveness ; Gene Expression Regulation, Neoplastic/genetics* ; Male ; Immunohistochemistry ; Female

Objective:To explore the psychological experience of reproductive concerns in female patients of childbearing age with systemic lupus erythematosus (SLE), and to provide evidence for formulating targeted intervention measures.Methods:From April to May 2024, phenomenological research methods of qualitative study and purposive sampling were used to conduct semi-structured interviews with 13 female SLE patients of childbearing age who were outpatient or hospitalized in the Third Affiliated Hospital of Southern Medical University. Colaizzi′s seven-step method was used for data analysis.Results:A total of 13 female patients of childbearing age with SLE were interviewed, aged 21-36 (27.08 ± 3.88) years. Six themes were identified: concerns about fertility, concerns about one′s own health, concerns about the safety of the offspring, concerns about unmet fertility information, the need for positive emotional transmission, negative psychological experience caused by childbearing related problems ( inferiority and depression caused by difficulty in maintaining intimate relationships, anxiety and guilt caused by reproductive pressure, pain and panic caused by failure reproductive experience, and restlessness and anxiety caused by the burden of reproductive costs).Conclusions:Female patients of childbearing age with SLE have many concerns about fertility issues. Medical staff should pay attention to the psychological experience related to fertility among female patients of childbearing age with SLE, and give targeted scientific and effective intervention to alleviate the negative psychological experience of patients with reproductive.

Objective:To develop and validate a predictive model for massive hemorrhage during brain tumor resection in pediatric patients.Methods:A retrospective analysis was performed on the clinical data from pediatric patients who underwent elective brain tumor resection under general anesthesia at the Women and Children′s Medical Center Affiliated to Guangzhou Medical University from December 2016 to October 2023. The patients were randomly divided into model group and internal validation group in a ratio of 8∶2. Pediatric patients who underwent elective brain tumor resection under general anesthesia at Qilu Hospital of Shandong University from January 2021 to July 2024 were selected and served as external validation group. Relevant characteristic variables were screened through Lasso regression. A multivariate logistic regression was used to develop the model and plot the nomogram for intraoperative massive hemorrhage. The performance of the model was evaluated using the area under the receiver operating characteristic curve and calibration curve.Results:Through Lasso regression and multivariate logistic regression analyses, 11 independent influencing factors were identified: age ( OR=0.323, 95% confidence interval [ CI]: 0.280-0.374, P<0.001), weight ( OR=0.164, 95% CI: 0.135-0.199, P<0.001), activated partial thromboplastin time ( OR=1.133, 95% CI: 1.036-1.239, P=0.006), thrombin time ( OR=1.141, 95% CI: 1.048-1.243, P=0.002), red blood cell count ( OR=0.941, 95% CI: 0.888-0.996, P=0.035), hemoglobin concentration ( OR=0.873, 95% CI: 0.822-0.926, P<0.001), platelet count ( OR=1.062, 95% CI: 1.001-1.127, P=0.048), maximum tumor diameter ( OR=2.384, 95% CI: 2.241-2.536, P<0.001), tumor invasiveness ( OR=2.376, 95% CI: 2.071-2.726, P<0.001), hydrocephalus ( OR=2.409, 95% CI: 2.139-2.713, P<0.001), and centered midline structure ( OR=0.509, 95% CI: 0.465-0.557, P<0.001). Based on this, a nomogram prediction model was established. The receiver operating characteristic curve showed that the area under the curve of this model in predicting the risk of massive hemorrhage during brain tumor resection was 0.936 (95% CI: 0.90-0.959) in model group, 0.863 (95% CI: 0.744-0.948) in internal validation group, and 0.855 (95% CI: 0.726-0.955) in external validation group. The calibration curve indicated good model consistency, and the Hosmer-Lemeshow goodness-of-fit test result showed a P value of 0.979 ( P>0.05). Conclusions:Age, body weight, activated partial thromboplastin time, thrombin time, red blood cell count, hemoglobin concentration, platelet count, maximum tumor diameter, tumor invasiveness, hydrocephalus and midline structure are independent influencing factors for major bleeding during brain tumor resection in pediatric patients, and the prediction model established based on this histogram has high accuracy.

Objective:To evaluate the safety and effectiveness of fuzuloparib for the treatment of ovarian epithelial cancer patients in the real world setting.Methods:A retrospective analysis was conducted on the baseline data of 4 620 ovarian cancer patients who had received fuzuloparib monotherapy or combination therapy. Another 224 ovarian cancer patients who were willing to receive fuzuloparib monotherapy or combination therapy were prospectively enrolled, and their baseline characteristics, drug effectiveness, and safety data were analyzed.Results:(1) Among the 4 620 patients in the retrospective cohort, the median age of patients was 60 years; tumor types: 89.8% (4 149/4 620) had ovarian cancer. Among patients with clearly documented information, the vast majority had a histological type of serous carcinoma (82.9%, 3 770/4 546) and International Federation of Gynecology and Obstetrics (FIGO) staging of Ⅲ-Ⅳ (90.9%, 1 537/1 691). (2) Among the 224 patients in the prospective cohort, the median age of patients was 57 years; tumor types: 83.9% (188/224) had ovarian cancer. Among patients with clearly documented records, the predominant pathologic type was serous carcinoma (91.9%, 193/210), and FIGO stage was Ⅲ-Ⅳ in 79.9% (139/174). (3) Among the 224 prospective patients: 84 patients received first-line fluzoparib maintenance therapy, 92 patients received fluzoparib maintenance therapy after platinum-sensitive recurrence, 23 patients received direct fluzoparib treatment after platinum-sensitive recurrence, 19 patients received direct fluzoparib treatment after platinum-resistant recurrence. The median follow-up durations were 8.5, 8.7, 7.9, and 6.7 months, respectively. The median durations of fluzoparib treatment were 6.7, 4.8, 3.1, and 1.9 months, respectively. The median progression-free survival (PFS) times were not reached during follow-up, 12.6 months, not reached during follow-up, and 4.8 months, respectively. The 1-year PFS rates were 84.1%, 55.0%, 69.8%, and 45.5%, respectively. The remaining 6 patients received other fluzoparib regimens. (4) Among the 224 patients in the prospective dataset, 205 had safety data recorded. Of these, 127 patients (62.0%, 127/205) experienced treatment-related adverse events, with common events including anemia (24.4%, 50/205), thrombocytopenia (21.0%, 43/205), and leukopenia (19.5%, 40/205). Among the 205 patients, 43 (21.0%, 43/205) experienced grade 3 or higher treatment-related adverse events, with common events including anemia (8.3%, 17/205) and thrombocytopenia (8.3%, 17/205).Conclusions:The effectiveness of fuzuloparib in clinical application is generally consistent with other drugs in the same class, with good safety. This study provids new clinical evidence for the treatment of ovarian cancer with fuzuloparib.

Objective:To analyze the current development status and spatial distribution characteristics of traditional Chinese medicine (TCM) hospitals in China, predict the changing trends of the number of TCM hospitals, the number of beds, and the number of physicians, and provide references for the development of TCM hospitals and the formulation of related policies.Methods:From the official websites of the National Bureau of Statistics and the State Administration of Traditional Chinese Medicine, the total population and number of TCM hospitals of 31 provinces (excluding China′s Hong Kong, Macao, and Taiwan) in China from 2013 to 2022 were included, as well as the number of beds and practicing (assistant) physicians in TCM hospitals from 2013 to 2021. The grey prediction model was applied to predict the changing trends of the number of TCM hospitals, beds and physicians. Using the global Moran′s I index in spatial autocorrelation analysis, the distribution of TCM hospitals per 10 000 people in China was analyzed by spatial correlation analysis, and local G coefficient was analyzed by local hot spots.Results:From 2013 to 2027, the number of TCM hospitals, beds and practicing (assistant) TCM physicians in China all showed an increasing trend year by year. The number of TCM hospitals per 10 000 people in China showed a spatial correlation between 2013 and 2022 ( P<0.05). The hot spots of TCM hospitals were mainly concentrated in North China and Northeast China, while the cold spots were mainly concentrated in southeast coastal areas and Northwest China. Conclusions:The number of TCM hospitals in China is increasing year by year, but it is necessary to control the reasonable increase and avoid blind expansion. It is necessary to formulate regional policies of TCM hospitals according to local conditions and pay attention to the individuation of policies. Focus on hot and cold areas to promote balanced development of TCM hospitals.

Objective:To establish a mass spectrometry method for the determination of characteristic peptides of Galli Gigerii Endothelium Corneum that can identify the authenticity of Galli Gigerii Endothelium Corneum as well as its preparations; To evaluate their quality.Methods:Ultra performance chromatography-electrospray tandem mass spectrometry (UPLC-MS/MS) with the mode of multiple reaction monitoring quantification (MRM) was employed to monitor the ion pairs of m/z 379.21(charge: +2)→571.36, m/z 379.21(charge: +2)→385.26, m/z 785.41(charge: +2)→941.51 and m/z 785.41(charge: +2)→245.08, in order to detect the Galli Gigerii Endothelium Corneum crude drug and its preparations. Results:Chicken specific peptide I and chicken specific peptide Ⅱ could be detected in the 18 batches of Galli Gigerii Endothelium Corneum from different regions, their corresponding extractions and 4 batches of prescription preparations, while the chicken specific peptides were not detected in the 8 batches of endothelium corneums from ducks, geese and pigeons.Conclusions:The method established in this study can effectively supplement the deficiencies in standards of Galli Gigerii Endothelium Corneum and its decoction pieces, improve the quality control standard, and provide a reference for the safety and effectiveness of Galli Gigerii Endothelium Corneum in clinical medication.

OBJECTIVE To investigate the effect and mechanism of Jingangteng capsules in the treatment of non-alcoholic fatty liver disease （NAFLD）. METHODS Thirty-two SD rats were randomly divided into normal group and modeling group. The modeling group was fed a high-fat diet to establish a NAFLD model. The successfully modeled rats were then randomly divided into model group， atorvastatin group[positive control， 2 mg/（kg·d）]， and Jingangteng capsules low- and high-dose groups [0.63 and 2.52 mg/（kg·d）]， with 6 rats in each group. The pathological changes of the liver were observed by hematoxylin-eosin staining and oil red O staining. Enzyme-linked immunosorbent assay was performed to determine the serum levels of triglycerides （TG）， total cholesterol （TC）， high-density lipoprotein cholesterol （HDL-C）， low-density lipoprotein cholesterol （LDL-C）， alanine transaminase （ALT）， aspartate transaminase （AST）， tumour necrosis factor-α （TNF-α）， interleukin-1β （IL-1β）， IL-6， IL-18. 16S rDNA amplicon sequencing and metabolomics techniques were applied to explore the effects of Jingangteng capsules on gut microbiota and metabolisms in NAFLD rats. Based on the E-mail：591146765@qq.com metabolomics results， Western blot analysis was performed to detect proteins related to the nuclear factor kappa-B （NF-κB）/NOD-like receptor family protein 3 （NLRP3） signaling pathway in the livers of NAFLD rats. RESULTS The experimental results showed that Jingangteng capsules could significantly reduce the serum levels of TG， TC， LDL-C， AST， ALT， TNF-α， IL-1β， IL-6， IL-18， while increased the level of HDL-C， and alleviated the hepatic cellular steatosis and inflammatory infiltration in NAFLD rats. They could regulate the gut microbiota disorders in NAFLD rats， significantly increased the relative abundance of Romboutsia and Oscillospira， and significantly decreased the relative abundance of Blautia （P＜0.05）. They also regulated metabolic disorders primarily by affecting secondary bile acid biosynthesis， fatty acid degradation， O-antigen nucleotide sugar biosynthesis， etc. Results of Western blot assay showed that they significantly reduced the phosphorylation levels of NF-κB p65 and NF-κB inhibitor α， and the protein expression levels of NLRP3， caspase-1 and ASC （P＜0.05 or P＜0.01）. CONCLUSIONS Jingangteng capsules could improve inflammation， lipid accumulation and liver injury in NAFLD rats， regulate the disorders of gut microbiota and metabolisms， and inhibit NF-κB/NLRP3 signaling pathway. Their therapeutic effects against NAFLD are mediated through the inhibition of the NF-κB/NLRP3 signaling pathway.

The study aims to investigate the effects of adding different proportions of Codonopsis radix compound crude extracts to the rabbit diet on growth performance,immune status,intesti-nal enzyme activity,structure,and microbial composition.A total of 96 5-week-old New Zealand White rabbits were randomly divided into 4 groups,with 6 replicates per group.The control group(BC)was fed a basal diet,while the experimental groups(CM-H and CM-L)were fed a basal diet supplemented with 1 000 mg/kg and 500 mg/kg of Codonopsis radix compound crude extracts,re-spectively.The antibiotic group(CK)was fed a basal diet supplemented with 300 mg/kg of keto-tifen.The experimental period was 42 days.Blood samples were collected at days 21 and 42,and se-rum biochemical and immune markers were determined.Intestinal segments and contents were col-lected at day 42 for analysis of intestinal health.The results showed that compared with the BC group,the average daily gain,feed-to-gain ratio,and diarrhea rate were significantly higher(P＜0.05)in the CM-H and CM-L groups.The total cholesterol(Tchol)content in the serum was sig-nificantly lower in the CM-H group at day 21 and the CM-L group at day 42(P＜0.05).The high-density lipoprotein(HDL)was significantly higher in the CM-H and CM-L groups than in the CK group at day 42(P＜0.05),and the total protein(TP)in the serum was significantly higher in the CM-H and CM-L groups than in the BC group(P＜0.05).The IgG and IgM levels in the serum were significantly higher in the CM-H and CM-L groups than in the BC group(P＜0.05).In the CM-H and CM-L groups,the content of acetic acid in the colon was significantly higher than that in the BC group(P＜0.05).The content of propionic acid in the colon of the CM-L group was also significantly higher than that in the BC group(P＜0.05).The content of α-amylase in the duode-num,the content of trypsin in the duodenum,the pancreas,and the ileum of the CM-H group were significantly higher than those in the BC group(P＜0.05),and the content of trypsin in the duode-num of the CM-H group was significantly higher than those in the BC group and the CM-L group(P＜0.05).Compared with the BC group,the content of GPX1 in the ileum and jejunum of the CM-L group and the ileum of the CM-H group was significantly increased(P＜0.05),and the length of the villi in the duodenum of the CM-H group was significantly increased(P＜0.05).Compared with the BC group,the expression level of ZO-1 in the ileum of the CM-H group was significantly upregulated(P＜0.05),and the expression level of Claudin in the jejunum of the CM-H group and the CM-L group was significantly higher than that in the CK group(P＜0.05).The high-throughput sequencing results showed that the Sob index was significantly higher in the CM-L group compared to the BC group(P＜0.05).At the phylum level,the Firmicutes and Bacteroid-ota phyla were the main phyla.At the genus level,Akkermansia and Ruminococcus were the main genera.The relative abundance of Papillibacter and Eubacterium_ruminantium_group in the CM-L group was significantly higher than that in the CK group(P＜0.05).In summary,adding a Codonopsis radix compound crude extract to the diet can improve the growth performance,immu-nity,antioxidant capacity,integrity of intestinal mucosal structure,enzyme activity in the intestine,and increase the diversity of microorganisms in the blind intestine when the diet is supplemented with 500 mg/kg of Codonopsis radix compound crude extract.

Objective:To construct an early warning model for gestational diabetes mellitus (GDM) based on baseline data, vitamin D (VitD) , and thyroid function status.Methods:A prospective study was conducted to select 126 patients with GDM (GDM group) and 126 pregnant women without GDM (control group) admitted to the Obstetrics Department of Qinhuangdao First Hospital from Jan. 2022 to May. 2024. The single-factor and multi-factor LASSO Logistic regression analysis was used to analyze the influencing factors of the risk of GDM. Based on the results of the multi-factor analysis, an early warning model for GDM was constructed, evaluated, and validated.Results:Age, pre-pregnancy body mass index (BMI) , family history of diabetes, thyroid function, low density lipoprotein (LDL-C) , triglyceride (TG) , VitD, fasting plasma glucose (FPG) , glycated hemoglobin (HbA1c) and blood uric acid were compared, and the differences were statistically significant ( P < 0.05) . LASSO Logistic regression analysis showed that family history of diabetes, hypothyroidism, pre-pregnancy BMI, TG, VitD, FPG, HbA1c and blood uric acid were independently correlated with the risk of GDM ( P < 0.05) . A GDM early warning model was constructed based on the results of multiple factors, with a C-index of 0.876, indicating good predictive performance; The model evaluation and validation results show that the model has good internal and external calibration, high consistency between predicted values and actual observed values, and good predictive value and discrimination in external data sets. Conclusions:Baseline data such as hypothyroidism, VitD, and pre-pregnancy BMI are independent factors that affect the occurrence of GDM. The early warning model for GDM based on these indicators has good predictive performance and clinical applicability, and can be used as an effective model for early prediction of GDM in clinical practice, as well as guiding clinical prevention and treatment efforts.

Objective:To construct an early warning model for gestational diabetes mellitus (GDM) based on baseline data, vitamin D (VitD) , and thyroid function status.Methods:A prospective study was conducted to select 126 patients with GDM (GDM group) and 126 pregnant women without GDM (control group) admitted to the Obstetrics Department of Qinhuangdao First Hospital from Jan. 2022 to May. 2024. The single-factor and multi-factor LASSO Logistic regression analysis was used to analyze the influencing factors of the risk of GDM. Based on the results of the multi-factor analysis, an early warning model for GDM was constructed, evaluated, and validated.Results:Age, pre-pregnancy body mass index (BMI) , family history of diabetes, thyroid function, low density lipoprotein (LDL-C) , triglyceride (TG) , VitD, fasting plasma glucose (FPG) , glycated hemoglobin (HbA1c) and blood uric acid were compared, and the differences were statistically significant ( P < 0.05) . LASSO Logistic regression analysis showed that family history of diabetes, hypothyroidism, pre-pregnancy BMI, TG, VitD, FPG, HbA1c and blood uric acid were independently correlated with the risk of GDM ( P < 0.05) . A GDM early warning model was constructed based on the results of multiple factors, with a C-index of 0.876, indicating good predictive performance; The model evaluation and validation results show that the model has good internal and external calibration, high consistency between predicted values and actual observed values, and good predictive value and discrimination in external data sets. Conclusions:Baseline data such as hypothyroidism, VitD, and pre-pregnancy BMI are independent factors that affect the occurrence of GDM. The early warning model for GDM based on these indicators has good predictive performance and clinical applicability, and can be used as an effective model for early prediction of GDM in clinical practice, as well as guiding clinical prevention and treatment efforts.