Background Prenatal exposure to chlorinated polyfluorinated ether sulfonic acid (Cl-PFESA, commercially known as F-53B) during pregnancy has been associated with fetal growth restriction and adverse birth outcomes. These effects may be mediated by structural and functional impairments of the placenta, potentially resulting from disrupted placental angiogenesis. However, the underlying mechanisms remain unclear. Objective To explore the impact of prenatal F-53B exposure on fetal development, placental pathology, and the expression of genes involved in angiogenesis by establishing an F-53B exposure animal model. Methods A total of 48 sexually mature female SD rats aged 8 weeks were selected, along with 24 proven male breeders. The rats were acclimatized for one week before mating. Pregnant rats were assigned to four groups: control (0 mg·kg⁻¹), low-dose (0.1 mg·kg⁻¹), medium-dose (1 mg·kg⁻¹), and high-dose (5 mg·kg⁻¹). Half of the pregnant rats in each group were administered the test substance by oral gavage once daily from gestational day (GD) 5.5 to GD17.5. The fetuses and placentas were dissected and weighed, and placental efficiency was calculated as the ratio of fetal weight to placental weight, reflecting the placenta’s capacity to supply nutrients to the fetus. Placental histopathological alterations were assessed after hematoxylin and eosin (HE) staining. Quantitative real-time polymerase chain reaction (qPCR) was conducted to assess the mRNA expression levels of angiogenesis-related genes, including hypoxia-inducible factor-1α (HIF-1α), vascular endothelial growth factor A (VEGFA) and its receptor (VEGFR2), as well as downstream genes in the phosphatidylinositol 3-kinase (PI3K)/protein kinase B (AKT) signaling pathway. To evaluate the potential impact of prenatal F-53B exposure on birth outcomes, including birth weight and gestational age, the remaining half of the pregnant rats in each group were continuously exposed to the test substance until delivery. Results F-53B exposure significantly reduced fetal weight across all exposure groups (P<0.05) and markedly increased the incidence of intrauterine growth restriction (P<0.01). Although placental weights did not differ significantly among groups, placental efficiency was significantly decreased in the high-dose group (P<0.05). The histological analysis after HE staining revealed disorganized trophoblast cell structure and a significant reduction in labyrinthine blood sinus area in the medium- and high-dose groups. The qPCR analysis showed that HIF-1α expression was significantly upregulated in the low-dose group (P<0.001), while VEGFA (P<0.01), PI3K (P<0.001), and AKT (P<0.05) expression levels were significantly downregulated in the medium- and high-dose groups. Conclusion Maternal exposure to F-53B during pregnancy may impair placental angiogenesis via VEGFA and its downstream PI3K/AKT signaling pathway, leading to placental pathological damage and increasing the risk of intrauterine growth restriction and reduced birth weight in fetuses.

Objective To explore the effects of Danlong Xingnao Prescription on the learning and memory ability of vascular dementia(VD)model rats based onPI3K/Akt/mTOR signaling pathway;To discuss its possible mechanism.Methods VD rat model was prepared using improved bilateral common carotid artery ligation method.Modeling rats were randomly divided into model group,nimodipine group and DanlongXingnao Prescription low-,medium-,high-dosage groups(3.7,7.4,14.8 g/kg),with 10 rats in each group.The sham-operation group only separated the arteries without ligation.Each medication group was given corresponding drugs by gavage,the sham-operation group and the model group were given equal amounts of physiological saline by gavage for 4 consecutive weeks.Morris water maze was used to test the learning and memory ability of rats,morphology of the hippocampus were observed by HE staining,immunohistochemistry was used to detect microvascular density and expression of vascular endothelial growth factor(VEGF),the activity of SOD,GSH-Px and the content of MDA in liver tissue were detected by biochemical method,RT-qPCR and Western blot were used to detect the mRNA and protein expression of PI3K,Akt,mTOR,hypoxia-inducible factor-1α(HIF-1α),VEGF,Bax and Bcl-2 in hippocampal tissue.Results Compared with the sham-operation group,the latency period of evasion was significantly prolonged,and the number of platform crossings was significantly reduced in the model group(P＜0.01),the cells in the hippocampal CA1 region had irregular morphology,loose arrangement,blurred boundaries,nucleolar condensation,and a large number of neuronal necrosis,the microvascular density and VEGF expression significantly increased(P＜0.01),the SOD and GSH-Px activity in hippocampal tissue decreased(P＜0.01),MDA content increased(P＜0.01),the expressions of HIF-1α,VEGF,Bax mRNA and protein in hippocampal CA1 region increased,and PI3K,Akt,mTOR,Bcl-2 mRNA and protein expression decreased(P＜0.01).Compared with the model group,the latency period of evasion were significantly shortened,and the number of platform crossings increased in the Danlong Xingnao Prescription groups(P＜0.05,P＜0.01),neuronal damage in hippocampal CA1 region was alleviated,microvascular density and VEGF expression increased(P＜0.05,P＜0.0 1),the activities of SOD and GSH-Px in hippocampal tissue increased(P＜0.05,P＜0.01),the content of MDA decreased(P＜0.05,P＜0.01),the mRNA and protein expressions of PI3K,Akt,mTOR,HIF-1α,VEGF,Bcl-2 in hippocampal CA1 region increased(P＜0.05,P＜0.01),the expression of Bax mRNA and protein decreased(P＜0.05,P＜0.01).Conclusion Danlong Xingnao Prescription can improve the learning and memory ability of VD model rats,promote angiogenesis,inhibit oxidative stress and apoptosis.The mechanism may be related to the up-regulation of PI3K/Akt/mTOR signaling pathway in hippocampal tissue.

Objective:To explore the associated factors for membranous nephropathy (MN) patients with IgM deposition, and to construct a prediction model.Methods:This study was a retrospective cohort study. Patients diagnosed with MN with IgM deposition by renal biopsy in the Fourth Hospital of Hebei Medical University from February 2017 to December 2023 were retrospectively included. Clinical and pathological data were collected. The study population was randomized into a training set and a validation set at a 7:3 ratio. The endpoint event was defined as the remission of MN, and the patients were divided into remission group and non-remission group to compare the clinical and pathological examination results. Least absolute shrinkage and selection operator regression analysis and Cox regression analysis were used to explore the associated factors of poor prognosis of MN patients with IgM deposition. Internal validation was conducted using the validation set data. The clinical efficacy of the predictive model was evaluated by calculating the area under the receiver operating characteristic (ROC) curve and generating calibration curves. The total nomogram score for each patient was calculated based on the training set data, and the predictive performance was assessed by plotting the ROC curve. Patients were then stratified into low-risk and high-risk groups according to the optimal cut-off value derived from the ROC analysis of the total nomogram score. Kaplan-Meier survival analysis was performed to compare the remission rate between the two groups. Model performance was evaluated using the validation set.Results:A total of 200 MN patients with IgM deposition were included, and 49.0% of them achieved clinical remission. In the training set, statistically significant differences were observed in 24-hour urine protein quantification ( Z=-2.638, P=0.008), renal arteriolar wall thickening ( χ2=6.891, P=0.009), the proportion of patients receiving immunosuppressive therapy ( χ2=21.381, P<0.001), and the proportion of patients treated with corticosteroids combined with cyclophosphamide ( χ2=10.107, P=0.001). Through least absolute shrinkage and selection operator regression and Cox regression, 2 factors associated with clinical remission in MN patients with IgM deposition were simultaneously identified from 16 potential associated factors, including the use of immunosuppressants ( HR=3.823, 95% CI 2.055-7.113, P<0.001), and renal arteriolar wall thickening ( HR=0.428, 95% CI 0.221-0.831, P=0.012). Incorporating the clinical measurement of phospholipase A2 receptor (PLA2R) antibodies, a predictive model was established. The performance of the model was evaluated using the training dataset, yielding an area under the ROC curve of 0.731 (95% CI 0.648-0.814), with a sensitivity of 88.7% and a specificity of 55.1%. The optimal cut-off value was a total nomogram score of 41.7 points. The Kaplan-Meier survival analysis showed that the remission rate was significantly higher in the low-risk group than that of the high-risk group (Log-rank test, χ2=33.525, P<0.001). Model validation was performed using the validation dataset, which showed an AUC of 0.715 (95% CI 0.591-0.839), sensitivity of 70.4%, and specificity of 63.6%. Similarly, the Kaplan-Meier survival analysis demonstrated a significantly higher remission rate in the low-risk group than in the high-risk group (Log-rank test, χ2=8.467, P=0.004). Conclusion:A nomogram predictive model for remission of MN patients with IgM deposition, based on serum PLA2R antibody levels, the use of immunosuppressive therapy, and renal arteriolar wall thickening is developed. The model demonstrates a moderate clinical applicability.

Objective:To investigate the expression of long noncoding RNA (lncRNA) BMPR1B-AS1 in ovarian cancer and its impact on prognosis, so as to evaluate its value as a potential biomarker.Methods:The TCGA, GEPIA, and UALCAN databases were used to retrospectively analyze the expression differences of BMPR1B-AS1 in gynecological tumors, and prognostic analysis was performed in combination with clinical data. The expression level of BMPR1B-AS1 in ovarian cancer tissues and cell lines was verified by real-time fluorescent quantitative reverse transcription polymerase chain reaction (RT-qPCR), and univariate and multivariate Cox regression models were used to analyze its relationship with the prognosis of ovarian cancer.Results:Database analysis showed that the expression of BMPR1B-AS1 in ovarian cancer and endometrial cancer was higher than that in the non-tumor group (all P<0.05), and high expression of BMPR1B-AS1 in ovarian cancer was associated with better prognosis ( P<0.05). Experimental verification showed that the expression of BMPR1B-AS1 in ovarian cancer tissues was significantly higher than that in benign ovarian tissues, and the expression of BMPR1B-AS1 in ovarian cancer cell lines was higher than that in normal human ovarian epithelial cells ( P<0.05). Cox regression analysis indicated that high expression of BMPR1B-AS1 was an independent protective factor for the prognosis of ovarian cancer ( P<0.05). Conclusions:The expression of BMPR1B-AS1 in ovarian cancer and endometrial cancer is higher than that in non-tumor groups, and it is an independent protective factor for good prognosis in ovarian cancer patients. It may serve as a new biomarker, providing new ideas for the diagnosis and treatment of ovarian cancer.

Objective To explore the effects of Danlong Xingnao Prescription on the learning and memory ability of vascular dementia(VD)model rats based onPI3K/Akt/mTOR signaling pathway;To discuss its possible mechanism.Methods VD rat model was prepared using improved bilateral common carotid artery ligation method.Modeling rats were randomly divided into model group,nimodipine group and DanlongXingnao Prescription low-,medium-,high-dosage groups(3.7,7.4,14.8 g/kg),with 10 rats in each group.The sham-operation group only separated the arteries without ligation.Each medication group was given corresponding drugs by gavage,the sham-operation group and the model group were given equal amounts of physiological saline by gavage for 4 consecutive weeks.Morris water maze was used to test the learning and memory ability of rats,morphology of the hippocampus were observed by HE staining,immunohistochemistry was used to detect microvascular density and expression of vascular endothelial growth factor(VEGF),the activity of SOD,GSH-Px and the content of MDA in liver tissue were detected by biochemical method,RT-qPCR and Western blot were used to detect the mRNA and protein expression of PI3K,Akt,mTOR,hypoxia-inducible factor-1α(HIF-1α),VEGF,Bax and Bcl-2 in hippocampal tissue.Results Compared with the sham-operation group,the latency period of evasion was significantly prolonged,and the number of platform crossings was significantly reduced in the model group(P＜0.01),the cells in the hippocampal CA1 region had irregular morphology,loose arrangement,blurred boundaries,nucleolar condensation,and a large number of neuronal necrosis,the microvascular density and VEGF expression significantly increased(P＜0.01),the SOD and GSH-Px activity in hippocampal tissue decreased(P＜0.01),MDA content increased(P＜0.01),the expressions of HIF-1α,VEGF,Bax mRNA and protein in hippocampal CA1 region increased,and PI3K,Akt,mTOR,Bcl-2 mRNA and protein expression decreased(P＜0.01).Compared with the model group,the latency period of evasion were significantly shortened,and the number of platform crossings increased in the Danlong Xingnao Prescription groups(P＜0.05,P＜0.01),neuronal damage in hippocampal CA1 region was alleviated,microvascular density and VEGF expression increased(P＜0.05,P＜0.0 1),the activities of SOD and GSH-Px in hippocampal tissue increased(P＜0.05,P＜0.01),the content of MDA decreased(P＜0.05,P＜0.01),the mRNA and protein expressions of PI3K,Akt,mTOR,HIF-1α,VEGF,Bcl-2 in hippocampal CA1 region increased(P＜0.05,P＜0.01),the expression of Bax mRNA and protein decreased(P＜0.05,P＜0.01).Conclusion Danlong Xingnao Prescription can improve the learning and memory ability of VD model rats,promote angiogenesis,inhibit oxidative stress and apoptosis.The mechanism may be related to the up-regulation of PI3K/Akt/mTOR signaling pathway in hippocampal tissue.

Objective:To explore the associated factors for membranous nephropathy (MN) patients with IgM deposition, and to construct a prediction model.Methods:This study was a retrospective cohort study. Patients diagnosed with MN with IgM deposition by renal biopsy in the Fourth Hospital of Hebei Medical University from February 2017 to December 2023 were retrospectively included. Clinical and pathological data were collected. The study population was randomized into a training set and a validation set at a 7:3 ratio. The endpoint event was defined as the remission of MN, and the patients were divided into remission group and non-remission group to compare the clinical and pathological examination results. Least absolute shrinkage and selection operator regression analysis and Cox regression analysis were used to explore the associated factors of poor prognosis of MN patients with IgM deposition. Internal validation was conducted using the validation set data. The clinical efficacy of the predictive model was evaluated by calculating the area under the receiver operating characteristic (ROC) curve and generating calibration curves. The total nomogram score for each patient was calculated based on the training set data, and the predictive performance was assessed by plotting the ROC curve. Patients were then stratified into low-risk and high-risk groups according to the optimal cut-off value derived from the ROC analysis of the total nomogram score. Kaplan-Meier survival analysis was performed to compare the remission rate between the two groups. Model performance was evaluated using the validation set.Results:A total of 200 MN patients with IgM deposition were included, and 49.0% of them achieved clinical remission. In the training set, statistically significant differences were observed in 24-hour urine protein quantification ( Z=-2.638, P=0.008), renal arteriolar wall thickening ( χ2=6.891, P=0.009), the proportion of patients receiving immunosuppressive therapy ( χ2=21.381, P<0.001), and the proportion of patients treated with corticosteroids combined with cyclophosphamide ( χ2=10.107, P=0.001). Through least absolute shrinkage and selection operator regression and Cox regression, 2 factors associated with clinical remission in MN patients with IgM deposition were simultaneously identified from 16 potential associated factors, including the use of immunosuppressants ( HR=3.823, 95% CI 2.055-7.113, P<0.001), and renal arteriolar wall thickening ( HR=0.428, 95% CI 0.221-0.831, P=0.012). Incorporating the clinical measurement of phospholipase A2 receptor (PLA2R) antibodies, a predictive model was established. The performance of the model was evaluated using the training dataset, yielding an area under the ROC curve of 0.731 (95% CI 0.648-0.814), with a sensitivity of 88.7% and a specificity of 55.1%. The optimal cut-off value was a total nomogram score of 41.7 points. The Kaplan-Meier survival analysis showed that the remission rate was significantly higher in the low-risk group than that of the high-risk group (Log-rank test, χ2=33.525, P<0.001). Model validation was performed using the validation dataset, which showed an AUC of 0.715 (95% CI 0.591-0.839), sensitivity of 70.4%, and specificity of 63.6%. Similarly, the Kaplan-Meier survival analysis demonstrated a significantly higher remission rate in the low-risk group than in the high-risk group (Log-rank test, χ2=8.467, P=0.004). Conclusion:A nomogram predictive model for remission of MN patients with IgM deposition, based on serum PLA2R antibody levels, the use of immunosuppressive therapy, and renal arteriolar wall thickening is developed. The model demonstrates a moderate clinical applicability.

Objective:To investigate the expression of long noncoding RNA (lncRNA) BMPR1B-AS1 in ovarian cancer and its impact on prognosis, so as to evaluate its value as a potential biomarker.Methods:The TCGA, GEPIA, and UALCAN databases were used to retrospectively analyze the expression differences of BMPR1B-AS1 in gynecological tumors, and prognostic analysis was performed in combination with clinical data. The expression level of BMPR1B-AS1 in ovarian cancer tissues and cell lines was verified by real-time fluorescent quantitative reverse transcription polymerase chain reaction (RT-qPCR), and univariate and multivariate Cox regression models were used to analyze its relationship with the prognosis of ovarian cancer.Results:Database analysis showed that the expression of BMPR1B-AS1 in ovarian cancer and endometrial cancer was higher than that in the non-tumor group (all P<0.05), and high expression of BMPR1B-AS1 in ovarian cancer was associated with better prognosis ( P<0.05). Experimental verification showed that the expression of BMPR1B-AS1 in ovarian cancer tissues was significantly higher than that in benign ovarian tissues, and the expression of BMPR1B-AS1 in ovarian cancer cell lines was higher than that in normal human ovarian epithelial cells ( P<0.05). Cox regression analysis indicated that high expression of BMPR1B-AS1 was an independent protective factor for the prognosis of ovarian cancer ( P<0.05). Conclusions:The expression of BMPR1B-AS1 in ovarian cancer and endometrial cancer is higher than that in non-tumor groups, and it is an independent protective factor for good prognosis in ovarian cancer patients. It may serve as a new biomarker, providing new ideas for the diagnosis and treatment of ovarian cancer.

This study utilized the CCK-8 assay to examine the effects of various concentrations of CoCl2(0,50,100,200,300,400 μmol/L)and different treatment durations(0,6,12,24,48 h)on the viability of adipocytes,in order to determine the most suitable treatment conditions.Western blot analysis was employed to investigate the impact of different concentrations of CoCl2(0,50,100,200,400 μmol/L)on the expression of hypoxia and its downstream key proteins in adipocytes.The results indicated that higher concentrations of CoCl2 led to lower adipocyte viability,with sig-nificant decreases in cell viability observed in the 300,400 μmol/L treatment groups(P＜0.01),while the 200 μmol/L group exhibited the highest cell viability.Compared to the control group,the 200 μmol/L CoCl2 treatment group showed a significant upregulation in the expression of hypoxia and its downstream signaling pathway key molecules:hypoxia-inducible factor 1-alpha(HIF-1α),glucose transporter type 4(GLUT4),vascular endothelial growth factor receptor 1(FLT-1),prolyl hydroxylase 2(PHD2),and vascular endothelial growth factor(VEGF)(P＜0.01).Addi-tionally,the 200 μmol/L CoCl2 treatment group exhibited higher levels of key lipolytic enzymes,including adipose triglyceride lipase(ATGL),perilipin 1(PLIN1),protein kinase A(PKA),and increased phosphorylation levels of hormone-sensitive lipase(HSL)in the 300 and 400 μmol/L groui ps(P＜0.01).CoCl2-mediated hypoxia in the 200 μmol/L treatment group also in-creased the protein expression of phosphatidylinositol 3-kinase(PI3K)and the phosphorylation level of protein kinase B(Akt).These findings suggest that adding 200 μmol/L CoCl2 can enhance the expression of hypoxia-related proteins,lipolytic enzymes,and insulin-related signaling proteins in primary bovine adipocytes.

Objective To examine the association of pre?pregnancy body mass and weight gain during pregnancy with macrosomia. Methods From January 2015 to December 2015, a total of 20 477 pregnant women were recruited by probabilistic proportional scale sampling with simple randomization in Sichuan, Yunnan and Guizhou Provinces. Basic information of pregnant women, weight gain during pregnancy and weight of newborn were collected. A multiple logistic regression model was used to assess the association between the pre?pregnancy body mass and gestational weight gain indicators with macrosomia. Results 20 321 mother?infant were included in the final analysis. 20 321 pregnant women were (30.09 ± 4.10) years old and delivered at (39.20 ± 1.29) weeks, among which 12 341 (60.73%) cases were cesarean delivery. The birth weight of 20 321 infants were (3 292.26 ± 431.67) grams, and 970 (4.77%) were macrosomia. The multiple logistic regression model showed that after adjusting for the age of women, compared to the normal weight group in the pre?pregnancy, the overweight and obesity group elevated the risk of macrosomia, with OR (95%CI) about 1.99 (95%CI: 1.69-2.35) and 4.05 (95%CI: 3.05-5.39), respectively. After adjusting for the age, the pre?pregnancy BMI, delivery weeks, delivery mode and infant's gender, compared to the weight?gain appropriate group, higher weight gain rate in the mid?pregnancy and excessive total gestational weight gain elevated the risk of macrosomia, with OR (95%CI) about 1.99 (95%CI:1.66-2.39) and 1.80 (95%CI: 1.55-2.08), respectively. Conclusion The overweight before pregnancy, obesity before pregnancy, the rate of weight gain in the second trimester and the high total weight gain during pregnancy could increase the risk of macrosomia.

Objective: To examine the association of pre-pregnancy body mass and weight gain during pregnancy with macrosomia. Methods: From January 2015 to December 2015, a total of 20 477 pregnant women were recruited by probabilistic proportional scale sampling with simple randomization in Sichuan, Yunnan and Guizhou Provinces. Basic information of pregnant women, weight gain during pregnancy and weight of newborn were collected. A multiple logistic regression model was used to assess the association between the pre-pregnancy body mass and gestational weight gain indicators with macrosomia. Results: 20 321 mother-infant were included in the final analysis. 20 321 pregnant women were (30.09±4.10) years old and delivered at (39.20±1.29) weeks, among which 12 341 (60.73%) cases were cesarean delivery. The birth weight of 20 321 infants were (3 292.26±431.67) grams, and 970 (4.77%) were macrosomia. The multiple logistic regression model showed that after adjusting for the age of women, compared to the normal weight group in the pre-pregnancy, the overweight and obesity group elevated the risk of macrosomia, with OR (95%CI) about 1.99 (95%CI: 1.69−2.35) and 4.05 (95%CI: 3.05−5.39), respectively. After adjusting for the age, the pre-pregnancy BMI, delivery weeks, delivery mode and infant′s gender, compared to the weight-gain appropriate group, higher weight gain rate in the mid-pregnancy and excessive total gestational weight gain elevated the risk of macrosomia, with OR (95%CI) about 1.99 (95%CI: 1.66−2.39) and 1.80 (95%CI: 1.55−2.08), respectively. Conclusion The overweight before pregnancy, obesity before pregnancy, the rate of weight gain in the second trimester and the high total weight gain during pregnancy could increase the risk of macrosomia.