Background: Gestational diabetes mellitus (GDM) is a metabolic disorder posing significant risks to maternal and infant health, with a lack of effective early screening markers. Therefore, identifying early screening biomarkers for GDM with higher sensitivity and specificity is urgently needed. Methods: High-throughput sequencing was employed to screen for key circular RNAs (circRNAs), which were then evaluated using reverse transcription quantitative polymerase chain reaction. Logistic regression analysis was conducted to examine the relationship between clinical characteristics, circRNA expression, and adverse pregnancy outcomes. The diagnostic accuracy of circRNAs for early and mid-pregnancy GDM was assessed using receiver operating characteristic curves. Pearson correlation analysis was utilized to explore the relationship between circRNA levels and oral glucose tolerance test results. A predictive model for early GDM was established using logistic regression. Results: Significant alterations in circRNA expression profiles were detected in GDM patients, with hsa_circ_0031560 and hsa_ circ_0000793 notably upregulated during the first and second trimesters. These circRNAs were associated with adverse pregnancy outcomes and effectively differentiated GDM patients, with second trimester cohorts achieving an area under the curve (AUC) of 0.836. In first trimester cohorts, these circRNAs identified potential GDM patients with AUCs of 0.832 and 0.765, respectively. The early GDM prediction model achieved an AUC of 0.904, validated in two independent cohorts. Conclusion Hsa_circ_0031560, hsa_circ_0000793, and the developed model serve as biomarkers for early prediction or midterm diagnosis of GDM, offering clinical tools for early GDM screening.

Background: Gestational diabetes mellitus (GDM) is a metabolic disorder posing significant risks to maternal and infant health, with a lack of effective early screening markers. Therefore, identifying early screening biomarkers for GDM with higher sensitivity and specificity is urgently needed. Methods: High-throughput sequencing was employed to screen for key circular RNAs (circRNAs), which were then evaluated using reverse transcription quantitative polymerase chain reaction. Logistic regression analysis was conducted to examine the relationship between clinical characteristics, circRNA expression, and adverse pregnancy outcomes. The diagnostic accuracy of circRNAs for early and mid-pregnancy GDM was assessed using receiver operating characteristic curves. Pearson correlation analysis was utilized to explore the relationship between circRNA levels and oral glucose tolerance test results. A predictive model for early GDM was established using logistic regression. Results: Significant alterations in circRNA expression profiles were detected in GDM patients, with hsa_circ_0031560 and hsa_ circ_0000793 notably upregulated during the first and second trimesters. These circRNAs were associated with adverse pregnancy outcomes and effectively differentiated GDM patients, with second trimester cohorts achieving an area under the curve (AUC) of 0.836. In first trimester cohorts, these circRNAs identified potential GDM patients with AUCs of 0.832 and 0.765, respectively. The early GDM prediction model achieved an AUC of 0.904, validated in two independent cohorts. Conclusion Hsa_circ_0031560, hsa_circ_0000793, and the developed model serve as biomarkers for early prediction or midterm diagnosis of GDM, offering clinical tools for early GDM screening.

Background: Gestational diabetes mellitus (GDM) is a metabolic disorder posing significant risks to maternal and infant health, with a lack of effective early screening markers. Therefore, identifying early screening biomarkers for GDM with higher sensitivity and specificity is urgently needed. Methods: High-throughput sequencing was employed to screen for key circular RNAs (circRNAs), which were then evaluated using reverse transcription quantitative polymerase chain reaction. Logistic regression analysis was conducted to examine the relationship between clinical characteristics, circRNA expression, and adverse pregnancy outcomes. The diagnostic accuracy of circRNAs for early and mid-pregnancy GDM was assessed using receiver operating characteristic curves. Pearson correlation analysis was utilized to explore the relationship between circRNA levels and oral glucose tolerance test results. A predictive model for early GDM was established using logistic regression. Results: Significant alterations in circRNA expression profiles were detected in GDM patients, with hsa_circ_0031560 and hsa_ circ_0000793 notably upregulated during the first and second trimesters. These circRNAs were associated with adverse pregnancy outcomes and effectively differentiated GDM patients, with second trimester cohorts achieving an area under the curve (AUC) of 0.836. In first trimester cohorts, these circRNAs identified potential GDM patients with AUCs of 0.832 and 0.765, respectively. The early GDM prediction model achieved an AUC of 0.904, validated in two independent cohorts. Conclusion Hsa_circ_0031560, hsa_circ_0000793, and the developed model serve as biomarkers for early prediction or midterm diagnosis of GDM, offering clinical tools for early GDM screening.

Background: Gestational diabetes mellitus (GDM) is a metabolic disorder posing significant risks to maternal and infant health, with a lack of effective early screening markers. Therefore, identifying early screening biomarkers for GDM with higher sensitivity and specificity is urgently needed. Methods: High-throughput sequencing was employed to screen for key circular RNAs (circRNAs), which were then evaluated using reverse transcription quantitative polymerase chain reaction. Logistic regression analysis was conducted to examine the relationship between clinical characteristics, circRNA expression, and adverse pregnancy outcomes. The diagnostic accuracy of circRNAs for early and mid-pregnancy GDM was assessed using receiver operating characteristic curves. Pearson correlation analysis was utilized to explore the relationship between circRNA levels and oral glucose tolerance test results. A predictive model for early GDM was established using logistic regression. Results: Significant alterations in circRNA expression profiles were detected in GDM patients, with hsa_circ_0031560 and hsa_ circ_0000793 notably upregulated during the first and second trimesters. These circRNAs were associated with adverse pregnancy outcomes and effectively differentiated GDM patients, with second trimester cohorts achieving an area under the curve (AUC) of 0.836. In first trimester cohorts, these circRNAs identified potential GDM patients with AUCs of 0.832 and 0.765, respectively. The early GDM prediction model achieved an AUC of 0.904, validated in two independent cohorts. Conclusion Hsa_circ_0031560, hsa_circ_0000793, and the developed model serve as biomarkers for early prediction or midterm diagnosis of GDM, offering clinical tools for early GDM screening.

BACKGROUND: The proportion of patients with non-small cell lung cancer (NSCLC) harboring epidermal growth factor receptor (EGFR) mutations is relatively high in China. However, these patients currently lack significant benefits from available neoadjuvant treatment options. This study aims to explore the potential application value of neoadjuvant targeted therapy by evaluating its efficacy and safety in patients with EGFR-mutant resectable lung adenocarcinoma. METHODS: A multicenter retrospective study was used to analyze the treatment effect of patients with stage IIA-IIIB EGFR-mutant lung adenocarcinoma who underwent surgical resection after receiving neoadjuvant targeted therapy from July 2019 to October 2024. RESULTS: A total of 24 patients with EGFR-mutant lung adenocarcinoma from three centers were included in this study. All patients successfully underwent surgery and achieved R0 resection of 100.0%. The objective response rate (ORR) was 83.3% (20/24) . The major pathologic response (MPR) rate was 37.5% (9/24), with 2 patients (8.3%) achieving pathological complete response (pCR). During neoadjuvant therapy, 13 out of 24 patients (54.2%) experienced adverse events of grade 1-2, with no occurrences of ≥ grade 3. The most common treatment-related adverse events were rash (n=4, 16.7%), mouth sores (n=2, 8.3%), and diarrhea (n=2, 8.3%). The median follow-up time was 33.0 months, no deaths occurred in all patients, and the overall survival (OS) rate was 100.0%. The 1-year disease-free survival (DFS) rate was 91.1%, and the 2-year DFS rate remained at 86.2%. CONCLUSIONS The application of neoadjuvant targeted therapy in patients with EGFR-mutant resectable lung adenocarcinoma is safe and feasible, and is expected to become a highly promising neoadjuvant treatment option for the patients with EGFR-mutant lung adenocarcinoma.
Humans ; ErbB Receptors/metabolism* ; Male ; Female ; Middle Aged ; Adenocarcinoma of Lung/surgery* ; Neoadjuvant Therapy ; Lung Neoplasms/surgery* ; Aged ; Retrospective Studies ; Mutation ; Adult

This consensus will introduce the characteristics of fillers used in the surgical cavities of domestic nasal surgery patients based on relevant literature and expert opinions. It will also provide recommendations for the selection of cavity fillers for different nasal diseases, with chronic sinusitis as a representative example.
Humans ; Nasal Cavity/surgery* ; Nasal Surgical Procedures ; China ; Consensus ; Sinusitis/surgery* ; Dermal Fillers

OBJECTIVES: To construct an intelligent analysis model for classifying fetal orientation during intrapartum ultrasound videos based on multi-feature fusion. METHODS: The proposed model consists of the Input, Backbone Network and Classification Head modules. The Input module carries out data augmentation to improve the sample quality and generalization ability of the model. The Backbone Network was responsible for feature extraction based on Yolov8 combined with CBAM, ECA, PSA attention mechanism and AIFI feature interaction module. The Classification Head consists of a convolutional layer and a softmax function to output the final probability value of each class. The images of the key structures (the eyes, face, head, thalamus, and spine) were annotated with frames by physicians for model training to improve the classification accuracy of the anterior occipital, posterior occipital, and transverse occipital orientations. RESULTS: The experimental results showed that the proposed model had excellent performance in the tire orientation classification task with the classification accuracy reaching 0.984, an area under the PR curve (average accuracy) of 0.993, and area under the ROC curve of 0.984, and a kappa consistency test score of 0.974. The prediction results by the deep learning model were highly consistent with the actual classification results. CONCLUSIONS The multi-feature fusion model proposed in this study can efficiently and accurately classify fetal orientation in intrapartum ultrasound videos.
Humans ; Female ; Ultrasonography, Prenatal/methods* ; Pregnancy ; Fetus/diagnostic imaging* ; Neural Networks, Computer ; Video Recording

OBJECTIVE To investigate the protective effect of paeoniflorin(PF) on cardiac dysfunction and myocardial cell injury induced by cisplatin(CDDP) in rats. METHODS SD male rats were randomly divided into control group, CPPD group, and CDDP PF+low-dose, high-dose group. PowerLab multifunctional recorder was used to detect the related indexes of cardiac function: the changes of left ventricular peak pressure(LVSP), left ventricular end-diastolic pressure(LVEDP) and left ventricular pressure change rate(±dp/dt). Serum levels of inflammatory factors TNF-α, IL-1β and IL-6 were measured in each group. Myocardial tissue was stained to observe the changes of tissue structure. H9c2 cardiomyocytes were divided into control group, CDDP group, PF group and CDDP+PF group. The activity of H9c2 cardiomyocytes was measured by CCK-8. The apoptosis of cardiomyocytes in each group was detected by flow cytometry. The expressions of MAPK signaling pathway related proteins p38, ERK, JNK and their phosphorylated proteins and apoptosis-related proteins Bax, Bcl-2, Casp3, Cl-casp3 were detected in cardiomyocytes by Western blotting. RESULTS Compared with the control group, LVSP and ±dp/dt decreased, LVEDP increased in rats of CDDP group(P<0.01). Compared with CDDP group, both CDDP+low-dose and high-dose PF pretreatment increased LVSP and ±dp/dt value(P<0.05 or P<0.01), decreased LVEDP(P<0.01), and could decrease the serum inflammatory factor TNF-α, IL-1β and IL-6(P<0.01). Cell level results showed that compared with control group, in CDDP group, the cell activity decreased, the apoptosis-related protein Bax, Cl-casp3 increased(P<0.01), expression of anti-apoptotic protein Bcl-2 decreased(P<0.01), and the expression of p38 and ERK phosphorylation also increased(P<0.01). Compared with CDDP group, PF could restore cell activit, down-regulate apoptosis-related protein Bax, Cl-casp3(P<0.05 or P<0.01), and increase anti-apoptotic protein Bcl-2 expression(P<0.01), inhibit MAPK pathway p38 and ERK phosphorylation expression(P<0.01). CONCLUSION PF can restore cardiac dysfunction and myocardial cell injury induced by cisplatin in rats, which may be related to inhibiting inflammation and apoptosis by regulating ERK/p38 MAPK signal expression.

Purpose To investigate the protective effect and mechanism of A-485 on renal tubular injury in diabetic mice.Methods Eighteen male C57BL/6J mice were randomly divided into three groups:Control group,diabetic kidney dis-ease(DKD)group and A-485 treatment group.The DKD mice model was established by feeding high-fat diet for 8 weeks and intraperitoneal injection of streptozotocin for 5 days.Subsequent-ly,the A-485 treatment group was given A-485(10 mg/kg/day)by intraperitoneal injection every other day for 4 weeks.After treatment,the renal function,P300 enzyme activity and lipid deposition in renal tissue were measured.Western blot a-nalysis was performed to detect SREBP-1,FASN,ACC,ChREBP,P300,CBP,H3K18ac and H3K27ac protein levels.Results Compared with control mice,the levels of FBG,BUN,Scr and UAE were significantly increased in diabetic mice(FBG:2.52 times,BUN:2.89 times,Scr:2.13 times,UAE:4.21 times),while diabetic mice treatment with A-485 exhibi-ted a remarkable decrease on BUN,Scr and UAE(BUN:0.511 times,Scr:0.636 times,UAE:0.574 times,P＜0.01).The results of the transmission electron microscopy and oil red O stai-ning showed that A-485 treatment prevents lipid droplets forma-tion and up-regulation of SREBP-1,FASN,ACC and ChREBP in renal tubular cells of diabetic mice(SREBP-1:0.544 times,FASN:0.449 times,ACC:0.306 times,ChREBP:0.317 times,P＜0.01).Furthermore,A-485 intervention downregu-lated the enzyme activity of P300(0.546 times)and suppressed the expression of H3K18ac(0.337 times)and H3K27ac(0.308 times,P＜0.01).Conclusion A-485 can significant-ly improve renal lipid metabolic disorder in diabetic mice,which may be achieved by inhibiting p300-induced H3K18ac and H3K27ac.

Objective To investigate the mechanism by which Erastin affects ferroptosis in lung fibroblasts.Meth-ods Mouse lung fibroblasts (C57/B6-L) were treated with varying concentrations of the iron death inducer Eras-tin.Cell viability was assessed using the cell counting Kit-8 (CCK-8) assay.Oxidative stress levels were visualized using a fluorescence microscope, and the expression of proteins related to the mitogen-activated protein kinase (MAPK) signaling pathway was analyzed using Western blot.Additionally, the p38 and extracellular regulated protein kinase (ERK) inhibitors SB203580 and U0126 were employed to further elucidate the mechanism by which Erastin induces iron death in lung fibroblasts.Results At a concentration of 100 μmol/L, Erastin effectively in-duced ferroptosis in lung fibroblasts, leading to an upregulation of oxidative stress.Furthermore, the phosphoryla-tion levels of p38 and ERK proteins in the MAPK pathway were elevated (P<0.05) .The addition of SB203580 and U0126 inhibitors resulted in a significant reduction in oxidative stress levels and a notable increased in cell ac-tivity in lung fibroblasts (P<0.05).Conclusion It can be concluded that Erastin induces ferroptosis in lung fi-broblasts, potentially through the mediation of oxidative stress via the MAPK signaling pathway.