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.

Lymphatic metastasis is the main metastatic route for colorectal cancer, which increases the risk of cancer recurrence and distant metastasis. The properties of the lymph node metastatic colorectal cancer (LNM-CRC) cells are poorly understood, and effective therapies are still lacking. Here, we found that hypoxia-induced fibroblast activation protein alpha (FAPα) expression in LNM-CRC cells. Gain- or loss-function experiments demonstrated that FAPα enhanced tumor cell migration, invasion, epithelial-mesenchymal transition, stemness, and lymphangiogenesis via activation of the STAT3 pathway. In addition, FAPα in tumor cells induced extracellular matrix remodeling and established an immunosuppressive environment via recruiting regulatory T cells, to promote colorectal cancer lymph node metastasis (CRCLNM). Z-GP-DAVLBH, a FAPα-activated prodrug, inhibited CRCLNM by targeting FAPα-positive LNM-CRC cells. Our study highlights the role of FAPα in tumor cells in CRCLNM and provides a potential therapeutic target and promising strategy for CRCLNM.

Objective To observe the value of augmented reality(AR)navigation system for assisting CT-guided puncture of pulmonary nodules in dog models.Methods Five healthy dogs were selected,and 4 target lung rings were implanted in each dog to build pulmonary nodule models.Deferring to crossover design,CT-guided punctures were performed with or without AR navigation 2 and 4 weeks after successful modeling,respectively,while punctures with AR navigation were regarded as AR group and the others as conventional group,respectively.The time duration of puncturing,the times of CT scanning,of needle adjustment,and the deviation distance between needle pinpoint to the center of pulmonary nodule shown on three-dimensional reconstruction were compared between groups.Results The duration time of puncture in AR group and conventional group was(13.62±5.11)min and(20.16±4.76)min,respectively.In AR group,the times of CT scanning,of needle adjustment,and the deviation distance was 2.40±0.50,2.75±0.44 and(2.94±1.92)mm,respectively,while in conventional group was 3.10±0.64,3.70±0.57 and(4.90±3.38)mm,respectively.The introduction of AR navigation was helpful to shortening the duration of puncture,reducing times of CT scanning and needle adjustment,also decreasing positioning error of needle pinpoint(all P＜0.05).In contrast,the variance of puncture sequences and dogs had no obvious effect on the results(both P＞0.05).Conclusion AR navigation system could improve accuracy and efficiency in CT-guided puncture of pulmonary nodules in dog models.

Objective To study the diagnostic and therapeutic value of endoscopic irrigation for uncomplicated acute colonic diverticulitis.Methods From June 2021 to March 2022,4 patients suspected uncomplicated acute colonic diverticulitis who then underwent colonoscopy,and endoscopic irrigation treatment was performed after confirming.The endoscopic imaging of acute colonic diverticulitis was summarized.The changes of abdominal pain symptoms and prognosis of the patients were evaluated.The levels of white blood cell(WBC)and C-reactive protein(CRP)in serum before and after treatment were measured.Results 4 patients were diagnosed as uncomplicated acute colonic diverticulitis underwent colonoscopy.Two cases were located in the ascending colon and the other two in the cecum.Endoscopic imaging characteristics included mucosal hyperemia and swelling of diverticular orifice and nearby area,purulent secretions,purulent fur and fecalith at the diverticular orifice.After treatment,the symptom of abdominal pain was relieved,the levels of WBC and CRP in serum were lower than before treatment.Conclusion Endoscopic irrigation has a useful diagnostic and therapeutic value for uncomplicated acute diverticulitis of the colon.It is worthy of further clinical study.

Objective:To explore the effect of mind mapping-based health education on the discharge readiness of patients undergoing laryngectomy.Methods:From August 2022 to July 2023, convenience sampling was used to select patients who underwent first-time laryngectomy in the Otolaryngology and Head and Neck Surgery at Beijing Tongren Hospital as participants. The patients were divided into an observation group and a control group according to admission time, with 60 cases in each group. The control group received routine health education, while the observation group was treated with mind mapping-based health education. After the intervention, the discharge readiness and discharge guidance quality of two groups of patients were compared.Results:A total of 120 questionnaires were distributed and 120 valid questionnaires were collected, with a valid response rate of 100.00%. After the intervention, the discharge readiness and discharge guidance quality scores of the observation group were higher than those of the control group, and the difference was statistically significant ( P<0.01) . Conclusions:Mind mapping-based health education can improve the discharge guidance quality and discharge readiness for patients undergoing laryngectomy and provide a reference for medical and nursing staff.

Objective To observe the clinical efficacy of Redo-Bentall surgery in the reoperation of aortic root lesions.Methods A retrospective analysis was performed on 46 patients who underwent Redo-Bentall surgery for aortic root lesions in our department from June 2010 to April 2022.They were 35 males and 11 females,at a mean age of 43.37±12.79 years,in 4.96±6.76 years since the last operation.General clinical data in perioperative period and during follow-up were collected and analyzed.Kaplan-Meier survival analysis was used to compare the survival rates of each etiological group.Results There were 9 cases of central end otitis,12 cases of Behset's disease,and 25 cases of other causes.After operation,4 cases(8.70％)experienced cardiac arrest,4 cases(8.70％)renal failure,2 cases(4.35％)gastrointestinal bleeding,2 cases(4.35％)new third-degree atrioventricular block and 2 cases(4.35％)permanent pacemaker placement.In perioperative period,3 cases(6.52％)died in hospital.During a mean follow-up of 5.03±3.27 years after discharge,5 cases(11.63％)were lost to follow-up,1 case died(2.33％),1 case had lacunar infarction(2.33％),and no severe bleeding or embolism complications was observed in the rest patients.The long-term survival rate was significantly lower in the endocarditis group(62.3％)and the Behcet's disease group(70％)than the other etiological groups(80％,P＜0.05).Conclusion The application of Redo-Bentall in the reoperation of aortic root lesions is safe and effective,but the survival rate is quite lower in the patients with infective endocarditis and Behcet's disease.

Purpose To explore the application value of contrast enhancement boost(CE-Boost)technique in image quality of tumors and their feeding arteries in preoperative evaluation of renal cancer patients.Materials and Methods A total of 36 renal cancer patients in People's Hospital Affiliated to Shandong First Medical University from August 2022 to May 2023 with pathologically confirmed were retrospective collected.All patients underwent renal enhanced CT.The cortical phase images were post-processed using the CE-Boost technique to obtain CE-Boost images.The cortical phase images were set as group A and the CE-Boost images were set as group B.The CT value and image noise(SD)of abdominal aorta,renal artery,tumor and its adjacent renal cortex,and SD of the vertical spinal muscle on both sides of the spine of two groups were measured and recorded,and then the signal-to-noise ratio and contrast-to-noise ratio of tumor,abdominal aorta and renal artery were calculated.The image quality of the tumor,tumor feeding artery and renal artery was scored on 4 points by 2 doctors with double-blind method.Results The signal-to-noise ratio,contrast-to-noise ratio and CT value of group B were significantly higher than those of group A(t=-27.385--5.267,all P<0.05).The SD of tumor,abdominal aorta,right and left renal artery were not significantly different between group A and B(t=-1.849-0.993,all P>0.05).The subjective score of tumor in group A and B were no significant difference(Z=-1.490,P=0.136).However,the subjective score of tumor feeding arteries and renal arteries were significantly higher in group B than in group A(Z=-3.512,P=0.000;Z=-2.127,P=0.033).Conclusion The CT CE-Boost technique can improve the image quality of renal enhanced CT and provide visualization of tumor feeding arteries.