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.

OBJECTIVE: To quantitatively evaluate the accuracy of data obtained from liquid-interference surfaces using an intraoral 3D scanner (IOS) integrated with a compressed airflow system, so as to provide clinical proof of accuracy for the application of the compressed airflow system-based scanning head in improving data quality on liquid-interference surfaces. METHODS: The study selected a standard model as the scanning object, adhering to the "YY/T 1818-2022 Dental Science Intraoral Digital Impression Scanner" guidelines, a standard that defined parameters for intraoral scanning. To establish a baseline for accuracy, the ATOS Q 12M scanner, known for its high precision, was used to generate true reference values. These true values served as the benchmark for evaluating the IOS performance. Building on the design of an existing scanner, a new scanning head was developed to integrate with a compressed airflow system. This new design aimed to help the IOS capture high-precision data on surfaces where liquid-interference, such as saliva, might otherwise degrade scanning accuracy. The traditional scanning method, without airflow assistance, was employed as a control group for comparison. The study included five groups in total, one control group and four experimental groups, to investigate the effects of scanning lens obstruction, airflow presence, liquid media, and the use of the new scanning head on scanning process and accuracy. Each group underwent 15 scans, generating ample data for a robust statistical comparison. By evaluating trueness and precision in each group, the study assessed the impact of the compressed airflow system on the accuracy of IOS data collected from liquid-interference surfaces. Additionally, we selected Elite and Primescan scanners as references for numerical accuracy values. RESULTS: The scanning accuracy on liquid-interference surfaces was significantly reduced in terms of both trueness and precision [Trueness: 18.5 (6.5) vs. 38.0 (6.7), P < 0.05; Precision: 19.1 (8.5) vs. 31.7 (15.0), P < 0.05]. The use of the new scanning head assisted by the compressed airflow system significantly improved the scanning accuracy [Trueness: 22.3(7.6) vs. 38.0 (6.7), P < 0.05; Precision: 25.8 (9.6) vs. 31.7 (15.0), P < 0.05]. CONCLUSION The scanning head based on the compressed airflow system can assist in improving the accuracy of data obtained from liquid-interference surfaces by the IOS.
Imaging, Three-Dimensional/methods* ; Humans ; Dental Impression Technique/instrumentation*

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OBJECTIVE To evaluate cerebrospinal fluid(CSF)flow dynamics and volume changes of pulsatile tinnitus(PT)patients caused by sigmoid sinus wall dehiscence(SSWD)with different intracranial pressure via MRI.METHODS Prospective enrolled 35 SSWD-PT patients with intracranial hypertension,25 SSWD-PT patients with normal intracranial pressure and 35 age-,sex-matched healthy controls.Demographic characteristics were recorded.Intracranial pressure was assessed by the index of transverse sinus stenosis(ITSS)and morphology changes.CSF flow dynamics were evaluated via phase-contrast magnetic resonance imaging(PC-MRI)and CSF volume were evaluated via three-dimensional T1-weighted turbo field echo(3D T1-TFE)sequence and ITK-SNAP software.Compared the differences of each index between three groups.RESULTS The mean flux and regurgitant fraction were significantly different among the three groups(P<0.05).The intracranial hypertension group presented significantly decreased mean flux(MF)and significantly increased regurgitant fraction(RF)compared to controls(P<0.017).There were no significant differences in MF and RF of normal intracranial pressure group compared with intracranial hypertension group and control group(P>0.017).There were no statistical differences in age,sex,body mass index,forward flow volume,backward flow volume,mean velocity,peak velocity,stroke volume and CSF volume(P>0.05).CONCLUSION SSW D-PT patients have abnormal changes in CSF,and those with increased intracranial pressure are more obvious.These changes may be associated with abnormal hemodynamics in the sigmoid sinus and the occurrence of PT.

Objective To investigate the effect of Siwu Wuzi Decoction in the treatment of wet age-related macular degeneration(wAMD)on the levels of vascular endothelial growth factor(VEGF),transforming growth factor-β1(TGF-β1),and inflammatory factors in patients.Methods A total of 216 patients with wAMD were randomly divided into western medicine group(n=108)and integrated Chinese and western medicine group(n=108).The western medicine group received conbercept plus photodynamic therapy(PDT),while the integrated Chinese and western medicine group received con-bercept,PDT,and Siwu Wuzi Decoction.Both groups were treated for 3 months.The traditional Chi-nese medicine syndrome scores,best-corrected visual acuity(BCVA),intraocular pressure,VEGF,TGF-β1,inflammatory factor levels[interleukin(IL)-6,IL-13],quality of life[Chinese Low Vision Quality of Life Scale(CLVQOL)],and clinical efficacy were observed in both groups.Results After treatment,the traditional Chinese medicine syndrome scores decreased in both groups,with the scores in the integrated Chinese and western medicine group being lower than those in the western medicine group(P＜0.05).After treatment,BCVA decreased in both groups,with the BCVA in the integrated Chinese and western medicine group being lower than that in the western medicine group(P＜0.05).After treatment,intraocular pressure increased in both groups,but the intraocu-lar pressure in the integrated Chinese and western medicine group was lower than that in the western medicine group(P＜0.05).After treatment,VEGF and TGF-β1 levels decreased in both groups,with the levels in the integrated Chinese and western medicine group being lower than those in the western medicine group(P＜0.05).After treatment,IL-6 and IL-13 levels decreased in both groups,with the levels in the integrated Chinese and western medicine group being lower than those in the western medicine group(P＜0.05).After treatment,CLVQOL scores increased in both groups,with the scores in the integrated Chinese and western medicine group being higher than those in the western medicine group(P＜0.05).The total effective rate of treatment in the integrat-ed Chinese and western medicine group was 97.22％,which was higher than 85.19％in the west-ern medicine group(P＜0.05).Conclusion Siwu Wuzi Decoction has a good therapeutic effect on wAMD,which can alleviate symptoms,restore vision,reduce intraocular pressure,regulate VEGF,TGF-β1,and inflammatory factor levels,and improve quality of life.

Objective To investigate the correlation between single nucleotide polymorphisms(SNPs)of the EGF gene,including rs11569017(A>T),rs2237051(A>G),rs3733625(C>T),and rs4444903(A>G),and the risk of non-small cell lung cancer(NSCLC)in a Han population of Yunnan.Methods A total of 439 patients with NSCLC and 520 healthy controls were recruited in Yunnan Province between January 2022 and December 2023.Genotyping of four SNP loci in the EGF gene was performed using TaqMan probes,followed by analysis of allele,genotype,genetic model,and haplotype distribution frequencies between NSCLC and control groups.Stratified analyses were further conducted based on NSCLC pathological types and clinical stages.Results The rs2237051 locus showed significant differences in allele(P=0.011)and genotype(P=0.042)frequencies between the squamous cell carcinoma(SCC)group and the control group.The frequency of the A allele was lower in the SCC group than in the control group(OR=0.71,95%CI 0.54～1.85),but there was no difference after Bonferroni correction(P>0.0125).Under the log-additive model,the rs2237051-2G/G+A/G genotype was associated with an increased risk of SCC(P=0.01;OR=1.42,95%CI 1.08～1.86).However,the association lost statistical significance after Bonferroni correction(P>0.0125).The haplotype rs11569017-rs2237051-rs3733625-rs4444903 has no difference between the two groups(P>0.0125).The stratified analysis revealed no significant associations between the genetic loci and different disease stages(P>0.0125).Conclusion In the Yunnan Han population,the individuals carrying the rs2237051-A allele of the EGF gene have a significantly lower risk of squamous lung cancer,but further functional experiments are needed to verify the protective mechanism.

In fixed prosthodontics, clear exposure of the preparation margin is the prerequisite for obtaining accurate digital impressions and improving the marginal fit of restorations. To resolve the issues associated with the cord retraction technique, such as pain, acute injury, and prolonged procedural time, this study proposes a new technology for intraoral digital impression taking with pneumatic gingival retraction. The new scanning head blows a high-speed airflow that instantaneously separates the free gingiva, locally exposing the subgingival preparation margin. Combined with the farthest point preservation stitching algorithm based on the distance from the normal vector and high-speed laser scanning photography, it achieves global preparation edge data and gingival reconstruction, realizing painless, non-invasive, and efficient precise acquisition of the preparation margin. Using this new technique, a patient with a full porcelain crown restoration on a posterior tooth was treated. The digital impression revealed a clear margin of the preparation, and the crown made from this data has a good marginal fit.