Objective:To explore the role of long noncoding RNA(lncRNA) CCDC18-AS1 in parathyroid carcinoma(PC) diagnosis.Methods:This cross-sectional study included 55 patients with primary hyperparathyroidism treated at Beijing Shijitan Hospital from 2013 to 2024. Of these, 12 patients were diagnosed with PC and 43 with parathyroid adenoma(PA). Tissue samples and clinical data were collected, and lncRNA CCDC18-AS1 expression were measured using real-time quantitative PCR(RT-qPCR).Results:LncRNA CCDC18-AS1 expression was significantly higher in the PC group than that in the PA group( P=0.003). It was identified as an independent risk factor for PC, independent of age, sex, or serum calcium levels. Among patients with hypophosphatemia, no significant differences in lncRNA CCDC18-AS1 expression was observed between the PC and PA groups. However, in patients with normal serum phosphate levels, lncRNA CCDC18-AS1 expression was significantly higher in the PC group( P<0.001) and showed a positive correlation with serum phosphorus concentration( P=0.001). The area under the receiver operating characteristic(ROC) curve(AUC) for lncRNA CCDC18-AS1 in PC diagnosis was 0.758(95% CI 0.620-0.866, P=0.005), comparable to that of lncRNA plasmacytoma variant translocation 1(PVT1). Among patients with normal serum phosphate, the AUC for lncRNA CCDC18-AS1 increased to 0.969(95% CI 0.835-0.999, P<0.001), with 100% sensitivity and 92.31% specificity, suggesting superior diagnostic performance compared to PVT1(0.840, 95% CI 0.653-0.950, P=0.001). Conclusions:LncRNA CCDC18-AS1 may serves as a potential biomarker for PC diagnosis, with greater diagnostic value in patients with normal serum phosphorus levels.

Objective:To explore the role of long noncoding RNA(lncRNA) CCDC18-AS1 in parathyroid carcinoma(PC) diagnosis.Methods:This cross-sectional study included 55 patients with primary hyperparathyroidism treated at Beijing Shijitan Hospital from 2013 to 2024. Of these, 12 patients were diagnosed with PC and 43 with parathyroid adenoma(PA). Tissue samples and clinical data were collected, and lncRNA CCDC18-AS1 expression were measured using real-time quantitative PCR(RT-qPCR).Results:LncRNA CCDC18-AS1 expression was significantly higher in the PC group than that in the PA group( P=0.003). It was identified as an independent risk factor for PC, independent of age, sex, or serum calcium levels. Among patients with hypophosphatemia, no significant differences in lncRNA CCDC18-AS1 expression was observed between the PC and PA groups. However, in patients with normal serum phosphate levels, lncRNA CCDC18-AS1 expression was significantly higher in the PC group( P<0.001) and showed a positive correlation with serum phosphorus concentration( P=0.001). The area under the receiver operating characteristic(ROC) curve(AUC) for lncRNA CCDC18-AS1 in PC diagnosis was 0.758(95% CI 0.620-0.866, P=0.005), comparable to that of lncRNA plasmacytoma variant translocation 1(PVT1). Among patients with normal serum phosphate, the AUC for lncRNA CCDC18-AS1 increased to 0.969(95% CI 0.835-0.999, P<0.001), with 100% sensitivity and 92.31% specificity, suggesting superior diagnostic performance compared to PVT1(0.840, 95% CI 0.653-0.950, P=0.001). Conclusions:LncRNA CCDC18-AS1 may serves as a potential biomarker for PC diagnosis, with greater diagnostic value in patients with normal serum phosphorus levels.

Objective To investigate the relationship between interlukin-10(IL-10)gene polymorphisms and acute kidney injury(AKI)and its related mechanisms.Methods A prospective study was conducted on 100 patients with AKI admitted to our hospital from March 2021 to March 2023,who were selected as the study group.Following the 1∶1 pairing principle,100 healthy individuals who underwent physical examinations during the same period were included as the control group.General data,IL-10 genotypes,and gene frequency distributions of the two groups were compared.The factors influencing AKI were assessed using a logistic regression analysis,and the interaction between IL-10gene polymorphisms and conventional risk factors was analyzed using multifactor dimension reduction(MDR).Results The quantitative values of serum creatinine(sCr),blood urea nitrogen(BUN),and urine protein in the study group were higher than those in the control group.The proportion of the GG genotype at IL-10-1082 was lower than that in the control group,and the proportions of the AA genotype and A allele were higher than those in the control group(P<0.05).Logistic regression analysis showed that BUN(OR=4.487),urinary protein quantitation(OR=5.905),sCr(OR=3.573),AA genotype at position 1082(OR=4.823),and the A allele(OR=4.479)were risk factors for AKI(P<0.05).Interaction display,IL-10-1082 polymorphism×sCr,IL-10-1082 polymor-phism×BUN,IL-10-1082 polymorphism×urinary protein quantification,and IL-10-1082 polymorphism×sCr×BUN×urinary protein quantification models exhibited good accuracy and cross-consistency(P<0.05).Conclusion IL-10gene polymorphisms are strongly associated with the development of AKI.

Objective:To analyze the current situation and effect of mobile applications for physical activity management in China.Methods:In this systematic review, search terms such as “exercise”, “sports”, “exercise”, “physical activity” and “mobile health” were used to retrieve the applications for physical activity management in the IOS Application Store developed in mainland of China. Then the Mobile Application Rating Scale (MARS) and the Behavior Change Technology (BCT) were used to evaluate the quality of the applications and analyze the behavior change technologies that applications adopted. Moreover, a systematic review of relevant experimental studies was applied to summarize the effectiveness of the applications in promoting physical activity.Results:Total of 141 applications were included in this analysis, and 58 behavior change techniques in 16 categories were applied. The most frequently used 4 categories of BCT were behavior comparison (67.4%), repetition and substitution (67.4%), knowledge construction (67.4%), feedback and monitoring (58.2%). The overall objective quality score of MARS was 3.17±0.42, of which, the score of engagements, functionality, aesthetic design and information quality was 2.67±0.73, 3.75±0.54, 3.44±0.59 and 2.83±0.55, respectively. The number of BCT adopted in each application had a linear relationship with the application′s objective quality score in MARS ( B=0.023, 95% CI: 0.018-0.029) and user rating ( B=0.040, 95% CI: 0.019-0.060) (both P<0.001). A total of 4 articles were included to test the effects of techniques (i.e., physical activity behavior monitoring, physical activity planning and physical activity guidance) in 4 applications. The overall quality of the literatures was good. The main outcomes were physical activity duration (3 articles) and step count (1 article). Compared with those who did not use the application or only used the accelerometer to monitor physical activity, subjects who used the application to monitor physical activity had significant longer physical activity durations and step count (both P<0.05). Conclusions:The number, function and technology of physical activity management applications in China are abundant, but the quality of the applications is moderate. The number of BCT is an important factor in evaluating application′s quality, but its effect on behavior change is still not clear.

In orthodontic and orthognathic practice, cephalometric analysis is an integral tool throughout the clinical process. However, as landmark identification is still unautomated, both the conventional and semiautomated approaches are open to considerable subjectivity and could be time-consuming for inexperienced clinicians. Deep learning (DL), a state-of-the-art artificial intelligence (AI) technique, is highly effective in image recognition. In recent years, many studies have focused on the application of DL in cephalometric analysis, including automated landmark detection, automated diagnosis, cervical vertebral maturation stage determination, adenoid hypertrophy analysis and upper airway identification. Studies show that DL can effectively improve the efficiency of cephalometric analysis. In most studies, the accuracy of DL can reach more than 80%, and its difference from the gold standard is clinically acceptable, demonstrating good potential for future applications. However, most studies are limited to landmark detection, and the broadness and richness of the training dataset are limited. Future studies should broaden the research scope, improve the algorithm, elevate the richness of the datasets, and combine DL with other AI algorithms to improve its accuracy, stability and generalizability.

Diabetic retinopathy (DR) is the main cause of blindness in diabetic patients. Early diagnosis and intervention are essential to improve the quality of life of patients with DR. Choroidal vascularity index (CVI) is the ratio of choroidal luminal area to total area, which can reflect the structure and blood flow of the choroid, and has been used to evaluate the choroidal condition in various eye diseases. CVI has shown great potential in the prediction, early intervention, disease assessment, and prognosis of DR. The relationship between CVI and photoreceptors needs more research, and CVI may be used as a predictive indicator of photoreceptor health and visual prognosis. In addition, the study of CVI at different layers of the choroid is limited by the accuracy of stratification and the repeatability of measurement. Artificial intelligence and other technologies may provide solutions for this. In the future, through more comprehensive study and the help of artificial intelligence, the value of CVI will be further enriched, which is of great significance for the elucidation of the pathogenesis of DR and serving the clinic.

Objective:To observe the changes in the structure and function of the retina in diabetic patients, and preliminarily explore the changes in the characteristics of neuropathy and microvascular damage in different degrees of diabetic retinopathy (DR).Methods:A prospective controlled study. From May to December 2020, 63 eyes of 63 patients with type 2 diabetes who were recruited from the Department of Ophthalmology of Shandong Provincial Hospital and 40 healthy volunteers with age and sex matching in the same period (control group) were included in the study. All subjects underwent optical coherence tomography angiography (OCTA) and portable non-mydriatic visual electrophysiological diagnosis system RETeval. OCTA was used to measure the thickness of the retinal nerve fiber layer (pRNFL) around the optic disc, the blood flow density of theradial peripapillary capillary (RPC) around the optic disc, and the thickness of the macular ganglion cell complex (GCC). The "DR evaluation plan" mode of the RETeval device was used to perform flash electroretinogram examination, and the "DR evaluation score" measured by the system was recorded. According to the DR grading standard established in the early treatment of DR research, DR was classified. Diabetic patients were divided into non-DR (non-DR) group, mild to moderate non-proliferative DR (mNPDR) group, and severe non-proliferative DR (sNPDR) group, Proliferative DR (PDR) group, with 12, 16, 18, and 17 eyes respectively. The comparison of pRNFL thickness, GCC thickness, RPC blood flow density and "DR assessment score" between groups was performed by one-way analysis of variance; the correlation between pRNFL thickness and RPC blood flow density was analyzed by Pearson correlation analysis.Results:Compared with the control group, the overall, upper and lower thickness of the macular GCC of the affected eyes in different degrees of DR groups were significantly thinner, and the difference was statistically significant ( F=13.560, 15.840, 5.480; P<0.05). Compared with the control group, the overall pRNFL ( F=6.120), upper part ( F=6.310), lower part ( F=5.330), upper nose ( F=7.350), lower nose ( F=2.690), the upper nasal side ( F=4.780), the upper temporal side ( F=3.710), and the lower temporal side ( F=3.750) became thinner, the difference was statistically significant ( P<0.05). Correlation analysis results showed that the whole optic disc, upper part, lower part, upper nose, upper nasal side, lower nasal side, and lower temporal RPC blood flow density were positively correlated with pRNFL thickness ( r=0.260, 0.256, 0.275, 0.489, 0.444, 0.542, 0.261; P<0.01). The "DR evaluation scores" of the eyes in the control group, non-DR group, mNPDR group, sNPDR group, and PDR group were 12.71±5.62, 22.18±3.77, 24.68±2.41, 24.98±2.78, 29.17±7.98 points; the DR lesions were more severe, the evaluation score were higher, and the difference was statistically significant ( F=1.535, P<0.01). Conclusion:Compared with the control group, the macular GCC, pRNFL thickness and RPC blood flow density of diabetic patients are significantly reduced; the "DR evaluation score" is increased, and it is related to the severity of DR.

Objective:To investigate the value and influence factors of preoperative and intraoperative localization of ectopic hyperparathyroidism (EHPT).Methods:Results of 99mTc-sestamibi ( 99mTc-MIBI), neck ultrasound, contrast CT and intraoperative local venous parathyroid hormone (IOLVPTH) were retrospectively analyzed in 205 patients with primary hyperparathyroidism (PHPT) suspected of EHPT. Results:Incidence of EHPT was 16.6% (34 cases), and 36 ectopic lesions were detected. The proportion of EHPT in antero-superior mediastinum, intrathyroidal, in the retropharyngeal region, in carotid sheath, in the prevertebral region and intrapericardial were 44.1% (15 cases), 29.4% (10 cases), 11.8% (4 cases), 5.9% (2 cases), 5.9% (2 cases) and 2.9% (1 cases), respectively. Contrast CT was the most sensitive (86.1%, 31 lesions/36 lesions) for EHPT, followed by 99mTc-MIBI (66.7%, 24 lesions/36 lesions), IOLVPTH monitoring (61.8%, 21 lesions/34 lesions) and neck ultrasound (55.6%, 20 lesions/36 lesions). Contrast CT was most sensitive,100% in detecting deep-located EHPT lesions, whereas IOLVPTH had advantages in detecting intrathyroidal EHPT lesions, with a sensitivity of 100.0%.The combined use of 99mTc-MIBI and neck ultrasound showed a sensitivity of 77.8% in the localization of EHPT. Conclusions:Contrast CT is highly sensitive in the localization of EHPT. The combined use of preoperative imaging and IOLVPTH monitoring helps to higher localization for EHPT.

Objective:To understand the etiological characteristics of an acute gastroenteritis outbreak.Methods:Real-time polymerase chain reaction (PCR) and bacteria cultures were performed for the samples, including stool samples from patients and cooks, environmental swabs, raw food material (chicken meat), collected during the outbreak. Pulsed-field gel electrophoresis, antibiotics susceptibility test and whole-genome sequencing were performed for the Campylobacter jejuni isolates. Results:Four stool samples from patients were positive for Campylobacter jejuni by real-time PCR, in which 1 Campylobacter jejuni strain was isolated from a case who had no antibiotic treatment. Twelve Campylobacter jejuni and 7 Campylobacter coli isolates were obtained from 4 raw chicken meat samples. The Campylobacter jejuni strain isolated from the case was resistant to nalidixic acid, ciprofloxacin, chloramphenicol, florfenicol and tetracycline. The MLST analysis with the whole-genome sequences confirmed that the Campylobacter jejuni isolate from the case belonged to ST10075. Antimicrobial resistance genes cmeABCR, tetO/M and blaOXA-61 were found in the genome of the isolate from the patient by the whole-genome sequencing. No mutation in 23S rRNA was found and the C257T mutation in gyrA was identified in this isolate. Conclusion:Laboratory analysis indicated that Campylobacter jejuni infection might be the major cause of this gastroenteritis outbreak.