In modern society, sugary foods have become an integral part of many people′s lives. However, excessive sugar consumption has adverse effects on both overall health and oral health, serving as a contributing factor to the global increasing incidence in oral diseases, cardiovascular diseases, cancers, obesity, and diabetes. In response to the health risks related to high-sugar diets, the World Health Organization (WHO) and World Dental Federation (FDI) have proposed initiatives and recommendations, with various governments implementing different policies and strategies to reduce sugar intake. Chinese government has also taken proactive measures. The "Healthy China Action (2019-2030)" initiative introduced by the State Council in 2019 established a crucial benchmark in limiting the average daily intake of added sugar to 25 g per person forward to 2030. Experts from Chinese Center for Disease Control and Prevention and the field of oral health have meticulously examined the impacts of sugar reduction on oral health, as well as strategies, methods, and practical considerations related to reducing sugar intake through several meeting and wrote the "Expert consensus: reducing free-sugar for caries prevention", which was subsequently reviewed and revised based on the feedback from multiple stakeholders. They have conducted thorough analyses of global trends in sugar reduction and best practices to provide valuable insights to China for crafting effective policies and strategies on sugar reduction. This consensus mainly includes the classification of free sugars, the latest scientific evidence on dental caries, recommendations from WHO on sugar-sweetened beverage taxes, nutrition labeling, advertising, food reform, adjusting supply systems, education, and promotion strategies, as well as sugar reduction actions taken by various governments around the world. Combining the actual situation in China, policy recommendations and authoritative popular science knowledge on sugar reduction for caries prevention to public are proposed to advocate for experts in multiple fields to focus on sugar reduction for caries prevention, promote the work process, and provide the scientific basis for oral health educators.

This consensus was developed by the Orthodontic Society of the Chinese Stomatological Association to provide a systematic, scientific, and practical guideline for informed consent in orthodontic care. Orthodontic treatment is typically lengthy, highly individualized, and involves multiple factors such as growth and development, occlusal function, and facial esthetics. Rapid technological advances and diverse risk profiles make the traditional reliance on orthodontist experience or institutional templates insufficient to ensure patients′ full understanding and autonomous decision-making. To address this, the expert panel conducted extensive reviews of domestic and international guidelines, analyzed representative dispute cases, and performed multicenter patient-clinician surveys. Using a multi-round Delphi method, the group established a standardized informed consent framework covering the initial consultation, treatment, and retention phases. The consensus emphasizes that informed consent is not only a fundamental legal and ethical requirement but also a key step in building trust, improving patient compliance, and enhancing treatment satisfaction. Orthodontists should clearly and comprehensively explain treatment plans, potential risks, uncertainties, and associated costs, while respecting the autonomy of patients or guardians, and maintain continuous communication and dynamic evaluation throughout the treatment process. The release of this consensus provides unified and authoritative guidance for clinical orthodontics, helping to standardize informed consent, enhance its transparency, safeguard patient rights, reduce medical risks, and promote high-quality, sustainable development of orthodontic practice.

Objective This study aims to elucidate the functional mechanism through which seminal plasma exosomal miR-26a-5p and its target genes contribute to idiopathic teratozoospermia,with emphasis on their regulatory pathways in sperm morphogenesis defects,thereby establishing a theoretical foundation for novel diagnostic markers and targeted therapies.Methods A case-control study design was adopted,enrolling 154 male subjects(84 in the teratozoospermia group[TZS]and 70 in the normal control group[NC]).Seminal plasma exosomes were isolated to screen differentially expressed miRNAs,followed by prediction and analysis of target genes and signaling pathways.Dual-luciferase reporter gene assays were employed to validate the direct binding of miR-26a-5p to PTEN.Quantitative real-time PCR and Western blot were used to measure miRNA and protein expression levels.Spearman correlation analysis evaluated relationships between miR-26a-5p,PTEN,and sperm morphological parameters,while ROC curve analysis assessed diagnostic efficacy.Results Seminal plasma exosomal miRNA sequencing identified 11 differentially expressed miRNAs,with miR-26a-5p significantly upregulated in the TZS group(P<0.05)and negatively correlated with the percentage of normal sperm morphology in TZS(r=-0.762,P<0.05).PTEN was confirmed as a direct target of miR-26a-5p,with its expression significantly reduced in the TZS group(P<0.05)and positively correlated with normal sperm morphology(r=0.821,P<0.05).A negative correlation was observed between miR-26a-5p and PTEN(r=-0.878,P<0.05).Dual-luciferase assays demonstrated that miR-26a-5p specifically inhibited PTEN 3'UTR activity(45%reduction in luciferase activity,P<0.05).Functional enrichment analysis revealed that the miR-26a-5p-PTEN axis exacerbates oxidative stress,DNA damage,and abnormal spermatocyte division by regulating the PI3K/AKT/mTOR,p53,Wnt/β-catenin,and NF-κB pathways.ROC analysis showed diagnostic efficacy for teratozoospermia with AUCROC values of 0.785(sensitivity 78.9%,specificity 71.3%)for miR-26a-5p and 0.754(sensitivity 73.3%,specificity 75.1%)for PTEN.Conclusions miR-26a-5p suppresses PTEN through targeted inhibition,activating PI3K/AKT/mTOR signaling pathways while impairing DNA repair functions.This cascade leads to accumulated oxidative stress and sperm morphological abnormalities.The combined pattern of elevated seminal plasma exosomal miR-26a-5p expression and reduced PTEN levels demonstrates diagnostic potential for idiopathic teratozoospermia,with its molecular mechanism providing a theoretical foundation for biomarker development.Targeted silencing of miR-26a-5p,either alone or in combination with AKT/mTOR inhibitors and antioxidant therapy,may represent a novel strategy for improving sperm morphology.

Objective:To compare the accuracy of two-dimensional (2D) ultrasound with three-dimensional (3D) reconstruction and conventional 2D ultrasound in measuring bladder volume in pelvic tumor patients, using computed tomography (CT) as the reference.Methods:A set of bladder phantoms were constructed to compare CT and ultrasound measurements with actual injected volumes. Clinical data of 104 pelvic tumor patients who received radiotherapy at the Cancer Hospital, Chinese Academy of Medical Sciences between August and December 2023 were retrospectively analyzed. Portable transabdominal ultrasound was used to obtain the largest bladder cross-section, and the maximum diameters in the left-right (LR), anterior-posterior (AP), and superior-inferior (SI) directions (D LR, D AP, D SI) were measured. The 2D ultrasound volume was calculated as V=0.523 × D LR × D AP × D SI. Full-bladder transverse videos were recorded and processed in Matlab R2016a through frame extraction(60 images), followed by contrast enhancement, edge detection segmentation, cubic spline interpolation, and image smoothing to achieve 3D reconstruction. Paired t-tests, intraclass correlation coefficients (ICC), and Bland-Altman analyses were performed to assess systematic bias and consistency between ultrasound methods and CT. Multivariate linear regression was applied to evaluate the effects of slice thickness, posture, age, and other factors on CT measurements. Results:In the phantom study, deviations of 2D ultrasound and CT from actual injected volumes were (0.73±3.05) ml ( t=-0.48, P=0.667) and (1.52±11.27) ml ( t=0.17, P=0.875), with ICC values>0.999. In the clinical study, mean bladder volumes measured by 3D-reconstructed ultrasound, conventional 2D ultrasound, and CT were (373.5±153.31), (314.89±135.28), (382.82±157.57) ml, respectively. The 3D-reconstructed method showed excellent agreement with CT (ICC=0.98; Bland-Altman mean bias=-9.32 ml, P=0.096), while 2D ultrasound also showed good consistency (ICC=0.91), but significantly underestimated bladder volume (mean bias=-67.93 ml, P<0.001). Subgroup analysis revealed that 2D ultrasound had the best agreement with CT in the medium-volume group (200-500 ml, ICC=0.902), whereas agreement decreased in the small-volume (<200 ml, ICC=0.884) and large-volume (>500 ml, ICC=0.840) groups (all P<0.001). The 3D-reconstructed ultrasound maintained excellent consistency with CT across all subgroups (all ICC>0.95), and the measured bladder volume was not statistically significant. Multivariate regression showed that slice thickness, posture, age, sex, and surgical status had no significant effects on CT measurements. Conclusions:Ultrasound with 3D reconstruction enables accurate bladder volume monitoring through true 3D contour reconstruction, while conventional 2D ultrasound systematically underestimates bladder volume and requires correction.

Objective To explore the application value of different deep learning models in predicting the lung cancer spread through air spaces(STAS).Methods A total of 203 patients with stage Ⅰ—Ⅱ primary lung cancer were included,of which 74 were STAS-positive and 129 were STAS-negative.Patients were randomly divided into training set(142 cases)and test set(61 cases)at a 7∶3 ratio.Region of interest(ROI)was outlined using ITK-SNAP software,facilitating the extraction of tumor and peritumoral images.The Resnet18,Inception_v3,and Vision Transformer(Vit)were employed for model training and feature extraction.Feature selection was performed by the least absolute shrinkage and selection operator(LASSO)algorithm and Spearman correlation coefficient,followed by the establishment of a predictive model using the Naive Bayes machine learning algorithm.The receiver operating characteristic(ROC)curve was drawn to compare the prediction performance of each model.The assessment of calibration was performed using calibration curves,and the evaluation of clinical application value was conducted using decision curve analysis(DCA).Results The area under the curve(AUC)for the training and test sets were as follows:the training set Resnet18 0.849-0.930,Inception_v3 0.848-0.888,Vit 0.747-0.842;and the test set Resnet18 0.796-0.846,Inception_v3 0.783-0.804,Vit 0.690-0.796.In tumor-peritumoral images,Resnet18 had a higher calibration and better clinical net benefit,while Vit showed superior calibration and clinical net benefit when only tumor tissue was considered.Conclusion Deep learning models can effectively predict lung cancer STAS,providing more decision support for the preoperative diagnosis and treatment of stages Ⅰ—Ⅱ lung cancer.

BACKGROUND:Relatively or absolutely active bone resorption function of osteoclasts is one of the causative factors of osteoporosis. Therefore,how to inhibit the formation of osteoclasts and reduce the bone resorption activity is a key element in the prevention and treatment of osteoporosis. Liquiritin,which is derived from licorice,plays a role in the clinical treatment of bone diseases,but there are fewer studies addressing the application of liquiritin in osteoporosis and the mechanism is unknown.OBJECTIVE:To confirm,through both in vivo and in vitro experiments,that liquiritin inhibits osteoclast differentiation and alleviates bone loss.METHODS:Cell counting kit-8 was used to detect whether Liquiritin exerts toxic or proliferative effects on mouse bone marrow-derived macrophages,and tartrate-resistant acid phosphatase staining was performed to observe the effect of liquiritin in inhibiting osteoclast differentiation. The affinity of liquiritin binding to proteins related to osteoclast differentiation was verified by network pharmacology. RT-PCR and western blot assays were performed to detect the inhibitory effects of liquiritin on osteoclast-specific protein and gene expression as well as relevant signaling pathways. Finally,the mitigating effect of liquiritin on bone loss was verified in the C57BL/6J mouse osteoporosis model.RESULTS AND CONCLUSION:Liquiritin,at concentrations of 20 μmol/L and below,could inhibit the formation and differentiation of osteoclasts. Concurrently,it exhibited a high affinity with osteoclast-specific proteins such as nuclear factor of activated T-cells 1,Cathepsin K,c-Fos,and matrix metalloproteinase 9,and reduced the relative expression levels of these genes and proteins. Liquiritin could also effectively lower the phosphorylation expression level of JNK in the MAPK signaling pathway at the 15th,30th,45th,and 60th minutes,and it could salvage the degradation of nuclear factor-κB inhibitor α in the nuclear factor-κB signaling pathway at the 60th minute. In vivo experiments demonstrated that liquiritin could mitigate bone loss caused by osteoclasts and improve parameters related to trabecular bone. To conclude,liquiritin possesses the capacity to inhibit osteoclast differentiation and alleviate bone loss,thereby exerting a protective role against osteoporosis.

Objective To investigate the characteristics of laryngeal diadochokinesis(LDDK)in children with functional articulation disorder(FAD)using different corpus.Methods A total of 23 children with FAD and 21 typically developing(TD)children,aged 4-6,from Shanghai's general kindergartens were recruited.Five types of acoustic parameters were collected:average rate and jitter(％)of LDDK(/?a/,/ha/,/??/,/h?/),the diadochoki-nesis rate(/pataka/),the jitter and shimmer of the vowel/a/,maximum phonation time(MPT).Differences across different corpora of the LDDK were analyzed between the two groups.Results ① Between-group compari-son:the rate of/?a/was significantly lower in FAD children than in TD children(P＜0.05).② Different corpora comparison:the LDDK speed of/?a/-/ha/was significantly different for both groups,/?a/-/??/was significantly different in TD children,and/ha/-/h?/was significantly different in FAD children.The LDDK jitter of/ha/-/h?/was significantly different among FAD children.Conclusion The LDDK of children with FAD is weaker than the TD children,and both groups exhibiting varying abilities across different corpora.

Objective To investigate the effect of percutaneous balloon compression on the ocular surface in the treatment of trigeminal neuralgia (TN). Methods A total of 30 patients (60 eyes) diagnosed with TN who underwent parallel balloon compression surgery from May 2023 to June 2024 were included in the study. Corneal sensation,Schirmer Ⅰ test results,tear film break-up time (TBUT),and corneal fluorescein staining scores were evaluated in both eyes one day before and one day after the surgery. Results The tear secretion values and TBUT in both eyes of TN patients were lower than normal. Preoperatively,there were no statistically significant differences in various ocular examinations between the two eyes (P=0.144,P=0.072,P=0.069,P=1.000). One day postop-eratively,the corneal sensitivity,tear secretion value,and TBUT of the affected eye were significantly lower com-pared to the contralateral eye (P<0.01,P<0.01,P<0.01),while the fluorescein staining score showed a slight increase but was not statistically significant (P=0.157). Compared to preoperative levels,the postoperative corneal sensitivity,tear secretion value,and TBUT of the affected side were significantly reduced (P<0.01,P<0.01,P<0.01),while the fluorescein staining score showed a slight increase but remained non-significant (P=0.157). Conclusions TN patients patients exhibit reduced bilateral tear secretion and compromised tear film stability. Following balloon compression surgery,the corneal sensitivity of the affected eye diminishes,leading to a further decline in tear secretion and tear film stability. Consequently,it is imperative that TN patients receive ophthalmic intervention,treatment,and regular follow-up,irrespective of whether they undergo surgery.

Objective To review the diagnostic information of 3368 viral hepatitis B inpatient cases reported by some healthcare institutions in Qinghai Province in the National Notifiable Disease Report System(NNDRS)in 2021,and to analyse the consistency of their reports and influence factor.Methods The study used the typical survey method to study 3368 hospitalized cases of hepatitis B reported by 32 medical institutions in Qinghai Province in 2021 from July 2022 to April 2023.The consistency between the reported classification and the reviewed classification was evaluated by reviewing diagnostic information of the cases,combined with the Kappa consistency test,and the consistency-influencing factors were analysed in a univariate and multivariate analysis.Results The consistency between acute,chronic,and unclassified reporting classifications and review classifications was poor(Kappa＜0.40);the consistency between acute and chronic review was poor(Kappa＜0.40).The main influence factor of the consistency of review included the level of medical institution,the patient's gender,occupation,past history,and the unit of diagnosis of initial onset of illness.Provincial medical institutions reported higher consistency,and male cases and herder cases had better consistency than female cases and other occupations.Review consistency of cases with past history was better than that of cases with unclear past history.Conclusion The consistency of diagnosis and reporting of hepatitis B cases in healthcare institutions in Qinghai Province in 2021 was low,with problems of inaccurate classification and duplicate reporting.It is recommended to strengthen the training and supervision of healthcare institutions,standardise the filling of'attached card'information,and promote the hepatitis B core antibody IgM test to improve the classification and diagnosis of acute and chronic hepatitis B,so as to comprehensively improve the accuracy of the diagnosis and reporting of hepatitis B cases.

Objective To explore the application value of different deep learning models in predicting the lung cancer spread through air spaces(STAS).Methods A total of 203 patients with stage Ⅰ—Ⅱ primary lung cancer were included,of which 74 were STAS-positive and 129 were STAS-negative.Patients were randomly divided into training set(142 cases)and test set(61 cases)at a 7∶3 ratio.Region of interest(ROI)was outlined using ITK-SNAP software,facilitating the extraction of tumor and peritumoral images.The Resnet18,Inception_v3,and Vision Transformer(Vit)were employed for model training and feature extraction.Feature selection was performed by the least absolute shrinkage and selection operator(LASSO)algorithm and Spearman correlation coefficient,followed by the establishment of a predictive model using the Naive Bayes machine learning algorithm.The receiver operating characteristic(ROC)curve was drawn to compare the prediction performance of each model.The assessment of calibration was performed using calibration curves,and the evaluation of clinical application value was conducted using decision curve analysis(DCA).Results The area under the curve(AUC)for the training and test sets were as follows:the training set Resnet18 0.849-0.930,Inception_v3 0.848-0.888,Vit 0.747-0.842;and the test set Resnet18 0.796-0.846,Inception_v3 0.783-0.804,Vit 0.690-0.796.In tumor-peritumoral images,Resnet18 had a higher calibration and better clinical net benefit,while Vit showed superior calibration and clinical net benefit when only tumor tissue was considered.Conclusion Deep learning models can effectively predict lung cancer STAS,providing more decision support for the preoperative diagnosis and treatment of stages Ⅰ—Ⅱ lung cancer.