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 To explore the efficacy of a model combining clinicopathological characteristics and multiparametric MRI features for predicting BRCA-mutated breast cancer(BC).Methods A total of 256 BC patients were retrospectively selected and divided into BRCA mutation group(116 cases)and BRCA wild group(140 cases)based on the BRCA results.Chi-square tests or independ-ent sample t-tests were used to compare the differences in clinicopathological characteristics and multiparametric MRI features between the BRCA mutation group and the wild group.Risk factors for BRCA-mutated BC were identified through univariate and multivariate logistic regression ananlyses,and a combined predictive model was constructed.Receiver operating characteristic(ROC)curve was used to ana-lyze the diagnostic efficacy of the model.Results There were statistically significant differences in T stage,human epidermal growth factor receptor 2(HER-2),Ki-67,non-mass enhancement,enhancement pattern,time-signal intensity curve(TIC)type,and apparent diffusion coefficient(ADC)values between the BRCA mutation group and the wild group.Univariate logistic regression analysis showed that T stage,HER-2,Ki-67,non-mass enhancement,enhancement pattern,TIC type,and ADC values were risk factors for BRCA-mutated BC(P<0.05).Multivariate logistic regression analysis revealed that T stage,HER-2,Ki-67,enhancement pattern,and TIC type were independent risk factors for BRCA-mutated BC(P<0.05).The combined model incorporating T stage,HER-2,Ki-67,enhancement pattern,and TIC type had the best diagnostic efficacy in predicting BRCA-mutated BC,with an area under the curve(AUC)of 0.751.Conclusion The combined model integrating T stage,HER-2,Ki-67,enhancement pattern,and TIC type has good efficacy in predicting BRCA-mutated BC.

Sonodynamic therapy (SDT) can potentially induce immunogenic cell death in tumor cells, leading to the release of ATP, and facilitating the initiation of an immune response. Nevertheless, the enzymes CD39 and CD73 can swiftly convert ATP into immunosuppressive adenosine (ADO), resulting in an immunosuppressive tumor microenvironment (TME). This study introduced a nanomedicine (QD/POM1@NP@M) engineered to reprogram TME by modulating the CD39/CD73/ADO pathway. The nanomedicine encapsulated sonosensitizers silver sulfide quantum dots, and the CD39 inhibitor POM1, while also incorporating homologous tumor cell membranes to enhance targeting capabilities. This integrated approach, on the one hand, stimulates the release of ATP via SDT, thereby initiating the immune response. In addition, it reduced the accumulation of ADO by inhibiting CD39 activity, which ameliorated the immunosuppressive TME. Upon administration, the nanomedicine demonstrated substantial anti-tumor efficacy by facilitating the infiltration of anti-tumor immune cells, while reducing the immunosuppressive cells. This modulation effectively transformed the TME from an immunologically "cold" state to a "hot" state. Furthermore, combined with the checkpoint inhibitor α-PDL1, the nanomedicine augmented systemic anti-tumor immunity and promoted the establishment of long-term immune memory. This study provides an innovative strategy for combining non-invasive SDT and ATP-driven immunotherapy, offering new ideas for future cancer treatment.

Local anesthetics (LAs), such as articaine (AT), exhibit limited efficacy in inflammatory environments, which constitutes a significant limitation in their clinical application within oral medicine. In our prior research, we developed AT-17, which demonstrated effective properties in chronic inflammatory conditions and appears to function as a novel oral LA that could address this challenge. In the present study, we further elucidated the beneficial effects of AT-17 in acute inflammation, particularly in oral acute inflammation, where mitochondrial-related apoptosis played a crucial role. Our findings indicated that AT-17 effectively inhibited lipopolysaccharide (LPS)-induced nerve cell apoptosis by ameliorating mitochondrial dysfunction in vitro. This process involved the inhibition of mitochondrial reactive oxygen species (mtROS) production and the subsequent activation of the NRF2 pathway. Most notably, improvements in mitochondria-related apoptosis were key contributors to AT-17's inhibition of voltage-gated sodium channels. Additionally, AT-17 was shown to reduce mtROS production in nerve cells through the Na⁺/NCLX/ETC signaling axis. In conclusion, we have developed a novel local anesthetic that exhibits pronounced anesthetic functionality under inflammatory conditions by enhancing mitochondria-related apoptosis. This advancement holds considerable promise for future drug development and deepening our understanding of the underlying mechanisms of action.

Objective To explore the diagnostic value of a combined model based on clinicopathological and MRI features in BRCA-mutated ovarian cancer.Methods The data of 132 patients with ovarian cancer who underwent pathology and BRCA gene tes-ting were analyzed retrospectively,including 52 cases of BRCA mutation group and 80 cases of BRCA wild group.The differences of MRI features and clinicopathological features between BRCA mutation group and BRCA wild group were compared.Binary logistic regression was used to construct a joint prediction model and analyze its diagnostic efficiency.Results There were significant differ-ences in cytokeratin 7(CK7),estrogen receptor(ER),Ki-67 and lymphovascular invasion(LVI)between the BRAC mutation group and the BRAC wild group(P＜0.05).Univariate analysis showed that CK7,ER,Ki-67,LVI and the apparent diffusion coefficient(ADC)value of the cystic part of tumor were risk factors for BRCA-mutated ovarian cancer.The combined model based on CK7,ER,Ki-67,LVI,and the ADC value of the cystic part of tumor for the diagnosis of BRCA-mutated ovarian cancer had an area under the curve(AUC)of 0.765.Conclusion CK7,ER,Ki-67,LVI and the ADC value of the cystic part of tumor are risk factors for BRCA-mutated ovarian cancer.The combined model based on the above characteristics demonstrates good diagnostic efficacy for BRCA-mutated ovarian cancer.

Objective To explore the relationship between serum Niemann-pick type C1 like protein1(NPC1L1)and propro-tein convertase subtilisin/kexin type 9(PCSK9)levels and the risk of type 2 diabetes mellitus(T2DM)in Mongolian residents.Methods A total of 72 Mongolian patients with T2DM treated in Peking University Cancer Hospital,Inner Mongolia Hospital and the Affiliated Hospital of Inner Mongolia Medical University from June 2022 to June 2024 were selected as the T2DM group,and 81 healthy people in the same period were selected as the control group.LASSO model and multivariate Logistic regression model were used to screen the risk factors of disease onset.Multiple linear regression was used to analyze the correlation between NPC1L1 and PCSK9 levels and insulin function.Restricted cubic spline(RCS)model was used to analyze the dose-response relationship between NPC1L1 and PCSK9 levels and the incidence of T2DM,and explored the interaction between NPC1L1 and PCSK9 levels on the incidence of T2DM.Results NPC1L1(3.11±0.80 ng/L)and PCSK9(10.63±0.79 ng/L)in T2DM group were significantly higher than those in the control group(0.52±0.22 ng/L,3.21±0.17 ng/L),and the differences were statisti-cally significant(t=27.982,82.443,all P<0.05).NPC1L1(OR=2.458,95%CI=2.364～2.594,P<0.05)and PCSK9(OR=2.905,95%CI=2.541～3.528)were risk factors for T2DM(all P<0.001).The results of multiple linear regression analysis showed that as NPC1L1 and PCSK9 levels increased,FINS,HbA1c,C-P and OGTT levels also increased accordingly.With the increase of NPC1L1 and PCSK9 levels,insulin function also decreased(all P<0.05).The results of RCS model showed that with the increase of NPC1L1 and PCSK9 levels,the probability of T2DM incidence also increased(χ2=22.334,25.537,all P<0.001).No significant interaction was found between NPC1L1,PCSK9 levels and islet function indexes(P>0.05).Conclusion The levels of NPC1L1 and PCSK9 are closely related to the risk of T2DM in Mongolian residents.With the increase of NPC1L1 and PCSK9 levels,the incidence probability of T2DM increases.

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 To explore the efficacy of a model combining clinicopathological characteristics and multiparametric MRI features for predicting BRCA-mutated breast cancer(BC).Methods A total of 256 BC patients were retrospectively selected and divided into BRCA mutation group(116 cases)and BRCA wild group(140 cases)based on the BRCA results.Chi-square tests or independ-ent sample t-tests were used to compare the differences in clinicopathological characteristics and multiparametric MRI features between the BRCA mutation group and the wild group.Risk factors for BRCA-mutated BC were identified through univariate and multivariate logistic regression ananlyses,and a combined predictive model was constructed.Receiver operating characteristic(ROC)curve was used to ana-lyze the diagnostic efficacy of the model.Results There were statistically significant differences in T stage,human epidermal growth factor receptor 2(HER-2),Ki-67,non-mass enhancement,enhancement pattern,time-signal intensity curve(TIC)type,and apparent diffusion coefficient(ADC)values between the BRCA mutation group and the wild group.Univariate logistic regression analysis showed that T stage,HER-2,Ki-67,non-mass enhancement,enhancement pattern,TIC type,and ADC values were risk factors for BRCA-mutated BC(P<0.05).Multivariate logistic regression analysis revealed that T stage,HER-2,Ki-67,enhancement pattern,and TIC type were independent risk factors for BRCA-mutated BC(P<0.05).The combined model incorporating T stage,HER-2,Ki-67,enhancement pattern,and TIC type had the best diagnostic efficacy in predicting BRCA-mutated BC,with an area under the curve(AUC)of 0.751.Conclusion The combined model integrating T stage,HER-2,Ki-67,enhancement pattern,and TIC type has good efficacy in predicting BRCA-mutated BC.

Objective To explore the relationship between serum Niemann-pick type C1 like protein1(NPC1L1)and propro-tein convertase subtilisin/kexin type 9(PCSK9)levels and the risk of type 2 diabetes mellitus(T2DM)in Mongolian residents.Methods A total of 72 Mongolian patients with T2DM treated in Peking University Cancer Hospital,Inner Mongolia Hospital and the Affiliated Hospital of Inner Mongolia Medical University from June 2022 to June 2024 were selected as the T2DM group,and 81 healthy people in the same period were selected as the control group.LASSO model and multivariate Logistic regression model were used to screen the risk factors of disease onset.Multiple linear regression was used to analyze the correlation between NPC1L1 and PCSK9 levels and insulin function.Restricted cubic spline(RCS)model was used to analyze the dose-response relationship between NPC1L1 and PCSK9 levels and the incidence of T2DM,and explored the interaction between NPC1L1 and PCSK9 levels on the incidence of T2DM.Results NPC1L1(3.11±0.80 ng/L)and PCSK9(10.63±0.79 ng/L)in T2DM group were significantly higher than those in the control group(0.52±0.22 ng/L,3.21±0.17 ng/L),and the differences were statisti-cally significant(t=27.982,82.443,all P<0.05).NPC1L1(OR=2.458,95%CI=2.364～2.594,P<0.05)and PCSK9(OR=2.905,95%CI=2.541～3.528)were risk factors for T2DM(all P<0.001).The results of multiple linear regression analysis showed that as NPC1L1 and PCSK9 levels increased,FINS,HbA1c,C-P and OGTT levels also increased accordingly.With the increase of NPC1L1 and PCSK9 levels,insulin function also decreased(all P<0.05).The results of RCS model showed that with the increase of NPC1L1 and PCSK9 levels,the probability of T2DM incidence also increased(χ2=22.334,25.537,all P<0.001).No significant interaction was found between NPC1L1,PCSK9 levels and islet function indexes(P>0.05).Conclusion The levels of NPC1L1 and PCSK9 are closely related to the risk of T2DM in Mongolian residents.With the increase of NPC1L1 and PCSK9 levels,the incidence probability of T2DM increases.

Objective To explore the diagnostic value of a combined model based on clinicopathological and MRI features in BRCA-mutated ovarian cancer.Methods The data of 132 patients with ovarian cancer who underwent pathology and BRCA gene tes-ting were analyzed retrospectively,including 52 cases of BRCA mutation group and 80 cases of BRCA wild group.The differences of MRI features and clinicopathological features between BRCA mutation group and BRCA wild group were compared.Binary logistic regression was used to construct a joint prediction model and analyze its diagnostic efficiency.Results There were significant differ-ences in cytokeratin 7(CK7),estrogen receptor(ER),Ki-67 and lymphovascular invasion(LVI)between the BRAC mutation group and the BRAC wild group(P＜0.05).Univariate analysis showed that CK7,ER,Ki-67,LVI and the apparent diffusion coefficient(ADC)value of the cystic part of tumor were risk factors for BRCA-mutated ovarian cancer.The combined model based on CK7,ER,Ki-67,LVI,and the ADC value of the cystic part of tumor for the diagnosis of BRCA-mutated ovarian cancer had an area under the curve(AUC)of 0.765.Conclusion CK7,ER,Ki-67,LVI and the ADC value of the cystic part of tumor are risk factors for BRCA-mutated ovarian cancer.The combined model based on the above characteristics demonstrates good diagnostic efficacy for BRCA-mutated ovarian cancer.