Cemental tear is a rare and indetectable condition unless obvious clinical signs present with the involvement of surrounding periodontal and periapical tissues. Due to its clinical manifestations similar to common dental issues, such as vertical root fracture, primary endodontic diseases, and periodontal diseases, as well as the low awareness of cemental tear for clinicians, misdiagnosis often occurs. The critical principle for cemental tear treatment is to remove torn fragments, and overlooking fragments leads to futile therapy, which could deteriorate the conditions of the affected teeth. Therefore, accurate diagnosis and subsequent appropriate interventions are vital for managing cemental tear. Novel diagnostic tools, including cone-beam computed tomography (CBCT), microscopes, and enamel matrix derivatives, have improved early detection and management, enhancing tooth retention. The implementation of standardized diagnostic criteria and treatment protocols, combined with improved clinical awareness among dental professionals, serves to mitigate risks of diagnostic errors and suboptimal therapeutic interventions. This expert consensus reviewed the epidemiology, pathogenesis, potential predisposing factors, clinical manifestations, diagnosis, differential diagnosis, treatment, and prognosis of cemental tear, aiming to provide a clinical guideline and facilitate clinicians to have a better understanding of cemental tear.
Humans ; Dental Cementum/injuries* ; Consensus ; Diagnosis, Differential ; Cone-Beam Computed Tomography ; Tooth Fractures/therapy*

BACKGROUND: Diabetic foot is a complex condition with high incidence, recurrence, mortality, and disability rates. Current treatments for diabetic foot ulcers are often insufficient. This study was conducted to identify potential therapeutic targets for diabetic foot. METHODS: Datasets related to diabetic foot and diabetic skin were retrieved from the Gene Expression Omnibus database. Differentially expressed genes (DEGs) were identified using R software. Enrichment analysis was conducted to screen for critical gene functions and pathways. A protein interaction network was constructed to identify node genes corresponding to key proteins. The DEGs and node genes were overlapped to pinpoint target genes. Plasma and chronic ulcer samples from diabetic and non-diabetic individuals were collected. Western blotting, immunohistochemistry, and enzyme-linked immunosorbent assays were performed to verify the S100 calcium binding protein A9 (S100A9), inflammatory cytokine, and related pathway protein levels. Hematoxylin and eosin staining was used to measure epidermal layer thickness. RESULTS: In total, 283 common DEGs and 42 node genes in diabetic foot ulcers were identified. Forty-three genes were differentially expressed in the skin of diabetic and non-diabetic individuals. The overlapping of the most significant DEGs and node genes led to the identification of S100A9 as a target gene. The S100A9 level was significantly higher in diabetic than in non-diabetic plasma (178.40 ± 44.65 ng/mL vs. 40.84 ± 18.86 ng/mL) and in chronic ulcers, and the wound healing time correlated positively with the plasma S100A9 level. The levels of inflammatory cytokines (tumor necrosis factor-α, interleukin [IL]-1, and IL-6) and related pathway proteins (phospho-extracellular signal regulated kinase [ERK], phospho-p38, phospho-p65, and p-protein kinase B [Akt]) were also elevated. The epidermal layer was notably thinner in chronic diabetic ulcers than in non-diabetic skin (24.17 ± 25.60 μm vs. 412.00 ± 181.60 μm). CONCLUSIONS S100A9 was significantly upregulated in diabetic foot and was associated with prolonged wound healing. S100A9 may impair diabetic wound healing by disrupting local inflammatory responses and skin re-epithelialization.
Calgranulin B/therapeutic use* ; Diabetic Foot/metabolism* ; Humans ; Datasets as Topic ; Computational Biology ; Mice, Inbred C57BL ; Animals ; Mice ; Protein Interaction Maps ; Immunohistochemistry

Objective: To investigate the inhibitory effect of Elesclomol (ES) + Cu2 + on the proliferation of human hepatoma cell lines PLC/PRF/5 and Huh-7 and its potential to induce Cuproptosis. Methods: Human hepatoma cell lines PLC/PRF/5 and Huh_7 cells were Cultured in vitro. ES solution , Cu2 + solution and copper chelating agent ammonium tetrathiomolybdate VI (ATTM) solution was treated separately or in combination. The effect of ES + Cu2 + on the survival rate of human hepatoma cell lines PLC/PRF/5 and Huh_7 cells and the effect of ES + Cu2 + on the survival rate after pretreatment with copper chelating agent ATTM were evaluated using CCK_8 kit. The cell death induced by ES + Cu2 + was detected by flow cytometry and the changes of ES + Cu2 + after pretreatment with copper chelating agent ATTM. The expression of Cuproptosis related proteins ATPase copper transporting beta (ATP7B) ,ferredoxin 1 (FDX1) , dihydrolipoamide s_acetyltransferase(DLAT) and superoxide dismutase 1 (SOD1) were detected by Western blot. The effect of ES + Cu2 + on cell proliferation and the reverse effect after ATTM pretreatment was detected by cell scratch assay. Results: The toxicity of ES + Cu2 + to human hepatocellular carcinoma cell lines PLC/PRF/5 and Huh_7 was significantly dose_dependent (P < 0. 05) . Compared with the control group , the combined application of ES and Cu2 + had a more significant inhibitory effect on hepatocellular carcinoma cells than ES or Cu2 + alone (P < 0. 05) , and copper chelating agent ATTM could reverse the inhibitory effect of ES + Cu2 + on hepatocellular carcinoma cells (P < 0. 05) . Flow cytometry results showed that compared with the control group , the proportion of cell death in PLC/PRF/5 and Huh_7 cells treated with ES + Cu2 + increased , while the proportion of cell death decreased after ATTM intervention (P < 0. 05) . The results of cell scratch test showed that the migration ability of PLC/PRF/5 and Huh_7 cells was decreased after ES + Cu2 + treatment , however, the addition of ATTM reversed the inhibitory effect of ES + Cu2 + on cell migration (P < 0. 05) . Compared with the control group , the expression levels of copper death related proteins ATP7B , FDX1 , DLAT and SOD1 decreased after ES + Cu2 + treatment , but the addition of ATTM reversed the expression trend of these proteins (P < 0. 05) . Conclusion The combination of ES and Cu2 + can effectively inhibit the proliferation and migration of PLC/PRF/5 and Huh_7 of hepatocellular carcinoma cells , and induce Cuproptosis , which provides a new strategy for the treatment of hepatocellular carcinoma.

With the rapid development of generative artificial intelligence(GAI)technologies,their widespread application in academic research and writing is continuously expanding the boundaries of sci-entific inquiry.However,this trend has also raised a series of ethical and regulatory challenges,inclu-ding issues related to authorship,content authenticity,citation accuracy,and accountability.In light of the growing involvement of AI in generating academic content,establishing an open,controllable,and trustworthy ethical governance framework has become a key task for safeguarding research integrity and maintaining trust within the academic community.This expert consensus outlines ethical requirements across key stages of AI-assisted academic writing-including topic selection,data management,citation practices,and authorship attribution.It aims to clarify the boundaries and ethical obligations surrounding AI use in academic writing,ensuring that technological tools enhance efficiency without compromising in-tegrity.The goal is to provide guidance and institutional support for building a responsible and sustainable research ecosystem.

With the rapid development of generative artificial intelligence(GAI)technologies,their widespread application in academic research and writing is continuously expanding the boundaries of sci-entific inquiry.However,this trend has also raised a series of ethical and regulatory challenges,inclu-ding issues related to authorship,content authenticity,citation accuracy,and accountability.In light of the growing involvement of AI in generating academic content,establishing an open,controllable,and trustworthy ethical governance framework has become a key task for safeguarding research integrity and maintaining trust within the academic community.This expert consensus outlines ethical requirements across key stages of AI-assisted academic writing-including topic selection,data management,citation practices,and authorship attribution.It aims to clarify the boundaries and ethical obligations surrounding AI use in academic writing,ensuring that technological tools enhance efficiency without compromising in-tegrity.The goal is to provide guidance and institutional support for building a responsible and sustainable research ecosystem.

The success of"New Medical Sciences"in higher education requires effective tools in evalua-ting students'performance in courses.Previously,we reported a teamwork(T),critique(C)and ap-preciation(A)(TCA)ideological and political model,a teaching model widely applied in Basic Medical courses.TCA is an abbreviation derived from Tricarboxylic Acid Cycle in Biochemistry as an analogy for nurturing the abilities of thinking and teamwork(T),critique(C)and appreciation(A),which hope-fully could provide students with moral norms for cognition,science and life.This paper further explores the tools to assess the educational outcomes of the TCA model,by which teachers can collect feedback and reflect on teaching quality and effectiveness.Addressing the challenges of individual differences in large classes,fragmented learning feedback,and the difficulty of measuring meta-cognition in educational evaluation,this study employs strategies of value-added assessment,matrix assessment and norm-transfer-able assessment to evaluate the TCA abilities from the aspects of thinking quality,thinking creativity,co-operation ability,iterative thinking,dialectical thinking and job responsibility.By modifying/using 18 e-valuation tools in Education and Psychology,we have established a rubric system composed of 30 primary indicators(with 11 newly designed,10 partly modified and 9 directly adopted),along with 49 secondary indicators and 98 tertiary indicators to enhance the feasibility of the evaluation process.This rubric sys-tem was applied to Biochemistry teaching among the five-year-program undergraduates at Air Force Medi-cal University.Specifically,thinking and teamwork are evaluated by creative works from"the magic bio-chemical-circle",while critiques are assessed in large classes under the guidance of basic and clinical teachers,coupled with appreciation measured by job responsibility in a task-driven virtual reality(VR)project.The results indicate that Biochemistry teaching not only accumulates knowledge in students,but also achieves the goals in nurturing values and cognition.The inclusion of creative performance evalua-tion,cooperative learning and clinical case studies,can enhance students'interpersonal skills,coopera-tion,quality of thinking,creative thinking,iterative thinking and dialectical thinking to varying degrees.TCA-based Biochemistry teaching has a long-lasting impact on character education,and is capable of in-ducing positive long-term changes in students'cognition and lifestyle.Taken together,with the help of this rubric system,teachers can promptly acknowledge the effectiveness of their teaching,thereby facilita-ting their teaching strategies.

The success of"New Medical Sciences"in higher education requires effective tools in evalua-ting students'performance in courses.Previously,we reported a teamwork(T),critique(C)and ap-preciation(A)(TCA)ideological and political model,a teaching model widely applied in Basic Medical courses.TCA is an abbreviation derived from Tricarboxylic Acid Cycle in Biochemistry as an analogy for nurturing the abilities of thinking and teamwork(T),critique(C)and appreciation(A),which hope-fully could provide students with moral norms for cognition,science and life.This paper further explores the tools to assess the educational outcomes of the TCA model,by which teachers can collect feedback and reflect on teaching quality and effectiveness.Addressing the challenges of individual differences in large classes,fragmented learning feedback,and the difficulty of measuring meta-cognition in educational evaluation,this study employs strategies of value-added assessment,matrix assessment and norm-transfer-able assessment to evaluate the TCA abilities from the aspects of thinking quality,thinking creativity,co-operation ability,iterative thinking,dialectical thinking and job responsibility.By modifying/using 18 e-valuation tools in Education and Psychology,we have established a rubric system composed of 30 primary indicators(with 11 newly designed,10 partly modified and 9 directly adopted),along with 49 secondary indicators and 98 tertiary indicators to enhance the feasibility of the evaluation process.This rubric sys-tem was applied to Biochemistry teaching among the five-year-program undergraduates at Air Force Medi-cal University.Specifically,thinking and teamwork are evaluated by creative works from"the magic bio-chemical-circle",while critiques are assessed in large classes under the guidance of basic and clinical teachers,coupled with appreciation measured by job responsibility in a task-driven virtual reality(VR)project.The results indicate that Biochemistry teaching not only accumulates knowledge in students,but also achieves the goals in nurturing values and cognition.The inclusion of creative performance evalua-tion,cooperative learning and clinical case studies,can enhance students'interpersonal skills,coopera-tion,quality of thinking,creative thinking,iterative thinking and dialectical thinking to varying degrees.TCA-based Biochemistry teaching has a long-lasting impact on character education,and is capable of in-ducing positive long-term changes in students'cognition and lifestyle.Taken together,with the help of this rubric system,teachers can promptly acknowledge the effectiveness of their teaching,thereby facilita-ting their teaching strategies.

Background and aims Cancer cachexia is prevalent in various cancers and is associated with chemotherapy toxicity. However, limited data exist on the relationship between cachexia and immune-related adverse events (irAEs). The aim of this study is to explore the correlation between cancer cachexia and irAEs and its possible mechanism. Methods A murine model of orthotopic hepatocellular carcinoma (HCC) with cachexia was developed to evaluate the impact of T-cell infiltration into multiple tumor-free organs on the occurrence of irAEs. Single-cell RNA sequencing of thymic stromal cells was performed. Additionally, patients with advanced cancers receiving anti-programmed cell death protein 1/ligand 1 (PD-1/L1) antibody treatment were followed to investigate the relationship between cachexia and irAEs. Results Inflammatory cell infiltration was observed in multiple tumor-free organs of cachexic HCC mice but not in non-cachexic controls. Immunofluorescence confirmed that the infiltrating cells included CD4+ and CD8+ T cells. Morphological assessment and hematoxylin–eosin staining revealed thymic atrophy in cachexic HCC mice. Single-cell RNA sequencing of thymic stromal cells showed a reduction in medullary thymic epithelial cells (mTECs) II and III in cachexic mice. Autoimmune regulator (Aire) downregulation was accompanied by decreased expression of tissue-restricted antigens in mTECs. T cells from cachexic HCC mice induced organ-specific inflammation and T-cell infiltration in multiple organs of tumor-free mice. Following anti-mouse PD-1 antibody treatment, the incidence of inflammation in multiple organs markedly increased in cachexic HCC mice and in tumor-free mice that had received T cells from the cachexic HCC mice. Flow cytometry and immunofluorescence analyses revealed enrichment of thymic monocytic myeloid-derived suppressor cells (M-MDSCs) in cachexic HCC mice. M-MDSCs infiltrated the thymus in cachexic mice with cancer, and they induced apoptosis of mTECs from tumor-free mice in vitro via nitric oxide production. Transfer of M-MDSCs led to inflammatory cell infiltration in multiple organs and thymic involution in tumor-free mice without affecting body weight. Sixty-four patients with advanced cancer receiving anti-PD-1/L1 therapy were enrolled. Patients who developed irAEs had higher levels of circulating M-MDSCs than those who did not. Moreover, patients with cachexia (body mass index (BMI) < 20 kg/m2 or ≥5% weight loss over the past 6 months) had elevated M-MDSC levels. Patients with both high M-MDSC levels and low BMI or weight loss ≥5% experienced more irAEs (hazard ratio: 2.333; 95% confidence interval: 1.231–4.423). Conclusions M-MDSCs in cachexic mice induced mTEC apoptosis through nitric oxide production, impairing T-cell negative selection and promoting autoimmune T-cell infiltration into tumor-free organs. Cancer cachexia-related M-MDSCs may serve as predictive biomarkers for irAEs in patients with advanced cancer. Graphical abstract

Objective: To examine the association of greenness exposure with waist circumference (WC) and central obesity in older adults in China. Methods: Based on the cross-sectional data from the Chinese Longitudinal Healthy Longevity Survey in 2017-2018, 14 056 participants aged 65 years and over were included. Demographic characteristics, lifestyle, WC, and other information were collected through a questionnaire and physical examination. Based on the satellite monitoring data of moderate-resolution imaging spectroradiometer (MODIS) provided by NASA, the annual mean of normalized difference vegetation index (NDVI) within a radius of 1 000 meters was obtained as the measurement value of greenness exposure. Multivariate linear regression model, multivariate logistic regression model, and restricted cubic splines (RCS) model were used to analyze the association and dose-response relationship between greenness exposure and WC and central obesity in older adults in China. Results: A total of 14 056 participants were enrolled with a median age of 84.0 years [IQR: 75.0-94.0 years]. About 45.0% (6 330) of them were male and 48.6% (5 853) were illiterate. There were 10 964 (78.0%) participants from rural. The mean of WC was (84.4±10.8) cm. Central obesity accounted for 60.2% (8 465), and the NDVI range was (-0.06, 0.78). After adjusting for confounding factors, the multivariate linear regression model showed that the change value of WC in the urban group [β (95%CI):-0.49 (-0.93, -0.06)] was smaller than that in the rural [-0.78 (-0.98, -0.58)] for every 0.1 unit increase in NDVI (P_interaction=0.022). Compared with the Q₁ group in NDVI, WC of Q₂ and Q₃ groups in rural decreased, and the β (95%CI) values were-1.74 (-2.5, -0.98) and-2.78 (-3.55, -2.00), respectively. The multivariate logistic regression model showed that after adjusting for confounding factors, the risk of central obesity decreased for urban and rural older adults with an increase of 0.1 unit in NDVI, and the OR (95%CI) values were 0.87 (0.80, 0.95) and 0.86 (0.82, 0.89), respectively (P_interaction=0.284). Compared with the Q₁ group in NDVI, the risk of central obesity in the Q₂ and Q₃ groups in rural was lower, and the OR (95%CI) values were 0.68 (0.58, 0.80) and 0.57 (0.49, 0.68), respectively. The results of the multivariate regression model with RCS showed that there was a non-linear association of NDVI with WC (P_nonlinear=0.006) and central obesity (P_nonlinear=0.025). Conclusion: Greenness exposure is negatively associated with WC and central obesity in older adults in China.

OBJECTIVE: To develop and validate a user-friendly risk score for older mitral regurgitation (MR) patients, referred to as the Elder-MR score. METHODS: The China Senile Valvular Heart Disease (China-DVD) Cohort Study functioned as the development cohort, while the China Valvular Heart Disease (China-VHD) Study was employed for external validation. We included patients aged 60 years and above receiving medical treatment for moderate or severe MR (2274 patients in the development cohort and 1929 patients in the validation cohort). Candidate predictors were chosen using Cox's proportional hazards model and stepwise selection with Akaike's information criterion. RESULTS: Eight predictors were identified: age ≥ 75 years, body mass index < 20 kg/m², NYHA class III/IV, secondary MR, anemia, estimated glomerular filtration rate < 60 mL/min per 1.73 m², albumin < 35 g/L, and left ventricular ejection fraction < 60%. The model displayed satisfactory performance in predicting one-year mortality in both the development cohort (C-statistic = 0.73, 95% CI: 0.69-0.77, Brier score = 0.06) and the validation cohort (C-statistic = 0.73, 95% CI: 0.68-0.78, Brier score = 0.06). The Elder-MR score ranges from 0 to 15 points. At a one-year follow-up, each point increase in the Elder-MR score represents a 1.27-fold risk of death (HR = 1.27, 95% CI: 1.21-1.34, P < 0.001) in the development cohort and a 1.24-fold risk of death (HR = 1.24, 95% CI: 1.17-1.30, P < 0.001) in the validation cohort. Compared to EuroSCORE II, the Elder-MR score demonstrated superior predictive accuracy for one-year mortality in the validation cohort (C-statistic = 0.71 vs. 0.70, net reclassification improvement = 0.320, P < 0.01; integrated discrimination improvement = 0.029, P < 0.01). CONCLUSIONS The Elder-MR score may serve as an effective risk stratification tool to assist clinical decision-making in older MR patients.