Objective: To evaluate the incremental vaccine effectiveness (VE) of two dose of the mumps containing vaccine (MuCV) in chidren, so as to provide a basis for optimizing mumps immunization strategies. Methods: A 1∶2 frequency matched case-control study was conducted by using reported mumps cases in childcare centers or schools from Lu an, Hefei, Ma anshan and Huainan cities of Anhui Province from September 1, 2023 to June 30, 2024, as a case group(383 cases). And healthy children in the same classroom were selected as a control group(766 cases). The MuCV immunization histories of participants were collected to estimate the incremental VE of the second dose of MuCV against mumps. Group comparisons were performed using the Chi square test or t-test. For matched case-control pairs, the Cox regression model was employed to calculate the odds ratio (OR) with 95% confidence interval (CI) for two dose MuCV vaccination and to estimate the incremental vaccine effectiveness (VE). Results: There were no statistically significant differences between the case and control groups regarding gender, age, dosage of MuCV vaccination and the time interval since the last dose vaccination( χ 2/t=0.05, 0.20, 0.94, -0.02, P >0.05). The proportions of the case and control groups vaccinated with two doses of MuCV were 26.63% and 29.37%, respectively, and the overall incremental VE of the second dose of MuCV was 40.73% (95% CI=3.03%-63.77%, P <0.05). Subgroup analyses revealed that the incremental VE for children with a period of ≥1 year between the two doses of MuCV was 54.13% (95% CI=1.90%-78.56%, P <0.05), while for children with a period of <1 year, it was 30.63% (95% CI=-28.59%-62.58%, P >0.05). The incremental VE of the second dose of MuCV was 30.36% (95% CI=-25.95%-61.50%, P >0.05) in kindergarten children and 66.73% (95% CI=14.92%-86.99%, P <0.05) in elementary and secondary school students. The incremental VE was 28.78% (95% CI=-27.46%-60.21%, P >0.05) within five years of the last dose of MuCV vaccination and 66.07% (95% CI=-41.56%-91.87%, P >0.05) for vaccinations administered beyond five years. Conclusions The second dose of MuCV may offer additional protection for children; however, extending the interval between two dose of MuCV (<1 year) has shown limited incremental protective effects. Therefore, it is crucial to consider optimizing current immunization strategies for mumps.

The Janus kinase/signal transducers and activators of transcription (JAK-STAT) control natural killer (NK) cells development and cytotoxic functions, however, whether long non-coding RNAs (lncRNAs) are involved in this pathway remains unknown. We found that miR155HG was elevated in activated NK cells and promoted their proliferation and effector functions in both NK92 and induced-pluripotent stem cells (iPSCs)-derived NK (iPSC-NK) cells, without reliance on its derived miR-155 and micropeptide P155. Mechanistically, miR155HG bound to miR-6756 and relieved its repression of JAK3 expression, thereby promoting the JAK-STAT pathway and enhancing NK cell proliferation and function. Further investigations disclosed that upon cytokine stimulation, STAT3 directly interacts with miR155HG promoter and induces miR155HG transcription. Collectively, we identify a miR155HG-mediated positive feedback loop of the JAK-STAT signaling. Our study will also provide a power target regarding miR155HG for improving NK cell generation and effector function in the field of NK cell adoptive transfer therapy against cancer, especially iPSC-derived NK cells.

Abnormal accumulation of collagen fibrils is a hallmark feature of oral submucous fibrosis (OSF). However, the precise characteristics and underlying mechanisms remain unclear, impeding the advancement of potential therapeutic approaches. Here, we observed that collagen I, the main component of the extracellular matrix, first accumulated in the lamina propria and subsequently in the submucosa of OSF specimens as the disease progressed. Using RNA-seq and Immunofluorescence in OSF specimens, we screened the cartilage oligomeric matrix protein (COMP) responsible for the abnormal collagen accumulation. Genetic COMP deficiency reduced arecoline-stimulated collagen I deposition significantly in vivo. In comparison, both COMP and collagen I were upregulated under arecoline stimulation in wild-type mice. Human oral buccal mucosal fibroblasts (hBMFs) also exhibited increased secretion of COMP and collagen I after stimulation in vitro. COMP knockdown in hBMFs downregulates arecoline-stimulated collagen I secretion. We further demonstrated that hBMFs present heterogeneous responses to arecoline stimulation, of which COMP-positive fibroblasts secrete more collagen I. Since COMP is a molecular bridge with Fibril-associated collagens with Interrupted Triple helices (FACIT) in the collagen network, we further screened and identified collagen XIV, a FACIT member, co-localizing with both COMP and collagen I. Collagen XIV expression increased under arecoline stimulation in wild-type mice, whereas it was hardly expressed in the Comp^-/- mice, even with under stimulation. In summary, we found that COMP may mediates abnormal collagen I deposition by functions with collagen XIV during the progression of OSF, suggesting its potential to be targeted in treating OSF.
Oral Submucous Fibrosis/pathology* ; Cartilage Oligomeric Matrix Protein/genetics* ; Animals ; Mice ; Humans ; Fibroblasts/metabolism* ; Collagen Type I/metabolism* ; Arecoline/pharmacology* ; Mouth Mucosa/metabolism* ; Cells, Cultured ; Fluorescent Antibody Technique

Risk assessment models for periodontal disease provide dentists with a precise and consolidated evalua-tion of the prognosis of periodontitis,enabling the formulation of personalized treatment plans.Periodontal risk assess-ment systems have been widely applied in clinical practice and research.The application fields of periodontal risk assessment systems vary based on the distinctions between clinical periodontal parameters and risk factors.The assess-ment models listed below are commonly used in clinical practice,including the periodontal risk calculator(PRC),which is an individual-based periodontal risk assessment tool that collects both periodontal and systemic information for pre-diction;the periodontal assessment tool(PAT),which allows for quantitative differentiation of stages of periodontal dis-ease;the periodontal risk assessment(PRA)and modified periodontal risk assessment(mPRA),which are easy to use;and the classification and regression trees(CART),which assess the periodontal prognosis based on a single affected tooth.Additionally,there are orthodontic-periodontal combined risk assessment systems and implant periapical risk as-sessment systems tailored for patients needing multidisciplinary treatment.This review focuses on the current applica-tion status of periodontal risk assessment systems.

Diagnostic tests are indispensable tools in clinical practice and are rigorously evaluated through scientifically designed accuracy studies before the clinical practice. The accuracy of these tests directly affects the correctness of the diagnosis and the rationality of treatment decisions. This article introduces the types of designs and their characteristics used in diagnostic test accuracy studies, including single-group studies, diagnostic case-control studies, single-group paired studies, and parallel-group studies. It recommends appropriate design types based on the research question stage, the diagnostic test's role in the clinical diagnostic pathway, and the actual clinical application scenario to provide suggestions for further standardizing the design of current clinical diagnostic test accuracy research. This article may help clinical researchers better understand and choose the appropriate type of diagnostic test accuracy study design to improve diagnostic test accuracy research quality.

Risk assessment models for periodontal disease provide dentists with a precise and consolidated evaluation of the prognosis of periodontitis, enabling the formulation of personalized treatment plans. Periodontal risk assessment systems have been widely applied in clinical practice and research. The application fields of periodontal risk assessment systems vary based on the distinctions between clinical periodontal parameters and risk factors. The assessment models listed below are commonly used in clinical practice, including the periodontal risk calculator (PRC), which is an individual-based periodontal risk assessment tool that collects both periodontal and systemic information for prediction; the periodontal assessment tool (PAT), which allows for quantitative differentiation of stages of periodontal disease; the periodontal risk assessment (PRA) and modified periodontal risk assessment (mPRA), which are easy to use; and the classification and regression trees (CART), which assess the periodontal prognosis based on a single affected tooth. Additionally, there are orthodontic-periodontal combined risk assessment systems and implant periapical risk assessment systems tailored for patients needing multidisciplinary treatment. This review focuses on the current application status of periodontal risk assessment systems.

OBJECTIVE To investigate the regulatory effect of autophagy on the resistance of human liver cancer cell Huh7 to lenvatinib. METHODS Using human liver cancer cell Huh7 as subject， the lenvatinib-resist cell model （Huh7-LR） was generated by the low-dose gradient method combined with long-term administration. The sensitivity of parental cell Huh7 and drug-resistant cell Huh7-LR to lenvatinib was detected by using CCK-8 assay and flow cytometry. Western blot assay and GFP-mCherry-LC3 plasmid transfection were performed to detect the expression levels of autophagic protein Beclin-1， autophagic adapter protein sequestosome 1 （p62）， microtubule-associated protein 1 light chain 3 （LC3） and autophagic level. Furthermore， an autophagy activation model was constructed by cell starvation， the protein expression of p62 and autophagy level were detected by using Western blot assay and GFP-mCherry-LC3 plasmid transfection， and the effect of autophagy activation on the sensitivity of Huh7-LR cells to lenvatinib was detected by flow cytometry. RESULTS Compared with parental cells， the drug resistance index of Huh7-LR cells was 6.2； protein expression of p62 was increased significantly， while apoptotic rate， protein expression of Beclin-1 and LC3Ⅱ/ LC3Ⅰ ratio were all reduced significantly （P＜0.05 or P＜0.01）； the level of autophagy was decreased to some extent. Autophagy activation could significantly increase the protein expression of p62 in Huh7-LR cells （P＜0.05） and autophagy level， and significantly increase its apoptotic rate （P＜0.05）. CONCLUSIONS Autophagy is involved in lenvatinib resistance， and activating autophagy can reverse the resistance of liver cancer cells to lenvatinib to some extent.

Risk assessment models for periodontal disease provide dentists with a precise and consolidated evalua-tion of the prognosis of periodontitis,enabling the formulation of personalized treatment plans.Periodontal risk assess-ment systems have been widely applied in clinical practice and research.The application fields of periodontal risk assessment systems vary based on the distinctions between clinical periodontal parameters and risk factors.The assess-ment models listed below are commonly used in clinical practice,including the periodontal risk calculator(PRC),which is an individual-based periodontal risk assessment tool that collects both periodontal and systemic information for pre-diction;the periodontal assessment tool(PAT),which allows for quantitative differentiation of stages of periodontal dis-ease;the periodontal risk assessment(PRA)and modified periodontal risk assessment(mPRA),which are easy to use;and the classification and regression trees(CART),which assess the periodontal prognosis based on a single affected tooth.Additionally,there are orthodontic-periodontal combined risk assessment systems and implant periapical risk as-sessment systems tailored for patients needing multidisciplinary treatment.This review focuses on the current applica-tion status of periodontal risk assessment systems.

Risk assessment models for periodontal disease provide dentists with a precise and consolidated evalua-tion of the prognosis of periodontitis,enabling the formulation of personalized treatment plans.Periodontal risk assess-ment systems have been widely applied in clinical practice and research.The application fields of periodontal risk assessment systems vary based on the distinctions between clinical periodontal parameters and risk factors.The assess-ment models listed below are commonly used in clinical practice,including the periodontal risk calculator(PRC),which is an individual-based periodontal risk assessment tool that collects both periodontal and systemic information for pre-diction;the periodontal assessment tool(PAT),which allows for quantitative differentiation of stages of periodontal dis-ease;the periodontal risk assessment(PRA)and modified periodontal risk assessment(mPRA),which are easy to use;and the classification and regression trees(CART),which assess the periodontal prognosis based on a single affected tooth.Additionally,there are orthodontic-periodontal combined risk assessment systems and implant periapical risk as-sessment systems tailored for patients needing multidisciplinary treatment.This review focuses on the current applica-tion status of periodontal risk assessment systems.

Risk assessment models for periodontal disease provide dentists with a precise and consolidated evalua-tion of the prognosis of periodontitis,enabling the formulation of personalized treatment plans.Periodontal risk assess-ment systems have been widely applied in clinical practice and research.The application fields of periodontal risk assessment systems vary based on the distinctions between clinical periodontal parameters and risk factors.The assess-ment models listed below are commonly used in clinical practice,including the periodontal risk calculator(PRC),which is an individual-based periodontal risk assessment tool that collects both periodontal and systemic information for pre-diction;the periodontal assessment tool(PAT),which allows for quantitative differentiation of stages of periodontal dis-ease;the periodontal risk assessment(PRA)and modified periodontal risk assessment(mPRA),which are easy to use;and the classification and regression trees(CART),which assess the periodontal prognosis based on a single affected tooth.Additionally,there are orthodontic-periodontal combined risk assessment systems and implant periapical risk as-sessment systems tailored for patients needing multidisciplinary treatment.This review focuses on the current applica-tion status of periodontal risk assessment systems.