ObjectiveThis paper aims to find the identified and validated clinical biomarker data building upon a clinical study of early-phase phase Ⅱ and investigate the correlation analysis of Huanglian Jiedu Wan on syndrome improvement and clinical biomarkers in the treatment of "excess heat-toxicity" based on a machine learning model. Additionally， the effective prediction of clinical biomarker values for the main symptoms of the "excess heat-toxicity" syndrome was assessed. MethodsA total of 229 patients meeting the inclusion criteria for "excess heat-toxicity" syndrome were randomly divided into the Huanglian Jiedu Wan group and the placebo group. Syndrome score transition matrices were constructed for the Huanglian Jiedu Wan group and the placebo group based on three main symptoms of "excess heat-toxicity" syndrome， such as oral ulcers， sore throat， and gum swelling and pain. Data from the patients with these three syndromes were also integrated for an overall analysis. The corresponding syndrome score transition matrices were further constructed to visualize symptom change trends of the patients in the two groups via heatmaps. Based on the identified and validated clinical biomarkers related to inflammation， oxidative stress， and energy metabolism in the early phase， Spearman correlation analysis was employed to analyze and evaluate the associations between clinical biomarkers and syndrome improvement. Key clinical biomarkers reflecting the effect of Huanglian Jiedu Wan were screened through the comparison of differences between groups. An extreme gradient boosting （XGBoost） algorithm was used to develop a prediction model for main symptom classification， with classification performance evaluated through 10-fold cross-validation. Feature importance analysis was applied to identify variables with the greatest contribution to the prediction result. ResultsThe syndrome transition matrix results indicated that the Huanglian Jiedu Wan group showed a superior effect to the placebo group in improving oral ulcers， sore throat， and overall symptoms， with significant effects observed especially in sore throat and overall symptom analyses （P<0.01）. Spearman correlation analysis revealed that several clinical biomarkers positively correlated with "excess heat-toxicity" syndrome and its main symptom improvement， were also called "heat-related biomarkers"， including succinic acid， α-ketoglutaric acid， glycine， lactic acid， adenosine monophosphate （AMP）， tumor necrosis factor-α （TNF-α）， interferon-γ （IFN-γ）， interleukin-1β （IL-1β）， interleukin-4 （IL-4）， interleukin-6 （IL-6）， interleukin-8 （IL-8）， interleukin-10 （IL-10）， and so on. Conversely， clinical biomarkers negatively correlated with symptom severity， were also called "heat-clearing related biomarkers" after administration of Huanglian Jiedu Wan， including malic acid， fumaric acid， cis-aconitic acid， adrenocorticotropic hormone （ACTH）， IL-1β， IL-4， IL-8， succinic acid， and citric acid. The XGBoost classification model using all 52 biomarkers as variables achieved an average test accuracy of 0.754 and an average F1 score of 0.777. Feature importance analysis identified the scores of glutamic acid in saliva and IL-6 were the highest in all the variables， with importance scores of 0.081 and 0.080， respectively. After screening out 14 key variables and optimizing the parameters， model performance improved to an average accuracy of 0.758 and an F1 score of 0.798. Feature importance analysis further determined that the glutamic acid in saliva and IL-6 showed obvious changes after screening the variables， confirming the good syndrome prediction ability of the model constructed by these key clinical biomarkers. ConclusionThis study systematically elucidates the correlation between syndrome improvement and clinical biomarkers of Huanglian Jiedu Wan in the treatment of "excess heat-toxicity" syndrome. An XGBoost classification model based on key clinical biomarkers is successfully established， achieving effective prediction of the symptoms related to the "excess heat-toxicity" syndrome such as oral ulcers and sore throat and providing a new insight for objective identification of traditional Chinese medicine syndromes.

ObjectiveThis paper aims to find the identified and validated clinical biomarker data building upon a clinical study of early-phase phase Ⅱ and investigate the correlation analysis of Huanglian Jiedu Wan on syndrome improvement and clinical biomarkers in the treatment of "excess heat-toxicity" based on a machine learning model. Additionally， the effective prediction of clinical biomarker values for the main symptoms of the "excess heat-toxicity" syndrome was assessed. MethodsA total of 229 patients meeting the inclusion criteria for "excess heat-toxicity" syndrome were randomly divided into the Huanglian Jiedu Wan group and the placebo group. Syndrome score transition matrices were constructed for the Huanglian Jiedu Wan group and the placebo group based on three main symptoms of "excess heat-toxicity" syndrome， such as oral ulcers， sore throat， and gum swelling and pain. Data from the patients with these three syndromes were also integrated for an overall analysis. The corresponding syndrome score transition matrices were further constructed to visualize symptom change trends of the patients in the two groups via heatmaps. Based on the identified and validated clinical biomarkers related to inflammation， oxidative stress， and energy metabolism in the early phase， Spearman correlation analysis was employed to analyze and evaluate the associations between clinical biomarkers and syndrome improvement. Key clinical biomarkers reflecting the effect of Huanglian Jiedu Wan were screened through the comparison of differences between groups. An extreme gradient boosting （XGBoost） algorithm was used to develop a prediction model for main symptom classification， with classification performance evaluated through 10-fold cross-validation. Feature importance analysis was applied to identify variables with the greatest contribution to the prediction result. ResultsThe syndrome transition matrix results indicated that the Huanglian Jiedu Wan group showed a superior effect to the placebo group in improving oral ulcers， sore throat， and overall symptoms， with significant effects observed especially in sore throat and overall symptom analyses （P<0.01）. Spearman correlation analysis revealed that several clinical biomarkers positively correlated with "excess heat-toxicity" syndrome and its main symptom improvement， were also called "heat-related biomarkers"， including succinic acid， α-ketoglutaric acid， glycine， lactic acid， adenosine monophosphate （AMP）， tumor necrosis factor-α （TNF-α）， interferon-γ （IFN-γ）， interleukin-1β （IL-1β）， interleukin-4 （IL-4）， interleukin-6 （IL-6）， interleukin-8 （IL-8）， interleukin-10 （IL-10）， and so on. Conversely， clinical biomarkers negatively correlated with symptom severity， were also called "heat-clearing related biomarkers" after administration of Huanglian Jiedu Wan， including malic acid， fumaric acid， cis-aconitic acid， adrenocorticotropic hormone （ACTH）， IL-1β， IL-4， IL-8， succinic acid， and citric acid. The XGBoost classification model using all 52 biomarkers as variables achieved an average test accuracy of 0.754 and an average F1 score of 0.777. Feature importance analysis identified the scores of glutamic acid in saliva and IL-6 were the highest in all the variables， with importance scores of 0.081 and 0.080， respectively. After screening out 14 key variables and optimizing the parameters， model performance improved to an average accuracy of 0.758 and an F1 score of 0.798. Feature importance analysis further determined that the glutamic acid in saliva and IL-6 showed obvious changes after screening the variables， confirming the good syndrome prediction ability of the model constructed by these key clinical biomarkers. ConclusionThis study systematically elucidates the correlation between syndrome improvement and clinical biomarkers of Huanglian Jiedu Wan in the treatment of "excess heat-toxicity" syndrome. An XGBoost classification model based on key clinical biomarkers is successfully established， achieving effective prediction of the symptoms related to the "excess heat-toxicity" syndrome such as oral ulcers and sore throat and providing a new insight for objective identification of traditional Chinese medicine syndromes.

Health economics evidence plays an important role in linking clinical value evidence with health resource allocation decisions in the development of clinical practice guidelines. It can not only effectively balance clinical effectiveness and economic feasibility but also avoid forming "idealized" recommendations that are detached from the affordability of the healthcare system or the burden-bearing capacity of patients. To promote guideline developers to use health economics evidence more standardizedly and fully, this paper conducts an in-depth analysis of the current application status, existing challenges, access channels, and application processes of health economics evidence in current guidelines, and on this basis, puts forward considerations and suggestions for strengthening and standardizing the application of health economics evidence in China's clinical practice guidelines.

Objective: To investigate the mental health status and related factors among primary and secondary school students in western Yunnan Province, so ao to provide scientific evidences for advancing mental health education. Methods: In June 2024, a stratified cluster sampling method was employed to select 4 584 students from 18 schools across Diqing Tibetan Autonomous Prefecture, Lincang City and Baoshan City three regions in western Yunnan Province. The Mental Health Test (MHT) was used for assessment. Latent class analysis (LCA) and Logistic regression were applied for data classification and related factor analysis respectively. Results: The overall positive detection rate of MHT was 11.81%, with a mean total score of 40.50±19.25. The predominant issues were learning anxiety (58.4%), hypersensitivity tendency (31.1%), and self blame tendency (23.1%). LCA categorized students into four groups:severe psychological problems group (74.4% detection rate), learning anxiety hypersensitivity group ( 16.4 %), learning anxiety physical symptoms group (9.2%), and healthy group (0). Logistic regression revealed that compared with the healthy group, the severe problems group showed higher risks among females ( OR =3.01), junior/senior high school students ( OR =1.88/4.02), and those with authoritarian parenting ( OR =3.54); the anxiety hypersensitivity group had higher risks for females ( OR =1.87), senior high students ( OR =1.54), boarders ( OR =1.31), and authoritarian parenting recipients ( OR = 1.85 ); the anxiety physical symptoms group demonstrated increased risks among females ( OR =2.22), senior high students ( OR =2.58), and authoritarian parenting recipients ( OR =2.74), while lower risks were observed for students with parent/grandparent guardians ( OR =0.38) and non only children ( OR =0.58) (all P <0.05). Conclusions Mental health problems are prominent among students in western Yunnan, with gender, grade level, boarding status, guardian type, and parenting style being key determinants. Recommendations include strengthening mental health education, prioritizing left behind children s psychological well being and promoting healthy development.

Objective:To assess the quality of life in college students and to explore its related factors.Met-hods:A sample of 1 423 college students were recruited and assessed with the short form Quality of Life Scale-12(SF-12),Patient Health Questionnaire-9(PHQ-9),Generalized Anxiety Disorder-7(GAD-7),Insomnia Severity Index(ISI),Somatic Symptom Scale-8(SSS-8),Sick,Control,One,Fat and Food(SCOFF),Perceived Stress Scale(PSS-10),and Brief Version of the Difficulties in Emotion Regulation Scale(DERS-16)to evaluate quality of life,depressive,anxiety,insomnia severity,somatic symptoms,eating disorders,stress perception,and emotion regulation abilities,respectively.A self-made self-injury risk screening questionnaire was used to screen self-harm thoughts and behaviors.Results:In the sample,the rates of college students with SF-12 mental and physical quality of life scores below 50 were 81.7％and 47.8％,respectively.Multiple linear regression analysis showed that there was a positive association between family per capita monthly income and SF-12 mental quality of life scores(β=0.04,P＜0.05),while PSS-10(β=-0.27,P＜0.001),PHQ-9(β=-0.25,P＜0.001),DERS-16(β=-0.23,P＜0.001),and GAD-7(β=-0.11,P＜0.001)scores were negatively associated with SF-12 mental quality of life scores.The SSS-8 scores were negatively associated with SF-12 physical quality of life scores(β=-0.45,P＜0.001).Conclusion:The study shows that a higher percentage of college students have a lower quality of life;the higher the levels of perceived stress,depression,emotional regulation difficulties,and anxiety,the lower the mental quality of life,and the more severe the physical discomfort symptoms,the lower the physical quality of life.

To formulate an expert consensus on the principles of preoperative hair removal and provide scientific guidance for standardized removal of hair before surgical procedures so as to reduce the incidence of surgical site infections.METHODS Led by the Hospital Management Institute of National Health Commission of the People's Republic of China,this consensus was reached with the joint efforts from the expects of relevant fields such as surgeries,interventional therapies,nursing,and infection prevention and control.The consensus facilitates the classification and evaluation of literatures by following the evidence grade formulated by Oxford Evidence-based Medicine Center and focuses on the association of preoperative hair removal with surgical site infection,it reaches the evidence grade of expert consensus and recommendation intensity by integrating with discussions on meetings and clinical experience of the expects from relevant fields.RESULTS A total of 6 items of consensus were reached by summarizing the latest evidence on the aspects including the indications for preoperative hair removal,tools,range,timing and places.CONCLUSION The consensus,to some extent,make supplements to and complete the exiting regulations and standards.It provides guidance for the medical institutions to carry out the preoperative hair removal.

Objective To investigate the cellular characteristics in the development of retinal tumors induced by MY-CN overexpression,and to find the key proteins that play an important role in this process.Methods T-MYCN Y1 and Y2 cells cultured in vitro for 1 year and 2 years were selected for the experiment.The WERI-RB-1 cell line obtained from Shanghai Cell Bank of Chinese Academy of Sciences was taken as the mature retinoblastoma(RB)control(WERI-Rb-1 group).Untreated normal human retinal tissues were used as the control group.Cells were inoculated into a 24-well plate at a density of 1 × 104 cells per well,and the cell morphology was observed under a microscope and images were collected.Cell count was performed on the 4th,8th and 12th day after inoculation.Immunofluorescence staining was employed to de-tect the expression of the proliferation marker Ki67 and cone cell marker L/M opsin in each group.Quantitative real time polymerase chain reaction(qRT-PCR)was utilized to assess the expression of MYCN,CCNB1,CDK1,SYK,and RXRγ in cells across all groups.Proteomics analysis was performed to detect variations in protein expression profiles across groups and to identify key regulatory genes.Subsequently,cell growth and proliferation were evaluated after OTX2 knockdown by lentiviruses.Results The growth curve showed that there were(59.17±4.01)× 104 cells in the T-MYCN Y1 group,(85.14±4.54)× 104 cells in the T-MYCN Y2 group and(100.73±1.99)× 104 cells in the WERI-Rb-1 group on the 12th day of in-vitro culture(all P＜0.05).Compared with those in the control group,the positive cell rates of Ki67 and L/M opsin increased in T-MYCN Y1,T-MYCN Y2 and WERI-Rb-1 groups(all P＜0.001).The relative expression levels of MYCN mR-NAs in T-MYCN Y1,T-MYCN Y2 and WERI-Rb-1 groups were significantly higher than those in the control group(all P＜0.001).The relative expression levels of CCNB1 and CDK1 mRNAs also increased significantly in the three groups,com-pared with those in the control group(all P＜0.01).There was no significant difference in the relative expression of SYK mRNAs between T-MYCN Y1 and control groups(P＞0.05).The relative expression level of RXRγ mRNAs was significantly higher in the T-MYCN Y1 group than that in the control group(P＜0.05).The relative expression levels of SYK and RXRγmRNAs in T-MYCN Y2 and WERI-Rb-1 groups were significantly increased,compared with those in the control group(all P＜0.05).GO enrichment analysis showed that these differentially-expressed proteins were enriched into protein complex assembly and mitochondria pathways.KEGG enrichment analysis revealed that the enriched pathways of these differential-ly-expressed proteins included carbon metabolism,metabolic pathway and fatty acid degradation.Both proteomics and Western blot analyses indicated that OTX2 expression levels were the highest in the WERI-Rb-1 group,second highest in the T-MYCN Y2 group,and the lowest in the T-MYCN Y1 group(all P＜0.01).According to qRT-PCR,the expression levels of OTX2 mRNAs in T-MYCN Y1,T-MYCN Y2 and WRI-Rb-1 cells with OTX2 knockdown were lower than those in empty vec-tor controls(all P＜0.05).The growth curve of cells showed that after knocking down OTX2 in the three groups of cells,both cell growth and proliferation ability decreased significantly(all P＜0.001).Conclusion During the development of retinal tumors induced by MYCN overexpression,cells gradually exhibit characteristics similar to WERI-Rb-1 cells,which are a typical RB cell line.OTX2 plays an important role in MYCN amplification or the growth and proliferation of highly ex-pressed RB.Targeting OTX2 may become a new research direction for the treatment of RB.

To formulate an expert consensus on the principles of preoperative hair removal and provide scientific guidance for standardized removal of hair before surgical procedures so as to reduce the incidence of surgical site infections.METHODS Led by the Hospital Management Institute of National Health Commission of the People's Republic of China,this consensus was reached with the joint efforts from the expects of relevant fields such as surgeries,interventional therapies,nursing,and infection prevention and control.The consensus facilitates the classification and evaluation of literatures by following the evidence grade formulated by Oxford Evidence-based Medicine Center and focuses on the association of preoperative hair removal with surgical site infection,it reaches the evidence grade of expert consensus and recommendation intensity by integrating with discussions on meetings and clinical experience of the expects from relevant fields.RESULTS A total of 6 items of consensus were reached by summarizing the latest evidence on the aspects including the indications for preoperative hair removal,tools,range,timing and places.CONCLUSION The consensus,to some extent,make supplements to and complete the exiting regulations and standards.It provides guidance for the medical institutions to carry out the preoperative hair removal.

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*