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.

Objective: To investigate the characteristics and potential risk factors associated with HIV infection among newly reported HIV positive male student cases in Jiangsu Province from 2023 to 2024, so as to provide evidence for targeted intervention strategies. Methods: Data were obtained from the China CDC Surveillance System on newly reported HIV positive male student cases from 2023 to 2024. A survey was conducted to collect information on demographic characteristics, knowledge of AIDS prevention, education and training history, HIV testing history, behavioral and substance use patterns, and other relevant factors prior to HIV diagnosis among 343 newly reported HIV positive male student cases in Jiangsu Province. Multivariate Logistic regression analysis was used to assess the risk factors of HIV infection among male students. Results: Among the HIV positive male student cases, homosexual behavior accounted for 93.88% of transmission routes, while 10.20% involved heterosexual contact, as well as 4.08% for two sexual hehaviors. Awareness of HIV prevention knowledge was 97.08%, and 66.76% had previously undergone HIV testing. Among the respondents, 10.50% had used rush poppers as enhancers, and 72.30% had received HIV prevention education within the past year. Among students cases with homosexual behavior, the median time from first homosexual contact to HIV diagnosis was ≤2 years, with 54.66% of cases falling into this category; the most common way of finding same sex partners was through social software, accounting for 88.20% of cases, while the proportion of those via "Blued" app reached 87.07% ; the proportion of using condoms every time during sexual activity in the past six months was 12.27%. Among the student cases with homosexual behavior, the results of multiple Logistic regression analysis showed that student cases aged 18 to 24 ( OR =4.52) and >24 ( OR = 19.23 ), without receiving education on HIV prevention in the past year ( OR =1.86), having consistent condom use ( OR =2.73) and not using condoms ( OR =2.12) during the last sexual activity were more likely to had the first same sex sexual activity for more than 3 years before being diagnosed as HIV positive cases (all P <0.05). Student cases who were uncertain about their partner s sexual identity ( OR =0.33), and who primarily identified same sex partners through "other" means ( OR = 0.23 ) were more likely to avoid HIV testing; in contrast, student cases with consistent condom use during the last homosexual encounter ( OR =7.20) was significantly associated with increased likelihood of HIV testing (all P <0.05). Conclusions Newly reported HIV positive male student cases in Jiangsu Province exhibit serious discrepancies between knowledge and practice regarding HIV prevention. Measures are needed to accelerate the optimization of campus based HIV prevention education content and delivery methods. Simultaneously, enhanced management of extracurricular male populations is essential to effectively control the spread of HIV.

Objective To evaluate the short-term effects of comprehensive health management interventions for stroke high-risk population screening on the prevention and treatment of ischemic stroke, and to provide reference and basis for improving and exploring health management and prevention strategies for stroke high-risk population. Methods From 2018 to 2022, 13 community health service centers in Jiading District, Shanghai were selected in the present study. Based on information push platform, stroke risk assessment and health intervention follow-up were conducted for community residents through convenience sampling. The residents were divided into a full course intervention group (intervention group) and a routine intervention group (control group) according to different health intervention measures and forms. The incidence of ischemic stroke in the two groups of survey subjects was tracked within 36 months. Results A total of 52144 subjects were included in the study. The total number of patients in the full course intervention group was 14227, with an incidence density of 577.32/100 000 (556.49/100 000-598.12/100 000), which was lower than that of the conventional intervention group (37 917), with an incidence density of 1 485.47/100 000 (1 464.99/100 000-1 505.94/100 000) (χ²=2490.212, P<0.001). The relative risk of the full course intervention group was 0.39, and the relative risk of stroke risk factors in the full course intervention group from low to high was 0.33, 0.43, 0.45, and 0.49, respectively. The incidence density of males in the full course intervention group was 660.76 (627.46/100 000 - 694.05/100 000), with a relative risk of 0.43, and the incidence density of female patients was 509.71/100 000 (483.37/100 000 - 536.05/100 000), with a relative risk of 0.35. The overall incidence density of the population under 62 years old gourp, 62-75 years old group and over 75 years old group was 197.45/100 000 (173.09/100 000 -221.80/100 000), 608.36/100 000 (580.19/100 000-636.54/100 000), and 1 025.06/100 000 (958.51/100 000-1 091.61/100 000), with relative risks of 0.51, 0.44, and 0.38, respectively. Conclusion Comprehensive health management measures can effectively reduce the short-term risk of ischemic stroke, and should be further promoted and improved to enhance the effectiveness of stroke prevention and control.

BACKGROUND: Lung cancer is one of the leading causes of cancer-related mortality worldwide, with above 80% of cases be non-small cell lung cancer (NSCLC), among which lung squamous cell carcinoma (LUSC) occupies a significant proportion. Although comprehensive cancer therapies have considerably improved the overall survival of patients, patients with advanced LUSC have a poorer prognosis. Therefore, there is a need for a biomarker to predict the progress of advanced LUSC in order to improve prognosis through early diagnosis. Previous studies have shown that miRNAs are differentially expressed in lung cancer tissues and play roles as potential oncogenes or tumor suppressors. The aim of this study is to identify differentially expressed miRNAs between early-stage and advanced-stage LUSC, and to establish a set of miRNAs that can predict the progress of advanced LUSC. METHODS: Clinical data and miRNA-related data of LUSC patients were downloaded from The Cancer Genome Atlas (TCGA) database. Bioinformatic methods were applied to analyze the data. Receiver operating characteristic (ROC) curves were plotted, and various online tools were used to predict target genes, with subsequent analysis of the potential biological mechanisms of these genes. RESULTS: A total of 58 differentially expressed miRNAs were identified between the experiment group and the control group. Seven miRNAs were selected for potential construction of a miRNA biomarker through LASSO regression, and based on the area under the curve (AUC) values of each miRNA, four of these miRNAs (miR-377-3p, miR-4779, miR-6803-5p, miR-3960) were ultimately chosen as biomarkers for predicting advanced LUSC. The AUC under the ROC curve for the combined four miRNAs was 0.865. Enrichment analysis showed that these target genes were involved in several pathways, including cancer-related pathways, mitogen-activated protein kinase (MAPK) signaling pathway, serine/threonine kinase, and tyrosine kinase signaling pathways. CONCLUSIONS The combined use of miR-377-3p, miR-4779, miR-6803-5p and miR-3960 provides a good predictive ability for the progress of advanced LUSC patients, with an AUC of 0.865.
Humans ; MicroRNAs/metabolism* ; Lung Neoplasms/metabolism* ; Biomarkers, Tumor/metabolism* ; Carcinoma, Squamous Cell/pathology* ; Gene Expression Regulation, Neoplastic ; Male ; Female ; Prognosis ; ROC Curve ; Middle Aged

Modern oncology is rapidly evolving, driven by recent advances in RNA-based therapeutics. As new emerging cutting-edge technology, mRNA vaccines hold excellent promise for encoding immunostimulatory molecules, tumor-associated antigens, neoantigens, and chimeric antigen receptors for T-cell reprogramming. RNA interference tools enable highly effective post-transcriptional gene silencing that has rapidly progressed towards more tailored antitumor treatments targeting key molecular players in tumor progression and drug resistance. The inherent challenges and limitations of RNA-based tools, such as size, low stability and surface charges hindering direct cell entry, along with the short circulatory half-life and rapid clearance, call for new and improved RNA delivery systems enabling enhanced gene delivery. Nanoplatforms, particularly certain types of lipid, polymeric nanoparticles and inorganic nanoparticles, provide designed means to address the challenges of RNA delivery and cellular uptake. This paper explores the challenges and barriers while giving insight into the future perspective of RNA-based cancer therapeutics in the context of delivery nanoplatforms and the challenges during development.

Objective:To investigate the effect of CT-derived fractional flow reserve (CT-FFR) measurement sites on the values and the diagnostic performance, and to determine the optimal measurement site for CT-FFR using invasive FFR as the reference standard.Methods:This study was part of the CT-FFR CHINA clinical trial. Patients with suspected coronary artery disease who were scheduled for invasive coronary angiography (ICA) were prospectively recruited from five clinical centers across the country from November 2018 to March 2020. Each enrolled patient underwent coronary CT angiography (CCTA), CT-FFR, ICA, and invasive pressure wire-based FFR assessments sequentially within one week. Four groups of CT-FFR values were obtained on each enrolled target vessels according to different CT-FFR measurement locations: 1, 2, 3 cm distal to the target lesion, and terminal vessel groups. Spearman and Bland-Altman analyses were used to explore the correlation and consistency of CT-FFR values and FFR values at different measurement sites. The measurement deviation of CT-FFR was also compared. Diagnostic accuracy and performance of CT-FFR, including sensitivity, specificity, positive predictive value, negative predictive value, and area under the receiver operating characteristic curve (AUC), in discriminating myocardial ischemia were analyzed across all measurement site groups on a per-vessel level, using FFR as the reference standard.Results:A total of 289 patients with 345 target lesion vessels were included. According to CCTA, there were 51 target vessels (14.8%) with<50% stenosis, 106 vessels (30.7%) with 50%-69% stenosis, and 188 vessels (54.5%) with stenosis≥70%. At per-vessel level, CT-FFR and FFR values at each measurement position group were highly positively correlated: 1 cm distal to target lesion group, r=0.734 ( P<0.001); 2 cm distal to target lesion group, r=0.732 ( P<0.001); 3 cm distal to target lesion group, r=0.737 ( P<0.001); terminal vessel group was 0.719 ( P<0.001). At per-vessel level, CT-FFR and FFR values of all measurement sites were in good agreement (Bland-Altman analysis results): 1 cm distal to target lesion group, 0.014 (95% LoA 0.002-0.026); 2 cm distal to target lesion group, 0.026 (95% LoA 0.015-0.038); 3 cm distal to target lesion group, 0.040 (95% LoA 0.039-0.051); terminal vessel group, 0.075 (95% LoA 0.064-0.087). And at per-vessel level, the accuracy of diagnosing myocardial ischemia with CT-FFR at 1 cm was highest [84.6% (95% CI 80.4%-88.3%)], and the lowest accuracy in the terminal vessel group [67.0% (95% CI 61.7%-72.0%)]. However, there was no significant difference in the diagnostic accuracy of CT-FFR at 1 cm, 2 cm [80.6% (95% CI 76.1%-84.6%)] and 3 cm [77.5% (95% CI 72.6%-81.7%)]. AUC of CT-FFR at 1 cm distal to the lesion were both highest for global level and moderately stenosis (50%-69%) lesions [0.85 (95% CI 0.81-0.89), 0.84 (95% CI 0.77-0.90)]. And the differences were statistically significant among the four measurement location groups (all P<0.05). Conclusions:The deviation of CT-FFR increases with measurement site distance distal to target lesions. One centimeter distal to the target lesion is the optimal measurement site, and the CT-FFR value here shows the highest diagnostic performance for myocardial ischemic lesions, especially for moderate stenosis.

Objective To investigate the value of low tube voltage and low dose contrast agents combined with artificial intelligence iterative reconstruction(AIIR)in upper limb CT angiography(CTA)for displaying arteriovenous fistula(AVF).Methods Totally 65 patients with chronic renal failure and suspected AVF stenosis who underwent upper limb CTA were prospectively enrolled and randomly divided into conventional-dose group(CD group,n=30)and low-dose group(LD group,n=35).In CD group,CTA was acquired using conventional tube voltage(100 kVp)and contrast agents dosage(1.0 ml/kg body mass),and conventional hybrid iterative reconstruction(HIR)was used to reconstruct images(group A),while in LD group,CTA was collected using 80 kVp and contrast agent dosage of 0.6 ml/kg body mass,and images were reconstructed with HIR(group B)and AIIR(group C),respectively.Then subjective and objective assessment of imaging quality were performed,respectively,the results were compared among groups,while the radiation dose and dosage of contrast agents were compared between CD and LD groups.Results No significant difference of subjective score of imaging quality nor confidence for diagnosing AVF stenosis was found between group A and group C(both P＞0.017),and all the above scores were higher than those in group B(all P＜0.017).Signal-to-noise ratio(SNR)and contrast-to-noise ratio(CNR)of subclavian artery,brachial artery and radial artery in group C were all higher than those in groups A and B(all P＜0.017),while no significant difference of SNR nor CNR was found between group A and B(all P＞0.017).The volume CT dose index,dose length product and dosage of contrast agent in LD group were all lower than those in CD group(all P＜0.001).Conclusion Low tube voltage and low dose contrast agents combined with AIIR in upper limb CTA for displaying AVF could reduce radiation dose and contrast agents dosage under the condition of ensuring imaging quality.

Objective:To explore the relationship between early fecal calprotectin (FC) level and the long-term efficacy of infliximab (IFX) in the treatment of Crohn′s disease (CD) and predictive the value.Methods:From January 2018 to December 2023, at the First Affiliated Hospital with Nanjing Medical University, the clinical data of patients with moderate-to-severe CD who received IFX as first-line therapy were retrospectively collected. The main outcomes were clinical and endoscopic remission at week 52 after IFX treatment, and the secondary outcome was clinical response at week 14 after IFX treatment. The predictive value of FC levels at week 0 (at baseline when first administered) and week 14 of treatment was evaluated for the clinical and endoscopic remission at week 52 after IFX treatment. Multivariate logistic regression was performed to investigate the factors predicting endoscopic remission. The optimal cutoff value was calculated, model was established, the data was divided into training set and validation set at a ratio of 7∶3 using the random number table method and the corresponding column chart was drawn. Receiver operating characteristic curve (ROC) and calibration curve were used to evaluate the discrimination and calibration of the model, respectively. Mann-Whitney U test was used for statistical comparison. Results:A total of 165 patients with CD were enrolled, of whom 150 cases (90.9%) achieved clinical response after induction therapy, and 15 cases (9.1%) were primary non-response. Among the 150 patients with clinical response, 112 cases (74.7%) achieved clinical remission at week 52 after treatment, while 38 cases (25.3%) did not achieve clinical remission. Endoscopic evaluation was performed at week 52 after treatment in 139 patients, of whom 54 cases (38.8%) achieved endoscopic remission and 85 cases (61.2%) did not. At week 14 of treatment, there was no statistically significant difference in FC level between the patients achieved and did not achieve clinical response (263.24 (93.96, 675.28) μg/g vs. 556.35 (245.77, 953.56) μg/g, P>0.05). At week 52 after treatment, the FC level of patients who achieved clinical remission was lower than that of patients did not achieve(103.20(44.11, 456.57) μg/g vs. 531.26(222.06, 998.40) μg/g) and the decreased value of FC at week 52 and week 0 after treatment of patients achieved clinical remission was more than that of patients did not achieve clinical remission (443.34 (82.25, 788.95) μg/g vs. 269.91 (-79.20, 522.54) μg/g), and the differences were statistically significant ( U=1 078.00, 2 677.00; P<0.001, =0.018). At week 52 after treatment, the FC level of patients achieved endoscopic remission was lower than that of patients did not achieve endoscopic remission (52.80(31.93, 83.47) μg/g vs. 506.18(217.44, 778.02) μg/g), and the decreased value of FC at week 52 and week 0 after treatment of patients achieved endoscopic remission was more than that of patients did not achieve endoscopic remission (428.85(140.20, 863.60) μg/g vs. 309.61(-62.37, 683.82) μg/g), and the differences were statistically significant ( U=500.00, 2 812.00; P<0.001, =0.025). The FC level at week 14 of treatment could predict the clinical and endoscopic remission at week 52 after treatment (area under the curve (AUC) =0.663, 0.773; 95% confidence interval (95% CI): 0.566 to 0.760, 0.694 to 0.852; P=0.006, <0.001). The optimal cutoff value of FC at week 14 of treatment for predicting endoscopic remission at week 52 after treatment was 246.13 μg/g, with a sensitivity of 0.741 and a specificity of 0.671. The results of multivariate logistic regression analysis revealed that FC ≤ 246.13 μg/g at week 14 of treatment ( OR=4.576, 95% CI: 2.021 to 10.363, P<0.001), baseline albumin ( OR=1.093, 95% CI: 1.006 to 1.188, P=0.035), and baseline platelet-to-lymphocyte ratio (PLR) ( OR=0.995, 95% CI: 0.990 to 1.000, P=0.046) were independent influencing factors of endoscopic remission at week 52 after treatment. A predictive model for endoscopic remission at week 52 after IFX treatment was established based on FC ≤ 246.13 μg/g at week 14 of treatment, baseline albumin and PLR. The results of ROC analysis showed that this model had good discriminative ability, with an AUC of 0.780 (95% CI: 0.700 to 0.878) in the validation set, with a sensitivity of 0.812 and a specificity of 0.760. The results of calibration curve analysis demonstrated that the average absolute error of the prediction model in the validation set was 0.038, and the consistency between the predicted probability and the actual probability was good. Conclusion:FC ≤ 246.13 g/g at week 14 of IFX treatment has good predictive value for endoscopic remission at week 52 after treatment in CD patients.

"Double first-class" universities bear the pressure on competitions in scientific research and talents cultivation. Young faculties at these universities commonly face the stress of tenure-track assessment. Many of them are required to engage in part-time counselor work, leveraging their expertise in the value guidance for the students and providing all-round education. This article outlines the formation and development of the part-time counselor system, as well as the importance and necessity of part-time counselors in "double first-class" universities. Taking preventive medicine major of Fudan University as an example, the practical work of part-time counselors are explained. Finally, the responsibility of part-time counselors, as well as shortcomings and prospects of the construction of the part-time counselor team are summarized based on the major characteristics and cultivation goals of preventive medicine major. In a word, part-time counselors play an important role in guiding students' value formation, addressing psychological and life issues, fostering professional identity, mentoring academic research, and engaging in public health practice. In turn, this work deepens young teachers' appreciation of socialist education and strengthens their sense of nationality at the same time. In the future, it is still necessary to further improve the discovery and cultivation of top-notch innovative talents, promote interdisciplinary exchanges, and strengthen public health practice, etc. Strengthen the all-round capacity building of the team of part-time counselors, and accelerate the cultivation of high-quality interdisciplinary public health leaders who serve Healthy China and have an international perspective are of great significance.