This paper introduces a real-world cohort research model for community-acquired pneumonia （CAP） based on the Jiangsu Traditional Chinese Medicine （TCM） Dominant Diseases Diagnosis and Treatment Data Platform. Firstly， data cleaning is performed by standardizing diagnosis， symptoms， treatment and imaging， intelligently extracting unstructured information， and cleaning and constructing a standardized database. Secondly， for cohort establishment， CAP patients across the province are screened in accordance with CAP diagnostic criteria to build a high-quality disease-specific cohort. Lastly， in terms of protocol design， the characteristics of TCM research and the CAP disease profile are considered to determine appropriate inclusion and exclusion criteria， estimate sample size， define interventions， outcomes and economic evaluations， providing a reference for real-world TCM research on CAP.

This paper introduces a real-world cohort research model for community-acquired pneumonia （CAP） based on the Jiangsu Traditional Chinese Medicine （TCM） Dominant Diseases Diagnosis and Treatment Data Platform. Firstly， data cleaning is performed by standardizing diagnosis， symptoms， treatment and imaging， intelligently extracting unstructured information， and cleaning and constructing a standardized database. Secondly， for cohort establishment， CAP patients across the province are screened in accordance with CAP diagnostic criteria to build a high-quality disease-specific cohort. Lastly， in terms of protocol design， the characteristics of TCM research and the CAP disease profile are considered to determine appropriate inclusion and exclusion criteria， estimate sample size， define interventions， outcomes and economic evaluations， providing a reference for real-world TCM research on CAP.

ObjectiveHistorically documented Zhejiang Atractylodis Macrocephalae Rhizoma（Baizhu） possesses premium characteristics such as phoenix-like head and crane-like neck， pronounced sweetness， and fragrant aroma. However， its current market circulation is low， and the processed products with Zhejiang-style characteristics are at the risk of being lost. This study aims to preserve the ancient Zhejiang-style processing techniques and evaluate them using modern scientific methods. MethodsMultidimensional intelligent sensory evaluation was used to digitally characterize the "quality-structure" of the external appearance of nine-steamed and nine-processed Baizhu medicinal materials（intermediate processed products） and the "odor-taste" of the internal quality of its decoction pieces（slices）， and the appearance parameters were digitally characterized by colorimeter， texture analyzer， electronic nose and electronic tongue， the chemical composition was analyzed via ultra-performance liquid chromatography-quadrupole-time-of-flight mass spectrometry（UPLC-Q-TOF-MS/MS）. Then， cluster analysis on the differences in odor between the medicinal materials（intermediate processed products） and decoction pieces（slices） of nine-steamed and nine-processed Baizhu was conducted， as well as the differences in taste between water-soluble and alcohol-soluble extracts of the decoction pieces（slices）， and the correlation analysis of chroma value-alcohol-soluble extract content-component response value. ResultsThe nine-steamed and nine-processed Baizhu had a dark brown to black epidermis， a brownish-yellow to brownish-gray cross-section， a slightly tough texture， a faint odor， and a slightly sweet， bitter and pungent taste. Texture analyzer measurements revealed minimal adhesion and maximum recovery in the middle section of the characteristic processed Baizhu， consistent with the processing endpoint of thorough steaming and cooking. The head section showed the highest internal hardness， elasticity and chewiness， indicating a denser texture in this area. The electronic nose sensor could clearly distinguish the difference between the medicinal materials and its decoction pieces， with a more significant clustering effect at 60 ℃ for 30 minutes compared to ambient temperature headspace for 2 hours， highlighting the significant impact of the baking degree before slicing on the quality. The electronic tongue taste signal map clearly distinguished the differences between water-soluble and alcohol-soluble extracts of nine-steamed and nine-processed Baizhu decoction pieces， and the addition of auxiliary materials during processing could enhance its alcohol-soluble extract content. A total of 82 chemical components were identified in the characteristic processed Baizhu. After processing， the contents of 58 components increased， while 24 components decreased. Correlation analysis revealed significant negative correlations（P<0.01） between ethanol-soluble extract content and colorimetric values of brightness（L^*）， yellow-bule value（b^*）， and total color difference（E^*_ab）. E^*_ab showed marked negative correlations（P<0.05） with the response values of isochlorogenic acid A and C. ConclusionThis study establishes a modern intelligent sensory evaluation model for multidimensional holographic characterization of nine-steamed and nine-processed Baizhu， clarifying the correlation between increased isochlorogenic acid content and the visual color appearance after different steaming cycles， as well as its intrinsic alcohol-soluble extracts. This provides a reference for quality evaluation and processing standards of the Zhejiang-style characteristic processed products.

Objective: To explore the influencing factors of anxiety symptoms and to construct a predictive model based on machine learning algorithms, so as to provide support for the prevention and management of anxiety symptoms among junior high school students. Methods: From April to May 2023, a stratified random cluster sampling method was adopted to select 8 176 junior high school students from Zhengzhou and Shangqiu citys. All participants completed the Adolescent Self rating Life Events Checklist, the 10item Connor-Davidson Resilience Scale, the School Connectedness Scale, the Parent-Child Cohesion Questionnaire, and the 7 item Generalized Anxiety Disorder Scale. Logistic regression analysis identified the associated factors of anxiety symptoms among junior high school students. Predictive models were constructed using Logistic regression, Random Forest, and eXtreme Gradient Boosting (XGBoost) algorithms, with SHapley Additive exPlanations analysis explaining the optimal model. Results: The detection rate of anxiety symptoms among junior high school students was 16.3%. Logistic regression analysis showed that junior high school students who were female ( OR =1.22), in the ninth grade ( OR =1.27), living in urban areas ( OR =1.37), having a father with a college education or above ( OR =1.26), having a mother with a senior high school education ( OR =1.26), and experiencing higher levels of negative life events ( OR =1.05) reported a higher risk of anxiety symptoms(all P <0.05). In contrast, those with moderate family economic status ( OR =0.71), moderate academic burden ( OR =0.59), low academic burden ( OR =0.54), moderate sleep quality ( OR =0.46), good sleep quality ( OR =0.26), excellent sleep quality ( OR =0.15), higher levels of psychological resilience ( OR =0.96), higher levels of school connectedness ( OR =0.96), and higher levels of parent-child cohesion ( OR =0.98) reported a lower risk of anxiety symptoms (all P <0.05). Three machine learning models demonstrated good predictive performance for anxiety symptoms among junior high school students (all AUC>0.8), with the XGBoost model achieving the best predictive performance. SHAP analysis revealed that negative life events, sleep quality, school connectedness, psychological resilience and parent-child cohesion were the top five relevant factors for predicting anxiety symptoms. Conclusions The detection rate of anxiety symptoms among junior high school students is relatively high. The XGBoost model is the optimal predictive model for anxiety symptoms in the population. Negative life events, sleep quality, school connectedness, psychological resilience, and parent-child cohesion are significant correlates of anxiety symptoms among junior high school students.

Objective This study reports on the obligatory parasitism of water mites Arrenurus sp. on Anopheles messeae at the Manzhouli Port, Inner Mongolia, China. Methods Duing July 2024, a survey on the mosquito diversity was conducted at the Manzhouli Port. Captured mosquitoes and their ectoparasites were identified to species level. Results A total of 1840 adult mosquitoes were collected, representing species from three genera: Culex(Cx. modestus, Cx. pipiens pallens), Aedes(Ae. dorsalis, Ae. flavidorsalis, Ae. flavescens), and Anopheles (An. messeae). Among all the mosqutioes specimens,3 out of 150 captured An. messeae were found to carry ectoparasitic mites, with number of 2,4,27 mites separately. Morphological and molecular identification reached the same result as water mites(Hydrachnidiae, Hydracrina). COI gene sequence showed 94% similarity with the closest species Arrenurus truncatellus. Conlusions Literature review suggests water mites are host-specific parasitism of mosquito species and herein with the first record of Arrenurus sp. parasiting on An. Messeae in the most high-latitude region globally.

Under the background of new-era technological development and the implementation of national strategies, an increasing number of national major scientific and technological infrastructures led by universities have come into operation. How to take the advantages of national facilities to serve major scientific researches while fostering innovative graduates has become an important issue in recent studies. Taking Shanghai Jiao Tong University as an example and building upon the first National Facility for Translational Medicine (Shanghai), this paper focuses on the cultivation of graduates' innovative research and practical abilities, constructs a three-dimensional collaborative education system of "institutional empowerment-knowledge transfer-capability forging, " and explores the implementation pathway through which national major scientific and technological infrastructures empower innovative talent development. Practice has demonstrated that converting the research and technological advantages of national major scientific and technological infrastructures into high-quality educational resources yields remarkable outcomes in empowering innovative talent development, offering a replicable paradigm for universities to enhance the quality of innovative talent cultivation through national multidisciplinary cross-cutting science and technology platforms such as national major scientific and technological infrastructures.

ObjectiveTo interpret the main contents of the Expert Consensus on Clinical Application of Yifei Zhike Capsules （hereinafter referred to as the Consensus）， analyze its evidence basis， and explore future research directions， thus providing a reference for rational drug use in clinical practice. MethodsThe core contents of the Consensus are summarized. Focusing on clinical issues， this paper summarizes the recommendations and consensus suggestions in the Consensus and explains them from aspects such as indications， key advantages， usage and dosage， combined medication， contraindications， precautions， and safety. ResultsThe Consensus clearly states that Yifei Zhike capsules can be used for acute or chronic bronchitis， pulmonary tuberculosis and other respiratory system diseases. It for the first time proposes that the applicable TCM syndrome of Yifei Zhike capsules is Qi-Yin deficiency together with combined phlegm and stasis. For different diseases， the Consensus provides specific usage instructions， dosage， and treatment course recommendations， supplementing the contents not covered in the drug instructions. In terms of combined medication， the Consensus emphasizes the principle of using this drug in combination with standardized chemotherapy regimens or conventional Western medicines and the applicability for the treatment of pulmonary tuberculosis and moderate to severe acute or chronic bronchitis. In terms of safety， the Consensus proposes methods for identifying common adverse reactions， drug contraindications， and precautions based on a review of the existing data and preliminarily builds a risk management framework. However， the evidence on which the Consensus is based are mostly early studies， with small sample sizes， which result in the low evidence grades （mainly C and D） of some recommendations. ConclusionThe Consensus provides specific guidance for the clinical use of Yifei Zhike capsules. However， due to the limited quality of the existing research evidence， more high-quality clinical studies are needed in the future to further verify its efficacy， safety， and explore its broader application prospects.

Objective To evaluate the value of tripartite motif-containing protein 21(TRIM21)mRNA expression in alveolar macrophages for the serverity and prognosis of patients with severe pneumonia complicated by acute respiratory distress syndrome(SP-ARDS).Methods A retrospective analysis was conducted on 42 SP-ARDS patients(SP-ARDS group)and 15 outpatient healthy controls(control group)admitted to the Department of Respiratory and Critical Care Medicine,Jinling Hospital Affilicated to Medical School of Nanjing University,from November 2023 to June 2024.Bronchoalveolar lavage fluid was collected,and alveolar macrophages were isolated.The expression levels of TRIM21 mRNA were quantified using qPCR.Differences in TRIM21 mRNA expression levels,clinical characteristics,and relevant laboratory test results were compared between the two groups.Correlations between TRIM21 mRNA expression and SP-ARDS severity,28-day mortality,inflammatory indicators,acute physiology and chronic health evaluation Ⅱ(APACHE Ⅱ)scores,duration of mechanical ventilation,and ICU stay were analyzed using Pearson or Spearman correlation analysis.Logistic regression analysis was used to identify risk factors for 28-day mortality,and the predictive value of each factor was evaluated using receiver operating characteristic(ROC)curves.Results Compared with control group,the expression levels of TRIM21 mRNA,white blood cell counts,neutrophil-to-lymphocyte ratio(NLR),and C-reactive protein(CRP),and procalcitonin(PCT)levels increased(P<0.05),and hemoglobin levels decreased(P<0.05)in SP-ARDS group.No significant differences were observed in gender,age,smoking history,alcohol consumption,underlying disease history,and platelet count between the two groups(P>0.05).TRIM21 mRNA expression level in SP-ARDS patients was positively correlated with ARDS severity(P<0.05).Additionally,non-survivors within 28 days had a significantly higher expression level of TRIM21 mRNA compared to survivors(P<0.001).Correlation analysis indicated that the relative expression level of TRIM21 mRNA in SP-ARDS patients was positively correlated with CRP(r=0.309,P<0.05),NLR(r=0.422,P<0.01),PCT(r=0.561,P<0.001),APACHE Ⅱ score(r=0.615,P<0.001),and duration of mechanical ventilation(r=0.665,P<0.001).Logistic regression analysis revealed that elevated expression levels of TRIM21 mRNA(OR=2.886,P=0.043)and higher APACHE Ⅱ scores(OR=1.546,P=0.037)were independent risk factors for 28-day mortality in SP-ARDS patients.The areas under the ROC curves(AUCs)for predicting 28-day mortality using TRIM21 mRNA expression level and APACHE Ⅱ score were 0.889 and 0.874,respectively,with optimal cut-off values of 5.21 and 20.5 points,respectively.The combined AUC for prediction was 0.962.Conclusion Increased TRIM21 mRNA expression in alveolar macrophages of SP-ARDS patients is positively correlated with disease severity and may serve as a potential predictive marker for 28-day survival in SP-ARDS patients.

Objective To explore the application value of fractional anisotropy(FA)analysis of RGB component transformation in different directions of fibers in substantia nigra in Parkinson's disease(PD).Methods There were 35 cases of PD and 37 cases of normal control group.After being performed by brain diffusion tensor imaging(DTI)scanning,the sequence was imported into 3DSlicense 5.6.0,and the diffusion module was used to implement pseudo color mapping based on FA,locate and segment substantia nigra,and use the substantia nigra mask as the tracking starting point.After forming tracing,fibers were imported into DTIANALYSIS 1.51,converting the RGB components into FA values for analysis,and visualized the analysis result.At the same time,fiber length,fiber density,and segmented FA point cloud percentage were compared.Results Compared with the normal group,the length of substantia nigra fibers in the PD group was shorter[(95.14±19.85)mm vs(115.99±21.39)mm,P＜0.01],and there was a statistical difference between the two groups.There was no statistical difference in fiber density[(0.07±0.05)/mm3 vs(0.10±0.12)/mm3,P＞0.05]between control group and PD group.The percentage of FA segment point clouds in the PD group was lower than that in the normal group at 0.9-1,but the principal component characteristics of the point cloud ratios in each FA segment were not significant.Conclusion Based on the transformation of RGB components into FA analysis,the length,density,and FA values of substantia nigra nerve fibers in PD patients can be quantified and visualized,providing a basis for the study of PD neural pathways.

Hepatocellular carcinoma(HCC)expresses abundant glycolytic enzymes and displays comprehensive glucose metabolism reprogramming.Aldolase A(ALDOA)plays a prominent role in glycolysis;however,little is known about its role in HCC development.In the present study,we aim to explore how ALDOA is involved in HCC proliferation.HCC proliferation was markedly suppressed both in vitro and in vivo following ALDOA knockout,which is consistent with ALDOA overexpression encouraging HCC prolifera-tion.Mechanistically,ALDOA knockout partially limits the glycolytic flux in HCC cells.Meanwhile,ALDOA translocated to nuclei and directly interacted with c-Jun to facilitate its Thr93 phosphorylation by P21-activated protein kinase;ALDOA knockout markedly diminished c-Jun Thr93 phosphorylation and then dampened c-Jun transcription function.A crucial site Y364 mutation in ALDOA disrupted its interaction with c-Jun,and Y364S ALDOA expression failed to rescue cell proliferation in ALDOA deletion cells.In HCC patients,the expression level of ALDOA was correlated with the phosphorylation level of c-Jun(Thr93)and poor prognosis.Remarkably,hepatic ALDOA was significantly upregulated in the promotion and progression stages of diethylnitrosamine-induced HCC models,and the knockdown of Aldoa strikingly decreased HCC development in vivo.Our study demonstrated that ALDOA is a vital driver for HCC development by activating c-Jun-mediated oncogene transcription,opening additional avenues for anti-cancer therapies.