ObjectiveTo analyze the current status of traditional Chinese medicine （TCM） prediction model research for emerging acute infectious diseases， in order to provide reference for subsequent model construction and optimization. MethodsEight databases， including PubMed， Cochrane Library， and Embase， were systematically searched to comprehensively collect Chinese and English literature on TCM prediction models for emerging acute infectious diseases. The search period ranged from database inception to July 5， 2024. Reporting quality compliance was evaluated using the Transparent Reporting of a Multivariable Prediction Model for Individual Prognosis or Diagnosis—Traditional Chinese Medicine （TRIPOD-TCM） guideline. Risk of bias and applicability were assessed using the Prediction Model Risk of Bias Assessment Tool （PROBAST）. ResultsA total of 21 studies were included， comprising 11 early warning model studies， 5 diagnostic model studies， 3 prognostic model studies， and 2 prescription prediction model studies， involving 84 models in total. The diseases involved were mainly viral infectious diseases such as coronavirus disease 2019 （COVID-19） and hepatitis B. The most frequently applied TCM theory was the "five movements and six climates" theory. The most commonly used modeling method was neural network-based approaches. The most frequently reported predictive factors were meteorological variables， including daily mean temperature， wind speed， precipitation， relative humidity， and vapor pressure. In terms of reporting quality， the included studies showed poor item-level compliance， with only 13 sub-items achieving compliance rates above 50%. Overall compliance ranged from 27% to 59% across studies. Although the included studies showed relatively good applicability， all were assessed as having a high risk of bias. The main sources of bias included inappropriate handling of missing data， absence of calibration methods， and unreasonable validation strategies， indicating deficiencies across multiple stages of model development. ConclusionCurrent research on TCM prediction models for emerging acute infectious diseases exhibits distinctive modeling characteristics. These models are based on traditional TCM theories such as the "five movements and six climates"， incorporate TCM-specific features as predictive variables， and use TCM syndromes as outcomes. However， they generally suffer from low reporting compliance and a high risk of bias. Future studies should systematically design model development and validation processes， adhere to TRIPOD-TCM reporting standards， and apply PROBAST or develop dedicated bias risk assessment tools for TCM prediction models to improve methodological quality and promote their translation into clinical practice.

OBJECTIVE: To observe the effects of moxibustion at "Xinshu" (BL15) and "Feishu" (BL13) on myocardial transferrin receptor 1 (TfR1), ferroptosis suppressor protein 1 (FSP1), atrial natriuretic peptide (ANP), and typeⅠcollagen myocardial collagen fibers (CollagenⅠ) in rats with chronic heart failure (CHF), and to explore the mechanism of moxibustion for ameliorating myocardial fibrosis and improving cardiac function in CHF. METHODS: Fifty SD rats were randomly divided into a normal group (n=10) and a modeling group (n=40). The CHF model was established in the modeling group by ligating the left anterior descending coronary artery. After successful modeling, the rats were randomly divided into a model group (n=9), a moxibustion group (n=8), a rapamycin (RAPA) group (n=9), and a moxibustion+RAPA group (n=9). In the moxibustion group, moxibustion was delivered at bilateral "Feishu"(BL13) and "Xinshu" (BL15), 15 min at each point in each intervention, once daily, for 4 consecutive weeks. In the RAPA group, RAPA solution was administered intraperitoneally at a dose of 1 mg/kg, once daily for 4 consecutive weeks. In the moxibustion+RAPA group, RAPA solution was administered intraperitoneally after moxibustion. Ejection fraction (EF) and left ventricular fractional shortening (FS) were measured after modeling and intervention. After intervention, morphology of cardiac muscle was observed using HE staining and Masson's trichrome staining. Total iron content in myocardial tissue was detected using a colorimetric method. Western blot and qPCR were adopted to detect the protein and mRNA expression of TfR1, FSP1, ANP, and CollagenⅠ in myocardial tissue. RESULTS: Compared with the normal group, the EF and FS values decreased (P<0.01); necrosis, edema, degeneration, and arrangement disorder were presented in cardiomyocytes; inflammatory cells were obviously infiltrated, the structure of myocardial fibers was disarranged, the collagen fibers were obviously deposited and fibrosis increased (P<0.01); the total iron content and the protein and mRNA expression of TfR1, ANP, and CollagenⅠ in myocardial tissue were elevated (P<0.01), while the protein and mRNA expression of FSP1 were reduced (P<0.01) in the model group. Compared with the model group, the moxibustion group showed that EF and FS increased (P<0.01); myocardial cell morphology was improved, and myocardial fibrosis was alleviated (P<0.01); the total iron content and the protein and mRNA expression of TfR1, ANP, and CollagenⅠ in myocardial tissue decreased (P<0.01), while the protein and mRNA expression of FSP1 increased (P<0.01, P<0.05). Compared with the model group, the myocardial fibrosis was increased (P<0.05); the total iron content and the protein and mRNA expression of TfR1, ANP, CollagenⅠ in myocardial tissue were increased (P<0.01), while protein and mRNA expression of FSP1 decreased (P<0.01) in the RAPA group. When compared with the RAPA group and the moxibustion + RAPA group, EF and FS were elevated (P<0.01, P<0.05); myocardial cells were improved in morphology, the total iron content and the protein and mRNA expression of TfR1, ANP, and CollagenⅠ in myocardial tissue decreased (P<0.01), while protein and mRNA expression of FSP1 increased (P<0.01) in the moxibustion group. In comparison with the moxibustion + RAPA group, the RAPA group showed the decrease in EF and FS (P<0.01), the worsened myocardial fibrosis (P<0.01), the increase in the total iron content and the protein and mRNA expression of TfR1, ANP, and CollagenⅠ in myocardial tissue (P<0.01), and the decrease in the protein and mRNA expression of FSP1 (P<0.01). CONCLUSION Moxibustion at "Feishu" (BL13) and "Xinshu" (BL15) can slow down the process of myocardial fibrosis and improve cardiac function in CHF rats. The mechanism of moxibustion may be related to inhibiting ferroptosis through regulating autophagy.
Animals ; Rats ; Heart Failure/physiopathology* ; Moxibustion ; Rats, Sprague-Dawley ; Male ; Receptors, Transferrin/genetics* ; Myocardium/metabolism* ; Acupuncture Points ; Humans ; Chronic Disease/therapy* ; Antigens, CD/metabolism*

Volatile organic compounds (VOCs) and semi-volatile organic compounds (SVOCs) are common organic compounds in indoor and outdoor air, and enter the human body primarily through the respiratory tract and directly damage the respiratory system. Previous studies have suggested that exposure to VOCs/SVOCs may associate with the prevalence, incidence, and progression of asthma, but the extent of the associations is still vague. Furthermore, biomarkers for efficient and simple asthma diagnosis, typing, and attack prediction remain unclear at this stage. From the perspective of the collection and detection methods of VOCs/SVOCs, this paper summarized the epidemiological associations and underlying biological mechanisms between VOCs/SVOCs exposure and the prevalence, incidence, and progression of asthma in children/adults. It also demonstrated the application of VOCs/SVOCs in recent years in assisting asthma diagnosis, such as distinguishing asthma patients from the healthy population, differentiating different asthma phenotypes, and predicting asthma acute exacerbations, aiming to provide a scientific basis for improving current asthma management.

Objective To observe the clinical and transthoracic echocardiographic manifestations of mitral annular disjunction(MAD).Methods Transthoracic echocardiographic data of 990 individuals were retrospectively analyzed.Based on the distance between the attachment point of posterior mitral valve and posterior wall of left ventricle measured on echocardiography,whether there was MAD was judged,and the subjects were divided into MAD group and non-MAD(NMAD)group,and clinical data and echocardiographic parameters were compared between groups.Taken parameters being significantly different between groups as independent variables and the presence or absence of MAD as dependent variable,multivariate binary logistic regression analysis was used to explore correlations of patients' clinical characteristics and transthoracic echocardiographic parameters of MAD.Results MAD was detected in 186 cases(186/990,18.79％).Patients' age,left atrial diameter(LAD),left ventricle diameter(LVD),late diastolic velocity of mitral valve(A)and early diastolic velocity of mitral valve orifices(E)/A in MAD group were all lower than those in NMAD group,while the proportion of moderate and above mitral regurgitation in MAD group was higher than that in NMAD group(all P＜0.05).Patients' age,A and E/A measured with transthoracic echocardiography were all correlated with MAD(all P＜0.05).Conclusion Clinical and transthoracic echocardiographic manifestations of MAD had certain characteristics.

Objective:To investigate the expression and clinical significance of angiomotin-like protein 1 (AMOTL1) and downstream related molecules of Hippo signaling pathway yes-associated protein (YAP) and TAZ in different cervical tissues.Methods:From January 2017 and July 2018 ,102 cervical cancer tissues, 50 cervical squamous epithelial high-grade lesions (HSIL) tissues, 45 low-grade lesions (LSIL) tissues and 50 chronic cervicitis tissues, all of which underwent surgical treatment and pathological diagnosis at Xuzhou Medical University Affiliated Hospital from January 2017 to July 2018, were selected. The expression of AMOTL1 and Hippo pathway downstream related proteins YAP and TAZ were evaluated by immunohistochemistry and their relationship with the clinicopathological parameters of cervical cancer were examined in the cervical tissues of each group. The comparison of inter group rates in count data was conducted using the chi square test. Adopting Spearman correlation analysis method to analyze the relationship between AMOTL1, YAP, and TAZ. Single factor survival analysis was performed using Kaplan Meier curves. Kaplan Meier method and multivariate Cox regression analysis were used to investigate the factors affecting the prognosis of cervical cancer patients.Results:The immunohistochemical results showed that the positive rates of AMOTL1 in chronic cervicitis, LSIL, HSIL, and cervical cancer were 12.00% (6/50), 17.78% (8/45), 28.00% (14/50), and 76.47% (78/102), respectively. The positive expression status of AMOTL1 in chronic cervicitis, LSIL, HSIL and cervical cancer were 12.00%(6/50), 17.78%(8/45), 28.00%(14/50), 76.47%(78/102). The positive rates of YAP in chronic cervicitis, LSIL, HSIL, and cervical cancer were 10.00% (5/50), 15.56% (7/45), 30.00% (15/50), and 63.73% (65/102), respectively. The positive expression of YAP in cervical cancer tissues was higher than that in other groups ( χ2=56.66, P<0.001). The positive rates of TAZ in chronic cervicitis, LSIL, HSIL, and cervical cancer were 8.00% (4/50), 17.78% (8/45), 30.00% (15/50), and 71.57% (73/102), respectively. The positive expression of TAZ in cervical cancer tissues was higher than that in other groups ( χ2=74.71, P<0.001), AMOTL1 positive expression is associated with the International Federation of Gynecology and Obstetrics (FIGO) staging ( χ2=16.28, P=0.001), tissue differentiation degree ( χ2=30.16, P<0.001), and lymph node metastasis ( χ2=5.81, P=0.016), YAP positive expression is associated with FIGO staging ( χ2=15.99, P<0.001), differentiation degree ( χ2=25.06, P<0.001), tumor diameter ( χ2=13.63, P=0.003), and lymph node metastasis ( χ2=5.78, P=0.016), and TAZ positive expression is associated with FIGO staging ( χ2=14.49, P<0.001). tissue differentiation degree ( χ2=25.32, P<0.001), and the presence or absence of lymph node metastasis ( χ2=4.95, P=0.026) are related. Spearman correlation analysis showed a positive correlation between AMOTL1 and YAP expression ( r=0.65, P<0.001), and a positive correlation between AMOTL1 and TAZ expression ( r=0.72, P<0.001), There was a positive correlation between YAP and TAZ expression ( r=0.68, P<0.001). Kaplan Meier survival analysis showed that individuals with positive expression of AMOTL1, YAP, and TAZ proteins had shorter survival times than those with negative expression ( χ2 values were 9.84, 8.64, and 18.57, respectively; P values were 0.002, 0.003, and <0.001, respectively). Multivariate Cox regression analysis showed that FIGO staging ( HR=3.18, 95% CI 1.09-9.29, P=0.034), lymph node metastasis ( HR=16.74, 95% CI 3.20-87.45, P=0.010), AMOTL1 positive expression ( HR=13.06, 95% CI 1.41-121.08, P=0.024), and YAP positive expression ( HR=9.75, 95% CI 1.59-59.52, P=0.014) were risk factors for poor prognosis in cervical cancer patients. Conclusion:AMOTL1, YAP, and TAZ may jointly participate in the malignant transformation process of cervical cancer. AMOTL1 and YAP are closely related to prognosis and may become potential prognostic indicators for cervical cancer.

To summarize the clinical practice of continuous medical service for patients at Shanghai Children′s Medical Center, affiliated with Shanghai Jiao Tong University School of Medicine, from September 2023 to December 2024, following the approval of its extended care qualification. This study utilized a mixed-methods research design that integrates quantitative and qualitative approaches. The quantitative study included a total of 117 subjects, with an age range of 18 to 35 years, an average age of 21.56 years, and a median age of 19 years; there were 59 males and 58 females. The disease types covered four major categories: childhood leukemia and solid tumors (68 cases), congenital structural malformations (25 cases), congenital hereditary metabolic diseases (4 cases), and rare diseases (20 cases). Among the subjects, 57.26% (67 cases) were first-time visitors to SCMC. The patients came from 20 provinces, autonomous regions, and municipalities across the country, with 88.03% (103 cases) from outside Shanghai. The treatment outcomes showed improvement or cure in 80.34% (94 cases) of the subjects, and there were no medical complaints. In addition, a qualitative study was conducted to deeply explore the experiences, confusions, and challenges of receiving or implementing continuous medical services from the perspectives of patients and their families, as well as medical staff. According to the inclusion and exclusion criteria, a total of 44 subjects were included in the study, among them, there were 12 patients, 12 family members who were taking care of the patients in SCMC, and 20 corresponding medical staff members. The results of the qualitative study showed that trust in the attending physicians of the children′s specialty hospital, a good doctor-patient relationship, satisfactory treatment outcomes, and support from medical insurance policies are the main driving forces for patients over 18 years old to receive continuous treatment at children′s specialty hospitals. The medical staff of the hospital also believed that this model can promote patient benefits. In conclusion, under the policy support of the Shanghai Municipal Health Commission, the "Six Fixed" Model for continuous treatment established by SCMC has achieved certain positive results in practice. This provides practical references for the development of continuous treatment in China and offers new strategies for the application of preventive medicine in the field of children′s health.

Objective:To evaluate the therapeutic efficacy of combined therapy with a speaking valve and transcranial direct current stimulation (tDCS) for dysphagia in stroke patients post-tracheostomy.Methods:This retrospective case-control study enrolled 120 stroke patients with post-stroke tracheostomy-associated dysphagia, admitted to the Department of Rehabilitation Medicine at Huai′an Second People′s Hospital. Participants were randomly allocated to either a control group [45 males and 15 females, aged from 46 to 78 (65.78±8.68) years]receiving tDCS and conventional rehabilitation or an intervention group [41 males and 19 females, aged from 46 to 79 (66.32±9.18) years]receiving tDCS plus speaking valve therapy, with 60 patients per group. Swallowing function was assessed before and after a 3-week intervention using the Standardized Swallowing Assessment (SSA), Water Swallowing Test (WST) grading, Functional Oral Intake Scale (FOIS), and Swallowing-quality of life score (SWAL-QOL).The SPSS 22.0 was used for statistical analysis.Results:The intervention group demonstrated a significantly higher overall treatment response rate than the control group [95.0%(57/60) vs 78.3%(44/56), χ2=-6.056, P<0.001]. Post-treatment, the intervention group showed significantly greater improvements, as evidenced by a lower SSA score (21.50±1.82 vs 24.92±1.42, t=-11.480, P<0.001) and superior WST grades (observation group: 45 cases at grade 1, 12 cases at grade 2, 5 cases at grade 3; control group: 33 cases at grade 1, 11 cases at grade 2, 16 cases at grade 3, Z=5.484, P<0.001). Furthermore, the intervention group achieved significantly higher FOIS scores (observation group: 1 case at grade 1, 1 case at grade 2, 1 case at grade 4, 8 cases at grade 5, 7 cases at grade 6, 45 cases at grade 7; control group: 2 cases at grade 1, 7 cases at grade 2, 3 cases at grade 3, 4 cases at grade 4, 5 cases at grade 5, 6 cases at grade 6, 33 cases at grade 7, Z=-3.559, P<0.001) and greater improvements in SWAL-QOL scores ( P<0.001), indicating enhanced oral intake and quality of life. Conclusion:The combination of a speaking valve and tDCS effectively promotes the swallowing recovery and improves quality of life in stroke patients with post-tracheostomy dysphagia. This combined modality represents a promising and effective therapeutic strategy for this patient population.

Somatostatin receptor 1 (SSTR1) is a crucial therapeutic target for various neuroendocrine and oncological disorders. Current SSTR1-targeted treatments, including the first-generation somatostatin analog lanreotide (Lan) and the second-generation analog pasireotide (Pas), show promise but encounter challenges related to selectivity and efficacy. This study presents high-resolution cryo-electron microscopy structures of SSTR1 complexed with Lan or Pas, revealing the distinct mechanisms of ligand-binding and activation. These structures illustrate unique conformational changes in the SSTR1 orthosteric pocket induced by each ligand, which are critical for receptor activation and ligand selectivity. Combined with the biochemical assays and molecular dynamics simulations, our results provide a comparative analysis of binding characteristics within the SSTR family, highlighting subtle differences in SSTR1 activation by Lan and Pas. These insights pave the way for designing next-generation therapies with enhanced efficacy and reduced side effects through improved receptor subtype selectivity.

Objective To prepare in-house coagulation factor Ⅷ(F Ⅷ)inhibitor-positive control material and evaluate its perform-ance.Methods Frozen plasma samples from hemophilia A patients with positive factor Ⅷ inhibitors were pooled,and diluted with Owren's Veronal Buffer(OVB)to 1 BU/mL of the inhibitor concentration in the mixture,then aliquoted and freeze-stored.The homo-geneity and stability of the in-house quality control material were verified,and its suitability was further assessed through intra-laborato-ry reproducibility among different technologists and inter-laboratory comparisons.Results Twenty-one aliquots were randomly tested for homogeneity assessment,yielding an average of 1.05 BU/mL(range 0.9-1.15 BU/mL),with a standard deviation(SD)of 0.083 and coefficient of variation(CV)of 7.90％.The freshly prepared inhibitor-positive control samples contained a concentration of 1.03 BU/mL.After storage at-80℃ for 24 hours,1 week,1 month,2 months,3 months,4 months,5 months,6 months,7 months,8 months,and 9 months,thawed the samples showed relative deviations of 9％,0％,10％,9％,14％,15％,6％,0％,-10％,-5％,and 2％,respectively.The intra-laboratory CV value from different technologists at this center was 7.28％,and the inter-labora-tory CV across different centers was 18.75％.Conclusion The prepared in-house positive control material of Factor Ⅷ inhibitor ex-hibited adequate uniformity and stability.

Objective This study aimed to develop an automated method for syndrome element differenti-ation in Traditional Chinese Medicine(TCM).Methods We first constructed and trained an Instruction-tuned Multi-Task TCM text embedding model(Instr-MT-TCM)using four distinct TCM task datasets,including domain knowledge,synonymous terminology,syndrome differentiation and treatment,and TCM case labels.Subsequently,five TCM diagnostics experts holding master's degrees or higher were organized to screen a real-world TCM case dataset and annotate symptoms and signs.The purpose was to evaluate the F1-score of the proposed method—the combination of Instr-MT-TCM and a Large Language Model(LLM)—by comparing its performance against the manual annotation result on the syndrome element differentiation task.Finally,to validate its feasibility in real-world clinical settings,the method was applied to 48 prostate cancer cases to calculate the syndrome element scores.Results The Instr-MT-TCM model showed rapid performance improvement in its early training phase,achieving a Recall@1(R@1)of 0.848.Experts curated a dataset of 1,793 real-world clinical cases,covering 34 common diseases and 66 syndrome patterns.In the syndrome element differentiation task,the collaborative framework of LLM and Instr-MT-TCM achieved a mean F1-score of 0.927,outperforming the 0.512 from manual annota-tion.The syndrome element analysis revealed that the predominant elements of disease nature were fire(heat)and yin deficiency,while the main elements of disease location were bladder and kidney.Conclusion This study proposes and validates a novel method for automated TCM syndrome element dif-ferentiation based on the synergy between LLM and our custom Instr-MT-TCM model.Achieving a high F1-score(0.927)on real-world data,the method demonstrates excellent accuracy and generalization ability.Its application in prostate cancer analysis highlights its significant clinical potential,offering effective technical support,and a new research direction for intelligent TCM syndrome element differentiation.