ObjectiveTo investigate the mechanisms of Tongnao decoction （TND） in mice with acute ischemic stroke （AIS）. MethodsFifty male C57BL/6J mice were randomly divided into a sham operation group， model group， TND low-dose group （1.86 g·kg^-1）， TND high-dose group （3.72 g·kg^-1）， and butylphthalide （NBP） group （10 mg·kg^-1）， with 10 mice in each group. A mouse model of cerebral ischemic injury was established using photochemical thrombosis （PT）. The sham operation group and model group were administered an equal volume of normal saline by gavage. All five groups were treated once daily for 14 consecutive days. Behavioral tests were performed before modeling and at the end of administration. T₂-weighted imaging （T₂WI） was performed 3 days after modeling to evaluate the extent of injury. Hematoxylin-eosin （HE） staining was used to observe histological changes in the cerebral cortex， and Nissl staining was used to observe neuronal morphology. Cerebral blood flow in mice was detected using a laser speckle contrast imaging （LSCI） system. Immunofluorescence staining was used to detect the cell proliferation marker bromodeoxyuridine （BrdU） and the highly glycosylated type I transmembrane glycoprotein CD34. Western blot analysis was used to detect the expression levels of phosphatidylinositol 3-kinase （PI3K）， protein kinase B （Akt）， glycogen synthase kinase-3β （GSK-3β）， and their phosphorylation levels， as well as tight junction-related proteins zonula occludens-1 （ZO-1）， Occludin， and Claudin-5 in the peri-infarct tissue. Thirty-five zebrafish were randomly divided into normal control group， model group， TND low and high dose groups （0.16， 0.32 g·L^-1） and NBP group （10 μmol·L^-1）， with 7 in each group. A stereoscopic fluorescence microscope was used to observe vascular growth in zebrafish. ResultsImaging showed that PT caused ischemia in the right cortical region. Behavioral tests indicated that， compared with the model group， the drug-treated groups reduced the error rate of irregular balance ladder climbing on the affected side and shortened the tape removal time （P<0.05）. HE staining and Nissl staining showed that， compared with the model group， the drug-treated groups exhibited reduced brain tissue damage， fewer scars， and improved neuronal morphology. LSCI results showed that the drug-treated groups partially restored cerebral blood perfusion and promoted the establishment of collateral circulation compared with the model group. Immunofluorescence staining indicated that the drug-treated groups increased the positive rates of BrdU and CD34 compared with the model group （P<0.01）， promoting angiogenesis. Meanwhile， compared with the model group， the drug-treated groups upregulated the expression levels of p-PI3K， p-Akt， p-GSK-3β， and tight junction proteins ZO-1， Occludin， and Claudin-5 （P<0.05，P<0.01）， and increased the number of intersegmental vessels in zebrafish （P<0.05，P<0.01）. ConclusionTND can promote angiogenesis around the infarct in PT model mice by regulating the PI3K/Akt/GSK-3β signaling pathway， thereby improving cerebral ischemic injury.

To rapidly detect and differentiate Mycoplasma gallisepticum(MG)and Mycoplasma synovialis(MS),two sets of specific primers and TaqMan probes were designed in this study based on the conserved regions of the 16S rRNA gene of two pathogens in NCBI.A dual TaqMan fluorescence quantitative PCR method for simultaneous detection of MG and MS was established by optimizing the reaction conditions,and the specificity,sensitivity,repeatability,and reliability of the method were verified.The results showed that this method could specifically amplify MG and MS without cross reactivity with 21 pathogens.The sensitivity experiment results showed that the detection limits of this method for MG and MS were 5.40×10 1 copies/μL and 6.60 × 10 1 copies/μL,and the sensitivity was 10 to 100 times higher than that of known methods.In addition,the re-sults of repetitive experiments showed that the coefficient of variation within and between groups was less than 1％.Compared with the single PCR amplification method in NY/T 553-2015,the positive sample detection coincidence rate,negative sample detection coincidence rate,and total sample detection coincidence rate were all 100.00％,indicating the strong reliability of this method.Using this method to detect 84 suspected Mycoplasma infected chicken samples,the results showed that the MG positivity rate was 32.14％(27/84),the MS positivity rate was 22.62％(19/84),and the positivity rate of samples infected with MG and MS was 16.67％(14/84).Concurrent-ly,182 healthy chicken cloacal swab samples,118 healthy chicken nasal swab samples,and 74 chicken farm environmental samples were detected,and the results showed that all samples were positive for Mycoplasma.The above results indicate that this method can be applied to the detec-tion of various clinical samples.In summary,the method established in this study had the advanta-ges of high specificity,high sensitivity,and good reproducibility.It could be used for clinical differ-ential diagnosis,epidemiological investigation,and pathogen purification of MG and MS infections.

The identification of constitutional types in traditional Chinese medicine(TCM)is a crucial component in realizing the concept of"treatment before the onset of disease".In recent years,the"Constitution in Chinese Medicine Questionnaire"has been employed as a standardized tool and has achieved notable success in the field of TCM constitution identification.However,there remains scope for further enhancement of its validity and applicability.Techniques for identifying TCM constitutions based on multidimensional phenotypes continue to emerge,yet a universally applicable constitutional determination model has yet to be established.We propose three research and development directions:The self-assessment questionnaires,the non-invasive point-of-care testing models based on TCM constitution phenotype,and the multidimensional phenotype-based constitution identification platforms.By way of an example,we outline specific developmental ideas with a focus on TCM constitution identification technology based on the analysis of exhaled breath.

Objective:To investigate the clinicopathological characteristics and prognostic influencing factors in young breast cancer patients.Methods:A retrospective case series study was conducted. The clinical data of 408 young patients with breast cancer in the Fifth Medical Center of Chinese PLA General Hospital from January 2005 to December 2020 were retrospectively analyzed. The clinical characteristics and prognostic influencing factors of patients were observed. The Kaplan-Meier method was used to analyze overall survival (OS) and disease-free survival (DFS) of patients. Univariate analysis of prognostic factors was conducted by using the log-rank test, and multivariate analysis was performed by using Cox proportional risk model.Results:The median age [ M ( Q1, Q3)] of 408 young female patients with breast cancer was 36 (33, 39) years; the 5-year OS and 5-year DFS rates were 89.9%, 84.0% of 387 breast cancer patients in early and middle stage (except for stage Ⅳ). There were statistically significant differences in the 5-year OS and 5-year DFS rates (excluding stage Ⅳ of DFS) of patients with different clinical staging and molecular subtypes (all P < 0.05). The differences were statistically significant in the 5-year DFS rate of patients with different pathological types and histological grades (all P < 0.05). There were no statistically significant differences in the 5-year OS and DFS rates between the patients receiving breast-conserving surgery or mastectomy (all P > 0.05). The results of multivariate Cox regression analysis indicated that clinical staging ( HR = 3.121, 95% CI: 2.301-4.233, P < 0.001) and molecular classification ( HR = 1.441, 95% CI: 1.126-1.845, P = 0.004) were independent prognostic factors for OS. Additionally, clinical staging ( HR = 3.001, 95% CI: 2.174-4.141, P < 0.001) was identified as an independent prognostic factor for DFS. Conclusions:The prognosis of young breast cancer patients is closely related to clinical staging and molecular subtype. The later the clinical stage is, the poorer prognosis is. Luminal-type breast cancer has a better prognosis than other subtypes. For early-stage breast cancer patients who meet the criteria for breast-conserving surgery, breast-conserving surgery is the first-choice alternative.

Objective To investigate the value of first platelet count(PLT)to respiratory rate(RR)ratio(PLT/RR)on admission in the diagnosis and prognosis of secondary sepsis in pneumonia patients.Methods A total of 100 patients with pneumonia admitted to the First Affiliated Hospital of Army Medical University from May 2023 to August 2024 were selected as subjects.According to the presence or absence of pneumonia sepsis,they were divided into sepsis group(63 cases)and non-sepsis group(37 cases).The secondary sepsis in pneumonia pa-tients were followed up continuously for 30 d.According to the survival situation,they were divided into sur-vival group(54 cases)and death group(9 cases).PLT in peripheral blood was measured,vital signs were col-lected on the first day of admission,and PLT/RR was calculated.The receiver operating characteristic curve was used to evaluate the predictive value of PLT,RR and PLT/RR for secondary sepsis in pneumonia pa-tients.The systemic inflammatory response syndrome(SIRS)score,modified early warning score(MEWS)and quick sequential organ failure assessment(qSOFA)score on admission were calculated,and the clinical predictive value of SIRS score,MEWS and qSOFA score was compared.Results PLT and PLT/RR in sepsis group were lower than those in non-sepsis group(P<0.000 1),RR was higher than that in non-sepsis group(P<0.01).The area under the curve(AUC,95%CI)of PLT,RR and PLT/RR were 0.858(0.785-0.931),0.693(0.589-0.796)and 0.902(0.843-0.962),respectively.The optimal cut-off values were 146.5×109/L,20.5 per minute and 8.075,respectively.The specificity were 8.1%,83.8%and 2.7%,respec-tively.The sensitivity was 33.3%,50.8%and 30.2%,respectively.Compared with the non-sepsis group,the sepsis group had a significantly higher SIRS score(P<0.001),a significantly lower MEWS(P<0.000 1),and no significant difference in qSOFA score between the two groups(P>0.05).The AUC(95%CI)of SIRS score,MEWS and qSOFA score in predicting secondary sepsis in pneumonia patients were 0.717(0.616-0.818),0.748(0.650-0.846)and 0.505(0.389-0.622),respectively.The optimal cut-off values were 4.5,2.5 and 1.5 points,respectively.The specificity were 91.9%,2.7%and 100.0%,respectively.The sensitivity was 42.9%,33.3%and 6.3%,respectively.PLT and PLT/RR in death group were lower than those in sur-vival group(P<0.05),RR was higher than that in survival group(P<0.05).Secondary sepsis in pneumonia patients were followed up for 30 d,Kaplan-Meier survival curve showed that patients with PLT≤138.5×109/L had a lower 30 d survival rate(P=0.007 8).Patients with RR>24.5 per minute had a lower 30 d sur-vival rate(P=0.016 1).Patients with PLT/RR≤6.375 had a lower 30 d survival rate(P=0.002 3).Conclu-sion PLT/RR can be used as a biological index to predict secondary sepsis in pneumonia patients,which is better than SIRS score,MEWS and qSOFA score,and the prognosis of secondary sepsis in pneumonia patients with low PLT/RR is worse.

Objective:To screen the optimal machine learning model for predicting the recurrence condition of hepatocellular carcinoma (HCC) at different time points post-surgery, based on the cutoff value of the Ki67 positive proliferation index condition calculated from recurrence-free survival and combined with various clinical features.Methods:retrospective study included initially treated patients with solitary HCC who underwent radical surgery at the Fifth Medical Center of the PLA General Hospital from January 2013 to March 2023. Data included general clinical data, preoperative laboratory parameters, and surgical pathology information about the subjects. The postoperative recurrence status was assessed by querying the medical record system or by telephone follow-up. The Ki67 positive index cutoff value was determined by the X-tile software based on the patient's recurrence-free survival status and time analysis. Survival rates were calculated using the Kaplan-Meier method, and survival curves were plotted. The study population was randomly divided into training and testing groups in a 7:3 ratio using a computer-generated random number method. The minimum redundancy maximum relevance (mRMR) method was used for feature variable selection. Predictive models for postoperative HCC recurrence conditions in patients with HCC were constructed using random forest, support vector machine, logistic regression, and gradient boosting decision tree machine learning algorithms. Inter-group comparisons for continuous data were performed using the t-test or Mann-Whitney U test. Inter-group comparisons of enumeration data were performed using the Pearson χ2 test, continuity-corrected χ2 test, or Fisher's exact test. Results:The cutoff values for the Ki67 positivity index were 0.3 and 0.5 in 510 cases, with a follow-up time ranging from 1.2 to 11.4 years (median: 6.2 years). The recurrence-free survival time was between 1 and 135 months (median: 32 months), with recurrence-free survival rates post-surgery at 1, 2, 3, and 5 years were 87.5%, 77.1%, 61.2%, and 54.5%, respectively. The top five variables predicted HCC recurrence and non-recurrence conditions following surgical follow-up at 6 months, 1 year, 2 years, and beyond 2 years, in accordance with information obtained by the mRMR screen out. The Ki67 positivity index screened a successfully constructed machine learning model to predict HCC recurrence and non-recurrence conditions following surgical follow-up at 6 months, 1 year, 2 years, and beyond 2 years. The machine learning model based on the gradient boosting decision tree algorithm had the best prediction performance among them (areas under the receiver operating characteristic curves for predicting HCC recurrence within six months in the training and validation sets were 0.996 and 0.946, and accuracies were 0.972 and 0.935, respectively).Conclusion:A machine learning model was successfully constructed using the Ki67 positivity index combined with four readily available clinical features to predict HCC recurrence. The machine learning model based on the gradient boosting decision tree algorithm demonstrated the best performance in terms of predicting HCC recurrence within six months after surgery.

Metabolic-associated fatty liver disease has become a common chronic liver disease with changes in lifestyle and the increasing prevalence rate of overweight and obesity in adults and even children. The liver synthesizes bile acids via cholesterol metabolism, which are important signaling molecules that modulate and regulate host glucose, lipid metabolism, and immunity. Abnormal bile acid metabolism closely correlates with the occurrence and progression of metabolic-associated fatty liver disease. This article systematically organizes the research of bile acid metabolism in children and adults with metabolic-associated fatty liver disease from the perspective of analyzing bile acid profiles by mass spectrometry detection, and compares the characteristics of bile acid metabolic disorders across different age groups and different developmental stages of disease so as to provide a reference for subsequent research.

Objective To understand the epidemiological characteristics and trends of postoperative pneumonia(POP)in tertiary general hospitals in Jiangsu Province,and provide theoretical basis for carrying out targeted pre-vention and control measures.Methods Surgery patients from 22 tertiary general hospitals in 12 cities in north,central,and south of Jiangsu Province from January 1,2022 to December 31,2023 were chosen as studied subjects,occurrence of POP was analyzed and compared.Results A total of 848 274 surgical procedures were performed in 22 hospitals,and 3 606 cases of POP occurred,with an incidence of 0.43％.The incidence in 2023 was 0.37％,which was lower than that in 2022(0.49％),with statistically significant difference(P＜0.001).The top three de-partments with high incidence of POP were neurosurgery(6.71％),cardiothoracic surgery(2.91％),and general surgery(0.77％).Among hospitals of different grades,the incidence of POP in tertiary first-class hospitals was 0.44％,which was higher than that in other tertiary hospitals(0.37％).There was no statistically significant difference in the incidence of POP between municipal and district/county hospitals(P＞0.05).The incidence of POP in hospitals with a bed:infection control full-time staff ratio＜200∶1 was lower than that in hospitals with the ratio ≥200∶1(0.39％vs 0.47％,P＜0.001),while the incidence of POP in hospitals with a proportion ≥30％of full-time staff being doctors was higher than that in hospitals with a proportion＜30％(0.45％vs 0.36％,P＜0.001).The incidence of POP in male patients was higher than that in female patients(0.62％vs 0.26％,P＜0.001).The incidence of POP in elderly patients aged≥65 was higher than that in patients aged＜65(0.73％vs 0.26％,P＜0.001).A total of 2 667 strains of infectious pathogens were detected,with the top three being Acine-tobacter baumannii,Klebsiella pneumoniae,and Pseudomonas aeruginosa,accounting for 28.95％,22.72％,and 15.45％,respectively.The detection rates of carbapenem-resistant Acinetobacter baumannii(CRAB),carba-penem-resistant Klebsiella pneumoniae(CRKP),and carbapenem-resistant Pseudomonas aeruginosa(CRPA)were 60.75％,21.45％,and 32.28％,respectively.The detection rate of CRKP decreased in 2023 compared with 2022,with statistically significant difference(P＜0.05).Conclusion The overall incidence of POP in tertiary general hos-pitals in Jiangsu Province is relatively low,but there are significant differences among different hospitals.There-fore,perioperative prevention and control measures should be carried out based on the epidemiological characteristics of patients.

To rapidly detect and differentiate Mycoplasma gallisepticum(MG)and Mycoplasma synovialis(MS),two sets of specific primers and TaqMan probes were designed in this study based on the conserved regions of the 16S rRNA gene of two pathogens in NCBI.A dual TaqMan fluorescence quantitative PCR method for simultaneous detection of MG and MS was established by optimizing the reaction conditions,and the specificity,sensitivity,repeatability,and reliability of the method were verified.The results showed that this method could specifically amplify MG and MS without cross reactivity with 21 pathogens.The sensitivity experiment results showed that the detection limits of this method for MG and MS were 5.40×10 1 copies/μL and 6.60 × 10 1 copies/μL,and the sensitivity was 10 to 100 times higher than that of known methods.In addition,the re-sults of repetitive experiments showed that the coefficient of variation within and between groups was less than 1％.Compared with the single PCR amplification method in NY/T 553-2015,the positive sample detection coincidence rate,negative sample detection coincidence rate,and total sample detection coincidence rate were all 100.00％,indicating the strong reliability of this method.Using this method to detect 84 suspected Mycoplasma infected chicken samples,the results showed that the MG positivity rate was 32.14％(27/84),the MS positivity rate was 22.62％(19/84),and the positivity rate of samples infected with MG and MS was 16.67％(14/84).Concurrent-ly,182 healthy chicken cloacal swab samples,118 healthy chicken nasal swab samples,and 74 chicken farm environmental samples were detected,and the results showed that all samples were positive for Mycoplasma.The above results indicate that this method can be applied to the detec-tion of various clinical samples.In summary,the method established in this study had the advanta-ges of high specificity,high sensitivity,and good reproducibility.It could be used for clinical differ-ential diagnosis,epidemiological investigation,and pathogen purification of MG and MS infections.

The identification of constitutional types in traditional Chinese medicine(TCM)is a crucial component in realizing the concept of"treatment before the onset of disease".In recent years,the"Constitution in Chinese Medicine Questionnaire"has been employed as a standardized tool and has achieved notable success in the field of TCM constitution identification.However,there remains scope for further enhancement of its validity and applicability.Techniques for identifying TCM constitutions based on multidimensional phenotypes continue to emerge,yet a universally applicable constitutional determination model has yet to be established.We propose three research and development directions:The self-assessment questionnaires,the non-invasive point-of-care testing models based on TCM constitution phenotype,and the multidimensional phenotype-based constitution identification platforms.By way of an example,we outline specific developmental ideas with a focus on TCM constitution identification technology based on the analysis of exhaled breath.