ObjectiveTo identify the pathogen species responsible for the wilt disease of Tetradium ruticarpum in Chongqing， investigate there biological characteristics， and screen effective fungicides， so as to provide a theoretical basis for disease control in production. MethodsThe pathogen was isolated via the tissue culture method. Pathogenicity was verified according to Koch's postulates. The pathogen was identified based on morphological characteristics and multi-gene phylogenetic analysis. The mycelial growth rate method was used for biological characterization of the pathogen and fungicide screening. ResultsThe pathogen colonies were nearly circular with irregular edges， white， short， velvety aerial hyphae， and pale purple undersides. Macroconidia were colorless， sickle-shaped， with 3-5 septa， while microconidia were transparent， elliptical， aseptate or with 1-2 septa. Multi-gene phylogenetic analysis showed that the pathogen clustered in the same clade as Fusarium fujikuroi with 100% support， which， combined with morphological characteristics， identified the pathogen causing wilt of T. ruticarpum in Chongqing as F. fujikuroi. The optimal conditions for the mycelial growth of F. fujikuroi were mung bean agar （MBA） with glucose as the carbon source， beef extract and yeast powder as nitrogen sources， 28 ℃， pH 7.0， and alternating light/dark conditions. The optimal conditions for sporulation were potato dextrose agar （PDA） with glucose as the carbon source， beef extract as the nitrogen source， 28 ℃， pH 7.0， and complete darkness. Among chemical fungicides， phenazine-1-carboxylic acid exhibited the strongest inhibitory effect on F. fujikuroi. Shenqinmycin and tetramycin were the most effective bio-fungicides. ConclusionThis study is the first to report F. fujikuroi as the causal agent of wilt disease in T. rutaecarpa. The chemical fungicide phenazine-1-carboxylic acid and the bio-fungicides shenqinmycin and tetramycin showed strong inhibitory effects against F. fujikuroi.

Objective To explore the value of support vector machine(SVM)model based on gray matter volume(GMV)for identifying amyotrophic lateral sclerosis(ALS),also to analyze the relevant brain regions.Methods MR 3D T1WI data of 60 ALS patients(ALS group)and 60 healthy volunteers(control group)were retrospectively analyzed.Taken GMV of each brain region obtained by voxel-based morphometry as the input features.F-score analysis was used to select feature with the highest classification accuracy to construct SVM model.Receiver operating characteristic curve was drawn to evaluate the efficacy of SVM model for identifying ALS,and top 10％was used as the weight threshold to obtain gray matter brain regions contributed the most to this model.Results SVM model constructed based on the top 40％GMV features had the highest classification accuracy(82.50％),with sensitivity,specificity and area under the curve(AUG)of 85.05％,80.40％and 0.890,respectively.The left precentral gyrus,left anterior cingulate gyrus and paracingulate gyrus,right middle temporal gyrus,opercular part of left inferior frontal gyrus,right dorsolateral superior frontal gyrus,left temporal pole:middle temporal gyrus,right superior occipital gyrus,orbital part of right middle frontal gyrus,right calcarine fissure and surrounding cortex,right fusiform gyrus were the top 1-10 gray matter brain regions contributed to this model.Conclusion ALS had specific GMV change pattern.SVM model based on GMV could be used to effectively identify ALS,while the left precentral gyrus was the most contributive brain region to this model.

AIM To establish the preparation process and quality standard for Zhenggu Pills.METHODS With decoction time,decoction frequency and water addition as influencing factors,comprehensive score for extract yield and transfer rates of epicatechin and naringin as an evaluation index,the decoction process was optimized by orthogonal test.With sugarless paste relative density,medicinal powder fineness,sugarless paste-corn starch ratio,drying temperature and drying time as influencing factors,soft material traits,pill formability,moisture and disintegration time limit as evaluation indices,the formability process was optimized by single factor test.TLC was adopted in the qualitative identification of Dipsaci Radix,salt-processed Psoraleae Fructus,cooked Rhei Radix et Rhizoma and Notoginseng Radix et Rhizoma.HPLC was used for the content determination of paeoniflorin and naringin.RESULTS The optimal decoction process was determined to be 0.5 h for decoction time,two times for decoction frequency,and 10 times for water addition,the comprehensive score was 0.93.The optimal formability process was determined to be 1.21-1.22 for sugarless paste relative density,80 mesh for medicinal powder fineness,1∶0.17-1∶0.18 for sugarless paste-corn starch ratio,70 ℃ for drying temperature,and 24 h for drying time,good soft material traits and pill formability were observable,and moisture and disintegration time limit accored with 2020 edition of Chinese Pharmacopoeia requirements.The TLC spots were clear without negative interference.Two constituents showed good linear relationships within 61.30-490.41 μg/mL(r=0.999 8)and 3.27-26.18 μg/mL(r=0.999 8),whose average recoveries were 100.15％and 98.15％with the RSDs of 0.55％and 2.30％,respectively.CONCLUSION This stable,reliable and specific method can be used for the production and quality evaluation of Zhenggu Pills.

AIM To establish the quantitative models for gallic acid,mononucleoside,loganin,resveratrol,and rhein in Yishen Xiezhuo Mixture.METHODS HPLC was adopted in the content determination of various effective components,after which the near-infrared spectroscopy(NIRS)data were collected in 128 batches of samples and pretreatment was conducted,competitive adaptive reweighting sampling(CARS)algorithm was used for screening wavelength,partial least square method(PLS)regression analysis was performed.RESULTS There were no significant differences between the predicted values obtained by PLS models and measured values obtained by HPLC for various effective components(P＞0.05).CONCLUSION The quantitative models established by NIRS combined with chemometrics display good predictive performance,which can be used for the rapid determination of effective components in Yishen Xiezhuo Mixture,and provide a reference for the rapid monitoring of other traditional Chinese medicine preparations in production processes.

Objective:To investigate the occurrence and influencing factors of oral frailty among the elderly in China.Methods:General information questionnaire,Oral Frailty Scale,Sarcopenia Screening Questionnaire(SARC-F),Social Network Scale-6(LSNS-6)and Subjective Cognitive Decline Questionnaire(SCD-Q9)were used to conduct a survey in Anhui Province.A survey was conducted among 3 063 elderly people to analyze their current status and influencing factors related to oral frailty.Results:The incidence of oral frailty among the elderly in Anhui Province was 46.82％(1434/3063).Binary logistic regression analysis showed sarcopenia(OR=8.742,95％CI:7.156-10.679),social isolation(OR=1.601,95％CI:1.313-1.953),and subjective cogni-tive decline(OR=2.424,95％CI:1.905-3.085),90 years old and above(OR=2.261,95％CI:1.304-3.922)and having disability(OR=1.341,95％CI:1.040～1.729)are risk factors for oral frailty in the elderly in Anhui Province.Conclusion:The incidence of oral frailty is high among the elderly in Anhui Province.Risk factors for oral frailty include sarcopenia,social isolation,subjective cognitive decline,advanced age,and disability.

Objective To explore the application effect of multimodal somatosensory exercise based on artificial intelligence technology in home rehabilitation exercise for elderly patients with chronic obstructive pulmonary dis-ease(COPD),so as to promote COPD patients to participate in home rehabilitation exercise.Methods Using the convenient sampling method,80 elderly patients with COPD admitted to the Department of Respiratory Medicine of a tertiary A hospital in Urumqi from November 2023 to February 2024 were selected as the research subjects.Ac-cording to the random number table method,they were divided into a control group and an experimental group,with 40 cases in each group.The control group adopted the traditional exercise training method,and the experimental group adopted the multi-modal somatosensory movement based on artificial intelligence technology for exercise in-tervention,with 5 times a week,and the intervention was implemented for 12 weeks.The pulmonary function index,modified Medical Research Council scale score,physical fitness level,Chronic Obstructive Pulmonary Disease As-sessment Test scale score and exercise compliance of the 2 groups were compared before intervention and 12 weeks after intervention.Results 77 patients completed the study,with 39 in the experimental group and 38 in the control group.The forced vital capacity,forced expiratory volume in one second,forced expiratory volume in one second to forced vital capacity ratio,physical fitness level and exercise compliance of the experimental group were higher than those of the control group,while the modified British Medical Research Council scale score and Chron-ic Obstructive Pulmonary Disease Assessment Test score were lower than those of the control group.The differences were statistically significant(P＜0.05).Conclusion Somatosensory exercise based on artificial intelligence technology can improve the lung function of the patients with COPD,improve the exercise compliance and physical fitness in-dicators of elderly patients and improve the quality of life of the patients.

Objective:To explore the protective effect of knock-down the expression of B lymphocyte induced maturation protein 1(Blimp1)gene on early liver injury in carbon tetrachloride(CCl4)-induced mouse model of liver fibrosis.Methods:C57BL/6 mice were intraderitoneal injected with 5％CCl4 olive oil solution to create mouse model of hepatic fibrosis.The expression of Blimp1 gene in the mice was re-duced by intraderitoneal injection of short hairpin RNA(shRNA)adeno-associated virus(AAV).The mice were randomly divided into 3 groups:blank test group(n=10),CCl4+AAV-shRNA-NC group(n=10)and CCl4+AAV-shRNA-Blimp1 group(n=10).After 27 days of preparation of the CCl4 mouse model,animal materials were carried out.Western blot and real-time PCR were used to detect the levels of Blimp1,α-smooth muscle actin(α-SMA),collagen type Ⅰ alpha 1(COL1A1),collagen typeⅢ alpha 1(COL3A1),and their mRNA expression levels of liver tissue in each group.The serum of each group was separated to measure aspartate transaminase(AST)and alanine transaminase(ALT)by automatic biochemical analyzer.The pathological changes of liver tissue and the degree of liver fibrosis in the mice were detected by pathological staining including hematoxylin-eosin staining,Masson,and Sirius red.Results:The expression levels of Blimp1 protein in the liver of CCl4+AAV-shRNA-NC group(2.036±0.244,t=3.690,P=0.002)were significantly increased than that of the blank test group.In the CCl4+AAV-shRNA-Blimp1 group,the expression of Blimp1 protein decreased to the basal level(0.783±0.249,t=6.223,P=0.003).Compared with the serum levels of ALT[(1 957.8±633.6)U/L]and AST[(1 808.8±260.1)U/L]in the CCl4+AAV-shRNA-NC group,the serum levels of ALT[(894.0±360.1)U/L,t=3.998,P=0.003]and AST[(820.0±100.6)U/L,t=6.141,P=0.004]in the CCl4+AAV-shRNA-Blimp1 group were significantly decreased.The pathological re-sults of the CCl4+AAV-shRNA-Blimp1 group showed that compared with the CCl4+AAV-shRNA-NC group,the infiltration of inflammatory cells in the liver tissue was reduced and the degree of fibrosis was alleviated.The level of α-SMA(0.676±0.064,t=7.930,P=0.001),COL1A1(1.426±0.143,t=6.364,P=0.003)and COL3A1(1.124±0.198,t=3.440,P=0.026)of liver in the CCl4+AAV-shRNA-Blimp1 group were significantly decreased than that of CCl4+AAV-shRNA-NC group,and the mRNA expression levels were altered as well as their protein levels.Conclusion:Blimp1 plays an important role in CCl4-induced liver fibrosis in mice,and knock-down the expression of Blimp1 gene is beneficial to protect early liver injury in mice.

Aim To investigate the effects of the fangchinoline derivative LYY-32 on the biological prop-erties of the BLM642-1290 DNA helicase,in order to lay a foundation for further research on its antitumor activity.Methods Fluorescence polarization assay,malachite green-phosphate and ammonium molybdate colorime-try,and fluorescein-labeled DNA gel electrophoresis experiments were conducted to study the effects of fangchinoline derivative LYY-32 on the DNA binding activity,ATPase activity,and DNA unwinding activity of BLM642-1290 DNA helicase.The effects of LYY-32 on the DNA unwinding activity of DNA helicase in cells were studied using fluorescent techniques and time-lapse microscopy.Ultraviolet spectral scanning was used to investigate the effects of LYY-32 on the confor-mation of the BLM642-1290 DNA helicase.Results At a concentration of 10 μmol·L-1,the inhibition rate of LYY-32 on BLM642-1290 DNA helicase binding to dsDNA was 53.17％.At a concentration of 5 μmol·L-1,the inhibition rate of LYY-32 on BLM642-1290 DNA helicase binding to ssDNA was 88.49％.The inhibition rate of LYY-32 on the ATPase activity of BLM642-1290 DNA he-licase was 89.3％at a concentration of 50 μmol·L-1.When the concentration of LYY-32 exceeded 5μmol·L-1,its inhibition rate on the DNA unwinding activity of BLM642-1290 DNA helicase was 100％.LYY-32 also significantly inhibited the DNA unwinding ac-tivity of DNA helicase in cells.However,LYY-32 had no effect on the conformation of BLM642-1290 DNA heli-case.Conclusion The DNA binding activity,AT-Pase activity,and DNA unwinding activity of BLM642-1290 DNA helicase could be significantly inhibi-ted by the fangchinoline derivative LYY-32.

Objective To evaluate the changes of perivascular space(PVS)in patients with subacute ischemic stroke(IS),as well as the relationship between PVS and cognitive dysfunction in IS patients,and to analyze the relationship between PVS indicators and cognitive function in subacute IS patients of different ages.Methods A total of 44 healthy controls(HC)and 39 patients with subacute IS were prospectively included.Automated quantitative analysis of MRI data was conducted to determine pPVS in the white matter and subcortical regions.Differences in pPVS between patients with subacute IS and HC were compared.Correlations between age,pPVS,and cognitive dysfunction were analyzed and modeled.Results Compared with the HC,the white matter pPVS in patients with subacute IS was significantly reduced(t=-2.21,P=0.031).In patients with subacute IS,the white matter pPVS showed a significant positive correlation with lesion volume(r=0.42,P=0.030)and mini-mental state examination(MMSE)scores(r=0.44,P=0.018).Both white matter pPVS(r=-0.42,P=0.010)and MMSE scores(r=-3.82,P=0.000 7)were negatively correlated with age.When age was over 61.35 years,there was a positive correlation between the white matter pPVS and MMSE scores.Conclusion PVS are closely related to cognitive impairment in patients with subacute IS.Age is a significant modulating factor in the relationship between PVS and cognitive dysfunction.Early monitoring of PVS and targeting it for intervention may positively impact the improvement of cognitive dysfunction following IS.

Objective:To explore the distribution of pathogenic bacteria causing postoperative infections in chil-dren undergoing surgery for Hirschsprung's disease(HD),and the clinical significance of serum triggering receptor ex-pressed on myeloid cells-1(sTREM-1)and high mobility group box 1(HMGB1).Methods:98 children with HD admit-ted from January 2021 to January 2025 were divided into infection group(n=42)and non-infection group(n=56)accord-ing to whether the children were complicated with infection after operation.Automatic bacterial identification system was used to detect the distribution of pathogenic bacteria in secretion samples from infected sites of HD children after operation.ELISA was used to measure serum sTREM-1 and HMGB1.ROC was used to explore the diagnostic value of serum sTREM-1 and HMGB1 for severe infection in children with HD.Results:A total of 49 strains of pathogenic bac-teria were isolated from 42 children with HD in infection group,of which 63.27%(31/49)were gram-negative bacteria,accounting for the highest proportion,followed by Gram positive bacteria at 30.61%(15/49)and fungi at 6.12%(3/49).Among them,Pseudomonas aeruginosa had the highest proportion of 24.49%(12/49)among Gram negative bacteria.there were 15 cases of mild infection(15 strains of pathogens),16 cases of moderate infection(17 strains of pathogens)and 11 cases of severe infection(17 strains of pathogens).With the aggravation of the infection degree of HD children,the distribution pattern of pathogenic bacteria changed,and gradually changed to mainly gram-negative bacteria infec-tion.Compared with non infected group,the levels of serum sTREM-1 and HMGB1 in infected group were higher(P<0.05).The levels of serum sTREM-1 and HMGB1 in children with severe HD infection are higher than those in children with mild and moderate HD infection(P<0.05).The AUC of the combined diagnosis of serum sTREM-1 and HMGB1 for severe infection in HD children was the highest,at 0.985,which was superior to the separate diagnosis of serum sTREM-1 and HMGB1(Zcombination-sTREM-1=1.988,P=0.047;Zcombination-HMGB1=2.126,P=0.034).Conclusion:Serum sTREM-1 and HMGB1 are elevated in HD children with postoperative infection,and the pathogenic bacteria are mainly gram-negative bacteria.In addition,the combined detection of the two provides a reference for the clinical diagnosis of severe infection in HD children.