Objective:To analyze the efficacy of enzyme replacement therapy and anti-drug antibody production in children with Fabry disease.Methods:The clinical data of 7 children with Fabry disease treated with enzyme replacement therapy for more than 1 year at Children′s Hospital of Zhejiang University School of Medicine from July 2021 to June 2024 were retrospectively analyzed. The basic information and the changes of related clinical indicators before and after treatment were collected. Paired sample t test was used to compare renal function, left heart mass index, pain score and other related indexes before and after treatment. The anti-drug antibodies were detected by enzyme-linked immunosorbent assay. Results:A total of 6 boys and 1 girl were included. The age of diagnosis was (12.2±1.8) years. After 1 year of enzyme replacement therapy, the abnormal substrate globotriaosylsphingosine and brief pain inventory scores of all children were significantly lower than those before treatment ((16±11) vs. (63±42) μg/L, 22±19 vs. 45±29, t=3.88, 3.43, both P<0.05). There were no significant differences in glomerular filtration rate, urinary microalbumin to creatinine and left heart mass index before and after treatment ((124±35) vs. (136±26) ml/(min·1.73 m 2), (9.3±8.3) vs. (3.8±2.5) mg/g, (38±9) vs. (33±6) g/m 2.7, t=1.33, 1.74, 1.19, all P>0.05). Patients 4, 5 and 6 developed anti-drug antibodies at 1 month, 4 months and 1 month after medication, respectively. Patient 4 had persistently high anti-drug antibody titers (absorbance 3.65-3.73) accompanied by urticaria, elevated globotriaosylsphingosine and worsening clinical symptoms. Conclusions:The enzyme replacement therapy can effectively improve the clinical symptoms and reduce the level of globotriaosylsphingosine in children with Fabry disease. The anti-drug antibody is common in patients after long-term enzyme replacement therapy and may diminish the efficacy, which needs dynamic monitoring.

The aging trend is intensifying currently,but there is still a lack of standardized diagnosis and treat-ment schemes for severe infections in elderly people.This paper focuses on the recommendations for immune-related clinical diagnosis and treatment routes as well as the idea of risk stratified diagnosis and treatment for elderly peo-ple,aiming to effectively prevent infectious diseases in elderly people and perform stratified management through systematic and scientific means of immune function monitoring and regulation,so as to enhance the standardized level of diagnosis and treatment as well as clinical treatment effect of infection in elderly people.

Human stem cell preparations and related products have been widely utilized in clinical trials and treatments for refractory diseases both domestically and internationally.Due to the complexity of the prepa-ration process for stem cell preparations,current microbial detection methods struggle to meet the safety testing requirements,particularly for release testing within medical institutions.Therefore,it is imperative to develop novel alternative methods to ensure the safe and timely clinical application of stem cell preparations.This article elaborates on the microbial testing procedures and relevant regulatory standards involved in stem cell preparations,covering aspects such as raw material selection,preparation processes,release testing,therapeutic application,and sample retention testing.The aim is to provide a foundation for microbial quality control in the clinical use of stem cell preparations.

ObjectiveTo establish a geographical origin identification model for Foeniculi Fructus from Haiyuan， providing a new technical reference for the protection of Haiyuan's geo-authentic medicinal materials and its designation as a national geographical indication agricultural product. MethodsSamples of Foeniculi Fructus were collected from eight producing areas， including Minqin （Gansu）， Bozhou （Anhui）， Qingdao （Shandong）， Dezhou （Shandong）， Urumqi （Xinjiang）， Nujiang （Yunnan）， Gutuo （Inner Mongolia）， and Haiyuan （Ningxia）. Gas chromatography-ion mobility spectrometry （GC-IMS） was used to detect the volatile organic compounds （VOCs） in samples from these geographic origins. VOCs were qualitatively analyzed through dual matching with the National Institute of Standards and Technology （NIST） mass spectral database and the IMS drift time database. Using the Reporter module and Gallery Plot visualization tools within the LAV analytical platform， VOC fingerprint profiles characterizing geographic origins were constructed. A non-targeted analytical strategy was adopted， and 97 VOCs detected via GC-IMS were subjected to principal component analysis （PCA） and partial least squares discriminant analysis （PLS-DA） based on their differential distribution patterns to construct an origin identification model for Foeniculi Fructus from Haiyuan region. Key discriminative markers were screened using variable importance in projection （VIP） values greater than 1. ResultsA total of 97 VOCs were identified， including alcohols， aldehydes， ketones， esters， organic acids， terpenoids， ethers， alkenes， and benzenes. The PLS-DA model， based on VOCs data obtained by GC-IMS， effectively distinguished Foeniculi Fructus in Haiyuan region from those of other origins. During cross-validation， the model achieved a prediction parameter （Q²） of 0.976 and a goodness-of-fit parameter （R²） of 0.936， with no overfitting observed in permutation testing. Twelve key flavor markers with VIP > 1 were identified as characteristic indicators of Haiyuan origin. ConclusionA stable and highly predictive origin identification model for Foeniculi Fructus from Haiyuan was successfully established using GC-IMS technology， PLS-DA， and VIP-based marker screening. This model provides a novel technical strategy for accurately distinguishing Foeniculi Fructus in Haiyuan region from other regional varieties and offers new technical support for its protection as a geo-authentic medicinal material and a nationally designated geographical indication agricultural product in China.

ObjectiveTo establish a geographical origin identification model for Foeniculi Fructus from Haiyuan， providing a new technical reference for the protection of Haiyuan's geo-authentic medicinal materials and its designation as a national geographical indication agricultural product. MethodsSamples of Foeniculi Fructus were collected from eight producing areas， including Minqin （Gansu）， Bozhou （Anhui）， Qingdao （Shandong）， Dezhou （Shandong）， Urumqi （Xinjiang）， Nujiang （Yunnan）， Gutuo （Inner Mongolia）， and Haiyuan （Ningxia）. Gas chromatography-ion mobility spectrometry （GC-IMS） was used to detect the volatile organic compounds （VOCs） in samples from these geographic origins. VOCs were qualitatively analyzed through dual matching with the National Institute of Standards and Technology （NIST） mass spectral database and the IMS drift time database. Using the Reporter module and Gallery Plot visualization tools within the LAV analytical platform， VOC fingerprint profiles characterizing geographic origins were constructed. A non-targeted analytical strategy was adopted， and 97 VOCs detected via GC-IMS were subjected to principal component analysis （PCA） and partial least squares discriminant analysis （PLS-DA） based on their differential distribution patterns to construct an origin identification model for Foeniculi Fructus from Haiyuan region. Key discriminative markers were screened using variable importance in projection （VIP） values greater than 1. ResultsA total of 97 VOCs were identified， including alcohols， aldehydes， ketones， esters， organic acids， terpenoids， ethers， alkenes， and benzenes. The PLS-DA model， based on VOCs data obtained by GC-IMS， effectively distinguished Foeniculi Fructus in Haiyuan region from those of other origins. During cross-validation， the model achieved a prediction parameter （Q²） of 0.976 and a goodness-of-fit parameter （R²） of 0.936， with no overfitting observed in permutation testing. Twelve key flavor markers with VIP > 1 were identified as characteristic indicators of Haiyuan origin. ConclusionA stable and highly predictive origin identification model for Foeniculi Fructus from Haiyuan was successfully established using GC-IMS technology， PLS-DA， and VIP-based marker screening. This model provides a novel technical strategy for accurately distinguishing Foeniculi Fructus in Haiyuan region from other regional varieties and offers new technical support for its protection as a geo-authentic medicinal material and a nationally designated geographical indication agricultural product in China.

Gastric cancer is one of the malignant tumors with strong invasion and heterogeneity.Individualized treatment of gastric cancer based on precise classification guidance is currently a research hotspot.Microsatellite instability-high(MSI-H)gastric cancer has specific clinical features,tumor microenvironment,and pathological characteristics,which have been used as tumor markers to evaluate the prognosis of gastric cancer patients.In recent years,immunotherapy has brought new hope for the treatment of gastric cancer patients,among whom MSI-H patients are considered the advantageous population for immunotherapy.This paper reports a case of MSI-H metastatic gastric cancer receiving immunotherapy combined with chemotherapy,and provides reference for clinical practice based on literature review.

AIM:To identify surrogate clinical bio-markers for profiling the eosinophilic status of an individual patient over induced sputum analysis.METHODS:We conducted a cross-sectional study on 100 asthmatic patients whose induced sputum was successfully collected.Subjects were further classified into either EA or NEA based on whether the percentage of sputum eosinophil count(SEC％)was≥3％.Demographic and clinical data were col-lected,including basic information,routine blood tests,lung function tests,bronchodilator reversibili-ty tests,fractional exhaled nitric oxide(FeNO),the Asthma Control Test(ACT)and the Asthma Control Questionnaire(ACQ).All variables significantly asso-ciated with EA were candidates for multivariate lo-gistic regression analysis.A scoring system present-ed as a nomogram for the prediction of EA was de-veloped.RESULTS:In the univariate analysis,com-pared with NEA subjects,those with EA were of older age and had worse asthma control and lung function in addition to higher values of blood eosin-ophils,serum IgE and FeNO.Multivariable logistic regression analysis revealed that age,FeNOx serum IgE and blood eosinophil count(BEC)were identi-fied as independent risk factors for eosinophilic asthma,which were all included in the nomogram.CONCLUSION:A combination assessment including age,FeNOx serum IgE and BEC could be applicable to clinicians in identifying eosinophilic asthma and is easier,faster,more inexpensive and more readily available than the induced sputum test.

The aging trend is intensifying currently,but there is still a lack of standardized diagnosis and treat-ment schemes for severe infections in elderly people.This paper focuses on the recommendations for immune-related clinical diagnosis and treatment routes as well as the idea of risk stratified diagnosis and treatment for elderly peo-ple,aiming to effectively prevent infectious diseases in elderly people and perform stratified management through systematic and scientific means of immune function monitoring and regulation,so as to enhance the standardized level of diagnosis and treatment as well as clinical treatment effect of infection in elderly people.

AIM:To identify surrogate clinical bio-markers for profiling the eosinophilic status of an individual patient over induced sputum analysis.METHODS:We conducted a cross-sectional study on 100 asthmatic patients whose induced sputum was successfully collected.Subjects were further classified into either EA or NEA based on whether the percentage of sputum eosinophil count(SEC％)was≥3％.Demographic and clinical data were col-lected,including basic information,routine blood tests,lung function tests,bronchodilator reversibili-ty tests,fractional exhaled nitric oxide(FeNO),the Asthma Control Test(ACT)and the Asthma Control Questionnaire(ACQ).All variables significantly asso-ciated with EA were candidates for multivariate lo-gistic regression analysis.A scoring system present-ed as a nomogram for the prediction of EA was de-veloped.RESULTS:In the univariate analysis,com-pared with NEA subjects,those with EA were of older age and had worse asthma control and lung function in addition to higher values of blood eosin-ophils,serum IgE and FeNO.Multivariable logistic regression analysis revealed that age,FeNOx serum IgE and blood eosinophil count(BEC)were identi-fied as independent risk factors for eosinophilic asthma,which were all included in the nomogram.CONCLUSION:A combination assessment including age,FeNOx serum IgE and BEC could be applicable to clinicians in identifying eosinophilic asthma and is easier,faster,more inexpensive and more readily available than the induced sputum test.

Gastric cancer is one of the malignant tumors with strong invasion and heterogeneity.Individualized treatment of gastric cancer based on precise classification guidance is currently a research hotspot.Microsatellite instability-high(MSI-H)gastric cancer has specific clinical features,tumor microenvironment,and pathological characteristics,which have been used as tumor markers to evaluate the prognosis of gastric cancer patients.In recent years,immunotherapy has brought new hope for the treatment of gastric cancer patients,among whom MSI-H patients are considered the advantageous population for immunotherapy.This paper reports a case of MSI-H metastatic gastric cancer receiving immunotherapy combined with chemotherapy,and provides reference for clinical practice based on literature review.