Objective To evaluate the clinical efficacy of the covered stent placements in the treatment of malignant esophageal stenosis and to analyze the interrelated factors and countermeasures of complications.Methods 102 patients with malignant esophageal stenosis were undergone treatment with the covered stent placements through the mouths under X-ray fluoroscopy.The stents included China-made and imports,and the specifications were various.92 patients underwent radiotheraphy before or after process.All cases were followed up after operations.Results The successful rate of operation was 100%,110 covered stents were placed in total.The clinical symptoms of patients disappeared or abated obviously.Complications included:chest pain in 36 cases(35.3 %),restenosis in 7 cases(6.9%),stomach-esophageal countercurrent in 6 cases(5.9%),stent migration in 6 cases(5.9%),esophageal bleeding in 4 cases(3.9%),esophagus-mediastinum fistula in 1 case(1%),stent jam in 1 case(1%)and stent fell off accompanied with rupture partially in 1 case(1%).The mean survival time was 10.6 months.Conclusion The covered stent placement in the treatment of malignant esophageal stenosis is a high effective and easy method,but it is not very safe.

Objective To investigate the influencing factors of unplanned rehospitalization within one year after surgery among adult renal transplant recipients. Methods The clinical data of 299 recipients who underwent renal transplant surgery in the Department of Organ Transplantation of the Affiliated Hospital of Guizhou Medical University from January 2020 to December 2022 were retrospectively analyzed. The recipients were divided into unplanned rehospitalization group and non-rehospitalization group based on whether they experienced unplanned rehospitalization within one year after surgery. Univariate analysis and binary Logistic regression analysis were performed to explore the influencing factors of unplanned rehospitalization within one year after renal transplantation. Results Among the 299 recipients, 102 experienced unplanned rehospitalization, with an incidence rate of 34.11%. Univariate analysis revealedstatistically significant differences were noted between the two groups in terms of gender, occupational status, preoperative underlying disease, rejection reactions, nosocomial infections, immunosuppressive medication regimens, serum creatinine, cystatin C, serum phosphorus, serum potassium, and initial hospitalization duration (P < 0.05). Binary Logistic regression analysis showed that having ≥3 kinds of preoperative underlying disease (OR=2.122, 95%CI, 1.198 to 3.759) and experiencing rejection reactions (OR=3.162, 95%CI, 1.217 to 8.218) were independent risk factors for unplanned rehospitalization within one year after renal transplantation (P < 0.05). Conclusion The rate of unplanned rehospitalization within one year after surgery is relatively high among adult renal transplant recipients. Having ≥3 preoperative underlying disease and experiencing rejection reactions are independent risk factors for unplanned rehospitalization within one year after surgery. Transplantation healthcare teams can develop corresponding strategies targeting these risk factors to reduce the rate of unplanned rehospitalization and alleviate the burden of disease.

【Objective】 To explore the establishment methods of transgenic human umbilical cord mesenchymal stem cells (hUC-MSCs) overexpressing tumor necrosis factor(TNF)-related apoptosis-inducing ligand (TRAIL) based on the transposons, and attempt to apply it on the nude mice mode with glioma. 【Methods】 PiggyBac transposon system specially designed by us was used to prepare non-targeting and Her2-targeting hUC-MSCs that can stably express TRAIL through puromycin screening. The glioma cells expressing firefly luciferase (U87MG-LUC) were injected into the skull of the immunodeficient mice (BALB/c-nu/nu) with 1×10⁶ cells per mouse. After 7 days of injection, the mice transplanted with U87MG were detected with a small animal living imager to determine the size and location of the tumors in skull. Then we injected the glioma-transplantation nude mouse with two kinds of transgenic hUC-MSCs expressing TRAIL (named as untarget-TRAIL and target-TRAIL, respectively), or the non-transgenic hUC-MSCs (all 1×10⁶ cells per mouse) or PBS (named as WT-MSCs and PBS for negative control) respectively, and then monitored the changes of tumor signals by a small animal living imager every week for 3~4 weeks. 【Results】 After six passages to expand the cells, the both transgenic cell lines can stably express TRAIL gene. Their ratio of green fluorescent protein (GFP) positive cells can reach 93%-97%, and the positive ratio of their MSC-specific surface markers still maintained normal (CD34⁺, CD45⁺, and HLA-DR⁺ all <0.1%, CD90>99%, CD73>88%, and CD105 >60%). The median survival time (d) of U87MG-transplanted nude mice in the groups of untarget-TRAIL, target-TRAIL, WT-MSCs, and PBS was 41 vs 39 vs 24 vs 23(P<0.05). 【Conclusion】 The transgenic hUC-MSCs overexpressing TRAIL gene can significantly prolong the survival time of nude mice with brain glioma.

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.