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.

Mitophagy is a process by which cells selectively eliminate damaged or dysfunctional mitochondria through the autophagy-lysosomal pathway under the regulation of mitophagy-related proteins to maintain mitochondrial quality and cellular homeostasis,and it is closely related to the occurrence and development of a variety of tumors.Increasing studies have shown that mitophagy plays a dual role in breast cancer progression.① Mitophagy promotes breast cancer cell survival and invasion by triggering energy metabolic reprogramming,reducing ROS accumulation and maintaining mitochondrial homeostasis.②Mitophagy leads to death or apoptosis of breast cancer cells by attenuating inflamma-tory responses and triggering mitochondrial damage.The relevant mechanisms include①PTEN induced kinase 1,PINK1(PINK1)/Parkin pathway;② autophagy receptor-associated protein pathway(including BNIP3,BNIP3L and FUNDC1);③ mitochondrial division pathway.This review summarizes the role and mechanism of mitophagy in the hopes of providing reference for research and treatment of breast cancer.

Perihilar cholangiocarcinoma(PHC)is a common malignancy of biliary tract,for which surgery is the most effective treatment.However,its prognosis is not satisfactory even after surgical resection.In recent years,there have been some new advances in the surgical treatment of PHC.In this paper,we reviewed the existing literatures,demonstrated the current situation of preoperative biliary drainage,liver hyperplasia,hepatic resection,liver transplantation and minimally invasive surgery in the treatment of PHC,and prospected the future research direction.

Post-endoscopic retrograde cholangiopancreatography pancreatitis(PEP)is one of the most common complications after endoscopic retrograde cholangiopancreatography(ERCP).Numerous PEP prediction models have been established based on different statistical methods at home and abroad.The PEP prediction model,as a tool for evaluating and screening high-risk populations,can provide a basis for medical staff to find high-risk PEP patients early and take effective preventive measures.In recent years,new PEP prediction models have appeared one after another,but there is still a lack of recognized reliable prediction models in clinic.This article reviews the research status of PEP risk prediction models,aim to provide a direction for establishing a more reliable,accurate,and practical PEP risk prediction model in the later period.

Objective To investigate the effect of miR-22-3p on pyroptosis of vascular smooth muscle cells(VSMCs)induced by homocysteine(Hcy).Methods Human VSMCs were cultured in vitro and divided into a Control group(0 μmol/L Hey)and a Hey group(100 μmol/L Hey).After intervention,expression levels of pro Caspase-1,gasdermin D(GSDMD),N-GSDMD,and NLR family pyrin domain containing 3(NLRP3)were detected by Western blot.MiR-22-3p expression was determined by quantitative real-time reverse-transcription polymerase chain reaction.Interleukin(IL)-1 β and IL-18 levels in the supernatant were measured by enzyme-linked immunosorbent assay.Cells were also transfected with control miR-22-3p(miR-22-3p-NC),miR-22-3p-mimic,and miR-22-3p-inhibitor,to observe the effects on VSMC pyroptosis induced by Hcy.Results Expression levels of pro Caspase-1,GSDMD,N-GSDMD,and NLRP3 in VSMCs were increased(P＜0.05),IL-1 β and IL-18 levels were increased(P＜0.01),and the relative expression level of miR-22-3p was reduced(P＜0.01)in the Hcy group compared with the Control group.Transfection with miR-22-3p-mimic significantly decreased the expression levels of pro Caspase-1,GSDMD,N-GSDMD,and NLRP3 in VSMCs(P＜0.01),and significantly decreased levels of IL-1β and IL-18(P＜0.01),while transfection with miR-22-3p-inhibitor significantly increased the expression levels of pro Caspase-1,GSDMD,N-GSDMD,and NLRP3 in VSMCs(P＜0.01)and significantly increased the levels of IL-1β and IL-18(P＜0.05).Conclusions MiR-22-3p may delay Hcy-induced VSMC pyroptosis.

Objective:To investigate the accuracy and feasibility of applying rapid immunohistochemistry(IHC) with CK5/6 antibodies in prostate biopsy tissues to assist frozen pathology diagnosis.Methods:The data of 41 patients who underwent prostate puncture and frozen tissue rapid IHC with CK5/6 antibody in Beijing Hospital from October 2022 to April 2023 were retrospectively analyzed. The median age of the patients was 76 (69, 79) years old, and the median PSA value was 12.37 (7.07, 26.17) ng/ml.The Prostate Imaging Reporting and Data System (PI-RADS) scores of the target lesions were all ≥3. The PI-RADS score of 9 patients(21.95%) was 3, 15 (36.59%) was 4, and 17(41.46%) was 5. The median diameter of the lesions in the MRI examination was 1.40 (1.09, 2.20) cm.Fourteen lesions (34.14%) were located in the migratory zone, 23 (56.10%) were located in the peripheral zone, and 4 (9.76%) involved both peripheral and migratory zone lesions. Transperineal cognitive fusion targeted combined systematic biopsy was used, and intraoperatively, 1 additional needle was taken from each of the target and non-target areas for frozen pathology section, and hematoxylin eosin(HE) staining and rapid IHC staining with CK5/6 antibody was performed, then the frozen remaining tissue was HE staining and CK5/6 IHC staining. Data such as HE and rapid IHC results of frozen pathology sections and HE and IHC results of routine sections of the frozen remaining tissues, International Society of Urological Pathology (ISUP) grading groupings(GG), and actual diagnostic results of targeted combined systematic puncture were recorded. Using the routine IHC results of the same needle tissue as the gold standard, the sensitivity and positive predictive value of applying rapid IHC frozen pathology to diagnose prostate cancer and the accuracy of its pathological GG were analyzed.Results:Among the 41 patients, a total of 35 cases were diagnosed with prostate cancer(PCa) by HE staining in frozen section of target tissue, with a positivity rate of 85.37%(35/41). Among these, there were 17 cases (48.57%) in ISUP GG 1, 8 cases (22.86%) in GG 2, 4 cases (11.43%) in GG 3, and 6 cases (17.14%) in GG 4 to 5. In addition, a total of 35 cases were diagnosed with PCa by HE staining in frozen remaining section of target tissue, with a positivity rate of 85.37%(35/41). Among these, there were 17 cases (48.57%) in ISUP GG 1, 8 cases (22.86%) in GG 2, 4 cases (11.43%) in GG 3, and 6 cases (17.14%) in GG 4 to 5. The results of rapid IHC of target tissue: 35 cases were negative for CK5/6 expression and 6 cases were positive. The results of routine IHC of target tissue: 35 cases were negative for CK5/6 expression and 6 cases were positive. The results of rapid IHC of non-target tissue: 12 cases were negative for CK5/6 expression and 29 cases were positive. The results of routine IHC of non-target tissue: 12 cases were negative for CK5/6 expression and 29 cases were positive. Thirty-five cases of target tissue rapid IHC diagnosis of PCa were in complete agreement with routine IHC diagnosis, with a false-positive rate of 0, a sensitivity of 100.00% (35/35) and a positive predictive value of 100.00% (35/35). Twelve cases of non-target tissue rapid IHC diagnosis of PCa were in complete agreement with routine IHC diagnosis, with a false-positive rate of 0, a sensitivity of 100.00% (35/35), and a positive predictive value of 100.00% (12/12).Conclusions:The preliminarily study results confirmed that the application of rapid IHC with CK5/6 antibodies in prostate biopsy tissues assisted frozen pathology diagnosis with high accuracy, but the reliability of rapid IHC technology in assisting frozen pathological diagnosis during puncture surgery still needs further validation through large sample size prospective studies.