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.

This article reviews relevant literature on the prevention and treatment of cancer with hesperidin published in the past 10 years by searching electronic databases such as China National Knowledge Infrastructure（CNKI）， Wanfang， and PubMed， and summarizes the research progress on the anticancer mechanism of hesperidin. Hesperidin has a wide range of pharmacological effects， including anti-inflammatory， antioxidant， antibacterial， antiviral， anticancer， immune-regulatory， anti-radiation， neuroprotective and cardiovascular protective properties and so on. Its anticancer mechanisms mainly include inhibiting cancer cell proliferation， promoting apoptosis， reducing angiogenesis， inhibiting invasion and migration of cancer cells， regulating immunity and autophagy， and exerting antioxidant and anti-inflammatory effects. As a broad-spectrum anticancer drug， hesperidin manifests chemo-preventive and therapeutic effects across various cancers， contingent upon its multifaceted anticancer mechanisms. Furthermore， this article summarizes the synergistic effects of hesperidin in combination with cisplatin， doxorubicin， cyclophosphamide and paclitaxel. It elucidates that hesperidin can enhance the cytotoxicity of these anticancer drugs against cancer cells while mitigating drug resistance and adverse side effects. Nonetheless， the clinical use is somewhat constrained due to its poor water solubility and limited bioavailability. Therefore， this article also outlines the current strategies for enhancing hesperidin's bioavailability， including structural modification， combination with other chemical substances， and utilization of nano drug carriers.The discovery of derivatives of hesperidin not only preserves the anticancer efficacy of hesperidin, but also effectively overcomes the shortcomings of poor water solubility and low bioavailability of hesperidin, effectively predicting the good application prospects of hesperidin and its derivatives.

Objective To construct a decision-making aid for rehabilitation training in patients with ischemic stroke, providing structured guidance and support for patients'decision-making. Methods Based on literature review and semi-structured interviews, a decision-making aid for rehabilitation training in patients with ischemic stroke was initially developed. The Delphi expert consultation method was used to conduct a two-round consultation for 15 experts. Results The response rate and effective rate of the questionnaires in the two rounds of expert consultation were both 100%, indicating a high enthusiasm among the experts; the authority coefficients of the experts in the two rounds of consultation were 0.88 and 0.89, respectively, indicating a high level of expert authority; the Kendall's W coefficients of concordance in the two rounds of expert consultation were 0.298 and 0.398, respectively(P < 0.001), indicating a high degree of consistency among expert opinions. The final decision-making aid for rehabilitation training in patients with ischemic stroke included 4 primary indicators, 9 secondary indicators, and 25 tertiary indicators. Conclusion The decision-making aid for rehabilitation training in patients with ischemic stroke constructed in this study is both scientific and practical, and can help improve the quality of decision-making of patients.

Using chemoproteomic techniques, we first identified EIF2AK2, eEF1A1, PRDX3 and VPS4B as direct targets of berberine (BBR) for its synergistically anti-inflammatory effects. Of them, BBR has the strongest affinity with EIF2AK2 via two ionic bonds, and regulates several key inflammatory pathways through EIF2AK2, indicating the dominant role of EIF2AK2. Also, BBR could subtly inhibit the dimerization of EIF2AK2, rather than its enzyme activity, to selectively modulate its downstream pathways including JNK, NF-κB, AKT and NLRP3, with an advantage of good safety profile. In EIF2AK2 gene knockdown mice, the inhibitory IL-1β, IL-6, IL-18 and TNF-α secretion of BBR was obviously attenuated, confirming an EIF2AK2-dependent anti-inflammatory efficacy. The results highlight the BBR's network mechanism on anti-inflammatory effects in which EIF2AK2 is a key target, and inhibition of EIF2AK2 dimerization has a potential to be a therapeutic strategy against inflammation-related disorders.

With the development of Internet technology and big data, artificial intelligence has been widely used in the field of clinical anesthesia. In the field of clinical teaching, artificial intelligence has also led to a series of innovations and changes in teaching model, contents, and evaluation. With reference to the current status of the application of artificial intelligence in the field of anesthesia, this article analyzes the possible impact of artificial intelligence on teaching model, teaching effect evaluation, teaching management, and ethical issues in clinical anesthesia teaching, so as to provide a theoretical basis for integrating artificial intelligence into clinical anesthesia teaching practice in the future.

Cerebral hemorrhage has a high incidence and numerous complications.Pulmonary in-fection is one of the serious complications of cerebral hemorrhage.Domestic and foreign researchers have developed pulmonary infection prediction models for patients with cerebral hemorrhage,which can provide references for clinical medical staff to identify high-risk groups in the early stage and formulate intervention strategies as soon as possible.This article summarized the risk factors of pulmonary infec-tion,the overview of risk prediction models,the current research status of pulmonary infection predic-tion models,and the significance of prediction,aiming to provide references for the evaluation and pre-vention of pulmonary infection in patients with cerebral hemorrhage.

Cerebral hemorrhage has a high incidence and numerous complications.Pulmonary in-fection is one of the serious complications of cerebral hemorrhage.Domestic and foreign researchers have developed pulmonary infection prediction models for patients with cerebral hemorrhage,which can provide references for clinical medical staff to identify high-risk groups in the early stage and formulate intervention strategies as soon as possible.This article summarized the risk factors of pulmonary infec-tion,the overview of risk prediction models,the current research status of pulmonary infection predic-tion models,and the significance of prediction,aiming to provide references for the evaluation and pre-vention of pulmonary infection in patients with cerebral hemorrhage.

Objective:To study the clinical application of a new classification on location of hepatolithiasis in guiding treatment using percutaneous transhepatic choledochoscopic lithotomy (PTCSL).Methods:The clinical data of 85 consecutive patients with preoperatively diagnosed hepatolithiasis who underwent PTCSL at the First Affiliated Hospital of Nanjing Medical University from January 2017 to July 2021 were prospectively collected. There were 27 males and 58 females, aged from 15 to 86(62±14) years. Hepatolithiasis was classified into five types of stone location based on preoperative imagings: type Ⅰ ( n=12) , stones located in central bile duct, including hilar bile duct and common hepatic duct; type Ⅱ ( n=17) in unilateral hepatic duct with multiple branches; type Ⅲ ( n=24) in unilateral hepatic duct with multiple branches plus central bile duct; type Ⅳ ( n=31) in bilateral hepatic ducts with multiple branches; and type Ⅴ ( n=1) in unilateral hepatic duct with a single branch. Fistulation path, number of procedures, number of bile duct fistula, and complications were recorded. The residual stone rate and stone recurrence rate were compared among the five types. The follow-up was performed to analyse prognosis. Results:A total of 99 biliary fistulae were performed, with one single tract created in 74 patients, two tracts in 9 patients, three tracts in 1 patient, and four tracts in 1 patient. The fistulation path was B2 in 12 patients, B3 in 18 patients, B4 in 1 patient, B5 in 4 patients, B6 in 10 patients, B7 in 4 patients, and B8 in 50 patients. Altogether, 151 choledochoscopic lithotomy procedures were performed (1-3 times per patient, mean 1.78 times). For the 9 patients with residual stones (10.6%, 9/85), there were 3 patients with type Ⅱ and 6 patients with type Ⅳ. There were significant differences in the residual stone rates among the 5 types (χ 2=11.13, P=0.025). Stone recurrence developed in 33 (38.8%) patients, including 2 patients with type Ⅰ, 7 patients with type Ⅱ, 10 patients with type Ⅲ and 14 patients with type Ⅳ (χ 2=9.07, P=0.046). The total intraoperative and postoperative complications rates was 28.2% (24/85). The follow-up period was 4-58 months with the median follow-up time of 30 months. Twelve patients died during the follow-up period, including 1 patient who died from postoperative bleeding, 3 cholangiocarcinoma, 7 biliary cirrhosis-related liver failure, and 1 stone-unrelated disease. Conclusion:Type Ⅳ in the location classification of hepatolithiasis based on PTCSL had significantly higher rates of residual stones and stone recurrence. This new classification is helpful for clinicaians to determine the optimal path using a smaller number of fistulation tracts to clear stones. It improved the efficacy of PTCSL in treating hepatolithiasis.

Chemically defined medium is widely used for culturing mouse embryonic stem cells (mESCs), in which N2B27 works as a substitution for serum, and GSK3β and MEK inhibitors (2i) help to promote ground-state pluripotency. However, recent studies suggested that MEKi might cause irreversible defects that compromise the developmental potential of mESCs. Here, we demonstrated the deficient bone morphogenetic protein (BMP) signal in the chemically defined condition is one of the main causes for the impaired pluripotency. Mechanistically, activating the BMP signal pathway by BMP4 could safeguard the chromosomal integrity and proliferation capacity of mESCs through regulating downstream targets Ube2s and Chmp4b. More importantly, BMP4 promotes a distinct in vivo developmental potential and a long-term pluripotency preservation. Besides, the pluripotent improvements driven by BMP4 are superior to those by attenuating MEK suppression. Taken together, our study shows appropriate activation of BMP signal is essential for regulating functional pluripotency and reveals that BMP4 should be applied in the serum-free culture system.
Animals ; Bone Morphogenetic Protein 4/metabolism* ; Cell Differentiation ; Chromosomal Instability ; Endosomal Sorting Complexes Required for Transport ; Mice ; Mitogen-Activated Protein Kinase Kinases/metabolism* ; Mouse Embryonic Stem Cells/cytology* ; Pluripotent Stem Cells/cytology* ; Signal Transduction ; Ubiquitin-Conjugating Enzymes