OBJECTIVE To study the improvement effect and mechanism of Dendrobium officinale on skin damage in mice with xeroderma. METHODS The mice were randomly divided into control group， model group， and D. officinale group， with 5 mice in each group. Except for the control group （which only underwent shaving treatment）， the mice in all other groups were induced to develop a xeroderma model using an acetone-ether mixture for five consecutive days. The mice in D. officinale group were treated with 200 μL of D. officinale suspension （0.2 mg/mL） two hours after the first modeling each day. Mice in the control group and the model group were applied with an equal volume of pure water； once a day， until the end of the modeling process. After last medication， skin lesions and pathological morphology of the mice were observed. Immunofluorescence was used to detect the expressions of Filaggrin， Loricrin and Ki67 proteins in skin tissue of the mice. The core pathways through which D. officinale improves skin damage in xeroderma were screened using 16S rRNA sequencing combined with gene ontology and Kyoto Encyclopedia of Genes and Genomes （KEGG） enrichment analyses， and subsequent validation was conducted. RESULTS Compared with the control group， the mice in the model group exhibited obvious scratching behavior， with a large amount of scale on the skin， excessive epidermal keratinization， and thickened stratum spinosum. The skin scale score， epidermal thickness， and the expression levels of Ki67， Filaggrin， and Loricrin proteins in the skin tissue were significantly increased/elevated （ P ＜0.05）. Compared with model group， the mice in the D. officinale group exhibited reduced scratching behavior and scaling， along with a mitigated degree of skin keratinization. The aforementioned quantitative indicators were significantly decreased/reduced （ P ＜0.05）. The results of core pathway screening revealed that the KEGG pathways involving differentially expressed genes included signaling pathways such as interleukin-17 （IL-17） and tumor necrosis factor （TNF）. Further validation experim ents found that after intervention with D. officinale ， mRNA expression of downstream effector molecules CCN1， Hbegf， Tnfrsf12a， and Thbs1 genes in skin tissues were all significantly reduced （ P ＜0.05）. CONCLUSIONS D. officinale can repair skin damage in mice with xeroderma， and its mechanism of action is related to restoring the balance of proliferation and differentiation in keratinocytes and down-regulating the mRNA expressions of CCN1， Hbegf， Tnfrsf12a， and Thbs1.

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.