Objective To investigate the clinical effect ofQiju-Dihuang decoction combined with tears naturale(hypromellose 2910,dextran 70 and glycerol eye drops)on dry eye of liver and kidneyYin deficiency patterns.Methods Sixty patients with dry eye in Fangxian People’s Hospital and Fangxian Hospital of TCM from Jan. 2010 to Aug. 2013 were divided into a control group(30 patients)and a treatment group(30 patients) randomly according to registration order. The patients in the control group were treated with tears naturale, while patients in the treatment group were additionally treated withQiju-Dihuang decoction orally on the basis of the control group. Both groups were treated for 8 weeks. After treatment, the clinical symptoms and signs were compared and the changes of breakup time of tear film(BUT), Schirmer test I(S1T)and corneal fluorescein staining(FL)score were measured in both groups.Results The total effective rates in the treatment group and in the control group were 73.33%(22/30)and 46.67%(14/30), respectively. The difference was statistically significant(χ2=4.44,P<0.05). After treatment, the BUT, S1T and FL score of the treatment group and the control group was significantly improved than those before in both groups(t=4.200, 4.374, 9.098, 2.147, 6.627,P<0.05 orP<0.01), and the degrees of BUT, S1T score increased and FL score decreased in the treatment group were superior to those in the control group(t=2.75, 2.43, 3.05,P<0.05 orP<0.01). ConclusionsQiju-Dihuang decoction combined with tears naturale can obviously improve dry eye of liver and kidneyYin deficiency patterns, increase tear secretion, and reduce the damage of canthus and conjunctiva. Its curative effect was superior to simple tears naturale.

0.05),compared with the model group respectively.At the pathological stage of atypical hyperplasia,the expressing activity of Bcl-2 was significantly lower(P 0.05).There was a parallel tendency of expressing activity in either Bax mRNA or Bcl-2 mRNA with Bax or Bcl-2 itself respectively in any stage of pathology.Conclusion The anticancer effect of QBTRF was realized by regulating mitochondrion pathway in the developing process of carcinogenesis among rats.

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.