ObjectiveTo elucidate the chemical composition of the reference sample of Jinshui Liujunjian and its distribution characteristics in blood and tissues of rats. MethodsUltra performance liquid chromatography-quadrupole-time-of-flight tandem mass spectrometry（UPLC-Q-TOF-MS/MS） was used to detect the reference sample solution， plasma， and tissue samples of Jinshui Liujunjian under positive and negative ion modes， respectively. Qualitative Analysis 10.0 software and a self-constructed database were employed for primary mass spectrum matching.Compound identification was further validated by comparing retention times， secondary mass spectral fragments， reference standards， and literature data to deduce fragmentation pathways. ResultsA total of 122 compounds were identified in the reference sample of Jinshui Liujunjian， including 47 flavonoids， 5 amino acids， 13 iridoids， 16 triterpenoid saponins， etc.， of which 42 compounds were confirmed by comparison with reference substances. A total of 21 prototype components were identified in blood components； 50 prototype components were identified in different tissues， among which 13， 10， 7， 21， 11， 6， 14， and 40 prototype components were identified in the heart， liver， spleen， lung， kidney， brain， large intestine， and stomach， respectively. Among them， 7 compounds such as ferulic acid， glycyrrhizic acid， and nobiletin were exposed in the target organs of lung and kidney. ConclusionThis study elucidates the material basis of the reference samples of Jinshui Liujunjian， primarily composed of flavonoids and triterpenoid saponins， along with their in vivo distribution characteristics. These findings provide a scientific basis for establishing quality evaluation indicators and offer references for subsequent pharmacodynamic and pharmacokinetic investigations.

ObjectiveTo elucidate the chemical composition of the reference sample of Jinshui Liujunjian and its distribution characteristics in blood and tissues of rats. MethodsUltra performance liquid chromatography-quadrupole-time-of-flight tandem mass spectrometry（UPLC-Q-TOF-MS/MS） was used to detect the reference sample solution， plasma， and tissue samples of Jinshui Liujunjian under positive and negative ion modes， respectively. Qualitative Analysis 10.0 software and a self-constructed database were employed for primary mass spectrum matching.Compound identification was further validated by comparing retention times， secondary mass spectral fragments， reference standards， and literature data to deduce fragmentation pathways. ResultsA total of 122 compounds were identified in the reference sample of Jinshui Liujunjian， including 47 flavonoids， 5 amino acids， 13 iridoids， 16 triterpenoid saponins， etc.， of which 42 compounds were confirmed by comparison with reference substances. A total of 21 prototype components were identified in blood components； 50 prototype components were identified in different tissues， among which 13， 10， 7， 21， 11， 6， 14， and 40 prototype components were identified in the heart， liver， spleen， lung， kidney， brain， large intestine， and stomach， respectively. Among them， 7 compounds such as ferulic acid， glycyrrhizic acid， and nobiletin were exposed in the target organs of lung and kidney. ConclusionThis study elucidates the material basis of the reference samples of Jinshui Liujunjian， primarily composed of flavonoids and triterpenoid saponins， along with their in vivo distribution characteristics. These findings provide a scientific basis for establishing quality evaluation indicators and offer references for subsequent pharmacodynamic and pharmacokinetic investigations.

OBJECTIVE The non-volatile and volatile chemical components in Yin-Qiao-Qing-Re Tablets were analyzed sepa-rately using ultra-performance liquid chromatography-quadrupole time-of-flight mass spectrometry(UPLC-Q-TOF-MS/MS)and Gas Chromatography Mass Spectrometry(GC-MS).METHODS The non-volatile components were analyzed using a Waters ACQUITY UPLC BEH C18 column(2.1 mm×100 mm,1.7 μm),with a mobile phase consisting of 0.1％formic acid aqueous solution(A)and acetonitrile(B)for gradient elution,a flow rate of 0.35 mL·min-1,an injection volume of 5 μL,and a column temperature of 30 ℃;the volatile components were analyzed using an Agilent SH-I-5MS column(5％Phenyl Methyl Silox,30 m×250 μm,0.25 μm);the procedure was temperature-programmed,with an injection volume of 1 μL,a split ratio of 10∶1,a flow rate of 1.0 mL·min-1,and an inlet temperature of 200 ℃.RESULTS A total of 134 non-volatile chemical components and 23 volatile components were analyzed and identified from Yin-Qiao-Qing-Re Tablets,among which 49 compounds were confirmed through comparison with reference stand-ards.The non-volatile components mainly include 27 flavonoids,21 organic acids,15 lignans,14 iridoids,12 phenylethanoid glyco-sides,11 saponins,10 alkaloids,5 terpenes,4 amino acids,3 phenylpropanoids,3 nucleosides,3 xanthones,3 phenolic glycosides,2 chromones and 1 carbohydrate.The volatile components mainly include 11 monoterpenes,5 alcohols and phenols,3 alkenes,2 ke-tones,1 ester,and 1 hydrocarbon.CONCLUSION This study rapidly identifies the chemical components of Yin-Qiao-Qing-Re Tablets,laying a preliminary foundation for research on the pharmacodynamic substances of Yin-Qiao-Qing-Re Tablets and the im-provement of quality control standards.

OBJECTIVE To optimize the molding process of Xiebai Granules(XG)using the Box-Behnken design-response surface method combined with the BP neural network method,and to evaluate the consistency of particle quality between different bat-ches by establishing physical fingerprint.METHODS Dry paste powder was used as the main drug,dry granulation was adopted,and the forming rate,dissolution rate,moisture absorption rate and angle of repose of the granules were used as evaluation indexes,the ex-cipients dextrin,maltodextrin and lactose of the particles,were screened by single factor test combined with simplex-lattice design and entropy weight method,and the optimal excipient ratio was selected.The entropy weight method combined with the Box-Behnken de-sign-response surface method and the BP neural network algorithm were used to optimize the process parameters,and the process veri-fication was carried out.The physical fingerprint was used to comprehensively characterize the bulk density(Da),hygroscopicity(H),moisture(HR),tap density(Dc),angle of repose(α),Hausner ratio(IH),relative uniformity index(Iθ),Carr index(IC),and in-terparticle pore number(Ie),and the consistency of particle quality in different batches was evaluated.RESULTS The optimal ratio of excipients was dextrin 15%,maltodextrin 48%,and lactose 37%.The optimal process parameters were conveying speed 95 r·min-1,pressure wheel speed 4 r·min-1 and hydraulic pressure 7 MPa.The similarity of the physical fingerprints of the five bat-ches of XG was greater than 0.98.CONCLUSION The optimized molding process of XG is stable and feasible,and the quality of different batches of XG is stable,which can provide a reference for the development and industrial scale-up production of XG.

Objective To investigate the effect of large artery atherosclerosis(LAA)and non-LAA subtypes on the efficacy of Ginkgo Diterpene Lactone Meglumine(GDLM)in patients with acute ischemic stroke.Methods This was a post-hoc analysis of multicenter,randomized,double-blind,placebo-controlled,and parallel-group trial.A total of 3 448 patients who had acute ischemic stroke were randomly assigned in a 1∶1 ratio to receive the injection of GDLM or the placebo once day within 48 h after symptoms and continued for 14 d.The primary outcome was the proportion of patients with a modified Rankin Scale(mRS)of 0 or 1 on day 90 after randomization.Results A total of 3 448 patients were enrolled,with 1 604(46.52% )patients with non-LAA and 1 844(53.48% )with LAA.Compared to the placebo treatment.GDLM injection effectively improve the functional prognosis,with a higher proportion of mRS score of 0-1 in both non-LAA(OR=1.24,95% CI:1.02-1.51;P=0.03)and LAA(OR=1.37,95% CI:1.14-1.65;P<0.001)group.There was no significant interaction between LAA subtypes with treatment(P=0.48 for interaction).Conclusion Among patients with acute ischemic stroke in this randomized clinical trial,GDLM might improve the favorable clinical outcomes at 90 d compared with placebo,regardless of LAA subtypes.Nevertheless,it is necessary to confirm the findings in the future.

Hypericum attenuatum Choisy.is dry whole grass of the genus Hypericum L.,is a kind of commonly used folk medicinal herbs more than 2400 years.And it is often used to treat heart disease,hemostasis,scald.Based on a review of domestic and international literature,the main chemical components of Hypericum attenuatum Choisy.include PPAPs,flavonoids,and volatile oil,of which PPAPs and xanthone have received the attention of a large number of scholars because of their complex and novel structures and unique pharmacological effects.Modern pharmacological studies have shown that Hypericum attenuatum Choisy.exerts various pharmacological activities,including anti-arrhythmia,reducing blood sugar,anti-tumor,anti-virus,anti-inflammation,as well as the treatment of depression.As a valuable folk medicine,there is relatively little related traditional Chinese medicine products,this review focus on its phytochemistry,and pharmacology,providing a comprehensive perspective and novel ideas for exploring its current and potential applications.

OBJECTIVE To analyze the chemical constituents of Heihuang Chizhu Granules and the blood composition of rats af-ter administration by UPLC-Q-TOF-MS/MS.METHODS A Waters ACQUITY UPLC HSS T3 column(3 mm×100 mm,1.8 μm)was eluted with acetonitrile-0.1%formic acid as mobile phase,and the data were collected in electrospray ion source positive and neg-ative ion mode and then identified with the reference retention time,precise molecular weight,secondary fragment ions,and references to relevant literature.RESULTS A total of 104 chemical components were identified from Heihuang Chizhu Granules,including 26 flavonoids,24 organic acids,14 triterpenoids,8 terpenoids,7 phenylpropanoids,11 monoglycosides,and 14 other components(phe-nols,alkaloids,etc.).On this basis,39 blood-entering components were identified in the plasma of rats administered via gavage,in-cluding 28 prototypes and 11 metabolites.CONCLUSION The chemical constituents of Heihuang Chizhu Granules and the compo-nents entering the blood of rats are analyzed and identified for the first time in this study,and the results provide a scientific basis for the basic research of Heihuang Chizhu Granules and the establishment of process quality control standards.

Purpose To investigate the expression of LAMB3 and ITGB4 in esophageal squamous cell carcinoma(ESCC)and analyze their associations with clinicopathological features.Methods Bioinformatics was used to assess the expression of LAMB3 and ITGB4 in pan-cancer and ESCC.Immunohistochemistry was performed to evaluate their expression and distribution in ESCC tissues,and correlations clinicopathological features were analyzed.Follow-up data were collected to construct Kaplan-Meier survival curves,and Cox regression analysis was proformed to determine their prognostic significance.Results Bioinformatics analysis showed that LAMB3 and ITGB4 were highly expressed in ES-CC tissues(P＜0.001).Immunohistochemistry confirmed that both proteins were localized in the cytoplasm and membrane of tumor cells.High LAMB3 expression was significantly associated with poor differentiation(P＜0.001),lymph node metastasis(P=0.015),and T staging(P＜0.001).High ITGB4 expression was significantly correlated with poor differentiation(P=0.004)and advanced T staging(P=0.004).Cox regression analysis identified high ex-pression of LAMB3 and ITGB4 as independent prognostic factors for overall survival[HR=4.97(95％CI:2.73-9.02);HR=2.33(95％CI:1.36-3.99)].Conclusion LAMB3 and ITGB4 are highly expressed in ESCC.High LAMB3 expression is associated with tumor differentiation,lymph node metastasis,and T staging,while high ITGB4 expression is correlated with tumor differentiation and T staging.Patients with high expression of LAMB3 or ITGB4 have poorer overall survival,suggesting that these proteins may serve as prognostic biomarkers for unfavorable outcome in ESCC.

OBJECTIVE The non-volatile and volatile chemical components in Yin-Qiao-Qing-Re Tablets were analyzed sepa-rately using ultra-performance liquid chromatography-quadrupole time-of-flight mass spectrometry(UPLC-Q-TOF-MS/MS)and Gas Chromatography Mass Spectrometry(GC-MS).METHODS The non-volatile components were analyzed using a Waters ACQUITY UPLC BEH C18 column(2.1 mm×100 mm,1.7 μm),with a mobile phase consisting of 0.1％formic acid aqueous solution(A)and acetonitrile(B)for gradient elution,a flow rate of 0.35 mL·min-1,an injection volume of 5 μL,and a column temperature of 30 ℃;the volatile components were analyzed using an Agilent SH-I-5MS column(5％Phenyl Methyl Silox,30 m×250 μm,0.25 μm);the procedure was temperature-programmed,with an injection volume of 1 μL,a split ratio of 10∶1,a flow rate of 1.0 mL·min-1,and an inlet temperature of 200 ℃.RESULTS A total of 134 non-volatile chemical components and 23 volatile components were analyzed and identified from Yin-Qiao-Qing-Re Tablets,among which 49 compounds were confirmed through comparison with reference stand-ards.The non-volatile components mainly include 27 flavonoids,21 organic acids,15 lignans,14 iridoids,12 phenylethanoid glyco-sides,11 saponins,10 alkaloids,5 terpenes,4 amino acids,3 phenylpropanoids,3 nucleosides,3 xanthones,3 phenolic glycosides,2 chromones and 1 carbohydrate.The volatile components mainly include 11 monoterpenes,5 alcohols and phenols,3 alkenes,2 ke-tones,1 ester,and 1 hydrocarbon.CONCLUSION This study rapidly identifies the chemical components of Yin-Qiao-Qing-Re Tablets,laying a preliminary foundation for research on the pharmacodynamic substances of Yin-Qiao-Qing-Re Tablets and the im-provement of quality control standards.

OBJECTIVE To optimize the molding process of Xiebai Granules(XG)using the Box-Behnken design-response surface method combined with the BP neural network method,and to evaluate the consistency of particle quality between different bat-ches by establishing physical fingerprint.METHODS Dry paste powder was used as the main drug,dry granulation was adopted,and the forming rate,dissolution rate,moisture absorption rate and angle of repose of the granules were used as evaluation indexes,the ex-cipients dextrin,maltodextrin and lactose of the particles,were screened by single factor test combined with simplex-lattice design and entropy weight method,and the optimal excipient ratio was selected.The entropy weight method combined with the Box-Behnken de-sign-response surface method and the BP neural network algorithm were used to optimize the process parameters,and the process veri-fication was carried out.The physical fingerprint was used to comprehensively characterize the bulk density(Da),hygroscopicity(H),moisture(HR),tap density(Dc),angle of repose(α),Hausner ratio(IH),relative uniformity index(Iθ),Carr index(IC),and in-terparticle pore number(Ie),and the consistency of particle quality in different batches was evaluated.RESULTS The optimal ratio of excipients was dextrin 15%,maltodextrin 48%,and lactose 37%.The optimal process parameters were conveying speed 95 r·min-1,pressure wheel speed 4 r·min-1 and hydraulic pressure 7 MPa.The similarity of the physical fingerprints of the five bat-ches of XG was greater than 0.98.CONCLUSION The optimized molding process of XG is stable and feasible,and the quality of different batches of XG is stable,which can provide a reference for the development and industrial scale-up production of XG.