Depression is a mental disorder with high morbidity, disability and relapse rates. Ginkgo biloba extract (GBE), a traditional Chinese medicine, has a long history of clinical application in the treatment of cerebral and mental disorders, but the key mechanism remains incompletely understood. Here we showed that GEB exerted anti-depressant effect in mice through regulating gut microbial metabolism. GBE protected against unpredictable mild stress (UMS)-induced despair, anxiety-like and social avoidance behavior in mice without sufficient brain distribution. Fecal microbiome transplantation transmitted, while antibiotic cocktail abrogated the protective effect of GBE. Spatiotemporal bacterial profiling and metabolomics assay revealed a potential involvement of Parasutterella excrementihominis and the bile acid metabolite ursodeoxycholic acid (UDCA) in the effect of GBE. UDCA administration induced depression-like behavior in mice. Together, these findings suggest that GBE acts on gut microbiome-modulated bile acid metabolism to alleviate stress-induced depression.
Humans ; Mice ; Animals ; Depression/drug therapy* ; Gastrointestinal Microbiome ; Plant Extracts ; Ginkgo biloba

This study established a method for rapid quantification of terpene lactone, bilobalide, ginkgolide C, ginkgolide A and ginkgolide B in the chromatographic process of Ginkgo Folium based on near infrared spectroscopy(NIRS). The effects of competitive adaptive reweighting sampling(CARS), random frog(RF), and synergy interval partial least squares(siPLS) on the performance of partial least squares regression(PLSR) model were compared to the reference values measured by HPLC. Among them, the correlation coefficients of prediction(Rp) of validation sets of terpene lactone, bilobalide, and ginkgolide C were all higher than 0.98, and the relative standard errors of prediction(RSEPs) were 5.87%, 6.90% and 6.63%, respectively. Aiming at ginkgolide A and ginkgolide B with relatively low content, the genetic algorithm joint extreme learning machine(GA-ELM) was used to establish the optimized quantitative analysis model. Compared with CARS-PLSR model, the CARS-GA-ELM models of ginkgolide A and ginkgolide B exhibited a reduction in RSEP from 15.65% to 8.52% and from 21.28% to 10.84%, respectively, which met the needs of quantitative ana-lysis. It has been proved that NIRS can be used for the rapid detection of various lactone components in the chromatographic process of Ginkgo Folium.
Chromatography, High Pressure Liquid ; Ginkgo biloba ; Lactones/analysis* ; Least-Squares Analysis ; Spectroscopy, Near-Infrared/methods*

Hallmarks of the pathophysiology of glaucoma are oxidative stress and apoptotic death of retinal ganglion cells (RGCs). Ginkgo biloba extract (EGb) with multi-target, multi-pathway functions has been reported to exert positive pharmacological effects on oxidative stress and damaged RGCs. However, the ingredients and anti-apoptotic targets of EGb in the treatment of open-angle glaucoma (OAG) have not been fully elucidated. Therefore, in-depth analysis is necessary for further research. Ginkgo biloba-related and anti-apoptotic targets were identified and then combined to obtain the intersection, representing the potential anti-apoptotic targets of Ginkgo biloba. In addition, compound-anti-apoptotic target and OAG-target protein-protein interaction network were merged to obtain five core genes and compound-OAG-anti-apoptotic target protein-protein interaction network. Consequently, the active compounds and anti-apoptotic targets of Ginkgo biloba in the treatment of OAG were identified, namely luteolin, β-sitosterol, kaempferol, stigmasterol, quercetin, and p53, Bax, Bcl-2, Caspase-3 and Caspase-9, respectively. For the anti-apoptotic targets of Ginkgo biloba in the treatment of OAG, Gene Ontology (GO) and pathway analysis were executed to confirm the gene functions of Ginkgo biloba in antagonizing apoptosis of RGCs. The pathway enrichment was mainly involved in transcriptional activation of p53 responsive genes, activation of caspases and apoptotic processes. Finally, we confirmed the results of the network analysis by H₂O₂ treated RGC-5 cells in vitro. The results demonstrated that EGb protection can effectively diminish H₂O₂-induced apoptosis by inhibiting p53 acetylation, reducing the ratio of Bax/Bcl-2 and suppressing the expression of specific cleavage of Caspase-9 and Caspase-3.
Ginkgo biloba ; Glaucoma, Open-Angle ; Humans ; Hydrogen Peroxide ; Network Pharmacology ; Plant Extracts ; Retinal Ganglion Cells

The content of total flavonol glycosides in Ginkgo Folium in the planting bases was determined by high performance liquid chromatography(HPLC).The samples were extracted by reflux with methanol-25% hydrochloric acid.The HPLC conditions were as follows: Agilent ZORBAX SB-C_(18) column(4.6 mm×250 mm, 5 μm), isocratic elution with mobile phase of 0.4% phosphoric acid solution-methanol(45∶55), flow rate of 1 mL·min~(-1), column temperature of 30 ℃, detection wavelength of 360 nm, and injection vo-lume of 10 μL.A method for the determination of terpene lactones in Ginkgo Folium was established based on ultra-high performance liquid chromatograph-triple-quadrupole/linear ion-trap tandem mass spectrometry(UPLC-QTRAP-MS/MS).The UPLC conditions were as below: gradient elution with acetonitrile-0.1% formic acid, flow rate of 0.2 mL·min~(-1), column temperature of 30 ℃, sample chamber temperature of 10 ℃, and injection volume of 10 μL.The ESI~+and multiple reaction monitoring(MRM) were adopted for the MS.The above methods were used to determine the content of total flavonol glycosides and terpene lactones in 99 batches of Ginkgo Folium from 6 planting bases, and the results were statistically analyzed.The content of flavonoids and terpene lactones in Ginkgo Folium from different origins, from trees of different ages, harvested at different time, from trees of different genders, and processed with different methods was compared.The results showed that the content of total flavonol glucosides in 99 Ginkgo Folium samples ranged from 0.38% to 2.08%, and the total content of the four terpene lactones was in the range of 0.03%-0.87%.The method established in this study is simple and reliable, which can be used for the quantitative analysis of Ginkgo Folium.The research results lay a basis for the quality control of Ginkgo Folium.
Chromatography, High Pressure Liquid/methods* ; Flavonoids/analysis* ; Flavonols ; Ginkgo biloba ; Glycosides/analysis* ; Lactones/analysis* ; Methanol ; Plant Leaves/chemistry* ; Tandem Mass Spectrometry/methods* ; Terpenes/analysis* ; Trees

The present study prepared a new type of Ginkgo biloba ketone ester(GBE50) preparation from polyethylene glycol and croscarmellose sodium with good biocompatibility and a certain viscosity by fused deposition modeling(FDM)-type 3D printing technique. Firstly, a cylindrical 3D printing model with a diameter of 9.00 mm and a height of 4.50 mm was established. Subsequently, the 3D-GBE50 preparations with three paths(concentric, zigzag, and grid), different layer heights, and different filling gaps were designed and prepared after the optimization of the proportions of excipients. The morphology, size, chemical properties, and dissolution activity of the 3D-GBE50 preparations were fully characterized and investigated. The results showed that 3D-GBE50 preparations had smooth appearance, clear texture, standard friability, good thermal stability, and stable chemical properties. Moreover, the printing path, layer height, and filling gap were directly related to the release rate of 3D-GBE50 preparations. The dissolution of 3D-GBE50 tablets with zigzag printing path was the fastest, while the dissolution rates of 3D-GBE50 tablets with concentric circle and grid-shaped printing paths were slower than that of commercially available G. biloba Ketone Ester Tablets. In addition, the dissolution of 3D-GBE50 tablets was faster with higher layer height and wider filling gap. As revealed by the results, th FDM-type 3D printing technique can flexibly regulate the drug release activity via controlling the printing parameters, providing effective ideas and methods for the pre-paration of personalized pharmaceutical preparations.
Carboxymethylcellulose Sodium ; Esters ; Excipients/chemistry* ; Ginkgo biloba ; Ketones ; Polyethylene Glycols/chemistry* ; Printing, Three-Dimensional ; Tablets/chemistry* ; Technology, Pharmaceutical/methods*

Ultra-high-performance liquid chromatography-Q exactive orbitrap tandem mass spectrometry(UHPLC-QEOrbitrap-MS/MS) was used to explore the inhibitory effect and mechanism of ginkgo flavone aglycone(GA) combined with doxorubicin(DOX) on H22 cells. The effects of different concentrations of GA and DOX on the viability of H22 cells were investigated, and combination index(CI) was used to evaluate the effects. In the experiments, control(CON) group, DOX group, GA group, and combined GA and DOX(GDOX) group were constructed. Then the metabolomics strategy was employed to explore the metabolic markers that were significantly changed after combination therapy on the basis of single medication treatment, and by analyzing their biological significance, the effect and mechanism of the anti-tumor effect of GA combined with DOX were explained. The results revealed that when 30 μg·mL~(-1) GA and 0.5 μmol·L~(-1) DOX was determined as the co-administration concentration, the CI value was 0.808, indicating that the combination of GA and DOX had a synergistic anti-tumor effect. Metabolomics analysis identified 23 metabolic markers, including L-arginine, L-tyrosine and L-valine, mostly amino acids. Compared with the CON group, 22 and 17 metabolic markers were significantly down-regulated after DOX treatment and GA treatment, respectively. Compared with the DOX and GA groups, the treatment of GA combined with DOX further down-regulated the levels of these metabolic markers in liver cancer, which might contribute to the synergistic effect of the two. Five key metabolic pathways were found in pathway enrichment analysis, including glutathione metabolism, phenylalanine metabolism, arginine and proline metabolism, β-alanine metabolism, and valine, leucine and isoleucine degradation. These findings demonstrated that the combination of GA and DOX remarkably inhibited the viability of H22 cells and exerted a synergistic anti-tumor effect. The mechanism might be related to the influence of the energy supply of tumor cells by interfering with the metabolism of various amino acids.
Arginine/therapeutic use* ; Doxorubicin/therapeutic use* ; Flavones/therapeutic use* ; Ginkgo biloba/chemistry* ; Glutathione ; Humans ; Isoleucine/therapeutic use* ; Leucine/therapeutic use* ; Liver Neoplasms/drug therapy* ; Metabolomics/methods* ; Phenylalanine/therapeutic use* ; Proline ; Tandem Mass Spectrometry/methods* ; Tyrosine/therapeutic use* ; Valine/therapeutic use* ; beta-Alanine/therapeutic use*

Near-infrared spectroscopy(NIRS) combined with band screening method and modeling algorithm can be used to achieve the rapid and non-destructive detection of the traditional Chinese medicine(TCM) production process. This paper focused on the ginkgo leaf macroporous resin purification process, which is the key technology of Yinshen Tongluo Capsules, in order to achieve the rapid determination of quercetin, kaempferol and isorhamnetin in effluent. The abnormal spectrum was eliminated by Mahalanobis distance algorithm, and the data set was divided by the sample set partitioning method based on joint X-Y distances(SPXY). The key information bands were selected by synergy interval partial least squares(siPLS); based on that, competitive adaptive reweighted sampling(CARS), successive projections algorithm(SPA) and Monte Carlo uninformative variable(MC-UVE) were used to select wavelengths to obtain less but more critical variable data. With selected key variables as input, the quantitative analysis model was established by genetic algorithm joint extreme learning machine(GA-ELM) algorithm. The performance of the model was compared with that of partial least squares regression(PLSR). The results showed that the combination with siPLS-CARS-GA-ELM could achieve the optimal model performance with the minimum number of variables. The calibration set correlation coefficient R_c and the validation set correlation coefficient R_p of quercetin, kaempferol and isorhamnetin were all above 0.98. The root mean square error of calibration(RMSEC), the root mean square error of prediction(RMSEP) and the relative standard errors of prediction(RSEP) were 0.030 0, 0.029 2 and 8.88%, 0.041 4, 0.034 8 and 8.46%, 0.029 3, 0.027 1 and 10.10%, respectively. Compared with the PLSR me-thod, the performance of the GA-ELM model was greatly improved, which proved that NIRS combined with GA-ELM method has a great potential for rapid determination of effective components of TCM.
Algorithms ; Ginkgo biloba ; Least-Squares Analysis ; Plant Leaves ; Spectroscopy, Near-Infrared

To systematically evaluate the clinical efficacy and safety of Ginkgo Leaf Tablets(GLT) in the treatment of acute cerebral infarction(ACI). Seven databases both at home and abroad were systematically retrieved from their establishment to March 2020. The data of the included studies were extracted after review and screening. The quality of the included studies was assessed with the Cochrane risk bias assessment tool, and then the included studies were put into Meta-analysis by RevMan 5.3 to evaluate the total cli-nical efficiency, neurological function score, blood lipids and incidence of adverse reactions in treatment of ACI by GLT. Finally, the GRADE system was adopted to evaluate the evidence quality of each outcome indicator and form recommendations. Ten studies involving 886 participants were included, all of which were of low quality. Meta-analysis results showed that,(1)in terms of the total clinical efficiency, GLT+Western medicine was superior to Western medicine alone(RR_(NDS)=1.20, 95%CI[1.06, 1.36], P=0.005; RR_(NIHSS)=1.35, 95%CI[1.09, 1.69], P=0.007), and there was no statistical difference between GLT+Xuesaitong Injection+Wes-tern medicine and Xuesaitong Injection+Western medicine(RR=1.16, 95%CI[1.00, 1.35], P=0.05).(2)In terms of improving neurological function score, GLT+Western medicine was superior to Western medicine alone(MD_(NIHSS[moderate(severe)])=-1.55, 95%CI[-2.22,-0.88], P<0.000 01; MD_(NIHSS(severe))=-7.51, 95%CI[-8.00,-7.02], P<0.000 01; MD_(NDS)=-1.36, 95%CI[-2.39,-0.33], P=0.01), and GLT+Danshen Injection+Western medicine was superior to Danshen Injection+Western medicine(MD_(NDS)=-3.09, 95%CI[-3.84,-2.34], P<0.000 01).(3)In terms of regulating blood lipids, GLT+Western medicine was superior to Wes-tern medicine alone(MD_(TC)=-1.40, 95%CI[-2.13,-0.66], P=0.000 2; MD_(TG)=-1.29, 95%CI[-1.86,-0.73], P<0.000 01; MD_(LDL-C)=-1.48, 95%CI[-2.91,-0.04], P=0.04; MD_(HDL-C)=0.07, 95%CI[0.02, 0.12], P=0.009).(4)In terms of incidence of adverse reactions, there was no statistical difference between GLT+Western medicine and Western medicine alone(RR=0.63, 95%CI[0.30, 1.32], P=0.22). The results of the evaluation showed that the evidence level of each outcome indicator was low, and the recommendation was at weak level. In conclusion, GLT+Western medicine could improve the total clinical efficiency, neurological function score, and blood lipid status, with a low incidence of adverse reactions. However, due to the small amount of included stu-dies, low study quality and low level of evidence, it is expected to carry out clinical studies with standardized design and large sample size in the future to further investigate the clinical efficacy and safety of GLT in the treatment of ACI.
Cerebral Infarction/drug therapy* ; Ginkgo biloba ; Humans ; Plant Leaves ; Tablets ; Treatment Outcome

Spatial distribution uniformity is the critical quality attribute(CQA) of Ginkgo Leaves Tablets, a variety of big brand traditional Chinese medicine. The evaluation of the spatial distribution uniformity of active pharmaceutical ingredients(APIs) in Ginkgo Leaves Tablets is important in ensuring their stable and controllable quality. In this study, hyperspectral imaging technology was used to construct the spatial distribution map of API concentration based on three prediction models, further to realize the visualization research on the spatial distribution uniformity of Ginkgo Leaves Tablets. The region of interest(ROI) was selected from each Ginkgo Leaves Tablet, with length and width of 50 pixels, and a total of 2 500 pixels. Each pixel had 288 spectral channels, and the number of content prediction data could reach 1×10~5 for a single sample. The results of the three models showed that the Partial Least Squares(PLS) model had the highest prediction accuracy, with calibration set determination coefficient R_(pre)~2 of 0.987, prediction set determination coefficient R_(pre)~2 of 0.942, root mean square error of calibration(RMSEC) of 0.160%, and root mean square error of prediction(RMSEP) of 0.588%. The classical least-squares(CLS) model had a greater prediction error, with the RMSEP of 0.867%. Multivariate Curve Resolution-Alternating Least Square(MCR-ALS) model showed the worst predictive ability among the three models, and it couldn't realize content prediction. Based on the prediction results of PLS and CLS models, the spatial distribution map of APIs concentration was obtained through three-dimensional data reconstruction. Furthermore, histogram method was used to evaluate the spatial distribution uniformity of API. The data showed that the spatial distribution of APIs in Ginkgo Leaves Tablets was relatively uniform. The study explored the feasibility of visualization of spatial distribution of Ginkgo Leaves Tablets based on three models. The results showed that PLS model had the highest prediction accuracy, and MCR-ALS model had the lowest prediction accuracy. The research results could provide a new strategy for the visualization method of quality control of Ginkgo Leaves Tablets.
Calibration ; Ginkgo biloba ; Least-Squares Analysis ; Medicine, Chinese Traditional ; Plant Leaves ; Quality Control ; Spectroscopy, Near-Infrared ; Tablets

The physical properties of ginkgo leaves extract(GLE) are the critical quality attributes for the control of the manufacturing process of ginkgo leaves preparations. In this study, 53 batches of GLE with different sources from the real world were used as the objects to carry out the research from 3 levels. First, based on micromeritics evaluation method, a total of 29 physical attribute quality parameters in five dimensions were comprehensively characterized, with a total of 1 537 data points. Further, with use of physical fingerprinting technology combined with similarity evaluation, the powder physical properties of 53 batches of GLE showed obvious differences from an overall perspective, and the similarity of the physical fingerprints was 0.876 to 1.000. Secondly, hierarchical clustering analysis(HCA) and principal component analysis(PCA) models were constructed to realize the reliable identification and differentiation of real-world materials produced by GLE from different sources. Multivariate statistical process control(MSPC) model was used to create GLE material Hotelling T~2 and squared prediction error(SPE) control charts. It was found that the SPE score of B_(21) powder exceeded the 99% confidence control limit by 22.495 9, and the SPE scores of A_1 and C_(10) powder exceeded the 95% confidence control limit by 16.099 2, realizing the determination of abnormal samples in the materials of GLE from the production in real world. Finally, the physical quality control method of GLE in the production process of ginkgo leaves preparations was established in this study, providing a reference for the quality control methods of ginkgo leaves preparations in their manufacturing process.
Drugs, Chinese Herbal ; Ginkgo biloba ; Medicine, Chinese Traditional ; Plant Extracts ; Plant Leaves ; Powders ; Quality Control