AIM To improve the quality standard for Guanxin Shengmai Pills.METHODS TLC was adopted in the qualitative identification of Ginseng Radix et Rhizoma and Notoginseng Radix et Rhizoma,the analysis was performed on a silica G thin layer plate,along with the low layer solution of chloroform-methanol-water(13 : 7 : 2)stood at below 10℃ as a mobile phase,and 10％sulfuric acid ethanol solution as a derivatization reagent.HPLC was applied to determining the contents of ginsenoside Rg1,ginsenoside Re,ginsenoside Rb1 and ginsenoside Rd,the analysis was performed on a 20℃ thermostatic Thermo Accucore-C18 column(4.6 mm×150 mm,2.6 μm),with the mobile phase comprising of acetonitrile-water flowing at 0.8 mL/min in a gradient elution manner,and the detection wavelength was set at 203 nm.RESULTS The clear TLC bands present without negative interference.Four constituents showed good linear relationships within their own ranges(R2≥0.999 9),whose average recoveries were 91.21％-106.86％with the RSDs of 0.68％-1.43％.CONCLUSION This specific and reproducible method can provide a reference for the quality control of Guanxin Shengmai Pills.

The traditional commodity specifications of Chinese medicinal materials are mainly divided into different grades based on macroscopic characteristics. As the basis for high quality and good price, there is still a lack of systematic evaluation on whether they are consistent with the current standards and whether they can reflect the internal quality of medicinal material. Panax notoginseng is a commonly used, large consumption of Chinese medicinal material. At present, it is divided into 8 grades in the market based on "Tou" (the number of crude drug /500 g), but it is not related to the standard of total saponins of Panax notoginseng (the sum of three saponins) in Chinese Pharmacopoeia. In this study, ultra-performance liquid chromatography-quadrupole-time of flight mass spectrometry (UPLC-Q-TOF-MS/MS) coupled with mass spectrometry molecular network were used for the rapid identification of saponins of Panax notoginseng with different "Tou" and a total of 64 saponins were identified. Seventeen saponins related to "Tou" were screened by orthogonal partial least squares discriminant analysis (OPLS-DA). The content of five saponins R₁, Rb₁, Rg₁, Rd, and Re in Panax notoginseng with different "Tou" was determined by high performance liquid chromatography (HPLC). The results of correlation analysis showed that Rd and R₁ with the largest VIP values among the differential saponins, which significantly negatively correlated with "Tou" (P < 0.05). Based on the determination results of 36 batches of samples, using Rd/Total Panax notoginseng saponins (TPNS) ratio ( > 0.08) as the index, Panax notoginseng can be divided into two grades: 20-60 "Tou" (superior) and 80-200 "Tou" (qualified). Based on the concept of "macroscopic characteristics and chemical profiling", this study integrates the non-targeted analysis and quantitative determination methods to provide a new strategy for quality evaluation of Panax notoginseng.

In order to study the compounds from Glechoma longituba (Nakai) Kupr. and explore the substance bases of its dissipating blood stasis, MCI, silica gel, Sephadex LH-20, ODS column chromatography and preparative thin layer chromatography were used to isolate and purify the compounds. The structures were identified by MS, 1D NMR, and 2D NMR spectra analysis, etc. Eight triterpenoids were isolated from dichloromethane fraction of ethanol extract from G. longituba and identified as 2α,3α,16β-trihydroxy-13α,27-cyclours-11-en-28-oic acid (1), 28-norurs-12-ene-3β,17β-diol (2), 28-norolean-12-ene-3β,17β-diol (3), oleanonic acid (4), 3β,13β-dihydroxyurs-11-en-28-oic acid (5), uvaol (6), oleanolic acid (7), ursolic acid (8). Compound 1 is a new hexacyclic triterpene with 13α,27-cyclopropane structure, named euscaphic acid H; compounds 2 and 3 were isolated from Lamiaceae for the first time while compounds 4 and 5 were isolated from this genus. The in vitro anticoagulant activity of triterpenoids was evaluated by four coagulation indexes (activated partial thromboplastin time, APTT; thrombin time, TT; prothrombin time, PT; fibrinogen, FIB). Among them, compounds 1 and 6 showed obvious anticoagulant effects.

Inflammatory bowel disease (IBD) is characterized by chronic relapsing intestinal inflammation and encompasses ulcerative colitis (UC) and Crohn's disease (CD). IBD has emerged as a global healthcare problem. Clinically efficacious therapeutic agents are deficient. This study concentrates on models of ulcerative colitis with the objective of discovering novel therapeutic strategies. Previous investigations have established that schisandrin A demonstrates anti-inflammatory effects in vitro, concurrently enhancing the transcriptional activity of farnesoid X receptor (FXR). FXR inversely modulates the transcriptional activity of NF-κB, which has an important role in regulating inflammatory responses. Consequently, the current study was to explore the safeguarding influence of schisandrin A on ulcerative colitis and delineate the mechanism by which it regulates this effect through the FXR signaling pathway. The effect of schisandrin A on the mRNA levels of inflammatory factors was evaluated in RAW264.7 cells. The dual luciferase reporter gene assay was used to verify the relationship between schisandrin A and FXR targeting. The animal experiments were performed in accordance with the regulations of the Animal Ethics Committee of Shanghai University of Traditional Chinese Medicine (approval No. PZSHUTCM2304250005). Acute ulcerative colitis was induced in wild-type or FXR knockout C57BL/6 mice by drinking 3% dextran sodium sulfate (DSS) for 7 days, and schisandrin A was administered via gavage for a continuous treatment period of 7 days. The body weight and faecal were monitored daily. The mRNA levels of inflammatory factors in colon tissue and FXR target genes were measured by RT-qPCR. The findings revealed that schisandrin A, in vitro, impeded the lipopolysaccharide (LPS)-induced elevation in mRNA levels of inflammatory factors and schisandrin A could augment transcriptional activity of FXR. In wild-type mice, schisandrin A significantly improved weight loss, colon shortening, loose stools and blood in stools in mice with acute ulcerative colitis, and schisandrin A significantly reduced the expression of pro-inflammatory factors genes and significantly increased the expression of FXR target genes in colon tissues. In FXR knockout mice, the administration of schisandrin A failed to yield ameliorative effect on acute ulcerative colitis in mice. In conclusion, schisandrin A can reduce intestinal inflammation through the FXR signaling pathway to alleviate acute ulcerative colitis in mice. Implications arise that Schisandra lignans could serve as lead compounds for drug development aimed at inflammatory bowel disease.

Phellodendri Chinensis Cortex (PCC) featured with thick cortex and bright-yellow is considered to be of high quality according to traditional appearance traits evaluation mode. However, the correlation between appearance traits and internal quality of PCC has not been scientifically revealed. Here, based on the theory of "Quality Evaluation Through Morphological Identification", the correlation of both sides was studied systematically. Firstly, the thickness of PCC slices was measured by vernier calipers for classification, and the colour of PCC slice was estimated by naked eyes and automatic colorimeter and classified. Secondly, high performance liquid chromatography (HPLC) was used to establish fingerprint chromatogram containing 12 characteristic peaks, and the contents of moisture and ethanolic extractive were determined as well. The correlation among the appearance traits of PCC slice (including the thickness and the spatial values of colour of PCC slice powder: L*Lightness, a*Red-Green, b*Yellow-Blue) and peak areas of 12 characteristic peaks, contents of moisture and extractive were explored through multivariate statistical analysis tools, including Pearson's correlation analysis, principal component analysis (PCA), orthogonal partial least squares-discriminant analysis (PLS-DA) and analysis of variance (ANOVA). Association analysis results showed the morphological parameters (thickness and color) are significantly correlated with 2 kinds of principle chemical constituents (alkaloids and phenolic acids), among them, 5 major constituents including 2 isoquinoline alkaloids and 3 feruloylquinic acids were simultaneously quantitatively analyzed under the same chromatographic condition for establishing a correspondence between appearance traits and content of internal substances, and the sum of the contents of the five components was significantly higher in the thickness ≥ 4 mm (13.15% ± 2.25%) and bright yellow samples (12.14% ± 2.00%) than that in the thickness < 4 mm (10.89% ± 1.41%) and dark yellow samples (10.32% ± 2.41%). The research results confirm that thickness and colour, two main appearance parameters of PCC slice, can be used as the indicators for evaluating the quality PCC slice, which to some extent interprets the scientific connotation of traditional evaluation theory of "thick and yellow are better". At the same time, the results provided substantial data and foundation for the establishment of commodity grade standards of PCC slice.

OBJECTIVE To establish a GC-MS/MS analytical method for the determination of 1-chloroethyl cyclohexyl carbonate in candesartan cilexetil tablets. METHODS The analytical column was DB-5MS(30 m×0.25 mm, 0.25 μm). The column temperature was maintained at 80 ℃, then was raised to 300 ℃ at the rate of 20 ℃·min–1 and was maintained for 5 min. Helium was used as carrier gas, and its flow rate was 1.0 mL·min–1. The detection was achieved in multiple reaction monitoring mode. RESULTS The calibration curve of 1-chloroethyl cyclohexyl carbonate had good linearity in the concentration range of 4.4−437.8 ng·mL–1. The limits of quantification and detection were 4.4 and 2.2 ng·mL–1, respectively. The average recovery was 95.6%(RSD=6.3%, n=9). CONCLUSION This method has satisfactory convenience, good sensitivity and high accuracy, and it is suitable for the determination of 1-chloroethyl cyclohexyl carbonate in candesartan cilexetil tablets.

Traumatic supraorbital fissure syndrome (TSOFS) is a symptom complex caused by nerve entrapment in the supraorbital fissure after skull base trauma. If the compressed cranial nerve in the supraorbital fissure is not decompressed surgically, ptosis, diplopia and eye movement disorder may exist for a long time and seriously affect the patients′ quality of life. Since its overall incidence is not high, it is not familiarized with the majority of neurosurgeons and some TSOFS may be complicated with skull base vascular injury. If the supraorbital fissure surgery is performed without treatment of vascular injury, it may cause massive hemorrhage, and disability and even life-threatening in severe cases. At present, there is no consensus or guideline on the diagnosis and treatment of TSOFS that can be referred to both domestically and internationally. To improve the understanding of TSOFS among clinical physicians and establish standardized diagnosis and treatment plans, the Skull Base Trauma Group of the Neurorepair Professional Committee of the Chinese Medical Doctor Association, Neurotrauma Group of the Neurosurgery Branch of the Chinese Medical Association, Neurotrauma Group of the Traumatology Branch of the Chinese Medical Association, and Editorial Committee of Chinese Journal of Trauma organized relevant experts to formulate Chinese expert consensus on the diagnosis and treatment of traumatic supraorbital fissure syndrome ( version 2024) based on evidence of evidence-based medicine and clinical experience of diagnosis and treatment. This consensus puts forward 12 recommendations on the diagnosis, classification, treatment, efficacy evaluation and follow-up of TSOFS, aiming to provide references for neurosurgeons from hospitals of all levels to standardize the diagnosis and treatment of TSOFS.

Glechomae Herba, the dried aerial part of Glechoma longituba(Labiatae), has the effects of promoting urination, draining dampness, and relieving stranguria. It has received wide attention in recent years owing to the satisfactory efficacy on lithiasis. Amid the in-depth chemical and pharmacological research, it has been found that Glechomae Herba has antibacterial, anti-inflammatory, antioxidant, antithrombotic, hepatoprotective, cholagogic, antitumor, hypoglycemic, and lipid-lowering effects. The main chemical constituents are volatile oils, flavonoids, terpenoids, phenylpropanoids, and organic acids. This paper summarized the chemical constituents and pharmacological effects of Glechomae Herba. Based on genetic relationship of plants, the characteristics, efficacy, and pharmacokinetics of the chemical constituents, and the potential of these constituents as quality markers(Q-markers), it was summed up that ursolic acid, caffeic acid, rosmarinic acid, luteolin-7-O-diglucuronide, apigenin, apigenin-7-O-diglucuronide, apigetrin, and glechone can be the candidate Q-markers of Glechomae Herba.
Apigenin ; Plant Extracts/pharmacology* ; Lamiaceae ; Drugs, Chinese Herbal/pharmacology* ; Flavonoids/pharmacology*

Sophorae Flavescentis Radix is the dried root of Sophora flavescens Ait. and Sophorae Tonkinensis Radix et Rhizoma is the dried root and rhizome of Sophora tonkinensis Gagnep. The two drugs are both from the same genus Sophora, having similar and different compositions and efficacies, however, their differences are not fully demonstrated in current standard. In this study, the high-performance thin-layer chromatography with multi-dimensional and multi-level features combined with electric spray mass spectrometry (HPTLC-ESI-MS) was used to discover and identify the characteristic zones in extracts of Sophorae Flavescentis Radix and Sophorae Tonkinensis Radix et Rhizoma, after optimizing the preparation method of the test solution and chromatographic parameters. As a result, 17 main characteristic zones were found on HPTLC chromatograms of Sophorae Flavescentis Radix and Sophorae Tonkinensis Radix et Rhizoma, among them, besides 3 known chemicals, another 12 unknown components were identified by HPTLC-ESI-MS, they are 1 alkaloid and 11 flavonoids. The identification results were verified by the reference standards partially and nuclear magnetic resonance spectra after guided-isolation. Finally, a unified HPTLC specific identification method with different markers was established to identify Sophorae Flavescentis Radix and Sophorae Tonkinensis Radix et Rhizoma simultaneously. Thanks to abundant chemical information provided when using diverse polarity mobile phases and derivatization reagents, the HPTLC technology offers a convenient strategy for discovery, quality evaluation, and identification of target chemicals when connecting with mass spectrometry.

Objective:To investigate the application value of CT and MRI imageomics based on machine learning method in the diagnosis of pancreatic cancer.Methods:The clinical data of 62 patients with surgically resected and pathologically confirmed pancreatic cancer, who underwent enhanced CT scan, MRI plain or enhanced scan in Shanghai General Hospital between January 2014 and December 2021 were collected. According to the chronological order of surgery, 49 patients from January 2014 to December 2020 were enrolled in the training set and 13 patients from January 2021 to December 2021 were enrolled in the validation set. 3D-slicer 4.8.1 software was used to draw the region of interest in each layer of CT and MRI images for cancerous and paracancerous tissue segment. Image features were extracted by Python and the optimal feature set from the training set data was obtained by using Lasso regression model. The machine learning decision tree model was constructed. The receiver operating characteristic curve(ROC) curve was drawn, and the area under the curve (AUC) was calculated to evaluate the value of these three kinds of imageomics models in the diagnosis of pancreatic cancer.Results:The 1 767 CT features and 1 674 MRI features were obtained from enhanced CT scan, MRI plain scan and enhanced MRI scan, respectively. For the differential diagnosis model of cancerous tissue and paracancerous tissue, the enhanced CT scan data model obtained the optimal feature set involving 6 features, the MRI plain scan model obtained the optimal feature set involving 16 features, and the enhanced MRI scan model obtained the optimal feature set involving 15 features. The diagnostic model based on enhanced CT scan had an AUC of 0.98 in the training set and 1 in the verification group. The AUC of the MRI plain scan and enhanced MRI scan models in both the training set and the validation set was 1. The specificity and sensitivity of machine learning decision tree model based on the three kinds of imageomics models in the diagnosis of cancerous tissue and paracancerous tissue were 100%. For the differential diagnosis model of splenic artery wrapping, the enhanced CT scan model didn′t obtain the optimal features and had no diagnostic efficacy. The MRI plain scan model and enhanced MRI scan model obtained the optimal feature set involving 5 and 4 features, respectively. The AUC of the MRI plain scan model in the training set and the validation set were 0.862 and 0.750, respectively, with diagnostic sensitivity of 93.8% and 50.0%, and specificity of 78.6% and 100%, respectively. The AUC of the enhanced MRI scan model in the training set and the validation set were 0.950 and 0.861, respectively, with diagnostic sensitivity of 90.0% and 93.6%, and specificity of 100% and 78.6%, respectively.Conclusions:Based on the radiomics of CT enhanced, MRI plain scan and enhanced MRI scan, the machine learning diagnostic model has an accuracy of more than 90% in differentiating pancreatic cancer from paracancerous tissue. For the differentiation of splenic artery wrapping in pancreatic cancer, the diagnostic model based on enhanced MRI scan haS the best diagnostic efficiency.