As a commonly used traditional Chinese medicine in clinical practice， Tripterygium wilfordii has the functions of dispelling wind and removing dampness， detoxicating and destroying parasites， detumescence， pain relief， promoting blood circulation， and dredging collateral. Modern pharmacological studies show that it also has other functions such as anticancer， anti-inflammation， and immunosuppression. It has been widely used to treat autoimmune diseases， renal diseases， and tumors. T. wilfordii contains a variety of chemical components， among which triptolide （TP） can cause varying degrees of damage to human digestive， circulatory， reproductive， and other systems， with liver injury being the most common one， which greatly limits the development of TP in new drug research and industrial application. Therefore， the authors focused on the research hotspot of TP-induced liver injury and summarized relevant Chinese and international literature regarding the clinical manifestations， injury mechanisms， and detoxification strategies of TP-induced liver injury. This helps to provide a scientific basis for the clinical drug safety and scientific drug supervision of TP. The clinical manifestations of TP-induced liver injury are mostly abnormal transaminases， loss of appetite， nausea and vomiting， anorexia， yellow staining of skin and sclera， and yellow urine. The mechanisms of the above clinical manifestations involve apoptosis， oxidative stress， influence on cytochrome P450 superfamily， macrophage polarization， regulation of biological clock gene Clock， etc. Among them， cell apoptosis is related to neurogenic locus notch homolog protein 1 （Notch1）， dynamin-related protein 1 （Drp1）-cytochrome C （Cyt C）， phosphatidylinositide 3-kinases （PI3K）/protein kinase B （Akt）， mitogen-activated protein kinase （MAPK）， tumor suppressor protein 53 （p53）， Fas cell surface death receptor （Fas）/Caspase-8， and other signaling pathways. Oxidative stress is related to inhibition of nuclear factor-erythroid 2-related factor 2 （NRF2） signaling pathway， promotion of cytochrome P450 2E1 （CYP2E1） expression， and excessive accumulation of reactive oxygen （ROS）. The influence of the cytochrome P450 superfamily is manifested as reducing the substrate affinity， activity， and expression of cytochrome P450 3A （CYP3A）， cytochrome P450 2C9 （CYP2C9）， cytochrome P450 2C19 （CYP2C19）， and cytochrome P450 1A2 （CYP1A2）. Promoting the transformation of macrophages into the M1 type is related to the secretion of inflammatory factors and the accumulation of endotoxin， and the internal rhythmic regulation of the biological clock gene Clock， is related to the expression of cytochrome P450 3A11 （CYP3A11） metabolic enzyme. The detoxification strategies in the clinical application include herbs-processing detoxification strategy and drug-pairing detoxification. The traditional Chinese medicines and monomers that are helpful for detoxification include Glycyrrhiza uralensis， Paeonia lactiflora， Lysimachia christinae， Rehmannia glutinosa， saffron， and paeoniflorin. The reviews and discussion about these topics can help to provide more references for related research and clinical application of TP.

"MS/MS spectrum to structure"plays a critical role in the confirmative identification of complicated matrices and is currently regarded as an extremely challenging endeavor.MS/MS information provides vital clues to structural identification.In this study,a strategy was proposed to facilitate unambiguous identification through matching MS3 with MS2 spectra.Initially,MS3 spectra of the featured ions(c-and y-type ions)generated by the decomposition of ester functional group in esters and the MS2 spectrum of the structural unit([M-H]-)were all captured on the Qtrap-MS platform equipped with two tandem-in-space collision cells,including the second quadrupole cell(q2)and linear ion trap(LIT)chambers(actually the third quadrupole unit).Subsequently,the MS/MS spectrum matching between MS3 spectra of the ester compound and MS2 spectra of the structural unit(s)were achieved.As a result,the findings corresponding to MS3 and MS2 spectra matching were summarized.Finally,based on HR-MS/MS information of total salvianolic acid derivatives(TSA),36 kinds of compounds were preliminarily identified through matching with literature information and database retrieval.The applicability of MS3 and MS2 spectra matching strategy was further justified by the confirmative identification of phenolic acid compounds(Rosmarinic acid and salvianolic acid B)in TSA.Above all,MS3 and MS2 spectra matching strategy was quite meaningful towards advancing"MS/MS spectrum to structure"analysis through recognizing and identifying featured fragment ions,and also provided inspiration and new insights for the structural characterization.

Objective To explore the expression and clinical significance of autophagy related proteins Beclin-1,microtubule-associated protein 1 light chain 3(LC3)in placenta tissues of pregnant women with fetal growth restric-tion(FGR).Methods A total of 40 pregnant women undergoing delivery due to FGR and 40 pregnant women un-dergoing normal delivery in the Second Affiliated Hospital of Zhengzhou University were enrolled as FGR group and healthy group between August 2022 and August 2023.The general clinical data in the two groups were collected.The levels of Beclin-1 and LC3 mRNA in placenta tissues were detected by PCR,and expressions of Beclin-1 and LC3 proteins were detected by immunohistochemistry.The differences in positive of Beclin-1 and LC3 proteins among patients with different clinical data were analyzed.Results The placental thickness,placental mass and neonatal weight in FGR group were lower than those in healthy group(P＜0.05).The mRNA levels of Beclin-1 and LC3 in FGR group were higher than those in healthy group(P＜0.05)and positive expression rates of Beclin-1 and LC3 proteins were significantly higher than those in healthy group(P＜0.05).There was significant difference in positive expression profile of Beclin-1 and LC3 proteins among patients with different placental thickness,placental mass and neonatal weight(P＜0.05).Conclusions The positive expressions of autophagy genes(Beclin-1 and LC3)are related to FGR,and their specific expression levels are closely related to fetal growth and development.

Glioma is the most common malignancy of the central nervous system, originating mainly from glial cells. Because of its highly aggressive nature, glioma has one of the highest rates of death among all types of cancer. Therefore, it is very important to develop new therapeutic approaches and drugs for glioma treatment. Instead of activate the telomerase, approximately 30% of glioma use alternative lenthening of telomere (ALT) to maintain telomere length. The mechanism of ALT development is poorly understood, however, some genetic mutations have been reported to induce the development of ALT glioma, such as ATRX, IDH1, p53, etc. The lack of ALT glioma cell lines and preclinical ALT glioma models has limited the mechanistic studies of ALT glioma. Therefore, this review listed ALT glioma cell lines that derived from primary culture or gene editing in the last decade, as well as the xenografted animal models established by ALT glioma cell lines, and discussed the role and significance these cell and animal models play in preclinical studies.

Objective To explore the improve mechanism of ultra-filtration extract from Angelica Sinensis Radix and Hedysari Radix on kidney injury in diabetic kidney disease(DKD)rats.Methods The diabetes model was prepared by intraperitoneal injection of streptozotocin,and then fed with high sugar and high fat diet.The rats with successful DKD were randomly divided into model group,positive control group and experimental-L,-M,-H groups with 8 cases per group.Additionally,selected 8 Wistar rats as the blank group.The experimental-L,-M,-H groups were given 1.5,3.0 and 6.0 g·kg-1 ultra-filtration extract from Angelica Sinensis Radix and Hedysari Radix by gavage,respectively.The positive control group was given 1.75 × 10-3 g·kg-1irbesartan suspension by gavage.The blank and model groups were given equal volume of pure water by gavage.Six groups were administrated once a day for 12 consecutive weeks.The 24 h-urinary total protein were detected by coomassie brilliant blue method.The protein expression levels of nuclear factor erythroid 2-related factor 2(Nrf2),heme oxygenase-1(HO-1)and andacyl-CoA synthetase long chain family member 4(ACSL4)in kidney tissue were detected by Western blot.Results The 24 h-UTP in the experimental-M,-H groups,positive control group,model group and blank group were(47.70±3.85),(43.57±6.38),(36.80±6.52),(64.34±13.38)and(7.58±3.71)mg;the relative expression levels of Nrf2 protein were 0.86±0.08,0.75±0.06,0.64±0.08,1.09±0.06 and 0.60±0.07;the relative expression levels of HO-1 protein were 0.77±0.04,0.63±0.07,0.47±0.05,1.04±0.06 and 0.34±0.07;the relative expression levels of ACSL4 protein were 0.62±0.07,0.55±0.07,0.46±0.06,1.08±0.07 and 0.30±0.01,respectively.Compared with the model group,the above indexes in the experimental-M,-H groups and positive control group were significantly different(P＜0.05,P＜0.01).Conclusion Ultra-filtration extract from Angelica Sinensis Radix and Hedysari Radix can improve the damage of kidney tissue in DKD rats,and the mechanism may be related to ferroptosis caused by excessive activation of Nrf2/HO-1 signaling pathway.

Objective:To describe the distribution of lipoprotein (a) [Lp(a)] levels in non-arteriosclerotic cardiovascular disease (ASCVD) population in China and explore its influencing factors.Methods:This study was based on a nested case-control study in the CKB study measured plasma biomarkers. Lp(a) levels was measured using a polyclonal antibody-based turbidimetric assay certified by the reference laboratory and ≥75.0 nmol/L defined as high Lp(a). Multiple logistic regression model was used to examine the factors related to Lp(a) levels.Results:Among the 5 870 non-ASCVD population included in the analysis, Lp(a) levels showed a right-skewed distribution, with a M ( Q1, Q3) of 17.5 (8.8, 43.5) nmol/L. The multiple logistic regression analysis found that female was associated with high Lp(a) ( OR=1.23, 95% CI: 1.05-1.43). The risk of increased Lp(a) levels in subjects with abdominal obesity was significantly reduced ( OR=0.68, 95% CI: 0.52-0.89). As TC, LDL-C, apolipoprotein A1(Apo A1), and apolipoprotein B(Apo B) levels increased, the risk of high Lp(a) increased, with OR (95% CI) for each elevated group was 2.40 (1.76-3.24), 2.68 (1.36-4.93), 1.29 (1.03-1.61), and 1.65 (1.27-2.13), respectively. The risk of high Lp(a) was reduced in the HDL-C lowering group with an OR (95% CI) of 0.76 (0.61-0.94). In contrast, an increase in TG levels and the ratio of Apo A1/Apo B(Apo A1/B) was negatively correlated with the risk of high Lp(a), with OR (95% CI) of 0.73 (0.60-0.89) for elevated triglyceride group, and OR (95% CI) of 0.60 (0.50-0.72) for the Apo A1/B ratio increase group (linear trend test P≤0.001 except for Apo A1). However, no correlation was found between Lp(a) levels and lifestyle factors such as diet, smoking, and physical activity. Conclusions:Lp(a) levels were associated with sex and abdominal obesity, but less with lifestyle behaviors.

【Objective】 To compare the killing effects of different concentrations of gentamicin (0, 10, 20, 50, 100, and 200 μg/mL) on uropathogenic Escherichia coli (UPEC) and its cytotoxicities on urinary urothelial cells and inflammatory cells such as macrophages in vitro. 【Methods】 The killing effects of different concentrations of gentamicin on different amounts (10⁸, 10⁷, and 10⁶) of UPEC strain J96 were compared. The cytotoxicities of different concentrations of gentamicin on primary cultured male C57BL/6 mouse renal tubular epithelial cells, mouse macrophages and human bladder epithelial cell line J82 at different time points (2 h and 24 h) were detected by CCK-8 assay. According to the experiments above, we chose appropriate gentamicin concentrations and incubation time in in vitro cell culture experiments to verify J96 adhesion and invasion to mouse renal tubular epithelial cells or phagocytosis and clearance of J96 by mouse macrophages. 【Results】 The killing effect of gentamicin (≥10 μg/mL) on J96 was stronger than that of 1% P/S (P<0.000 1). High concentrations of gentamicin (≥100 μg/mL) could kill up to 10⁸ J96 within 30 min. 50 μg/mL gentamincin treatment for 2 h was cytotoxic for human bladder epithelial cell line J82 (P<0.05). 【Conclusion】 The appropriate concentration and duration of gentamicin treatment for different cells in vitro were determined. Urothelial cells, especially human bladder epithelial cell line J82, were more sensitive to gentamicin.

Objective To investigate the risk factors of periprosthetic femoral fracture(PFF)after total knee arthroplasty(TKA)in the elderly and to construct a predictive model for the prevention of PFF after clinical operation.Methods The clinical data of 537 elderly patients who underwent TKA in the orthopedic department of the First Affiliated Hospital of Air Medical University from October 2016 to October 2021 were retrospectively analyzed.The occurrence of PFF during the follow-up period was statistically analyzed and the clinical data were collected.Binary Logistic regression was used to analyze the risk factors of PFF after TKA in the elderly,and a predictive model of PFF after TKA in the elderly was constructed based on the risk factors.Receiver operating characteristic(ROC)curve and Hosmer-Lemeshow(H-L)were used to test the discrimination and calibration of prediction model.Results The patients were followed up for 12 to 72 months after discharge,with a median time of 47 months.During the follow-up period,31 patients(5.77%)developed PFF.Age,osteoporosis,Parkinson's disease and anterior femoral notch(AFN)were the risk factors for PFF after TKA in the elderly(P<0.05),and cross fixation of prosthesis and bone cement fixation were the protective factors(P<0.05).The results of H-L test showed that the risk prediction model of PFF after TKA in the elderly had good calibration(P>0.05).ROC curve analysis showed that the risk prediction model of PFF after TKA in the elderly has high discrimination(area under the curve was 0.858,95%CI:0.826 to 0.887),the sensitivity was 83.87%,the specificity was 88.34%.Conclusion The risk of PFF after TKA in the elderly is high,and prevention should be carried out according to the high risk factors.The prediction model constructed based on the high risk factors has good prediction efficiency.

Objective:To investigate the correlation between serum growth differentiation factor 11 (GDF11) level and coronary artery lesions in patients with ST-segment elevation myocardial infarction (STEMI), and the predictive efficacy of nomogram risk prediction model based on GDF11 combined with traditional risk factors on the occurrence of STEMI.Methods:This study was a retrospective cross-sectional study. Patients hospitalized in the Department of Cardiology of the 904th Hospital of Joint Logistic Support Force of People′s Liberation Army of China from 2016 to 2018 were selected and divided into control group and STEMI group. The demographic data, blood lipid level, laboratory indicators of blood and GDF11 level were collected. Logistic regression analysis screened out independent correlated factors for the occurrence of STEMI. Spearman correlation analysis clarified the correlation of each indicator with the SYNTAX or Gensini scores. A nomogram risk prediction model for the risk of STEMI occurrence and the receiver operating characteristic curve was used to compare the prediction efficiency of each model.Results:A total of 367 patients were enrolled, divided into control group ( n=172) and STEMI group ( n=195), age (66.5±11.8), male 222 (60.49%). The serum GDF11 level of STEMI group was significantly lower than that of the control group (36.20 (16.60, 70.75) μg/L vs. 85.00 (53.93, 117.10) μg/L, P<0.001). The results of multivariate logistic regression analysis showed serum GDF11( OR=0.98, 95% CI: 0.97-0.99) and traditional independent risk factors such as smoking, diabetes, C-reactive protein, homocysteine, lipoprotein (a) and apolipoprotein A1/B were independent correlate factors for the occurrence of STEMI ( P<0.05). Spearman correlation analysis showed that serum GDF11 was negatively correlated with SYNTAX score and Gensini score ( P<0.05). The nomogram model constructed by serum GDF11 combined with traditional independent risk factors (AUC=0.85, 95% CI: 0.81-0.89) had better predictive value for the occurrence of STEMI than the traditional nomogram model constructed by independent risk factors(AUC=0.80, 95% CI:0.75-0.84) or serum GDF11 (AUC=0.76, 95% CI: 0.72-0.81), all P<0.01. Conclusions:Serum GDF11 is an independent correlate factor in the occurrence of STEMI and is negatively correlated with the severity of coronary artery lesions in patients with STEMI. The nomogram model constructed based on GDF11 combined with traditional risk factors can be a good predictor for the occurrence of STEMI.

Exploring the action targets (groups) of traditional Chinese medicine (TCM) is an important proposition to promote the innovation and development of TCM, but it has attracted a lot of attention as to whether it is related to the efficacy or the disease. Our team found that the metabolomic signature molecules in the development of diabetes mellitus (DM) were significantly associated with the clinical efficacy of Yuquan Pill through a large clinical sample study. Taking this as a clue, our team intends to expand the information on the omics features of DM development, and discover the key targets (groups) and their lead compounds for the hypoglycemic effect of Yuquan Pill. The project includes: ① Based on the retrospective clinical trials, using omics technology integrated with generative artificial intelligence, mining the characteristic information of proteome and microbiome, forming driving factors together with metabolome characteristic molecules, and characterizing the molecular trajectories of diabetes evolution and their interference by Yuquan Pill; ② Taking the evolving molecular trajectories as a link and pointer, using anthropomorphic modeling and molecular biology techniques such as chemical proteomics to discover the key targets (groups) of Yuquan Pill's hypoglycemic effect, with the prospective clinical samples for validation; ③ Evaluate the overall response of key targets (groups) using graph neural network technology, and search for drug-derived/endogenous lead compounds with proven clinical pathologies and clear mechanisms of action, so as to provide a new paradigm and technology for the discovery of complex active ingredient targets (groups) of TCM that are related to their clinical efficacy, as well as for the discovery of innovative medicines.