To explore the mechanism of spleen- were obtained for the treatment of acute-on-chronic livstrengthening and moisture-nourishing liver prescription er failure, and 244 intersecting target genes and 7 core (JPLSYGF) in the treatment of acute-on-chronic liver target genes were screened. Molecular docking showed failure using network pharmacology and the molecular that the core target genes AKT1, SRC, VEGFA, docking. Methods Relying on TCMSP and Gene- STAT3 , EGFR, MAPK3 , HRAS had good affinity with Cards and other databases, the relevant targets of JPL- quercetin, the main active component in the JPLSYGF in the treatment of acute-on-chronic liver failure SYGF, and had strong binding activity. In addition, in were obtained. String and Cytoscape were used to con- vivo tests verified that the JPLSYGF could reduce the struct PPI networks of targets, core targets were expression of HRAS, EGFR, STAT3 , SRC, and VEGscreened out, and DAVID was used for GO function FA, to delay the progression of acute-on-chronic liver annotation and KEGG pathway enrichment analysis. failure. Conclusions JPLSYGF may act on core tar- The main active ingredients of the traditional Chinese gets such as HRAS, EGFR, STAT3, SRC, VEGFA medicine compound formula for JPLSYGF were select- and so on, to achieve the effect of treating acute-oned with a bioavailability OB value of =Э 30% and a chronic liver failure. drug-like DL^O. 18 as the screening conditions, and.

Objective To construct a machine learning prediction model for postoperative liver injury in patients with non-liver surgery based on preoperative and intraoperative medication indicators.Methods A case-control study was conducted on 315 patients with liver injury after non-liver surgery selected from the databases developed by 3 large general hospitals from January 2014 to September 2022.With the positive/negative ratio of 1 ∶3,928 cases in corresponding period with non-liver surgery and without liver injury were randomly matched as negative control cases.These 1243 patients were randomly divided into the modeling group(n=869)and the validation group(n=374)in a ratio of 7∶3 using the R language setting code.Preoperative clinical indicators(basic information,medical history,relevant scale score,surgical information and results of laboratory tests)and intraoperative medication were used to construct the prediction model for liver injury after non-liver surgery based on 4 machine learning algorithms,k-nearest neighbor(KNN),support vector machine linear(SVM),logic regression(LR)and extreme gradient boosting(XGBoost).In the validation group,receiver operating characteristic(ROC)curve,precision-recall curve(P-R),decision curve analysis(DCA)curve,Kappa value,sensitivity,specificity,Brier score,and F1 score were applied to evaluate the efficacy of model.Results The model established by 4 machine learning algorithms to predict postoperative liver injury after non-liver surgery was optimal using the XGBoost algorithm.The area under the receiver operating characteristic curve(AUROC)was 0.916(95%CI:0.883～0.949),area under the precision-recall curve(AUPRC)was 0.841,Brier score was 0.097,and sensitivity and specificity was 78.95%and 87.10%,respectively.Conclusion The postoperative liver injury prediction model for non-liver surgery based on the XGBoost algorithm has effective prediction for the occurrence of postoperative liver injury.

Objective To make an epidemiological investigation on traditional Chinese medicine(TCM)dampness syndrome manifestations in the population at risk of cerebrovascular diseases in Guangdong area.Methods A cross-sectional study was conducted to analyze the clinical data related to the risk of cerebrovascular diseases in 330 Guangdong permanent residents.The diagnosis of dampness syndrome,quantitative scoring of dampness syndrome and rating of the risk of stroke were performed for the investigation of the distribution pattern of dampness syndrome and its influencing factors.Results(1)A total of 306(92.73%)study subjects were diagnosed as dampness syndrome.The percentage of dampness syndrome in the risk group was 93.82%(258/275),which was slightly higher than that of the healthy group(48/55,87.27%),but the difference was not statistically significant(χ2 = 2.91,P = 0.112).The quantitative score of dampness syndrome in the risk group was higher than that of the healthy group,and the difference was statistically significance(Z =-2.24,P = 0.025).(2)Among the study subjects at risk of cerebrovascular disease,evaluation time(χ2 = 26.11,P = 0.001),stroke risk grading(χ2= 8.85,P = 0.031),and history of stroke or transient ischemic attack(TIA)(χ2 = 9.28,P = 0.015)were the factors influencing the grading of dampness syndrome in the population at risk of cerebrovascular disease.Conclusion Dampness syndrome is the common TCM syndrome in the population of Guangdong area.The manifestations of dampness syndrome are more obvious in the population with risk factors of cerebrovascular disease,especially in the population at high risk of stroke,and in the population with a history of stroke or TIA.The assessment and intervention of dampness syndrome should be taken into account for future project of stroke prevention in Guangdong.

Objective To screen the optimal regimen of Chinese medicine combined with hormones for the treatment of premature ovarian failure(POF)using network meta-analysis and to provide an evidence-based basis for the clinical treatment of POF.Methods The randomized controlled trials(RCTs)of Chinese medicine combined with hormones in the treatment of POF were retrieved from thhe domestic and oversea databases of CNKI,VIP,Wanfang,CBM,PubMed,Cochrane,Embase,and Web of Science.The quality of the literature was assessed using the tools for analysis of bias recommended by Cochrane Reviewer's Handbook and by Jadad scale scores.Rstudio and StataSE 15.1 statistical software were used to perform network meta-analysis and graphical presentation of the data.Results A total of 50 RCTs were included,covering 8 intervention methods.The overall risk of bias of the included studies was low,but the quality of the literature was generally low.The results of network meta-analysis showed that,in terms of the effective rate,the intervetion of 7 various Chinese medicines combined with hormone was superior to the conventional treatment(hormone replacement therapy,HRT)in the control group,and Nuangong Qiwei Powder+HRT was superior to the remaining 6 kinds of Chinese medicines combined with HRT;with reference to the values of the surface under the cumulative ranking curve(SUCRA),the efficiencies of the effective rate of the 8 intervention methods in descending order were Nuangong Qiwei Powder+ HRT(SUCRA=81.2),Zishen Yutai Pills + HRT(SUCRA=80.0),modified Zuogui Pills + HRT(SUCRA= 66.1),Ankun Zhongzi Pills + HRT(SUCRA=49.6),Kuntai Capsules + HRT(SUCRA=45.2),modified Erxian Decoction + HRT(SUCRA=39.5),Liuwei Dihuang Pills + HRT(SUCRA=37.4)and HRT(SUCRA=1.0).In terms of improving serum follicle-stimulating hormone(FSH)levels,modified Zuogui Pills + HRT was superior to the remaining 7 intervention methods;with reference to the values of the SUCRA,the efficiencies of the 8 intervention methods in descending order were modified Zuogui Pills + HRT(SUCRA=97.0),HRT(SUCRA= 77.9),Liuwei Dihuang Pills + HRT(SUCRA=76.6),Kuntai Capsules + HRT(SUCRA=46.5),Nuangong Qiwei Powder+HRT(SUCRA=38.9),Ankun Zhongzi Pills + HRT(SUCRA=29.9),modified Erxian Decoction + HRT(SUCRA=18.1),and Zishen Yutai Pills + HRT(SUCRA=15.1).Conclusion All kinds of Chinese medicines combined with HRT exert stronger effect on improving the primary outcome indicators than HRT alone for the treatment of POF.The intervention with Nuangong Qiwei Powder+HRT exerts the highest probability of the optimal regimen for enhancing the efficiency,and the intervention with Zuogui Pills + HRT exerts the highest probability of the optimal regimen for lowering the serum FSH level.However,due to the low quality of the included studies,more rigorously-designed,large sample-size,and high-quality randomized controlled trials need to be conducted in the future to provide conclusive evidence-based evidence.

Osteoporosis leads to an imbalance in bone remodelling, where bone resorption is greater than bone formation and osteoclast degradation increases, resulting in severe bone loss. Autophagy is a lysosomal degradation pathway that regulates the proliferation, differentiation, and apoptosis of various bone cells (including osteoblasts, osteoclasts, and osteoclasts), and is deeply involved in the bone remodelling process. In recent years, the role of autophagy in the progression of osteoporosis and related bone metabolic diseases has received more and more attention, and it has become a research hotspot in this field. Summarising the existing studies, it is found that senile osteoporosis is the result of a combination of factors. On the one hand, it is the imbalance of bone remodelling and the increase of bone resorption/bone formation ratio with ageing, which causes progressive bone loss. On the other hand, aging leads to a general decrease in the level of autophagy, a decrease in the activity of osteoblasts and osteoclasts, and an inhibition of osteogenic differentiation. The lack of oestrogen leads to the immune system being in a low activation state, and the antioxidant capacity is weakened and inflammatory response is increased, inducing autophagy-related proteins to participate in the transmission of inflammatory signals, excessive accumulation of reactive oxygen species (ROS) in the skeleton, and negatively regulating bone formation. In addition, with aging and the occurrence of related diseases, glucocorticoid treatments also mediate autophagy in bone tissue cells, contributing to the decline in bone strength. Exercise, as an effective means of combating osteoporosis, improves bone biomechanical properties and increases bone density. It has been found that exercise induces oxidative stress, energy imbalance, protein defolding and increased intracellular calcium ions in the organism, which in turn activates autophagy. In bone, exercise of different intensities activates messengers such as ROS, PI3K, and AMP. These messengers signal downstream cascades, which in turn induce autophagy to restore dynamic homeostasis in vivo. During exercise, increased production of AMP, PI3K, and ROS activate their downstream effectors, AMPK, Akt, and p38MAPK, respectively, and these molecules in turn lead to activation of the autophagy pathway. Activation of AMPK inhibits mTOR activity and phosphorylates ULK1 at different sites, inducing autophagy. AMPK and p38 up-regulate per-PGC-1α activity and activate transcription factors in the nucleus, resulting in increased autophagy and lysosomal genes. Together, they activate FoxOs, whose transcriptional activity controls cellular processes including autophagy and can act on autophagy key proteins, while FoxOs proteins are expressed in osteoblasts. Exercise also regulates the expression of mTORC1, FoxO1, and PGC-1 through the PI3K/Akt signalling pathway, which ultimately plays a role in the differentiation and proliferation of osteoblasts and regulates bone metabolism. In addition, BMPs signaling pathway and long chain non-coding RNAs also play a role in the proliferation and differentiation of osteoblasts and autophagy process under exercise stimulation. Therefore, exercise may become a new molecular regulatory mechanism to improve osteoporosis through the bone autophagy pathway, but the specific mechanism needs to be further investigated. How exercise affects bone autophagy and thus prevents and treats bone-related diseases will become a future research hotspot in the fields of biology, sports medicine and sports science, and it is believed that future studies will further reveal its mechanism and provide new theoretical basis and ideas.

ObjectiveTo analyse the clinical characteristics of different traditional Chinese medicine （TCM） syndromes in patients with heart failure based on information from electronic medical record. MethodsA cross-sectional study was conducted to collect clinical data of all inpatients with heart failure in the Department of Cardiology， Affiliated Hospital of Liaoning University of Traditional Chinese Medicine from January 1， 2019 to December 31， 2020. A database of clinical TCM data was established to explore the characteristics of clinical data of basic information， syndromes and syndrome element types， and biochemical indexes. The distribution of TCM syndromes and syndrome elements in heart failure patients were also analysed， and the basic information and biochemical indexes of the patients with top 7 different TCM syndrome types were compared. ResultsA total of 1676 inpatients with heart fai-lure were included. The top 7 TCM syndromes of heart failure were syndrome of phlegm turbidity and blood stasis （477 cases， 28.46%）， syndrome of qi deficiency and blood stasis （439 cases， 26.19%）， syndrome of qi deficiency and blood stasis with water retention （274 cases， 16.35%）， syndrome of yang deficiency with water retention （145 cases， 8.65%）， syndrome of qi and yin deficiency （104 cases， 6.21%）， syndrome of qi and yin deficiency with blood stasis （80 cases， 4.77%）， syndrome of heart yang deficiency （59 cases， 3.52%）. Among the 1676 patients， 6 syndrome elements accounted for more than 5%. Blood stasis accounted for the highest proportion of TCM syndrome element type （1292 cases， 77.09%）， followed by qi deficiency （919 cases， 54.83%）， phlegm （498 cases， 29.71%）， water retention （434 cases， 25.89%）， yang deficiency （215 cases， 12.82%） and yin deficiency （191 cases， 11.40%）. Among the 1676 patients， 1308 cases of acute heart failure mainly showed syndrome of phlegm turbidity and blood stasis （386 cases， 29.51%）， and 368 of chronic heart fai-lure mainly showed syndrome of qi deficiency and blood stasis （118 cases， 32.07%）. Patients with syndrome of phlegm turbidity and blood stasis had the shortest disease duration of 0.3 months， while those with syndrome of heart yang deficiency had the longest disease duration of 15 months. The proportion of syndrome of phlegm turbidity and blood stasis was the highest in patients with heart failure combined with coronary artery disease， the proportion of syndrome of qi deficiency and blood stasis with water retention was the highest in patients with heart failure combined with atrial fibrillation， and the proportion of patients with syndrome of qi deficiency and blood stasis with water retention and syndrome of yang deficiency with water retention in those applying diuretics during the hospital stay was the highest with more than 86%. The different 7 TCM syndromes showed statistically difference in patients with complications including coronary artery disease， old myocardial infarction， atrial fibrillation， pre and post-admission medication usage including intravenous vasodilators， cardiac stimulants， diuretics， and level of blood chloride， blood urea， blood creatinine， blood bicarbonate， blood albumin， and blood total bilirubin （P＜0.05）. ConclusionThe most common TCM syndromes in patients with heart failure are syndrome of phlegm turbidity and blood stasis and syndrome of qi deficiency and blood stasis. Different TCM syndromes have different characteristics in gender， disease complications， medication before and after admission， and blood indexes.

Anti-tumor traditional Chinese medicine has a long history of clinic application, in which the star molecules have always been the hotspot of modern drug research, but they are limited by the solubility, stability, targeting, bioactivity or toxicity of the monomer components of traditional Chinese medicine anti-tumor star molecules and other pharmacokinetic problems, which hinders the traditional Chinese medicine anti-tumor star molecules for further clinical translation and application. Currently, the nanosystems prepared by supramolecular technologies such as molecular self-assembly and nanomaterial encapsulation have broader application prospects in improving the anti-tumor effect of active components of traditional Chinese medicine, which has attracted extensive attention from scholars at home and abroad. In this paper, we systematically review the research progress in preparation of supramolecular nano-systems from anti-tumor star molecule of traditional Chinese medicine, and summarize the two major categories and ten small classes of carrier-free and carrier-based supramolecular nanosystems and their research cases, and the future development direction is put forward. The purpose of this paper is to provide reference for the research and clinical transformation of using supramolecular technology to improve the clinical application of anti-tumor star molecule of traditional Chinese medicine.

Seven triterpenoids were isolated and purified from the 95% aqueous EtOH extract whole plants of P. villosa by various chromatographic techniques, such as silica gel, ODS, Sephadex LH-20 gel column chromatography and preparative high performance liquid chromatography. Based on physicochemical properties and spectral analyses, the structures of the seven compounds were identified as 29-acetoxyoleanolic acid-3-O-α-L-arabinopyranoside (1), oleanolic acid (2), 3β-hydroxy-24-norursa-4(23),12,20(30)-trien-28-oic acid (3), 3β-hydroxy-24-nor-urs-4(23),12-dien-28-oic acid (4), ursolic acid (5), hederagenin (6), oleanolic acid 3-O-arabinoside (7). Compound 1 is a new compound. Compounds 3, 4, 6, and 7 are isolated from P. villosa for the first time. All compounds were assayed for their anti-inflammatory activity by the prodution of NO in lipopolysaccharide-stimulated RAW 264.7 cells. The results showed that compounds 1, 2, 3, 4, 6, and 7 significantly inhibited the NO release.

The adulteration and counterfeiting of herbal ingredients in medicinal and food homology (MFH) have a serious impact on the quality of herbal materials, thereby endangering human health. Compared to pharmaceutical drugs, health products derived from traditional Chinese medicine (TCM) are more easily accessible and closely integrated into consumers' daily life. However, the authentication of the authenticity of TCM ingredients in MFH has not received sufficient attention. The lack of clear standards emphasizes the necessity of conducting systematic research in this area. This study utilized DNA barcoding technology, combining ITS2, psbA-trnH, matK as universal barcode sequences, and DX, HH, JYH as specific barcode sequences, to identify the authenticity of commercial medicinal and food homology scented herbal teas. The aim was to investigate the authenticity of scented herbal tea products circulating in the market. The research results revealed that among 180 scented herbal tea samples, DNA barcodes were successfully obtained from 164 samples, while the remaining samples either lacked the target components or suffered severe DNA degradation, resulting in failed amplification. Combined with morphological identification studies, it was found that out of the 180 samples, 141 were authentic, accounting for 78.33% of the total samples, while 31 samples showed adulteration and 8 samples lacked the target components, accounting for 21.67% of the total samples. Additionally, water testing revealed that 5 samples of Carthamus tinctorius herbal tea exhibited the phenomenon of weight adulteration. This study exposed the presence of adulteration and weight adulteration in scented herbal tea products, highlighting the need for regulatory authorities to expedite the establishment of quality standards in scented herbal tea industry. These findings provide valuable insights for the rapid development of the scented herbal tea industry.

Currently,human health due to corona virus disease 2019(COVID-19)pandemic has been seriously threatened.The coronavirus severe acute respiratory syndrome coronavirus 2(SARS-CoV-2)spike(S)protein plays a crucial role in virus transmission and several S-based therapeutic approaches have been approved for the treatment of COVID-19.However,the efficacy is compromised by the SARS-CoV-2 evolvement and mutation.Here we report the SARS-CoV-2 S protein receptor-binding domain(RBD)inhibitor licorice-saponin A3(A3)could widely inhibit RBD of SARS-CoV-2 variants,including Beta,Delta,and Omicron BA.1,XBB and BQ1.1.Furthermore,A3 could potently inhibit SARS-CoV-2 Omicron virus in Vero E6 cells,with EC50 of 1.016 pM.The mechanism was related to binding with Y453 of RBD deter-mined by hydrogen-deuterium exchange mass spectrometry(HDX-MS)analysis combined with quan-tum mechanics/molecular mechanics(QM/MM)simulations.Interestingly,phosphoproteomics analysis and multi fluorescent immunohistochemistry(mIHC)respectively indicated that A3 also inhibits host inflammation by directly modulating the JNK and p38 mitogen-activated protein kinase(MAPK)path-ways and rebalancing the corresponding immune dysregulation.This work supports A3 as a promising broad-spectrum small molecule drug candidate for COVID-19.