Aim To explore the effect of kaempferol-7- 0-neohesperidoside (K70N) against prostate cancer (PCa) and the underlying mechanism. Methods The effect of K70N on the proliferation of PCa cell lines PC3, DU145, C4-2 and LNCaP was detected using CCK8 assay. The effect of K70N on migration ability of DU145 cells was determined by wound healing assay. The targets of K70N and PCa were screened from SuperPred and other databases. The common targets both related to K70N and PCa were obtained from the Venny online platform, a protein-protein interaction network (PPI) was constructed by the String and Cyto- scape. Meanwhile, the GO and KEGG functional enrichment were analyzed by David database. Then, a "drug-target-disease-pathway" network model was constructed. Cell cycle of PCa cells treated with K70N was analyzed by flow cytometry. The expressions of cycle-associated proteins including Skp2, p27 and p21 protein were detected by Western blot. Molecular docking between Skp2 and K70N was conducted by Sybyl X2. 0. Results K70N significantly inhibited the proliferation and migration of PCa cells. A total number of 34 drug-disease intersection targets were screened. The String results showed that Skp2 and p27, among the common targets, were the key targets of K70N for PCa treatment. Furthermore, GO and KEGG functional en-richment indicated that the mechanism was mainly related to the cell cycle. Flow cytometry showed that K70N treatment induced cell cycle arrest at the S phase. Compared with the control group, the protein expression level of Skp2 was significantly down-regulated, while the protein expression levels of p27 and p21 were up-regulated. The network molecular docking indicated that the ligand K70N had a good binding ability with the receptor Skp2. Conclusions K70N could inhibit the proliferation and migration of PCa cells, block the cell cycle in the S phase, which may be related to the regulation of cell cycle through the Skp2- p27/p21 signaling pathway.

Objective To study the activity of ten kinds of antipyretic-antidotal traditional Chinese medicine(TCM),including radix tinosporae.herb of blin conyza and turmeric,against extensively drug-resistant Acineto-bacter baumannii(XDR-AB)infection,screen out the extracts of antipyretic-antidotal TCM which have in vivo anti-infection activity,provide a research basis for the discovery of novel antimicrobials against XD-RAB infection.Methods Ten antipyretic-antidotal TCM were extracted with water,50％ethanol and 95％ethanol respectively,and TCM extracts with different concentrations were prepared,which were co-incubated with the model of XDR-AB-infected Caenorhabditis elegans previously optimized by the research group.The in vivo activity of antipyretic-antidotal TCM against XDR-AB infection was judged through the survival rate of Caenorhabditis elegans.Results With the increase of concentration of turmeric and cortex pseudolaricis extracts,the survival rate of XDR-AB-infec-ted nematodes continued to improve.The water extract,50％ethanol extract,and 95％ethanol extract of turmeric at a concentration of 1 000 μg/mL could increase the survival rates of XDR-AB-infected Caenorhabditis elegans to 54.2％(compared to the negative control group,P＜0.001),18.8％,and 13.3％,respectively.The water ex-tract,50％ethanol extract,and 95％ethanol extract of cortex pseudolaricis at a concentration of 1 000 μg/mL could increase the survival rates of XDR-AB-infected Caenorhabditis elegans to 47.4％(compared to the negative control group,P＜0.001),23.8％,and 15.8％,respectively.Conclusion The water extracts of turmeric and cortex pseudolaricis have good activity against XDR-AB infection,and their main chemical components can be tested for in vitro antimicrobial efficacy to discover novel antimicrobial agents against XDR-AB infection.

AIM To identify the chemical components of Longmu Qingxin Mixture by UPLC-Q-TOF-MS and study its material basis for the treatment of attention deficit hyperactivity disorder.METHODS The sample was detected by mass spectrometry in positive and negative ion mode on a Waters CORTECS? UPLC? T3 chromatographic column.The data were analyzed with Peakview 1.2 software and matched with the Natural Products HR-MS/MS Spectral Library 1.0 database,and the components were identified in combination with literature reports.The material basis of Longmu Qingxin Mixture for the treatment of attention deficit hyperactivity disorder was analysed according to the identified components.RESULTS Forty chemical components were identified,including 11 flavonoids,6 monoterpene glycosides,4 triterpene saponins,3 phenolic acids,6 alkaloids etc.,which mainly derived from Radix Astragali,Radix Paeoniae Alba,Radix Scutellariae,licorice root,Ramulus Uncariae cum,etc.,baicalein,formononetin,astragaloside Ⅳ and rhynchophylline may be the material basis for the therapeutic effect of Longmu Qingxin Mixture.CONCLUSION UPLC-Q-TOF-MS can quickly identify the chemical components of Longmu Qingxin Mixture.Flavonoids,triterpene saponins and alkaloids may be the material basis for Longmu Qingxin Mixture for the treatment of attention deficit hyperactivity disorder,which can provide the basis for its material basis research,quality standard establishment and pharmacological study of the dismantled formula.

OBJECTIVE To investigate the effect and mechanism of Astragalus polysaccharide （APS） on peritoneal fibrosis and angiogenesis in rats with peritoneal dialysis （PD）. METHODS Rats were randomly divided into normal control group （Control group）， model group （PD group）， 70 mg/kg APS group （APS-L group）， 140 mg/kg APS group （APS-H group）， and 140 mg/kg APS+40 mg/kg hypoxia-inducible factor-1α （HIF-1α） agonist DMOG group （APS-H+DMOG group）， with 12 rats in each group. PD rat models were constructed in the last four groups of rats. Administration groups were given APS intragastrically and DMOG intraperitoneally. Control group and PD group were given constant volume of normal saline intragastrically， once a day， for 4 consecutive weeks. After the last medication， the peritoneal ultrafiltration （UF）， mass transfer of glucose （MTG）， the levels of serum creatinine （Scr） and blood urea nitrogen （BUN） were detected in rats； peritoneal histomorphology and peritoneal fibrosis （peritoneal thickness and proportion of collagen fiber deposition） were observed； the microvascular density and the expression levels of α-smooth muscle actin （α-SMA）， laminin （LN）， HIF-1α and vascular endothelial growth factor （VEGF） proteins were detected in peritoneal tissue of rats. RESULTS Compared with Control group， the mesothelium of rats in the PD group was loosely arranged and shed， inflammatory cells infiltrated， the peritoneal thickness and proportion of collagen fiber deposition were increased significantly （P＜0.05）. The levels of MTG， Scr and BUN in serum， microvascular density and the expressions of α-SMA， LN， HIF-1α and VEGF proteins were significantly increased， while the level of UF was significantly decreased （P＜ 0.05）； compared with PD group， the levels of above indexes were significantly reversed in APS-L and APS-H groups （P＜0.05）， and the improvement of APS-H group was better than APS-L group （P＜0.05）. Compared with APS-H group， the levels of above indexes in APS-H+DMOG group were all reversed （P＜0.05）. CONCLUSIONS APS inhibits peritoneal fibrosis and angioge-nesis in PD rats by inhibiting HIF-1α/VEGF signaling pathway.

Human exhaled breath has great application prospects,e.g.,monitoring pharmacokinetics,disease diagnosis,due to its advantages such as non-invasive and high-frequency sampling.Breath samples can be collected from the oral and nasal cavity.However,the oral and nasal environment affect the chemical composition of breath sample.Therefore,the investigation on the chemical composition of mouth-exhaled breath and nose-exhaled breath is crucial for selection of appropriate sampling strategy for individual studies.In this work,secondary electrospray ionization-high resolution mass spectrometry(SESI-HRMS)was applied to analysis of respiratory metabolomics in real time.A quantitative analysis approach was established for 9 kinds of volatile organic compounds(VOCs)e.g.2-butanone,2-pentanone,ethyl acetate,methyl methacrylate,toluene,styrene,mesitylene,isoprene and limonene.The limit of detection was 2.3?240.8 ng/m3.The intra-day(n=6)and inter-day(n=18)relative standard deviations were 0.6%?4.6%and 4.3%?12.2%,respectively.Nine healthy subjects were recruited to investigate the chemical composition of mouth-exhaled and nose-exhaled breath.The results showed the good performance in quantitative analysis of 9 VOCs in breath air.It was found that the number of unique component(m/z)detected in mouth-exhaled breath(167)was 2.2 times greater than that detected in nose-exhaled breath(76),which might result from the complex environment in oral cavity.The signal intensity of commun component(163)was significantly different between mouth-exhaled breath and nose-exhaled breath.Additionally,the elemental composition analysis showed that the proportion of polar compounds detected in nose-exhaled breath was higher than that in mouth-exhaled breath.This study demonstrated that there was significant differences in the chemical composition between mouth-exhaled and nose-exhaled breath,which provided a theoretical basis for selection of exhalation mode.

OBJECTIVE To investigate the effect of pachymic acid （PA） on renal function and fibrosis in chronic renal failure （CRF） rats and its potential mechanism based on the Ras homolog gene family member A （RhoA）/Rho-associated coiled-coil forming protein kinase （ROCK） signaling pathway. METHODS Using male SD rats as subjects， the CRF model was established by 5/6 nephrectomy； the successfully modeled rats were divided into model group， PA low-dose， medium-dose and high-dose groups （5， 10， 20 mg/kg PA）， high-dose PA+ROCK pathway activator lysophosphatidic acid （LPA） group （20 mg/kg PA+1 mg/kg LPA）， with 15 rats in each group. Another 15 rats were selected as the sham operation group with only the kidney exposed but not excised. The rats in each drug group were gavaged and/or injected with the corresponding liquid via the caudal vein， once a day， for 12 consecutive weeks. During the experiment， the general condition of rats was observed in each group. After the last administration， the serum renal function indexes （blood urea nitrogen， serum creatinine， uric acid） of rats in each group were detected， the renal histopathological changes were observed； the renal tubule injury score and the area of renal fibrosis were quantified. The levels of oxidative stress indexes [malondialdehyde （MDA）， superoxide dismutase （SOD）] and inflammatory factors （tumor necrosis factor-α， interleukin-1β， interleukin-6）， the positive expression rates of connective tissue growth factor （CTGF） and collagen Ⅰ were detected as well as the expression levels of pathway-related proteins （RhoA， ROCK1） and fibrosis- related proteins （transforming growth factor-β1， bare corneum homologs 2， α-smooth muscle actin） were determined. RESULTS Compared with the sham operation group， the rats in model group had reduced diet， smaller body size， listless spirit and sluggish response， reduced and atrophied glomeruli， dilated renal tubules with chaotic structure， and a large number of inflammatory cells infiltrated interstitium； the serum levels of renal function indexes， renal tubule injury score， renal fibrosis area proportion， the levels of MDA and inflammatory factors， the positive expression rates of CTGF and collagen Ⅰ， and the expression levels of pathway-related proteins and fibrosis-related proteins in renal tissues were significantly increased， while SOD level was significantly decreased （P＜0.05）. Compared with the model group， the general condition and pathological injuries of kidney tissue of rats in PA groups were improved to varying degrees，and the above quantitative indexes were significantly improved in a dose-dependent manner （P＜0.05）. LPA could significantly reverse the improvement effect of PA on the above indicators （P＜0.05）. CONCLUSIONS PA can improve renal function and alleviate renal fibrosis in CRF rats， which may be related to inhibiting the activation of RhoA/ROCK signaling pathway.

Objective Recombinase-aided polymerase chain reaction(RAP)is a sensitive,single-tube,two-stage nucleic acid amplification method.This study aimed to develop an assay that can be used for the early diagnosis of three types of bacteremia caused by Staphylococcus aureus(SA),Pseudomonas aeruginosa(PA),and Acinetobacter baumannii(AB)in the bloodstream based on recombinant human mannan-binding lectin protein(M1 protein)-conjugated magnetic bead(M1 bead)enrichment of pathogens combined with RAP. Methods Recombinant plasmids were used to evaluate the assay sensitivity.Common blood influenza bacteria were used for the specific detection.Simulated and clinical plasma samples were enriched with M1 beads and then subjected to multiple recombinase-aided PCR(M-RAP)and quantitative PCR(qPCR)assays.Kappa analysis was used to evaluate the consistency between the two assays. Results The M-RAP method had sensitivity rates of 1,10,and 1 copies/μL for the detection of SA,PA,and AB plasmids,respectively,without cross-reaction to other bacterial species.The M-RAP assay obtained results for<10 CFU/mL pathogens in the blood within 4 h,with higher sensitivity than qPCR.M-RAP and qPCR for SA,PA,and AB yielded Kappa values of 0.839,0.815,and 0.856,respectively(P<0.05). Conclusion An M-RAP assay for SA,PA,and AB in blood samples utilizing M1 bead enrichment has been developed and can be potentially used for the early detection of bacteremia.

Objective To achieve automatic segmentation of cell nuclei in gastrointestinal cancer pathological images by using a deep learning algorithm,so as to assist in the quantitative analysis of subsequent pathological images.Methods A total of 59 patients with gastrointestinal cancer treated in Ruijin Hospital,Shanghai Jiao Tong University School of Medicine from Jan 2022 to Feb 2022,were selected as the research objects.Python and LabelMe were used for data anonymization,image segmentation,and region of interest annotation of patients'pathological images.A total of 944 pathological images were included,and 9 703 nuclei were annotated.Then,a new semantic segmentation model based on deep learning was constructed.The model introduced deformable attention transformer(DAT)to realize automatic,accurate and efficient segmentation of pathological image nuclei.Finally,multiple segmentation evaluation criteria are used to evaluate the model's performance.Results The mean absolute error of the segmentation results of the model proposed in this paper was 0.112 6,and the dice coefficient(Dice)was 0.721 5.Its effect was significantly better than the U-net baseline model,and it was ahead of models such as ResU-net++,R2Unet and R2AttUnet.Moreover,the segmentation results were relatively stable with good generalization.Conclusion The segmentation model established in this study can accurately identify and segment the nuclei in the pathological images,with good robustness and generalization,which is helpful to play an auxiliary diagnostic role in practical applications.

Background and aim:Hepatic ischemia-reperfusion injury(IRI)is a significant challenge in liver trans-plantation,trauma,hypovolemic shock,and hepatectomy,with limited effective interventions available.This study aimed to investigate the role of leukocyte cell-derived chemotaxin 2(LECT2)in hepatic IRI and assess the therapeutic potential of Lect2-short hairpin RNA(shRNA)delivered through adeno-associated virus(AAV)vectors. Materials and methods:This study analyzed human liver and serum samples from five patients under-going the Pringle maneuver.Lect2-knockout and C57BL/6J mice were used.Hepatic IRI was induced by clamping the hepatic pedicle.Treatments included recombinant human LECT2(rLECT2)and AAV-Lect2-shRNA.LECT2 expression levels and serum biomarkers including alanine aminotransferase(ALT),aspartate aminotransferase(AST),creatinine,and blood urea nitrogen(BUN)were measured.Histological analysis of liver necrosis and quantitative reverse-transcription polymerase chain reaction were performed. Results:Serum and liver LECT2 levels were elevated during hepatic IRI.Serum LECT2 protein and mRNA levels increased post reperfusion.Lect2-knockout mice had reduced weight loss;hepatic necrosis;and serum ALT,AST,creatinine,and BUN levels.rLECT2 treatment exacerbated weight loss,hepatic necrosis,and serum biomarkers(ALT,AST,creatinine,and BUN).AAV-Lect2-shRNA treatment significantly reduced weight loss,hepatic necrosis,and serum biomarkers(ALT,AST,creatinine,and BUN),indicating thera-peutic potential. Conclusions:Elevated LECT2 levels during hepatic IRI increased liver damage.Genetic knockout or shRNA-mediated knockdown of Lect2 reduced liver damage,indicating its therapeutic potential.AAV-mediated Lect2-shRNA delivery mitigated hepatic IRI,offering a potential new treatment strategy to enhance clinical outcomes for patients undergoing liver-related surgeries or trauma.

Aim To explore the molecular mechanism of luteolin against acute lung injury by network phar-macology and molecular docking technology,and to conduct experimental verification.Methods The re-lated targets of luteolin were predicted by PubChem and Swiss Target Prediction databases.Acute lung in-jury-related targets were collected through the Gene-Cards database.Venny 2.1 was used to draw the Venn diagram,and the common targets of drug and disease were obtained.The protein interaction network(PPI)was established by String online platform,and the core targets were screened by Cytoscape 3.8.2 software.The functional enrichment analysis of Gene Ontology(GO)and pathway enrichment analysis of Kyoto Ency-clopedia of Gene and Genome(KEGG)were per-formed on the common targets using the DAVID data-base,and the results were visualized.Finally,molecu-lar docking was performed by Auto Dock software,and the molecular results were visualized by Pymol.The mouse acute lung injury model was constructed.HE staining was used to detect histopathology,and Western blot was used to detect lung tissue related proteins.Results After screening,85 common targets were ob-tained.Among them,the core targets were AKT1,EG-FR,SRC,MMP9,ESR1,PTGS2,etc.GO enrichment analysis obtained 265 biological processes,including signal transduction,protein phosphorylation,and nega-tive regulation of apoptosis.There were 48 cells,main-ly including plasma membrane,cell solute,cytoplasm,etc.There are 107 molecular functions,mainly inclu-ding ATP binding,protein serine/threonine/tyrosine ki-nase activity,protein kinase activity and so on.A total of 92 signaling pathway were obtained by KEGG path-way enrichment analysis,which mainly acted on PI3 K-AKT signaling pathway,ErbB signaling pathway,VEGF signaling pathway,etc.Molecular docking results showed that luteolin had good docking activity with core targets AKT1,EGFR,SRC,MMP9,ESR1,PTGS2,MMP2,GSK3 B,KDR and PARP1.The binding ener-gy of ERS1,GSK3B and MMP2 was lower than-5.0 kal·mol-1,and the affinity with luteolin was stronger.The pathological results of lung tissue showed that lute-olin could inhibit inflammatory infiltration and had a strong anti-inflammatory effect in LPS-induced acute lung injury model in mice.Western blot experiments showed that luteolin might alleviate the inflammatory response by inhibiting the phosphorylation of AKT.Conclusions Luteolin can play an anti-acute lung in-jury role through multi-target and multi-channel mecha-nisms,which may be closely related to the inhibition of AKT phosphorylation.