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Objective:To screen the interacting protein of ubiquitin-conjugating enzyme E2S(UBE2S)and construct the hepatocellular carcinoma(HCC)based on UBE2S interacting protein prognosis model(UIPM),and to discuss the value of UIPM in assessing the prognosis of the HCC patients.Methods:Co-immunoprecipitation(Co-IP)was used to screen the protein complexes binding to Flag-UBE2S.After validation by sodium dodecyl sulphate-polyacrylamide gel electrophoresis(SDS-PAGE)and Western blotting methods;liquid chromatography-mass spectrometer(LC-MS)was used to identify the UBE2S interacting proteins;Gene Ontology(GO)functional enrichment analysis and Kyoto Encyclopedia of Genes and Genomes(KEGG)signaling pathway enrichment analysis were conducted on these proteins;the prognosis-related proteins from The Cancer Genome Atlas(TCGA)were cross-referenced with UBE2S interacting proteins by survival package of R software;the key proteins were extracted through LASSO regression analysis to build the UIPM;the prognostic model risk scoring formula was established.The HCC patients in TCGA were divided into high risk group and low risk group based on median value of the risk scores.The predictive accuracy of UIPM was evaluated by receiver operating characteristic curve(ROC),and the predictive accuracy was further validated by International Cancer Genome Consortium(ICGC)Database;univariate regression analysis and multivariate Cox regression analysis were used to detect whether the UIPM risk score was an independent prognostic factor for HCC.Furthermore,the nomogram model was built.Results:A total of 97 UBE2S interacting proteins were identified through Co-IP combined with LC-MS analysis.The GO functional enrichment analysis and KEGG signaling pathway enrichment analysis results showed that the interacting proteins were closely associated with cysteine-type endopeptidase activity,oxidative stress,and cell death.The TCGA revealed 5 163 HCC prognosis-related proteins;after intersecting with UBE2S interacting proteins,40 prognosis-related interacting proteins were found.Seven key proteins were determined through LASSO regression analysis,including UBE2S,heat shock protein family A member 8(HSPA8),heterogeneous nuclear ribonucleoprotein H1(HNRNPH1),chaperonin containing TCP1 subunit 3(CCT3),eukaryotic translation initiation factor 2 subunit 1(EIF2S1),receptor for activated C kinase 1(RACK1),and actin related protein 2/3 complex subunit 4(ARPC4),and the UIPM was constructed.There was significant difference in survival rate of the patients between high risk group and low risk group(P<0.05).The ROC curve analysis results showed the area under ROC curve(AUC)values of UIPM for predicting 1-year,2-year,and 3-year survival risk scores of the HCC patients were all greater than 0.7,indicating the model had high predictive accuracy.This was also confirmed by ICGC Database data.The univariate and multivariate Cox regression analysis results showed that the UIPM risk score was an independent prognostic risk factor for the HCC patients(P<0.05).The nomogram results showed good consistency between predicted survival rate and actual survival rate of the patient.Conclusion:A total of 97 interacting proteins that interact with UBE2S may promote the occurence and devolopment of HCC through oxidative stress and dysregulation of ferroptosis pathways.The UIPM risk score is an independent risk factor for the prognosis of HCC and can be used to predict the outcomes of the patients.UBE2S,HSPA8,HNRNPH1,CCT3,EIF2S1,RACK1,and ARPC4 could be regarded as the new biomarkers and therapeutic targets for HCC.

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Objective:To explore the effects of hyperoxic environments on renal metabolites to understand the potential mechanisms that contribute to pathologic retinal vascular neovascularization and renal injury through metabolomic studies in a mouse model of oxygen-induced retinopathy (OIR) model.Methods:Sixteen C57/B6J mice pups born to day 7 (P7) were randomly and equally divided into an OIR model group and a normal control group using a randomized numerical table of mother mice.Mice were reared standardly from birth until day 7 (P7), then mice and their mother mice in the OIR group were placed in a hyperoxic (75±2)% chamber until day 12 (P12) and then reared normally.Mice in the normal control group were reared normally throughout.Mice in two groups were killed by carbon dioxide euthanasia on postnatal day 17 (P17). The mice retinal wholemount from the two groups were made and stained with isolectin B4 (IB4) to observe the morphology of retinal vessels, central non-perfusion area and pathological neovascularization.The kidney tissue of P17 mice was analyzed by liquid chromatograph mass spectrometer.After anticoagulant treatment, the whole blood of mice was centrifuged and precipitated, and the obtained plasma without cellular components was analyzed by targeted metabonomics.Mass spectral information was interpreted using metabolomics data processing software Progenesis QI v2.3.Overall differences in metabolic profiles were distinguished by unsupervised principal component analysis and orthogonal partial least squares analysis (OPLS-DA). The fold change and P values of metabolites were compared between the two groups.The variable importance of projection value>1 and P value<0.05 was used to screen out differential metabolites.Metabolic pathway enrichment analysis of differential metabolites was performed based on the KEGG database.The feeding and use of animals were strictly in accordance with the requirements of the Ethics Committee of Jinan University, and the research protocol was reviewed and approved by the Ethics Committee of Jinan University (No.20200401-54). Results:The IB4 staining of retinal wholemounts showed that the retinal blood vessels were evenly distributed in the P17 mice from control group.The peripheral retinal vessels were tortuous and disordered with a large non-perfusion area in central region in P17 mice from OIR group, and a large number of neovascularization clusters were formed at the junction of the nonperfusion area and the vascular area of the retina, showing strong fluorescent staining.The relative area of retinal nonperfusion area in OIR group was (25.16±3.50)%, which was significantly larger than (0.63±0.30)% in normal control group ( t=12.07, P<0.001). The OPLS-DA parameter R2X cum (0.578), interpretation rate R2Y cum (0.978) and prediction rate Q2 cum (0.857) values were all greater than 0.5, indicating that the OPLS-DA model had a good predictive ability.A total of 26 main differential metabolites were found, among which 17 were up-regulated and 9 were down-regulated, including glycerophospholipids (PC 20∶4(5Z, 8Z, 11Z, 14Z)/0∶0, PC 22∶6(4Z, 7Z, 10Z, 13Z, 16Z, 19Z)/0∶0, PC 14∶1(9Z)/20∶2(11Z, 14Z), PE P-18∶0/20∶4(6E, 8Z, 11Z, 14Z)(5OH[S]), amino acid metabolites (arginine, ornithine, pipecolic acid, and hydroxylysine), purines (guanine, hypoxanthine, hydroxypurinol), and fatty acids (methyl 15-palmitate, 2, 6, 8, 12-tetramethyl-2, 4-tridecadien-1-ol), and so on.Differential metabolites were mainly enriched in ABC transporters (L-arginine, taurine, inositol, adenosine, N-acetyl-D-glucosamine, L-glutamine), aminoacyl-tRNA biosynthesis (L-isoleucine, L-proline, L-arginine, L-histidine, L-glutamine), arginine biosynthesis (L-arginine, L-ornithine, L-glutamine) metabolic pathways.The plasma targeted metabonomics showed that the differential amino acid metabolites were mainly enriched in metabolic pathways such as aminoacyl-tRNA biosynthesis, arginine biosynthesis and metabolism, and ABC transporters. Conclusions:ABC transporter, aminoacyl-tRNA biosynthesis, and arginine biosynthesis metabolic pathways in OIR mice may participate in the pathological changes of renal injury and neovascularization in retinopathy of prematurity.

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This study set out to determine the key metabolite changes underlying the pathophysiology of severe preeclampsia (PE) using metabolic analysis. We collected sera from 10 patients with severe PE and from 10 healthy pregnant women of the same trimester and analyzed them using liquid chromatography mass spectrometry. A total of 3,138 differential metabolites were screened, resulting in the identification of 124 differential metabolites. Kyoto encyclopedia of genes and genomes pathway analysis revealed that they were mainly enriched in the following metabolic pathways: central carbon metabolism in cancer; protein digestion and absorption; aminoacyl-transfer RNA biosynthesis; mineral absorption; alanine, aspartate, and glutamate metabolism; and prostate cancer. After analysis of 124 differential metabolites, 2-hydroxybutyric acid was found to be the most critical differential metabolite, and its use allowed the differentiation of women with severe PE from healthy pregnant women. In summary, our analysis revealed that 2-hydroxybutyric acid is a potential key metabolite for distinguishing severe PE from healthy controls and is also a marker for the early diagnosis of severe PE, thus allowing early intervention.

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It has been established that a consortium consisting of compatible plant growth promoting rhizobacterial strains outperforms their individual impacts on plant attributes. While the phenomenon of synergism is extensively reported, the mechanism that underpins it is yet to be elucidated. In the present study the impact of three plant growth promoting bacteria, Azotobacter chroococcum (A), Priestia megaterium (formerly Bacillus megaterium) (B), and Pseudomonas sp. SK3 (P) was studied as a consortium on the growth attributes of pigeonpea. In addition, microbe-microbe interactions were investigated through metabolomic profiling to understand the mechanism of synergism. Plant growth experiments revealed that bacterial consortium A + B + P showed a significant increase in plant attributes such as shoot length, root length, fresh weight, and dry weight as compared to monocultures and two-membered consortia. Metabolomic profiling through high resolution liquid chromatograph mass spectrometer revealed the presence of a few bioactive compounds in the consortium that might play a potential role in the enhancement of biometric parameters of the plant. Several compounds, such as antipyrine, 6,6-dimethoxy-2,5,5-trimethyl-2-hexene, N-methyltryptamine, 2,2-dimethyl-3,4-bis(4-methoxyphenyl)-2H-1-benzopyran-7-ol acetate, N6-hydroxy-l-lysine, and l-furosin, were detected in the metabolome of the consortium, which was unique among all the treatments. The study also detected a few metabolites involved in sphingolipid biosynthesis (ketosphinganine and sphinganine) known for cell signaling in the consortium. This unravels the possible mechanism of synergism between bacterial strains in a consortium. The metabolomic profile would be helpful to strategically develop unique and more effective consortia that are tailored to the soil type.

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The modulation of the gut microbiome has been widely suggested as a promising therapeutic strategy for inflammatory bowel disease (IBD). Here, we established a novel probiotic cocktail to investigate its therapeutic role in acute colitis mice. During dextran sulfate sodium (DSS)-induced colitis, the mice were treated with the probiotic cocktail, fecal microbiota transplantation (FMT) from a healthy mice donor, or 5-aminosalicylic acid (5-ASA), respectively. The inflammatory responses were assessed by symptoms, serum inflammatory factors, and histological scoring. The intestinal barrier function was assessed by detecting tight junction proteins. Gut microbiota and its metabolites were further identified using 16S rDNA sequencing and a liquid chromatograph mass spectrometer (LC-MS/MS). Compared with FMT and 5-ASA treatment, the probiotic cocktail performed better in alleviating symptoms of colitis and decreasing disease activity score and mucosal inflammation. The probiotic cocktail also significantly decreased serum IL-17 level and increased JAM-1 expression in colon. The gut microbiota analysis confirmed that the beneficial effects of the probiotic cocktail were attributed to increasing anti-inflammatory bacteria Akkermansia, Bifidobacterium, and Blautia, while decreasing pro-inflammatory bacteria Parasutterella. The targeted metabolome analysis further indicated a rise in the production of Bifidobacterium-related short-chain fatty acids (SCFAs) such as propanoic acid and isobutyric acid after probiotics treatment. Taken together, the probiotic cocktail effectively alleviated intestinal inflammation through improving gut microbiota and metabolites in colitis mice, suggesting its great potential to be a novel therapeutic approach for IBD patients.

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Naphthylacetic acid (NAA) was used to increase the tuberous root yield of Rehmannia glutinosa, but the differences between its NAA-treated and control tuberous roots (NT and CG) and the regulatory mechanism of NAA effect remain unclear. In order to investigate them, NTs and CGs were used as materials, and both yield-related indices were measured; the metabolomics and transcriptomics were used to capture differentially accumulated metabolites (DAM) and to validate them via mining differentially expressed genes (DEGs), respectively. The effects of NAA treatment: increased NT mass per plant by 21.14%, through increasing the number of roots and increasing the mean root diameter; increased catalpol content by 1.2234% (p < 0.05); up-regulated 11DAMs and 596DEGs; and down-regulated 18 DAMs and 517DEGs. In particular, we discovered that NAA regulated its DAMs and biomass via 10 common metabolic pathways, and that the number of NAA-down-regulated DAMs was more than that of NAA-up-regulated DAMs in its tuberous root. Furthermore, HPLC validated the changes of several DAMs and 15 DEGs (4CL, ARF, CCoAOMT, ARGOS, etc.) associated with the yield increase and DAMs were verified by RT-qPCR. This study provided some valuable resources, such as tuberous root indices, key genes, and DAMs of Rehmannia glutinosa in response to NAA for distinguishing the CGs from NTs, and novel insights into the regulatory mechanism of NAA effects on both at the transcriptomic and metabolomic levels, so it will lay a theoretical foundation for NAA-regulated plant yield and quality, and provide references for prohibiting the uses of NAA as a swelling agent in medicinal tuber plants in China.

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OBJECTIVE To establish t he method for determining the concentrations of fluoxetine ，norfluoxetine and sertraline in human placental perfusate method and their placental permeability. METHODS Using glyburide as internal standard ，the samples were pretreated by protein precipitation method and detected by ultra-fast liquid chromatograph-mass spectrometer/mass spectrometer （UFLC-MS/MS）. The determination was performed on Synergi TM Hydro-RP 80A LC column with mobile phase consisted of water （containing 0.1％ formic acid ）-acetonitrile（containing 0.1％ formic acid ）at the flow rate of 0.70 mL/min，with a gradient elution. The column temperature was set at 40 ℃，and sample size was 5 μL. Detection was performed with electrospray ionization source in multipl e reaction monitoring mode . The ion pairs for quantitative analysis we re m/z 309.9→148.1（fluoxetine），m/z 296.0→134.4 （-167）， （norfluoxetine），m/z 306.1→159.0 （sertraline），m/z 493.9→ No.2018FE001（-207），（internal standard ）. The perfusion model of singal placenta under bidrectional cardiopulmonary bypass was established. Fluoxetine （160 ng/mL），norfluoxetine（160 ng/mL）， sertraline（100 ng/mL）and antipyrine （positive control ，ng/mL）were added into the maternal perfusate. The concen- 65324888 trations of fluoxe tine， norfluoxetine and sertrali ne were measured by above UFLC-MS/MS at 0，10，20，30，45，60，90，120，150 and 180 min of circulation ，and the placental permeability was calculated. RESULTS The linear range of fluoxetine ，norfluoxetine and sertraline were 5.00-500 ng/mL（all r＞ 0.990），and the lower limits of quantification were all 5.00 ng/mL. The RSDs of intra-day and inter-day were all less than 14.0％， and relative error ranged －9.6％ to 14.7％. The relative error of stability test was －4.0％ to 11.0％；the residual effect ，extraction method and matrix effect did not affect the quantitative analysis of the substance to be tested. Totally 31 perfusion model of human placenta under cardiopulmonary bypass were successfully established ，including 15 fluoxetine and norfluoxetine perfusion ，10 sertraline perfusion and 6 antipyrine perfusion. After 3 hours of perfusion ，the average placental permeability of fluoxetine ， norfluoxetine and sertraline were （8.74 ± 1.67）％ ，（10.70 ± 4.81）％ ，（5.90 ± 1.25）％ ，respectively. CONCLUSIONS The established UPLC-MS/MS is simple ，sensitive and accurate. It can be used for determination of fluoxetine ，norfluoxetine and sertraline in human placental perfusate. Fluoxetine ，norfluoxetine and sertraline can pass through the placenta ，but sertraline has a lower placental permeability.

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Identifying and comparing the chemical constituents of wild silkworm cocoon and silkworm cocoon is of great significance for understanding the domestication of silkworm. In this study, we used high temperature and high pressure and methanol-water system to extract cocoon chemical constituents. We used UHPLC-MS to identify and compare cocoon chemical constituents of wild silkworm and domestic silkworm Dazao and Haoyue strains. The cocoon metabolic fingerprints of wild silkworm and domestic silkworm Dazao and Haoyue strains were obtained by using the UHPLC-MS in the positive ion mode and negative ion mode. By annotation, we found that cocoon chemical compounds with high abundances contained amino acids, flavonoids, alkaloids, terpenes, organic acids, and lignans. PLS-DA showed that the cocoon components were significantly different among the wild silkworm and two domestic silkworm strains Dazao and Haoyue. Proline, leucine/isoleucine and phenylalanine showed significantly higher abundances in the cocoon of domestic silkworm Dazao strain than in those of wild silkworm and domestic silkworm Haoyue strain. The flavonoid secondary metabolites are abundant in the Dazao cocoon, including quercetin, isoquercetin, quercetin 3-O-sophoroside, quercetin-3-O-α-L-rhamnoside, quercetin-3-O- rutinoside, and kaempferol. The other secondary metabolites, alkaloids, terpenes and lignans, showed higher abundances in the wild silkworm cocoon than in the domestic silkworm cocoon, including neurine, candicine, pilocarpidine, artemisiifolin, eupassopin, and eudesobovatol. By exposing cocoons to UV light and observing the green fluorescence of flavonoids, we found that Dazao cocoon had the most flavonoids, and Haoyue cocoon had least flavonoids and wild silkworm cocoon had mediate flavonoids. Alkaloids and organic acids are good anti-insect and antimicrobial agents, which have high abundance in the wild silkworm cocoon and could enhance the defense ability of wild silkworm cocoon. Flavonoids are abundant in the cocoon of domestic silkworm Dazao strain, which the main factors are leading to the yellow-green cocoon of Dazao.

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Identifying and comparing the chemical constituents of wild silkworm cocoon and silkworm cocoon is of great significance for understanding the domestication of silkworm. In this study, we used high temperature and high pressure and methanol-water system to extract cocoon chemical constituents. We used UHPLC-MS to identify and compare cocoon chemical constituents of wild silkworm and domestic silkworm Dazao and Haoyue strains. The cocoon metabolic fingerprints of wild silkworm and domestic silkworm Dazao and Haoyue strains were obtained by using the UHPLC-MS in the positive ion mode and negative ion mode. By annotation, we found that cocoon chemical compounds with high abundances contained amino acids, flavonoids, alkaloids, terpenes, organic acids, and lignans. PLS-DA showed that the cocoon components were significantly different among the wild silkworm and two domestic silkworm strains Dazao and Haoyue. Proline, leucine/isoleucine and phenylalanine showed significantly higher abundances in the cocoon of domestic silkworm Dazao strain than in those of wild silkworm and domestic silkworm Haoyue strain. The flavonoid secondary metabolites are abundant in the Dazao cocoon, including quercetin, isoquercetin, quercetin 3-O-sophoroside, quercetin-3-O-α-L-rhamnoside, quercetin-3-O- rutinoside, and kaempferol. The other secondary metabolites, alkaloids, terpenes and lignans, showed higher abundances in the wild silkworm cocoon than in the domestic silkworm cocoon, including neurine, candicine, pilocarpidine, artemisiifolin, eupassopin, and eudesobovatol. By exposing cocoons to UV light and observing the green fluorescence of flavonoids, we found that Dazao cocoon had the most flavonoids, and Haoyue cocoon had least flavonoids and wild silkworm cocoon had mediate flavonoids. Alkaloids and organic acids are good anti-insect and antimicrobial agents, which have high abundance in the wild silkworm cocoon and could enhance the defense ability of wild silkworm cocoon. Flavonoids are abundant in the cocoon of domestic silkworm Dazao strain, which the main factors are leading to the yellow-green cocoon of Dazao.

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This study was undertaken to validate the "quick, easy, cheap, effective, rugged and safe" (QuEChERS) method using Golden Delicious and Starking Delicious apple matrices spiked at 0.1 maximum residue limit (MRL), 1.0 MRL and 10 MRL levels of the four pesticides (chlorpyrifos, dimethoate, indoxacarb and imidacloprid). For the extraction and cleanup, original QuEChERS method was followed, then the samples were subjected to liquid chromatography-triple quadrupole mass spectrometry (LC-MS/MS) for chromatographic analyses. According to t test, matrix effect was not significant for chlorpyrifos in both sample matrices, but it was significant for dimethoate, indoxacarb and imidacloprid in both sample matrices. Thus, matrix-matched calibration (MC) was used to compensate matrix effect and quantifications were carried out by using MC. The overall recovery of the method was 90.15% with a relative standard deviation of 13.27% (n = 330). Estimated method detection limit of analytes blew the MRLs. Some other parameters of the method validation, such as recovery, precision, accuracy and linearity were found to be within the required ranges.

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Objective To establish a liquid chromatographic-mass spectrometric method ( LC-MS/MS method ) for determination of dextrorphan in human liver microsome. Methods LC-MS/MS was adopted with carbamazepine serving as an internal standard.The separation was performed on Agilent ZORBAX XDB-C18 column (2.1 mm×50 mm, 3.5μm), with mobile phase consisting of 0. 05% formic acid methanol-0. 05% formic acid in gradient elution. Dextrorphan and carbamazepine were detected on multiple reaction monitoring(MRM)mode by transitions from precursor to production(m/z 258.1→199.1, 237.1→194.1). Results The linear range of dextrorphan concentration was 19.22-768 960 ng.L-1(r=0.999 8), and the lowest quantification limit was 19.22 ng.L-1.The relative recoveries were 94.02%-98.74%, and the RSDs of intra-day and inter-day were within 10%.IC50 of psoralen on CYP2D6 was 0.6μmol.L-1. Conclusion The LC-MS/MS method is proved to be rapid, sensitive and reproducible, psoralen is a strong inhibitor of CYP2D6.