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statusCode>OK</statusCode></file_versions><scores/><additional><ftp_download_link>ftp://ftp.ebi.ac.uk/pub/databases/metabolights/studies/public/MTBLS13811</ftp_download_link><metabolite_identification_protocol>&lt;p>The normalized data was used to predict the&lt;/p>&lt;p>molecular formula based on additive ions,molecular ion peaks and fragment ions.And&lt;/p>&lt;p>then peaks were matched with the mzCloud(https://www.mzcloud.org/), mzVaultand&lt;/p>&lt;p>MassListdatabase to obtain the accuratequalitative and relative quantitative&lt;/p>&lt;p>results.Statistical analyses were performed using the statistical software R (R version&lt;/p>&lt;p>R-3.4.3),Python (Python 2.7.6 version) and CentOS(CentOS release 6.6),When data&lt;/p>&lt;p>were not normally distributed, normal transformations were attempted using of area&lt;/p>&lt;p>normalization method.&lt;/p></metabolite_identification_protocol><repository>MetaboLights</repository><study_status>Public</study_status><ptm_modification></ptm_modification><instrument_platform>Liquid Chromatography MS - negative - reverse-phase</instrument_platform><instrument_platform>Liquid Chromatography MS - positive - reverse-phase</instrument_platform><chromatography_protocol>&lt;p>UHPLC-MS/MS analyses were performed using a Vanquish UHPLC system&lt;/p>&lt;p>(ThermoFisher, Germany) coupled with an Orbitrap Q ExactiveTMHF-X mass&lt;/p>&lt;p>spectrometer (Thermo Fisher, Germany)in Novogene Co., Ltd. (Beijing, China).&lt;/p>&lt;p>Samples were injected onto a HypersilGoldcolumn (100×2.1 mm, 1.9μm) using a&lt;/p>&lt;p>12-min linear gradient at a flow rate of 0.2mL/min. The eluents for the positive and&lt;/p>&lt;p>negative polarity modes were eluent A (0.1% FA in Water) and eluent B&lt;/p>&lt;p>(Methanol).The solvent gradient was set as follows: 2% B, 1.5 min; 2-85% B, 3 min;&lt;/p>&lt;p>85-100% B, 10 min; 100-2% B, 10.1 min; 2% B, 12 min.&amp;nbsp;&lt;/p></chromatography_protocol><publication>LGG exhibits inhibitory effects against non-small cell lung cancer (NSCLC) and alleviates the adverse effects associated with gefitinib.</publication><submitter_name>ä¸½å©· å¢</submitter_name><submitter_affiliation>æµ·åå¤§å­¦</submitter_affiliation><organism_part>feces</organism_part><technology_type>mass spectrometry assay</technology_type><disease></disease><extraction_protocol>&lt;p>Tissues (100 mg) were individually grounded with liquid nitrogen and the&lt;/p>&lt;p>homogenate wasresuspended with prechilled 80% methanol by well vortex. The&lt;/p>&lt;p>sampleswere incubated on ice for 5 min and then were centrifuged at 15,000 g, 4°C&lt;/p>&lt;p>for 20 min. Someof supernatant was diluted to final concentration containing 53%&lt;/p>&lt;p>methanol by LC-MS grade water.Thesamples were subsequently transferred to a fresh&lt;/p>&lt;p>Eppendorf tube and thenwere centrifuged at 15000 g, 4°C for 20 min. Finally, the&lt;/p>&lt;p&gt;supernatant was injected into the LC-MS/MSsystem analysis&lt;/p></extraction_protocol><organism>Mus musculus</organism><full_dataset_link>https://www.ebi.ac.uk/metabolights/MTBLS13811</full_dataset_link><author>Siyuan Shen. Hainan University. 1512181782@qq.com.</author><data_transformation_protocol>&lt;p>The raw data files generated by UHPLC-MS/MS were processed using the Compound&lt;/p>&lt;p>Discoverer 3.3 (CD3.3, ThermoFisher) to perform peak alignment, peak picking, and&lt;/p>&lt;p>quantitation for each metabolite. The main parameterswere set as follows: peak area&lt;/p>&lt;p>was corrected with the first sample; actual mass tolerance, 5ppm; signal intensity&lt;/p>&lt;p>tolerance, 30%; and minimum intensity, et al.After that, peak intensities were&lt;/p>&lt;p>normalized to the total spectral intensity.&lt;/p></data_transformation_protocol><study_factor>Treatment</study_factor><submitter_email>1512181782@qq.com</submitter_email><sample_collection_protocol>&lt;p>Fecal samples were collected from mice after a 12-hour fast prior to sacrifice and stored at -80°C.&lt;/p></sample_collection_protocol><omics_type>Metabolomics</omics_type><study_design>gefitinib</study_design><study_design>Lung Non-Small Cell Carcinoma</study_design><study_design>Lactobacillus rhamnosus</study_design><study_design>untargeted metabolite profiling</study_design><curator_keywords>gefitinib</curator_keywords><curator_keywords>Lung Non-Small Cell Carcinoma</curator_keywords><curator_keywords>Lactobacillus rhamnosus</curator_keywords><curator_keywords>untargeted metabolite profiling</curator_keywords><mass_spectrometry_protocol>&lt;p>Q ExactiveTM HF mass&lt;/p>&lt;p>spectrometer was operated in positive/negative polarity mode with spray voltage of&lt;/p>&lt;p>3.5 kV, capillary temperature of 320°C, sheath gas flow rate of 35 psi and aux gas&lt;/p>&lt;p>flow rate of 10 L/min, S-lens RF level of 60, Aux gas heater temperature of 350°C.&lt;/p></mass_spectrometry_protocol></additional><is_claimable>false</is_claimable><name>Lactobacillus rhamnosus GG (LGG) exhibits inhibitory effects against non-small cell lung cancer (NSCLC) and alleviates the adverse effects associated with gefitinib_Fecal metabolomics study in mice</name><description>&lt;p>After screening the bacteria both in vivo and in vitro, it was found that a certain candidate strain could significantly inhibit non-small cell lung cancer when combined with the drug gefitinib and alleviate the side effects of gefitinib. Next, the mechanism will be explored through in vivo and in vitro experiments.&lt;/p></description><dates><publication>2026-09-03</publication><submission>2026-01-31</submission></dates><accession>MTBLS13811</accession><cross_references/></HashMap>