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