The raw mass spectrometry data were converted to mzXML format via ProteoWizard. Peak picking and quantification were accomplished using XCMS software. Peak alignment among samples was performed on the basis of retention time, m/z and other parameters, and peak areas were calibrated with the first sample to enhance quantitative accuracy. Metabolites were identified by matching features to a high-quality MS/MS spectral database with a mass tolerance of 10 ppm and adduct ion information. Background interfering ions were removed by blank samples, and the raw quantitative results were standardized following the formula to generate relative peak areas.
"],"repository":["MetaboLights"],"study_status":["Public"],"ptm_modification":[""],"instrument_platform":["Liquid Chromatography MS - positive - hilic","Liquid Chromatography MS - negative - hilic"],"chromatography_protocol":["Chromatographic separation was performed on a Hypersil Gold column (C18). The column temperature was maintained at 40 °C with a flow rate of 0.2 mL/min. Mobile phase A consisted of 0.1% formic acid, and mobile phase B was methanol. The gradient elution was set as follows: 0 min, 98% A and 2% B; 1.5 min, 98% A and 2% B; 3 min, 15% A and 85% B; 10 min, 0% A and 100% B; 10.1 min, 98% A and 2% B; 11 min, 98% A and 2% B; 12 min, 98% A and 2% B.
"],"publication":["Exploring the mechanism of YJW's antidepressant effect based on multi omics analysis."],"submitter_affiliation":["Peking University"],"submitter_name":["Duo Keai"],"organism_part":["brain"],"technology_type":["mass spectrometry assay"],"disease":[""],"extraction_protocol":["A 100 mg aliquot of tissue sample ground with liquid nitrogen was mixed with 500 μL of 80% aqueous methanol solution. Vortex the mixture, incubate on ice for 5 min, and centrifuge for 20 min. An appropriate volume of the supernatant was diluted with mass spectrometry-grade water. After centrifugation, the resulting supernatant was injected into the LC-MS system for analysis.
"],"organism":["Rattus norvegicus"],"full_dataset_link":["https://www.ebi.ac.uk/metabolights/MTBLS15921"],"author":["Shimeng Lv. Guangzhou Medical University. 516214270@qq.com."],"data_transformation_protocol":["The raw data were converted to mzXML format using ProteoWizard. Peak picking and quantification were performed with the XCMS software. Peak alignment across samples was carried out based on retention time, m/z and other parameters, and peak areas were normalized against the first sample to improve quantitative accuracy. Metabolite identification was achieved by matching the features against a high-quality MS/MS spectral database with a mass tolerance of 10 ppm and consideration of adduct ions. Background interfering ions were removed using blank samples. The original quantitative results were standardized according to the formula to obtain the relative peak areas.
"],"study_factor":["Group"],"submitter_email":["keaiduoduo998@126.com"],"sample_collection_protocol":["The rat hippocampal tissue was carefully isolated via blunt dissection under low-temperature conditions. After weighing using an electronic balance, the tissue was aliquoted into cryovials. The openings of cryovials were then sealed with Parafilm, followed by transfer to a −80 °C ultra-low temperature freezer for cryopreservation until subsequent assays.
"],"omics_type":["Metabolomics"],"study_design":["Thermo Scientific Vanquish UHPLC System","Brain","Metabolomics","Q Exactive HF/Q Exactive HF-X","untargeted analysis","YJW","Rattus norvegicus","depression","LCMS"],"curator_keywords":["Thermo Scientific Vanquish UHPLC System","Brain","Metabolomics","Q Exactive HF/Q Exactive HF-X","untargeted analysis","Rattus norvegicus","YJW","depression","LCMS"],"mass_spectrometry_protocol":["The scan range was set at m/z 100–1500. The parameters of the ESI source were as follows: spray voltage, 3.5 kV; sheath gas flow rate, 35 psi; auxiliary gas flow rate, 10 L/min; ion transfer tube temperature, 320 °C; S-lens RF level, 60; auxiliary gas heater temperature, 350 °C; polarity, positive and negative. The MS/MS acquisition was performed using data-dependent scanning.
"],"metabolite_name":[".beta.-glycerophosphate","(2-aminoethoxy)[3-[hexadec-1-en-1-yloxy]-2-[hexadec-9-enoyloxy]propoxy]phosphinic acid",".alpha.-L-Asp-L-Phe","(2-aminoethoxy)[3-[hexadec-1-en-1-yloxy]-2-(hexadecanoyloxy)propoxy]phosphinic acid","(2-oxo-2,3-dihydro-1h-indol-3-yl)acetic acid",".alpha.-keto-.gamma.-(methylthio)butyric acid","(+)-catechin","(2-aminoethoxy)[2-[docosa-4.7.10.13.16.19-hexaenoyloxy]-3-[octadeca-1.9-dien-1-yloxy]propoxy]phosphinic acid","(2-aminoethoxy)[3-[hexadec-1-en-1-yloxy]-2-[icosa-5.8.11.14-tetraenoyloxy]propoxy]phosphinic acid","(2-aminoethoxy)[2-[docosa-4.7.10.13.16.19-hexaenoyloxy]-3-[hexadec-1-en-1-yloxy]propoxy]phosphinic acid",".gamma.-linolenic acid"],"additional_accession":[]},"is_claimable":false,"name":"Exploring the mechanism of YJW's antidepressant effect based on multi omics analysis","description":"Exploring the mechanism of YJW's antidepressant effect based on multi omics analysis.
Exploring the mechanism of YJW's antidepressant effect based on multi omics analysis
Exploring the mechanism of YJW's antidepressant effect based on multi omics analysis
","dates":{"publication":"2026-10-05","submission":"2026-10-05"},"accession":"MTBLS15921","cross_references":{"HMDB":["HMDB0001553","HMDB0000706","HMDB0002520","HMDB0003073","HMDB0002780","HMDB0005780","HMDB0011460","HMDB0011158","HMDB0011339","HMDB0011352","HMDB0035514"]}}