Raw data were processed using the instrument's native software for format conversion, followed by baseline correction, peak detection, alignment, and retention time correction. To enhance coverage and annotation reliability, we utilized multiple complementary databases, including KEGG and HMDB.
"],"repository":["MetaboLights"],"study_status":["Public"],"ptm_modification":[""],"instrument_platform":["Liquid Chromatography MS - alternating - reverse-phase"],"chromatography_protocol":["Ultra Performance Liquid Chromatography (UPLC) system (ExionLC AD, https://sciex.com.cn/). Column: Waters ACQUITY UPLC HSS T3 C18 column (1.8 µm, 100 mm × 2.1 mm i.d.). Mobile phase: Phase A consisted of ultrapure water containing 0.01% acetic acid and 5 mmol/L ammonium acetate; Phase B was acetonitrile containing 0.01% acetic acid. Flow rate: 0.35 mL/min; Column temperature: 40 °C; Injection volume: 3 µL. Gradient elution program: 0 min, A/B = 95:5 (V/V); 1 min, A/B = 60:40 (V/V); 7 min, A/B = 50:50 (V/V); 12 min, A/B = 25:75 (V/V); 14 min, A/B = 5:95 (V/V); 16.0 min, A/B = 95:5 (V/V).
All procedures were performed on ice. Approximately 20 mg of solid sample was weighed, followed by the addition of one stainless steel bead, 5 μL of an internal standard mixed working solution (10 μg/mL), and 495 μL of methanol for homogenization. After homogenization, the mixture was vortexed at 2500 r/min for 10 min, then placed in a -20 °C freezer for 10 min. Subsequently, the sample was centrifuged at 4 °C and 12000 r/min for 10 min. The supernatant was collected and passed through a protein precipitation plate before LC-MS/MS analysis.
Quantitative data processing was performed using MultiQuant 3.0.3 software. By referring to the retention time and peak profile of the standard, chromatographic peaks of the analyte detected in different samples were integrated and corrected to ensure the accuracy of identification and quantification. The peak area ratios obtained from all detected samples were substituted into the standard curve linear equation for calculation, and further processed according to the designated formula to ultimately determine the content of the substance in the actual samples.
"],"study_factor":["Treatment"],"submitter_email":["zm19990418@163.com"],"sample_collection_protocol":["The mice were divided into four groups: Normal control group, Clostridioides difficile infection group, live Parabacteroides distasonis gavage group, and Parabacteroides distasonis supernatant gavage group. The live Parabacteroides distasonis gavage group received gavage with 10^8 CFU of live bacteria, while the supernatant gavage group received gavage with the supernatant of Parabacteroides distasonis. Cecal contents were collected from male C57BL/6 mice in the Animal Operating Room of the Second Hospital of Hebei Medical University. The sampling procedure was performed in March 2025. The cecal contents were placed into sterile cryovials and immediately stored at -80 °C.
"],"omics_type":["Metabolomics"],"study_design":["ultra-performance liquid chromatography-mass spectrometry","targeted metabolite profiling","microbiome"],"curator_keywords":["ultra-performance liquid chromatography-mass spectrometry","targeted metabolite profiling","microbiome"],"mass_spectrometry_protocol":["Tandem mass spectrometry (MS/MS) was performed using a QTRAP 6500+ system (https://sciex.com.cn/). The electrospray ionization (ESI) source temperature was set at 550 °C, with a spray voltage of -4500 V and a curtain gas (CUR) pressure of 35 psi. In the triple quadrupole mode, each ion pair was monitored with optimized declustering potential (DP) and collision energy (CE). MS data were acquired using Analyst 1.6.3 software.
A pooled sample was used as the quality control (QC). During instrumental analysis, one QC sample was typically injected after every 10 experimental samples. The stability of the instrument throughout the analytical sequence was assessed by overlaying the total ion chromatograms (TICs) of the repeated QC injections.
"],"metabolite_name":["cholic acid","apocholic acid","Ursocholic acid","Tauroursodeoxycholic acid","hyocholic acid","Dehydrocholic acid","Glycocholic acid","Glycochenodeoxycholic Acid 3 Sulfate Disodium Salt","Lithocholic acid","Ursodeoxycholic acid","Taurodeoxycholic acid","allocholic acid","α-muricholic acid","taurolithocholic acid-3-sulfate","Taurocholic acid","ω-muricholic acid","Glycochenodeoxycholic acid","Isodeoxycholic acid","Deoxycholic acid","taurolithocholic acid","Hyodeoxycholic acid","Taurohyocholic acid","isolithocholic acid","murideoxycholic acid","glycolithocholic acid-3-sulfate","Glycolithocholic acid","Glycodeoxycholic acid","Isochenodeoxycholic Acid","Chenodeoxycholic acid","Taurochenodeoxycholic acid","β-muricholic acid","3β-Ursodeoxycholic Acid"],"additional_accession":[]},"is_claimable":false,"name":"Parabacteroides distasonis alleviates Clostridioides difficile infection by reshaping bile acid metabolism and the gut microbiota","description":"The aim of this study was to establish a mouse model of Clostridioides difficile infection (CDI) and to investigate the effects of intervention with live Parabacteroides distasonis and its culture supernatant on the fecal bile acid pool using a targeted metabolomics approach. By quantitatively profiling fecal bile acid metabolites, we sought to characterize alterations in bile acid composition and abundance following different interventions in CDI mice, thereby providing metabolomic evidence for the potential role of P. distasonis in modulating host bile acid metabolism.
","dates":{"publication":"2026-02-04","submission":"2026-02-04"},"accession":"MTBLS13831","cross_references":{"KEGG":["C17726","C15517","C15557","C05466","C01921","C05464","C16868","C15559","C02592","C05463","C05122","C05465","C02528","C07880","C04483","C03990","C03642","C17658","C15515","C17662","C17660","C17661","C13154","C17644","C17727","C17647","C17649","C00695","C11301","C15516","C17737","C15375"]}}