MetaboLights

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ftp://ftp.ebi.ac.uk/pub/databases/metabolights/studies/public/MTBLS14113/m_MTBLS14113_LC-MS_negative_reverse-phase_metabolite_profiling_v2_maf.tsvftp://ftp.ebi.ac.uk/pub/databases/metabolights/studies/public/MTBLS14113/m_MTBLS14113_LC-MS_positive_reverse-phase_metabolite_profiling_v2_maf.tsvftp://ftp.ebi.ac.uk/pub/databases/metabolights/studies/public/MTBLS14113/s_MTBLS14113.txtftp://ftp.ebi.ac.uk/pub/databases/metabolights/studies/public/MTBLS14113/a_MTBLS14113_LC-MS_negative_reverse-phase_metabolite_profiling.txtftp://ftp.ebi.ac.uk/pub/databases/metabolights/studies/public/MTBLS14113/i_Investigation.txtftp://ftp.ebi.ac.uk/pub/databases/metabolights/studies/public/MTBLS14113/a_MTBLS14113_LC-MS_positive_reverse-phase_metabolite_profiling.txtprimaryOK200ftp://ftp.ebi.ac.uk/pub/databases/metabolights/studies/public/MTBLS14113Metabolite identification was performed using Compound Discoverer 3.1 by matching accurate mass (MS1), retention time, and MS/MS fragmentation spectra against multiple databases, including the BMDB Library (BGI Metabolome Database), mzCloud (high-resolution tandem mass spectrometry cloud database), and ChemSpider (integrated with HMDB, KEGG, and LipidMaps databases). Identification parameters were as follows: precursor mass tolerance < 5 ppm, fragment mass tolerance < 10 ppm, and retention time tolerance < 0.2 min. Metabolites were annotated with KEGG pathway information using the metaX pipeline and the KEGG database (www.genome.jp/kegg). Annotation confidence levels were assigned according to the Metabolomics Standards Initiative (MSI): Level 1 (confirmed by reference standard), Level 2 (putative structure based on MS/MS spectral match), Level 3 (putative compound class), and Level 4 (unknown, accurate mass only).MetaboLightsPublicLiquid Chromatography MS - negative - reverse-phaseLiquid Chromatography MS - positive - reverse-phaseChromatographic separations were performed on a Waters 2D Ultra Performance Liquid Chromatography (UPLC) system (Waters, USA). The column used was an ACQUITY UPLC BEH C18 column (1.7 μm, 2.1 × 100 mm, Waters, USA), maintained at a column temperature of 45 °C. The mobile phase consisted of 0.1% formic acid in water (A) and acetonitrile (B). The flow rate was 0.35 mL/min, and the injection volume was 5 μL. The gradient program was as follows: 0–1 min, 2% B; 1–9 min, 2–98% B; 9–12 min, 98% B; 12–12.1 min, 98–2% B; 12.1–15 min, 2% B.Effects of dietary Hermetia illucens oil on rumen and serum metabolome profiles in lactating dairy cows.City University of Hong KongGuanglei Liublood serummass spectrometry assaySerum samples were thawed on ice at 4 °C. For each sample, 800 μL of ice-cold extraction solvent (methanol:acetonitrile:water, 2:2:1, v/v/v) containing internal standards (IS1 and IS2) was added. The mixture was vortexed for 30 s and centrifuged at 13,000 × g for 15 min at 4 °C to precipitate proteins. The supernatant was transferred and subjected to further metabolite extraction by homogenization using a TissueLyser (JXFSTPRP, China) for 5 min, followed by sonication in an ice-water bath for 10 min and incubation at −20 °C for 1 h. After centrifugation at 25,000 × g for 15 min at 4 °C, the supernatant was collected, lyophilized, and reconstituted in 200 μL of 10% methanol. The final extract was sonicated for 10 min at 4 °C, centrifuged at 25,000 × g for 15 min, and transferred to LC-MS vials for analysis.A pooled quality control (QC) sample was prepared by mixing equal volumes of each sample to assess the reproducibility of the LC-MS analysis throughout the run. QC samples were injected at regular intervals (every 10 samples) to monitor instrument stability and batch effects. The internal standard mix contained L-Leucine-d3, L-Phenylalanine (13C9, 99%), L-Tryptophan-d5, and Progesterone-2,3,4-13C3. A blank sample (extraction solvent without biological sample) was processed and analyzed to monitor potential contaminants and system background.Bos taurushttps://www.ebi.ac.uk/metabolights/MTBLS14113Manuela Renna. Department of Veterinary Sciences, University of Turin, L.go P. Braccini 2, 10095 Grugliasco (TO), Italy. Department of Veterinary Sciences, University of Turin, L.go P. Braccini 2, 10095 Grugliasco (TO), Italy. manuela.renna@unito.it.Mauro Coppa. Department of Agricultural, Forest and Food Sciences, University of Turin, L.go P. Braccini 2, 10095 Grugliasco (TO), Italy. Department of Agricultural, Forest and Food Sciences, University of Turin, L.go P. Braccini 2, 10095 Grugliasco (TO), Italy. mauro@coppanet.it.Laura Gasco.Ákos Kenéz. Department of Infectious Diseases and Public Health, Jockey Club College of Veterinary Medicine and Life Sciences, City University of Hong Kong, Hong Kong SAR, China. Department of Infectious Diseases and Public Health, Jockey Club College of Veterinary Medicine and Life Sciences, City University of Hong Kong, Hong Kong SAR, China. akos.kenez@cityu.edu.hk.Lara Rastello. Department of Veterinary Sciences, University of Turin, L.go P. Braccini 2, 10095 Grugliasco (TO), Italy. Department of Veterinary Sciences, University of Turin, L.go P. Braccini 2, 10095 Grugliasco (TO), Italy. lara.rastello@unito.it.Mathieu Gerbelle. Institut Agricole Régional, Regione La Rochère 1/A, 11100 Aosta (AO), Italy. Institut Agricole Régional, Regione La Rochère 1/A, 11100 Aosta (AO), Italy.Guanglei Liu. Jockey Club College of Veterinary Medicine and Life Sciences, City University of Hong Kong, Hong Kong SAR, China. City University of Hong Kong. Tat Chee Avenue. Kowloon Tong. e804289119@gmail.com.Raw data files (.raw) were processed using Compound Discoverer 3.1 software (Thermo Fisher Scientific, USA). Data processing steps included peak extraction, retention time correction (within and between groups), adduct ion grouping, missing value filling, background peak labeling, and metabolite identification. After Compound Discoverer processing, the exported data were further preprocessed using the in-house metabolomics R package metaX. Preprocessing steps included normalization using Probabilistic Quotient Normalization (PQN) to obtain relative peak areas, batch effect correction using QC-RLSC (Quality Control-based Robust LOESS Signal Correction), and filtering of compounds with coefficient of variation (CV) > 30% in QC samples.Treatmente804289119@gmail.comSerum samples were collected from lactating dairy cows (Bos taurus, Valdostana Red Pied breed) enrolled in a dietary intervention study comparing the effects of fractionated palm oil (FPO) and Hermetia illucens oil (HIO) supplementation. Samples were collected at two time points: day 0 (baseline, prior to dietary intervention) and day 50 (end of the trial). Blood samples were collected from the jugular vein using 10 mL vacuum tubes without anticoagulant (Venosafe®, Terumo Corporation, Tokyo, Japan) before the morning milking and feeding. Immediately after collection, samples were transported to the laboratory and centrifuged at 2,500 × g for 10 min at room temperature to obtain serum. The serum was then aliquoted and stored at −80 °C until metabolomics analysis.MetabolomicsSerumCowuntargeted metabolite profilingSerumCowuntargeted metabolite profilingRaw data files (.raw) were processed using Compound Discoverer 3.1 software (Thermo Fisher Scientific, USA). Data processing steps included peak extraction, retention time correction (within and between groups), adduct ion grouping, missing value filling, background peak labeling, and metabolite identification. After Compound Discoverer processing, the exported data were further preprocessed using the in-house metabolomics R package metaX. Preprocessing steps included normalization using Probabilistic Quotient Normalization (PQN) to obtain relative peak areas, batch effect correction using QC-RLSC (Quality Control-based Robust LOESS Signal Correction), and filtering of compounds with coefficient of variation (CV) > 30% in QC samples.falseEffects of dietary Hermetia illucens oil on rumen and serum metabolome profiles in lactating dairy cowsThe metabolomics study was designed to investigate the effects of feeding cows with Hermetia illucens larvae oil on serum profiles.2026-03-242026-03-23MTBLS14113