MassIVE MSV000100934

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Probiotics-Mediated Reduction of Inflammatory Gut-Bacteria Improves MASLD via Fecal Lipidome Remodeling

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Description

This dataset contains raw high-resolution mass spectrometry data from a randomized controlled trial evaluating probiotic supplementation in patients with metabolic dysfunction-associated steatotic liver disease (MASLD) (ClinicalTrials.gov Identifier: NCT04555434). Participants received placebo or probiotic capsules containing Pediococcus pentosaceus, Lactobacillus lactis, or Lactobacillus helveticus for 8 weeks. Fecal samples collected before and after intervention from participants with high medication adherence (at least 98%) were analyzed using untargeted metabolomic and lipidomic profiling. The data capture probiotic-associated alterations in fecal metabolites and lipid species related to gut-liver axis modulation and hepatic function. [doi:10.25345/C53J39F33] [dataset license: CC0 1.0 Universal (CC0 1.0)]

Keywords: MASLD ; Probiotics ; Lipidomics ; DatasetType:Metabolomics

Contact

Principal Investigators:
(in alphabetical order) 		Hyeon-Seong Lee, Korea Institute of Science and Technology;KIST, Republic of Korea
Submitting User: Hyeonseong
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Number of distinct conditions across all analyses (original submission and reanalyses) associated with this dataset.

Distinct condition labels are counted across all files submitted in the "Metadata" category having a "Condition" column in this dataset.

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Number of distinct biological replicates across all analyses (original submission and reanalyses) associated with this dataset.

Distinct replicate labels are counted across all files submitted in the "Metadata" category having a "BioReplicate" or "Replicate" column in this dataset.

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Number of distinct technical replicates across all analyses (original submission and reanalyses) associated with this dataset.

The technical replicate count is defined as the maximum number of times any one distinct combination of condition and biological replicate was analyzed across all files submitted in the "Metadata" category. In the case of fractionated experiments, only the first fraction is considered.

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Originally identified proteins that were automatically remapped by MassIVE to proteins in the SwissProt human reference database.

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Number of distinct protein accessions reported across all analyses (original submission and reanalyses) associated with this dataset.

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Number of distinct unmodified peptide sequences reported across all analyses (original submission and reanalyses) associated with this dataset.

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Number of distinct peptide sequences (including modified variants or peptidoforms) reported across all analyses (original submission and reanalyses) associated with this dataset.

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Total number of peptide-spectrum matches (i.e. spectrum identifications) reported across all analyses (original submission and reanalyses) associated with this dataset.

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Number of distinct proteins quantified across all analyses (original submission and reanalyses) associated with this dataset.

Distinct protein accessions are counted across all files submitted in the "Statistical Analysis of Quantified Analytes" category having a "Protein" column in this dataset.

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Number of distinct proteins found to be differentially abundant in at least one comparison across all analyses (original submission and reanalyses) associated with this dataset.

A protein is differentially abundant if its change in abundance across conditions is found to be statistically significant with an adjusted p-value <= 0.05 and lists no issues associated with statistical tests for differential abundance.

Distinct protein accessions are counted across all files submitted in the "Statistical Analysis of Quantified Analytes" category having a "Protein" column in this dataset.

"N/A" means no results of this type were submitted.
This dataset may not contain all raw spectra data as originally deposited in PRIDE. It has been imported to MassIVE for reanalysis purposes, so its spectra data here may consist solely of processed peak lists suitable for reanalysis with most software.