A human fecal metaproteomic dataset from celiac disease patients on gluten-free diet with or without poly-autoimmunity

This dataset provides the fecal metaproteome profiles of 28 celiac disease patients on a gluten-free diet, distinguished by the presence or absence of co-occurring autoimmune conditions. The resource includes raw liquid chromatography-tandem mass spectrometry (LC-MS/MS) files, database search results, protein/peptide identification outputs, and taxonomic/functional annotation outputs, along with comprehensive anthropometric, clinical, and dietary metadata for each patient. The identified proteins originate from microbial, human, and plant sources, consistent with the multi-database search strategy used. This collection is designed for reuse in meta-analyses and integrative studies exploring functional changes in the gut microbiome related to auto-immune status and dietary variables. The complete dataset is available via the ProteomeXchange Consortium with the identifier PXD069517.

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Publication Details

Journal
Data in Brief
Published
2026-01-22
DOI
https://doi.org/10.1016/j.dib.2026.112501
Primary Topic
Celiac Disease Research and Management
Type
article
Field-Weighted Citation Impact
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article

A human fecal metaproteomic dataset from celiac disease patients on gluten-free diet with or without poly-autoimmunity

Roberto Manetti, Rosangela Sau, Giovanni Mario Pes, Maria Pina Dore et al.
Data in Brief
Celiac Disease Research and Management
article

A human fecal metaproteomic dataset from celiac disease patients on gluten-free diet with or without poly-autoimmunity

Roberto Manetti, Rosangela Sau, Giovanni Mario Pes, Maria Pina Dore, Giovanna Pira, Alessandro Tanca, Alessandra Errigo, Marcello Abbondio, Stefano Bibbò, Sergio Uzzau
article en

Abstract

This dataset provides the fecal metaproteome profiles of 28 celiac disease patients on a gluten-free diet, distinguished by the presence or absence of co-occurring autoimmune conditions. The resource includes raw liquid chromatography-tandem mass spectrometry (LC-MS/MS) files, database search results, protein/peptide identification outputs, and taxonomic/functional annotation outputs, along with comprehensive anthropometric, clinical, and dietary metadata for each patient. The identified proteins originate from microbial, human, and plant sources, consistent with the multi-database search strategy used. This collection is designed for reuse in meta-analyses and integrative studies exploring functional changes in the gut microbiome related to auto-immune status and dietary variables. The complete dataset is available via the ProteomeXchange Consortium with the identifier PXD069517.

Data in BriefVol. 65
University of Sassari (IT), Baylor College of Medicine (US)
Openalex Percentile: Top 81%
Celiac Disease Research and Management
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