PXD059894-1

PXD059894 is an original dataset announced via ProteomeXchange.

Title	FIbromyalgia diagnosis from a multiomics approach: a gut feeling
Description	Fibromyalgia is a complex disorder whose main symptoms are chronic widespread pain and fatigue, and affects between 0.2 and 6.6% of the world population. Nowadays, there are no molecular biomarkers which could facilitate diagnosis, underlining the extreme necessity of basic research on this chronic disorder. The latest efforts by the researchers have focused on studying problems at the level of central nervous system sensitivity, inflammatory and oxidative disorders, and even imbalances related to the intestinal microbiota. A total of 892 women were initially enrolled in the study. For those fulfilling inclusion criteria, a plasma proteome analysis in blood samples was conducted. Briefly, blood was collected, centrifuged and analyzed by liquid nano-chromatography coupled to tandem mass spectrometry. After the raw data analysis, proteins with statistically significant differential abundance and a fold change over 1.2 (20% increase in fibromyalgia compared with control samples) or under 0.8 (20% decrease in fibromyalgia compared with control samples) in fibromyalgia were selected. For fecal metagenome analysis, fecal samples were collected, homogenized and processed for DNA extraction. Amplicon sequencing of V3–V4 regions from the 16S ribosomal RNA gene was performed using the Illumina MiSeq platform Quality control procedures were implemented using thresholds set at 50,000 reads per sample, Q30 Phred Score and an average trimmed read length of 280bp. The statistical analysis was conducted using R v4.3.2 base packages. After applying exclusion criteria, 242 women (199 patients and 43 age- and environmentally paired healthy individuals) provided plasma and feces samples, as well as properly filled health questionnaires. A total of 30 proteins and 19 taxa were differentially expressed in fibromyalgia patients, and its integration into an algorithm allows to discriminate cases and controls. The multiomic approach for biomarker discovery in this study propose a multifactorial connection between gut microbiota and mitochondria-derived oxidative stress and inflammation. Plasma and fecal multiomics analysis suggest an intricate and multifactorial connection between gut microbiota and mitochondria-derived oxidative stress and inflammation in FM patients, with glyceraldehyde-3-phosphate dehydrogenase and Streptococcus salivarius as leading actors.
HostingRepository	PRIDE
AnnounceDate	2025-09-18
AnnouncementXML	Submission_2025-09-18_03:04:18.266.xml
DigitalObjectIdentifier
ReviewLevel	Peer-reviewed dataset
DatasetOrigin	Original dataset
RepositorySupport	Unsupported dataset by repository
PrimarySubmitter	Rosa Gómez
SpeciesList	scientific name: Homo sapiens (Human); NCBI TaxID: 9606;
ModificationList	No PTMs are included in the dataset
Instrument	ultraflex

Revision	Datetime	Status	ChangeLog Entry
0	2025-01-16 12:52:47	ID requested
⏵ 1	2025-09-18 03:04:18	announced

Dataset with its publication pending

submitter keyword: Diagnostic, Mitochondria, Microbiome, Proteome,Fibromyalgia

Elena Durán González
contact affiliation	Pronacera Seville, Spain
contact email	e.duran@pronacera.com
lab head
Rosa Gómez
contact affiliation	Pronacera
contact email	rosagm@sinae.es
dataset submitter

Dataset FTP location NOTE: Most web browsers have now discontinued native support for FTP access within the browser window. But you can usually install another FTP app (we recommend FileZilla) and configure your browser to launch the external application when you click on this FTP link. Or otherwise, launch an app that supports FTP (like FileZilla) and use this address: ftp://ftp.pride.ebi.ac.uk/pride/data/archive/2025/09/PXD059894

PRIDE project URI

• PRIDE
  1. PXD059894
     1. Label: PRIDE project
     2. Name: FIbromyalgia diagnosis from a multiomics approach: a gut feeling