Dataset: analysis of the association between fatigue and the plasma lipidomic profile of inflammatory bowel disease patients

Inflammatory bowel disease (IBD) is a chronic, relapsing non-infectious inflammatory condition of the intestinal tract with two main phenotypes -ulcerative colitis (UC) and Crohn disease (CD)- and a globally increasing incidence and prevalence. Nearly 80% of the IBD patients with active disease and 50% of those with inactive disease suffer fatigue with significant impairment of their quality of life. Fatigue has been associated with multiple factors in IBD patients but, in most cases, no direct cause can be identified and risk factors in clinically quiescent IBD are contradictory. Furthermore, as the assessment of fatigue is subjective, there is an unmet clinical need for fatigue biomarkers. In this study, we analyzed the plasma lipidomic profile of 47 quiescent UC and CD patients (23 fatigued, 24 non-fatigued) by UPLC-TOFMS, and identified a statistically significant lipid phenotype associated to fatigue in IBD. Significantly decreased levels of phosphatidylcholines, plasmanyls, sphingomyelins, lysophosphatidylcholines, phosphatidylethanolamines, phosphatidylinositols, phosphatidylserines, and eicosanoids were observed in patients with fatigue. Network and metabolic pathway analysis indicated a dysregulation of the arachidonic acid and glycerophospholipid metabolisms, and the sphingolipid pathway. The protein–metabolite interaction network showed interactions between functionally related metabolites and proteins, displaying 40 disease-associated hidden proteins including ABDH4, GLTP, and LCAT.

Here, metadata, raw LC-MS and LC-MS/MS data (as .mzxml and .ms2 files), the peak tables generated using XCMS-CAMERA (as .csv files), the curated and annotated peak table (as .csv and .mat files), as well as the network of protein-protein and protein-metabolite interactions inferred by PIUMet (as .html file) used or generated in this study, are available.