Metabolomics

Dataset Information

0

Host Metabolic Response in Early Lyme Disease


ABSTRACT: Lyme disease is a tick-borne bacterial illness that occurs in areas of North America, Europe, and Asia. Early infection typically presents as generalized symptoms with an erythema migrans (EM) skin lesion. Bacterial dissemination can result in multiple EM skin lesions or in extracutaneous manifestations such as Lyme neuroborreliosis. Metabolic biosignatures of patients with early Lyme disease can potentially provide diagnostic targets, as well as highlight metabolic pathways that contribute to pathogenesis. Sera from well-characterized patients diagnosed with either early localized Lyme disease (ELL) or early disseminated Lyme disease (EDL), plus healthy individuals (HC), from the United States were analyzed by liquid chromatography-mass spectrometry (LC-MS). Comparative analyses were performed between ELL, or EDL, or ELL combined with EDL, and the HC to develop biosignatures present in early Lyme disease. A direct comparison between ELL and EDL was also performed to develop a biosignature for stages of early Lyme disease. Metabolic pathway analysis and chemical identification of metabolites with LC-tandem mass spectrometry (LC-MS/MS) demonstrated alterations of eicosanoid, bile acid, sphingolipid, glycerophospholipid, and acylcarnitine metabolic pathways during early Lyme disease . These metabolic alterations were confirmed using a separate set of serum samples for validation. The findings demonstrated the metabolic pathways altered in the host during early Lyme disease and provide evidence that the diversity in the type of early Lyme disease manifestations may be associated with particular metabolic alterations.

ORGANISM(S): Human Homo Sapiens

TISSUE(S): Blood

DISEASE(S): Lyme Disease

SUBMITTER: John Belisle  

PROVIDER: ST001223 | MetabolomicsWorkbench | Tue Jul 02 00:00:00 BST 2019

REPOSITORIES: MetabolomicsWorkbench

Dataset's files

Source:
Action DRS
mwtab Other
Items per page:
1 - 1 of 1

Similar Datasets

2024-11-13 | GSE270479 | GEO
2015-01-23 | E-GEOD-65220 | biostudies-arrayexpress
2010-07-30 | E-GEOD-22196 | biostudies-arrayexpress
2018-10-01 | GSE120548 | GEO
2024-02-23 | GSE255519 | GEO
2024-01-10 | GSE222573 | GEO
2023-04-10 | GSE227329 | GEO
2015-01-23 | GSE65220 | GEO
2015-08-31 | E-GEOD-68789 | biostudies-arrayexpress
2010-07-01 | GSE22196 | GEO