Unknown

Dataset Information

0

Comparative lipidomics of azole sensitive and resistant clinical isolates of Candida albicans reveals unexpected diversity in molecular lipid imprints.


ABSTRACT: Although transcriptome and proteome approaches have been applied to determine the regulatory circuitry behind multidrug resistance (MDR) in Candida, its lipidome remains poorly characterized. Lipids do acclimatize to the development of MDR in Candida, but exactly how the acclimatization is achieved is poorly understood. In the present study, we have used a high-throughput mass spectrometry-based shotgun approach and analyzed the lipidome of genetically matched clinical azole-sensitive (AS) and -resistant (AR) isolates of C. albicans. By comparing the lipid profiling of matched isolates, we have identified major classes of lipids and determined more than 200 individual molecular lipid species among these major classes. The lipidome analysis has been statistically validated by principal component analysis. Although each AR isolate was similar with regard to displaying a high MIC to drugs, they had a distinct lipid imprint. There were some significant commonalities in the lipid profiles of these pairs, including molecular lipid species ranging from monounsaturated to polyunsaturated fatty acid-containing phosphoglycerides. Consistent fluctuation in phosphatidyl serine, mannosylinositolphosphorylceramides, and sterol esters levels indicated their compensatory role in maintaining lipid homeostasis among most AR isolates. Notably, overexpression of either CaCdr1p or CaMdr1p efflux pump proteins led to a different lipidomic response among AR isolates. This study clearly establishes the versatility of lipid metabolism in handling azole stress among various matched AR isolates. This comprehensive lipidomic approach will serve as a resource for assessing strategies aimed at disrupting the functions of Candida lipids, particularly the functional interactions between lipids and MDR determinants.

SUBMITTER: Singh A 

PROVIDER: S-EPMC3084813 | BioStudies | 2011-01-01

REPOSITORIES: biostudies

Similar Datasets

2012-01-01 | S-EPMC3384591 | BioStudies
2017-01-01 | S-EPMC5602786 | BioStudies
1000-01-01 | S-EPMC5339821 | BioStudies
2017-08-01 | GSE76858 | GEO
1000-01-01 | S-EPMC5382705 | BioStudies
1000-01-01 | S-EPMC3567621 | BioStudies
2016-01-01 | S-EPMC4906355 | BioStudies
2018-01-01 | S-EPMC6137561 | BioStudies
2020-01-01 | S-EPMC7297320 | BioStudies
2020-01-01 | S-EPMC7767002 | BioStudies