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Characterization of anaphylaxis reveals different metabolic changes depending on severity and triggers - MS (part-II)

ABSTRACT: Background: Despite its increasing incidence, the underlying molecular processes of anaphylaxis remain unclear and there are not known biomarkers for appropriate diagnosis. The mechanism associated to the reactions still needs to be clarified in humans. The rapid onset and potentially fatal outcome in the absence of managed treatment, prevent its study and prompt obvious technical and ethical implications. Methods: Twenty episodes of anaphylaxis were analyzed. Sera was collected at different times: during the acute phase (T1), the recovery phase (T2) and around 2-3 months after the anaphylactic reaction (T0). The analysis included untargeted metabolomics combining liquid chromatography coupled to mass spectrometry (LC-MS) and proton-nuclear magnetic resonance (1H-NMR). Reactions were classified according to the trigger (food and/or drug) and severity (moderate and severe). Results: “Food T1 vs T2” and “moderate T1 vs T2” anaphylaxis comparisons showed clear metabolic patterns during the onset of an anaphylactic reaction, which differed from those induced by drugs, food+drug or severe anaphylaxis “T1 vs T2”. Moreover, the model of food anaphylaxis was able to distinguish the well-characterized IgE (beta-lactam) from non-IgE- mediated anaphylaxis (NSAIDs), suggesting a differential metabolic pathway associated with the mechanism of action. Moreover, metabolic differences between “moderate vs severe” at T1 and T0 were studied. Among the metabolites, glucose, lipids, cortisol, betaine and oleamide were observed altered. Conclusions: The results of the study provide the first evidence that different anaphylactic triggers, induce differential metabolic changes. Besides, the basal status might identify high risk patients, thus opening new ways to understand, diagnose and treat anaphylaxis.

ORGANISM(S): Human Homo Sapiens

TISSUE(S): Blood

DISEASE(S): Allergy

SUBMITTER: David Obeso Montero

PROVIDER: ST001656 | MetabolomicsWorkbench | Fri Jan 15 00:00:00 GMT 2021

REPOSITORIES: MetabolomicsWorkbench

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Project description:To gain novel molecular insights into quantitative late blight resistance, we performed a high-resolution quantitative analysis of gene expression using potato cultivars with contrasting SNP alleles at the StAOS2 locus associated with maturity corrected resistance (MCR). SuperSAGE samples were generated from uninfected and infected plants of the selected genotypes under controlled environmental conditions. Genotypes were pooled to reduce the influence of the genetic background on the transcriptome. Nine SuperSAGE samples were prepared from artificially inoculated plants in a growth chamber using total RNA of the pooled 14, 6 and 9 genotypes in groups A1, A2 and B2, respectively, at three infection time points T0, T1 and T2. Combining the tag counts of both NlaIII and DpnII libraries resulted in 1.1 to 6.2 million tags per sample. Of total 266361 unique tags (unitags), 52.6% matched to the potato genome sequence when up to three mismatches per 26 base pairs were allowed, and 23.3% matched without mismatch. Fifteen pair wise comparisons were performed between the nine SuperSAGE samples to identify transcripts that were differentially expressed in response to infection (six comparisons) or between three genotype pools at the infection time points T0, T1 and T2 (nine comparisons). The number of unitags per comparison ranged from 127 000 to 182 000 (average 158 000). Between 2100 and 11800 tags were differentially expressed in pair wise comparisons, depending on arbitrary cut-off p-values for a significant difference. The highest number of differences was observed for the comparison between genotype pools A1 and A2 one day after infection (A1-T1 vs A2-T1), and the lowest between genotype pools A2 and B2 two days after infection (B2-T2 vs A2-T2). The number of differences in response to infection and between genotype pools even before infection (T0) was in the same order of magnitude. Based on the annotations in the DFCI potato gene index, in the potato genome and in few cases by BLASTX searches against the protein database at NCBI, transcripts that showed reproducible differential expression over the infection time course or between genotype pools A1, A2 and B2 were grouped in 16 functional categories, with overlaps between categories. Genes with genotype dependent, constitutive differential expression provide excellent targets for developing novel diagnostic markers for breeding cultivars with improved quantitative resistance to late blight and possibly other biotic and abiotic stresses. Relevant in this respect appear, besides numerous genes of unknown or ill-defined function, genes with known function involved in stress responses, photosynthesis, protein biosynthesis, protein degradation via the 26S proteasome, transport of proteins, lipids, ions and other small molecules, cell wall structure and many others.

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Characterization of anaphylaxis reveals different metabolic changes depending on severity and triggers - MS (part-II)

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