tetano
Editor, Senior Moderator
Front Immunol
. 2024 Aug 13:15:1385362.
doi: 10.3389/fimmu.2024.1385362. eCollection 2024. Host response to influenza infections in human blood: association of influenza severity with host genetics and transcriptomic response
Klaus Schughart[SUP] 1 2 [/SUP], Amber M Smith[SUP] 2 3 [/SUP], Ephraim L Tsalik[SUP] 4 [/SUP], Stephen C Threlkeld[SUP] 5 [/SUP], Subhashini Sellers[SUP] 6 [/SUP], William A Fischer 2nd[SUP] 6 [/SUP], Jens Schreiber[SUP] 7 [/SUP], Eva Lücke[SUP] 7 [/SUP], Markus Cornberg[SUP] 8 9 10 11 [/SUP], Jennifer Debarry[SUP] 8 11 [/SUP], Christopher W Woods[SUP] 4 12 [/SUP], Micah T McClain[SUP] 4 12 [/SUP], Mark Heise[SUP] 13 14 [/SUP]
Affiliations
Introduction: Influenza virus infections are a major global health problem. Influenza can result in mild/moderate disease or progress to more severe disease, leading to high morbidity and mortality. Severity is thought to be primarily driven by immunopathology, but predicting which individuals are at a higher risk of being hospitalized warrants investigation into host genetics and the molecular signatures of the host response during influenza infections.
Methods: Here, we performed transcriptome and genotype analysis in healthy controls and patients exhibiting mild/moderate or severe influenza (ICU patients). A unique aspect of our study was the genotyping of all participants, which allowed us to assign ethnicities based on genetic variation and assess whether the variation was correlated with expression levels.
Results: We identified 169 differentially expressed genes and related molecular pathways between patients in the ICU and those who were not in the ICU. The transcriptome/genotype association analysis identified 871 genes associated to a genetic variant and 39 genes distinct between African-Americans and Caucasians. We also investigated the effects of age and sex and found only a few discernible gene effects in our cohort.
Discussion: Together, our results highlight select risk factors that may contribute to an increased risk of ICU admission for influenza-infected patients. This should help to develop better diagnostic tools based on molecular signatures, in addition to a better understanding of the biological processes in the host response to influenza.
Keywords: DEGs; QTLs; genotype; human; influenza; transcriptome.
. 2024 Aug 13:15:1385362.
doi: 10.3389/fimmu.2024.1385362. eCollection 2024. Host response to influenza infections in human blood: association of influenza severity with host genetics and transcriptomic response
Klaus Schughart[SUP] 1 2 [/SUP], Amber M Smith[SUP] 2 3 [/SUP], Ephraim L Tsalik[SUP] 4 [/SUP], Stephen C Threlkeld[SUP] 5 [/SUP], Subhashini Sellers[SUP] 6 [/SUP], William A Fischer 2nd[SUP] 6 [/SUP], Jens Schreiber[SUP] 7 [/SUP], Eva Lücke[SUP] 7 [/SUP], Markus Cornberg[SUP] 8 9 10 11 [/SUP], Jennifer Debarry[SUP] 8 11 [/SUP], Christopher W Woods[SUP] 4 12 [/SUP], Micah T McClain[SUP] 4 12 [/SUP], Mark Heise[SUP] 13 14 [/SUP]
Affiliations
- PMID: 39192977
- PMCID: PMC11347429
- DOI: 10.3389/fimmu.2024.1385362
Introduction: Influenza virus infections are a major global health problem. Influenza can result in mild/moderate disease or progress to more severe disease, leading to high morbidity and mortality. Severity is thought to be primarily driven by immunopathology, but predicting which individuals are at a higher risk of being hospitalized warrants investigation into host genetics and the molecular signatures of the host response during influenza infections.
Methods: Here, we performed transcriptome and genotype analysis in healthy controls and patients exhibiting mild/moderate or severe influenza (ICU patients). A unique aspect of our study was the genotyping of all participants, which allowed us to assign ethnicities based on genetic variation and assess whether the variation was correlated with expression levels.
Results: We identified 169 differentially expressed genes and related molecular pathways between patients in the ICU and those who were not in the ICU. The transcriptome/genotype association analysis identified 871 genes associated to a genetic variant and 39 genes distinct between African-Americans and Caucasians. We also investigated the effects of age and sex and found only a few discernible gene effects in our cohort.
Discussion: Together, our results highlight select risk factors that may contribute to an increased risk of ICU admission for influenza-infected patients. This should help to develop better diagnostic tools based on molecular signatures, in addition to a better understanding of the biological processes in the host response to influenza.
Keywords: DEGs; QTLs; genotype; human; influenza; transcriptome.