ArticleGenome medicine2018
KLRD1-expressing natural killer cells predict influenza susceptibility.
Article in Genome medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers.
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Who cites it
52 citing papers in PubMed, 74 citations in OpenAlex.
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- Resolving the developmental mechanisms of cardiac microthrombosis of SARS-CoV-2 based on single-cell transcriptome analysis.Science China. Life sciences · 2025Article
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- Characterizing the cellular and molecular variabilities of peripheral immune cells in healthy recipients of BBIBP-CorV inactivated SARS-CoV-2 vaccine by single-cell RNA sequencing.Emerging microbes & infections · 2023Article
- Natural killer cells and their exosomes in viral infections and related therapeutic approaches: where are we?Cell communication and signaling : CCS · 2023Review
- Baseline innate and T cell populations are correlates of protection against symptomatic influenza virus infection independent of serology.Nature immunology · 2023Article
- Gene Expression in Cord Blood and Tuberculosis in Early Childhood: A Nested Case-Control Study in a South African Birth Cohort.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2023Article
- Cysteine-rich intestinal protein 1 is a novel surface marker for human myometrial stem/progenitor cells.Communications biology · 2023Article
- Genetic landscape and immune mechanism of monocytes associated with the progression of acute-on-chronic liver failure.Hepatology international · 2023Article
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- Article
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Authors and funding
4 authors at 2 institutions in 1 country.
Funding
Abstract
backgroundInfluenza infects tens of millions of people every year in the USA. Other than notable risk groups, such as children and the elderly, it is difficult to predict what subpopulations are at higher risk of infection. Viral challenge studies, where healthy human volunteers are inoculated with live influenza virus, provide a unique opportunity to study infection susceptibility. Biomarkers predicting influenza susceptibility would be useful for identifying risk groups and designing vaccines.
methodsWe applied cell mixture deconvolution to estimate immune cell proportions from whole blood transcriptome data in four independent influenza challenge studies. We compared immune cell proportions in the blood between symptomatic shedders and asymptomatic nonshedders across three discovery cohorts prior to influenza inoculation and tested results in a held-out validation challenge cohort.
resultsNatural killer (NK) cells were significantly lower in symptomatic shedders at baseline in both discovery and validation cohorts. Hematopoietic stem and progenitor cells (HSPCs) were higher in symptomatic shedders at baseline in discovery cohorts. Although the HSPCs were higher in symptomatic shedders in the validation cohort, the increase was statistically nonsignificant. We observed that a gene associated with NK cells, KLRD1, which encodes CD94, was expressed at lower levels in symptomatic shedders at baseline in discovery and validation cohorts. KLRD1 expression in the blood at baseline negatively correlated with influenza infection symptom severity. KLRD1 expression 8 h post-infection in the nasal epithelium from a rhinovirus challenge study also negatively correlated with symptom severity.
conclusionsWe identified KLRD1-expressing NK cells as a potential biomarker for influenza susceptibility. Expression of KLRD1 was inversely correlated with symptom severity. Our results support a model where an early response by KLRD1-expressing NK cells may control influenza infection.
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