ArticleJournal of virology2020
Suppression of Cytotoxic T Cell Functions and Decreased Levels of Tissue-Resident Memory T Cells during H5N1 Infection.
Article in Journal of virology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
11 citing papers in PubMed, 14 citations in OpenAlex.
- Influenza.Nature reviews. Disease primers · 2026Review
- An SP110-SP100 axis is a critical regulator of promyelocytic leukaemia body dynamics and mitotic fidelity.Nature cell biology · 2026Article
- Type I interferon autoantibody footprints reveal neutralizing mechanisms and allow inhibitory decoy design.The Journal of experimental medicine · 2025Article
- Transcriptional repressor Capicua is a gatekeeper of cell-intrinsic interferon responses.Cell host & microbe · 2025Article
- Effect of Inoculation Volume on a Mouse Model of Influenza Virus Infected with the Same Viral Load.Vaccines · 2025Article
- Avian influenza A viruses exhibit plasticity in sialylglycoconjugate receptor usage in human lung cells.Journal of virology · 2023Article
- Optimization and applications of an in vivo bioluminescence imaging model of influenza A virus infections.Virologica Sinica · 2023Article
- Review
- Reliability of Self-Sampling for Accurate Assessment of Respiratory Virus Viral and Immunologic Kinetics.The Journal of infectious diseases · 2022Article
- Expanding the tolerance of segmented Influenza A Virus genome using a balance compensation strategy.PLoS pathogens · 2022Article
- Reliability of self-sampling for accurate assessment of respiratory virus viral and immunologic kinetics.medRxiv : the preprint server for health sciences · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 3 institutions in 1 country.
Funding
Abstract
Seasonal influenza virus infections cause mild illness in healthy adults, as timely viral clearance is mediated by the functions of cytotoxic T cells. However, avian H5N1 influenza virus infections can result in prolonged and fatal illness across all age groups, which has been attributed to the overt and uncontrolled activation of host immune responses. Here, we investigate how excessive innate immune responses to H5N1 impair subsequent adaptive T cell responses in the lungs. Using recombinant H1N1 and H5N1 strains sharing 6 internal genes, we demonstrate that H5N1 (2:6) infection in mice causes higher stimulation and increased migration of lung dendritic cells to the draining lymph nodes, resulting in greater numbers of virus-specific T cells in the lungs. Despite robust T cell responses in the lungs, H5N1 (2:6)-infected mice showed inefficient and delayed viral clearance compared with H1N1-infected mice. In addition, we observed higher levels of inhibitory signals, including increased PD-1 and interleukin-10 (IL-10) expression by cytotoxic T cells in H5N1 (2:6)-infected mice, suggesting that delayed viral clearance of H5N1 (2:6) was due to the suppression of T cell functions
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.