Evidence map›Paper›PMID 27088501›Full record

ArticlePloS one2016

Respiratory Mucosal Proteome Quantification in Human Influenza Infections.

Tony Marion, Husni Elbahesh, Paul G Thomas, John P DeVincenzo, Richard Webby, Klaus Schughart

Open access · goldAbstract readComparative Study
In one paragraph

Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
3.3field-weighted citation impact, top 8% of its field
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

20 citing papers in PubMed, 27 citations in OpenAlex.

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  14. Of mice and men: the host response to influenza virus infection.Mammalian genome : official journal of the International Mammalian Genome Society · 2018
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 2 institutions in 2 countries.

Tony MarionUniversity of Tennessee Health Science Center, Department of Microbiology, Immunology and Biochemistry, Memphis, United States of America.
Husni ElbaheshUniversity of Tennessee Health Science Center, Department of Microbiology, Immunology and Biochemistry, Memphis, United States of America.
Paul G ThomasDepartment of Immunology, St. Jude Children's Research Hospital, Memphis, United States of America.
John P DeVincenzoUniversity of Tennessee Health Science Center, Department of Microbiology, Immunology and Biochemistry, Memphis, United States of America.
Richard WebbyDepartment of Infectious Diseases, St Jude Children's Research Hospital, Memphis, United States of America.
Klaus SchughartUniversity of Tennessee Health Science Center, Department of Microbiology, Immunology and Biochemistry, Memphis, United States of America.
University of Tennessee Health Science Center · USSt. Jude Children's Research Hospital · US

Funding

NIAID NIH HHS HHSN266200700005CNIAID NIH HHS HHSN272201400006CPHS HHS HHSN266200700005CPHS HHS HHSN272201400006C
6 · The paper itself

Abstract

Respiratory influenza virus infections represent a serious threat to human health. Underlying medical conditions and genetic make-up predispose some influenza patients to more severe forms of disease. To date, only a few studies have been performed in patients to correlate a selected group of cytokines and chemokines with influenza infection. Therefore, we evaluated the potential of a novel multiplex micro-proteomics technology, SOMAscan, to quantify proteins in the respiratory mucosa of influenza A and B infected individuals. The analysis included but was not limited to quantification of cytokines and chemokines detected in previous studies. SOMAscan quantified more than 1,000 secreted proteins in small nasal wash volumes from infected and healthy individuals. Our results illustrate the utility of micro-proteomic technology for analysis of proteins in small volumes of respiratory mucosal samples. Furthermore, when we compared nasal wash samples from influenza-infected patients with viral load ≥ 2(8) and increased IL-6 and CXCL10 to healthy controls, we identified 162 differentially-expressed proteins between the two groups. This number greatly exceeds the number of DEPs identified in previous studies in human influenza patients. Most of the identified proteins were associated with the host immune response to infection, and changes in protein levels of 151 of the DEPs were significantly correlated with viral load. Most important, SOMAscan identified differentially expressed proteins heretofore not associated with respiratory influenza infection in humans. Our study is the first report for the use of SOMAscan to screen nasal secretions. It establishes a precedent for micro-proteomic quantification of proteins that reflect ongoing response to respiratory infection.

Indexed as

Case-Control StudiesHumansInfluenza A virusInfluenza, HumanNasal CavityProteomeProteomicsRespiratory MucosaViral LoadProteome

Identifiers

PMID27088501
PMCPMC4835085
OpenAlexW2336658398

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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 OpenQuestion graph.