Evidence map›Paper›PMID 32981324›Full record

ArticleJournal of proteome research2020

Age-Dependent Glycomic Response to the 2009 Pandemic H1N1 Influenza Virus and Its Association with Disease Severity.

Shuhui Chen, Brian Kasper, Bin Zhang, Lauren P Lashua, Ted M Ross, Elodie Ghedin, Lara K Mahal

Open access · greenAbstract read
In one paragraph

Article in Journal of proteome research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.7field-weighted citation impact, top 14% 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

10 citing papers in PubMed, 17 citations in OpenAlex.

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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

7 authors at 5 institutions in 2 countries.

Shuhui ChenBiomedical Research Institute, Department of Chemistry, New York University, New York, New York 10003, United States.
Brian KasperBiomedical Research Institute, Department of Chemistry, New York University, New York, New York 10003, United States.
Bin ZhangDepartment of Genetics and Genomic Sciences, Mount Sinai Center for Transformative Disease Modeling, Icahn Institute of Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, New York 10029, United States.
Lauren P LashuaCenter for Genomics & Systems Biology, Department of Biology, New York University, New York, New York 10003, United States.
Ted M RossCenter for Vaccines and Immunology, University of Georgia, Athens, Georgia 30602, United States.
Elodie GhedinCenter for Genomics & Systems Biology, Department of Biology, New York University, New York, New York 10003, United States.
Lara K MahalBiomedical Research Institute, Department of Chemistry, New York University, New York, New York 10003, United States.ORCID 0000-0003-4791-8524
Biomedical Research Institute · USNew York University · USIcahn School of Medicine at Mount Sinai · USUniversity of Alberta · CAUniversity of Georgia · US

Funding

Omics-Based Predictive Modeling of Age-Dependent Outcome to Influenza InfectionU01AI111598 · NIAID · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI GHEDIN, ELODIE · 2013 to 2017
$13.3M
NIAID NIH HHS U01 AI111598
6 · The paper itself

Abstract

Influenza A viruses cause a spectrum of responses, from mild coldlike symptoms to severe respiratory illness and death. Intrinsic host factors, such as age, can influence disease severity. Glycosylation plays a critical role in influenza pathogenesis; however, the molecular drivers of influenza outcomes remain unknown. In this work, we characterized the host glycomic response to the H1N1 2009 pandemic influenza A virus (H1N1pdm09) as a function of age-dependent severity in a ferret model. Using our dual-color lectin microarray technology, we examined baseline glycosylation and glycomic response to infection in newly weaned and aged animals, models for young children and the elderly, respectively. Compared to adult uninfected ferrets, we observed higher levels of α-2,6-sialosides, the receptor for H1N1pdm09, in newly weaned and aged animals. We also observed age-dependent loss of O-linked α-2,3-sialosides. The loss of these highly charged groups may impact viral clearance by mucins, which corresponds to the lower clearance rates observed in aged animals. Upon infection, we observed dramatic changes in the glycomes of aged animals, a population severely impacted by the virus. In contrast, no significant alterations were observed in the newly weaned animals, which show mild to moderate responses to the H1N1pdm09. High mannose, a glycan recently identified as a marker of severity in adult animals, increased with severity in the aged population. However, the response was delayed, in line with the delayed development of pneumonia observed. Overall, our results may help explain the differential susceptibility to influenza A infection and severity observed as a function of age.

Indexed as

Influenza A virusInfluenza A Virus, H1N1 SubtypeInfluenza, HumanAgedAnimalsChildChild, PreschoolGlycomicsHumansSeverity of Illness IndexglycomicsH1N1high mannoseinfluenzalectin arraylectin microarray

Identifiers

PMID32981324
PMCPMC7640967
OpenAlexW3088583388

What OpenQuestion holds

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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.