Evidence map›Paper›PMID 36366577›Full record

ArticleViruses2022

Proteomic Signatures of the Serological Response to Influenza Vaccination in a Large Human Cohort Study.

Shaohuan Wu, Smruti Pushalkar, Shuvadeep Maity, Matthew Pressler, Justin Rendleman, Burcu Vitrinel, Michael Carlock, Ted Ross, Hyungwon Choi, Christine Vogel

Open access · goldAbstract read
In one paragraph

Article in Viruses, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.8field-weighted citation impact, top 28% 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

4 citing papers in PubMed, 5 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Article
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

10 authors at 4 institutions in 3 countries.

Shaohuan WuCenter for Genomics and Systems Biology, New York University, New York, NY 10003, USA.
Smruti PushalkarCenter for Genomics and Systems Biology, New York University, New York, NY 10003, USA.ORCID 0000-0001-7215-0671
Shuvadeep MaityCenter for Genomics and Systems Biology, New York University, New York, NY 10003, USA.ORCID 0000-0002-6031-4744
Matthew PresslerCenter for Genomics and Systems Biology, New York University, New York, NY 10003, USA.
Justin RendlemanCenter for Genomics and Systems Biology, New York University, New York, NY 10003, USA.
Burcu VitrinelCenter for Genomics and Systems Biology, New York University, New York, NY 10003, USA.
Michael CarlockDepartment of Infectious Diseases, College of Veterinary Medicine, University of Georgia, Athens, GA 30602, USA.
Ted RossDepartment of Infectious Diseases, College of Veterinary Medicine, University of Georgia, Athens, GA 30602, USA.ORCID 0000-0003-1947-7469
Hyungwon ChoiDepartment of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 117599, Singapore.ORCID 0000-0002-6687-3088
Christine VogelCenter for Genomics and Systems Biology, New York University, New York, NY 10003, USA.ORCID 0000-0002-2856-3118
New York University · USUniversity of Georgia · USBirla Institute of Technology and Science - Hyderabad Campus · INNational University of Singapore · SG

Funding

Implementing a Maternal health and PRegnancy Outcomes Vision for Everyone (IMPROVE)UL1TR002378 · NCATS · EMORY UNIVERSITY · PI Andres J Garcia, Elizabeth O. Ofili · 2017 to 2026
$92.1M
Next generation gene expression analysisR35GM127089 · NIGMS · NEW YORK UNIVERSITY · PI Christine Vogel · 2018 to 2026
$4.0M
NIGMS NIH HHS R35 GM127089NIH HHS 75N93019C00052/NH/NIH HHS/United StatesNIH HHS R35GM127089NIH HHS UL1TR002378
6 · The paper itself

Abstract

The serological response to the influenza virus vaccine is highly heterogeneous for reasons that are not entirely clear. While the impact of demographic factors such as age, body mass index (BMI), sex, prior vaccination and titer levels are known to impact seroconversion, they only explain a fraction of the response. To identify signatures of the vaccine response, we analyzed 273 protein levels from 138 serum samples of influenza vaccine recipients (2019-2020 season). We found that levels of proteins functioning in cholesterol transport were positively associated with seroconversion, likely linking to the known impact of BMI. When adjusting seroconversion for the demographic factors, we identified additional, unexpected signatures: proteins regulating actin cytoskeleton dynamics were significantly elevated in participants with high adjusted seroconversion. Viral strain specific analysis showed that this trend was largely driven by the H3N2 strain. Further, we identified complex associations between adjusted seroconversion and other factors: levels of proteins of the complement system associated positively with adjusted seroconversion in younger participants, while they were associated negatively in the older population. We observed the opposite trends for proteins of high density lipoprotein remodeling, transcription, and hemostasis. In sum, careful integrative modeling can extract new signatures of seroconversion from highly variable data that suggest links between the humoral response as well as immune cell communication and migration.

Indexed as

Influenza A Virus, H1N1 SubtypeInfluenza, HumanInfluenza VaccinesAntibodies, ViralCohort StudiesHemagglutination Inhibition TestsHumansInfluenza A Virus, H3N2 SubtypeProteomicsVaccinationAntibodies, ViralInfluenza Vaccinescohort analysesinfluenza vaccinationseroconversionserological responseserum proteomics

Identifiers

PMID36366577
PMCPMC9696600
OpenAlexW4308870746

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.