Evidence map›Paper›PMID 33436912›Full record

ArticleScientific reports2021

Longitudinal saliva omics responses to immune perturbation: a case study.

George I Mias, Vikas Vikram Singh, Lavida R K Rogers, Shuyue Xue, Minzhang Zheng, Sergii Domanskyi, Masamitsu Kanada, Carlo Piermarocchi, Jin He

Open access · goldAbstract readCase Reports
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.5field-weighted citation impact, top 10% 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

12 citing papers in PubMed, 24 citations in OpenAlex.

  1. Article
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  5. Multi-Omics Profiling for Health.Molecular & cellular proteomics : MCP · 2023
    Review
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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

9 authors at 1 institution in 1 country.

George I MiasBiochemistry and Molecular Biology, Michigan State University, East Lansing, MI, 48824, USA. gmias@msu.edu.
Vikas Vikram SinghBiochemistry and Molecular Biology, Michigan State University, East Lansing, MI, 48824, USA.
Lavida R K RogersInstitute for Quantitative Health Science and Engineering, Michigan State University, East Lansing, MI, 48824, USA.
Shuyue XueInstitute for Quantitative Health Science and Engineering, Michigan State University, East Lansing, MI, 48824, USA.
Minzhang ZhengBiochemistry and Molecular Biology, Michigan State University, East Lansing, MI, 48824, USA.
Sergii DomanskyiPhysics and Astronomy, Michigan State University, East Lansing, MI, 48824, USA.
Masamitsu KanadaInstitute for Quantitative Health Science and Engineering, Michigan State University, East Lansing, MI, 48824, USA.
Carlo PiermarocchiPhysics and Astronomy, Michigan State University, East Lansing, MI, 48824, USA.
Jin HeBiochemistry and Molecular Biology, Michigan State University, East Lansing, MI, 48824, USA.
Michigan State University · US

Funding

Data-driven models of hematological cell fate decision and differentiationR01GM122085 · NIGMS · MICHIGAN STATE UNIVERSITY · PI PIERMAROCCHI, CARLO · 2016 to 2020
$1.8M
NIGMS NIH HHS R01 GM122085
6 · The paper itself

Abstract

Saliva omics has immense potential for non-invasive diagnostics, including monitoring very young or elderly populations, or individuals in remote locations. In this study, multiple saliva omics from an individual were monitored over three periods (100 timepoints) involving: (1) hourly sampling over 24 h without intervention, (2) hourly sampling over 24 h including immune system activation using the standard 23-valent pneumococcal polysaccharide vaccine, (3) daily sampling for 33 days profiling the post-vaccination response. At each timepoint total saliva transcriptome and proteome, and small RNA from salivary extracellular vesicles were profiled, including mRNA, miRNA, piRNA and bacterial RNA. The two 24-h periods were used in a paired analysis to remove daily variation and reveal vaccination responses. Over 18,000 omics longitudinal series had statistically significant temporal trends compared to a healthy baseline. Various immune response and regulation pathways were activated following vaccination, including interferon and cytokine signaling, and MHC antigen presentation. Immune response timeframes were concordant with innate and adaptive immunity development, and coincided with vaccination and reported fever. Overall, mRNA results appeared more specific and sensitive (timewise) to vaccination compared to other omics. The results suggest saliva omics can be consistently assessed for non-invasive personalized monitoring and immune response diagnostics.

Indexed as

AdultHumansImmunityLongitudinal StudiesMalePneumococcal InfectionsPneumococcal VaccinesProteomeSalivaSinusitisStreptococcus pneumoniaeTime FactorsTranscriptomeVaccination23-valent pneumococcal capsular polysaccharide vaccinePneumococcal VaccinesProteome

Identifiers

PMID33436912
PMCPMC7804305
OpenAlexW3120116114

What OpenQuestion holds

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LicenceCC BY
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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.