Evidence map›Paper›PMID 28336724›Full record

ArticleMolecular & cellular proteomics : MCP2017

Quantitative Age-specific Variability of Plasma Proteins in Healthy Neonates, Children and Adults.

Stefan Bjelosevic, Dana Pascovici, Hui Ping, Vasiliki Karlaftis, Thiri Zaw, Xiaomin Song, Mark P Molloy, Paul Monagle, Vera Ignjatovic

Open access · hybridAbstract read
In one paragraph

Article in Molecular & cellular proteomics : MCP, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed
3.6field-weighted citation impact, top 7% 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

34 citing papers in PubMed, 56 citations in OpenAlex.

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  13. MMP-9 plasma level as biomarker of cochlear implantation outcome in cohort study of deaf children.European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery · 2023
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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 3 institutions in 1 country.

Stefan BjelosevicFrom the ‡Hematology Research Laboratory, Murdoch Childrens Research Institute, Melbourne, VIC 3052, Australia.ORCID 0000-0002-3012-9273
Dana Pascovici¶Australian Proteome Analysis Facility, Macquarie University, Sydney, NSW 2113, Australia.
Hui PingFrom the ‡Hematology Research Laboratory, Murdoch Childrens Research Institute, Melbourne, VIC 3052, Australia.
Vasiliki KarlaftisFrom the ‡Hematology Research Laboratory, Murdoch Childrens Research Institute, Melbourne, VIC 3052, Australia.
Thiri Zaw¶Australian Proteome Analysis Facility, Macquarie University, Sydney, NSW 2113, Australia.
Xiaomin Song¶Australian Proteome Analysis Facility, Macquarie University, Sydney, NSW 2113, Australia.
Mark P Molloy¶Australian Proteome Analysis Facility, Macquarie University, Sydney, NSW 2113, Australia.
Paul MonagleFrom the ‡Hematology Research Laboratory, Murdoch Childrens Research Institute, Melbourne, VIC 3052, Australia.
Vera IgnjatovicFrom the ‡Hematology Research Laboratory, Murdoch Childrens Research Institute, Melbourne, VIC 3052, Australia; vera.ignjatovic@mcri.edu.au.
Australian Hearing · AUThe University of Melbourne · AUMurdoch Children's Research Institute · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Human blood plasma is a complex biological fluid containing soluble proteins, sugars, hormones, electrolytes, and dissolved gasses. As plasma interacts with a wide array of bodily systems, changes in protein expression, or the presence or absence of specific proteins are regularly used in the clinic as a molecular biomarker tool. A large body of literature exists detailing proteomic changes in pathologic contexts, however little research has been conducted on the quantitation of the plasma proteome in age-specific, healthy subjects, especially in pediatrics. In this study, we utilized SWATH-MS to identify and quantify proteins in the blood plasma of healthy neonates, infants under 1 year of age, children between 1-5 years, and adults. We identified more than 100 proteins that showed significant differential expression levels across these age groups, and we analyzed variation in protein expression across the age spectrum. The plasma proteomic profiles of neonates were strikingly dissimilar to the older children and adults. By extracting the SWATH data against a large human spectral library we increased protein identification more than 6-fold (940 proteins) and confirmed the concentrations of several of these using ELISA. The results of this study map the variation in expression of proteins and pathways often implicated in disease, and so have significant clinical implication.

Indexed as

AdultAge FactorsAgingAnalysis of VarianceBlood ProteinsChildCluster AnalysisEnzyme-Linked Immunosorbent AssayFemaleHumansInfantInfant, NewbornMaleMass SpectrometryProteomeReproducibility of ResultsBlood ProteinsProteome

Identifiers

PMID28336724
PMCPMC5417830
OpenAlexW2597831678

What OpenQuestion holds

Textmetadata
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.