Evidence map›Paper›PMID 39759277›Full record

ArticleHeliyon2024

Technical considerations regarding saliva sample collection to achieve comparable protein identification and detection via one- and two-dimensional gel electrophoresis among humans.

Szabolcs Maar, Lilla Czuni, Jørgen Kosberg Hassve, Aniko Takatsy, Szilard Rendeki, Tibor Mintal, Ferenc Gallyas, Ildiko Bock-Marquette

Abstract read
In one paragraph

Article in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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

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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

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Szabolcs MaarDepartment of Biochemistry and Medical Chemistry, University of Pecs, Medical School, Pecs, Hungary.
Lilla CzuniSzentagothai Research Centre, Research Group of Regenerative Science, Sport and Medicine, University of Pecs, Pecs, Hungary.
Jørgen Kosberg HassveDepartment of Biochemistry and Medical Chemistry, University of Pecs, Medical School, Pecs, Hungary.
Aniko TakatsyDepartment of Biochemistry and Medical Chemistry, University of Pecs, Medical School, Pecs, Hungary.
Szilard RendekiDepartment of Anesthesiology and Intensive Therapy, University of Pecs, Medical School Pecs, Hungary.
Tibor MintalDepartment of Orthopedics, University of Pecs, Medical School, Pecs, Hungary.
Ferenc GallyasDepartment of Biochemistry and Medical Chemistry, University of Pecs, Medical School, Pecs, Hungary.
Ildiko Bock-MarquetteDepartment of Biochemistry and Medical Chemistry, University of Pecs, Medical School, Pecs, Hungary.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and aims: Recently, demands towards identifying various molecules in support of stress detection and potential clinical utilization are dramatically increasing. Moreover, the accuracy with which researchers quantify these informative molecules is now far more improved when compared to the past. As RNA or protein markers are conventionally detected via repeated invasive procedures from blood, it is critical to develop secure technologies to obtain the desired information via less stressful methodologies, such as saliva collection. Moreover, for superb interpretation, it became equally significant to obtain the information from the same exact specimen. RNA is easily degradable, thus it is paramount to supplement the samples with protective agents, such as RNAlater, to achieve accurate quantitative results. Methods: In our research we investigated whether and how this commonly applied RNA protection procedure influences protein and peptide separation of the human saliva via quantitative two-dimensional protein electrophoresis. Results: Our results revealed, in contrary to previously published data regarding plasma, the addition of RNAlater to saliva samples negatively influences isoelectric focusing and protein detection. We equally found the application oftentimes employed referred to as selective precipitation and reduction-alkylation, partially rescued separation, however, with a significant loss in protein yield and quality when compared to untreated samples. Conclusion: Our results suggest collection of human saliva for biomarker identification must be performed with extreme diligence. We propose application of RNAlater should be avoided and snap freezing of the collected saliva is recommended when joint protein and RNA quantification is the ultimate goal.

Indexed as

Biomarker analysisHuman salivaRNA protectionTwo-dimensional protein electrophoresis

Identifiers

PMID39759277
PMCPMC11696668

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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.