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Multiplexed LC‐MS/MS quantification of salivary RNA modifications in periodontitis

Overview of attention for article published in Journal of Periodontal Research, June 2023
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Article details
Title
Multiplexed LC‐MS/MS quantification of salivary RNA modifications in periodontitis
Published in
Journal of Periodontal Research, June 2023
DOI 10.1111/jre.13155
Pubmed ID
Authors
Abstract

To analyse the salivary epitranscriptomic profiles as periodontitis biomarkers using multiplexed mass spectrometry (MS). The field of epitranscriptomics, which relates to RNA chemical modifications, opens new perspectives in the discovery of diagnostic biomarkers, especially in periodontitis. Recently, the modified ribonucleoside N6-methyladenosine (m6A) was revealed as a crucial player in the etiopathogenesis of periodontitis. However, no epitranscriptomic biomarker has been identified in saliva to date. Twenty-four saliva samples were collected from periodontitis patients (n = 16) and from control subjects (n = 8). Periodontitis patients were stratified according to stage and grade. Salivary nucleosides were directly extracted and, in parallel, salivary RNA was digested into its constituent nucleosides. Nucleoside samples were then quantified by multiplexed MS. Twenty-seven free nucleosides were detected and an overlapping set of 12 nucleotides were detected in digested RNA. Among the free nucleosides, cytidine and three other modified nucleosides (inosine, queuosine and m6Am) were significantly altered in periodontitis patients. In digested RNA, only uridine was significantly higher in periodontitis patients. Importantly there was no correlation between free salivary nucleoside levels and the levels of those same nucleotides in digested salivary RNA, except for cytidine, m5C and uridine. This statement implies that the two detection methods are complementary. The high specificity and sensitivity of MS allowed the detection and quantification of multiple nucleosides from RNA and free nucleosides in saliva. Some ribonucleosides appear to be promising biomarkers of periodontitis. Our analytic pipeline opens new perspectives for diagnostic periodontitis biomarkers.

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The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 13 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 4 31%
Student > Doctoral Student 1 8%
Student > Master 1 8%
Unknown 7 54%
Readers by discipline
Readers by discipline Count As %
Medicine and Dentistry 2 15%
Agricultural and Biological Sciences 1 8%
Chemistry 1 8%
Unknown 9 69%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 24 June 2023.
All research outputs
#21,447,530
of 23,942,155 outputs
Outputs from Journal of Periodontal Research
#851
of 1,073 outputs
Outputs of similar age
#150,718
of 181,837 outputs
Outputs of similar age from Journal of Periodontal Research
#1
of 5 outputs
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