Evidence map›Paper›PMID 36292760›Full record

ArticleGenes2022

Confounding Factors Impacting microRNA Expression in Human Saliva: Methodological and Biological Considerations.

Rhea Sullivan, Austin Montgomery, Anna Scipioni, Pooja Jhaveri, Adam T Schmidt, Steven D Hicks

Open access · goldAbstract read
In one paragraph

Article in Genes, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
1.2field-weighted citation impact, top 21% 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

18 citing papers in PubMed, 1 synthesis or guideline pooled it, 17 citations in OpenAlex.

  1. Pooled it
  2. Review
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  10. Observational
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  17. Obtaining miRNA from Saliva-Comparison of Sampling and Purification Methods.International journal of molecular sciences · 2023
    Article
  18. 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

6 authors at 3 institutions in 1 country.

Rhea SullivanDepartment of Pediatrics, Penn State Hershey College of Medicine, Hershey, PA 17033, USA.ORCID 0000-0003-0725-6386
Austin MontgomeryDepartment of Pediatrics, Penn State Hershey College of Medicine, Hershey, PA 17033, USA.
Anna ScipioniDepartment of Pediatrics, Penn State Hershey College of Medicine, Hershey, PA 17033, USA.
Pooja JhaveriDepartment of Pediatrics, Penn State Hershey College of Medicine, Hershey, PA 17033, USA.
Adam T SchmidtDepartment of Psychological Sciences, Texas Tech University, Lubbock, TX 79409, USA.
Steven D HicksDepartment of Pediatrics, Penn State Hershey College of Medicine, Hershey, PA 17033, USA.ORCID 0000-0002-9579-6798
Penn State Milton S. Hershey Medical Center · USTexas Tech University · USUniversity of South Florida · US

Funding

Poly-omic predictors of symptom duration and recovery for adolescent concussionR01NS115942 · NINDS · PENNSYLVANIA STATE UNIV HERSHEY MED CTR · PI HICKS, STEVEN DANIEL · 2021 to 2025
$2.8M
Severity Predictors Integrating salivary Transcriptomics and proteomics with Multi neural network Intelligence in SARS-CoV2 infection in Children (SPITS MISC)R61HD105610 · NICHD · CENTRAL MICHIGAN UNIVERSITY · PI HICKS, STEVEN DANIEL, SETHURAMAN, USHA · 2021 to 2022
$1.4M
Understanding the miRNA response to opioid withdrawal and their uses as potential biomarkers for neonatal abstinence syndromeF30DA057094 · NIDA · PENNSYLVANIA STATE UNIV HERSHEY MED CTR · PI Rhea Elena Sullivan · 2022 to 2026
$213k
NICHD NIH HHS R61 HD105610NIDA NIH HHS F30 DA057094NINDS NIH HHS R01 NS115942
6 · The paper itself

Abstract

There is growing interest in saliva microRNAs (miRNAs) as non-invasive biomarkers for human disease. Such an approach requires understanding how differences in experimental design affect miRNA expression. Variations in technical methodologies, coupled with inter-individual variability may reduce study reproducibility and generalizability. Another barrier facing salivary miRNA biomarker research is a lack of recognized "control miRNAs". In one of the largest studies of human salivary miRNA to date (922 healthy individuals), we utilized 1225 saliva samples to quantify variability in miRNA expression resulting from aligner selection (Bowtie1 vs. Bowtie2), saliva collection method (expectorated vs. swabbed), RNA stabilizer (presence vs. absence), and individual biological factors (sex, age, body mass index, exercise, caloric intake). Differential expression analyses revealed that absence of RNA stabilizer introduced the greatest variability, followed by differences in methods of collection and aligner. Biological factors generally affected a smaller number of miRNAs. We also reported coefficients of variations for 643 miRNAs consistently present in saliva, highlighting several salivary miRNAs to serve as reference genes. Thus, the results of this analysis can be used by researchers to optimize parameters of salivary miRNA measurement, exclude miRNAs confounded by numerous biologic factors, and identify appropriate miRNA controls.

Indexed as

MicroRNAsSalivaBiomarkersHumansReproducibility of ResultsBiomarkersMicroRNAsbiomarkerhousekeepingmiRNAsalivarystabilizer

Identifiers

PMID36292760
PMCPMC9602126
OpenAlexW4306377347

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.