Evidence map›Paper›PMID 36404826›Full record

ArticleJournal of diabetes and metabolic disorders2022

Circulating salivary and serum miRNA-182, 320a, 375 and 503 expression levels in type 2 diabetes.

Yousef Khazaei Monfared, Maryam Honardoost, Michele Cea, Soheyla Gholami, Iraj Mirzaei-Dizgah, Sima Hashemipour, Mohamad Reza Sarookhani, Seyed Amir Farzam

Open access · greenAbstract read
In one paragraph

Article in Journal of diabetes and metabolic disorders, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
0.6field-weighted citation impact, top 34% 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

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 5 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Review
  4. 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

8 authors at 6 institutions in 2 countries.

Yousef Khazaei Monfared *Dezful University of Medical Sciences, Dezful, Iran.
Maryam Honardoost *Endocrine Research Center, Institute of Endocrinology and Metabolism, Iran University of Medical Sciences, Tehran, Iran.
Michele CeaClinic of Hematology, Department of Internal Medicine (DiMI), University of Genoa and IRCCS Ospedale Policlinico San Martino, Genoa, Italy.
Soheyla GholamiTor Vergara University, Rome, Italy.
Iraj Mirzaei-DizgahDepartment of Physiology, School of Medicine, Aja University of Medical Sciences, Tehran, Iran.
Sima HashemipourMetabolic Diseases Research Center, Qazvin University of Medical Sciences, Qazvin, Iran.
Mohamad Reza SarookhaniCellular and Molecular Research Center, Qazvin University of Medical Sciences, Qazvin, Iran.
Seyed Amir FarzamFaculty of Medicine, Qazvin University of Medical Sciences, Qazvin, Iran.
Qazvin University of Medical Sciences · IRAja University of Medical Sciences · IRDezful University of Medical Sciences · IRIran University of Medical Sciences · IROspedale Policlinico San Martino · ITUniversity of Rome Tor Vergata · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aim: Early-stage diagnosis of diabetes through non-invasive and diagnostic biofluid-like saliva has become a very popular approach to facilitate future preventive interventions and improve patient care. Meanwhile, the alteration of small non-coding RNA in human fluids has been suggested as a probable precedent for the early stages of diabetes. Methods: In the present study, we checked the expression of miR-320a, 182-5p, 503, and 375 by using quantitative PCR in both stimulated and unstimulated saliva and blood samples of 40 adult patients with type-2 diabetes compared to 40 healthy individuals. In addition, we have sought to understand the possibility that miRNAs could provide new information about the status of type 2 diabetes in salivary samples beyond what can now be identified from blood samples and link their expression to the presence of clinically relevant risk factors. For this purpose, we have used a set of multivariate models. Results: The results showed that three miRNAs were more highly expressed in patients with type 2 diabetes, while miR-320-a was down-regulated in those patients compared to healthy subjects. Furthermore, the data showed that miR-320a was the most reliable predictor for distinguishing diabetic patients from healthy subjects, with AUCs of 0.997, 0.97, and 0.99 (97.4% sensitivity and 100% specificity, Conclusions: Interestingly, the results of this study indicated that the amount of four miRNAs expressed in stimulated saliva was the same as in serum samples, which could conclude that specific miR-320a and 503 in stimulated saliva may introduce credible, non-invasive, and diagnostic biomarkers that can be used to monitor diabetic patients' status, while there is a need to design more research studies to confirm these findings.

Indexed as

microRNASalivarySerumType 2 diabetes

Identifiers

PMID36404826
PMCPMC9672281
OpenAlexW4288074498

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.