Evidence map›Paper›PMID 34927407›Full record

ArticleJournal of clinical research in pediatric endocrinology2022

Genetic Indices Relationship to Hyperglycemia-associated Biomarkers: Consistency with miRNA Expression in Egyptian Children with T1DM

Naglaa Fathy Barseem, Marwa Mohamed Mahasab, Ibrahem Fathy Zaed, Aya Eldesoky A. Said, Eman Masoud Abd El Gayed

Open access · goldAbstract read
In one paragraph

Article in Journal of clinical research in pediatric endocrinology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.1field-weighted citation impact, top 60% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. 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

5 authors at 2 institutions in 2 countries.

Naglaa Fathy BarseemMenoufia University Faculty of Medicine, Department of Pediatric, Unit of Genetic and Endocrinology, Shebein Elkom, EgyptORCID 0000-0002-2219-3179
Marwa Mohamed MahasabMenoufia University Faculty of Medicine, Department of Family Medicine, Shebein Elkom, EgyptORCID 0000-0003-1311-8561
Ibrahem Fathy ZaedMenoufia University Faculty of Sciences, Department of Chemistry, Shebein Elkom, EgyptORCID 0000-0003-0883-1637
Aya Eldesoky A. SaidMenoufia University Faculty of Sciences, Department of Chemistry, Shebein Elkom, EgyptORCID 0000-0003-3242-4409
Eman Masoud Abd El GayedMenoufia University Faculty of Medicine, Department of Medical Biochemistry and Molecular Biology, Shebein Elkom, Egypt
Menoufia University · EGOwl Research Institute · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Micro RNAs (miRNAs) are gaining acceptance as novel biomarkers for the autoimmune disorders. However, miRNA profiles have not been investigated in individuals at risk of or diagnosed with type 1 diabetes mellitus (T1DM). To study the expression pattern of miRNAs in plasma obtained from patients with T1DM and compare with matched healthy controls. Methods: Equal numbers of patients with T1DM (90) and healthy-matched control children (90) were assessed for the expression profile of plasma miRNAs including miRNA-101-5p, miRNA-146-5p, miRNA-21-5p, miRNA-375, miRNA-126, and Let7a-5p using reverse transcriptase polymerase chain reaction methodology and quantitative real-time testing. Results: Analysis showed that miRNA-101, miRNA-21 and miRNA-375 were highly expressed, whereas, miRNA-146-5p, miRNA-126, and miRNA-Let7a-5p showed significantly low levels of expression in T1DM patients compared to controls (p<0.05). In addition, miRNA-101 and miRNA-146 correlated with age at diagnosis of T1DM and disease duration, respectively. Furthermore, multivariate analysis showed that miRNA-126 and Let7a-5p had a significant negative correlation with mean hemoglobin A1c (HbA1c) values. Conclusion: Dysregulation of the six miRNAs analyzed suggested a possible role as biomarkers in T1DM. miRNA-101 was correlated with age at diagnosis while miRNA-146 correlated with disease duration. Two further miRNAs correlated with the existing biomarker, HbA1c.

Indexed as

Diabetes Mellitus, Type 1HyperglycemiaMicroRNAsBiomarkersChildEgyptHumansBiomarkersMicroRNAsMIRN101 microRNA, humanMIRN146 microRNA, humangene expressionmiRNAsplasmaq RT-PCRType 1 diabetes

Identifiers

PMID34927407
PMCPMC8900082
OpenAlexW4200278978

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.