Evidence mapPaperPMID 37686290Full record

ArticleInternational journal of molecular sciences2023

An Uncharacterised lncRNA Coded by the ASAP1 Locus Is Downregulated in Serum of Type 2 Diabetes Mellitus Patients.

Cristina Barbagallo, Michele Stella, Stefania Di Mauro, Alessandra Scamporrino, Agnese Filippello, Francesca Scionti, Maria Teresa Di Martino, Michele Purrello, Marco Ragusa, Francesco Purrello and 1 more

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2023. 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
0.2field-weighted citation impact, top 31% 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. Review
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

11 authors at 2 institutions in 1 country.

Cristina BarbagalloSection of Biology and Genetics, Department of Biomedical and Biotechnological Sciences, University of Catania, 95123 Catania, Italy.ORCID 0000-0002-6769-4516
Michele StellaSection of Biology and Genetics, Department of Biomedical and Biotechnological Sciences, University of Catania, 95123 Catania, Italy.ORCID 0000-0002-3852-9933
Stefania Di MauroDepartment of Clinical and Experimental Medicine, Internal Medicine, Garibaldi-Nesima Hospital, University of Catania, 95122 Catania, Italy.ORCID 0000-0002-5436-8279
Alessandra ScamporrinoDepartment of Clinical and Experimental Medicine, Internal Medicine, Garibaldi-Nesima Hospital, University of Catania, 95122 Catania, Italy.ORCID 0000-0003-4483-3365
Agnese FilippelloDepartment of Clinical and Experimental Medicine, Internal Medicine, Garibaldi-Nesima Hospital, University of Catania, 95122 Catania, Italy.ORCID 0000-0001-6593-8823
Francesca SciontiDepartment of Experimental and Clinical Medicine, Magna Graecia University, 88100 Catanzaro, Italy.ORCID 0000-0002-8149-7957
Maria Teresa Di MartinoDepartment of Experimental and Clinical Medicine, Magna Graecia University, 88100 Catanzaro, Italy.ORCID 0000-0002-8205-2706
Michele PurrelloSection of Biology and Genetics, Department of Biomedical and Biotechnological Sciences, University of Catania, 95123 Catania, Italy.ORCID 0000-0001-8873-3660
Marco RagusaSection of Biology and Genetics, Department of Biomedical and Biotechnological Sciences, University of Catania, 95123 Catania, Italy.ORCID 0000-0002-4282-920X
Francesco PurrelloDepartment of Clinical and Experimental Medicine, Internal Medicine, Garibaldi-Nesima Hospital, University of Catania, 95122 Catania, Italy.ORCID 0000-0003-3313-8543
Salvatore PiroDepartment of Clinical and Experimental Medicine, Internal Medicine, Garibaldi-Nesima Hospital, University of Catania, 95122 Catania, Italy.ORCID 0000-0002-1781-0902
University of Catania · ITMagna Graecia University · IT

Funding

Italian Ministry of Education, Universities and Research (MIUR) ARS01_01270, CUP E66G18000150005
6 · The paper itself

Abstract

Diabetes mellitus (DM) is a complex and multifactorial disease characterised by high blood glucose. Type 2 Diabetes (T2D), the most frequent clinical condition accounting for about 90% of all DM cases worldwide, is a chronic disease with slow development usually affecting middle-aged or elderly individuals. T2D represents a significant problem of public health today because its incidence is constantly growing among both children and adults. It is also estimated that underdiagnosis prevalence would strongly further increase the real incidence of the disease, with about half of T2D patients being undiagnosed. Therefore, it is important to increase diagnosis accuracy. The current interest in RNA molecules (both protein- and non-protein-coding) as potential biomarkers for diagnosis, prognosis, and treatment lies in the ease and low cost of isolation and quantification with basic molecular biology techniques. In the present study, we analysed the transcriptome in serum samples collected from T2D patients and unaffected individuals to identify potential RNA-based biomarkers. Microarray-based profiling and subsequent validation using Real-Time PCR identified an uncharacterised long non-coding RNA (lncRNA) transcribed from the ASAP1 locus as a potential diagnostic biomarker. ROC curve analysis showed that a molecular signature including the lncRNA and the clinicopathological parameters of T2D patients as well as unaffected individuals showed a better diagnostic performance compared with the glycated haemoglobin test (HbA1c). This result suggests that the application of this biomarker in clinical practice would help to improve the diagnosis, and therefore the clinical management, of T2D patients. The proposed biomarker would be useful in the context of predictive, preventive, and personalised medicine (3PM/PPPM).

Indexed as

Diabetes Mellitus, Type 2HyperglycemiaRNA, Long NoncodingAdaptor Proteins, Signal TransducingAdultAgedChildHumansMiddle AgedPublic HealthAdaptor Proteins, Signal TransducingASAP1 protein, humanRNA, Long NoncodingbiomarkersdiabetesdiagnosisncRNAspredictive preventive personalised medicine (3PM/PPPM)T2D

Identifiers

PMID37686290
PMCPMC10488254
OpenAlexW4386307267

What Socratic holds

Textmetadata
LicenceCC BY
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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 Socratic graph.