Evidence mapPaperPMID 35008723Full record

ReviewInternational journal of molecular sciences2021

Circulating Nucleic Acid-Based Biomarkers of Type 2 Diabetes.

Felipe Padilla-Martinez, Gladys Wojciechowska, Lukasz Szczerbinski, Adam Kretowski

Open access · goldAbstract readReview
In one paragraph

Review in International journal of molecular sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.1field-weighted citation impact, top 25% 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

13 citing papers in PubMed, 17 citations in OpenAlex.

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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

4 authors at 1 institution in 1 country.

Felipe Padilla-MartinezClinical Research Centre, Medical University of Bialystok, 15276 Białystok, Poland.ORCID 0000-0002-4561-6875
Gladys WojciechowskaClinical Research Centre, Medical University of Bialystok, 15276 Białystok, Poland.ORCID 0000-0001-9890-8794
Lukasz SzczerbinskiClinical Research Centre, Medical University of Bialystok, 15276 Białystok, Poland.ORCID 0000-0002-6201-0605
Adam KretowskiClinical Research Centre, Medical University of Bialystok, 15276 Białystok, Poland.ORCID 0000-0002-4522-4978
Medical University of Białystok · PL

Funding

European Union 754432
6 · The paper itself

Abstract

Type 2 diabetes (T2D) is a deficiency in how the body regulates glucose. Uncontrolled T2D will result in chronic high blood sugar levels, eventually resulting in T2D complications. These complications, such as kidney, eye, and nerve damage, are even harder to treat. Identifying individuals at high risk of developing T2D and its complications is essential for early prevention and treatment. Numerous studies have been done to identify biomarkers for T2D diagnosis and prognosis. This review focuses on recent T2D biomarker studies based on circulating nucleic acids using different omics technologies: genomics, transcriptomics, and epigenomics. Omics studies have profiled biomarker candidates from blood, urine, and other non-invasive samples. Despite methodological differences, several candidate biomarkers were reported for the risk and diagnosis of T2D, the prognosis of T2D complications, and pharmacodynamics of T2D treatments. Future studies should be done to validate the findings in larger samples and blood-based biomarkers in non-invasive samples to support the realization of precision medicine for T2D.

Indexed as

AnimalsBiomarkersCell-Free Nucleic AcidsDiabetes Mellitus, Type 2DNA MethylationEpigenomicsHumansTranscriptomeBiomarkersCell-Free Nucleic Acidsbiomarkersepigenomicsgenomicsnucleic acidtranscriptomicstype 2 diabetes

Identifiers

PMID35008723
PMCPMC8745431
OpenAlexW4200328016

What Socratic 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 Socratic graph.