Evidence map›Paper›PMID 31795194›Full record

ReviewCells2019

MicroRNA Signatures as Future Biomarkers for Diagnosis of Diabetes States.

Srividya Vasu, Kenjiro Kumano, Carly M Darden, Irum Rahman, Michael C Lawrence, Bashoo Naziruddin

Abstract readReview
In one paragraph

Review in Cells, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 98 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
98citing papers in PubMed, 6 pooled it
–field-weighted citation impact
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

98 citing papers in PubMed, 6 syntheses or guidelines pooled it.

  1. Pooled it
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  14. Asprosin activates multiple placental pathwaysMolecular medicine reports · 2025
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38 more citing papers are in PubMed but not listed here.

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.

Srividya VasuIslet Cell Laboratory, Baylor Scott and White Research Institute, 3434 Live Oak Street, Dallas, TX 75204, USA.
Kenjiro KumanoIslet Cell Laboratory, Baylor Scott and White Research Institute, 3434 Live Oak Street, Dallas, TX 75204, USA.
Carly M DardenIslet Cell Laboratory, Baylor Scott and White Research Institute, 3434 Live Oak Street, Dallas, TX 75204, USA.
Irum RahmanIslet Cell Laboratory, Baylor Scott and White Research Institute, 3434 Live Oak Street, Dallas, TX 75204, USA.
Michael C LawrenceIslet Cell Laboratory, Baylor Scott and White Research Institute, 3434 Live Oak Street, Dallas, TX 75204, USA.
Bashoo NaziruddinAnnette C. and Harold C. Simmons Transplant Institute, Baylor University Medical Center, 3410 Worth St., Suite 950, Dallas, TX 75246, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diabetes results from the inability of pancreatic islets to maintain blood glucose concentrations within a normal physiological range. Clinical features are usually not observed until islets begin to fail and irreversible damage has occurred. Diabetes is generally diagnosed based on elevated glucose, which does not distinguish between type 1 and 2 diabetes. Thus, new diagnostic approaches are needed to detect different modes of diabetes before manifestation of disease. During prediabetes (pre-DM), islets undergo stress and release micro (mi) RNAs. Here, we review studies that have measured and tracked miRNAs in the blood for those with recent-onset or longstanding type 1 diabetes, obesity, pre-diabetes, type 2 diabetes, and gestational diabetes. We summarize the findings on miRNA signatures with the potential to stage progression of different modes of diabetes. Advances in identifying selective biomarker signatures may aid in early detection and classification of diabetic conditions and treatments to prevent and reverse diabetes.

Indexed as

AnimalsBiomarkersDiabetes, GestationalDiabetes Mellitus, Type 1Diabetes Mellitus, Type 2Early DiagnosisFemaleHumansMiceMicroRNAsObesityPregnancyBiomarkersMicroRNAsbiomarkerdiabetesisletmiRNA

Identifiers

PMID31795194
PMCPMC6953078

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.