Evidence map›Paper›PMID 26015318›Full record

ReviewJournal of endocrinological investigation2016

Circulating miRNAs as biomarkers for endocrine disorders.

H Butz, N Kinga, K Racz, A Patocs

Abstract readReview
PubMed Publisher
In one paragraph

Review in Journal of endocrinological investigation, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
1.3field-weighted citation impact, top 23% 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

16 citing papers in PubMed, 43 citations in OpenAlex.

  1. Article
  2. Review
  3. Advancing Ischemic Stroke Prognosis: Key Role of MiR-155 Non-Coding RNA.International journal of molecular sciences · 2025
    Review
  4. Article
  5. Observational
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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 2 institutions in 1 country.

H ButzHungarian Academy of Sciences and Semmelweis University Molecular Medicine Research Group, Budapest, Hungary.
N Kinga2nd Department of Medicine, Faculty of Medicine, Semmelweis University, 46 Szentkirályi Str., Budapest, 1088, Hungary.
K RaczHungarian Academy of Sciences and Semmelweis University Molecular Medicine Research Group, Budapest, Hungary.
A PatocsHungarian Academy of Sciences and Semmelweis University Molecular Medicine Research Group, Budapest, Hungary. patocs.attila@med.semmelweis-univ.hu.
Hungarian Academy of Sciences · HUSemmelweis University · HU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Specific, sensitive and non-invasive biomarkers are always needed in endocrine disorders. miRNAs are short, non-coding RNA molecules with well-known role in gene expression regulation. They are frequently dysregulated in metabolic and endocrine diseases. Recently it has been shown that they are secreted into biofluids by nearly all kind of cell types. As they can be taken up by other cells they may have a role in a new kind of paracrine, cell-to-cell communication. Circulating miRNAs are protected by RNA-binding proteins or microvesicles hence they can be attractive candidates as diagnostic or prognostic biomarkers. In this review, we summarize the characteristics of extracellular miRNA's and our knowledge about their origin and potential roles in endocrine and metabolic diseases. Discussions about the technical challenges occurring during identification and measurement of extracellular miRNAs and future perspectives about their roles are also highlighted.

Indexed as

AnimalsBiomarkersEndocrine Gland NeoplasmsEndocrine System DiseasesHumansMicroRNAsBiomarkersMicroRNAsBiomarkerCirculating microRNAEndocrine tumor

Identifiers

PMID26015318
OpenAlexW379682457

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.