ReviewMolecular biology reports2022
Factors influencing circulating microRNAs as biomarkers for liver diseases.
Review in Molecular biology reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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.
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.
Who cites it
1 citing paper in PubMed.
- Machine-Learning-Based Single-Molecule Quantification of Circulating MicroRNA Mixtures.ACS sensors · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
MicroRNAs (microRNAs) have been implicated to play crucial roles in various liver diseases. Hepatic microRNAs are released in to the circulation in a systematic fashion, and are, therefore, being extensively explored for their role as prognostic or diagnostic markers or therapeutic targets for numerous hepatic diseases. Advantages such as disease- or tissue-specific expression, and ease of detection have implicated circulating microRNAs (c-microRNAs) as the most desirable candidate for biomarker studies. Although several studies have explored c-microRNAs in serum or plasma, consistency of detection of microRNAs remains demanding because of many biological and methodological challenges. Lack of methodological consensus has limited the universal use of c-microRNAs as potential prognostic or diagnostic disease-specific biomarkers. In this review, we have discussed pre-analytical and analytical factors that might affect c-miRNA expression and selection of appropriate data normalization strategy by incorporating endogenous reference microRNAs. This review will aid designing of better approaches and protocols for future diagnostic research on hepatic c-microRNAs.
Indexed as
Identifiers
35184269What OpenQuestion holds
Registered trials
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.