Evidence mapPaperPMID 42454192Full record

ReviewExtracellular vesicles and circulating nucleic acids2026

Quantification of EV-associated miRNA in liquid biopsies for biomarker signature development.

Mia S C Yu, Christian Grätz, Dapi Menglin Chiang, Olivier Loudig, Yadong Zheng, Cole Hladik, Bethany Hannafon, Navneet Dogra, Benedikt Kirchner, Michael W Pfaffl

Abstract readReview
In one paragraph

Review in Extracellular vesicles and circulating nucleic acids, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

10 authors.

Mia S C YuDivision of Animal Physiology and Immunology, School of Life Sciences Weihenstephan, Technical University of Munich, Freising 85354, Germany.
Christian GrätzDivision of Animal Physiology and Immunology, School of Life Sciences Weihenstephan, Technical University of Munich, Freising 85354, Germany.
Dapi Menglin ChiangDivision of Animal Physiology and Immunology, School of Life Sciences Weihenstephan, Technical University of Munich, Freising 85354, Germany.
Olivier LoudigCenter for Discovery and Innovation, Nutley, NJ 07110, USA.
Yadong ZhengKey Laboratory of Applied Technology on Green-Eco-Healthy Animal Husbandry of Zhejiang Province, Zhejiang Provincial Engineering Laboratory for Animal Health Inspection & Internet Technology, Zhejiang International Science and Technology Cooperation Base for Veterinary Medicine and Health Management, China-Australia Joint Laboratory for Animal Health Big Data Analytics, College of Animal Science and Technology & College of Veterinary Medicine of Zhejiang A&F University, Hangzhou 311300, Zhejiang, China.
Cole HladikDepartment of Cell Biology, University of Oklahoma Health Campus, Oklahoma City, OK 73104, USA.
Bethany HannafonDepartment of Cell Biology, University of Oklahoma Health Campus, Oklahoma City, OK 73104, USA.
Navneet DograDepartment of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.
Benedikt KirchnerDivision of Animal Physiology and Immunology, School of Life Sciences Weihenstephan, Technical University of Munich, Freising 85354, Germany.
Michael W PfafflDivision of Animal Physiology and Immunology, School of Life Sciences Weihenstephan, Technical University of Munich, Freising 85354, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Extracellular vesicle (EV)-associated microRNAs (miRNAs) are promising minimally invasive biomarkers, as EV encapsulation protects miRNAs from degradation while preserving disease- and cell- type-specific expression patterns across diverse human body fluids. This review summarizes the current understanding of miRNA and EV biogenesis, including the mechanisms governing EV cargo packaging. We further discuss the broad range of EV sources used in liquid biopsy and molecular diagnostics, including blood, urine, saliva, milk, respiratory fluids, and cerebrospinal fluid, highlighting both the diagnostic utility and key pre-analytical challenges associated with EV-miRNA analysis. State-of-the-art EV isolation approaches, including differential ultracentrifugation, size-exclusion chromatography, affinity-based methods, microfluidic platforms, flow cytometry and nanoparticle-based analyses are not isolation methods and are therefore excluded from this comparison. In addition, workflows for EV-associated RNA extraction and quantification, including RNA sequencing and reverse transcription-quantitative polymerase chain reaction-based methodologies, are critically evaluated. Emphasis is placed on challenges related to data quality assessment, normalization strategies, low-input sample analysis, and high sample heterogeneity. This review also summarizes current standardization initiatives, including MISEV, MIQE, EV-TRACK, and EV Task Force biofluid guidelines, emphasizing the importance of rigorous reporting standards, harmonized pre-analytical workflows, and multiparametric normalization strategies for reproducible detection and accurate quantification. Finally, we discuss emerging best practices and unresolved challenges in multivariate modeling, miRNA isoform-based analyses, and

Indexed as

biomarkerextracellular vesiclesliquid biopsymiRNAmolecular diagnostics

Identifiers

PMID42454192
PMCPMC13367165

What Socratic holds

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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.