Evidence map›Paper›PMID 35467283›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2022

Isolation and Characterization of Urinary Extracellular Vesicles for MicroRNA Biomarker Signature Development with Reference to MISEV Compliance.

Marlene Reithmair, Anja Lindemann, Veronika Mussack, Michael W Pfaffl

Abstract read
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In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Review
  3. Extracellular vesicles in laboratory medicine: a review and outlook.Frontiers in cell and developmental biology · 2025
    Review
  4. Review
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.

Marlene ReithmairInstitute of Human Genetics, University Hospital Munich, Ludwig-Maximilians-University Munich, Munich, Germany. marlene.reithmair@med.uni-muenchen.de.
Anja LindemannInstitute of Human Genetics, University Hospital Munich, Ludwig-Maximilians-University Munich, Munich, Germany.
Veronika MussackDepartment of Animal Physiology and Immunology, TUM School of Life Sciences Weihenstephan, Technical University of Munich, Freising, Germany.
Michael W PfafflDepartment of Animal Physiology and Immunology, TUM School of Life Sciences Weihenstephan, Technical University of Munich, Freising, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Urine bears high potential for serving as biomarker repository for renal and urinary tract associated disorders. Besides various metabolites and salts, urine carries extracellular vesicles (EVs)-a heterogeneous group of cell-derived mediators comprising proteins, lipids, and nucleic acids such as microRNAs (miRNAs). Particularly, EV-derived miRNA biomarkers have already been identified for numerous disorders such as sepsis, various blood and solid cancer entities, respiratory and renal diseases. However, study results are often incomparable due to poorly reported EV separation and miRNA isolation protocols and emphasize the need for standardization and reproducibility. To ensure valid EV-derived miRNA biomarker findings from urine, a step-by-step protocol compliant with the "Minimal Information for Studies of Extracellular Vesicles" (MISEV) is outlined in the following paragraphs. Actually, an immunoaffinity-based EV separation method followed by EV characterization, quantification, and normalization, as well as consecutive miRNA isolation and miRNA profiling by small RNA sequencing, are described.

Indexed as

Extracellular VesiclesMicroRNAsUrinary TractBiomarkersReproducibility of ResultsBiomarkersMicroRNAsBiomarkerEVmicroRNAMISEVNGSSmall RNA sequencingUrinary extracellular vesicles

Identifiers

What OpenQuestion holds

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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.