Evidence map›Paper›PMID 30365060›Full record

ArticleInternational journal of molecular medicine2019

A highly efficient method for isolating urinary exosomes.

Liuqing He, Ding Zhu, Junpu Wang, Xiaoying Wu

Open access · hybridAbstract read
In one paragraph

Article in International journal of molecular medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 71 papers.

0numbers the graph read from it
0cells of the map it votes in
71citing papers in PubMed
3.4field-weighted citation impact, top 6% 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

71 citing papers in PubMed, 102 citations in OpenAlex.

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11 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

4 authors at 2 institutions in 1 country.

Liuqing HeDepartment of Pathology, Xiangya Hospital, Central South University, Changsha, Hunan 410008, P.R. China.
Ding ZhuDepartment of Pathology, Xiangya Hospital, Central South University, Changsha, Hunan 410008, P.R. China.
Junpu WangDepartment of Pathology, Xiangya Hospital, Central South University, Changsha, Hunan 410008, P.R. China.
Xiaoying WuDepartment of Pathology, Xiangya Hospital, Central South University, Changsha, Hunan 410008, P.R. China.
Central South University · CNXiangya Hospital Central South University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the present study, a highly efficient method, referred to as optimized ultrafiltration (OUF), was developed. This method is effective for exosome purification and also facilitates clinical work involving substantial urinary exosome isolation. In the OUF method, 0.22‑µm filters along with a dialysis membrane with a molecular weight cut‑off of 10,000 kDa were introduced, in order to remove extracellular microvesicles that were >200 nm and concentrate the supernatant up to 1/50 of the initial volume. The existence, purity and production of the exosomes isolated by OUF and conventional ultracentrifugation (UC) were systematically compared by transmission electron microscopy, western blotting and nanoparticle tracking analysis. In addition, colloidal Coomassie‑stained gel and reverse transcription‑quantitative polymerase chain reaction were used to investigate the stability and integrity of exosomes isolated by these two protocols. The time required and cost of these two methods in the process of isolating urinary exosomes were also estimated. The results indicated that OUF clearly outperforms UC in quantity, quality and biological stability, and this improved method may have extensive applications in the growing fields of clinical biomarker discovery and exosome research.

Indexed as

AdultExosomesFemaleHumansNanoparticlesUltracentrifugationUltrafiltrationUrineYoung Adult

Identifiers

PMID30365060
PMCPMC6257847
OpenAlexW2896616277

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.