Evidence map›Paper›PMID 35538547›Full record

ArticleJournal of translational medicine2022

An optimized method for the isolation of urinary extracellular vesicles for molecular phenotyping: detection of biomarkers for radiation exposure.

Charles P Hinzman, Meth Jayatilake, Sunil Bansal, Brian L Fish, Yaoxiang Li, Yubo Zhang, Shivani Bansal, Michael Girgis, Anton Iliuk, Xiao Xu and 7 more

Open access · goldAbstract read
In one paragraph

Article in Journal of translational medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
1.3field-weighted citation impact, top 21% 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

15 citing papers in PubMed, 15 citations in OpenAlex.

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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

17 authors at 5 institutions in 1 country.

Charles P Hinzman *Department of Biochemistry and Molecular & Cellular Biology, Georgetown University Medical Center, Washington, DC, 20007, USA.ORCID 0000-0002-4669-4357
Meth Jayatilake *Department of Oncology, Georgetown University Medical Center, Washington, DC, 20007, USA.ORCID 0000-0002-5780-9391
Sunil Bansal *Department of Oncology, Georgetown University Medical Center, Washington, DC, 20007, USA.ORCID 0000-0001-6066-7841
Brian L FishDepartment of Radiation Oncology, Medical College of Wisconsin, Milwaukee, WI, 53226, USA.
Yaoxiang LiDepartment of Oncology, Georgetown University Medical Center, Washington, DC, 20007, USA.
Yubo ZhangDepartment of Oncology, Georgetown University Medical Center, Washington, DC, 20007, USA.
Shivani BansalDepartment of Oncology, Georgetown University Medical Center, Washington, DC, 20007, USA.
Michael GirgisDepartment of Oncology, Georgetown University Medical Center, Washington, DC, 20007, USA.ORCID 0000-0001-6419-8974
Anton IliukTymora Analytical Operations, West Lafayette, IN, 47906, USA.
Xiao XuDepartment of Molecular Medicine, Scripps Research Institute, La Jolla, CA, 92037, USA.
Jose A FernandezDepartment of Molecular Medicine, Scripps Research Institute, La Jolla, CA, 92037, USA.
John H GriffinDepartment of Molecular Medicine, Scripps Research Institute, La Jolla, CA, 92037, USA.
Elizabeth A BallewDepartment of Radiation Medicine, MedStar Georgetown University Hospital, Washington, DC, 20007, USA.
Keith UngerDepartment of Radiation Medicine, MedStar Georgetown University Hospital, Washington, DC, 20007, USA.
Marjan BoermaDepartment of Pharmaceutical Sciences, Division of Radiation Health, University of Arkansas for Medical Sciences, Little Rock, AK, 72205, USA.
Meetha MedhoraDepartment of Radiation Oncology, Medical College of Wisconsin, Milwaukee, WI, 53226, USA.
Amrita K CheemaDepartment of Biochemistry and Molecular & Cellular Biology, Georgetown University Medical Center, Washington, DC, 20007, USA. amrita.cheema@georgetown.edu.ORCID 0000-0003-4877-7583
Georgetown University · USScripps Research Institute · USMedical College of Wisconsin · USTymora Analytical Operations (United States) · USUniversity of Arkansas for Medical Sciences · US

Funding

Tissue Culture Shared ResourceP30CA051008 · NCI · GEORGETOWN UNIVERSITY · PI Louis M Weiner · 1990 to 2026
$71.5M
The Role o f Tetrahydrobiopterin (BH4) Bioavailability in Radiation-induced Skin InjuryP20GM109005 · NIGMS · UNIV OF ARKANSAS FOR MED SCIS · PI BOERMA, MARJAN · 2015 to 2024
$21.1M
Translational Biomedical Science Training GrantTL1TR001431 · NCATS · GEORGETOWN UNIVERSITY · PI LEE, DEXTER L, SANDBERG, KATHRYN L · 2015 to 2024
$4.8M
The Protein C Pathway in Mitigation of Radiation-Induced Endothelial and Vascular DysfunctionU01AI133561 · NIAID · UNIV OF ARKANSAS FOR MED SCIS · PI BOERMA, MARJAN, GRIFFIN, JOHN H · 2017 to 2021
$3.3M
Development of lisinopril for post-exposure mitigation of late effects from a radU01AI107305 · NIAID · MEDICAL COLLEGE OF WISCONSIN · PI MEDHORA, MEETHA M · 2013 to 2017
$3.0M
Mechanism of radiation induced endovascular injury and mitigation via the Notch-Dll4 pathwayU01AI133594 · NIAID · MEDICAL COLLEGE OF WISCONSIN · PI HIMBURG, HEATHER A · 2018 to 2022
$3.0M
Project-002U01AI148308 · NIAID · UNIV OF ARKANSAS FOR MED SCIS · PI BOERMA, MARJAN, CHEEMA, AMRITA KAUR · 2020 to 2024
$2.8M
National Institute of Allergy and Infectious Diseases U01AI133561National Institute of Allergy and Infectious Diseases U01AI148308NCATS NIH HHS TL1 TR001431NCATS NIH HHS TL1TR001431NCI NIH HHS P30 CA051008NIAID NIH HHS U01 AI107305NIAID NIH HHS U01 AI133561NIAID NIH HHS U01 AI133594NIAID NIH HHS U01 AI148308NIGMS NIH HHS P20 GM109005NIH HHS U01AI107305NIH HHS U01AI133594
6 · The paper itself

Abstract

backgroundUrinary extracellular vesicles (EVs) are a source of biomarkers with broad potential applications across clinical research, including monitoring radiation exposure. A key limitation to their implementation is minimal standardization in EV isolation and analytical methods. Further, most urinary EV isolation protocols necessitate large volumes of sample. This study aimed to compare and optimize isolation and analytical methods for EVs from small volumes of urine.

methods3 EV isolation methods were compared: ultracentrifugation, magnetic bead-based, and size-exclusion chromatography from 0.5 mL or 1 mL of rat and human urine. EV yield and mass spectrometry signals (Q-ToF and Triple Quad) were evaluated from each method. Metabolomic profiling was performed on EVs isolated from the urine of rats exposed to ionizing radiation 1-, 14-, 30- or 90-days post-exposure, and human urine from patients receiving thoracic radiotherapy for the treatment of lung cancer pre- and post-treatment.

resultsSize-exclusion chromatography is the preferred method for EV isolation from 0.5 mL of urine. Mass spectrometry-based metabolomic analyses of EV cargo identified biochemical changes induced by radiation, including altered nucleotide, folate, and lipid metabolism. We have provided standard operating procedures for implementation of these methods in other laboratories.

conclusionsWe demonstrate that EVs can be isolated from small volumes of urine and analytically investigated for their biochemical contents to detect radiation induced metabolomic changes. These findings lay a groundwork for future development of methods to monitor response to radiotherapy and can be extended to an array of molecular phenotyping studies aimed at characterizing EV cargo.

Indexed as

Extracellular VesiclesRadiation ExposureAnimalsBiomarkersHumansMass SpectrometryRatsUltracentrifugationBiomarkersExtracellular vesiclesLaboratory methods and toolsLC/MSMass spectrometryMetabolomicsRadiation injury

Identifiers

PMID35538547
PMCPMC9092707
OpenAlexW4229442129

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.