Evidence map›Paper›PMID 33468257›Full record

ArticleBiomarker research2021

Development of acoustically isolated extracellular plasma vesicles for biomarker discovery in allogeneic hematopoietic stem cell transplantation.

Hooi Ching Lim, Shamit Soneji, Róbert Pálmason, Stig Lenhoff, Thomas Laurell, Stefan Scheding

Abstract read
In one paragraph

Article in Biomarker research, 2021. 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
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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

6 authors.

Hooi Ching LimDivision of Molecular Hematology, Department of Laboratory Medicine, Lund Stem Cell Center, Lund University, BMC B12, Klinikgatan 26, 22184, Lund, Sweden.
Shamit SonejiDivision of Molecular Hematology, Department of Laboratory Medicine, Lund Stem Cell Center, Lund University, BMC B12, Klinikgatan 26, 22184, Lund, Sweden.
Róbert PálmasonDepartment of Hematology, Skåne University Hospital, Lund, Sweden.
Stig LenhoffDepartment of Hematology, Skåne University Hospital, Lund, Sweden.
Thomas LaurellDivision of Nanobiotechnology and Lab-on-a-chip, Department of Biomedical Engineering, Lund University, Lund, Sweden.
Stefan SchedingDivision of Molecular Hematology, Department of Laboratory Medicine, Lund Stem Cell Center, Lund University, BMC B12, Klinikgatan 26, 22184, Lund, Sweden. stefan.scheding@med.lu.se.ORCID http://orcid.org/0000-0002-8005-9568

Funding

Stiftelsen för Strategisk Forskning SBE13-0049Vetenskapsrådet (SE) 2014-03413, 2018-03672 and 2019-00795
6 · The paper itself

Abstract

backgroundInfection and graft-versus-host disease (GvHD) are the major causes for mortality and morbidity of allogeneic hematopoietic stem cell transplantation (allo-HSCT). Plasma-derived extracellular vesicles (EVs) contain disease-related proteins, DNAs and RNAs, and have recently been suggested as potential biomarker candidates for transplantation complications. However, EV isolation from small plasma volumes in clinical biomarker studies using conventional methods is challenging. We therefore investigated if EVs isolated by novel automated acoustic trapping could be developed as potential biomarkers for allo-HSCT complications by performing a clinical proof-of-principle study.

resultsPlasma samples were collected from twenty consecutive patients with high-risk/relapsed hematologic malignancies undergoing allo-HSCT before transplantation and post-transplant up to 12 weeks. EVs were isolated from small plasma sample volumes (150 μl) by an automated, acoustofluidic-based particle trapping device, which utilizes a local λ/2 ultrasonic standing wave in a borosilicate glass capillary to capture plasma EVs among pre-seeded polystyrene microbeads through sound scatter interactions. We found that EVs could be reliably isolated from all plasma samples (n = 173) and that EV numbers increased more than 2-fold in the majority of patients after transplantation. Also, sufficient quantities of RNA for downstream microRNA (miRNA) analysis were obtained from all samples and EV miRNA profiles were found to differ from whole plasma profiles. As a proof of principle, expression of platelet-specific miR-142-3p in EVs was shown to correlate with platelet count kinetics after transplantation as expected. Importantly, we identified plasma EV miRNAs that were consistently positively correlated with infection and GvHD, respectively, as well as miRNAs that were consistently negatively correlated with these complications.

conclusionsThis study demonstrates that acoustic enrichment of EVs in a clinical biomarker study setting is feasible and that downstream analysis of acoustically-enriched EVs presents a promising tool for biomarker development in allo-HSCT. Certainly, these findings warrant further exploration in larger studies, which will have significant implications not only for biomarker studies in transplantation but also for the broad field of EV-based biomarker discovery.

Indexed as

Acoustic trappingAllogeneic hematopoietic stem cell transplantationAllo-HSCTBiomarker developmentEVsGraft-versus host diseaseGvHDInfectionPlasma extracellular vesiclesTransplantation

Identifiers

PMID33468257
PMCPMC7814576

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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.