Evidence map›Paper›PMID 31819064›Full record

ArticleScientific data2019

Blood proteome profiling using aptamer-based technology for rejection biomarker discovery in transplantation.

Andrey V Shubin, Branislav Kollar, Simon T Dillon, Bohdan Pomahac, Towia A Libermann, Leonardo V Riella

Abstract readDataset
In one paragraph

Article in Scientific data, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Observational
  6. Prediagnostic plasma proteomics profile for hepatocellular carcinoma.Journal of the National Cancer Institute · 2024
    Article
  7. Article
  8. Article
  9. Review
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  12. 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.

Andrey V ShubinDepartment of Molecular and Cellular Biology, Harvard University, Cambridge, MA, 02138, USA.ORCID http://orcid.org/0000-0001-7144-8484
Branislav KollarDivision of Plastic Surgery, Department of Surgery, Brigham & Women's Hospital, Harvard Medical School, Boston, MA, 02115, USA.ORCID http://orcid.org/0000-0001-6668-7798
Simon T DillonBeth Israel Deaconess Medical Center Genomics, Proteomics, Bioinformatics and Systems Biology Center, Division of Interdisciplinary Medicine and Biotechnology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, 02215, USA.
Bohdan PomahacDivision of Plastic Surgery, Department of Surgery, Brigham & Women's Hospital, Harvard Medical School, Boston, MA, 02115, USA.
Towia A LibermannBeth Israel Deaconess Medical Center Genomics, Proteomics, Bioinformatics and Systems Biology Center, Division of Interdisciplinary Medicine and Biotechnology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, 02215, USA. tliberma@bidmc.harvard.edu.
Leonardo V RiellaSchuster Transplantation Research Center, Renal Division, Brigham & Women's Hospital, Harvard Medical School, Boston, MA, 02115, USA. lriella@bwh.harvard.edu.ORCID http://orcid.org/0000-0002-7636-3196

Funding

VectorP30CA006516 · NCI · DANA-FARBER CANCER INSTITUTE · PI A. Heather Eliassen · 1985 to 2026
$330.6M
mHealth Messaging to Motivate Quitline Use and Quitting (M2Q2): RCT in rural VietnamR01TW010647 · FIC · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI SADASIVAM, RAJANI · 2017 to 2021
$1.8M
NCI NIH HHS P30 CA006516U.S. Department of Health & Human Services | Office of the Assistant Secretary for Health (OASH) W81XWH-16-1-0647
6 · The paper itself

Abstract

Face transplantation is a promising solution for patients with devastating facial injuries who lack other satisfactory treatment options. At the same time, this type of transplantation is accompanied with high risks of acute transplant rejection. The limitations of traditional skin biopsy and the need to frequently monitor the condition of face transplant call for less invasive biomarkers to better diagnose and treat acute rejection. Discovery of peripheral serum proteins accurately reflecting the transplant status would represent a reasonable solution to meet this demand. However, to date, there is no clinical data available to address the feasibility of this approach. In this study, we used the next generation aptamer-based SOMAscan proteomics platform to profile 1305 proteins of peripheral blood serum in twenty-four samples taken from 6 patients during no-rejection, nonsevere rejection, and severe rejection episodes. Also, we provide a detailed description of biosample processing and all steps to generate and analyze the SOMAscan dataset with hope it will assist in performing biomarker discovery in other transplantation centers using this platform.

Indexed as

Aptamers, NucleotideProteomeTransplantationBiomarkersBlood ProteinsGraft RejectionHumansProteomicsAptamers, NucleotideBiomarkersBlood ProteinsProteome

Identifiers

PMID31819064
PMCPMC6901551

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.