Evidence map›Paper›PMID 34448265›Full record

ArticleTransplant international : official journal of the European Society for Organ Transplantation2021

Proteomic analysis of machine perfusion solution from brain dead donor kidneys reveals that elevated complement, cytoskeleton and lipid metabolism proteins are associated with 1-year outcome.

L Leonie van Leeuwen, Nora A Spraakman, Aukje Brat, Honglei Huang, Adam M Thorne, Sarah Bonham, Bas W M van Balkom, Rutger J Ploeg, Benedikt M Kessler, Henri G D Leuvenink

Abstract read
In one paragraph

Article in Transplant international : official journal of the European Society for Organ Transplantation, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

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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

10 authors.

L Leonie van LeeuwenDepartment of Surgery, University of Groningen, University Medical Centre Groningen, Groningen, The Netherlands.ORCID https://orcid.org/0000-0003-4666-2993
Nora A SpraakmanDepartment of Anaesthesiology, University of Groningen, University Medical Centre Groningen, Groningen, The Netherlands.ORCID https://orcid.org/0000-0001-8614-589X
Aukje BratDepartment of Surgery, University of Groningen, University Medical Centre Groningen, Groningen, The Netherlands.ORCID https://orcid.org/0000-0003-1997-0982
Honglei HuangNuffield Department of Medicine, Target Discovery Institute, Centre for Medicines Discovery, University of Oxford, Oxford, UK.ORCID https://orcid.org/0000-0002-9762-843X
Adam M ThorneDepartment of Surgery, University of Groningen, University Medical Centre Groningen, Groningen, The Netherlands.ORCID https://orcid.org/0000-0001-5550-2364
Sarah BonhamNuffield Department of Medicine, Target Discovery Institute, Centre for Medicines Discovery, University of Oxford, Oxford, UK.ORCID https://orcid.org/0000-0002-9161-634X
Bas W M van BalkomDepartment of Nephrology and Hypertension, University Medical Centre Utrecht, Utrecht, The Netherlands.ORCID https://orcid.org/0000-0002-3204-2059
Rutger J PloegDepartment of Surgery, University of Groningen, University Medical Centre Groningen, Groningen, The Netherlands.ORCID https://orcid.org/0000-0001-7801-665X
Benedikt M KesslerNuffield Department of Medicine, Target Discovery Institute, Centre for Medicines Discovery, University of Oxford, Oxford, UK.ORCID https://orcid.org/0000-0002-8160-2446
Henri G D LeuveninkDepartment of Surgery, University of Groningen, University Medical Centre Groningen, Groningen, The Netherlands.ORCID https://orcid.org/0000-0001-5036-2999

Funding

Biomedical Research Centre (NIHR)Medical Research Council MR/R014132/1Tekke Huizinga Foundation
6 · The paper itself

Abstract

Assessment of donor kidney quality is based on clinical scores or requires biopsies for histological assessment. Noninvasive strategies to identify and predict graft outcome at an early stage are, therefore, needed. We evaluated the perfusate of donation after brain death (DBD) kidneys during nonoxygenated hypothermic machine perfusion (HMP). In particular, we compared perfusate protein profiles of good outcome (GO) and suboptimal outcome (SO) 1-year post-transplantation. Samples taken 15 min after the start HMP (T1) and before the termination of HMP (T2) were analysed using quantitative liquid chromatography-tandem mass spectrometry (LC-MS/MS). Hierarchical clustering of the 100 most abundant proteins showed discrimination between grafts with a GO and SO at T1. Elevated levels of proteins involved in classical complement cascades at both T1 and T2 and a reduced abundance of lipid metabolism at T1 and of cytoskeletal proteins at T2 in GO versus SO was observed. ATP-citrate synthase and fatty acid-binding protein 5 (T1) and immunoglobulin heavy variable 2-26 and desmoplakin (T2) showed 91% and 86% predictive values, respectively, for transplant outcome. Taken together, DBD kidney HMP perfusate profiles can distinguish between outcome 1-year post-transplantation. Furthermore, it provides insights into mechanisms that could play a role in post-transplant outcomes.

Indexed as

Brain DeathKidney TransplantationChromatography, LiquidCytoskeletonHumansKidneyLipid MetabolismOrgan PreservationPerfusionProteomicsTandem Mass Spectrometrybiomarker discoverycomplement activationdonation after brain deathhypothermic machine perfusionkidney preservationproteomics

Identifiers

PMID34448265
PMCPMC9292651

What OpenQuestion holds

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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.