Evidence map›Paper›PMID 30702282›Full record

ArticleAnalytical chemistry2019

Rapid Identification of Ischemic Injury in Renal Tissue by Mass-Spectrometry Imaging.

T C van Smaalen, S R Ellis, N E Mascini, T Porta Siegel, B Cillero-Pastor, L M Hillen, L W E van Heurn, C J Peutz-Kootstra, R M A Heeren

Open access · hybridAbstract read
In one paragraph

Article in Analytical chemistry, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
2.8field-weighted citation impact, top 9% 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

18 citing papers in PubMed, 47 citations in OpenAlex.

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  12. Multi-omic approaches to acute kidney injury and repair.Current opinion in biomedical engineering · 2021
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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

9 authors at 1 institution in 1 country.

T C van SmaalenDepartment of Surgery , Maastricht University Medical Center+ , 6229 HX Maastricht , The Netherlands.
S R EllisThe Maastricht Multimodal Molecular Imaging Institute (M4I), Division of Imaging Mass Spectrometry , Maastricht University , 6200 MD Maastricht , The Netherlands.ORCID 0000-0002-3326-5991
N E MasciniThe Maastricht Multimodal Molecular Imaging Institute (M4I), Division of Imaging Mass Spectrometry , Maastricht University , 6200 MD Maastricht , The Netherlands.
T Porta SiegelThe Maastricht Multimodal Molecular Imaging Institute (M4I), Division of Imaging Mass Spectrometry , Maastricht University , 6200 MD Maastricht , The Netherlands.ORCID 0000-0001-5454-1863
B Cillero-PastorThe Maastricht Multimodal Molecular Imaging Institute (M4I), Division of Imaging Mass Spectrometry , Maastricht University , 6200 MD Maastricht , The Netherlands.ORCID 0000-0002-7407-1165
L M HillenDepartment of Pathology, Cardiovascular Research Institute Maastricht (CARIM) , Maastricht University Medical Center+ , 6229 HX Maastricht , The Netherlands.
L W E van HeurnDepartment of Surgery , Maastricht University Medical Center+ , 6229 HX Maastricht , The Netherlands.
C J Peutz-KootstraDepartment of Pathology, Cardiovascular Research Institute Maastricht (CARIM) , Maastricht University Medical Center+ , 6229 HX Maastricht , The Netherlands.
R M A HeerenThe Maastricht Multimodal Molecular Imaging Institute (M4I), Division of Imaging Mass Spectrometry , Maastricht University , 6200 MD Maastricht , The Netherlands.ORCID 0000-0002-6533-7179
Maastricht University · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The increasing analytical speed of mass-spectrometry imaging (MSI) has led to growing interest in the medical field. Acute kidney injury is a severe disease with high morbidity and mortality. No reliable cut-offs are known to estimate the severity of acute kidney injury. Thus, there is a need for new tools to rapidly and accurately assess acute ischemia, which is of clinical importance in intensive care and in kidney transplantation. We investigated the value of MSI to assess acute ischemic kidney tissue in a porcine model. A perfusion model was developed where paired kidneys received warm (severe) or cold (minor) ischemia ( n = 8 per group). First, ischemic tissue damage was systematically assessed by two blinded pathologists. Second, MALDI-MSI of kidney tissues was performed to study the spatial distributions and compositions of lipids in the tissues. Histopathological examination revealed no significant difference between kidneys, whereas MALDI-MSI was capable of a detailed discrimination of severe and mild ischemia by differential expression of characteristic lipid-degradation products throughout the tissue within 2 h. In particular, lysolipids, including lysocardiolipins, lysophosphatidylcholines, and lysophosphatidylinositol, were dramatically elevated after severe ischemia. This study demonstrates the significant potential of MSI to differentiate and identify molecular patterns of early ischemic injury in a clinically acceptable time frame. The observed changes highlight the underlying biochemical processes of acute ischemic kidney injury and provide a molecular classification tool that can be deployed in assessment of acute ischemic kidney injury.

Indexed as

Acute Kidney InjuryAnimalsReperfusion InjurySpectrometry, Mass, Matrix-Assisted Laser Desorption-IonizationSwine

Identifiers

PMID30702282
PMCPMC6581420
OpenAlexW2912293814

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.