Evidence map›Paper›PMID 31358807›Full record

ArticleScientific reports2019

Early detection of unilateral ureteral obstruction by desorption electrospray ionization mass spectrometry.

Shibdas Banerjee, Anny Chuu-Yun Wong, Xin Yan, Bo Wu, Hongjuan Zhao, Robert J Tibshirani, Richard N Zare, James D Brooks

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.9field-weighted citation impact, top 27% 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

8 citing papers in PubMed, 19 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

8 authors at 3 institutions in 2 countries.

Shibdas BanerjeeDepartment of Chemistry, Stanford University, Stanford, CA, 94305, USA.
Anny Chuu-Yun WongDepartment of Urology, Stanford University School of Medicine, Stanford, CA, 94305, USA.
Xin YanDepartment of Chemistry, Stanford University, Stanford, CA, 94305, USA.
Bo WuDepartment of Urology, Stanford University School of Medicine, Stanford, CA, 94305, USA.
Hongjuan ZhaoDepartment of Urology, Stanford University School of Medicine, Stanford, CA, 94305, USA.
Robert J TibshiraniDepartments of Biomedical Data Sciences, and of Statistics, Stanford University, Stanford, CA, 94305, USA.
Richard N ZareDepartment of Chemistry, Stanford University, Stanford, CA, 94305, USA. zare@stanford.edu.
James D BrooksDepartment of Urology, Stanford University School of Medicine, Stanford, CA, 94305, USA. jdbrooks@stanford.edu.ORCID http://orcid.org/0000-0003-4521-7505
Stanford University · USStanford Medicine · USIndian Institute of Science Education and Research, Tirupati · IN

Funding

RNA markers of renal damage due to obstructionR01DK101736 · NIDDK · STANFORD UNIVERSITY · PI BROOKS, JAMES D. · 2015 to 2017
$712k
NIDDK NIH HHS R01 DK101736
6 · The paper itself

Abstract

Desorption electrospray ionization mass spectrometry (DESI-MS) is an emerging analytical tool for rapid in situ assessment of metabolomic profiles on tissue sections without tissue pretreatment or labeling. We applied DESI-MS to identify candidate metabolic biomarkers associated with kidney injury at the early stage. DESI-MS was performed on sections of kidneys from 80 mice over a time course following unilateral ureteral obstruction (UUO) and compared to sham controls. A predictive model of renal damage was constructed using the LASSO (least absolute shrinkage and selection operator) method. Levels of lipid and small metabolites were significantly altered and glycerophospholipids comprised a significant fraction of altered species. These changes correlate with altered expression of lipid metabolic genes, with most genes showing decreased expression. However, rapid upregulation of PG(22:6/22:6) level appeared to be a hitherto unknown feature of the metabolic shift observed in UUO. Using LASSO and SAM (significance analysis of microarrays), we identified a set of well-measured metabolites that accurately predicted UUO-induced renal damage that was detectable by 12 h after UUO, prior to apparent histological changes. Thus, DESI-MS could serve as a useful adjunct to histology in identifying renal damage and demonstrates early and broad changes in membrane associated lipids.

Indexed as

Lipid MetabolismSpectrometry, Mass, Electrospray IonizationAnimalsBiomarkersEarly DiagnosisKidneyLipidsMice, Inbred C57BLUreteral ObstructionBiomarkersLipids

Identifiers

PMID31358807
PMCPMC6662848
OpenAlexW2966528656

What OpenQuestion holds

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LicenceCC BY
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.