Evidence map›Paper›PMID 28615647›Full record

ArticleScientific reports2017

Differential synchrotron X-ray imaging markers based on the renal microvasculature for tubulointerstitial lesions and glomerulopathy.

Yu-Chuan Lin, Yeukuang Hwu, Guo-Shu Huang, Michael Hsiao, Tsung-Tse Lee, Shun-Min Yang, Ting-Kuo Lee, Nan-Yow Chen, Sung-Sen Yang, Ann Chen and 1 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.2field-weighted citation impact, top 42% 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

5 citing papers in PubMed, 14 citations in OpenAlex.

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  5. Frontiers in systems neuroscience · 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

11 authors at 5 institutions in 1 country.

Yu-Chuan LinGraduate Institute of Life Sciences, National Defense Medical Center, Taipei, Taiwan.
Yeukuang HwuInstitute of Physics, Academia Sinica, Taipei, Taiwan.
Guo-Shu HuangDepartment of Radiology, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan.
Michael HsiaoGenomics Research Center, Academia Sinica, Taipei, Taiwan.
Tsung-Tse LeeInstitute of Physics, Academia Sinica, Taipei, Taiwan.
Shun-Min YangInstitute of Physics, Academia Sinica, Taipei, Taiwan.
Ting-Kuo LeeInstitute of Physics, Academia Sinica, Taipei, Taiwan.
Nan-Yow ChenNational Center for High-Performance Computing, Hsinchu, Taiwan.
Sung-Sen YangDivision of Nephrology, Department of Internal Medicine, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan.
Ann ChenGraduate Institute of Life Sciences, National Defense Medical Center, Taipei, Taiwan. annchen31717@gmail.com.
Shuk-Man KaGraduate Institute of Life Sciences, National Defense Medical Center, Taipei, Taiwan. shukmanka@gmail.com.
Institute of Physics, Academia Sinica · TWNational Defense Medical Center · TWTri-Service General Hospital · TWGenomics Research Center, Academia Sinica · TWNational Center for High-Performance Computing · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

High resolution synchrotron microtomography capable of revealing microvessels in three dimensional (3D) establishes distinct imaging markers of mouse kidney disease strongly associated to renal tubulointerstitial (TI) lesions and glomerulopathy. Two complementary mouse models of chronic kidney disease (CKD), unilateral ureteral obstruction (UUO) and focal segmental glomerulosclerosis (FSGS), were used and five candidates of unique 3D imaging markers were identified. Our characterization to differentially reflect the altered microvasculature of renal TI lesions and/or glomerulopathy demonstrated these image features can be used to differentiate the disease status and the possible cause therefore qualified as image markers. These 3D imaging markers were further correlated with the histopathology and renal microvessel-based molecular study using antibodies against vascular endothelial cells (CD31), the connective tissue growth factor or the vascular endothelial growth factor. We also found that these 3D imaging markers individually characterize the development of renal TI lesions or glomerulopathy, quantitative and integrated use of all of them provide more information for differentiating the two renal conditions. Our findings thus establish a practical strategy to characterize the CKD-associated renal injuries by the microangiography-based 3D imaging and highlight the impact of dysfunctional microvasculature as a whole on the pathogenesis of the renal lesions.

Indexed as

AlgorithmsAnimalsBiomarkersImaging, Three-DimensionalKidneyMaleMice, Inbred BALB CMicrovesselsNeovascularization, PathologicRenal Insufficiency, ChronicSynchrotronsTomography, X-Ray ComputedBiomarkers

Identifiers

PMID28615647
PMCPMC5471266
OpenAlexW2624389656

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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.