Evidence map›Paper›PMID 33479331›Full record

ArticleScientific reports2021

Application of multiparametric MR imaging to predict the diversification of renal function in miR29a-mediated diabetic nephropathy.

Chia-Hao Su, Yung-Chien Hsu, Suresh Thangudu, Wei-Yu Chen, Yu-Ting Huang, Chun-Chieh Yu, Ya-Hsueh Shih, Ching-Jen Wang, Chun-Liang Lin

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.0field-weighted citation impact, top 26% 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

7 citing papers in PubMed, 10 citations in OpenAlex.

  1. Review
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  5. Magnetic, biocompatible FeCOJournal of nanobiotechnology · 2022
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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 4 institutions in 1 country.

Chia-Hao Su *Institute for Translational Research in Biomedicine, Kaohsiung Chang Gung Memorial Hospital, Kaohsiung, Taiwan.
Yung-Chien Hsu *Department of Nephrology, Chang Gung Memorial Hospital, 6 West, Chia-Pu Road, Putzu City, Chiayi, Taiwan.
Suresh ThanguduInstitute for Translational Research in Biomedicine, Kaohsiung Chang Gung Memorial Hospital, Kaohsiung, Taiwan.
Wei-Yu ChenInstitute for Translational Research in Biomedicine, Kaohsiung Chang Gung Memorial Hospital, Kaohsiung, Taiwan.
Yu-Ting HuangDepartment of Nephrology, Chang Gung Memorial Hospital, 6 West, Chia-Pu Road, Putzu City, Chiayi, Taiwan.
Chun-Chieh YuInstitute for Translational Research in Biomedicine, Kaohsiung Chang Gung Memorial Hospital, Kaohsiung, Taiwan.
Ya-Hsueh ShihDepartment of Nephrology, Chang Gung Memorial Hospital, 6 West, Chia-Pu Road, Putzu City, Chiayi, Taiwan.
Ching-Jen WangDepartment of Medical Research, Center for Shockwave Medicine and Tissue Engineering, Kaohsiung, Taiwan.
Chun-Liang LinDepartment of Nephrology, Chang Gung Memorial Hospital, 6 West, Chia-Pu Road, Putzu City, Chiayi, Taiwan. linchunliang@adm.cgmh.org.tw.
Kaohsiung Chang Gung Memorial Hospital · TWChang Gung Memorial Hospital · TWChang Gung University · TWChiayi Chang Gung Memorial Hospital · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diabetic nephropathy (DN) is one of the major leading cause of kidney failure. To identify the progression of chronic kidney disease (CKD), renal function/fibrosis is playing a crucial role. Unfortunately, lack of sensitivities/specificities of available clinical biomarkers are key major issues for practical healthcare applications to identify the renal functions/fibrosis in the early stage of DN. Thus, there is an emerging approach such as therapeutic or diagnostic are highly desired to conquer the CKD at earlier stages. Herein, we applied and examined the application of dynamic contrast enhanced magnetic resonance imaging (DCE-MRI) and diffusion weighted imaging (DWI) to identify the progression of fibrosis between wild type (WT) and miR29a transgenic (Tg) mice during streptozotocin (STZ)-induced diabetes. Further, we also validate the potential renoprotective role of miR29a to maintain the renal perfusion, volume, and function. In addition, Ktrans values of DCE-MRI and apparent diffusion coefficient (ADC) of DWI could significantly reflect the level of fibrosis between WT and Tg mice at identical conditions. As a result, we strongly believed that the present non-invasive MR imaging platforms have potential to serveas an important tool in research and clinical imaging for renal fibrosis in diabetes, and that microenvironmental changes could be identified by MR imaging acquisition prior to histological biopsy and diabetic podocyte dysfunction.

Indexed as

AnimalsBiopsyContrast MediaDiabetes Mellitus, ExperimentalDiabetic NephropathiesDiffusion Magnetic Resonance ImagingDisease ProgressionFibrosisHumansKidneyMagnetic Resonance ImagingMaleMiceMice, TransgenicMicroRNAsMiddle AgedContrast MediaMicroRNAsMIRN29a microRNA, human

Identifiers

PMID33479331
PMCPMC7820287
OpenAlexW3121700776

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.