Evidence map›Paper›PMID 30918854›Full record

ArticleJournal of diabetes and metabolic disorders2018

Endothelin-1 traps potently reduce pathologic markers back to basal levels in an in vitro model of diabetes.

Arjun Jain, Shali Chen, Hannah Yong, Subrata Chakrabarti

Open access · bronzeAbstract read
In one paragraph

Article in Journal of diabetes and metabolic disorders, 2018. 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
1.6field-weighted citation impact, top 16% 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, 17 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

4 authors at 2 institutions in 2 countries.

Arjun Jain1Department of Physiology, Development and Neuroscience, University of Cambridge, Cambridge, UK.ORCID 0000-0001-7338-9553
Shali Chen2Department of Pathology, University of Western Ontario, London, ON Canada.
Hannah Yong1Department of Physiology, Development and Neuroscience, University of Cambridge, Cambridge, UK.
Subrata Chakrabarti2Department of Pathology, University of Western Ontario, London, ON Canada.
University of Cambridge · GBWestern University · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDiabetes mellitus is a group of metabolic disorders in which there are high blood glucose levels over a prolonged period. Diabetes is one of many diseases associated with pathologically elevated levels of endothelin (ET)-1. We have recently proposed the development of ET-traps, which are an antibody - based fusion protein that potently bind and sequester pathologically elevated levels of endothelin-1.

methodsWe constructed ET-traps that were found to be very potent binders to ET-1, with a K

resultsIn this study, we investigated the effects of our ET-trap constructs on the expression levels of both collagen 4α1 and fibronectin, which are both important pathologic markers in diabetes. Treating HRMECs with 10 nM ET-1 or 25 mM glucose significantly induces the expression of the ECM proteins fibronectin and collagen 4α1, as is found in chronic diabetic complications; Incubation of the cells with the ET-traps significantly prevented the increased expression of fibronectin and collagen 4α1 back to basal levels. This was found with both mRNA and protein expression levels of the two ECM proteins.

conclusionOur results provide the first evidence of the efficacy of ET-traps in reducing pathologic markers in an in vitro model (of diabetes). Further research is warranted to determine the efficacy of ET-traps as a therapeutic tool for diabetes, which is a major public health burden around the world.

Indexed as

Diabetes mellitus; ECMDMEndothelin-1; ETtrEndothelin-1 traps; FFPExtracellular matrix; ET-1Fc-fusion protein; FNFibronectin

Identifiers

PMID30918854
PMCPMC6405379
OpenAlexW2896520640

What OpenQuestion holds

Textmetadata
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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.