Evidence mapPaperPMID 35577931Full record

ArticleAnalytical and bioanalytical chemistry2022

An SPR-based method for Hill coefficient measurements: the case of insulin-degrading enzyme.

Alessia Distefano, Gabriele Antonio Zingale, Giuseppe Grasso

Abstract read
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In one paragraph

Article in Analytical and bioanalytical chemistry, 2022. 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
0.9field-weighted citation impact, top 29% 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, 10 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

3 authors at 1 institution in 1 country.

Alessia DistefanoChemical Science Department, University of Catania, Viale Andrea Doria 6, Catania, 95125, Italy.
Gabriele Antonio ZingaleChemical Science Department, University of Catania, Viale Andrea Doria 6, Catania, 95125, Italy.
Giuseppe GrassoChemical Science Department, University of Catania, Viale Andrea Doria 6, Catania, 95125, Italy. grassog@unict.it.ORCID http://orcid.org/0000-0002-7179-4835
University of Catania · IT

Funding

Universita degli studi di Catania PhD program in Chemical SciencesUniversita degli studi di Catania Programma Ricerca di Ateneo Unict 2020-2022-Li
6 · The paper itself

Abstract

Insulin-degrading enzyme (IDE) is a highly conserved zinc metallopeptidase and is capable to catalytically cleave several substrates besides insulin, playing a pivotal role in several different biochemical pathways. Although its mechanism of action has been widely investigated, many conundrums still remain, hindering the possibility to rationally design specific modulators which could have important therapeutical applications in several diseases such as diabetes and Alzheimer's disease. In this scenario, we have developed a novel surface plasmon resonance (SPR) method which allows for directly measuring the enzyme cooperativity for the binding of insulin in the presence of different IDE activity modulators: carnosine, ATP, and EDTA. Results indicate that both positive and negative modulations of the IDE activity can be correlated to an increase and a decrease of the measured Hill coefficient, respectively, giving a new insight into the IDE activity mechanism. The use of the IDE R767A mutant for which oligomerization is hindered confirmed that the positive allosteric modulation of IDE by carnosine is due to a change in the enzyme oligomeric state occurring also for the enzyme immobilized on the gold SPR chip.

Indexed as

Alzheimer DiseaseCarnosineInsulysinHumansInsulinSurface Plasmon ResonanceCarnosineInsulinInsulysinBioanalytical methodsBioassaysBiosensorsEnzymesKinetics

Identifiers

PMID35577931
OpenAlexW4280537469

What Socratic 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 Socratic graph.