Evidence map›Paper›PMID 39273350›Full record

ArticleInternational journal of molecular sciences2024

Study of Insulin Aggregation and Fibril Structure under Different Environmental Conditions.

Mantas Ziaunys, Kamile Mikalauskaite, Andrius Sakalauskas, Vytautas Smirnovas

Abstract read
In one paragraph

Article in International journal of molecular sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
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

4 citing papers in PubMed.

  1. Article
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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.

Mantas ZiaunysInstitute of Biotechnology, Life Sciences Center, Vilnius University, LT-10257 Vilnius, Lithuania.
Kamile MikalauskaiteInstitute of Biotechnology, Life Sciences Center, Vilnius University, LT-10257 Vilnius, Lithuania.
Andrius SakalauskasInstitute of Biotechnology, Life Sciences Center, Vilnius University, LT-10257 Vilnius, Lithuania.ORCID 0000-0002-2715-067X
Vytautas SmirnovasInstitute of Biotechnology, Life Sciences Center, Vilnius University, LT-10257 Vilnius, Lithuania.ORCID 0000-0002-1829-5455

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Protein amyloid aggregation is linked with widespread and fatal neurodegenerative disorders as well as several amyloidoses. Insulin, a small polypeptide hormone, is associated with injection-site amyloidosis and is a popular model protein for in vitro studies of amyloid aggregation processes as well as in the search for potential anti-amyloid compounds. Despite hundreds of studies conducted with this specific protein, the procedures used have employed a vast array of different means of achieving fibril formation. These conditions include the use of different solution components, pH values, ionic strengths, and other additives. In turn, this variety of conditions results in the generation of fibrils with different structures, morphologies and stabilities, which severely limits the possibility of cross-study comparisons as well as result interpretations. In this work, we examine the condition-structure relationship of insulin amyloid aggregation under a range of commonly used pH and ionic strength conditions as well as solution components. We demonstrate the correlation between the reaction solution properties and the resulting aggregation kinetic parameters, aggregate secondary structures, morphologies, stabilities and dye-binding modes.

Indexed as

AmyloidInsulinProtein AggregatesHumansHydrogen-Ion ConcentrationKineticsOsmolar ConcentrationProtein Aggregation, PathologicalProtein Structure, SecondaryAmyloidInsulinProtein Aggregatesamyloidsenvironmental conditionsfibril structureinsulinprotein aggregation

Identifiers

PMID39273350
PMCPMC11395423

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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.