Evidence map›Paper›PMID 42619019›Full record

ArticleChemMedChem2026

Crowding Effects on Insulin Aggregation Using Synthetic and Mixed Crowders.

Satya Ranjan Pallai, Tejas Nikam, Shashi Prakash Patel, Shubhini A Saraf, Saurabh Awasthi

Abstract read
In one paragraph

Article in ChemMedChem, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

5 authors.

Satya Ranjan PallaiDepartment of Biotechnology, National Institute of Pharmaceutical Education and Research, Raebareli (NIPER-R), Lucknow, Uttar Pradesh, India.
Tejas NikamDepartment of Pharmaceutics, National Institute of Pharmaceutical Education and Research, Raebareli (NIPER-R), Lucknow, Uttar Pradesh, India.ORCID https://orcid.org/0009-0008-7263-1596
Shashi Prakash PatelDepartment of Biotechnology, National Institute of Pharmaceutical Education and Research, Raebareli (NIPER-R), Lucknow, Uttar Pradesh, India.
Shubhini A SarafDepartment of Pharmaceutics, National Institute of Pharmaceutical Education and Research, Raebareli (NIPER-R), Lucknow, Uttar Pradesh, India.ORCID https://orcid.org/0000-0002-4180-0931
Saurabh AwasthiDepartment of Biotechnology, National Institute of Pharmaceutical Education and Research, Raebareli (NIPER-R), Lucknow, Uttar Pradesh, India.ORCID https://orcid.org/0000-0002-7243-5578

Funding

Anusandhan National Research Foundation ANRF/ECRG/2024/005981/LSCoE Novel Drug Delivery Systems (NDDS) National Institute of Pharmaceutical Education and Research, RaebareliDepartment of Biotechnology, Ministry of Science and Technology, India BT/RLF/Re-Entry/40/2021
6 · The paper itself

Abstract

Protein aggregation is implicated in several human diseases and presents an important challenge in the development of stable protein therapeutics. Here, we examine how macromolecular crowding affects insulin amyloid aggregation using polyethylene glycol, Dextran-70, and PVP-10, including binary and ternary mixtures. Aggregation was assessed by Thioflavin-T fluorescence and supported by circular dichroism and atomic force microscopy. PEG 10K showed a biphasic response, with increased ThT intensity at low concentration and markedly reduced signals at higher concentrations, whereas PEG 1, 4, and 6K were largely inhibitory across the tested range. At higher concentration of 100 mg/mL, both Dextran-70 and PVP-10 exhibited reduced ThT intensity, although Dextran-70 showed higher beta-sheet content than PVP-10, as revealed from CD spectroscopic analysis. In mixed crowder systems, Dextran-70 containing binary mixtures produced high ThT signals among the tested binary combinations, while PVP-10-containing mixtures showed lower β-sheet content and short fibrillar structures. Among ternary mixtures, PEG 1K + PEG 10K + PVP-10 produced the lowest aggregation-associated response. Rheology was consistent with a viscosity-linked contribution at higher PEG concentrations, and docking provided supportive, qualitative comparison of crowder-insulin surface contacts. These findings demonstrate that insulin aggregation responses depend on crowder identity, molecular weight, concentration, and mixture composition.

Indexed as

DextransInsulinPolyethylene GlycolsBenzothiazolesCircular DichroismHumansPovidoneProtein AggregatesBenzothiazolesDextransInsulinPolyethylene GlycolsPovidoneProtein Aggregatesthioflavin Tamyloid fibrilsDextran 70macromolecular crowdingpolyethylene glycol (PEG)PVP‐10

Identifiers

PMID42619019
PMCPMC13490616

What Socratic holds

Textmetadata
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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 Socratic graph.