Chaotropic Surface Arginine Correlates With Protein Corona Formation on Anti‐Fouling Biomaterial Surfaces: A Quantitative Proteomics and Protein Structure Study

ABSTRACT The protein corona determines the biocompatibility of medical devices, yet predicting its composition on anti‐fouling surfaces remains challenging. We performed quantitative proteomic analysis (nano LC‐MS/MS) of proteins adsorbed from human serum onto six model organic surfaces. Identifying over 200 proteins per surface, we found that conventional predictors, such as isoelectric point and molecular weight, failed to explain selective enrichment on non‐fouling films. Statistical analysis of surface amino acid compositions revealed that arginine uniquely distinguishes enriched from diluted proteins ( p = 0.005; Bonferroni‐corrected p = 0.125 over 25 structural descriptors, consistent with a correlation rather than a significance‐corrected effect at the α = 0.05 level). We propose, but do not yet establish causally, that surface‐exposed arginine residues, via their chaotropic guanidinium groups, may contribute to the local disruption of the protective hydration layers of anti‐fouling coatings, thereby facilitating protein accumulation through enhanced protein–surface and protein–protein interactions. These findings identify surface arginine as the leading candidate descriptor for selective adsorption on hydration‐layer–protected biomaterials and provide a hypothesis‐generating framework for the molecular basis of the Vroman effect on non‐fouling surfaces.

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Publication Details

Journal
Advanced Materials Interfaces
Published
2026-08-24
DOI
https://doi.org/10.1002/admi.70652
Primary Topic
Polymer Surface Interaction Studies
Type
article
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article

Chaotropic Surface Arginine Correlates With Protein Corona Formation on Anti‐Fouling Biomaterial Surfaces: A Quantitative Proteomics and Protein Structure Study

Ayano Nomura, Chisato Komura, Tomohiro Hayashi, Guanghao Hu et al.
Advanced Materials Interfaces
Polymer Surface Interaction Studies
article

Chaotropic Surface Arginine Correlates With Protein Corona Formation on Anti‐Fouling Biomaterial Surfaces: A Quantitative Proteomics and Protein Structure Study

Ayano Nomura, Chisato Komura, Tomohiro Hayashi, Guanghao Hu, Hideharu Kurioka, Ang Art Wei Yao
article en

Abstract

ABSTRACT The protein corona determines the biocompatibility of medical devices, yet predicting its composition on anti‐fouling surfaces remains challenging. We performed quantitative proteomic analysis (nano LC‐MS/MS) of proteins adsorbed from human serum onto six model organic surfaces. Identifying over 200 proteins per surface, we found that conventional predictors, such as isoelectric point and molecular weight, failed to explain selective enrichment on non‐fouling films. Statistical analysis of surface amino acid compositions revealed that arginine uniquely distinguishes enriched from diluted proteins ( p = 0.005; Bonferroni‐corrected p = 0.125 over 25 structural descriptors, consistent with a correlation rather than a significance‐corrected effect at the α = 0.05 level). We propose, but do not yet establish causally, that surface‐exposed arginine residues, via their chaotropic guanidinium groups, may contribute to the local disruption of the protective hydration layers of anti‐fouling coatings, thereby facilitating protein accumulation through enhanced protein–surface and protein–protein interactions. These findings identify surface arginine as the leading candidate descriptor for selective adsorption on hydration‐layer–protected biomaterials and provide a hypothesis‐generating framework for the molecular basis of the Vroman effect on non‐fouling surfaces.

Advanced Materials Interfaces
Tokyo Institute of Technology (JP), Kyocera (Japan) (JP)
Openalex Percentile: Top 23%
Polymer Surface Interaction Studies
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Chaotropic Surface Arginine Correlates With Protein Corona Formation on Anti‐Fouling Biomaterial Surfaces: A Quantitative Proteomics and Protein Structure Study — Ayano Nomura, Chisato Komura, et al. · Advanced Materials Interfaces (2026) | TGRS Research Map | TGRS