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Body Mass Index-Specific Nanoparticle Protein Corona Signatures in Late Pregnancy
Samantha Velazquez1, Matthew C Juber2, Michele Okun3
1Department of Biology, University of Colorado Colorado Springs, Colorado Springs, CO, USA.
Biorxiv : the Preprint Server for Biology
|June 5, 2026
Summary
Maternal body mass index (BMI) alters the protein corona (PC) on nanoparticles, revealing distinct protein profiles linked to obesity or normal weight during pregnancy. This suggests PC analysis could non-invasively assess maternal metabolic health.
Area of Science:
- Biomedical Nanotechnology
- Maternal-Fetal Medicine
- Proteomics
Background:
- The nanoparticle protein corona (PC) is a dynamic bio-interface reflecting host physiological status.
- Maternal metabolic health, particularly body mass index (BMI), can influence pregnancy outcomes.
- Understanding nano-bio interactions is crucial for nanomedicine applications.
Purpose of the Study:
- To investigate the impact of maternal BMI on the protein corona composition of nanoparticles during late pregnancy.
- To identify specific protein signatures associated with different maternal BMI categories.
Main Methods:
- Incubation of polystyrene nanoparticles with plasma from pregnant individuals across normal, overweight, and obese BMI categories.
- Characterization using dynamic light scattering (DLS), zeta potential, and transmission electron microscopy (TEM).
- Proteomic analysis via SDS-PAGE and label-free quantitative proteomics, followed by principal component analysis (PCA).
Main Results:
- BMI-dependent differences in PC thickness and colloidal stability were observed.
- Obese-derived PCs were enriched in inflammatory and lipid metabolism proteins (e.g., APOE, CRP).
- Normal weight-derived PCs showed higher levels of complement regulators and extracellular matrix proteins, with distinct proteomic profiles by BMI group.
Conclusions:
- Maternal metabolic phenotype significantly shapes nanoparticle protein corona composition at the proteomic level.
- Protein corona profiling offers a potential non-invasive method for assessing maternal health and metabolic status.
- This research supports the integration of nanoparticle-based proteomics into precision nanomedicine for maternal-fetal health monitoring.

