Evidence map›Paper›PMID 39548452›Full record

ReviewJournal of nanobiotechnology2024

The role of patient-specific variables in protein corona formation and therapeutic efficacy in nanomedicine.

Ethan P Cisneros, Brinkley A Morse, Ani Savk, Khyati Malik, Nicholas A Peppas, Olivia L Lanier

Abstract readReview
In one paragraph

Review in Journal of nanobiotechnology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing 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

27 citing papers in PubMed.

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  7. Engineered MoSNanomaterials (Basel, Switzerland) · 2026
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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

6 authors.

Ethan P CisnerosDepartment of Biomedical Engineering, Northwestern University, Evanston, IL, USA.
Brinkley A MorseInstitute for Biomaterials, Drug Delivery, and Regenerative Medicine, The University of Texas at Austin, Austin, TX, USA.
Ani SavkMcKetta Department of Chemical Engineering, The University of Texas at Austin, Austin, TX, USA.
Khyati MalikInstitute for Biomaterials, Drug Delivery, and Regenerative Medicine, The University of Texas at Austin, Austin, TX, USA.
Nicholas A PeppasMcKetta Department of Chemical Engineering, The University of Texas at Austin, Austin, TX, USA.
Olivia L LanierDepartment of Chemical and Biological Engineering, University of New Mexico, Albuquerque, NM, USA. olivialanier@unm.edu.

Funding

Sensor arrays based on molecularly imprinted polymers for diagnosis of Sjogren's syndromeR01EB022025 · NIBIB · UNIVERSITY OF TEXAS AT AUSTIN · PI ANSLYN, ERIC V., PEPPAS, NICHOLAS A · 2016 to 2019
$1.5M
NIH HHS R01-EB022025
6 · The paper itself

Abstract

Despite their potential, the adoption of nanotechnology in therapeutics remains limited, with only around eighty nanomedicines approved in the past 30 years. This disparity is partly due to the "one-size-fits-all" approach in medical design, which often overlooks patient-specific variables such as biological sex, genetic ancestry, disease state, environment, and age that influence nanoparticle behavior. Nanoparticles (NPs) must be transported through systemic, microenvironmental, and cellular barriers that vary across heterogeneous patient populations. Key patient-dependent properties impacting NP delivery include blood flow rates, body fat distribution, reproductive organ vascularization, hormone and protein levels, immune responses, and chromosomal differences. Understanding these variables is crucial for developing effective, patient-specific nanotechnologies. The formation of a protein corona around NPs upon exposure to biological fluids significantly alters NP properties, affecting biodistribution, pharmacokinetics, cytotoxicity, and organ targeting. The dynamics of the protein corona, such as time-dependent composition and formation of soft and hard coronas, depend on NP characteristics and patient-specific serum components. This review highlights the importance of understanding protein corona formation across different patient backgrounds and its implications for NP design, including sex, ancestry, age, environment, and disease state. By exploring these variables, we aim to advance the development of personalized nanomedicine, improving therapeutic efficacy and patient outcomes.

Indexed as

NanomedicineNanoparticlesProtein CoronaAnimalsFemaleHumansPrecision MedicineTissue DistributionProtein CoronaNanomedicineNanoparticlesNanotechnologyProtein corona

Identifiers

PMID39548452
PMCPMC11566257

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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.