Evidence map›Paper›PMID 41773051›Full record

ReviewNanomedicine (London, England)2026

Nanoparticulate protectants for the dry storage of protein therapeutics.

Junha Park, Marcio F R Resende, Gregory A Hudalla

Abstract readReview
In one paragraph

Review in Nanomedicine (London, England), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Junha ParkJ. Crayton Pruitt Family Department of Biomedical Engineering, Wertheim College of Engineering, University of Florida, Gainesville, FL, USA.
Marcio F R ResendeHorticultural Sciences Department, University of Florida, Gainesville, FL, USA.
Gregory A HudallaJ. Crayton Pruitt Family Department of Biomedical Engineering, Wertheim College of Engineering, University of Florida, Gainesville, FL, USA.

Funding

Glycosylation as a Structural Determinant in Peptide FibrillizationR35GM133697 · NIGMS · UNIVERSITY OF FLORIDA · PI HUDALLA, GREGORY · 2019 to 2023
$1.9M
NIGMS NIH HHS R35 GM133697
6 · The paper itself

Abstract

Protein therapeutics are a cornerstone of modern medicine, yet their inherent instability often requires expensive and energy-intensive cold-chain logistics to maintain efficacy. Dry-state formulations offer a viable strategy to enhance protein stability, but the associated drying processes, such as lyophilization and spray drying, can introduce stresses that damage protein molecules. While excipients are widely used to protect proteins during dehydration, conventional formulations often require protein-specific, iterative optimization. Further, protein stabilizing excipients can crystallize during storage, thereby reducing product quality, increase product viscosity beyond thresholds for injection, and raise safety concerns. Nanoparticulate excipients are receiving increasing attention to address these challenges. This article provides an overview of nanoparticle excipients showing promise for stabilizing proteins during drying processes. It is envisioned that nanoparticulates may advance toward universal excipients capable of stabilizing a variety of proteins without the need for cumbersome optimization while also providing robust biocompatibility.

Indexed as

Drug StorageExcipientsNanoparticlesProteinsAnimalsBiocompatible MaterialsDrug StabilityFreeze DryingHumansProtein StabilitySpray DryingViscosityBiocompatible MaterialsExcipientsProteinsdry-state formulationexcipientmanufacturingnanoparticulateProtein therapeutics

Identifiers

PMID41773051
PMCPMC13048577

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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 OpenQuestion graph.