Evidence map›Paper›PMID 41549226›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2026

All-PEG-Like Block Copolymers Self-Assemble into Stealth Nanocarriers for Drug Delivery.

Parul Sirohi, Brooke E Silverstein, Yulia Shmidov, Sonal Deshpande, Joy Tong, Yvonne Y Ma, Chinmay S Potnis, Soumen Saha, Xinghai Li, Max R Ney and 6 more

Abstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

16 authors.

Parul SirohiDepartment of Biomedical Engineering, Duke University, Durham, North Carolina, USA.ORCID https://orcid.org/0000-0002-5791-3383
Brooke E SilversteinDepartment of Biomedical Engineering, Duke University, Durham, North Carolina, USA.
Yulia ShmidovDepartment of Biomedical Engineering, Duke University, Durham, North Carolina, USA.
Sonal DeshpandeDepartment of Biomedical Engineering, Duke University, Durham, North Carolina, USA.
Joy TongDepartment of Biomedical Engineering, Duke University, Durham, North Carolina, USA.
Yvonne Y MaDepartment of Biomedical Engineering, Duke University, Durham, North Carolina, USA.
Chinmay S PotnisDepartment of Biomedical Engineering, Duke University, Durham, North Carolina, USA.
Soumen SahaDepartment of Biomedical Engineering, Duke University, Durham, North Carolina, USA.
Xinghai LiDepartment of Biomedical Engineering, Duke University, Durham, North Carolina, USA.
Max R NeyDepartment of Biomedical Engineering, Duke University, Durham, North Carolina, USA.
Sarah Y KimDepartment of Biomedical Engineering, Duke University, Durham, North Carolina, USA.
Joshua J MilliganDepartment of Biomedical Engineering, Duke University, Durham, North Carolina, USA.
Lixin FanBasic Science Program, Frederick National Laboratory for Cancer Research, SAXS Facility of the National Cancer Institute, Frederick, Maryland, USA.
Matthew L BeckerDepartment of Biomedical Engineering, Duke University, Durham, North Carolina, USA.
Daniel RekerDepartment of Biomedical Engineering, Duke University, Durham, North Carolina, USA.
Ashutosh ChilkotiDepartment of Biomedical Engineering, Duke University, Durham, North Carolina, USA.ORCID https://orcid.org/0000-0002-1569-2228

Funding

WORK ORDER 126643 B539 EXPAND IC SUITE75N91019D00024 · NIAID · LEIDOS BIOMEDICAL RESEARCH, INC. · PI PENDLETON, RICHARD · 2019 to 2025
$3932.6M
X-ray Scattering Technology CoreP30GM133893 · NIGMS · BROOKHAVEN SCIENCE ASSOC-BROOKHAVEN LAB · PI Sean McSweeney · 2019 to 2026
$38.6M
DOE Office of Biological and Environmental Research KP1605010National Nanotechnology Coordinated InfrastructureNational Science Foundation ECCS-2025064NCI NIH HHS 75N91019D00024NIGMS NIH HHS P30GM133893ODCDC CDC HHS S10 OD012331Office of Basic Energy Sciences Program DE-SC0012704Office of ScienceU.S. Department of Energy
6 · The paper itself

Abstract

Poly(oligo(ethylene glycol) methyl ether methacrylate) (POEGMA) is a stealth polymer that does not exhibit polyethylene glycol (PEG) antigenicity. Herein, we engineered self-assembling nanoparticles composed entirely of POEGMA by designing AB diblock copolymers with varying oligo(ethylene glycol) (EG) side chains. We found that a one-unit difference between di- and tri-ethylene glycol side chains is sufficient to induce amphiphilicity and enables temperature-triggered self-assembly above room temperature when the block length ratio is at least 0.25. To broaden the temperature stability window, we increased amphiphilicity by incorporating mono-ethylene glycol into the hydrophobic block via random copolymerization, yielding nanoparticles stable between 20°C-40°C. These POEGMA nanoparticles effectively encapsulate diverse hydrophobic drugs with high loading efficiency. Notably, POEGMA-encapsulated doxorubicin retained the drug's in vitro activity and exhibited enhanced in vivo efficacy compared to free doxorubicin due to improved pharmacokinetics. Furthermore, these nanoparticles demonstrated stealth behavior by evading recognition by anti-PEG antibodies. This study introduces a versatile, fully POEGMA-based platform for stealth drug delivery with tunable thermal responsiveness and high therapeutic potential.

Indexed as

DoxorubicinDrug CarriersDrug Delivery SystemsNanoparticlesPolyethylene GlycolsPolymersAnimalsHumansHydrophobic and Hydrophilic InteractionsMiceDoxorubicinDrug CarriersPOEGMAPolyethylene GlycolsPolymersanti‐PEGblock copolymerdrug deliveryself‐assemblystealth nanoparticles

Identifiers

PMID41549226
PMCPMC13042870

What OpenQuestion holds

Textmetadata
LicenceCC BY
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 OpenQuestion graph.