Evidence map›Paper›PMID 40370205›Full record

ArticleAdvanced materials (Deerfield Beach, Fla.)2025

Polyanhydride-Based Microparticles for Programmable Pulsatile Release of Diphtheria Toxoid (DT) for Single-Injection Self-Boosting Vaccines.

Linzixuan Zhang, Ruiqing Xiao, Wenhao Gao, Johnny Garcia, Xinyan Pan, John L Daristotle, Timothy Forster, Jooli Han, Mehr Chaddah, Dhruv Varshney and 8 more

Abstract read
In one paragraph

Article in Advanced materials (Deerfield Beach, Fla.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Acta pharmaceutica Sinica. B · 2026
    Review
  2. Article
  3. Article
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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

18 authors.

Linzixuan ZhangDepartment of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA.ORCID https://orcid.org/0000-0001-7163-4906
Ruiqing XiaoDavid H. Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA.
Wenhao GaoDepartment of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA.ORCID https://orcid.org/0000-0002-8271-8723
Johnny GarciaDavid H. Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA.
Xinyan PanDepartment of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA.ORCID https://orcid.org/0009-0002-3044-1934
John L DaristotleDavid H. Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA.ORCID https://orcid.org/0000-0002-3523-5390
Timothy ForsterDavid H. Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA.
Jooli HanDavid H. Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA.
Mehr ChaddahDavid H. Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA.
Dhruv VarshneyDavid H. Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA.
Nandita MenonDavid H. Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA.
Kevin J McHughDepartment of Bioengineering, Rice University, Houston, TX, 77005, USA.ORCID https://orcid.org/0000-0001-6801-4431
Benjamin J PedrettiDepartment of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA.
Jing Ying YeoDepartment of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA.ORCID https://orcid.org/0000-0002-5313-7874
Xin YangDavid H. Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA.
Sydney MacDonaldDavid H. Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA.
Robert LangerDepartment of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA.ORCID https://orcid.org/0000-0003-4255-0492
Ana JaklenecDavid H. Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA.ORCID https://orcid.org/0000-0001-6096-0538

Funding

VIRUS PRODUCTION COREP30CA014051 · NCI · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI Paula T Hammond · 1985 to 2026
$93.9M
Abdul Latif Jameel Water and Food Systems Lab, Massachusetts Institute of TechnologyNCI NIH HHS P30 CA014051NCI NIH HHS P30-CA14051
6 · The paper itself

Abstract

Vaccination remains a critical tool in preventing infectious diseases, yet its effectiveness is undermined by under-immunization, particularly for vaccines requiring multiple doses that patients fail to complete. To address this challenge, the development of single-injection platforms delivering self-boosting vaccines has gained significant attention. Despite some advances, translating these platforms into clinical applications has been limited. In this study, a novel polyanhydride-based polymeric delivery platform is introduced, designed for single-injection self-boosting vaccines, replacing multiple doses. Over 20 polyanhydride polymers are synthesized and screened, ultimately down selecting to 6 for in vitro studies, and 2 for in vivo studies. Using diphtheria toxoid (DT) as a model antigen, programmed pulsatile release with a narrow window is demonstrated, ideal for self-boosting immunization. The platform effectively protects the pH-sensitive antigen before release, achieving recovery rate of 39.7% to 89.7%. The system's tunability is further enhanced by machine learning algorithms, which accurately predict release profiles, confirmed through experimental validation. In vivo studies in a mouse model reveals that the platform induces DT-specific antibody responses comparable to those generated by traditional multi-dose regimens. Collectively, these findings highlight the potential of this platform to deliver various vaccines, offering a potentially promising solution to the global challenge of under-immunization.

Indexed as

Diphtheria ToxoidPolyanhydridesAnimalsFemaleMiceMice, Inbred BALB CDiphtheria ToxoidPolyanhydridesantigen stabilitymicroparticlesprotein encapsulationrelease kineticssingle‐administration vaccines

Identifiers

PMID40370205
PMCPMC12355444

What OpenQuestion holds

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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.