Evidence map›Paper›PMID 41877228›Full record

ArticleJournal of nanobiotechnology2026

Peptide nanofibers and PAMP agonist combinations enhance pulmonary CD4

Megan A Files, Anirban Das, Darren Kim, Jeremy Buck, Janice J Endsley, Jai S Rudra

Erratum issuedAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of nanobiotechnology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. 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

5 · Who and what money

Authors and funding

6 authors.

Megan A FilesDepartment of Microbiology and Immunology, University of Texas Medical Branch, Galveston, TX, 77555, USA.
Anirban DasDepartment of Biomedical Engineering, McKelvey School of Engineering, Washington University in St. Louis, St. Louis, MO, 63130, USA.
Darren KimDepartment of Biomedical Engineering, McKelvey School of Engineering, Washington University in St. Louis, St. Louis, MO, 63130, USA.
Jeremy BuckDepartment of Biomedical Engineering, McKelvey School of Engineering, Washington University in St. Louis, St. Louis, MO, 63130, USA.
Janice J EndsleyDepartment of Microbiology and Immunology, University of Texas Medical Branch, Galveston, TX, 77555, USA. jjendsle@utmb.edu.
Jai S RudraDepartment of Biomedical Engineering, McKelvey School of Engineering, Washington University in St. Louis, St. Louis, MO, 63130, USA. srudra22@wustl.edu.

Funding

Self-assembling Peptide Nanomaterials for Eliciting Mucosal CD8+ T cell ImmunityR21AI115302 · NIAID · UNIVERSITY OF TEXAS MED BR GALVESTON · PI ENDSLEY, JANICE J, RUDRA, JAI · 2016 to 2017
$416k
NIAID NIH HHS R21 AI115302
6 · The paper itself

Abstract

Vaccine adjuvants typically contain pathogen-associated molecular patterns (PAMPs) or danger-associated molecular patterns (DAMPs) that activate innate immune cells. The FDA's approval of multiple PAMP-DAMP combinations for clinical use has generated increased momentum in this field in recent years. Here, we report the use of DAMP-inducing peptide nanofibers (PNFs) and CL429 (PAMP) combinations as subunit boosters for Bacille Calmette-Guérin (BCG). We demonstrate that pulmonary boosting with PNFs and CL429 enhances the lung-resident memory phenotype, effector cytokine profiles, and transcription factor bias of antigen-specific CD4

Indexed as

CD4-Positive T-LymphocytesLungNanofibersPeptidesAdjuvants, ImmunologicAnimalsBCG VaccineCytokinesFemaleImmunologic MemoryMiceMice, Inbred C57BLVaccinationAdjuvants, ImmunologicBCG VaccineCytokinesPeptidesBCGPeptide nanofibersPolyfunctionalPulmonary CD4+T cellsSelf-assemblyTLR agonistsVaccine

Identifiers

PMID41877228
PMCPMC13137529

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.