Evidence map›Paper›PMID 40496000›Full record

ArticleMolecular therapy. Methods & clinical development2025

Lipid nanoparticles from

Junsik J Sung, Jacob R Shaw, Josie D Rezende, Shruti Dharmaraj, Andrea L Cottingham, Mehari M Weldemariam, Jace W Jones, Maureen A Kane, Ryan M Pearson

Abstract read
In one paragraph

Article in Molecular therapy. Methods & clinical development, 2025. 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. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Junsik J SungDepartment of Pharmaceutical Sciences, University of Maryland School of Pharmacy, 20 N. Pine Street, Baltimore, MD 21201, USA.
Jacob R ShawDepartment of Microbiology and Immunology, University of Maryland School of Medicine, 685 W. Baltimore Street, Baltimore, MD 21201, USA.
Josie D RezendeDepartment of Pharmaceutical Sciences, University of Maryland School of Pharmacy, 20 N. Pine Street, Baltimore, MD 21201, USA.
Shruti DharmarajDepartment of Pharmaceutical Sciences, University of Maryland School of Pharmacy, 20 N. Pine Street, Baltimore, MD 21201, USA.
Andrea L CottinghamDepartment of Pharmaceutical Sciences, University of Maryland School of Pharmacy, 20 N. Pine Street, Baltimore, MD 21201, USA.
Mehari M WeldemariamDepartment of Pharmaceutical Sciences, University of Maryland School of Pharmacy, 20 N. Pine Street, Baltimore, MD 21201, USA.
Jace W JonesDepartment of Pharmaceutical Sciences, University of Maryland School of Pharmacy, 20 N. Pine Street, Baltimore, MD 21201, USA.
Maureen A KaneDepartment of Pharmaceutical Sciences, University of Maryland School of Pharmacy, 20 N. Pine Street, Baltimore, MD 21201, USA.
Ryan M PearsonDepartment of Pharmaceutical Sciences, University of Maryland School of Pharmacy, 20 N. Pine Street, Baltimore, MD 21201, USA.

Funding

UNIVERSITY OF MARYLAND GREENEBAUM CANCER CENTERSUPPORT GRANTP30CA134274 · NCI · UNIVERSITY OF MARYLAND BALTIMORE · PI FEYRUZ VIRGILIA RASSOOL · 2008 to 2026
$51.0M
Polymeric nanoassemblies for precise tuning of immune responses (Supplement for Equipment Purchase)R35GM142752 · NIGMS · UNIVERSITY OF MARYLAND BALTIMORE · PI PEARSON, RYAN MATTHEW · 2021 to 2025
$2.1M
NCI NIH HHS P30 CA134274NIGMS NIH HHS R35 GM142752
6 · The paper itself

Abstract

Plant-derived lipid nanoparticles (PDNPs) are nano-sized particles isolated from various edible plants that contain bioactive components involved in regulating biological responses. Here, we isolated maca-derived lipid nanoparticles (MDNPs) from

Indexed as

acute phase responsecytokinesinflammationlipid nanoparticlesprotein coronasepsis

Identifiers

PMID40496000
PMCPMC12151679

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.