Evidence map›Paper›PMID 40771083›Full record

ArticleThe journal of physical chemistry. B2025

Elucidating the Drug Delivery Mechanism in Porous Antibody Implants Using Molecular Simulations and Graph Theory.

Zachary T Mentzer, Yoonjee C Park, Mehdi B Zanjani

Abstract read
In one paragraph

Article in The journal of physical chemistry. B, 2025. 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.

Zachary T MentzerDepartment of Mechanical and Manufacturing Engineering, Miami University, Oxford 45056, Ohio, United States.
Yoonjee C ParkDepartment of Chemical and Environmental Engineering, University of Cincinnati, Cincinnati 45221, Ohio, United States.ORCID 0000-0003-1454-0326
Mehdi B ZanjaniDepartment of Mechanical and Manufacturing Engineering, Miami University, Oxford 45056, Ohio, United States.ORCID 0000-0003-3994-3420

Funding

Co-Delivery Dose-Controllable Implants for Advanced Chronic Eye Disease TreatmentR03TR004429 · NCATS · UNIVERSITY OF CINCINNATI · PI PARK, YOONJEE · 2023 to 2024
$160k
NCATS NIH HHS R03 TR004429
6 · The paper itself

Abstract

Drug delivery systems (DDSs) are utilized in the treatment of diseases by controlling the release rate of antibodies in a targeted location. One such form of DDSs is biodegradable polymer-based implants to circumvent traditional treatment processes such as antibody injections. In diseases such as macular degeneration, intravitreal injections are administered weekly/biweekly. These injections are painful for patients and prove to be inconvenient for obtaining transportation to and from appointments, as macular degeneration may cause partial blindness. In order to address this challenge, previous efforts have been made to create a biodegradable ocular DDS to administer antibody dosages over longer periods of time. In this work, a computational framework was developed to investigate the fundamental behavior and translocation of antibody agents through a porous membrane by employing molecular dynamics simulations and graph theory. Through this analysis, the results demonstrate that the release behavior of antibodies is highly correlated to the composition and geometric features of the pore network within the membrane. The computational models developed in this work provide insight into the design of long-term DDSs and can pave the way for future experiments that aim to improve the efficiency of polymer-based drug delivery systems.

Indexed as

AntibodiesDrug Delivery SystemsDrug ImplantsMolecular Dynamics SimulationDrug LiberationPorosityAntibodiesDrug Implants

Identifiers

PMID40771083
PMCPMC12740269

What OpenQuestion holds

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Registered trials

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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.