Evidence map›Paper›PMID 41687547›Full record

ArticleBiomedicine & pharmacotherapy = Biomedecine & pharmacotherapie2026

Exosome-mediated antiviral testing system and identification of Punicalagins and Anthocyanidins as promising antiviral agents against SARS-CoV-2.

Raghuram Kandimalla, Farrukh Aqil, Divyasha Saxena, Margaret Wallen, Mohd Saeed, Disha N Moholkar, Jeyaprakash Jeyabalan, Wendy Spencer, Charles D Anderson, Jon D Gabbard and 3 more

Abstract read
In one paragraph

Article in Biomedicine & pharmacotherapy = Biomedecine & pharmacotherapie, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

13 authors.

Raghuram KandimallaBrown Cancer Center, University of Louisville, Louisville, KY 40202, USA; Department of Pharmacology & Toxicology, University of Louisville, Louisville, KY 40202, USA.
Farrukh AqilBrown Cancer Center, University of Louisville, Louisville, KY 40202, USA; Department of Medicine, University of Louisville, Louisville, KY 40202, USA.
Divyasha SaxenaCenter for Predictive Medicine, University of Louisville, Louisville, KY 40202, USA.
Margaret Wallen3P biotechnologies, Louisville, KY 40202, USA.
Mohd SaeedDepartment of Biology, College of Sciences, University of Hail, Hail, Saudi Arabia.
Disha N MoholkarBrown Cancer Center, University of Louisville, Louisville, KY 40202, USA; Department of Pharmacology & Toxicology, University of Louisville, Louisville, KY 40202, USA.
Jeyaprakash Jeyabalan3P biotechnologies, Louisville, KY 40202, USA.
Wendy Spencer3P biotechnologies, Louisville, KY 40202, USA.
Charles D AndersonCenter for Predictive Medicine, University of Louisville, Louisville, KY 40202, USA.
Jon D GabbardCenter for Predictive Medicine, University of Louisville, Louisville, KY 40202, USA.
William E SeversonCenter for Predictive Medicine, University of Louisville, Louisville, KY 40202, USA.
Kenneth E PalmerCenter for Predictive Medicine, University of Louisville, Louisville, KY 40202, USA.
Ramesh GuptaBrown Cancer Center, University of Louisville, Louisville, KY 40202, USA; Department of Pharmacology & Toxicology, University of Louisville, Louisville, KY 40202, USA; 3P biotechnologies, Louisville, KY 40202, USA. Electronic address: rcgupta@louisville.edu.

Funding

Exosomal Drug DeliveryR44CA221487 · NCI · 3P BIOTECHNOLOGIES, INC. · PI GUPTA, RAMESH C, SPENCER, WENDY A · 2017 to 2018
$1.7M
Engineered Exosomes for Targeted Delivery of the CRISPR/Cas9 Genome-editorR41OD031942 · OD · 3P BIOTECHNOLOGIES, INC. · PI GUPTA, RAMESH C, SPENCER, WENDY A · 2022 to 2022
$265k
NCI NIH HHS R44 CA221487NIH HHS R41 OD031942
6 · The paper itself

Abstract

Emerging viral infections like SARS-CoV-2 (SCV-2) highlight the need for effective antiviral therapies. We aimed to establish a biosafety level 2 (BSL-2) compatible screening platform using an exosome-polyethylenimine based gene delivery matrix (EPM) to evaluate plant-derived polyphenols for their antiviral potential against SCV-2. EPM platform, facilitates the transfection of plasmid DNA encoding SCV-2 spike, nucleocapsid, and RNA-dependent RNA polymerase (RdRp) proteins into the HEK293T cells, enabling the screening of plant polyphenols for their antiviral activity. Punicalagins (PC), anthocyanidins (Anthos), delphinidin, and cyanidin, completely inhibited viral gene expression. These compounds protected Vero E6 cells from SCV-2 induced cytopathic effects with EC₅₀ values of 18.42 μM, 72.9 μM, and 72.54 μM, respectively. Docking studies revealed strong binding affinities of PC to SCV-2 spike, nucleocapsid, angiotensin-converting enzyme 2 (ACE2) and RdRp proteins (-7.1, -8.0, -10.3 and -10.3 kcal/mol, respectively). In vivo, PC provided dose-dependent protection in K18-hACE2 mice infected with SCV-2. Viral titers in nasal turbinates and lungs reduced by 30-40 % at 6 mg/kg and by 80 % at 12 mg/kg after 5 and 10 days of treatment. These findings support the utility of EPM as a screening platform and establish PC and Anthos as promising antiviral candidates against SCV-2 and other viruses utilizing similar entry mechanism.

Indexed as

AnthocyaninsAntiviral AgentsExosomesHydrolyzable TanninsAngiotensin-Converting Enzyme 2AnimalsChlorocebus aethiopsCOVID-19COVID-19 Drug TreatmentHEK293 CellsHumansMolecular Docking SimulationSARS-CoV-2Spike Glycoprotein, CoronavirusVero CellsAngiotensin-Converting Enzyme 2AnthocyaninsAntiviral AgentsHydrolyzable TanninsSpike Glycoprotein, CoronavirusAnthocyanidinsAntiviral drug testingExosomesPunicalaginsSARS-CoV-2

Identifiers

PMID41687547
PMCPMC13072440

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.