Evidence map›Paper›PMID 41809201›Full record

ArticleFrontiers in microbiology2025

Development of lysine-branched dendrimeric antimicrobial peptides targeting ESKAPE pathogens: broad-spectrum activity, biofilm eradication, and endotoxin neutralization.

S Dinesh Kumar, Eun Young Kim, Naveen Kumar Radhakrishnan, Byambasuren Ganbaatar, Chul Won Lee, Sungtae Yang, Song Yub Shin

Abstract read
In one paragraph

Article in Frontiers in microbiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

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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

7 authors.

S Dinesh Kumar *Department of Cellular & Molecular Medicine, School of Medicine, Chosun University, Gwangju, Republic of Korea.
Eun Young Kim *Department of Cellular & Molecular Medicine, School of Medicine, Chosun University, Gwangju, Republic of Korea.
Naveen Kumar RadhakrishnanDepartment of Biomedical Sciences, School of Medicine, Chosun University, Gwangju, Republic of Korea.
Byambasuren GanbaatarDepartment of Chemistry, Chonnam National University, Gwangju, Republic of Korea.
Chul Won LeeDepartment of Chemistry, Chonnam National University, Gwangju, Republic of Korea.
Sungtae YangDepartment of Microbiology, School of Medicine and Institute of Well-Aging Medicare & CSU GLAMP Project Group, Chosun University, Gwangju, Republic of Korea.
Song Yub ShinDepartment of Cellular & Molecular Medicine, School of Medicine, Chosun University, Gwangju, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Antimicrobial resistance (AMR) represents a pressing global health challenge, driving the urgent need for novel therapeutic agents with improved stability and selectivity. In this study, we present the rational design and synthesis of lysine-branched dendrimeric antimicrobial peptides (AMPs) based on short arginine/tryptophan-rich motifs (Du-6 and Lf-6), yielding dimeric and tetrameric architectures. Physicochemical analyses revealed a systematic increase in net charge and hydrophobicity with higher degrees of branching. Comparative biological evaluations demonstrated that dimeric peptides (di-Du-6 and di-Lf-6) achieved optimal broad-spectrum antibacterial activity against both Gram-positive and Gram-negative bacteria, including multidrug-resistant ESKAPE pathogens. These dimers maintained low hemolytic activity and exhibited therapeutic indices of up to 40. In contrast, despite their elevated charge density and tryptophan content, tetrameric peptides showed increased cytotoxicity, likely due to deeper membrane penetration into eukaryotic cells, thereby compromising selectivity. To overcome proteolytic degradation, D-enantiomeric dimers [(di-Du-6)

Indexed as

anti-inflammatory activityantimicrobial peptidescell selectivitydendrimerESKAPE pathogensLPS neutralizationproteolytic stability

Identifiers

PMID41809201
PMCPMC12967992

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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.