Evidence map›Paper›PMID 42146498›Full record

ArticlebioRxiv : the preprint server for biology2026

Graphene Quantum Dots Mitigate Oxidative Stress in Bacteria.

Juhee Kim, Stephanie N Bartholomew, Wade F Zeno

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2026. 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.

Juhee KimMork Family Department of Chemical Engineering and Materials Science, University of Southern California, Los Angeles, CA 90089, United States.
Stephanie N BartholomewMork Family Department of Chemical Engineering and Materials Science, University of Southern California, Los Angeles, CA 90089, United States.
Wade F ZenoMork Family Department of Chemical Engineering and Materials Science, University of Southern California, Los Angeles, CA 90089, United States.ORCID 0000-0002-2341-8923

Funding

Dynamic Interactions between Intrinsically Disordered Proteins and Curved Membrane SurfacesR35GM147333 · NIGMS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI Wade F Zeno · 2022 to 2026
$2.0M
NIGMS NIH HHS R35 GM147333
6 · The paper itself

Abstract

Manufacturing and storage processes can expose microbes to oxidative stress, reducing viability and limiting their use in biotechnological applications. Here, we evaluate graphene quantum dots (GQDs) containing hydroxyl and carboxyl groups as protective additives that mitigate peroxide-induced oxidative stress in Escherichia coli. GQDs did not adversely affect bacterial growth under basal conditions and restored growth in the presence of hydrogen peroxide. Using the membrane-partitioning fluorescent probe C11-BODIPY, we found that GQDs reduced peroxide-induced oxidation in bacterial membranes. We further used redox-sensitive roGFP2 probes to monitor intracellular oxidative stress and found that GQDs suppressed intracellular hydrogen peroxide accumulation and attenuated disruption of glutathione redox homeostasis. Together, these results show that GQDs protect bacteria by limiting peroxide-driven oxidative damage at both membrane and intracellular levels. This work supports the potential use of GQDs as protective additives for microbial formulations that are susceptible to oxidative stress.

Indexed as

bacterial growthglutathione redox homeostasisgraphene quantum dotslipid oxidationmicrobial protectionoxidative stressreactive oxygen species

Identifiers

PMID42146498
PMCPMC13174466

What OpenQuestion 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 OpenQuestion graph.