Evidence map›Paper›PMID 40530044›Full record

ReviewMaterials today. Bio2025

Micro/nanorobots in antimicrobial therapy: Addressing challenges of antibiotic resistance.

Xutong Chen, Yong Li, Chunhua Wang, Zhiqiang Chen, Zhijie Xu, Fada Xia, Yuanliang Yan, Ming Gao

Abstract readReview
In one paragraph

Review in Materials today. Bio, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
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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

8 authors.

Xutong ChenState Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, China.
Yong LiDepartment of general Surgery, Turpan City People's Hospital, Tulufan, Xinjiang, China.
Chunhua WangDepartment of Oral Bioscience, Tokushima University Graduate School of Biomedical Sciences, Tokushima, Japan.
Zhiqiang ChenDepartment of general Surgery, Turpan City People's Hospital, Tulufan, Xinjiang, China.
Zhijie XuDepartment of Pathology, Xiangya Hospital, Central South University, Changsha, Hunan, China.
Fada XiaDepartment of Thyroid Surgery, National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan, China.
Yuanliang YanDepartment of Pharmacy, Xiangya Hospital, Central South University, Changsha, Hunan, China.
Ming GaoState Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Antibiotic resistance has emerged as a critical global health challenge, particularly when bacteria form biofilms that render conventional antimicrobial treatments markedly less effective. Bacteria residing within biofilm exhibit increased resistance to antimicrobial agents and host immune defenses, complicating treatment and contributing to recurrent infections. Antimicrobial micro- and nanorobots (MNRs) have garnered significant attention as a promising strategy to combat drug-resistant bacteria and biofilms, owing to their exceptional motility, precise targeting, and improved penetration capabilities. Despite their potential, challenges related to biocompatibility, imaging integration, and clinical translation remain unresolved. This review summarizes the latest developments in the therapy of micro/nanorobots for antimicrobial therapy, emphasizing innovative strategies for bacterial eradication and biofilm disruption while addressing the technical hurdles and exploring future research directions.

Indexed as

Antibacterial therapyBacterial infectionBiofilmsMicro/nano robots

Identifiers

PMID40530044
PMCPMC12171819

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.