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Record W7061810726

Recent Advances in Membrane-Coated Micro/Nanomotors in Biological Applications

2025· article· en· W7061810726 on OpenAlexaff

Bibliographic record

VenueDOAJ (DOAJ: Directory of Open Access Journals) · 2025
Typearticle
Languageen
FieldPhysics and Astronomy
TopicMagnetic confinement fusion research
Canadian institutionsToronto Liver Centre
Fundersnot available
KeywordsDiseaseMedical treatmentCancer treatmentChronic diseaseCancer
DOInot available

Abstract

fetched live from OpenAlex

Kaiting Zhao,1,* Jia Xu,2,* Wei Song,3 Jie Cheng,3 Abdullah Al Mamun,3 Yingfeng Tu,4 Jian Xiao,5 Shuanghu Wang,3 Ning Zhang1 1Department of Emergency, The Lishui Hospital of Wenzhou Medical University, The First Affiliated Hospital of Lishui University, Lishui People’s Hospital, Lishui, Zhejiang, 323000, People’s Republic of China; 2Department of Pharmacy, The Second Affiliated Hospital of Jiaxing University, Jiaxing, Zhejiang, 314000 People’s Republic of China; 3Key Laboratory of Joint Diagnosis and Treatment of Chronic Liver Disease and Liver Cancer of Lishui, The Lishui Hospital of Wenzhou Medical University, The First Affiliated Hospital of Lishui University, Lishui People’s Hospital, Lishui, Zhejiang, 323000, People’s Republic of China; 4School of Pharmaceutical Sciences, Guangdong Provincial Key Laboratory of New Drug Screening, Southern Medical University, Guangzhou, 510515, People’s Republic of China; 5Molecular Pharmacology Research Center, School of Pharmaceutical Sciences, Wenzhou Medical University, Wenzhou, Zhejiang, 325035, People’s Republic of China*These authors contributed equally to this workCorrespondence: Shuanghu Wang, Key Laboratory of Joint Diagnosis and Treatment of Chronic Liver Disease and Liver Cancer of Lishui, The Lishui Hospital of Wenzhou Medical University, The First Affiliated Hospital of Lishui University, Lishui People’s Hospital, Lishui, Zhejiang, 323000, People’s Republic of China, Tel +86-18957091837, Email wangshuanghu@lsu.edu.cn Ning Zhang, Department of Emergency Medicine, The Lishui Hospital of Wenzhou Medical University, The First Affiliated Hospital of Lishui University, Lishui People’s Hospital, Lishui, Zhejiang, 323000, People’s Republic of China, Tel +86-18957090930, Email starstar314@163.comAbstract: The integration of synthetic micro/nanomotors (MNMs) with natural biomaterials derived from cell membranes has emerged as a highly promising strategy for advancing biological applications. The membrane-coated MNM offers distinct advantages over earlier MNMs dependent on chemical fuels such as hydrogen peroxide, which were prone to poor biocompatibility and harmful byproducts. These include enhanced biocompatibility, immune evasion via natural membrane surfaces, multifunctionality for drug delivery, self-propulsion in complex environments, self-degradation to reduce residual toxicity and inherent imaging capabilities enabling real-time tracking. This review provides a comprehensive overview of the integration of various types of micromotors with natural cell membranes commonly present in the circulatory system. Additionally, it summarizes the methodologies for the preparation, characterization and functional evaluation of biofilm-modified micromotors. The present article also critically examines current developments in biofilm-modified micromotors, addressing their challenges and limitations in enhancing clinical efficacy and facilitating transition to clinical trials in humans. Keywords: micro/nanomotors, nanodrugs, membrane-coated, self-propulsion, drug delivery

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.001
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.140
GPT teacher head0.534
Teacher spread0.394 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreReview

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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