Evidence map›Paper›PMID 38865468›Full record

ArticleScience advances2024

Biohybrid microrobots locally and actively deliver drug-loaded nanoparticles to inhibit the progression of lung metastasis.

Fangyu Zhang, Zhongyuan Guo, Zhengxing Li, Hao Luan, Yiyan Yu, Audrey T Zhu, Shichao Ding, Weiwei Gao, Ronnie H Fang, Liangfang Zhang and 1 more

Abstract read
In one paragraph

Article in Science advances, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers.

0numbers the graph read from it
0cells of the map it votes in
45citing 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

45 citing papers in PubMed.

  1. Habitat-Specific Design Strategies for Untethered Soft Robots.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Review
  2. Review
  3. Review
  4. Review
  5. Review
  6. Article
  7. Article
  8. Phototaxis and Motility ofMicromachines · 2026
    Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Embodied Cross-Domain Intelligence in Biomedical Microrobots: A Review.Cyborg and bionic systems (Washington, D.C.) · 2026
    Review
  18. Review
  19. Light Metabolically Reprograms CD8Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  20. Review
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

11 authors.

Fangyu ZhangDepartment of NanoEngineering and Chemical Engineering Program, University of California San Diego, La Jolla, CA 92093, USA.ORCID 0000-0002-6522-5230
Zhongyuan GuoDepartment of NanoEngineering and Chemical Engineering Program, University of California San Diego, La Jolla, CA 92093, USA.
Zhengxing LiDepartment of NanoEngineering and Chemical Engineering Program, University of California San Diego, La Jolla, CA 92093, USA.ORCID 0000-0002-0250-0936
Hao LuanDepartment of NanoEngineering and Chemical Engineering Program, University of California San Diego, La Jolla, CA 92093, USA.ORCID 0000-0003-1251-7480
Yiyan YuDepartment of NanoEngineering and Chemical Engineering Program, University of California San Diego, La Jolla, CA 92093, USA.ORCID 0000-0002-7136-654X
Audrey T ZhuDepartment of NanoEngineering and Chemical Engineering Program, University of California San Diego, La Jolla, CA 92093, USA.
Shichao DingDepartment of NanoEngineering and Chemical Engineering Program, University of California San Diego, La Jolla, CA 92093, USA.ORCID 0000-0003-3795-306X
Weiwei GaoDepartment of NanoEngineering and Chemical Engineering Program, University of California San Diego, La Jolla, CA 92093, USA.ORCID 0000-0001-5196-4887
Ronnie H FangDepartment of NanoEngineering and Chemical Engineering Program, University of California San Diego, La Jolla, CA 92093, USA.ORCID 0000-0001-6373-3189
Liangfang ZhangDepartment of NanoEngineering and Chemical Engineering Program, University of California San Diego, La Jolla, CA 92093, USA.ORCID 0000-0003-0637-0654
Joseph WangDepartment of NanoEngineering and Chemical Engineering Program, University of California San Diego, La Jolla, CA 92093, USA.ORCID 0000-0002-4921-9674

Funding

Inflammation-targeted delivery of corticosteroids using genetically engineered cellular nanoparticlesR21AI175904 · NIAID · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI FANG, RONNIE H · 2023 to 2024
$435k
NIAID NIH HHS R21 AI175904
6 · The paper itself

Abstract

Lung metastasis poses a formidable challenge in the realm of cancer treatment, with conventional chemotherapy often falling short due to limited targeting and low accumulation in the lungs. Here, we show a microrobot approach using motile algae for localized delivery of drug-loaded nanoparticles to address lung metastasis challenges. The biohybrid microrobot [denoted "algae-NP(DOX)-robot"] combines green microalgae with red blood cell membrane-coated nanoparticles containing doxorubicin, a representative chemotherapeutic drug. Microalgae provide autonomous propulsion in the lungs, leveraging controlled drug release and enhanced drug dispersion to exert antimetastatic effects. Upon intratracheal administration, algae-NP(DOX)-robots efficiently transport their drug payload deep into the lungs while maintaining continuous motility. This strategy leads to rapid drug distribution, improved tissue accumulation, and prolonged retention compared to passive drug-loaded nanoparticles and free drug controls. In a melanoma lung metastasis model, algae-NP(DOX)-robots exhibit substantial improvement in therapeutic efficacy, reducing metastatic burden and extending survival compared to control groups.

Indexed as

DoxorubicinLung NeoplasmsNanoparticlesAnimalsAntineoplastic AgentsCell Line, TumorDisease ProgressionDrug Delivery SystemsHumansMiceMicroalgaeRoboticsAntineoplastic AgentsDoxorubicin

Identifiers

PMID38865468
PMCPMC11168470

What OpenQuestion holds

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LicenceCC BY-NC
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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.