Evidence map›Paper›PMID 37646185›Full record

ArticleNanoscale2023

Magnetic PiezoBOTs: a microrobotic approach for targeted amyloid protein dissociation.

Shen Ning, Roger Sanchis-Gual, Carlos Franco, Pedro D Wendel-Garcia, Hao Ye, Andrea Veciana, Qiao Tang, Semih Sevim, Lukas Hertle, Joaquin Llacer-Wintle and 7 more

Open access · hybridAbstract read
In one paragraph

Article in Nanoscale, 2023. 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
2.4field-weighted citation impact, top 11% of its field
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, 13 citations in OpenAlex.

  1. Review
  2. Topology in Biological Piezoelectric Materials.Advanced materials (Deerfield Beach, Fla.) · 2025
    Review
  3. Review
  4. Smart Materials Design for Antibacterial Application.Pharmaceutical nanotechnology · 2025
    Review
  5. Article
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

17 authors at 6 institutions in 4 countries.

Shen NingBoston University School of Medicine, Boston, MA, USA.
Roger Sanchis-GualMulti-Scale Robotics Lab, Institute of Robotics and Intelligent Systems, ETH Zürich, Tannestrasse 3, CH-8092 Zürich, Switzerland. carlos.franco@chem.ethz.ch.
Carlos FrancoMulti-Scale Robotics Lab, Institute of Robotics and Intelligent Systems, ETH Zürich, Tannestrasse 3, CH-8092 Zürich, Switzerland. carlos.franco@chem.ethz.ch.
Pedro D Wendel-GarciaInstitute of Intensive Care Medicine, University Hospital Zurich, Zurich, Switzerland.
Hao YeMulti-Scale Robotics Lab, Institute of Robotics and Intelligent Systems, ETH Zürich, Tannestrasse 3, CH-8092 Zürich, Switzerland. carlos.franco@chem.ethz.ch.
Andrea VecianaMulti-Scale Robotics Lab, Institute of Robotics and Intelligent Systems, ETH Zürich, Tannestrasse 3, CH-8092 Zürich, Switzerland. carlos.franco@chem.ethz.ch.
Qiao TangMulti-Scale Robotics Lab, Institute of Robotics and Intelligent Systems, ETH Zürich, Tannestrasse 3, CH-8092 Zürich, Switzerland. carlos.franco@chem.ethz.ch.
Semih SevimMulti-Scale Robotics Lab, Institute of Robotics and Intelligent Systems, ETH Zürich, Tannestrasse 3, CH-8092 Zürich, Switzerland. carlos.franco@chem.ethz.ch.ORCID http://orcid.org/0000-0003-1461-1606
Lukas HertleMulti-Scale Robotics Lab, Institute of Robotics and Intelligent Systems, ETH Zürich, Tannestrasse 3, CH-8092 Zürich, Switzerland. carlos.franco@chem.ethz.ch.
Joaquin Llacer-WintleMulti-Scale Robotics Lab, Institute of Robotics and Intelligent Systems, ETH Zürich, Tannestrasse 3, CH-8092 Zürich, Switzerland. carlos.franco@chem.ethz.ch.
Xiao-Hua QinInstitute for Biomechanics, ETH Zürich, Leopold-Ruzicka-Weg 4, CH-8093 Zürich, Switzerland.
Caihong ZhuSchool of Basic Medical Sciences, State Key Laboratory of Medical Neurobiology, Fudan University, Shanghai, China.
Jun CaiSchool of Mechanical Engineering and Automation, Beihang University, No. 37 Xueyuan Road, Haidian District, Beijing, 100191, China.ORCID http://orcid.org/0000-0001-5167-5524
Xiangzhong ChenMulti-Scale Robotics Lab, Institute of Robotics and Intelligent Systems, ETH Zürich, Tannestrasse 3, CH-8092 Zürich, Switzerland. carlos.franco@chem.ethz.ch.ORCID http://orcid.org/0000-0002-2294-7487
Bradley J NelsonMulti-Scale Robotics Lab, Institute of Robotics and Intelligent Systems, ETH Zürich, Tannestrasse 3, CH-8092 Zürich, Switzerland. carlos.franco@chem.ethz.ch.
Josep Puigmartí-LuisDepartament de Ciència dels Materials i Química Física, Institut de Química Teòrica i Computacional, University of Barcelona (UB), 08028 Barcelona, Spain. josep.puigmarti@ub.edu.
Salvador PanéMulti-Scale Robotics Lab, Institute of Robotics and Intelligent Systems, ETH Zürich, Tannestrasse 3, CH-8092 Zürich, Switzerland. carlos.franco@chem.ethz.ch.ORCID http://orcid.org/0000-0003-0147-8287
ETH Zurich · CHBeihang University · CNBoston University · USInstitució Catalana de Recerca i Estudis Avançats · ESShanghai Medical College of Fudan University · CNUniversity Hospital of Zurich · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Piezoelectric nanomaterials have become increasingly popular in the field of biomedical applications due to their high biocompatibility and ultrasound-mediated piezocatalytic properties. In addition, the ability of these nanomaterials to disaggregate amyloid proteins, which are responsible for a range of diseases resulting from the accumulation of these proteins in body tissues and organs, has recently gained considerable attention. However, the use of nanoparticles in biomedicine poses significant challenges, including targeting and uncontrolled aggregation. To address these limitations, our study proposes to load these functional nanomaterials on a multifunctional mobile microrobot (PiezoBOT). This microrobot is designed by coating magnetic and piezoelectric barium titanate nanoparticles on helical biotemplates, allowing for the combination of magnetic navigation and ultrasound-mediated piezoelectric effects to target amyloid disaggregation. Our findings demonstrate that acoustically actuated PiezoBOTs can effectively reduce the size of aggregated amyloid proteins by over 80% in less than 10 minutes by shortening and dissociating constituent amyloid fibrils. Moreover, the PiezoBOTs can be easily magnetically manipulated to actuate the piezocatalytic nanoparticles to specific amyloidosis-affected tissues or organs, minimizing side effects. These biocompatible PiezoBOTs offer a promising non-invasive therapeutic approach for amyloidosis diseases by targeting and breaking down protein aggregates at specific organ or tissue sites.

Indexed as

AmyloidosisDrug-Related Side Effects and Adverse ReactionsNanoparticlesAmyloidogenic ProteinsHumansMagnetic PhenomenaAmyloidogenic Proteins

Identifiers

PMID37646185
PMCPMC10517098
OpenAlexW4385991887

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.