Evidence map›Paper›PMID 42230974›Full record

ArticleNature materials2026

Magnetoelectric microrobots for spinal cord injury regeneration.

Hao Ye, Jingjing Zang, Jiawei Zhu, Denis von Arx, Jian Zhao, Vitaly Pustovalov, Minmin Mao, Qiao Tang, Andrea Veciana, Harun Torlakcik and 12 more

Abstract read
PubMed Publisher
In one paragraph

Article in Nature materials, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Magnetoelectric BaTiOAdvanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  2. Review
  3. Review
  4. 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

22 authors.

Hao YeMulti-Scale Robotics Lab (MSRL), Institute of Robotics & Intelligent Systems (IRIS), ETH Zurich, Zurich, Switzerland.ORCID 0000-0003-3526-9627
Jingjing ZangDepartment of Molecular Life Sciences, University of Zurich, Zurich, Switzerland. jingjing.zang@mls.uzh.ch.ORCID 0000-0002-2186-6001
Jiawei ZhuMulti-Scale Robotics Lab (MSRL), Institute of Robotics & Intelligent Systems (IRIS), ETH Zurich, Zurich, Switzerland.ORCID 0009-0006-6999-1385
Denis von ArxMulti-Scale Robotics Lab (MSRL), Institute of Robotics & Intelligent Systems (IRIS), ETH Zurich, Zurich, Switzerland.
Jian ZhaoDepartment of Pharmaceutics, Wuya College of Innovation, Shenyang Pharmaceutical University, Shenyang, China.
Vitaly PustovalovMulti-Scale Robotics Lab (MSRL), Institute of Robotics & Intelligent Systems (IRIS), ETH Zurich, Zurich, Switzerland.ORCID 0009-0000-2582-7678
Minmin MaoCollege of Electronic Information and Engineering, Hangzhou Dianzi University, Hangzhou, China.
Qiao TangMulti-Scale Robotics Lab (MSRL), Institute of Robotics & Intelligent Systems (IRIS), ETH Zurich, Zurich, Switzerland.
Andrea VecianaMulti-Scale Robotics Lab (MSRL), Institute of Robotics & Intelligent Systems (IRIS), ETH Zurich, Zurich, Switzerland.
Harun TorlakcikMulti-Scale Robotics Lab (MSRL), Institute of Robotics & Intelligent Systems (IRIS), ETH Zurich, Zurich, Switzerland.
Elric ZhangMulti-Scale Robotics Lab (MSRL), Institute of Robotics & Intelligent Systems (IRIS), ETH Zurich, Zurich, Switzerland.
Semih SevimMulti-Scale Robotics Lab (MSRL), Institute of Robotics & Intelligent Systems (IRIS), ETH Zurich, Zurich, Switzerland. semih.sevim@chem.ethz.ch.ORCID 0000-0003-1461-1606
Roger Sanchis-GualMulti-Scale Robotics Lab (MSRL), Institute of Robotics & Intelligent Systems (IRIS), ETH Zurich, Zurich, Switzerland.ORCID 0000-0002-9096-7930
Quan GaoMulti-Scale Robotics Lab (MSRL), Institute of Robotics & Intelligent Systems (IRIS), ETH Zurich, Zurich, Switzerland.ORCID 0000-0003-1383-842X
Xiang-Zhong ChenInternational Institute for Intelligent Nanorobots and Nanosystems, College of Intelligent Robotics and Advanced Manufacturing, State Key Laboratory of Photovoltaic Science and Technology, Shanghai Frontiers Science Research Base of Intelligent Optoelectronics and Perception, Institute of Optoelectronics, Fudan University, Shanghai, China. xzchen@fudan.edu.cn.ORCID 0000-0002-2294-7487
Daniel AhmedAcoustics Robotics Systems Lab (ARSL), ETH-Zürich, Rüschlikon, Switzerland.ORCID 0000-0002-0224-5293
Maria V Sanchez-VivesInstitut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain.ORCID 0000-0002-8437-9083
Josep Puigmartí-LuisInstitució Catalana de Recerca i Estudis Avançats (ICREA), Barcelona, Spain.ORCID 0000-0002-7510-9815
Cong LuoDepartment of Pharmaceutics, Wuya College of Innovation, Shenyang Pharmaceutical University, Shenyang, China. luocong@syphu.edu.cn.ORCID 0000-0002-0506-9598
Bradley J NelsonMulti-Scale Robotics Lab (MSRL), Institute of Robotics & Intelligent Systems (IRIS), ETH Zurich, Zurich, Switzerland. bnelson@ethz.ch.ORCID 0000-0001-9070-6987
Stephan C F NeuhaussDepartment of Molecular Life Sciences, University of Zurich, Zurich, Switzerland. stephan.neuhauss@mls.uzh.ch.ORCID 0000-0002-9615-480X
Salvador PanéMulti-Scale Robotics Lab (MSRL), Institute of Robotics & Intelligent Systems (IRIS), ETH Zurich, Zurich, Switzerland. vidalp@ethz.ch.ORCID 0000-0003-0147-8287

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Spinal cord injury remains difficult to treat because of the intrinsically limited regenerative capacity of neurons. Although neural progenitor cell (NPC) therapies are promising, inadequate graft survival, uncontrolled differentiation and weak functional integration continue to restrict outcomes. Here we report biohybrid microrobots called NPCbots, fabricated by integrating human-induced pluripotent-stem-cell-derived NPCs with magnetoelectric nanoparticles, enabling wireless magnetic navigation and non-invasive neuronal stimulation. A lab-on-a-chip platform allows scalable fabrication and maintains cell viability and differentiation capacity. In a zebrafish spinal cord injury model, alternating magnetic field stimulation of NPCbots induced rapid in vivo neuronal and astrocytic differentiation, enhanced graft integration at the lesion site, and near-complete recovery of swimming and exploratory behaviours within 3 days. In a non-regenerating murine model of complete spinal cord transection, NPCbots were well tolerated for at least 28 days, localized effectively to the injury site, promoted neural differentiation and resulted in substantial improvements in motor function within 4 weeks. These results demonstrate that magnetically guided NPCbots combined with non-invasive magnetoelectric stimulation promote neural repair and functional recovery in preclinical spinal cord injury models.

Indexed as

Neural Stem CellsRoboticsSpinal Cord InjuriesAnimalsCell DifferentiationFemaleHumansMagnetic FieldsMiceNerve RegenerationZebrafish

Identifiers

What OpenQuestion holds

Textmetadata
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.