Evidence map›Paper›PMID 41869754›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2026

An Implanted Tooth That Can Feel.

Yaru Cao, Zhenhua Wu, Jiwei Sun, Ke Song, Jiayi Li, Yujin Li, Wenqi Chen, Hanyu Li, Shue Li, Cheng Yang and 4 more

Abstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

14 authors.

Yaru CaoDepartment of Neurobiology, School of Basic Medicine, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, P. R. China.
Zhenhua WuState Key Laboratory of Materials Processing and Die & Mould Technology, School of Materials Science and Engineering, Huazhong University of Science and Technology, Wuhan, P. R. China.
Jiwei SunDepartment of Stomatology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, P. R. China.
Ke SongSchool of Stomatology, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, P. R. China.
Jiayi LiDepartment of Stomatology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, P. R. China.
Yujin LiDepartment of Stomatology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, P. R. China.
Wenqi ChenDivision of Child Healthcare, Department of Pediatrics, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, P. R. China.
Hanyu LiDepartment of Neurobiology, School of Basic Medicine, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, P. R. China.
Shue LiDepartment of Stomatology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, P. R. China.
Cheng YangDepartment of Stomatology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, P. R. China.
Silin LiuDepartment of Stomatology, Affiliated Hospital of Chifeng University, Mongolia, P. R. China.
Yunyun HanDepartment of Neurobiology, School of Basic Medicine, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, P. R. China.
Bin SuState Key Laboratory of Materials Processing and Die & Mould Technology, School of Materials Science and Engineering, Huazhong University of Science and Technology, Wuhan, P. R. China.ORCID https://orcid.org/0000-0002-7122-6694
Yumei DingDepartment of Stomatology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, P. R. China.ORCID https://orcid.org/0000-0001-5315-7122

Funding

Basic Research Support Program of HUST 5003520006National Natural Science Foundation of China 2024KJHZ0006National Natural Science Foundation of China 82201109National Natural Science Foundation of China 82370972National Natural Science Foundation of China 82401191Natural Science Foundation of Hubei Province 2022CFB636Open Project for State Key Laboratory of Oral Diseases SKLOD2024OF05Science Fund for Distinguished Young Scholars of Hubei Province 2024AFA097
6 · The paper itself

Abstract

Diverse material species, ranging from gold to ceramic, have been selected to construct dental implants in the past decades. However, existing implants are primarily designed to restore masticatory function yet fail to completely recover the sensory feedback of natural teeth. Deprivation of sensory inputs impairs the perception of food texture and hinders the regulation of chewing force. This defect could result in unnecessary overload, leading to technical complications and biological failures, such as bone loss and temporomandibular joint damage, which remarkably limit their clinical outcomes. To endow the implanted tooth with masticatory perception, herein we demonstrate a 3D-printed piezoelectric-core/robust-sheath implanted tooth can rebuild the sensing feedback, serving as "mechanoreceptors" in converting mechanical chewing force to electrical signals, and up to brain through surrounding alveolar nerves. Working mechanism for the piezoelectric tooth has been revealed by real-time tracing of neurological activities in the mouse brain in response to simulating occlusal stimulus. Furthermore, more than 90% patients in clinical cases subjectively admitted the rebuilding of their masticatory perception after being implanted the piezoelectric tooth. These findings substantially advance the field of smart implants and herald a promising avenue for medical engineering aimed at enhancing the multi-functionality of implants in their applications.

Indexed as

Dental ImplantsMasticationToothAnimalsHumansMicePrinting, Three-DimensionalDental Implantsimplanted toothmasticatory perceptionpiezoelectric conversion

Identifiers

PMID41869754
PMCPMC13252652

What Socratic 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 Socratic graph.