Evidence map›Paper›PMID 41541676›Full record

ArticleiScience2026

Directed functional reinnervation to curb nociception and enable sensation.

Lillian Zhu, Benjamin R Johnston, Vlad Tereshenko, Joshua D Bernstock, Sabrina C Liu, Alexander M Madinger, Patrick M Pariseau, Arriyan S Dowlatshahi, Kyle R Eberlin, Shriya S Srinivasan

Abstract read
In one paragraph

Article in iScience, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

10 authors.

Lillian ZhuHarvard Medical School, Boston, MA, USA.
Benjamin R JohnstonBrigham and Women's Hospital, Boston, MA, USA.
Vlad TereshenkoMassachusetts General Hospital, Boston, MA, USA.
Joshua D BernstockMassachusetts Institute of Technology, Cambridge, MA, USA.
Sabrina C LiuMassachusetts Institute of Technology, Cambridge, MA, USA.
Alexander M MadingerMassachusetts Institute of Technology, Cambridge, MA, USA.
Patrick M PariseauHarvard BIONICs Lab, Harvard School of Engineering and Applied Sciences, Boston, MA, USA.
Arriyan S DowlatshahiBeth Israel Deaconess Medical Center, Boston, MA, USA.
Kyle R EberlinMassachusetts General Hospital, Boston, MA, USA.
Shriya S SrinivasanMassachusetts Institute of Technology, Cambridge, MA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Peripheral nerve injuries lead to diminished function and pain via nociplastic phenomena. We propose a new strategy called directed functional reinnervation, in which nerves are reassigned to new peripheral targets with the intention of altering circuit function. Here, we redirect the saphenous sensory nerve into a skeletal muscle graft to curb nociplasticity and provide benign sensations or useful inputs for prosthetic applications. Electrophysiological functional characterization demonstrated robust afferent responses to mechanical stimulation of the muscle. Immunofluorescence staining indicated widespread innervation of various synapses within the muscle graft. With immediate graft placement, the injured nerve's dorsal root ganglia revealed comparable levels of nociceptive markers to uninjured nerves, suggesting a molecular basis for the prevention of pain sensitization. These findings contribute to the mechanism by which skeletal muscle grafts alleviate neuropathic pain and can be used as a sensory transmitter in conjunction with neural interfaces.

Indexed as

Behavioral neuroscienceCognitive neuroscienceNeuroscienceSensory neuroscience

Identifiers

PMID41541676
PMCPMC12799798

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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.