Evidence map›Paper›PMID 26414439›Full record

ArticleTissue engineering. Part A2015

Rebuilding Brain Circuitry with Living Micro-Tissue Engineered Neural Networks.

Laura A Struzyna, John A Wolf, Constance J Mietus, Dayo O Adewole, H Isaac Chen, Douglas H Smith, D Kacy Cullen

Open access · greenAbstract read
In one paragraph

Article in Tissue engineering. Part A, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed
3.2field-weighted citation impact, top 8% 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

40 citing papers in PubMed, 70 citations in OpenAlex.

  1. Capturing the Electrical Activity of all Cortical Neurons: Are Solutions Within Reach?Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
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  11. Chemical reviews · 2022
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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

7 authors at 1 institution in 1 country.

Laura A Struzyna1 Center for Brain Injury and Repair, Department of Neurosurgery, Perelman School of Medicine, University of Pennsylvania , Philadelphia, Pennsylvania.
John A Wolf1 Center for Brain Injury and Repair, Department of Neurosurgery, Perelman School of Medicine, University of Pennsylvania , Philadelphia, Pennsylvania.
Constance J Mietus1 Center for Brain Injury and Repair, Department of Neurosurgery, Perelman School of Medicine, University of Pennsylvania , Philadelphia, Pennsylvania.
Dayo O Adewole1 Center for Brain Injury and Repair, Department of Neurosurgery, Perelman School of Medicine, University of Pennsylvania , Philadelphia, Pennsylvania.
H Isaac Chen1 Center for Brain Injury and Repair, Department of Neurosurgery, Perelman School of Medicine, University of Pennsylvania , Philadelphia, Pennsylvania.
Douglas H Smith1 Center for Brain Injury and Repair, Department of Neurosurgery, Perelman School of Medicine, University of Pennsylvania , Philadelphia, Pennsylvania.
D Kacy Cullen1 Center for Brain Injury and Repair, Department of Neurosurgery, Perelman School of Medicine, University of Pennsylvania , Philadelphia, Pennsylvania.
University of Pennsylvania · US

Funding

BRIAN INJURY TRAINING GRANTT32NS043126 · NINDS · UNIVERSITY OF PENNSYLVANIA · PI Douglas Hamilton Smith · 2003 to 2026
$5.9M
Biological 'Living Electrodes' Using Tissue Engineered Axonal Tracts to Probe and Modulate the Nervous SystemU01NS094340 · NINDS · UNIVERSITY OF PENNSYLVANIA · PI CULLEN, DANIEL KACY · 2015 to 2017
$2.0M
Detection and Mechanisms of Mild Traumatic Brain InjuryR01NS092398 · NINDS · UNIVERSITY OF PENNSYLVANIA · PI SMITH, DOUGLAS HAMILTON · 2015 to 2019
$1.9M
NINDS NIH HHS R01 NS092398NINDS NIH HHS T32 NS043126NINDS NIH HHS T32-NS043126NINDS NIH HHS U01 NS094340RRD VA I01 RX001097
6 · The paper itself

Abstract

Prominent neuropathology following trauma, stroke, and various neurodegenerative diseases includes neuronal degeneration as well as loss of long-distance axonal connections. While cell replacement and axonal pathfinding strategies are often explored independently, there is no strategy capable of simultaneously replacing lost neurons and re-establishing long-distance axonal connections in the central nervous system. Accordingly, we have created micro-tissue engineered neural networks (micro-TENNs), which are preformed constructs consisting of long integrated axonal tracts spanning discrete neuronal populations. These living micro-TENNs reconstitute the architecture of long-distance axonal tracts, and thus may serve as an effective substrate for targeted neurosurgical reconstruction of damaged pathways in the brain. Cerebral cortical neurons or dorsal root ganglia neurons were precisely delivered into the tubular constructs, and properties of the hydrogel exterior and extracellular matrix internal column (180-500 μm diameter) were optimized for robust neuronal survival and to promote axonal extensions across the 2.0 cm tube length. The very small diameter permits minimally invasive delivery into the brain. In this study, preformed micro-TENNs were stereotaxically injected into naive rats to bridge deep thalamic structures with the cerebral cortex to assess construct survival and integration. We found that micro-TENN neurons survived at least 1 month and maintained their long axonal architecture along the cortical-thalamic axis. Notably, we also found neurite penetration from micro-TENN neurons into the host cortex, with evidence of synapse formation. These micro-TENNs represent a new strategy to facilitate nervous system repair by recapitulating features of neural pathways to restore or modulate damaged brain circuitry.

Indexed as

AnimalsBrainCells, CulturedGuided Tissue RegenerationMaleNerve NetNerve RegenerationNeuronsNeurosurgical ProceduresRatsRats, Sprague-DawleyTissue EngineeringTissue ScaffoldsTreatment Outcome

Identifiers

PMID26414439
PMCPMC4652241
OpenAlexW2108410850

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.