Back

Functional synaptic connectivity of engrafted spinal cord neurons with locomotor circuitry in the injured spinal cord

Tucker, A.; Eisdorfer, J. T.; Thackray, J. K.; Vo, K.; Thomas, H.; Tandon, A.; Moses, J.; Singletary, B.; Gillespie, T.; Smith, A.; Pauken, A.; Nadella, S.; Pitonak, M.; Letchuman, S.; Jang, J.; Totty, M.; Jalufka, F. L.; Aceves, M.; Adler, A. F.; Maren, S.; Blackmon, H.; McCreedy, D. A.; Abraira, V. E. G.; Dulin, J. N.

2025-04-05 neuroscience
10.1101/2025.04.05.644402 bioRxiv
Show abstract

Spinal cord injury (SCI) results in significant neurological deficits, with no currently available curative therapies. Neural progenitor cell (NPC) transplantation has emerged as a promising approach for neural repair, as graft-derived neurons (GDNs) can integrate into the host spinal cord and support axon regeneration. However, the mechanisms underlying functional recovery remain poorly understood. In this study, we investigate the synaptic integration of NPC-derived neurons into locomotor circuits, the projection patterns of distinct neuronal subtypes, and their potential to modulate motor circuit activity. Using transsynaptic tracing in a mouse thoracic contusion SCI model, we found that NPC-derived neurons form synaptic connections with host locomotor circuits, albeit at low frequencies. Furthermore, we mapped the axon projections of V0C and V2a interneurons, revealing distinct termination patterns within host spinal cord laminae. To assess functional integration, we employed chemogenetic activation of GDNs, which induced muscle activity in a subset of transplanted animals. However, NPC transplantation alone did not significantly improve locomotor recovery, highlighting a key challenge in the field. Our findings suggest that while GDNs can integrate into host circuits and modulate motor activity, synaptic connectivity remains a limiting factor in functional recovery. Future studies should focus on enhancing graft-host connectivity and optimizing transplantation strategies to maximize therapeutic benefits for SCI.

Matching journals

The top 10 journals account for 50% of the predicted probability mass.

1
Experimental Neurology
57 papers in training set
Top 0.1%
12.7%
2
Stem Cell Research & Therapy
30 papers in training set
Top 0.1%
8.4%
3
Brain Research
35 papers in training set
Top 0.1%
6.3%
4
Scientific Reports
3102 papers in training set
Top 31%
4.0%
5
eLife
5422 papers in training set
Top 22%
4.0%
6
Frontiers in Neuroscience
223 papers in training set
Top 1%
4.0%
7
Journal of Neurotrauma
27 papers in training set
Top 0.2%
3.6%
8
iScience
1063 papers in training set
Top 5%
3.6%
9
Cell Reports
1338 papers in training set
Top 19%
2.6%
10
The FASEB Journal
175 papers in training set
Top 0.5%
2.6%
50% of probability mass above
11
eneuro
389 papers in training set
Top 4%
2.1%
12
JCI Insight
241 papers in training set
Top 3%
1.8%
13
Neurotherapeutics
11 papers in training set
Top 0.2%
1.7%
14
Frontiers in Cell and Developmental Biology
218 papers in training set
Top 4%
1.7%
15
Journal of Comparative Neurology
66 papers in training set
Top 0.4%
1.5%
16
Neuroscience
88 papers in training set
Top 2%
1.3%
17
Molecular Therapy
71 papers in training set
Top 2%
1.3%
18
Theranostics
33 papers in training set
Top 0.8%
1.3%
19
The Journal of Neuroscience
928 papers in training set
Top 7%
1.2%
20
International Journal of Molecular Sciences
453 papers in training set
Top 11%
1.2%
21
Journal of Neural Engineering
197 papers in training set
Top 1%
1.2%
22
npj Regenerative Medicine
21 papers in training set
Top 0.2%
1.2%
23
Stem Cell Reports
118 papers in training set
Top 0.7%
1.1%
24
Pain
70 papers in training set
Top 0.7%
0.9%
25
Muscle & Nerve
10 papers in training set
Top 0.3%
0.9%
26
Cell Death & Disease
126 papers in training set
Top 2%
0.9%
27
Glia
74 papers in training set
Top 0.5%
0.8%
28
PLOS ONE
4510 papers in training set
Top 66%
0.8%
29
Frontiers in Cellular Neuroscience
79 papers in training set
Top 1%
0.8%
30
The Journal of Physiology
134 papers in training set
Top 2%
0.7%