Evidence map›Paper›PMID 34479193›Full record

Trial reportJournal of neurosurgery. Spine2022

Scalable culture techniques to generate large numbers of purified human Schwann cells for clinical trials in human spinal cord and peripheral nerve injuries.

Aisha Khan, Anthony Diaz, Adriana E Brooks, S Shelby Burks, Gagani Athauda, Patrick Wood, Yee-Shuan Lee, Risset Silvera, Maxwell Donaldson, Yelena Pressman and 6 more

Open access · greenAbstract readClinical Trial
In one paragraph

Trial report in Journal of neurosurgery. Spine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 2 pooled it
1.7field-weighted citation impact, top 17% 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

14 citing papers in PubMed, 2 syntheses or guidelines pooled it, 20 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
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  5. Article
  6. Review
  7. Schwann cells in regeneration and cancer.Frontiers in pharmacology · 2025
    Review
  8. Article
  9. Article
  10. Article
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  12. Review
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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

16 authors at 4 institutions in 2 countries.

Aisha Khan1The Miami Project to Cure Paralysis.
Anthony Diaz1The Miami Project to Cure Paralysis.
Adriana E Brooks1The Miami Project to Cure Paralysis.
S Shelby Burks1The Miami Project to Cure Paralysis.
Gagani Athauda7Department of Cellular Biology and Pharmacology, Herbert Wertheim College of Medicine, Florida International University, Miami, Florida; and.
Patrick Wood1The Miami Project to Cure Paralysis.
Yee-Shuan Lee3Interdisciplinary Stem Cell Institute, and Departments of.
Risset Silvera1The Miami Project to Cure Paralysis.
Maxwell Donaldson1The Miami Project to Cure Paralysis.
Yelena Pressman1The Miami Project to Cure Paralysis.
Kim D Anderson8Department of Physical Medicine and Rehabilitation, MetroHealth Medical Center, Institute for Functional Restoration, Case Western Reserve University School, Cleveland, Ohio.
Mary Bartlett Bunge1The Miami Project to Cure Paralysis.
Damien D Pearse1The Miami Project to Cure Paralysis.
W Dalton Dietrich1The Miami Project to Cure Paralysis.
James D Guest1The Miami Project to Cure Paralysis.
Allan D Levi1The Miami Project to Cure Paralysis.
Neurological Surgery · USStem Cell Institute · PAFlorida International University · USMetroHealth Medical Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveSchwann cells (SCs) have been shown to play an essential role in axon regeneration in both peripheral nerve injuries (PNIs) and spinal cord injuries (SCIs). The transplantation of SCs as an adjunctive therapy is currently under investigation in human clinical trials due to their regenerative capacity. Therefore, a reliable method for procuring large quantities of SCs from peripheral nerves is necessary. This paper presents a well-developed, validated, and optimized manufacturing protocol for clinical-grade SCs that are compliant with Current Good Manufacturing Practices (CGMPs).

methodsThe authors evaluated the SC culture manufacturing data from 18 clinical trial participants who were recruited for autologous SC transplantation due to subacute SCI (n = 7), chronic SCI (n = 8), or PNIs (n = 3). To initiate autologous SC cultures, a mean nerve length of 11.8 ± 3.7 cm was harvested either from the sural nerve alone (n = 17) or with the sciatic nerve (n = 1). The nerves were digested with enzymes and SCs were isolated and further expanded in multiple passages to meet the dose requirements for transplantation.

resultsAn average yield of 87.2 ± 89.2 million cells at P2 and 150.9 ± 129.9 million cells at P3 with high viability and purity was produced. Cell counts and rates of expansion increased with each subsequent passage from P0 to P3, with the largest rate of expansion between P2 and P3. Larger harvest nerve lengths correlated significantly with greater yields at P0 and P1 (p < 0.05). In addition, a viability and purity above 90% was sustained throughout all passages in nearly all cell products.

conclusionsThis study presents reliable CGMP-compliant manufacturing methods for autologous SC products that are suitable for regenerative treatment of patients with SCI, PNI, or other conditions.

Indexed as

Cell TransplantationAdultCell Culture TechniquesCell ProliferationCell SurvivalFemaleHumansMaleMiddle AgedPeripheral Nerve InjuriesReproducibility of ResultsSchwann CellsSpinal Cord InjuriesTransplantation, AutologousYoung Adultcell manufacturingCGMPclinical trialsCurrent Good Manufacturing Practicesperipheral nerve injurySchwann cellsspinal cord injury

Identifiers

PMID34479193
PMCPMC10193489
OpenAlexW3197619116

What OpenQuestion holds

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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 OpenQuestion graph.