2020
DOI: 10.1093/neuros/nyaa106
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A Porcine Model of Peripheral Nerve Injury Enabling Ultra-Long Regenerative Distances: Surgical Approach, Recovery Kinetics, and Clinical Relevance

Abstract: BACKGROUND Millions of Americans experience residual deficits from traumatic peripheral nerve injury (PNI). Despite advancements in surgical technique, repair typically results in poor functional outcomes due to prolonged periods of denervation resulting from long regenerative distances coupled with slow rates of axonal regeneration. Novel surgical solutions require valid preclinical models that adequately replicate the key challenges of clinical PNI. … Show more

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Cited by 26 publications
(43 citation statements)
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References 88 publications
(97 reference statements)
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“…This factor negatively affects the ability of distal nerve structures to support regeneration and reinnervation of target organs [12]. The creation and development of new approaches to stimulate peripheral nerve regeneration, although necessary, require the use of reliable preclinical models that adequately mimic the challenges associated with clinical PNI [13].…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…This factor negatively affects the ability of distal nerve structures to support regeneration and reinnervation of target organs [12]. The creation and development of new approaches to stimulate peripheral nerve regeneration, although necessary, require the use of reliable preclinical models that adequately mimic the challenges associated with clinical PNI [13].…”
Section: Introductionmentioning
confidence: 99%
“…Larger animal models are ideal for simulating the long-distance nerve defects and regenerative phenomena that are observed in human PNI. Since these models can more reliably replicate some characteristics of human nerves, such as their structural composition, dimensions, diameter and regenerative process, there are already several published studies based on the use of dogs [16,17], cats [18], rabbits [19], non-human primates [20], pigs [13,21], mini-pigs [22], guinea-pigs [23], and sheep models [24].…”
Section: Introductionmentioning
confidence: 99%
“…Indeed, a major consideration for development of novel, clinically translatable NGTs is the inability of rodent models to fully replicate human segmental nerve defects due to critical differences in biological physiology and the short regenerative distances to distal end‐target relative to the longer distances implicated in poor functional recovery in humans 13 . Thus, to evaluate whether a novel biomaterial designed for nerve regeneration has potential for clinical translation, demonstration of regenerative efficacy and evaluation of host responses should be performed using in a suitable large animal pre‐clinical model 14 . The transition of a novel biomaterial from evaluation in a small animal model to a large animal model typically follows a two‐step process—the critical first step is to investigate acute regeneration in a short (e.g., 1 cm) nerve gap.…”
Section: Introductionmentioning
confidence: 99%
“…The creation and development of new approaches to stimulate peripheral nerve regeneration, although necessary, require the use of reliable preclinical models that adequately mimic the challenges associated with clinical PNI (26). Traditionally, peripheral nerve regeneration studies have been conducted in small animal models such as rodents, but the differences between species are several and limit the clinical translation of the obtained results.…”
Section: Introductionmentioning
confidence: 99%
“…Larger animal models are ideal for simulating the long-distance nerve defects and regenerative phenomena that are observed in human PNI. Since these models can more reliably replicate some characteristics of human nerves, such as their structural composition, dimensions, diameter and regenerative process, there are already several published studies based on the use of dogs (29,30), cats (31), rabbits (32), non-human primates (33), pigs (26,34), mini-pigs (35), guinea-pigs (36), and sheep models (37).…”
Section: Introductionmentioning
confidence: 99%