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Investigating neurochemical techniques for assessment of nerve

regenerates within polymer guides

Chung-Chia Chen1,2, Chu-Ying Chan2, Li-Shu Chen2,

Fuu-Jen Tsai2, Chun-Hsu Yao2,3†,Chin-Chuan Tsai4,5†, Yueh-Sheng Chen2,3*†

1

Department of Chinese Medicine, Taipei City Hospital, Taipei, Taiwan 2

Lab of Biomaterials, School of Chinese Medicine, China Medical University, Taichung, Taiwan

3

Department of Biomedical Imaging and Radiological Science, China Medical University, Taichung, Taiwan

4

School of Chinese Medicine for Post-Baccalaureate, I-Shou University, Kaohsiung, Taiwan

5

Chinese Medicine Department, E-DA Hospital, Kaohsiung, Taiwan

Running title: Neurochemical assessment of regenerated nerves

†These authors contributed equally to this work.

*Corresponding author: Yueh-Sheng Chen, PhD

Lab of Biomaterials, School of Chinese Medicine,

China Medical University, Taichung, Taiwan

Tel.: 886-4-22053366 ext. 3308; Fax: 886-4-22032295

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Abstract

This research evaluated the use of proteins associated with neurite outgrowth,

synapse formation, and Schwann cell proliferation as surrogate measures for

peripheral nerve regeneration. Rat sciatic nerve regeneration was across a 10-mm gap

in silicone rubber conduits (SRCs), genipin-crosslinked gelatin conduits (GGCs), and

porous GGCs (PGGCs). After 8 weeks, axonal growth of regenerated nerves was

determined using light microscopy and computer-based quantitative image analysis.

Expression of the axonal growth associated protein 43 (GAP-43), the synaptic protein

synapsin I, and the transforming growth factors type β (TGF-βs) in regenerated

nerves were assessed simultaneously by Western blot. As a result, the nerve

regenerates in the silicone rubber conduits had a relatively larger area containing more

myelinated axons compared to those in the PGGCs and the GGCs. The levels of

GAP-43 and synapsin I, but not TGF-β, correlated well with axonal growth in the

regenerated nerves. These data suggest that SRCs could provide a more stable and

suitable growth environment for regenerating axons than PGGCs and GGCs. In

addition, GAP-43 and synapsin I may be a useful indicator of the status of

regenerating axons in bridging conduits with different construction and physical

properties.

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1. Introduction

Tissue engineering has grown as an interdisciplinary field combination of cells,

engineering and biomaterials [1]. Specific biochemical functions were performed

using cells within an artificially-created support system to improve or replace

biological tissues, such as heart [2], skin [3], and bone tissues [4]. Recently, the use of

in vitro systems to assess developmental neurology is gaining momentum, and a

number of neuronal models have been used for examining potential biomaterials for

nerve regeneration. In particular, phenochromocytoma and Schwann cells have been

widely used to screen biocompatible materials as a model of neuronal proliferation

and differentiation [5-8]. However, there are limitations to the use of these cell lines.

First, they do not develop true axons, dendrites, or synapses with each other. In

addition, genetic drift with respect to repeated cell passage with a concomitant change

in phenotype could happen [9]. Therefore, in vivo models are necessary to be used for

revealing the real regeneration process in the developing nervous system.

Nerve bridge conduits have been used to study nerve regeneration in vivo [10-12].

The nerve bridge technique is the introduction of both ends of the injured nerve

stumps into a tubular chamber, which can aid guidance of growing nerve fibers along

appropriate paths and can enhance the precision of stump approximation. Several

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conduit. In the nondegradable materials, silicone rubber is the most acceptable

material applied to construct the nerve guide, mainly for its stable properties. It has

been demonstrated that silicone rubber conduits (SRCs) are well tolerated in humans

even after 3 years of implantation [13]. Numerous biodegradable materials have been

used to construct nerve guides to repair injured nerves, such as poly-lactic acid and

poly-glycolic acid [14,15]. Recently, a biodegradable material composed of

genipin-crosslinked gelatin has also been used to make nerve regeneration chambers

[16]. Gelatin, which is essentially denatured collagen, has a myriad of applications in

the food, pharmaceutical, and cosmetic industries [17]. As for the genipin, it is a

naturally occurring and low-cytotoxic crossing agent, which can be obtained from its

parent compound geniposide isolated from the fruits of Gardenia jasminoides Ellis

[18].

Neurochemical measurements of specific proteins such as neurotypic and

glialtypic proteins have been used to detect injury in the developing nervous system in

vivo [19]. Although not widely applied to date, the use of neurochemical measures of

nerve regeneration has the potential to add to data obtained from the use of the

aforementioned morphological measures. A number of neurotypic and glialtypic

proteins have been associated with PC12 cell differentiation and Schwann cell

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membrane-associated proteins, such as synapsin, and type β transforming growth

factors (TGF-βs) [20].

The present study examined the use of proteins associated with neurite

outgrowth, synapse formation, and Schwann cell proliferation and myelination as

surrogate measures of rat peripheral nerve regeneration in SRCs, genipin-crosslinked

gelatin conduits (GGCs), and porous GGCs (PGGCs). This work tested the hypothesis

that GAP-43, synapsin I, and TGF- β are sensitive to chemical disruption of

regenerated nerves in the three types of bridging conduits. The expression of GAP-43,

synapsin I, and TGF-β were determined at the same period of time and compared

with axonal growth in the regenerated nerves assessed using the morphological and

electrophysiological methods.

2. Materials and Methods

2.1. Manufacturing of PGGCs and GGCs

PGGCs and GGCs were constructed as described previously [21,22]. A

polypropylene tubing (4.3 mm ID) was used as a mold to control the exterior shape of

the PGGC. First, using a syringe, 50 ml of a 10% (w/w) solution of gelatin (300

bloom number, Sigma #G2500) in distilled water with a fine powder of gelatin was

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blocked with a plug. A glass rod (1.6 mm OD), used as a mandrel, was vertically

pushed along the wall of the polypropylene tubing through the opening without the

plug and into the gelatin paste. The open end of the polypropylene tubing was then

sealed with another plug. Next, lyophilization was performed for 3 days and the

specimens were retrieved from the polypropylene tubing, immersed in 0.5% (w/w)

solution of genipin (Challenge Bioproducts Co., Taichung, Taiwan) for 48 h for

cross-linking. The PGGC was then manually de-molded from the glass mandrel. To

clean the residual genipin, the PGGCs were immersed in distilled water for 30 min,

washed with distilled water for 10 times, and freeze-dried again before storage. To

allow fixation of the nerve tissue to the conduit, two small holes were drilled at both

ends of the PGGCs. Finally, the PGGCs were sterilized with 25 kGy ofγ-ray for subsequent implantation. As for the GGCs, a 10% (w/w) solution of gelatin in

distilled water at 60°C was prepared by magnetic stirring. A silicone rubber tube (1.96

mm OD; Helix Medical, Inc., Carpinteria, CA) was used as a mandrel vertically

dipped into the gelatin solution. The mandrel was then withdrawn slowly and allowed

to stand for 30 min for air-drying. Eight coating steps were used to obtain a gelatin

tube. The gelatin-coated mandrels were then cross-linked in a 0.5% (w/w) solution of

genipin for 48 h. The GGCs were then de-molded, cleaned, air-dried, and sterilized

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2.2. Cross-linking degree of PGGCs and GGCs

Ninhydrin assay was used to evaluate the cross-linking degree of PGGCs and

GGCs. Ninhydrin (2,2-dihydroxy-1,3-indanedione) was used to determine the amount

of amino groups of each test sample. The test PGGCs and GGCs were heated with a

ninhydrin solution for 20 min. After being heated with ninhydrin, the optical

absorbance of the solution was recorded using a spectrophotometer (Model

Genesys™ 10,SpectronicUnicam,New York,NY)at570 nm (wavelength ofthe blue-purple color) using gelatin at various known concentrations as standard. The

amount of free amino groups in the residual gelatin, after heating with ninhydrin, is

proportional to the optical absorbance of the solution. The cross-linking degree of

PGGCs and GGCs was then determined.

2.3. Bridging conduit implantation

A total of 36 adult Sprague-Dawley rats underwent placement of SRCs (1.47 mm

ID, 1.96 mm OD; Helix Medical, Inc., Carpinteria, CA), GGCs, and PGGCs (12 rats

per each tube group), which were removed upon sacrifice at 8 weeks. The animals

were anesthetized with an inhalational anesthetic technique (AErrane®, Baxter, USA).

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dissection, and the right sciatic nerve was severed into proximal and distal segments.

The proximal stump was then secured with a single 9-0 nylon suture through the

epineurium and the outer wall of the nerve conduits. The distal stump was secured

similarly into the other end of the chamber. Both the proximal and distal stumps were

secured to a depth of 2.5 mm into the chamber, leaving a 10-mm gap between the

stumps. The muscle layer was re-approximated with 4-0 chromic gut sutures, and the

skin was closed with 2-0 silk sutures. All animals were housed in temperature (22°C)

and humidity (45%) controlled rooms with 12-hour light cycles, and they had access

to food and water ad libitum. All animals were maintained in facilities approved by

China Medical University for Accreditation of Laboratory Animal Care, and

according to the regulations and standards of the National Science Council of Health

of the Republic of China.

2.4. Electrophysiological techniques

After 8 weeks of regeneration, all the animals with apparent nerve regeneration

were re-anaesthetized and the sciatic nerve exposed. The stimulating cathode was a

stainless-steel monopolar needle, which was placed directly on the sciatic nerve trunk,

5-mm proximal to the transection site. The anode was another stainless-steel

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conductive velocity (NCV) of the evoked muscle action potentials (MAP) were

recorded from gastrocnemius muscles with micro-needle electrodes linked to a

computer system (Biopac Systems, Inc., USA). The amplitude and the area under the

MAP curve from the baseline to the maximal negative peak were calculated. The

MAP was used to calculate the NCV, which was carried out by placing the recording

electrodes in the gastrocnemius muscles and stimulating the sciatic nerve proximally

and distally to the bridging conduit. The NCV was then calculated by dividing the

distance between the stimulating sites by the difference in latency time.

2.5. Histological measures

Immediately after the recording of muscle action potential, sciatic nerve sections

were extracted from the middle of the regenerated nerve in the chamber. The rest of

the nerve tissues were used for later neurochemical measurements. Following fixation,

the nerve tissue was post-fixed in 0.5% osmium tetroxide, dehydrated, and embedded

in Spurr’sresin.The tissue was then cut to a thickness of 5 µm using a microtome (Leica EM UC6, Leica Biosystems, Mount Waverley, Australia) with a dry glass knife,

stained with Toluidine Blue. All tissue samples were observed under a light

microscope (Olympus IX70, Olympus Optical Co., Ltd., Japan). An image analyzer

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counted the blood vessels and calculated the cross-sectional area of each nerve section

at magnifications between 40x and 400x. At least 30 to 50% of the nerve section area

was randomly selected from each nerve specimen at a magnification of 400x to count

the axons. The axon counts were extrapolated by using the area algorithm to estimate

the total number of axons in each nerve. Axon density was then obtained by dividing

the axon counts by the total nerve areas. All data are expressed as mean ± standard

deviation. Statistical comparisons between groups were made using the one-way

ANOVA. A p value of < 0.05 was considered statistically significant.

2.6. Neurochemical measures

GAP-43, synapsin I, and TGF-β were quantified using electrophoresis and

Western blot analysis. Protein concentration of sciatic nerve extracts was determined

by the Bradford method (Bio-Rad Protein Assay, Hercules, CA). Protein samples (50 μg/lane) were separated on a 10% SDS polyacrylamide gel electrophoresis (SDS-PAGE) with a constant voltage of 75 V. Electrophoresed proteins were

transferred to polyvinylidene difluoride (PVDF) membrane (Millipore, Bedford, MA, 0.45 μm pore size) with a transfer apparatus (Bio-Rad Protein Assay, Hercules, CA). PVDF membranes were incubated in 5% milk in TBS buffer. Primary antibodies

including GAP-43 (Abcam, Cambridge, MA), synapsin I (Millipore, Bedford, MA),

and TGF-β(Millipore, Bedford, MA) and α-tubulin (Neo Markers, Fremont, CA) were diluted to 1:500 in antibody binding buffer overnight at 4°C. The immunoblots

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antibody solution containing goat anti-mouse IgG-HRP, goat anti-rabbit IgG-HRP, or

donkey anti goat IgG-HRP for 1 hour and diluted 500-fold in TBS buffer. The

immunoblots were then washed in TBS buffer for 10 min three times. For repeated

blotting, nitrocellulose membranes were stripped with Restore Western blot stripping

buffer (Pierce Biotechnology, Rockford, IL) at room temperature for 30 min. The

immunoblotted proteins were visualized using an enhanced chemiluminescence ECL

Western blotting luminal reagent (Santa Cruz, CA) and quantified using a Fujifilm

LAS-3000 chemiluminescence detection system (Tokyo, Japan). All data are

expressed as mean ± standard deviation. Statistical comparisons of Western blot data

between groups were made using the one-way ANOVA. A p value of < 0.05 was

considered statistically significant.

3. Results

3.1. Macroscopic observation of bridging conduits

The SRCs had a semitransparent chamber lumen (Fig. 1a) whereas the GGCs

(Fig. 1b) and the PGGCs (Fig. 1c) were dark blue in appearance caused by the

reaction between genipin and amino acids or proteins. The GGCs were concentric and

round with rough outer surface and the inner lumen was smooth. By comparison, the

PGGCs featured an outer surface with pores of variable size homogeneously

traversing their wall and a partially fenestrated inner surface connected by an open

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3.2. Physical characteristics of PGGCs and GGCs

The cross-linking index of PGGCs and GGCs, expressed as a percentage of free

amino groups lost during cross-linking, was 36±3%. It means that 1.0 wt.% genipin

was sufficient to cross-link about 36% of the amino groups.

3.3. Macroscopic observation of nerve regenerates

After 8 weeks of implantation, all the SRCs were intact with no swelling or

deformation. Brownish fibrous tissue encapsulation covered all over the chamber and

the parts of the nerve stumps in the chamber openings. However, the regenerated

nerve could be seen through the chamber lumen after trimming the fibrous tissue

(Figs. 2a, 2b). No nerve dislocation was noted and the regenerated nerve, which was

surrounded by fluid, occupied a central location within the chamber. By comparison,

the GGCs featured a partially fenestrated outer layer, however, they still remained

circular with a round lumen (Figs. 2c, 2d). As for the PGGCs, their process of

swelling and degradation was dramatic (Figs. 2e, 2f). Only a small amount of wall

residues was seen surrounding the regenerating nerve.

3.4. Morphological evaluation of regenerated nerves

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consisted mainly of a collagenous connective tissue matrix in which circumferential

cells resembling perineurial cells and fibroblasts were seen (Fig. 3a). The endourium

components included fibroblasts, an occasional macrophage, and collagenous and,

mainly, reticular fibers which surrounded Schwann cells ensheathing the axons. The

nerve fibers were packed in the nerve bundles with oval appearances. Nuclei of

Schwann cells were interspersed among these nerve fibers. Axons in the endoneurium

were easily defined by their surrounding myelin sheaths stained dark blue by the

toluidine blue (Fig. 3b). Blood vessels were numerous in the epineurium as well as in

the endoneurial areas of the nerve. By comparison, the regenerated nerves in the

GGCs displayed a structure with a thin epineurium surrounding by thick fibrous

tissues (Fig. 3c). The endoneurium was cellular and vascularized in which thinly

myelinated fibers grouped in regenerative clusters were evident. In addition, Schwann

cells organized in clusters surrounding groups of unmyelinated axons were present

(Fig. 3d). These axon-Schwann cluster formations, termed as regeneration units, are

common organization structures seen under nerve cuff bridging conditions. As seen in

the GGCs, it is still difficult to discriminate between the epineurium from the

surrounding thick fibrous tissues of the regenerates in the PGGCs (Fig. 3e). However,

the regenerated nerves in the PGGCs were relatively more mature compared to those

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myelinated axons had been seen (Fig. 3f).

3.5. Morphometric and electrophysiological measurements of regenerated nerves

Morphometric studies revealed constant data in regenerated nerves in the three

types of bridging conduits for their mean values of myelinated axon number, axon

density, and endoneurial nerve area. Specifically, the differences of the axon number

(Fig. 4a) and the axon density (Fig. 4b) in the GGCs compared to the SRCs and the

PGGCs reached the significant level at p = 0.05. In addition, the nerve regenerates in

the GGCs had a significantly smaller endoneurial area compared to those in the SRCs

(Fig. 4c). With respect to electrophysiology, morphometric observations were not

correlated with electromyography in the regenerated nerves (Figs. 5a-5c). Only the

nerves in the PGGCs had a significantly larger NCV compared to those in the SRCs

and GGCs (p < 0.05).

3.6. Neurochemical measurements of regenerated nerves

In the Western blot analysis, the nerve regenerates in the SRCs (p < 0.001) and

the PGGCs (p < 0.001) had a significantly higher expression of GAP-43 compared to

those in the GGCs (Fig. 6a). In addition, the nerve regenerates in the PGGCs (p =

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compared to those in the SRCs (Fig. 6b). On the contrary, the TGF-β expression was

significantly higher in the groups of PGGC (p < 0.001) and GGC (p < 0.001) as

compared to the SRC group (Fig. 6c).

4. Discussion

While designing polymer chambers used for nerve regeneration, investigators

must evaluate the effect of tube characteristics on the quality of regenerated nerves.

Nondegradable tubes can provide an isolated and stable environment for the nerves to

regenerate across the gap and toward the distal stump. However, they may also block

the nutrient and metabolic exchange between the lumen and the outside environment.

To improve this disadvantage, investigators have developed biodegradable conduits

which could maintain their structure integrity, permitting cell infiltration and

subsequent tissue ingrowth during the regenerative processes [23,24]. In the present

study, we used nondegradable SRCs and degradable GGCs and PGGCs to repair

dissected rat peripheral nerve. The dynamic nature of the developing nervous system

is so complex that it is not easy to assess nerve recovery in the animal just based on a

single criterion. Therefore, my group tried to use electrophysiological methods

accompanied with morphological observations to evaluate regenerated rat sciatic

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electrophysiological measurements as seen in the present study, which may result

from serious gastrocnemius muscle atrophy even though the muscle fibers had been

reinnervated [25]. Gait analysis is another popular way to evaluate the nerve

regenerates. However, the missing toes caused by automutilation due to nerve injury

could result in inconsistent walking patterns [26]. We therefore developed the

neurochemical ways in this study to assist in the morphometric measurements.

In the neurochemical analyses, the expression of GAP-43, synapsin I, and

TGF-β was determined over the same time period of nerve regeneration in the bridging

conduits. GAP-43 is a marker for growth cones and elongating axon of developing

neurons [27]. High levels of GAP-43 expression are correlated with the beginning of

neurite outgrowth. As for the synapsins, they are abundant phosphoproteins essential

for regulating neurotransmitter release and increase in level with the formation of

mature synapses in developing cell cultures [28]. In the present study, the expression

of GAP-43 and synapsin I of nerve regenerates was significantly higher in the group

of SRCs as compared to the GGCs. This result is similar to the morphological

measurements of nerve regeneration in that the regenerates in the GGCs had a less

mature microstructure with a significantly smaller area containing fewer myelinated

axons. These results imply that though the SRCs were nondegradable, they still

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toward the distal stump. On the contrary, the GGCs had fewer myelinated axons with

numerous degenerating fibers even after 8 weeks of regeneration, though these

bridging conduits were degradable. Interestingly, regenerates in PGGCs had more

myelinated axons as compared to those in GGCs. Accordingly, these results indicate

that how to select a suitable material used for nerve entubulization is a serious

challenge. We believe that the nondegradable material, such as the silicone rubber

used in this study, is the best candidate in constructing the bridging conduit for its

superior properties which can provide a continuous and stable growth environment for

the regenerating nerves. By comparison, a delay in temporal events of nerve

regeneration was noted in the GGCs compared to those in the SRCs. It is most likely

that the GGCs degraded at a rate slower than expected, resulting in their degraded

materials and the metabolites produced by the regenerating nerves were sealed up in

the tube lumens. This could trigger the cellular activity vigorously, causing deleterious

effects on the regenerating nerves. The controversial result was dramatically improved

by using the PGGCs, suggesting that the progressive increase in wall permeability of

bridging conduits could accelerate collapse of the tube walls, allowing evacuation for

the hazardous materials and entrance of more nutrients and cells that could promote

nerve regeneration.

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can stimulate DNA synthesis in quiescent cells and increase their proliferation rate

[29]. In adult animals, Schwann cells can provide their basal lamina as a substratum

for the regenerating axons to adhere and grow [30]. In the present study, the

expression of TGF-βof nerve regenerates was significantly higher in the groups of

GGCs and PGGCs as compared to the SRCs. This result is not consistent with our

morphometric measurements since if the Schwann cells are beneficial to regenerating

axons, the expression of TGF-βof nerve regenerates in the SRCs should be higher

than that in the GGCs. This result inspired us to look deeper into the TGF-βfor its

role playing in the nerve regeneration. In the literature, we found that the TGF-βhad

versatile functions. In addition to the Schwann cell proliferation-promoting capability,

the TGF-βcan also activate monocytes, generating fibroblast growth-promoting

factors to induce fibrosis [31]. Based on these theories, we believe the high levels of

TGF-β in the PGGCs and GGCs were coming from the thick fibrous tissues at the

outer layers of the nerve regenerates. By comparison, the nerve regenerates in the

SRCs had no such mass with only a thin epineurium surrounding the inner

endoneurium.

5. Conclusions

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axonal outgrowth and neuronal maturation have the potential to serve as surrogate

markers of peripheral nerve regeneration. In particular, changes in GAP-43 and

synapsin I expression correlated well with axon growth in bridging conduits made by

different types of biomaterials. For TGF-β, its versatile biochemical functions may

deviate histological observations from morphological measures of the regenerated

nerves.

Acknowledgements

The authors would like to thank China Medical University and Hospital

(CMU96-172; CMU97-139; DMR-97-055; DMR-98-054) and Taiwan Department of

Health Clinical Trial and Research Center of Excellence (Contract No.

DOH100-TD-B-111-004) for financially supporting this research.

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peripheral nerve regeneration: in vitro and in vivo studies,”J. Biomed. Mater. Res.

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(25)

Captions

Fig. 1. Macrographs of (a) SRC, (b) GGC, and (c) PGGC.

Fig. 2. (a) SRC, (c) GGC, and (e) PGGC 8 weeks of implantation. Regenerated

nerve exposed after trimming the remained bridging materials of (b) SRC, (d)

GGC, and (f) PGGC.

Fig. 3. Photomicrographs of regenerated sciatic nerve sections 8 weeks after

surgery stained with Toluidine Blue. (a) Regenerated nerve repaired with

SRC had a well-defined structure in which the endoneurium (circle inside)

was highly cellular and vascularized. In the epineurium, circumferential cells

resembling perineurial cells (asterisks in insert and (a)) and fibroblasts

(small arrow in insert and (a)) were seen. By comparison, regenerated nerve

repaired with (c) GGC formed thick fibrous tissues and a thin epineurium

(regions between arrows in insert and (c)) surrounding the inner

endoneurium (circle inside). (e) Similarly, thick fibrous tissues of the

regenerates were seen in the PGGCs. Abundant myelinated axons were seen

in the regenerated nerves repaired with (b) SRC and (f) PGGC. (d) In the

GGC, thinly myelinated fibers grouped in regenerative clusters (arrows)

were evident accompanied by numerous degenerating fibers In addition,

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axons were present (arrowheads in insert and (d)). Scale bars in a, c and e =

100 µm; b, d and f = 30 µm; insert in (a), (d) = 20 µm, (c) = 30 µm.

Fig. 4. Morphometric analysis from regenerated nerves in bridging conduits,

including (a) myelinated axon count, (b) axon density, and (c) endoneurial

area. Data are means ± S.E. (n=12). *Significantly different at p<0.05.

Fig. 5: Analysis of the evoked muscle action potentials, including (a) peak

amplitude, (b) MAP area, and (c) NCV. *Significantly different at p<0.05.

Fig. 6. Representative immunoblots for (a) GAP-43, (b) synapsin I, and (c) TGF-β,

and quantification of the three protein levels in regenerated nerves.

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Fig. 1a

Fig. 1b

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Fig. 2a Fig. 2b

Fig. 2c Fig. 2d

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Fig. 3a

Fig. 3b

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Fig. 3c

(31)

Fig. 3e

(32)

Fig. 4a Fig. 4b * * * *

(33)

Fig. 4c *

(34)

Fig. 5a

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Fig. 5c

* *

(36)

SRC PGGC GGC Fig. 6a ← 43 KDa ← 42 KDa β-actin GAP43 * *

(37)

SRC PGGC GGC Fig. 6b ← 42KDa ← 70KDa synapsin I β-actin * *

(38)

SRC PGGC GGC Fig. 6c ← 25KDa ← 42KDa TGF-β1 β-actin * *

數據

Fig. 2c Fig. 2d

參考文獻

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