Daniela N Urrutia1, Pablo Caviedes2,3, Rodrigo Mardones1,4, José J Minguell1, Ana Maria Vega-Letter5, Claudio M Jofre1. 1. Regenerative Cell Therapy Center, Clinica Las Condes, Santiago, Chile. 2. Program of Molecular & Clinical Pharmacology, ICBM, Faculty of Medicine, Universidad de Chile, Santiago, Chile. 3. Centro de Biotecnología y Bioingeniería (CeBiB), Departamento de Ingeniería Química, Biotecnología y Materiales, Facultad de Ciencias Físicas y Matemáticas, Universidad de Chile, Santiago, Chile. 4. Orthopedic Department, Clinica Las Condes, Santiago, Chile. 5. Program of Traslational Immunology ICIM, Faculty of Medicine, Clinica Alemana Universidad del Desarrollo, Santiago, Chile.
Abstract
Mesenchymal stem cells (MSCs) can trans/differentiate to neural precursors and/or mature neurons and promote neuroprotection and neurogenesis. The above could greatly benefit neurodegenerative disorders as well as in the treatment of post-traumatic and hereditary diseases of the central nervous system (CNS). In order to attain an ideal source of adult MSCs for the treatment of CNS diseases, adipose tissue, bone marrow, skin and umbilical cord derived MSCs were isolated and studied to explore differences with regard to neural differentiation capacity. In this study, we demonstrated that MSCs from several tissues can differentiate into neuron-like cells and differentially express progenitors and mature neural markers. Adipose tissue MSCs exhibited significantly higher expression of neural markers and had a faster proliferation rate. Our results suggest that adipose tissue MSCs are the best candidates for the use in neurological diseases.
Mesenchymal stem cells (MSCs) can trans/differentiate to neural precursors and/or mature neurons and promote neuroprotection and neurogenesis. The above could greatly benefit neurodegenerative disorders as well as in the treatment of post-traumatic and hereditary diseases of the central nervous system (CNS). In order to attain an ideal source of adult MSCs for the treatment of CNS diseases, adipose tissue, bone marrow, skin and umbilical cord derived MSCs were isolated and studied to explore differences with regard to neural differentiation capacity. In this study, we demonstrated that MSCs from several tissues can differentiate into neuron-like cells and differentially express progenitors and mature neural markers. Adipose tissue MSCs exhibited significantly higher expression of neural markers and had a faster proliferation rate. Our results suggest that adipose tissue MSCs are the best candidates for the use in neurological diseases.
Mesenchymal stem cells (MSCs) are a class of adult stem cells, which undergo
self-renewal and exhibit pluripotency [1]. In addition, MSCs have immunomodulatory
properties, produce trophic factors for tissue repair/regeneration [2, 3], and differentiate into various cell
lineages, including neurons and glial cells [4, 5].MSCs were originally identified in the bone marrow [6], they have also been found in other
locations such umbilical cord tissue [7], umbilical cord blood [8] adipose tissue [9] skin [10] teeth [11, 12] and pancreas [13]. Among all these tissues, adipose, skin and
umbilical cord are attractive choices to obtain cells due to the relatively easy
access to samples in clinical settings [10, 14–16].Accordingly, MSCs properties have laid a solid foundation for their clinical
application in the field of regenerative medicine [17, 18]. Furthermore, a precise characterization of
MSCs derived from different tissues sources represent an essential requirement for
the development of MSC-based therapies to repair and/or regenerate damaged
tissues.In the specific case of the central nervous system, nervous tissues show the most
limited regeneration and recovery capabilities after injury. In humans, neurogenesis
is restricted to the dentate gyrus of the hippocampus and, despite the existence of
endogenous neural stem cells, their capacity is not enough to induce full repair and
regeneration [19]. These
facts account for the devastating nature of many neurological diseases where
recovery is incomplete and major disability often results. Accordingly, the search
for new sources of stem cells with potential to differentiate into a neural
phenotype represents a central issue for the treatment of neurodegenerative
conditions, post-traumatic and/or hereditary diseases.In this regard, the promising results of animal and human studies using MSCs from
several tissue sources [20-28], have
presented the possibility of using these cells for neural repair. Nevertheless,
in vitro studies using MSCs isolated from bone marrow and
adipose tissue have shown variability in their ability to differentiate toward a
particular mature neural lineage [29, 30], to
generate functional neurons [31], as well as to support neural regeneration after transplantation
[32]. Since these
variations may result in heterogeneous clinical outcomes, there is a need to
establish a relevant MSC source for neurological repair and regeneration.In light of the above, the aim of this study was to evaluate the neural
differentiation capacity of ex vivo expanded MSCs isolated from
several human tissues, including adipose, bone marrow, skin and umbilical cord. The
data from the studies described herein may be valuable for selecting the proper
tissue source of MSC to be used therapeutically in neural regenerative
therapies.
Materials and methods
1. Collection and isolation of MSCs from the different tissue sources
This study was performed at the Regenerative Cell Therapy Center, Clinica Las
Condes, Santiago, Chile. Procedures carried out in this study complied with
regulations and were approved by the Research and Ethics Committees of Clinica
Las Condes. All donors and/or their parents gave written informed consent for
the use of the requested tissue. Average age of donors was 28 ± 5 years (with
the obvious exception of umbilical cord), gender ratio (male/female) was 7:2
(Table 1). No donors
used concomitant drugs.
Table 1
Tissue sources characteristics of MSCs utilized in this
study.
Tissue Source
Donor patient age average
Donor patient gender n = 3
Subculture passage(#) used
Bone Marrow
27
All male
3–5
Adipose
28
2 female 1 male
3–5
Skin
29
All male
3–4
Umbilical Cord
new born
-
3–5
Tissue sources characteristics of MSCs utilized in this study. Donor
patient age average and gender were n = 3.
Tissue sources characteristics of MSCs utilized in this study. Donorpatient age average and gender were n = 3.Mesenchymal Stem Cells (MSCs) were obtained from Adipose Tissue (AT), Bone Marrow
(BM), Skin, and Umbilical Cord (UC) (Table 1). For isolation of MSCs, the
respective tissues were processed according to indications [33] for Bone Marrow-derived
MSC (BM-MSC) and Adipose Tissue-derived MSC (AT-MSC), described in [34] for Umbilical
Cord-derived MSC (UC-MSC), and indicated in [35] for Skin-derived MSC (SD-MSC). BM
aspirates (n = 3) were obtained from the iliac crest. AT samples were obtained
during abdominal plastic surgeries (n = 3). Ten-centimeter-long UC were
collected and donated from consenting patients delivering full-term infants by
caesarian section (n = 3). Pieces of skin tissue from arms (n = 3) were
carefully dissected free of other tissue and cut into 2–3 mm3
pieces.
2. Culture and ex vivo expansion of MSCs obtained from the
different tissues sources
MSCs-derived from the above-indicated tissue sources were cultured under the same
culture conditions: growth medium, consisting in MinimumEssential Medium alpha
modification (α - MEM, Gibco-Invitrogen, USA) supplemented with 10% Fetal Bovine
Serum (FBS, Corning Cell Gro), 1X penicillin–streptomycin (Pen-strep, Biological
Industries). As soon as a culture reached confluence, cells were expanded. In
all studies, resulting MSCs at passage 3 to 5 were used.
3. Immunophenotyping
Cultures of Isolated MSCs obtained from the different origins were labeled with
the following anti-human antibodies: CD11b-AF488, CD29-PE, CD73-PE, CD90-FITC,
CD105-PE (BD Bioscience), CD34-PE, CD19-PE, CD45-FITC (Beckman C), and HLADR-PE
from Invitrogen. Mouse isotype antibodies served as respective controls
(Invitrogen). Labelled cells were analyzed using a FACS-Vantage-SE flow
cytometry system running CellQuest software (BD). The fluorescence signals were
collected using logarithmic amplification.
4. Population doubling time
To examine MSCs Population Doubling Time (PDT), cells at passage 3 were seeded at
a density of 5X103 cm2 and PDT calculated by using an
algorithm available online (http://doubling-time.com) [36].
5. Adipogenic, chondrogenic and osteogenic differentiation
To assess adipogenic, chondrogenic and osteogenic differentiation, cells were
cultured in basal medium until 70–80% confluence and then changed to every
induction medium and stained [35, 37].
Images were obtained with microscope NIKON ECLIPSE Ti-s.
6. Neural induction
The induction protocol was adapted from [38-40]. Briefly, MSCs neural specification
(step 1) was induced by culturing cells in α MEM supplemented with: 0,25X B27,
1X N2, 20 ng/mL EGF and 20 ng/mL FGF basic for 5 days. At the end of the neural
specification treatment, MSCs were washed with PBS, and then neuronal commitment
(step 2) was induced by exposing the cells to α MEM supplemented with 0,25X B27,
100 ng/mL Sonic HedgeHog, 2,5 μM Retinoic Acid and 1 mM AMPc during the next 10
days. Finally, we induced neuronal differentiation (step 3) adding 30 ng/mL BDNF
during the final 3 days. One non-induced culture dish was also analyzed in every
experiment as negative control. Neural Stem Cells (NSC) from StemPro were used
as positive control and differentiated as indicated by the supplier. The cells
were monitored continually after neuronal induction. The area in pixels were
measured by ImageJ with “measure” function, and neurite quantification with
NeuronJ pluggin.
To detect gene expression indicative of MSCs neural differentiation, mRNA was
harvested using trizol (Life Technologies). cDNA was synthesized from the
extracted mRNA using the Verso cDNA Kit (Thermo Scientific). RT-PCR analysis was
then performed with Brilliant III SYBR GREEN Q-PCR (Agilent), with primers
(S1
Table) for NESTIN neurofilaments NEFM and NEFL, NURR1, S100B, SAP90
and NT3. The housekeeping gene used was GAPDH. The following amplification
parameters were utilized for the q RT-PCR: 10 minutes at 95°C, 40 cycles of 30 s
at 95°C, 30 s at 55°C and 30 s at 72°C, followed by one cycle of 10 s at 95°C, 5
s at 25°C, 1 s at 70°C and 1 s at 95°C. Results were analyzed using the
2-ΔCt method relative gene expression to GAPDH.
8. Immunocytochemistry
MSCs were assayed as described preciously [41]. Nuclei were counterstained with DAPI.
The primary and secondary antibodies used are shown in S2 Table.
The conditions were maintained in negative controls. The dishes were examined
under a fluorescence microscope (NIKON ECLIPSE Ti-s). ImageJ software (National
Institute of Health) was used to pseudo-color images, adjust contrast, and add
scale bars.
9. Synaptic vesicle accumulations
To visualize synaptic vesicle accumulations, after 18 days of neural induction,
MSCs from all sources were loaded with 4 μM styryl dye SynaptoRed C2
{4-[6-[4-(Diethylamino) phenyl]-1,3,5-hexatrien-1-yl]-1-[3-(triethylammonio)
propyl] pyridinium dibromide, FM 4–64 molecular probes, Tocris Bioscience} in
depolarizing extracellular solution (80 μM) during 120 seconds. After loading,
cells were washed witch HBSS 1X during 5 min. Cells were imaged immediately
under fluorescence microscope NIKON ECLIPSE Ti-s.
10. Statistical analysis
All results are based on at least three independent experiments and are expressed
as mean ± SEM or SD for three MSCs donors in each group. Statistical
significance for PDT and CTCF analysis was determined using t-student test. In
RT-PCR analysis of relative expression and area and neurite outgrowth
measurements one-way ANOVA was used, followed by a Bonferroni multiple
comparison test using Prism5 software (GraphPad, La Jolla, CA).
Results
1. Characterization of MSCs Isolated from different tissues
a) Morphology
Once in culture, MSCs from all sources were relatively homogeneous in
morphology with a characteristic fibroblastic-like morphology when attached
to culture plastic dishes (S1 Fig)
b) Immunophenotype
MSCs were tested for analysis of expression of different markers by flow
cytometry. Results (S2 Fig) indicate that cells from all
tissue sources were negative for hematopoietic marker (CD34), leucocitic
markers (CD11b, CD19 and CD45), and HLA-DR (Human Leukocyte Antigen). In
turn, were positive for specific MSCs markers (CD73, CD105) and cell
adhesion markers (CD29, CD90). In all different donors and tissue origin,
the above phenotype was consistent, thus confirming the MSCs phenotype
previously described [42-45].
c) Adipogenic, chondrogenic and osteogenic differentiation
MSCs isolated from AT, BM, Skin and UC were capable to differentiate into
adipogenic (S3 Fig), chondrogenic (S4 Fig) and osteogenic (S5 Fig)
lineages which is consistent with the minimal characterization criteria of
MSCs [42].
d) Proliferation
As shown in the growth curve in Fig 1A, MSCs from all sources, after undergoing an adaptation
period to culture conditions during the first 4 days, enter to a logarithmic
phase, and later on day 8, exhibit contact inhibition and reach the plateau
phase. The Population Doubling Time (PDT) calculated at day 6 (Fig 1B) showed that UC-MSC
had reaches a larger population in less time (±72.77 hours), which means
that has greater proliferation capacity, followed by AT-MSC (±78.37 hours)
and SD-MSC (±82.11 hours) which did not show significant differences.
Moreover, BM-MSC show the lowest PDT (±150.52 hours) which was statistically
significant.
Fig 1
Proliferation of MSCs from different sources.
Proliferation capability of AT-MSC, BM-MSC, SD-MSC and UC-MSC.
A) Growth curve and B) Population
doubling time. ns P> 0.05, * P <0.05, ** P <0.01, *** P
<0.001.
Proliferation of MSCs from different sources.
Proliferation capability of AT-MSC, BM-MSC, SD-MSC and UC-MSC.
A) Growth curve and B) Population
doubling time. ns P> 0.05, * P <0.05, ** P <0.01, *** P
<0.001.
2. Assessment of mesenchymal stem cell neurogenic potential
Human MSCs previously characterized from the all sources were subjected to
neuronal induction medium during 18 days. To investigate whether AT-MSC, BM-MSC,
SD-MSC and UC-MSC exhibited neurogenic differentiation capabilities, we compared
morphology changes and expression of neural markers at mRNA and protein levels
during neural induction.
2a) Morphologic change after neural induction
To assess MSCs neurogenical potential, we analyzed the morphological change
in neural induced MSCs. Following 18 days in neural induction medium [39], MSCs from
different sources (AT, BM, Skin, UC) changed their morphology from flat,
spindle-shaped cells to neural-like cells which included retraction of the
cytoplasm towards the nucleus and several cytoplasmic extentions, similar to
those exhibited by positive control neural stem cells (Fig 2A–2E). This change is more
distinguishable in SD-MSC and AT-MSC (Fig 2A and 2E), which also reduced their
sized, confirmed by the quantification of area (Fig 2K) and number of visible neurite
outgrowth (Fig 2L).
Fig 2
Changes in MSC morphology.
Changes in MSC morphology after 18 days of neural differentiation:
(A, B) AT-MSC, (C, D) BM-MSC,
(E, F) SD-MSC, (G, H) UC-MSC,
(I, J) Positive control (NSC). Scale bar 100 μm.
Induced MSC (A, C, E, G) adopt neural-like morphology
as well as cytoplasm retraction towards the nucleus, which is more
notorious in A y E compared to negative controls (B, D, F,
H) and were quantified in (K) Area (pixels)
and (L) Number of cells with visible neurite outgrowth.
Data represents means ± SEM of 3 separate experiments. ns P>
0.05, * P <0.05, ** P <0.01, *** P <0.001.
Changes in MSC morphology.
Changes in MSC morphology after 18 days of neural differentiation:
(A, B) AT-MSC, (C, D) BM-MSC,
(E, F) SD-MSC, (G, H) UC-MSC,
(I, J) Positive control (NSC). Scale bar 100 μm.
Induced MSC (A, C, E, G) adopt neural-like morphology
as well as cytoplasm retraction towards the nucleus, which is more
notorious in A y E compared to negative controls (B, D, F,
H) and were quantified in (K) Area (pixels)
and (L) Number of cells with visible neurite outgrowth.
Data represents means ± SEM of 3 separate experiments. ns P>
0.05, * P <0.05, ** P <0.01, *** P <0.001.
2b) Expression of neural markers
Our results of immunofluoresence analysis confirmed the expression of nestin
at day 5 of neural induction (Fig 3A–3D). Since nestin is a progenitor marker, its expression
was analyzed at early stages of neural induction (day 5) and compared with
at a later stage (day 18, Fig
3E) by RT-PCR. Our results showed that nestin expression at day 5
was higher as compared with expression at day 18 (Fig 3E). Further, nestin expression was
considerably higher in AT-MSC as compared to BM-MSC, SD-MSC and UC-MSC.
Fig 3
Nestin expression in induced MSC.
Nestin relative expression in AT-MSC, BM-MSC, SD-MSC and UC-MSC after
neural induction. (A, B, C, D) Immunocytochemistry
analysis of nestin at day 5 of neural induction; (A)
AT-MSC, (B) BM-MSC, (C) SD-MSC,
(D) UC-MSC. Nestin marker expression (green) and
nuclei (Blue), scale bar 100 μm. E) Time dependent
expression of nestin assessed by RT-PCR. Data is
presented as an average of three independent patient samples and
error bars represent mean ± SEM, ns P> 0.05, * P <0.05, ** P
<0.01, *** P <0.001.
Nestin expression in induced MSC.
Nestin relative expression in AT-MSC, BM-MSC, SD-MSC and UC-MSC after
neural induction. (A, B, C, D) Immunocytochemistry
analysis of nestin at day 5 of neural induction; (A)
AT-MSC, (B) BM-MSC, (C) SD-MSC,
(D) UC-MSC. Nestin marker expression (green) and
nuclei (Blue), scale bar 100 μm. E) Time dependent
expression of nestin assessed by RT-PCR. Data is
presented as an average of three independent patient samples and
error bars represent mean ± SEM, ns P> 0.05, * P <0.05, ** P
<0.01, *** P <0.001.MSC from all sources express βIII tubulin, as measured by immunocytochemistry
(Fig 4A–4L), as well
as the dopaminergic marker tyrosine hidroxilase, estructural marker βIII
tubulin and synaptic marker synapthophysin, at 18 day of neural induction.
At day 18 of neural induction the expression of neurofilament genes
NEFL and NEFM was higher in AT-MSC and
SD-MSC, respectively, compared to that of BM-MSC and UC-MSC. Moreover,
AT-MSC showed highly superior gene expression of the dopaminergic neuron
marker NURR1, astrocyte marker S100B and neurotrophic factor NT-3, which was
statistically significant (Fig
4M).
Fig 4
Expression of neural lineage related markers after neural
induction.
Relative expression of related markers after neural induction in MSC
from different sources. (A-L) Immunocytochemistry
analysis of induced MSC: (A-C) AT-MSC,
(D-F) BM-MSC, (G-I) S-MSC,
(J-L) UC-MSC, showing protein expression of neural
specific markers: βIII tubulin (red), tyrosine hydroxylase (green)
and synaptophysin (red). Scale bar 100 μm. M)
Comparative analysis of mRNA expression levels of neural markers,
NEFM, NEFL, Nurr1, Sap90, S100b and NT-3. Relative gene expression
of each gene were normalized to the expression of the housekeeping
gene GAPDH. Data represents means ± SEM of 3 separate experiments.
ns P> 0.05, * P <0.05, ** P <0.01, *** P <0.001.
Expression of neural lineage related markers after neural
induction.
Relative expression of related markers after neural induction in MSC
from different sources. (A-L) Immunocytochemistry
analysis of induced MSC: (A-C) AT-MSC,
(D-F) BM-MSC, (G-I) S-MSC,
(J-L) UC-MSC, showing protein expression of neural
specific markers: βIII tubulin (red), tyrosine hydroxylase (green)
and synaptophysin (red). Scale bar 100 μm. M)
Comparative analysis of mRNA expression levels of neural markers,
NEFM, NEFL, Nurr1, Sap90, S100b and NT-3. Relative gene expression
of each gene were normalized to the expression of the housekeeping
gene GAPDH. Data represents means ± SEM of 3 separate experiments.
ns P> 0.05, * P <0.05, ** P <0.01, *** P <0.001.We additionally detected the labeling of FM 4–64 (synaptored C2) that becomes
fluorescent when incorporated into plasma membrane, used to follow up
synaptic activity in induced MSC from all studied sources (Fig 5) and quantified,
showing that AT-MSC has higher fluorescence intensity against BM, Skin and
UC (Fig 5E).
Fig 5
Synaptic vesicle staining after 18 days of neural
differentiation.
FM 4–64 dye was positive in neural-induced MSC. (A) AT-MSC, (B)
BM-MSC, (C) SD-MSC, (D) UC-MSC. Nestin marker expression (green) and
nuclei (Blue), Scale bar 100 μm. (E) Corrected Total Cell
Fluorescence (CTCF), Data represents means ± SEM of 3 separate
experiments. ns P> 0.05, * P <0.05, ** P <0.01, *** P
<0.001.
Synaptic vesicle staining after 18 days of neural
differentiation.
FM 4–64 dye was positive in neural-induced MSC. (A) AT-MSC, (B)
BM-MSC, (C) SD-MSC, (D) UC-MSC. Nestin marker expression (green) and
nuclei (Blue), Scale bar 100 μm. (E) Corrected Total Cell
Fluorescence (CTCF), Data represents means ± SEM of 3 separate
experiments. ns P> 0.05, * P <0.05, ** P <0.01, *** P
<0.001.
Discussion
The objective of this study was to provide a comparison of the capability of MSCs
isolated from several human tissues, to differentiate under in
vitro conditions to neuron-like cells, evidenced by morphological
changes and by the expression of neural markers.It is well known that several donor characteristics such as age, gender, underlying
medical conditions and/or use of concomintant drugs, affect the functional
properties of MSCs [46-49]. Therefore, to minimize the
putative effect of the above mentioned factors on MSCs neural differentiation
capacity, in this study, human tissues were solely obtained from healthy donors of
similar age (Table 1).The results reported here suggest that MSCs isolated from adipose tissue, bone
marrow, skin and umbilical cord tissue share common cell surface epitopes as well as
an ability to undergo multilineage mesenchymal differentiation (S2–S5 Figs).
Proliferative of MSCS isolated and ex vivo expanded from
different tissue sources
The proliferative capacity of AT-MSC and UC-MSC (Fig 1), was higher than SD-MSC and BM-MSC.
These differences suggest a cell culture heterogenicity, including a variable
proportion of self renewing cells, versus lineage-commited cells in different
tissue source stromal cell compartment [50,51]. These results could be significant in
the election of a tissue source of MSCs, intended to be used in cell-based
therapies, which need a viable and ample number of cells to be procured in less
time in order to achieve a successful clinical outcome [52].
Assessment of the capacity of MSCs from diverse sources to differentiato into
neural-like cells
Results of neural induction of MSCs obtained from different human tissue-sources,
indicated that after 18 days of exposure to a neural induction medium, MSCs
morphology changed from a spindled to a neuron-like shape (Fig 2). Beyond these morphologycal changes,
indicative of MSCs neural differentiation, we also studied the onset of a
meaningful group of neural markers, including nestin,
nefm, nefl, sap90,
nurr1, s100b, nt3, βIII
tubulin, tyrosine hydroxylase and synaptophisin (Figs 3 and 4).The neural induction medium applied during differentiation comprises the use of
substances that induce the molecular expression pattern that occurs during adult
neurogenesis of neur al stem cells, where neuronal differentiation and
maturation occur in three steps: -neural undifferentiated progenitors, -immature
neurons expressing early neuronal genes and finally, mature neurons expressing
late neuronal genes [53,
54].To asses this process, we first analyzed nestin expression by MSC, neural stem
cell marker that can be considered as a primary evidence of the capability of
these cells to generate neural progenitors [55]. The above in turn is sustained by the
observed time-dependent expression of nestin at day 5, which
descreased after 18 days of induction (Fig 3A and 3B).To evaluate whether MSCs also express a potential to generate immature neurons,
we confirmed the expression of βIII tubulin (Fig 4A, 4D, 4G and 4J), an indicator of
neural commitmnent [56].
Finally, when cells receive BDNF neurogenic stimulation, they differentiated and
acquired the mature phenotype expressing NEFL and NEFM (Fig 4M) which are asossiated with neural
maturation [57, 58].
Assesstment of synapse, astrocytes, dopaminergic and neurotrophic
markers
In order to demonstrate the protein expression related to synapse formation, we
investigated whether AT-MSC, BM-MSC, SD-MSC and UC-MSC were capable of
expressing the pre-synaptic protein synaptophysin (Fig 4C, 4F, 4I and 4L), and the post-synaptic
protein SAP 90 (PSD95) (Fig
4M). We demostrated that MSCs from all different sources express
synaptophysin as evidence of synapsis [59, 60], however AT-MSC showed the highest
expression of sap90, suggesting that the latter cell type would
be the most likely to form a synaptic structure. This results are confirmed in
Fig 5A–5E, where AT-MSC
show the highest CTCF (Corrected total cell fluorescence) which could probably
indicate the presence of functional presynaptic terminals [61].Results related to the expression of s100b, an astrocyte marker,
showed that MSCs are capable of differentiating not only into neurons but also
into astrocytes. As previously described, adult NSC are specialized astrocytes
in others parts of the brain [62]. Astrocytes has the potential to promote neurogenesis in the
adult hippocampus [63].
All this considered, and in agreement with our results, we suggest that AT-MSC
has higher potential to form astrocytes (Fig 4M).Moreover, we explored if MSCs were capable to express dopaminergic neuron markers
in vitro, to considere it as a supplying cell source for
the treatment of neurodegenerative conditions like Parkinson disease, in that
regard, expression of nurr1 and tyrosine hydroxylase were
analyzed. Accordingly, MSCs from all different sources were capable of
expressing both markers, suggesting a committed neuronal phenotype [64].Additionally, we evaluate neurotrophic potential quantifying the expression of
neurotrophin 3 (NT-3) at mRNA level. The
above is important since growth-factors-mediate the activation and/or
mobilization of endogenous stem cells as well as the reparative action of MSCs
[24, 65]. Results show that
AT-MSC had the highest expression of NT-3, suggesting that this cell type could
exert a better neurotrophic effect in vitro (Fig 4M), however, measurement
of neurotrophic secretion is still need it to define the role of NT3 in
differentiation and trophic effects of neural-induced MSCs.The above differences in neural marker expression between induced-MSCs could be
explained by observing aspects that might affect the neural differentiation
potential; these include signalling pathways and transcription factors involved
in neuronal fate: the same pathways involved in NSC-neurogenesis are involved in
the regulation of MSC chondrogenesis or osteoblastic differentiation [66-68] which could generate different
population of differentiated cells. Besides, it has been demostrated that naïve
MSCs already express neural-linked markers [69-70], which could indicate the presence of
an heterogeneous population of cells and it is possible that the neural
differentiation of MSC in vitro are due to the contribution of
some neural-committed progenitors already present in the culture rather than the
neural differentiation of the whole population [71]. Additionally we have to consider the
evidence that showing the expression of proteins typical of nervous tissue in
stromal cells, such as cathecolamines [72] neurotrophic factor receptors [73] and/or synaptic
proteins [74] which could
also generate a different neural marker expression pattern.In summary, the results of this study indicate that after in
vitro neural induction, MSCs from all analized tissue sources,
slightly differ in morphology, phenotipic characteristics and in their potential
to differentiate into neuron-like cells. However, AT-MSC proliferate
significantly faster, generated neuron-like cells expressing higher levels of
neural markers (Figs 1 to
5). Moreover, previous
studies [31, 75] have shown that AT-MSC
exhibited an eletrophysiologycal response after neural induction, characteristic
of mature-functional neurons and fundamental for signal transmission in the
nervous system. Additionaly, adipose tissue is one of the most advantageous
sources of MSCs, due to their accessibility and easy of isolation. Finally, AT-
MSCs have biological advantages in their proliferative capacity, pattern of
secreted proteins (basic fibroblast growth factor, interferon-γ, and
insulin-like growth factor-1) and immunomodulatory effects [76], showing as emerging
and attractive option for stem cell using therapies.
Conclusion
In the present report, neural regenerative therapy using MSCs obtained from different
tisssue sources appears as a feasible and a promissing clinical option for the
treatment of neurological affections. From the cell types tested, AT-MSC figure as
the most appealing cell source, due to it ease of access and faster proliferation
rates. Despite our results represent a novelty comparison between attractive sources
of MSCs, there is a need for demostrate a genuine and complete neuronal
differentiation, based on those criteria that define a neuronal cell [77] which is only probable by
functional assays of synaptic transmission, membrane potential and functional action
potential [78]. Also, it is
evident that future studies are needed to further optimize and maximize the quality,
efficacy and safety clinical use of MSCs [79].
Primers utilized in RT-PCR.
Description of primers utilized in the RT PCR analysis, name of the gen,
sequence, melting temperature, product size (bp) and database code.(PDF)Click here for additional data file.
Antibodies utilized in immunocytochemistry.
Description of the antibodies utilized in the study. Including name, provider
and concentration used in the procedure.(PDF)Click here for additional data file.
Fibroblastic-like morphology and adherence to plastic of MSCs from
different tissue sources.
Fibroblastic-like morphology and adherence to plastic evidence of A) AT-MSC,
B) BM–MSC, C) SD-MSC, D) UC-MSC. Scale bar 100 μm.(PDF)Click here for additional data file.
Immunophenotype of MSCs from different tissue sources.
Histograms showing antigen expression in freshly (%): (A) AT-MSC, (B) BM-MSC,
(C) SD-MSC and (D) UC-MSC. From left to right CD19, CD44, CD45, CD90,
HLA-DR, CD29, CD73 CD105, CD73, CD34, CD105, CD11b. Black filled histogram:
antigen expression; solid red line: auto-fluorescence control.(PDF)Click here for additional data file.
Adipogenic differentiation of MSCs from different tissue sources.
Adipogenic differentiation of MSCs from A,B) AT-MSC, B,C) BM–MSC, C,D)
SD-MSC, D,E) UC-MSC. Negative controls (B,C,D,E). All were stained with Oil
Red O. Scale bar 100 μm.(PDF)Click here for additional data file.
Chondrogenic differentiation of MSCs from different tissue
sources.
Adipogenic differentiation of MSCs from A,B) AT-MSC, B,C) BM–MSC, C,D)
SD-MSC, D,E) UC-MSC. Negative controls (B,C,D,E). All were stained with
Safranin O. Scale bar 100 μm.(PDF)Click here for additional data file.
Osteogenic differentiation of MSCs from different tissue sources.
Adipogenic differentiation of MSCs from A,B) AT-MSC, B,C) BM–MSC, C,D)
SD-MSC, D,E) UC-MSC. Negative controls (B,C,D,E). All were stained with
Alizarin Red. Scale bar 100 μm.(PDF)Click here for additional data file.
Authors: Dimitrios Karussis; Clementine Karageorgiou; Adi Vaknin-Dembinsky; Basan Gowda-Kurkalli; John M Gomori; Ibrahim Kassis; Jeff W M Bulte; Panayiota Petrou; Tamir Ben-Hur; Oded Abramsky; Shimon Slavin Journal: Arch Neurol Date: 2010-10
Authors: Wolfgang Wagner; Frederik Wein; Anja Seckinger; Maria Frankhauser; Ute Wirkner; Ulf Krause; Jonathon Blake; Christian Schwager; Volker Eckstein; Wilhelm Ansorge; Anthony D Ho Journal: Exp Hematol Date: 2005-11 Impact factor: 3.084
Authors: Tae Nyoung Chung; Jin Hee Kim; Bo Young Choi; Sung Phil Chung; Sung Won Kwon; Sang Won Suh Journal: Stem Cells Transl Med Date: 2014-12-29 Impact factor: 6.940
Authors: E Labouyrie; P Dubus; A Groppi; F X Mahon; J Ferrer; M Parrens; J Reiffers; A de Mascarel; J P Merlio Journal: Am J Pathol Date: 1999-02 Impact factor: 4.307
Authors: V I Zemel'ko; I B Kozhukharova; L L Alekseenko; A P Domnina; G F Reshetnikova; M V Puzanov; R I Dmitrieva; T M Grinchuk; N N Nikol'skiĭ; S V Anisimov Journal: Tsitologiia Date: 2013
Authors: Liem Nguyen Thanh; Van T Hoang; Huong Le Thu; Phuong Anh Thi Nguyen; Duc M Hoang; Doan Van Ngo; Hung Cao Vu; Van Nguyen Thi Bich; Michael Heke Journal: Cell Transplant Date: 2022 Jan-Dec Impact factor: 4.139