Hiroyuki Ohnishi1, Shinya Mizuno, Yoko Mizuno-Horikawa, Takashi Kato. 1. Department of Biochemistry, Osaka University Graduate School of Medicine, 2–2 Yamadaoka, Suita 565–0871; 2. Kinjo Gakuin University College of Pharmacy, 2-1723 Oomori, Moriyama-ku, Nagoya 463-8521, Japan.
Abstract
Ischemic acute kidney injury (AKI) is the most key pathological event for accelerating progression to chronic kidney disease through vascular endothelial injury or dysfunction. Thus, it is critical to elucidate the molecular mechanism of endothelial protection and regeneration. Emerging evidence indicates that bone marrow-derived cells (BMCs) contribute to tissue reconstitution in several types of organs post-injury, but little is known whether and how BMCs contribute to renal endothelial reconstitution, especially in an early-stage of AKI. Using a mouse model of ischemic AKI, we provide evidence that incorporation of BMCs in vascular components (such as endothelial and smooth muscle cells) becomes evident within four days after renal ischemia and reperfusion, associated with an increase in stromal cell-derived factor-1 (SDF1) in endothelium and that in CXCR4/SDF1-receptor in BMCs. Notably, anti-CXCR4 antibody decreased the numbers of infiltrated BMCs and BMC-derived endothelium-like cells, but not of BMC-derived smooth muscle cell-like cells. These results suggest that reconstitution of renal endothelium post-ischemia partially depends on a paracrine loop of SDF1-CXCR4 between resident endothelium and BMCs. Such a chemokine ligand-receptor system may be attributable for selecting a cellular lineage (s), required for renal vascular protection, repair and homeostasis, even in an earlier phase of AKI.
Ischemicacute kidney injury (AKI) is the most key pathological event for accelerating progression to chronic kidney disease through vascular endothelial injury or dysfunction. Thus, it is critical to elucidate the molecular mechanism of endothelial protection and regeneration. Emerging evidence indicates that bone marrow-derived cells (BMCs) contribute to tissue reconstitution in several types of organs post-injury, but little is known whether and how BMCs contribute to renal endothelial reconstitution, especially in an early-stage of AKI. Using a mouse model of ischemic AKI, we provide evidence that incorporation of BMCs in vascular components (such as endothelial and smooth muscle cells) becomes evident within four days after renal ischemia and reperfusion, associated with an increase in stromal cell-derived factor-1 (SDF1) in endothelium and that in CXCR4/SDF1-receptor in BMCs. Notably, anti-CXCR4 antibody decreased the numbers of infiltrated BMCs and BMC-derived endothelium-like cells, but not of BMC-derived smooth muscle cell-like cells. These results suggest that reconstitution of renal endothelium post-ischemia partially depends on a paracrine loop of SDF1-CXCR4 between resident endothelium and BMCs. Such a chemokine ligand-receptor system may be attributable for selecting a cellular lineage (s), required for renal vascular protection, repair and homeostasis, even in an earlier phase of AKI.
The kidney plays a central role in blood clearance via glomerular filtration and urination
for sustaining systemic homeostasis. Glomerular vascular component is essential for primitive
urination and peri-tubular capillary network for supporting tubular metabolisms (such as
electrolyte exchanges). There is now growing evidence that a decrease in peri-tubular vessels
(i.e., vascular rarefaction) is a common cause for chronic kidney disease
(CKD), regardless of an initial etiology [2].
Especially, under renal ischemia, damage or dysfunction of endothelial cells (ECs) often
triggers a rapid progression of acute kidney injury (AKI) to CKD, associated with advanced
fibrosis [2, 3].
Thus, it is important to elucidate the molecular mechanism of renal vascular protection or
repair against ischemic challenges.During recovery from AKI, proliferation of tubular epithelial cells is a major event for
restoring structural continuity with function [17,
19]. In the early 2000s, several lines of studies
demonstrated the involvement of bone marrow-derived cells (BMCs) in injured kidneys [13, 22]. Y-chromosome-positive BMCs were detected in renal tubules (and in
part, in vessels) of a female recipient who underwent bone marrow transplantation from a male
donor [22]. Similar results are also obtained in
adriamycin-treated nephroticmice: BMC-derived ECs were seen near the tubules at an advanced
stage of CKD (i.e., 4 weeks post-challenge) [15]. However, such a chronic model is not advantageous for identifying an initial
mechanism of vascular remodeling, due to the secondary complicated events, such as
inflammation, hence raising a demand of an “acute” model.Warm ischemia and reperfusion (I/R) elicits typical patterns of AKI, such as tubular and
endothelial damages [2, 3]. Indeed, apoptotic changes in peri-tubular ECs become evident in mice 24 hr
post-renal I/R, followed by neutrophil extravasation and tubular injuries [18]. However, it is still unclear whether BMCs participate
in renal vascular remodeling (including EC-like phenotype) in the earlier phase of AKI.
Stromal cell-derived factors-1 (SDF1) is induced by hypoxic stresses and contributes to
BMC-based tissue remodeling [5]. For example, tumor
angiogenesis is mediated via SDF1-dependent recruitment of BMCs [1]. SDF1 is also critical for regenerative events of injured organs,
especially for BMC-mediated angiogenesis [23, 31].Using an AKI mouse model, we provide herein evidence that engraftment of BMCs by peri-tubular
vessels is detectable at latest from 2 days post-renal I/R in an SDF1-dependent manner. We
will discuss the roles of hypoxia in BMC-involved endothelial reconstruction at the initial
phase of ischemic AKI, a key cause of acute-on-CKD progression.
MATERIALS AND METHODS
Bone marrow transplantation and AKI induction in mice: The C57Bl/6 strain
of green fluorescent protein (GFP) transgenic male mice was used as the donor for bone
marrow implantation. Wild-type female mice were used as the recipients. The wild-type mice
were irradiated at a dose of 10 Gy using an X-ray generator. Soon after the X-irradiation,
the wild-type female mice received an intravenous injection of 1 × 106 bone
marrow cells from male GFP-transgenic mice. After reconstitution of bone marrow for 5 weeks,
the recipient mice were subjected to renal I/R: both renal arteries were clamped for 40 min
at 38°C to induce AKI under general anesthesia. The mice were sacrificed at 0, 2, 4, 6 and 8
days post-challenge to characterize the natural course of AKI. To evaluate the renal
hypoxia, some mice were treated with pimonidazole (Chemicon, Temecula, CA, U.S.A.)
(60 mg/kg, i.p.) at 1 hr before the autopsy, as reported [19].Blood chemistry: To confirm the successful induction of AKI in mice, blood
ureanitrogen (BUN) levels were measured with a commercial kit (Ureanitrogen-B
test®, Wako, Osaka, Japan), as reported [18].Neutralization of SDF1 in AKI-manifested mice: To neutralize SDF1
signaling during the progression of AKI, an anti-CXCR4rabbitIgG (eBioscience, San Diego,
CA, U.S.A.) was administered, as reported [25].
Briefly, 8 mice were subjected to the renal I/R and randomly divided into 2groups: 4 mice
were injected with the anti-CXCR4IgG (100 µg/48 hr, i.p.), and the
remaining 4 mice were treated with normal IgG (100 µg/48 hr, i.p.). All
mice were sacrificed at 4 days post-challenge, and the renal tissues were analyzed, as
described below.Immunohistochemistry: The renal tissues of mice were fixed with 10%
formaldehyde in phosphate buffered saline (PBS), dehydrated through a graded series of
ethanol and then embedded in paraffin. The tissues were cut at 4 µm,
dewaxed and subjected to the following procedures. The hypoxic changes were detected on
tissue sections, using an anti-pimonidazolemouseIgG (Chemicon) as the primary antibody,
followed by the second reaction with biotin-labeled anti-mouseIgG (Vector, Burlingame, CA,
U.S.A.). An avidin-biotin coupling reaction was performed on the sections, using a kit
(ABC-HRP Elite®, Vector). The hypoxic antigen was visualized as brown, with
3,3′-diaminobenzidine (Nacalai, Kyoto, Japan).Immunofluorescence staining: The renal tissues were fixed in 4%
paraformaldehyde at 4°C for overnight, subsequently cryoprotected in 10% and 20% sucrose in
PBS and embedded in Tissue-Tek O.C.T. compound (Sakura Finetek, Tokyo, Japan) for the
following antigen immunostaining. The cryosection was cut at 5 µm in a
cryostat, washed with PBS and then incubated with the primary antibodies, such as anti-c-KitratIgG (eBiosciences), anti-CD31ratIgG (i.e., EC marker) (BD
Biosciences, San Jose, CA, U.S.A.), anti-Na+-K+-ATPase rabbitIgG
(i.e., renal tubular epithelium marker [19]) (LSL, Tokyo, Japan) and anti-α-smooth muscle actin (α-SMA) mouseIgG
(i.e., SMC marker) (Dako Japan, Kyoto, Japan), followed by fluorescence
staining with Alexa546-conjugated secondary antibodies (Invitrogen, Carlsbad, CA, U.S.A.).
The nuclei were also detected with TOPRO-3 (Invitrogen). The GFP fluorescence signals were
observed under a confocal microscope LSM-PASCAL (Carl Zeiss, Thornwood, NY, U.S.A.).Morphometric scores: The renal tubular injury index was determined,
according to the previous method [19]. Photographed
images were analyzed using image analysis software (WinRoof®, Mitani, Fukui,
Japan) to determine the extent of hypoxic areas in the outer medulla (OM). The appearance of
c-Kit-positive and GFP-positive cells at the OM area was semi-quantified by counting
positive cells in more than 15 randomly chosen non-overlapping high-power fields (×400
magnification). The ratio of CD31-positive cells, or that of α-SMA-positive cells, to total
GFP-positive cells were determined in >15 fields (×400). The overall means of these
parameters in each group were calculated based on individual values.Enzyme-linked immunosorbent assay (ELISA): The renal homogenate was
centrifuged at 15,000 rpm for 30 min, and the supernatant was used as tissue extract [18]. SDF1 levels in the renal extract were determined
using an ELISA kit (R&D, Minneapolis, MN, U.S.A.).Real-time polymerase chain reaction (PCR): Total RNA was prepared from
kidneys, using ISOGEN (Nippon Gene, Tokyo, Japan). One microgram of total RNA was
reverse-transcribed into first strand cDNA with a random hexaprimer using Superscript II
reverse transcriptase (Life technologies Inc., Rockville, MD, U.S.A.). Quantitative PCR was
performed to detect SDF1 mRNA, using an ABI PRISM 7,700 system (Perkin-Elmer Biosystems,
Foster City, CA, U.S.A.), according to the manufacturer’s instruction (catalogue no.
Mm00445552-m1).Statistical analysis: All data were expressed as mean ± S.D. A Student’s
t-test, ANOVA analysis or Mann Whitney U-test was used to compare the
group means, and a value of P<0.05 was considered to be significant.
RESULTS
Renal hypoxia-associated engraftment of BMCs in the ischemic kidneys: We
first examined the change in BUN levels post-renal I/R to estimate the degree of renal
dysfunction. The BUN level reached a peak at 2 days post-renal I/R challenge (Fig. 1A). The increase of tubular injury index correlated with that of the BUN levels (Fig. 1A), thus indicating the successful onset of
ischemic AKI. Local hypoxia is one of the most key events to trigger engraftment of BMCs in
injured tissues [5, 31]. Thus, we next examined the degree of hypoxia, based on the accumulation of
pimonidazole. Although there is no hypoxic area in the intact kidney, hypoxic areas became
evident, especially in the renal OM from 2 days post-release of warm ischemia (40 min)
(Fig. 1B), suggesting renal vascular
dysfunction, as reported [2, 18]. Indeed, the ratio of pimonidazole-positive area to total area varied
from approx. 50% to 20% between 2 and 6 days post-renal I/R challenge. As a result, BMCs
(i.e., c-Kit-positive and GFP-positive cells) were detected, especially
in the OM area post-I/R challenge (2 days: 4.47 ± 1.10; 4 days: 3.81 ± 0.75) (Fig. 1C), supporting previous reports to show the
involvement of BMC engraftment during experimental AKI in rodents [10, 25].
Fig. 1.
Expansion of tissue hypoxia and recruitment of BMCs in the course of AKI. (A) Time
course of BUN levels (filled bars, left y-axis) and tubular injury index (as assessed
in renal sections [19], open bars, right
y-axis) in mice post-renal I/R. (B) Tissue hypoxia was detected by immunostaining of
pimonidazole, a marker of tissue hypoxia. Graph shows ratios of pimonidazole-positive
areas to total areas in renal OM region (×200). (C) Bone marrow-derived
stem/progenitor cells were detected by double-staining of c-Kit and GFP in renal
sections, and the numbers of double positive cells in OM region (×400) were counted.
Data are shown as mean ± SD.
Expansion of tissue hypoxia and recruitment of BMCs in the course of AKI. (A) Time
course of BUN levels (filled bars, left y-axis) and tubular injury index (as assessed
in renal sections [19], open bars, right
y-axis) in mice post-renal I/R. (B) Tissue hypoxia was detected by immunostaining of
pimonidazole, a marker of tissue hypoxia. Graph shows ratios of pimonidazole-positive
areas to total areas in renal OM region (×200). (C) Bone marrow-derived
stem/progenitor cells were detected by double-staining of c-Kit and GFP in renal
sections, and the numbers of double positive cells in OM region (×400) were counted.
Data are shown as mean ± SD.Differentiation of BMCs to vascular ECs and SMCs in the hypoxic kidneys:
Growing evidence indicated the potential of BMCs to differentiate to tubular epithelial
cells during AKI [10, 19, 22]. However, little information is
available whether infiltrated BMCs are incorporated into renal vessels, under AKI-associated
pathological conditions. In our model, CD31-positive signals were detected in the
GFP-positive cells around peri-tubular (but not glomerular) areas, especially from 2 days
post-ischemia, hence suggesting the acquisition of EC-like phenotype by BMCs
(i.e., in situ trans-differentiation) (Fig. 2A), as seen in a mouse model of CKD [15].
Likewise, some of BMCs acquired the SMC-like phenotypes, as evidenced by α-SMA between 2 and
8 days post-renal I/R challenge (Fig. 2B). The
number of α-SMA-positive cells is 17-fold higher than that of CD31-positive cells, while
myofibroblasts are also known to be positive for α-SMA [4, 30]. Importantly, BMC-derived
myofibroblasts participate in renal remodeling, even during ischemic AKI [4, 30], possibly
for collagen deposition. Taken together, we cannot exclude a possibility that the
α-SMA-positive BMCs include interstitial myofibroblasts, as discussed later.
Fig. 2.
Engraftment of BMCs with EC or SMC marker in the hypoxic kidneys. Tissues were
stained with CD31 (red, in A) or α-SMA (red, in B) and GFP (green), and the
percentages of marker-positive cells in BMCs (arrows) were shown. Data are shown as
mean ± SD.
Engraftment of BMCs with EC or SMC marker in the hypoxic kidneys. Tissues were
stained with CD31 (red, in A) or α-SMA (red, in B) and GFP (green), and the
percentages of marker-positive cells in BMCs (arrows) were shown. Data are shown as
mean ± SD.Hypoxia-associated up-regulation of SDF1 in ECs and of CXCR4 in BMCs:
Growing evidence suggests that SDF1 is a key chemokine to elicit engraftment of BMCs into
hypoxic organs or tissues [5, 31]. In our model, mRNA and protein levels of SDF1 dramatically raised 2
days post-challenge and then returned near the basal levels at 6 days post-renal I/R (Fig. 3A). Consistent with these biochemical data, SDF1 was not seen in intact kidney, but
detected in the OM areas 2 days after renal I/R (Fig.
3B). SDF-1 signal was detected in CD31-positive cells or in
Na+-K+-ATPase-positive cells, indicating that renal ECs and tubular
epithelial cells can be a source of SDF1 production (Fig.
3C). On the other hand, some GFP-positive cells (i.e., bone marrow
origin) displayed CXCR4 (Fig. 3D), a functional
receptor of SDF1. Thus, we hypothesized that hypoxic kidney-derived SDF1 is responsible for
mobilization of BMCs from bone marrow to hypoxic kidneys (i.e., endocrine
pathway through targeting of CXCR4 on BMCs).
Fig. 3.
Up-regulation of SDF1 and appearance of BMCs expressing CXCR4 during AKI. (A)
Expressions of SDF1 mRNA (left) and protein (right) in the ischemic kidney were
measured by real-time PCR and ELISA, respectively. (B) Localization of SDF1 expression
(red) was detected by immunohistochemistry. (C) Double immunostaining of SDF1 (red)
and CD31 (upper panel, green) or Na+-K+-ATPase (lower panel,
green) in the kidney after renal I/R. (D) BMCs (green) positive for CXCR4
immunostaining (red) were detected in the kidney after renal I/R (arrows). Data are
shown as mean ± SD.
Up-regulation of SDF1 and appearance of BMCs expressing CXCR4 during AKI. (A)
Expressions of SDF1 mRNA (left) and protein (right) in the ischemic kidney were
measured by real-time PCR and ELISA, respectively. (B) Localization of SDF1 expression
(red) was detected by immunohistochemistry. (C) Double immunostaining of SDF1 (red)
and CD31 (upper panel, green) or Na+-K+-ATPase (lower panel,
green) in the kidney after renal I/R. (D) BMCs (green) positive for CXCR4
immunostaining (red) were detected in the kidney after renal I/R (arrows). Data are
shown as mean ± SD.Critical roles of SDF1-CXCR4 axis for BMCs to convert ECs during renal
hypoxia: To test this hypothesis, mice were treated twice with an antibody to
disrupt SDF1-CXCR4 signaling (Fig. 4A). The anti-CXCR4IgG injection decreased the number of c-Kit-positive BMCs (4.49 ±
1.15 vs. 2.27 ± 0.90, P<0.05). Consistent with the suppressed BMC
engraftment, anti-CXCR4IgG decreased the number of BMC-derived ECs (i.e.,
CD31-positive and GFP-positive cells) to 48% of normal IgG-treated mice (Fig. 4B). In contrast, this antibody did not modify
the number of BMC-derived SMC-like cells (i.e., α-SMA-positive and
GFP-positive cells) (Fig. 4C). Concomitant with
the decreased number of CD31-positive and GFP-positive cells, renal hypoxia was slightly
accelerated by the anti-CXCR4IgG treatment (Fig.
4D). However, there was no significant difference in BUN levels (not
shown), suggesting that the aggravation of renal hypoxia by this antibody was mild, failing
to the acceleration of renal dysfunction. Overall, kidney-produced SDF1 was shown critical
for the BMC recruitment (and possible differentiation) to ECs, rather than SMCs, as
discussed later.
Fig. 4.
Blocking CXCR4 during AKI decreased engraftment of BM-derived ECs. (A) An
experimental protocol of CXCR4 neutralization after renal I/R. (B) Inhibitory effect
of CXCR4 blocking on CD31-positive BMC engraftment. Tissues were stained with CD31
(red) and GFP (green), and the percentages of double positive cells (arrows) were
measured. (C) Effect of CXCR4 neutralization on the differentiation of BMCs into
SMC-like cells. The percentages of cells double positive for α-SMA and GFP were shown.
(D) Effect of CXCR4 neutralization on the improvement in renal tissue hypoxia. Hypoxic
areas in OM region were measured by pimonidazole staining, and ratios of
pimonidazole-positive areas to total areas (×200) are shown. Data are shown as mean ±
SD. **P<0.05 vs. normal IgG group. N.S., not significant.
Blocking CXCR4 during AKI decreased engraftment of BM-derived ECs. (A) An
experimental protocol of CXCR4 neutralization after renal I/R. (B) Inhibitory effect
of CXCR4 blocking on CD31-positive BMC engraftment. Tissues were stained with CD31
(red) and GFP (green), and the percentages of double positive cells (arrows) were
measured. (C) Effect of CXCR4 neutralization on the differentiation of BMCs into
SMC-like cells. The percentages of cells double positive for α-SMA and GFP were shown.
(D) Effect of CXCR4 neutralization on the improvement in renal tissue hypoxia. Hypoxic
areas in OM region were measured by pimonidazole staining, and ratios of
pimonidazole-positive areas to total areas (×200) are shown. Data are shown as mean ±
SD. **P<0.05 vs. normal IgG group. N.S., not significant.
DISCUSSION
During AKI, vascular EC injury is an important event to trigger peri-tubular fibrosis,
followed by CKD progression [2, 3]. Actually, preservation of vascular structure by growth factors
inhibits the secondary events post-AKI [14, 18]. Although administration of BMCs improves the
pathological status of AKI in rodents [6, 20], little is known whether endogenous BMCs are
engrafted into renal vessels in an early phase of AKI. We previously reported the early
onset of EC apoptosis within 24 hr post-renal I/R [18]. In the present study, we found that engraftment of CD31-positive BMCs in the
renal vessels became evident within a few days post-challenge. This is, to our knowledge,
the first report to show an early contribution (i.e., 2 days post-I/R) of
BMCs to endothelial remodeling during AKI.In our AKI model, SDF1 up-regulation was noted in vascular ECs (and tubules), while its
receptor, CXCR4, was seen specifically in BMCs. Anti-CXCR4IgG repressed the BMC homing.
Thus, it is likely that surviving ECs release a chemo-attractant SDF1 to move BMCs from
blood to the renal vessels (i.e., paracrine loop). In general, BMCs include
endothelial progenitor cell (EPC) lineages, and SDF1 is required for homing of this lineage
[21]. As a result, CD31-positive EC-like cells were
also reduced by anti-CXCR4IgG, due to the possible reflection of the decreased EPCs, as
reported in skin healing [31]. Thus, we speculate
that SDF1 secreted from EC may confer an initial gate system for selecting an appropriate
lineage (s) (such as EPCs) to sustain endothelial barrier integrity.We further discuss the molecular basis of BMC-involved EC reconstitution, focusing on a
possible cellular event. Emerging evidence delineates a pivotal role of VEGF for BMC-to-EC
differentiation [9]. Actually, VEGF and its receptor,
VEGFR2, are up-regulated in the rodent kidneys post-ischemic AKI [11, 27]. Of note, SDF1 is a potent
inducer of VEGF [32]. Thus, we predict that SDF1 is
critical not only for “vascular BMC accumulation” but also for “EC differentiation” through
up-regulating VEGF in ischemic kidney. The number of GFP-positive ECs increased within 4
days post-ischemia, while VEGF is, as its name indicates, a potent mitogen of ECs. Thus,
VEGF likely contributes to the increase in bone marrow-derived ECs via inducing
differentiation (i.e., primary effect) and promoting subsequent
proliferation (i.e., secondary effect).It is important to note that renal accumulation of α-SMA-positive cells is not modified by
anti-CXCR4IgG, suggesting an alternative pathway (s) other than SDF1. BMCs also include a
small population of SMC progenitor cells [26]. In a
mouse model of atherosclerosis, CX3CR1-positive SMC progenitors contribute to the neointimal
hyperplasia of SMCs, in response to its ligand, fractalkine [12]. In contrast, SDF1-CXCR4 axis is critical in another model [33], raising a controversial issue. Although further
studies are required to determine the role of fractalkine-CX3CR1 in our model, we at least
emphasize that distinct mechanisms (i.e., SDF1-dependent for ECs and
SDF1-independent for SMCs) might participate in BMCs-mediated vascular reconstitution. BMCs
are a new source of myofibroblasts during renal fibrosis [4, 30]. The possible accumulation of
BMC-derived myofibroblasts may be independent on SDF1, as reported [30], and future studies will shed light on this notion.We next discuss the impact of local hypoxia on BMC-based renal reconstitution. Hypoxia
induces SDF1, VEGF and HGF-receptor/c-Met through HIF1-dependent transcriptional pathways
[5]. Hypoxic apoptosis of ECs is responsible for
endothelial dysfunction [18], while SDF1 can protect
ECs from apoptosis [32]. Thus, it is likely that
EC-derived SDF1 attenuates hypoxia-induced death of ECs through an autocrine loop.
Furthermore, BMCs produce nitric oxide, a vasodilator, in VEGF-dependent manners [8]. Indeed, BMC administration increased the renal blood
flow in a pig model of AKI [7], possibly via local
vasodilation. These data may explain the reason why the decrease in renal BMCs by anti-CXCR4IgG leads to tendency of accelerated hypoxia. In other words, hypoxia-induced SDF1 may
confer an adaptive system to attenuate local hypoxia, partly via recruiting nitric
oxide-producing BMCs.We finally discuss the possible dual role of SDF1 in epithelial repair, because SDF1 signal
is required for BMCs to acquire a phenotype of tubular epithelium [19]. Tubular epithelium produces SDF1 in response to hypoxia [16, 28], while HGF
is produced in renal interstitial cells in a model of AKI [19]. Notably, SDF1 and HGF cooperatively stimulate the migration of BMCs across
matrix-based Matri-gel [24], implying critical roles
of SDF1 and HGF for migration of BMCs to injured tubules across basement membrane. HGF
signal is also required for differentiation of stem cells to renal epithelial cells in
kidneys [29]. Thus, we hypothesize that a molecular
switch of SDF1→VEGF and that of SDF1→HGF may be involved in BMC-EC and BMC-epithelial
conversion, respectively. We are now investigating the contribution of growth factors to BMC
differentiations.In summary, we found the engraftment of BMCs in peri-tubular vessels at the latest from 2
days post-AKI challenge. In this process, there was a CXCR4-dependent pathway for BMC-based
engagement of ECs, and possibly, CXCR4-independent cascade for that of SMCs. Such a
chemokine ligand-receptor axis seems to serve as a biological filter to select a cellular
lineage (s), in cooperation with various effects of BMC-secreted cytokines (including
paracrine effects) [16]. The AKI mouse model will be
a tool to elucidate cytokine networks of BMC-mediated tissue remodeling.
Authors: U M Gehling; S Ergün; U Schumacher; C Wagener; K Pantel; M Otte; G Schuch; P Schafhausen; T Mende; N Kilic; K Kluge; B Schäfer; D K Hossfeld; W Fiedler Journal: Blood Date: 2000-05-15 Impact factor: 22.113
Authors: R Poulsom; S J Forbes; K Hodivala-Dilke; E Ryan; S Wyles; S Navaratnarasah; R Jeffery; T Hunt; M Alison; T Cook; C Pusey; N A Wright Journal: J Pathol Date: 2001-09 Impact factor: 7.996
Authors: E L Lagaaij; G F Cramer-Knijnenburg; F J van Kemenade; L A van Es; J A Bruijn; J H van Krieken Journal: Lancet Date: 2001-01-06 Impact factor: 79.321
Authors: John Kanellis; Kathy Paizis; Alison J Cox; Steven A Stacker; Richard E Gilbert; Mark E Cooper; David A Power Journal: Kidney Int Date: 2002-05 Impact factor: 10.612
Authors: Adám Vannay; Andrea Fekete; Csaba Adori; Tibor Tóth; György Losonczy; Lajos László; Barna Vásárhelyi; Tivadar Tulassay; András Szabó Journal: Exp Physiol Date: 2004-05-06 Impact factor: 2.969
Authors: A S Woolf; M Kolatsi-Joannou; P Hardman; E Andermarcher; C Moorby; L G Fine; P S Jat; M D Noble; E Gherardi Journal: J Cell Biol Date: 1995-01 Impact factor: 10.539
Authors: Toma A Yakulov; Abhijeet P Todkar; Krasimir Slanchev; Johannes Wiegel; Alexandra Bona; Martin Groß; Alexander Scholz; Isabell Hess; Anne Wurditsch; Florian Grahammer; Tobias B Huber; Virginie Lecaudey; Tillmann Bork; Jochen Hochrein; Melanie Boerries; Justine Leenders; Pascal de Tullio; François Jouret; Albrecht Kramer-Zucker; Gerd Walz Journal: Nat Commun Date: 2018-09-10 Impact factor: 14.919