Abstract
Background
Considerable efforts have been devoted toward the uncovering of the molecular mechanisms underlying the maintenance of hematopoietic stem cells (HSCs) by the normal bone marrow (BM) niche. Previously, we demonstrated that a chemotherapy-induced niche, which is mainly composed of mesenchymal stem cells (MSCs), protects the residual B-cell acute lymphoblastic leukemia (B-ALL) cells from the insult of chemotherapeutic drugs. However, the roles of chemotherapy-induced niche on HSCs functions in B-ALL remain unclear.
Methods
We established an oncogenic N-MYC-driven B-ALL mouse model, which were subsequently treated with common chemotherapy drug cytarabine (Ara-C) and daunorubicin (DNR). After treatment, the structures of the BM niche were imaged by immunofluorescence staining. Then, the self-renewal and differentiation capability of the MSCs in the BM after Ara-C and DNR treatment were studied by ex vivo culture and gene expression analysis with RNA-seq and qRT-PCR. The effects of chemotherapy-induced niche on the hematopoietic reconstitution of HSCs were determined with series transplantation assay. Furthermore, the cell cycle, ROS level, mitochondrial membrane potential and cell apoptosis of HSCs were detected by flow cytometry.
Results
The MSCs, which is the main component of chemotherapy-induced BM niche, have decreased self-renewal capability and are prone to differentiate into adipocytes and chondrocytes. The results of gene expression analysis with RNA-seq showed that the MSCs have reduced levels of cytokines, including SCF, CXCL12, ANGPT1, VCAM1, and IL7. Furthermore, the chemotherapy-induced niche perturbed the hematopoietic reconstitution of HSCs in our N-MYC-driven B-ALL mouse model by promoting HSCs to enter cell cycle and increasing intracellular ROS levels and mitochondrial membrane potential of HSCs, which lead to the cell apoptosis of HSCs.
Conclusions
Chemotherapy-induced BM niche perturbs the hematopoietic reconstitution of HSCs by increasing intracellular ROS level and inducing cell apoptosis.
Electronic supplementary material
The online version of this article (10.1186/s13046-018-0859-3) contains supplementary material, which is available to authorized users.
Keywords: Acute lymphoblastic leukemia; chemotherapy-induced niche, Hematopoietic reconstitution, Hematopoietic stem cells, Mesenchymal stem cells
Background
Hematopoiesis is a continuous process of orchestrated proliferation, self-renewal, and differentiation of hematopoietic stem cells (HSCs) in the bone marrow (BM) and followed by the egress of mature progeny into the circulating blood [1, 2]. HSCs are the only cells in mammals capable of producing all blood cell lineages throughout life [3]. Chemotherapy may induce hematopoietic deficiency, which is potentially fatal and associated with 20% mortality in patients with acute leukemia or high-grade lymphoma [4, 5]. Up to 30–40% of patients treated with several cycles of chemotherapy failed to mobilize HSCs, and this condition often precludes transplantation and compromises the chance of long-term survival [6, 7].
The BM niche is thought to maintain HSCs stemness while regulating HSCs maturation and differentiation [8, 9]. Although the several genetic studies have provided mechanistic insights into the functions of BM niche cells, mainly MSCs, in the regulation of hematopoiesis during homeostasis [10, 11], the effects of BM niche after stress or injury (such as chemotherapy) on HSCs remains unclear. Chemotherapy exhibits acute cytotoxic effects [12, 13]. In particular, patients that have received several rounds of chemotherapy frequently show irreversible chronic bone marrow damage that often leads to impaired hematopoietic reserve and function [6].
B-cell acute lymphoblastic leukemia (B-ALL) is one of the most common pediatric cancers. Although the treatment of pediatric leukemia has achieved great success owing to the improved regimes of chemotherapy and the five-year overall survival rates of B-ALL exceed 85% in children [14], the chance of relapse and impaired hematopoietic reconstitution after chemotherapy remain major challenges. In our previous study, we demonstrated that a chemotherapy-induced niche shielding residual B-ALL cells can be rebuilt by recruiting BM cells via cytokines secreted from B-ALL cells after chemotherapy [15]. However, whether the chemotherapy-induced niche affects the hematopoietic reconstitution of HSCs in B-ALL is still unknown. Here, we found that chemotherapy-induced niche perturbed the hematopoietic reconstitution in our B-ALL mouse model by dysregulating intracellular ROS levels and inducing cell apoptosis of HSCs. These results rovide a mechanistic explanation for how chemotherapy impairs normal hematopoietic homeostasis, which is important for the consideration of BM transplantation in patients with B-ALL after they undergo chemotherapy.
Methods
Animals and B-ALL mouse model
Adult C57/B6 mice (8–12 weeks old) were obtained from Shanghai SLAC Laboratory Animal Co., Ltd. CD45.1/2 congenic strains were bred in our facilities. All animal experiments were approved and monitored by the Shanghai Children’s Medical Center Animal Care and Use Committee. An N-MYC-driven B-ALL mouse model was constructed according to the methods described in previous studies [16]. In all experiments, mice were euthanized by CO2 asphyxiation. No randomization or blinding was used for the allocation of the experimental groups.
Chemotherapeutic drug treatment
For the assessment of the role of chemotherapy in BM transplantation, mice were injected i.p. with Ara-C (1 g/kg body weight) or DNR (15 mg/kg body weight) up to 2 days before they were euthanized for analysis.
Immunofluorescence imaging
Whole-mount tissues and the frozen sections of long bones were prepared as follows: femoral or tibial bones were perfusion-fixed and then post-fixed for 30 min in 4% paraformaldehyde (PFA), incubated in 20% sucrose for cryoprotection, and finally embedded in EBM (embedding buffer). For whole-mount staining, bones were shaved on a cryostat until the bone marrow cavity was fully exposed. Bones were carefully harvested from the melting EBM. Frozen sections were prepared according to the nature protocol [17]. Sections were permeated in 0.1% Triton-X100 dissolved in 1× PBS for 30 min. Then, the sections were blocked in 20% normal goat serum for 1 h. Primary antibodies were diluted and incubated with fixed cells overnight at 4 °C. Next day, the sections were washed for three times in PBS and then incubated with the matching secondary antibodies for 1 h at room temperature. DAPI were then added to the stain nucleus for 10 min. After washing in PBS, the sections were mounted with antifade fluorescence mounting medium. Images were acquired on a Leica SP8 confocal microscope.
Flow cytometry analysis
Fluorochrome-conjugated or biotinylated mAbs specific to mouse CD45 (clone 30-F11), CD45.1 (clone A20), Ter119 (clone Ter-119), c-Kit (clone 2B8), Sca-1 (clone D7), CD41 (clone MWReg30), CD150 (clone TC15-12F12.2), hematopoietic lineage cocktail, and corresponding isotype controls were purchased from eBioscience. CD31 (clone MEC13.3) and CD48 (clone HM48–1) were from purchased from BioLegend. Cells were analyzed on a LSR II Flow Cytometer (Becton Dickinson).
Cell culture and differentiation
For the clonal sphere formation, cells were plated at clonal density (< 500 cells/cm2) or by single cell sorting into ultralow adherent plates as previously described [18]. Cells were kept at 37 °C and with 5% CO2 in a water-jacketed incubator and left untouched for 1 week for the prevention of cell aggregation. One-half medium changes were performed weekly. All spheres in each well were counted at day 9, and results were expressed as a percentage of plated cells. For osteogenic, adipogenic, and chondrogenic differentiation, mouse CD45−Ter119−CD31−PDGFR+CD51+ cells were treated with StemXVivo Osteogenic, Adipogenic, or Chondrogenic mouse specific differentiation media according to the manufacturer’s instructions (R&D Systems). All cultures were maintained with 5% CO2 in a water-jacketed incubator at 37 °C. Osteogenic differentiation indicated by mineralization of extracellular matrix and calcium deposits was revealed by Alizarin Red S staining. Cells were fixed with 4% paraformaldehyde (PFA) for 30 min. After rinsing in distilled water, the cells were stained with 40 mM Alizarin Red S (Sigma-Aldrich) solution at pH 4.2, rinsed in distilled water, and finally washed in Tris-buffered saline for 15 min for the removal of nonspecific staining. Adipocytes were identified by the typical production of lipid droplets and Oil Red staining. Chondrocytes were revealed by Alcian Blue staining, which detects the synthesis of glycosaminoglycans. The cells were fixed with 4% PFA for 60 min, embedded in paraffin, and sectioned. The sections were incubated with 0.5% Alcian Blue (Sigma-Aldrich) in distilled water for 15 min. To remove nonspecific staining, sections were rinsed three times with running water (5 min each).
Hematopoietic transplantation assay
Competitive repopulation assays were performed using the CD45.1/CD45.2 congenic system. Equivalent volumes of bone marrow cells were collected from an adult mouse. LSKs were transplanted into lethally irradiated CD45.1 recipients with 0.2 × 105 competitor CD45.1 cells. The CD45.1/CD45.2 chimaerism of recipients’ blood was analyzed up to 4 months after transplantation.
Forward (5′-3′) | Reverse (5′-3′) | |
Actin | TCTGGCACCACACCTTCTACAAT | TGGGGTGTTGAAGGTCTCAAA |
Cfd | TGCATCAACTCAGAGTGTCAATCA | TGCGCAGATTGCAGGTTGT |
Gpnmb | CCCCAAGCACAGACTTTTGAG | GCTTTCTGCATCTCCAGCCT |
Ogn | ACCATAACGACCTGGAATCTGT | AACGAGTGTCATTAGCCTTGC |
Sp7 | ATGGCGTCCTCTCTGCTTGA | GAAGGGTGGGTAGTCATTTG |
Acan | CACGCTACACCCTGGACTTTG | CCATCTCCTCAGCGAAGCAGT |
Col11a2 | TGGCACTCCTGGTCCAGAAG | GCCGGGCTTTCCTGCTA |
RNA extraction and quantitative real-time PCR
Briefly, 500 ng of total RNA was used for cDNA synthesis. Random primers (Qiangen, GM) were used, and all the primer pairs were designed to overlap one intron such that the amplification of genomic DNA is prevented. Q-PCR was sequentially conducted by using SYBR Green PCR master Mix (Takara, JP) and a real-time PCR thermocycler (Angelent), and data were analyzed with the supplied ABI software. Q-PCR was conducted with the following primers:
RNA-sequencing (RNA-seq) analysis
The cells were sorted into RLT buffer (Qiagen RNAeasy Plus Micro kit), and RNA was purified according to the manufacturer’s instructions. Sequencing libraries were prepared from 10 ng to 100 ng total RNA by using the TruSeq RNA Sample Preparation Kit v2 (Illumina). All the samples were sequenced by Illimina plantform Hiseq X Ten, and all the obtained sequences had a 100 bp-long pair end. Raw sequenced reads were mapped to mouse reference genome hg19 by STAR (version 2.3.0). Fragments per kilobase of an exon model per illion (FPKM) mapped fragments for each gene was generated by cufflinks software. The number of reads mapped to each gene was counted by HTSeq. Differential expressed genes were generated by DESeq2 R package. Genes with p of < 0.01 and |log2(fold change)| of > 2 were defined as differential expressed genes between each groups.
A | B | C | D | E | F | G | H | I | J | K | L | M | N | |
1 | Pos | Pos | Neg | Neg | Blank | Axl | Cxcl13 | Cd30L | Cd30 | Cd40 | Crg-2 | Ccl27 | Cxcl16 | Ccl11 |
2 | ||||||||||||||
3 | Ccl24 | FasL | Cx2cl1 | Gcsf | Gm-csf | Ifn-γ | Igfbp3 | Igfbp5 | Igfbp6 | Il1-α | Il1-β | Il2 | Il3 | Il3Rβ |
4 | ||||||||||||||
5 | Il4 | Il5 | Il6 | Il9 | Il10 | Il12 p40/p70 | Il12 p70 | Il13 | Il17α | Cxcl1 | LepR | Leptin | Lix | Cd62L |
6 | ||||||||||||||
7 | Xcl1 | Ccl2 | Mcp5 | Mcsf | Cxcl9 | Ccl3 | Mip1r | Mip2 | Ccl19 | Ccl20 | Cxcl4 | P-Sel | Ccl5 | SCF |
8 | ||||||||||||||
9 | Cxcl12 | Ccl17 | Ccl1 | Ccl25 | Timp1 | Tnfα | TnfRI | TnfRII | Tpo | Vcam1 | Vegfa | Blank | Blank | Pos |
10 |
A | B | C | D | E | F | G | H | I | J | K | L | |
1 | Pos | Pos | Neg | Neg | Blank | bFgf | Cd26 | Dtk | E-Sel | FcγRIIb | Flt3L | GitR |
2 | ||||||||||||
3 | HgfR | Icam1 | Igfbp2 | Igf1 | Igf2 | Il15 | Il17Rb | Il7 | Cxcl11 | Cxcl15 | Ccl22 | Mmp2 |
4 | ||||||||||||
5 | Mmp3 | Opn | Opg | Pro-mmp9 | Resistin | Shh-N | Cxcl7 | Timp2 | Trance | Troy | Tslp | VegfR1 |
6 | ||||||||||||
7 | VegfR2 | VegfR3 | Vegfd | Blank | Blank | Blank | Blank | Blank | Blank | Blank | Blank | Pos |
8 |
Cytokine array
A commercially available cytokine array of 80 cytokine proteins (Mouse Cytokine Antibody Array C1000; RayBiotech) was used to evaluate cytokine production. Briefly, supernatants obtained from the BM of the Ctrl+A2D and B-ALL+A2D mice were tested for cytokine levels following the manufacturer’s instructions. The intensity of each dot was quantified using ImageJ software from BioRad, and the signals were normalized relative to the background. Array map is showen in the following tables:
Cell cycle experiment for HSCs
Cell cycle analysis for HSCs was performed as described previously [19]. Bone marrow was harvested by flushing the bone with 1 mL of ice-cold PBS. Then, the red blood cells were lysed once for 5 min at room temperature in ACK buffer and then washed once in ice-cold PBS. The cells were subsequently counted with a hemocytometer. For flow cytometry, the red blood cells were lysed three times for 5 min at room temperature in ACK buffer and washed once in ice-cold PBS and counted in a hemocytometer. For Lin−Sca1+c-Kit+CD48−CD150+ detection, 106 cells were stained with HSCs surface markers 30 min at 4 °C, then fixed in 4% PFA in PBS for 30 min at 4 °C, washed with PBS, permeabilized with 0.1% Triton X-100 in PBS, and finally stained with anti-ki67-FITC antibody (ebioscience) and DAPI (Life Technologies) at 20 mg/mL for 30 min at room temperature. The cells were washed with washing buffer and analyzed with LSRII flow cytometer (Becton Dickinson).
ROS staining
For the ROS staining of the HSCs, 5 million cells were stained with HSCs cell surface antibodies as described above. The stained cells were then washed and stained with H2-DCFDA (Life Technologies) for 30 min at 37 °C in Ca2+ and Mg2+ free HBSS + 2% HIBS + 50 μM verapamil (Sigma-Aldrich). After washing, the cells were analyzed by flow cytometry.
Apoptosis analysis
Apoptosis was measured by staining freshly harvested bone marrow cells (at least 1 million cells) with Lin−Sca1+c-Kit+CD48−CD150+ for HSCs, followed by Annexin-V-PE and 7-AAD staining (BD Bioscience). After washing, the cells were analyzed by flow cytometry immediately.
Mitochondrial membrane potential analysis
Total numbers of cells from bone marrow were stained with HSC markers and then resuspended in 1 ml of PBS. Then cells were incubated with 50 nM DiIC1(5) (Invitrogen) at 37 °C for 15–30 min. After washing, the cells were analyzed by flow cytometry immediately.
Statistical analysis
All data are presented as the mean ± SD of at least three separate experiments. Statistical analysis was performed using one-way ANOVA followed by Dunnett’s multiple comparison tests. Comparisons between two groups were analyzed using the Student’s t-test. A p value of less than 0.05 was statistically significant.
Results
Chemotherapy treatment reduces the self-renewal property of MSCs
To study the morphological structure of BM niche in B-ALL treated with chemotherapeutic drugs, we established the N-MYC driven B-ALL mouse model as reported previously [16] (Fig. 1a). Then, we treated the B-ALL mice i.p. with cytarabine (Ara-C) in vivo for two constitutive days (A2D). Consistent with our previous results [15], the cell numbers of Nestin+ mesenchymal stem cells (Nes-MSCs) increased dramatically in the B-ALL+A2D group compared with those of the other groups (Ctrl, B-ALL and Ctrl+A2D), as indicated by whole-mount immunofluorescence staining (Fig. 1b). To check whether the properties of the Nes-MSCs were alternated under the stress of chemotherapeutic agents, we sorted the BM-derived MSCs subset out of the total stromal cells (CD45−Ter119−CD31−) from the four groups on the basis of the MSC specific markers CD140a+ and CD51+ [18] (Fig. 1c). We found that all of the MSCs subset of the four groups is capable of forming replatable mesenspheres in the conditional medium. After dissociation, these MSCs spheres passaged and formed secondary spheres as well, demonstrating the in vitro self-renewal capacity of the MSCs (Fig. 1d). To accurately compare the self-renewal capability of MSCs between these four groups, we dissociated the spheres into single cells and divided the cells into 100 cells per well in 96-wells plates. Interestingly, the capability of sphere-forming of secondary generation showed significant difference between B-ALL+A2D and other groups (Fig. 1e). Therefore, we calculated the numbers and diameter of spheres between four groups and found that the B-ALL+A2D group has dramatically decreased sphere numbers and sphere diameter (Fig. 1f-g), suggesting that chemotherapy treatment remarkably reduces the self-renewal property of MSCs in BM.
Chemotherapy-induced MSCs are prone to differentiate into adipocytes and chondrocytes
To further characterize the multilineage differentiation potentials of MSCs under the stress of chemotherapeutic agents, we plated MSCs spheres under in vitro mesenchymal lineage differentiation conditions. Multilineage differentiation was determined by specific staining and morphological and histochemical characterization of mature osteoblastic, chondrocytic, and adipocytic lineage phenotypes after > 30 days of culture. Under conditions optimal for osteoblastic differentiation, clonal mesenspheres from the B-ALL+A2D group differentiated into less alizarin red stain positive osteoblast than that from the Ctr + A2D (Fig. 2a and b). Furthermore, we measured the gene expression levels of osteoblastic differentiation markers by qRT-PCR and found that the expression levels of Gpnmb, Ogn, and Sp7 genes were significantly decreased in the MSCs of the B-ALL+A2D group (Fig. 2c). This result demonstrated the impaired potential for osteoblastic differentiation. We also compared the chondrocytic differentiation by culturing MSCs with conditional medium and showed that the clonal mesenspheres of B-ALL+A2D group preferably differentiated into chondrocyte (Fig. 2d and e). The result was subsequently confirmed by the gene expression analysis of the chondrocyte markers Acan and Col11a2 genes (Fig. 2f). We also found that the MSCs of B-ALL+A2D group are prone to differentiate into adipocytes, as demonstrated by oil red staining (Fig. 2g and h) and gene expression analysis of adipocyte markers (Fig. 2i). Overall, these data demonstrate that the chemotherapy-induced MSCs in B-ALL have alternated differentiation potentials and may differentiate into adipocytes and chondrocytes.
Chemotherapy-induced MSCs have reduced levels of HSC-maintaining cytokines
To systematically characterize the potential differences between the four groups of chemotherapy-induced MSCs, we performed whole-genome RNA expression profile analysis with the MSCs of Ctrl, B-ALL, Ctrl+A2D, and B-ALL+A2D by total RNA sequencing (RNA-seq). The comparison results among the transcriptome profiles revealed the enrichment of several molecular pathways, such as cytokine-receptor interactions and transcriptional misregulation in cancer, in the B-ALL+A2D group (Fig. 3a-c). As cytokine-receptor interactions are crucial to the maintenance of HSCs through the regulation of the self-renewal and differentiation properties, we analyzed the gene expression of cytokines related to the maintenance of HSCs. Indeed, the MSCs of the B-ALL+A2D group showed significantly decreased gene expression levels of those cytokines, including SCF; cytokines CXCL12, ANGPT-1, and IL7; and vascular cell adhesion molecule-1 (VCAM-1) (Fig. 3d-e). Consistently, those five cytokines were downregulated in the MSCs of B-ALL after DNR treatment (Fig. 3f). As detected by cytokine array, the protein levels of three cytokines (SCF, CXCL12 and IL7) were also decreased in bone marrow of the B-ALL+A2D group compared with those of the Ctrl+A2D group (Fig. 3g). These cytokines regulate HSC maintenance and attraction in the bone marrow [8], suggesting that decreased cytokines expression of MSCs by chemotherapy can disrupt the functions of HSCs and compromise the hematopoietic reconstitution of HSCs.
Chemotherapy-induced niche perturbs hematopoietic reconstitution of HSCs
Since chemotherapy reduce the expression of HSC-maintaining cytokines in MSCs, we examined the effect of chemotherapy-induced niche on the hematopoietic reconstitution of HSCs with competitive reconstitution assays in two transplantation strategies. First, we sorted the HSCs (Lin−Sca-1+c-Kit−, LSK cells) from the Ctrl+A2D and B-ALL+A2D mice and transplanted them into recipients (CD45.1 mice) with equal numbers of cells (Fig. 4a). The transplantation ratio was analyzed every 4 weeks. The percentage of CD45.2 donor-derived cells from the B-ALL+A2D group was significantly decreased in the first and secondary transplantation (Fig. 4b-c), suggesting the decreased hematopoietic reconstitution capability of HSCs from the B-ALL+A2D group.
To rule out the possibility that the deficiency in the hematopoietic reconstitution of HSCs is caused by the long-term suppression from leukemic cells, we injected normal LSK-tomato+ cells into Ctrl+A2D and B-ALL+A2D mice and then sorted the tomato+ cells from the chemotherapy-induced BM with flow cytometry in 72 h. The sorted tomato+ cells were then transplanted into the recipient mice (CD45.2) (Fig. 4d). The results showed that the percentage of tomato+ population from the B-ALL+A2D group decreased dramatically in the first transplantation than those from the Ctrl+A2D (Fig. 4e). Engraftment from the B-ALL+A2D group also showed a remarkable difference in the secondary transplantation (Fig. 4f). Additionally, we analyzed the lineage differentiation of HSCs and found that the HSCs from the B-ALL+A2D group preferentially differentiated into megakaryocytes (Fig. 4g). These results showed that the hematopoietic reconstitution of the HSCs in the B-ALL+A2D group was compromised, at least in part, because of the dramatically decreased HSCs-maintaining cytokines in the chemotherapy-induced niche.
Chemotherapy-induced niche increases the ROS levels of HSCs and induces cell apoptosis
To get the insights of the perturbed hematopoietic reconstitution of HSCs, we studied the HSCs in the Ctrl+A2D and B-ALL+A2D groups with the markers of Lineage−sca-1+c-kit+CD48−CD150+ as previously reported [20] (Fig. 5a). Firstly, we stained these HSCs with anti-ki67 antibody and DAPI and used flow cytometry to check the cell cycle of the HSCs from the two groups. The flow cytometry results showed that the percentage of HSCs in the G0 phase of the B-ALL+A2D group was dramatically decreased than those of the Ctrl+A2D group (Fig. 5b and c). Next, we also compared the cell apoptosis of HSCs in the Ctrl+A2D and B-ALL+A2D groups with staining of annexin V. The results demonstrated that the apoptotic cells in the B-ALL+A2D group drastically increased than those of the Ctrl+A2D group (Fig. 5d and e). Apoptosis was also significantly increased in the HSCs of B-ALL after DNR treatment (Additional file 1: Figure S1a and b). Together, these results suggest that the chemotherapy-induced niche perturbed the hematopoietic reconstitution of HSCs in B-ALL mouse model by promoting HSCs to enter cell cycle and inducing cell apoptosis.
Since oxidative stress is the result of an overabundance of cellular reactive oxygen species (ROS) accumulation formed by the partial reduction of oxygen or a defect in the antioxidant protection mechanism [21]. High intracellular levels of ROS have been showed to limit the lifespan of HSCs and accelerate their differentiation and exhaustion [22]. We speculated that the cell cycle proliferation and increased cell apoptosis of HSCs in the B-ALL+A2D group might be caused by the increased intercellular ROS. To test our inferences, we analyzed the intercellular ROS levels of the HSCs in the Ctrl+A2D and B-ALL+A2D groups using ROS probe. The result showed that, indeed, the HSCs of B-ALL+A2D group had higher levels of intercellular ROS than those of the Ctrl+A2D group (Fig. 5f and g), which is consistent with increased cell proliferation and cell apoptosis in the B-ALL+A2D group. We also found that the ROS level was elevated in the HSCs of B-ALL after DNR treatment (Additional file 1: Figure S1c and d). Furthermore, we measured the mitochondrial membrane potential of the HSCs in the Ctrl+A2D and B-ALL+A2D groups using DilC-5 probe. Consistence with the intercellular ROS levels, the HSCs of B-ALL+A2D group had higher levels of mitochondrial membrane potential than those of the Ctrl+A2D group (Fig. 5h and i). These results indicated that the increasing of intercellular ROS levels and mitochondrial membrane potential at least contributes to the cell cycle and cell apoptosis of HSCs.
Altogether, these results suggest that chemotherapy-induced niche promotes HSCs entering cell cycle and increases cell apoptosis with increased the level of intracellular ROS and mitochondrial membrane potential, which may lead to the reduced hematopoietic reconstitution of HSCs.
Discussion
Chemotherapy has been shown to damage BM niche and cause myelosuppression, but the underlying mechanism remains controversial [6, 23, 24]. Here, we showed that a chemotherapy-induced niche in B-ALL perturbed the hematopoietic reconstitution of HSCs after transplantation, suggesting an indirect HSC damage mechanism mediated by BM niche. Our results implicated a fundamental role of the chemotherapy-induced niche on HSCs dysfunction and BM failure and demonstrated that chemotherapy agents can alternate the MSCs in the BM. These effects compromised the self-renewal capability of the HSCs. We also suggested that the decrease of cytokines from the MSCs and the increased level intracellular ROS in HSCs contribute to the perturbed hematopoietic reconstitution of HSCs after chemotherapy.
Various cytokines mediate the interaction between HSCs and niche components. Leptin receptor positive perivascular (LepR+) cells and Nestin+ cells both express and secrete SCF, which is required for the maintenance of HSCs in the bone marrow [10, 11]. CXCL12 derived from mesenchymal progenitors is a niche factor that has been shown to regulate HSC functions, such as retention, quiescence and the ability to induce multilineage reconstitution [25, 26]. Tie2-expressing HSCs situate closely with ANGPT-1-expressing stromal cells, and these interactions have been shown to enhance the adhesion of HSCs to osteoblastic cells through an upregulation of integrinβ1 [27]. Furthermore, angiogenin plays a non-cell-autonomous role in the regulation of hematopoiesis by simultaneously preserving the stemness of hematopoietic stem cells and progenitor cells and promoting the proliferation of lineage-committed myeloid-restricted progenitor cells [28]. Together, these studies highlighted the import roles of different cytokines in BM niche and HSCs maintenance. Here, we showed that these cytokines decreased in the chemotherapy-induced MSCs, and this decrease suggests an alternative myelosuppression mechanism for the maintenance of chemotherapy-compromised HSCs maintenance in a “damaged niche.”
Moreover, HSCs and their niche can be affected by diverse sources of stress, including oxidation, hypoxia, radiation, and chemotherapy, which disrupt HSC homeostasis and regeneration [29, 30]. Our results indicated that chemotherapy-induced niche facilitates the entry of quiescent HSCs into cell cycle and increases cell apoptosis by increasing the level of intracellular ROS and mitochondrial membrane potential, which may lead to the reduced hematopoietic reconstitution of HSCs. These results also suggest a potential indirect mechanism of chemotherapy-induced HSCs failure mediated by MSCs dysfunction. Meanwhile, our results implicated that the chemotherapy-damaged BM niche is not receptive to transplanted HSCs and thus may require the further assistance of HSCs-protective agents [31, 32]. Thus, these HSCs-protective agents may prevent long-term bone marrow failure and could provide a therapeutic option to increase BM function and decrease myelosuppression in chemotherapy-treated patients.
Conclusion
We report that chemotherapy-induced BM niche perturbs hematopoietic reconstitution through increasing the level of intracellular ROS and inducing the cell apoptosis of HSCs, possibly mediated by reduced cytokines in the niche.
Additional file
Acknowledgements
We thank Jian-Min Zhu, Ying An (Shanghai Children’s Medical Center, Shanghai Jiao Tong University School of Medicine) for excellent technical support.
Funding
This work is supported by the National Key R&D Program of China, Stem Cell and Translation Research (NO. 2016YFA0102000 to C.-W.D.) and the National Natural Science Foundation of China (NO. 81570121 to C.-W.D.; NO. 31530017 and 81372349 to B.-B.Z.; NO. 81500112 to H.L.) and The Science and Technology Commission of Pudong District, Shanghai Municipality (NO. PKJ2015-Y04 to C.-W.D.) and by Innovation Program of Shanghai Municipal Education Commission (NO. 15ZZ052 to C.-W.D.).
Availability of data and materials
All data generated or analyzed for this study are included in this published article.
Abbreviations
- ANGPT-1
Angiopoietin-1
- B-ALL
B-cell acute lymphoblastic leukemia
- CXCL12
C-X-C motif ligand 12
- HSCs
Hematopoietic stem cells
- IL7
Interleukin-7
- MSCs
Mesenchymal stem cells
- ROS
Reactive oxygen species
- SCF
Stem cell factor
- VCAM-1
Vascular cell adhesion molecule-1
Authors’ contributions
TC, ZBBS and DCW: designed the study, performed experiments (TC), analyzed and interpreted data, and wrote the paper; LMH, CYL and SHY performed experiments, analyzed and interpreted data, LSL, ZWW, ZMY, LH, FW and ZWJ performed experiments; LAB, TZH and HDL discussed results and contributed to data interpretation. All authors read and approved the final manuscript.
Ethics approval
All studies on animals were performed after approval by the Ethics Committee of Shanghai Children’s Medical Center, in compliance with Guidelines for the Use and Care of Small Laboratory Animals.
Consent for publication
Not applicable.
Competing interests
The authors declare that they have no competing interests.
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Contributor Information
Chao Tang, Email: tc091407137@163.com.
Ming-Hao Li, Email: lmh111lmh@126.com.
Ya-Li Chen, Email: yalichen0519@163.com.
Hui-Ying Sun, Email: SunHY0801@126.com.
Sheng-Li Liu, Email: wliushengli@163.com.
Wei-Wei Zheng, Email: zheng1994apple@163.com.
Meng-Yi Zhang, Email: 18621823181@163.com.
Hui Li, Email: huili1219@163.com.
Wei Fu, Email: fuwei@scmc.com.cn.
Wen-Jun Zhang, Email: zhangwenjun@tongji.edu.cn.
Ai-Bin Liang, Email: lab7182@tongji.edu.cn.
Zhong-Hua Tang, Email: tangzhonghua@scmc.com.cn.
Deng-Li Hong, Email: dlhong@sjtu.edu.cn.
Bin-Bing S. Zhou, Email: zhoubinbing@scmc.com.cn
Cai-Wen Duan, Email: duancaiwen@scmc.com.cn.
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