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CXCL6 is an important paracrine factor in the pro-angiogenic human cardiac progenitor-like cell secretome

Abstract

Studies in recent years have established that the principal effects in cardiac cell therapy are associated with paracrine/autocrine factors. We combined several complementary techniques to define human cardiac progenitor cell (CPC) secretome constituted by 914 proteins/genes; 51% of these are associated with the exosomal compartment. To define the set of proteins specifically or highly differentially secreted by CPC, we compared human mesenchymal stem cells and dermal fibroblasts; the study defined a group of growth factors, cytokines and chemokines expressed at high to medium levels by CPC. Among them, IL-1, GROa (CXCL1), CXCL6 (GCP2) and IL-8 are examples whose expression was confirmed by most techniques used. ELISA showed that CXCL6 is significantly overexpressed in CPC conditioned medium (CM) (18- to 26-fold) and western blot confirmed expression of its receptors CXCR1 and CXCR2. Addition of anti-CXCL6 completely abolished migration in CPC-CM compared with anti-CXCR2, which promoted partial inhibition, and anti-CXCR1, which was inefficient. Anti-CXCL6 also significantly inhibited CPC CM angiogenic activity. In vivo evaluation also supported a relevant role for angiogenesis. Altogether, these results suggest a notable angiogenic potential in CPC-CM and identify CXCL6 as an important paracrine factor for CPC that signals mainly through CXCR2.

Introduction

The adult mammalian heart was long considered a terminally differentiated organ with no capacity to replace aged or damaged cardiomyocytes1. Low but intrinsic cardiomyocyte turnover has nonetheless been demonstrated in the adult mouse heart2,3. An external origin of heart turnover capacity, as direct transdifferentiation or fusion events, has almost been ruled out (reviewed in ref.4) and current discussion focuses on the contribution of specific mature cardiomyocytes by dedifferentiation/proliferation5 and/or of cardiac stem/progenitor cells (CSC/CPC)6.

The therapeutic capacity of CSC/CPC was initially attributed to their potential to differentiate into different reparative cell types. The efficiency of transplanted CSC/CPC in differentiating into functional reparative cells in injured tissues in therapeutically relevant numbers has never been adequately documented7. Short survival appears to be one of the main factors, although limited functional niche availability and inefficient early vascularization could be also responsible. Recent reports suggest that a substantial part of these reparative effects are mediated not by direct differentiation of engrafted CSC/CPC, but mainly by secreted paracrine factors8,9. These factors are postulated to promote arteriogenesis, protect against myocardial ischemia and stimulate endogenous reparative and regenerative pathways10, resulting in durable benefits despite transitory survival of transplanted cells7,11,12. CPC have demonstrated immunoregulatory capacity13,14, similar to mesenchymal stem cells (MSC)15, and an important role is proposed for PD-L1 (programmed death-ligand 1) in the immune behavior of allogeneic CPC14.

This paracrine hypothesis is modifying CPC use in regenerative medicine. Rather than by using cells, repair of injured tissues could be promoted by activating/priming endogenous tissue repair with a combined selection of secreted biologics, including exosome preparations. Recent evidence suggests a promising role for exosomes and extracellular vesicles in intracardiac communication (reviewed in ref.16), including cardiac repair and regeneration17. This could help to eliminate some of the problems associated with cell-based therapy such as senescence or immune incompatibility, as well as costs and waiting time in the case of autologous indications.

Numerous reports have proposed the secretion of paracrine factors as an important mechanism for mesenchymal stem cells (MSC) reparative effects on injured tissues18,19. The MSC secretome has been analyzed extensively (reviewed in ref.20), as has its early modulation during differentiation21. Partial CPC-associated secretome functions are also reported22, but there is no systematic profiling of the secretome that would enable association of the paracrine hypothesis to the spectrum of CPC-mediated therapeutic effects. Deeper comprehension of the CPC/CSC secretome and of its response to acute or diffuse chronic damage would be critical for integrated understanding of CPC therapeutic potential and damage responses.

Here we address the comparative definition of the CPC secretome, by deep proteomics analysis of several independent CPC isolates in culture conditions similar to those defined in an associated phase I/IIa clinical trial (CAREMI) in which 55 patients with large infarcts have been treated intracoronarily with allogeneic CPC23.

Results

Comparative proteomics to define the CPC secretome

To obtain a complete definition of the secreted proteome (secretome) of human CPC, we combined several complementary approaches using three independent CPC isolates (CPC1-3) and comparing with primary isolates from human bone marrow MSC, as the gold standard in cell therapy with adult stem cells24, and human dermal fibroblasts (HDF) as a distant reference lineage. CPC, isolated as described14,23, were cultured in conditions similar to those used in the associated CAREMI clinical trial23; all were cultured in their own optimal conditions (see Methods), using 3% O2, determined optimal for CPC and MSC13,14,25. Supplementary Fig. S1A shows a representative CPC profile compared with MSC and HDF. CPC are positive for expression of stage-specific embryonic antigen 1 (SSEA1), activated leukocyte cell adhesion molecule (CD166), Thy-1 cell surface antigen (CD90) and endoglin (CD105), and negative for hematopoietic markers as the protein tyrosine phosphatase, receptor type C (PTPRC; CD45) and the progenitor cell antigen, CD3413,14. Cultures were grown to 70–80% confluence, then harvested (for proteomics analyses or transcriptomics) or were FBS-deprived for 48 h, prior to harvest for conditioned medium (CM) (Supplementary Fig. S1 summarizes the scheme of analysis).

Whole label-free (LF) proteome, obtained by LC-MS (liquid chromatography-mass spectrometry) using a LTQ-Orbitrap was reanalyzed to explore the set of proteins potentially secretable by CPC. The 465 proteins in this panel (5.62% of the proteome) (0.05% FDR, false discovery rate) were classified as secreted and/or extracellular space proteins by Ingenuity Pathway Analysis (IPA); classification by function showed 63 peptidases, 21 transporter proteins, 37 enzymes, 41 cytokines and 38 growth factors (Fig. 1a; full description in Supplementary Table S1). The main CPC-secreted cytokines and growth factors found in these experiments are listed in Fig. 1b.

Figure 1
figure1

Proteomic analysis of the CPC secretome. (a) CPC secretome inferred from whole label-free (LF) analysis. Distribution of the CPC secretome (465 proteins) by subcellular localization (top) and by enzymatic activity (bottom). (b) Most relevant cytokines (left) and growth factors (right) in the CPC secretome as inferred from whole LF analysis. (c) Comparison of whole LF proteomics secretome and secretome obtained from CPC-conditioned medium (CM); only 19% (104; blue) of the proteins described are common. (d) Distribution of the CPC CM secretome by subcellular localization. (e) The majority of the CPC secretome (>50%) is included in the Exocarta database, indicating association with the exosome compartment.

In addition to the extracellular protein panel inferred from the whole LF proteomics approach, we determined the direct CPC secretome profile from CPC cell supernatants (CM, conditioned medium). CPC1 and CPC3 isolates were cultured (n = 3) to 60–70% confluence, FBS-deprived (48 h) and supernatants collected; after depletion of abundant proteins (DAP; see Methods); LC-MS analysis yielded 1300 proteins, with a clear increase in the numbers of less-abundant proteins. After discarding peptides derived from CPC culture control medium, we identified 754 proteins using the Uniprot database, of which IPA validated 717 (see Supplementary Fig. S2). Compared with data obtained by a whole LF proteome approach, 76.8% of proteins identified in CM were also found in the CPC total proteome set. Probable CPC contaminant proteins were found in varying amounts, including cytoplasmic, nuclear and plasma membrane proteins (summarized in Supplementary Fig. S2). Of the remaining proteins, IPA identified 185 proteins (26%) as extracellular space components (full list in Supplementary Table S2); of these, 56% (104/185) were also found by whole LF proteome analysis (Fig. 1c). Numbers and distribution of the proteins identified by the direct CPC secretome approach are summarized in Fig. 1c,d. Depletion of serum proteins notably enriched the extracellular protein fraction, enabling identification of 81 additional proteins as extracellular components of the CPC secretome (Fig. 1c). For the remaining CPC-secreted proteins, classified as cytoplasmic, membrane or nuclear, we used the EXOcarta database to analyze their potential contribution as exosome proteins (http://exocarta.org/index.html). The results showed that >50% of proteins in CPC conditioned medium (364/717) have been reported as putative exosome components (Fig. 1e), including 72 of the 185 proteins identified by depletion experiments as extracellular (39%) (Supplementary Fig. S2). IL-1A, IL-1B, IL-8, CXCL1 (GROa) and CXCL6 (PGC2) were all validated by whole LF proteomics (Fig. 1b), direct proteomics of CPC CM and ITRAQ (isobaric tags for relative and absolute quantitation; see Methods) (see Supplementary Table S3).

In summary, the combined approach used identified 546 non-redundant proteins as extracellular or secreted CPC proteins.

Comparative validation of the CPC secretome

CPC secretome was validated using an antibody array to determine relative protein levels and identify cytokines and growth factors secreted differentially by CPC (CPC1 and 3), HDF and MSC. Of the 122 cytokines in the antibody array, 12 were highly expressed by CPC, of which GROa (CXCL1), IL-8, uPAR, GCP-2 (CXCL6), IL-5 and LIGHT (TNFSF14) were secreted exclusively by CPC (Fig. 2a); CXCL1 and CXCL6 were expressed at very high levels. Cytokines common to CPC and MSC, but not expressed by HDF, included TIM-1, TIM-2, VEGF-A, and IL-6; only IL-6 was expressed at high levels.

Figure 2
figure2

Comparative validation of the CPC secretome. (a) Conditioned medium from MSC, CPC and HDF were analyzed using an antibody array (122 cytokines). A color-scale of expression levels is included; proteins expressed specifically in CPC are in red. (b) Conditioned medium from MSC (red), HDF (black) and CPC (green) were analyzed using the Milliplex-MAP Human Cytokine/Chemokine Panel (Luminex); chemokine/cytokines are expressed in pg/ml. Duplicates were analyzed for two independent isolates from each cell lineage. (c) ELISA of CM from CPC1 (dark grey), CPC3 (light grey), HDF (black) and MSC (red). Duplicates were analyzed for each cell sample (n = 3). (d) Immunofluorescence analysis of IGF1R and HGFR (cMET) expression (red) in CPC1-3 compared with HDF and MSC; nuclei were DAPI-counterstained (blue). Bars, 20 μm.

For further complementary analysis, we used the Milliplex MAP Human Cytokine/Chemokine Panel (Luminex), which showed that most cytokines/chemokines included were expressed at higher levels in CPC compared with MSC > HDF. Eotaxin (CXCL5), GROa, IL-1A and IL-1B can be considered secreted specifically by CPC (Fig. 2b).

From this combined analysis, we concluded that the CPC secretome is enriched in active molecules compared with MSC/HDF secretomes. We validated GROa and IL-8 as specifically expressed by CPC compared with MSC/HDF (see Supplementary Table S3). Finally, CPC expressed IL-6 at very high levels, although the other two cell lineages also produced it (at approximately 100-fold lower concentrations).

The majority of these results were coincident in proteomics and/or genomics analysis, and a significant proportion of the proteins analyzed were preferentially expressed in CPC in comparison with MSC/HDF (Fig. 2b; summarized in Supplementary Table S3), although several proteins previously linked to CPC, such as IGF-126, were not found in direct screenings (Figs 1 and 2). To confirm expression of these factors previously associated with CPC biology, including IGF-1, HGF, MCP-1, and TGF-β127,28,29,30,31,32, we carried out an ELISA of CM prepared as above, which showed higher IGF-1 levels in CPC-1 and -3 than in MSC/HDF; a similar pattern was found for MCP-1 and TGF-β1 (Fig. 2c). In contrast, HGF expression was weaker in CPC than in HDF (4-fold) and MSC cells (2-fold) (Fig. 2c). IGF-1 and HGF receptor levels were also tested by immunofluorescence in all cell types. In CPC, IGF-1 receptor (IGF1R) expression was higher than in MSC and HDF, but was variable (CPC2 > CPC1 > CPC3) (Fig. 2d). HGF receptor (cMET) expression was quite variable, with the highest levels for HDF, followed by MSC and CPC (CPC2); CPC1 was negative (Fig. 2d). Our data indicate higher levels of IGF-1 secretion by CPC with higher IGF receptor levels, and suggest a feedback loop that promotes CPC survival and expansion27. In contrast the potential for HFG activity on CPC as an autocrine factor is low.

Integrating proteomics and genomics

To define a more complete vision of CPC secretome, we compared CPC1-3 mRNAseq studies with those from the MSC and HDF reference cells. Of a total of 11,767 protein-coding genes in CPC, 5.8% (682) were identified as extracellular space protein using IPA; this set included 53 cytokines, 53 growth factors and 56 enzymes (see Supplementary Fig. S3 and Table S4). mRNAseq analysis of chemokines showed that CXCL6, GROa, CXCL5 and CCL2 were overrepresented in CPC compared to MSC/HDF. IL-1A, IL-1B, IL-33 and IL-8 also showed high expression in CPC compared with MSC/HDF. IL-16 was clearly downregulated in CPC compared with MSC/HDF cells (Supplementary Figure S3).

Gene ontology (GO) enrichment was analyzed in the CPC, MSC and HDF transcription-inferred secretomes with topGO and visualized using the GOplot R packages. We summarize the main categories compared, showing up- and downregulated genes differentially expressed in CPC (p < 0.05) relative to HDF and MSC; cell adhesion, cell migration and angiogenesis categories had the most differentially expressed genes and were most represented (Fig. 3a). In analysis by specific pathway, cytokine pathway and EM structural constituted had the largest number of upregulated genes, whereas aging and BMP pathway categories had markedly higher numbers of genes downregulated in CPC in comparison with MSC/HDF (not shown). In the main cluster associated with cell adhesion (Fig. 3a), some genes are overexpressed in CPC with respect to HDF/MSC (13 genes), of which IL-32, ADAM23 (ADAM metallopeptidase domain 23) and EDA (ectodysplasin A) are associated exclusively with cell adhesion (Supplementary Table S5). Angiogenesis is one of the main categories with clear expression differences between CPC and MSC/HFD. Supplementary Figure S3 shows the main secretome functions (48 in all) related to neovascularization, endothelial cell migration and movement and to angiogenesis in general.

Figure 3
figure3

Validation of the CPC secretome inferred from the transcriptomic analysis. (a) Comparative GO analysis of the CPC, MSC and HDF secretomes, carried out and visualized using the GOplot application. The representation shows up- (yellow) and downregulated (blue) genes differentially expressed in CPC (p < 0.02) relative to HDF (outer circumference) or MSC (inner circumference); non-differentially expressed genes are indicated (black). Colored network connects each gene(s) with main categories analyzed. (b) Comparison of the CPC secretome defined by mRNAseq (682 gene/proteins) with the direct proteomics secretome obtained from CM (185 proteins). (c) Venn diagram of the comparison of data from mRNAseq studies (682 gene/proteins), whole LF proteomics (465 proteins) and direct secretome analysis (185 proteins); only 79 gene/proteins were found in all three data sets.

Using these complementary approaches, we identified a total of 914 extracellular proteins as putative components of the whole LF CPC secretome (Fig. 3b,c). From this panel, 375 proteins were detected exclusively in mRNAseq experiments, 167 were found exclusively in the whole LF CSC proteome and 47, only by the direct secretome approach on CM. Comparison of transcriptome and direct secretome data showed that 113 (16.7%) of the 682 proteins identified by mRNAseq were also identified as extracellular space proteins in the CPC minimal direct secretome (61% of 185 secreted protein identified in CM using the proteomic approach) (Fig. 3b). When compared with the whole LF proteomic set, 273 (40%) of extracellular space proteins found by mRNAseq were also identified in the CPC total proteome (Fig. 3c). In mRNAseq experiments, 55% (375) of proteins identified were detected only as coding transcripts; the remaining 307 extracellular proteins (45%) were found in direct secretome analysis, in whole LF CPC proteomics, or both (79 proteins). These intrinsic differences might be due to distinct transcription and/or translation levels, post-transcriptional regulation or differences in sensitivity and depth of the methods used33,34.

Molecular and functional analysis of the CPC secretome

IPA analysis of the combined CPC secretome (Fig. 1c) is summarized in Supplementary Fig. S4; a large proportion of identified proteins (39%; 215 proteins) is involved in cell growth and proliferative signaling, similar to the number involved in cell death and survival (36%; 200) and in cell movement (27%; 154). A total of 54% (294 proteins) were classified as involved in cardiovascular development and function and 10% in immune cell trafficking.

The top 20 functional GO terms for growth factors identified in the combined CPC secretome include regulation of angiogenesis, cell receptor signaling pathway, cell migration and motility, cell growth regulation, response to wounding and blood vessel morphogenesis (p-values 8.9 10−7 to 2.15 10−4) (see Supplementary Fig. S4). This finding strongly suggests that a large fraction of CPC-released growth factors can promote remodeling via interlinked molecular signaling pathways. These results are compatible with the cell function analyses of the mRNAseq-inferred secretome (Fig. 3a).

In an in vitro scratch test to analyze wound healing ability, we evaluated the capacity of CPC1-3 isolates to repair a scratch induced in subconfluent cell cultures compared with HDF cells (Fig. 4a) in serum-free medium (see Supplementary Methods). All CPC completely closed the injured area, whereas HDF showed only 60–79% healing at 30 h post-injury. We then evaluated wound-healing activity of CPC conditioned medium (CM). CPC CM were prepared from the three isolates (CPC1-3) and compared with serum-free DMEM (negative control). After scratch generation, HDF cells incubated with CPC CM showed an improved healed area compared with negative controls (35% improvement for CPC2 = CPC1 > 22% for CPC3; 30 h post-damage; n = 3) (Fig. 4b). This indicates a potential CPC CM capacity to participate in repair and remodeling processes via paracrine mechanisms.

Figure 4
figure4

Functional evaluation of the CPC secretome. (a) CPC wound healing capacity. All CPC isolates (CPC1-3) showed enhanced repair capacity compared with HDF cells; expressed as the percentage of scratch closure. (b) HDF cells in CM from the three CPC isolates showed improved repair capacity compared with the negative control (DMEM); expressed as percentage of closure. (c,d) Angiogenic activity in CM from the three CPC isolates compared with negative (C+) and positive controls (C+), using HUVEC (see Methods); after 6 h incubation, tube formation was analyzed using ImageJ software. Bar, 500 μm. Data are expressed as mean ± SD; n = 3.

These analyses led us to evaluate CPC angiogenic potential using a standard assay with HUVEC (human umbilical vein endothelial cells; see Methods), in which we compared CPC1-3 CM with negative (serum-free culture medium) and positive controls (Fig. 4c,d). Compared with negative controls, all CPC CM promoted a 2- to 2.5-fold increase in total length of tubules formed, with higher differences in the total segment length parameter (10- to 13-fold increase) (Fig. 4d; see also Supplementary Fig. S5). These results indicate that CPC secrete a combination of factors that could enhance local angiogenesis.

Functional evaluation of CXCL6 in the CPC secretome

CXCL6 (GCP-2) was one of the genes/proteins most consistently overexpressed and secreted by CPC compared with MSC and HDF cells. Transcriptomics analysis showed CXCL6 to be one of the receptor ligands with higher differential expression in CPC vs. MSC/HDF (11.5- and 10.5-logFC, respectively) (Supplementary Fig. 3). Quantitative proteomics also indicated differential expression (2.38-fold increase in Zq (standardized log2ratio) compared with MSC (not shown). ELISA validation showed high CXCL6 levels (550-750 pg/ml) secreted by CPC (CPC1 and CPC3), 35- and 25-fold higher than those of MSC and HDF, respectively (Fig. 5a). Western blot confirmed this high CPC expression, although with variability (CPC3  CPC2 = CPC1); CXCL6 expression was near negative in MSC/HDF (Fig. 5b). We also analyzed expression of the two known CXCL6 receptors, CXCR1 and CXCR2. Results from western blot (Fig. 5c) and immunofluorescence (Fig. 5d) indicated that both were expressed in all cell types, at variable levels. In CPC, CXCR1 levels are higher than those of CXCR2, and levels are similar to MSC (Fig. 5c,d).

Figure 5
figure5

CXCL6 is an important paracrine factor in CPC CM. (a) ELISA evaluation of CXCL6 concentration in CPC (CPC1, CPC3), HDF and MSC CM. Data are shown as mean ± SD (n = 3). (b) Western blot analysis of CXCL6 (11.9 kDa) in CPC (CPC1-3), HDF and MSC CM; β-actin was used as loading control. (c) Western blot analysis of CXCR1 (53 kDa) and CXCR2 (45 kDa) in CPC (CPC1, CPC3), HDF and MSC lysates; β-actin was used as loading control. (d) Immunocytochemical analysis of CXCR1 and CXCR2 expression in CPC (CPC1-3) and MSC; cells were counterstained with laminin (green) and nuclei with DAPI (blue); bars, 20 μm. (e) Role of CXCL6 in pro-repair activity (migration) of CPC CM. Culture with CPC3 CM (1:50 dilution) induced migration of THP-1 cells in comparison with control medium. Coincubation with anti-CXCR1, anti -CXCR2 or anti -CXCL6 antibodies were tested for their ability to interfere with THP-1 cell migration. (f) CXCL6 in the angiogenic activity of CPC CM. HUVEC were incubated with CPC1-CPC3 CM, alone or with anti-CXCL6 antibody (50 nM). After 6 h, cultures were analyzed using ImageJ. Data expressed as mean ± SD (n = 3); black lines indicate p-values (***< 0.002, **< 0.02, *< 0.05; one-way analysis of variance with Bonferroni multiple comparison test).

For preliminary validation of the functional role of CXCL6 in CPC biology, we analyzed its involvement in migration using THP1 cells (see Supplementary Fig. S5). Recombinant CXCL6 (10 nM) stimulated migration above basal levels in transwell analysis (Supplementary Fig. S5). CM from the different CPC isolates (diluted 1:2 or 1:3) induced potent THP1 cell migration (CPC3 = CPC2  CPC1). After titration of anti-CXCL6 (Supplementary Fig. S5), anti-CXCR1 and anti- CXCR2 antibodies (Supplementary Fig. S5), we compared the migration index of THP1 exposed to from CPC3 CM (1:50) with THP-1 in the same medium co-incubated with anti-CXCL6, anti-CXCR1 and/or anti-CXCR2 antibodies. Anti-CXCR1 had no effect on migration compared with negative controls, whereas anti-CXCR2 alone provoked a 50% reduction in migration. Incubation with anti-CXCL6 almost abolished (<25-fold) THP1 cell migration capacity (Fig. 5e). As CPC showed a poor response to CXCL6 at low concentrations compared with MSC (Supplementary Fig. S5), these results suggest that CXCL6 does not have a predominant autocrine role, but is an important chemotactic factor in the CPC secretome. The HUVEC assay also confirmed CXCL6 as a relevant angiogenic factor in CPC CM. Addition of anti-CXCL6 antibody to CPC1 and CPC2 CM inhibited the potential of CM to promote angiogenic structures, expressed as total segment length (88 and 65%, respectively) (Fig. 5f). In contrast, CPC-3 CM was insensitive to anti-CXCL6 antibody (Fig. 5f), possibly because these cells produce much more CXCL6 (Fig. 5b), which might not be blocked by the anti-CXCL6 antibody.

In vivo evaluation of CXCL6 function in the CPC secretome

To evaluate the in vivo role of CXCL6, we used a cardiac toxicity model35,36 induced by chronic doxorubicin (DOX) administration. Mice (B6; 8–9 w) received weekly DOX injections (5 mg/kg) and were analyzed 4 w after the first dose (Fig. 6a). Using this model, we compared treatment with full CPC-conditioned (CM; n = 6) or CXCL6-depleted CPC-conditioned medium (depCM; n = 6). depCM was prepared (see Supp Methods) and the final fractions were confirmed to have reduced (>95%) the CXCL6 content (Fig. 6b) compared to equivalent control-manipulated CM. CM preparations were injected 6 days after the first DOX dose (d0) and 1 day before the second dose (1w) into the pericardial space, essentially as described37; mice were sacrificed at 4 w after initiation of treatment.

Figure 6
figure6

In vivo evaluation of CXCL6 function in a doxorubicin-induced cardiac toxicity model. (a) Experimental scheme. Full CPC-conditioned medium (CM; from isolate CPC3) was compared with CXCL6-depleted conditioned medium (depCM) for their capacity to counteract DOX toxicity (at 5 mg/Kg). Both CM were injected into the pericardial cavity 6 days after the first DOX dose and compared with mice that received vehicle alone (saline). Four weeks after the initial DOX dose, mice were sacrificed, the heart isolated and analyzed by RT-qPCR or in cardiac sections. Drawings design by Vicente Díaz. (b) ELISA quantification of CXCL6 in CM, depCM and CXCL6 bound to agarose beads. (c,d) All mouse groups were analyzed by RT-qPCR for cardiac expression of myosin light chain 7 (Myl7) and cardiac muscle alpha actin (Actc1) (c), and for Des, Bnp, Casp9, Col1a, Ctgf and Actc1, which are compared with values for mice treated with DOX alone (d). (e) TUNEL evaluation of apoptosis levels in cardiac sections from all mouse groups relative to the negative control. (f) Comparative estimation of collagen I deposition in cardiac sections, after Sirius Red staining. (g) Comparative quantification of angiogenic areas by staining cardiac sections from all groups with anti-CD146 and anti-αSMA: left, representative images scale bar 50 μm; right, quantification in relative units (RU). Data expressed as mean ± SD; black lines indicate p-values (***< 0.002, **< 0.02, *< 0.05; one-way analysis of variance with Bonferroni multiple comparison test).

RT-qPCR analysis showed that some genes such as myosin light chain 7 (Myl7) showed greatly increased levels (21-fold) in mice treated with DOX alone; both CM- and depCM-treated groups showed low levels similar to controls (Fig. 6c). In contrast, cardiac muscle alpha actin (Actc1) levels were similar in DOX, CM- and depCM-treated groups, all lower than negative controls (Fig. 6c). The results indicated that, compared with the group treated only with DOX, Bnp, Des, and αSMA expression was low in depCM-treated compared with CM-treated mice (Fig. 6d). No notable differences were found for Myl7, Actc1 (Fig. 6c), Col1a and Ctgf (Fig. 6d) and many other markers (not shown).

TUNEL analysis showed that whereas mice treated with DOX alone showed a 2.5-fold increase in TUNEL+ cells, in CM- and depCM-treated groups, levels of TUNEL+ cells were similar to the negative control group (Fig. 6e). This result suggests that CPC-CM administration reduces DOX-promoted apoptosis, although CXCL6 appears to have no relevant role. Analysis of global free radicals by DHE staining (not shown) and fibrosis by staining with Sirius Red (Fig. 6f) yielded a similar result.

Evaluation of angiogenesis in cardiac sections by anti-CD146 and anti-αSMA staining showed a clear increase (≈2-fold) in small vessels in the CM-treated compared with the depCM-treated group (Fig. 6g). This finding coincided with the in vitro results; other CXCL6 functions might be masked by the rich nature of the CPC-conditioned medium.

In conclusion, using the DOX-induced cardiac toxicity model, we demonstrated that CXCL6, although it has no essential function in mediating apoptosis or fibrosis reduction appears to have a relevant role in promoting angiogenesis, probably in combination with other proteins included in CPC-conditioned medium.

Discussion

Identification and validation of effective secreted modulators and cardioprotective proteins is currently an area of intense study. Using several complementary approaches, we analyzed the secretome of three independent CPC isolates (CPC1-3) in parallel with MSC and HDF cells, to define specific or most preferentially expressed factors. We identified 914 extracellular genes/proteins as components of the CPC secretome. Of these, 375 proteins were only detected by mRNAseq, 47 were exclusive to the direct secretome approach, and 167 were identified by whole LF CPC proteomics. Transcriptomic analysis of extracellular space proteins showed that only 16.7% (113 genes) of all genes detected in mRNAseq studies were identified by the direct secretome study. These differences are probably related to distinct transcription/translation levels, post-transcriptional regulation, or differences in sensitivity and/or precision of the methods used. Based on their own data and other similar results, Peshkin et al. recently proposed a non-linear model of protein dynamics of interest for proteins expressed at low levels (<10 nM), which states that a higher mRNA/protein ratio leads to better agreement between levels of mRNA and protein dynamics34.

Our functional analysis of CPC secretome proteins suggested a strong link with angiogenesis. We confirmed that CPC produce and secrete a combination of factors with wound healing and angiogenic activities, which demonstrates their potential for a role in repair and remodeling processes through paracrine mechanisms. Further detailed analysis and functional validation of the CPC secretome could help to define additional factors that could be used as complementary or alternative soluble paracrine or autocrine factors for human cardiac stem cell-based therapies. In a previous comparative secretome study, Stastna et al. identified 15 differentially expressed paracrine/autocrine factors in rat CSC compared with cultured neonatal rat ventricular myocytes22. Some of the proteins detected such as connective tissue growth factor (CTGF), atrial natriuretic factor (ANP) and protein interleukin-1 receptor-like 1 (ST2), were shown to reduce rat CSC proliferation. In our study, we found only CTGF and SPARC (secreted protein, acidic, cysteine-rich; osteonectin) overexpression in CPC in comparison with MSC/HDF cells.

With results derived from clinical studies using MSC, our findings here provide a footing for new approaches to cardiac therapy, as CPC/CSC and their probable associated paracrine effects have provided superior recovery results to those obtained with MSC (reviewed in refs12,38,39).

In this study we have demonstrated that IL-1, GROa, IL-8 and CXCL6 are expressed strongly and specifically by CPC compared with MSC/HDF. Reports concerning the physiological role of IL-1 signaling are contradictory, and depend on cell or niche context. For example, prominent IL-1A/IL-1R1 signaling was shown in the subgranular zone of adolescent mice40, and IL-1B was found to promote neurogenesis in the murine carotid body41. Comparative study of ckit + CSC from explanted human decompensated hearts and control healthy donors indicated that pathological samples show clear signs of senescence, associated mostly with enhanced IL-1B secretion and reduced levels of AMP protein kinase10. GROa is a proinflammatory cytokine/chemokine involved in angiogenesis that signals through the G protein-coupled receptor CXCR2. In certain contexts, GROa can also act as an inhibitor of migration, as is the case in human primary airway smooth muscle cells42. Plasma GROa levels correlate inversely with severity of disease in an experimental murine model of myocarditis43. Both GROa and CXCR2 were recently implicated in human pluripotent stem cell pluripotency and proliferation39,40,41,42,43,44.

The cytokine IL-8, which is involved in many pathophysiological conditions40, is also proposed as an angiogenesis-related factor41,42,43,44,45 that signals through its specific receptors, CXCR1 and CXCR2. CPC and MSC show relative similarities in gene/protein expression profiles and biological function13,42,43,44,45,46,47. Based on the high CPC levels differential expression of GROa and IL-8, and the fact that these cytokines have a common receptor, CXCR2 (Fig. 5c,d), we speculate a CPC role in regulating basal inflammation in homeostasis similar to that of MSC. In addition, CPC might likewise be recruited for focus repair after damage, with an IL-8 contribution to immunoregulation and angiogenesis. Further study is needed to define the precise role of these CPC secretome factors.

High differential CXCL6 expression by CPC was verified by ELISA (500–700 pg/ml), and expression of its specific receptors was confirmed by Western blot and immunocytochemistry in all isolates tested (Fig. 5c,d) and by whole LF proteomics analysis (Supplementary Table S1). CXCL6 was initially defined as a chemotactic factor for neutrophil/granulocytes. Kim et al. showed that manipulation of MSC to overexpress CXCL6 promoted high levels of pro-angiogenic genes including VEGF-A, IGF-1, HGF and IL-8 48. No specific role for CXCL6 has been shown in unmodified MSC48, but it is upregulated by IFNγ concomitantly with angiogenesis promotion49,50. The angiogenic properties of CXCL6 have been reported51,52 and that it is upregulated by hypoxia53. Our results also indicate a CXCL6 function in the angiogenic activity of the CPC secretome. Whereas CXCL6 elicits only a minimal migration response in CPC, our data suggest that this chemokine has an essential chemotactic function in nearby cells. Because it is one of the most consistently detected and specifically expressed proteins in CPC vs. MSC/HDF comparisons (>6000-fold change in mRNAseq; 4.58-fold increase in standardized log2ratio (Zq), in proteomics analysis), we suggest that CXCL6 is an important contributor to the enhanced angiogenic secretome.

Comparison of the combined CPC secretome profile with the Exocarta database showed 292 proteins from the secretome (>50%) reported as “exosome components” (see Supplementary Fig. S3). As notable examples of this association with highly expressed proteins in human samples, IL-5 and CCL2 are found in extracellular vesicles. In contrast, IL-6, IL-8 and CXCL6, all highly expressed in CPC, have not been described in the extracellular vesicle compartment. No definitive interpretation has been proposed for this compartmentalization54,55. New exosome features and abilities have recently been proposed as essential mediators of bioenergetics rescue and mitophagy in cells56,57.

Evaluation of the therapeutic effect of CXCL6-depleted CM compared with full CPC-CM in a model of DOX-mediated cardiac toxicity suggested that subpericardial administration of CXCL6-depleted CM promoted some differential responses. Lack of effect on regulation of apoptosis, fibrosis and ROS suggest a non-predominant CXCL6 role, although they could be masked by alternative/complementary pathways contained in the rich CPC-CM, and no enough sensitivity exist in this model.

RT-qPCR analysis confirmed that treatment of DOX-treated mice with depCM led to reduced recovery for selected genes. The clearest example is desmin, a major intermediate filament protein, essential for structural integrity and function of muscle. Desmin is described as target of DOX treatment, and is phosphorylated in Thr17, which leads to myofibrillar disarray58. A previous study showed that DOX promotes a dose-dependent reduction in desmin-positive cardiac microvascular endothelial cells, which induces loss of mitochondrla membrane potential and upregulates VEGF-A secretion with a concomitant reduction in its receptor expression59.

Using CM from genetically modified MSC that overexpress CXCL6 (MSC-CXCL6), Kim et al. observed significantly accelerated migration and proliferation of fibroblastic cells, as well as that MSC-CXCL6 differentiated spontaneously to endothelial-like cells48. Our results for administration of CPC-CM also confirmed an outcome that favored angiogenesis. CXCL6 thus appears to be a relevant factor in the CPC secretome, with a central function for the recovery of affected vessels, by acting at least on cardiac mesenchymal cells.

Methods

Animals

C57BL/6 mice (8- to 12-weeks-old) were provided by Charles River Laboratories Inc. Animal studies were approved by the CNB-CSIC Ethics Committee and by the Division of Animal Protection of the Comunidad de Madrid (PA 56/11, PROEX 048/16). All animal procedures conformed to EU Directive 2010/63EU and Recommendation 2007/526/EC regarding the protection of animals used for experimental and other scientific purposes, enforced in Spanish law under Real Decreto 1201/2005. Animals were maintained and handled according to the recommendations of the CNIC and CNB-CSIC institutional Ethics Committee.


Cells and culture conditions

Human cardiac progenitor cells (CPC) were purified from three human myocardial samples by c-kit immunoselection as described14, expanded for full characterization (Supplementary Fig. S1)13 and cryopreserved. Procedures, were approved by the hospital ethical committees (H. 12 de Octubre and H. U. Gregorio Marañón, Madrid, Spain) with the corresponding patient informed consents. All methods were carried out in accordance with relevant guidelines and regulations (R.D. 9/2014 and Orden SSI/2057/2014, which transpose the European Comission Directive 2012/39/UE). CPC were maintained and expanded, as indicated (see Supplementary Methods), essentially in the same growth conditions used for the CAREMI clinical trial (EudraCT 2013-001358-81). Human bone marrow-derived mesenchymal stem cells (MSC) were obtained from the Inbiobank Stem Cell Bank (www.inbiobank.org), under the specific regulations (R.D. 1301/2006). Human foreskin fibroblasts (HDF) were purchased from American Type Culture Collection (ATCC, Manassas, VA; CRL-2097). MSC and HDF were maintained and expanded (see Supplementary Methods). All experiments were performed using cells that had undergone no more than 8 passages and were maintained in a 3% O2/5%CO2 atmosphere. The THP-1, human monocytic cell line, derived from an acute monocytic leukemia, was used for migration assays and was cultured as described (see Supplementary Methods). Human umbilical vein endothelial cells (HUVEC) were a gift from Dr. Santos Mañes (CNB-CSIC, Madrid) and were obtained from umbilical cords at term, essentially as described60, and purchased (cc-2517) from Lonza.


Label-free proteomics analysis

Cells from CPC isolates CPC1-3 were used. A working cell bank was prepared (from P4 for CPC2 and P5 for CPC1 and 3) and cells were expanded to P7 and P8, respectively. After several washes in PBS, pellets (5–8 × 107 cells) were collected and aliquoted. Proteins were digested using the in-gel digestion protocol as described, with some modifications (see Supplementary Methods). For direct proteomics analysis of conditioned medium (CM), cells were plated (5 × 103 cells/cm2) in a 100 mm dish and cultured to 70–80% confluence. Cells were washed three times with serum-free medium and incubated in serum-free medium (48 h). Culture supernatants were concentrated by lyophilization filtered through a 0.22 μm filter, quantified and stored at −80 °C. Samples (200 μL) were applied to ProteoMiner columns (BioRad) to deplete abundant proteins; after washing, individual fractions (E1-E3) were collected and analyzed (20 μg total protein); CPC culture medium was processed in parallel. All proteomics data derived from this study are deposited in Peptide Atlas (http://www.peptideatlas.org/repository/) and are accessible through the accession number PASS00827.


RNAseq analysis

RNA was isolated from CPC (CPC1-3), MSC (19, 33, 44) and HDF (F1, F2, F3) as described13. RNAseq libraries were obtained using the TruSeq RNA Sample Preparation v2 Kit (Illumina). Libraries were sequenced using 75 bp single-end strategy and processed as described61.


Cytokine/chemokine quantification

For quantification, we used a cytokine antibody array, Luminex platform and ELISA, when indicated; for conditions, see Supplementary Methods.


Migration and wound healing assays

For migration assays with THP-1, CPC and MSC, we used 6.5 mm polycarbonate transwells with a 5 μm-pore membrane (Corning, Corning, NY), in conditions as described (see Supplementary Methods). Wound healing assays were carried using standard conditions (Supplementary Methods).


Angiogenic assay

Human umbilical vein endothelial cells (HUVEC) were seeded at 5 × 104 cells/cm2 on Matrigel (356234, BD Biosciences, San Jose, CA). Cells were incubated in CPC supernatants, and serum-free medium 199 (Biowest; Nuaille, France) or medium 199 supplemented with 2% fetal bovine serum (FBS) + 3 ng/ml FGF or 5 ng/ml VEGF (6 h). Tube formation was measured using ImageJ software (NIH).


Western blot

Cells were harvested in RIPA (radioimmunoprecipitation assay) lysis buffer, and equal amounts of lysate were separated by 10% SDS-PAGE. Proteins were transferred to PVDF membranes using the iBlot Dry Blotting System (Invitrogen, Carlsbad, CA). After incubation with primary and secondary antibodies, signals were developed using an ECL kit (GE Healthcare, Uppsala, Sweden). Supplementary Table S6 includes the list of all primary and secondary antibodies used.


Immunofluorescence

Cells were fixed in 4% PFA, blocked with blocking buffer (PBS with 10% FBS; 30 min, room temperature), permeabilized with 0.1% Triton-X100 (5 min, room temperature), and then incubated with primary antibodies (overnight, 4 °C). After washing, cells were incubated with an appropriate secondary antibody (1 h, room temperature), washed cells were mounted in Prolong DAPI mounting medium (Invitrogen), and analyzed under a fluorescent or confocal microscope. Antibodies are summarized in Supplementary Table S6.


Statistics

Assays were performed three times and data expressed as mean ± SD; black lines summarize p-values (***< 0.002, **< 0.02, *< 0.05) for CPC vs. HDF or MSC (one-way analysis of variance followed by the Bonferroni correction for multiple comparison).


Data Availability

All transcriptomic data derived from this study will be deposited in Gene Expression Omnibus (GEO) database repository (www.ncbi.nlm.nih.gov/geo/),and are accesible through the accession number GSE84070. The rest of datasets generated during and/or analysed during the current study are available from the corresponding author on reasonable request.


Accession codes to public repositories

All proteomics data derived from this study are deposited in Peptide Atlas (http://www.peptideatlas.org/repository/) and are accessible through the accession code PASS00827. All transcriptomic data are deposited in the Gene Expression Omnibus (GEO) database (http://www.ncbi.nlm.nih.gov/geo/query/), and are accessible through the accession number PASS00827.

Additional information

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Acknowledgements

We wish to thank S Cañón and D Herrero (CNB-CSIC), I Palacios (Tigenix) for critical discussion of the manuscript, and C Mark for editorial assistance. We also want to acknowledge the help of AV Alonso and L Flores (CNIC) for their help with the in vivo work. This study was supported by funding from the European Commission (HEALTH-2009_242038) and by grants from the Spanish Ministry of Science and Innovation (SAF2012-34327 and SAF2015-70882-R to AB and BIO2012-37926 and BIO2015-67580-P to JV), the Research Program of the Comunidad Autónoma de Madrid (S2010/BMD-2420) and the Instituto de Salud Carlos III (RETICS-RD12/0019/0018 to AB and RETICS-RD12/0042/0056 to JV).

Author information

J.L.T., conception and design, data analysis, interpretation; S.A., J.A.L., J.L.A. and J.A.Q., collection and/or assembly of data; C.T. and J.V., data analysis and interpretation; P.G.-A. and P.M.A., conception and design; manuscript critical revision; C.S., A.G., J.A.B and J.J.-B. were involved in the in vivo work; L.R-B., collection and/or assembly of data, data analysis and interpretation; A.B., conception and design, data analysis and interpretation, financial support, manuscript writing.

Competing Interests

J.L. Abad and L.R. Borlado were employees of Coretherapix, part of the Tigenix Group since July 2015. The remaining authors declare no conflict of interest.

Correspondence to Antonio Bernad.

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Supplementary Information

Table S1

Table S2

Table S4

Table S5

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