Geetika Bajpai1, Caralin Schneider1, Nicole Wong1, Andrea Bredemeyer1, Maarten Hulsmans2, Matthias Nahrendorf2, Slava Epelman3, Daniel Kreisel4, Yongjian Liu5, Akinobu Itoh4, Thirupura S Shankar6, Craig H Selzman7, Stavros G Drakos8, Kory J Lavine9,10,11. 1. Center for Cardiovascular Research, Division of Cardiology, Department of Medicine, Washington University School of Medicine, Saint Louis, MO, USA. 2. Center for Systems Biology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA. 3. Peter Munk Cardiac Center, Ted Rogers Center for Heart Failure Research, Toronto General Hospital, University of Toronto, Toronto, Ontario, Canada. 4. Department of Surgery, Washington University School of Medicine, Saint Louis, MO, USA. 5. Department of Radiology, Washington University School of Medicine, Saint Louis, MO, USA. 6. Nora Eccles Harrison Cardiovascular Research and Training Institute (CVRTI), University of Utah School of Medicine, Salt Lake City, UT, USA. 7. Division of Cardiothoracic Surgery & Nora Eccles Harrison Cardiovascular Research and Training Institute (CVRTI), University of Utah School of Medicine, Salt Lake City, UT, USA. 8. Division of Cardiovascular Medicine & Nora Eccles Harrison Cardiovascular Research and Training Institute (CVRTI), University of Utah School of Medicine, Salt Lake City, UT, USA. 9. Center for Cardiovascular Research, Division of Cardiology, Department of Medicine, Washington University School of Medicine, Saint Louis, MO, USA. klavine@wustl.edu. 10. Department of Developmental Biology, Washington University School of Medicine, Saint Louis, MO, USA. klavine@wustl.edu. 11. Department of Immunology and Pathology, Washington University School of Medicine, Saint Louis, MO, USA. klavine@wustl.edu.
Abstract
Paradigm-shifting studies in the mouse have identified tissue macrophage heterogeneity as a critical determinant of immune responses. In contrast, surprisingly little is known regarding macrophage heterogeneity in humans. Macrophages within the mouse heart are partitioned into CCR2- and CCR2+ subsets with divergent origins, repopulation mechanisms, and functions. Here, we demonstrate that the human myocardium also contains distinct subsets of CCR2- and CCR2+ macrophages. Analysis of sex-mismatched heart transplant recipients revealed that CCR2- macrophages are a tissue-resident population exclusively replenished through local proliferation, whereas CCR2+ macrophages are maintained through monocyte recruitment and proliferation. Moreover, CCR2- and CCR2+ macrophages have distinct functional properties, analogous to reparative CCR2- and inflammatory CCR2+ macrophages in the mouse heart. Clinically, CCR2+ macrophage abundance is associated with left ventricular remodeling and systolic function in heart failure patients. Collectively, these observations provide initial evidence for the functional importance of macrophage heterogeneity in the human heart.
Paradigm-shifting studies in the mouse have identified tissue macrophage heterogeneity as a critical determinant of immune responses. In contrast, surprisingly little is known regarding macrophage heterogeneity in humans. Macrophages within the mouse heart are partitioned into CCR2- and CCR2+ subsets with divergent origins, repopulation mechanisms, and functions. Here, we demonstrate that the human myocardium also contains distinct subsets of CCR2- and CCR2+ macrophages. Analysis of sex-mismatched heart transplant recipients revealed that CCR2- macrophages are a tissue-resident population exclusively replenished through local proliferation, whereas CCR2+ macrophages are maintained through monocyte recruitment and proliferation. Moreover, CCR2- and CCR2+ macrophages have distinct functional properties, analogous to reparative CCR2- and inflammatory CCR2+ macrophages in the mouse heart. Clinically, CCR2+ macrophage abundance is associated with left ventricular remodeling and systolic function in heart failurepatients. Collectively, these observations provide initial evidence for the functional importance of macrophage heterogeneity in the human heart.
Over the past 40 years the prevailing view has been that tissue macrophages
originate from circulating blood monocytes. Recently, a growing body of literature
has challenged this dogma and revised our understanding of macrophage origins.
Studies performed in mouse models have provided evidence that tissue macrophages
represent a heterogeneous population of cells derived from a variety of
lineages[1-3]. In the mouse, many tissue resident
macrophages in the brain, skin, liver, kidney, lung, and heart are established
during embryonic development and persist into adulthood independent of blood
monocyte input[4-12]. Embryonic-derived macrophages are
long-lived and replenished locally independent of peripheral monocyte input through
cell proliferation[4, 13]. In contrast, classically described
macrophages originate from definitive hematopoietic progenitors located within the
bone marrow and spleen and are replenished under steady state and inflammatory
conditions through monocyte recruitment in a CCR2 (receptor for CCL2/MCP1 and
CCL7/MCP3) dependent manner[6, 7]. These advancements in knowledge
relied on the establishment of sophisticated genetic lineage tracing, parabiosis,
and monocyte tracking strategies only available in rodent systems[14-16].While tissue resident macrophage populations and their exact embryonic
origins continue to be defined across a variety of organs and tissues, it is
immediately apparent that macrophage origin is a critical determinant of cell
behavior. This is particularly important as macrophages of distinct origin often
coexist within tissues[11]. For
example, the heart contains several macrophage populations that can be distinguished
based on lineage tracing and cell surface expression of CCR2. By employing flow
cytometry, genetic lineage tracing, and parabiosis strategies, we previously
demonstrated that the mouse heart contains distinct populations of CCR2- and
CCR2+ macrophages. CCR2- macrophages are derived from primitive yolk sac and
fetal monocyte progenitors. CCR2- macrophages establish residency within the heart
during embryonic development, and in the absence of disease, are maintained
throughout life independent of blood monocyte input. In contrast, CCR2+
macrophages originate from definitive hematopoietic progenitors, enter the heart
after the first few weeks of life, and are maintained through a combination of
mechanisms including gradual monocyte recruitment and proliferation[8, 17, 18].Importantly, CCR2- and CCR2+ macrophages have distinct functions in
the heart. CCR2- macrophages are involved in various forms of tissue remodeling such
as coronary development, vascular expansion, and cardiac tissue repair[17, 18]. For example, following neonatal cardiomyocyte injury,
CCR2- macrophages orchestrate cardiac tissue regeneration and functional recovery of
the heart through expansion of the coronary vasculature, cardiomyocyte
proliferation, and physiological cardiomyocyte hypertrophy. In the absence of CCR2-
macrophages, the pediatric mouse heart demonstrates little regenerative capacity.
While the exact functions of CCR2+ macrophages within the adult heart under
steady state conditions are not completely defined, it is likely that these cells
participate in the initiation of inflammation. Following myocardial ischemia
reperfusion injury, CCR2+ macrophages are activated in a TLR9 dependent
manner and orchestrate neutrophil extravasation into the injured myocardium through
production of the neutrophil chemokines, CXCL2 and CXCL5[19].Collectively, these studies have established that in mice the heart contains
a heterogeneous population of functionally distinct macrophages with remarkable
effects on cardiovascular disease pathogenesis. However, macrophage heterogeneity in
human tissues remains largely unexplored. In this study, we tested the hypothesis
that the human heart contains distinct macrophage populations that are functionally
analogous to mouse cardiac CCR2- and CCR2+ macrophages.
Results
The human heart contains distinct subsets of CCR2- and CCR2+
macrophages
To define appropriate cell surface markers for human cardiac macrophages,
we performed immunostaining on LV myocardial specimens obtained from patients
with dilated and ischemic cardiomyopathies. Transmural LV specimens were
collected at the time of left ventricular assist device (LVAD) implantation or
heart transplantation. All specimens were obtained from either the apical or
lateral LV walls. We first tested whether cardiac macrophages express CD14, a
GPI anchored TLR4 co-receptor preferentially expressed on human monocytes and
macrophages[20]. Dual
immunostaining for CD68 (pan-macrophage marker) and CD14 revealed that human
cardiac macrophages uniformly express CD14 (Fig.
1a). Quantification of CD14+CD68+ cells in specimens
obtained from patients with dilated cardiomyopathy (DCM) and ischemiccardiomyopathy (ICM) revealed that the vast majority of cardiac macrophages are
CD14+ (94.1 and 94.4%, respectively) (Fig. 1b). Based on the finding that human cardiac
macrophages uniformly express CD14, we devised a flow cytometry gating scheme to
identify and characterize human cardiac macrophage populations.
Figure 1
The human heart contains distinct populations of CCR2- and CCR2+
macrophages
a, Immunostaining of human cardiac macrophages (CD68, white) for
CD14 (red). Blue: DAPI. b, Percentage of CD14+CD68+
cells in specimens obtained from patients with dilated (DCM) and ischemic (ICM)
cardiomyopathy. Each data point (n=6) represents a biologically
independent heart failure sample. The line indicates the mean value.
c, Flow cytometry gating scheme utilized to identify and
characterize cardiac macrophage populations. d, Flow cytometry
plots showing expression of MertK (macrophage marker), CD33 and CD163
(monocyte/macrophage markers), CD3 (T-cell marker), CD19 (B-cell marker), and
CD56 (NK cell marker) in CCR2+HLA-DRlow,
CCR2-HLA-DRhigh, and CCR2+HLA-DRhigh cells.
Red: isotype control, Blue: indicated antibody. e, Immunostaining
for CD68 (white), CD64 (red), and CCR2 (green) indicates that both CCR2- and
CCR2+ macrophages are present within the left ventricular myocardium.
These experiments were independently repeated 3 times with similar results.
Blue: DAPI. a: 400X magnification, e: 200X magnification.
Previously, we and others have performed detailed lineage tracing, flow
cytometry, and transcriptomic analyses to define cell surface markers for
cardiac macrophages in the mouse including CD45, CD64, MHC-II, and
CCR2[8, 17, 18,
21, 22]. To test the hypothesis that human
cardiac macrophages can be identified using an evolutionarily conserved set of
cell surface markers, we performed the following experiments. Flow cytometry
analysis revealed that CD14+ cells present in the human heart co-express
both CD45 (common leukocyte antigen) and CD64 (Fc gamma receptor 1A) (Fig. 1c). CD64 is an evolutionarily conserved
receptor that is exclusively expressed on mouse and human monocytes and
macrophages. CD64 is not expressed on other myeloid cells including neutrophils,
eosinophils, or dendritic cells[20,
23]. Using a gating strategy
similar to that employed in our previous studies focused on mouse cardiac
macrophages[8], we
demonstrated that CD14+CD45+CD64+ cells can be divided
into 3 distinct subsets based on the expression of HLA-DR (human homologue of
MHC-II) and CCR2: CCR2+HLA-DRlow,
CCR2+HLA-DRhigh, and CCR2-HLA-DRhigh cells.
The distribution of these cell types did not differ between ICM and DCM (Supplemental Fig. 1a). To
more precisely define the identity of these cell populations, we performed
further flow cytometry assays examining the expression of established cell
markers. Previous studies have demonstrated that MertK (MER proto-oncogene
tyrosine kinase) is an evolutionarily conserved marker specific for mouse and
human macrophages[20, 23]. Compared to isotype control, MertK
staining could only be detected on CCR2+HLA-DRhigh and
CCR2-HLA-DRhigh cells suggesting that
CCR2+HLA-DRhigh and CCR2-HLA-DRhigh cells
represent macrophages and CCR2+HLA-DRlow cells are monocytes.
Consistent with monocyte and macrophage identity
CCR2+HLA-DRlow, CCR2+HLA-DRhigh, and
CCR2-HLA-DRhigh cells expressed both CD33 (Siglec-3, myeloid
marker) and CD163 (monocyte/macrophage marker) and lacked expression of CD3
(T-cell marker), CD19 (B-cell marker), and CD56 (NK-cell marker) (Fig. 1d).To provide confirmatory evidence that human cardiac macrophages can be
divided into CCR2- and CCR2+ subsets using a separate technique, we
developed an immunostaining assay to identify CCR2- and CCR2+
macrophages in formalin fixed paraffin-embedded human heart tissue. For
immunostaining experiments we identified monocytes and macrophages using CD68, a
marker routinely used in clinical practice. Intracellular flow cytometry
confirmed that CD45+CD14+CD64+ cells also expressed CD68
and that monocytes, CCR2- macrophages, and CCR2+ macrophages were found
within the CD45+CD14+CD64+CD68+ gate (Supplemental Fig. 1b).
Immunostaining with antibodies specific for CD64, CD68, and CCR2 revealed the
presence of CD64+CD68+CCR2- and
CD64+CD68+CCR2+ cells within the LV myocardium (Fig. 1e, Supplemental Fig. 1c). Together,
these data demonstrate that the human heart contains a heterogeneous population
of monocytes and macrophages that can be divided into distinct subsets based on
the expression of CCR2 and HLA-DR.
Tissue localization of CCR2- and CCR2+ macrophages
To determine whether CCR2- macrophages and CCR2+
monocytes/macrophages occupy distant locations within the LV myocardium, we
performed CD68 and CCR2 immunostaining on specimens obtained from DCM and ICM
patients. Tissues were perfused with saline prior to fixation to remove
intravascular immune cells including monocytes. Flow cytometry and
immunostaining analyses indicated that tissue perfusion substantially reduced
monocyte numbers and that the majority of CD68+ cells were
CCR2-HLA-DRpos and CCR2+HLA-DRpos macrophages
(Supplemental Fig.
2a-c). Rare monocytes (CCR2+HLA-DRneg) were only
found adjacent to blood vessels located within areas of dense fibrosis (Supplemental Fig. 2d).
Within viable appearing areas of myocardium (defined by the absence of scar
tissue) the majority of CD68+ cells represented CCR2- macrophages.
Co-staining with either CD34 or eNOS antibodies (vascular markers) revealed that
CCR2- macrophages were closely associated with coronary endothelial cells (Supplemental Fig. 3a, d).
In contrast, CCR2+ macrophages preferentially occupied areas containing
scar or fibrotic tissue where they were found embedded in areas infiltrated with
type I collagen (Supplemental
Fig. 3b, d). We have previously demonstrated that mouseCCR2- and
CCR2+ macrophages are activated in response to cardiomyocyte cell
death[17, 19]. To determine whether humanCCR2- and
CCR2+ macrophages might similarly recognize dying cardiomyocytes, we
performed CD68, CCR2, and TUNEL staining. CCR2- and CCR2+ macrophages
were both present adjacent to TUNEL+ cardiomyocytes at equivalent
ratios. However, areas of cell death were rare and the majority of CCR2- and
CCR2+ macrophages were not located adjacent to TUNEL+
cardiomyocytes (Supplemental
Fig. 3c-d).
CCR2- and CCR2+ macrophages are maintained through distinct
mechanisms
To delineate whether human cardiac CCR2- and CCR2+ macrophages
are maintained through similar or distinct mechanisms we measured contributions
from peripheral monocyte recruitment and cell proliferation. We chose to focus
on peripheral recruitment and cell proliferation as previous studies in the
mouse have demonstrated that these activities represent the primary mechanisms
responsible for maintenance and repopulation of mouse tissue
macrophages[11].To measure the contribution of peripheral monocyte recruitment to the
maintenance of human cardiac CCR2- and CCR2+ macrophage subsets, we
examined endomyocardial biopsy specimens obtained from sex mismatched heart
transplant recipients. All included endomyocardial biopsy specimens were
obtained from male patients who received a heart from a female donor. The mean
time from transplant was 8.8 years and none of the included biopsy specimens
showed evidence of rejection or allograft dysfunction (Supplemental Table 1).
Using a combination of immunostaining for CD68 and CCR2 and in situ
hybridization for Y chromosomes, we quantified the percentage of CCR2- and
CCR2+ macrophages that were derived from the recipient avoiding
intravascular CD68+ cells (Fig.
2a-b). Recipient derived (Y chromosome+) macrophages were
interpreted as originating from recruited monocytes. Consistent with being a
tissue resident population, only a small percentage of CCR2- macrophages
(0.70±1.4%) contained a Y chromosome. In contrast,
30.6±16.8% of CCR2+ macrophages contained a Y
chromosome, suggesting that peripheral monocyte recruitment represents an
important mechanism by which CCR2+ macrophages are maintained in the
human heart (Fig. 2c).
Figure 2
CCR2- and CCR2+ cardiac macrophage populations are maintained through
distinct mechanisms
a, In situ hybridization and immunostaining of
endomyocardial biopsy specimens obtained from recipients of sex mismatch heart
transplants (n=9). All specimens were obtained from male patients who
had received a heart from a female donor >1 year prior to biopsy. DAPI
(blue), CD68 (red), CCR2 (yellow), and Y chromosome (white). Arrows:
CCR2+ macrophages, arrowheads: CCR2- macrophages. b, Merged
image from a. 400X magnification. Arrow denotes CCR2+
macrophage containing a Y chromosome. c, Percentages of CCR2- and
CCR2+ macrophages that contain a Y chromosome (n=9). Each data
point represents a biologically independent biopsy specimen and the line refers
to the mean value. Mann Whitney test (two-sided), p<0.0001.
d, Cell proliferation of CCR2- and CCR2+ macrophages,
as assessed by immunostaining for CD68 (red), CCR2 (yellow), and Ki67 (white).
Each data point represents a biologically independent heart failure specimen and
the line refers to the mean value. Mann Whitney test (two-sided): DCM,
p=0.0036 and ICM, p=0.006. e, Merged image from
d. 200X magnification. f, Percentage of CCR2- and
CCR2+ macrophages (macs) staining for Ki67 in hearts from DCM
(n=11) and ICM (n=11) patients.
To examine whether cell proliferation also contributes to human cardiac
CCR2- and CCR2+ macrophage maintenance, we performed immunostaining for
CD68, CCR2, and Ki67 (Fig. 2d-e). Both
CCR2- and CCR2+ macrophages populations displayed significant numbers of
cells that were Ki67+, indicating that cell proliferation is an
important mechanism of cell maintenance for each macrophage subset. However,
CCR2+ macrophages displayed higher frequencies of Ki67+ cells
compared to CCR2- macrophages (DCM: 29.0±11.4% vs.
17.2±7.2%, p<0.01 and ICM: 30.3±8.0% vs.
11.1±6.9%, p<0.01) (Fig.
2f). Together, these data suggest that CCR2- macrophages represent a
tissue resident population that is maintained through cell proliferation, while
CCR2+ macrophages are maintained through a combination of monocyte
recruitment and cell proliferation. These data are consistent with previous work
suggesting that monocyte recruitment and local proliferation are important
mechanisms contributing to macrophage expansion in the chronically failing mouse
heart[22] and suggest
that human cardiac CCR2+ macrophages may have higher turnover rates
compared to human cardiac CCR2- macrophages.
Gene expression profiling of CCR2- macrophages, CCR2+ macrophages,
and CCR2+ monocytes suggests differential cell origins and
functions
To provide further evidence that human cardiac CCR2- and CCR2+
macrophages comprise functionally distinct macrophage populations, we performed
transcriptomic profiling of RNA isolated from purified CCR2- macrophages
(n=19 patients), CCR2+ macrophages (n=19 patients), and
CCR2+ monocytes (n=10 patients) using microarray technology.
Macrophages and monocyte populations were isolated from patients with DCM
(n=8) and ICM (n=11) using flow cytometry based cell sorting.
Prior to performing our transcriptomic profiling studies, we examined the
morphology of flow cytometry sorted CCR2+HLA-DRlow monocytes,
CCR2+HLA-DRhigh macrophages, and
CCR2-HLA-DRhigh macrophages using cytospin preparations. Compared
to CCR2+HLA-DRlow monocytes,
CCR2+HLA-DRhigh and CCR2-HLA-DRhigh macrophage
subsets displayed increased granularity consistent with known distinctions
between monocyte and macrophage morphology. In addition, the morphology of
CCR2+HLA-DRhigh and CCR2-HLA-DRhigh
macrophages differed with CCR2+HLA-DRhigh macrophages being
larger in size compared to CCR2-HLA-DRhigh macrophages (Fig. 3a).
Figure 3
Microarray gene expression profiling of CCR2+ monocytes, CCR2-
macrophages, and CCR2+ macrophages in the failing human heart
a, Left, representative images of CCR2+HLA-DRlow
monocytes (n=14), CCR2+HLA-DRhigh macrophages
(n=16), and CCR2-HLA-DRhigh macrophages (n=29)
isolated from 4 biologically independent failing hearts (ICM and DCM) using
FACS. Wright staining, 800X magnification. Right, quantification of cell area.
Asterisks denotes p<0.05. Each data point represents an individual cell
and the line represents the median value. Mann Whitney test (two-sided)
p=0.025. b, Hierarchical clustering highlighting the
relationships among CCR2+ monocytes (n=10), CCR2- macrophages
(n=19) and CCR2+ macrophages (n=19) in the failing heart
(DCM, n=8 and ICM, n=11). Sample color scheme is identical to
the legend in d. MΦ: macrophages. c, Bar graph displaying
the number of differentially regulated genes, using a threshold of 2X fold
change and FDR<0.05. Comparisons include both DCM and ICM samples except
when otherwise indicated. Blue: increased expression, Red: decreased expression.
d, Heat maps showing the absolute expression values of genes
that are associated with human mononuclear phagocytes (MNPs), dendritic cells,
monocytes, and macrophages. Data are shown for CCR2+ monocytes, CCR2-
macrophages and CCR2+ macrophages obtained from specimens of patients
with ICM or DCM and the results are displayed as average expression values.
e, GSEA pathway analysis revealing pathways enriched in cardiac
monocytes versus macrophages. Analysis combines ICM and DCM specimens.
Statistical significance was evaluated using false discovery rate (FDR).
Consistent with the concept that CCR2- macrophages, CCR2+
macrophages, and CCR2+ monocytes represent distinct cell types,
hierarchical clustering demonstrated that each cell population clustered tightly
together. Furthermore, CCR2+ macrophages preferentially clustered with
CCR2+ monocytes suggesting that these populations are closely related
(Fig. 3b). These data are consistent
with our finding that monocytes exclusively contribute to maintenance of
CCR2+ macrophages. Differential gene expression analysis revealed 635
genes that were differentially expressed between cardiac monocytes and
macrophages (CCR2- and CCR2+) using a threshold of 2-fold change and
FDR<0.05. Consistent with our hierarchical cluster analysis, CCR2-
macrophages had a greater number of genes (n=1160) that were
differentially expressed compared to monocytes than did CCR2+
macrophages (n=333). Of note, no differentially expressed genes were
identified in monocytes isolated from patients with DCM versus ICM (Fig. 3c).To place human cardiac monocytes and macrophages within the broader
context of what is known regarding human myeloid populations, we examined the
expression of previously described mononuclear phagocyte, dendritic cell,
monocyte, and macrophage cell markers[20, 24]. Consistent
with previous reports describing human mononuclear phagocytes, human cardiac
CCR2+ monocytes, CCR2+ macrophages, and CCR2- macrophages
uniformly expressed CD11c/ITGAX, CD14, CD11b/ITGAM, CX3CR1, and CD64/FCGR1. In
contrast, human cardiac CCR2+ monocytes, CCR2+ macrophages, and
CCR2- macrophages lacked the expression of numerous dendritic cell markers
including CD1a, CD1c, FLT3, CD207/Langerin, CD80/B7, CD5, and ZBTB46.
CCR2+ monocytes, CCR2+ macrophages, and CCR2- macrophages did
express CD86, which is found on both macrophages and dendritic cells[25]. The previously reported
monocyte cell markers SELL/L-selectin, S100A9, and S100A8 were differentially
expressed on CCR2+ monocytes compared to CCR2- and CCR2+
macrophage subsets. Other identified genes differentially expressed on
CCR2+ monocytes included S1PR3. FCAR, SERPINB2, and TNFAIP3. Consistent
with macrophage cell identity, human cardiac CCR2- and CCR2+ macrophages
displayed robust expression of MERTK, SIGLEC1, MRC1, LYVE1, MAF, TREM2, CD16,
CD32, SPP1/Osteopontin, and MARCO (Fig.
3d). GSEA pathway analysis demonstrated that genes upregulated in
monocytes displayed enrichment for pathways involved in TNF/NFκb
signaling, inflammatory response, complement, MTORC1, and interferonγ
signaling. In contrast, genes upregulated in macrophages displayed enrichment
for pathways involved in coagulation, K-RAS, IL6/STAT3, IL2/STAT5, and
inflammatory signaling (Fig. 3e).To evaluate whether human cardiac CCR2- and CCR2+ macrophages
represent functionally distinct subsets, we further examined our microarray
data. Both hierarchical clustering (Fig.
3b) and principal component analysis (Fig.
4a) demonstrated that CCR2- and CCR2+ macrophages display
distinct gene expression profiles. Differential gene expression analysis
revealed 1194 genes that were differentially expressed between CCR2- and
CCR2+ macrophages using a threshold of 1.5 fold change and
FDR<0.05. Stratification by cardiomyopathy etiology (DCM vs ICM)
revealed only 6 genes differentially regulated in CCR2+ macrophages and
4 genes differentially regulated in CCR2- macrophages, all of which were
upregulated in ICM specimens (Fig. 4b).
Genes upregulated in CCR2- macrophages included OR2A9P (pseudogene), SUV39H2
(Histone-lysine N-methyltransferase), G6PC3 (glucose-6-phosphatase catalytic
subunit 3), and ST7-OT4 (non-coding RNA). Genes upregulated in CCR2+
macrophages included TEX37 (Testis Expressed 37), GNPDA (Glucosamine-6-Phosphate
Deaminase 1), PLEKHA7 (Pleckstrin homology domain-containing family A member 7),
L3MBTL4-AS1 (antisense RNA), THC2493232 (not characterized), and LNC-TWSG1-1
(non-coding RNA).
Figure 4
CCR2- and CCR2+ macrophages display distinct gene expression
profiles
a, Principal component analysis of CCR2- (n=19) and
CCR2+ (n=19) cardiac macrophages (ICM and DCM). Red:
CCR2+ macrophages, Blue: CCR2- macrophages. b, Bar graph
displaying the number of genes that were differentially expressed between all
CCR2- and CCR2+ macrophages (DCM and ICM) and the number of genes that
were differentially expressed in CCR2- and CCR2+ macrophages stratified
by DCM and ICM designation using a threshold of 1.4X fold change and
FDR<0.05. Blue: increased expression, Red: decreased expression.
c, GSEA pathway analysis revealing pathways enriched in cardiac
CCR2+ versus CCR2- macrophages (ICM and DCM). Statistical significance
was evaluated using false discovery rate (FDR). d, Heat maps
showing relative fold changes in genes associated with chemokine and
immunomodulatory signaling, NFκb and IL6 signaling, as well as selected
growth factors, cytokines, and extracellular matrix remodeling factors. Data are
shown for CCR2+ and CCR2- macrophages obtained from specimens of
patients with ICM or DCM and the results are displayed as average expression
values. All genes displayed on the heat maps were differentially expressed
(FDR<0.05) between CCR2+ and CCR2- macrophages.
GSEA pathway analysis highlighted that genes upregulated in
CCR2+ macrophages were associated with inflammatory pathways including
TNF/NFκb signaling, inflammatory response, allograft rejection,
IL2/STAT5, IL6/STAT3, interferonγ, hypoxia and K-RAS signaling. In
contrast, genes upregulated in CCR2- macrophages were associated with epithelial
mesenchymal transition, coagulation, myogenesis, p53, and IL2/STAT5 signaling
(Fig. 4c). To more precisely gauge the
inflammatory potential of CCR2- and CCR2+ macrophage subsets, we
examined known chemokines, immunomodulators, cytokines and associated signaling
pathways. Compared to CCR2- macrophages, which differentially expressed negative
immunomodulators and tissue macrophage markers such as LILRB5, CD163, MRC1, MAF,
SIGLEC1, and LYVE1, CCR2+ macrophages expressed large numbers of
chemokines, chemokine receptors, and mediators of IL1, NFκb, and IL6
signaling. In contrast, CCR2- macrophages expressed numerous growth factors,
extracellular matrix components, and conduction genes such as IGF1, PDGFC,
EGFL7, GDF15, NRP1, SLIT3, ECM1, SDC3, SCN9A, and FGF13. CCR2+
macrophages expressed growth factors known to promote fibrosis and hypertrophy
including AREG, EREG, OSM, and PTX3[26-28] as
well as genes associated with extracellular matrix degradation such as MMP9 and
TIMP1 (Fig. 4d). Only some classic markers
of M1 and M2 macrophage phenotypes were differentially expressed between CCR2-
and CCR2+ macrophages, highlighting the limitations of this approach
(Supplemental Fig.
4). Collectively, these data support the conclusion that
CCR2+ monocytes, CCR2+ macrophages, and CCR2- macrophages
represent distinct cell types and suggest that CCR2+ monocytes and
CCR2+ macrophages likely represent inflammatory populations, while CCR2-
macrophages are enriched with genes with the potential to orchestrate tissue
repair.
CCR2+ macrophages represent an inflammatory population
To test the hypothesis that CCR2+ macrophages represent an
inflammatory population, we purified CCR2- and CCR2+ macrophages from
human LV specimens using flow cytometry based cell sorting and cultured cells
in vitro. Macrophages were then treated with either vehicle
control or the TLR4 agonist LPS. Using quantitative RT-PCR, we then measured
mRNA expression of the pro-inflammatory mediators, IL1β and CCL7.
Following stimulation with either vehicle or LPS, CCR2+ macrophages
expressed substantially higher levels of IL1β and CCL7 mRNA compared to
CCR2- macrophages. While CCR2- macrophages did display increased IL1β
and CCL7 mRNA expression following LPS treatment (compared to vehicle) the
overall magnitude of IL1β and CCL7 mRNA expression was substantially
lower than that of CCR2+ macrophages (Fig.
5a-b). Measurement of IL1β protein concentration in the cell
culture supernatant further demonstrated that CCR2+ macrophages produce
more IL1β than CCR2- macrophages (Fig.
5c).
Figure 5
CCR2+ cardiac macrophages represent an inflammatory
population
a-b, IL1β (a) and CCL7/MCP3 (b) expression in CCR2- and
CCR2+ macrophages treated with vehicle or LPS, as assessed by
quantitative RT-PCR. Asterisks denote p<0.05 (Mann Whitney test,
2-sided) compared to CCR2- macrophages. n=3 independent experiments from
4 biologically independent heart failure specimens (DCM and ICM). Data displayed
as box and whisker plots. The box denotes the 25th and 75th percentiles, the
line indicates the median value, and the whiskers reflect the minimum and
maximum values. c, IL1β secretion by cultured CCR2- and
CCR2+ macrophages, as assessed by ELISA. Each data point represents a
biologically independent replicate derived from 4 individual heart failure
specimens (DCM and ICM). Line indicates the mean values. Asterisks denote
p<0.05 (Mann Whitney test, 2-sided). d-e, Cardiomyocyte
cell death in the human myocardial slice culture system. d,
Representative images of TUNEL staining showing evidence of cardiomyocyte cell
death after 24 hours of slice culture. e, Quantification of TUNEL
staining at 24 and 48 hours of slice culture. Baseline refers to examination of
myocardial tissue immediately after slice preparation. Asterisks denote
p<0.05 (ANOVA) compared to baseline. Each data point (n=4) is
derived from a biologically independent heart failure specimen (DCM and ICM) and
lines denote mean values. f, Immunostaining for CD68 (white) and
IL1β (red) showing induction of IL1β expression in macrophages
after 24 hours of slice culture. g, IL1β, CCL7/MCP3, TNF,
and IL10 mRNA expression after 24 hours of slice culture. Data displayed as box
and whisker plots. The box denotes the 25th and 75th percentiles, the line
indicates the median value, and the whiskers reflect the minimum and maximum
values. Asterisks denote p<0.05 (Mann Whitney test) compared to
baseline. n=3 independent experiments. h, Immunostaining
for CD68 (white), CCR2 (green), and IL1b (red) indicates that IL1β is
preferentially expressed in CCR2+ macrophages. Yellow arrowheads, CCR2-
macrophages. i, Percentages of CCR2- and CCR2+ macrophages
with detectable IL1β antibody staining. Each symbol refers to data
derived from a biologically independent heart failure specimen and lines
indicate mean values. Asterisks denotes p<0.05 (Mann Whitney test) d, f:
200X magnification. h: 400X magnification. Blue: DAPI.
To provide further evidence that human cardiac CCR2+ macrophages
are pro-inflammatory, we developed a human organotypic slice culture system
based on previously described reports[29, 30]. Briefly,
human heart explants were obtained from patients undergoing cardiac
transplantation and the LV lateral wall trimmed into transmural rectangular
specimens. Using a Krumdieck Tissue Slicer, 300 μM tissue slices were
generated and cultured on semi-porous tissue culture inserts. TUNEL staining
performed 2 hours (baseline), 24 hours, and 48 hours after slice culture
revealed that 0.5±0.6, 11.5±3.1, and 10.25±3.0
cardiomyocytes per 20X field underwent cell death after 2 hours, 24 hours, and
48 hours of slice culture, respectively (Fig.
5d-e). These data indicate that while the majority of cardiomyocytes
remain viable after 48 hours slice culture, foci of cardiomyocyte cell death
reproducibly emerge within 24 hours of slice culture. As such, we took advantage
of this system to model how cardiac macrophage populations might respond to
cardiomyocyte cell death ex vivo. While it is possible that
macrophages may respond to other stimuli, this system allowed us to interrogate
macrophage behavior in their native environment.Consistent with previous studies in mouse models demonstrating that
cardiomyocyte cell death results in cardiac macrophage activation and expression
of pro-inflammatory mediators, immunostaining of human cardiac tissue slices
cultured for 24 hours revealed marked induction of IL1β expression in
CD68+ macrophages compared to baseline (Fig. 5f, Supplemental Fig. 5). Quantitative RT-PCR further demonstrated
robust increases in IL1β, CCL7, TNF, and IL10 mRNA expression in human
cardiac tissue slices cultured for 24 hours (Fig.
5g). Consistent with the conclusion that CCR2+ macrophages
represent an inflammatory subset, IL1β expression specifically
co-localized with CCR2+CD68+ cells (Fig. 5h-i).
CCR2+ macrophage abundance is associated with persistent LV systolic
dysfunction following mechanical unloading
Given that human cardiac CCR2- and CCR2+ macrophages represent
distinct macrophage subsets and likely have divergent functions, we hypothesized
that these populations may differentially impact on cardiac function and LV
remodeling. To test this hypothesis, we examined whether human cardiac
macrophage subset composition was associated with LV systolic function in a well
described cohort of patients who underwent LVAD implantation[31, 32]. Based on echocardiographic analysis, 34% of
patients within this cohort displayed sustained improvements in LV ejection
fraction (>50% relative increase) and reduced LV volumes 6
months following LVAD implantation. Using immunostaining, we measured macrophage
composition in LV specimens obtained at the time of LVAD implantation
(n=36) and at the time of transplantation (n=26). Patients were
stratified into 2 groups based on changes in LV systolic function at 6 months as
originally described: 1) persistent LV dysfunction (<50%
relative improvement in LV EF, n=18) and 2) improved LV systolic
function (>50% relative increase in LV EF or absolute
EF>40%, n=18) (Fig.
6a, Supplemental
Fig. 6). Analysis of clinical and demographic data revealed balanced
covariates between these groups and further showed that patients who experienced
improved LV systolic function displayed concomitant reductions in LV chamber
dimensions (Supplemental Table
2).
Figure 6
Macrophage subpopulations are associated with outcome following mechanical
unloading
a, Immunostaining for CD68 (green) and CCR2 (red) in myocardial
tissue specimens obtained from heart failure patients at the time of left
ventricular assist device placement (pre-LVAD) and at the time of transplant
(post-LVAD). Patients were stratified into those who displayed persistent LV
systolic dysfunction (n=17) and those who displayed improved LV systolic
function (n=18). Blue: DAPI, 200X magnification. b-c,
Numbers of total (CD68+) (b) and CCR2+
(c) macrophages in pre-LVAD and post-LVAD specimens. Mann
Whitney test (two-sided): CD68+ pre-LVAD, p=0.40 and
CD68+ post-LVAD, p=0.16. d, Percentage of
CCR2+ macrophages in pre-LVAD and post-LVAD. All data points represent
biologically independent specimens and the lines indicate mean values. Asterisks
indicate statistically significant p-values using Matt Whitney test (two-sided).
e-f, Linear regression analysis for the association of the
percentage of CCR2 macrophages and absolute changes in EF (e) and
LV systolic dimension (f) over time. Dashed lines indicate
95% confidence intervals. Asterisks denotes p<0.05. 1-β
denotes statistical power. Each data point (n=22) represents a
biologically independent sample.
Quantification of macrophage composition demonstrated that CD68+
macrophage abundance was not associated with improvements in LV systolic
function either at the time of LVAD implantation or transplantation (Fig. 6b). In contrast, both the abundance and
percentage of CCR2+ macrophages correlated with LV systolic function
following LVAD implantation. Specifically, patients who displayed improvement in
LV systolic function 6 months after LVAD implantation had lower absolute numbers
and percentage of CCR2+ macrophages both at the time of LVAD
implantation and at the time of explant (Fig.
6c-d). The percent of CCR2+ macrophages at the time of
explant was associated with absolute changes in ejection fraction and LV
systolic dimension (Fig. 6e-f).
Collectively, these findings suggest that cardiac macrophage composition is
associated with LV systolic function and cardiac remodeling following mechanical
unloading and support the concept that the human heart contains functionally
distinct subsets of macrophages that may have clinically important effects on
heart failure outcomes.
Discussion
The goal of this study was to determine whether emerging concepts of tissue
macrophage heterogeneity are translatable to humans. By examining LV myocardial
specimens obtained from patients with heart failure, we tested the hypothesis that
the human heart contains a heterogeneous population of macrophages with divergent
origins and functions. We demonstrated that the human myocardium is populated by
distinct subsets of CCR2- macrophages, CCR2+ macrophages, and CCR2+
monocytes. CCR2- macrophages represent a tissue resident population that is
maintained outside of monocyte input through local proliferation, while
CCR2+ macrophages are likely derived from monocytes and expand locally
through cell proliferation. Gene expression profiling, cell culture, and organotypic
slice culture substantiated that CCR2- macrophages and CCR2+ macrophages
represent distinct cell types with divergent reparative and inflammatory functions,
respectively. Consistent with a pathological role for CCR2+ macrophages, the
abundance of CCR2+ macrophages was associated with persistent LV systolic
dysfunction and adverse LV remodeling following mechanical unloading in heart
failure patients. Collectively, these data demonstrate that the human heart contains
distinct macrophage subsets that are functionally analogous to mouseCCR2- and
CCR2+ macrophages and provides initial evidence that human macrophage
heterogeneity is functionally important.Paradigm shifting studies have revealed that mice contain a complex and
heterogeneous array of tissue macrophages with distinct origins, life cycles, and
functions. We have previously demonstrated that mouse cardiac macrophage populations
can be divided into CCR2-MHCIIlow, CCR2-MHCIIhigh, and
CCR2+MHCIIhigh subsets. Single cell RNA sequencing of mouse
cardiac macrophages confirmed the presence of these subsets and suggested that CCR2
and MHCII expression is sufficient to resolve macrophage subset heterogeneity under
homeostatic conditions[21]. CCR2-
(MHCIIlow and MHCIIhigh) macrophages are derived from
embryonic progenitors (yolk sac and fetal monocytes), seed the heart during
development, are maintained independent of monocyte input through local
proliferation, possess minimal inflammatory potential, and display robust
pro-angiogenic activity. In contrast, CCR2+ macrophages are derived from
adult hematopoietic progenitors, maintained through
CCR2+MHCIIlowLy6Chigh monocyte recruitment and
subsequent proliferation, and dramatically increase in number following cardiac
tissue injury or in models of heart failure[8, 17, 22, 33, 34]. Recruited
CCR2+MHCIIlowLy6Chigh monocytes and
CCR2+MHCIIhigh macrophages express a broad array of
inflammatory mediators and contribute to heart failure progression through
exaggerated neutrophil and monocyte recruitment, oxidative injury, and collateral
tissue damage. Intriguingly, in the context of aging, monocyte-derived macrophages
progressively replace embryonic-derived macrophages in some tissues including the
heart[35].Similar to mouse models, myocardial specimens obtained from patients with
DCM and ICM contained CCR2- macrophages, CCR2+ macrophages, and
CCR2+ monocytes. These data are in line with previous reports that human
monocytes and monocyte-derived macrophages express CCR2[36, 37].
Consistent with mouse subsets, CCR2+ macrophages express high levels of the
MHC class II homologue, HLA-DR, while CCR2+ monocytes express low levels of
HLA-DR. One distinction between mouse and human macrophages is that mouseCCR2-
macrophages are divided into MHCIIlow and MHCIIhigh subsets,
while humanCCR2- macrophages are predominately HLA-DRhigh. To date,
beyond antigen presentation, no functional differences have been described between
mouseCCR2-MHCIIlow and CCR2-MHCIIhigh macrophages[8].HumanCCR2+ monocytes, CCR2+ macrophages, and CCR2-
macrophages uniformly expressed common markers of monocytes and macrophages (CD14,
CD64/FCGR1A, CD32/FCGR2A) and lacked the expression of known dendritic cell markers
(ZBTB46, CD1a, CD1c, CD80, CD5, Flt3)[20,
23, 24]. CCR2+ monocytes within the heart express high
levels of CD14 and low levels of CD16 suggesting that they may be most related to
human blood CD14+CD16- monocytes, the functional equivalent of mouse blood
Ly6ChighCCR2+ monocytes[24]. The presence of CCR2+ monocytes within myocardial
tissue is consistent with prior reports describing the ability of monocytes to
retain their identity and survey antigens within tissue[10]. Consistent with the paradigm that
macrophages can be distinguished from monocytes and dendritic cells based on the
expression of MerK[20, 23], human cardiac CCR2- macrophages and
CCR2+ macrophages expressed MertK on the mRNA and protein level, while
CCR2+ monocytes lacked MertK expression. Gene expression profiling
identified additional markers that distinguished tissue macrophages from monocytes.
CCR2- and CCR2+ macrophages differentially expressed SIGLEC1, MRC1, LYVE1,
MAF, TREM2, CD16, APOE, FCGBP, NFATC2, and NRP2. CCR2+ monocytes
differentially expressed SELL/CD62L, S100A12, FCAR, SERPINB2, and TNFAIP3. Whether
these markers differentiate monocytes and tissue macrophages in other organs remains
to be clarified.To decipher the contribution of monocyte recruitment to the maintenance of
humanCCR2- and CCR2+ macrophages, we examined patients who underwent sex
mismatched heart transplantation (male patients who received a female heart).
Subjects had normal allograft function, were free from rejection, and underwent
transplantation >1 year prior to routine surveillance endomyocardial biopsy.
While transplant studies are influenced by exposure to immunosuppressive
medications, this analysis revealed that similar to mouseCCR2- macrophages, humanCCR2- macrophages exist independent of monocyte input. In contrast, monocyte
recruitment contributed to maintenance of at least a subset of humanCCR2+
macrophages. Cell proliferation appeared to be an important mechanism for both CCR2-
and CCR2+ macrophages. These data are consistent with described repopulation
dynamics of mouseCCR2- and CCR2+ macrophage subsets. Of note, these
findings do not provide meaningful information regarding the rate of CCR2+
macrophage turnover and thus do not exclude the possibilities that CCR2+
macrophages may represent a long lived monocyte-derived population or that
CCR2+ macrophages may represent a mixed population of newly recruited and
long-lived monocyte-derived macrophages.Gene expression profiling revealed several features that were shared between
mouse and human cardiac macrophages. Both mouse and humanCCR2- macrophage subsets
expressed higher levels of tissue resident macrophage markers (MRC1, CD163, SIGLEC1,
LYVE1) and growth factors (IGF1, PDGF-C) compared to human and mouseCCR2+
macrophages. HumanCCR2- macrophages differentially expressed several other growth
factors and extracellular matrix genes implicated in tissue morphogenesis and
remodeling. Consistent with a recently described role in electrical
conduction[21], humanCCR2-
macrophages expressed the sodium channel SCN9A and sodium channel modulator FGF13.
Conversely, human and mouseCCR2+ macrophages selectively expressed
inflammatory mediators including monocyte and neutrophil chemokines, the
inflammatory cytokine IL1β, and associated components of the
inflammasome[8, 17, 19, 21]. HumanCCR2+ macrophages
also differentially expressed several genes implicated in adverse cardiac remodeling
including MMP9, TIMP1, PTX3, EREG, and OSM[26–28, 38].Consistent with a role for CCR2+ macrophages in inflammation,
adverse remodeling and heart failure pathogenesis, isolated CCR2+
macrophages produced robust quantities of IL1β following either LPS
stimulation or exposure to necrotic cardiomyocytes. In contrast, mouse and humanCCR2- macrophage displayed markedly less inflammatory activity[17]. Importantly, humanCCR2+ macrophage
abundance was associated with worsened LV systolic dysfunction and adverse
remodeling in heart failurepatients. Together, these observations suggest that
interventions that target CCR2+ macrophages, may represent a favorable
approach to suppress inflammation and adverse remodeling in the context of heart
failure. In addition, the finding that mouse and humanCCR2+ macrophages are
functionally analogous implies that dissecting mechanisms by which mouseCCR2+ macrophages are activated and exert their inflammatory effects is
translationally relevant and will likely lead to critical insights into the
development of effective strategies to intervene on the inflammatory functions of
humanCCR2+ macrophages.Prior studies have provided clues to suggest that macrophage heterogeneity
may be applicable to other human tissues. Examination of transplant recipients has
suggested that admixtures of resident and recruited macrophage populations exist in
human skin and lung[39-42]. Further evidence supporting the
existence of tissue resident populations in the skin is provided by examination of
patients with deficiencies in bone marrow myelopoiesis. Subjects carrying either
GATA2 or biallelic IRF8 mutations demonstrate preservation of epidermal Langerhans
cells and dermal macrophages despite marked impairments in peripheral monocyte and
dendritic cell differentiation[43-45]. Outside
of these early studies, little is known regarding human tissue mononuclear phagocyte
diversity and function. Intriguingly, a recent study exploring human lung
mononuclear phagocytes obtained from explanted lung specimens identified immense
diversity among lung monocyte, macrophage, and dendritic cell subsets[46]. Future studies will undoubtedly
delineate whether other human tissues harbor heterogeneous mononuclear phagocyte
populations with unique or differing recruitment dynamics and functions.We acknowledge that there are important limitations to our study. In
contrast to mouse models, it is not possible to perform lineage tracing or detailed
cell tracking studies in humans. As a result, we are not able to make any meaningful
conclusions regarding macrophage ontogeny as it relates to embryonic or adult
hematopoietic origins. However, by examining sex mismatch transplant recipients, we
are able to gain valuable insights into resident versus recruited populations. Even
though in situ hybridization may underestimate the number of
recipient derived macrophages, we believe that the robust differences observed
between populations indicate that CCR2- macrophages are a tissue resident population
and CCR2+ macrophages are replenished through monocyte recruitment. We also
recognize that inferences regarding macrophage function are limited to gene
expression, in vitro assays, and clinical associations in a
relatively small sized cohort of patients.In conclusion, we have demonstrated that the human heart contains distinct
macrophage subsets with differing repopulation dynamics and gene expression profiles
that are functionally analogous to tissue resident CCR2- and inflammatory
monocyte-derived CCR2+ macrophages found in the mouse heart. Our findings
provide evidence that macrophage heterogeneity is functionally important in the
human heart and suggest that therapeutics targeting inflammatory functions of
CCR2+ macrophages may represent a novel therapeutic target for patients with
heart failure.
Materials and Methods
Study Approval
This study was approved by the Washington University in St. Louis
Institutional Review Board (#201305086). All subjects provided informed
consent prior to sample collection and the experiments were performed in
accordance with the approved study protocol.
Pathologic Specimens used for immunostaining and flow cytomertry
Cardiac tissue specimens were obtained from adult patients with DCM
(idiopathic and familial) and ICM undergoing LVAD implantation or cardiac
transplantation. Patients with secondary causes of DCM including cardiac
amyloidosis, cardiac sarcoidosis, viral myocarditis, giant cell myocarditis,
peripartum cardiomyopathy, chemotherapy associated cardiomyopathy, and complex
congenital heart disease were excluded from this study. In addition, patients
with established autoimmune disease, active infections, HIV, and hepatitis C
were excluded. Tissues consisted of transmural specimens obtained from the
apical or lateral wall of the LV. Explanted hearts were flushed by cannulating
the left and right coronary artery ostia and perfusing 200ml of cold saline.
LVAD apical cores were flushed by cannulating an epicardial vessel and perfusing
50ml of cold saline. Specimens were then immersed in cold saline and were either
immediately flash frozen or fixed in 10% formalin upon collection to
preserve tissue integrity.
Flow cytometry
To generate single cell suspensions, saline perfused cardiac tissue
specimens were finely minced, and digested in DMEM with Collagenase type 1
(450 U/ml) Hyaluronidase (60 U/ml) and DNase I (60 U/ml) for 1 hour at
37°C. All enzymes were sourced from Sigma. Digested samples were
then filtered through 40 μM cell strainers and washed with cold HBSS
that was supplemented with 2% FBS and 0.2% BSA. Red blood
cell lysis was performed with ACK lysis buffer (Thermo Fisher Scientific).
Cells were washed with HBSS and resuspended in 100 μL of FACS buffer
(DPBS containing 2% FBS and 2 mM EDTA). For monocyte and macrophage
sorting, cells were then stained with CD45-PercpCy5.5 (2D1), CD14-PE (M5E2),
CD64-FITC (10.1), CCR2-APC (K036C2), and HLA-DR APC/Cy7 (L243) at
4°C for 30 minutes in the dark. Stained single cell suspensions were
washed twice with FACS buffer and resuspended in a 0.35 ml volume. DAPI was
used to exclude dead cells. For Intracellular flow cytometry, myocardial
tissue was processed as outlined above to generate a single cell suspension.
Following labeled with appropriate cell surface antibodies, cells were fixed
(PFA, Biolegend 420801) and permeablized (Permeabilization Wash Buffer)
Biolegend 421002) and stained for CD68. FACS analysis and sorting was
performed on BD LSR II and BD FACSAria™III platforms. A complete
list of antibodies is shown in Supplemental Table 3.
Immunohistochemistry
Paraffin embedded sections were dewaxed in xylene, rehydrated,
endogenous peroxide activity quenched in 10% methanol and 3%
hydrogen peroxide, processed fro antigen retrieval by boiling in citrate
buffer pH 6.0 containing 0.1% Tween-20, blocked in 1% BSA,
and stained with the following primary antibodies overnight at 4 degrees C:
CD68 (KP1 eBiosceince 1:2000), CCR2 (7A7 Abcam 1:2000), CD34 (Q/bend1 Abcam
1:2000), Collagen 1 (COL-1 Abcam 1:2000), IL-1β (NB600-633 NOVUS
1:2000), Ki67 (ab15580 Abcam 1:1000), CD14 (ab183322 Abcam 1:2000), CD64
(ab119843 Abcam 1:4000), iNOS (ab76198 Abcam 1:1000), HLA-DR (clone L243
Biolegend 1:1000). The primary antibody was detected using a biotin
conjugated anti-mouse or anti-rabbit secondary antibodies (Vector Labs) in
conjunction with streptavidin HRP (ABC Elite, Vector Labs). The PerkinElmer
Opal Multicolor IHC system was utilized to visualize antibody staining per
manufacturer protocol. TUNEL staining (Roche) was performed per
manufacturer’s protocol. Immunofluorescence was visualized on a
Zeiss confocal microscopy system. Macrophages were quantified by examining
at least 4 similarly oriented sections from 4 independent samples in blinded
fashion.
Microarray
To isolated RNA, macrophages were directly sorted into QLT buffer
containing 2-mercaptoethanol and RNA isolated using the RNeay micro kit
(Qiagen) per manufacturer’s instructions. Gene expression profiling
was performed using microarray analysis in collaboration with the Genome
Technology Access Core at Washington University. RNA was amplified using the
WTA (Sigma) system and hybridized to Agilent 8×60 gene chips. Data
analysis was performed using Partek genome suite software.
Transplant specimens and in situ hybridization
To identify sex mismatched patients who underwent cardiac
transplantation, we performed a retrospective analysis of all patients who
either received a cardiac transplant at Barnes Jewish Hospital between 1994
and 2008 or received a heart transplant elsewhere and were followed in our
post-transplant program between 1994 and 2008. Male patients who received a
heart from a female donor were included. Exclusion criteria included any
episode of >2R/3A rejection, prior or ongoing antibody mediated
rejection, established cardiac allograft vasculopathy, or LV ejection
fraction <60%. Standard demographic information was obtained
from the medical record including age, sex, reason for transplantation,
cardiovascular comorbidities, transplant and heart failure medicines,
rejection episodes, CMV status, blood type, echocardiographic data, stress
testing, LV end diastolic pressure, heart rate and blood pressure as derived
from diagnostic catheterization data.Myocardial biopsy specimens that were previously collected for
routine clinical care were obtained from the department of pathology.
Collected tissues were previously fixed in 10% formalin and stored
in paraffin blocks. For each patient, the most recent biopsy specimen was
obtained. Myocardial biopsy specimens were cut into 4 micron sections using
standard techniques and mounted on glass slides. Each paraffin block
typically contained 3-4 myocardial specimens. Immunohistochemistry was
performed for CCR2 and CD68 as outlined above using the PerkinElmer Opal
Multicolor IHC kit. In situ hybridization for Y-chromosomes (STARFISH) was
performed after IHC using a biotinylated probe per manufacturer’s
instructions. The biotin conjugated probe was detected using
streptavidin-FITC and visualized on a Zeiss confocal microscopy system.
Macrophages were quantified by examining at least 4 sections from each
independent sample in blinded fashion.
Organotypic Slice Culture
To prepare cardiac slices, Krumdieck Tissue Slicer (Alabama Research
and Development) was used. Tissue was first placed in tissue embedding unit
containing 4% low melting agarose dissolved in HBSS and allowed to
set at 4°C. The embedding unit was then placed on to the sample
holder of the microtome assembly. The reservoir was filled with ice cold
HBSS (without calcium and magnesium). The arm and blade speed were set to
medium speed, and thickness of the slices were set to 300 μM.
Following slice generation and collection, slices were then cultured at a
liquid–air interface using semi-porous tissue culture inserts
(Millipore). Inserts containing cardiac tissue slices were placed in a six
well tissue culture plate with 1 mL of IMDM supplemented with 20%
FBS and 1% penicillin/streptomysin. Slices were cultured for 24-48
hours at 37°C in humidified air with 5% CO2.
Macrophage cell culture
CCR2+ and CCR2- macrophages were purified from myocardial
tissue using flow cytometry as described above. Cells were sorted on a BD
FACSAria™III platform with 85 μM nozzle and flow rate set to
1 μL/min. The pre- and post- sort collection tube holders were
maintained at 4°C to preserve cell viability. Cells were sorted
directly into culture medium (DMEM Supplemented with 10% FBS and
1% penicillin/streptomysin) and immediately plated into 96 well
tissue culture plates and allowed to adhere overnight. The following day,
fresh media was added and cells were stimulated with vehicle control or LPS
(10 ng/ml) for 6 hours. IL1β concentration in the tissue culture
supernatant was measured using the humanIL1β Quantikine HS ELISA
kite (R&D systems).
cDNA amplification and RT-PCR
RNA was extracted from the cardiac slices or cultured cells using
the RNeasy RNA micro kit (Qiagen). RNA concentration was measured using a
nanodrop spectrophotometer (ThermoFisher Scientific). For cardiac slices,
cDNA synthesis was performed using the High Capacity RNA to cDNA synthesis
kit (Applied Biosystems). For cultured macrophages, cDNA was synthesized
using the iScript™ Reverse Transcription Supermix (Bio-Rad) and
pre-amplified using the Sso Advanced PreAmp Supermix kit (Bio-Rad).
Quantitative real time PCR reactions were prepared with sequence-specific
primers (IDT) with PowerUP™ Syber Green Master mix (ThermoFisher
Scientific) in a 20 μL volume. Real time PCR was performed using
QuantStudio 3 (ThermoFisher Scientific). mRNA expression was normalized to
β2 Microglobulin (B2M). IL-1β: Forward ATG CAC CTG TAC GAT
CAC TG, Reverse ACA AAG GAC ATG GAG AAC ACC; CCL7: Forward AGA CCA AAC CAG
AAA CCT CC, Reverse AGT ATT AAT CCC AAC TGG CTG AG; IL-10: Forward CGC ATG
TGA ACT CCC TGG, Reverse TAG ATG CCT TTC TCT TGG AGC; TNF: Forward ACT TTG
GAG TGA TCG GCC, Reverse GCT TGA GGG TTT GCT ACA AC; β2M: Forward
TGC TGT CTC CAT GTT TGA TGT ATC T, Reverse TCT CTG CTC CCC ACC TCT AAG.
Statistical Analysis
Fisher’s exact and Mann Whitney tests were used to identify
statistically significant differences between groups. Data are presented as
dot plots, box whisker plots, or linear regression plots generated in PRISM.
The exact sample size used to calculate statistical significance is stated
in the appropriate figure legend. Replicates were defined as individual
human specimens or experiments and described in the figure legends.
Data Availability
Source Data for all experiments have been provided. All other data
are available from the corresponding author on reasonable request.
Microarray data was deposited in GEO (GSE112630). Additional details can be
found in the Life Sciences Reporting Summary.
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Authors: Wenjun Li; Hsi-Min Hsiao; Ryuji Higashikubo; Brian T Saunders; Ankit Bharat; Daniel R Goldstein; Alexander S Krupnick; Andrew E Gelman; Kory J Lavine; Daniel Kreisel Journal: JCI Insight Date: 2016-08-04
Authors: Nikolaos A Diakos; Craig H Selzman; Frank B Sachse; Josef Stehlik; Abdallah G Kfoury; Omar Wever-Pinzon; Anna Catino; Rami Alharethi; Bruce B Reid; Dylan V Miller; Mohamed Salama; Alexey V Zaitsev; Junko Shibayama; Hui Li; James C Fang; Dean Y Li; Stavros G Drakos Journal: J Am Coll Cardiol Date: 2014-10-14 Impact factor: 24.094
Authors: A Nicole Desch; Sophie L Gibbings; Rajni Goyal; Raivo Kolde; Joe Bednarek; Tullia Bruno; Jill E Slansky; Jordan Jacobelli; Robert Mason; Yoko Ito; Elise Messier; Gwendalyn J Randolph; Miglena Prabagar; Shaikh M Atif; Elodie Segura; Ramnik J Xavier; Donna L Bratton; William J Janssen; Peter M Henson; Claudia V Jakubzick Journal: Am J Respir Crit Care Med Date: 2016-03-15 Impact factor: 21.405
Authors: Guillaume Hoeffel; Yilin Wang; Melanie Greter; Peter See; Pearline Teo; Benoit Malleret; Marylène Leboeuf; Donovan Low; Guillaume Oller; Francisca Almeida; Sharon H Y Choy; Marcos Grisotto; Laurent Renia; Simon J Conway; E Richard Stanley; Jerry K Y Chan; Lai Guan Ng; Igor M Samokhvalov; Miriam Merad; Florent Ginhoux Journal: J Exp Med Date: 2012-05-07 Impact factor: 14.307
Authors: Martin Guilliams; Ismé De Kleer; Sandrine Henri; Sijranke Post; Leen Vanhoutte; Sofie De Prijck; Kim Deswarte; Bernard Malissen; Hamida Hammad; Bart N Lambrecht Journal: J Exp Med Date: 2013-09-16 Impact factor: 14.307
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Authors: Coert J Zuurbier; Antonio Abbate; Hector A Cabrera-Fuentes; Michael V Cohen; Massimo Collino; Dominique P V De Kleijn; James M Downey; Pasquale Pagliaro; Klaus T Preissner; Masafumi Takahashi; Sean M Davidson Journal: Cardiovasc Res Date: 2019-06-01 Impact factor: 10.787