Article
Dynamics of Cell Generation and Turnover in the
Human Heart
Graphical Abstract
Authors
Olaf Bergmann, Sofia Zdunek,
Anastasia Felker, ..., Stefan Jovinge,
Henrik Druid, Jonas Frisén
Correspondence
[email protected] (O.B.),
[email protected] (J.F.)
In Brief
A comprehensive analysis of cell
generation and turnover in the human
heart demonstrates that cardiomyocyte
numbers are constant throughout the
human lifespan, with a low turnover rate.
Endothelial and mesenchymal cells are
exchanged at a high rate, and their
numbers increase into adulthood.
Highlights
d
The number of cardiomyocytes remains constant during the
human lifespan
d
Endothelial and mesenchymal cells increase into adulthood
and show high turnover
d
Cardiomyocyte turnover decreases exponentially with age
and is <1% per year in adults
d
The cardiomyocyte turnover rate is equal in the main
subdivisions of the human heart
Bergmann et al., 2015, Cell 161, 1566–1575
June 18, 2015 ª2015 Elsevier Inc.
http://dx.doi.org/10.1016/j.cell.2015.05.026
Article
Dynamics of Cell Generation
and Turnover in the Human Heart
Olaf Bergmann,1,15,* Sofia Zdunek,1,15 Anastasia Felker,1 Mehran Salehpour,2 Kanar Alkass,1,3 Samuel Bernard,4
Staffan L. Sjostrom,1 Miros1awa Szewczykowska,5 Teresa Jackowska,5,6 Cris dos Remedios,7 Torsten Malm,8
Michaela Andrä,9 Ramadan Jashari,10 Jens R. Nyengaard,11 Göran Possnert,2 Stefan Jovinge,12,13,14 Henrik Druid,3
and Jonas Frisén1,*
1Department
of Cell and Molecular Biology, Karolinska Institute, 171 77 Stockholm, Sweden
of Ion Physics, Department of Physics and Astronomy, Uppsala University, 751 20 Uppsala, Sweden
3Department of Forensic Medicine, Karolinska Institute, 171 77 Stockholm, Sweden
4Department of Mathematics, Institut Camille Jordan, Université de Lyon, 69622 Villeurbanne Cedex, France
5Department of Pediatrics, Bielanski Hospital, 01-809 Warsaw, Poland
6Department of Pediatrics, Medical Center of Postgraduate Education, 01-813 Warsaw, Poland
7Discipline of Anatomy, Bosch Institute, University of Sydney, Sydney, NSW 2006, Australia
8Department of Paediatric Cardiac Surgery, Skåne University Hospital, 221 85 Lund, Sweden
9Klinikum Klagenfurt & Section for Surgical Research, Department of Cardiothoracic and Vascular Surgery, Medical University Graz,
9020 Graz, Austria
10European Homograft Bank, 1120 Brussels, Belgium
11Stereology and Electron Microscopy Laboratory, Centre for Stochastic Geometry and Advance Bioimaging, Aarhus University,
8000 Aarhus, Denmark
12Spectrum Health Frederik Meijer Heart & Vascular Institute, Grand Rapids, MI 49503, USA
13Van Andel Institute, Grand Rapids, MI 49503, USA
14Stem Cell Center, Lund University, 221 84 Lund, Sweden
15Co-first author
*Correspondence:
[email protected] (O.B.),
[email protected] (J.F.)
http://dx.doi.org/10.1016/j.cell.2015.05.026
2Division
SUMMARY
The contribution of cell generation to physiological
heart growth and maintenance in humans has been
difficult to establish and has remained controversial.
We report that the full complement of cardiomyocytes is established perinataly and remains stable
over the human lifespan, whereas the numbers of
both endothelial and mesenchymal cells increase
substantially from birth to early adulthood. Analysis
of the integration of nuclear bomb test-derived 14C
revealed a high turnover rate of endothelial cells
throughout life (>15% per year) and more limited
renewal of mesenchymal cells (<4% per year in adulthood). Cardiomyocyte exchange is highest in early
childhood and decreases gradually throughout life
to <1% per year in adulthood, with similar turnover
rates in the major subdivisions of the myocardium.
We provide an integrated model of cell generation
and turnover in the human heart.
INTRODUCTION
Loss of cardiomyocytes after a cardiac infarction or in heart
failure is largely irreversible and constitutes a major health
burden. Promotion of an endogenous regenerative capacity is
an attractive concept for cell replacement. However, conflicting
data regarding both the origin of new cardiomyocytes (Bersell
1566 Cell 161, 1566–1575, June 18, 2015 ª2015 Elsevier Inc.
et al., 2009; Ellison et al., 2013; Hsieh et al., 2007; Senyo
et al., 2013; Uchida et al., 2013; van Berlo et al., 2014) and
the extent of cell generation (Bergmann et al., 2009; Hosoda
et al., 2009; Kajstura et al., 2010a, 2010b; Malliaras et al.,
2013; Mollova et al., 2013) have made it difficult to assess if
this is a rational and realistic prospect. The extent of cell generation in the human heart is one of the key questions in regenerative medicine and probably the one most difficult on which
to reach a consensus.
Studies in mice have demonstrated that there is a dramatic
drop in the generation of new cardiomyocytes the first few
days after birth (Soonpaa et al., 1996; Walsh et al., 2010). A
recent study suggested that an exception to this is a short burst
of cardiomyocyte generation in juvenile mice, resulting in a
doubling in the number of cardiomyocytes (Naqvi et al., 2014).
In humans, a 3.4-fold increase in the number of cardiomyocytes
from 1 to 20 years of age was recently reported (Mollova et al.,
2013), whereas the development of the number of cells of
the other main cell lineages in the myocardium has not been
described.
The extent of cardiomyocyte exchange in the adult heart has
been much debated, with estimates ranging between no turnover to all cardiomyocytes being exchanged every few years
(for review, see Bergmann and Jovinge, 2014). Reports of relatively high numbers of cardiomyocytes with either apoptotic or
mitotic markers in the adult human heart led to the conclusion
that there must be substantial turnover of these cells (Beltrami
et al., 2001; Kajstura et al., 2010a), but other studies have failed
to reproduce high frequencies of potentially dividing cells (Mollova et al., 2013). Regardless, any estimate of cell turnover based
B
500000
Number of
cardiomyocyte nuclei (109)
Cardiomyocyte nuclei/mm3
A
400000
300000
200000
100000
1
4
2
10 20 30 40 50 60 70 80
Age (years)
C
Mono
Bi
Tri
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30 40 50
Age (years)
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30 40 50
Age (years)
60
70
80
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0
9 12 19 30 42 43 50 71
F
Left ventricular volume
Cardiomyocyte volume
Average DNA content
per nucleus (%)
Volume increase (fold change)
15
10
6
Age (years)
20
0
D
Number of cardiomyocytes (109)
100
Nuclei per cardiomyocyte (%)
6
0
0
0
E
Figure 1. Cardiomyocyte Number, Volume,
and DNA Content in Growing and Adult
Hearts
8
220
200
(A) The density of cardiomyocyte nuclei declines in
growing hearts and remains constant during aging.
(B) The number of cardiomyocyte nuclei in the left
ventricle, calculated using the reference volume
(see the Experimental Procedures), is stable
postnatally.
(C) The ratio of mononucleated to multinucleated
cardiomyocytes is already established at birth.
(D) Based on the number of cardiomyocyte nuclei
and the level of multinucleation, the number of
cardiomyocytes does not change significantly in
growing hearts or with age (R = 0.01; p = 0.96).
(E) Comparison between left ventricular volume
increase (black dots and black regression line) and
average increase in cardiomyocyte volume (white
dots and dashed regression line). Regression
curves do not show any significant difference between the groups (p = 0.67; ANCOVA).
(F) Human cardiomyocyte nuclei are mostly diploid
at birth and start to ploidize mainly in the second
decade of life (100% corresponds to diploid nuclei;
200% corresponds to tetraploid nuclei). Red data
points indicate females, and blue data points
indicate male subjects. Dashed lines indicate the
prediction interval (long dashes) and the confidence interval (short dashes).
See also Figure S1.
180
160
140
nucleation, polyploidization, and cell volume increase, all of which may influ100
0
ence the analyses in different ways. We
0
10
20
30
40
50
60
70
80
0
5
10
15
20
25
have analyzed all of these parameters
Age (years)
Age (years)
and have birth dated cells by analyzing
genomic 14C concentration, and we proon the presence of markers associated with cell division or death vide an integrated model of heart cell generation and turnover
rests on assumptions of, for example, the length of the cell cycle in humans.
or the apoptotic process. Moreover, based on marker expression, it is not possible to deduce whether a cell indeed will go RESULTS
on to divide or die.
Cell generation is studied in experimental animals by pro- A Constant Number of Cardiomyocytes in Humans
spectively labeling dividing cells with, for example, thymidine We determined the number of cardiomyocytes by stereology
analogs, but it is challenging to use this strategy in humans. in the postmortem heart from 29 subjects, without any history
One study in cancer patients receiving the thymidine analog or sign of heart pathology, aged one month to 73 years (see
IdU as a radiosensitizer concluded that 22% of the cardio- the Experimental Procedures; Figure S1A). It is challenging to
myocytes are exchanged annually (Kajstura et al., 2010b). delineate individual cardiomyocytes in tissue sections (Ang
Another strategy for birth dating cells relies on analyzing incor- et al., 2010), especially in the perinatal period when the cell
poration of nuclear bomb test-derived 14C into genomic DNA density is very high. We therefore used antibodies to the cardio(Spalding et al., 2005), and this approach indicated a much myocyte nuclear marker pericentriolar material 1 (PCM-1) to
lower turnover rate in humans, with the majority of cardiomyo- circumvent this problem (Bergmann et al., 2011). We obtained
cytes never being exchanged even during a long life (Bergmann the reference volume of the left ventricle, either by direct measurements (n = 12) or by estimation based on echocardiography
et al., 2009).
It is important to establish the magnitude of heart cell gener- and MRI data (n = 17) (Experimental Procedures; Figures S1D
ation and renewal in the growing and adult heart, not least and S1E). The density of myocyte nuclei decreased from
when considering the development of therapeutic strategies 430,000 ± 72,000/mm3 (mean ± SD) shortly after birth to
to promote regeneration. One reason why it has been difficult 28,000 ± 7,200/mm3 in subjects aged 20 to 73 (Figure 1A). The
to assess cell numbers and exchange rate in the heart is that neonatal cardiomyocyte density reported in this study is in
there are several processes occurring in parallel, such as multi- good agreement with studies by Mayhew et al. (409,000/mm3)
5
120
Cell 161, 1566–1575, June 18, 2015 ª2015 Elsevier Inc. 1567
and by Mandarim-de-Lacerda et al. (1997), who reported a density of 574,000/mm3 in the third trimester of pregnancy (Mayhew
et al., 1997). The resultant total number of myocyte nuclei did not
show any age- (Pearson’s r = 0.01; p = 0.96) or gender-related
(two-sample t test; p = 0.10) differences (Figure 1B).
We found that 73.6% ± 7.0% of all cardiomyocytes were
mononucleated; 25.5% ± 7.4% were binucleated; and 1.0% ±
1.2% were trinucleated (Figure 1C), in agreement with previous
studies (Mollova et al., 2013; Olivetti et al., 1996). This ratio did
not change substantially during heart growth or aging. Taking
multinucleation into account, we established that already
1 month after birth (youngest analyzed subject), the final number
of cardiomyocytes was reached (3.2 3 109 ± 0.75 3 109 cells)
and remained constant over the lifetime (Pearson’s r = 0.01,
p = 0.96; Figure 1D). This was independently corroborated by
birth-dating analysis (see below). This result is in stark contrast
to the recently reported 3.4-fold increase in cardiomyocyte number between 1 and 20 years of age (Mollova et al., 2013). The
identification of cardiomyocyte nuclei in tissue sections is challenging (Ang et al., 2010; Soonpaa and Field, 1998). Strategies
relying only on cytoplasmic or membranous cardiomyocyte
markers (Mollova et al., 2013) do not allow an unequivocally
identification of cardiomyocyte nuclei (Figures S1B and S1C)
and therefore might introduce a quantification bias. It is likely
that our use of a myocyte-specific nuclear marker allows for
accurate identification and quantification of cardiomyocytes.
In order to determine the contribution of the increase in cardiomyocyte volume to the growth of the human heart, we stereologically measured the average volume of cardiomyocytes at
different ages (Figure S1F; Experimental Procedures). We found
that the growth of the left ventricle could fully be explained by the
volume increase of cardiomyocytes (ANCOVA; p = 0.71)
(Figure 1E). This was based on the relative volume of the left
ventricle and cardiomyocytes, respectively, with age (in relation
to LVmonth 0–6: 12.4 g ± 3.4 g SD and CMmonth 0–6: 2,557 mm3 ±
666 mm3 SD), indicating a mainly hypertrophic growth of the
human left ventricle with the full complement of cardiomyocytes
being established in the perinatal period.
The Cardiomyocyte DNA Content Increases during the
Second Decade of Life
Many cardiomyocyte nuclei undergo DNA synthesis to become
polyploid in humans (Adler, 1991; Bergmann et al., 2009; Herget
et al., 1997; Mollova et al., 2013). Also, this has, however, been
somewhat controversial, with one recent study concluding that
the vast majority of cardiomyocyte nuclei in humans remain
diploid throughout life (Kajstura et al., 2010b). As DNA synthesis
during polyploidization influences the interpretation of any cell
proliferation analysis, it is important to establish the kinetics of
this process. We revisited the DNA content of human cardiomyocyte nuclei at different ages by flow cytometry.
We found that almost all human cardiomyocyte nuclei are
diploid during the first years of life (Figure 1F). However, mainly
during the second decade of life, the average DNA content per
nucleus increases approximately 1.7-fold in the left ventricle,
and thereafter it remains constant over the lifetime (n = 29; Pearson’s r = 0.09; p = 0.68; Figure 1F). The right ventricle displays
a slightly lower ploidy increase, 1.6-fold, compared to the left
1568 Cell 161, 1566–1575, June 18, 2015 ª2015 Elsevier Inc.
ventricle (p < 0.001; two-sample t test), which reaches into the
third decade of life and remains constant thereafter (n = 19; Pearson’s r = 0.32; p = 0.29; Figure S1G). Our analysis revealed that
polyploidization occurs slightly later and for a more extended
period than previously suggested by histological analysis (Adler,
1991). We did not find any significant differences in the nuclear
ploidy within the left ventricle, comparing the apical and basal
part of the left ventricle (paired t test; p = 0.68) or comparing
the myocardial layers toward the endocardium with the layers
toward the epicardium (paired t test; p = 0.92) (Figure S1H).
The Number of Endothelial and Mesenchymal Cells in
the Myocardium Increases into Adulthood in Humans
Next, we made a stereological quantification of the number of
endothelial cells, identified by binding of the lectin Ulex Europaeus lectin I (UEA I) (Conrad-Lapostolle et al., 1996), and
mesenchymal cells, identified by the absence of markers for cardiomyocytes and endothelial cells (PCM-1 and UEA I negative)
(Figure S2A). Mesenchymal cells comprise cells residing in the
interstitium of the heart, including fibroblasts, pericytes, and
smooth muscle cells, which are labeled with neither cardiomyocyte nor endothelial cell markers (Figure S2B). Approximately
99% of the cells in the PCM-1- and UEA I-negative fraction
can be labeled by a mesenchymal cell marker combination,
with antibodies against PDGFR-beta, fibroblast-specific protein 1, and smooth muscle actin (Figure S2B). However, 2.8%
of the cells within the PCM-1- and UEA I-negative fraction
express the lymphocyte common antigen CD45 (Figure S2C),
and some of those CD45-positive cells co-express a mesenchymal lineage marker (PDGFR-beta, fibroblast-specific protein 1, and/or smooth muscle actin) (Figure S2D). The measured
fraction of CD45-positve cells is however not large enough to
significantly impact the interpretation of the 14C measurements
of the mesenchymal cell compartment (mesenchymal 14C increases in average by only 2.8 units). This is based on the fact
that mesenchymal cells are relatively young and that CD45-positive cells are of contemporary 14C.
In the postnatal period, the majority of cell nuclei in the
human left ventricle are cardiomyocyte nuclei (66% ± 1.7%;
mean ± SD). During heart growth, the number of cardiomyocyte
nuclei and cardiomyocytes remains constant, while the number
of endothelial and mesenchymal cells expands 6.5- and
8.2-fold, respectively (Figures 2A and 2B), leading to an average
of 18% ± 3.0% cardiomyocytes, 24% ± 4.7% endothelial cells,
and 58% ± 5.6% mesenchymal cells in young adults. During
aging, the endothelial and mesenchymal cell counts show
declining trends (Pearson’s r = 0.58; p = 0.10 and r = 0.56;
p = 0.09, respectively; Figures 2A and 2B).
Isolation and Carbon Dating of Cell Nuclei from the
Human Heart
Cell nuclei were isolated from human postmortem hearts and
incubated with antibodies against PCM-1 and UEA I. Cardiomyocyte (PCM-1-positive), endothelial (UEA I-positive), and
mesenchymal (PCM-1- and UEA I-negative) cell nuclei were
isolated by flow cytometry (Figure 3; Figure S3; the Experimental Procedures) (Bergmann and Jovinge, 2012; Bergmann
et al., 2011). UEA I binds specifically to human endothelial cells,
B
Endothelial Cells
7
Figure 2. Postnatal Expansion of the Endothelial and Mesenchymal Cell Populations
Mesenchymal Cells
16
14
6
Number of cells (109)
Number of cells (109)
A
5
4
3
2
1
(A and B) The number of endothelial and mesenchymal cells increases in growing hearts and
declines modestly thereafter. Dashed lines indicate the prediction interval (long dashes) and the
confidence interval (short dashes).
See also Figure S2.
12
10
8
6
4
2
0
0
0
10
20
30
40
50
60
70
80
0
10
20
30
Age (years)
and we found that UEA I not only binds to the endothelial cell
membrane but also binds to the nucleus of cardiac endothelial
cells (Figures 3B–3F). The adult human ventricles comprise
33% ± 15% (mean ± SD) cardiomyocyte nuclei, 24% ± 9.5%
endothelial nuclei, and 43% ± 10% mesenchymal nuclei,
proportions similar to those found in the stereological analysis (see above). The isolated nuclear populations were reanalyzed, and the purity of cardiomyocyte (96% ± 2.0%),
endothelial (94% ± 5.4%), and mesenchymal nuclei (97% ±
5.7%) was determined (Figures S3A–S3C). Genomic DNA
was isolated from the different cell populations, and the 14C
concentration was measured by accelerator mass spectrometry. 14C concentrations were compensated for flow cytometry
isolation impurities in the cell populations as described in the
Experimental Procedures.
It is important to consider whether our isolated nuclei accurately reflect the cell populations in the heart or if there is an isolation bias for subtypes with different turnover kinetics. To assess
that, we carbon dated not only genomic DNA from the isolated
cell populations but also genomic DNA from non-sorted cardiac
cell nuclei, as well as genomic DNA extracted directly from
the myocardium. We calculated weighted 14C averages of individual sorted populations (cardiomyocytes, endothelial, and
mesenchymal cells) and compared those calculated 14C values
to the two other measurements. We did not find any significant
differences in either of the approaches (p = 0.31 and p = 0.76,
respectively, paired t test), indicating that 14C-dated cardiac
populations accurately represent the actual distribution in the
heart (Figure S3D). Moreover, we verified that isolating cardiomyocyte nuclei based on cardiac troponins (14C data from Bergmann et al., 2009) or PCM-1 labeling (Bergmann et al., 2011) has
no impact on the obtained genomic 14C concentrations (median
test p > 0.05; power 90%; Figure S3E; see also Supplemental
Experimental Procedures).
Generation and Exchange Dynamics of Endothelial and
Mesenchymal Cells
We obtained 14C data from subjects aged 20–74 years for endothelial (n = 18) and mesenchymal cell (n = 26) genomic DNA and
related it to the atmospheric 14C curve to assess cell generation
and exchange (Figure 4A; Tables S1 and S2). The genomic 14C
concentrations of endothelial cells show levels rather close to
contemporary levels and a low interindividual variability, indicating a high exchange rate of endothelial cells independent of
age. Mesenchymal cell 14C values are in general higher and
40
50
60
70
80
Age (years)
show a bomb curve-dependent pattern, indicating slower turnover (Figures 4B and 4C).
To establish the cellular dynamics, mathematically modeled
renewal rates based on data were obtained by retrospective
14
C dating and stereological data on cell numbers. Our core
mathematical model describes cells defined by their age class,
and while the individual grows older, the cells also grow older,
making them move from age class to age class (transport equation). The solution to this equation is a distribution of cell ages,
n(t,a), which can be obtained for any chosen time point, for
instance, the time of death of an individual. n in the equation
below is cell density (the integral of n is cell number). t and a
are subject age and cell age, respectively.
vnðt; aÞ vnðt; aÞ
+
=
vt
va
gnðt; aÞ
The solution is integrated with the bomb curve to yield the 14C
concentration in the cell population, which is modeled to be
equal to the measured 14C. Modeling consists of fitting the
death rate of the cells and solving the birth rate that results
in the measured cell number and 14C. In the equation above,
the death rate is represented by g. The birth rate is formulated
in a side condition, as an additional equation (equations are
given in the Supplemental Experimental Procedures). The functional form of birth and death rates make up several versions
of the described model; these versions are referred to as
scenarios.
During adolescence and early adulthood, endothelial and
mesenchymal cells go through a growth phase (phase A), followed by a slight decrease during adulthood (phase B) (Figures
2A and 2B). Consequently, we constructed a piecewise turnover model (phase A, B, and C) of several partial differential
equations, allowing for more flexibility in fitting the cell number.
In phases A and B the death rate was fitted and the birth rate
adjusted to meet the change in cell number. We first evaluated
a scenario with constant death rates after the growth phase for
both endothelial and mesenchymal cells. The global fitting of
the endothelial cells produced a very good fit, and the individual fittings showed no age-related correlation after the growth
phase, indicating that the scenario was appropriate. The
mesenchymal cells did not fit well with the same scenario
and were instead modeled with an additional phase (phase C)
spanning the years after middle age. The scenario that could
reproduce the changing endothelial cell number predicted a
Cell 161, 1566–1575, June 18, 2015 ª2015 Elsevier Inc. 1569
Figure 3. Identification and Isolation of
Cardiomyocytes, Endothelial Cells, and
Mesenchymal Cells
Nuclei PCM-1 MHC
A
Nuclei vWF UEA I MHC
B
Nuclei Lamin A/C UEA I
C
F
PCM-1
PCM-1
E
D
(A) Human cardiomyocytes were identified with
antibodies against myosin heavy chain (gray). All
myocyte nuclei, but not interstitial nuclei, show
immunoreactivity for PCM-1 (arrows). Scale bars
indicate 10 mm.
(B–D) The lectin UEA I binds specifically to human
endothelial cells as shown and to their nuclei. The
microscopy image of cardiac tissue sections (B)
shows co-labeling of UEA I with the endothelial cell
marker von Willebrand factor (vWF). Scale bars
indicate 20 mm. Super-resolution images of cardiac tissue (C) and nuclear isolates (D) show
binding of UEA I (arrows) to cardiac endothelial
nuclei. The nuclear envelope is labeled with lamin
A/C (red). Arrowheads indicate non-endothelial
nuclei. Scale bars indicate 10 mm.
(E and F) Flow cytometry plots depict (E) labeling
with isotype control antibodies and (F) co-labeling
of cardiac nuclei with antibodies against PCM-1
and the lectin UEA I to isolate cardiomyocytes,
endothelial cells, and mesenchymal cells.
See also Figure S3.
UEA I
UEA I
high birth rate of 123.0% per year at birth, declining to an
approximately constant rate of 16.7% per year in adult life (Figure 4D). The mesenchymal cells showed lower rates with
an estimated initial birth rate of 23.5% per year, declining to
3.9% per year in adult life (Figure 4D). The entire endothelial
cell population will be exchanged approximately 9 times between 20 and 75 years of age (Figure 4E), whereas mesenchymal cells will be renewed around two times after the growth
phase (Figure 4F).
Retrospective Birth Dating of Cardiomyocytes
The genomic 14C concentrations in cardiomyocyte nuclei from
51 subjects, 8–75 years of age (Tables S1 and S2), were related
to the atmospheric 14C curve. There were no significant differences in genomic 14C concentrations of myocytes residing in
the myocardial layers toward the endocardium with the layers toward the epicardium of the left ventricle (paired t test; p = 0.32)
(Figure 5A) or between the apical and basal part of the left
ventricle (paired t test; p = 0.80) (Figure 5B). The 14C data of all
four locations showed a similar pattern, corresponding to 14C
levels within a few years after the birth of subjects born after
the nuclear bomb spike, indicating a limited DNA turnover. More-
1570 Cell 161, 1566–1575, June 18, 2015 ª2015 Elsevier Inc.
over, we wanted to establish whether the
developmental and functional differences
of the two ventricular systems were reflected in differences in cardiomyocyte
renewal rates. Hence, we combined all
measured 14C values from the different
left ventricular regions (n = 32) and
compared them to genomic 14C concentration obtained from right ventricular cardiomyocytes (Figure 5C). The genomic
14
C data from the right ventricle mirror
the pattern of the left ventricular myocyte DNA, corresponding
to 14C levels within a few years after the birth of the subjects
born after the bomb spike. Because cardiomyocytes undergo
ploidization mainly in the second decade of life (Figure 1F), it is
necessary to include the time course of ploidization in the
mathematical model to infer renewal rates (see the Supplemental
Experimental Procedures). To obtain a direct measure of
cardiomyocyte turnover, independently of ploidization, we 14C
dated diploid cardiomyocyte nuclei separately (Figure S3F).
Most data points corresponded to 14C concentrations after the
birth of the subjects, indicating postnatal myocyte renewal
(Figure 5D).
Cardiomyocyte Age and Exchange Rate in the Human
Heart
We applied the mathematical model described above for
the analysis of 14C data in cardiomyocytes. In agreement
with the stereology data, the 14C concentrations were not
compatible with a substantial increase in cardiomyocyte cell
number postnatally (see the Supplemental Experimental
Procedures; 14C simulation of cell number expansion during
heart growth). The mathematically modeled scenario with a
A
B
C
D
E
F
Figure 4. Renewal Dynamics of Non-cardiac Cell Populations in the Human Heart
(A) Schematic presentation of 14C data. The black curve indicates the atmospheric 14C concentrations over time. The colored dots represent the 14C concentration in genomic DNA plotted on the date of birth (vertical lines) of the person before (green) and after (orange) the bomb spike. Genomic 14C values
corresponding to 14C concentrations at the time of birth (data points on the atmospheric 14C curve) indicate no postnatal and adult exchange of cells. Deviation
from the 14C curve indicates postnatal and adult genomic DNA turnover. The date of death of the subjects was 2002–2014 in all figures.
(B) Genomic 14C concentrations of isolated endothelial cells are independent of the subjects’ age and correspond to an endothelial cell age of approximately
5.8 years.
(C) Genomic 14C concentrations of isolated mesenchymal cells indicate adult cell turnover with mesenchymal cells being on average 17.3 years.
(D) Annual birth rates of endothelial and mesenchymal cells decline in an exponential fashion in the growing heart. In the adult heart the birth rates of mesenchymal
cells drop to values lower than 4%, whereas the endothelial birth rate remains almost constant at an annual rate of 17%.
(E and F) For a person’s given age, postnatally generated cells are shown with different shades of gray, indicating the decade in which they were generated. Black
indicates cells that were generated before birth; the darkest gray indicates cells generated during the first decade of life; and cells one shade lighter are generated
between 10 to 20 years of age, and so on. (E) Accordingly, endothelial cells are rapidly replaced with more than 90% of all cells being replaced within one decade.
(F) Mesenchymal cells show slower renewal with a cellular representation of almost all age classes in middle-aged and old hearts. Endothelial and mesenchymal
renewal is based on the two- and three-phase models, respectively.
See also Figure S3 and Tables S1 and S2.
constant cardiomyocyte number best follows the measured
14
C concentrations, and a >2.3-fold increase can be excluded
(Figure S4).
Due to ploidization and cell renewal, most postnatal DNA synthesis in cardiomyocytes occurs during the first two decades of
life (Figure 6A). Mathematical modeling revealed that postnatal
cardiomyocyte turnover is highest in the first decade of life,
declining to 0.8% per year at the age of 20 and to 0.3% per
year at the age of 75, in the left ventricle (Figure 6B; Supplemental Experimental Procedures). With these dynamics, the
difference between the youngest and oldest cells in a subject increases with age (Figure 6C). Most cardiomyocytes have already
been generated perinataly, and approximately 80% of the cardiomyocytes will never be exchanged after 10 years of age, even
during a long life. By 75 years of age, 39% of all cardiomyocytes
have been generated postnatally, and of these, 36% are already
generated by 10 years of age (Figure 6D). The turnover of right
ventricle cardiomyocytes was not significantly different (p >
0.05, see the Supplemental Experimental Procedures) from the
left ventricle with 50.4% of the cells being renewed by 75 years
of age.
Our analyses reveal that the cell renewal in the heart is
primarily confined to the endothelial and mesenchymal cell populations and that there is a much more limited exchange of
cardiomyocytes.
DISCUSSION
The generation and cellular plasticity of the myocardium has
been extensively studied during the last decade. However,
differences in the estimates of the magnitude and time line of
cardiomyocyte exchange have led to an ongoing debate about
the capacity of the adult heart to renew cardiomyocytes. In this
study, we combined several strategies, including 14C birth dating
and stereology, to provide a comprehensive view of myocardial
renewal. We report that cellular remodeling of the myocardium is
a lifelong process, with most postnatal cardiomyocyte exchange
being restricted to the first decade of life.
Cell 161, 1566–1575, June 18, 2015 ª2015 Elsevier Inc. 1571
A
C
B
D
Endothelial and Mesenchymal Cell Compartments Are
Highly Proliferative
Cardiac endothelial and mesenchymal cells expand during the
physiological growth of the heart and show much higher generation rates than do cardiomyocytes. Endothelial cells have the
highest exchange rate, with the whole population being renewed
every 6 years in adulthood. It will be of clinical relevance how
endothelial dysfunction and advanced arteriosclerosis as seen,
for instance, in diabetic patients affect endothelial renewal.
Mesenchymal cells show an age-dependent decline in renewal.
One might argue that fibroblast proliferation is one of the hallmarks of interstitial fibrosis often seen in aging hearts, but hearts
with signs of pathology were excluded from this study (see the
Experimental Procedures).
Cardiomyocyte Generation in the Growing Human Heart
In rodents most cardiomyocytes exit the cell cycle within the first
week postnatally as they become multinucleated (Walsh et al.,
2010). In humans most cardiomyocytes remain mononucleated
throughout life (Figure 1C). In agreement with earlier studies
(Adler, 1991; Mayhew et al., 1997), we found no evidence that
the physiological growth of the human heart is accompanied
by the addition of cardiomyocytes. This finding is based on our
stereological quantification (Figures 1A–1D), as well as by 14C
measurements (Figure S4), which exclude the possibility of a
several fold increase in cardiomyocyte cell count as recently
suggested by Mollova et al. (2013).
There is, however, substantial replacement of existing cardiomyocytes in growing hearts. Of all postnatally born cardiomyocytes generated up to 75 years of age, 36% are already
generated by 10 years of age (Figures 6C and 6D). In the second
decade of life, when the cardiomyocyte renewal rates approach
adult levels, the DNA content per cardiomyocyte nucleus
increases by ploidization, reaching adult levels at the age
1572 Cell 161, 1566–1575, June 18, 2015 ª2015 Elsevier Inc.
Figure 5. Retrospective
Cardiomyocytes
14
C
Dating
of
(A–D) Genomic 14C concentrations of cardiomyocytes in the human heart. (A to C) All 14C
concentrations from subjects born after the bomb
spike correspond to time after the subjects’ birth
dates, indicating postnatal DNA synthesis. Most
14
C concentrations of subjects born before or
during the time when the bomb curve peaks were
elevated, indicating a DNA exchange even during
adulthood. (A to C) Comparison between genomic
14
C concentrations of cardiomyocytes in the outer
(epicardial) and inner (endocardial) myocardial
layer (A), apex and base of the left ventricle (B), and
the left (some 14C data points were already reported by Bergmann et al. 2009; Figure S3E) and
the right ventricle (C) revealed no significant
differences between the populations (see Results).
Most data points do not correspond to the 14C
concentration at birth, suggesting a limited postnatal and adult DNA turnover. (D) Genomic 14C
concentrations of diploid cardiomyocyte nuclei in
the left ventricle indicate cardiomyocyte turnover.
See also Figure S3 and Tables S1 and S2.
of 20 (Figure 1), indicating a switch from cytokinesis to
polyploidization.
Most Cardiomyocytes Are Never Exchanged
The cellular plasticity of the adult human heart has been heavily
debated. Analysis of genomic 14C concentrations revealed that
myocytes were on average 5 years younger than the subject in
adulthood, and only 39% of the left ventricle cardiomyocytes
are exchanged during a long life. 14C dating of selectively diploid
cardiomyocyte nuclei allows an assessment of renewal rates,
without the need for taking polyploidization into account. This
predicts a fraction of 47.8% that renews within a lifetime of 75
years. We note that the fraction is not directly comparable with
that of the whole cardiomyocyte population because of the
different cell-number kinetics; the diploid cardiomyocytes
decrease in numbers during polyploidization. However, qualitatively, this is in good agreement with our model, including the
whole cardiomyocyte population.
Most postnataly born cardiomyocytes are generated in young
humans, which is in agreement with higher proliferation rates
showed in young subjects (Mollova et al., 2013). Cardiomyocyte
generation represents the exchange of cardiomyocytes without
any increase in their number. The recently reported increase in
cardiomyocyte number in juvenile mice could correspond to
the reported ploidy increase in adolescent humans (Naqvi
et al., 2014). Our data are in the range of most reported turnover
rates in rodent models with renewal rates of 0% to 4.0% per year
(Malliaras et al., 2013; Senyo et al., 2013; Soonpaa and Field,
1997; Walsh et al., 2010).
Cardiomyocytes Renew at Similar Rates in Different
Subdivisions of the Human Heart
Studies in rodents have suggested that cardiac stem cells are
not homogenously distributed (Cai et al., 2008). We asked
10
Total DNA synthesis
Ploidy
B
Annual birth rate (%)
DNA synthesis (%)
A
8
6
4
2
0
Figure 6. Renewal Dynamic of Cardiomyocytes in the Human Heart
4
(A) Total DNA synthesis inferred from genomic 14C
concentration in cardiomyocytes at different ages
(black) with that associated with polyploidization
indicated (pattern fill).
(B) Annual birth rates of cardiomyocytes in the
left ventricle decline in an exponential fashion
in the growing heart and adult heart. Cardiomyocytes renew at a rate of 0.8% at the age of
20, whereas in old subjects this rate declines to
values below 0.3%.
(C) Age distribution of adult-born cardiomyocytes
at 25, 50, and 75 years of age.
(D) The total number of cardiomyocytes is already
established at birth and remains constant with
age. Similarly as in Figure 4, for a given age of the
person, postnatally generated cells are shown with
different shades of gray, indicating the decade in
which they were generated. During a lifetime,
approximately 35% of all cardiomyocytes are
exchanges postnatally, with most cardiomyocytes
already generated at birth and in the first years of
life. Cardiomyocyte renewal is based on the
cumulative survival model.
See also Figure S4 and Table S3.
3
2
1
0
0
0
10 20 30 40 50 60 70 80
Age of person (years)
C
10 20 30 40 50 60 70 80
Age of person (years)
D
80
Number of
cardiomyocytes (109)
Age of postnatally generated
cardiomyocytes (years)
5
60
40
20
0
25 years
50 years
75 years
Age of person
3
2
1
0
0 10 20 30 40 50 60 70 80
Age of person (years)
whether cardiomyocyte renewal might be heterogeneously
distributed within the heart. Epicardial progenitor cells were
shown to be re-activated after cardiac infarction by thymosin
b4, an actin monomer-binding peptide that is involved in the
development of the heart and generate new cardiomyocytes
(Smart et al., 2011). However, we could not detect any differences in turnover rates comparing myocardial layers toward
the epicardium compared to the myocardium facing the endocardium. Moreover, we could not find any differences in myocyte
renewal comparing the apex with the heart basis, as one might
have expected from studies reporting a higher frequency of
stem cell niches in the apical regions in which the hemodynamic
workload is lower (Beltrami et al., 2003). Finally, we asked
whether turnover rates differ comparing the left ventricle with
the right ventricle, both derived from different stem cell populations developmentally and exposed to substantially different
workloads. Although the average DNA content per nucleus
was significantly higher in the left ventricle, we could not find
any differences in renewal rates between the left and the right
ventricles. The homogeneity in myocyte renewal suggests that
cardiomyocyte renewal is rather independent from ventricular
configuration and hemodynamic workload.
In summary we have shown in this study that endothelial cells,
mesenchymal cells, and cardiomyocytes are exchanged in the
human heart during the entire lifespan, albeit with different
magnitudes and dynamics. These findings suggest that it may
be rational and realistic to develop new therapeutic strategies
in order to augment endogenous regeneration to treat cardiac
diseases.
EXPERIMENTAL PROCEDURES
Sample Preparation for 14C Measurement
The right and left ventricle were dissected, removing epicardial fat and visible
blood vessels. The left ventricle myocardium was further divided to obtain
regions adjacent to the epi- or endocardium and from the apex and base.
Isolation of cardiac cell nuclei was performed by mechanical breakdown of
the tissue, followed by a series of filtering steps, and ultracentrifugation
through a sucrose gradient. Isolated nuclei were stained with antibodies
against pericentriolar material 1 and Ulex Europaeus Agglutinin I and sorted
using fluorescence-activated cell sorting. DNA from sorted nuclei was extracted, and 14C was measured as described in the Supplemental Experimental Procedures.
Stereological Analysis
Using a design-unbiased strategy, tissue biopsies (4 mm diameter) from a minimum of ten different regions of the left ventricle were sampled. The biopsies
were embedded in 8% gelatin, and isectors (spheres) with a diameter of
5–6 mm were prepared to get isotropic, uniform random alignment of the
samples. The isectors were embedded in cryostat embedding medium, and
40-mm-thick sections were stained for analysis for stereological quantitation
(see subsection Immunohistochemistry). Analysis was performed on a
LSM700 confocal microscope (633 and 403 Plan-Apo oil objective), using
the ZEN2010b software with the newCAST module (v. 4) (Visiopharm A/S). A
minimum of four isectors was sampled, and a minimum of 200 cells per subject
was counted (1%–2% of the area of the region of interest). A systematic
random sampling scheme (meander sampling) was applied using an optical
disector with a counting frame (76 3 76 3 22 mm and 40 3 40 3 20 mm with
3 mm guard zones). To determine myocyte volume and the number of nuclei
per myocyte, we defined local vertical windows at which myocytes have
been cut along their longitudinal axis. Myocyte cell borders were labeled
with connexin-43 (rabbit anti-connexin-43, 1:5,000, SigmaAldrich; pan-cadherin [mouse anti-pan cadherin, 1:200, Abcam] in infants), dystrophin (rabbit
anti-dystrophin, 1:2,000, Atlas Antibodies), and myocyte nuclei with PCM-1.
Cardiomyocyte volume was determined by the three-dimensional nucleator
with five test lines. If more than one nucleus was present in a sampled myocyte, the first myocyte nucleus was used as reference point for the nucleator
tool. Endothelial cells were identified with the lectin Ulex europaeus agglutinin
I (UEA I) (Vector Labs), conjugated to fluorescein isothiocyanate. Mesenchymal cells were identified by the absence of PCM-1 and UEA I. To estimate
the total numbers of cells in the heart, we utilized the two-step NV 3 VREF
method (NV is an estimate of the numerical cell density, and VREF is the reference volume of the tissue or organ region of interest) using an optical disector
(Brüel and Nyengaard, 2005). Reference volume (VREF) was calculated from the
Cell 161, 1566–1575, June 18, 2015 ª2015 Elsevier Inc. 1573
wet ventricular mass by applying the density of the myocardium 1.06 g/cm3
(Brüel and Nyengaard, 2005). In case the whole ventricle was not available,
we estimated the reference volume (VREF) based on body surface area (BSA)
(Figure S1B). When necessary, tissue shrinkage along the z axis was corrected. Tissue shrinkage along the x and y axes was not observed. The coefficient of error (CE) for most samples was less than 0.2 (20%).
SUPPLEMENTAL INFORMATION
Supplemental Information includes Supplemental Experimental Procedures,
four figures, and three tables and can be found with this article online at
http://dx.doi.org/10.1016/j.cell.2015.05.026.
AUTHOR CONTRIBUTIONS
O.B., S.Z., and J.F. conceived and designed the study. O.B., S.Z., A.F., K.A.,
and S.L.S. performed and analyzed the experiments. M. Salehpour and G.P.
performed and analyzed accelerator mass spectrometry (AMS) measurements. S.Z. and S.B. performed mathematical modeling and statistical
analysis. K.A., M.A., R.J., C. R., T.M, S.J., and H.D. procured the tissue and
provided patient data. M. Szewczykowska and T.J. provided and interpreted
pediatric echocardiography data. O.B. and J.R.N designed the stereological
experiments. O.B., S.Z., and J.F. wrote the manuscript.
ACKNOWLEDGMENTS
We thank G. Eppens, J. Panula, and E. Norlin for help with flow cytometry sorting
and DNA purification, M. Toro and S. Giatrellis for assistance and advice in flow
cytometry, and K. Håkansson for AMS sample preparation. We acknowledge
support with SIM imaging from the Advance Light Microscopy facility at the Science for Life Laboratory. This study was supported by grants from the Swedish
Research Council, The Swedish Heart and Lung Foundation, the Swedish
Cancer Society, the Karolinska Institute, Tobias Stiftelsen, the Strategic
Research Programs in Stem Cells and Regenerative Medicine at Karolinska Institutet (StratRegen), Torsten Söderbergs Stiftelse, Knut och Alice Wallenbergs
Stiftelse, and Richard and Helen DeVos Foundation. The Centre for Stochastic
Geometry and Advanced Bioimaging is supported by the Villum Foundation.
Received: January 14, 2015
Revised: March 18, 2015
Accepted: April 22, 2015
Published: June 11, 2015
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