fundamental paradox of survival determinism: the ur-etiology disease paradigm
TRANSCRIPT
ORIGINAL PAPER
Fundamental paradox of survival determinism:the ur-etiology disease paradigm
Pavle Krsmanovic
Received: 2 December 2011 / Accepted: 29 October 2012 / Published online: 6 November 2012
� Springer-Verlag Berlin Heidelberg 2012
Abstract Following a common practice in medicine,
biomedical researches tend to view various disease condi-
tions as direct results of preceding, disease-causing events.
Such events are commonly those that could have been
previously detected and which have given the history of
studies of particular diseases, been previously recognized as
playing an important role in an onset and/or progression of
the disease in question. Although such practice is justified
from the very principles of experimental investigation and
scientific observation, it comes short of finding the funda-
mental causes behind these disease conditions. This man-
uscript proposes a different view to the origin of some types
of diseases as well as some other biological phenomena.
Namely, the focus of the concept relates to a notion of
survival determinism, proposed to have been in the very
core of evolution of primordial organisms. Thereby, as
various disease models are discussed in the light of the
proposed mechanisms for adaptation, they could be seen as
relicts of the early evolutionary history of life on Earth.
Keywords Survival determinism � Cancer � Protein �Parthenogenesis � Protein aggregation � Mitochondria �Aging � Evolution
Introduction
In his article on the pillars of life (Koshland 2002), proposed
seven attributes inherent to all living entities: program,
improvisation, compartmentalization, energy, regeneration,
adaptability, and seclusion. Although outlining these char-
acteristics in such fashion does aid in our attempt to define
‘‘life’’ it remains focused on the perceptible, i.e., tangible,
capacities of living entities. In other words, even though
some of the outlined characteristics do concentrate on the
functional characteristics of life, such as adaptability and
improvisation, they remain derived based on descriptions of
the observable phenomena rather than the nature of the
processes themselves. Another, supplementary approach
would be to extrapolate on the known available scientific
facts to describe the fundamental nature of any living entity.
Thereby, one would implicitly focus on the purpose of
processes, i.e., what is aimed to be accomplished by them,
which characterize living entities rather than solely their
observable and detectable outcome. To do so, one would
need to maintain that the inherent aim and purpose of each
living system is the preservation of itself and its kind
through self-survival and reproduction.
In an earlier paper (Krsmanovic 2011), I have outlined a
view on cancer as a disease originating from a stochastic
survival determinism program. Such program was pro-
posed to have been in the very core of early development of
unicellular organisms, which remained active in the sub-
sequent stages of evolution. In the conventional approaches
to discuss cancer it is usually interpreted as a disease lar-
gely arising due the direct effects of the carcinogens, such
as particular chemicals, radiation, etc., or (epi) genetic
mutations. On the contrary, the hypothesis I have outlined
proposes that carcinogenesis stems from a process that was
initially developed for the purpose of survival under con-
ditions of rapidly changing environment. The model is
based on the concept of survival determinism, proposed to
be inherent to all of the living systems. Therefore, as the
discussed program was indeed indicated to be abundant
P. Krsmanovic (&)
Functional Architecture of the Cell (B065),
German Cancer Research Centre (DKFZ),
Im Neuenheimer Feld 580, 69120 Heidelberg, Germany
e-mail: [email protected]
123
Theory Biosci. (2013) 132:65–71
DOI 10.1007/s12064-012-0169-9
throughout the living world, one could extent the discus-
sion beyond cancer and speculate that such, or related,
processes would be causing other diseases or some related
biological phenomena.
Thereby, some of the diseases would be seen to occur
not primarily due to the previously recognized mutations or
other defects in the organisms suffering from the respective
diseases. On the contrary, diseases would be primarily
discussed with respect to the inability of individual cells to
comply with the needs of the organism as a whole.
Therefore, the first premise of subsequent discussions
would be that cells always act in response to the changes in
their environment by implementing genetic programs they
possess. In addition, a multicellular organism would be
perceived as a result of a highly structured and elaborate
symbiosis of individual cells—a rationale which consti-
tutes the second premise of these discussions. Thereby,
origins of some diseases would be discussed with respect to
the evolutionary mechanisms of the most fundamental,
single living systems—the cells.
Stochastic survival determinism
The variant of survival determinism program that was
proposed to give rise to cancer would have an aim to
generate a novel functionality, i.e., enzyme(s) or path-
way(s). Such novel functionalities could have eventually
enabled the organism(s) subjected to a rapid and/or drastic
change in the environment to remain viable. The aim of the
process would be to generate many different offspring
organisms with different genetic backgrounds. As only
some of the offspring would be expected to survive the
program was termed stochastic. The processes proposed to
play a role in generating such variability were all previ-
ously characterized to occur in different types of cancers.
For example, various degrees of (epi) genetic mutations,
which were proposed to occur at the initial stages of the
stochastic survival determinism process, were found in all
known tumour types. The significance of such epigenetic
changes was in the focus of many scientists, whereby
Feinberg et al. 2006 proposed it to be in the core of the
development of cancer progenitor cells. Subsequently,
genomic instability found in many, if not all, types of
cancer (Duesberg et al. 2000) was proposed to be a con-
sequence of massive genomic changes occurring during the
process. Finally, as activity of transposable elements can be
induced in cells by treatment with various stress factors
(reviewed by Slotkin and Martienssen 2007), they were
also proposed to have a role in the discussed process.
Thereby, the occurrence of these events was proposed to
be guided by the cell(s) themselves for the purpose of
survival in what they would sense as a hostile and/or
changing environment. Subsequently, the stochastic sur-
vival determinism model is correlated to some forms of
parthenogenesis, such as the one experimentally induced in
mice (Kono et al. 2004). The correlation is supported by
several similarities between such forms of parthenogenesis
and the proposed model. Namely, many of the cases of
experimental inductions of parthenogenesis by treatments
with different forms of stress indeed bear some similarities
with what is proposed in the model (some examples were
previously reviewed by Mittwoch 1978). A direct support
for the proposed correlation between cancers and parthe-
nogenesis also comes from a study, which reported that the
mice from a strain where parthenogenesis occurred regu-
larly were susceptible to developing ovarian teratomata
(Stevens and Varnum 1974).
Hence, the notion of survival determinism was previ-
ously developed as a concept to address the question of role
of evolution of single cells in the context of a multicellular
organism. By further discussing such capacity of the indi-
vidual cells in a body of a large organism one could address
the role of innate survival programs in etiologies of various
diseases. Nevertheless, the concept of survival determinism
does not presuppose the process of propagation of partic-
ular traits: for example by evolution by selection1 or, in
case of selectively neutral mutants, by genetic drifts2. In
other words, it does not represent an alternative mechanism
for evolution but merely a mechanism for offspring gen-
eration: in the case of stochastic survival determinism, its
focus is on generation of the offspring with varied genetic
background. In the following chapters related survival
determinism programs are correlated to other types of
diseases and/or some observations and experimental data.
Thereby they address the relevance of the proposed model
in cases of other processes or known diseases for the pur-
pose of providing a novel conceptual framework for
interpretation of the available data.
Survival determinism role in some genetic diseases
Among different means for cancer initiation, genomic
instability or epimutations in the cancer progenitor cells
(reviewed by Feinberg et al. 2006) would imply that
cancer could originate due to different (epi) genetic
mutations. However, similarly as to previous discussion
on origins of cancer, loss of essential proteins, or effects
1 Initially introduced by Charles Darwin in the book titled: On theOrigin of Species by Means of Natural Selection, or the Preservationof Favoured Races in the Struggle for Life (1859).2 The neutral theory of molecular evolution was introduced in the late
1960 and 1970s by Motoo Kimura to address the question of vast
genomic differences between different species which are selectively
neutral.
66 Theory Biosci. (2013) 132:65–71
123
of some other disease-causing mutations on the cell via-
bility could also be interpreted in the context of a related
survival determinism program. For example, cardiomyo-
cyte death in desmin-null mice is mitigated by overex-
pression of an antiapoptotic bcl-2 gene (Weisleder et al.
2004). As previously indicated, the final aim of the sur-
vival determinism program would be to allow propagation
of life. Thereby, apoptotic sacrifices of some cells in a
population of many would be seen as a means to distribute
the available nutrients away from the cells that have a
very poor likelihood for survival. As desmin filaments are
fundamental for proper functioning of cardiac cells
(reviewed by Paulin and Li 2004) their loss could initiate
such survival program. Furthermore, cell death is one of
the commonly observed phenotypes in various forms of
myofibrillar myopathies, such as in the case of aB-crys-
tallin desmin-related cardiomyopathy (Maloyan et al.
2005). Similarly, mutations in or lack of other essential
proteins could lead to the activation of a similar survival
determinism program. Thereby, the disease phenotypes
characterized by massive cell death, on one side, or
increased cell proliferation on the other (as it is the case in
some neurodegenerative diseases, some of which will be
subsequently discussed) would be an indication that the
disease condition occurred due to the activation of sur-
vival determinism programs in somatic cells.
Another approach to directly correlate the original
causes of some diseases to the survival determinism
program would be to determine if the patients bearing
mutations leading to such diseases would be more sus-
ceptible to developing cancer. Thereby, one would dem-
onstrate that, apart from some mutation-specific effects in
the particular diseases, those mutations would subse-
quently lead to the activation of the same or related
survival determinism program. One of such examples is
the expression of a truncated version of Lamin A, prog-
erin, in a number of human cancer cell lines (Tang et al.
2010). Progerin causes Hutchinson–Gilford progeria syn-
drome (HGPS), a rare premature aging disorder. Lamin A,
on the other hand, is a nuclear intermediate filament
protein which has an important role in maintaining
nuclear stability, elasticity, and organising nuclear chro-
matin (reviewed by Prokocimer et al. 2009). Truncation
of such a vital protein would clearly lead to some
mutation-specific effects, such as nuclear shape defects
and chromatin disorganisation. Nevertheless, its presence
in cancer cells indicates that one of the effects of the
mutation could be associated with activation of the sur-
vival determinism process. Furthermore, reports of HGPS
patients developing malignant cancers (King et al. 1978;
Shalev et al. 2007) indicate that the respective mutations
might indeed make them susceptible to developing some
forms of cancers.
Effects of the immune system and pathogens
Infections with various pathogens elicit an immune
response in humans, as well as other higher animals.
However, the role of the immune system in the progression
of some solid tumors, as reviewed by Pollard (2004), indi-
cates its versatility: although it was developed to counteract
infectious pathogens as broadly as possible, it responds to
the stimuli of other cells and has a broad spectrum of
potential targets, whereby it could also act against the host
cells themselves. Hence, a conceptual analogy between the
carcinogenesis model and autoimmune diseases has been
indicated in an earlier paper (Krsmanovic 2011). The
effects of the survival determinism program in this case are
reflected by the program of the cells developed for the
purpose of the survival of their colony, i.e., the organism,
regardless of what the actual consequences would be. In a
broader sense, the cells of an organism simply respond to
changes in their environment or in themselves, in accor-
dance with the survival programs they have.
Following the survival determinism paradigm, origin of
viruses was also traced to the activity of the same program
to further illustrate that various biological phenomena
could be effectively discussed in the context of such or a
related mechanism. In other words, in the context of sur-
vival determinism viruses were proposed to have initially
been designed as transport vesicles of the genetic material
between different organisms in a colony. Similarly, one
could also extend the discussion further to the symbiotic
relationship between mitochondria and their eukaryotic
host cells or the problems that could arise if their symbiotic
relationship is obstructed. For example, calcium perturba-
tion in mitochondria could lead to the opening of mito-
chondrial permeability transition pore (mPTP) to cause its
efflux (Halestrap 2006). As mitochondria are considered to
have originated by endosymbiosis, the role of mPTP might
have been derived from a similar complex found in bacteria
Legionelle pneumophila (Khemiri et al. 2008). Such com-
plex in these bacteria was postulated to be involved in
induction of apoptosis during infection.
Aged or dysfunctional mitochondria are digested in the
cell by autophagy (reviewed by De Meyer and Martinet
2009), which one could also assume to be initiated under
mitochondrial stress conditions. Therefore, opening of the
mPTP could be, in fact, a mitochondrial response which
mimics its role from the early pathogenic bacteria.
Thereby, whereas under non-stress conditions mitochon-
dria and the host cell would foster their mutual interde-
pendence, under prolonged stress conditions both
mitochondria and their host cells might be expected to
activate their ancient self-survival mechanisms thereby
overriding their symbiotic paradigm. In such case, mito-
chondria could be acting in response to what they perceive
Theory Biosci. (2013) 132:65–71 67
123
as stress in their environment, i.e., the eukaryotic cell host
attempting to discard them. Accordingly, their response
would involve an initiation of a survival mechanism still
remaining from their pre-mitochondrial ancestors, the early
pathogenic bacteria. Thereby, the respective mechanism
could be extended beyond the interaction and evolution of
individual cells: all the way down to the individual cellular
components.
A case study: survival determinism in protein
aggregation diseases
As indicated previously, one group of diseases, which could
be effectively discussed in the context of survival determinism
is the class of protein aggregation diseases. In the context of
such discussion, protein aggregation might be perceived as a
means to concentrate the misfolded or otherwise dysfunc-
tional proteins in a single location inside a cell. The cell could
do so in order to discard the protein aggregates in one of the
offspring cells upon division, whereby it would attempt to
generate a subset of offspring cells with fewer or no aggre-
gates. Thereby, in order to be able to constantly discard the
protein aggregates, the cells harboring aggregation-prone
proteins would remain in the replication competent state. In
case of unicellular organisms in their growth phase such
condition would already be fulfilled. However, in case of
single cells that are part of a multicellular organism, the cells
which activate their survival determinism program would
need to bypass their original altruistic disposition. Thereby,
they would place their own survival as higher priority to that of
the organism they are a part of.
Several lines of evidence support the proposed model of
etiology of this type of diseases. For example, active pro-
tein aggregate stabilisation could be mediated by some
small heat-shock proteins, which were already found to
accumulate in aggregates of glial fibrilary acidic protein
(GFAP) mutants in neurodegenerative Alexander disease
(Perng et al. 2006). This observation indicates that protein
aggregation could be an active process. Furthermore, the
pathological form of prion protein (PrPSc), which causes
protein aggregation in case of prion diseases, stimulates
astrocyte proliferation in the presence of the non-toxic
protein PrPc, as indicated by Brown (2001). The offspring
cells that accumulate the protein aggregates would be
expected to be eventually sacrificed and undergo apoptosis.
In support of such notion, astrocytes treated with PrP106-
126, a prion toxic peptide which mimics the PrPSc activity
during prion disease pathology, but prevented from pro-
liferating show increased cell death. Similarly, PrP106-126
is not toxic in myoblasts, which could divide further, unlike
in myotubes, which are fully differentiated cells and for
which it is toxic (Brown et al. 1998).
To trace the possible origins of the proposed mechanism
of stress response in case of protein aggregation, one could
discuss its role in the early biotic life on earth similarly to
the proposed model of the cancer origin. In other words, in
the cases when massive protein misfolding and/or aggre-
gation could not be mitigated by the existing cellular
machinery the early unicellular organisms could have
activated their survival determinism program. Thereby they
would have been more likely to remain viable and propa-
gate further. However, although hypothetically the process
could be initiated due to a rapid change in the cells’
environment, the causes of protein aggregation could occur
due to a mutation in some proteins (discussed by Brown
2001). Thereby, the mutant proteins might not be able to
fold properly and could instead promote further protein
aggregation. As a cell might have too few tools to precisely
differentiate the actual causes of protein aggregation, the
activation of the survival determinism program under
conditions of prolonged protein aggregation would appear
to be one of the last options it has to prevent a fatal
outcome.
Different forms of survival determinism
The mechanism outlined above is related to the one proposed
to lead to cancer but is characterized by a targeted, rather than
stochastic, survival determinism. Namely, although the
choice of the offspring, which would be sacrificed might still
be random, the targeted survival determinism involves the
accumulation of defects, such as protein aggregates, only in a
subgroup of the offspring cells. Thereby, a specific sub-
population of cells, such as the cells accumulating protein
aggregates, would eventually be sacrificed for the benefit of
the rest of the cell population. Furthermore, as the two forms
of survival determinism are likely interconnected, they could
represent the two stages of the same survival determinism
process (Fig. 1). In other words, the principal mechanism of
the early unicellular organisms would have had to respond to
the prolonged stress conditions would involve the targeted
survival determinism. The cells would remain in the process
of cell division, whereby they would attempt to dispose of the
stress-causing agent through sacrificing some of the off-
spring cells.
In addition to the process already discussed in several
different types of diseases, such mechanism could also be
characteristic for the initiating stages of benign and non-
invasive tumors. In the subsequent stages of tumor growth
it would still remain active to give rise to a lineage of
cancer stem cells (the concept of which is discussed by
Clevers 2011) and a subpopulation of cells undergoing
stochastic survival determinism. Accordingly, the two
forms of survival determinism, targeted and stochastic
68 Theory Biosci. (2013) 132:65–71
123
ones, were indicated above to be likely related with respect
to the diseases they could cause. Thereby, as asymmetrical
cell division was indicated to operate under the stochastic
(discussed in Krsmanovic 2011) as well as the targeted
survival determinism they both likely reflect subdivisions
of a more general pathway.
In addition to application of the concept in the context of
disease one could further implement it in discussing cel-
lular aging. The origin of biological aging would simply be
a consequence of the division of labor by the cells of a
multicellular organism. Most of the differentiated cells are
replaceable and thereby any aging-related defects that
would affect the organism before it has produced offspring
would have been the subject of gradual evolution by
selection. Therefore, there has been no significant selective
pressure to counteract aging more thoroughly. Since the
selection operates on organisms prior to or shortly after
their reproduction, the mechanism discussed is not
incompatible with the process of evolution by selection.
In that respect, aging could also be discussed as a pro-
cess resulting from the division of functions among the
cells, whereby cell differentiation would be seen to repre-
sent a form of biological altruism. Namely, as differenti-
ated cells are committed to only a subset of particular
functions, they would need to activate mechanisms only, or
largely, related to those functions. Nevertheless, unlike in
the case of the rest of the cells in the body, genome
diversity in germline cells would be predominantly gen-
erated via meiotic recombination or de novo base muta-
tions. The occurrence of spontaneous aneuploidies would
likely lead to conception failure (Wang et al. 2012, and
references therein), indicating that under stable conditions
the germ line cells would foster rather stable preservation
of the genome. In this case, such protection would be
necessary as the sole purpose of these cells is dissemination
of the genetic material.
Finally, the survival determinism processes in some cases
could in fact reflect the general state of colonies of some
organisms such as insects. For example, queen bees could lay
fertilised and unfertilised eggs, which would give rise to the
worker or queen bees, in case of the former, or male drones,
in case of the later (reviewed in Mittwoch 1978). Such form
of reproduction would reflect the altruistic form of survival
determinism. Thereby the organisms not designed for further
proliferation would not simply accumulate the defects as in
the case of survival determinism initiated under the stress
conditions. They would, in fact, act to better sustain those
organisms in the colony whose sole purpose is further
Cell Death
Simple mitosis and activation of the stress-response
Unicellular organisms
If the cells still cannot adapt
Continual propagation of the offspring
Stochastic survival determinism
Targeted survival determinism
Cells harbouring random defects
Prolonged stress or rapid change of the environment
Additional Stress
Spontaneous Mutations
CellDeath
Cell DeathCell Death
Simple mitosis and activation of the stress-response
Simple mitosis and activation of the stress-response
Unicellular organismsUnicellular organismsUnicellular organisms
If the cells still cannot adaptIf the cells still cannot adapt
Continual propagation of the offspring
Continual propagation of the offspring
Stochastic survival determinismStochastic survival determinism
Targeted survival determinismTargeted survival determinism
Cells harbouring random defectsCells harbouring random defects
Cells accumulating defects
CellDeathCellDeath
Fig. 1 Different stages of survival determinism. Model of two
different stages of survival determinism (targeted and stochastic): one
being activated as the first response of the organism to the stress or
change in the environment; the second form of survival determinism
would be activated if the first process does not allow for the stable
survival of the offspring. The final aim of these processes is survival
of some of the offspring, whereas a fraction of it would be sacrificed
(either directly, by accumulating defects as in case of the targeted
survival determinism, or indirectly, as a byproduct of the program
aiming at producing random survivors as in the case of the stochastic
survival determinism). Dashed lines leading to the stochastic survival
determinism indicate it could get activated in a subpopulation of the
offspring cells due to additional stress or accumulation of some
spontaneous mutations during the process of targeted survival
determinism. The feedback loop is omitted for simplicity
Theory Biosci. (2013) 132:65–71 69
123
propagation. Nevertheless, through the sacrifice of their own
reproductive potential, organisms living in such colonies
would display an altruistic form of survival determinism.
Such form would appear to be characteristic not for the
organisms facing drastic change in the environment: it would
rather represent the steady state for the organisms which
reproduce under stable conditions.
A teleological paradox
The outlined survival determinism models could in fact
reflect the rapidly changing environment that the early life
on Earth was subjected to. Thereby, whereas an unstable
and rapidly changing environment would favor fast-pro-
liferating organisms with a capacity for rapid adaptability,
stable environment would favor slowly developing, stable
and durable organisms. Activation of the targeted or per-
haps stochastic survival determinism programs would in
fact reflect the general state of an organism under unstable,
harsh living conditions. Nevertheless, the concept of sur-
vival determinism still harbors a fundamental, teleological3
paradox: whereas such mechanism was developed to
guarantee propagation of life, it remains the cause of var-
ious diseases, which would eventually lead to death of
organisms. Hence as the initial cause of many, if not most,
of the diseases could be traced to their survival determin-
ism, it could be said to reflect their ur-etiology4. In this
context, ur-etiology denotes an original common cause in
some of the diseases to be due to the cells survival deter-
minism overriding their biological altruism.
The paradox is, however, not due to the survival deter-
minism itself but due to a broader discord between dif-
ferent approaches to achieve survival and propagation of
life. On one hand, battle for survival or survival of the
fittest represent two modes of evolution by selection and
thereby focus on the advantages and benefits of individual
organisms. On the other hand, organization of organisms
into groups and biological altruism both promote propa-
gation of life but through a direct benefit for the entire
colony. Whereas, the organization of organisms into groups
also promotes survival of each individual one, biological
altruism requires individual sacrifice. However, in the
context of the early unicellular organisms, survival of
individual cells through survival determinism pathways
might have been one of very few means life had to be able
to foster its propagation. Therefore, the apparent discord is
due to the cellular context and the mode of survival the
cells would utilize. Such discord would thereby reflect a
more paradigmatic antagonism: although survival egoism
was initially necessary to guarantee perpetuation of the first
unicellular organisms, it remains an obstacle for sustain-
able viability of more sophisticated forms of symbiosis of
cells, i.e., the multicellular organisms.
Conflict of interest The author declares that he has no conflict of
interest.
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