The good and the bad of being connected: the integrons of aging
Introduction
Aging is one of the highest risk factors known for most human diseases, including cancer, neurodegeneration, diabetes, and metabolic syndrome. Given the importance of these diseases in the population, as well as other age-associated phenotypes that contribute to frailty as people age, there is a keen interest to define and understand the aging process. In recent decades there have been regular intervals of excitement that ‘the key’ to unlocking our understanding of aging has been discovered. However the number of keys has been increasing with the time spent looking for them and rather than coming to a clearer understanding (unifying theory), the number of hypotheses to define the aging process and explain it has been increasing. While this may be perceived as confusing, more realistically it reflects that as a field, the study of aging is still early in its development. It is at a stage where the process of aging continues to be defined and discoveries continue to help us realize there is still more underlying biology to understand. As a consequence, what we learn from model systems is very important for helping us to define and understand the aging process.
We begin by considering recent developments in the aging field in light of a fundamental property of biological systems — interconnectivity [1]. All levels of interaction contribute to the ultimate phenotype of an organism: interactions between tissues, between cells, between organelles, between metabolic pathways, between genes, between individual molecules and hormones [e.g. [2]]. With the help of network analysis, the complexity of such interactions can be visualized — though admittedly, not always in a manner of easy comprehension — to develop new ideas and questions relevant to the aging process. If we consider organelles as one type of subsystem within a network, then when organelle A declines with age, a connection with organelle B may result in B's decline as well (depicted in Figure 1). These age-relevant connections can come in two flavors. In one case, a normal functional connection may become broken as organelle A declines — for example, A normally provides a biosynthetic product to B. Alternatively, a novel connection is created, with pathological consequences for B, as A declines. It is also possible that more than one subsystem may be sensitive to aging, albeit through distinct routes. How and whether these types of events occur are critical to developing a better understanding about aging.
A second type of interaction important in the aging process is the response of a biological system to changes — that is, the basis of homeostasis and biological anticipation. As an organism ages, what types of response or compensation occur, and what is the consequence of the response? For instance, is compensation ‘successful’ and does it help to prevent dysfunction, or does compensation result in unintended (negative) consequences, throwing different, interconnected, subsystems into dysfunction?
Recent results illustrating the importance of such interconnectivity in the aging process are highlighted below.
Section snippets
An example of the aging process at the cellular level: inter-organelle dependency
An individual (mother) cell of the budding yeast, Saccharomyces cerevisiae, divides asymmetrically and produces a finite number of daughter cells. This attribute has made it a model system for replicative cellular aging and has led the way for several discoveries that are shared with aging phenotypes in metazoa [3].
An example of subsystem dependency in the aging process is increased nuclear genome instability. In diploid lab strains carrying multiple heterozygous alleles, the frequency of
When more than one aging phenotype occurs in the same cell: are they connected?
Like vacuolar pH, another early asymmetry in age characteristics is the disproportionate accumulation of hydrogen peroxide in mother cells during cytokinesis — a phenomenon linked to an asymmetrical inheritance of pristine and active ROS defense systems [11, 12, 13, 14]. Inactivation of peroxide reductases is one consequence of such a progressive accumulation of peroxides during aging in both yeast and rats [15, 16•, 17] and that this inactivation impacts the rate of aging is evident by the fact
Examples of organelle/tissue interconnectivity behind life span extension
While nuclear, vacuolar, cytoplasmic, and mitochondrial defects can cause a sequential degeneration of interconnected subsystems, some organelle dysfunctions can actually extend life span. Recent examples from yeast highlight that mitochondrial dysfunctions can trigger a ‘successful’ nuclear response that delays aging. One such interconnected pathway, described as ‘mitochondrial back-signaling’, involves inter-organelle coordination of ribosomal biosynthesis between mitochondria and the nucleus
Concluding remarks
The quality control systems of an organism's organelles, tissues, and organs have traditionally been approached separately. Focusing instead on system interconnectivity, stress-sensitive nodes, and inter-organelle/tissue communication offers a different slant on damage propagation and the aging process. For example, part of the stochastic nature of survival may be understood in view of each subsystem displaying distinct predispositions to becoming non-functional in various individuals due to
References and recommended reading
Papers of particular interest, published within the period of review, have been highlighted as:
• of special interest
•• of outstanding interest
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