| Literature DB >> 30140178 |
Rehana K Leak1, Edward J Calabrese2, Walter J Kozumbo3, Jeffrey M Gidday4, Thomas E Johnson5, James R Mitchell6, C Keith Ozaki7, Reinhard Wetzker8, Aalt Bast9, Regina G Belz10, Hans E Bøtker11, Sebastian Koch12, Mark P Mattson13, Roger P Simon14, Randy L Jirtle15, Melvin E Andersen16.
Abstract
Human performance, endurance, and resilience have biological limits that are genetically and epigenetically predetermined but perhaps not yet optimized. There are few systematic, rigorous studies on how to raise these limits and reach the true maxima. Achieving this goal might accelerate translation of the theoretical concepts of conditioning, hormesis, and stress adaptation into technological advancements. In 2017, an Air Force-sponsored conference was held at the University of Massachusetts for discipline experts to display data showing that the amplitude and duration of biological performance might be magnified and to discuss whether there might be harmful consequences of exceeding typical maxima. The charge of the workshop was "to examine and discuss and, if possible, recommend approaches to control and exploit endogenous defense mechanisms to enhance the structure and function of biological tissues." The goal of this white paper is to fulfill and extend this workshop charge. First, a few of the established methods to exploit endogenous defense mechanisms are described, based on workshop presentations. Next, the white paper accomplishes the following goals to provide: (1) synthesis and critical analysis of concepts across some of the published work on endogenous defenses, (2) generation of new ideas on augmenting biological performance and resilience, and (3) specific recommendations for researchers to not only examine a wider range of stimulus doses but to also systematically modify the temporal dimension in stimulus inputs (timing, number, frequency, and duration of exposures) and in measurement outputs (interval until assay end point, and lifespan). Thus, a path forward is proposed for researchers hoping to optimize protocols that support human health and longevity, whether in civilians, soldiers, athletes, or the elderly patients. The long-term goal of these specific recommendations is to accelerate the discovery of practical methods to conquer what were once considered intractable constraints on performance maxima.Entities:
Keywords: J-shaped; U-shaped; adaptation; biphasic; caloric restriction; conditioning; dietary restriction; dose–response; endurance; epigenetics; fitness; hormesis; preconditioning; stress; tolerance
Year: 2018 PMID: 30140178 PMCID: PMC6096685 DOI: 10.1177/1559325818784501
Source DB: PubMed Journal: Dose Response ISSN: 1559-3258 Impact factor: 2.658
Figure 1.The traditional biphasic dose–response curve. Biological fitness as a function of stimulus intensity. The mathematical features of a typical biphasic dose–response curve in the literature are displayed. At low doses, a single exposure to a stimulus elicits a modest increase in cellular fitness according to the principles of hormesis. With increasing stressor intensity, cellular defense systems are overwhelmed, and frank toxicity emerges at stimulus levels greater than the no observable adverse effect level (NOAEL).
Systematic Approach for Optimal Hormetic Dose and Frequency.
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(a) Systematically vary the dose, concentration, or intensity of the hormetic stimulus |
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(b) The outcome measure should reflect viability, resilience, or fitness |
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(i) Use at least 2 independent assays of fitness to assess both structure and function (eg, assessments of hippocampal neurogenesis or pyramidal/granule cell numbers might be complemented by the Morris water maze for spatial learning and memory) |
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(ii) An array of measurements with unequal weight distributions (eg, bioenergetic changes might be important) may be useful to design an integrated health assessment equation, vascular health index, etc[ |
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(iii) The fitness assays or integrated health indices should exhibit both sensitivity and linearity and display a sufficiently wide dynamic range |
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(iv) Include a sufficiently wide range of stimulus doses to ensure that the response plateaus are reached in the dose–response graph ( |
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(c) Choose the dose with the highest stimulatory effect at the positive peak of the hormetic curve from step 1biii |
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(i) The optimal dose is defined as the stimulus dose that generates the highest amplitude beneficial effect upon the fitness measure |
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(a) Find the time point at which the amplitude of the positive effect size is highest in the fitness assays from step 1bi |
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(b) (Here, we have not made any systematic recommendations for changing the timing of the stimulus or changing the duration of exposure. However, it may be important to control for the animal’s photoperiod and Zeitgeber time, as well as the timing of any conditioning stimulus relative to the challenge stimulus, should you decide to employ these steps in a dual-hit/conditioning study) |
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(a) Apply an increasing number of “hormetic hits” to test if the amplitude of the positive fitness change might be raised even higher |
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(i) Begin by applying the sequential “hits” at 48-72 hour intervals (this is the optimal interval between ischemic preconditioning |
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(ii) Keep the measurement outcomes (step 1bi) and the assay time point (step 2a) constant. In other words, change only one variable at a time |
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(b) Continue increasing the number of exposures until the |
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(i) Test for enduring stimulatory effects and perhaps lifespan extension |
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(ii) Examining lifespan will answer whether or not aged organisms can also be reprogrammed by these methods |
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(c) Assess potentially adverse effects of repeated hormetic hits upon body weight, inflammation markers, liver toxicity, brain function (cognition, sensorimotor coordination, anxiety, etc), physical strength, mobility, and endurance, mortality, etc |
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(i) The long-term goal is to plot the fitness index or an integrated health assessment as a function of dose, number of stimulations, frequency, duration, age, gender, comorbidities, etc |
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(ii) Comorbidities and aging might shift the dose–response curves to the left so that otherwise innocuous doses turn destructive. Variables such as exercise and antioxidant intake might also influence the shape of the dose–response curve[ |
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(a) Assess the metabolome, proteome, genome, epigenome, etc |
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(i) Identify genes that are “trainable” by repetitive conditioning |
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(ii) Note any adverse effects upon these particular biochemical measures |
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(b) Knock out, knock down, or selectively inhibit the top candidates identified in 4ai |
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(i) Ideal candidates might be those at the “hourglass” funnel (eg, mitohormetic factors, master gatekeeper transcription factors, etc). There is a large body of literature for guidance on identifying the top hormesis gene candidates |
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(ii) Test whether the hormetic response is abolished after loss of function or removal of these candidates with molecular/genetic/pharmacological tools |
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(c) If step 4bii fails, continue to step 5 to identify a common biological pathway for 2 classes of hormetic stimuli to further narrow the list of molecular candidates |
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(a) Repeat steps 1-3 for this new class of stimulus |
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(i) Combine the optimal doses and temporal intervals for both stimuli |
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(b) Systematically test whether the effects of the combined stimuli upon the amplitude of the hormetic “fitness” change are greater than additive |
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(c) Repeat step 4 to identify any overlap in the individually stimulated biological pathways and synergy in the costimulated pathways |
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(i) Is there a common biological pathway whose activity is potentiated by coapplication of 2 synergistic, hormetic stimuli? Answering this question might help identify the mechanism underlying hormesis |
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(d) Identify any adverse effects of synergistic hormetic stimuli upon long-term function, such as the hypothalamic–pituitary–adrenal axis, mental and physical stamina, health span, and lifespan (see step 3c) |
Figure 2.Kinetics of stress protein accumulation after repetitive exposure to cocaine. Repeated exposure to the biochemical stress of cocaine leads to chronic changes in activator protein -1 (AP-1) complex protein ΔFosB in the lower panel. This “staircase” pattern in induced gene expression is analogous to the proposed “layered” hormetic effects of repetitive conditioning and might be measured at the level of the “hormesis proteome.” The accumulated level of ΔFosB isoform expression continues after the cessation of the stimulus (arrows at bottom of figure). Adapted from Nestler et al. (2008).[295]
Figure 3.Idealized hormesis enhancement/extension curve. Biological fitness (ie, integrated indices of health) as a function of repeated exposures to optimized hormetic stimuli applied at rhythmic intervals. The amplitude of the hormetic maximum is extended to the genetically determined peak until age-related loss of fitness overwhelms natural defense systems and the inevitable (but perhaps delayed) engagement of senescence programs culminates in death. Note that death should result because of the passage of time rather than stimulus exposures per se. A single hormetic stimulus exposure results in a modest amplitude effect and a time-limited response, but repeated exposures build, in stepwise manner, the layers of a strong foundation for an extended, high-amplitude response. Other assumptions of this idealized graph include that environmental stimuli such as dietary/lifestyle factors are optimized so that the maximal epigenetic/genetic potential can be reached. Hormetic maxima may vary with gender, genetic vulnerabilities, geographic region (eg, altitude), age, comorbidities, etc.