Abstract

Past theories on total lifetime energy expenditures and entropy generation in biological systems (BS) dealt with whole systems, but the recent literature suggests that the total metabolic rate of a BS,q̇body (W) is a sum of product of specific metabolic rate q̇k,m (W/kg of organ k) of each vital life organ, k {k = brain, heart, kidney and liver, or abbreviated as BHKL, and rest of the organ mass (R)} and mass of each organ k (mk). Using this hypothesis, Kleiber’s law on metabolic rate of BS (q̇body) for animals of different sizes was validated. In this work, a similar procedure is adopted in estimating total entropy generation rate of whole human body (σ̇body, W/K) as a sum of product of specific entropy generation rate for each organ, σ̇k,m (W/{K kg of organ k·}) and the organ mass at any given age (t). Further integrating over life span for each organ (tlife), the lifetime specific entropy generated by organ k, σk,m,life (J of organ k/ {K kg organ k}) is calculated. Then lifetime entropy generation of unit body mass, σbody,M,life (J/{K kg body mass·}) is calculated as a sum of the corresponding values contributed by all vital organs to unit body mass and verified with previously published literature. The higher the σk,m,life , the higher the entropy stress level (which is a measure of energy released by unit organ mass of k as heat) and the irreversibility within the organ, resulting in faster degradation of organ and the consequent health problems for the whole BS. In order to estimate σ̇k (W/K of organ k), data on energy release rate (q̇) is needed over lifetime for each organ. While the Adequate Macronutrients Distribution Range (AMDR)/Adequate Intake (AI) publication can be used in estimating the energy intake of whole body vs. age for the human body, the energy expenditure data is not available at organ level. Hence the σk,m,life was computed using existing allometric laws developed for the metabolism of the organs, the relation between the mk of organ and body mass mB, and the body mass growth data mB(t) over the lifetime. Based on the values of σk, m, life, the organs were ranked from highest to lowest entropy generation and the heart is found to be the most entropy-stressed organ. The entropy stress levels of the other organs are then normalized to the entropy stress level (NESH) of the heart. The NESH values for organs are as follows: Heart: 1.0, Kidney: 0.92, Brain: 0.46, Liver: 0.41, Rest of BS: 0.027. If normalized to rest of body (R), NESR, heart: 37, Kidney: 34, Brain: 17, Liver: 15, Rest of BS: 1.0; so heart will fail first followed by kidney and other organs in order. Supporting data is provided.

Highlights

  • Introduction and Literature ReviewThe quest for a longer, healthier lifespan of biological systems (BS) ranging from the smallest microbes to the largest mammals and plants is the subject of intensive research and publications.Living organisms constantly need nutrients to generate energy in order to perform vital life sustaining functions including more than one million different types of metabolic reactions driven by the action of enzymes derived from food [1]

  • All potential gradients which are responsible for sustenance of life or entropy generation cease to exist at death, i.e., cumulative entropy generated over life span reaches a peak value at death

  • A few of the hypotheses proposed to estimate lifespan are summarized below: Cell Copy Error Theory (CCE): Under “cell copy error” theory [6], erroneous synthesis of the first set of proteins may lead to more error in second set of proteins leading to accumulation of copying error

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Summary

Introduction and Literature Review

The quest for a longer, healthier lifespan of biological systems (BS) ranging from the smallest microbes to the largest mammals and plants is the subject of intensive research and publications. Silva and Annamalai [16] adopted availability concepts, modified REG (MREG) theory by accounting for ATP production and physical activity level, and derived an expression for global entropy generation for the whole body of BS. They estimated specific entropy generation rate of whole body, M, (J/ {kg body K}) as a function of age of the BS, and determined variation specific entropy generation, SEG (J/ {K kg body}) of the whole body of BS with age (t): J kg bodymass K. t birth with t = tlife, M, body, life can be estimated. The Appendix A.1 includes additional supporting information about Allometric and Scaling Relations

Rationale and Objective
Analysis
Availability Analysis
Assumptions
Irreversibility of Organs and Heat Transfer from Organs
H H VO 2 m
Results and Discussion
Nutrient Data
Growth Data
Results
Life Span Organ Entropy Generation
Life span Specific Entropy Generation of Whole Body
Effect of Nutrients
Relation to Life Span
Conclusions
Alternate Allometric Relations
Integration
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