Skip to main content

OPINION article

Front. Neurol., 17 March 2017
Sec. Neurotrauma

How to Translate Time? The Temporal Aspect of Human and Rodent Biology

  • 1Department of Anatomy, Physiology and Genetics, Uniformed Services University, Bethesda, MD, USA
  • 2Department of Neuroscience, Karolinska Institutet, Stockholm, Sweden

Therapeutic interventions can only be effective when administered during their specific “therapeutic window.” A multitude of clinical trials based on highly successful preclinical studies performed mostly in rodents have failed to translate into similarly successful clinical outcomes (14). One potentially important but largely ignored factor contributing to these fiascoes is the different biological timescales of rodents versus humans. Here, I compare the rodent and human timescales of major biological events and show that while the timescales of biochemical processes such as enzyme kinetics might be comparable, more complex biological processes such as gestation, sexual maturation, lifespan, etc., run on vastly different timescales in rodents compared to humans. These comparisons strongly indicate that a “rat hour” or “rat day” is also not equivalent to a “human hour” or “human day”—and vice versa—when it comes to clinically relevant complex pathologies, such as sepsis, or inflammation (5).

Rodent models of normal biology and diseases are the backbone of modern biomedical research. Species differences have been documented (6), and our lack of understanding between the timescales of rodent and human physiological and pathological processes has been raised during various scientific meetings. Earlier papers have discussed the time differences between rodents and human (7, 8). However, to our knowledge, this is the first paper that summarizes available data about time differences in normal biological processes between the two species in a comprehensive manner.

Pathological processes, especially in case of acute CNS disorders such as traumatic brain injury or stroke, can change rapidly over time so the therapeutic window can be easily missed. One potentially important, but mostly ignored factor contributing to the failed translations of experimental findings into clinical practice is the different biological timescales of rodents versus humans. The simplest biochemical process, such as enzyme kinetics, is on a similar timescale in rodents and in humans (911). However, as complexity of the biological process grows, the differences between the timescales of the two species also grow (Table 1). For example, m/tRNA turnover is ~2.5 times faster in rodents (rat) than in humans, whereas protein turnover is ~10 times faster in rodents (1215). Basal metabolic rate (BMR) is defined as “the minimal rate of energy expenditure per unit time by endothermic animals at rest” (16). The BMR in rats is 8 W/kg as opposed to 1.25 W/kg in humans; in other words, the BMR is ~6.4 times faster in the rodent. Heart rate is on average ~4.7 times faster in the rat than in the human (260–400 versus 60–80 beats/min), and respiratory rate is ~6.3 times faster in the rat than in the human (75–115 versus 12–18/min).

TABLE 1
www.frontiersin.org

Table 1. Timelines of basic biological processes in the human and in the rat.

Compared to humans, rodents live short and accelerated lives (Table 1). Rats live up to 3 years (1,095 days) (7, 8) compared to humans’ ~80 years (29,200 days) (developed countries average, UN World Population Prospects). Generally speaking, rats live ~27 times faster, meaning that 1 rat day would be around 27 human days, and ~13.5 rat days would be the equivalent of 1 human year. Importantly, the temporal differences between humans and rats vary depending on the phase of life. Gestation is completed within 23 days of conception in rats compared to 280 days in humans, indicating an ~12 times accelerated process. Weaning is completed by 34 days postpartum in rats compared to an average of 180 days in humans, an ~5 times faster process. Rats reach sexual maturity around the age of 50 days, whereas humans reach sexual maturity around the age of 11.5 years (4,197 days). Thus, sexual maturation is ~84 times faster in rats where ~4.3 rat days are the “equivalent” of 1 human year. Adulthood, as determined by full musculoskeletal maturity (i.e., the completed fusion of growth plates) is reached by 210 days of age in rats and around 20 years (7,300 days) in humans. This process is ~35 times faster in rats where 1 human year is roughly the equivalent of 10.5 rat days. Reproductive senescence in humans begins at around 51 years (18,615 days) compared to rats’ 15–20 months (~532 days), indicating a 35 times faster process. During adulthood then, one human year would be the equivalent of 12 rat days. Rats live post-senescence for an average of 16 months (486 days) compared to the human period of 29 years (10,585 days); thus, in this phase of life 1 human year would be roughly equal to 17 rat days.

These differences are not surprising given the striking anatomical differences between the species. The “accelerated development” of the rodent seems obvious if we take into account just the differences in size between the rodent and human bodies (0.025–0.4 kg versus 70 kg, a 2,800 − 175 × difference) or brains (0.5–1.8 g versus 1,300 g, a 2,500 − 722 × differences) between rodents and humans. However, these comparisons suggest that complex pathobiological processes, such as inflammatory responses, may also run on different timescales in rodents and in humans. Indeed, the genomic responses in various inflammatory conditions were ~30–50 times faster in the rodent (mice) than in human (5). The ability to precisely translate time between experimental findings using rodent models and clinical practice is especially critical for conditions such as stroke, myocardial infarction, or traumatic brain injury, where the pathological processes are rapidly changing. The efficacy of pharmacological or other interventions that critically depend on timing, e.g., the “golden hour” for thrombolytic treatments in myocardial infarction or ischemic stroke were determined clinically and not by rodent studies (17, 18). Our lack of understanding about the temporal differences between rodent and human pathological processes has likely contributed to the 100% failure rate of neuroprotective treatments showing efficacy in rodent models of TBI (3, 19, 20). Rodent models have provided critical insights into disease mechanisms and helped to identify drug targets. Their usefulness can be greatly increased if we learn how to translate time between species.

Summary and Future Directions

Available data indicate that there are substantial differences between rodent and human timescales in normal biological processes. Identifying the differences between the rodent and human timescales is especially important to translate successful experimental treatment into clinical practice in acquired disorders such as stroke or TBI. In the absence of detailed information however, no conversion between the two timescales can be formulated. In order to be able to better “translate time” between experimental and clinical studies, we need to perform more longitudinal studies using comparable outcome measures involving both sexes/genders.

Author Contributions

The author confirms being the sole contributor of this work and approved it for publication.

Conflict of Interest Statement

The author declares that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Acknowledgments

The author thanks Ms. Alaa Kamnaksh for her comments and editorial suggestions.

References

1. Baker D, Amor S. Mouse models of multiple sclerosis: lost in translation? Curr Pharm Des (2015) 21(18):2440–52. doi:10.2174/1381612821666150316122706

PubMed Abstract | CrossRef Full Text | Google Scholar

2. Corbett D, Jeffers M, Nguemeni C, Gomez-Smith M, Livingston-Thomas J. Lost in translation: rethinking approaches to stroke recovery. Prog Brain Res (2015) 218:413–34. doi:10.1016/bs.pbr.2014.12.002

PubMed Abstract | CrossRef Full Text | Google Scholar

3. Schumacher M, Denier C, Oudinet JP, Adams D, Guennoun R. Progesterone neuroprotection: the background of clinical trial failure. J Steroid Biochem Mol Biol (2016) 160:53–66. doi:10.1016/j.jsbmb.2015.11.010

PubMed Abstract | CrossRef Full Text | Google Scholar

4. Talevi A, Bellera CL, Di Ianni M, Gantner M, Bruno-Blanch LE, Castro EA. CNS drug development – lost in translation? Mini Rev Med Chem (2012) 12(10):959–70. doi:10.2174/138955712802762356

CrossRef Full Text | Google Scholar

5. Seok J, Warren HS, Cuenca AG, Mindrinos MN, Baker HV, Xu W, et al. Genomic responses in mouse models poorly mimic human inflammatory diseases. Proc Natl Acad Sci U S A (2013) 110(9):3507–12. doi:10.1073/pnas.1222878110

PubMed Abstract | CrossRef Full Text | Google Scholar

6. Couzin-Frankel J. When mice mislead. Science (2013) 342(6161):922–3. doi:10.1126/science.342.6161.922

CrossRef Full Text | Google Scholar

7. Andreollo NA, Santos EF, Araujo MR, Lopes LR. Rat’s age versus human’s age: what is the relationship? Arq Bras Cir Dig (2012) 25(1):49–51. doi:10.1590/S0102-67202012000100011

PubMed Abstract | CrossRef Full Text | Google Scholar

8. Quinn R. Comparing rat’s to human’s age: how old is my rat in people years? Nutrition (2005) 21(6):775–7. doi:10.1016/j.nut.2005.04.002

CrossRef Full Text | Google Scholar

9. Goodman JI, Tephly TR. A comparison of rat and human liver formaldehyde dehydrogenase. Biochim Biophys Acta (1971) 252(3):489–505. doi:10.1016/0304-4165(71)90152-8

CrossRef Full Text | Google Scholar

10. Juchau MR, Zachariah PK. Comparative studies on the oxidation and reduction of drug substrates in human placental versus rat hepatic microsomes. Biochem Pharmacol (1975) 24(2):227–33. doi:10.1016/0006-2952(75)90281-6

CrossRef Full Text | Google Scholar

11. Tallan HH, Cohen PA. Methionine adenosyltransferase: kinetic properties of human and rat liver enzymes. Biochem Med (1976) 16(3):234–50. doi:10.1016/0006-2944(76)90029-6

CrossRef Full Text | Google Scholar

12. Schoch G, Topp H, Held A, Heller-Schoch G, Ballauff A, Manz F, et al. Interrelation between whole-body turnover rates of RNA and protein. Eur J Clin Nutr (1990) 44(9):647–58.

PubMed Abstract | Google Scholar

13. Dunlop D. Protein turnover in the brain. In:Lajtha A, editor. Handbook of Neurochemistry; Volume 5, Metabolic Turnover in the Nervous System. New York: Springer (1983). p. 25–57.

Google Scholar

14. Johnson T. Transfer RNA. In:Lajtha A, editor. Handbook of Neurochemistry; Volume 5, Metabolic Turnover in the Nervous System. New York: Springer (1983). p. 205–17.

Google Scholar

15. Giuffrida A. Nucleic acid in the developing brain. In:Lajtha A, editor. Handbook of Neurochemistry; Volume 5, Metabolic Turnover in the Nervous System. New York: Springer (1983). p. 227–51.

Google Scholar

16. McNab BK. On the utility of uniformity in the definition of basal rate of metabolism. Physiol Zool (1997) 70(6):718–20. doi:10.1086/515881

CrossRef Full Text | Google Scholar

17. Hajjar K, Kerr DM, Lees KR. Thrombolysis for acute ischemic stroke. J Vasc Surg (2011) 54(3):901–7. doi:10.1016/j.jvs.2011.04.062

PubMed Abstract | CrossRef Full Text | Google Scholar

18. O’Rourke RA. Management of patients after myocardial infarction and thrombolytic therapy. Curr Probl Cardiol (1994) 19(4):179–226. doi:10.1016/0146-2806(94)90004-3

CrossRef Full Text | Google Scholar

19. Stein D. Lost in translation. Future Neurol (2015).

Google Scholar

20. Stein DG. Embracing failure: what the phase III progesterone studies can teach about TBI clinical trials. Brain Inj (2015) 29(11):1259–72. doi:10.3109/02699052.2015.1065344

PubMed Abstract | CrossRef Full Text | Google Scholar

21. Baker HJ, Lindsey JR, Weisbroth SH. Selected normative data: Appendix 1. In: Baker HJ, editor. The Laboratory Rat Volume 1. New York: Academic press (1979). 411 p.

Google Scholar

22. Romijn HJ, Hofman MA, Gramsbergen A. At what age is the developing cerebral cortex of the rat comparable to that of the full-term newborn human baby? Early Hum Dev (1991) 26(1):61–7. doi:10.1016/0378-3782(91)90044-4

PubMed Abstract | CrossRef Full Text | Google Scholar

23. Sengupta P. The laboratory rat: relating its age with human’s. Int J Prev Med (2013) 4(6):624–30.

PubMed Abstract | Google Scholar

24. Kohn DF, Clifford CB. Biology and diseases of rats. In: Fox JG, Anderson LC, Lowe FM, Quimby FW, editors. Laboratory Animal Medicine. New York: Academic Press (2002). p. 121–65.

Google Scholar

Keywords: translation, species, differences, time, humans, rats, mice

Citation: Agoston DV (2017) How to Translate Time? The Temporal Aspect of Human and Rodent Biology. Front. Neurol. 8:92. doi: 10.3389/fneur.2017.00092

Received: 22 December 2016; Accepted: 27 February 2017;
Published: 17 March 2017

Edited by:

Ibolja Cernak, University of Alberta, Canada

Reviewed by:

Linda Noble, University of California San Francisco, USA
C. Edward Dixon, University of Pittsburgh, USA

Copyright: © 2017 Agoston. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Denes V. Agoston, denes.agoston@usuhs.edu

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.