Age-Adjustment Expertise in Rat Models of Human Diseases


Atayik M. C., Çakatay U.

Emerging Anti-Aging Strategies, Syed Ibrahim Rizvi, Editör, Springer, London/Berlin , Berlin, ss.331-340, 2023

  • Yayın Türü: Kitapta Bölüm / Araştırma Kitabı
  • Basım Tarihi: 2023
  • Yayınevi: Springer, London/Berlin 
  • Basıldığı Şehir: Berlin
  • Sayfa Sayıları: ss.331-340
  • Editörler: Syed Ibrahim Rizvi, Editör
  • İstanbul Üniversitesi-Cerrahpaşa Adresli: Evet

Özet

Rat models are the most frequently used models in preclinical and clinical trials because of having smaller body size, easier maintenance, presenting similar metabolomic and genomic characteristics with humans. It is much easier and more ethical to sight rats’ life periods in laboratory husbandry conditions due to their higher reproductive capacities and adaptive abilities. However, in different life stages like prepubescence, adolescence, etc., rats’ aging rates vary differently. Age-adjustment expertise is necessary to be taken into consideration if the research purpose is related to time correlation with the human life scale and disease stage due to mentioned reasons. When mimicking human diseases in rat models, it is crucial to determine proper durations of established pathology, adjust accurate administration periods of pharmacologic approach, and decide tissue sampling time. In this chapter, we have expressed how fast rats are in different life stages compared to humans, with the term we proposed Aging Rate Coefficient (ARC), which we have derived based on multiple statistical data. We have revealed the correlation errors in many conducted research. In this respect, our chapter, besides contributing to the literature with the new term, ARC, is also capable of guiding many future researches. In order to assess adjusted human-rat age algorithms for preclinical and clinical trials, it is necessary to conduct more studies for comparable outcome measures and future strategies.