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Considerations for designing and analysing inter-generational studies in rodents

The environment experienced by an individual early in life has long-term health consequences. Here we summarize key factors that should be considered when designing studies in rodents that aim to address the developmental programming of metabolic disease.

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Fig. 1: Distinguishing between trans-generational and inter-generational studies.
Fig. 2: Examples of how using multiple offspring from the same litter can lead to incorrect experimental conclusions.
Fig. 3: A summary of the key considerations for experimental design in developmental programming studies.

References

  1. Gaillard, R., Steegers, E. A., Franco, O. H., Hofman, A. & Jaddoe, V. W. Int. J. Obes. (Lond.) 39, 677–685 (2015).

    Article  CAS  Google Scholar 

  2. Painter, R. C., Roseboom, T. J. & Bleker, O. P. Reprod. Toxicol. 20, 345–352 (2005).

    Article  CAS  Google Scholar 

  3. McLean, M. A. et al. Psychoneuroendocrinology 118, 104716 (2020).

    Article  CAS  Google Scholar 

  4. Haddad-Tóvolli, R. et al. Nat. Metab. 4, 424–434 (2022).

    Article  Google Scholar 

  5. Woods, L. et al. Nat. Commun. 8, 352 (2017).

    Article  Google Scholar 

  6. Napso, T., Hung, Y. P., Davidge, S. T., Care, A. S. & Sferruzzi-Perri, A. N. Sci. Rep. 9, 16916 (2019).

    Article  Google Scholar 

  7. Cooke, C. M. & Davidge, S. T. Am. J. Physiol. Heart Circ. Physiol. 317, H387–H394 (2019).

    Article  CAS  Google Scholar 

  8. Sampino, S. et al. J. Gerontol. A Biol. Sci. Med. Sci. 72, 1465–1473 (2017).

    Article  CAS  Google Scholar 

  9. Ashapkin, V., Suvorov, A., Pilsner, J. R., Krawetz, S. A. & Sergeyev, O. Hum. Reprod. Update https://doi.org/10.1093/humupd/dmac033 (2022).

    Article  Google Scholar 

  10. Savage, T. et al. Clin. Endocrinol. 79, 379–385 (2013).

    Article  Google Scholar 

  11. Bohn, C. et al. Acta Paediatr. 110, 1218–1224 (2021).

    Article  Google Scholar 

  12. Widdowson, E. M. & Kennedy, G. C. Proc. R. Soc. Lond., B 156, 96–108 (1962).

    Article  CAS  Google Scholar 

  13. Skowronski, A. A., Shaulson, E. D., Leibel, R. L. & LeDuc, C. A. Int. J. Obes. (Lond.) 46, 39–49 (2022).

    Article  CAS  Google Scholar 

  14. Glavas, M. M. et al. Endocrinology 151, 1598–1610 (2010).

    Article  CAS  Google Scholar 

  15. Sandovici, I., Fernandez-Twinn, D. S., Hufnagel, A., Constância, M. & Ozanne, S. E. Nat. Metab. 4, 507–523 (2022).

    Article  Google Scholar 

  16. Dearden, L., Bouret, S. G. & Ozanne, S. E. Mol. Metab. 15, 8–19 (2018).

    Article  CAS  Google Scholar 

  17. Heidari, S., Babor, T. F., De Castro, P., Tort, S. & Curno, M. Res. Integr. Peer Rev. 1, 2 (2016).

    Article  Google Scholar 

  18. Winham, S. J. & Mielke, M. M. Nat. Metab. 3, 1586–1588 (2021).

    Article  Google Scholar 

  19. Tarry-Adkins, J. L. & Ozanne, S. E. Proc. Nutr. Soc. 73, 289–301 (2014).

    Article  CAS  Google Scholar 

  20. Nätt, D. et al. PLoS Biol. 17, e3000559 (2019).

    Article  Google Scholar 

  21. Chan, J. C., Nugent, B. M. & Bale, T. L. Biol. Psychiatry 83, 886–894 (2018).

    Article  Google Scholar 

  22. Sorge, R. E. et al. Nat. Methods 11, 629–632 (2014).

    Article  CAS  Google Scholar 

  23. Byers, S. L., Wiles, M. V., Dunn, S. L. & Taft, R. A. PLoS One 7, e35538 (2012).

    Article  CAS  Google Scholar 

Download references

Acknowledgements

Our work is supported by the MRC (MC_UU_00014/4), BHF (RG/17/12/33167 and PG/20/11/34957) and Royal Society (DHF\R1\221051).

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Correspondence to Laura Dearden or Susan E. Ozanne.

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Dearden, L., Ozanne, S.E. Considerations for designing and analysing inter-generational studies in rodents. Nat Metab 5, 1–4 (2023). https://doi.org/10.1038/s42255-022-00721-7

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