You can find the 'level of change from control' of the parameters for male and female and then compare them using t-tests. This level of change may be expressed as percent change or fold change, for example. A t-test should reveal if there are differences in the 'level of change' for male vs females. This should inform you if the effect you are looking at is more pronounced in one sex compared to the other.

I do agree with Martin Job, a t test can be used, however, what's about the number of animals in each group?.

Hi Nitish,

When comparing male and female rodents, you have to keep in mind that ovarian and testicular steroid hormones influence behavior and therapeutic outcome of external treatments. If you are using gonadectomized animals in both sexes of the same age, then you can make multiple comparison, say for example, male vs male, male vs female or vise versa. The results should be good enough if you have clear differences, even, if the number of animals is low ( e.g. 3 or 4), although, higher number of animals and control in each sex group is always good.

Good luck

Khan

Hi,

I recommend this paper: Miller et al. (2017). Considering sex as a biological variable in preclinical research. The FASEB Journal 2017 31:1, 29-34. (Free access here: https://www.fasebj.org/doi/full/10.1096/fj.201600781R)

This article is meant as a guide to preclinical investigators as recommends methods and techniques for the inclusion of both sexes in preclinical research.

All the best,

Ann