The set of enzymes expressed in both the tissues has significantly different proportion. So is there any way to correlate the metabolism of both the organs (in ref to phase 1 and 2 metabolism theoretically)? Say, for example; CYP1B1 represent 6% of liver CYP whereas, in kidney, it represents 23%. Will it affect compounds metabolised via 1B1?
I am exactly trying to identify the xenobiotic metabolizing potential of the kidney by estimating CYPs at mRNA level. However, liver is the major organ associated with metabolism. Therefore, metabolism addressed in reference to liver should be done. So is there any particular point based on which comparison can be built? My work is in vitro. I tried comparing mRNA levels of CYPs between my cell line and cell line of liver origin hepg2. Anything else possible on this viewpoint?
"Metabolism" in the context of your question is a rather nebulous term. Refine your question as to precisely what is it you are trying to study then perhaps people in the your field with specific experience can offer you useful information.
In general, however, there is a teleological reason why cells from different organs behave differently - they are tasked with non-identical responsibilities!
In your example, you have already answered your question.
I agree with Dr. Alam and Khanal. The word metabolism should be narrowed down, however, looking at the question, the answer is already there with the brief explanation given.
Dear Heta,
The word "metabolism" in your question is indistinct.
Narrow down this word!
If your interest is in a comparative study of specific xenobiotic metabolism in kidney versus liver, you will have to do just that - test in both organs or possibly cells derived from both organ (with an assumption that these cells behave substantially the same a the cells in parental organs, which in some cases is a flawed assumption).
To extrapolate, you may be able to make additional assumptions that compounds that belong to the same class, may also be metabolized in a similar manner by both organs. However, that would only be a reasonable expectation, which may be trumped by empirical observations.
Bottom line is that biological science in not computer science and the former does not always conform to one's preconceived notions, especially because these notions tend to be based on simplistic or even flawed assumptions.
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