Schild Plot and Reuptake Extra Lecture (3a) PDF

Title Schild Plot and Reuptake Extra Lecture (3a)
Author Malachi Casey
Course Receptor Mechanisms
Institution University College London
Pages 2
File Size 93.9 KB
File Type PDF
Total Downloads 94
Total Views 139

Summary

Receptor Mechanisms Level 7 Notes...


Description

The impact of re-uptake of agonist on Schild analysis. Why the Schild plot is the way it is if we don’t take care of re-uptake processes that affect the agonist concentrations as we apply them. The easiest way to address that question is to consider some faked data e.g. Table 1 below. We start with the case where there is no problem with re- uptake. Table 1. A50: Agonist Conc producing 50% response (nM) 50 75 300 2550 25000 250000

Antagonist Concentration. 0 10 100 1000 10,000 100,000

Dose ratio (r)

1.5 6.0 51 500 5000

Log10(r-1)

-0.30 0.70 1.70 2.70 3.70

Log10[B]

1 2 3 4 5

The corresponding Schild plot is exactly what we expect for a reversible competitive antagonist – a straight line with a slope of “1”.

Figure 1. Schild plot generated using the data in Table 1, where there are no complications caused by re-uptake and the data fall on a straight line with a slope of “1”.

Now we think about what will happen to the A50 values when uptake mechanisms are not inhibited. The biggest impact will be on the lowest A50 values (i.e. before the uptake mechanisms saturate). In Table 2 (below) the A50 values from Table 1 have been altered to reflect this. The lowest concentration has been increased by a factor of 10. The next A50 value, which will be slightly less affected, has been increased by a factor of 8.6, the next by a factor of 3, the next by a factor of 1.17 and I have left the last two values unchanged (on the grounds that the uptake mechanisms will not be able to impact such high concentrations). Table 2. A50 values affected by re-uptake of agonist. A50: Agonist Conc producing 50% response (nM). 500 650 900 3000 25000 250000

Antagonist Concentration.

Dose ratio (r)

Log10(r-1)

0 10 100 1000 10,000 100,000

1.5 6.0 51 500 5000

-0.30 0.70 1.70 2.70 3.70

Log10[B]

1 2 3 4 5

The Schild plot (check it yourself using Table 2) then looks like this:

Fig. 2. The data plotted from Table 2 (filled circles), along with the line which the Schild data should fall on....


Similar Free PDFs