1. Dear Drugs-Forum readers: We are a small non-profit that runs one of the most read drug information & addiction help websites in the world. We serve over 4 million readers per month, and have costs like all popular websites: servers, hosting, licenses and software. To protect our independence we do not run ads. We take no government funds. We run on donations which average $25. If everyone reading this would donate $5 then this fund raiser would be done in an hour. If Drugs-Forum is useful to you, take one minute to keep it online another year by donating whatever you can today. Donations are currently not sufficient to pay our bills and keep the site up. Your help is most welcome. Thank you.
    PLEASE HELP

Pharmacological profile of antidepressants and related compounds at human monoamine transporters.

Pharmacological profile of antidepressants and related compounds at human monoamine transporters.

  1. ThirdEyeFloond
    Eur J Pharmacol. 1997 Dec 11;340(2-3):249-58.

    Tatsumi M, Groshan K, Blakely RD, Richelson E.

    Using radioligand binding assays, we determined the equilibrium dissociation constants (KD's) for 37 antidepressants, three of their metabolites (desmethylcitalopram, desmethylsertraline, and norfluoxetine), some mood stabilizers, and assorted other compounds (some antiepileptics, Ca2+ channel antagonists, benzodiazepines, psychostimulants, antihistamines, and monoamines) for the human serotonin, norepinephrine, and dopamine transporters. Among the compounds that we tested, mazindol was the most potent at the human norepinephrine and dopamine transporters with KD's of 0.45 +/- 0.03 nM and 8.1 +/- 0.4 nM, respectively. Sertraline (KD = 25 +/- 2 nM) and nomifensine (56 +/- 3 nM) were the two most potent antidepressants at the human dopamine transporter. We showed significant correlations for antidepressant affinities at binding to serotonin (R = 0.93), norepinephrine (R = 0.97), and dopamine (R = 0.87) transporters in comparison to their respective values for inhibiting uptake of monoamines into rat brain synaptosomes. These data are useful in predicting some possible adverse effects and drug-drug interactions of antidepressants and related compounds.