Lobeline binds with high affinity to α4β2 nAChRs and displays mixed receptor agonist/antagonist actions (e.g., [150–154]).
Lobeline has, however, been shown to antagonize partially the stimulus effects of (-)-nicotine and S(+)-methamphetamine ([64, 160]; but see [66]).
In comparison, S(-)-nicotine was shown to be 7 times more toxic than R(+)-nicotine in rats injected intravenously
. It should be noted that hexamethonium, at relatively low doses, does not block the stimulus effects of (-)-nicotine but when administered at high doses has occasionally been reported to attenuate nicotine-like responding; probably the result of penetration into the CNS of a small proportion of the administered dose of drug (e.g., [35, 38, 64, 106, 146])
This conclusion is based on the fact that the stimulus effects of nicotine are convincingly blocked by (a) mecamylamine, a voltage dependent noncompetitive channel blocker at nicotinic receptors (Fig. 3; Table 4) and (b) dihydro-β-erythrodine (DHβE), a nicotinic receptor antagonist that shows high affinity for the nAChR α4β2 subunit (Fig. 3; Table 5) but not by methyllycaconitine (MLA), a α7 nicotinic receptor antagonist (Table 5).
Mecamylamine (Inversine®, Vecamyl®; Fig. 3) was developed over 60 years ago and marketed as a ganglionic blocker for the treatment of hypertension (e.g., [127])
In addition, mecamylamine can produce CNS effects that include tremor, mental confusion, seizures, mania, and depression but the mechanisms by which these effects are produced are unclear
Also, mecamylamine is sometimes used as an anti-addictive drug to help people stop smoking tobacco products (e.g.,[128, 129])
Biochemical and pharmacological studies have characterized mecamylamine as a nonselective, voltage dependent and noncompetitive receptor antagonist of neuronal nAChRs and it is often referred to as a “nicotine receptor antagonist.”
For example, some biochemical studies suggest that mecamylamine is a channel blocker that inhibits most neuronal nAChRs (e.g., [131–133]).
The release of epinephrine stimulates the body and causes a sudden release of glucose as well as an increase in blood pressure, respiration, and heart rate
Bupropion [a.k.a. amfebutamone, (RS)-2-(tert-Butylamino)-1-(3-chlorophenyl)propan1-one, 3-Chloro tert-butylcathinone, 3-Chloro-N-tert-butyl-β-ketoamphetamine; Fig. 4] is a phenylaminoketone or cathinone derivative that is a weak central nervous system (CNS) stimulant
It is prescribed as medication for the treatment of depression (Wellbutrin®) and/or as an adjunct in smoking cessation therapy (Zyban®).
Other studies have reported that bupropion blocked the acute effects of (-)-nicotine in a number of behavioral assays in mice (e.g., [171, 172])
Moreover, (-)-nicotine (indirectly) can produce a release of dopamine in brain regions that are thought to control pleasure and motivation; dopamine is thought to underlie the pleasurable sensations experienced by smokers (e.g., [14, 15] but see [16]).
For example, immediately after exposure to nicotine, there is a “stimulant-kick” caused, in part, by its stimulation of the adrenal glands and resultant discharge of epinephrine (adrenaline)
Nicotine also suppresses insulin output from the pancreas, which indicates that smokers are usually hyperglycemic (higher blood sugar level)
Centrally, (-)-nicotine has affinity for all brain nAChR subtypes, but binds preferentially and with high affinity to α4β2 nAChRs (e.g., [12, 13])
(-)-Nicotine activates all brain nAChR subtypes, but binds preferentially and with high affinity to α4β2 nAChRs (e.g., [12])
For example, (-)-nicotine may increase dopamine activity at some brain sites such as the nucleus accumbens, an area thought to be important to drugs of abuse (e.g., [14, 101, 102]; but see [16, 103])
For example, in rodents, administration of low doses of nicotine produced increased motor activity whereas high doses produced decreased motor activity (e.g.,[17, 18])
. It is now well established that nicotine binds to nicotinic acetylcholine receptors (nAChRs) at the cellular level and is the prototype drug used to classify nAChRs
In antagonism tests, (-)-nicotine failed to block the stimulus effects of mecamylamine
Varenicline (Chantix®; Fig. 4) is prescribed as an adjunct medication in smoking cessation therapy and is thought to exert its effects as a partial agonist at α4β2 nAChRs and as a full agonist at α7 nAChRs [211, 212].
Research results summarized in Table 5 indicate that DHβE effectively blocked the stimulus effects of (-)-nicotine in rats or mice (but see exceptions reported by [120, 121]).
DHβE (Fig. 3) is an alkaloid found in plant seeds of Erythrina and is a competitive nAChR receptor antagonist with a preference for neuronal β2 subtypes
For example, DHβE (at nM concentrations) blocks α4β2 and α3β2 nAChRs but is much less potent at α3β4 and α7 nAChRs expressed in Xenopus oocytes (e.g., [134–137]).
In the body, nicotine is extensively metabolized and is susceptible to a significant first-pass effect during which 80–90% of it is metabolized by the liver. Also, the lung is able to metabolize nicotine, but to a much lesser degree [78, 79].
Table 5 presents results of MLA/(-)-nicotine combination studies and shows that MLA failed to alter the stimulus effects of (-)-nicotine in rats or mice (but see partial antagonism reported by Quarta et al. [126])
Its biochemical pharmacology indicates that it is a relatively potent competitive receptor antagonist that is selective for α7 nAChRs (e.g., [139–141]).
In humans, about 70–80% of nicotine is converted to the primary metabolite (-)-cotinine, a lactam derivative (Fig. 2).
Lastly, S(-)-nornicotine is a minor metabolite of nicotine and, as mentioned previously, is considered a minor alkaloid of tobacco (Fig. 2)
(-)-Nicotine withdrawal symptoms might begin within a few hours after the last nicotine product, and include irritability/anger/stress/anxiety, sleep disturbances, depressed mood, craving, cognitive and attention deficits, and increased appetite.
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If you find BEL Commons useful in your work, please consider citing: Hoyt, C. T., Domingo-Fernández, D., & Hofmann-Apitius, M. (2018). BEL Commons: an environment for exploration and analysis of networks encoded in Biological Expression Language. Database, 2018(3), 1–11.