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Review
. 2011 Oct 15;82(8):883-90.
doi: 10.1016/j.bcp.2011.06.010. Epub 2011 Jun 12.

Neurobiology of nAChRs and cognition: a mini review of Dr. Jerry J. Buccafusco's contributions over a 25 year career

Affiliations
Review

Neurobiology of nAChRs and cognition: a mini review of Dr. Jerry J. Buccafusco's contributions over a 25 year career

Alvin V Terry Jr et al. Biochem Pharmacol. .

Abstract

This review highlights some of the many contributions of the late Dr. Jerry J. Buccafusco to the neurobiology of nicotinic acetylcholine receptors (nAChRs) and cognition over a 25 year period. The article is written by two of Dr. Buccafusco's professional colleagues, one from academia and one from the pharmaceutical industry. While Dr. Buccafusco's expertise in the cholinergic field was extensive, his insights into the practical relevance of his work (with a long-term goal of formulating new drug development strategies) were unique, and a great asset to both the basic science community and pharmaceutical companies. In 1988, Dr. Buccafusco's laboratory was the first to report the cognitive enhancing action of low doses of nicotine in non-human primates. Since that time he studied a large number of novel pro-cognitive agents from several pharmacological classes in rodents as well as monkeys. Based on years of observing paradoxical effects of nicotinic ligands in vitro and in vivo, Dr. Buccafusco made the provocative argument that it might be possible to develop new chemical entities (with pro-cognitive actions) that have the ability to desensitize nAChRs without producing an antecedent agonist action. Some of his more recent work focused on development of single molecular entities that act on multiple CNS targets (including nAChRs) to enhance cognition, provide neuroprotection, and/or provide additional therapeutic actions (e.g., antipsychotic effects). Dr. Buccafusco's influence will live on in the work of the numerous graduate students, postdoctoral fellows, and junior faculty that he mentored over the years who now serve in prestigious positions throughout the world.

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Figures

Fig 1
Fig 1
Jerry J. Buccafusco, Ph.D. (August 20, 1949 – March 6, 2010), Regents Professor of Pharmacology and Toxicology and Director, Alzheimer's Research Center, Medical College of Georgia. Dr. Buccafusco's contributions to the field of cholinergic neurobiology and novel drug discovery for disorders of cognition spanned more than 25 years.
Fig 2
Fig 2
Effects of Nicotine on Delayed Match to Sample (DMTS) performance in monkeys. Fig 1A illustrates the dose-effect relationship (2-3 replicates per dose) in the DMTS task (averaged across delay) in 5 adult pigtail monkeys, 10 min after the intramuscular administration of nicotine. Each bar represents the mean percentage change from vehicle baseline ± SEM over 96 trials per session. Fig 2B illustrates the effects of the individualized (and replicated) optimum dose of nicotine on each delay in the DMTS. Fig 2C illustrates the effect of the optimum dose of nicotine DMTS accuracy when the test was administered 24 h after dosing. *= significantly different (p<0.05 compared) to vehicle baseline levels of DMTS accuracy.
Fig 3
Fig 3
Effects of nicotinic receptor ligands on performance of the Delayed Match to Sample task with distractors (DMTS-D) in monkeys. Short delay performance during interference sessions is illustrated. Data are represented as mean percentage correct ± S.E.M. BL= saline baseline for standard DMTS performance; SAL = saline baseline performance associated with 3-s distractor trials. *= significantly different (p<0.05) compared to vehicle baseline levels of DMTS accuracy. # = significantly different (p<0.05) compared to the saline distractor trial-related level of accuracy. N= 5-8
Fig 4
Fig 4
Effects of cotinine on Delayed Match to Sample (DMTS) performance in monkeys. Fig 2A illustrates the dose-effect relationship for each delay in the DMTS task in 8 adult rhesus macaques, 15 min after the intramuscular administration of cotinine. Each bar represents the mean (% correct) ± SEM over 96 trials per session. The baseline (Vehicle) was determined from the average of all vehicle sessions run throughout the study. Inset (Fig 2B): the effect of cotinine on standard DMTS accuracy when the test was administered 24 h after dosing. *= significantly different (p<0.05 compared) to vehicle baseline levels of DMTS accuracy. + = p<0.07.

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References

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