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1.
J Nucl Med ; 52(6): 970-7, 2011 Jun.
Article in English | MEDLINE | ID: mdl-21622895

ABSTRACT

UNLABELLED: N,N-dimethyltryptamine (DMT), a strong psychodysleptic drug, has been found in higher plants, shamanic hallucinogenic beverages, and the urine of schizophrenic patients. The aim of this work was to gain better knowledge on the relationship between this drug and hallucinogenic processes by studying DMT behavior in comparison with tryptamine. METHODS: (131)I-labeled DMT and tryptamine were injected into rabbits. γ-Camera and biodistribution studies were performed. Brain uptake, plasma clearance, and renal excretion were assessed for each indolealkylamine. RESULTS: DMT and tryptamine showed different behavior when brain uptake, residence time, and excretion were compared. Labeled DMT entered the brain 10 s after injection, crossed the blood-brain barrier, and bound to receptors; then it was partially renally excreted. It was detected in urine within 24 h after injection and remained in the brain, even after urine excretion ceased; up to 0.1% of the injected dose was detected at 7 d after injection in the olfactory bulb. In contrast, tryptamine was rapidly taken up in the brain and fully excreted 10 min after injection. CONCLUSION: To our knowledge, this is the first demonstration that exogenous DMT remains in the brain for at least 7 d after injection. Although labeled DMT and tryptamine behave as agonists for at least 5-hydroxytryptamine 2A receptor, 5-hydroxytryptamine 2C receptor, trace amine-associated receptor, and σ-1 putative receptor targets, binding to the latter can explain the different behavior of labeled DMT and tryptamine in the brain. The persistence in the brain can be further explained on the basis that DMT and other N,N-dialkyltryptamines are transporter substrates for both the plasma membrane serotonin transporter and the vesicle monoamine transporter 2. Furthermore, storage in vesicles prevents DMT degradation by monoamine oxidase. At high concentrations, DMT is taken up by the serotonin transporter and further stored in vesicles by the vesicle monoamine transporter 2, to be released under appropriate stimuli. Moreover, the (131)I-labeling proved to be a useful tool to perform long-term in vivo studies.


Subject(s)
N,N-Dimethyltryptamine/pharmacokinetics , Radiopharmaceuticals/pharmacokinetics , Tryptamines/pharmacokinetics , Animals , Brain/diagnostic imaging , Brain/metabolism , Isotope Labeling , Kidney/metabolism , Lipids/chemistry , Magnetic Resonance Spectroscopy , N,N-Dimethyltryptamine/chemical synthesis , N,N-Dimethyltryptamine/urine , Olfactory Bulb/diagnostic imaging , Positron-Emission Tomography , Rabbits , Radionuclide Imaging , Radiopharmaceuticals/chemical synthesis , Radiopharmaceuticals/urine , Receptors, Serotonin/drug effects , Solubility , Tissue Distribution , Tryptamines/chemical synthesis , Tryptamines/urine
2.
J Mol Model ; 15(5): 537-50, 2009 May.
Article in English | MEDLINE | ID: mdl-19096885

ABSTRACT

UNLABELLED: The conformational space of the unsubstituted A-type dimeric proanthocyanidin was scanned using molecular dynamics at a semiempirical level, and complemented with functional density calculations. The lowest energy conformers were obtained. Electronic distributions were analysed at a higher calculation level, thus improving the basis set. A topological study based on Bader's theory ( AIM: atoms in molecules) and natural bond orbital (NBO) framework was performed. Furthermore, molecular electrostatic potential maps (MEPs) were obtained and analysed. NMR chemical shifts were calculated at ab initio level and further compared with previous experimental values; coupling constants were also calculated. The stereochemistry of the molecule is thoroughly discussed, revealing the key role that hyperconjugative interactions play in defining experimental trends. These results show the versatility of geminal spin-spin coupling (2)J(C-1',O) as a probe for stereochemical studies of proanthocyanidins.


Subject(s)
Dimerization , Electrons , Models, Chemical , Proanthocyanidins/chemistry , Magnetic Resonance Spectroscopy , Models, Molecular , Molecular Conformation , Static Electricity , Stereoisomerism
3.
Eur J Med Chem ; 43(8): 1593-602, 2008 Aug.
Article in English | MEDLINE | ID: mdl-18158201

ABSTRACT

Experimentally assigned values to binding affinity constants of flavonoid ligands towards the benzodiazepine site of the GABA(A) receptor complex were compiled from several publications, and enabled to perform a predictive analysis based on Quantitative Structure-Activity Relationships (QSAR). The best linear model established on 78 molecular structures incorporated four molecular descriptors, selected from more than a thousand of geometrical, topological, quantum-mechanical and electronic types of descriptors and calculated by Dragon software. An application of this QSAR equation was performed by estimating the binding affinities for some newly synthesized flavonoids displaying 2-,7-substitutions in the benzopyrane backbone which still do not have experimentally measured potencies.


Subject(s)
Flavonoids/chemistry , Flavonoids/metabolism , Quantitative Structure-Activity Relationship , Receptors, GABA-A/metabolism , Binding Sites , Molecular Structure , Protein Binding
4.
Bioorg Med Chem ; 15(7): 2680-9, 2007 Apr 01.
Article in English | MEDLINE | ID: mdl-17296301

ABSTRACT

We perform linear regression analyses on 1202 numerical descriptors that encode the various aspects of the topological, geometrical and electronic molecular structure with the aim of achieving the best QSAR relationship between the antifungal potencies against the Candida albicans strain and the structure of 96 heterocyclic ring derivatives. As a realistic application we employ the model found to predict the biological activity for 60 non-yet measured compounds.


Subject(s)
Antifungal Agents/chemical synthesis , Antifungal Agents/pharmacology , Heterocyclic Compounds/chemical synthesis , Heterocyclic Compounds/pharmacology , Algorithms , Candida albicans/drug effects , Computational Biology , Data Interpretation, Statistical , Microbial Sensitivity Tests , Models, Molecular , Models, Statistical , Quantitative Structure-Activity Relationship , Regression Analysis
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