J. D. Leander

Bio: J. D. Leander is an academic researcher from Eli Lilly and Company. The author has contributed to research in topics: AMPA receptor & NMDA receptor. The author has an hindex of 13, co-authored 24 publications receiving 749 citations.

Discovery of a potent, peripherally selective trans-3,4-dimethyl-4-(3-hydroxyphenyl)piperidine opioid antagonist for the treatment of gastrointestinal motility disorders.

Abstract: Structure-activity relationship studies were pursued within N-substituted-trans-3,4-dimethyl-4-(3-hydroxyphenyl)piperidines in an effort to discover a peripherally selective opioid antagonist with high activity following systemic administration. Altering the size and the polarity of the N-substituent led to the discovery of 3 (LY246736). Compound 3 has high affinity for opioid receptors (Ki = 0.77, 40, and 4.4 nM for mu, kappa, and delta receptors, respectively). It is a potent mu receptor antagonist following parenteral and oral administration and distributes selectively (> 200-fold selectivity) to peripheral receptors. Thus, 3 has properties suitable for the clinical investigation of mu opioid receptor involvement in GI motility disorders.

4-(Tetrazolylalkyl)piperidine-2-carboxylic acids. Potent and selective N-methyl-D-aspartic acid receptor antagonists with a short duration of action.

Abstract: We have prepared a series of cis-4-(tetrazolylakyl)piperidine-2-carboxylic acids as potent and selective N-methyl-D-aspartic acid (NMDA) receptor antagonists. NMDA antagonists may prove to be useful therapeutic agents, for instance, as anticonvulsants, in the treatment of neurodegenerative disorders such as Alzheimer's disease and in the prevention of neuronal damage that occurs during cerebral ischemia. The compounds prepared were evaluated in vitro in both receptor binding assays [( 3H]CGS-19755, [3H]AMPA, and [3H]kainic acid) and in a cortical-wedge preparation (versus NMDA, quisqualic acid, and kainic acid) to determine affinity, potency, and selectivity. The new amino acids were also evaluated in vivo for their ability to block NMDA-induced convulsions in neonatal rats and NMDA-induced lethality in mice. The most potent compound of this series, 15 (LY233053), selectively displaced [3H]CGS-19755 binding with an IC50 of 107 +/- 7 nM and selectively antagonized responses due to NMDA in a cortical-wedge preparation with an IC50 of 4.2 +/- 0.4 microM. Compound 15 blocked both NMDA-induced convulsions in neonatal rats (minimum effective dose (MED) = 20 mg/kg ip) and NMDA-induced lethality in mice (MED = 5 mg/kg ip). This is the first example of an NMDA receptor antagonist that incorporates a tetrazole moiety as an omega-acid bioisostere. These amino acid antagonists are also unique from their phosphonic acid counterparts in that they have a shorter duration of action in vivo. For the treatment of acute disorders such as stroke, where an NMDA antagonist would be administered parenterally, the shorter duration of action may be beneficial, e.g., allowing for better dosage control. The combination of potent NMDA receptor antagonism and a short duration of action may make these compounds useful therapeutic agents in the treatment of a variety of neurological disorders.

Synthesis and pharmacology of a series of 3- and 4-(phosphonoalkyl)pyridine- and -piperidine-2-carboxylic acids. Potent N-methyl-D-aspartate receptor antagonists.

Abstract: We recently prepared a series of 3- and 4-(phosphonoalkyl)pyridine- and -piperidine-2-carboxylic acids as antagonists of neurotransmission at N-methyl-D-aspartate (NMDA) preferring receptors. NMDA antagonists may prove to be useful therapeutic agents, for instance, as anticonvulsants, in the treatment of neurodegenerative disorders such as Alzheimer's disease and in the prevention of neuronal damage that occurs during cerebral ischemia. The compounds prepared were evaluated for their ability to displace [3H]CPP binding (an assay shown to be selective for compounds that bind at the NMDA receptor) and for their ability to block NMDA-induced lethality in mice (an assay that is also specific for competitive and noncompetitive NMDA antagonists). Two of the compounds, cis-4-(phosphonomethyl)piperidine-2-carboxylic acid (11a) and cis-4-(3-phosphonoprop-1-yl)piperidine-2-carboxylic acid (11c) proved to be potent NMDA antagonists. 11a and 11c displaced [3H]CPP binding with IC50's of 95 and 120 nM, respectively, and both protected mice from NMDA-induced lethality, with MEDs (minimum effective dose, the dose at which three of the five animals tested survived) of 10 and 40 mg/kg ip, respectively. The rest of the compounds prepared were weakly active or inactive in these assays. The pattern of activity observed for this series parallels that observed for the acyclic series of omega-phosphono-alpha-amino acids, where AP5 and AP7 possessed NMDA antagonist activity while AP6 and AP8 were inactive. Reduction of conformational mobility by incorporation of the piperidine ring led to enhanced potency relative to the acyclic analogues.

Preparation and anticonvulsant activity of a series of functionalized alpha-aromatic and alpha-heteroaromatic amino acids.

Abstract: We recently reported the potent anticonvulsant activity of (R,S)-alpha-acetamido-N-benzyl-alpha-phenylacetamide (2b). Selectively substituted derivatives of this compound have now been prepared (23 examples) and evaluated in the maximal electroshock seizure (MES) and horizontal screen (tox) tests in mice. In several key cases, replacement of the alpha-phenyl substituent in 2b by a relatively small, electron-rich, heteroaromatic moiety led to a substantial improvement in the anticonvulsant potency of the drug candidate. The most active compounds were (R,S)-alpha-acetamido-N-benzyl-2-furanacetamide (2g) and (R,S)-alpha-acetamido-N-benzyl-2-pyrroleacetamide (2i). After ip administration, the MES ED50 values for 2g (10.3 mg/kg) and 2i (16.1 mg/kg) compared well with phenytoin (9.50 mg/kg). Evaluation of the two individual enantiomers of 2g demonstrated that the anticonvulsant activity resided in the R stereoisomer. The low ED50 value (3.3 mg/kg) for (R)-2g contributed to the large protective index (TD50/ED50) observed for this drug candidate, which approached that of phenytoin.

Theoretical Basis, Experimental Design, and Computerized Simulation of Synergism and Antagonism in Drug Combination Studies

Abstract: The median-effect equation derived from the mass-action law principle at equilibrium-steady state via mathematical induction and deduction for different reaction sequences and mechanisms and different types of inhibition has been shown to be the unified theory for the Michaelis-Menten equation, Hill equation, Henderson-Hasselbalch equation, and Scatchard equation. It is shown that dose and effect are interchangeable via defined parameters. This general equation for the single drug effect has been extended to the multiple drug effect equation for n drugs. These equations provide the theoretical basis for the combination index (CI)-isobologram equation that allows quantitative determination of drug interactions, where CI 1 indicate synergism, additive effect, and antagonism, respectively. Based on these algorithms, computer software has been developed to allow automated simulation of synergism and antagonism at all dose or effect levels. It displays the dose-effect curve, median-effect plot, combination index plot, isobologram, dose-reduction index plot, and polygonogram for in vitro or in vivo studies. This theoretical development, experimental design, and computerized data analysis have facilitated dose-effect analysis for single drug evaluation or carcinogen and radiation risk assessment, as well as for drug or other entity combinations in a vast field of disciplines of biomedical sciences. In this review, selected examples of applications are given, and step-by-step examples of experimental designs and real data analysis are also illustrated. The merging of the mass-action law principle with mathematical induction-deduction has been proven to be a unique and effective scientific method for general theory development. The median-effect principle and its mass-action law based computer software are gaining increased applications in biomedical sciences, from how to effectively evaluate a single compound or entity to how to beneficially use multiple drugs or modalities in combination therapies.