Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 358

The DOI matches its Crossref record.

Preclinical characterization of the potential of the putative atypical antipsychotic MDL 100,907 as a potent 5-HT2A antagonist with a favorable CNS safety profile.

Open access
Kehne, J H, Baron, B M, Carr, A A, Chaney, S F, Elands, J, Feldman, D J, Frank, R A, van Giersbergen, P L, McCloskey, T C, Johnson, M P, McCarty, D R, Poirot, M, Senyah, Y, Siegel, B W, Widmaier, C·1996·The Journal of Pharmacology and Experimental Therapeutics

Abstract

In preclinical studies, [R-(+)-alpha-(2,3-dimethoxyphenyl)-1-[2-(4-fluorophenyl)ethyl]-4- piperidinemethanol] [formula: see text] (MDL 100,907), a putative atypical antipsychotic, was characterized in vitro as a potent and selective ligand for the serotonin2A (5-HT2A) receptor and was evaluated in vitro and in vivo as a potent 5-HT2A receptor antagonist. Furthermore, MDL 100,907's potential CNS safety profile and selectivity as a potential antipsychotic agent were evaluated and compared with benchmark compounds. MDL 100,907 demonstrated low nanomolar or subnanomolar binding in vitro at the 5-HT2A receptor and showed a > 100-fold separation from all other receptors measured. MDL 100,907 had subnanomolar potency as a 5-HT2A antagonist in vitro in reversing 5-HT-stimulated inositol phosphate accumulation in NIH 3T3 cells transfected with the rat 5-HT2A receptor. In vivo, MDL 100,907 potently inhibited 5-methoxy-N, N-dimethyltryptamine-induced head twitches in mice or 5-hydroxytryptophan-induced head twitches in rats. In vivo functional tests in mice revealed a > 500-fold separation between doses that produced 5-HT2A antagonism and doses that produced alpha 1-adrenergic or striatal D2 antagonism. Using inhibition of D-amphetamine-stimulated locomotion in mice as a measure of potential antipsychotic efficacy, MDL 100,907 showed a superior CNS safety index relative to the reference compounds, haloperidol, clozapine, risperidone, ritanserin, and amperozide, in each of five tests for side effect potential, including measures of ataxia, general depressant effects, alpha 1-adrenergic antagonism, striatal D2 receptor antagonism, and muscle relaxation. MDL 100,907 did not antagonize apomorphine-induced stereotypes in rats, suggesting that it potentially lacks extrapyramidal side effect liability. MDL 100,907 showed selectivity as a potential antipsychotic in that it lacked consistent activity in selected rodent models of anticonvulsant, antidepressant, analgesic, or anxiolytic activity. In summary, these preclinical data indicate that MDL 100,907 is a potent and selective ligand at the 5-HT2A receptor. MDL 100,907's potent 5-HT2A antagonist activity might account for its activity in preclinical models of antipsychotic potential. Ongoing clinical evaluation with MDL 100,907 will test the hypothesis that 5-HT2A receptor antagonism is sufficient for antipsychotic activity in humans.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1016/s0022-3565(25)12956-x

Cites

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cited by

See all 358

Metadata

Authors
Kehne, J. H., Baron, B. M., Carr, A. A., Chaney, S. F., Elands, J., Feldman, D. J., Frank, R. A., van Giersbergen, P. L., McCloskey, T. C., Johnson, M. P., McCarty, D. R., Poirot, M., Senyah, Y., Siegel, B. W., & Widmaier, C.
Venue
The Journal of Pharmacology and Experimental Therapeutics
Publisher
Elsevier BV
Published
1996-05
Volume
277
Issue
2
Pages
968-981
ISSN
0022-3565 (ISSN-L)
OpenAlex
W2121264019
Cited by
358
References
0
FWCI
20.03
Type
journal article
Language
en
Open access
green

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Preclinical characterization of the potential of the putative atypical antipsychotic MDL 100,907 as a potent 5-HT2A antagonist with a favorable CNS safety profile. https://app.cochat.ai/papers/10.1016/s0022-3565(25)12956-x
The paper
Kehne, J. H., Baron, B. M., Carr, A. A., Chaney, S. F., Elands, J., Feldman, D. J., Frank, R. A., van Giersbergen, P. L., McCloskey, T. C., Johnson, M. P., McCarty, D. R., Poirot, M., Senyah, Y., Siegel, B. W., & Widmaier, C. (1996). Preclinical characterization of the potential of the putative atypical antipsychotic MDL 100,907 as a potent 5-HT2A antagonist with a favorable CNS safety profile. The Journal of Pharmacology and Experimental Therapeutics. https://doi.org/10.1016/s0022-3565(25)12956-x

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.