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Cited by 307

The DOI matches its Crossref record; 64 of the 64 references it cites were found in a registry or an index.

Antipsychotic drugs and obesity

Open access
Correll, Christoph U., Lencz, Todd, Malhotra, Anil K.·2011·Trends in Molecular Medicine

Abstract

Mechanisms underlying antipsychotic cardiometabolic adverse effects are incompletely understood. This hampers the identification of high-risk patients, low-risk antipsychotics and preventive/ameliorative treatments. Recent clinical, molecular, and genetic data suggest that i) antipsychotic-naïve samples provide the greatest power for mechanistic studies; ii) weight and metabolic effects can be discordant, pointing to overlapping and distinct mechanisms; iii) antipsychotics affect satiety and energy homeostasis signaling; iv) the specific peptides mediating these effects are unknown but likely overlap with those involved in idiopathic obesity; and v) single nucleotide polymorphisms in genes encoding known neurotransmitter receptors and metabolic proteins are promising pharmacogenomic targets for countering adverse affects. However, sophisticated molecular studies and genome-wide association studies, ideally in antipsychotic-naïve/first episode samples, are needed to further advance the field.

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Metadata

Authors
Correll, C. U., Lencz, T., & Malhotra, A. K.
Venue
Trends in Molecular Medicine
Publisher
Elsevier BV
Published
2011-02
Volume
17
Issue
2
Pages
97-107
ISSN
1471-4914 (ISSN-L)
OpenAlex
W1973933734
Cited by
307
References
64
FWCI
2.58
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Antipsychotic drugs and obesity. https://app.cochat.ai/papers/10.1016/j.molmed.2010.10.010
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Correll, C. U., Lencz, T., & Malhotra, A. K. (2011). Antipsychotic drugs and obesity. Trends in Molecular Medicine. https://doi.org/10.1016/j.molmed.2010.10.010

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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.