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Cited by 586

The DOI matches its Crossref record; 166 of the 166 references it cites were found in a registry or an index.

Aquaporins: important but elusive drug targets

Open access
Verkman, Alan S., Anderson, Marc O., Papadopoulos, Marios C.·2014·Nature Reviews Drug Discovery

Abstract

The aquaporins (AQPs) are a family of small, integral membrane proteins that facilitate water transport across the plasma membranes of cells in response to osmotic gradients. Data from knockout mice support the involvement of AQPs in epithelial fluid secretion, cell migration, brain oedema and adipocyte metabolism, which suggests that modulation of AQP function or expression could have therapeutic potential in oedema, cancer, obesity, brain injury, glaucoma and several other conditions. Moreover, loss-of-function mutations in human AQPs cause congenital cataracts (AQP0) and nephrogenic diabetes insipidus (AQP2), and autoantibodies against AQP4 cause the autoimmune demyelinating disease neuromyelitis optica. Although some potential AQP modulators have been identified, challenges associated with the development of better modulators include the druggability of the target and the suitability of the assay methods used to identify modulators.

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Crossref · 10.1038/nrd4226

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Metadata

Authors
Verkman, A. S., Anderson, M. O., & Papadopoulos, M. C.
Venue
Nature Reviews Drug Discovery
Published
2014-03-14
Volume
13
Issue
4
Pages
259-277
ISSN
  • 1474-1776 (ISSN-L)
  • 1474-1784
OpenAlex
W2091722185
Cited by
586
References
166
FWCI
3.59
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Aquaporins: important but elusive drug targets. https://app.cochat.ai/papers/10.1038/nrd4226
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Verkman, A. S., Anderson, M. O., & Papadopoulos, M. C. (2014). Aquaporins: important but elusive drug targets. Nature Reviews Drug Discovery. https://doi.org/10.1038/nrd4226

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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.