Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 216

The DOI matches its Crossref record; 12 of the 12 references it cites were found in a registry or an index.

Carbonic anhydrase inhibitors as emerging drugs for the treatment of obesity

Supuran, Claudiu T, Fiore, Anna Di, Simone, Giuseppina De·2008·Expert Opinion on Emerging Drugs

Abstract

BACKGROUND: Obesity is a widespread disease in both the developed and developing world. Few pharmacological approaches for its treatment exist at this time. OBJECTIVE: This review summarises the currently approved obesity therapies and describes a possible new approach for the treatment and prophylaxis of this disease, based on the inhibition of carbonic anhydrases (CAs, EC 4.2.1.1), enzymes involved in several steps of de novo lipogenesis, both in the mitochondria and the cytosol of cells. METHODS: Topiramate and zonisamide, two antiepileptic drugs showing strong CA inhibitory properties, have been reported as an example of this approach, as clinical data have shown that these compounds induce persistent weight loss in obese patients. CONCLUSIONS: The use of topiramate and zonisamide as lead molecules for the design of CA inhibitors targeting isozymes involved in lipogenesis could represent the beginning of a very promising new approach for the treatment of obesity.

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 · 10.1517/14728214.13.2.383

Cites

12 of 12 references verified0 citation errors · 0 not checkable

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

Cites

Show all 12 references

Cited by

See all 216

Metadata

Authors
Supuran, C. T., Fiore, A. D., & Simone, G. D.
Venue
Expert Opinion on Emerging Drugs
Published
2008-06
Volume
13
Issue
2
Pages
383-392
ISSN
  • 1472-8214 (ISSN-L)
  • 1744-7623
OpenAlex
W2073322616
Cited by
216
References
12
FWCI
5.83
Type
journal article
Language
en
Open access
closed

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: Carbonic anhydrase inhibitors as emerging drugs for the treatment of obesity. https://app.cochat.ai/papers/10.1517/14728214.13.2.383
The paper
Supuran, C. T., Fiore, A. D., & Simone, G. D. (2008). Carbonic anhydrase inhibitors as emerging drugs for the treatment of obesity. Expert Opinion on Emerging Drugs. https://doi.org/10.1517/14728214.13.2.383

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.