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Citations to this article

CNS-targeting pharmacological interventions for the metabolic syndrome
Kerstin Stemmer, … , Paul T. Pfluger, Matthias H. Tschöp
Kerstin Stemmer, … , Paul T. Pfluger, Matthias H. Tschöp
Published August 5, 2019
Citation Information: J Clin Invest. 2019;129(10):4058-4071. https://doi.org/10.1172/JCI129195.
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Review Series Article has an altmetric score of 9

CNS-targeting pharmacological interventions for the metabolic syndrome

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Abstract

The metabolic syndrome (MetS) encompasses medical conditions such as obesity, hyperglycemia, high blood pressure, and dyslipidemia that are major drivers for the ever-increasing prevalence of type 2 diabetes, cardiovascular diseases, and certain types of cancer. At the core of clinical strategies against the MetS is weight loss, induced by bariatric surgery, lifestyle changes based on calorie reduction and exercise, or pharmacology. This Review summarizes the past, current, and future efforts of targeting the MetS by pharmacological agents. Major emphasis is given to drugs that target the CNS as a key denominator for obesity and its comorbid sequelae.

Authors

Kerstin Stemmer, Timo D. Müller, Richard D. DiMarchi, Paul T. Pfluger, Matthias H. Tschöp

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Total citations by year

Year: 2024 2023 2022 2021 2020 Total
Citations: 2 2 4 4 2 14
Citation information
This citation data is accumulated from CrossRef, which receives citation information from participating publishers, including this journal. Not all publishers participate in CrossRef, so this information is not comprehensive. Additionally, data may not reflect the most current citations to this article, and the data may differ from citation information available from other sources (for example, Google Scholar, Web of Science, and Scopus).

Citations to this article in year 2023 (2)

Title and authors Publication Year
Brain O-GlcNAcylation: From Molecular Mechanisms to Clinical Phenotype.
Uygar B, Lagerlöf O
Advances in Neurobiology 2023
Benchmarking causal reasoning algorithms for gene expression-based compound mechanism of action analysis
Hosseini-Gerami L, Higgins IA, Collier DA, Laing E, Evans D, Broughton H, Bender A
BMC bioinformatics 2023

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