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From leptin to lasers: the past and present of mouse models of obesity
- Source :
- Expert Opin Drug Discov
- Publication Year :
- 2021
-
Abstract
- INTRODUCTION. Obesity is a prevalent condition that accounts for significant morbidity and mortality across the globe. Despite substantial effort, most obesity pharmacotherapies have proven unsafe or ineffective. The use of obese mouse models provides unique insight into the hormones and mechanisms that regulate appetite and metabolism. Paramount among these models are the “obese” and “diabetic” mice that revealed the powerful satiety hormone leptin, revolutionizing obesity research. AREAS COVERED. In this article, we discuss work on leptin therapy, and the clinical response to leptin in humans. The authors describe the use of modern mouse genetics to study targetable mechanisms for genetic forms of human obesity. Additionally, they describe mouse models of neuromodulation and their utility in unraveling neural circuits that govern appetite and metabolism. EXPERT OPINION. Combining past and present models of obesity is required for the development of safe, effective, and impactful obesity therapy. Current research in obesity can benefit from repositories of genetically engineered mouse models to discover interactions between appetitive systems and circuits. Combining leptin therapy with other satiety signals comprising the gut-brain axis is a promising approach to induce significant enduring weight loss.
- Subjects :
- Leptin
media_common.quotation_subject
Gut–brain axis
Appetite
Bioinformatics
Article
03 medical and health sciences
Mice
0302 clinical medicine
Drug Discovery
Brain-Gut Axis
medicine
Animals
Leptin resistance
Obesity
030304 developmental biology
media_common
0303 health sciences
business.industry
Lasers
medicine.disease
Syndromic obesity
Neuromodulation (medicine)
030220 oncology & carcinogenesis
business
Subjects
Details
- ISSN :
- 1746045X
- Volume :
- 16
- Issue :
- 7
- Database :
- OpenAIRE
- Journal :
- Expert opinion on drug discovery
- Accession number :
- edsair.doi.dedup.....afb3c6a336541e484ff6b8b8cf57af70