ArticleObesity (Silver Spring, Md.)2014
Effects of a novel MC4R agonist on maintenance of reduced body weight in diet-induced obese mice.
Article in Obesity (Silver Spring, Md.), 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
12 citing papers in PubMed, 16 citations in OpenAlex.
- Rationale of renewed efforts in developing MC4R modulators to treat metabolic disorders.Acta pharmaceutica Sinica. B · 2026Review
- The melanocortin receptors as targets for general obesity: contextualizing clinical failures and analyzing future perspectives.Frontiers in endocrinology · 2026Review
- Genetics and epigenetics in the obesity phenotyping scenario.Reviews in endocrine & metabolic disorders · 2023Review
- Ligands for Melanocortin Receptors: Beyond Melanocyte-Stimulating Hormones and Adrenocorticotropin.Biomolecules · 2022Review
- Physiological consequences of transient hyperleptinemia during discrete developmental periods on body weight in mice.Science translational medicine · 2020Article
- GENETIC AND EPIGENETIC CAUSES OF OBESITY.Adolescent medicine: state of the art reviews · 2017Review
- Weight Perturbation Alters Leptin Signal Transduction in a Region-Specific Manner throughout the Brain.PloS one · 2017Article
- Brain signaling systems in the Type 2 diabetes and metabolic syndrome: promising target to treat and prevent these diseases.Future science OA · 2015Review
- Article
- NIH working group report: Innovative research to improve maintenance of weight loss.Obesity (Silver Spring, Md.) · 2015Review
- 20 years of leptin: role of leptin in energy homeostasis in humans.The Journal of endocrinology · 2014Review
- Gut-Brain Endocrine Axes in Weight Regulation and Obesity Pharmacotherapy.Journal of clinical medicine · 2014Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors at 2 institutions in 2 countries.
Funding
Abstract
objectiveThe physiology of the weight-reduced (WR) state suggests that pharmacologic agents affecting energy homeostasis may have greater efficacy in WR individuals. Our aim was to establish a protocol that allows for evaluation of efficacy of weight maintenance agents and to assess the effectiveness of AZD2820, a novel melanocortin 4 receptor (MC4R) agonist in such a paradigm.
methodsMC4R agonist was administered in stratified doses to mice who were either fed high-fat diet ad libitum (AL) throughout the study; or stabilized at a 20% reduced body weight (BW), administered the drug for 4 weeks, and thereafter released from caloric restriction while continuing to receive the drug (WR).
resultsAfter release of WR mice to AL feeding, the high-dose group (53.4 nmol/day) regained 12.4% less BW than their vehicle-treated controls since the beginning of drug treatment. In WR mice, 10.8 nmol/day of the agonist was sufficient to maintain these animals at 95.1% of initial BW versus 53.4 nmol/day required to maintain the BW of AL animals (94.5%).
conclusionsIn the WR state, the MC4R agonist was comparably efficacious to a five-fold higher dose in the AL state. This protocol provides a model for evaluating the mechanisms and quantitative efficacy of weight-maintenance strategies and agents.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.