Physiological mechanisms of sustained fumagillin-induced weight loss

Beyond appetite regulation: Targeting energy expenditure, fat oxidation, and lean mass preservation for sustainable weight loss

New appetite-regulating antiobesity treatments such as semaglutide and agents under investigation such as tirzepatide show promise in achieving weight loss of 15% or more. Energy expenditure, fat oxidation, and lean mass preservation are important determinants of weight loss and weight-loss maintenance beyond appetite regulation. This review discusses prior failures in clinical development of weight-loss drugs targeting energy expenditure and explores novel strategies for targeting energy expenditure: mitochondrial proton leak, uncoupling, dynamics, and biogenesis; futile calcium and substrate cycling; leptin for weight maintenance; increased sympathetic nervous system activity; and browning of white fat. Relevant targets for preserving lean mass are also reviewed: growth hormone, activin type II receptor inhibition, and urocortin 2 and 3. We endorse moderate modulation of energy expenditure and preservation of lean mass in combination with efficient appetite reduction as a means of obtaining a significant, safe, and long-lasting weight loss. Furthermore, we suggest that the regulatory guidelines should be revisited to focus more on the quality of weight loss and its maintenance rather than the absolute weight loss. Commitment to this research focus both from a scientific and from a regulatory point of view could signal the beginning of the next era in obesity therapies.

MetAP2 inhibitor treatment of high-fat and -fructose-fed dogs: impact on the response to oral glucose ingestion and a hyperinsulinemic hyperglycemic clamp

We examined the methionine aminopeptidase 2 inhibitor fumagillin in dogs consuming a high-fat and -fructose diet (HFFD). In pilot studies (3 dogs that had consumed HFFD for 3 yr), 8 wk of daily treatment with fumagillin reduced food intake 29%, weight 6%, and the glycemic excursion during an oral glucose tolerance test (OGTT) 44%. A second group of dogs consumed the HFFD for 17 wk: pretreatment (weeks 0-4), treatment with fumagillin (FUM; n = 6), or no drug (Control, n = 8) (weeks 4-12), washout period (weeks 12-16), and fumagillin or no drug for 1 wk (week 17). OGTTs were performed at 0, 4, 11, and 16 wk. A hyperinsulinemic hyperglycemic clamp was performed in week 12; 4 chow-fed dogs underwent identical clamps. Kilocalories per day intake during the treatment period was 2,067 ± 50 (Control) versus 1,824 ± 202 (FUM). Body weights (kg) increased 1.9 ± 0.3 vs. 2.7 ± 0.8 (0-4 wk) and 1.2 ± 0.2 vs. -0.02 ± 0.9 (4-12 wk) in Control versus fumagillin. The OGTT glycemic response was 30% greater in Control versus fumagillin at 11 wk. Net hepatic glucose uptake (NHGU; mg·kg^-1·min^-1) in the Chow, Control, and fumagillin dogs was ~1.5 ± 0.6, -0.1 ± 0.1, and 0.3 ± 0.4 (with no portal glucose infusion) and 3.1 ± 0.6, 0.5 ± 0.3, and 1.5 ± 0.5 (portal glucose infusion at 4 mg·kg^-1·min^-1), respectively. Fumagillin improved glucose tolerance and NHGU in HFFD dogs, suggesting methionine aminopeptidase 2 (MetAP2) inhibitors have the potential for improving glycemic control in prediabetes and diabetes.

Artificial microbiome heterogeneity spurs six practical action themes and examples to increase study power-driven reproducibility

With >70,000 yearly publications using mouse data, mouse models represent the best engrained research system to address numerous biological questions across all fields of science. Concerns of poor study and microbiome reproducibility also abound in the literature. Despite the well-known, negative-effects of data clustering on interpretation and study power, it is unclear why scientists often house >4 mice/cage during experiments, instead of ≤2. We hypothesized that this high animal-cage-density  practice abounds in published literature because more mice/cage could be perceived as a strategy to reduce housing costs. Among other sources of 'artificial' confounding, including cyclical oscillations of the 'dirty-cage/excrement microbiome', we ranked by priority the heterogeneity of modern husbandry practices/perceptions across three professional organizations that we surveyed in the USA. Data integration (scoping-reviews, professional-surveys, expert-opinion, and 'implementability-score-statistics') identified Six-Actionable Recommendation Themes (SART) as a framework to re-launch emerging protocols and intuitive statistical strategies to use/increase study power. 'Cost-vs-science' discordance was a major aspect explaining heterogeneity, and scientists' reluctance to change. With a 'housing-density cost-calculator-simulator' and fully-annotated statistical examples/code, this themed-framework streamlines the rapid analysis of cage-clustered-data and promotes the use of 'study-power-statistics' to self-monitor the success/reproducibility of basic and translational research. Examples are provided to help scientists document analysis for study power-based sample size estimations using preclinical mouse data to support translational clinical trials, as requested in NIH/similar grants or publications.

When Rhythms Meet the Blues: Circadian Interactions with the Microbiota-Gut-Brain Axis

The microbiota-gut-brain axis encompasses a bidirectional mode of communication between the microorganisms residing in our gut, and our brain function and behavior. The composition of the gut microbiota is subject to diurnal variation and is entrained by host circadian rhythms. In turn, a diverse microbiota is essential for optimal regulation of host circadian pathways. Disruption of the cyclical nature of this microbe-host interaction profoundly influences disease pathology and severity. This review aims to summarize current knowledge on this bidirectional relationship. Indeed, the past few years have revealed promising data regarding the relationship between the microbiota-gut-brain axis and circadian rhythms and how they act in concert to influence disease, but further research needs to be done to examine how they coalesce to modulate severity of, and risk for, certain diseases. Moreover, there is a need for a greater understanding of the molecular mechanisms underlying the close relationship between circadian-microbiome-brain interactions.

MetAP2 inhibition reduces food intake and body weight in a ciliopathy mouse model of obesity

The ciliopathies Bardet-Biedl syndrome and Alström syndrome are genetically inherited pleiotropic disorders with hyperphagia and obesity as primary clinical features. Methionine aminopeptidase 2 inhibitors (MetAP2i) have been shown in preclinical and clinical studies to reduce food intake, body weight, and adiposity. Here, we investigated the effects of MetAP2i administration in a mouse model of ciliopathy produced by conditional deletion of the Thm1 gene in adulthood. Thm1 conditional knockout (cko) mice showed decreased hypothalamic proopiomelanocortin expression as well as hyperphagia, obesity, metabolic disease, and hepatic steatosis. In obese Thm1-cko mice, 2-week administration of MetAP2i reduced daily food intake and reduced body weight 17.1% from baseline (vs. 5% reduction for vehicle). This was accompanied by decreased levels of blood glucose, insulin, and leptin. Further, MetAP2i reduced gonadal adipose depots and adipocyte size and improved liver morphology. This is the first report to our knowledge of MetAP2i reducing hyperphagia and body weight and ameliorating metabolic indices in a mouse model of ciliopathy. These results support further investigation of MetAP2 inhibition as a potential therapeutic strategy for ciliary-mediated forms of obesity.