Modeling human heterogeneity of obesity with diversity outbred mice reveals a fat mass-dependent therapeutic window for resolvin E1

Inflammation and resolution in obesity

Inflammation is an essential physiological defence mechanism, but prolonged or excessive inflammation can cause disease. Indeed, unresolved systemic and adipose tissue inflammation drives obesity-related cardiovascular disease and type 2 diabetes mellitus. Drugs targeting pro-inflammatory cytokine pathways or inflammasome activation have been approved for clinical use for the past two decades. However, potentially serious adverse effects, such as drug-induced weight gain and increased susceptibility to infections, prevented their wider clinical implementation. Furthermore, these drugs do not modulate the resolution phase of inflammation. This phase is an active process orchestrated by specialized pro-resolving mediators, such as lipoxins, and other endogenous resolution mechanisms. Pro-resolving mediators mitigate inflammation and development of obesity-related disease, for instance, alleviating insulin resistance and atherosclerosis in experimental disease models, so mechanisms to modulate their activity are, therefore, of great therapeutic interest. Here, we review current clinical attempts to either target pro-inflammatory mediators (IL-1β, NOD-, LRR- and pyrin domain-containing protein 3 (NLRP3) inflammasome, tumour necrosis factor (TNF) and IL-6) or utilize endogenous resolution pathways to reduce obesity-related inflammation and improve cardiometabolic outcomes. A remaining challenge in the field is to establish more precise biomarkers that can differentiate between acute and chronic inflammation and to assess the functionality of individual leukocyte populations. Such advancements would improve the monitoring of drug effects and support personalized treatment strategies that battle obesity-related inflammation and cardiometabolic disease.

Phenotype variability in diet-induced obesity and response to (-)-epigallocatechin gallate supplementation in a Diversity Outbred mouse cohort: A model for exploring gene x diet interactions for dietary bioactives

The flavan-3-ol (-)-epigallocatechin gallate (EGCG) blunts obesity in inbred mice, but human clinical trials have yielded mixed results. Genetic homogeneity in preclinical models may explain translational disconnect between rodents and humans. The Diversity Outbred (DO) mouse model provides genotype and phenotype variability for characterization of gene x environment (i.e., diet) interactions. We conducted a longitudinal phenotyping study in DO mice. Mice (n = 50) were fed a high-fat diet for 8 weeks and then a high-fat diet + 0.3% EGCG for 8 weeks. We hypothesized that obesity and any protective effects of EGCG would exhibit extreme variability in these genetically heterogeneous mice. As anticipated, DO mice exhibited extreme variation in body composition at baseline (4%-13.9% fat), after 8 weeks of high-fat diet (6.5%-38.1% fat), and after 8 weeks of high-fat diet + EGCG (7.6%-42.6% fat), greater than what is observed in inbred mice. All 50 mice gained body fat on the high-fat diet (changes from baseline of +5% ± 640%). Intriguingly, adiposity variability increased when EGCG was added to the diet (changes from the high-fat diet alone of -52% ± 390%), with 11/50 mice losing body fat. We postulate that the explanation for this variability is genetic heterogeneity. Our data confirm the promise for EGCG to manage obesity but suggest that genetic factors may exert significant control over the efficacy of EGCG. Larger studies in DO mice are needed for quantitative trait loci mapping to identify genetic loci governing EGCG x obesity interactions and translate these findings to precision nutrition in humans.

Attenuation of adipose tissue inflammation by pro-resolving lipid mediators

Adipose tissue inflammation drives systemic pathophysiology, for instance, obesity-related cardiometabolic disease. Specialized pro-resolving lipid mediators are a superfamily of endogenously produced lipids that promote the resolution of inflammation, an actively regulated process. New evidence suggests that such lipids (e.g. lipoxins) could resolve adipose tissue inflammation and, thus, subvert obesity-related diseases. A key feature of pro-resolving lipids is their ability to promote an M2-like macrophage phenotype and enhance efferocytosis while avoiding adverse side-effects typically associated with anti-inflammatory drugs, such as increased sensitivity to infections. This brief review discusses the therapeutic potential of pro-resolving lipid mediators in mitigating systemic disease fueled by adipose tissue inflammation in both experimental and human disease models.

Synergism Between Hypothalamic Astrocytes and Neurons in Metabolic Control

Astrocytes are no longer considered as passive support cells. In the hypothalamus, these glial cells actively participate in the control of appetite, energy expenditure, and the processes leading to obesity and its secondary complications. Here we briefly review studies supporting this conclusion and the advances made in understanding the underlying mechanisms.

Docosahexaenoic Acid Controls Pulmonary Macrophage Lipid Raft Size and Inflammation

BACKGROUND

Docosahexaenoic acid (DHA) controls the biophysical organization of plasma membrane sphingolipid/cholesterol-enriched lipid rafts to exert anti-inflammatory effects, particularly in lymphocytes. However, the impact of DHA on the spatial arrangement of alveolar macrophage lipid rafts and inflammation is unknown.

OBJECTIVES

The primary objective was to determine how DHA controls lipid raft organization and function of alveolar macrophages. As proof-of-concept, we also investigated DHA's anti-inflammatory effects on select pulmonary inflammatory markers with a murine influenza model.

METHODS

MH-S cells, an alveolar macrophage line, were treated with 50 μM DHA or vehicle control and were used to study plasma membrane molecular organization with fluorescence-based methods. Biomimetic membranes and coarse grain molecular dynamic (MD) simulations were employed to investigate how DHA mechanistically controls lipid raft size. qRT-PCR, mass spectrometry, and ELISAs were used to quantify downstream inflammatory signaling transcripts, oxylipins, and cytokines, respectively. Lungs from DHA-fed influenza-infected mice were analyzed for specific inflammatory markers.

RESULTS

DHA increased the size of lipid rafts while decreasing the molecular packing of the MH-S plasma membrane. Adding a DHA-containing phospholipid to a biomimetic lipid raft-containing membrane led to condensing, which was reversed with the removal of cholesterol. MD simulations revealed DHA nucleated lipid rafts by driving cholesterol and sphingomyelin into rafts. Downstream of the plasma membrane, DHA lowered the concentration of select inflammatory transcripts, oxylipins, and IL-6 secretion. DHA lowered pulmonary Il6 and Tnf-α mRNA expression and increased anti-inflammatory oxylipins of influenza-infected mice.

CONCLUSIONS

The data suggest a model in which the localization of DHA acyl chains to nonrafts is driving sphingomyelin and cholesterol molecules into larger lipid rafts, which may serve as a trigger to impede signaling and lower inflammation. These findings also identify alveolar macrophages as a target of DHA and underscore the anti-inflammatory properties of DHA for lung inflammation.

The Impact of Obesity on Diabetes Onset and Neovascularization in Mouse Models of Metabolic Stress

Animal models of metabolic disorders are essential to studying pathogenic mechanisms and developing therapies for diabetes, but the induction protocols vary, and sexual dimorphism often exists. In a chronic diabetic model of diet-induced obesity (DIO) and low-dose streptozotocin (STZ)-induced hyperglycemia, blood glucose and lipid profiles were measured. The high-fat (HF) diet damaged insulin sensitivity and increased triglycerides, total cholesterol, LDL-cholesterol, HDL-cholesterol, and liver lipid deposition. STZ increased blood glucose and liver fibrosis with less effects on blood lipids or liver lipid deposition. The combination of DIO and STZ treatments led to significant liver lipid deposition and fibrosis. Female mice showed delayed body weight gain on HF diet and resisted STZ-induced hyperglycemia. However, once they developed DIO, which occurs around 26 weeks of HF diet, the female mice were prone to STZ-induced hyperglycemia. In hindlimb ischemia, male mice in the DIO-STZ group showed significantly worse neovascularization compared with DIO or STZ groups. The DIO-STZ females showed significantly worse recovery than the DIO-STZ males. Our observations suggest that DIO-STZ is a plausible model for studying metabolic and cardiovascular disorders in obesity and diabetes. Moreover, the findings in female animals stress the need to assess sexual dimorphism and investigate the underlying mechanisms that contribute to the worse vasculopathy manifestations in females in metabolic models.

Heterogeneity in the response to n-3 polyunsaturated fatty acids

PURPOSE OF REVIEW

A central goal in the study of long chain n-3 polyunsaturated fatty acids (PUFA) is to translate findings from the basic sciences to the population level to improve human health and prevent chronic diseases. A tenet of this vision is to think in terms of precision medicine and nutrition, that is, stratification of individuals into differing groups that will have different needs across the lifespan for n-3 PUFAs. Therefore, there is a critical need to identify the sources of heterogeneity in the human population in the dietary response to n-3 PUFA intervention.

RECENT FINDINGS

We briefly review key sources of heterogeneity in the response to intake of long chain n-3 PUFAs. These include background diet, host genome, composition of the gut microbiome, and sex. We also discuss the need to integrate data from newer rodent models (e.g. population-based approaches), multi -omics, and analyses of big data using machine learning and data-driven cluster analyses.

SUMMARY

Accounting for vast heterogeneity in the human population, particularly with the use of big data integrated with preclinical evidence, will drive the next generation of precision nutrition studies and randomized clinical trials with long-chain n-3 PUFAs.