Exome Sequencing Identifies Genes and Gene Sets Contributing to Severe Childhood Obesity, Linking PHIP Variants to Repressed POMC Transcription.

Obesity is genetically heterogeneous with monogenic and complex polygenic forms. Using exome and targeted sequencing in 2,737 severely obese cases and 6,704 controls, we identified three genes (PHIP, DGKI, and ZMYM4) with an excess burden of very rare predicted deleterious variants in cases. In cells, we found that nuclear PHIP (pleckstrin homology domain interacting protein) directly enhances transcription of pro-opiomelanocortin (POMC), a neuropeptide that suppresses appetite. Obesity-associated PHIP variants repressed POMC transcription. Our demonstration that PHIP is involved in human energy homeostasis through transcriptional regulation of central melanocortin signaling has potential diagnostic and therapeutic implications for patients with obesity and developmental delay. Additionally, we found an excess burden of predicted deleterious variants involving genes nearest to loci from obesity genome-wide association studies. Genes and gene sets influencing obesity with variable penetrance provide compelling evidence for a continuum of causality in the genetic architecture of obesity, and explain some of its missing heritability

BATLAS: Deconvoluting Brown Adipose Tissue

Recruitment and activation of thermogenic adipocytes have received increasing attention as a strategy to improve systemic metabolic control. The analysis of brown and brite adipocytes is complicated by the complexity of adipose tissue biopsies. Here, we provide an in-depth analysis of pure brown, brite, and white adipocyte transcriptomes. By combining mouse and human transcriptome data, we identify a gene signature that can classify brown and white adipocytes in mice and men. Using a machine-learning-based cell deconvolution approach, we develop an algorithm proficient in calculating the brown adipocyte content in complex human and mouse biopsies. Applying this algorithm, we can show in a human weight loss study that brown adipose tissue (BAT) content is associated with energy expenditure and the propensity to lose weight. This online available tool can be used for in-depth characterization of complex adipose tissue samples and may support the development of therapeutic strategies to increase energy expenditure in humans

Regulation of adipogenesis by paracrine factors from adipose stromal-vascular fraction - a link to fat depot-specific differences

Visceral and subcutaneous adipose tissue depots have distinct features and contribute differentially to the development of metabolic dysfunction. We show here that adipocyte differentiation in subcutaneous stromal-vascular fraction (SVF) is increased compared to visceral SVF, however this increased differentiation capacity seems not to be due to changes in the number of adipocyte precursor cells. Rather, we demonstrate that secreted heat-sensitive factors from the SVF can inhibit adipocyte differentiation and that this effect is higher in visceral than in subcutaneous SVF, suggesting that visceral SVF is a source of secreted factors that can inhibit adipocyte formation. In order to explore secreted proteins that potentially inhibit differentiation in visceral preadipocytes we analyzed the secretome of both SVFs which led to the identification of 113 secreted proteins with an overlap of 42%. Further expression analysis in both depots revealed 16 candidates that were subsequently analyzed in a differentiation screen using an adenoviral knockdown system. From this analysis we were able to identify two potential inhibitory candidates, namely decorin (Dcn) and Sparc-like 1 (Sparcl1). We could show that ablation of either candidate enhanced adipogenesis in visceral preadipocytes, while treatment of primary cultures with recombinant Sparcl1 and Dcn blocked adipogenesis in a dose dependent manner. In conclusion, our data suggests that the differences in adipogenesis between depots might be due to paracrine and autocrine feedback mechanisms which could in turn contribute to metabolic homeostasis.ISSN:1388-1981ISSN:1879-261

ESRRG and PERM1 Govern Mitochondrial Conversion in Brite/Beige Adipocyte Formation

When exposed to cold temperatures, mice increase their thermogenic capacity by an expansion of brown adipose tissue mass and the formation of brite/beige adipocytes in white adipose tissue depots. However, the process of the transcriptional changes underlying the conversion of a phenotypic white to brite/beige adipocytes is only poorly understood. By analyzing transcriptome profiles of inguinal adipocytes during cold exposure and in mouse models with a different propensity to form brite/beige adipocytes, we identified ESRRG and PERM1 as modulators of this process. The production of heat by mitochondrial uncoupled respiration is a key feature of brite/beige compared to white adipocytes and we show here that both candidates are involved in PGC1α transcriptional network to positively regulate mitochondrial capacity. Moreover, we show that an increased expression of ESRRG or PERM1 supports the formation of brown or brite/beige adipocytes in vitro and in vivo. These results reveal that ESRRG and PERM1 are early induced in and important regulators of brite/beige adipocyte formation.ISSN:1664-239

Visualization of sympathetic neural innervation in human white adipose tissue

Peer reviewed: TrueFunder: Bernard Wolfe Health Neuroscience EndowmentFunder: Botnar FondationFunder: NIHR Cambridge Biomedical Research CenterFunder: NIHR Senior Investigator AwardObesity, defined as an excess of adipose tissue that adversely affects health, is a major cause of morbidity and mortality. However, to date, understanding the structure and function of human adipose tissue has been limited by the inability to visualize cellular components due to the innate structure of adipocytes, which are characterized by large lipid droplets. Combining the iDISCO and the CUBIC protocols for whole tissue staining and optical clearing, we developed a protocol to enable immunostaining and clearing of human subcutaneous white adipose tissue (WAT) obtained from individuals with severe obesity. We were able to perform immunolabelling of sympathetic nerve terminals in whole WAT and subsequent optical clearing by eliminating lipids to render the opaque tissue completely transparent. We then used light sheet confocal microscopy to visualize sympathetic innervation of human WAT from obese individuals in a three-dimensional manner. We demonstrate the visualization of sympathetic nerve terminals in human WAT. This protocol can be modified to visualize other structures such as blood vessels involved in the development, maintenance and function of human adipose tissue in health and disease

BATLAS: Deconvoluting Brown Adipose Tissue

Recruitment and activation of thermogenic adipocytes have received increasing attention as a strategy to improve systemic metabolic control. The analysis of brown and brite adipocytes is complicated by the complexity of adipose tissue biopsies. Here, we provide an in-depth analysis of pure brown, brite, and white adipocyte transcriptomes. By combining mouse and human transcriptome data, we identify a gene signature that can classify brown and white adipocytes in mice and men. Using a machine-learning-based cell deconvolution approach, we develop an algorithm proficient in calculating the brown adipocyte content in complex human and mouse biopsies. Applying this algorithm, we can show in a human weight loss study that brown adipose tissue (BAT) content is associated with energy expenditure and the propensity to lose weight. This online available tool can be used for in-depth characterization of complex adipose tissue samples and may support the development of therapeutic strategies to increase energy expenditure in humans

Inhibition of AXL receptor tyrosine kinase enhances brown adipose tissue functionality in mice

The current obesity epidemic and high prevalence of metabolic diseases necessitate efficacious and safe treatments. Brown adipose tissue in this context is a promising target with the potential to increase energy expenditure, however no pharmacological treatments activating brown adipose tissue are currently available. Here, we identify AXL receptor tyrosine kinase as a regulator of adipose function. Pharmacological and genetic inhibition of AXL enhance thermogenic capacity of brown and white adipocytes, in vitro and in vivo. Mechanistically, these effects are mediated through inhibition of PI3K/AKT/PDE signaling pathway, resulting in induction of nuclear FOXO1 localization and increased intracellular cAMP levels via PDE3/4 inhibition and subsequent stimulation of the PKA-ATF2 pathway. In line with this, both constitutive Axl deletion as well as inducible adipocyte-specific Axl deletion protect animals from diet-induced obesity concomitant with increases in energy expenditure. Based on these data, we propose AXL receptor as a target for the treatment of obesity.ISSN:2041-172

Obesity due to Steroid Receptor Coactivator-1 deficiency is associated with endocrine and metabolic abnormalities

International audienceContext Genetic variants affecting the nuclear hormone receptor coactivator Steroid Receptor Coactivator, SRC-1, have been identified in people with severe obesity and impair melanocortin signaling in cells and mice. As a result, obese patients with SRC-1 deficiency are being treated with a Melanocortin 4 receptor agonist in clinical trials. Objective Here, our aim was to comprehensively describe and characterise the clinical phenotype of SRC-1 variant carriers to facilitate diagnosis and clinical management. Design In genetic studies of 2,462 people with severe obesity, we identified 23 rare heterozygous variants in SRC-1. We studied 29 adults and 18 children who were SRC-1 variant carriers and performed measurements of metabolic and endocrine function, liver imaging and adipose tissue biopsies. Findings in adult SRC-1 variant carriers were compared to 30 age and BMI-matched controls. Results The clinical spectrum of SRC-1 variant carriers included increased food intake in children, normal basal metabolic rate, multiple fractures with minimal trauma (40%), persistent diarrhea, partial thyroid hormone resistance and menorrhagia. Compared to age, sex and BMI matched controls, adult SRC-1 variant carriers had more severe adipose tissue fibrosis (46.2% v 7.1% respectively, P=0.03) and a suggestion of increased liver fibrosis (5/13 cases versus 2/13 in controls, odds ratio 3.4), although this was not statistically significant. Conclusions SRC-1 variant carriers exhibit hyperphagia in childhood, severe obesity and clinical features of partial hormone resistance. The presence of adipose tissue fibrosis and hepatic fibrosis in young patients suggests that close monitoring for the early development of obesity-associated metabolic complications is warranted

BATLAS: Deconvoluting Brown Adipose Tissue

Summary: Recruitment and activation of thermogenic adipocytes have received increasing attention as a strategy to improve systemic metabolic control. The analysis of brown and brite adipocytes is complicated by the complexity of adipose tissue biopsies. Here, we provide an in-depth analysis of pure brown, brite, and white adipocyte transcriptomes. By combining mouse and human transcriptome data, we identify a gene signature that can classify brown and white adipocytes in mice and men. Using a machine-learning-based cell deconvolution approach, we develop an algorithm proficient in calculating the brown adipocyte content in complex human and mouse biopsies. Applying this algorithm, we can show in a human weight loss study that brown adipose tissue (BAT) content is associated with energy expenditure and the propensity to lose weight. This online available tool can be used for in-depth characterization of complex adipose tissue samples and may support the development of therapeutic strategies to increase energy expenditure in humans. : By combining mouse and human transcriptome data, Perdikari et al. identify a gene signature that can classify brown and white adipocytes. Using a machine-learning-based cell deconvolution approach, they develop an algorithm proficient in calculating the brown adipocyte content in complex biopsies. This web tool allows in-depth characterization of adipose tissue samples. Keywords: pure adipocyte populations, gene signature, deconvolution, BAT conten