Adiposoft: automated software for the analysis of white adipose tissue cellularity in histological sections

Galarraga, M.; Campión, Javier; Muñoz-Barrutia, Arrate; Boqué, Noemí; Moreno, Haritz; Martínéz, J. Alfredo; Milagro, Fermı́n I.; Ortiz‐de‐Solórzano, Carlos

doi:10.1194/jlr.d023788

Cited by 338 publications

(266 citation statements)

References 17 publications

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“…Sections, 5 mm thick, were mounted on SuperFrost Plus adhesion slides (VWR International bvba,), then deparaffinized, rehydrated and stained with haematoxylin and eosin or picrosirius red. Adipocyte diameters were measured on haematoxylin and eosin stained slides using Adiposoft software 52 .…”

Section: Insulin Tolerance Test (Itt)mentioning

confidence: 99%

Cidea improves the metabolic profile through expansion of adipose tissue

Abreu-Vieira

Fischer²,

Mattsson

et al. 2015

Nat Commun

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In humans, Cidea (cell death-inducing DNA fragmentation factor alpha-like effector A) is highly but variably expressed in white fat, and expression correlates with metabolic health. Here we generate transgenic mice expressing human Cidea in adipose tissues (aP2-hCidea mice) and show that Cidea is mechanistically associated with a robust increase in adipose tissue expandability. Under humanized conditions (thermoneutrality, mature age and prolonged exposure to high-fat diet), aP2-hCidea mice develop a much more pronounced obesity than their wild-type littermates. Remarkably, the malfunctioning of visceral fat normally caused by massive obesity is fully overcome-perilipin 1 and Akt expression are preserved, tissue degradation is prevented, macrophage accumulation is decreased and adiponectin expression remains high. Importantly, the aP2-hCidea mice display enhanced insulin sensitivity. Our data establish a functional role for Cidea and suggest that, in humans, the association between Cidea levels in white fat and metabolic health is not only correlative but also causative.

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Section: Insulin Tolerance Test (Itt)mentioning

confidence: 99%

Cidea improves the metabolic profile through expansion of adipose tissue

Abreu-Vieira

Fischer²,

Mattsson

et al. 2015

Nat Commun

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“…Images were analyzed, by manual option, using Open Source Adiposof Image Analysis software (Galarraga et al., 2012), developed as a plug‐in for FIJI (advanced distribution of ImageJ). As it has previously been demonstrated that the same accuracy of data is obtained by analyzing 100, 300, 500, and 1,000 adipocytes (Parlee et al., 2014), a minimum of 100 adipocytes per individual were analyzed.…”

Section: Methodsmentioning

confidence: 99%

The blubber adipocyte index: A nondestructive biomarker of adiposity in humpback whales (Megaptera novaeangliae)

Castrillón

Huston

Nash

2017

Ecology and Evolution

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The ability to accurately evaluate the energetic health of wildlife is of critical importance, particularly under conditions of environmental change. Despite the relevance of this issue, currently there are no reliable, standardized, nonlethal measures to assess the energetic reserves of large, free‐roaming marine mammals such as baleen whales. This study investigated the potential of adipocyte area analysis and further, a standardized adipocyte index (AI), to yield reliable information regarding humpback whale (Megaptera novaeangliae) adiposity. Adipocyte area and AI, as ascertained by image analysis, showed a direct correlation with each other but only a weak correlation with the commonly used, but error prone, blubber lipid‐percent measure. The relative power of the three respective measures was further evaluated by comparing humpback whale cohorts at different stages of migration and fasting. Adipocyte area, AI, and blubber lipid‐percent were assessed by binary logistic regression revealing that adipocyte area had the greatest probability to predict the migration cohort with a high level of redundancy attributed to the AI given their strong linear relationship (r = −.784). When only AI and lipid‐percent were assessed, the performance of both predictor variables was significant but the power of AI far exceeded lipid‐percent. The sensitivity of adipocyte metrics and the rapid, nonlethal, and inexpensive nature of the methodology and AI calculation validate the inclusion of the AI in long‐term monitoring of humpback whale population health, and further raises its potential for broader wildlife applications.

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“…The NMR signal attenuation at diffusion time of 2 s was fitted to equation 4 with a nonlinear least-squares fit (MATLAB ® R2010b) to obtain the mean radius, R 0 , and the polydispersity or variance of the BAT droplet, . Automated analysis of H-and-E-stained slides of WAT sections was performed by using Adiposoft, a fully automated open-source plugin of Fiji software (42,43), to quantify the number and size of droplets.…”

Section: Droplet Size Distributionmentioning

confidence: 99%

Differentiating brown and white adipose tissues by high-resolution diffusion NMR spectroscopy

Verma

Nagashima

Yaligar

et al. 2017

Journal of Lipid Research

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majority of body fat, which is utilized for energy storage, whereas BAT is a minor portion that is involved in thermogenesis, due to the presence of uncoupling protein 1 (UCP1) in the mitochondria. In addition to the differences in energy storage and expenditure, BAT is a highly heterogeneous, densely vascularized tissue with abundant oxygen, blood supply, and iron-rich mitochondria (6, 7). WAT is composed of unilocular lipid droplets, whereas BAT is composed of multilocular lipid droplets scattered throughout the cytoplasm and surrounded by mitochondria.Positron emission tomography (PET) has been the gold standard for imaging BAT (8, 9) because of a selective image contrast of activated BAT by the increased uptake of 18 F-deoxyglucose. However, PET is not suitable for longitudinal studies because it requires injection of exogenous radioactive tracers. Magnetic resonance (MR)-based methods are more promising for real-time and long-term observation of fat accumulation and consumption (10). Traditional MR-based approaches exploit the differences in the water content in WAT and BAT using chemical shift imaging or the Dixon technique (11-13). Imaging of water and fat permits quantitative assessment of the fat fraction. Additionally, the differences in iron content, perfusion, and vasculature have been exploited by T 2 and T 2 * relaxation techniques (14, 15). However, although WAT and BAT are manually separable by color and texture, they cannot be easily distinguished by MR because of the similarity in their magnetic and chemical characteristics (14,15).Applications of nontraditional MR methodologies for selectively detecting BAT have been attempted. Branca and Warren (16, 17) have studied focusing on intermolecular multiple-quantum coherences through dipolar Abstract There are two types of fat tissues, white adipose tissue (WAT) and brown adipose tissue (BAT), which essentially perform opposite functions in whole body energy metabolism. There is a large interest in identifying novel biophysical properties of WAT and BAT by a quantitative and easy-to-run technique. In this work, we used high-resolution pulsed field gradient diffusion NMR spectroscopy to study the apparent diffusion coefficient (ADC) of fat molecules in rat BAT and WAT samples. The ADC of fat in BAT and WAT from rats fed with a chow diet was compared with that of rats fed with a high-fat diet to monitor how the diffusion properties change due to obesity-associated parameters such as lipid droplet size, fatty acid chain length, and saturation. Feeding a high-fat diet resulted in increased saturation, increased chain lengths, and reduced ADC of fat in WAT. The ADC of fat was lower in BAT relative to WAT in rats fed both chow and high-fat diets. Diffusion of fat was restricted in BAT due to the presence of small multilocular lipid droplets. Our findings indicate that in vivo diffusion might be a potential way for better delineation of BAT and WAT in both lean and obese states.-Verma, S. K., K. Nagashima, J. Yaligar, N. Michael, S. S. Lee, T. Xianfeng, V...

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Adiposoft: automated software for the analysis of white adipose tissue cellularity in histological sections

Cited by 338 publications

References 17 publications

Cidea improves the metabolic profile through expansion of adipose tissue

Cidea improves the metabolic profile through expansion of adipose tissue

The blubber adipocyte index: A nondestructive biomarker of adiposity in humpback whales (Megaptera novaeangliae)

Differentiating brown and white adipose tissues by high-resolution diffusion NMR spectroscopy

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