Background: Adipose tissue macrophages (ATMs) are a well characterized regulator of adipose tissue inflammatory tone. Previously defined by the M1 vs M2 classification, we now have a better understanding of ATM diversity that departs from the old paradigm and reports a spectrum of ATM function and phenotypes in both brown and white adipose tissue.
Scope Of Review: This review provides an updated overview of ATM activation and function, ATM diversity in humans and rodents, and novel ATM functions that contribute to metabolic homeostasis and disease.
Major Conclusions: While the paradigm that resident ATMs predominate in the lean state and obesity leads to the accumulation of lipid-associated and inflammatory ATMs still broadly remains rigorously supported, the details of this model continue to be refined and single cell data provide new insight into ATM subtypes and states.
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http://dx.doi.org/10.1016/j.molmet.2022.101642 | DOI Listing |
J Hepatobiliary Pancreat Sci
January 2025
Department of Gastroenterology and Hepatology, Hokkaido University Hospital, Sapporo, Japan.
Background: High subcutaneous adipose tissue radiodensity (SATr), an indirect surrogate marker of adipose tissue quality, was associated with poor prognosis in various cancers. The present study aimed to assess the association of SATr with survival outcomes in patients with advanced biliary tract cancer (BTC).
Methods: This retrospective, single-center study included patients with unresectable or recurrent BTC who underwent chemotherapy/chemoradiotherapy.
Int J Biol Macromol
January 2025
Department of Food Science and Biotechnology, National Chung Hsing University, 145 Xingda Road, Taichung 40227, Taiwan. Electronic address:
The rising pandemic of obesity has received significant attention. Yet, more safe and effective targeted strategies must be used to mitigate its impact on individual health and the global disease burden. While the health benefits of resistant starch (RS) are well-documented, the role of RT-90 (a phosphate-modified tapioca RS containing 90.
View Article and Find Full Text PDFWorld J Gastroenterol
January 2025
Department of Internal Medicine, Medical School, São Paulo State University, Botucatu 18618-686, São Paulo, Brazil.
In this article, we explored the role of adipose tissue, especially mesenteric adipose tissue and creeping fat, and its association with the gut microbiota in the pathophysiology and progression of Crohn's disease (CD). CD is a form of inflammatory bowel disease characterized by chronic inflammation of the gastrointestinal tract, influenced by genetic predisposition, gut microbiota dysbiosis, and environmental factors. Gut microbiota plays a crucial role in modulating immune response and intestinal inflammation and is associated with the onset and progression of CD.
View Article and Find Full Text PDFNature
January 2025
Laboratory for Immune Cell Systems, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan.
Our understanding of type 2 immunity has undergone a substantial transformation in recent years, revealing previously unknown functions. Beyond its canonical role in defence against parasitic helminth infections, type 2 immunity safeguards the host through additional mechanisms, including the suppression of excessive type 1 immune responses, regulation of tissue repair and maintenance of adipose tissue homeostasis. However, unlike type 1 immune responses, type 2 immunity is perceived as a potential promoter of tumorigenesis.
View Article and Find Full Text PDFComput Biol Med
January 2025
Department of Simulation and Graphics, Faculty of Computer Science, University of Magdeburg, Universitätsplatz 2 39106, Magdeburg, Germany; Department of Computational Medicine, Ilmenau University of Technology, Germany.
Purpose: This paper presents a deep learning-based multi-label segmentation network that extracts a total of three separate adipose tissues and five different muscle tissues in CT slices of the third lumbar vertebra and additionally improves the segmentation of the intermuscular fat.
Method: Based on a self-created data set of 130 patients, an extended Unet structure was trained and evaluated with the help of Dice score, IoU and Pixel Accuracy. In addition, the interobserver variability for the decision between ground truth and post-processed segmentation was calculated to illustrate the relevance in everyday clinical practice.
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