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Although alginate-poly-L-lysine (AP(L)) encapsulation of cells producing bioactive peptides has been widely tested, it is unknown whether AP(L) supports lasting catabolic functions of encapsulated cells in adipose tissue, which are required for obesity reduction. We tested functions of AP(L)-encapsulated fibroblasts isolated from wild-type (WT) and aldehyde dehydrogenase 1a1 knockout mice (KO), which resist obesity on a high-fat (HF) diet, have a higher metabolic rate, and express increased levels of thermogenic uncoupling protein-1 (Ucp1) in their deleterious visceral fat depots compared to WT mice. To enable in vivo detection and quantification, fibroblasts were stably transfected with green-fluorescent protein. WT- or KO-containing microcapsules were injected into two visceral depots of WT mice fed an HF diet. Eighty days after transplantation, microcapsules were located in vivo using magnetic resonance imaging. KO microcapsules prevented weight gain in obese WT mice compared to a mock- and WT capsule-injected groups on an HF diet. The weight loss in KO-treated mice corresponded to lipid reduction and induction of thermogenesis in the injected visceral fat. The non-treated subcutaneous fat was not altered. Our data suggest that the AP(L) polymer supports long-term catabolic functions of genetically-modified fibroblasts, which can be potentially used for depot-specific obesity treatment.
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http://dx.doi.org/10.1016/j.biomaterials.2012.04.035 | DOI Listing |
Nutr Cancer
September 2025
Department of Kinesiology and Nutrition, University of Illinois Chicago, Iowa City, IL, USA.
Increased adiposity and chronic psychosocial stress (CPS) are plausible modifiable contributors of the recent increase in early-onset colorectal cancer (EOCRC). We conducted an 8-week randomized controlled pilot trial evaluating the feasibility and acceptability of time restricted eating (TRE) (daily ad libitum eating between 12-8pm) and Mindfulness ("Mindfulness for Beginners" course from the Calm app) among young adults. Participants were randomized to the following groups: TRE ( = 10); Mindfulness ( = 11); TRE & Mindfulness ( = 11); or Control ( = 11).
View Article and Find Full Text PDFAbdom Radiol (NY)
September 2025
Department of Gastroenterology department, Bishan Hospital of Chongqing Medical University, Chongqing, China.
Objective: This study aimed to create and validate a nomogram to predict early recurrence (ER) in Colorectal cancer (CRC) patients by combining CT-derived abdominal fat parameters with clinical and pathological characteristics.
Methods: We conducted a retrospective analysis of 206 CRC patients, dividing them into training (n = 146) and validation (n = 60) cohorts. We quantified abdominal fat parameters, including subcutaneous adipose tissue index (SATI) and visceral adipose tissue index (VATI), using semi-automatic software on CT images at the level of the third lumbar vertebra (L3).
Abdom Radiol (NY)
September 2025
Research Centre for Optimal Health, School of Life Sciences, University of Westminster, London, UK.
Objectives: The escalating global incidence of obesity, cardiometabolic disease and sarcopenia necessitates reliable body composition measurement tools. MRI-based assessment is the gold standard, with utility in both clinical and drug trial settings. This study aims to validate a new automated volumetric MRI method by comparing with manual ground truth, prior volumetric measurements, and against a new method for semi-automated single-slice area measurements.
View Article and Find Full Text PDFInt J Urol
September 2025
Department of Urology, Nagasaki University Graduate School of Biomedical Sciences, Nagasaki, Japan.
J Obes
September 2025
School of Natural Sciences, University of Lincoln, Lincoln, UK.
To investigate the genetic determinants of fat distribution across anatomical sites and their implications for health outcomes. We analyzed neck-to-knee MRI data from the UK Biobank ( = 37,589) to measure fat at various locations and used Mendelian randomization to assess effects on 26 obesity-related diseases and 94 biomarkers from FinnGen and other consortia. We identified genetic loci associated with 10 fat depots: abdominal subcutaneous adipose tissue ( = 2 loci), thigh subcutaneous adipose tissue (25), thigh intermuscular adipose tissue (15), visceral adipose tissue (7), liver proton density fat fraction (PDFF) (8), pancreas PDFF (11), paraspinal adipose tissue (9), pelvic bone marrow fat (28), thigh bone marrow fat (27), and vertebrae bone marrow fat (5).
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