Introduction: Fat graft (FG) absorption rate varies from 20 to 80% in two years. Recently, several bioengineering techniques were applied to improve FG retention rate. Numerous studies investigated the use of adipocyte-derived stem cells (ASC) as FG enrichment. However, ASC production is costly, complex, and time-consuming. In contrast, Nanofat, a combination of lipids, stem cells and growth factors, offers a faster, simpler, and more cost-effective alternative for FG enrichment.
Objective: This study aims to compare the effects of ASC with those of Nanofat, as a viable option in FG enrichment.
Material And Methods: Animals were allocated in three groups: Control group (1 mL fat), ASC group (1 mL fat +1x10 ASC), and NnF group (1 mL of fat + 0.3mL NnF). These groups were subdivided in three subgroups (4, 8, and 12 weeks, n = 6/group). We performed ultrasound and macroscopic measurements for FG volume, histology and expression of healing and inflammation genes.
Results: At week 12, ASC and NnF groups showed a higher retention of FG when compared to the Control group (51%, 46%, 12% respectively, p < 0.01). Fibrosis was similar in ASC and Nanofat groups. The Nanofat group showed a higher vascular density then the Control group (p < 0.05). Il-10 gene expression was higher, and Mmp9 was lower in the Nanofat group when compared to the ASC and Control groups.
Conclusion: This study indicates that enriching FG with both ASC and Nanofat led to an increased retention rate of the FG, suggesting that Nanofat might be a promising alternative for FG enrichment.
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Support Care Cancer
November 2024
Research Program On Integrated Dental Sciences, School of Dentistry, University of Cuiabá, Avenida Manoel José de Arruda 3100, Jardim Europa, Cuiabá, MT, 78065-900, Brazil.
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October 2024
Guy's and St Thomas' NHS Foundation Trust, London, SE1 9RT, UK.
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September 2024
Laboratório de Virologia, Universidade Federal do Pará, Belém 66075-110, Brazil.
Human T-limphotropic virus 1 infection has a global distribution, with a high prevalence in some regions of Brazil and the world, while HTLV-2 infection is endemic mainly among indigenous people and drug users. To analyze intrafamilial transmission of HTLV-1/2 in five Kayapó indigenous peoples (Gorotire, Kararaô, Kokraimoro, Kubenkokre, and Xikrin do Bacajá), we investigated 1452 individuals who underwent serological and molecular tests. Among the 276 indigenous people with positive results, we identified intrafamily transmission in 42.
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July 2024
West London Gynaecological Cancer Centre, Du Cane Road, London W12 0NN, UK.
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September 2024
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In the rapidly evolving field of artificial intelligence (AI) for radiology, with a plethora of vendor options and use-cases and evidence claims to sift through, the pressing question is how to effectively implement the right tool for enhanced patient care? This article presents a structured approach to AI deployment, drawing from a comprehensive case study in South West London. We underscore the necessity of forming a dedicated AI team with a clear vision and assertive leadership to navigate such complexities. Central to our discussion is the significance of crafting an AI implementation plan, with an overarching aim to augment patient care, promote operational efficiency, and lay down standardized protocols for seamless AI adoption.
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