2023
DOI: 10.1590/1678-7757-2023-0050
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Fibroblasts at the curtain call: from ensemble to principal dancers in immunometabolism and inflammaging

Rogelio SERRANO-LOPEZ,
Ana Carolina MORANDINI

Abstract: Fibroblasts at the curtain call: from ensemble to principal dancers in immunometabolism and inflammaging Inflammation is a necessary step in response to injuries, being vital in restoring homeostasis and facilitating tissue healing. Among the cells that play a crucial role in inflammatory responses, stromal cells, including fibroblasts, have an undeniable significance in fine-tuning the magnitude of mediators that directly affect hyper-inflammatory responses and tissue destruction. Fibroblasts, the dominant ce… Show more

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Cited by 3 publications
(2 citation statements)
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“…Within the communities of computational intelligence and machine learning, multiple classifier systems, often known as ensemble systems, have received much press. In a wide range of problem areas and real-world applications, ensemble systems have proven to be incredibly successful and versatile; thus this focus is well-deserved [ 60 – 62 ]. The Ensemble of the Machine Learning Model (EMLM) is a well-known approach for improving performance by grouping a set of classifiers (especially here where the data is imbalanced) [ 63 , 64 ].…”
Section: Machine Learning Modelsmentioning
confidence: 99%
“…Within the communities of computational intelligence and machine learning, multiple classifier systems, often known as ensemble systems, have received much press. In a wide range of problem areas and real-world applications, ensemble systems have proven to be incredibly successful and versatile; thus this focus is well-deserved [ 60 – 62 ]. The Ensemble of the Machine Learning Model (EMLM) is a well-known approach for improving performance by grouping a set of classifiers (especially here where the data is imbalanced) [ 63 , 64 ].…”
Section: Machine Learning Modelsmentioning
confidence: 99%
“…Additionally, fibroblasts share phenotypic and regenerative properties with stem cells, particularly the oral cavity populations. Due to their plasticity, GFs have been used to successfully generate iPSCs and in transdifferentiation processes to obtain osteogenic cells [ 43 , 44 , 45 , 46 ]. Also, these cells present with other advantages: easy harvesting at the dental office with rapid regeneration, no ethical or compatibility problems when used as an autologous cell source, and, if we intend to regenerate oral tissues, the same microenvironment [ 47 , 48 ].…”
Section: Introductionmentioning
confidence: 99%