2022
DOI: 10.3389/fcell.2022.886604
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Infrapatellar Fat Pad-Synovial Membrane Anatomo-Fuctional Unit: Microscopic Basis for Piezo1/2 Mechanosensors Involvement in Osteoarthritis Pain

Abstract: The Infrapatellar Fat Pad (IFP) is a fibro-adipose tissue of the knee recently reconsidered as part of a single anatomo-functional unit (AFU) together with the synovial membrane (SM). Several evidence support the role of this unit in the mechanisms that trigger and perpetuate the onset and progression of osteoarthritis (OA) disease. Additionally, the contribution of IFP-SM AFU in OA-associated pain has also been supposed, but this assumption still needs to be fully elucidated. Within this context, the recent d… Show more

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Cited by 19 publications
(14 citation statements)
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References 79 publications
(118 reference statements)
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“…Images were acquired at a 16-bit intensity resolution over 2048 × 2048 pixels. Z-stacks images were converted into digital maximum intensity z-projections, processed, and analyzed using ImageJ software, as previously reported [46][47][48] .…”
Section: Immunofluorescent Staining and Confocal Microscopymentioning
confidence: 99%
“…Images were acquired at a 16-bit intensity resolution over 2048 × 2048 pixels. Z-stacks images were converted into digital maximum intensity z-projections, processed, and analyzed using ImageJ software, as previously reported [46][47][48] .…”
Section: Immunofluorescent Staining and Confocal Microscopymentioning
confidence: 99%
“…Semi-automatic immunoreactivity quantification (Alpha-Gal Epitopes) was calculated on an average of three ×20 magnification photomicrographs/section as previously established [ 48 , 49 ].…”
Section: Methodsmentioning
confidence: 99%
“…Photomicrographs were acquired with a Leica LMD6 (Leica Microsystems) connected to a Leica DFC320 high-resolution digital camera (Leica Microsystems) and a computer equipped with software for image acquisition (LasX, Leica Microsystems) and analysis (ImageJ). Images of the whole sections were acquired at 20x and 40x magnification and corrected for shading before being loaded into ImageJ software for semi-automatic immunoreactivity quantification, according to previosuly established methodology ( Porzionato et al, 2021a , b ; Emmi et al, 2022a , b ).…”
Section: Methodsmentioning
confidence: 99%