[Medical language: too many neologisms].
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Biomedical subjects
Publications and source records attributed to Fernando A Navarro.
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Two-photon confocal microscopy is a new technology useful in nondestructive analysis of tissue. The pattern generated from laser-excited autofluorescence and second harmonic signals can be analyzed to construct a three-dimensional, microanatomical, structural image. The healing of full-thickness guinea pig skin wounds was studied over a period of 28 days using two-photon confocal microscopy. Three-dimensional data were rendered from two-dimensional images and compared with conventional, en face, histologic sections. Two-photon confocal microscopy images show resolution of muscle, fascia fibers, collagen fibers, inflammatory cells, blood vessels, and hair. Although these images do not currently have the resolution of standard histology, the ability to noninvasively acquire three-dimensional images of skin promises to be an important tool in wound-healing studies.
Tissue engineering of oral mucosa could allow improved reconstructive options for intraoral tissue defects. Porous collagen-glycosaminoglycan (CG) matrices coated with a silicone elastomer were seeded by centrifugation with cultured human oral mucosal epithelial cells (strain OKG4 gingival keratinocytes) at a density of 250,000 cells per square centimeter. Full-thickness dorsal wounds (1.5 x 1.5 cm) were created surgically on each athymic mouse and were treated with either a seeded matrix or an unseeded matrix, or they were left open as a control. The CG matrices reduced the degree of wound contraction at day 14 compared with open wounds. The epithelial thickness of seeded matrices at day 14 was significantly greater (p = 0.0001) than that of unseeded matrices. Seeded matrices had more rapid degradation at 14 days compared with unseeded matrices. Human oral mucosal cells seeded into CG matrices contribute to form a stratified and differentiated epithelial layer during revascularization, cellular infiltration, and degradation of the CG matrix.