摘要
[目的]运用组织学方法对黄淮白山羊舌黏膜组织结构及神经纤维分布进行观察。[方法]选用健康黄淮白山羊3只，通过颈动脉放血致死，立即取其舌尖、舌体、舌根、舌圆枕各部组织，经4％多聚甲醛溶液固定24 h 后脱水、包埋、切片、HE 及银氨染液染色后显微镜观察。[结果]舌黏膜主要包括黏膜层、黏膜下层和舌肌，在光镜下各层分界明显，黏膜上皮为复层扁平上皮细胞，舌尖部黏膜层上皮组织相对较薄，黏膜层中可见明显的味蕾，舌尖处神经纤维主要分布于黏膜表面相邻乳头之间的凹陷处，舌乳头黏膜层较少观察到神经纤维；舌体和舌圆枕黏膜层较厚，可观察到较多的乳头突入黏膜层，舌根黏膜层最薄，突入到黏膜层的乳头结构少。舌体和舌根处的黏膜层可观察到较多平行排列的神经纤维。[结论]黄淮白山羊舌尖部黏膜层最薄，舌体和舌根处最厚，舌尖和舌体及舌根部肌纤维为骨骼肌。神经纤维主要分布于黄淮白山羊舌黏膜层。
Abstract
Objective] Using histological method, tissue structure and nerve fibers distribution of tongue mucosa of Huanghuai white goat were observed.[Method] Choosing 3 healthy Huanghuai white goats, through the carotid artery bleeding to death, immediately took the tissue of lin-gual apex, lingual body, lingual root and lingual torus, through 4% paraformaldehyde solution fixed 24 h, after dehydration, embedding, sectio-ning, HE and silver ammonia dyeing, microscope observation was carried out.[Result] Lingual mucous membrane mainly included mucosa, submucosa and lingual muscle, under light microscopy obvious boundary between each layer, and mucosa epithelium was stratified squamous epi-thelium, the mucosa epithelial tissue of lingual apex was relatively thin, there were obvious taste buds in mucosa, the nerve fibers mainly distrib-uted in the adjacent cavity between papillae of mucosal surface, there were less nerve fibers in the lingual papilla mucosa; the mucosa epithelial tissue of lingual body and lingual torus was relatively thick, more papillae can be observed into mucosa, the mucosa epithelial tissue of lingual root was thinnest, less papillae can be observed into mucosa.The mucosa of lingual body and lingual root had more parallel arrangement of nerve fibers.[Conclusion] The lingual apex mucosa of Huanghuai white goat is most thin, and lingual body and lingual root are most thick, the muscle fiber type is skeletal muscle in lingual apex, lingual body and lingual root place.Nerve fibers mainly distribute in lingual mucosa of Huanghuai white goat.
基金项目
安徽省高等学校自然科学研究重点项目(KJ2016A823)
安徽省第七批“115”产业创新团队项目［(皖人才20144号］)
安徽省第七批“115”产业创新团队项目［()
安徽科技学院自然科学基金重点项目(ZRC2013357)
安徽科技学院重点建设学科项目(AKZDXK2015A04)
国家科技期刊平台
NSTL
维普
万方数据