JOURNAL ARTICLE

Comparative study of the ciliary body and iris morphology in the anterior eye chamber of five different vertebrate classes.

  • Published In: Anatomia, Histologia, Embryologia: Journal of Veterinary Medicine Series C, 2024, v. 53, n. 3. P. 1 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Seleem, Amin A.; Badr, Amira H. 3 of 3

Abstract

One crucial component of the optical system is the ciliary body (CB). This body secretes the aqueous humour, which is essential to maintain the internal eye pressure as well as the clearness of the lens and cornea. The histological study was designed to provide the morphological differences of CB and iris in the anterior eye chambers of the following vertebrate classes: fish (grass carp), amphibians (Arabian toad), reptiles (semiaquatic turtle, fan‐footed gecko, ocellated skink, Egyptian spiny‐tailed lizard, Arabian horned viper), birds (common pigeon, common quail, common kestrel), and mammals (BALB/c mouse, rabbit, golden hamster, desert hedgehog, lesser Egyptian jerboa, Egyptian fruit bat). The results showed distinct morphological appearances of the CB and iris in each species, ranging from fish to mammals. The present comparative study concluded that the morphological structure of the CB and iris is the adaptation of species to either their lifestyle or survival in specific habitats. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Anatomia, Histologia, Embryologia: Journal of Veterinary Medicine Series C. 2024/05, Vol. 53, Issue 3, p1
  • Document Type:Article
  • Subject Area:Anatomy and Physiology
  • Publication Date:2024
  • ISSN:0340-2096
  • DOI:10.1111/ahe.13052
  • Accession Number:177219439
  • Copyright Statement:Copyright of Anatomia, Histologia, Embryologia: Journal of Veterinary Medicine Series C is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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