Repository logo
Log In(current)
  1. Home
  2. Colleges & Schools
  3. Graduate School
  4. Masters Theses
  5. Predicting endometriosis based on the presence of antiendometrial antibodies
Details

Predicting endometriosis based on the presence of antiendometrial antibodies

Date Issued
May 1, 1993
Author(s)
Rosteck, Robert A.
Advisor(s)
C. Alex Shivers
Additional Advisor(s)
Jeff MacCabe, M. L. Pan
Abstract

The ability and accuracy of an assay designed to detect antiendometrial antibodies found in samples of serum, follicular fluid, and peritoneal fluid is significant in determining whether endometriosis can be predicted. Samples were collected from 264 patients of local gynecologists and an in vitro fertilization laboratory. An antiendometrial antibody (AEA) assay was used to test for endometriosis. Collected samples were applied to normal human endometrial tissue. A second antibody labeled to fluorescein isothiocyanate (FITC) was also applied. Laparoscopy performed by gynecologists and the in vitro fertilization laboratory served as a control for the AEA assay. Serum produced the most accurate results when compared to laparoscopy while follicular fluid and peritoneal fluid produced results similar to each other, but less accurate than serum. Further refinement of the AEA assay could result in a useful, nonsurgical technique for predicting endometriosis. Also under investigation was whether human antiendometrial antibodies cross reacted with endometrial tissue from other mammals. Among the mammals tested, marmoset and porcine endometrial tissue produced results that best correlated to human endometrial tissue when exposed to antiendometrial antibodies. Due to economic practicality, porcine endometrial tissue was chosen as an alternative to human endometrial tissue for use in the AEA assay.

Degree
Master of Science
Major
Zoology
File(s)
Thumbnail Image
Name

Thesis93.R688.pdf_AWSAccessKeyId_AKIAYVUS7KB2IXSYB4XB_Signature_pEO59eOXVZ9C59K_2BxJBlqc01S8o_3D_Expires_1729107035

Size

1.77 MB

Format

Unknown

Checksum (MD5)

3cb3ec5e00bd980136692430e9a4938e

Built with DSpace-CRIS software - Extension maintained and optimized by 4Science

  • Privacy policy
  • End User Agreement
  • Send Feedback
  • Contact
  • Libraries at University of Tennessee, Knoxville
Repository logo COAR Notify