Pregnancy diagnosis and sex identification with urinary glycopatterns of two mammal species

Jiayi Yang, Shiyu Jin, Simeng Zhang, Shujun He, Rui Chen, Yinghu Lei, Ruliang Pan, He Zhang, Zhongfu Wang, Zheng Li, Hanjie Yu, Guixin Dong, Changhong Shi, Baoguo Li, Songtao Guo

Research output: Contribution to journalArticlepeer-review

Abstract

Glycome in urine could be promising biomarkers for detecting pregnancy diagnosis and sex noninvasively for animals, especially for rare species. We explore the applicability of grouping golden snub-nosed monkeys by sex or diagnosing pregnancy based on their urinary glycopatterns, which are determined via lectin microarray combining mass spectrometry analysis. Sprague-Dawley rats are used to verify whether this approach and whether the glycomic biomarkers can be generalized to other mammalian species. The results show that, for both species, lectin microarray combining mass spectrometry can distinguish individuals’ pregnancy status and sex; significant differences are found in the types, amounts, and terminal modification of glycans between pregnant and non-pregnant females and between females and males. This indicates the approach could be generalized to other mammalian species to group sex and detect pregnancy, yet the glycopatterns appear to be species-specific and markers developed from one species may not be directly applicable to another.

Original languageEnglish
Article number108439
JournalIscience
Volume26
Issue number12
DOIs
Publication statusPublished - 15 Dec 2023

Fingerprint

Dive into the research topics of 'Pregnancy diagnosis and sex identification with urinary glycopatterns of two mammal species'. Together they form a unique fingerprint.

Cite this