Evidence map›Paper›PMID 38213790›Full record

ArticleiScience2023

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 and 5 more

Open access · goldAbstract read
In one paragraph

Article in iScience, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.3field-weighted citation impact, top 33% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors at 5 institutions in 2 countries.

Jiayi YangShaanxi Key Laboratory for Animal Conservation, College of Life Sciences, Northwest University, Xi'an 710069, China.
Shiyu JinShaanxi Key Laboratory for Animal Conservation, College of Life Sciences, Northwest University, Xi'an 710069, China.
Simeng ZhangShaanxi Key Laboratory for Animal Conservation, College of Life Sciences, Northwest University, Xi'an 710069, China.
Shujun HeShaanxi Institute of Zoology, Xi'an 710032, China.
Rui ChenShaanxi Key Laboratory for Animal Conservation, College of Life Sciences, Northwest University, Xi'an 710069, China.
Yinghu LeiQinling Giant Panda Research Center (Shaanxi rare wildlife rescue base), Shaanxi Academy of Forestry, Xi'an 710402, China.
Ruliang PanShaanxi Key Laboratory for Animal Conservation, College of Life Sciences, Northwest University, Xi'an 710069, China.
He ZhangShaanxi Key Laboratory for Animal Conservation, College of Life Sciences, Northwest University, Xi'an 710069, China.
Zhongfu WangCollege of Food Science and Technology, Northwest University, Xi'an 710069, China.
Zheng LiLaboratory for Functional Glycomics, College of Life Sciences, Northwest University, Xi'an 710069, China.
Hanjie YuLaboratory for Functional Glycomics, College of Life Sciences, Northwest University, Xi'an 710069, China.
Guixin DongGuangdong South China Rare Wild Animal Species Conservation Center, Zhuhai 511430, China.
Changhong ShiLaboratory Animal Center, The Air Force Medical University, Xi'an 710032, China.
Baoguo LiShaanxi Key Laboratory for Animal Conservation, College of Life Sciences, Northwest University, Xi'an 710069, China.
Songtao GuoShaanxi Key Laboratory for Animal Conservation, College of Life Sciences, Northwest University, Xi'an 710069, China.
Northwest University · CNAir Force Medical University · CNChinese Academy of Sciences · CNShaanxi Institute of Zoology · CNThe University of Western Australia · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

BiochemistryNature conservationVeterinary biochemistryZoology

Identifiers

PMID38213790
PMCPMC10783609
OpenAlexW4388666475

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.