Evidence map›Paper›PMID 35207596›Full record

ArticleLife (Basel, Switzerland)2022

Characterization of Serum Metabolome and Proteome Profiles Identifies SNX5 Specific for Pregnancy Failure in Holstein Heifers.

Kazuya Kusama, Rulan Bai, Yuta Matsuno, Atsushi Ideta, Toshihiro Sakurai, Kentaro Nagaoka, Masatoshi Hori, Kazuhiko Imakawa

Open access · goldAbstract read
In one paragraph

Article in Life (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.1field-weighted citation impact, top 14% 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

8 citing papers in PubMed, 9 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
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

8 authors at 7 institutions in 2 countries.

Kazuya KusamaDepartment of Endocrine Pharmacology, Tokyo University of Pharmacy and Life Sciences, Tokyo 192-0392, Japan.ORCID 0000-0002-9120-0475
Rulan BaiCollege of Veterinary Medicine, China Agricultural University, Beijing 100193, China.
Yuta MatsunoResearch Institute of Agriculture, Tokai University, Kumamoto 862-8652, Japan.
Atsushi IdetaZen-Noh Embryo Transfer Center, Fukuoka 810-0001, Japan.
Toshihiro SakuraiSchool of Pharmaceutical Science, Ohu University, Fukushima 963-8611, Japan.
Kentaro NagaokaLaboratory of Veterinary Physiology, Cooperative Department of Veterinary Medicine, Faculty of Agriculture, Tokyo University of Agriculture and Technology, Tokyo 183-8509, Japan.
Masatoshi HoriLaboratory of Veterinary Pharmacology, Graduate School of Agricultural and Life Sciences, The University of Tokyo, Tokyo 113-8657, Japan.
Kazuhiko ImakawaResearch Institute of Agriculture, Tokai University, Kumamoto 862-8652, Japan.ORCID 0000-0002-3798-3560
Kyushu Tokai University · JPChina Agricultural University · CNOhu University · JPThe University of Tokyo · JPTokyo University of Agriculture and Technology · JPTokyo University of Pharmacy and Life Sciences · JPZen-Noh (Japan) · JP

Funding

Japan Racing Association Livestock Promotional Funds of Japan Racing Association
6 · The paper itself

Abstract

Pregnancy loss predominantly occurs during the first 3-4 weeks due to fertilization failure or early embryonic losses in cattle. Insufficient biochemical communication between conceptus (embryo plus extraembryonic membranes) and endometrium has been suspected as the primary cause for early embryonic losses. If molecules regulating this communication were identified, molecular mechanisms associated with early pregnancy losses could be better understood. To identify candidate molecules as detection markers of non-pregnant or females undergoing embryonic loss, peripheral blood from embryo-transferred heifers on day 7 (day 0 = day of estrus) were collected on days 17 (pre-attachment), 20 (during attachment), and 22 (post-attachment), which were subjected to metabolome and global proteome iTRAQ analyses. The metabolome analysis partly divided serum components into pregnant or not. In the iTRAQ analysis, heatmap analysis with top 25 proteins was separated into pregnant or not on day 20 or 22. Furthermore, receiver operating characteristic curve (ROC) analysis identified five candidate proteins detecting non-pregnant heifers, of which SNX5 in day 22 serum had the highest area under the curve (AUC): 0.983. We also detected SNX5 in day 22 serum from non-pregnant heifers using western blotting. These results suggest that high SNX5 in day 22 serum could predict early pregnancy loss in heifers.

Indexed as

Holstein heifermetabolome analysispregnancy lossproteome analysissorting nexin 5

Identifiers

PMID35207596
PMCPMC8877674
OpenAlexW4214509673

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.