Evidence map›Paper›PMID 27429603›Full record

ArticleClinical proteomics2016

Identification of potential protein biomarkers for early detection of pregnancy in cow urine using 2D DIGE and label free quantitation.

Preeti Rawat, Shveta Bathla, Rubina Baithalu, Munna Lal Yadav, Sudarshan Kumar, Syed Azamal Ali, Anurag Tiwari, Masoud Lotfan, Jasmine Naru, Manoj Jena and 8 more

Open access · goldAbstract read
In one paragraph

Article in Clinical proteomics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
4.4field-weighted citation impact, top 6% 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

14 citing papers in PubMed, 55 citations in OpenAlex.

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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

18 authors at 2 institutions in 1 country.

Preeti Rawat *National Dairy Research Institute, Karnal, 132001 India.
Shveta Bathla *National Dairy Research Institute, Karnal, 132001 India.
Rubina BaithaluNational Dairy Research Institute, Karnal, 132001 India.
Munna Lal YadavNational Dairy Research Institute, Karnal, 132001 India.
Sudarshan KumarNational Dairy Research Institute, Karnal, 132001 India.
Syed Azamal AliNational Dairy Research Institute, Karnal, 132001 India.
Anurag TiwariNational Dairy Research Institute, Karnal, 132001 India.
Masoud LotfanNational Dairy Research Institute, Karnal, 132001 India.
Jasmine NaruNational Dairy Research Institute, Karnal, 132001 India.
Manoj JenaNational Dairy Research Institute, Karnal, 132001 India.
Pradip BehereNational Dairy Research Institute, Karnal, 132001 India.
Ashok K BalharaCentral Institute for Research on Buffaloes, Hisar, 125001 India.
Rajesh VashisthBruker Daltonics, Bangalore, India.
Inderjeet SinghCentral Institute for Research on Buffaloes, Hisar, 125001 India.
Ajay DangNational Dairy Research Institute, Karnal, 132001 India.
Jai K KaushikNational Dairy Research Institute, Karnal, 132001 India.
Tushar K MohantyNational Dairy Research Institute, Karnal, 132001 India.
Ashok K MohantyNational Dairy Research Institute, Karnal, 132001 India.
National Dairy Research Institute · INCentral Institute for Research on Buffaloes · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAn early, reliable and noninvasive method of early pregnancy diagnosis is prerequisite for efficient reproductive management in dairy industry. The early detection of pregnancy also help in to reduce the calving interval and rebreeding time which is beneficial for industries as well as farmers. The aim of this work is to identify potential biomarker for pregnancy detection at earlier stages (16-25 days). To achieve this goal we performed DIGE and LFQ for identification of protein which has significant differential expression during pregnancy.

resultsDIGE experiment revealed a total of eleven differentially expressed proteins out of which nine were up regulated having fold change ≥1.5 in all time points. The LFQ data analysis revealed 195 differentially expressed proteins (DEPs) out of 28 proteins were up-regulated and 40 down regulated having significant fold change ≥1.5 and ≤0.6 respectively. Bioinformatics analysis of DEPs showed that a majority of proteins were involved in regulation of leukocyte immunity, endopeptidase inhibitor activity, regulation of peptidase activity and polysaccharide binding.

conclusionThis is first report on differentially expressed protein during various time points of pregnancy in cow to our best knowledge. In our work, we identified few proteins such MBP, SERPIN, IGF which were differentially expressed and actively involved in various activities related to pregnancy such as embryo implantation, establishment and maintenance of pregnancy. Due to their involvement in these events, these can be considered as biomarker for pregnancy but further validation of is required.

Indexed as

BiomarkerDIGEGene OntologyLFQMass spectrometryNetwork constructionUrine

Identifiers

PMID27429603
PMCPMC4946208
OpenAlexW2474000883

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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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.