Evidence map›Paper›PMID 34127704›Full record

ArticleScientific reports2021

Peptide profiling in cow urine reveals molecular signature of physiology-driven pathways and in-silico predicted bioactive properties.

Rohit Kumar, Syed Azmal Ali, Sumit Kumar Singh, Vanya Bhushan, Jai Kumar Kaushik, Ashok Kumar Mohanty, Sudarshan Kumar

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
2.0field-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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 14 citations in OpenAlex.

  1. Camel (International journal of molecular sciences · 2022
    Pooled it
  2. Article
  3. Peptidome Profiling ofAntibiotics (Basel, Switzerland) · 2024
    Article
  4. Review
  5. 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

7 authors at 1 institution in 1 country.

Rohit KumarICAR-National Dairy Research Institute, Cell Biology and Proteomics Lab, Animal Biotechnology Center (ABTC), Karnal, Haryana, 132001, India.
Syed Azmal AliICAR-National Dairy Research Institute, Cell Biology and Proteomics Lab, Animal Biotechnology Center (ABTC), Karnal, Haryana, 132001, India.
Sumit Kumar SinghICAR-National Dairy Research Institute, Cell Biology and Proteomics Lab, Animal Biotechnology Center (ABTC), Karnal, Haryana, 132001, India.
Vanya BhushanICAR-National Dairy Research Institute, Cell Biology and Proteomics Lab, Animal Biotechnology Center (ABTC), Karnal, Haryana, 132001, India.
Jai Kumar KaushikICAR-National Dairy Research Institute, Cell Biology and Proteomics Lab, Animal Biotechnology Center (ABTC), Karnal, Haryana, 132001, India.
Ashok Kumar MohantyICAR-National Dairy Research Institute, Cell Biology and Proteomics Lab, Animal Biotechnology Center (ABTC), Karnal, Haryana, 132001, India.
Sudarshan KumarICAR-National Dairy Research Institute, Cell Biology and Proteomics Lab, Animal Biotechnology Center (ABTC), Karnal, Haryana, 132001, India. kumarsudershan@gmail.com.
National Dairy Research Institute · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Peptidomics allows the identification of peptides that are derived from proteins. Urinary peptidomics has revolutionized the field of diagnostics as the samples represent complete systemic changes happening in the body. Moreover, it can be collected in a non-invasive manner. We profiled the peptides in urine collected from different physiological states (heifer, pregnancy, and lactation) of Sahiwal cows. Endogenous peptides were extracted from 30 individual cows belonging to three groups, each group comprising of ten animals (biological replicates n = 10). Nano Liquid chromatography Mass spectrometry (nLC-MS/MS) experiments revealed 5239, 4774, and 5466 peptides in the heifer, pregnant and lactating animals respectively. Urinary peptides of <10 kDa size were considered for the study. Peptides were extracted by 10 kDa MWCO filter. Sequences were identified by scanning the MS spectra ranging from 200 to 2200 m/z. The peptides exhibited diversity in sequences across different physiological states and in-silico experiments were conducted to classify the bioactive peptides into anti-microbial, anti-inflammatory, anti-hypertensive, and anti-cancerous groups. We have validated the antimicrobial effect of urinary peptides on Staphylococcus aureus and Escherichia coli under an in-vitro experimental set up. The origin of these peptides was traced back to certain proteases viz. MMPs, KLKs, CASPs, ADAMs etc. which were found responsible for the physiology-specific peptide signature of urine. Proteins involved in extracellular matrix structural constituent (GO:0005201) were found significant during pregnancy and lactation in which tissue remodeling is extensive. Collagen trimers were prominent molecules under cellular component category during lactation. Homophilic cell adhesion was found to be an important biological process involved in embryo attachment during pregnancy. The in-silico study also highlighted the enrichment of progenitor proteins on specific chromosomes and their relative expression in context to specific physiology. The urinary peptides, precursor proteins, and proteases identified in the study offers a base line information in healthy cows which can be utilized in biomarker discovery research for several pathophysiological studies.

Indexed as

Amino Acid SequenceAnimalsAntimicrobial Cationic PeptidesCattleComputer SimulationEmbryo ImplantationFemaleLactationPeptide HydrolasesPregnancyProteomicsSpectrometry, Mass, Matrix-Assisted Laser Desorption-IonizationTandem Mass SpectrometryAntimicrobial Cationic PeptidesPeptide Hydrolases

Identifiers

PMID34127704
PMCPMC8203733
OpenAlexW3171220392

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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.