Mass Spectrometry-Based Identification of Urinary Antimicrobial Peptides in Dairy Cows

Author(s): Ambika Sharma*, Rajesh Nigam, Ashish Kumar, Simmi Singh.

Journal Name: Protein & Peptide Letters

Volume 27 , Issue 3 , 2020

Become EABM
Become Reviewer

Graphical Abstract:


Abstract:

Background: Urine is considered one of the biological fluids in which antimicrobial peptides are secreted or expressed. Cow urine has not been investigated for the presence of these peptides using MALDI-TOF-MS.

Objective: The aim of this study is to isolate, identify and assess the antimicrobial activity of urinary antimicrobial peptides from healthy normal cycling cows.

Methods: We analyzed the urine sample using diafiltration, ion exchange chromatography, Reverse Phase High-Performance Liquid Chromatography (RP-HPLC), acid urea polyacrylamide gel electrophoresis (AU-PAGE) coupled with identification through Peptide Mass Fingerprinting (PMF) by matrix-assisted laser desorption ionization time-of-flight mass spectrometry (MALDITOF- MS). The in vitro antimicrobial effects of purified fractions were assessed using Radial Diffusion Assay (RDA) and microtitre broth dilution assay against Gram-positive and Gramnegative bacteria.

Results: Proteins corresponding to the peaks were identified using SWISSPROT protein database. This study revealed constitutive expression of β-Defensin-1 (DEFB1), β-Defensin-4A (DFB4A), Neutrophil Defensin-1 (DEF1), Neutrophil Defensin-3 (DEF3) in cow urine. The identified peptides are cationic antimicrobial peptides of the defensin family. The purified fractions exhibited antimicrobial effects in radial diffusion assay and MIC values in the range of 2.93-29.3 µM/L.

Conclusion: This study concludes that cow urine, previously unexplored with regard to antimicrobial peptides, would be a promising source of highly potent AMPs and an effective alternative to the resistant antibiotics.

Keywords: Urine, AU-PAGE, MALDI-TOF-MS, antimicrobial peptides, defensins, innate immunity, radial diffusion assay.

Rights & PermissionsPrintExport Cite as

Article Details

VOLUME: 27
ISSUE: 3
Year: 2020
Page: [225 - 235]
Pages: 11
DOI: 10.2174/0929866526666191025105038
Price: $65

Article Metrics

PDF: 9

Special-new-year-discount