The aim of this study was to identify and characterize the bioactive peptide profile of Podolica cow's milk. This dairy product is known for its nutritional properties related to the presence of peculiar lipids and is a typical breed traditionally reared in southern Italy. Using top-down peptidomics, we identified 2213 peptides in milk samples from four different farms, with 19 matching bioactive sequences. Bioactivities include dipeptidyl peptidase-IV (DPP-IV) inhibition, angiotensin-converting enzyme (ACE) inhibition, antioxidant activity, enhanced calcium uptake, and other peptides with potential antimicrobial effects. DPP-IV-inhibitory peptides (e.g., LDQWLCEKL and VGINYWLAHK) suggest potential for type 2 diabetes management, while ACE inhibitors (such as YLGY and FFVAPFPEVFGK) could support cardiovascular health by reducing hypertension. Antimicrobial peptides such as SDIPNPIGSENSEK and VLNENLLR showed broad spectrum of activity against various harmful microorganisms, positioning Podolica milk as a promising source for natural antimicrobial agents. Additionally, peptides with osteoanabolic, antianxiety, and immunomodulatory properties further highlight the multifaceted health benefits associated with this type of milk. Our findings underline the functional richness of Podolica milk peptides with various bioactivity properties, which could enhance the value of derived dairy products and contribute to sustainable agricultural practices. Future research will aim to explore these bioactivity properties in vivo, establishing a foundation for functional foods and supplements based on Podolica milk.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.3390/foods14050877 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Detection of Bioactive Peptides' Signature in Podolica Cow's Milk.
Foods
March 2025
Department of Health Sciences, Magna Græcia University of Catanzaro, 88100 Catanzaro, Italy.
The aim of this study was to identify and characterize the bioactive peptide profile of Podolica cow's milk. This dairy product is known for its nutritional properties related to the presence of peculiar lipids and is a typical breed traditionally reared in southern Italy. Using top-down peptidomics, we identified 2213 peptides in milk samples from four different farms, with 19 matching bioactive sequences.
View Article and Find Full Text PDFThe growing, resilient, inclusive and sustainable (GRINS) project for the development of life cycle inventory databases of beef cattle raised in Italy: The statistical datasets and the environmental assessment.
Sci Total Environ
December 2024
Ionian Department of Law, Economics and Environment, University of Bari Aldo Moro, viale Ancona angolo via Maggiore, 74121 Taranto, Italy.
Within the framework of the Growing, Resilient, Inclusive and Sustainable (GRINS) project (Spoke 1, WP3, Next Generation EU program), this work aims to overcome the absence of Italian beef cattle Life Cycle Inventory (LCI) datasets through a capillary analysis of several parameters. Specifically, the contribution to the environmental impact of livestock breeding of breed features (age, gender, weight, daily weight gain, breeding, feed intake and composition, milk and manure production), as well as stable management and crop cultivation was investigated. Statistical inventory datasets (84 in total) were developed for the predominant (<1 % population cut-off) beef cattle breeds in Italy.
View Article and Find Full Text PDFDetection of Antimicrobial Proteins/Peptides and Bacterial Proteins Involved in Antimicrobial Resistance in Raw Cow's Milk from Different Breeds.
Antibiotics (Basel)
September 2024
Department of Health Sciences, Magna Græcia University of Catanzaro, 88100 Catanzaro, Italy.
Article Synopsis
- The study investigates the presence of antimicrobial peptides (AMPs) and antibiotic resistance proteins in bovine milk from various breeds, focusing on both intensive and non-intensive farming practices.
- Using advanced techniques like LAP-MALDI mass spectrometry and metaproteomics, researchers analyzed milk samples to identify and characterize these proteins while successfully distinguishing Podolica breed milk from other breeds with an impressive accuracy rate.
- The findings revealed a significant diversity in the bacterial ecosystem of milk and identified specific resistance proteins, like beta-lactamases, across samples, indicating no significant differences linked to the breed of cow.
Spectral Profiling (Fourier Transform Infrared Spectroscopy) and Machine Learning for the Recognition of Milk from Different Bovine Breeds.
Animals (Basel)
April 2024
Interdepartmental Center Veterinary Service for Human and Animal Health, "Magna Græcia University" of Catanzaro, CISVetSUA, Campus Universitario "Salvatore Venuta" Viale Europa, 88100 Catanzaro, Italy.
The Podolica cattle breed is widespread in southern Italy, and its productivity is characterized by low yields and an extraordinary quality of milk and meats. Most of the milk produced is transformed into "Caciocavallo Podolico" cheese, which is made with 100% Podolica milk. Fourier Transform Infrared Spectroscopy (FTIR) is the technique that, in this research work, was applied together with machine learning to discriminate 100% Podolica milk from contamination of other Calabrian cattle breeds.
View Article and Find Full Text PDFThis research communication reports concentrations of two sialic acids (SA), -acetylneuraminic (Neu5Ac) and -glycolylneuraminic (Neu5Gc), in fresh milk from different cow breeds throughout lactation. According to published studies, the two SA types found in animal-derived products have diverse and conflicting effects on human health, but SA content is not routinely analysed in individual milk cows samples. We measured the content of Neu5Ac and Neu5Gc in milk from Holstein Friesian (HO), Simmental (SM), Simmental × Holstein crossbred (SM×HO), and Podolica (POD) cows at 60 and 120 d following calving.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!