Evidence map›Paper›PMID 39796298›Full record

ArticleFoods (Basel, Switzerland)2024

Antimicrobial Peptides from Porcine Blood Cruor Hydrolysates as a Promising Source of Antifungal Activity.

Sara García-Vela, Aurore Cournoyer, Zain Sánchez-Reinoso, Laurent Bazinet

Abstract read
In one paragraph

Article in Foods (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
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. Article
  2. Article
  3. Review
  4. Article
  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

4 authors.

Sara García-VelaDepartment of Food Science, Université Laval, Québec, QC G1V 0A6, Canada.
Aurore CournoyerDepartment of Food Science, Université Laval, Québec, QC G1V 0A6, Canada.ORCID 0000-0001-5451-2675
Zain Sánchez-ReinosoDepartment of Food Science, Université Laval, Québec, QC G1V 0A6, Canada.ORCID 0000-0001-5430-4729
Laurent BazinetDepartment of Food Science, Université Laval, Québec, QC G1V 0A6, Canada.ORCID 0000-0002-6818-3558

Funding

Consortium de Recherche et Innovations en Bioprocédés Industriels au Québec (CRIBIQ) 2020-050-C67Natural Sciences and Engineering Research Council of Canada (NSERC), Alliance Grant "Inte-grated valorization of coproducts by eco-efficient food technologies in the context of a circular economy (Consortium VITALE)" ALLRP561008-20
6 · The paper itself

Abstract

Porcine blood, a significant byproduct of the pork industry, represents a potential source of antimicrobial peptides (AMPs). AMPs offer a promising alternative to chemical antimicrobials, which can be used as natural preservatives in the food industry. AMPs can exhibit both antibacterial and/or antifungal properties, thus improving food safety and addressing the growing concern of antibiotic and antifungal resistance. The objective of this study was to evaluate the antimicrobial activity of potential AMPs previously identified from porcine cruor hydrolysates. To this end, a total of sixteen peptides were chemically synthesized and their antimicrobial activities (antibacterial, anti-mold, and anti-yeast) were evaluated using microtitration and agar well diffusion methods against a wide range of microorganisms. Five new peptide sequences demonstrated antifungal activity, with Pep5 (FQKVVAGVANALAHKYH), an alpha-helix peptide, exhibiting the most promising results. Pep5 demonstrated efficacy against nine of the eleven fungal isolates, exhibiting low minimum inhibitory concentrations (MICs) and a fungicidal effect against key spoilage fungi (

Indexed as

antifungal peptidesantimicrobial peptidesporcine cruor hydrolysates

Identifiers

PMID39796298
PMCPMC11719724

What OpenQuestion holds

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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.