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Czoska P, Tarsalewska K, Ponichtera M, Rybicka M, Sowa-Rogozinska N, Sominka-Pierzchlewicz H, Stodolna A, Ogonowska P, Kosciuk A, Glosnicka R, Bielawski KP. Growth-Inhibitory Effect of Chicken Egg Yolk Polyclonal Antibodies (IgY) on Zoonotic Pathogens Campylobacter jejuni, Salmonella spp. and Escherichia coli, In Vitro. Int J Mol Sci 2025; 26:1040. [PMID: 39940808 PMCID: PMC11816624 DOI: 10.3390/ijms26031040] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2024] [Revised: 01/17/2025] [Accepted: 01/21/2025] [Indexed: 02/16/2025] Open
Abstract
The overuse of antibiotics in animal husbandry has driven the search for alternative strategies to combat zoonotic pathogens. Foodborne zoonotic diseases caused by pathogenic bacteria pose a significant threat to human health, and therefore food safety should be a priority. This study investigates the in vitro inhibitory effects of chicken egg yolk immunoglobulin Y (IgY) on the growth and viability of three major foodborne pathogens: Campylobacter jejuni, Salmonella spp., and Escherichia coli. IgY was isolated from immunized hen egg yolks using a modified water dilution method, and its antigen-specificity confirmed through agglutination assays. Growth inhibition was evaluated across multiple doses and time points, revealing a dose-dependent bacteriostatic effect against all tested pathogens. A single dose of IgY (0.5 mg/mL) significantly reduced C. jejuni counts by up to 7 log, while repeated doses were required for Salmonella spp. and E. coli. These findings highlight egg yolk immunoglobulin's potential as a source of sustainable, effective, ethical, readily available, and inexpensive antibiotic substitutes in livestock management. Future research will focus on validating these results in vivo and exploring large-scale production of IgY for practical application in animal healthcare.
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Affiliation(s)
- Paulina Czoska
- Research and Development Department of Salmonella Center IMMUNOLAB Ltd., Kladki 24, 80-822 Gdansk, Poland; (P.C.); (K.T.); (M.P.); (N.S.-R.); (H.S.-P.); (A.S.); (P.O.); (A.K.); (R.G.)
| | - Karolina Tarsalewska
- Research and Development Department of Salmonella Center IMMUNOLAB Ltd., Kladki 24, 80-822 Gdansk, Poland; (P.C.); (K.T.); (M.P.); (N.S.-R.); (H.S.-P.); (A.S.); (P.O.); (A.K.); (R.G.)
| | - Magdalena Ponichtera
- Research and Development Department of Salmonella Center IMMUNOLAB Ltd., Kladki 24, 80-822 Gdansk, Poland; (P.C.); (K.T.); (M.P.); (N.S.-R.); (H.S.-P.); (A.S.); (P.O.); (A.K.); (R.G.)
| | - Magda Rybicka
- Intercollegiate Faculty of Biotechnology, University of Gdansk and Medical University of Gdansk, Abrahama 58, 80-307 Gdansk, Poland
| | - Natalia Sowa-Rogozinska
- Research and Development Department of Salmonella Center IMMUNOLAB Ltd., Kladki 24, 80-822 Gdansk, Poland; (P.C.); (K.T.); (M.P.); (N.S.-R.); (H.S.-P.); (A.S.); (P.O.); (A.K.); (R.G.)
| | - Hanna Sominka-Pierzchlewicz
- Research and Development Department of Salmonella Center IMMUNOLAB Ltd., Kladki 24, 80-822 Gdansk, Poland; (P.C.); (K.T.); (M.P.); (N.S.-R.); (H.S.-P.); (A.S.); (P.O.); (A.K.); (R.G.)
| | - Aleksandra Stodolna
- Research and Development Department of Salmonella Center IMMUNOLAB Ltd., Kladki 24, 80-822 Gdansk, Poland; (P.C.); (K.T.); (M.P.); (N.S.-R.); (H.S.-P.); (A.S.); (P.O.); (A.K.); (R.G.)
| | - Patrycja Ogonowska
- Research and Development Department of Salmonella Center IMMUNOLAB Ltd., Kladki 24, 80-822 Gdansk, Poland; (P.C.); (K.T.); (M.P.); (N.S.-R.); (H.S.-P.); (A.S.); (P.O.); (A.K.); (R.G.)
| | - Aleksandra Kosciuk
- Research and Development Department of Salmonella Center IMMUNOLAB Ltd., Kladki 24, 80-822 Gdansk, Poland; (P.C.); (K.T.); (M.P.); (N.S.-R.); (H.S.-P.); (A.S.); (P.O.); (A.K.); (R.G.)
| | - Renata Glosnicka
- Research and Development Department of Salmonella Center IMMUNOLAB Ltd., Kladki 24, 80-822 Gdansk, Poland; (P.C.); (K.T.); (M.P.); (N.S.-R.); (H.S.-P.); (A.S.); (P.O.); (A.K.); (R.G.)
| | - Krzysztof Piotr Bielawski
- Intercollegiate Faculty of Biotechnology, University of Gdansk and Medical University of Gdansk, Abrahama 58, 80-307 Gdansk, Poland
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Bodie AR, Rothrock MJ, Ricke SC. Comparison of optical density-based growth kinetics for pure culture Campylobacter jejuni, coli and lari grown in blood-free Bolton broth. JOURNAL OF ENVIRONMENTAL SCIENCE AND HEALTH. PART. B, PESTICIDES, FOOD CONTAMINANTS, AND AGRICULTURAL WASTES 2023; 58:671-678. [PMID: 37784245 DOI: 10.1080/03601234.2023.2264742] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/04/2023]
Abstract
Campylobacter growth kinetic parameters can be used to refine the sensitivity and efficiency of microbial growth-based methods. Therefore, the aim of this study was to construct growth curves for C. jejuni, C. coli, and C. lari in pure culture and calculate growth kinetics for each Campylobacter species in the same environmental conditions. Campylobacter jejuni, C. coli and C. lari were grown over 48 h and inoculated into 15 mL Hungate tubes (N = 3 trials per species; 5 biological replicates per trial; 3 species; 1 strain per species). Absorbance measurements were taken in 45 min intervals over 24 h. Optical density readings were plotted versus time to calculate growth kinetic parameters. C. jejuni exhibited the longest lag phase (p < 0.001) at 15 h 20 min ± 30 min, versus C. coli at 11 h 15 min ± 17 min, and C. lari at 9 h 27 min ± 15 min. The exponential phase duration was no longer than 5 h for all species, and doubling times were all less than 1h 30 min. The variation in growth kinetics for the three species of Campylobacter illustrates the importance of determining individual Campylobacter spp. growth responses for optimizing detection based on low bacterial levels. This study provides kinetics and estimates to define enrichment times necessary for low concentration Campylobacter detection.
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Affiliation(s)
- Aaron R Bodie
- Meat Science and Animal Biologics Discovery Program, Department of Animal and Dairy Sciences, University of Wisconsin, Madison, Wisconsin, USA
| | - Michael J Rothrock
- Egg Safety and Quality Research Unit, USDA-ARS U.S. National Poultry Research Center, Athens, Georgia, USA
| | - Steven C Ricke
- Meat Science and Animal Biologics Discovery Program, Department of Animal and Dairy Sciences, University of Wisconsin, Madison, Wisconsin, USA
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3
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Development of a novel visual detection technique for Campylobacter jejuni in chicken meat and caecum using polymerase spiral reaction (PSR) with pre-added dye. Food Control 2021. [DOI: 10.1016/j.foodcont.2021.108064] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
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Lanzl MI, Zwietering MH, Hazeleger WC, Abee T, den Besten HMW. Variability in lag-duration of Campylobacter spp. during enrichment after cold and oxidative stress and its impact on growth kinetics and reliable detection. Food Res Int 2020; 134:109253. [PMID: 32517946 DOI: 10.1016/j.foodres.2020.109253] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2019] [Revised: 03/26/2020] [Accepted: 04/16/2020] [Indexed: 02/06/2023]
Abstract
Campylobacter jejuni and Campylobacter coli continue to be the leading cause of zoonotic gastroenteritis in the European Union, making reliable detection in food important. Low storage temperatures and atmospheric oxygen concentrations during food production can cause sub-lethal damage or transient non-culturability which is why ISO 10272-1:2017 includes an enrichment step to repair cell damage and increase cell concentrations, thereby supporting detection of campylobacters from foods. The aim of this study was to assess the variability in lag-duration of C. jejuni and C. coli during enrichment after different food-relevant stress treatments and evaluate its impact on growth kinetics and reliability of detection outcomes. Therefore, 13 C. jejuni and 10 C. coli strains were subjected to cold stress during refrigerated and frozen storage. Refrigerated storage did not significantly reduce culturability, but frozen storage reduced cell concentrations by 1.6 ± 0.1 log10cfu/ml for both species. Subsequently, cells were enriched following ISO 10272-1:2017-A and cell concentrations were determined over time and lag-duration and growth rate were determined by fitting the Baranyi-model. Without prior stress treatment, mean lag-duration for C. jejuni and C. coli was 2.5 ± 0.2 h and 2.2 ± 0.3 h, respectively. Refrigerated storage increased lag-duration for C. jejuni to 4.6 ± 0.4 h and for C. coli to 5.0 ± 0.4 h and frozen storage increased lag-duration to 5.0 ± 0.3 h and 6.1 ± 0.4 h for C. jejuni and C. coli, respectively. Comparison of strain- and biological variability showed that differences in recovery after cold stress can be attributed mainly to strain variability since strain variability after refrigeration and freeze stress increased respectively 3-fold and 4-fold while biological variability remained constant. A subset of strains was also subjected to oxidative stress that reduced cell concentrations by 0.7 ± 0.2 log10 cfu/ml and comparison of recovery patterns after oxidative and freeze stress indicated that recovery behaviour was also dependent on the stress applied. A scenario analysis was conducted to evaluate the impact of heterogeneity in outgrowth kinetics of single cells on the reliability of detection outcomes following ISO protocol 10272-1:2017. This revealed that a 'worst-case'-scenario for successful detection by a combination of the longest lag-duration of 7.6 h and lowest growth rate of 0.47 h-1 still resulted in positive detection outcomes since the detection limit was reached within 32.5 h. This suggests that other factors such as competitive microbiota can act as a causative factor in false-negative outcomes of tested food samples.
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Affiliation(s)
- M I Lanzl
- Food Microbiology, Wageningen University, Bornse Weilanden 9, 6708WG Wageningen, the Netherlands
| | - M H Zwietering
- Food Microbiology, Wageningen University, Bornse Weilanden 9, 6708WG Wageningen, the Netherlands
| | - W C Hazeleger
- Food Microbiology, Wageningen University, Bornse Weilanden 9, 6708WG Wageningen, the Netherlands
| | - T Abee
- Food Microbiology, Wageningen University, Bornse Weilanden 9, 6708WG Wageningen, the Netherlands
| | - H M W den Besten
- Food Microbiology, Wageningen University, Bornse Weilanden 9, 6708WG Wageningen, the Netherlands.
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Núñez-Carmona E, Abbatangelo M, Zappa D, Comini E, Sberveglieri G, Sberveglieri V. Nanostructured MOS Sensor for the Detection, Follow up, and Threshold Pursuing of Campylobacter Jejuni Development in Milk Samples. SENSORS (BASEL, SWITZERLAND) 2020; 20:E2009. [PMID: 32260084 PMCID: PMC7180930 DOI: 10.3390/s20072009] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/07/2020] [Revised: 03/23/2020] [Accepted: 04/02/2020] [Indexed: 11/19/2022]
Abstract
Food poisoning is still the first cause of hospitalization worldwide and the most common microbial agent, Campylobacter jejuni, is the most commonly reported gastrointestinal disease in humans in the EU (European Union) as is reported by the European Union One Health 2018 Zoonoses Report styled by the EFSA (European Food Safety Authority) and ECDC (European Center for Disease Prevention and Control). One of the vehicles of transmission of this disease is milk. Nanostructured MOS (Metal Oxide Semiconductor) sensors have extensively demonstrated their ability to reveal the presence and follow the development of microbial species. The main objective of this work was to find a set up for the detection and development follow up of C. jejuni in milk samples. The work was structured in two different studies, the first one was a feasibility survey and the second one was to follow up the development of the bacteria inside milk samples. The obtained results of the first study demonstrate the ability of the sensor array to differentiate the contaminated samples from the control ones. Thanks to the second study, it has been possible to find the limit of microbial safety of the contaminated milk samples.
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Affiliation(s)
| | - Marco Abbatangelo
- Department of Information Engineering, University of Brescia, 25123 Brescia (BS), Italy; (M.A.); (D.Z.); (E.C.); (G.S.)
| | - Dario Zappa
- Department of Information Engineering, University of Brescia, 25123 Brescia (BS), Italy; (M.A.); (D.Z.); (E.C.); (G.S.)
| | - Elisabetta Comini
- Department of Information Engineering, University of Brescia, 25123 Brescia (BS), Italy; (M.A.); (D.Z.); (E.C.); (G.S.)
- NANO SENSOR SYSTEMS, Dep. Information Engineering, NASYS spin-off University of Brescia, 25123 Brescia (BS), Italy
| | - Giorgio Sberveglieri
- Department of Information Engineering, University of Brescia, 25123 Brescia (BS), Italy; (M.A.); (D.Z.); (E.C.); (G.S.)
- NANO SENSOR SYSTEMS, Dep. Information Engineering, NASYS spin-off University of Brescia, 25123 Brescia (BS), Italy
| | - Veronica Sberveglieri
- Institute of Bioscience and Bioresources, CNR-IBBR, 50019 Sesto Fiorentino (FI), Italy;
- NANO SENSOR SYSTEMS, Dep. Information Engineering, NASYS spin-off University of Brescia, 25123 Brescia (BS), Italy
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Innovative Sensor Approach to Follow Campylobacter jejuni Development. BIOSENSORS-BASEL 2019; 9:bios9010008. [PMID: 30621057 PMCID: PMC6468530 DOI: 10.3390/bios9010008] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/07/2018] [Revised: 12/17/2018] [Accepted: 12/26/2018] [Indexed: 01/02/2023]
Abstract
Campylobacter spp infection affects more than 200,000 people every year in Europe and in the last four years a trend shows an increase in campylobacteriosis. The main vehicle for transmission of the bacterium is contaminated food like meat, milk, fruit and vegetables. In this study, the aim was to find characteristic volatile organic compounds (VOCs) of C. jejuni in order to detect its presence with an array of metal oxide (MOX) gas sensors. Using a starting concentration of 103 CFU/mL, VOCs were analyzed using Gas-Chromatography Mass-Spectrometry (GC-MS) with a Solid-Phase Micro Extraction (SPME) technique at the initial time (T0) and after 20 h (T20). It has been found that a Campylobacter sample at T20 is characterized by a higher number of alcohol compounds that the one at T0 and this is due to sugar fermentation. Sensor results showed the ability of the system to follow bacteria curve growth from T0 to T20 using Principal Component Analysis (PCA). In particular, this results in a decrease of ΔR/R0 value over time. For this reason, MOX sensors are a promising technology for the development of a rapid and sensitive system for C. jejuni.
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Bayliss CD, Fallaize C, Howitt R, Tretyakov MV. Mutation and Selection in Bacteria: Modelling and Calibration. Bull Math Biol 2018; 81:639-675. [PMID: 30430330 PMCID: PMC6373360 DOI: 10.1007/s11538-018-0529-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2018] [Accepted: 10/26/2018] [Indexed: 11/28/2022]
Abstract
Temporal evolution of a clonal bacterial population is modelled taking into account reversible mutation and selection mechanisms. For the mutation model, an efficient algorithm is proposed to verify whether experimental data can be explained by this model. The selection–mutation model has unobservable fitness parameters, and, to estimate them, we use an Approximate Bayesian Computation algorithm. The algorithms are illustrated using in vitro data for phase variable genes of Campylobacter jejuni.
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Affiliation(s)
- C D Bayliss
- Department of Genetics, University of Leicester, Leicester, LE1 7RH, UK
| | - C Fallaize
- School of Mathematical Sciences, University of Nottingham, University Park, Nottingham, NG7 2RD, UK
| | - R Howitt
- School of Mathematical Sciences, University of Nottingham, University Park, Nottingham, NG7 2RD, UK
| | - M V Tretyakov
- School of Mathematical Sciences, University of Nottingham, University Park, Nottingham, NG7 2RD, UK.
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Ayllón N, Jiménez-Marín Á, Argüello H, Zaldívar-López S, Villar M, Aguilar C, Moreno A, De La Fuente J, Garrido JJ. Comparative Proteomics Reveals Differences in Host-Pathogen Interaction between Infectious and Commensal Relationship with Campylobacter jejuni. Front Cell Infect Microbiol 2017; 7:145. [PMID: 28491823 PMCID: PMC5405767 DOI: 10.3389/fcimb.2017.00145] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2017] [Accepted: 04/07/2017] [Indexed: 02/04/2023] Open
Abstract
Campylobacter jejuni is the leading food-borne poisoning in industrialized countries. While the bacteria causes disease in humans, it merely colonizes the gut in poultry or pigs, where seems to establish a commensal relationship. Until now, few studies have been conducted to elucidate the relationship between C. jejuni and its different hosts. In this work, a comparative proteomics approach was used to identify the underlying mechanisms involved in the divergent outcome following C. jejuni infection in human and porcine host. Human (INT-407) and porcine (IPEC-1) intestinal cell lines were infected by C. jejuni for 3 h (T3h) and 24 h (T24h). C. jejuni infection prompted an intense inflammatory response at T3h in human intestinal cells, mainly characterized by expression of proteins involved in cell spreading, cell migration and promotion of reactive oxygen species (ROS). Proteomic analysis evidenced significantly regulated biofunctions in human cells related with engulfment and endocytosis, and supported by canonical pathways associated to infection such as caveolar- and clathrin-mediated endocytosis signaling. In porcine IPEC-1 cells, inflammatory response as well as signaling pathways that control cellular functions such as cell migration, endocytosis and cell cycle progression resulted downregulated. These differences in the host response to infection were supported by the different pattern of adhesion and invasion proteins expressed by C. jejuni in human and porcine cells. No marked differences in expression of virulence factors involved in adaptive response and iron acquisition functions were observed. Therefore, the results of this study suggest that both host and pathogen factors are responsible for commensal or infectious character of C. jejuni in different hosts.
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Affiliation(s)
- Nieves Ayllón
- SaBio, Instituto de Investigación en Recursos Cinegéticos (CSIC-UCLM-JCCM)Ciudad Real, Spain
| | - Ángeles Jiménez-Marín
- Grupo de Genómica y Mejora Animal, Departamento de Genética, Facultad de Veterinaria, Universidad de CórdobaCórdoba, Spain
| | - Héctor Argüello
- Grupo de Genómica y Mejora Animal, Departamento de Genética, Facultad de Veterinaria, Universidad de CórdobaCórdoba, Spain
| | - Sara Zaldívar-López
- Grupo de Genómica y Mejora Animal, Departamento de Genética, Facultad de Veterinaria, Universidad de CórdobaCórdoba, Spain
| | - Margarita Villar
- SaBio, Instituto de Investigación en Recursos Cinegéticos (CSIC-UCLM-JCCM)Ciudad Real, Spain
| | - Carmen Aguilar
- Grupo de Genómica y Mejora Animal, Departamento de Genética, Facultad de Veterinaria, Universidad de CórdobaCórdoba, Spain
| | - Angela Moreno
- Grupo de Genómica y Mejora Animal, Departamento de Genética, Facultad de Veterinaria, Universidad de CórdobaCórdoba, Spain
| | - José De La Fuente
- SaBio, Instituto de Investigación en Recursos Cinegéticos (CSIC-UCLM-JCCM)Ciudad Real, Spain
- Department of Veterinary Pathobiology, Center for Veterinary Health Sciences, Oklahoma State UniversityStillwater, OK, USA
| | - Juan J. Garrido
- Grupo de Genómica y Mejora Animal, Departamento de Genética, Facultad de Veterinaria, Universidad de CórdobaCórdoba, Spain
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