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Wang J, Vaddu S, Bhumanapalli S, Mishra A, Applegate T, Singh M, Thippareddi H. A systematic review and meta-analysis of the sources of Campylobacter in poultry production (preharvest) and their relative contributions to the microbial risk of poultry meat. Poult Sci 2023; 102:102905. [PMID: 37516002 PMCID: PMC10405099 DOI: 10.1016/j.psj.2023.102905] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2023] [Revised: 06/18/2023] [Accepted: 06/24/2023] [Indexed: 07/31/2023] Open
Abstract
A systematic review and meta-analysis were conducted to idetnify the relative contributions of the sources of Campylobacter in poultry live production to Campylobacter prevalence of broiler meat. The keywords of Campylobacter, prevalence, live production, and broiler were used in Google Scholar to address the research interest. A total of 16,800 citations were identified, and 63 relevant citations were included in the meta-analysis after applying predetermined inclusion and exclusion criteria. A generalized linear mixed model approach combined with logit transformation was used in the current meta-analysis to stabilize the variance. The analysis revealed that Campylobacter is ubiquitous in the poultry house exterior environment including surroundings, wildlife, domestic animals, and farm vehicle, with a predicted prevalence of 14%. The recovery of Campylobacter in the interior environment of the poultry house is far less abundant than in the exterior, with a prevalence of 2%, including litter, water, insects, mice, feed, and air. A lack of evidence was observed for vertical transmission due to the day-old chicks being free of Campylobacter from 4 studies identified. Live birds are the predominant carrier of Campylobacter, with a predicted prevalence of 41%. Transportation equipment used for live haul had an overall prevalence of 39%, with vehicles showing a predicted prevalence of 44% and crates with a predicted prevalence of 22%. The results of this meta-analysis highlight the need to implement effective biosecurity measures to minimize the risk of Campylobacter in poultry meat, as human activity appears to be the primary factor for Campylobacter introduction.
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Affiliation(s)
- J Wang
- Department of Poultry Science, University of Georgia, Athens, GA 30602, USA
| | - S Vaddu
- Department of Poultry Science, University of Georgia, Athens, GA 30602, USA
| | - S Bhumanapalli
- Department of Poultry Science, University of Georgia, Athens, GA 30602, USA
| | - A Mishra
- Department of Food Science and Technology, University of Georgia, Athens, GA 30602, USA
| | - T Applegate
- Department of Poultry Science, University of Georgia, Athens, GA 30602, USA
| | - M Singh
- Department of Food Science and Technology, University of Georgia, Athens, GA 30602, USA
| | - H Thippareddi
- Department of Poultry Science, University of Georgia, Athens, GA 30602, USA.
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Dogan OB, Aditya A, Ortuzar J, Clarke J, Wang B. A systematic review and meta-analysis of the efficacy of processing stages and interventions for controlling Campylobacter contamination during broiler chicken processing. Compr Rev Food Sci Food Saf 2021; 21:227-271. [PMID: 34730272 DOI: 10.1111/1541-4337.12860] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2021] [Revised: 09/16/2021] [Accepted: 09/17/2021] [Indexed: 12/13/2022]
Abstract
Systematic review and meta-analysis were conducted to quantify the effects of processing stages and interventions on the prevalence and concentration of Campylobacter on broiler carcasses. To comprehensively capture relevant evidence, six databases were searched using the keywords "Campylobacter" and "broiler chicken." The literature search yielded 10,450 unique citations, and after applying predetermined inclusion and exclusion criteria, 72 and 53 relevant citations were included in meta-analyses for processing stages and interventions, respectively. As the two primary outcomes, log reduction and prevalence changes were estimated for each stage or intervention using a random-effects meta-analysis approach whenever possible. The outcome-level quality assessment was conducted following the Grading of Recommendations Assessment, Development, and Evaluation (GRADE) approach. The analysis revealed that scalding and chilling majorly reduces the prevalence and concentration of Campylobacter. Immersion chilling reduces the concentration regardless of chemical additives, but its effect on prevalence is not conclusive. The effects of carcass washing applications remain uncertain due to the inconsistency and imprecision of both outcomes. Defeathering and evisceration were identified as stages that can increase both prevalence and concentration. Both chemical and physical processing interventions provide limited efficacy in concentration and prevalence reduction. Major limitations of the review were inconsistency and imprecision at the outcome level and reporting issues and data gaps at the study level. The results are expected to inform quantitative microbial risk assessment model development and support evidence-based decision-making.
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Affiliation(s)
- Onay B Dogan
- Department of Food Science and Technology, University of Nebraska-Lincoln, Lincoln, Nebraska, USA
| | - Anand Aditya
- Department of Food Science and Technology, University of Nebraska-Lincoln, Lincoln, Nebraska, USA
| | - Juan Ortuzar
- Department of Food Science and Technology, University of Nebraska-Lincoln, Lincoln, Nebraska, USA
| | - Jennifer Clarke
- Department of Food Science and Technology, University of Nebraska-Lincoln, Lincoln, Nebraska, USA.,Department of Statistics, University of Nebraska-Lincoln, Lincoln, Nebraska, USA
| | - Bing Wang
- Department of Food Science and Technology, University of Nebraska-Lincoln, Lincoln, Nebraska, USA
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Hao S, Kassahun A, Bouzembrak Y, Marvin H. Identification of potential vulnerable points and paths of contamination in the Dutch broiler meat trade network. PLoS One 2020; 15:e0233376. [PMID: 32413072 PMCID: PMC7228058 DOI: 10.1371/journal.pone.0233376] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2020] [Accepted: 05/04/2020] [Indexed: 11/19/2022] Open
Abstract
The poultry meat supply chain is complex and therefore vulnerable to many potential contaminations that may occur. To ensure a safe product for the consumer, an efficient traceability system is required that enables a quick and efficient identification of the potential sources of contamination and proper implementation of mitigation actions. In this study, we explored the use of graph theory to construct a food supply chain network for the broiler meat supply chain in the Netherlands and tested it as a traceability system. To build the graph, we first identified the main actors in the supply chain such as broiler breeder farms, broiler farms, slaughterhouses, processors, and retailers. The capacity data of each supply chain actor, represented by its production or trade volumes, were gathered from various sources. The trade relationships between the supply chain actors were collected and the missing relationships were estimated using the gravity model. Once the network was modeled, we computed degree centrality and betweenness centrality to identify critical nodes in the network. In addition, we computed trade density to get insight into the complexity of sub-networks. We identified the critical nodes at each stage of the Dutch broiler meat supply chain and verified our results with a domain expert of the Dutch poultry industry and literature. The results showed that processors with own slaughtering facility were the most critical points in the broiler meat supply chain.
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Affiliation(s)
- Shuai Hao
- Food Quality and Design, Wageningen University, Wageningen, The Netherlands
| | - Ayalew Kassahun
- Information Technology, Wageningen University, Wageningen, The Netherlands
- * E-mail:
| | | | - Hans Marvin
- Wageningen Food Safety Research, Wageningen, The Netherlands
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Schroeder MW, Eifert JD, Ponder MA, Schmale DG. Association of Campylobacter spp. levels between chicken grow-out environmental samples and processed carcasses. Poult Sci 2014; 93:734-41. [DOI: 10.3382/ps.2013-03646] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022] Open
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Hue O, Le Bouquin S, Laisney MJ, Allain V, Lalande F, Petetin I, Rouxel S, Quesne S, Gloaguen PY, Picherot M, Santolini J, Salvat G, Bougeard S, Chemaly M. Prevalence of and risk factors for Campylobacter spp. contamination of broiler chicken carcasses at the slaughterhouse. Food Microbiol 2010; 27:992-9. [DOI: 10.1016/j.fm.2010.06.004] [Citation(s) in RCA: 87] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2010] [Revised: 06/11/2010] [Accepted: 06/11/2010] [Indexed: 11/26/2022]
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Hue O, Allain V, Laisney MJ, Le Bouquin S, Lalande F, Petetin I, Rouxel S, Quesne S, Gloaguen PY, Picherot M, Santolini J, Bougeard S, Salvat G, Chemaly M. Campylobacter contamination of broiler caeca and carcasses at the slaughterhouse and correlation with Salmonella contamination. Food Microbiol 2010; 28:862-8. [PMID: 21569927 DOI: 10.1016/j.fm.2010.11.003] [Citation(s) in RCA: 59] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2010] [Revised: 10/22/2010] [Accepted: 11/03/2010] [Indexed: 11/19/2022]
Abstract
In order to estimate the prevalence of Campylobacter spp. and Salmonella spp. on broiler chicken carcasses and the prevalence of Campylobacter spp. in caeca, 58 French slaughterhouses were investigated in 2008. Enumeration of Campylobacter spp. was also performed in order to study the relation between caeca and carcass contamination. A pool of 10 caeca and one carcass were collected from 425 different batches over a 12-month period in 2008. Salmonella was isolated on 32 carcasses leading to a prevalence of 7.5% ([5.0-10.0](95%CI)). The prevalence of Campylobacter was 77.2% ([73.2-81.2](95%CI)) in caeca and 87.5% ([84.4-90.7](95%CI)) on carcasses. No significant correlation was found between Campylobacter and Salmonella. Positive values of Campylobacter were normally distributed and the average level was 8.05 log(10) cfu/g ([7.94-8.16](95%CI)) in caeca and 2.39 cfu/g ([2.30-2.48](95%CI)) on carcasses. A positive correlation (r = 0.59) was found between the mean of Campylobacter in caeca and on carcasses (p < 0.001). Thus, carcasses from batches with Campylobacter-positive caeca had significantly (p < 0.001) higher numbers of Campylobacter per gram than batches with negative caeca. These results show that Campylobacter can be present in both matrices and reduction in caeca could be a possible way to reduce the amount of bacteria on carcasses. Of the 2504 identifications performed, 3 species of Campylobacter (Campylobacter jejuni, Campylobacter coli and Campylobacter lari) were identified. The main species recovered were C. jejuni and C. coli, which were isolated in 55.3% and 44.5% of positive samples, respectively. These two species were equally represented in caeca but C. jejuni was the most frequently isolated on carcasses with 57.1% and 42.5% of positive carcasses for C. jejuni and C. coli, respectively. This study underlines that target a reduction of Campylobacter on final products requires a decrease of contamination in caeca.
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Affiliation(s)
- Olivier Hue
- Anses, French Agency for Food, Environmental and Occupational Health Safety, BP53, 22440 Ploufragan, France
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Guerin M, Sir C, Sargeant J, Waddell L, O’Connor A, Wills R, Bailey R, Byrd J. The change in prevalence of Campylobacter on chicken carcasses during processing: A systematic review. Poult Sci 2010; 89:1070-84. [DOI: 10.3382/ps.2009-00213] [Citation(s) in RCA: 71] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
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Colles FM, McCarthy ND, Sheppard SK, Layton R, Maiden MCJ. Comparison of Campylobacter populations isolated from a free-range broiler flock before and after slaughter. Int J Food Microbiol 2010; 137:259-64. [PMID: 20071049 DOI: 10.1016/j.ijfoodmicro.2009.12.021] [Citation(s) in RCA: 24] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2009] [Revised: 12/14/2009] [Accepted: 12/17/2009] [Indexed: 10/20/2022]
Abstract
Relatively little is known about the Campylobacter genotypes colonizing extensively reared broiler flocks and their survival through the slaughter process, despite the increasing demand for free-range and organic products by the consumer. Campylobacter isolates from a free-range boiler flock, sampled before and after slaughter, were genotyped by MLST (multilocus sequence typing) and sequence analysis of the flaA short variable region (SVR). The Campylobacter genotypes isolated before and after slaughter were diverse, with up to five sequence types (STs) (seven-locus allelic profiles resulting from MLST) identified per live bird, up to eight STs identified per carcass and 31 STs identified in all. The majority (72.0%) of isolates sampled from carcasses post-slaughter were indistinguishable from those isolated from the live flock before slaughter by ST and flaA SVR type, however, sampling 'on-farm' failed to capture all of the diversity seen post-slaughter. There were statistically significant increases in the genetic diversity of Campylobacter (p=0.005) and the proportion of C. coli (p=0.002), with some evidence for differential survival of genotypes contaminating the end product. C. coli genotypes isolated after slaughter were more similar to those from free-range and organic meat products sampled nationally, than from the live flock sampled previously. This study demonstrated the utility of MLST in detecting genetic diversity before and after the slaughter process.
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Affiliation(s)
- Frances M Colles
- Department of Zoology, University of Oxford, South Parks Road, Oxford, OX1 3SY, UK.
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Cokal Y, Caner V, Sen A, Cetin C, Karagenc N. Campylobacterspp. and their Antimicrobial Resistance Patterns in Poultry: An Epidemiological Survey Study in Turkey. Zoonoses Public Health 2009; 56:105-10. [DOI: 10.1111/j.1863-2378.2008.01155.x] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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van Asselt E, Jacobs-Reitsma W, van Brakel R, van der Voet H, van der Fels-Klerx H. Campylobacter Prevalence in the Broiler Supply Chain in the Netherlands. Poult Sci 2008; 87:2166-72. [DOI: 10.3382/ps.2007-00520] [Citation(s) in RCA: 11] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
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