Please use this identifier to cite or link to this item: https://repositorio.ufu.br/handle/123456789/41985
ORCID:  http://orcid.org/0000-0002-7927-7170
Document type: Tese
Access type: Acesso Embargado
Embargo Date: 2026-06-05
Title: Enhancing the control of Campylobacter jejuni in a theragnostic approach: FTIR-ATR combined with artificial intelligence, binding-peptides, and the use of chicken embryos as an in vivo model
Alternate title (s): Enhancing the control of Campylobacter jejuni in a theragnostic approach: FTIR-ATR combined with artificial intelligence, binding-peptides, and the use of chicken embryos as an in vivo model
Author: Braga, Paula Fernanda de Sousa
First Advisor: Fonseca, Belchiolina Beatriz
First member of the Committee: Jaramillo, Heriberto Fernández
Second member of the Committee: Barros, Mercia Rodrigues
Third member of the Committee: Rezende, Marcelo Sebastião
Fourth member of the Committee: Rossi, Daise Aparecida
Summary: Due to the importance to Campylobacter spp. to human health and the high prevalence of C. jejuni (CJ) in chickens, this study aimed to seek alternatives to improve the control of CJ through a theragnostic approach, using the chicken embryo as an important pre-clinical model. The work comprises four chapters regarding Campylobacter jejuni in poultry. The first chapter provides a literature review of Campylobacter spp., highlighting its significance and occurrence worldwide, the pathogenicity of Campylobacter in humans and chickens, prevention, and therapy-based Campylobacter control, as well as its diagnostic. Also, this chapter describes pathogens’ identification by machine learning techniques and phage display technology. The second chapter aimed to evaluate the virulence and infection of strains of CJ isolated from chicken and standard strain isolated from humans to better understand the pathogen-host relationship of CJ and chicken embryo (CE). We also evaluated embryo mortality, weight, gross and microscopic lesions, multiplication of the bacteria in the embryo, macrophage and lymphocyte counting by flow cytometry analysis, cytokine analysis by ELISA, and analysis of histopathological lesions. At low doses, CJ generated lesions in CE, and some strains stimulated the immune system, but the response was strain-dependent, reinforcing the importance of studying the virulence, infection, and immune response of several strains of C jejuni and the CE model as of great utility. Chapter three discusses a quick, practical, and reliable new technique to identify CJ - the ATR-FTIR spectroscopy associated with artificial intelligence to detect Campylobacter jejuni. This technique was a useful tool to identify CJ in real time, with a specificity of 100% using the Random Forest model. The fourth chapter describes a promising alternative for Campylobacter jejuni control through theragnostic approach, using Phage Display-Derived peptides. Besides selecting peptides using the phage display technique, we also performed phages sequencing and the molecular docking to reach the best peptides, which were tested in vitro, in an inhibitory assay and in vivo, using CE as experimental models. We proved that the peptide is efficient for diagnosis approaches, which is interesting because they can be more specific (since they recognize a specific epitope) and safer, once it is not necessary to handle the pathogen and they may be a potential to inhibit CJ. This thesis brings new potential alternatives to study and control CJ in a theragnostic approach.
Abstract: Due to the importance to Campylobacter spp. to human health and the high prevalence of C. jejuni (CJ) in chickens, this study aimed to seek alternatives to improve the control of CJ through a theragnostic approach, using the chicken embryo as an important pre-clinical model. The work comprises four chapters regarding Campylobacter jejuni in poultry. The first chapter provides a literature review of Campylobacter spp., highlighting its significance and occurrence worldwide, the pathogenicity of Campylobacter in humans and chickens, prevention, and therapy-based Campylobacter control, as well as its diagnostic. Also, this chapter describes pathogens’ identification by machine learning techniques and phage display technology. The second chapter aimed to evaluate the virulence and infection of strains of CJ isolated from chicken and standard strain isolated from humans to better understand the pathogen-host relationship of CJ and chicken embryo (CE). We also evaluated embryo mortality, weight, gross and microscopic lesions, multiplication of the bacteria in the embryo, macrophage and lymphocyte counting by flow cytometry analysis, cytokine analysis by ELISA, and analysis of histopathological lesions. At low doses, CJ generated lesions in CE, and some strains stimulated the immune system, but the response was strain-dependent, reinforcing the importance of studying the virulence, infection, and immune response of several strains of C jejuni and the CE model as of great utility. Chapter three discusses a quick, practical, and reliable new technique to identify CJ - the ATR-FTIR spectroscopy associated with artificial intelligence to detect Campylobacter jejuni. This technique was a useful tool to identify CJ in real time, with a specificity of 100% using the Random Forest model. The fourth chapter describes a promising alternative for Campylobacter jejuni control through theragnostic approach, using Phage Display-Derived peptides. Besides selecting peptides using the phage display technique, we also performed phages sequencing and the molecular docking to reach the best peptides, which were tested in vitro, in an inhibitory assay and in vivo, using CE as experimental models. We proved that the peptide is efficient for diagnosis approaches, which is interesting because they can be more specific (since they recognize a specific epitope) and safer, once it is not necessary to handle the pathogen and they may be a potential to inhibit CJ. This thesis brings new potential alternatives to study and control CJ in a theragnostic approach.
Keywords: doenças alimentares
foodborne diseases
diagnóstico
diagnosis
machine learning
machine learning
patogenicidade
pathogenicity
Area (s) of CNPq: CNPQ::CIENCIAS AGRARIAS::MEDICINA VETERINARIA::MEDICINA VETERINARIA PREVENTIVA::EPIDEMIOLOGIA ANIMAL
Subject: Veterinária
Epidemiologia veterinária
Aves - Doenças
Zoonoses
Saúde pública veterinária
Language: eng
Country: Brasil
Publisher: Universidade Federal de Uberlândia
Program: Programa de Pós-graduação em Ciências Veterinárias
Quote: BRAGA, Paula Fernanda de Sousa. Enhancing the control of Campylobacter jejuni in a theragnostic approach: FTIR-ATR combined with artificial intelligence, binding-peptides, and the use of chicken embryos as an in vivo model. 2024. 105 f. Tese (Doutorado em Ciências Veterinárias) - Universidade Federal de Uberlândia, Uberlândia. 2024. DOI http://doi.org/10.14393/ufu.te.2024.420.
Document identifier: http://doi.org/10.14393/ufu.te.2024.420
URI: https://repositorio.ufu.br/handle/123456789/41985
Date of defense: 5-Jun-2024
Sustainable Development Goals SDGs: ODS::ODS 3. Saúde e bem-estar - Assegurar uma vida saudável e promover o bem-estar para todos, em todas as idades.
ODS::ODS 9. Indústria, Inovação e infraestrutura - Construir infraestrutura resiliente, promover a industrialização inclusiva e sustentável, e fomentar a inovação.
ODS::ODS 12. Consumo e produção responsáveis - Assegurar padrões de produção e de consumo sustentáveis.
Appears in Collections:TESE - Ciências Veterinárias

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