Submitted by Luciana Ferreira (lucgeral@gmail.com) on 2014-12-22T14:31:16Z No. of bitstreams: 1 Dissertação - Maria Juíva Marques de Faria - 2014.pdf: 3781718 bytes, checksum: 5a98e4c3d48dde6e80b58427a1a73012 (MD5) / Approved for entry into archive by Luciana Ferreira (lucgeral@gmail.com) on 2015-01-26T13:13:18Z (GMT) No. of bitstreams: 1 Dissertação - Maria Juíva Marques de Faria - 2014.pdf: 3781718 bytes, checksum: 5a98e4c3d48dde6e80b58427a1a73012 (MD5) / Made available in DSpace on 2015-01-26T13:13:18Z (GMT). No. of bitstreams: 1 Dissertação - Maria Juíva Marques de Faria - 2014.pdf: 3781718 bytes, checksum: 5a98e4c3d48dde6e80b58427a1a73012 (MD5) Previous issue date: 2014-05-07 / Bovine mastitis is an inflammatory/infectious process of the mammary gland, its etiology is complex and multivariate. The most common mastitis has bacterial origin. Because of the high cost to treat this disease, and the bacterial resistance to antibiotics, beyond the losses due to the milk discard or the presence of drug residues in milk, studies are necessary to find out alternative methods to circumvent these problematic. The medicinal plants with antimicrobial activity have been making room in veterinary medicine with the objective to reduce the impact and the use of drugs indiscriminately, as well as maintain the integrity of the animal and control the dissemination of resistant bacterial lineage. Therefore, the aim of this work was characterize the oleoresin Copaifera spp., verify the antimicrobial activity in vitro of oleoresin and essential oil of Copaifera spp. in combating against aerobic and facultative isolated bacteria from cows’ milk with subclinical grade III mastitis diagnostic and evaluate preliminarily, in vivo, phytotherapic formulation composed of Copaifera spp. The tests for characterization of the oleoresin, confirmed its authenticity and quality, considered appropriate for use. The analyzes performed by gas chromatography coupled to mass spectrometry (GC/MS) and electrospray ionization Fourier transformed íonic cyclotron resonance mass spectrometry (ESI FT-ICR MS) identified sesquiterpenes and diterpenes present in the essential oil and oleoresin of Copaifera spp., respectively. The technique of High Performance Liquid Chromatography (HPLC) for sesquiterpenes, especially for β-caryophyllene, can be used in quality control of essential oil and oleoresin of Copaifera spp., as well as in phytotherapic formulation using oleoresin of Copaifera spp. The oleoresin showed better antimicrobial activity than the essential oil of Copaifera spp. (ρ<0,0001) in combating the 55 isolated bacteria. The antibiogram test of the three phytotherapic formulations demonstrated that the oleoresin had antimicrobial activity against the isolated microorganisms. The preliminary evaluation, in vivo, of a phytotherapic formulation containing 20% oleoresin of copaiba was neither effective nor safe, because it intensified the inflammatory process, requiring further tests, such as cytotoxicity and irritability of the raw material plant and of the vehicle used. Key words: Bovine Mastitis. Oleoresin. Essential Oil. Copaifera spp. Minimum Inhibitory Concentration. ESI FT-ICR MS. / Mastite bovina é um processo inflamatório/infeccioso da glândula mamária, de etiologia complexa e multivariada, sendo a de origem bacteriana a mais frequente. Devido aos elevados custos dos tratamentos dessa enfermidade, resistência bacteriana aos antibióticos, além dos prejuízos inerentes ao descarte do leite ou à presença de resíduos de medicamentos no mesmo, faz-se necessário estudos que busquem métodos alternativos para contornar essa problemática. As plantas medicinais com potencial antimicrobiano vêm ganhando espaço na medicina veterinária com o objetivo de reduzir o impacto e o uso de medicamentos de forma indiscriminada, bem como manter a integridade do animal e controlar a disseminação de linhagens bacterianas resistentes. Diante disso, o objetivo desse trabalho foi caracterizar a oleorresina de Copaifera spp., verificar atividade antimicrobiana in vitro da oleorresina e do óleo essencial de Copaifera spp. frente às bactérias aeróbias e facultativas isoladas de leite de vacas diagnosticadas com mastite subclínica grau III e avaliar preliminarmente, in vivo, formulação fitoterápica à base de Copaifera spp. Os testes de caracterização da oleorresina de Copaifera spp. demonstraram sua autenticidade e qualidade, a qual foi considerada adequada para o uso. As análises realizadas por cromatografia gasosa acoplada à espectrometria de massas (CG/EM) e por espectrometria de massas com ionização por electrospray de ressonância ciclotrônica de íons por transformada de Fourier (ESI FT-ICR MS) identificaram os sesquiterpenos e diterpenos presentes no óleo essencial e na oleorresina de Copaifera spp., respectivamente. A técnica Cromatografia Líquida de Alta Eficiência (CLAE) para sesquiterpenos, em especial para β-cariofileno, pode ser utilizada no controle de qualidade de oleorresina e óleo essencial de Copaifera spp., bem como em formulação fitoterápica utilizando oleorresina de Copaifera spp. como matéria-prima vegetal. A oleorresina apresentou melhor atividade antimicrobiana do que o óleo essencial de Copaifera spp. (ρ<0,0001) frente às 55 bactérias isoladas. O teste de antibiograma das três formulações fitoterápicas demonstrou que a oleorresina de copaíba reproduziu a sua atividade antimicrobiana frente aos micro-organismos isolados. A avaliação preliminar, in vivo, de uma formulação fitoterápica contendo 20% oleorresina de copaíba não foi eficaz e nem segura, pois intensificou o processo inflamatório, havendo necessidade de testes futuros, como de citotoxicidade e de irritabilidade dessa matéria-prima vegetal e do veículo utilizado.

The present study aimed to evaluate bacterial isolates and the microbiome of dairies. The specific aims were: to characterize Staphylococcus spp. isolated from mastitic milk, to evaluate the presence of Lactococcus in mastitic milk as a potential causative agent of mastitis, to evaluate the association between microbiome and milk quality parameters, and to characterize Staphylococcus spp. isolated from production lines of Minas Frescal cheese. The detection of genes encoding virulence factors (enterotoxins (sea, seb, sec, sed, see, seg, seh, sei, selj, selk, sell, selm, seln, selo, selp, seIq, ser, ses, set, selu, selv, and selx), hemolysins (hla, hlb, hld, hlg, and hlgv), exfoliative toxins (eta, etb, and etd), Panton-Valentine leukocidin (pvl), and toxic shock syndrome toxin (tst)), genes encoding antibiotic resistance (resistance to tetracycline (tetK, tetL, and tetM), erythromycin (ermA, ermB, and ermC), methicillin (mecA and mecC), and tobramycin (ant(4\')-Ia)), molecular typing (spa, SCCmec, and agr types), and phenotyping regarding antibiotic resistance were performed in staphylococci isolates from mastitic milk, and from cheese processing plant samples. Staphylococcus aureus was identified in the majority of isolates from both origins. Several virulence factor genes were detected. The distribution of genes encoding staphylococcal enterotoxins (85.0% - 85.7% of isolates were positive for one or more enterotoxin gene) was highlighted and the gene related to H toxin was the most prevalent. Methicillin-resistant Staphylococcus aureus were identified in isolates from mastitic milk (4.1%) and cheese processing (6.0%); the genotyping and phenotyping of these isolates were described. t605 had the highest frequency in the S. aureus population studied. In mastitic milk, Lactococcus was suggested as the causative agent of an outbreak of mastitis in a dairy farm. Using next generation sequencing, the abundance of Lactococcus was observed in microbiome samples. Bacterial isolation and DNA sequencing confirmed the presence of Lactococcus lactis and Lactococcus garvieae. The microbiome of environmental samples and bulk tank milk from the dairy farm showed the Lactococcus genus among the most common bacterial taxa, suggesting other sources of this genus. Regarding milk quality parameters, the microbiome of bulk tank milk from several dairy farms was associated with somatic cell count and bacterial count. The core microbiome was described and many genera of importance were identified. Among the associations performed between microbiome and milk quality parameters, the identification of Streptococcus in samples classified with high somatic cell count and high bacterial count was highlighted. Several bacterial taxa with relative abundance significantly higher in samples classified as high and low cell count and bacterial count were shown. Real-time polymerase chain reaction was also performed associated with bacterial diversity, bacterial taxa, and bacterial count. These findings highlight the need to control and prevent bacterial contamination in the dairy industry, from herd to consumers. / O presente estudo apresentou como objetivo avaliar isolados bacterianos e microbioma de lácteos. Os objetivos específicos foram: caracterizar Staphylococcus spp. isolados de leite de vacas com mastite, avaliar a presença de Lactococcus em leite de vacas com mastite como um potencial agente causador de mastite, avaliar a associação entre microbioma de leite de tanque e parâmetros da qualidade de leite, e caracterizar Staphylococcus spp. isolados de linhas de processamento de queijo Minas frescal. A detecção de genes codificadores de fatores de virulência (enterotoxinas (sea, seb, sec, sed, see, seg, seh, sei, selj, selk, sell, selm, seln, selo, selp, seIq, ser, ses, set, selu, selv, e selx), hemolisinas (hla, hlb, hld, hlg, e hlgv), toxinas exfoliativas (eta, etb e etd), leucocidina de Panton-Valentine (pvl), toxina da síndrome do choque tóxico (tst)), genes codificadores de resistência a antibióticos (resistência a tetraciclina (tetK, tetL e tetM), eritromicina (ermA, ermB e ermC), meticilina (mecA e mecC) e tobramicina (ant(4\')-Ia)), tipagem molecular (spa, SCCmec e agr types), e fenotipagem quanto à resistência a antibióticos foram realizadas em estafilococos isolados de leite de vacas com mastite e de amostras de planta de processamento de queijo. Staphylococcus aureus foi identificado na maioria dos isolados de ambas as origens. Diversos genes de fatores de virulência foram detectados, com destaque para a distribuição de genes codificadores de enterotoxinas estafilocócicas (85,0%-85,7% dos isolados foram positivos para um ou mais genes codificadores de enterotoxinas), sendo o gene relacionado com a toxina H o mais frequente. Staphylococcus aureus meticilina resistente foram identificados em isolados de leite de vacas com mastite (4.1%) e em processamento de queijo (6.0%); o perfil genotípico e fenotípico destes isolados foram descritos. t605 foi o mais freqüente na população de S. aureus estudada. Em leite de vacas com mastite, Lactococcus foi sugerido como o agente causador de um surto de mastite numa fazenda leiteira. Usando sequenciamento de nova geração, a abundância de Lactococcus foi observada no microbioma das amostras. O isolamento e sequenciamento de DNA confirmaram a presença de Lactococcus lactis e Lactococcus garvieae. O microbioma de amostras ambientais e de leite de tanque da fazenda mostrou o gênero Lactococcus entre os mais comuns, sugerindo outras fontes deste gênero. Contemplando parâmetros da qualidade de leite, o microbioma de leite de tanque de várias fazendas leiteiras foi relacionado com contagem de células somáticas e contagem bacteriana. O core microbiome foi descrito e muitos gêneros bacterianos de importância foram identificados. Dentre as análises realizadas associando microbioma com parâmetros da qualidade de leite, foi destacada a identificação de Streptococcus em amostras classificadas com alta contagem de células somáticas e alta contagem bacteriana. Diversos táxons bacterianos com abundância relativa significativamente maior em amostras classificadas com alta e baixa contagem de células somáticas e contagem bacteriana foram mostrados. Reação em cadeia da polimerase em tempo real também foi realizada e associada com diversidade bacteriana, táxons bacterianos e contagem bacteriana. Estes levantamentos confirmam a necessidade de controlar e prevenir a contaminação bacteriana na indústria de lácteos, do rebanho leiteiro até os consumidores.

Die Protothekenmastitis des Rindes ist eine therapieresistente, weltweit vorkommende Infektionskrankheit. Das ätiologische Agens, die farblose Alge Prototheca (P.) zopfii, kommt ubiquitär in feuchten Habitaten vor und verursacht fakultativ akute bis chronische Entzündungen des Rindereuters. Es gibt Hinweise auf das Vorkommen eines speziellen, Mastitis-assoziierten Biotyps von P. zopfii, der sogenannten Variante II. Durch die oft zu beobachtende endemische Ausbreitung in Milchviehbeständen sowie durch die nachhaltige Therapieresistenz, welche oft zum wirtschaftlichen Totalverlust der betroffenen Milchkühe führt, stellen Protothekenmastitiden beim Rind ein großes ökonomisches Problem für den betroffenen Betrieb dar. Da bisher nur sehr beschränkte Erkenntnisse zur lokalen und systemischen Immunantwort sowie zur Erregerausscheidung im Verlaufe der Protothekenmastitis des Rindes vorlagen, wurden die verschiedenen klinischen Stadien dieser Infektion serologisch, kulturell sowie durch Bestimmung der Zahl der somatischen Zellen in der Milch charakterisiert. Zu diesem Zwecke wurden drei verschiedene ELISA-Systeme entwickelt, die anschließend auch auf ihren möglichen Einsatz bei der Diagnostik der Protothekenmastitis hin untersucht wurden. Dies geschah in einem hochgradig an Protothekenmastitis erkrankten Milchviehbestand. Darüber hinaus wurden verschiedene Isolate von P. zopfii auxanographisch, biochemisch, serologisch und genetisch untersucht, um eine Differenzierung innerhalb der Algenspezies P. zopfii vornehmen zu können. Anhand der auxanographischen, biochemischen, serologischen und genetischen Untersuchungen war eine eindeutige Differenzierung von drei verschiedenen Bio-, Sero- und Genotypen innerhalb der Algenspezies P. zopfii möglich. Alle untersuchten Mastitisisolate konnten eindeutig der Variante II von P. zopfii zugeordnet werden, womit dieser Variante eine besondere epidemiologische Bedeutung bei der Entstehung der Protothekenmastitis des Rindes zu zukommen scheint. Die Untersuchungen dieser Arbeit zeigen, dass akut infizierte Tiere sowohl die höchsten Antikörperaktivitäten an IgG im Blutserum sowie an IgA und IgG1 im Milchserum als auch die höchsten Gehalte an somatischen Zellen in der Milch aufweisen. Chronisch infizierte Milchkühe weisen zum Teil sehr hohe Antikörperaktivitäten in der Milch auf und unterschieden sich nicht signifikant von akut infizierten Tieren. Demgegenüber weisen diese chronisch infizierten Tiere signifikant höhere IgG-Aktivitäten im Blutserum sowie IgA- und IgG1-Aktivitäten in der Milch auf als nicht infizierte Tiere. Somit ist eine eindeutige Differenzierung zwischen infizierten und nichtinfizierten Kühen möglich. Die ELISAs zum Nachweis von spezifischem IgA und IgG1 im Milchserum erwiesen sich als besonders geeignet, um infizierte Kühe zu identifizieren. Beide serologischen Testsysteme wiesen Sensitivitäten von 96,3 % für IgA sowie 92,6 % für IgG1 und Spezifitäten von 94,4 % (IgA) und 96,3 % (IgG1) auf. Demgegenüber wies der ELISA zum Nachweis von spezifischem IgG im Blutserum bei einer Spezifität von 100 % nur eine Sensitivität von 81,5 % auf. Die sehr gute Reproduzierbarkeit der Tests wurde durch Intra-Assay-Variationen von 6,08 % für den Nachweis von IgA im Milchserum und 7,20 % für IgG1 sowie durch die geringe Inter-Assay-Variation von 6,32 % (IgA) und 9,74 % (IgG1) belegt. Der Einsatz dieser Testsysteme bei der Sanierung eines hochgradig mit P. zopfii infizierten Milchviehbestandes zeigte, dass die serologische Diagnostik dem bisher gebräuchlichen kulturellen Erregernachweis bei der Identifikation intermittierender Erregerausscheider überlegen ist. Es wurde deutlich, dass 70,5% der infizierten Tiere die Erreger über einen Zeitraum von 12 Monaten permanent ausschieden und mindestens weitere 4,9 %, wahrscheinlich jedoch wesentlich mehr, dieser infizierten Tiere intermittierende Erregerausscheider waren. Somit scheint der serologische Erregernachweis für die Diagnostik der Protothekenmastitis des Rindes besser geeignet zu sein als die kulturelle Diagnostik. Dabei wurde die höchste Sensitivität durch die Kombination des Nachweises von spezifischem IgA und IgG1 im Milchserum erzielt. / Protothecosis is a severe, often endemic mastitis in cattle caused by colorless algae of the genus Prototheca. Only little and insufficient knowledge about the organism itself, and the host immune response to this infection existed. Therefore, the aim of this thesis was to characterize the local and systemic immune response and the possible elimination or persistence of the pathogen in the host. To gain more information on the specific immune response, different clinical stages of infection were characterized serologically, culturally, and by determination of the number of the somatic cells in milk. Three different ELISA systems were developed, which were also examined for their diagnostic application potential. For the investigations, a dairy herd highly infected with Prototheca zopfii and severe clinical manifestation of protothecal mastitis was used. The ELISA was evaluated using serum and whey from animals with different clinical stages of infection. As antibody isotypes, IgG in serum, and IgA and IgG1 in whey were used. In addition, different isolates of P. zopfii were biochemically, serologically, and genetically examined in order to allow a differentiation of individual isolates within the species P. zopfii. The biochemical, serological and genetic investigations allowed a clear differentiation of the three known Variants of P. zopfii. All examined mastitis isolates could be assigned to variant II of P. zopfii. Therefore, it can be concluded that this variant has a particular epidemiological significance in the etiology of bovine protothecal mastitis. The serological investigations showed high antibody activities during acute and chronic stage of infection. The antibody activity was low in chronically infected, but presently cultural negative animals and also in uninfected animals. A strong correlation was observed between whey IgA and whey IgG1 antibody activity and the count of somatic cells in milk. Whereas, only a weak correlation exists to the number of algae cells excreted with the milk. A sensitivity of 96 % and a specificity of 94 % were calculated for the ELISA based on IgA levels. The ELISA for detection of specific IgG1 in whey shows a sensitivity of 92,6 % and a specificity of 96,3 %. Intra-assay and interassay variations were calculated to be at 6.08 % and 6.32 %, respectively. Based on these data, these ELISAs are suitable for discrimination between infected and uninfected animals, and might therefore be used for the screening of affected herds. When used in the remediation of a high-grade infected dairy herd the serological showed clear advantages in the identification of intermittent shedders. By culturing of Prototheca from milk, it was shown that 70.5% of the infected animals were permanent shedders, whereas 4.9 % were intermittent shedders. Since intermittent shedders could be clearly identified serologically, but might not be recognized by culturing, it can be assumed that serological diagnostics is more suitable for the identification of inapparently infected, intermittent shedders.

Bovine mastitis adversely affects the dairy industry around the world. This disease is caused by a diverse range of bacteria, broadly categorised as minor and major pathogens. In-line tools that help identify these bacterial groupings in the early stages of the disease are advantageous as timely decisions could be made before the cow develops any clinical symptoms. The first objective of this research was to identify the most informative milk parameters for the detection of minor and major bacterial pathogens. The second objective of this research was to evaluate the potential of supervised and unsupervised neural network learning paradigms for the detection of minor infected and major infected quarters in the early stages of the disease. The third objective was to evaluate the effects of different proportions of infected to non-infected cases in the training data set on the correct classification rate of the supervised neural network models as there are proportionately more non-infected cases in a herd than infected cases. A database developed at Lincoln University was used to achieve the research objectives. Starting at calving, quarter milk samples were collected weekly from 112 cows for a period of fourteen weeks, resulting in 4852 samples with complete records for somatic cell count (SCC), electrical resistance, protein percentage, fat percentage, and bacteriological status. To account for the effects of the stage of lactation on milk parameters with respect to days in milking, data was divided into three days in milk ranges. In addition, cow variation was accounted for by the sire family from which the cow originated and the lactation number of each cow. Data was pre-processed before the application of advanced analytical techniques. Somatic cell score (SCS) and electrical resistance index were derived from somatic cell count and electrical resistance, respectively. After pre-processing, the data was divided into training and validation sets for the unsupervised neural network modelling experiment and, for the supervised neural network modelling experiments, the data was divided into training, calibration and validation sets. Prior to any modelling experiments, the data was analysed using statistical and multivariate visualisation techniques. Correlations (p<0.05) were found between the infection status of a quarter and its somatic cell score (SCS, 0.86), electrical resistance index (ERI, -0.59) and protein percentage (PP, 0.33). The multivariate parallel visualisation analysis validated the correlation analysis. Due to significant multicolinearity [Correlations: SCS and ERI (-0.65: p<0.05); SCS and PP (0.32: p<0.05); ERI and PP (-0.35: p<0.05)], the original variables were decorrelated using principle component analysis. SCS and ERI were found to be the most informative variables for discriminating between non-infected, minor infected and major infected cases. Unsupervised neural network (USNN) model was trained using the training data set which was extracted from the database, containing approximately equal number of randomly selected records for each bacteriological status [not infected (NI), infected with a major pathogen (MJI) and infected with a minor pathogen (MNI)]. The USNN model was validated with the remaining data using the four principle components, days in milk (DIM), lactation number (LN), sire number, and bacteriological status (BS). The specificity of the USNN model in correctly identifying non infected cases was 97%. Sensitivities for correctly detecting minor and major infections were 89% and 80%, respectively. The supervised neural network (SNN) models were trained, calibrated and validated with several sets of training, calibration and validation data, which were randomly extracted from the database in such a way that each set has a different proportion of infected to non-infected cases ranging from 1:1 to 1:10. The overall accuracy of these models based on validation data sets gradually increased with increase in the number of non-infected cases in the data sets (80% for the 1:1, 84% for 1:2, 86% for 1:4 and 93% for 1:10). Specificities of the best models for correctly recognising non-infected cases for the four data sets were 82% for 1:1, 91% for 1:2, 94% for 1:4 and 98% for 1:10. Sensitivities for correctly recognising minor infected cases for the four data sets were 86% for 1:1, 76% for 1:2, 71% for 1:4 and 44% for 1:10. Sensitivities for correctly recognising major infected cases for the four data sets were 20% for 1:1, 20% for 1:2, 30% for 1:4 and 40% for 1:10. Overall, sensitivity for the minor infected cases decreased while that of major infected cases increased with increase in the number non-infected cases in the training data set. Due to the very low prevalence of MJI category in this particular herd, results for this category may be inconclusive. This research suggests that somatic cell score and electrical resistance index of milk were the most effective variables for detecting the infection status of a quarter followed by milk protein and fat percentage. The neural network models were able to differentiate milk containing minor and major bacterial pathogens based on milk parameters associated with mastitis. It is concluded that the neural network models can be developed and incorporated into milking machines to provide an efficient and effective method for the diagnosis of mastitis.

No description available.

Made available in DSpace on 2014-07-29T15:13:40Z (GMT). No. of bitstreams: 1 dissertacaoMarcoAntonio.PDF: 791526 bytes, checksum: 7a8a829a082433a7f23c3880ef18467d (MD5) Previous issue date: 2008-12-19 / The objective of the research were evaluate cooled raw milk gotten in dairy properties of the Southwest Goiano in the periods rainy and dry of 2008. The samples were collected of individual producers where the storage in bulk tanks were carried for until 72 hours, with 24-hour intervals. Somatic cells count, total bacterial count and centesimal composition were carried in the Laboratório de Qualidade do Leite of the Centro de Pesquisa em Alimentos of the Escola de Veterinária of the Universidade Federal de Goiás. The microbiological analysis and titratable acidity were carried in the Laboratories of the Unidade de Agroindústria of the Instituto Federal de Educação, Ciência e Tecnologia Goiano Campus Rio Verde GO. Data were submitted to the variance analysis and the analyzed factors were: period, type of milking and storage time, in entirely casualized delineation and factorial arrangement 2 x 2 x 4. The comparison of period and type of milking was carried through by means of test F of the variance analysis. The storage time was analyzed by means of regression models. Software SISVAR was used for analysis. The results of the physical-chemical composition were in accordance with the legislation. The total bacterial count of cooled raw milk to the 24 hours of storage was above of the limit of the legislation. The count of psychrotrophic, psychrotrophic proteolytic and Pseudomonas spp., was bigger in the rainy period. / O objetivo da pesquisa foi avaliar o leite cru refrigerado obtido em propriedades rurais do Cerrado Goiano nos períodos chuvoso e seco de 2008. As amostras foram coletadas de produtores individuais onde o armazenamento em tanques de expansão era realizado por até 72 horas, com intervalos de 24 horas. As análises eletrônicas (contagem de células somáticas, contagem bacteriana total e composição centesimal) foram realizadas no Laboratório de Qualidade do Leite do Centro de Pesquisa em Alimentos da Escola de Veterinária da Universidade Federal de Goiás. As análises microbiológicas e de acidez titulável foram realizadas nos Laboratórios de Microbiologia e Processamento de Leite e Derivados da Unidade de Agroindústria do Instituto Federal de Educação, Ciência e Tecnologia Goiano Campus Rio Verde GO. Os dados foram submetidos à análise de variância, e os fatores analisados foram: período (chuvoso ou seco), tipo de ordenha (manual ou mecânica) e tempo de estocagem (zero, 24, 48 e 72 horas), em delineamento inteiramente casualizado e arranjo fatorial 2 x 2 x 4. A comparação do período e tipo de ordenha foi realizada por meio do teste F da análise de variância. Os tempos de estocagem foram analisados por meio de modelos de regressão. Para atender as pressuposições da análise de variância a contagem de psicrotróficos, psicrotróficos proteolíticos, Pseudomonas spp., CCS e CBT foram transformadas por meio do logaritmo na base 10. Foi utilizado o Software SISVAR para análise. A contagem bacteriana total do leite cru refrigerado às 24 horas de armazenamento ficou acima do limite exigido pela legislação. A contagem de psicrotróficos, psicrotróficos proteolíticos e Pseudomonas spp., foi maior no período chuvoso. Deverão ser alertados, produtores e indústrias para a obtenção e processamento de leite com qualidade higiênico-sanitária adequada.

Introduction : Le cancer de l’ovaire est le cancer gynécologique le plus fatal dans le monde et est associé à un fardeau économique considérable pour les systèmes de santé publique, les patients et leurs familles. Actuellement, la prévention de ce cancer passe par l’identification des facteurs de risque, dont l’inflammation. Le double rôle de l’inflammation dans la carcinogenèse (transformation néoplasique et stimulation de la croissance pour l’inflammation chronique, mais également l’inhibition de la croissance pour inflammation aiguë) a déjà été observé au 19ième siècle, par Rudolf Virchow et par l’allemand Bruns, respectivement. Plusieurs preuves suggèrent aussi que le cancer de l’ovaire pourrait être lié à l’inflammation chronique de l’épithélium ovarien d’où l’hypothèse selon laquelle les analgésiques ayant une action anti-inflammatoire comme les anti-inflammatoires non stéroïdiens (AINS) et l’acétaminophène pourraient prévenir le cancer de l’ovaire. Contrairement à l’inflammation chronique, un autre facteur intéressant qui pourrait jouer un rôle sur le cancer de l’ovaire par le biais d’une inflammation aiguë est la mastite puerpérale qui est la forme la plus courante de mastite. Cependant, la littérature existante, examinant l’usage des analgésiques (aspirine, AINS non aspirine et acétaminophène) et le risque de cancer ovarien, est incohérente avec des différences populationnelles (cohortes de naissance différentes) et méthodologiques : variations des définitions de l’utilisation régulière, des variables d’ajustement, mais aussi dans la prise en compte d’une possible causalité inverse. De plus, aucune étude n’a tenté d’évaluer l’association dépendante du temps entre l’utilisation régulière de ces médicaments et le risque de cancer ovarien. Pour la mastite puerpérale pendant l’allaitement, deux articles avaient évalué son association avec le risque de cancer épithélial de l’ovaire (CEO), mais avec des limites méthodologiques : violation de la positivité avec l’inclusion des femmes qui n’ont jamais eu de grossesse et sur-ajustement avec la durée d’allaitement qui est dans le chemin causal. Objectif : Cette thèse visait à atteindre deux objectifs généraux qui sont de fournir de nouvelles preuves concernant les associations entre : 1) l’utilisation régulière d’analgésiques et le risque de CEO ; 2) la mastite puerpérale et le risque de CEO. Méthode : Nous avons utilisé les données d’une étude cas-témoin populationnelle visant à documenter les facteurs pour la prévention du cancer de l’ovaire au Québec (Étude PROVAQ). Cette étude a été menée dans la grande région de Montréal, Canada, de mars 2011 à septembre 2016 avec 498 cas et 908 témoins. Notre approche méthodologique a été effectuée en trois étapes. Premièrement, nous avons utilisé l’ensemble des données de PROVAQ pour l’évaluation des associations entre l’utilisation régulière de types de médicaments analgésiques, et aussi selon l’indication et le risque de CEO. Deuxièmement, à partir des données de PROVAQ, nous avons évalué l’association dépendante du temps entre l’utilisation régulière d’un type de médicaments et le risque de CEO à l'aide d'un indice cumulatif pondéré flexible d'exposition dans des modèles de régression logistique conditionnelle. Enfin, nous avons évalué l’association entre la mastite puerpérale et le risque de CEO chez les femmes allaitantes (174 cas et 431 témoins). La régression logistique a été utilisée pour estimer ces associations. Résultats : Nos résultats suggèrent que l'utilisation régulière d’aspirine et d'AINS non aspirine était inversement associée au CEO avec des rapports de cotes (RC) ajustés de 0,81 (IC à 95 % : 0,57–1,12) et 0,74 (IC à 95 % : 0,54–1,00), respectivement. Pour l'utilisation régulière d'AINS non aspirine, les RCs ajustés des COX-2 non sélective et sélective étaient de 0,73 (IC à 95 % : 0,50–1,00) et de 0,83 (IC à 95 % : 0,48–1,40), respectivement. Des associations similaires ont été observées selon le niveau de durée cumulative à vie ou de quantité cumulative à vie de prises d’aspirine et d’AINS non aspirine. Cependant, les associations entre les types de médicaments analgésiques et le CEO peuvent différer selon leurs indications. Aucune association n’a été trouvée entre le moment de l'utilisation régulière d’un type de médicaments analgésiques au cours des 40 années précédant la date index et le CEO. Aucune association significative n’a été aussi trouvée entre la mastite puerpérale pendant l'allaitement et le CEO (RC = 1,15 ; IC à 95 % : 0,71–1,84). Conclusions : Cette thèse fournit des preuves qui appuient l'hypothèse selon laquelle l'utilisation régulière d'aspirine et d'AINS non aspirine sont inversement associées au CEO. Nos résultats suggèrent également l'importance de considérer les indications d'utilisation lors de l'examen des relations entre les types de médicaments analgésiques et le CEO. Elle n’a pas trouvé d'association entre le moment de l'utilisation régulière d’analgésiques et le CEO mais aussi entre la mastite puerpérale pendant l’allaitement et le CEO. Cependant, notre étude a manqué de puissance. / Introduction: Ovarian cancer is the most fatal gynecological cancer in the world and is associated with a considerable economic burden for public health systems, patients and their families. Currently, the prevention of this cancer requires the identification of risk factors including inflammation. The dual role of inflammation in carcinogenesis (neoplastic transformation and stimulation of cancer growth for chronic inflammation, but also inhibition of cancer growth for acute inflammation) has already been observed in the 19th century, by Rudolf Virchow and by the German Bruns, respectively. Several pieces of evidence also suggest that ovarian cancer could be linked to chronic inflammation of the ovarian epithelium, hence the hypothesis that analgesics with an anti-inflammatory action such as nonsteroidal anti-inflammatory drugs (NSAIDs) and acetaminophen could prevent ovarian cancer. Unlike chronic inflammation, another interesting factor that could play a role in ovarian cancer through acute inflammation is puerperal mastitis which is the most common form of mastitis. However, the existing literature examining the use of analgesics (aspirin, non-aspirin NSAIDs and acetaminophen) and the risk of ovarian cancer is inconsistent with population (different birth cohorts) and methodological differences: variations in definitions of regular use, adjustment variables but also in taking into account a possible reverse causality. In addition, no studies have attempted to assess the time-dependent association between regular use of these drugs and the risk of ovarian cancer. For puerperal mastitis during breastfeeding, two articles had assessed its association with the risk of epithelial ovarian cancer (EOC) but with methodological limitations: violation of positivity with the inclusion of women who never had of pregnancy and over-adjustment with the duration of breastfeeding which is in the causal path. Objective: This thesis aimed to achieve two general objectives which are to provide new evidence regarding the associations between: 1) the regular use of analgesics and the risk of EOC; 2) puerperal mastitis and the risk of EOC. Method: We used data from a population-based case-control study aimed at documenting factors for the prevention of ovarian cancer in Quebec (PROVAQ study). This study was conducted in the greater Montreal area, Canada, from March 2011 to September 2016 with 498 cases and 908 controls. Our methodological approach was carried out in three stages. First, we used the PROVAQ dataset to assess associations between regular use of analgesic drugs types, and also by indication and EOC risk. Second, from PROVAQ data, we evaluated the time-dependent association between regular use of a type of medication and the risk of EOC using a flexible weighted cumulative index of exposure in conditional logistic regression models. Finally, we evaluated the association between puerperal mastitis and the risk of EOC in lactating women (174 cases and 431 controls). Unconditional logistic regression was used to estimate associations between regular use of analgesic drugs types, puerperal mastitis during breastfeeding and EOC risk. Results: Our results suggest that regular use of aspirin and non-aspirin NSAIDs were inversely associated with EOC with adjusted ORs of 0.81 (95% CI: 0.57–1.12) and 0.74 (95% CI: 0.54–1.00), respectively. For regular non-aspirin NSAID use, the adjusted ORs for non-selective and selective COX-2 were 0.73 (95% CI: 0.50–1.00) and 0.83 (95% CI: 0.48–1.40), respectively. Similar associations were observed according to the level of lifetime cumulative duration or lifetime cumulative quantity of aspirin and non-aspirin NSAID. However, the associations between analgesic drug types and EOC may differ according to their indications. No association was found between the time of regular use of any type of analgesic medication in the 40 years prior to the index date and EOC. No significant association was also found between puerperal mastitis during breastfeeding and EOC (OR = 1.15; 95% CI: 0.71–1.84). Conclusions: This thesis provides evidence that supports the hypothesis that regular use of aspirin and non-aspirin NSAIDs are inversely associated with EOC. Our results also suggest the importance of considering indications for use when examining relationships between analgesic drug types and EOC. We found no association between the timing of regular analgesic use and EOC but also between puerperal mastitis during breastfeeding and EOC. However, our study was underpowered.