@phdthesis{Schmalbach2014,
  author    = {Schmalbach, Katja},
  title     = {Identification of factors influencing 17beta-estradiol metabolism in female mammary gland},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-109300},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2014},
  abstract  = {The female sex hormone 17beta-estradiol, produced naturally in the body, seems to play an important role in the development of breast cancer, since (i) it can be activated to reactive metabolites, which are known to damage DNA and (ii) the stimulation of the estrogen receptor alpha by 17beta-estradiol enhances cell proliferation. Both processes together increase mutation frequency and subsequently lead to transformation of epithelial cells. Therefore, the aim of this work was to characterize the influence of polymorphisms and lifestyle factors on 17beta-estradiol metabolism in normal mammary gland tissue. [...] In sum, the tissue specific 17beta-estradiol metabolism was described in mammary gland tissue homogenate, whereas differences in proliferation of epithelial cells were only reflected in isolated epithelial cells. Factors associated with breast cancer risk (age, BMI and age-related changes in mammary gland morphology) were shown to affect 17beta-estradiol tissue levels. The 17beta-estradiol mediated genotoxicity was evaluated using bioinformatically calculated DNA adduct fluxes, which were predominately influenced by individual mRNA patterns rather than individual genotypes and (DNA adduct fluxes) were correlated with known breast cancer risk factors (age, parity, BMI and polymorphism of glutathione-S-transferase theta 1).},
  subject      = {Milchdr{\"u}se},
  language  = {en}
}
@phdthesis{Jaud2023,
  author    = {Jaud, Tobias Armin},
  title     = {Application based personalized food choices and health sustainment: scientific background and investigation of biomarkers in human tissue specimens},
  doi       = {10.25972/OPUS-29864},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-298646},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2023},
  abstract  = {Dietary fatty acids serve as objective biomarkers for the estimation of habitual diet mainly because biomarkers are free of memory bias or inaccuracies of food databases. The aim of the present work encompassed the implementation of a gas chromatographical method coupled with a mass spectrometrical and flame-ionization detector for analysis of fatty acid biomarkers in human biospecimens, their analytical determination and statistical evaluation in two different study populations and different biospecimens as well as the elaboration of adverse reactions to food ingredients with special focus on food allergies and food intolerances in the context of a possible implementation into an application for consumer health. The first aim was the identification of potential influence of fatty acid biomarkers on desaturase and elongase indexes (Δ9DI, Δ6DI, Δ5DI and ELOVLI5), which are factors in type 2 diabetes risk, in breast adipose tissue from healthy women. Influence of further variables on respective indexes was also investigated. 40 samples were investigated and potential variables were either collected by questionnaire or determined. Principle component analysis was applied for fatty acid biomarkers (PCdiet1, PCdiet2 and PCdiet3 representative for the dietary intake of vegetable oils/nuts, fish and partially hydrogenated vegetable oils), endogenous estrogens (PCE1) and oxysterols (PCOxy1). Multiple linear regression models were applied. Δ9DI and Δ6DI were influenced non-significantly and significantly negatively by PCdiet2 supporting a putative beneficial effect of vegetable oils and nuts on type 2 diabetes risk factors. ELOVLI5 and Δ5DI were influenced significantly and non-significantly positively by PCdiet1 supporting a putative beneficial effect of fish consumption on type 2 diabetes risk factors. On the other hand, PCdiet1 also significantly and non-significantly positively influenced Δ9DI and Δ6DI supporting a putative adverse effect of fish biomarkers on type 2 diabetes risk factors. The opposing influences of PCdiet1 suggesting an ambivalent role of dietary intake of fish on investigated indexes. Δ6DI was significantly positively influenced by PCdiet3 and number of pregnancies supporting a putative adverse effect of partially hydrogenated vegetable oils and pregnancies on type 2 diabetes risk factors. Lifestyle factors like smoking significantly and non-significantly influenced Δ9DI and Δ6DI putatively adversely. Δ5DI was influenced significantly positively by estrogen active drugs suggesting a putative beneficial effect on type 2 diabetes risk factors. It must be considered that a variation coefficient of up to 0.44 only explained 44\% of variance of the respective indexes, suggesting other influencing factors might play a role. The second aim was the implementation of a gas chromatographical method coupled with a mass spectrometrical and flame-ionization detector for analysis of fatty acid biomarkers in human biospecimens. The method was optimized for separation and detection of 40 fatty acids. Mean recovery for tridecanoic acid was x(tridecanoic acid) = 90.51\% and for nonadecanoic acid x(nonadecanoic acid) = 96.21\%. Thus, there was no significant loss of fatty acids with shorter and longer carbon chains over the extraction process to be expected. Limit of detections were calculated in adipose tissue samples and ranged from 0.007 to 0.077\% of the proportion of the respective fatty acid to total fatty acids. The third aim was the investigation if differentiation between breast glandular and adipose tissue had a relevant impact on the analysis of dietary fatty acid biomarkers or if contamination of breast glandular with breast adipose tissue and vice versa was neglectable for the analysis of dietary fatty acid biomarkers. No statistical significant differences were observed for all investigated fatty acid biomarkers (pentadecanoic-, heptadecanoic-, trans palmitoleic-, eicosapentaenoic-, docosahexaenoic-, linoleic and α-linolenic acid) between breast glandular and adipose tissue. Thus, differentiation between breast glandular and adipose tissue seems not to be necessary for the analysis of fatty acids serving as biomarkers for the intake of specific food groups. Potential influence of mixed breast tissue on fatty acid biomarkers analysis seems to be neglectable. The fourth aim was the determination of fatty acid biomarkers in adipose tissue in another study population from healthy participants. 27 adipose tissue samples were analyzed. Milk and ruminant fat biomarkers exhibited proportions of 0.47\% for pentadecanoic acid, 0.34\% for heptadecanoic acid and 0.25\% for trans palmitoleic acid. Fish fatty acid biomarkers revealed proportions of 0.034\% for eicosapentaenoic acid and 0.061\% for docosahexaenoic acid. The mean proportion of vegetable oils and nuts biomarkers were 9.58\% for linoleic acid and 0.48\% for α-linolenic acid in all adipose tissues. Principle component analysis was applied for the fatty acid biomarkers to provide objective markers of habitual diet for this study population. PCdiet1 was mainly characterized by pentadecanoic acid, heptadecanoic acid and trans palmitoleic acid and therefore served as a principle component for the dietary intake of milk and ruminant fat. PCdiet2 and PCdiet3 only exhibited pattern for ω3 and ω6 fatty acids but not for dietary intake of specific food groups and could therefore not used as objective marker. PCdiet1, 2 and 3 explained 82.76\% of variance. The last aim of this thesis was the elaboration of adverse reactions to food ingredients with special focus on food allergies and food intolerances in the context of a possible implementation into an application for consumer health. Scientific information on adverse reactions to food ingredients and trigger substances was provided in this thesis and possible implementation strategies were evaluated. For food allergens, which have regulatory requirements in the context of labelling, a strategy was elaborated, where it is necessary to provide information on the list of ingredients, the nexus 'contain' and the respective food allergen as well as information on the name of the product. For food intolerances, which do not have regulatory requirements, limits were shown in the context of the application. If the elaborated food intolerances shall be implemented into the application, a professional dietary concept has to be developed for every food intolerance because of the complexity of the implementation.},
  subject      = {Lebensmittelchemie},
  language  = {en}
}