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Enregistrement W3169449872

Characterization of physicochemical properties of pan-frying bacon fat and its potential effects on breast cancer progression

2020· dissertation· en· W3169449872 sur OpenAlexaboutno aff

Notice bibliographique

RevueIDEALS (University of Illinois Urbana-Champaign) · 2020
Typedissertation
Langueen
DomaineMedicine
ThématiqueNutritional Studies and Diet
Établissements canadiensnon disponible
Organismes subventionnairesWorld Cancer Research FundUniversity of Illinois at Urbana-Champaign
Mots-clésBreast cancerCancerCharacterization (materials science)Food scienceMedicineInternal medicineChemistryNanotechnologyMaterials science
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

Breast cancer (BC) is the most commonly diagnosed cancer among women in the US. Approximately 1 in 8 women would be diagnosed with BC in their lifetime. The incidence of BC varies around the world, and the age-standardized rate doubles in some developed countries like the US, Canada, Australia, when compared with countries in East Asia. Epidemiology studies demonstrated that environmental factors play an important role in the risk of the onset and progression of BC. Among environmental factors, diet is considered one of the most important and most modifiable risk factors. It is intriguing to investigate the differences between dietary intake in the western world and other parts of the world and to find the correlation between diet and the incidence and development of BC. A Western pattern diet is generally characterized by high intake of red meat, processed meat, high-fat dairy products, and high-sugar drinks. Fats account for approximately 35% of the average American’s caloric intake. Therefore, it is important to address the relationship between fat consumption and health.\nThe overall objective of this project was to characterize bacon fat chemically and to investigate the impact of a bacon fat diet on breast cancer progression in vivo. Our central hypothesis was that consumption of bacon fat would impact breast cancer pathophysiology, and it may accelerate the progression of breast cancer.\nThe first specific aim was to characterize bacon fat (BF) and compare it with lard and fat extracted from bacon. Bacon was pan-fried under controlled conditions, and BF was collected for chemical analysis and animal feed. Soxhlet extraction was used to extract lipid from fried bacon, and the lipid content was calculated. Fatty acid composition and cholesterol concentration were determined by GC-MS and UPLC-ESI-MSMS, respectively. Lard was utilized as a control because bacon fat and lard are both lipids from pig; however, during processing of bacon, the meat undergoes curing and salting, whereas lard is rendered from the fatty tissue of the pig.\nThe second specific aim was to evaluate the effects of a low-fat bacon fat diet on breast cancer progression in preclinical (murine) models, including the impact on primary tumor growth and metastatic potential. The syngeneic allograft mouse model BALB/c mouse strain and FVB mouse strain were selected. In each preclinical study, mice were randomly placed on diets with lard (5% fat from lard, 5% lipid from soybean oil), bacon fat (5% BF, 5% lipid from soybean oil), or a control diet with no expected cholesterol, where lipid content was matched with soybean oil (10% soybean oil). The completed preclinical study includes five parts: 1) Dietary effect of BF on orthotopic primary tumor growth. 2) Dietary effect of BF on breast cancer metastasis and survival on syngeneic BALB/c mice. 3) Dietary effect of BF on breast cancer metastasis on FVB mice and the effect of cholesterol uptake inhibitor. 4) Short-term dietary effect of BF on breast cancer metastasis in BALB/c mice. The mice were euthanized three days after breast cancer cell engraftment to measure the acute response in the tumor microenvironment, including macrophages, neutrophils, and T cells in the pre-metastatic lung. 5) Long term effect of BF on breast cancer metastasis on BALB/c mice.\nThe major findings of this dissertation were:\n(1) Pan-fried BF has an altered fatty acid profile and increased oxysterol 7a/b-\nhydroxycholesterol compared with uncooked lard. High temperature pan-frying induced\nlipid oxidation, including fatty acid oxidation and cholesterol oxidation in bacon fat.\n(2) Consumption of bacon fat increased breast tumor growth and increased distal metastasis.\nThus, it is associated with shorter survival in breast cancer-bearing mice. (3) Consumption of lard increased metastasis compared with a cholesterol-free diet, and the metastatic burden was further increased by the bacon diet. The cholesterol uptake inhibitor Ezetimibe attenuated metastasis increased by the bacon fat-containing diet.\n(4) Myeloid infiltration increases in premetastatic lungs in bacon diet compared to control diet; T cell infiltration in metastatic lungs is altered in mice fed a bacon fat-containing diet compared to control diet. Distal metastasis was observed in both lung and bone, and metastasis increased in mice fed a bacon fat-containing diet.\nIn conclusion, this dissertation demonstrated the lipid composition differences between BF and uncooked lard; and that consumption of bacon fat increased breast cancer tumor growth and metastasis in preclinical models.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Expérimental (laboratoire) · Signal consensuel: Expérimental (laboratoire)
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,002
Score d'incertitude au seuil0,004

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0010,001
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,001
Charge utile insuffisante (le modèle a refusé de juger)0,0010,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,011
Tête enseignante GPT0,226
Écart entre enseignants0,214 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeExpérimental (laboratoire)
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2020
Routes d'admission1
Résumé présentoui

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