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Enregistrement W6978042741 · doi:10.7939/r3-8d0d-bp79

Latent Murine Cytomegalovirus Infection: Impact on Breast Cancer Metastasis and Tissue Cytokine Profiles in Males and Females

2024· dissertation· en· W6978042741 sur OpenAlexaboutno aff

Notice bibliographique

RevueUniversity of Alberta Library · 2024
Typedissertation
Langueen
DomaineMedicine
ThématiqueCytomegalovirus and herpesvirus research
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésImmune systemHuman cytomegalovirusCytokineMetastasisCytomegalovirusBreast cancerLungCancer

Résumé

récupéré en direct d'OpenAlex

Human cytomegalovirus (HCMV) infects 40-100% of adults worldwide depending on the country. After initial infection, HCMV enters a lifelong period of latency, which can be punctuated by reactivation. HCMV seropositivity is associated with worse outcomes in diseases including cardiovascular disorders, immunosenscence in aging, and worse outcomes and metastasis in several cancers, including breast cancer. Our group has previously shown that Canadian women with breast cancer who are HCMV seropositive are 5.6 times more likely to develop stage IV metastasis. We also found that mice with a latent murine cytomegalovirus (mCMV) infection and breast cancer had increased lung metastasis compared to uninfected mice. The possible mechanisms through which a latent HCMV or mCMV infection may impact breast cancer metastasis or other pathologies are unknown. Recent studies have shown long-term changes to the cytokine and immune cell profiles in the salivary glands and adipose tissue of male mice with a latent mCMV infection. Additionally, there are sex differences in the immune response to infection and diseases including cancer; however, the impact of sex on the immune changes during HCMV or mCMV infection is largely unstudied. I hypothesized that there would be chronic long-lasting changes to cytokine profiles in organ microenvironments of mice with latent mCMV infections that will be sex-dependent. In tumors and lungs, these changes will be prometastatic including increased EMT, lung fibrosis, immunosuppression, and increased vascular permeability. Two markers for EMT, E-cadherin (p=0.54) and vimentin (p=0.23) were not different in breast tumors from MMTV-PyVT mice with latent mCMV infections compared to uninfected controls when measured by immunofluorescence. Contrary to the progression of EMT, vimentin measured by western blot was lower (p=0.023) in the breast tumors from the latent mCMV-infected mice; however, vimentin levels in these tumors were positively associated with the size of lung metastases. To determine whether a condition such as infection before cancer development could impact breast cancer metastasis I examined the lungs of mice with latent mCMV infections without cancer. The lungs are a metastatic target for breast cancer, and I measured several pro-metastatic changes that can occur including fibrosis, immunosuppression, and vascular permeability in female BALB/c mice with latent mCMV infections in the absence of breast tumors There was no evidence of lung fibrosis in the BALB/c model or in latent mCMV-infected MMTV-PyVT mice, which develop spontaneous breast tumors (p=0.52). In BALB/c mice with latent infections, without tumors, 10 cytokines were increased significantly in the lungs including pro-metastatic, immunosuppressive IL-4 (p=0.009), and IL-10 (0.004). Several cytokines were altered in the plasma and each organ except the spleen, indicating immune profile alterations in multiple female mouse organs due to latent infection in the absence of tumors. There was also an increase in soluble VE-cadherin in the lungs of mice with latent mCMV infection (p=0.02), indicating a possible increase in vascular permeability. To study the interaction of sex and latent mCMV infection on changes in immune profiles, latent infections with mCMV were established in male and female mice and 32 cytokines in the plasma, lungs, hearts, kidneys, livers, and spleens were measured by array. 20/32 cytokines in the plasma, 17/32 in the lungs, 25/32 in the hearts, 31/32 in the kidneys, 24/32 in the livers, and 23/32 in the spleen were significantly altered in a sex- and/or infection-dependent manner. This demonstrates that the complex interplay between mCMV infection and sex can also differ by tissue. The strongest patterns in terms of sex and infection across several organs were seen for some chemokines including eotaxin (CCL11), LIX (CXCL5), and MIG (CXCL9). These novel findings indicate a possible role for chronic long-term effects of mCMV infection in increasing or suppressing immune cell migration into tissues. Overall, this project provides new information on the chronic long-term changes to host tissue microenvironments that occur in mice with latent mCMV infection, even though it appears to be asymptomatic. This work provides new foundational research into how cytokine/chemokine profiles and vascular permeability are altered in mice with latent mCMV infection and how sex may impact response to this infection. From this work, new mechanisms through which latent mCMV and HCMV affect diseases like breast cancer and cardiovascular disease can be tested and then targeted to improve outcomes and survival.

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 seuil0,007

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
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0020,000

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 Opus0,018
Tête enseignante GPT0,289
Écart entre enseignants0,271 · 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
Publié2024
Routes d'admission1
Résumé présentoui

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