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1.
J Immunol ; 210(8): 1108-1122, 2023 04 15.
Artículo en Inglés | MEDLINE | ID: mdl-36881874

RESUMEN

CMV infection alters NK cell phenotype and function toward a more memory-like immune state. These cells, termed adaptive NK cells, typically express CD57 and NKG2C but lack expression of the FcRγ-chain (gene: FCER1G, FcRγ), PLZF, and SYK. Functionally, adaptive NK cells display enhanced Ab-dependent cellular cytotoxicity (ADCC) and cytokine production. However, the mechanism behind this enhanced function is unknown. To understand what drives enhanced ADCC and cytokine production in adaptive NK cells, we optimized a CRISPR/Cas9 system to ablate genes from primary human NK cells. We ablated genes that encode molecules in the ADCC pathway, such as FcRγ, CD3ζ, SYK, SHP-1, ZAP70, and the transcription factor PLZF, and tested subsequent ADCC and cytokine production. We found that ablating the FcRγ-chain caused a modest increase in TNF-α production. Ablation of PLZF did not enhance ADCC or cytokine production. Importantly, SYK kinase ablation significantly enhanced cytotoxicity, cytokine production, and target cell conjugation, whereas ZAP70 kinase ablation diminished function. Ablating the phosphatase SHP-1 enhanced cytotoxicity but reduced cytokine production. These results indicate that the enhanced cytotoxicity and cytokine production of CMV-induced adaptive NK cells is more likely due to the loss of SYK than the lack of FcRγ or PLZF. We found the lack of SYK expression could improve target cell conjugation through enhanced CD2 expression or limit SHP-1-mediated inhibition of CD16A signaling, leading to enhanced cytotoxicity and cytokine production.


Asunto(s)
Infecciones por Citomegalovirus , Citomegalovirus , Humanos , Quinasa Syk/genética , Sistemas CRISPR-Cas , Células Asesinas Naturales , Citocinas , Citotoxicidad Celular Dependiente de Anticuerpos
2.
Sci Immunol ; 9(96): eadj8356, 2024 Jun 28.
Artículo en Inglés | MEDLINE | ID: mdl-38941479

RESUMEN

KLRG1+ CD8 T cells persist for months after clearance of acute infections and maintain high levels of effector molecules, contributing protective immunity against systemic pathogens. Upon secondary infection, these long-lived effector cells (LLECs) are incapable of forming other circulating KLRG1- memory subsets such as central and effector memory T cells. Thus, KLRG1+ memory T cells are frequently referred to as a terminally differentiated population that is relatively short lived. Here, we show that after viral infection of mice, effector cells derived from LLECs rapidly enter nonlymphoid tissues and reduce pathogen burden but are largely dependent on receiving antigen cues from vascular endothelial cells. Single-cell RNA sequencing reveals that secondary memory cells in nonlymphoid tissues arising from either KLRG1+ or KLRG1- memory precursors develop a similar resident memory transcriptional signature. Thus, although LLECs cannot differentiate into other circulating memory populations, they still retain the flexibility to enter tissues and establish residency.


Asunto(s)
Memoria Inmunológica , Lectinas Tipo C , Células T de Memoria , Receptores Inmunológicos , Animales , Femenino , Ratones , Linfocitos T CD8-positivos/inmunología , Memoria Inmunológica/inmunología , Lectinas Tipo C/inmunología , Células T de Memoria/inmunología , Ratones Endogámicos C57BL , Ratones Noqueados , Receptores Inmunológicos/inmunología
3.
J Exp Med ; 219(2)2022 02 07.
Artículo en Inglés | MEDLINE | ID: mdl-34958350

RESUMEN

Emerging viruses threaten global health, but few experimental models can characterize the virus and host factors necessary for within- and cross-species transmission. Here, we leverage a model whereby pet store mice or rats-which harbor natural rodent pathogens-are cohoused with laboratory mice. This "dirty" mouse model offers a platform for studying acute transmission of viruses between and within hosts via natural mechanisms. We identified numerous viruses and other microbial species that transmit to cohoused mice, including prospective new members of the Coronaviridae, Astroviridae, Picornaviridae, and Narnaviridae families, and uncovered pathogen interactions that promote or prevent virus transmission. We also evaluated transmission dynamics of murine astroviruses during transmission and spread within a new host. Finally, by cohousing our laboratory mice with the bedding of pet store rats, we identified cross-species transmission of a rat astrovirus. Overall, this model system allows for the analysis of transmission of natural rodent viruses and is a platform to further characterize barriers to zoonosis.


Asunto(s)
Modelos Animales de Enfermedad , Susceptibilidad a Enfermedades , Virosis/etiología , Virosis/transmisión , Enfermedades de los Animales/transmisión , Enfermedades de los Animales/virología , Animales , Biomarcadores , Interacciones Huésped-Patógeno , Humanos , Interferones/metabolismo , Ratones , Ratones Noqueados , Interacciones Microbianas , Roedores , Virosis/metabolismo
4.
Nat Metab ; 3(8): 1042-1057, 2021 08.
Artículo en Inglés | MEDLINE | ID: mdl-34417593

RESUMEN

Obesity and its consequences are among the greatest challenges in healthcare. The gut microbiome is recognized as a key factor in the pathogenesis of obesity. Using a mouse model, we show here that a wild-derived microbiome protects against excessive weight gain, severe fatty liver disease and metabolic syndrome during a 10-week course of high-fat diet. This phenotype is transferable only during the first weeks of life. In adult mice, neither transfer nor severe disturbance of the wild-type microbiome modifies the metabolic response to a high-fat diet. The protective phenotype is associated with increased secretion of metabolic hormones and increased energy expenditure through activation of brown adipose tissue. Thus, we identify a microbiome that protects against weight gain and its negative consequences through metabolic programming in early life. Translation of these results to humans may identify early-life therapeutics that protect against obesity.


Asunto(s)
Dieta , Resistencia a la Enfermedad , Susceptibilidad a Enfermedades , Exposición a Riesgos Ambientales , Interacciones Microbiota-Huesped , Microbiota , Obesidad/etiología , Alimentación Animal , Animales , Dieta/efectos adversos , Dieta Alta en Grasa , Modelos Animales de Enfermedad , Metabolismo Energético , Microbioma Gastrointestinal , Ratones , Factores de Tiempo , Aumento de Peso
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