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dc.contributor.authorBenito, José M
dc.contributor.authorJiménez-Carretero, Daniel
dc.contributor.authorRestrepo, Clara
dc.contributor.authorLigos, José M
dc.contributor.authorValentín-Quiroga, Jaime
dc.contributor.authorMahillo, Ignacio
dc.contributor.authorCabello, Alfonso
dc.contributor.authorLópez-Collazo, Eduardo
dc.contributor.authorSánchez-Cabo, Fátima
dc.contributor.authorGórgolas, Miguel
dc.contributor.authorEstrada, Vicente
dc.contributor.authorRallón, Norma
dc.date.accessioned2024-07-08T13:52:59Z
dc.date.available2024-07-08T13:52:59Z
dc.date.issued2024-05-29
dc.identifier.citationInt J Mol Sci. 2024 May 29;25(11):5937.es_ES
dc.identifier.urihttp://hdl.handle.net/20.500.12105/20210
dc.description.abstractElite controllers (ECs) are people living with HIV (PLWH) able to control HIV replication without antiretroviral therapy and have been proposed as a model of a functional HIV cure. Much evidence suggests that this spontaneous control of HIV has a cost in terms of T cell homeostasis alterations. We performed a deep phenotypic study to obtain insight into T cell homeostasis disturbances in ECs maintaining long-term virologic and immunologic control of HIV (long-term elite controllers; LTECs). Forty-seven PLWH were included: 22 LTECs, 15 non-controllers under successful antiretroviral therapy (onART), and 10 non-controllers not receiving ART (offART). Twenty uninfected participants (UCs) were included as a reference. T cell homeostasis was analyzed by spectral flow cytometry and data were analyzed using dimensionality reduction and clustering using R software v3.3.2. Dimensionality reduction and clustering yielded 57 and 54 different CD4 and CD8 T cell clusters, respectively. The offART group showed the highest perturbation of T cell homeostasis, with 18 CD4 clusters and 15 CD8 clusters significantly different from those of UCs. Most of these alterations were reverted in the onART group. Interestingly, LTECs presented several disturbances of T cell homeostasis with 15 CD4 clusters and 13 CD8 clusters different from UC. Moreover, there was a specific profile of T cell homeostasis alterations associated with LTECs, characterized by increases in clusters of naïve T cells, increases in clusters of non-senescent effector CD8 cells, and increases in clusters of central memory CD4 cells. These results demonstrate that, compared to ART-mediated control of HIV, the spontaneous control of HIV is associated with several disturbances in CD4 and CD8 T cell homeostasis. These alterations could be related to the existence of a potent and efficient virus-specific T cell response, and to the ability to halt disease progression by maintaining an adequate pool of CD4 T cells.es_ES
dc.description.sponsorshipThis project was funded in part by grants RD16/0025/0013, PI16/01769, PI19/01237, and PI19/00973 and integrated into the State Plan for Scientific and Technical Research and Innovation; it was co-funded by the ISCIII Sub-Directorate General for Research Assessment and Promotion and the European Regional Development Fund (ERDF). The HIV BioBank, integrated into the Spanish AIDS Research Network, is partially funded by the RD16/0025/0019 project as part of the Plan Nacional R+D+I and cofinanced by ISCIII Sub-Directorate General for Research Assessment and Promotion and the European Regional Development Fund (ERDF).es_ES
dc.language.isoenges_ES
dc.publisherMultidisciplinary Digital Publishing Institute (MDPI) es_ES
dc.type.hasVersionVoRes_ES
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subject.meshHIV Infections es_ES
dc.subject.meshHomeostasis es_ES
dc.subject.meshCD4-Positive T-Lymphocytes es_ES
dc.subject.meshCD8-Positive T-Lymphocytes es_ES
dc.subject.meshHumans es_ES
dc.subject.meshMale es_ES
dc.subject.meshFemale es_ES
dc.subject.meshAdult es_ES
dc.subject.meshMiddle Aged es_ES
dc.subject.meshHIV Long-Term Survivors es_ES
dc.subject.meshHIV-1 es_ES
dc.subject.meshCohort Studies es_ES
dc.subject.meshViral Load es_ES
dc.titleT Cell Homeostasis Disturbances in a Cohort of Long-Term Elite Controllers of HIV Infection.es_ES
dc.typejournal articlees_ES
dc.rights.licenseAtribución 4.0 Internacional*
dc.identifier.pubmedID38892124es_ES
dc.format.volume25es_ES
dc.format.number11es_ES
dc.identifier.doi10.3390/ijms25115937es_ES
dc.contributor.funderInstituto de Salud Carlos III es_ES
dc.contributor.funderUnión Europea. Fondo Europeo de Desarrollo Regional (FEDER/ERDF) es_ES
dc.description.peerreviewedes_ES
dc.identifier.e-issn1422-0067es_ES
dc.relation.publisherversion10.3390/ijms25115937es_ES
dc.identifier.journalInternational journal of molecular scienceses_ES
dc.repisalud.orgCNICCNIC::Unidades técnicas::Bioinformáticaes_ES
dc.repisalud.institucionCNICes_ES
dc.rights.accessRightsopen accesses_ES
dc.relation.projectFECYTinfo:eu-repo/grantAgreement/ES/RD16/0025/0013es_ES
dc.relation.projectFECYTinfo:eu-repo/grantAgreement/ES/PI16/01769es_ES
dc.relation.projectFECYTinfo:eu-repo/grantAgreement/ES/PI19/01237es_ES
dc.relation.projectFECYTinfo:eu-repo/grantAgreement/ES/PI19/00973es_ES
dc.relation.projectFECYTinfo:eu-repo/grantAgreement/ES/RD16/0025/0019es_ES


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Atribución 4.0 Internacional
Este Item está sujeto a una licencia Creative Commons: Atribución 4.0 Internacional