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Machine learning algorithm approach to complete blood count can be used as early predictor of COVID-19 outcome.
Ramalho-Pinto CH, Ventura LHA, Camatta GC, da Silveira-Nunes G, Gomes MS, Sato HI, Costa MS, Guimarães HC, Barbuto RC, Filho OAM, do Amaral LR, Bertarini PLL, Teixeira SMR, Tupinambás U, Teixeira Carvalho A, Faria AMC. Ramalho-Pinto CH, et al. Among authors: camatta gc. J Leukoc Biol. 2024 Oct 21:qiae223. doi: 10.1093/jleuko/qiae223. Online ahead of print. J Leukoc Biol. 2024. PMID: 39432758
Rapid progression of CD8 and CD4 T cells to cellular exhaustion and senescence during SARS-CoV2 infection.
Pedroso RB, Torres L, Ventura LA, Camatta GC, Mota C, Mendes AC, Ribeiro F, Guimarães HC, Barbuto RC, Caixeta F, Nascimento LS, Oliveira MA, Martins VD, Silveira-Nunes G, Tupinambás U, Teixeira-Carvalho A, Graça L, Faria AMC. Pedroso RB, et al. Among authors: camatta gc. J Leukoc Biol. 2024 Nov 27;116(6):1385-1397. doi: 10.1093/jleuko/qiae180. J Leukoc Biol. 2024. PMID: 39298288
Inflammaging in Endemic Areas for Infectious Diseases.
Batista MA, Calvo-Fortes F, Silveira-Nunes G, Camatta GC, Speziali E, Turroni S, Teixeira-Carvalho A, Martins-Filho OA, Neretti N, Maioli TU, Santos RR, Brigidi P, Franceschi C, Faria AMC. Batista MA, et al. Among authors: camatta gc. Front Immunol. 2020 Nov 12;11:579972. doi: 10.3389/fimmu.2020.579972. eCollection 2020. Front Immunol. 2020. PMID: 33262758 Free PMC article. Review.
Living in endemic area for infectious diseases accelerates epigenetic age.
Durso DF, Silveira-Nunes G, Coelho MM, Camatta GC, Ventura LH, Nascimento LS, Caixeta F, Cunha EHM, Castelo-Branco A, Fonseca DM, Maioli TU, Teixeira-Carvalho A, Sala C, Bacalini MJ, Garagnani P, Nardini C, Franceschi C, Faria AMC. Durso DF, et al. Among authors: camatta gc. Mech Ageing Dev. 2022 Oct;207:111713. doi: 10.1016/j.mad.2022.111713. Epub 2022 Aug 2. Mech Ageing Dev. 2022. PMID: 35931241