Modelling the impact of protein-kinase R allelic variant on HIV biomarkers trajectories by means of latent class mixed models

• Published in: Scientific reports Vol. 12; no. 1; pp. 18575 - 9
• Main Authors: Brombin, Chiara, Bagaglio, Sabrina, Cugnata, Federica, Castagna, Antonella, Uberti-Foppa, Caterina, Salpietro, Stefania, Di Serio, Clelia, Morsica, Giulia
• Format: Journal Article
• Language: English
• Published: London Nature Publishing Group UK 03.11.2022; Nature Publishing Group; Nature Portfolio
• Subjects: 631/208; 639/705/531; 692/308/53; 692/499; 692/699/255; Antiretroviral agents; Antiretroviral drugs; Antiretroviral therapy; Antiviral Agents - therapeutic use; Antiviral drugs; Biomarkers; CD4 antigen; CD8 antigen; eIF-2 kinase; eIF-2 Kinase - metabolism; Genotype & phenotype; Genotypes; Heterogeneity; HIV; HIV Infections - drug therapy; HIV Infections - genetics; Human immunodeficiency virus; Humanities and Social Sciences; Humans; Interferon; Kinases; Latent class analysis; Longitudinal Studies; multidisciplinary; Protein biosynthesis; Protein kinase R; Protein synthesis; Proteins; Retrospective Studies; Science; Science (multidisciplinary); Viral Load

This paper is based on a retrospective longitudinal study on people living with HIV under antiretroviral treatment (ART) where allelic variants (either heterozygous CT genotype or homozygous CC genotype) have been evaluated at position −168 of the promoter region of the protein kinase R (−168/PKR)....