| Literature DB >> 30289805 |
Lorna Leal1,2, Alberto C Guardo2, Sara Morón-López3, Maria Salgado3, Beatriz Mothe3, Carlo Heirman4, Pieter Pannus5, Guido Vanham5, Henk Jan van den Ham6, Rob Gruters6, Arno Andeweg6, Sonja Van Meirvenne4, Judit Pich2, Joan Albert Arnaiz2, Josep M Gatell1,2, Christian Brander3, Kris Thielemans4, Javier Martínez-Picado3,7,8, Montserrat Plana2, Felipe García1,2.
Abstract
OBJECTIVE: The efficacy of therapeutic vaccines against HIV-1 infection has been modest. New inerts to redirect responses to vulnerable sites are urgently needed to improve these results.Entities:
Mesh:
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Year: 2018 PMID: 30289805 PMCID: PMC6221380 DOI: 10.1097/QAD.0000000000002026
Source DB: PubMed Journal: AIDS ISSN: 0269-9370 Impact factor: 4.177
Fig. 1(a) Dose escalation flow chart. (b) Assignation of cohorts.
Fig. 2pETheRNA mRNA vector.
Clinical characteristics of participants.
| Group 1 ( | Group 2 ( | Group 3 ( | Group 4 ( | Group 5 ( | |
| Median age (IQR) | 48 (48–51) | 51 (48–51) | 45 (37–46) | 55 (53–57) | 47 (43–55) |
| Male | 2 | 2 | 2 | 4 | 6 |
| MSM | 2 | 2 | 2 | 4 | 6 |
| Heterosexual (HTSX) | 1 | 1 | 1 | 0 | 0 |
| Intravenous drug user (IDU) | 0 | 0 | 0 | 2 | 0 |
| Hepatitis C virus (HCV) infection | 0 | 0 | 0 | 2 | 0 |
| Median CD4+ cell count at baseline (IQR) | 762 (686–770) | 726 (716–824) | 821 (741–957) | 829 (680–1124) | 904 (868–1071) |
| Median CD4+ cell count at week 6 (IQR) | 672 (663–683) | 938 (784–993) | 643 (589–1040) | 819 (640–928) | 956 (805–1053) |
IQR: Interquartile range.
aFormer IDU.
bBoth HCV infections cured: 1 spontaneously (2009), 1 treated with sofobusvir/daclatasvir (2015).
Total adverse events classified by severity and relationship with the vaccination.
| Variable | Value | Val | I | II | III | IV | V | All |
| Grade 1 | N | 3 | 4 | 1 | 9 | 2 | 19 | |
| % | 75 | 57 | 20 | 82 | 40 | 59 | ||
| Severity | Grade 2 | N | 1 | 3 | 3 | 2 | 3 | 12 |
| % | 25 | 43 | 60 | 18 | 60 | 38 | ||
| Grade 3 | N | 0 | 0 | 1 | 0 | 0 | 1 | |
| % | 0 | 0 | 20 | 0 | 0 | 3 | ||
| All | N | 4 | 7 | 5 | 11 | 5 | 32 | |
| Definite relationship | N | 2 | 0 | 0 | 0 | 0 | 2 | |
| % | 50 | 0 | 0 | 0 | 0 | 6 | ||
| Probable relationship | N | 0 | 0 | 0 | 0 | 0 | 0 | |
| % | 0 | 0 | 0 | 0 | 0 | 0 | ||
| Casual relationship | Possible relationship | N | 1 | 4 | 3 | 6 | 0 | 14 |
| % | 75 | 57 | 60 | 55 | 0 | 44 | ||
| No related | N | 1 | 3 | 2 | 5 | 5 | 16 | |
| % | 75 | 43 | 40 | 45 | 100 | 50 | ||
| Unknown | N | 0 | 0 | 0 | 0 | 0 | 0 | |
| % | 0 | 0 | 0 | 0 | 0 | 0 | ||
| All | N | 4 | 7 | 5 | 11 | 5 | 32 |
Fig. 3Changes in the magnitude of total HIV-1-specific immune responses against IN and OUT peptide pools as measured by ELISPOT (at week 0, 4, 6, 8 and 24).
Fig. 4(a) Impact of the highest doses of iHIVARNA (Groups 4 and 5) in HIV-1 cell-associated total DNA. (b) Impact of TriMix (Groups 1 and 2) or the different doses of iHIVARNA (Groups 3–5) in HIV-1 cell-associated RNA. (c) Impact of the highest doses of iHIVARNA (Groups 4 and 5) in HIV-1 ultrasensitive plasma RNA
Fig. 4 (Continued)(a) Impact of the highest doses of iHIVARNA (Groups 4 and 5) in HIV-1 cell-associated total DNA. (b) Impact of TriMix (Groups 1 and 2) or the different doses of iHIVARNA (Groups 3–5) in HIV-1 cell-associated RNA. (c) Impact of the highest doses of iHIVARNA (Groups 4 and 5) in HIV-1 ultrasensitive plasma RNA