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1. The cost‐effectiveness of prophylaxis strategies for individuals with advanced HIV starting treatment in Africa

Author

Walker, Simon M., Cox, Edward, Revill, Paul, Musiime, Victor, Bwakura?Dangarembizi, Mutsa, Mallewa, Jane, Cheruiyot, Priscilla, Maitland, Kathryn, Ford, Nathan, Gibb, Diana M., Walker, A Sarah, Soares, Marta, Mugyenyi, P, Kityo, C, Musiime, V, Wavamunno, P, Nambi, E, Ocitti, P, Ndigendawani, M, Kabahenda, S, Kemigisa, M, Acen, J, Olebo, D, Mpamize, G, Amone, A, Okweny, D, Mbonye, A, Nambaziira, F, Rweyora, A, Kangah, M, Kabaswahili, V, Abach, J, Abongomera, G, Omongin, J, Aciro, I, Philliam, A, Arach, B, Ocung, E, Amone, G, Miles, P, Adong, C, Tumsuiime, C, Kidega, P, Otto, B, Apio, F, Baleeta, K, Mukuye, A, Abwola, M, Ssennono, F, Baliruno, D, Tuhirwe, S, Namisi, R, Kigongo, F, Kikyonkyo, D, Mushahara, F, Tusiime, J, Musiime, A, Nankya, A, Atwongyeire, D, Sirikye, S, Mula, S, Noowe, N, Lugemwa, A, Kasozi, M, Mwebe, S, Atwine, L, Senkindu, T, Natuhurira, T, Katemba, C, Ninsiima, E, Acaku, M, Kyomuhangi, J, Ankunda, R, Tukwasibwe, D, Ayesiga, L, Hakim, J, Nathoo, K, Bwakura?Dangarembizi, M, Reid, A, Chidziva, E, Mhute, T, Tinago, Gc, Bhiri, J, Mudzingwa, S, Phiri, M, Steamer, J, Nhema, R, Warambwa, C, Musoro, G, Mutsai, S, Nemasango, B, Moyo, C, Chitongo, S, Rashirai, K, Vhembo, S, Mlambo, B, Nkomani, S, Ndemera, B, Willard, M, Berejena, C, Musodza, Y, Matiza, P, Mudenge, B, Guti, V, Etyang, A, Agutu, C, Berkley, J, Maitland, K, Njuguna, P, Mwaringa, S, Etyang, T, Awuondo, K, Wale, S, Shangala, J, Kithunga, J, Mwarumba, S, Maitha, S Said, Mutai, R, Lewa, M Lozi, Mwambingu, G, Mwanzu, A, Kalama, C, Latham, H, Shikuku, J, Fondo, A, Njogu, A, Khadenge, C, Mwakisha, B, Siika, A, Wools?Kaloustian, K, Nyandiko, W, Cheruiyot, P, Sudoi, A, Wachira, S, Meli, B, Karoney, M, Nzioka, A, Tanui, M, Mokaya, M, Ekiru, W, Mboya, C, Mwimali, D, Mengich, C, Choge, J, Injera, W, Njenga, K, Cherutich, S, Orido, M Anyango, Lwande, G Omondi, Rutto, P, Mudogo, A, Kutto, I, Shali, A, Jaika, L, Jerotich, H, Pierre, M, Mallewa, J, Kaunda, S, Van Oosterhout, J, O'Hare, B, Heydermann, R, Gonzalez, C, Dzabala, N, Kelly, C, Denis, B, Selemani, G, Mipando, L Nyondo, Chirwa, E, Banda, P, Mvula, L, Msuku, H, Ziwoya, M, Manda, Y, Nicholas, S, Masesa, C, Mwalukomo, T, Makhaza, L, Sheha, I, Bwanali, J, Limbuni, M, Gibb, D, Thomason, M, Walker, As, Pett, S, Szubert, A, Griffiths, A, Wilkes, H, Rajapakse, C, Spyer, M, Prendergast, A, Klein, N, Rauchenberger, M, Van Looy, N, Little, E, Fairbrother, K, Cowan, F, Seeley, J, Bernays, S, Kawuma, R, Mupambireyi, Z, Kyomuhendo, F, Nakalanzi, S, Peshu, J, Ndaa, S, Chabuka, J, Mkandawire, N, Matandika, L, Kapuya, C, Weller, I, Malianga, E, Mwansambo, C, Miiro, F, Elyanu, P, Bukusi, E, Katabira, E, Mugurungi, O, Peto, T, Musoke, P, Matenga, J, Phiri, S, Lyall, H, Johnston, V, Fitzgerald, F, Post, F, Ssali, F, Arenas?Pinto, A, Turkova, A, and Bamford, A

Subjects
Cost benefit analysis, Practice guidelines (Medicine) -- Evaluation, HIV infection -- Diagnosis -- Care and treatment, Cost benefit analysis, Health
Abstract

: Introduction: Many HIV‐positive individuals in Africa have advanced disease when initiating antiretroviral therapy (ART) so have high risks of opportunistic infections and death. The REALITY trial found that an enhanced‐prophylaxis package including fluconazole reduced mortality by 27% in individuals starting ART with CD4 Methods: The REALITY trial enrolled from June 2013 to April 2015. A decision‐analytic model was developed to estimate the cost‐effectiveness of six management strategies in individuals initiating ART in the REALITY trial countries. Strategies included standard‐prophylaxis, enhanced‐prophylaxis, standard‐prophylaxis with fluconazole; and three CrAg testing strategies, the first stratifying individuals to enhanced‐prophylaxis (CrAg‐positive) or standard‐prophylaxis (CrAg‐negative), the second to enhanced‐prophylaxis (CrAg‐positive) or enhanced‐prophylaxis without fluconazole (CrAg‐negative) and the third to standard‐prophylaxis with fluconazole (CrAg‐positive) or without fluconazole (CrAg‐negative). The model estimated costs, life‐years and quality‐adjusted life‐years (QALY) over 48 weeks using three competing mortality risks: cryptococcal meningitis; tuberculosis, serious bacterial infection or other known cause; and unknown cause. Results: Enhanced‐prophylaxis was cost‐effective at cost‐effectiveness thresholds of US$300 and US$500 per QALY with an incremental cost‐effectiveness ratio (ICER) of US$157 per QALY in the CD4 Conclusions: The REALITY enhanced‐prophylaxis package in individuals with advanced HIV starting ART reduces morbidity and mortality, is practical to administer and is cost‐effective. Efforts should continue to ensure that components are accessed at lowest available prices., Introduction In low‐ and middle‐income settings, more than a third of HIV‐positive individuals starting antiretroviral therapy (ART) present with advanced disease (CD4 ≤ 200 cells/mm[sup.3]); over half of these have [...]

Published
2020
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2. Raltegravir-intensified initial antiretroviral therapy in advanced HIV disease in Africa: A randomised controlled trial

Author

Kityo, C, Szubert, AJ, Siika, A, Heyderman, R, Bwakura-Dangarembizi, M, Lugemwa, A, Mwaringa, S, Griffiths, A, Nkanya, I, Kabahenda, S, Wachira, S, Musoro, G, Rajapakse, C, Etyang, T, Abach, J, Spyer, MJ, Wavamunno, P, Nyondo-Mipando, L, Chidziva, E, Nathoo, K, Klein, N, Hakim, J, Gibb, DM, Walker, AS, Pett, SL, Mugyenyi, P, Musiime, V, Nambi, E, Ocitti, P, Ndigendawani, M, Kemigisa, M, Acen, J, Olebo, D, Mpamize, G, Amone, A, Okweny, D, Mbonye, A, Nambaziira, F, Rweyora, A, Kangah, M, Kabaswahili, V, Abongomera, G, Omongin, J, Aciro, I, Philliam, A, Arach, B, Ocung, E, Amone, G, Miles, P, Adong, C, Tumsuiime, C, Kidega, P, Otto, B, Apio, F, Baleeta, K, Mukuye, A, Abwola, M, Ssennono, F, Baliruno, D, Tuhirwe, S, Namisi, R, Kigongo, F, Kikyonkyo, D, Mushahara, F, Tusiime, J, Musiime, A, Nankya, A, Atwongyeire, D, Sirikye, S, Mula, S, Noowe, N, Kasozi, M, Mwebe, S, Atwine, L, Senkindu, T, Natuhurira, T, Katemba, C, Ninsiima, E, Acaku, M, Kyomuhangi, J, Ankunda, R, Tukwasibwe, D, Ayesiga, L, Reid, A, Mhute, T, Tinago, GC, Bhiri, J, Mudzingwa, S, Phiri, M, Steamer, J, Nhema, R, Warambwa, C, Mutsai, S, Nemasango, B, Moyo, C, Chitongo, S, Rashirai, K, Vhembo, S, Mlambo, B, Nkomani, S, Ndemera, B, Willard, M, Berejena, C, Musodza, Y, Matiza, P, Mudenge, B, Guti, V, Etyang, A, Agutu, C, Berkley, J, Maitland, K, Njuguna, P, Awuondo, K, Wale, S, Shangala, J, Kithunga, J, Mwarumba, S, Maitha, SS, Mutai, R, Lewa, ML, Mwambingu, G, Mwanzu, A, Kalama, C, Latham, H, Shikuku, J, Fondo, A, Njogu, A, Khadenge, C, Mwakisha, B, Wools-Kaloustian, K, Nyandiko, W, Cheruiyot, P, Sudoi, A, Meli, B, Karoney, M, Nzioka, A, Tanui, M, Mokaya, M, Ekiru, W, Mboya, C, Mwimali, D, Mengich, C, Choge, J, Injera, W, Njenga, K, Cherutich, S, Orido, MA, Lwande, GO, Rutto, P, Mudogo, A, Kutto, I, Shali, A, Jaika, L, Jerotich, H, Pierre, M, Mallewa, J, Kaunda, S, Van Oosterhout, J, O'Hare, B, Heydermann, R, Gonzalez, C, Dzabala, N, Kelly, C, Denis, B, Selemani, G, Mipando, LN, Chirwa, E, Banda, P, Mvula, L, Msuku, H, Ziwoya, M, Manda, Y, Nicholas, S, Masesa, C, Mwalukomo, T, Makhaza, L, Sheha, I, Bwanali, J, Limbuni, M, and DiFDMRCWellcome Trust

Subjects
Adult, Male, Zimbabwe, Malawi, Adolescent, Anti-HIV Agents, BIOMARKERS, CHILDREN, HIV Infections, Drug Administration Schedule, Health Services Accessibility, IMMUNE RECONSTITUTION, EFAVIRENZ, Young Adult, Medicine, General & Internal, General & Internal Medicine, Raltegravir Potassium, INFECTION, Humans, Uganda, Child, 11 Medical and Health Sciences, RESTORATION, IMMUNODEFICIENCY, Science & Technology, MORTALITY, ADULTS, SOUTH-AFRICA, Kenya, Anti-Retroviral Agents, Child, Preschool, Africa, Disease Progression, Female, Life Sciences & Biomedicine, REALITY trial team, Follow-Up Studies
Abstract

Background In sub-Saharan Africa, individuals infected with HIV who are severely immunocompromised have high mortality (about 10%) shortly after starting antiretroviral therapy (ART). This group also has the greatest risk of morbidity and mortality associated with immune reconstitution inflammatory syndrome (IRIS), a paradoxical response to successful ART. Integrase inhibitors lead to significantly more rapid declines in HIV viral load (VL) than all other ART classes. We hypothesised that intensifying standard triple-drug ART with the integrase inhibitor, raltegravir, would reduce HIV VL faster and hence reduce early mortality, although this strategy could also risk more IRIS events. Methods and findings In a 2×2×2 factorial open-label parallel-group trial, treatment-naive adults, adolescents, and children >5 years old infected with HIV, with cluster of differentiation 4 (CD4) 0.7) and despite significantly greater VL suppression with raltegravir-intensified ART at 4 weeks (343/836 [41.0%] versus 113/841 [13.4%] with standard ART, p < 0.001) and 12 weeks (567/789 [71.9%] versus 415/803 [51.7%] with standard ART, p < 0.001). Through 48 weeks, there was no evidence of differences in mortality (aHR = 0.98 [95% CI 0.76–1.28], p = 0.91); in serious (aHR = 0.99 [0.81–1.21], p = 0.88), grade-4 (aHR = 0.88 [0.71–1.09], p = 0.29), or ART-modifying (aHR = 0.90 [0.63–1.27], p = 0.54) adverse events (the latter occurring in 59 [6.5%] participants with raltegravir-intensified ART versus 66 [7.3%] with standard ART); in events judged compatible with IRIS (occurring in 89 [9.9%] participants with raltegravir-intensified ART versus 86 [9.5%] with standard ART, p = 0.79) or in hospitalisations (aHR = 0.94 [95% CI 0.76–1.17], p = 0.59). At 12 weeks, one and two raltegravir-intensified participants had predicted intermediate-level and high-level raltegravir resistance, respectively. At 48 weeks, the nucleoside reverse transcriptase inhibitor (NRTI) mutation K219E/Q (p = 0.004) and the non-nucleoside reverse transcriptase inhibitor (NNRTI) mutations K101E/P (p = 0.03) and P225H (p = 0.007) were less common in virus from participants with raltegravir-intensified ART, with weak evidence of less intermediate- or high-level resistance to tenofovir (p = 0.06), abacavir (p = 0.08), and rilpivirine (p = 0.07). Limitations of the study include limited clinical, radiological, and/or microbiological information for some participants, reflecting available services at the centres, and lack of baseline genotypes. Conclusions Although 12 weeks of raltegravir intensification was well tolerated and reduced HIV viraemia significantly faster than standard triple-drug ART during the time of greatest risk for early death, this strategy did not reduce mortality or clinical events in this group and is not warranted. There was no excess of IRIS-compatible events, suggesting that integrase inhibitors can be used safely as part of standard triple-drug first-line therapy in severely immunocompromised individuals. Trial registration ClinicalTrials.gov NCT01825031.

Published
2018

4. ArreSTick motif controls β-arrestin-binding stability and extends phosphorylation-dependent β-arrestin interactions to non-receptor proteins.

Author

Tóth AD, Soltész-Katona E, Kis K, Guti V, Gilzer S, Prokop S, Boros R, Misák Á, Balla A, Várnai P, Turiák L, Ács A, Drahos L, Inoue A, Hunyady L, and Turu G

Subjects
Phosphorylation, Humans, HEK293 Cells, beta-Arrestin 2 metabolism, Amino Acid Sequence, Protein Stability, beta-Arrestins metabolism, Protein Binding, Amino Acid Motifs
Abstract

The binding and function of β-arrestins are regulated by specific phosphorylation motifs present in G protein-coupled receptors (GPCRs). However, the exact arrangement of phosphorylated amino acids responsible for establishing a stable interaction remains unclear. We employ a 1D sequence convolution model trained on GPCRs with established β-arrestin-binding properties. With this approach, amino acid motifs characteristic of GPCRs that form stable interactions with β-arrestins can be identified, a pattern that we name "arreSTick." Intriguingly, the arreSTick pattern is also present in numerous non-receptor proteins. Using proximity biotinylation assay and mass spectrometry analysis, we demonstrate that the arreSTick motif controls the interaction between many non-receptor proteins and β-arrestin2. The HIV-1 Tat-specific factor 1 (HTSF1 or HTATSF1), a nuclear transcription factor, contains the arreSTick pattern, and its subcellular localization is influenced by β-arrestin2. Our findings unveil a broader role for β-arrestins in phosphorylation-dependent interactions, extending beyond GPCRs to encompass non-receptor proteins as well., Competing Interests: Declaration of interests The authors declare no competing interests., (Copyright © 2024 The Authors. Published by Elsevier Inc. All rights reserved.)

Published
2024
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