| Literature DB >> 33294212 |
Liz Barr1,2,3, Richard Jefferys3.
Abstract
OBJECTIVES: In 2018, we surveyed investigators conducting HIV cure-related clinical research, drawing on information from the online listing established by Treatment Action Group (TAG). The purpose of the survey was to facilitate a landscape analysis of the field. In 2019, we fielded a second survey in order to provide updated information and assess any shifts in the landscape.Entities:
Keywords: Analytical treatment interruptions; Clinical trials registries; HIV cure research; Participant diversity
Year: 2020 PMID: 33294212 PMCID: PMC7695817 DOI: 10.1016/j.jve.2020.100010
Source DB: PubMed Journal: J Virus Erad ISSN: 2055-6640
Fig. 1Study locations.
1A: Study locations, survey responders and TAG listing, 2019
1B: Study locations, TAG listing 2018-2019.
Fig. 2Distribution of studies on TAG listing.
Fig. 3Inter-category combinations.
Planned enrollment by category.
| Category | Mean | Median | Range | Total |
|---|---|---|---|---|
| Adoptive immunotherapy (N = 1) | 12 | – | – | 12 |
| Anti-Inflammatory (N = 2) | 87 | 87 | 64–110 | 174 |
| Anti-Proliferative (N = 1) | 5 | – | – | 5 |
| Antibodies (N = 19) | 40 | 40 | 8–75 | 767 |
| Antiretroviral therapy (N = 1) | 40 | – | – | 40 |
| Cannabinoids | 26 | – | – | 26 |
| Combinations (N = 17) | 88 | 34 | 8–905 | 1507 |
| Cytokines (N = 2) | 15 | 15 | 10–20 | 30 |
| Dual-Affinity Re-Targeting (DART) Molecules (N = 1) | 26 | – | – | 26 |
| Gene Therapies (N = 9) | 16 | 12 | 6–40 | 152 |
| Gene Therapies for HIV-Positive People with Cancers (N = 6) | 8 | 7 | 3–18 | 51 |
| Gonadotropin-Releasing Hormone (GnRH) Agonists (N = 1) | 52 | – | – | 52 |
| Hormones (N = 1) | 22 | – | – | 22 |
| Imaging Studies (N = 4) | 15 | 14 | 5–30 | 63 |
| Immune Checkpoint Inhibitors (N = 5) | 48 | 45 | 20–96 | 241 |
| Latency-Reversing Agents (N = 4) | 29 | 24 | 9–60 | 117 |
| Observational (N = 33) | 252 | 66 | 3–2550 | 8325 |
| Proteasome Inhibitors (N = 1) | 18 | – | – | 18 |
| Retinoids (N = 1) | 12 | – | – | 12 |
| Stem Cell Transplantation (N = 3) | 36 | 25 | 5–80 | 110 |
| Stimulants (N = 1) | 10 | – | – | 10 |
| Therapeutic Vaccines (N = 7) | 38 | 40 | 24–60 | 268 |
| Toll-Like Receptor Agonists (N = 1) | 28 | – | – | 28 |
| Treatment Intensification/Early Treatment (N = 7) | 239 | 101 | 60–621 | 1676 |
| 13,732 |
Demographics of current participants (sex, gender, and age).
| Category (N = respondents) | #/total | % | Mean | Median |
|---|---|---|---|---|
| Total participants (N = 60) | 2754 | – | 45 | 12 |
| Female participants-sex (N = 31) | 260/1549 | 16.7% | 8 | 1 |
| Women participants-gender (N = 20) | 230/1241 | 18.5% | 11 | 1 |
| Transgender (N = 20) | 18/1233 | 1.4% | 1 | 0 |
| Participants over 50 (N = 16) | 49/731 | 6.7% | 3 | 2 |
Fig. 4Mean per-category funding by funder category.
Recommendations for researchers pursuing HIV cure-related research.
| Recommendation 1: | We strongly encourage researchers to set formal enrollment targets (sex, gender, age, race, ethnicity, location) wherever possible. When formal targets are unfeasible or impractical, informal targets can be used. Formal or informal targets should be coupled with an enrollment strategy, and success in achieving demographic targets should be reported in publications and presentations. |
| Recommendation 2: Consensus workshop on addressing sex and gender in HIV cure research | Known (and unknown) sex differences in HIV reservoirs, |
| Recommendation 3: Invest in, and engage with, communities in geographically affected areas | Engaging community members in sub-Saharan Africa and other under-resourced areas of high HIV prevalence is both an ethical and scientific imperative for HIV cure-related research. Research programs should develop broad and comprehensive engagement strategies during the formative stages of cure-related research to ensure the field is responsive to the priorities of all affected populations. |
| Recommendation 4: Incorporate behavioral and social sciences in cure research | In light of the diversity of potentially curative approaches under investigation, incorporating behavioral and social sciences (BSSR) into cure studies may illuminate psychosocial aspects of HIV cure, reveal motivations for participating in clinical studies, and elucidate participants’ perceptions of risk and benefits in cure-related research. |
| Recommendation 4: Transparency of reporting | The major limitation of this and the previous analysis was data availability. We encourage researchers to report and disaggregate data by sex, gender, race, ethnicity, and age whenever possible. We are buoyed by the field’s receptiveness to data sharing and are hopeful this analysis underscores the value of entering study information and results on |