Back

An FDA-Approved Tenofovir Alafenamide-Based Antiretroviral Therapy Reduces Biological Age in Healthy Adults: First Human Proof-of-Concept for Retrotransposon-Targeted Gerotherapeutics

Anderson, P. L.; Pang, A. P.; Coyle, R. P.; Schlachetzki, J.; Molina, A. J.; Bushman, L.; Aguado, J.; Hill, B.; Liu, A. Y.; Brooks, K. M.; Erlandson, K. M.; Corley, M. J.

2026-03-26 pharmacology and therapeutics
10.64898/2026.03.23.26349105 medRxiv
Show abstract

Nucleos(t)ide reverse transcriptase inhibitors (NRTIs) used for HIV treatment and pre-exposure prophylaxis have been proposed as gerotherapeutics based on their capacity to suppress age-associated retrotransposon activity. However, evidence in humans is currently lacking. Here we evaluated DNA methylation-based measures of biological aging in healthy people without HIV (aged 18-50) using samples from two separate randomized, directly observed dosing pharmacokinetic studies of FDA-approved NRTI regimens containing emtricitabine-tenofovir-alafenamide (FTC/TAF;200 mg/25 mg) or FTC-tenofovir-disoproxil fumarate (FTC/TDF; 200 mg/300 mg) for 12 weeks. In the FTC/TAF study (N=36), epigenetic aging measures based on DNA methylation (DNAm) profiling decreased over follow-up, including DunedinPACE (-0.061, p=0.019) and PhenoAge (-6.33, p=0.008), with concordant reductions (p<0.05) across additional systems-specific epigenetic clocks including those estimating brain aging. DNAm-based proxies of inflammatory biomarkers also declined, with significant reductions in epigenetic IL-6 (-0.058, p=0.029) and a trend toward reduced C-reactive protein (-0.231, p=0.059). In contrast, the FTC/TDF study (N=43) showed no significant changes across epigenetic clocks and proxies. These findings are consistent with TAFs more favorable cellular pharmacology compared with TDF and support gerotherapeutic effects of FTC/TAF. Prospective placebo-controlled studies are warranted that integrate clinical pharmacology, direct transposable element readouts, and prespecified geroscience and DNA methylation-based aging endpoints.

Matching journals

The top 1 journal accounts for 50% of the predicted probability mass.

50% of probability mass above

"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.