Switching to Bictegravir/Emtricitabine/Tenofovir Alafenamide Fumarate Regimen and Its Effect on Liver Steatosis Assessed by Fibroscan
Abstract
:1. Introduction
2. Materials and Methods
2.1. Study Design and Setting
2.2. Inclusion and Non-Inclusion Criteria
2.3. Statistics
3. Results
4. Discussion
- Reduction in hepatic steatosis: One of the most relevant findings of our study is the observed reduction in hepatic steatosis as assessed by Fibroscan. This finding suggests a potential metabolic advantage of BIC/F/TAF, which could be crucial for patients with HIV at risk of MASLD. Given the increasing burden of MASLD among PLWH due to aging, chronic inflammation, and antiretroviral therapy-related metabolic effects, our results highlight the need for further investigation into the role of ART regimens in liver health.
- Re-evaluation of the role of INSTIs in metabolism: Contrary to concerns raised by some studies regarding the potential adverse metabolic effects of INSTIs, our findings suggest a beneficial or neutral impact of BIC/F/TAF on liver steatosis. This discrepancy underlines the importance of patient-specific factors and the need for a more nuanced understanding of antiretroviral therapy-related metabolic effects.
- Real-world clinical relevance: Unlike controlled clinical trials, our study reflects real-world clinical practice, making the findings highly relevant for routine HIV management. By providing data from a real-life cohort, we contribute to the growing body of evidence supporting the long-term metabolic safety of BIC/F/TAF. The observed improvement in hepatic steatosis following BIC/F/TAF initiation suggests its potential benefit for patients with coexisting metabolic conditions. Additionally, the high adherence and tolerability in our cohort highlight the feasibility of this regimen in routine HIV care. Future studies should incorporate larger, multicenter cohorts with extended follow-up periods to validate these findings and further explore long-term metabolic outcomes.
- Comparison with larger studies: To further substantiate our findings, we will consider comparing our results with those obtained in larger cohorts or meta-analyses evaluating the metabolic effects of BIC/F/TAF. This comparison would allow us to assess the consistency of our observations and determine whether the metabolic benefits we identified are generalizable across different populations. Larger studies with more extensive datasets may provide additional statistical power to validate our findings and minimize the potential impact of selection bias inherent in smaller, single-center studies. Evaluating our results alongside broader clinical evidence will help establish the reliability and clinical significance of BIC/F/TAF in improving hepatic and metabolic parameters in PLWH. Additionally, meta-analytical approaches integrating data from multiple studies could provide a more comprehensive understanding of the treatment’s impact across diverse patient groups and clinical settings.
- Implications for future research: Our results open new avenues for research into the interplay between HIV, antiretroviral therapy, and metabolic health. Future studies should aim to confirm our findings in larger, multicenter cohorts and investigate the underlying mechanisms driving the observed improvements in liver steatosis.
- Sample size: The number of patients included in this study is relatively small (n = 25), which may limit the generalizability of the findings. A more extensive study could provide more robust data and statistical power to confirm the reported observations.
- Lack of additional metabolic parameters: Data on insulin resistance and fasting glucose levels were not collected despite their strong association with hepatic steatosis and metabolic syndrome. Including these parameters in future analyses could provide a more comprehensive assessment of liver metabolism in patients undergoing bictegravir/emtricitabine/tenofovir alafenamide therapy.
- Comparison with previous studies: Our findings on the reduction in hepatic steatosis after switching to BIC/F/TAF contrast with some recent studies suggesting a worsening of metabolic parameters after switching from an INSTI to an NNRTI. This discrepancy may be due to differences in the study population, follow-up duration, or hepatic steatosis assessment methods. Future research should explore these differences more thoroughly.
- Reason for therapy switch: Therapy simplification was cited as a reason for switching in five patients, despite most previous regimens already being single-tablet formulations. This aspect requires further clarification for a better understanding of the underlying clinical rationale.
- Exclusive use of Fibroscan for steatosis assessment: Although Fibroscan is a validated tool for measuring hepatic steatosis, its use as the sole method may be a limitation. Integrating other diagnostic techniques, such as proton magnetic resonance spectroscopy or liver biopsy, could provide more accurate data on steatosis progression in patients with HIV.
- Observational nature of the study: Given that this was a retrospective, single-center study, our findings may be influenced by selection bias and unaccounted confounding factors. Prospective, multicenter studies could provide more robust data to confirm our observations.
5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
Abbreviations
AIDS | Acquired Immunodeficiency Syndrome |
ART | Antiretroviral Therapy |
BIC/F/TAF | Bictegravir/Emtricitabine/Tenofovir alafenamide fumarate |
CAP | Controlled Attenuation Parameter |
INSTI | Integrase Strand Transfer Inhibitor |
MASLD | Metabolic Dysfunction-Associated Steatotic Liver Disease |
NNRTI | Non-Nucleoside Reverse Transcriptase Inhibitor |
PLWH | People Living With HIV |
STR | Single-Tablet Regimen |
TAF | Tenofovir Alafenamide Fumarate |
TDF | Tenofovir Disoproxil Fumarate |
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BIC/F/TAF (n = 25) | |
---|---|
Male | 21 (84%) |
Female | 4 (16%) |
Years of HIV infection | 18.24 (3–33) |
CD4+ before switch | 637.86 (173–912) |
Previous regimens | |
RPV/TAF/FTC | 21 (84%) |
EFV/TDF/FTC | 3 (12%) |
DTG + DOR | 1 (4%) |
Days in BIC/F/TAF | 829 (258–1760) |
Reasons for the switch | |
Drug interactions | 8 (32%) |
Simplification | 5 (20%) |
Previous regime toxicity | 2 (8%) |
Proactive switch | 2 (8%) |
High metabolic/CV risk | 5 (20%) |
≥2 reasons for switching | 3 (12%) |
Comorbidities | |
≥2 comorbidities | 10 (40%) |
≥3 comorbidities | 6 (24%) |
Multimorbidity | 7 (28%) |
Polypharmacy | 6 (36%) |
Cigarette smoking | 11 (44%) |
≥3 non-cART medications | 8 (32%) |
Parameters | Values | p |
---|---|---|
Weight T0–Weight 6 months | 76.25–76.75 | 0.502 |
Weight T0–Weight 12 months | 76.00–75.50 | 0.874 |
Waist circumference T0–Waist circumference 6 months | 99.25–101.00 | 0.144 |
BMI T0–BMI 6 months | 25.67–25.83 | 0.611 |
BMI T0–BMI 12 months | 26.00–25.50 | 0.500 |
Cholesterol T T0–Cholesterol T 6 months | 166.47–169.53 | 0.664 |
Cholesterol T T0–Cholesterol T 12 months | 144.57–159.57 | 0.189 |
Cholesterol T T0–Cholesterol T 24 months | 140.17–149.50 | 0.380 |
Cholesterol T T0–Cholesterol T 36 months | 157.50–191.00 | 0.104 |
Cholesterol LDL T0–Cholesterol LDL 6 months | 90.82–100.18 | 0.112 |
Cholesterol LDL T0–Cholesterol LDL 12 months | 74.33–83.67 | 0.456 |
Cholesterol LDL T0–Cholesterol LDL 24 months | 59.00–70.00 | 0.563 |
Cholesterol LDL T0–Cholesterol LDL 36 months | 75.50–81.00 | 0.914 |
Triglycerides T0–Triglycerides 6 months | 123.11–112.16 | 0.510 |
Triglycerides T0–Triglycerides 12 months | 92.43–103.57 | 0.423 |
Triglycerides T0–Triglycerides 24 months | 122.33–91.83 | 0.489 |
Triglycerides T0–Triglycerides 36 months | 72.50–11.50 | 0.352 |
eGFR T0–eGFR 6 months | 96.17–87.22 | 0.180 |
eGFR T0–eGFR 12 months | 79.43–71.86 | 0.075 |
eGFR T0–eGFR 24 months | 95.83–91.00 | 0.264 |
eGFR T0–eGFR 36 months | 82.00–62.00 | 0.344 |
AST T0–AST 6 months | 26.95–23.90 | 0.312 |
AST T0–AST 12 months | 32.00–24.50 | 0.484 |
AST T0–AST 24 months | 35.86–27.71 | 0.191 |
AST T0–AST 36 months | 49.00–25.00 | 0.274 |
CAP T0–CAP T1 (>12 months) | 308.00–225.50 | 0.027 |
Tyg Index T0–Tyg Index 6 months | 4.63–4.55 | 0.297 |
Tyg Index T0–Tyg Index 12 months | 4.47–4.47 | 0.997 |
Tyg Index T0–Tyg Index 24 months | 4.56–4.43 | 0.442 |
Fib-4 T0–Fib-4 6 months | 1.38–1.29 | 0.577 |
Fib-4 T0–Fib-4 12 months | 1.83–1.40 | 0.303 |
Fib-4 T0–Fib-4 24 months | 1.62–1.26 | 0.365 |
Fib-4 T0–Fib-4 36 months | 2.24–1.26 | 0.428 |
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Trizzino, M.; Gaudiano, R.; Arena, D.M.; Pipitò, L.; Gioè, C.; Cascio, A. Switching to Bictegravir/Emtricitabine/Tenofovir Alafenamide Fumarate Regimen and Its Effect on Liver Steatosis Assessed by Fibroscan. Viruses 2025, 17, 440. https://doi.org/10.3390/v17030440
Trizzino M, Gaudiano R, Arena DM, Pipitò L, Gioè C, Cascio A. Switching to Bictegravir/Emtricitabine/Tenofovir Alafenamide Fumarate Regimen and Its Effect on Liver Steatosis Assessed by Fibroscan. Viruses. 2025; 17(3):440. https://doi.org/10.3390/v17030440
Chicago/Turabian StyleTrizzino, Marcello, Roberta Gaudiano, Dalila Mimì Arena, Luca Pipitò, Claudia Gioè, and Antonio Cascio. 2025. "Switching to Bictegravir/Emtricitabine/Tenofovir Alafenamide Fumarate Regimen and Its Effect on Liver Steatosis Assessed by Fibroscan" Viruses 17, no. 3: 440. https://doi.org/10.3390/v17030440
APA StyleTrizzino, M., Gaudiano, R., Arena, D. M., Pipitò, L., Gioè, C., & Cascio, A. (2025). Switching to Bictegravir/Emtricitabine/Tenofovir Alafenamide Fumarate Regimen and Its Effect on Liver Steatosis Assessed by Fibroscan. Viruses, 17(3), 440. https://doi.org/10.3390/v17030440