Abstract
Introduction
Recent studies have found that lipid levels in patients with chronic hepatitis B (CHB) may change during antiviral therapy.
Objective
To assess the effects of first-line nucleot(s)ide analogues (NAs) on lipid profiles in patients with CHB using network meta-analysis.
Methods
Seven electronic databases (PubMed, Embase, Cochrane Library, and four Chinese databases) were searched for cohort studies on the effect of NA on lipids in patients with CHB up to August 1, 2023. The changes of serum total cholesterol (TC), triglyceride (TG), low-density lipoprotein cholesterol (LDL-C), and high-density lipoprotein cholesterol (HDL-C) were taken as outcomes. The mean difference (MD) of continuous variables and 95% confidence intervals (CI) were calculated using RevMan 5.4 and Stata 16.0 software, and network meta-analysis was based on a frequentist framework.
Results
A total of 4194 patients were included in the study, including patients with CHB treated with entecavir (ETV), tenofovir disoproxil fumarate (TDF), and tenofovir alafenamide (TAF), as well as patients not receiving antiviral therapy [patients with inactive CHB who were not receiving antiviral therapy (referred as inactive CHB patients) and non-HBV-infected patients]. TDF reduced TC levels compared to the non-antiviral group (TDF vs. inactive CHB patients: MD = − 17.27, 95% CI (− 30.03, − 4.47); TDF vs. non-HBV-infected individuals: MD = − 17.10, 95% CI (− 20.13, − 14.07)). TC changes in the TAF and ETV groups were not statistically different from the non-antiviral group (TAF vs. inactive CHB patients: MD = − 2.69, 95% CI (− 14.42, 9.04); TAF vs. non-HBV-infected individuals: MD = − 2.52, 95% CI (− 8.47, 3.43); ETV vs. inactive CHB patients: MD = − 4.24, 95% CI (− 17.12, 8.64); ETV vs. non-HBV-infected individuals: MD = − 4.07, 95% CI (− 9.90, 1.75)). The ranking of the effects for lowering TC is as follows: CHB patients treated with nucleotide analogues [with varying efficacy: TDF (SUCRA = 99.9) > ETV (SUCRA = 59.3) > TAF (SUCRA = 43.6)] > inactive CHB patients (SUCRA = 27.3) > non-HBV-infected individuals (SUCRA = 19.9). As for secondary outcomes, among the three antiviral drugs, TDF had the most significant effect on lowering TG, LDL-C, and HDL-C, but none of the three drugs was statistically different from the non-antiviral group. Subgroup analysis showed that the lipid-lowering effect of TDF was more pronounced in the elderly (≥ 50 years).
Conclusion
TDF was effective in lipid reduction, particularly pronounced in the older population. TAF and ETV had a neutral effect to TC, TG, LDL-C, and HDL-C. Despite a relative increase in lipids observed in patients transitioning from TDF to TAF or ETV, these changes remained within acceptable limits.
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Data availability
The datasets analyzed during the current study are available from the corresponding author on reasonable request.
References
World Health Organization (2021) Global progress report on HIV, viral hepatitis and sexually transmitted infections, 2021: accountability for the global health sector strategies 2016–2021: actions for impact. https://apps.who.int/iris/handle/10665/341412. Accessed July 7 2023
Choi HSJ, Tonthat A, Janssen HLA et al (2022) Aiming for functional cure with established and novel therapies for chronic hepatitis B. hepatol Commun6(5):935–949. https://doi.org/10.1002/hep4.1875
Chinese Society of Hepatology CMA (2022) Guidelines for the prevention and treatment of chronic hepatitis B (version 2022). Chinese J hepatol 30(12):1309–1331. https://doi.org/10.3760/cma.j.cn501113-20221204-00607
Mach F, Baigent C, Catapano AL et al (2020) 2019 ESC/EAS guidelines for the management of dyslipidaemias: lipid modification to reduce cardiovascular risk. Eur heart J 41(1):111–188. https://doi.org/10.1093/eurheartj/ehz455
Mena Á, Pedreira JD, Castro Á et al (2014) Metabolic syndrome association with fibrosis development in chronic hepatitis B virus inactive carriers. J Gastroenterol Hepatol 29(1):173–178. https://doi.org/10.1111/jgh.12432
Wong GL, Chan HL, Yu Z et al (2014) Coincidental metabolic syndrome increases the risk of liver fibrosis progression in patients with chronic hepatitis B--a prospective cohort study with paired transient elastography examinations. Aliment Pharmacol Ther 39(8):883–893. https://doi.org/10.1111/apt.12658
Wang CC, Tseng TC, Kao JH (2015) Hepatitis B virus infection and metabolic syndrome: fact or fiction? J Gastroenterol Hepatol 30(1):14–20. https://doi.org/10.1111/jgh.12700
Lam L, Fontaine H, Bourliere M et al (2021) Predictive factors for hepatocellular carcinoma in chronic hepatitis B using structural equation modeling: a prospective cohort study. Clin Res hepatol Gastroenterol 45(5):101713. https://doi.org/10.1016/j.clinre.2021.101713
Bondini S, Kallman J, Wheeler A et al (2007) Impact of non-alcoholic fatty liver disease on chronic hepatitis B. Liver Int 27(5):607–611. https://doi.org/10.1111/j.1478-3231.2007.01482.x
Mak LY, Hui RW, Fung J et al (2020) Diverse effects of hepatic steatosis on fibrosis progression and functional cure in virologically quiescent chronic hepatitis B. J Hepatol 73(4):800–806. https://doi.org/10.1016/j.jhep.2020.05.040
Hui RWH, Seto WK, Cheung KS et al (2018) Inverse relationship between hepatic steatosis and hepatitis B viremia: results of a large case-control study. J Viral Hepat 25(1):97–104. https://doi.org/10.1111/jvh.12766
Seto WK, Hui RWH, Mak LY et al (2018) Association between hepatic steatosis, measured by controlled attenuation parameter, and fibrosis burden in chronic hepatitis B. Clin Gastroenterol Hepatol: Offic Clin Prac J Am Gastroenterol Assoc 16(4):575–583.e572. https://doi.org/10.1016/j.cgh.2017.09.044
Buti M, Riveiro-Barciela M, Esteban R (2018) Long-term safety and efficacy of nucleo(t)side analogue therapy in hepatitis B. Liver Int 38(1):84–89. https://doi.org/10.1111/liv.13641
Chan L, Asriel B, Eaton EF et al (2018) Potential kidney toxicity from the antiviral drug tenofovir: new indications, new formulations, and a new prodrug. Curr Opin Nephrol Hypertens 27(2):102–112. https://doi.org/10.1097/mnh.0000000000000392
Suzuki S, Nishijima T, Kawasaki Y et al (2017) Effect of tenofovir disoproxil fumarate on incidence of chronic kidney disease and rate of estimated glomerular filtration rate decrement in HIV-1-infected treatment-naïve Asian patients: results from 12-year observational cohort. AIDS patient care and STDs 31(3):105–112. https://doi.org/10.1089/apc.2016.0286
Agarwal K, Brunetto M, Seto WK et al (2018) 96 weeks treatment of tenofovir alafenamide vs. tenofovir disoproxil fumarate for hepatitis B virus infection. J Hepatol 68(4):672–681. https://doi.org/10.1016/j.jhep.2017.11.039
Buti M, Gane E, Seto WK et al (2016) Tenofovir alafenamide versus tenofovir disoproxil fumarate for the treatment of patients with HBeAg-negative chronic hepatitis B virus infection: a randomised, double-blind, phase 3, non-inferiority trial. Lancet Gastroenterol Hepatol 1(3):196–206. https://doi.org/10.1016/s2468-1253(16)30107-8
EASL (2017) Clinical Practice Guidelines on the management of hepatitis B virus infection. J Hepatol 67(2):370–398. https://doi.org/10.1016/j.jhep.2017.03.021
Suzuki K, Suda G, Yamamoto Y et al (2022) Effect of switching from tenofovir disoproxil fumarate to tenofovir alafenamide on lipid profiles in patients with hepatitis B. PloS One 17(1):e0261760. https://doi.org/10.1371/journal.pone.0261760
Byun KS, Choi J, Kim JH et al (2022) Tenofovir alafenamide for drug-resistant hepatitis B: a randomized trial for switching from tenofovir disoproxil fumarate. Clin Gastroenterol hepatol: Offic Clin Prac J Am Gastroenterol Assoc 20(2):427–437.e425. https://doi.org/10.1016/j.cgh.2021.04.045
Jeong J, Shin JW, Jung SW et al (2022) Tenofovir alafenamide treatment may not worsen the lipid profile of chronic hepatitis B patients: a propensity score-matched analysis. Clin Mol Hepatol 28(2):254–264. https://doi.org/10.3350/cmh.2021.0314
Shaheen AA, AlMattooq M, Yazdanfar S et al (2017) Tenofovir disoproxil fumarate significantly decreases serum lipoprotein levels compared with entecavir nucleos(t)ide analogue therapy in chronic hepatitis B carriers. Aliment Pharmacol Ther 46(6):599–604. https://doi.org/10.1111/apt.14218
Janicko M, Senajová G, Drazilová S et al (2014) Association between metabolic syndrome and hepatitis B virus infection in the Roma population in eastern Slovakia: a population-based study. Central Eur J Public Health 22Suppl:S37–42. https://doi.org/10.21101/cejph.a3900
Razi B, Alizadeh S, Omidkhoda A et al (2017) Association of chronic hepatitis B infection with metabolic syndrome and its components: meta-analysis of observational studies. Diabetes Metab Syndr 11Suppl 2:S939-s947. https://doi.org/10.1016/j.dsx.2017.07.020
Donegan S, Williamson P, D'Alessandro U et al (2013) Assessing key assumptions of network meta-analysis: a review of methods. Res Synth Methods 4(4):291–323. https://doi.org/10.1002/jrsm.1085
Bucher HC, Guyatt GH, Griffith LE et al (1997) The results of direct and indirect treatment comparisons in meta-analysis of randomized controlled trials. J Clin Epidemiol 50(6):683–691. https://doi.org/10.1016/s0895-4356(97)00049-8
Lumley T (2002) Network meta-analysis for indirect treatment comparisons. Stat Med 21(16):2313–2324. https://doi.org/10.1002/sim.1201
Terrault NA, Bzowej NH, Chang KM et al (2016) AASLD guidelines for treatment of chronic hepatitis B. Hepatology 63(1):261–283. https://doi.org/10.1002/hep.28156
GA Wells BS, D O'Connell (2021) The Newcastle-Ottawa Scale (NOS) for assessing the quality of non-randomised studies in meta-analyses. https://www.ohri.ca/programs/clinical_epidemiology/oxford.asp. Accessed 22 july 2021
Shamsrizi P, Gladstone BP, Carrara E et al (2020) Variation of effect estimates in the analysis of mortality and length of hospital stay in patients with infections caused by bacteria-producing extended-spectrum beta-lactamases: a systematic review and meta-analysis. BMJ open 10(1):e030266. https://doi.org/10.1136/bmjopen-2019-030266
Salanti G, Del Giovane C, Chaimani A et al (2014) Evaluating the quality of evidence from a network meta-analysis. PloS one. 9(7):e99682. https://doi.org/10.1371/journal.pone.0099682
Cipriani A, Higgins JP, Geddes JR et al (2013) Conceptual and technical challenges in network meta-analysis. Ann Intern Med 159(2):130–137. https://doi.org/10.7326/0003-4819-159-2-201307160-00008
Reken S, Sturtz S, Kiefer C et al (2016) Assumptions of mixed treatment comparisons in health technology assessments - challenges and possible steps for practical application. PloS One 11(8):e0160712. https://doi.org/10.1371/journal.pone.0160712
Tonin FS, Rotta I, Mendes AM et al (2017) Network meta-analysis: a technique to gather evidence from direct and indirect comparisons. Pharm Prac 15(1):943. https://doi.org/10.18549/PharmPract.2017.01.943
Higgins JP, Jackson D, Barrett JK et al (2012) Consistency and inconsistency in network meta-analysis: concepts and models for multi-arm studies. Res Synth Methods 3(2):98–110. https://doi.org/10.1002/jrsm.1044
van Valkenhoef G, Dias S, Ades AE et al (2016) Automated generation of node-splitting models for assessment of inconsistency in network meta-analysis. Res Synth Methods 7(1):80–93. https://doi.org/10.1002/jrsm.1167
Salanti G, Kavvoura FK, Ioannidis JP (2008) Exploring the geometry of treatment networks. Ann Intern Med148(7):544–553. https://doi.org/10.7326/0003-4819-148-7-200804010-00011
Salanti G, Ades AE, Ioannidis JP (2011) Graphical methods and numerical summaries for presenting results from multiple-treatment meta-analysis: an overview and tutorial. J Clin Epidemiol 64(2):163–171. https://doi.org/10.1016/j.jclinepi.2010.03.016
chen liwen GW (2021) Zhu Da, Study on the effecacy and safety of conversion from TDF to TAF in the treatment of CHB after virological response. Journal of Mathematical Medicine 34(03):384–387
Suzuki K, Suda G, Yamamoto Y et al (2021) Tenofovir-disoproxil-fumarate modulates lipid metabolism via hepatic CD36/PPAR-alpha activation in hepatitis B virus infection. J Gastroenterol 56(2):168–180. https://doi.org/10.1007/s00535-020-01750-3
Akdemir Kalkan I, Karasahin O, Sarigul F et al (2022) Comparison of tenofovir alafenamide and entecavir therapy in patients with chronic hepatitis B initially treated with tenofovir disoproxil: a retrospective observational survey. Hepatitis Monthly 21(10). https://doi.org/10.5812/hepatmon.118721
Lim J, Choi WM, Shim JH et al (2022) Efficacy and safety of tenofovir alafenamide versus tenofovir disoproxil fumarate in treatment-naïve chronic hepatitis B. Liver Int 42(7):1517–1527. https://doi.org/10.1111/liv.15261
Zhang Q, Liang J, Yin J et al (2022) Real-life impact of tenofovir disoproxil fumarate and entecavir therapy on lipid profile, glucose, and uric acid in chronic hepatitis B patients. J Med Virol 94(11):5465–5474. https://doi.org/10.1002/jmv.27977
Deng Y, Zhu L, Jiang XP et al (2022) The effect of nucleos(t)ide analogues on lipid profiles in patients with naive-treatment chronic hepatitis B. Hepatology 76:S266–S267
Li J, Hu C, Chen Y et al (2021) Short-term and long-term safety and efficacy of tenofovir alafenamide, tenofovir disoproxil fumarate and entecavir treatment of acute-on-chronic liver failure associated with hepatitis B. BMC Infect Dis 21(1):567. https://doi.org/10.1186/s12879-021-06237-x
Fehmi Tabak BM, Bahadir Ceylan, Alper Gunduz, Ozlem Aydin, Hayat Kumbasar, Aahant Cagatay, Levent Erdem, Funda Kocak, Resat Ozaras (2017) The effect of tenofovir and entecavir on lipid profile in chronic hepatitis B patients. In: Fehmi Tabak BM, Bahadir Ceylan, Alper Gunduz, Ozlem Aydin, Hayat Kumbasar, Aahant Cagatay, Levent Erdem, Funda Kocak, Resat Ozaras, editor. APASL; Shanghai, China: Hepatol Int
Kanda N, Okamoto K, Okumura H et al (2021) Outcomes associated with treatment change from tenofovir disoproxil fumarate to tenofovir alafenamide in HIV-1-infected patients: a real-world study in Japan. HIV Med 22(6):457–466. https://doi.org/10.1111/hiv.13061
Mallon PWG, Brunet L, Fusco JS et al (2022) Lipid changes after switch from TDF to TAF in the OPERA cohort: LDL cholesterol and triglycerides. Open forum Infect Dis 9(1):ofab621. https://doi.org/10.1093/ofid/ofab621
Squillace N, Ricci E, Menzaghi B et al (2020) The effect of switching from tenofovir disoproxil fumarate (TDF) to tenofovir alafenamide (TAF) on liver enzymes, glucose, and lipid profile. Drug design Dev Ther 14:5515–5520. https://doi.org/10.2147/dddt.S274307
Milinkovic A, Berger F, Arenas-Pinto A et al (2019) Reversible effect on lipids by switching from tenofovir disoproxil fumarate to tenofovir alafenamide and back. AIDS (London, England). 33(15):2387–2391. https://doi.org/10.1097/qad.0000000000002350
Ogawa E, Nakamuta M, Koyanagi T et al (2022) Switching to tenofovir alafenamide for nucleos(t)ide analogue-experienced patients with chronic hepatitis B: week 144 results from a real-world, multi-centre cohort study. Aliment Pharmacol Ther 56(4):713–722. https://doi.org/10.1111/apt.17107
Wong GLH, Gane E, Pan C et al (2021) Efficacy and safety of tenofovir alafenamide (Taf) vs tenofovir disoproxil fumarate (Tdf) in East Asian chronic hepatitis B patients following 5-years of treatment. Gut 70:A76-A76. https://doi.org/10.1136/gutjnl-2021-IDDF.79
Murakami E, Wang T, Park Y et al (2015) Implications of efficient hepatic delivery by tenofovir alafenamide (GS-7340) for hepatitis B virus therapy. Antimicrob agents Chemother 59(6):3563–3569. https://doi.org/10.1128/aac.00128-15
Quispe R, Elshazly MB, Zhao D et al (2020) Total cholesterol/HDL-cholesterol ratio discordance with LDL-cholesterol and non-HDL-cholesterol and incidence of atherosclerotic cardiovascular disease in primary prevention: the ARIC study. Eur J Prev Cardiol 27(15):1597–1605. https://doi.org/10.1177/2047487319862401
Ingelsson E, Schaefer EJ, Contois JH et al (2007) Clinical utility of different lipid measures for prediction of coronary heart disease in men and women. Jama 298(7):776–785. https://doi.org/10.1001/jama.298.7.776
Fung SK, Ahn SH, Chen CY et al (2021) Atherosclerotic cardiovascular disease (Ascvd) risk profile of tenofovir alafenamide (Taf) versus tenofovir disoproxil fumarate (Tdf) in chronic Hbv (Chb) patients under antiviral therapy for 2 years. In: Fung SK, Ahn SH, Chen CY et al., editors. AASLD annual meeting; Oct, 2021: Hepatology 470A-471A
Liu J, Zhao D, Hao YC et al (2022) [Low-density lipoprotein cholesterol levels and lipid-lowering treatment status among young and middle-aged ultra-high-risk patients with acute coronary syndrome in China]. Zhonghua xin xue guan bing za zhi 50(12):1161–1168. https://doi.org/10.3760/cma.j.cn112148-20220920-00731
Jankowski J, Floege J, Fliser D et al (2021) Cardiovascular disease in chronic kidney disease: pathophysiological insights and therapeutic options. Circulation 143(11):1157–1172. https://doi.org/10.1161/circulationaha.120.050686
Li M, Zhou L, Dorsey HG et al (2020) Tenofovir alafenamide does not inhibit mitochondrial function and cholesterol biosynthesis in human T lymphoblastoid cell line. Antiviral Res183:104948. https://doi.org/10.1016/j.antiviral.2020.104948
Duan YQ, Chen ZW, Hu P (2022) Impact of long-term tenofovir disoproxil fumarate treatment on hepatic lipid metabolism in mouse. Hepatology 76:S291–S292
Garbacz WG, Lu P, Miller TM et al (2016) Hepatic overexpression of CD36 improves glycogen homeostasis and attenuates high-fat diet-induced hepatic steatosis and insulin resistance. Mol Cell biol 36(21):2715–2727. https://doi.org/10.1128/mcb.00138-16
Pawlak M, Lefebvre P, Staels B (2015) Molecular mechanism of PPARα action and its impact on lipid metabolism, inflammation and fibrosis in non-alcoholic fatty liver disease. J Hepatol 62(3):720–733. https://doi.org/10.1016/j.jhep.2014.10.039
Katsiki N, Kolovou G, Perez-Martinez P et al (2018) Dyslipidaemia in the elderly: to treat or not to treat?. Expert Rev Clin Pharmacol 11(3):259–278. https://doi.org/10.1080/17512433.2018.1425138
Jo MJ, Lee JK, Kim JE et al (2023) Molecular mechanisms associated with aging kidneys and future perspectives. Int J Mol Sci 24(23). https://doi.org/10.3390/ijms242316912
Angelov A, Connelly PJ, Delles C et al (2023) Sex-biased and sex hormone-dependent regulation of apolipoprotein A1. Curr Opi Physiol 33:100654. https://doi.org/10.1016/j.cophys.2023.100654
Pellegrini M, Pallottini V, Marin R et al (2014) Role of the sex hormone estrogen in the prevention of lipid disorder. Curr Med Chem 21(24):2734–2742. https://doi.org/10.2174/0929867321666140303123602
Williams CM (2004) Lipid metabolism in women. Proc Nutr Soc 63(1):153–160. https://doi.org/10.1079/pns2003314
Morrone D, Weintraub WS, Toth PP et al (2012) Lipid-altering efficacy of ezetimibe plus statin and statin monotherapy and identification of factors associated with treatment response: a pooled analysis of over 21,000 subjects from 27 clinical trials. Atheroscl223(2):251–261. https://doi.org/10.1016/j.atherosclerosis.2012.02.016
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WH conceptualized and planned the work described; KT, DW, and JP acquired the data; KT, JZ, and YC analyzed and interpreted the data; KT and MC drafted the manuscript and were responsible for manuscript revisions; and HD and JZ were involved in critical revisions of the manuscript. All authors approved the final version of the manuscript as submitted.
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Tong, K., Chen, M., Wang, D. et al. Effects of first-line nucleot(s)ide analogues on lipid profiles in patients with chronic hepatitis B: a network meta-analysis. Eur J Clin Pharmacol 80, 335–354 (2024). https://doi.org/10.1007/s00228-023-03616-y
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DOI: https://doi.org/10.1007/s00228-023-03616-y