| Literature DB >> 29859062 |
Luna Colagrossi1, Lucas E Hermans2,3, Romina Salpini1, Domenico Di Carlo1, Suzan D Pas3, Marta Alvarez4, Ziv Ben-Ari5, Greet Boland2, Bianca Bruzzone6, Nicola Coppola7, Carole Seguin-Devaux8, Tomasz Dyda9, Federico Garcia4, Rolf Kaiser10, Sukran Köse11, Henrik Krarup12, Ivana Lazarevic13, Maja M Lunar14, Sarah Maylin15, Valeria Micheli16, Orna Mor17, Simona Paraschiv18, Dimitros Paraskevis19, Mario Poljak14, Elisabeth Puchhammer-Stöckl20, François Simon15, Maja Stanojevic13, Kathrine Stene-Johansen21, Nijaz Tihic22, Pascale Trimoulet23, Jens Verheyen24, Adriana Vince25, Snjezana Zidovec Lepej25, Nina Weis26, Tülay Yalcinkaya27, Charles A B Boucher3, Annemarie M J Wensing2, Carlo F Perno28, Valentina Svicher29.
Abstract
BACKGROUND: HBsAg immune-escape mutations can favor HBV-transmission also in vaccinated individuals, promote immunosuppression-driven HBV-reactivation, and increase fitness of drug-resistant strains. Stop-codons can enhance HBV oncogenic-properties. Furthermore, as a consequence of the overlapping structure of HBV genome, some immune-escape mutations or stop-codons in HBsAg can derive from drug-resistance mutations in RT. This study is aimed at gaining insight in prevalence and characteristics of immune-associated escape mutations, and stop-codons in HBsAg in chronically HBV-infected patients experiencing nucleos(t)ide analogues (NA) in Europe.Entities:
Keywords: Drug-resistance; HBV; HBsAg; Immune-escape; Stop-codons
Mesh:
Substances:
Year: 2018 PMID: 29859062 PMCID: PMC5984771 DOI: 10.1186/s12879-018-3161-2
Source DB: PubMed Journal: BMC Infect Dis ISSN: 1471-2334 Impact factor: 3.090
Patients’ Characteristics
| Overall | Genotype-A | Genotype-D | ||
|---|---|---|---|---|
| General | ||||
| Median Age (IQR), years | 45 (38–59) | 45 (33–56) | 49 (40–59) |
|
| Male, N(%)a | 584 (70.5) | 183 (74.4) | 401 (73.6) | 0.810 |
| CHB-related data | ||||
| Median HBV-DNA, log IU/ml (IQR) | 4.4 (3.2–6.4) | 4.7(3.3–6.9) | 4.4 (3.2–6.3) | 0.079 |
| HBeAg positive, N(%)b | 183 (44.1) | 71 (59.7) | 112 (38) |
|
| Median ALT, IU/L (IQR) | 46.5 (32–78) | 46 (30–80) | 48 (32–78) | 0.473 |
| Geographical origin, N(%) | ||||
| Western Europe | 142 (17.1) | 67 (26.3) | 75 (13.1) |
|
| Northern Europe | 26 (3.1) | 10 (3.9) | 16 (2.8) | 0.519 |
| Eastern Europe | 131 (15.8) | 99 (38.8) | 32 (5.6) |
|
| Southern Europe | 529 (63.9) | 79 (31) | 450 (78.5) |
|
| Anti-HBV drug history, N(%)c | ||||
| | ||||
| LAM | 406 (62.5) | 157 (66.8) | 249 (60) | 0.085 |
| ADV | 32 (4.9) | 10 (4.3) | 22 (5.3) | 0.554 |
| ETV | 31 (4.8) | 7 (3) | 24 (5.8) | 0.107 |
| TDF | 5 (0.8) | 2 (0.9) | 3 (0.7) | 0.857 |
| LdT | 3 (0.5) | 1 (0.4) | 2 (0.5) | 1.000 |
| | ||||
| LAM + ADV | 115 (17.7) | 27 (11.5) | 88 (21.2) |
|
| LAM + TDF | 21 (3.2) | 14 (6) | 7 (1.7) |
|
| LAM + ETV | 17 (2.6) | 10 (4.3) | 7 (1.7) |
|
| ADV + ETV | 4 (0.6) | 3 (1.3) | 1 (0.2) | 0.137 |
| ETV + TDF | 3 (0.5) | 3 (1.3) | 0 (0) |
|
| ADV + ETV | 1 (0.2) | 0 (0) | 1 (0.2) | 1.000 |
| | ||||
| LAM + ADV + ETV | 5 (0.8) | 1 (0.4) | 4 (1) | 0.450 |
| LAM + ADV + TDF | 7 (1.1) | 0 (0) | 7 (1.7) |
|
a Percentages are calculated on 791 patients with the datum available, 246 patients for genotype A and 545 for genotype D
b Percentages are calculated on 414 patients with the datum available, 119 patients for genotype A and 295 for genotype D
c Percentages are calculated on 650 patients with the type of anti-HBV drugs available, 235 patients for genotype A and 415 for genotype D
d Statistically significant difference was assessed by Chi-squared Test based on a 2 × 2 contingency table
P-value in italic are statistically significant
Abbreviations: ADV adefovir, ETV entecavir, IQR interquartile range, LAM lamivudine, LdT telbivudine, TDF tenofovir
Fig. 1The histograms report the percentage of patients with at least one: a immune-associated escape mutation; b NA-induced immune-escape mutation; c stop-codon. The analyses included a total of 828 chronically HBV-infected patients: 573 infected with HBV genotype-D and 255 with HBV genotype-A. Statistically significant differences were assessed by Chi Square Test based on a 2 × 2 contingency table. **: 0.001; ***: P < 0.001. Immune-associated escape mutations (sQ101K, sT114R, sP120S/T/A, sT123A/N, sT126N/S, sP127L, sA128V, sQ129R/N, sG130N/R, sT131I, sM133I/L/T, sY134L, sC138Y, sC139S, sT140S, sP142S, sD144A/E, sG145A/R, sN146S) were retrieved from literature and known to affect HBsAg recognition by antibodies [2, 13, 14, 39–47]. The NA-induced immune-escape mutations I195M, I196S, and E164D result from drug-resistance mutation M204 V, M204I, and V173 L (Torresi, 2002)
Fig. 2The histograms report the prevalence of a immune-associated escape mutations, b NA-induced immune-escape mutations, c stop-codons. The prevalence was calculated in the group of 255 patients infected with HBV genotype-A (yellow bars) and in the group of 573 patients infected with HBV genotype-D (green bars). Statistically significant differences were assessed by Chi Squared Test for independence based on a 2 × 2 contingency table. * P < 0.05; ** P < 0.01; *** P < 0.001. In A) a schematic representation of HBsAg functional domains is also reported: N-terminus HBsAg (encompassing amino acids [aa] 1–7), transmembrane domain 1 (TM1, aa: 8–22), loop protruding inside the virion (23-79aa), transmembrane domain 2 (TM2, aa: 80–98), major hydrophilic region (MHR, aa: 99–169) and transmembrane domain 3 and 4 (TM3/4, aa: 170–226). The MHR contains B cell-epitopes including the a-determinant (aa: 124–147)
Fig. 3The histogram reports the percentage of patients with at least one immune-associated escape mutations between European regions. The prevalence was calculated in HBV genotype-D and -A infected patients from Western/Northern (black bars), Southern (grey bars), and Eastern Europe (light grey bars). Statistically significant differences were assessed by Chi Squared Test for independence based on a 2 × 2 contingency table. * P = 0.02
Factors associated with the presence of at least one immune-associated escape mutation by fitting a uni-multivariable logistic regression model
| Variables | Univariate analysisb | Multivariate analysisb | ||
|---|---|---|---|---|
| crude OR [95% CI] | adjusted OR [95% CI] | |||
| Gender (Female vs. Malea) | 1.16 (0.76–1.78) | 0.483 | 1.20 (0.77–1.87) | 0.432 |
| Age (per 1 year increase) |
|
|
|
|
| HBV-DNA (per 1 log10 IU/ml increase) | 1.03 (0.94–1.14) | 0.490 | 1.10 (0.99–1.23) | 0.079 |
| LAM | 1.16 (0.65–2.08) | 0.616 | 1.46 (0.71–3.02) | 0.307 |
| ADV | 1.44 (0.96–2.17) | 0.078 | 1.31 (0.83–2.06) | 0.250 |
| ETVc | 1.28 (0.71–2.31) | 0.409 | 2.04 (0.97–4.29) | 0.060 |
| TDF | 0.76 (0.31–1.87) | 0.547 | 1.13 (0.43–3.02) | 0.803 |
| Geographical origin | ||||
| Southa | 1 | 1 | ||
| West | 0.71 (0.43–1.17) | 0.175 | 1.03 (0.55–1.89) | 0.937 |
| North | 0.55 (0.18–1.62) | 0.276 | 0.72 (0.23–2.28) | 0.581 |
| East | 0.75 (0.46–1.22) | 0.250 | 1.26 (0.62–2.55) | 0.519 |
| Year of collection | ||||
| 1997-2002a | 1 | 1 | ||
| 2003–2005 | 1.07 (0.42–2.71) | 0.892 | 0.79 (0.28–2.20) | 0.651 |
| 2006–2008 |
|
| 1.65 (0.67–4.01) | 0.273 |
| 2009–2012 | 1.79 (0.84–3.83) | 0.134 | 1.36 (0.50–3.68) | 0.547 |
| Genotype (D vs. Aa) |
|
|
|
|
a Reference group
b The analysis was led on 650 patients for whom type of anti-HBV drugs received was known
c Among 64 ETV-treated patients, 26 received LMV
P-value in italic are statistically significant
Abbreviations: ADV adefovir, CI Confidence interval, ETV entecavir, LAM lamivudine, OR Odd ratio, TDF tenofovir
Factors associated with the presence of at least one drug-induced immune-associated escape mutation by fitting a uni-multivariable logistic regression model
| Variables | Univariate analysis | Multivariate analysis | ||
|---|---|---|---|---|
| crude OR [95% CI] | adjusted OR [95% CI] | |||
| Gender (Female vs. Malea) | 0.76 (0.51–1.14) | 0.188 | 0.71 (0.46–1.08) | 0.111 |
| Age (per 1 year increase) | 1.00 (0.99–1.01) | 0.672 | 1.00 (0.99–1.01) | 0.850 |
| HBV-DNA (per 1 log10 IU/ml increase) | 1.06 (0.97–1.15) | 0.208 | 1.04 (0.94–1.15) | 0.409 |
| LAM |
|
|
|
|
| ADV |
|
|
|
|
| ETV | 0.99 (0.57–1.73) | 0.981 | 2.02 (0.95–4.29) | 0.068 |
| TDF | 1.10 (0.52–2.31) | 0.805 | 1.58 (0.67–3.73) | 0.294 |
| Geographical origin | ||||
| Southa | 1 | 1 | ||
| West | 1.01 (0.65–1.58) | 0.951 | 0.75 (0.43–1.32) | 0.323 |
| North | 0.58 (0.21–1.58) | 0.287 | 0.49 (0.17–1.41) | 0.184 |
| East |
|
| 1.22 (0.64–2.33) | 0.552 |
| Year of collection | ||||
| 1997-2002a | 1 | 1 | ||
| 2003–2005 | 0.58 (0.29–1.17) | 0.128 | 0.88 (0.41–1.92) | 0.754 |
| 2006–2008 | 0.61 (0.34–1.08) | 0.088 | 1.09 (0.54–2.19) | 0.817 |
| 2009–2012 | 0.72 (0.41–1.27) | 0.259 | 0.83 (0.36–1.88) | 0.650 |
| Genotype (A vs. Da) |
|
|
|
|
a Reference group (dummy)
P-value in italic are statistically significant
Abbreviations: ADV adefovir, CI Confidence interval, ETV entecavir, LAM lamivudine, OR Odd ratio, TDF tenofovir