Sodium taurocholate cotransporting polypeptide (NTCP) polymorphisms may influence HDV RNA load and early response to bulevirtide.

BACKGROUND & AIMS: Genetic polymorphisms in the sodium taurocholate cotransporting peptide (NTCP encoded by SLC10A1) have been described, but their role in untreated and treated patients with chronic hepatitis delta (CHD) remains unknown. Virological response (VR) to the NTCP inhibitor bulevirtide (BLV) was achieved at week 48 by >70% of patients with CHD, but nearly 15% experienced virological non-response (VNR) or partial response (PR). This study aimed to evaluate whether NTCP genetic polymorphisms affect baseline HDV RNA load and response to BLV in patients with CHD. METHODS: BLV-untreated and -treated patients were enrolled in a retrospective cross-sectional and longitudinal study. Clinical and virological characteristics were collected at baseline and up to 96 weeks in the BLV-treated patients. NTCP genetic polymorphisms were identified by Sanger sequencing. RESULTS: Of the six NTCP polymorphisms studied in 209 untreated patients with CHD, carriers of the rs17556915 TT/CC (n = 142) compared to CT (n = 67) genotype presented with higher median HDV RNA levels (5.39 vs. 4.75 log10 IU/ml, p = 0.004). Of 209 patients receiving BLV monotherapy at 2 mg/day, 76 were evaluated at week 24 and 40 up to week 96. Higher mean baseline HDV RNA levels were confirmed in TT/CC (n = 43) compared to CT (n = 33) carriers (5.38 vs. 4.72 log10 IU/ml, p = 0.010). Although 24-week VR was comparable between TT/CC and CT carriers (25/43 vs. 17/33, p = 0.565), the former group presented VNR more often than PR (9/11 vs. 9/23, p = 0.02) at week 24. 7/9 TT/CC genotype carriers remained VNR at week 48 of BLV treatment. CONCLUSIONS: The NTCP rs17556915 C>T genetic polymorphisms may influence baseline HDV RNA load both in BLV-untreated and -treated patients with CHD and may contribute to identifying patients with different early virological responses to BLV. IMPACT AND IMPLICATIONS: Although several sodium taurocholate cotransporting polypeptide (NTCP) genetic polymorphisms have been described, no data are available on their potential role in modifying HDV RNA load or treatment response to bulevirtide (BLV) in patients with chronic hepatitis delta (CHD). In this study, we demonstrated that patients with CHD, either treated or untreated, carrying NTCP rs17556915 TT/CC, presented higher baseline HDV RNA levels compared to those with the CT genotype. Higher HDV RNA levels in TT/CC carriers compared to CT carriers were also confirmed in patients with CHD treated with BLV monotherapy up to 96 weeks. Furthermore, carriers of TT/CC, compared to CT genotype, more frequently showed viral non-response (VNR) than partial response (PR) at week 24 of BLV treatment, and 7/9 TT/CC genotype carriers remained VNR at week 48 of BLV treatment. This is the first study demonstrating a potential role of NTCP genetic polymorphisms in influencing HDV viral load and early virological response to BLV monotherapy. Since no direct HDV resistance to BLV has been described so far, if confirmed in larger studies, the genetic polymorphisms in NTCP may help identify patients with different patterns of early virological response to BLV.

Quantification of serum HDV RNA by Robogene 2.0 in HDV patients is significantly influenced by the extraction methods.

BACKGROUND AND AIM: Management of chronic hepatitis delta (CHD) requires reliable tests for HDV RNA quantification. The aim of the study was to compare two extraction methods for the quantification of HDV RNA in untreated and bulevirtide (BLV)-treated CHD patients. METHODS: Frozen sera from untreated and BLV-treated CHD patients were tested in a single-centre study for HDV RNA levels (Robogene 2.0, Roboscreen GmbH, Leipzig, Germany; LOD 6 IU/mL) with two extraction methods: manual (INSTANT Virus RNA/DNA kit; Roboscreen GmbH, Leipzig, Germany) versus automated (EZ1 DSP Virus Kit; Qiagen, Hilden, Germany). BLV-treated patients were sampled at baseline and during therapy. RESULTS: Two hundred sixty-four sera collected from 157 CHD (139 untreated, 18 BLV-treated) patients were analysed: age 51 (28-78), 59% males, 90% of European origin, 60% cirrhotics, ALT 85 (17-889) U/L, HBsAg 3.8 (1.7-4.6) Log IU/mL, 81% HBV DNA undetectable, 98% HDV genotype 1. Median HDV RNA was 4.53 (.70-8.10) versus 3.77 (.70-6.93) Log IU/mL by manual versus automated extraction (p < .0001). Manual extraction reported similar HDV RNA levels in 31 (20%) patients, higher in 119 (76%) [+.5 and +1 log10 in 60; > +1 log10 in 59] and lower in 7 (4%). Among 18 BLV-treated patients, rates of HDV RNA < LOD significantly differed between the two assays at Weeks 16 and 24 (0% vs. 22%, p = .02; 11% vs. 44%, p = .03), but not at later timepoints. By contrast, virological response rates were similar. CONCLUSIONS: Quantification of HDV RNA by Robogene 2.0 is influenced by the extraction method, the manual extraction being 1 Log more sensitive.

Modelling HDV kinetics under the entry inhibitor bulevirtide suggests the existence of two HDV-infected cell populations.

Background & Aims: Bulevirtide (BLV) was approved for the treatment of compensated chronic hepatitis D virus (HDV) infection in Europe in 2020. However, research into the effects of the entry inhibitor BLV on HDV-host dynamics is in its infancy. Methods: Eighteen patients with HDV under nucleos(t)ide analogue treatment for hepatitis B, with compensated cirrhosis and clinically significant portal hypertension, received BLV 2 mg/day. HDV RNA, alanine aminotransferase (ALT), and hepatitis B surface antigen (HBsAg) were measured at baseline, weeks 4, 8 and every 8 weeks thereafter. A mathematical model was developed to account for HDV, HBsAg and ALT dynamics during BLV treatment. Results: Median baseline HDV RNA, HBsAg, and ALT were 4.9 log IU/ml [IQR: 4.4-5.8], 3.7 log IU/ml [IQR: 3.4-3.9] and 106 U/L [IQR: 81-142], respectively. During therapy, patients fit into four main HDV kinetic patterns: monophasic (n = 2), biphasic (n = 10), flat-partial response (n = 4), and non-responder (n = 2). ALT normalization was achieved in 14 (78%) patients at a median of 8 weeks (range: 4-16). HBsAg remained at pre-treatment levels. Assuming that BLV completely (∼100%) blocks HDV entry, modeling indicated that two HDV-infected cell populations exist: fast HDV clearing (median t1/2 = 13 days) and slow HDV clearing (median t1/2 = 44 days), where the slow HDV-clearing population consisted of ∼1% of total HDV-infected cells, which could explain why most patients exhibited a non-monophasic pattern of HDV decline. Moreover, modeling explained ALT normalization without a change in HBsAg based on a non-cytolytic loss of HDV from infected cells, resulting in HDV-free HBsAg-producing cells that release ALT upon death at a substantially lower rate compared to HDV-infected cells. Conclusion: The entry inhibitor BLV provides a unique opportunity to understand HDV, HBsAg, ALT, and host dynamics. Impact and implications: Mathematical modeling of hepatitis D virus (HDV) treatment with the entry inhibitor bulevirtide (BLV) provides a novel window into the dynamics of HDV RNA and alanine aminotransferase. Kinetic data from patients treated with BLV monotherapy can be explained by hepatocyte populations with different basal HDV clearance rates and non-cytolytic clearance of infected cells. While further studies are needed to test and refine the kinetic characterization described here, this study provides a new perspective on viral dynamics, which could inform evolving treatment strategies for HDV.