Evidence map›Paper›PMID 42735818›Full record

ArticleJournal of theoretical biology2027

Modeling hepatitis D virus kinetics during bulevirtide monotherapy: challenges and solutions.

Adquate Mhlanga, Louis Shekhtman, Ashish Goyal, Elisabetta Degasperi, Maria Paola Anolli, Sara Colonia Uceda Renteria, Dana Sambarino, Marta Borghi, Riccardo Perbellini, Floriana Facchetti and 4 more

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Article in Journal of theoretical biology, 2027. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

14 authors.

Adquate MhlangaThe Program for Experimental and Theoretical Modeling, Division of Hepatology, Department of Medicine, Stritch School of Medicine, Loyola University Chicago, Maywood, IL, USA.
Louis ShekhtmanThe Program for Experimental and Theoretical Modeling, Division of Hepatology, Department of Medicine, Stritch School of Medicine, Loyola University Chicago, Maywood, IL, USA; Department of Information Science and Applied Artificial Intelligence, Bar-Ilan University, Ramat Gan, Israel.
Ashish GoyalThe Program for Experimental and Theoretical Modeling, Division of Hepatology, Department of Medicine, Stritch School of Medicine, Loyola University Chicago, Maywood, IL, USA.
Elisabetta DegasperiDivision of Gastroenterology and Hepatology, Foundation IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy.
Maria Paola AnolliDivision of Gastroenterology and Hepatology, Foundation IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy.
Sara Colonia Uceda RenteriaMicrobiology and Virology Unit, Foundation IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy.
Dana SambarinoDivision of Gastroenterology and Hepatology, Foundation IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy.
Marta BorghiDivision of Gastroenterology and Hepatology, Foundation IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy.
Riccardo PerbelliniDivision of Gastroenterology and Hepatology, Foundation IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy.
Floriana FacchettiDivision of Gastroenterology and Hepatology, Foundation IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy.
Annapaola CallegaroMicrobiology and Virology Unit, Foundation IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy.
Scott J CotlerThe Program for Experimental and Theoretical Modeling, Division of Hepatology, Department of Medicine, Stritch School of Medicine, Loyola University Chicago, Maywood, IL, USA.
Pietro LamperticoDivision of Gastroenterology and Hepatology, Foundation IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy; CRC "A. M. and A. Migliavacca" Center for Liver Disease, Department of Pathophysiology and Transplantation, University of Milan, Milan, Italy.
Harel DahariThe Program for Experimental and Theoretical Modeling, Division of Hepatology, Department of Medicine, Stritch School of Medicine, Loyola University Chicago, Maywood, IL, USA. Electronic address: hdahari@luc.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The entry inhibitor Bulevirtide (BLV) was recently approved in Europe and the United States for treatment of chronic hepatitis D virus (HDV) infection, which is considered the most severe form of viral hepatitis infection. It is well established that a model that incorporates free virus and infected cells, but assumes fixed target cell number , is limited to predicting a monophasic viral decline for antiviral agents that act solely to block viral entry or infection. We investigated a recently published fixed target cell model against clinical data from HDV-infected individuals treated with BLV monotherapy for up to 96 weeks using non-linear mixed effects modelling (NLME). We found that although estimated parameters in the fixed target cell model had relative standard errors (RSE) below 50%, suggesting acceptable precision, the model failed to reproduce the non-monophasic HDV kinetic patterns observed in most patients. Consequently, the fixed target cell model led to inaccurate predictions of the treatment duration required to reach a theoretical cure boundary, defined as less than 1 virion in the patient's total extracellular body fluid. Furthermore, the model was unable to account for viral breakthrough, characterized by an initial decline followed by an increase in the virus during therapy, and incorrectly predicted that viral load will remain unchanged after treatment cessation. Lastly, we showed that a model that includes target cell dynamics can explain non-monophasic HDV decline patterns such as biphasic, flat-partial response and viral breakthrough. Including target cell dynamics also predicted a viral rebound once BLV is stopped as observed in clinical studies.

Indexed as

Antiviral AgentsHepatitis D, ChronicHepatitis Delta VirusModels, BiologicalPeptidesHumansKineticsLipopeptidesAntiviral AgentsbulevirtideLipopeptidesPeptidesBulevirtideHDV RNAMathematical modelingMonolixRelative standard error

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.