Evidence map›Paper›PMID 34589180›Full record

ArticleComputational and structural biotechnology journal2021

A quantitative systems pharmacology model for acute viral hepatitis B.

Eduardo Asín-Prieto, Zinnia P Parra-Guillen, José David Gómez Mantilla, Joris Vandenbossche, Kim Stuyckens, Xavier Woot de Trixhe, Juan José Perez-Ruixo, Iñaki F Troconiz

Open access · goldAbstract read
In one paragraph

Article in Computational and structural biotechnology journal, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.5field-weighted citation impact, top 35% of its field
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

2 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 2 institutions in 2 countries.

Eduardo Asín-PrietoPharmacometrics & Systems Pharmacology Lab, Department of Pharmaceutical Technology and Chemistry, School of Pharmacy and Nutrition, C/Irunlarrea 1, University of Navarra, Pamplona 31080, Spain.
Zinnia P Parra-GuillenPharmacometrics & Systems Pharmacology Lab, Department of Pharmaceutical Technology and Chemistry, School of Pharmacy and Nutrition, C/Irunlarrea 1, University of Navarra, Pamplona 31080, Spain.
José David Gómez MantillaPharmacometrics & Systems Pharmacology Lab, Department of Pharmaceutical Technology and Chemistry, School of Pharmacy and Nutrition, C/Irunlarrea 1, University of Navarra, Pamplona 31080, Spain.
Joris VandenbosscheGlobal Clinical Pharmacology, Janssen Research & Development, Turnhoutseweg 30, 2340 Beerse, Belgium.
Kim StuyckensGlobal Clinical Pharmacology, Janssen Research & Development, Turnhoutseweg 30, 2340 Beerse, Belgium.
Xavier Woot de TrixheGlobal Clinical Pharmacology, Janssen Research & Development, Turnhoutseweg 30, 2340 Beerse, Belgium.
Juan José Perez-RuixoGlobal Clinical Pharmacology, Janssen Research & Development, Turnhoutseweg 30, 2340 Beerse, Belgium.
Iñaki F TroconizPharmacometrics & Systems Pharmacology Lab, Department of Pharmaceutical Technology and Chemistry, School of Pharmacy and Nutrition, C/Irunlarrea 1, University of Navarra, Pamplona 31080, Spain.
Janssen (Belgium) · BENavarre Institute of Health Research · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hepatitis B liver infection is caused by hepatitis B virus (HBV) and represents a major global disease problem when it becomes chronic, as is the case for 80-90% of vertical or early life infections. However, in the vast majority (>95%) of adult exposures, the infected individuals are capable of mounting an effective immune response leading to infection resolution. A good understanding of HBV dynamics and the interaction between the virus and immune system during acute infection represents an essential step to characterize and understand the key biological processes involved in disease resolution, which may help to identify potential interventions to prevent chronic hepatitis B. In this work, a quantitative systems pharmacology model for acute hepatitis B characterizing viral dynamics and the main components of the innate, adaptive, and tolerant immune response has been successfully developed. To do so, information from multiple sources and across different organization levels has been integrated in a common mechanistic framework. The final model adequately describes the chronology and plausibility of an HBV-triggered immune response, as well as clinical data from acute patients reported in the literature. Given the holistic nature of the framework, the model can be used to illustrate the relevance of the different immune pathways and biological processes to ultimate response, observing the negligible contribution of the innate response and the key contribution of the cellular response on viral clearance. More specifically, moderate reductions of the proliferation of activated cytotoxic CD8+ lymphocytes or increased immunoregulatory effects can drive the system towards chronicity.

Indexed as

AHB, acute hepatitis BALT, alanine aminotransferaseanti-HBc, specific antibodies against core hepatitis B antigenanti-HBs, specific antibodies against surface hepatitis B antigenCHB, chronic hepatitis BCTL*, activated CTLCTL, antigen-specific cytotoxic T lymphocytesCTLm, memory CTLDC*, activated dendritic cellsDC, dendritic cellsdHep, debris hepatocytesHB, Hepatitis BHBsAg, hepatitis B surface antigenHBV, hepatitis B virus, HBV DNA, circulating DNA levels of HBVHepatitis BHep, hepatocytesHeptot, total hepatocytesIFN, interferoniHep, infected hepatocytesImmune system dynamicsLN, lymph nodeLPC, long-lived plasma cellsLV, liverMDSC, myeloid-derived suppressor cellsMechanistic modelingNK*, activated NKNK, natural killer cellsODE, ordinary differential equationsPB, plasmablastsPC, plasma cellspDC, plasmacytoid DCPL, plasmaQSP, quantitative systems pharmacologyQuantitative systems pharmacologySPC, short-lived plasma cellsTh0, naïve T cellsTRAIL, tumor necrosis factor–related apoptosis-inducing ligandTreg, regulatory T cellsViral dynamics

Identifiers

PMID34589180
PMCPMC8449028
OpenAlexW3198534741

What OpenQuestion holds

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Registered trials

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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.