Evidence map›Paper›PMID 30129199›Full record

ReviewImmunological reviews2018

Interferon at the cellular, individual, and population level in hepatitis C virus infection: Its role in the interferon-free treatment era.

Rubesh Raja, Subhasish Baral, Narendra M Dixit

Open access · hybridAbstract readReview
In one paragraph

Review in Immunological reviews, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.6field-weighted citation impact, top 16% 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

6 citing papers in PubMed, 14 citations in OpenAlex.

  1. Immunomodulatory Role of Interferons in Viral and Bacterial Infections.International journal of molecular sciences · 2023
    Review
  2. Article
  3. Article
  4. Article
  5. A dynamical motif comprising the interactions between antigens and CD8 T cells may underlie the outcomes of viral infections.Proceedings of the National Academy of Sciences of the United States of America · 2019
    Article
  6. Article
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

3 authors at 1 institution in 1 country.

Rubesh RajaDepartment of Chemical Engineering, Indian Institute of Science, Bangalore, India.
Subhasish BaralDepartment of Chemical Engineering, Indian Institute of Science, Bangalore, India.
Narendra M DixitDepartment of Chemical Engineering, Indian Institute of Science, Bangalore, India.ORCID 0000-0002-2145-9828
Indian Institute of Science Bangalore · IN

Funding

DBT-Wellcome Trust India Alliance IA/S/14/1/501307Wellcome Trust
6 · The paper itself

Abstract

The advent of powerful direct-acting antiviral agents (DAAs) has revolutionized the treatment of hepatitis C. DAAs cure nearly all patients with short duration, oral treatments. Significant efforts are now underway to optimize DAA-based treatments. We discuss the potential role of interferon in this optimization. Clinical studies present compelling evidence that DAAs perform better in treatment-naive individuals than in individuals who previously failed treatment with interferon, a surprising correlation because interferon and DAAs are thought to act independently. Recent mathematical models explore a mechanistic hypothesis underlying this correlation. The hypothesis invokes the action of interferon at the cellular, individual, and population levels. Strong interferon responses prevent the productive infection of cells, reduce viral replication, and impede the development of resistance to DAAs in infected individuals and improve cure rates elicited by DAAs in treated populations. The models develop descriptions of these processes, integrate them into a comprehensive framework, and capture clinical data quantitatively, providing a successful test of the hypothesis. Individuals with strong endogenous interferon responses thus present a promising subpopulation for reducing DAA treatment durations. This review discusses the conceptual advances made by the models, highlights the new insights they unravel, and examines their applicability to optimize DAA-based treatments.

Indexed as

Models, ImmunologicalAnimalsAntiviral AgentsClinical ProtocolsHepacivirusHepatitis CHumansInterferonsPatient SelectionTreatment OutcomeAntiviral AgentsInterferonsbistabilitydirect-acting antiviral agentsinterferon signalingmultiscale modelingsustained virological responseviral kinetics

Identifiers

PMID30129199
PMCPMC6614028
OpenAlexW2885999569

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.