Evidence map›Paper›PMID 34578451›Full record

ReviewViruses2021

Towards a Systems Immunology Approach to Understanding Correlates of Protective Immunity against HCV.

Naglaa H Shoukry

Abstract readReview
In one paragraph

Review in Viruses, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
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

5 citing papers in PubMed.

  1. Immunological Monitoring in Hepatitis C Virus Controlled Human Infection Model.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2023
    Article
  2. Review
  3. Review
  4. Article
  5. Correlates of vaccine protection againstFrontiers in veterinary science · 2022
    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

1 author.

Naglaa H ShoukryCentre de Recherche du Centre Hospitalier de l'Université de Montréal (CRCHUM), Tour Viger, Local R09.414, 900 Rue St-Denis, Montréal, QC H2X 0A9, Canada.ORCID 0000-0002-8817-8238

Funding

Protective immunity to HCV and rational vaccine designU19AI159819 · NIAID · EMORY UNIVERSITY · PI Gabriel Ozorowski · 2021 to 2026
$16.6M
Dynamics of antigen specific B and Tfh responses during acute and chronic HCVR01AI136533 · NIAID · EMORY UNIVERSITY · PI GRAKOUI, ARASH · 2018 to 2022
$3.8M
T Cell Immunity and HCV Infection OutcomeU01AI131313 · NIAID · RESEARCH INST NATIONWIDE CHILDREN'S HOSP · PI WALKER, CHRISTOPHER M. · 2016 to 2020
$1.3M
CIHR PJT-173467NIAID NIH HHS R01 AI136533NIAID NIH HHS U01 AI131313NIAID NIH HHS U19 AI159819
6 · The paper itself

Abstract

Over the past decade, tremendous progress has been made in systems biology-based approaches to studying immunity to viral infections and responses to vaccines. These approaches that integrate multiple facets of the immune response, including transcriptomics, serology and immune functions, are now being applied to understand correlates of protective immunity against hepatitis C virus (HCV) infection and to inform vaccine development. This review focuses on recent progress in understanding immunity to HCV using systems biology, specifically transcriptomic and epigenetic studies. It also examines proposed strategies moving forward towards an integrated systems immunology approach for predicting and evaluating the efficacy of the next generation of HCV vaccines.

Indexed as

AnimalsB-LymphocytesEpigenesis, GeneticGene Expression ProfilingHepacivirusHepatitis CHepatitis C, ChronicHumansSystems BiologyT-LymphocytesVaccine DevelopmentVaccine EfficacyViral Hepatitis VaccinesViral Hepatitis VaccinesHCVprotective immunitysystems immunologytranscriptomic

Identifiers

PMID34578451
PMCPMC8473057

What OpenQuestion holds

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LicenceCC BY
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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.