Evidence map›Paper›PMID 21732472›Full record

ReviewReviews in medical virology2011

A spatial view of the CD8+ T-cell response: the case of HCV.

Vito Racanelli, Patrizia Leone, Arash Grakoui

Open access · greenAbstract readReview
In one paragraph

Review in Reviews in medical virology, 2011. 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
0.7field-weighted citation impact, top 31% 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, 9 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Immunotherapy of chronic hepatitis C virus infection with antibodies against programmed cell death-1 (PD-1).Proceedings of the National Academy of Sciences of the United States of America · 2013
    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 2 institutions in 2 countries.

Vito RacanelliDepartment of Internal Medicine and Clinical Oncology, University of Bari Medical School, Bari, Italy. v.racanelli@dimo.uniba.it
Patrizia Leone
Arash Grakoui
University of Bari Aldo Moro · ITAtlanta VA Medical Center · US

Funding

Mechanisms of hepatitis C virus persistenceR01AI070101 · NIAID · EMORY UNIVERSITY · PI GRAKOUI, ARASH · 2006 to 2016
$3.9M
Defining the intrahepatic immune response to hepatitis C virusR01DK083356 · NIDDK · EMORY UNIVERSITY · PI GRAKOUI, ARASH · 2010 to 2013
$1.5M
Mechanisms of hepatitis C virus persistenceR56AI070101 · NIAID · EMORY UNIVERSITY · PI GRAKOUI, ARASH · 2011 to 2011
$437k
NIAID NIH HHS AI070101NIAID NIH HHS R01 AI070101NIAID NIH HHS R56 AI070101NIDDK NIH HHS DK083356NIDDK NIH HHS R01 DK083356
6 · The paper itself

Abstract

In viral infections, a memory T-cell population comprises multiple subtypes of cells, distributed in diverse anatomic compartments and possibly re-circulating among them. Accordingly, memory T cells display distinct phenotypes and functions, depending on the nature of the infecting virus, the anatomic location of the infection, and the differences between the sites of active infection and T-cell collection. This paper explores the body compartments where virus-specific CD8(+) T cells have been found during chronic hepatitis C virus infection, describes the cells' memory qualities, and discusses how they are spatially regulated, in comparison with other human viral infections. Understanding the role of compartmentalization and diversity of HCV-specific memory T-cell subsets may be the key to developing effective immunotherapies.

Indexed as

CD8-Positive T-LymphocytesHepacivirusHepatitis C, ChronicHumansImmunologic MemoryT-Lymphocyte Subsets

Identifiers

PMID21732472
PMCPMC3549591
OpenAlexW1959736055

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.