Evidence map›Paper›PMID 17048707›Full record

ReviewCurrent topics in microbiology and immunology2006

The privacy of T cell memory to viruses.

R M Welsh, S K Kim, M Cornberg, S C Clute, L K Selin, Y N Naumov

Abstract readReview
In one paragraph

Review in Current topics in microbiology and immunology, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Vaccination and heterologous immunity: educating the immune system.Transactions of the Royal Society of Tropical Medicine and Hygiene · 2015
    Review
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Studies in the modulation of experimental autoimmune encephalomyelitis.Journal of neuroimmune pharmacology : the official journal of the Society on NeuroImmune Pharmacology · 2010
    Review
  12. Heterologous immunity between viruses.Immunological reviews · 2010
    Review
  13. Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

6 authors.

R M WelshDepartment of Pathology, University of Massachusetts Medical School, 55 Lake Avenue North, Worcester, MA 01655, USA. raymond.welsh@umassmed.edu
S K Kim
M Cornberg
S C Clute
L K Selin
Y N Naumov

Funding

Tetramer CoreP01AI049320 · NIAID · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI LUZURIAGA, KATHERINE F · 2001 to 2016
$22.3M
Research Resource Technical Development ComponentU19AI057330 · NIAID · DANA-FARBER CANCER INSTITUTE · PI REINHERZ, ELLIS L · 2003 to 2009
$19.5M
Virology and Technology CoreP01AI046629 · NIAID · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI GREINER, DALE LESLIE · 1999 to 2014
$19.1M
Viral Vector CoreU19AI062627 · NIAID · VERSITI WISCONSIN, INC. · PI GORSKI, JACK A · 2004 to 2008
$11.6M
TRAINING IN IMMUNOLOGY (COMPETITIVE RENEWAL OF AI07439)T32AI007349 · NIAID · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI STERN, LAWRENCE J. · 1989 to 2024
$4.5M
Immunity and Virus DiseaseR37AI017672 · NIAID · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI WELSH, RAYMOND M · 2004 to 2013
$4.0M
VIRUS-INDUCED IMMUNOPATHOLOGYR01AR035506 · NIAMS · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI WELSH, RAYMOND M · 1986 to 2008
$3.3M
IMMUNITY IN SYSTEMIC AND MUCOSAL VIRUS INFECTIONSR01AI046578 · NIAID · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI SELIN, LIISA KAARINA · 2000 to 2009
$3.1M
To model crossreacting T-memory of virus-infected miceR01AI054455 · NIAID · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI CELADA, FRANCO · 2003 to 2009
$2.8M
IMMUNITY AND VIRUS DISEASER01AI017672 · NIAID · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI WELSH, RAYMOND M · 1985 to 2003
$1.4M
REGULATION OF NATURAL KILLER CELLSR01CA034461 · NCI · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI WELSH, RAYMOND M · 1985 to 2005
$1.3M
NCI NIH HHS CA34461NIAID NIH HHS AI07349NIAID NIH HHS AI17672NIAID NIH HHS AI46578NIAID NIH HHS AI46629NIAID NIH HHS AI49320NIAID NIH HHS AI54455NIAID NIH HHS AI57330NIAID NIH HHS AI62627NIAMS NIH HHS AR35506
6 · The paper itself

Abstract

T cell responses to viral infections can mediate either protective immunity or damaging immunopathology. Viral infections induce the proliferation of T cells specific for viral antigens and cause a loss in the number of T cells with other specificities. In immunologically naive hosts, viruses will induce T cell responses that, dependent on the MHC, recognize a distinct hierarchy of virus-encoded T cell epitopes. This hierarchy can change if the host has previously encountered another pathogen that elicited a memory pool ofT cells specific to a cross-reactive epitope. This heterologous immunity can deviate the normal immune response and result in either beneficial or harmful effects on the host. Each host has a unique T cell repertoire caused by the random DNA rearrangement that created it, so the specific T cells that create the epitope hierarchy differ between individuals. This "private specificity" seems of little significance in the T cell response of a naive host to infection, but it is of profound importance under conditions of heterologous immunity, where a small subset of a cross-reactive memory pool may expand and dominate a response. Examples are given of how the private specificities of immune responses under conditions of heterologous immunity influence the pathogenesis of murine and human viral infections.

Indexed as

Immunologic MemoryAnimalsEpitopes, T-LymphocyteHumansImmunity, ActiveImmunity, CellularImmunity, InnateMiceSpecies SpecificityT-LymphocytesVirus DiseasesEpitopes, T-Lymphocyte

Identifiers

PMID17048707
PMCPMC7122576

What OpenQuestion holds

Textmetadata
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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.