Evidence map›Paper›PMID 21489639›Full record

ArticleVeterinary immunology and immunopathology2011

Development of γδ T cell subset responses in gnotobiotic pigs infected with human rotaviruses and colonized with probiotic lactobacilli.

Ke Wen, Guohua Li, Wei Zhang, Marli S P Azevedo, Linda J Saif, Fangning Liu, Tammy Bui, Ahmed Yousef, Lijuan Yuan

Abstract readControlled Clinical Trial
In one paragraph

Article in Veterinary immunology and immunopathology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.4field-weighted citation impact, top 20% 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

14 citing papers in PubMed, 25 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Cynomolgus Monkeys (Viruses · 2018
    Article
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  7. Article
  8. Article
  9. Review
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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

9 authors at 4 institutions in 1 country.

Ke WenDepartment of Biomedical Sciences and Pathobiology, Virginia-Maryland Regional College of Veterinary Medicine, Virginia Polytechnic Institute and State University, Integrated Life Science Building (0913), 1981 Kraft Dr, Blacksburg, VA 24061, USA.
Guohua Li
Wei Zhang
Marli S P Azevedo
Linda J Saif
Fangning Liu
Tammy Bui
Ahmed Yousef
Lijuan Yuan
Virginia–Maryland College of Veterinary Medicine · USThe Ohio State University · USUnited States Food and Drug Administration · USVirginia Tech · US

Funding

Mechanisms of Immune Modulation by ProbioticsR01AT004789 · NCCIH · VIRGINIA POLYTECHNIC INST AND ST UNIV · PI YUAN, LIJUAN · 2009 to 2012
$1.5M
ENHANCING THE IMMUNOGENICITY OF HUMAN ROTAVIRUS VACCINESR01AI033561 · NIAID · OHIO STATE UNIVERSITY · PI SAIF, LINDA J. · 1992 to 2006
$945k
Effects of Probiotic Lactobacilli on Rotavirus ImmunityR21AT002524 · NCCIH · OHIO STATE UNIVERSITY · PI YUAN, LIJUAN · 2005 to 2006
$354k
NCCIH NIH HHS R01 AT004789NCCIH NIH HHS R01AT004789NCCIH NIH HHS R21 AT002524NCCIH NIH HHS R21AT002524NIAID NIH HHS R01 AI033561NIAID NIH HHS R01AI033561
6 · The paper itself

Abstract

γδ T cell responses are induced by various viral and bacterial infections. Different γδ T cells contribute to activation and regulation of the inflammatory response and to epithelial repair. How γδ T cells respond to rotavirus infection and how the colonization of probiotics influences the γδ T cell response were unknown. In this study, we evaluated by multicolor flow cytometry the frequencies and distribution of total γδ T cells and three major subsets (CD2-CD8-, CD2+CD8- and CD2+CD8+) in ileum, spleen and blood of gnotobiotic (Gn) pigs at early (3-5 days) and late phases (28 days) after rotavirus infection. The Gn pigs were inoculated with the virulent human rotavirus Wa strain and colonized with a mixture of two strains of probiotics Lactobacillus acidophilus and Lactobacillus reuteri. In naïve pigs, the highest frequency of total γδ T cells was found in blood, followed by spleen and ileum at the early age (8-10 days old) whereas in older pigs (32 days of age) the highest frequency of total γδ T cells was found in ileum and spleen followed by blood. Rotavirus infection significantly increased frequencies of intestinal total γδ T cells and the putatively regulatory CD2+CD8+ γδ T cell subset and decreased frequencies of the putatively proinflammatory CD8- subsets in ileum, spleen and blood at post-infection days (PID) 3 or 5. The three γδ T cell subsets distributed and responded differently after rotavirus infection and/or lactobacilli colonization. The CD2+CD8+ subset contributed the most to the expansion of total γδ T cells after rotavirus infection in ileum because more than 77% of the total γδ T cells there were CD2+CD8+ cells. There was an additive effect between lactobacilli and rotavirus in inducing total γδ T cell expansion in ileum at PID 5. The overall effect of lactobacilli colonization versus rotavirus infection on frequencies of the CD2+CD8+ γδ T cell subset in ileum was similar; however, rotavirus-infected pigs maintained significantly higher frequencies of CD8- subsets in ileum than lactobacilli-colonized pigs. The dynamic γδ T cell responses suggest that γδ T cell subsets may play important roles in different stages of immune responses after rotavirus infection and probiotic colonization. The knowledge on the kinetics and distribution patterns of γδ T cell subsets in naïve pigs and after rotavirus infection or lactobacilli colonization provides the foundation for further mechanistic studies of their functions.

Indexed as

AnimalsGerm-Free LifeIleumLactobacillusLymphocyte SubsetsProbioticsRotavirus InfectionsSpleenSwineSwine DiseasesTime Factors

Identifiers

PMID21489639
PMCPMC3090517
OpenAlexW2087802424

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.