Evidence map›Paper›PMID 25856343›Full record

ArticlePloS one2015

T lymphocyte density and distribution in human colorectal mucosa, and inefficiency of current cell isolation protocols.

Gloria Cuevas Preza, Otto O Yang, Julie Elliott, Peter A Anton, Maria T Ochoa

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing 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

27 citing papers in PubMed, 39 citations in OpenAlex.

  1. Review
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  10. BioMed research international · 2022
    Review
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  19. TFrontiers in oncology · 2019
    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

5 authors at 3 institutions in 1 country.

Gloria Cuevas PrezaDepartment of Dermatology, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States of America.
Otto O YangDepartment of Medicine, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, United States of America; Department of Microbiology, Immunology, and Molecular Genetics, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, United States of America; UCLA AIDS Institute, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, United States of America; AIDS Healthcare Foundation, Los Angeles, CA, United States of America.
Julie ElliottDepartment of Medicine, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, United States of America; UCLA AIDS Institute, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, United States of America.
Peter A AntonDepartment of Medicine, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, United States of America; UCLA AIDS Institute, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, United States of America.
Maria T OchoaDepartment of Dermatology, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States of America.
University of California, Los Angeles · USUniversity of Southern California · USBlack AIDS Institute · US

Funding

LC: HIV Vaccine Trials NetworkUM1AI068618 · NIAID · FRED HUTCHINSON CANCER RESEARCH CENTER · PI Margaret Juliana McElrath · 2011 to 2026
$483.6M
HVTN Laboratory ProgramU01AI068618 · NIAID · FRED HUTCHINSON CANCER RESEARCH CENTER · PI MCELRATH, MARGARET JULIANA · 2006 to 2010
$82.6M
Virology CoreP30AI028697 · NIAID · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI ANTON, PETER A · 1991 to 2018
$39.9M
Regulatory compliance and human subjects safetyU19AI060614 · NIAID · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI ANTON, PETER A · 2004 to 2009
$19.1M
The mucosal immune system: effects of aging and chronic antigenic stimulationR01AG032422 · NIA · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI EFFROS, RITA BRICKMAN · 2009 to 2013
$5.0M
NIAID NIH HHS AI068618NIAID NIH HHS AI28697NIAID NIH HHS P30 AI028697NIAID NIH HHS U19 AI060614NIAID NIH HHS UM1 AI068618NIA NIH HHS R01 AG032422
6 · The paper itself

Abstract

Mucosal tissues are critical immune effector sites containing complex populations of leukocytes in a tissue microenvironment that remains incompletely understood. We identify and quantify in human distal colorectal tissue absolute mucosal CD3+ lymphocytes, including CD4+ and CD8+ subsets, by direct visualization using immunohistochemistry (IHC), immunofluorescence (IF), and an automated counting protocol (r2=0.90). Sigmoid and rectal mucosal tissues are both densely packed with T lymphocytes in the mucosal compartment. Both compartments had similar densities of CD3+ T lymphocytes with 37,400 ± 2,801 cells/mm3 and 33,700 ± 4,324 cell/mm3, respectively. Sigmoid mucosa contained 57% CD3+CD4+ and 40% CD3+CD8+ T lymphocytes which calculates to 21,300 ± 1,476/mm3 and 15,000 ± 275/mm3 T lymphocytes, respectively. Rectal mucosa had 57% CD3+CD4+ and 42% CD3+CD8+ or 21,577 ± 332, and 17,090 ± 1,206 cells/mm3, respectively. By comparison, sigmoid mucosal biopsies subjected to conventional collagenase digestion, mononuclear cell (MMC) isolation and staining for flow cytometry yielded 4,549 ± 381/mm3 and 2,708 ± 245/mm3 CD4+ and CD8+ T lymphocytes. These data suggest only ~20.7% recovery compared to IHC results for these markers. Further studies will determine if this reflects a selective bias in only CD3+, CD4+ and CD8+ T cells or can be generalized to all flow-analyzed cells from mucosal tissues for phenotyping and functional testing.

Indexed as

Cell CountCell SeparationFlow CytometryFluorescent Antibody TechniqueHumansImmunohistochemistryIntestinal MucosaIntestine, LargeT-Lymphocyte Subsets

Identifiers

PMID25856343
PMCPMC4391713
OpenAlexW1976329143

What OpenQuestion holds

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LicenceCC BY
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.