Evidence map›Paper›PMID 35020411›Full record

ArticleScience translational medicine2022

Deep immune phenotyping reveals similarities between aging, Down syndrome, and autoimmunity.

Katharina Lambert, Keagan G Moo, Azlann Arnett, Gautam Goel, Alex Hu, Kaitlin J Flynn, Cate Speake, Alice E Wiedeman, Vivian H Gersuk, Peter S Linsley and 5 more

Abstract read
In one paragraph

Article in Science translational medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed, 1 pooled it
–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

37 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

15 authors.

Katharina LambertCenter for Translational Immunology, Benaroya Research Institute at Virginia Mason, 1201 Ninth Avenue, Seattle, WA 98101, USA.ORCID 0000-0002-1998-0024
Keagan G MooCenter for Translational Immunology, Benaroya Research Institute at Virginia Mason, 1201 Ninth Avenue, Seattle, WA 98101, USA.ORCID 0000-0002-7806-785X
Azlann ArnettCenter for Translational Immunology, Benaroya Research Institute at Virginia Mason, 1201 Ninth Avenue, Seattle, WA 98101, USA.
Gautam GoelCenter for Systems Immunology, Benaroya Research Institute at Virginia Mason, 1201 Ninth Avenue, Seattle, WA 98101, USA.ORCID 0000-0002-0578-1497
Alex HuCenter for Systems Immunology, Benaroya Research Institute at Virginia Mason, 1201 Ninth Avenue, Seattle, WA 98101, USA.ORCID 0000-0001-6846-1776
Kaitlin J FlynnCenter for Systems Immunology, Benaroya Research Institute at Virginia Mason, 1201 Ninth Avenue, Seattle, WA 98101, USA.ORCID 0000-0002-8248-1631
Cate SpeakeCenter for Interventional Immunology, Benaroya Research Institute at Virginia Mason, 1201 Ninth Avenue, Seattle, WA 98101, USA.ORCID 0000-0003-1480-4272
Alice E WiedemanCenter for Translational Immunology, Benaroya Research Institute at Virginia Mason, 1201 Ninth Avenue, Seattle, WA 98101, USA.ORCID 0000-0001-7329-7288
Vivian H GersukCenter for Systems Immunology, Benaroya Research Institute at Virginia Mason, 1201 Ninth Avenue, Seattle, WA 98101, USA.ORCID 0000-0003-4123-9926
Peter S LinsleyCenter for Systems Immunology, Benaroya Research Institute at Virginia Mason, 1201 Ninth Avenue, Seattle, WA 98101, USA.ORCID 0000-0002-8960-4307
Carla J GreenbaumCenter for Interventional Immunology, Benaroya Research Institute at Virginia Mason, 1201 Ninth Avenue, Seattle, WA 98101, USA.ORCID 0000-0003-4451-9800
S Alice LongCenter for Translational Immunology, Benaroya Research Institute at Virginia Mason, 1201 Ninth Avenue, Seattle, WA 98101, USA.ORCID 0000-0002-0281-1240
Rebecca PartridgeCenter for Translational Immunology, Benaroya Research Institute at Virginia Mason, 1201 Ninth Avenue, Seattle, WA 98101, USA.ORCID 0000-0001-5614-3914
Jane H BucknerCenter for Translational Immunology, Benaroya Research Institute at Virginia Mason, 1201 Ninth Avenue, Seattle, WA 98101, USA.ORCID 0000-0002-9005-1885
Bernard KhorCenter for Translational Immunology, Benaroya Research Institute at Virginia Mason, 1201 Ninth Avenue, Seattle, WA 98101, USA.ORCID 0000-0003-4689-5092

Funding

Transform Dissemination and Implementation Science in CTSA ProgramsUL1TR002319 · NCATS · UNIVERSITY OF WASHINGTON · PI John K. Amory · 2017 to 2026
$100.0M
Mechanisms of IL-6 mediated T cell pathogenesis in autoimmunityR01AI132774 · NIAID · BENAROYA RESEARCH INST AT VIRGINIA MASON · PI BUCKNER, JANE HOYT · 2017 to 2020
$6.4M
NCATS NIH HHS UL1 TR002319NIAID NIH HHS R01 AI132774
6 · The paper itself

Abstract

Individuals with Down syndrome show cellular and clinical features of dysregulated aging of the immune system, including a shift from naïve to memory T cells and increased incidence of autoimmunity. However, a quantitative understanding of how various immune compartments change with age in Down syndrome remains lacking. Here, we performed deep immunophenotyping of a cohort of individuals with Down syndrome across the life span, selecting for autoimmunity-free individuals. We simultaneously interrogated age- and sex-matched healthy controls and people with type 1 diabetes as a representative autoimmune disease. We built an analytical software, IMPACD (Iterative Machine-assisted Permutational Analysis of Cytometry Data), that enabled us to rapidly identify many features of immune dysregulation in Down syndrome shared with other autoimmune diseases. We found quantitative and qualitative dysregulation of naïve CD4

Indexed as

Autoimmune DiseasesDiabetes Mellitus, Type 1Down SyndromeAgingAutoimmunityCD8-Positive T-LymphocytesHumansImmunophenotyping

Identifiers

PMID35020411
PMCPMC9312285

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.