Evidence map›Paper›PMID 25222269›Full record

ArticlePloS one2014

Altered expression of immune-related genes in children with Down syndrome.

Bruna Lancia Zampieri, Joice Matos Biselli-Périco, Jorge Estefano Santana de Souza, Matheus Carvalho Bürger, Wilson Araújo Silva Júnior, Eny Maria Goloni-Bertollo, Erika Cristina Pavarino

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
2.6field-weighted citation impact, top 11% 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

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 28 citations in OpenAlex.

  1. Pooled it
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  6. Congenital Heart Disease: An Immunological Perspective.Frontiers in cardiovascular medicine · 2021
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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

7 authors at 3 institutions in 1 country.

Bruna Lancia ZampieriUnidade de Pesquisa em Genética e Biologia Molecular, Departamento de Biologia Molecular, Faculdade de Medicina de São José do Rio Preto (FAMERP), São José do Rio Preto, São Paulo, Brazil.
Joice Matos Biselli-PéricoUnidade de Pesquisa em Genética e Biologia Molecular, Departamento de Biologia Molecular, Faculdade de Medicina de São José do Rio Preto (FAMERP), São José do Rio Preto, São Paulo, Brazil.
Jorge Estefano Santana de SouzaDepartment of Genetics and, Ribeirão Preto Medical School University of São Paulo, São Paulo, Brazil; Institute of Bioinformatics and Biotechnology (2bio), São Paulo, Brazil; National Institute of Science and Technology in Stem Cell and Cell Therapy and Center For Cell Based Therapy, Ribeirao Preto, São Paulo, Brazil.
Matheus Carvalho BürgerDepartment of Genetics and, Ribeirão Preto Medical School University of São Paulo, São Paulo, Brazil; Institute of Bioinformatics and Biotechnology (2bio), São Paulo, Brazil; National Institute of Science and Technology in Stem Cell and Cell Therapy and Center For Cell Based Therapy, Ribeirao Preto, São Paulo, Brazil.
Wilson Araújo Silva JúniorDepartment of Genetics and, Ribeirão Preto Medical School University of São Paulo, São Paulo, Brazil; National Institute of Science and Technology in Stem Cell and Cell Therapy and Center For Cell Based Therapy, Ribeirao Preto, São Paulo, Brazil.
Eny Maria Goloni-BertolloUnidade de Pesquisa em Genética e Biologia Molecular, Departamento de Biologia Molecular, Faculdade de Medicina de São José do Rio Preto (FAMERP), São José do Rio Preto, São Paulo, Brazil.
Erika Cristina PavarinoUnidade de Pesquisa em Genética e Biologia Molecular, Departamento de Biologia Molecular, Faculdade de Medicina de São José do Rio Preto (FAMERP), São José do Rio Preto, São Paulo, Brazil.
Faculdade de Medicina de São José do Rio Preto · BRUniversidade de São Paulo · BRCentro de Excelência em Bioinformática · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Individuals with Down syndrome (DS) have a high incidence of immunological alterations with increased susceptibility to bacterial and viral infections and high frequency of different types of hematologic malignancies and autoimmune disorders. In the current study, we profiled the expression pattern of 92 immune-related genes in peripheral blood mononuclear cells (PBMCs) of two different groups, children with DS and control children, to identify differentially expressed genes that might be of pathogenetic importance for the development and phenotype of the immunological alterations observed in individuals with DS. PBMCs samples were obtained from six DS individuals with karyotypically confirmed full trisomy 21 and six healthy control individuals (ages 2-6 years). Gene expression was profiled in duplicate according to the manufacturer's instructions provided by commercially available TaqMan Human Immune Array representing 92 immune function genes and four reference genes on a 96-plex gene card. A set of 17 differentially expressed genes, not located on chromosome 21 (HSA21), involved in immune and inflammatory pathways was identified including 13 genes (BCL2, CCL3, CCR7, CD19, CD28, CD40, CD40LG, CD80, EDN1, IKBKB, IL6, NOS2 and SKI) significantly down-regulated and four genes (BCL2L1, CCR2, CCR5 and IL10) significantly up-regulated in children with DS. These findings highlight a list of candidate genes for further investigation into the molecular mechanism underlying DS pathology and reinforce the secondary effects of the presence of a third copy of HSA21.

Indexed as

ChildChild, PreschoolChromosomes, Human, Pair 21Down SyndromeFemaleHumansMaleTranscriptome

Identifiers

PMID25222269
PMCPMC4164533
OpenAlexW1981045717

What OpenQuestion holds

Textmetadata
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.