Evidence map›Paper›PMID 26075610›Full record

ArticlePloS one2015

Differentially Expressed Genes in EEC and LMS Syndromes.

Wei Yin, Yaling Song, Yangge Du, Zhuan Bian

Abstract 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 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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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

2 citing papers in PubMed.

  1. Article
  2. ADULT Phenotype and rs16864880 in theMolecular syndromology · 2017
    Article
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

4 authors.

Wei YinKey Laboratory of Oral Biomedical Engineering of the Ministry of Education, Hospital and School of Stomatology, Wuhan University, Wuhan, Hubei, China; Department of Endodontics & Periodontics, College of Stomatology, Dalian Medical University, Dalian, Liaoning, China.
Yaling SongKey Laboratory of Oral Biomedical Engineering of the Ministry of Education, Hospital and School of Stomatology, Wuhan University, Wuhan, Hubei, China.
Yangge DuSchool of Stomatology, Wuhan University, Wuhan, Hubei, China.
Zhuan BianKey Laboratory of Oral Biomedical Engineering of the Ministry of Education, Hospital and School of Stomatology, Wuhan University, Wuhan, Hubei, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesEctrodactyly ectodermal dysplasia cleft lip/palate (EEC) syndrome and limb-mammary syndrome (LMS) share a similar phenotype and the same pathogenic gene, which complicates the ability to distinguish between these diagnoses. The current study aims to identify a potential and practical clinical biomarker to distinguish EEC from LMS.

methodsTwo EEC pedigrees and one LMS pedigree that have been previously reported were reanalyzed. After confirmation of the causative mutations for these new patients, whole-genome expression microarray analysis was performed to assess the molecular genetic changes in these families.

resultsFive new patients with classic symptoms were reported, and these individuals exhibited the same mutation as their relatives (c.812 G>C; c.611G>A; and c.680G>A). According to the whole genome expression results, the EEC patients exhibited different gene expression characteristics compared with the LMS patients. More than 5,000 genes were differentially expressed (changes >2 or <0.5-fold) among the EEC patients, LMS patients and healthy individuals. The top three altered pathways have been implicated in apoptosis, the hematopoietic cell lineage and the Toll-like receptor signaling pathway.

conclusionOur results provide additional clinical and molecular information regarding EEC and LMS and suggest that peripheral blood cytokines may represent a promising clinical biomarker for the diagnosis of these syndromes.

Indexed as

Gene Expression RegulationGenetic Association StudiesAdultBreastChromosome MappingCleft LipCleft PalateCluster AnalysisEctodermal DysplasiaFemaleGene Expression ProfilingHumansLimb Deformities, CongenitalMaleMutationPedigree

Identifiers

PMID26075610
PMCPMC4468125

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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.