| Title |
Gene expression profiling in necrotizing enterocolitis reveals pathways common to those reported in Crohn’s disease
|
|---|---|
| Published in |
BMC Medical Genomics, January 2016
|
| DOI | 10.1186/s12920-016-0166-9 |
| Pubmed ID | |
| Authors |
Éric Tremblay, Marie-Pier Thibault, Emanuela Ferretti, Corentin Babakissa, Valérie Bertelle, Marcos Bettolli, Karolina Maria Burghardt, Jean-François Colombani, David Grynspan, Emile Levy, Peng Lu, Sandeep Mayer, Daniel Ménard, Olivier Mouterde, Ingrid B. Renes, Ernest G. Seidman, Jean-François Beaulieu |
| Abstract |
Necrotizing enterocolitis (NEC) is the most frequent life-threatening gastrointestinal disease experienced by premature infants in neonatal intensive care units. The challenge for neonatologists is to detect early clinical manifestations of NEC. One strategy would be to identify specific markers that could be used as early diagnostic tools to identify preterm infants most at risk of developing NEC or in the event of a diagnostic dilemma of suspected disease. As a first step in this direction, we sought to determine the specific gene expression profile of NEC. Deep sequencing (RNA-Seq) was used to establish the gene expression profiles in ileal samples obtained from preterm infants diagnosed with NEC and non-NEC conditions. Data were analyzed with Ingenuity Pathway Analysis and ToppCluster softwares. Data analysis indicated that the most significant functional pathways over-represented in NEC neonates were associated with immune functions, such as altered T and B cell signaling, B cell development, and the role of pattern recognition receptors for bacteria and viruses. Among the genes that were strongly modulated in neonates with NEC, we observed a significant degree of similarity when compared with those reported in Crohn's disease, a chronic inflammatory bowel disease. Gene expression profile analysis revealed a predominantly altered immune response in the intestine of NEC neonates. Moreover, comparative analysis between NEC and Crohn's disease gene expression repertoires revealed a surprisingly high degree of similarity between these two conditions suggesting a new avenue for identifying NEC biomarkers. |
X Demographics
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 20% |
| Australia | 1 | 20% |
| France | 1 | 20% |
| Unknown | 2 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 60% |
| Scientists | 1 | 20% |
| Practitioners (doctors, other healthcare professionals) | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 87 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | 2% |
| Unknown | 85 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 16 | 18% |
| Student > Ph. D. Student | 12 | 14% |
| Other | 6 | 7% |
| Student > Bachelor | 6 | 7% |
| Student > Postgraduate | 5 | 6% |
| Other | 18 | 21% |
| Unknown | 24 | 28% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 31 | 36% |
| Agricultural and Biological Sciences | 7 | 8% |
| Biochemistry, Genetics and Molecular Biology | 7 | 8% |
| Immunology and Microbiology | 4 | 5% |
| Nursing and Health Professions | 3 | 3% |
| Other | 8 | 9% |
| Unknown | 27 | 31% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 25 February 2016.
All research outputs
#14,600,874
of 25,374,917 outputs
Outputs from BMC Medical Genomics
#894
of 2,444 outputs
Outputs of similar age
#194,574
of 403,904 outputs
Outputs of similar age from BMC Medical Genomics
#18
of 39 outputs
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