Development of a uniform, very aggressive disease phenotype in all homozygous carriers of the NOD2 mutation p.Leu1007fsX1008 with Crohn's disease and active smoking status resulting in ileal stenosis requiring surgery.


Journal

PloS one
ISSN: 1932-6203
Titre abrégé: PLoS One
Pays: United States
ID NLM: 101285081

Informations de publication

Date de publication:
2020
Historique:
received: 20 02 2020
accepted: 06 07 2020
entrez: 28 7 2020
pubmed: 28 7 2020
medline: 23 9 2020
Statut: epublish

Résumé

NOD2 variants are the strongest genetic predictors for susceptibility to Crohn's disease (CD). However, the clinical value of NOD2 on an individual patient level remains controversial. We aimed to define the predictive power of the major NOD2 mutations regarding complicated CD in a large single center cohort. 1076 CD patients were prospectively genotyped for the three common CD-associated NOD2 mutations rs2066844, rs2066845, and rs2066847, followed by detailed genotype-phenotype analyses. Overall, 434 CD patients (40.3%) carried at least one of the three main NOD2 mutations. A significantly higher minor allele frequency (15.6%) of the NOD2 frameshift mutation p.Leu1007fsX1008 (rs2066847) was seen in patients with aggressive disease compared to 8.2% in patients with mild disease (p = 2.6 x 10-5). Moreover, a total of 54 CD patients (5.0%) were homozygous for this NOD2 frameshift mutation. 100% of these patients had ileal disease compared to 82% of NOD2 wild-type carriers (p<0.0001). In homozygous carriers of the NOD2 frameshift mutation, 87% presented with ileal stenosis, 68.5% had fistulas, and 72.2% required CD-related surgery despite immunosuppressive therapy in 87% of these patients. All homozygous carriers of the 1007fs mutation who were active smokers had ileal stenosis and required CD-related surgery. Homozygosity for Leu1007fsX1008 is an excellent biomarker for predicting complicated CD on an individual patient level. Active smoking and homozygosity for this mutation is associated with a 100% risk for developing ileal stenosis requiring CD-related surgery. In these patients, smoking cessation and early initiation of immunosuppressive strategies may be beneficial.

Sections du résumé

BACKGROUND
NOD2 variants are the strongest genetic predictors for susceptibility to Crohn's disease (CD). However, the clinical value of NOD2 on an individual patient level remains controversial. We aimed to define the predictive power of the major NOD2 mutations regarding complicated CD in a large single center cohort.
METHODS
1076 CD patients were prospectively genotyped for the three common CD-associated NOD2 mutations rs2066844, rs2066845, and rs2066847, followed by detailed genotype-phenotype analyses.
RESULTS
Overall, 434 CD patients (40.3%) carried at least one of the three main NOD2 mutations. A significantly higher minor allele frequency (15.6%) of the NOD2 frameshift mutation p.Leu1007fsX1008 (rs2066847) was seen in patients with aggressive disease compared to 8.2% in patients with mild disease (p = 2.6 x 10-5). Moreover, a total of 54 CD patients (5.0%) were homozygous for this NOD2 frameshift mutation. 100% of these patients had ileal disease compared to 82% of NOD2 wild-type carriers (p<0.0001). In homozygous carriers of the NOD2 frameshift mutation, 87% presented with ileal stenosis, 68.5% had fistulas, and 72.2% required CD-related surgery despite immunosuppressive therapy in 87% of these patients. All homozygous carriers of the 1007fs mutation who were active smokers had ileal stenosis and required CD-related surgery.
CONCLUSION
Homozygosity for Leu1007fsX1008 is an excellent biomarker for predicting complicated CD on an individual patient level. Active smoking and homozygosity for this mutation is associated with a 100% risk for developing ileal stenosis requiring CD-related surgery. In these patients, smoking cessation and early initiation of immunosuppressive strategies may be beneficial.

Identifiants

pubmed: 32716958
doi: 10.1371/journal.pone.0236421
pii: PONE-D-20-02655
pmc: PMC7384669
doi:

Substances chimiques

Genetic Markers 0
NOD2 protein, human 0
Nod2 Signaling Adaptor Protein 0

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

e0236421

Déclaration de conflit d'intérêts

The authors have declared that no competing interests exist.

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Auteurs

Fabian Schnitzler (F)

Department of Medicine II-Grosshadern, Ludwig-Maximilians-University (LMU) Munich, Munich, Germany.

Matthias Friedrich (M)

Nuffield Department of Orthopaedics, Kennedy Institute of Rheumatology, Rheumatology and Musculoskeletal Sciences, University of Oxford, Oxford, United Kingdom.

Marianne Angelberger (M)

Department of Medicine II-Grosshadern, Ludwig-Maximilians-University (LMU) Munich, Munich, Germany.

Julia Diegelmann (J)

Department of Preventive Dentistry and Periodontology, LMU Munich, Munich, Germany.

Johannes Stallhofer (J)

Department of Medicine II-Grosshadern, Ludwig-Maximilians-University (LMU) Munich, Munich, Germany.
Department of Medicine IV, University Hospital, Friedrich-Schiller University, Jena, Germany.

Christiane Wolf (C)

Max-Planck-Institute of Psychiatry, Munich, Germany.

Joel Dütschler (J)

Department of Gastroenterology and Hepatology, Kantonsspital St. Gallen, St. Gallen, Switzerland.

Samuel Truniger (S)

Department of Gastroenterology and Hepatology, Kantonsspital St. Gallen, St. Gallen, Switzerland.

Torsten Olszak (T)

Department of Medicine II-Grosshadern, Ludwig-Maximilians-University (LMU) Munich, Munich, Germany.

Florian Beigel (F)

Department of Medicine II-Grosshadern, Ludwig-Maximilians-University (LMU) Munich, Munich, Germany.

Cornelia Tillack (C)

Department of Medicine II-Grosshadern, Ludwig-Maximilians-University (LMU) Munich, Munich, Germany.

Peter Lohse (P)

Institute of Laboratory Medicine and Human Genetics, Singen, Germany.

Stephan Brand (S)

Department of Medicine II-Grosshadern, Ludwig-Maximilians-University (LMU) Munich, Munich, Germany.
Department of Gastroenterology and Hepatology, Kantonsspital St. Gallen, St. Gallen, Switzerland.

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Classifications MeSH