Anti-apoptotic genes and non-coding RNAs are potential outcome predictors for ulcerative colitis
Permanent lenke
https://hdl.handle.net/10037/30661Dato
2023-05-18Type
Journal articleTidsskriftartikkel
Peer reviewed
Forfatter
Meng, Wei; Johnsen, Kay-Martin; Fenton, Christopher Graham; Florholmen, Jon; Paulssen, Ruth HSammendrag
Due to the lack of clinical, immunologic, genetic, and laboratory markers to predict remission in ulcerative colitis (UC)
without relapse, there is no clear recommendation regarding withdrawal of therapy. Therefore, this study was to investigate
if transcriptional analysis together with Cox survival analysis might be able to reveal molecular markers that are specific for
remission duration and outcome. Mucosal biopsies from patients in remission with active treatment-naïve UC and healthy
control subjects underwent whole-transcriptome RNA-seq. Principal component analysis (PCA) and Cox proportional hazards regression analysis were applied to the remission data concerning duration and status of patients. A randomly chosen
remission sample set was used for validation of the applied methods and results. The analyses distinguished two different
UC remission patient groups with respect to remission duration and outcome (relapse). Both groups showed that altered
states of UC with quiescent microscopic disease activity are still present. The patient group with the longest remission duration and no relapse revealed specific and increased expression of antiapoptotic factors belonging to the MTRNR2-like gene
family and non-coding RNAs. In summary, the expression of anti-apoptotic factors and non-coding RNAs may contribute
to personalized medicine approaches in UC by improving patient stratification for different treatment regimens.
Er en del av
Weng, M. (2025). Novel Molecular Characteristics of Ulcerative Colitis. (Doctoral thesis). https://hdl.handle.net/10037/36055Forlag
Springer NatureSitering
Meng W, Johnsen K, Fenton CG, Florholmen J, Paulssen RH. Anti-apoptotic genes and non-coding RNAs are potential outcome predictors for ulcerative colitis. Functional & Integrative Genomics. 2023;23(2)Metadata
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