CCN proteins as potential actionable targets in scleroderma

Experimental Dermatology, Volume 0, Issue ja, -Not available-.


https://ift.tt/2CnxdjU

Vitiligo surgery: a journey from tissues via cells to the stems!

Experimental Dermatology, Volume 0, Issue ja, -Not available-.


https://ift.tt/2CQuQqz

The role of phosphodiesterase 4 in the pathophysiology of atopic dermatitis and the perspective for its inhibition

Experimental Dermatology, Volume 0, Issue ja, -Not available-.


https://ift.tt/2CpfyIv

Definition of psoriasis severity in routine clinical care: current guidelines fail to capture the complexity of long‐term psoriasis management

British Journal of Dermatology, EarlyView.


https://ift.tt/2PFWGbQ

Efficacy and safety of brodalumab in patients with psoriasis who had inadequate responses to ustekinumab: subgroup analysis of two randomized phase 3 trials

British Journal of Dermatology, Volume 0, Issue ja, -Not available-.


https://ift.tt/2P6bK5E

5‐aminolevulinic acid nanoemulsion (BF‐200 ALA) is more effective than methyl‐5‐aminolevulinate (MAL) in daylight photodynamic therapy for actinic keratosis: A non‐sponsored randomized double‐blind multicentre trial

British Journal of Dermatology, Volume 0, Issue ja, -Not available-.


https://ift.tt/2PG6rqK

Disturbed ribosome-related modules were associated with Kawasaki disease

OBJECTIVE: Kawasaki disease (KD) is an acute vasculitis in young children, with ambiguous etiology. Early diagnosis will decrease the risk of coronary artery aneurysms and contributes to the favourable prognosis. This work aimed to identify disease modules that accurately predict clinical outcome using a systemic module tracking method.

PATIENTS AND METHODS: Based on the transcriptional data and protein-protein interaction (PPI) data, we constructed the differential co-expression network for KD. Then, a systemic module tracking method was performed to extract KD-related modules that accurately predict clinical outcome from the differential co-expression network, according to two steps: key genes identification and module inference by key gene expansion.

RESULTS: 16 key genes were identified based on their importance in differential co-expression network and most of them were ribosomal protein-related genes. With each key gene as initial gene, we identified 10 disease modules with high predictive accuracy. Function analysis found that these disease modules were related to one common pathway-ribosome pathway.

CONCLUSIONS: Our study for the first time indicated that disturbed ribosome-related disease modules might contribute to the development of KD. These modules could be considered as novel contributors to the progression of KD, and potential diagnostic biomarkers for predicting the clinical outcome.

L'articolo Disturbed ribosome-related modules were associated with Kawasaki disease sembra essere il primo su European Review.

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