Maintenance of Investigator's Static Global Assessment Response with Once-Daily Crisaborole in Participants with Mild to Moderate Atopic Dermatitis.

INTRODUCTION: Treatments for atopic dermatitis (AD) often fail to achieve lasting disease control. In the CrisADe CONTROL phase III study (ClinicalTrials.gov: NCT04040192), participants aged ≥ 3 months with mild to moderate AD treated with once-daily (QD) crisaborole, following initial treatment success with crisaborole twice daily (BID), had longer periods of flare-free maintenance, a higher number of flare-free days, and a lower number of flares compared with those who received vehicle. The study was an exploratory analysis of data on the maintenance of response per Investigator's Static Global Assessment (ISGA; ISGA score of 0 [clear] or 1 [almost clear]) during the CrisADe CONTROL study through week 52. METHODS: Exploratory endpoints were the time to ISGA response during the open-label run-in period, and the maintenance of ISGA response and the severity and duration of flares during the double-blind maintenance period. Outcomes were stratified by age (participants aged 3 months to < 12 years and ≥ 12 years) and duration of crisaborole BID treatment (< 4 weeks or ≥ 4 weeks) during the open-label run-in period. RESULTS: During the open-label run-in period, the median time to ISGA response was 41.5 days. From week 4 to week 52 of the double-blind maintenance period, the proportion of participants who maintained ISGA response was greater with crisaborole versus vehicle, and this difference was statistically significant up to week 36 (P < 0.05). Duration of flare periods during the maintenance period were 54.1 and 54.0 days for the vehicle and crisaborole-treated groups, respectively. Numerically fewer crisaborole-treated participants experienced a flare with an ISGA score of ≥ 2 compared with vehicle-treated participants (64.8% vs. 74.4%, respectively). Findings were comparable across most subgroups. CONCLUSIONS: Adult and pediatric participants with mild to moderate AD at baseline who had achieved responder criteria (treatment success) with crisaborole BID during the run-in period maintained response per ISGA with crisaborole QD during the double-blind maintenance period through week 52. TRIAL REGISTRATION: ClinicalTrials.gov: NCT04040192.

Atopic dermatitis is a skin disease that causes itchy, red, and dry patches of skin that can affect a person for a long time. Current treatments for atopic dermatitis often fail to keep the symptoms under control. Some creams and ointments applied to the skin (known as topical treatments) can ease the discomfort of atopic dermatitis. Crisaborole is a steroid-free ointment that has been shown to improve symptoms of atopic dermatitis in clinical studies. In a study called the CrisADe CONTROL trial, crisaborole was tested to see if it can keep atopic dermatitis symptoms under control. People who participated in the study were aged 3 months and older and they had mild-to-moderate atopic dermatitis. Participants were asked to use crisaborole on their itchy, red, and dry skin twice daily for 8 weeks. Patients were called "responders" if their symptoms became nearly clear or completely clear based on a doctor's assessment called the Investigator's Static Global Assessment, which rates atopic dermatitis between clear to severe. Some responders were asked to use crisaborole once daily for 52 weeks and another group of responders was asked to use a control (an ointment with no medicine) once daily for 52 weeks. Investigators looked at how long the skin remained nearly clear or completely clear during the 52 weeks. Results of this study showed that after initial treatment success with crisaborole twice daily, adult and pediatric participants who had mild-to-moderate atopic dermatitis were able to keep their skin nearly clear or completely clear with crisaborole once daily.

Spatial gradient of bicoid is well explained by Birnbaum-Saunders distribution.

bicoid is a maternally transcribed gene which plays a pivotal role during the early developmental stage of Drosophila melanogaster by acting as an essential input to the segmentation network. Therefore, fundamental insights into gene cross-regulations of segmentation network expect to be unveiled by presenting an accurate mathematical model for bicoid gene expression profile. In this paper, an extended version of Birnbaum-Saunders with four parameters is introduced and evaluated to describe the spatial gradient of this gene. Theoretical aspects of four-parameter Birnbaum-Saunders and the estimated parameters are presented and thoroughly assessed for different embryos. The reliability and validity of the results are evaluated via both simulation studies and real data sets and thereby adding more confidence and value to the findings of this research.

Optimizing bicoid signal extraction.

Signal extraction and analysis is of great importance, not only in fields such as economics and meteorology, but also in genetics and even biomedicine. There exists a range of parametric and nonparametric techniques which can perform signal extractions. However, the aim of this paper is to define a new approach for optimising signal extraction from bicoid gene expression profile. Having studied both parametric and nonparametric signal extraction techniques, we identified the lack of specific criteria enabling users to select the optimal signal extraction parameters. Exploiting the expression profile of bicoid gene, which is a maternal segmentation coordinate gene found in Drosophila melanogaster, we introduce a new approach for optimising the signal extraction using a nonparametric technique. The underlying criteria are based on the distribution of the residual, more specifically its skewness.

Causality analysis detects the regulatory role of maternal effect genes in the early Drosophila embryo.

In developmental studies, inferring regulatory interactions of segmentation genetic network play a vital role in unveiling the mechanism of pattern formation. As such, there exists an opportune demand for theoretical developments and new mathematical models which can result in a more accurate illustration of this genetic network. Accordingly, this paper seeks to extract the meaningful regulatory role of the maternal effect genes using a variety of causality detection techniques and to explore whether these methods can suggest a new analytical view to the gene regulatory networks. We evaluate the use of three different powerful and widely-used models representing time and frequency domain Granger causality and convergent cross mapping technique with the results being thoroughly evaluated for statistical significance. Our findings show that the regulatory role of maternal effect genes is detectable in different time classes and thereby the method is applicable to infer the possible regulatory interactions present among the other genes of this network.

An enhanced version of Cochran-Armitage trend test for genome-wide association studies.

Genome-wide association studies the evaluation of association between candidate gene and disease status is widely carried out using Cochran-Armitage trend test. However, only a small number of research papers have evaluated the distribution of p-values for the Cochran-Armitage trend test. In this paper, an enhanced version of Cochran-Armitage trend test based on bootstrap approach is introduced. The achieved results confirm that the distribution of p-values of the proposed approach fits better to the uniform distribution, and it is thus concluded that the proposed method, which needs less assumptions in comparison with the conventional method, can be successfully used to test the genetic association.

A glance at the applications of Singular Spectrum Analysis in gene expression data.

In recent years Singular Spectrum Analysis (SSA) has been used to solve many biomedical issues and is currently accepted as a potential technique in quantitative genetics studies. Presented in this article is a review of recent published genetics studies which have taken advantage of SSA. Since Singular Value Decomposition (SVD) is an important stage of this technique which can also be used as an independent analytical method in gene expression data, we also briefly touch upon some areas of the application of SVD. The review finds that at present, the most prominent area of applying SSA in genetics is filtering and signal extraction, which proves that SSA can be considered as a valuable aid and promising method for genetics analysis.

Bicoid signal extraction with a selection of parametric and nonparametric signal processing techniques.

The maternal segmentation coordinate gene bicoid plays a significant role during Drosophila embryogenesis. The gradient of Bicoid, the protein encoded by this gene, determines most aspects of head and thorax development. This paper seeks to explore the applicability of a variety of signal processing techniques at extracting bicoid expression signal, and whether these methods can outperform the current model. We evaluate the use of six different powerful and widely-used models representing both parametric and nonparametric signal processing techniques to determine the most efficient method for signal extraction in bicoid. The results are evaluated using both real and simulated data. Our findings show that the Singular Spectrum Analysis technique proposed in this paper outperforms the synthesis diffusion degradation model for filtering the noisy protein profile of bicoid whilst the exponential smoothing technique was found to be the next best alternative followed by the autoregressive integrated moving average.