Asthma and obesity are two of the most common chronic conditions in children and adolescents. There is increasing evidence that sphingolipid metabolism is altered in childhood asthma and is linked to airway hyperreactivity. Dysregulated sphingolipid metabolism is also reported in obesity. However, the functional link between sphingolipid metabolism, asthma, and obesity is not completely understood. This paper describes the protocol of an ongoing study on sphingolipids that aims to examine the pathophysiology of sphingolipids in childhood asthma and obesity. In addition, this study aims to explore the novel biomarkers through a comprehensive multi-omics approach including genomics, genome-wide DNA methylation, RNA-Seq, microRNA (miRNA) profiling, lipidomics, metabolomics, and cytokine profiling. This is a cross-sectional study aiming to recruit 440 children from different groups: children with asthma and normal weight (n = 100), asthma with overweight or obesity (n = 100), overweight or obesity (n = 100), normal weight (n = 70), and siblings of asthmatic children with normal weight, overweight, or obesity (n = 70). These participants will be recruited from the pediatric pulmonology, pediatric endocrinology, and general pediatric outpatient clinics at Sidra Medicine, Doha, Qatar. Information will be obtained from self-reported questionnaires on asthma, quality of life, food frequency (FFQ), and a 3-day food diary that are completed by the children and their parents. Clinical measurements will include anthropometry, blood pressure, biochemistry, bioelectrical impedance, and pulmonary function tests. Blood samples will be obtained for sphingolipid analysis, serine palmitoyltransferase (SPT) assay, whole-genome sequencing (WGS), genome-wide DNA methylation study, RNA-Seq, miRNA profiling, metabolomics, lipidomics, and cytokine analysis. Group comparisons of continuous outcome variables will be carried out by a one-way analysis of variance or the Kruskal–Wallis test using an appropriate pairwise multiple comparison test. The chi-squared test or a Fisher’s exact test will be used to test the associations between categorical variables. Finally, multivariate analysis will be carried out to integrate the clinical data with multi-omics data. This study will help us to understand the role of dysregulated sphingolipid metabolism in obesity and asthma. In addition, the multi-omics data from the study will help to identify novel genetic and epigenetic signatures, inflammatory markers, and mechanistic pathways that link asthma and obesity in children. Furthermore, the integration of clinical and multi-omics data will help us to uncover the potential interactions between these diseases and to offer a new paradigm for the treatment of pediatric obesity-associated asthma.

Background and objective: The wingless-related integration site family (WNT) signaling pathway is critical for tumor progression and development. It is associated with various neoplasms produced by WNT pathway deregulation; WNT5A, a member of the WNT family, has been linked to carcinogenesis, exhibiting either oncogenic or tumor-suppressive effects. The study investigates how the gene affects certain types of cancer. The study aimed to evaluate the potential prognostic significance of WNT5A genes as diagnostic biomarkers for various types of cancer. Methodology: We investigated WNT5A gene expression in a pan-cancer analysis using various bioinformatics databases, including GEPIA (Gene Expression Profiling Interactive Analysis), TIMER2 (Tumor Immune Estimation Resource, Version 2), the University of Alabama at Birmingham Cancer Data Analysis Portal UACLAN databases, the Kaplan-Meier (K-M) plotter, cBioPortal, and Gene Set Cancer Analysis (GSCA). We aimed to gain insight into the expression of WNT5A in various tumors and its relationship with immune infiltration, overall survival, and genetic changes. Public datasets validated WNT5A expression in lung squamous cell carcinoma (LUSC) and stomach adenocarcinoma (STAD) samples. Results: WNT5A pan-cancer analysis was highly expressed in two cancer types, including STAD and LUSC. Additionally, TIMER results showed a positive association of WNT5A with immune cell infiltration in LUSC and STAD. Survival analysis indicated that LUSC cancer exhibits better overall survival, while STAD has lower overall survival levels, which means a poor prognosis in the STAD cancer type. Furthermore, mutation analysis revealed that the WNT5A gene was mutated in 1.4% of cases, with most alterations being deletions followed by amplifications. Conclusions: The WNT5A gene's high expression in many malignancies, including LUSC and STAD, suggests it could be used as a diagnostic biomarker. This study shows a relationship between WNT5A expression and immune cell abundance in LUSC and STAD. Our pan-cancer analysis of this gene is the first of its type, and it will inform future research, comprehensive investigation, and wet lab experiments.

A hands-on training workshop was devised with omics data used as source material to emulate reductionist investigation approaches. NUDT16, a member of the Nudix hydrolase family was selected as a candidate gene on the basis of: 1) it being upregulated in neutrophils exposed in vitro to serum of patients with sepsis, AND 2) the absence of overlap between the NUDT16 and sepsis, inflammation or neutrophil literature. We next sought to corroborate the initial finding in five public transcriptome sepsis datasets in which NUDT16 transcript levels were measured. In each of these dataset NUDT16 transcript abundance was found to be significantly increased in septic patients in vivo in comparison to uninfected controls. Next, biological concepts were extracted from the NUDT16 literature. The main concepts to emerge from profiling this literature were RNA decapping, inosine triphosphate, and inosine diphosphate. Through these concepts, indirect links could be established between NUDT16 and the sepsis/inflammation/neutrophil literature. A potential role for NUDT16 could, in turn, be inferred in the degradation of mRNAs in activated neutrophils. Follow on experiments that would be necessary in order to further explore such inference are discussed.