Quantitative proteomics profiling of plasma from children with asthma

One panel with four single nucleotide polymorphisms for Chinese children with asthma: Integrating public data and whole exome sequencing

BACKGROUND

Polymorphisms in susceptibility genes are a major risk factor for the development of asthma. Understanding these genetic variants helps elucidate asthma's pathogenesis, predict its onset, expedite antiasthma medication development, and achieve precise targeted individualized treatment. This study developed a test kit based on susceptibility genes for predicting asthma in Chinese children.

METHODS

The present study constructed a VariantPro Targeted Library Preparation System with 72 single nucleotide polymorphism (SNP) loci associated with asthma from the ClinVar, OMIM, and SNPedia databases. These SNP loci were detected in the peripheral blood of 499 children with asthma and 500 healthy children. Significant differences were discovered for seven SNP loci. Simultaneously, whole exome sequencing of 46 children with asthma and 50 healthy children identified eight SNP loci with significant differences. The 15 SNP loci identified from Chinese children with asthma were validated in an independent population of 97 children with asthma and 93 healthy children by conducting multiplex polymerase chain reaction (PCR)-next-generation sequencing genotyping.

RESULTS

Four loci (rs12422149, rs7216389, rs4065275, and rs41453444) were identified, and a single-tube multifluorescent qPCR (real-time quantitative PCR) test kit was developed using these four SNP loci. The kit was tested on 269 children with asthma and 724 children with bronchopneumonia.

CONCLUSIONS

We identified four loci as susceptibility genes and developed a quantitative PCR test kit for predicting asthma development in Chinese children.

Immunobiological properties and structure analysis of group 13 allergen from Blomia tropicalis and its IgE-mediated cross-reactivity

Blomia tropicalis is an important species of allergenic mite. Structurally related cross-reactive allergens are involved in pathogenesis of clinical symptoms. The present study focused on recombinant allergen rBlo t 13 from B. tropicalis, including investigation of its structure, immunological properties, IgE-mediated cross-reactivity. In this work, the prokaryotic expression plasmids pET-28(a)-Blo t 13, pET-28(a)-Der f 13, and pET-28(a)-Tyr p 13 were constructed, transformed into E. coli Rosetta (DE3) pLysS, and purified by nickel affinity chromatography, respectively. By using ELISA, the IgE-binding rates were detected for rBlo t 13 and its epitope peptides, as well as the cross-reactivity among rBlo t 13, rDer f 13, and rTyr p 13. The tertiary structure of rBlo t 13 was resolved using X-ray diffraction at 2.0 Å resolution. Using IgE-ELISA, the IgE binding rate of rBlo t 13 was 60 % with Blomia tropicalis-positive sera. In the experiments of ELISA for cross-reactivity with rBlo t 13 on solid phase, the inhibition rates were 65 %, 57 % and 63 % for rBlo t 13, rDer f 13, and rTyr p 13, respectively. The structure of Blo t 13 protein contains a β-barrel structure which is composed of 10 β strands and has 2 α helices at the end of the barrel. Comparison of the tertiary structures of rBlo t 13, rDer f 13, and rTyr p 13 revealed that the β-barrel structure is highly conserved, consistent with the alignment of amino acid sequences. We obtained the recombinant protein rBlo t 13, demonstrated its cross-reactivity with Der f 13 and Tyr p 13 due to their structural similarity.

Lower myostatin and higher MUC1 levels are associated with better response to mepolizumab and omalizumab in asthma: a protein-protein interaction analyses

INTRODUCTION

Biomarkers are needed to inform the choice of biologic therapy in patients with asthma given the increasing number of biologics. We aimed to identify proteins associated with response to omalizumab and mepolizumab.

METHODS

Aptamer-based proteomic profiling (SomaScan) was used to assess 1437 proteins from 51 patients with moderate to severe asthma who received omalizumab (n = 29) or mepolizumab (n = 22). Response was defined as the change in asthma-related exacerbations in the 12 months following therapy initiation. All models were adjusted for age, sex, and pre-treatment exacerbation rate. Additionally, body mass index was included in the omalizumab model and eosinophil count in the mepolizumab model. We evaluated the association between molecular signatures and response using negative binomial regression correcting for the false discovery rate (FDR) and gene set enrichment analyses (GSEA) to identify associated pathways.

RESULTS

Over two-thirds of patients were female. The average age for omalizumab patients was 42 years and 57 years for mepolizumab. At baseline, the average exacerbation rate was 1.5/year for omalizumab and 2.4/year for mepolizumab. Lower levels of LOXL2 (unadjusted p: 1.93 × 10E-05, FDR-corrected: 0.028) and myostatin (unadjusted: 3.87 × 10E-05, FDR-corrected: 0.028) were associated with better response to mepolizumab. Higher levels of CD9 antigen (unadjusted: 5.30 × 10E-07, FDR-corrected: 0.0006) and MUC1 (unadjusted: 1.15 × 10E-06, FDR-corrected: 0.0006) were associated with better response to omalizumab, and LTB4R (unadjusted: 1.12 × 10E-06, FDR-corrected: 0.0006) with worse response. Protein-protein interaction network modeling showed an enrichment of the TNF- and NF-kB signaling pathways for patients treated with mepolizumab and multiple pathways involving MAPK, including the FcER1 pathway, for patients treated with omalizumab.

CONCLUSIONS

This study provides novel fundamental data on proteins associated with response to mepolizumab or omalizumab in severe asthma and warrants further validation as potential biomarkers for therapy selection.