2019
DOI: 10.3390/genes10110889
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Digital Immune Gene Expression Profiling Discriminates Allergic Rhinitis Responders from Non-Responders to Probiotic Supplementation

Abstract: Probiotic supplementation for eight weeks with a multi-strain probiotic by individuals with allergic rhinitis (AR) reduced overall symptom severity, the frequency of medication use and improved quality of life. The purported mechanism of action is modulation of the immune system. This analysis examined changes in systemic and mucosal immune gene expression in a subgroup of individuals, classified as either responders or non-responders based on improvement of AR symptoms in response to the probiotic supplement.… Show more

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Cited by 6 publications
(3 citation statements)
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“…Nanostring technology is widely used to study cancers [ 25 , 26 ] and autoinflammatory and autoimmune diseases [ 27 , 28 , 29 , 30 ]. It has also been deployed to dissect transcription profiles in other allergic diseases, including asthma [ 31 , 32 ] and allergic rhinitis [ 33 , 34 ]. To our knowledge, this proof-of-concept study is the first application of this technology to alpha-gal mammalian meat allergy, and food allergy in general.…”
Section: Discussionmentioning
confidence: 99%
“…Nanostring technology is widely used to study cancers [ 25 , 26 ] and autoinflammatory and autoimmune diseases [ 27 , 28 , 29 , 30 ]. It has also been deployed to dissect transcription profiles in other allergic diseases, including asthma [ 31 , 32 ] and allergic rhinitis [ 33 , 34 ]. To our knowledge, this proof-of-concept study is the first application of this technology to alpha-gal mammalian meat allergy, and food allergy in general.…”
Section: Discussionmentioning
confidence: 99%
“…RNA extraction and concentration along with analysis with the NanoString nCounter Human PanCancer Immune Profiling Assay were completed as previously described (60)(61)(62). Individual viral load values were compared using a repeated measures model with treatment group and visit/time point as fixed effect, and the interaction between study visit/time point and treatment group using a compound symmetry covariance structure.…”
Section: Rna Analyses (Fih Study)mentioning
confidence: 99%
“…The parameter estimates (least square means, estimated differences between the least squares means and the associated confidence intervals and p-values) at each visit/time point were calculated using REML method and the Kenward-Roger's method was used to determine the degrees of freedom. To account for multiple comparisons, the For RNA analyses, quality control and normalisation was undertaken utilising nSolver 4.0 (NanoString Technologies, WA, USA) with gene expression analysis completed using a combination of limma for differential gene expression (63) in the R computing environment (64), and nSolver 4.0 for pathway scoring (65) and cell type profiling (60)(61)(62). Raw gene expression data was normalised against a set of 6 positive and 6 negative controls to account for background noise and platform-associated variation.…”
Section: Statisticsmentioning
confidence: 99%