timothy grass pollen
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2021 ◽  
Vol Volume 14 ◽  
pp. 1431-1439
Author(s):  
Yingyang Xu ◽  
Kai Guan ◽  
Li Sha ◽  
Jinghong Zhang ◽  
Yongliang Niu ◽  
...  

QJM ◽  
2021 ◽  
Vol 114 (Supplement_1) ◽  
Author(s):  
Elham M Hossny ◽  
Hanan M Abd El-Lateef ◽  
Hadeer FM Salama

Abstract Background Grass pollens are significant elicitors of IgE-mediated allergic disease in the world and timothy grass (Phleum pratense) is an important pollen in allergy induction. Objective We sought to determine the rate of pollen sensitization in group of Egyptian asthmatic children with allergic rhinitis using timothy grass pollen as a potential triggering factor for allergic rhinitis. Patients and Methods This analytical cross sectional study was conducted on a group of preschool children following up at the Pediatric Allergy and Immunology Clinic, Children's Hospital, Ain Shams University during the period from December 2018 to April 2019. We enrolled 52 asthmatic children with concomitant allergic rhinitis sampled in a consecutive manner. They were subjected to skin prick testing for timothy grass pollen, positive histamine control and negative control. Results The study revealed high frequency of timothy grass pollen(TGP) sensitization occurring in 60.3% of patients with concomitant allergic rhinitis .wheal diameters pointed to sensitization only rather than actual allergy to TGP. TGP sensitization showed no significant correlation to disease duration. Children with rhinosinsuitis had comparable rates of TGP sensitization to those without rhinosinsuitis. Conclusion It is concluded from our results that sensitization to timothy grass pollen (TGP) is common in allergic rhinitis. The findings are limited by the sample size and consecutive manner of sampling. Wider scale studies are needed to accurately evaluate the frequency of timothy grass pollen (TGP) sensitization in our country.


2021 ◽  
Vol 42 (1) ◽  
pp. 36-42 ◽  
Author(s):  
Yuriy Bisyuk ◽  
Ilona DuBuske ◽  
Lawrence M. DuBuske

The latest evidence on the mechanisms, efficacy, and safety of sublingual immunotherapy (SLIT) was reviewed. Interleukin (IL) 35 and IL-35‐producing regulatory T cells were assessed as new biomarkers for SLIT responsiveness. A detailed analysis of clinical studies, including timothy grass pollen, 5-grass pollen, ragweed, and house-dust mite SLIT tablets, was provided, including a comparative analysis of efficacy and safety of SLIT versus subcutaneous immunotherapy.


2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Marina Kalli ◽  
Andrew Blok ◽  
Long Jiang ◽  
Nichola Starr ◽  
Marcos J. C. Alcocer ◽  
...  

Abstract Protein microarrays have been successfully used for detection of allergen-specific IgE in patient sera. Here, we demonstrate proof-of-concept of a solid-phase technique coupling the high-throughput potential of protein microarrays with the biologically relevant readout provided by IgE reporter cells, creating a novel allergic sensitization detection system. Three proteins (κ-casein, timothy grass pollen extract, polyclonal anti-human IgE) were printed onto three different polymer-coated surfaces (aldehyde-, epoxy- and NHS ester-coated). ToF–SIMs analysis was performed to assess printed protein stability and retention during washing steps. NFAT-DsRed rat basophil leukemia cell attachment and retention during washing steps was assessed after treatment with various extracellular matrix proteins. NFAT-DsRed IgE reporter cells were sensitized with serum of an allergic donor, incubated on the printed slides, and cell activation determined using a microarray laser scanner. NFAT DsRed IgE reporter cell binding was significantly increased on all polymer surfaces after incubation with fibronectin and vitronectin, but not collagen or laminin. All surfaces supported printed protein stability during washing procedure, with epoxy- and NHS ester-coated surfaces showing best protein retention. Cell activation was significantly higher in NHS ester-coated slides after timothy grass pollen extract stimulation appearing a suitable substrate for further development of an automated allergy diagnosis system.


Allergy ◽  
2020 ◽  
Author(s):  
Aarif O. Eifan ◽  
Alexandra Fedina ◽  
Stephen R. Durham ◽  
Guy W. Scadding

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