Tree nut introduction in a peanut‐allergic child: To eat, to screen, or to avoid?

Author(s):  
Elissa M. Abrams ◽  
Scott H. Sicherer
Keyword(s):  
2021 ◽  
Vol 127 (5) ◽  
pp. S117
Author(s):  
S. Zhang - DUPLICATE ◽  
M. Baker

2021 ◽  
Vol 147 (2) ◽  
pp. AB109
Author(s):  
Stephen Gipson ◽  
Jacqueline Nesbit ◽  
Hsiaopo Cheng ◽  
Suzanne Teuber ◽  
Stephen Dreskin ◽  
...  
Keyword(s):  

2005 ◽  
Vol 115 (2) ◽  
pp. S40
Author(s):  
B.L. Cohen ◽  
S. Noone ◽  
A. Muñoz-Furlong ◽  
S.H. Sicherer

2019 ◽  
Vol 102 (5) ◽  
pp. 1263-1270 ◽  
Author(s):  
Weili Xiong ◽  
Melinda A McFarland ◽  
Cary Pirone ◽  
Christine H Parker

Abstract Background: To effectively safeguard the food-allergic population and support compliance with food-labeling regulations, the food industry and regulatory agencies require reliable methods for food allergen detection and quantification. MS-based detection of food allergens relies on the systematic identification of robust and selective target peptide markers. The selection of proteotypic peptide markers, however, relies on the availability of high-quality protein sequence information, a bottleneck for the analysis of many plant-based proteomes. Method: In this work, data were compiled for reference tree nut ingredients and evaluated using a parsimony-driven global proteomics workflow. Results: The utility of supplementing existing incomplete protein sequence databases with translated genomic sequencing data was evaluated for English walnut and provided enhanced selection of candidate peptide markers and differentiation between closely related species. Highlights: Future improvements of protein databases and release of genomics-derived sequences are expected to facilitate the development of robust and harmonized LC–tandem MS-based methods for food allergen detection.


1954 ◽  
Vol 45 (1) ◽  
pp. 121-122
Author(s):  
J.G.
Keyword(s):  

2011 ◽  
Vol 24 (2) ◽  
pp. 244-275 ◽  
Author(s):  
Bradley W. Bolling ◽  
C.-Y. Oliver Chen ◽  
Diane L. McKay ◽  
Jeffrey B. Blumberg

Tree nuts contain an array of phytochemicals including carotenoids, phenolic acids, phytosterols and polyphenolic compounds such as flavonoids, proanthocyanidins (PAC) and stilbenes, all of which are included in nutrient databases, as well as phytates, sphingolipids, alkylphenols and lignans, which are not. The phytochemical content of tree nuts can vary considerably by nut type, genotype, pre- and post-harvest conditions, as well as storage conditions. Genotype affects phenolic acids, flavonoids, stilbenes and phytosterols, but data are lacking for many other phytochemical classes. During the roasting process, tree nut isoflavones, flavanols and flavonols were found to be more resistant to heat than the anthocyanins, PAC and trans-resveratrol. The choice of solvents used for extracting polyphenols and phytosterols significantly affects their quantification, and studies validating these methods for tree nut phytochemicals are lacking. The phytochemicals found in tree nuts have been associated with antioxidant, anti-inflammatory, anti-proliferative, antiviral, chemopreventive and hypocholesterolaemic actions, all of which are known to affect the initiation and progression of several pathogenic processes. While tree nut phytochemicals are bioaccessible and bioavailable in humans, the number of intervention trials conducted to date is limited. The objectives of the present review are to summarise tree nut: (1) phytochemicals; (2) phytochemical content included in nutrient databases and current publications; (3) phytochemicals affected by pre- and post-harvest conditions and analytical methodology; and (4) bioactivity and health benefits in humans.


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