Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY.
Division of Clinical Immunology, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY.
J Allergy Clin Immunol. 2022 Sep;150(3):714-720.e2. doi: 10.1016/j.jaci.2022.04.026. Epub 2022 May 10.
The oral and gut microbiomes have each been associated with food allergy status. Within food allergy, they may also influence reaction thresholds.
Our aim was to identify oral and gut microbiota associated with reaction thresholds in peanut allergy.
A total of 59 children aged 4 to 14 years with suspected peanut allergy underwent double-blind, placebo-controlled food challenge to peanut. Those children who reacted at the 300-mg or higher dose of peanut were classified as high-threshold (HT), those who reacted to lower doses were classified as low-threshold (LT), and those children who did not react were classified as not peanut allergic (NPA). Saliva and stool samples collected before challenge underwent DNA isolation followed by 16S rRNA sequencing and short-chain fatty acid measurement.
The 59 participants included 38 HT children and 13 LT children. Saliva microbiome α-diversity (Shannon index) was higher in LT children (P = .017). We identified saliva and stool microbiota that distinguished HT children from LT children, including oral Veillonella nakazawae (amplicon sequence variant 1979), which was more abundant in the HT group than in the LT group (false discovery rate [FDR] = 0.025), and gut Bacteroides thetaiotaomicron (amplicon sequence variant 6829), which was less abundant in HT children than in LT children (FDR = 0.039). Comparison with NPA children revealed consistent ordinal trends between these discriminating species and reaction thresholds. Importantly, many of these threshold-associated species were also correlated with short-chain fatty acid levels at the respective body sites, including between oral V nakazawae and oral butyrate (r = 0.57; FDR = 0.049).
Findings from this multiscale study raise the possibility of microbial therapeutics to increase reaction thresholds in children with food allergy.
口腔和肠道微生物群都与食物过敏状态有关。在食物过敏中,它们也可能影响反应阈值。
我们的目的是确定与花生过敏反应阈值相关的口腔和肠道微生物群。
共有 59 名年龄在 4 至 14 岁之间的疑似花生过敏的儿童接受了双盲、安慰剂对照的花生食物挑战。那些在 300 毫克或更高剂量的花生中反应的儿童被归类为高阈值(HT),那些在较低剂量下反应的儿童被归类为低阈值(LT),那些没有反应的儿童被归类为非花生过敏(NPA)。在挑战前采集唾液和粪便样本,进行 DNA 分离,然后进行 16S rRNA 测序和短链脂肪酸测量。
59 名参与者包括 38 名 HT 儿童和 13 名 LT 儿童。LT 儿童的唾液微生物组 α 多样性(Shannon 指数)更高(P =.017)。我们确定了区分 HT 儿童和 LT 儿童的唾液和粪便微生物群,包括口腔韦荣球菌(丰度更高的扩增子序列变异体 1979,在 HT 组中比 LT 组更丰富,假发现率 [FDR] = 0.025)和肠道拟杆菌(丰度更低的扩增子序列变异体 6829,在 HT 儿童中比 LT 儿童更少,FDR = 0.039)。与 NPA 儿童的比较显示,这些具有判别力的物种与反应阈值之间存在一致的顺序趋势。重要的是,许多与这些阈值相关的物种也与相应身体部位的短链脂肪酸水平相关,包括口腔 Vnakazawae 和口腔丁酸盐之间(r = 0.57;FDR = 0.049)。
这项多尺度研究的结果提出了微生物治疗的可能性,以增加食物过敏儿童的反应阈值。