PDF(Pubmed)
Abstract：
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.
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.
摘要：
口腔和肠道微生物均与食物过敏状态相关。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4至14岁疑似花生过敏的儿童接受了双盲检查，安慰剂对照食物对花生的挑战。那些对300毫克或更高剂量的花生有反应的儿童被归类为高阈值（HT），那些对低剂量反应的人被归类为低阈值（LT），那些没有反应的儿童被归类为非花生过敏（NPA）。攻击前收集的唾液和粪便样品进行DNA分离，然后进行16SrRNA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儿童唾液微生物组α-多样性（香农指数）较高（P=0.017）。我们确定了唾液和粪便微生物群，将HT儿童与LT儿童区分开来，包括口服VeillonellaNakazawae（扩增子序列变体1979），HT组比LT组更丰富（错误发现率[FDR]=0.025），和肠道拟杆菌（扩增子序列变体6829），HT儿童的丰度低于LT儿童(FDR=0.039)。与NPA儿童的比较显示，这些区分物种和反应阈值之间的顺序趋势一致。重要的是,许多这些阈值相关的物种也与各自身体部位的短链脂肪酸水平相关，包括口服中泽V和口服丁酸之间（r=0.57；FDR=0.049）。
这项多尺度研究的结果提高了微生物疗法增加食物过敏儿童反应阈值的可能性。
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4至14岁疑似花生过敏的儿童接受了双盲检查，安慰剂对照食物对花生的挑战。那些对300毫克或更高剂量的花生有反应的儿童被归类为高阈值（HT），那些对低剂量反应的人被归类为低阈值（LT），那些没有反应的儿童被归类为非花生过敏（NPA）。攻击前收集的唾液和粪便样品进行DNA分离，然后进行16SrRNA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儿童唾液微生物组α-多样性（香农指数）较高（P=0.017）。我们确定了唾液和粪便微生物群，将HT儿童与LT儿童区分开来，包括口服VeillonellaNakazawae（扩增子序列变体1979），HT组比LT组更丰富（错误发现率[FDR]=0.025），和肠道拟杆菌（扩增子序列变体6829），HT儿童的丰度低于LT儿童(FDR=0.039)。与NPA儿童的比较显示，这些区分物种和反应阈值之间的顺序趋势一致。重要的是,许多这些阈值相关的物种也与各自身体部位的短链脂肪酸水平相关，包括口服中泽V和口服丁酸之间（r=0.57；FDR=0.049）。
这项多尺度研究的结果提高了微生物疗法增加食物过敏儿童反应阈值的可能性。
