• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

多组学生物标志物在食物过敏高危婴儿中的特征。

Multi-Omic Profiles in Infants at Risk for Food Reactions.

机构信息

Penn State Health Milton S Hershey Medical Center, Department of Pediatrics, Hershey, PA 17033, USA.

Department of Pediatrics, Penn State Health Children's Hospital, 500 University Drive, Hershey, PA 17033, USA.

出版信息

Genes (Basel). 2022 Nov 3;13(11):2024. doi: 10.3390/genes13112024.

DOI:10.3390/genes13112024
PMID:36360258
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9690066/
Abstract

Food reactions (FR) are multifactorial and impacted by medical, demographic, environmental, and immunologic factors. We hypothesized that multi-omic analyses of host-microbial factors in saliva would enhance our understanding of FR development. This longitudinal cohort study included 164 infants followed from birth through two years. The infants were identified as FR ( = 34) or non-FR ( = 130) using the Infant Feeding Practice II survey and medical record confirmation. Saliva was collected at six months for the multi-omic assessment of cytokines, mRNAs, microRNAs, and the microbiome/virome. The levels of one miRNA (miR-203b-3p, adj. = 0.043, V = 2913) and one viral phage (Proteus virus PM135, adj. = 0.027, V = 2955) were lower among infants that developed FRs. The levels of one bacterial phylum (Cyanobacteria, adj. = 0.048, V = 1515) were higher among infants that developed FR. Logistical regression models revealed that the addition of multi-omic features (miR-203b-3p, Cyanobacteria, and Proteus virus PM135) improved predictiveness for future FRs in infants ( = 0.005, X = 12.9), predicting FRs with 72% accuracy (AUC = 0.81, sensitivity = 72%, specificity = 72%). The multi-omic analysis of saliva may enhance the accurate identification of infants at risk of FRs and provide insights into the host/microbiome interactions that predispose certain infants to FRs.

摘要

食物反应(FR)是多因素的,受医学、人口统计学、环境和免疫学因素的影响。我们假设,对唾液中宿主-微生物因素的多组学分析将增强我们对 FR 发展的理解。这项纵向队列研究包括 164 名婴儿,从出生到两岁进行随访。通过使用婴儿喂养实践 II 调查和医疗记录确认,将婴儿确定为 FR(=34)或非 FR(=130)。在六个月时收集唾液,以进行细胞因子、mRNA、microRNA 和微生物组/病毒组的多组学评估。在发生 FR 的婴儿中,有一种 miRNA(miR-203b-3p,adj. =0.043,V=2913)和一种病毒噬菌体(Proteus 病毒 PM135,adj. =0.027,V=2955)的水平较低。在发生 FR 的婴儿中,有一种细菌门(蓝细菌,adj. =0.048,V=1515)的水平较高。逻辑回归模型显示,多组学特征(miR-203b-3p、蓝细菌和 Proteus 病毒 PM135)的加入提高了对未来 FR 婴儿的预测能力(=0.005,X=12.9),预测 FR 的准确率为 72%(AUC=0.81,敏感性=72%,特异性=72%)。唾液的多组学分析可能增强对 FR 风险婴儿的准确识别,并深入了解使某些婴儿易患 FR 的宿主/微生物组相互作用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b8db/9690066/9e5d25337219/genes-13-02024-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b8db/9690066/533bae99c10f/genes-13-02024-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b8db/9690066/c83a756b3ae2/genes-13-02024-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b8db/9690066/aa6d4cc80d72/genes-13-02024-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b8db/9690066/9e5d25337219/genes-13-02024-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b8db/9690066/533bae99c10f/genes-13-02024-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b8db/9690066/c83a756b3ae2/genes-13-02024-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b8db/9690066/aa6d4cc80d72/genes-13-02024-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b8db/9690066/9e5d25337219/genes-13-02024-g004.jpg

相似文献

1
Multi-Omic Profiles in Infants at Risk for Food Reactions.多组学生物标志物在食物过敏高危婴儿中的特征。
Genes (Basel). 2022 Nov 3;13(11):2024. doi: 10.3390/genes13112024.
2
Multi-omic factors associated with future wheezing in infants.与婴儿未来喘息相关的多组学因素。
Pediatr Res. 2023 Feb;93(3):579-585. doi: 10.1038/s41390-022-02318-y. Epub 2022 Sep 27.
3
Understanding immunological origins of atopic dermatitis through multi-omic analysis.通过多组学分析了解特应性皮炎的免疫学起源。
Pediatr Allergy Immunol. 2022 Jun;33(6):e13817. doi: 10.1111/pai.13817.
4
Multi-Omic Factors Associated with Frequency of Upper Respiratory Infections in Developing Infants.与发展中婴儿上呼吸道感染频率相关的多组学因素。
Int J Mol Sci. 2023 Jan 4;24(2):934. doi: 10.3390/ijms24020934.
5
The Association between Infant Colic and the Multi-Omic Composition of Human Milk.婴儿绞痛与人类母乳的多组学组成之间的关系。
Biomolecules. 2023 Mar 18;13(3):559. doi: 10.3390/biom13030559.
6
Infant Saliva Levels of microRNA miR-151a-3p Are Associated with Risk for Neurodevelopmental Delay.婴儿唾液中 microRNA miR-151a-3p 的水平与神经发育迟缓的风险相关。
Int J Mol Sci. 2023 Jan 12;24(2):1476. doi: 10.3390/ijms24021476.
7
Exosomal microRNA predicts and protects against severe bronchopulmonary dysplasia in extremely premature infants.外泌体 microRNA 可预测和预防极早产儿严重支气管肺发育不良。
JCI Insight. 2018 Mar 8;3(5):93994. doi: 10.1172/jci.insight.93994.
8
Multi-omics analysis reveals the influence of genetic and environmental risk factors on developing gut microbiota in infants at risk of celiac disease.多组学分析揭示了遗传和环境风险因素对乳糜泻高危婴儿肠道微生物群发育的影响。
Microbiome. 2020 Sep 11;8(1):130. doi: 10.1186/s40168-020-00906-w.
9
Active Image-Assisted Food Records in Comparison to Regular Food Records: A Validation Study against Doubly Labeled Water in 12-Month-Old Infants.主动图像辅助食物记录与常规食物记录的比较:对 12 个月大婴儿双标记水的验证研究。
Nutrients. 2018 Dec 4;10(12):1904. doi: 10.3390/nu10121904.
10
Demystifying Dysbiosis: Can the Gut Microbiome Promote Oral Tolerance Over IgE-mediated Food Allergy?解读肠道菌群失调:肠道微生物群能否促进对IgE介导的食物过敏的口服耐受?
Curr Pediatr Rev. 2018;14(3):156-163. doi: 10.2174/1573396314666180507120424.

引用本文的文献

1
Gut microbiome in the first 1000 days and risk for childhood food allergy.生命早期 1000 天的肠道微生物组与儿童食物过敏风险
Ann Allergy Asthma Immunol. 2024 Sep;133(3):252-261. doi: 10.1016/j.anai.2024.03.010. Epub 2024 Mar 16.
2
Infant Saliva Levels of microRNA miR-151a-3p Are Associated with Risk for Neurodevelopmental Delay.婴儿唾液中 microRNA miR-151a-3p 的水平与神经发育迟缓的风险相关。
Int J Mol Sci. 2023 Jan 12;24(2):1476. doi: 10.3390/ijms24021476.

本文引用的文献

1
New Research in Food Allergen Detection.食品过敏原检测的新研究。
Foods. 2022 May 23;11(10):1520. doi: 10.3390/foods11101520.
2
Interleukin-6 absence triggers intestinal microbiota dysbiosis and mucosal immunity in mice.白细胞介素-6缺失引发小鼠肠道微生物群失调和黏膜免疫。
Cytokine. 2022 May;153:155841. doi: 10.1016/j.cyto.2022.155841. Epub 2022 Mar 8.
3
Food Allergy and Intolerance: A Narrative Review on Nutritional Concerns.食物过敏与不耐受:营养关注点的叙述性综述。
Nutrients. 2021 May 13;13(5):1638. doi: 10.3390/nu13051638.
4
STAT6: A review of a signaling pathway implicated in various diseases with a special emphasis in its usefulness in pathology.STAT6:一条信号通路的综述,该信号通路与多种疾病相关,特别强调其在病理学中的有用性。
Pathol Res Pract. 2021 Jul;223:153477. doi: 10.1016/j.prp.2021.153477. Epub 2021 May 11.
5
Vitamin D and Microbiota: Is There a Link with Allergies?维生素 D 与微生物群:与过敏有关联吗?
Int J Mol Sci. 2021 Apr 20;22(8):4288. doi: 10.3390/ijms22084288.
6
The microbiome and its impact on food allergy and atopic dermatitis in children.微生物群及其对儿童食物过敏和特应性皮炎的影响。
Postepy Dermatol Alergol. 2020 Oct;37(5):641-650. doi: 10.5114/ada.2019.90120. Epub 2020 Nov 7.
7
MALT1 Protease Plays a Dual Role in the Allergic Response by Acting in Both Mast Cells and Endothelial Cells.MALT1 蛋白酶在肥大细胞和内皮细胞中均有作用,在过敏反应中发挥双重作用。
J Immunol. 2020 May 1;204(9):2337-2348. doi: 10.4049/jimmunol.1900281. Epub 2020 Mar 25.
8
Jak-Stat Signaling Induced by Interleukin-6 Family Cytokines in Hepatocellular Carcinoma.白细胞介素-6家族细胞因子在肝细胞癌中诱导的Jak-Stat信号传导
Cancers (Basel). 2019 Nov 1;11(11):1704. doi: 10.3390/cancers11111704.
9
Influences of Maternal Factors Over Offspring Allergies and the Application for Food Allergy.母体因素对后代过敏的影响及其在食物过敏中的应用。
Front Immunol. 2019 Aug 23;10:1933. doi: 10.3389/fimmu.2019.01933. eCollection 2019.
10
Genomic and Ecogenomic Characterization of Bacteriophages.噬菌体的基因组和生态基因组特征分析
Front Microbiol. 2019 Aug 6;10:1783. doi: 10.3389/fmicb.2019.01783. eCollection 2019.