Nutritional and clinical predictors of intestinal maturation and feeding tolerance in the preterm infant

早产儿肠道成熟和喂养耐受性的营养和临床预测因素

基本信息

项目摘要

Project Summary/Abstract: In 2020, 10% of U.S. infants were born preterm and ~2%, or 60,000 infants, were born very preterm (VPI; <32 weeks PMA). VPI infants are at high risk for of substantial medical complications, including necrotizing enterocolitis (NEC). In VPI, advancing and maintaining nutritional support reduces disease risk and improves neurodevelopmental outcomes; however, up to 25% of preterm infants demonstrate feeding intolerance, which may be benign or may progress to NEC. However, precise measures and clinical tools that reliably differentiate benign, intestinal immaturity from life-threatening symptoms are lacking. Therefore, the overall objective of this application is to establish intestinal host and microbial biomarkers of intestinal function from an existing, longitudinal, prospective cohort of 400 analyzable VPI and to relate those biomarkers to the spectrum of intestinal function, from consistent enteral nutrition tolerance to intermittent intolerance to ischemic injury. For this purpose, we will utilize our novel non-invasive (exfoliated mucosal cell) methodology to simultaneously assess host- microbiome interactions in the VPI gut. Our central hypothesis is that the transgenomic cross-talk between intestinal mucosal cells and the fecal metagenome and metabolome will provide mechanistic insight into the spectrum of clinical presentations ranging from normal gut developmental biology to abnormal pathophysiology. Three specific aims will test our central hypothesis. Aim 1 will annotate the host exfoliated mucosal cell transcriptome and fecal bacterial metagenome and metabolome profiles to identify biomarkers for preterm infants who have consistent tolerance to enteral feeding or who are diagnosed with feeding intolerance. Aim 2 will annotate the host exfoliated mucosal cell transcriptome and fecal bacterial metagenome and metabolome profiles to identify biomarkers for preterm infants who are diagnosed with feeding intolerance compared to those who develop ischemia. Aim 3 will utilize machine learning algorithms to construct putative diet-health outcome driven Artificial Neural Networks (ANNs). Completion of these aims will provide the necessary data to develop predictive algorithms to enable identification of at-risk VPI who would benefit from precision medicine/nutrition guided interventions targeting specific risk factors.
项目概要/摘要: 2020年,10%的美国婴儿早产,约2%或60,000名婴儿极早产(VPI; <32 PMA周)。VPI婴儿是在高风险的实质性医疗并发症,包括坏死 小肠结肠炎(NEC)。在VPI中,推进和维持营养支持可降低疾病风险, 然而,高达25%的早产儿表现出喂养不耐受, 可能是良性的,也可能发展为NEC。然而,精确的测量和临床工具,可靠地区分 良性的、危及生命的肠道不成熟症状缺乏。因此,这一总体目标 本发明的应用是从现有的, 400例可分析VPI的纵向前瞻性队列,并将这些生物标志物与肠道疾病谱相关 功能,从一致的肠内营养耐受间歇性不耐受缺血性损伤。为此目的, 我们将利用我们的新的非侵入性(脱落的粘膜细胞)方法来同时评估宿主- VPI肠道中的微生物组相互作用。我们的中心假设是, 肠粘膜细胞和粪便宏基因组和代谢组将提供机制的见解, 从正常肠道发育生物学到异常病理生理学的临床表现谱。 三个具体目标将检验我们的中心假设。目的1将注释宿主脱落的粘膜细胞 转录组和粪便细菌宏基因组和代谢组谱,以鉴定早产儿的生物标志物 对肠道喂养有持续耐受性或被诊断为喂养不耐受的患者。目标2将 注释宿主脱落粘膜细胞转录组和粪便细菌宏基因组和代谢组 与那些被诊断为喂养不耐受的早产儿相比, 会出现局部缺血目标3将利用机器学习算法来构建推定的饮食健康结果 驱动的人工神经网络(ANN)。这些目标的完成将提供必要的数据, 预测算法,以识别将从精准医疗/营养中受益的风险VPI 针对具体风险因素的指导干预措施。

项目成果

期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)

数据更新时间:{{ journalArticles.updateTime }}

{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

数据更新时间:{{ journalArticles.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ monograph.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ sciAawards.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ conferencePapers.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ patent.updateTime }}

Robert Stephen Chapkin其他文献

Robert Stephen Chapkin的其他文献

{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

{{ truncateString('Robert Stephen Chapkin', 18)}}的其他基金

Targeting plasma membrane spatial dynamics to suppress aberrant Wnt signaling
靶向质膜空间动力学抑制异常的 Wnt 信号传导
  • 批准号:
    10047029
  • 财政年份:
    2020
  • 资助金额:
    $ 72.25万
  • 项目类别:
Targeting plasma membrane spatial dynamics to suppress aberrant Wnt signaling
靶向质膜空间动力学抑制异常的 Wnt 信号传导
  • 批准号:
    10401939
  • 财政年份:
    2020
  • 资助金额:
    $ 72.25万
  • 项目类别:
Diet and the colonic exfoliome: a novel, non-invasive approach to testing interventions in humans
饮食和结肠脱落组:一种测试人类干预措施的新型非侵入性方法
  • 批准号:
    10603601
  • 财政年份:
    2020
  • 资助金额:
    $ 72.25万
  • 项目类别:
Targeting plasma membrane spatial dynamics to suppress aberrant Wnt signaling
靶向质膜空间动力学抑制异常的 Wnt 信号传导
  • 批准号:
    10630909
  • 财政年份:
    2020
  • 资助金额:
    $ 72.25万
  • 项目类别:
Targeting plasma membrane spatial dynamics to suppress aberrant Wnt signaling
靶向质膜空间动力学抑制异常的 Wnt 信号传导
  • 批准号:
    10252842
  • 财政年份:
    2020
  • 资助金额:
    $ 72.25万
  • 项目类别:
Dietary Flavonoids-Microbiota-Ah Receptor Interactions in the Gut
肠道中膳食黄酮类化合物-微生物群-Ah 受体的相互作用
  • 批准号:
    9791345
  • 财政年份:
    2018
  • 资助金额:
    $ 72.25万
  • 项目类别:
Dietary Flavonoids-Microbiota-Ah Receptor Interactions in the Gut
肠道中膳食黄酮类化合物-微生物群-Ah 受体的相互作用
  • 批准号:
    10247052
  • 财政年份:
    2018
  • 资助金额:
    $ 72.25万
  • 项目类别:
Dietary and microbial predictors of childhood obesity risk
儿童肥胖风险的饮食和微生物预测因素
  • 批准号:
    9892995
  • 财政年份:
    2017
  • 资助金额:
    $ 72.25万
  • 项目类别:
Role of Aryl Hydrocarbon Receptor in Microbiota-Colon Stem Cell Interactions
芳基烃受体在微生物群-结肠干细胞相互作用中的作用
  • 批准号:
    9102325
  • 财政年份:
    2016
  • 资助金额:
    $ 72.25万
  • 项目类别:
Molecular basis for dietary chemoprevention
饮食化学预防的分子基础
  • 批准号:
    10348744
  • 财政年份:
    2016
  • 资助金额:
    $ 72.25万
  • 项目类别:

相似海外基金

RII Track-4:NSF: From the Ground Up to the Air Above Coastal Dunes: How Groundwater and Evaporation Affect the Mechanism of Wind Erosion
RII Track-4:NSF:从地面到沿海沙丘上方的空气:地下水和蒸发如何影响风蚀机制
  • 批准号:
    2327346
  • 财政年份:
    2024
  • 资助金额:
    $ 72.25万
  • 项目类别:
    Standard Grant
BRC-BIO: Establishing Astrangia poculata as a study system to understand how multi-partner symbiotic interactions affect pathogen response in cnidarians
BRC-BIO:建立 Astrangia poculata 作为研究系统,以了解多伙伴共生相互作用如何影响刺胞动物的病原体反应
  • 批准号:
    2312555
  • 财政年份:
    2024
  • 资助金额:
    $ 72.25万
  • 项目类别:
    Standard Grant
How Does Particle Material Properties Insoluble and Partially Soluble Affect Sensory Perception Of Fat based Products
不溶性和部分可溶的颗粒材料特性如何影响脂肪基产品的感官知觉
  • 批准号:
    BB/Z514391/1
  • 财政年份:
    2024
  • 资助金额:
    $ 72.25万
  • 项目类别:
    Training Grant
Graduating in Austerity: Do Welfare Cuts Affect the Career Path of University Students?
紧缩毕业:福利削减会影响大学生的职业道路吗?
  • 批准号:
    ES/Z502595/1
  • 财政年份:
    2024
  • 资助金额:
    $ 72.25万
  • 项目类别:
    Fellowship
感性個人差指標 Affect-X の構築とビスポークAIサービスの基盤確立
建立个人敏感度指数 Affect-X 并为定制人工智能服务奠定基础
  • 批准号:
    23K24936
  • 财政年份:
    2024
  • 资助金额:
    $ 72.25万
  • 项目类别:
    Grant-in-Aid for Scientific Research (B)
Insecure lives and the policy disconnect: How multiple insecurities affect Levelling Up and what joined-up policy can do to help
不安全的生活和政策脱节:多种不安全因素如何影响升级以及联合政策可以提供哪些帮助
  • 批准号:
    ES/Z000149/1
  • 财政年份:
    2024
  • 资助金额:
    $ 72.25万
  • 项目类别:
    Research Grant
How does metal binding affect the function of proteins targeted by a devastating pathogen of cereal crops?
金属结合如何影响谷类作物毁灭性病原体靶向的蛋白质的功能?
  • 批准号:
    2901648
  • 财政年份:
    2024
  • 资助金额:
    $ 72.25万
  • 项目类别:
    Studentship
ERI: Developing a Trust-supporting Design Framework with Affect for Human-AI Collaboration
ERI:开发一个支持信任的设计框架,影响人类与人工智能的协作
  • 批准号:
    2301846
  • 财政年份:
    2023
  • 资助金额:
    $ 72.25万
  • 项目类别:
    Standard Grant
Investigating how double-negative T cells affect anti-leukemic and GvHD-inducing activities of conventional T cells
研究双阴性 T 细胞如何影响传统 T 细胞的抗白血病和 GvHD 诱导活性
  • 批准号:
    488039
  • 财政年份:
    2023
  • 资助金额:
    $ 72.25万
  • 项目类别:
    Operating Grants
How motor impairments due to neurodegenerative diseases affect masticatory movements
神经退行性疾病引起的运动障碍如何影响咀嚼运动
  • 批准号:
    23K16076
  • 财政年份:
    2023
  • 资助金额:
    $ 72.25万
  • 项目类别:
    Grant-in-Aid for Early-Career Scientists
{{ showInfoDetail.title }}

作者:{{ showInfoDetail.author }}

知道了