Minimally-invasive technology for personalized nutritional monitoring

用于个性化营养监测的微创技术

基本信息

  • 批准号:
    10693521
  • 负责人:
  • 金额:
    $ 65.9万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
  • 财政年份:
    2023
  • 资助国家:
    美国
  • 起止时间:
    2023-09-01 至 2028-08-31
  • 项目状态:
    未结题

项目摘要

Project Summary/Abstract Monitoring and optimizing dietary intake are important for precision nutrition in the treatment of clinical conditions (diabetes, obesity, kidney/liver failure, etc) as well as attenuating loss of muscle function and mass during aging. However, current methods for personal health monitoring do not provide reliable measurement of macronutrient intake or availability of metabolites after digestion. Thus, this project aims to address this gap by developing multi-analyte sensing devices based on an innovative combination of insertable optical reporters, wearable readers, and advanced computational methods. These devices will provide continuous/on-demand measurement of metabolites in interstitial fluid (ISF), then use those measures to predict macronutrient intake. The project is organized into three specific aims: Aim 1 will involve collecting blood samples and ISF samples (via microdialysis) from healthy human subjects consuming fresh meals and then using machine learning methods to establish a quantitative relationship between macronutrient intake and the resulting blood and ISF levels of metabolites. Fresh meals will be designed by the investigators to have three different levels of protein and carbohydrates. Data will be analyzed to establish quantitative relationships between compartmental concentrations, identifying proportionality coefficients and temporal lag/lead parameters, and develop machine- learning models to predict macronutrients in meals from the plasma and ISF concentrations of metabolites. Aim 2 will proceed in parallel with Aim 1, focusing on modifying current oxygen and glucose-sensing devices to measure amino acids. Extensive benchtop testing will be used to verify accuracy and precision of calibration based on fusion of sensor data streams. Aim 3 will then focus on deploying and testing a removable version of the multi-analyte sensing system in human subjects. Participants will be fitted with the sensors, a microdialysis catheter, and a continuous glucose monitor. Subjects will consume fresh meals as well as macronutrient- matched frozen meals, matched for contents, to verify that the system (sensors and algorithms) also work for meals that are more representative of the diet for many Americans, especially in low-income communities. The computational algorithms developed in Aim 1 will be used to predict macronutrient availability from sensor data as well as microdialysis. Sex, skin color, and health indicators (BMI, HbA1c, etc) will be factored into analyses to assess whether they substantially affect performance of instrumentation and algorithms. This project will bring together a team of biomedical engineers, computer scientists, and nutrition & metabolism researchers to develop instrumentation and collect data from human subjects that will yield: new knowledge and insight on the relationship between nutritional intake and systemic metabolite levels (Aim 1); advances in technology for sensing metabolites as nutritional biomarkers (Aim 2); evaluation of the sensing technology and computational models in diverse human subjects consuming common meals. (Aim 3). Success in this project will advance research on metabolism and support development of new approaches to personalized nutrition.
项目总结/文摘

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)

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Nicolaas E Deutz其他文献

Nicolaas E Deutz的其他文献

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{{ truncateString('Nicolaas E Deutz', 18)}}的其他基金

Nutritional modulation to minimize resistance exercise induced metabolic deregulations and improve training responsiveness in Chronic Obstructive Pulmonary Disease
营养调节可最大程度地减少阻力运动引起的代谢失调并提高慢性阻塞性肺疾病的训练反应能力
  • 批准号:
    10009819
  • 财政年份:
    2019
  • 资助金额:
    $ 65.9万
  • 项目类别:
TSQ Vantage Bundle with Acquity UltraPerformance LC
TSQ Vantage 套装与 Acquity UltraPerformance LC
  • 批准号:
    7794275
  • 财政年份:
    2010
  • 资助金额:
    $ 65.9万
  • 项目类别:
Optimal Amino Acid Nutrition in Sepsis
败血症的最佳氨基酸营养
  • 批准号:
    8059253
  • 财政年份:
    2010
  • 资助金额:
    $ 65.9万
  • 项目类别:
Eicosapentaenoic acid and protein modulation to induce anabolism in COPD
二十碳五烯酸和蛋白质调节诱导慢性阻塞性肺病的合成代谢
  • 批准号:
    8104012
  • 财政年份:
    2009
  • 资助金额:
    $ 65.9万
  • 项目类别:
Eicosapentaenoic acid and protein modulation to induce anabolism in COPD
二十碳五烯酸和蛋白质调节诱导慢性阻塞性肺病的合成代谢
  • 批准号:
    8298610
  • 财政年份:
    2009
  • 资助金额:
    $ 65.9万
  • 项目类别:
Eicosapentaenoic acid and protein modulation to induce anabolism in COPD
二十碳五烯酸和蛋白质调节诱导慢性阻塞性肺病的合成代谢
  • 批准号:
    7740483
  • 财政年份:
    2009
  • 资助金额:
    $ 65.9万
  • 项目类别:
Eicosapentaenoic acid and protein modulation to induce anabolism in COPD
二十碳五烯酸和蛋白质调节诱导慢性阻塞性肺病的合成代谢
  • 批准号:
    7908902
  • 财政年份:
    2009
  • 资助金额:
    $ 65.9万
  • 项目类别:
Optimal Amino Acid Nutrition in Sepsis
败血症的最佳氨基酸营养
  • 批准号:
    7744686
  • 财政年份:
    2008
  • 资助金额:
    $ 65.9万
  • 项目类别:
Optimal Amino Acid Nutrition in Sepsis
败血症的最佳氨基酸营养
  • 批准号:
    7993075
  • 财政年份:
    2008
  • 资助金额:
    $ 65.9万
  • 项目类别:
Optimal Amino Acid Nutrition in Sepsis
败血症的最佳氨基酸营养
  • 批准号:
    8257741
  • 财政年份:
    2008
  • 资助金额:
    $ 65.9万
  • 项目类别:

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激素治疗、绝经年龄、既往产次和 APOE 基因型会影响老年人的认知。
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