Thermal conductivity and diffusivity of human cells as biomarkers in early-stage ovarian cancer detection

人体细胞的热导率和扩散率作为早期卵巢癌检测的生物标志物

• 批准号: 1906553
• 负责人: Tae-Youl Choi
• 金额: $ 36万
• 依托单位: University of North Texas
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2019
• 资助国家: 美国
• 起止时间: 2019-06-01 至 2023-05-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1906553&HistoricalAwards=false
• 关键词: Thermal; conductivity; diffusivity; human; cells

Currently, there is no reliable test for early diagnosis of first time or recurrent epithelial ovarian cancers. This project will develop a new technique of micropipette thermography, which, if successful, will lead to new insights into mechanisms of cancer progression, early cancer detection, and early cancer diagnosis. This research proposes that specific cell types possess characteristic responses to heat that can be used to identify the cell type. Characterization of this property may introduce a new class of cellular thermal markers for normal or diseased cells. Significant broader impacts included the training and mentorship of graduate, undergraduate and high school students in thermal sciences. This will occur through hands-on learning experiences in the nano and bioengineering program that will combine approaches from different fields of study to reveal information about a life process.The current project objectives are: (1) to determine the thermal characterization profiles of a cell line panel of serous epithelial ovarian cancer progression. A 3D model of epithelial ovarian cancer will be prepared as a test bed. Microsensors and the accompanying technical method for both the thermal conductivity and thermal diffusivity from previous published work will be used on clinically relevant serous epithelial ovarian cancer cell lines; (2) to correlate the thermal characterization profile with the proliferation characterization profile as a Transition Prediction Model in epithelial ovarian cancer. Subsequent analysis of the thermal-probed cells will use fluorescence analysis to determine resazurin-detected proliferation. A linear regression analysis will be performed to determine whether the profiles for thermal characterization along with proliferation characterization are correlated with cancer transition. It is noted that novel thermal properties could supersede the current paradigm which emphasizes the reliance on extensive genomic and proteomic analyses. Moreover, the added value of this project is the identification of (and continued inquiry to understand) cellular inherent thermal properties. The technology and method, if successful, will allow for a non-invasive tool, faster diagnosis of epithelial ovarian cancer with expedited next step bio-specimen determinations for early validation of the method and technology. Indeed, this empirical study of thermodynamics cell properties will advance recently proposed theories of heat transfer roles in metabolic reprogramming, bioenergetics, and oxidation-reduction metabolism status in cancer cell survival. This kind of novel discovery will open doors for new therapies. Furthermore, future real-time diagnosis at the location of the cells in question, when combined with laparoscopy, may result in early detection and diagnosis. This technology ostensibly will extend to other circulating blood tumors and disease models, providing for future advancements in cancer detection and therapy solutions. Underrepresented students will be the first-choice recruits through the University of North Texas McNair Scholars Program, National Science Foundation Research Experience for Undergraduates program. Texas Academy of Mathematics and Sciences high school program will also be included.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

目前，尚无可靠的检测方法可用于首次或复发性上皮性卵巢癌的早期诊断。该项目将开发一种微移液热成像新技术，如果成功，将带来对癌症进展机制、早期癌症检测和早期癌症诊断的新见解。 这项研究提出，特定的细胞类型具有对热的特征反应，可用于识别细胞类型。这一特性的表征可能会为正常或患病细胞引入一类新的细胞热标记物。更广泛的重大影响包括对研究生、本科生和高中生进行热科学方面的培训和指导。这将通过纳米和生物工程项目的实践学习经验来实现，该项目将结合不同研究领域的方法来揭示有关生命过程的信息。当前项目的目标是：（1）确定细胞的热特性曲线浆液性上皮性卵巢癌进展的线组。将准备上皮性卵巢癌的 3D 模型作为试验台。先前发表的工作中的微传感器和随附的热导率和热扩散率技术方法将用于临床相关的浆液性上皮性卵巢癌细胞系； (2) 将热特征曲线与增殖特征曲线相关联，作为上皮性卵巢癌的转变预测模型。对热探测细胞的后续分析将使用荧光分析来确定刃天青检测到的增殖。将进行线性回归分析以确定热表征和增殖表征的概况是否与癌症转变相关。值得注意的是，新颖的热特性可能会取代当前强调依赖广泛的基因组和蛋白质组分析的范例。此外，该项目的附加价值是识别（并持续探究以了解）细胞固有的热特性。该技术和方法如果成功，将提供一种非侵入性工具，更快地诊断上皮性卵巢癌，并加快下一步生物样本测定，以便早期验证该方法和技术。事实上，这项热力学细胞特性的实证研究将推进最近提出的热传递在癌细胞存活中的代谢重编程、生物能学和氧化还原代谢状态中的作用理论。 这种新发现将为新疗法打开大门。此外，未来对相关细胞位置的实时诊断，与腹腔镜检查相结合，可能会导致早期检测和诊断。这项技术表面上将扩展到其他循环血液肿瘤和疾病模型，为癌症检测和治疗解决方案的未来进步提供依据。代表性不足的学生将成为北德克萨斯大学麦克奈尔学者计划、国家科学基金会本科生研究经验计划的首选招募对象。德克萨斯州数学与科学学院的高中项目也将包括在内。该奖项反映了 NSF 的法定使命，并通过使用基金会的智力价值和更广泛的影响审查标准进行评估，被认为值得支持。

项目成果

Thermal conductivity of a Jurkat cell measured by a transient laser point heating method

• DOI: 10.1016/j.ijheatmasstransfer.2020.120161
• 发表时间: 2020-10
• 期刊: International Journal of Heat and Mass Transfer
• 影响因子: 5.2
• 作者: R. Shrestha;R. Atluri;D. Simmons;Dongsik Kim;Tae-youl Choi

Machine-learning based thermal conductivity prediction of propylene glycol solutions: Real time heat propagation approach

基于机器学习的丙二醇溶液热导率预测：实时热传播方法

• DOI: 10.2298/tsci220311039j
• 发表时间: 2023
• 期刊: Thermal Science
• 影响因子: 1.7
• 作者: Jarrett, Andrew;Kodibagkar, Ashwin;Um, Dugan;Simmons, Denise;Choi, Tae-Youl
• 通讯作者: Choi, Tae-Youl

Empirical Studies on Effect of Low-Level Laser Treatment on Glioblastoma Multiforme in Combination with Ag-PMMA-PAA Nanoparticles: Paired Red Region Optical-Property Treatment Platform

弱激光联合Ag-PMMA-PAA纳米颗粒治疗多形性胶质母细胞瘤效果的实证研究：配对红区光学特性治疗平台

• DOI: 10.3390/applnano3020008
• 发表时间: 2022
• 期刊: Applied nano
• 作者: Rohini Atluri;Daniel Korir;Tae-Youl Choi;Denise Perry Simmons
• 通讯作者: Denise Perry Simmons

Classifying Thermal Conductivity of Fluids with Artificial Neural Networks

使用人工神经网络对流体的热导率进行分类

• 发表时间: 2022
• 期刊: Thermal and Fluids Engineering Conference
• 作者: Andrew C. Jarrett;Ashwin Kodibagkar;Dugan Um;Tae-Youl Choi1;Denise P. Simmons
• 通讯作者: Denise P. Simmons