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Fetal Growth Models of Cardiac Size and Function, and Prediction of Congenital Cardiomyopathy in Fetuses with Diabetic Mothers

Description

2D fetal echocardiography (ECHO) can be used for monitoring heart development in utero. This study’s purpose is to empirically model normal fetal heart growth and function changes during development by ECHO and compare these to fetuses diagnosed with and without cardiomyopathy with diabetic mothers. There are existing mathematical models describing…

2D fetal echocardiography (ECHO) can be used for monitoring heart development in utero. This study’s purpose is to empirically model normal fetal heart growth and function changes during development by ECHO and compare these to fetuses diagnosed with and without cardiomyopathy with diabetic mothers. There are existing mathematical models describing fetal heart development but they warrant revalidation and adjustment. 377 normal fetuses with healthy mothers, 98 normal fetuses with diabetic mothers, and 37 fetuses with cardiomyopathy and diabetic mothers had their cardiac structural dimensions, cardiothoracic ratio, valve flow velocities, and heart rates measured by fetal ECHO in a retrospective chart review. Cardiac features were fitted to linear functions, with respect to gestational age, femur length, head circumference, and biparietal diameter and z-scores were created to model normal fetal growth for all parameters. These z-scores were used to assess what metrics had no difference in means between the normal fetuses of both healthy and diabetic mothers but differed from those diagnosed with cardiomyopathy. It was found that functional metrics like mitral and tricuspid E wave and pulmonary velocity could be important predictors for cardiomyopathy when fitted by gestational age, femur length, head circumference, and biparietal diameter. Additionally, aortic and tricuspid annulus diameters when fitted to estimated gestational age showed potential to be predictors for fetal cardiomyopathy. While the metrics overlapped over their full range, combining them together may have the potential for predicting cardiomyopathy in utero. Future directions of this study will explore creating a classifier model that can predict cardiomyopathy using the metrics assessed in this study.

ContributorsMishra, Shambhavi (Co-author) / Numani, Asfia (Co-author) / Sweazea, Karen (Thesis director) / Plasencia, Jonathan (Committee member) / Economics Program in CLAS (Contributor) / School of Life Sciences (Contributor) / Barrett, The Honors College (Contributor)

Created2021-05

Fetal Growth Models of Cardiac Size and Function, and Prediction of Congenital Cardiomyopathy in Fetuses with Diabetic Mothers

Description

2D fetal echocardiography (ECHO) can be used for monitoring heart development in utero. This study’s purpose is to empirically model normal fetal heart growth and function changes during development by ECHO and compare these to fetuses diagnosed with and without cardiomyopathy with diabetic mothers. There are existing mathematical models describing…

2D fetal echocardiography (ECHO) can be used for monitoring heart development in utero. This study’s purpose is to empirically model normal fetal heart growth and function changes during development by ECHO and compare these to fetuses diagnosed with and without cardiomyopathy with diabetic mothers. There are existing mathematical models describing fetal heart development but they warrant revalidation and adjustment. 377 normal fetuses with healthy mothers, 98 normal fetuses with diabetic mothers, and 37 fetuses with cardiomyopathy and diabetic mothers had their cardiac structural dimensions, cardiothoracic ratio, valve flow velocities, and heart rates measured by fetal ECHO in a retrospective chart review. Cardiac features were fitted to linear functions, with respect to gestational age, femur length, head circumference, and biparietal diameter and z-scores were created to model normal fetal growth for all parameters. These z-scores were used to assess what metrics had no difference in means between the normal fetuses of both healthy and diabetic mothers, but differed from those diagnosed with cardiomyopathy. It was found that functional metrics like mitral and tricuspid E wave and pulmonary velocity could be important predictors for cardiomyopathy when fitted by gestational age, femur length, head circumference, and biparietal diameter. Additionally, aortic and tricuspid annulus diameters when fitted to estimated gestational age showed potential to be predictors for fetal cardiomyopathy. While the metrics overlapped over their full range, combining them together may have the potential for predicting cardiomyopathy in utero. Future directions of this study will explore creating a classifier model that can predict cardiomyopathy using the metrics assessed in this study.

ContributorsNumani, Asfia (Co-author) / Mishra, Shambhavi (Co-author) / Sweazea, Karen (Thesis director) / Plasencia, Jon (Committee member) / School of Mathematical and Statistical Sciences (Contributor) / School of Life Sciences (Contributor) / Barrett, The Honors College (Contributor)

Created2021-05

Diet-induced alterations in energy homeostasis and central adiposity: liver and visceral adipose tissue

Description

There has been an alarming rise in the prevalence of obesity which has been attributed to the paralleled rise in consumption of high-fat foods. It’s commonly accepted that high-fat diets can lead to increased weight gain, however not all fats have the same physiological action. This study primarily focuses on…

There has been an alarming rise in the prevalence of obesity which has been attributed to the paralleled rise in consumption of high-fat foods. It’s commonly accepted that high-fat diets can lead to increased weight gain, however not all fats have the same physiological action. This study primarily focuses on the effect of canola oil, a monounsaturated fat, on energy homeostasis and body composition when it’s given as a supplement to a high-fat diet composed of saturated fatty acid. Rodent models were divided into three dietary groups: 1) low-fat diet (LFD), 2) high-fat diet (HFD) and 3) canola oils supplemented HFD (HF+CAN). After 4 weeks of dietary intervention, samples of epididymal fat, perinephric fat, and liver were analyzed across the three groups to see if the changes in energy homeostasis could be explained by the cellular behavior and composition of these tissues. Interestingly, the supplement of canola oil appeared to reverse the deleterious effects of a saturated fat diet, reverting energy intake, body weight gain and adipose tissue sizes to that (if not lower than that) of the LFD group. The only exception to this effect was the liver: the livers remained larger and fattier than those of the HFD. This occurrence is possibly due to a decrease in free fatty acid uptake in the adipose tissues—resulting in smaller adipose tissue sizes—and increased fatty acid uptake in the liver. The mechanism by which this occurs has yet to be elucidated and will be the primary focus of upcoming studies on the effect of monounsaturated fat on other diets.

ContributorsZuo, Connie Wanda (Author) / Washo-Krupps, Delon (Thesis director) / Deviche, Pierre (Committee member) / Herman, Richard (Committee member) / Barrett, The Honors College (Contributor) / Department of Chemistry and Biochemistry (Contributor) / School of Life Sciences (Contributor)

Created2015-05

Finding the Place of Genetics and Neuroscience in Revising the DSM-5 for Diagnosing Autism Spectrum Disorders

ContributorsSavarese, Erica (Author) / Robert, Jason (Thesis director) / Hurlbut, Ben (Committee member) / Verrelli, Brian (Committee member) / Barrett, The Honors College (Contributor) / School of Life Sciences (Contributor)

Created2013-05

The Hwang Woo-Suk Scandal and the Development of Bioethics in South Korea

Description

In 2004, the South Korean geneticist Woo-Suk Hwang published what was widely regarded as the most important research result in biotechnology of the year. In the prestigious American journal Science, he claimed that he had succeeded in cloning a human blastocyst, an embryo in its early stages (Hwang et al.…

In 2004, the South Korean geneticist Woo-Suk Hwang published what was widely regarded as the most important research result in biotechnology of the year. In the prestigious American journal Science, he claimed that he had succeeded in cloning a human blastocyst, an embryo in its early stages (Hwang et al. 2004). A year later, in a second Science article, he made the earth-shattering announcement that he had derived eleven embryonic stem cell lines using his cloning technique (Hwang et al. 2005). The international scientific community was stunned. American scientists publicly fretted that President George W. Bush‘s 2001 executive order limiting federal funding for stem-cell research in the United States had put American bioscience behind the Koreans‘ (Paarlberg 2005). These breakthroughs offered potential solutions to immune system rejection of transplanted organs and possible cures for diseases such as rheumatoid arthritis, Parkinson‘s, Down‘s syndrome, and paralysis (Svenaeus 2007). However, within a year, Hwang was exposed as a fraud who had faked his results and pressured his female colleagues to donate eggs without informed consent. Despite protests against his methods from Korean religious and nongovernmental organizations, Hwang had used his prestige to ignore his ethical obligations. The Korean government, too, was slow to investigate Hwang and to subject his work to appropriate regulation.

ContributorsClay, Anne (Author) / Hurlbut, James (Thesis director) / Maienschein, Jane (Committee member) / Marchant, Gary (Committee member) / Barrett, The Honors College (Contributor) / School of Life Sciences (Contributor)

Created2012-12

Development of Electrical Instrumentation for Multiplexed Diabetes Management

Description

This report outlines the current methods and instrumentation used for diabetes monitoring and detection, and evaluates the problems that these methods face. Additionally, it will present an approach to remedy these problems. The purpose of this project is to create a potentiostat that is capable of controlling a diabetes meter…

This report outlines the current methods and instrumentation used for diabetes monitoring and detection, and evaluates the problems that these methods face. Additionally, it will present an approach to remedy these problems. The purpose of this project is to create a potentiostat that is capable of controlling a diabetes meter that monitors multiple biological markers simultaneously. Glucose is the most commonly measured biomarker for diabetes. However, it provides only a limited amount of information. In order to give the user of the meter more information about the progression of his or her disease, the concentrations of several different biological markers for diabetes may be measured using a system that operates in a similar fashion to blood glucose meters. The potentiostat provides an input voltage into the electrode sensor and receives the current from the sensor as the output. From this information, the impedance may be calculated. The concentrations of each of the biomarkers in the blood sample can then be determined. In an effort to increase sensitivity, the diabetes meter forgoes the use of amperometric i-t in favor of the electrochemical impedance spectroscopy technique. A three-electrode electrochemical sensor is used with the meter. In order to perform simultaneous and rapid testing of biomarker concentration, a single multisine input wave is generated using a hardware implementation of a summing amplifier and waveform generators.

ContributorsWu, Diane Zhang (Author) / LaBelle, Jeffrey (Thesis director) / Bakkaloglu, Bertan (Committee member) / Spano, Mark (Committee member) / Barrett, The Honors College (Contributor) / Electrical Engineering Program (Contributor)

Created2013-05

Multimarker Sensor Development for Intermediate Glycemic Index, A Novel Approach for a Glycated Albumin Sensor

Description

Diabetes mellitus is a disease characterized by many chronic and acute conditions. With the prevalence and cost quickly increasing, we seek to improve on the current standard of care and create a rapid, label free sensor for glycated albumin (GA) index using electrochemical impedance spectroscopy (EIS). The antibody, anti-HA, was…

Diabetes mellitus is a disease characterized by many chronic and acute conditions. With the prevalence and cost quickly increasing, we seek to improve on the current standard of care and create a rapid, label free sensor for glycated albumin (GA) index using electrochemical impedance spectroscopy (EIS). The antibody, anti-HA, was fixed to gold electrodes and a sine wave of sweeping frequencies was induced with a range of HA, GA, and GA with HA concentrations. Each frequency in the impedance sweep was analyzed for highest response and R-squared value. The frequency with both factors optimized is specific for both the antibody-antigen binding interactions with HA and GA and was determined to be 1476 Hz and 1.18 Hz respectively in purified solutions. The correlation slope between the impedance response and concentration for albumin (0 \u2014 5400 mg/dL of albumin) was determined to be 72.28 ohm/ln(mg/dL) with an R-square value of 0.89 with a 2.27 lower limit of detection. The correlation slope between the impedance response and concentration for glycated albumin (0 \u2014 108 mg/dL) was determined to be -876.96 ohm/ln(mg/dL) with an R-squared value of 0.70 with a 0.92 mg/dL lower limit of detection (LLD). The above data confirms that EIS offers a new method of GA detection by providing unique correlation with albumin as well as glycated albumin. The unique frequency response of GA and HA allows for modulation of alternating current signals so that several other markers important in the management of diabetes could be measured with a single sensor. Future work will be necessary to establish multimarker sensing on one electrode.

ContributorsEusebio, Francis Ang (Author) / LaBelle, Jeffrey (Thesis director) / Pizziconi, Vincent (Committee member) / Barrett, The Honors College (Contributor) / Harrington Bioengineering Program (Contributor)

Created2014-05

Genetically-Related Health Disparities in Sports: Frequency Analysis of Two Single Nucleotide Polymorphisms in NCAA Student Athletes with Sickle Cell Trait

Description

The NCAA recently declared sickle cell trait (SCT) to be a risk factor for sudden illness and death among student athletes. Fetal hemoglobin (HbF) concentration in adults is negatively correlated with disease severity in sickle cell anemia, although its effect on SCT is not fully understood and the concentration is…

The NCAA recently declared sickle cell trait (SCT) to be a risk factor for sudden illness and death among student athletes. Fetal hemoglobin (HbF) concentration in adults is negatively correlated with disease severity in sickle cell anemia, although its effect on SCT is not fully understood and the concentration is found to have high variability across populations. Two single nucleotide polymorphisms (SNPs) at the human beta globin gene cluster, rs7482144 and rs10128556, contribute to the heritable variation in HbF levels and are associated with increased HbF concentrations in adults. A sample population of NCAA football student athletes was genotyped for these two polymorphisms, and their allele frequencies were compared to those of other populations. The minor allele of both polymorphisms had allele frequencies of 0.091 in the sample population, which compared closely with other populations of recent African heritage but was significantly different from European populations. The results of this study will be included in a larger study to predict whether these among other polymorphisms can be used as markers to predict susceptibility to heat-related emergencies in NCAA student athletes with SCT, although the small sample size will delay this process until participation in the study increases. Since both rs7482144 and rs10128556 exhibit high levels of linkage disequilibrium, and as their contributions to the heritable variability of HbF concentrations tend to differ greatly between populations of different ancestry, further investigations should be aimed at distinguishing between the effects of each SNP in African American, European, and other populations represented in NCAA football before conclusions can be drawn as to their practical use as genetic markers of heat susceptibility in student athletes with SCT.

ContributorsGrieger, Ryan Wayne (Author) / Stone, Anne C. (Thesis director) / Rosenberg, Michael (Committee member) / Madrigal, Lorena (Committee member) / Barrett, The Honors College (Contributor) / School of Life Sciences (Contributor)

Created2014-05

An evaluation of the ecological and human health factors in protein source decisions

Description

Protein is an essential macronutrient in the human diet, but the source of this protein has both human health and environmental impacts. Health complications can result from protein deficiency, but the practices by which protein sources are raised, grown, or harvested have environmental consequences, potentially reducing biodiversity, essential habitat, and…

Protein is an essential macronutrient in the human diet, but the source of this protein has both human health and environmental impacts. Health complications can result from protein deficiency, but the practices by which protein sources are raised, grown, or harvested have environmental consequences, potentially reducing biodiversity, essential habitat, and crucial stocks of natural resources. Terrestrial cultivation encroaches on natural habitats and consumes resources inefficiently, while overfishing has greatly depleted wild fishery stocks. These environmental factors, along with concerns about nutrients, contaminants and the ethics of animal protein has led to confusion about weighing the risks and benefits associated with alternative sources of protein. Providing consumers \u2014 and policy makers \u2014 with a comprehensive account of major protein sources and their impacts in an understandable form is crucial to reducing environmental degradation and improving human health. Here I provide a general framework to compare the health and environmental impacts of livestock, seafood, and plant protein, and illustrate the application of this framework with case studies for each of these categories.

ContributorsGeren, Sarah Lindsey (Author) / Gerber, Leah (Thesis director) / Smith, Andrew (Committee member) / Minteer, Ben (Committee member) / Barrett, The Honors College (Contributor) / School of Human Evolution and Social Change (Contributor) / School of Life Sciences (Contributor)

Created2014-05

Developing an Electrochemical Impedance Spectroscopy-Based Insulin Sensor

Description

Currently, the management of diabetes mellitus (DM) involves the monitoring of only blood glucose using self-monitoring blood glucose devices (SMBGs) followed by taking interventional steps, if needed. To increase the amount of information that diabetics can have to base DM care decisions off of, the development of an insulin biosensor…

Currently, the management of diabetes mellitus (DM) involves the monitoring of only blood glucose using self-monitoring blood glucose devices (SMBGs) followed by taking interventional steps, if needed. To increase the amount of information that diabetics can have to base DM care decisions off of, the development of an insulin biosensor is explored. Such a biosensor incorporates electrochemical impedance spectroscopy (EIS) to ensure an extremely sensitive platform. Additionally, anti-insulin antibody was immobilized onto the surface of a gold disk working electrode to ensure a highly specific sensing platform as well. EIS measurements were completed with a 5mV sine wave that was swept through the frequency spectrum of 100 kHz to 1 Hz on concentrations of insulin ranging from 0 pM to 100 μM. The frequency at which the interaction between insulin and its antibody was optimized was determined by finding out at which frequency the R2 and slope of the impedance-concentration plot were best. This frequency, otherwise known as the optimal binding frequency, was determined to be 459 Hz. Three separate electrodes were developed and the impedance data for each concentration measured at 459 Hz was averaged and plotted against the LOG (pM insulin) to construct the calibration curve. The response was calculated to be 263.64 ohms/LOG(pM insulin) with an R2 value of 0.89. Additionally, the average RSD was determined to be 19.24% and the LLD was calculated to be 8.47 pM, which is well below the physiological normal range. These results highlight the potential success of developing commercial point-of-care insulin biosensors or multi-marker devices operating with integrated insulin detection.

ContributorsDecke, Zachary William (Author) / LaBelle, Jeffrey (Thesis director) / Pizziconi, Vincent (Committee member) / Cook, Curtiss (Committee member) / Barrett, The Honors College (Contributor) / Harrington Bioengineering Program (Contributor)

Created2013-05

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