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- Creators: School of Life Sciences
Description
Background: Noninvasive MRI methods that can accurately detect subtle brain changes are highly desirable when studying disease-modifying interventions. Texture analysis is a novel imaging technique which utilizes the extraction of a large number of image features with high specificity and predictive power. In this investigation, we use texture analysis to assess and classify age-related changes in the right and left hippocampal regions, the areas known to show some of the earliest change in Alzheimer's disease (AD). Apolipoprotein E (APOE)'s e4 allele confers an increased risk for AD, so studying differences in APOE e4 carriers may help to ascertain subtle brain changes before there has been an obvious change in behavior. We examined texture analysis measures that predict age-related changes, which reflect atrophy in a group of cognitively normal individuals. We hypothesized that the APOE e4 carriers would exhibit significant age-related differences in texture features compared to non-carriers, so that the predictive texture features hold promise for early assessment of AD. Methods: 120 normal adults between the ages of 32 and 90 were recruited for this neuroimaging study from a larger parent study at Mayo Clinic Arizona studying longitudinal cognitive functioning (Caselli et al., 2009). As part of the parent study, the participants were genotyped for APOE genetic polymorphisms and received comprehensive cognitive testing every two years, on average. Neuroimaging was done at Barrow Neurological Institute and a 3D T1-weighted magnetic resonance image was obtained during scanning that allowed for subsequent texture analysis processing. Voxel-based features of the appearance, structure, and arrangement of these regions of interest were extracted utilizing the Mayo Clinic Python Texture Analysis Pipeline (pyTAP). Algorithms applied in feature extraction included Grey-Level Co-Occurrence Matrix (GLCM), Gabor Filter Banks (GFB), Local Binary Patterns (LBP), Discrete Orthogonal Stockwell Transform (DOST), and Laplacian-of-Gaussian Histograms (LoGH). Principal component (PC) analysis was used to reduce the dimensionality of the algorithmically selected features to 13 PCs. A stepwise forward regression model was used to determine the effect of APOE status (APOE e4 carriers vs. noncarriers), and the texture feature principal components on age (as a continuous variable). After identification of 5 significant predictors of age in the model, the individual feature coefficients of those principal components were examined to determine which features contributed most significantly to the prediction of an aging brain. Results: 70 texture features were extracted for the two regions of interest in each participant's scan. The texture features were coded as 70 initial components andwere rotated to generate 13 principal components (PC) that contributed 75% of the variance in the dataset by scree plot analysis. The forward stepwise regression model used in this exploratory study significantly predicted age, accounting for approximately 40% of the variance in the data. The regression model revealed 5 significant regressors (2 right PC's, APOE status, and 2 left PC by APOE interactions). Finally, the specific texture features that contributed to each significant PCs were identified. Conclusion: Analysis of image texture features resulted in a statistical model that was able to detect subtle changes in brain integrity associated with age in a group of participants who are cognitively normal, but have an increased risk of developing AD based on the presence of the APOE e4 phenotype. This is an important finding, given that detecting subtle changes in regions vulnerable to the effects of AD in patients could allow certain texture features to serve as noninvasive, sensitive biomarkers predictive of AD. Even with only a small number of patients, the ability for us to determine sensitive imaging biomarkers could facilitate great improvement in speed of detection and effectiveness of AD interventions..
ContributorsSilva, Annelise Michelle (Author) / Baxter, Leslie (Thesis director) / McBeath, Michael (Committee member) / Presson, Clark (Committee member) / School of Life Sciences (Contributor) / Department of Psychology (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05
Description
Psychotic-Like Experiences (PLEs) are prevalent in the general population and may be a marker of risk for psychosis, yet little is known about the everyday functioning of individuals with PLEs. The purpose of this study was to compare everyday functioning of people with and without PLEs. Participants were 108 college students enrolled in an introductory psychology course who were selected for participation in the study because they scored in the top and bottom 10% of a screening test for PLEs. Informants were emailed questionnaires and asked to report on the participants' functioning in three domains: interpersonal functioning, disorganized behavior, and cognitive-perceptual functioning. Informants also reported on participants' attention and memory problems. Results showed that, consistent with prior research, individuals high in PLEs were from lower SES families and reported more depression, anxiety, and substance use. Moreover, informants for participants high in PLEs reported more unusual/disorganized behavior than informants for participants low in PLEs. No differences were observed between individuals high versus low in PLEs for informant-reported interpersonal functioning and attention and memory problems, however. Findings suggest that noticeable difficulties among individuals with PLEs are limited to disorganized behavior. More research is needed to determine the functional consequences of disorganized behavior among individuals with PLEs.
ContributorsLynch, Emily Nicole (Author) / Meier, Madeline (Thesis director) / Presson, Clark (Committee member) / Low, Sabina (Committee member) / Sanford School of Social and Family Dynamics (Contributor) / Department of Psychology (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05
Description
Neuroinflammation is mediated by activated microglia, the chief immune response of the central nervous system. Mitochondrial 18kDa translocator protein (TSPO) is upregulated in activated microglia and has been used in PET scans to analyze peripheral and central inflammation with TSPO radioligand [18F]DPA-714. To test the hypothesis that TSPO is involved in microglial mediation of inflammatory responses to Aβ and other Alzheimer’s pathological elements, TSPO expression was evaluated in relation to microglia specific markers (IBA1 and LN3 antibodies) and markers for AD pathology, Aβ (6E10 antibody) and hyperphosphorylated tau (AT8 antibody). To test that TSPO is involved in inflammatory pathways, HEK cells transfected with TSPO plasmids were assessed for oxidative stress in response to Alzheimer’s disease pathogenic agents, β Amyloid (Aβ), and Parkinson’s disease α-synuclein (α-syn).
Fluorescence microscopy of TSPO transfected HEK cell cultures labeled with Carboxy-H2DCFDA and treated with Beta Amyloid (Aβ) and α-synuclein (α-syn) resulted in DAPI fluorescing Human Embryonic Kidney (HEK) nuclei in blue and Green Fluorescent Protein (GFP) fluorescing reactive oxygen species (ROS) or oxidative stress in cell cytoplasm in green. Preliminary study suggests TSPO transfected cells may be used to test oxidative stress with disease pathological elements (Aβ and α-synuclein). In IHC, TSPO immunoreactivity was observed in IBA1 and LN3 marked microglia with varying degrees of expression. Beaded structures were also observed with TSPO immunoreactivities, possibly representing microglia processes. TSPO immunoreactivity was observed in and surrounding amyloid plaques and p-tau immunoreactive neurites. This demonstrates that TSPO is predominantly expressed in microglia and are closely associated with Alzheimer’s disease pathological elements, suggesting involvement of TSPO-expressing microglia in neurodegenerative processes.
Fluorescence microscopy of TSPO transfected HEK cell cultures labeled with Carboxy-H2DCFDA and treated with Beta Amyloid (Aβ) and α-synuclein (α-syn) resulted in DAPI fluorescing Human Embryonic Kidney (HEK) nuclei in blue and Green Fluorescent Protein (GFP) fluorescing reactive oxygen species (ROS) or oxidative stress in cell cytoplasm in green. Preliminary study suggests TSPO transfected cells may be used to test oxidative stress with disease pathological elements (Aβ and α-synuclein). In IHC, TSPO immunoreactivity was observed in IBA1 and LN3 marked microglia with varying degrees of expression. Beaded structures were also observed with TSPO immunoreactivities, possibly representing microglia processes. TSPO immunoreactivity was observed in and surrounding amyloid plaques and p-tau immunoreactive neurites. This demonstrates that TSPO is predominantly expressed in microglia and are closely associated with Alzheimer’s disease pathological elements, suggesting involvement of TSPO-expressing microglia in neurodegenerative processes.
ContributorsWu, Michael (Author) / Lue, Lih-Fen (Thesis director) / Washo-Krupps, Delon (Committee member) / School of Life Sciences (Contributor) / School of Molecular Sciences (Contributor) / Barrett, The Honors College (Contributor)
Created2018-05
Description
Alzheimer’s disease (AD) is characterized by the aberrant accumulation and aggregation of proteins that in turn contribute to learning and memory deficits. The mammalian target of rapamycin (mTOR) plays an essential role in regulating the synthesis and degradation of proteins that contribute to cell growth and learning and memory. Hyperactivity of mTOR can cause detrimental effects to protein homeostasis and has been linked to AD. The proline-rich Akt-substrate 40 kDa (PRAS40) is a negative regulator of mTOR, as it binds to mTOR directly, reducing its activity. Upon phosphorylation, PRAS40 detaches from mTOR thereby releasing its inhibitory effects. Increased phosphorylation of PRAS40, and a subsequent increase in mTOR activity has been linked to diabetes, cancer, and other conditions; however, PRAS40’s direct role in the pathogenesis of AD is still unclear. To investigate the role of PRAS40 in AD pathology, we generated a PRAS40 conditional knockout mouse model and, using a neuronal-specific Cre recombinase, selectively removed PRAS40 from APP/PS1 mice. Removing neuronal PRAS40 exacerbated Abeta levels and plaque load but paradoxically had no significant effects on mTOR signaling. Mechanistically, the increase in Abeta pathology was linked to a decrease in autophagy function. Our data highlight a primary role of PRAS40 in the pathogenesis of AD.
ContributorsSurendra, Likith (Author) / Oddo, Salvatore (Thesis director) / Velazquez, Ramon (Committee member) / Pratico, Domenico (Committee member) / School of Life Sciences (Contributor) / Dean, W.P. Carey School of Business (Contributor) / Barrett, The Honors College (Contributor)
Created2019-05
Description
The nuclear pore complex is a structure that is found in the nuclear envelope. The nuclear pore complex is made of proteins known as nucleoporins, or Nups. There are many classes of Nups, one of which is Nups with phenylalanine-guanine repeats (FG-Nups). The FG-Nups help control the transport of material through the nuclear pore complex. One type of FG-Nup is NupL2. Previous mRNA data have shown that there is lower expression of NupL2 in Alzheimer's Disease brains than there is in control brains. However, these data are specific to mRNA expression, and do not necessarily extend to NupL2 protein levels. This study focuses on NupL2 levels in non-diseased samples and Alzheimer's Disease samples. Immunohistochemistry (IHC) with 3,3'-diaminobenzidine was performed on temporal neo-cortical brain tissue. Western blots were also performed to quantify the protein levels in non-diseased samples and Alzheimer's Disease samples, and were completed using middle temporal gyrus lysates. The IHC results show that there is more NupL2 protein expression in non-diseased samples than there is in Alzheimer's Disease samples. Likewise, the western blot data show higher NupL2 protein levels in non-diseased samples than in Alzheimer's Disease samples. Both the IHC data and the western blot data indicate that there are higher NupL2 expression levels in non-diseased samples than in Alzheimer's Disease samples. Decreased NupL2 expression in Alzheimer's Disease may indicate that it is not functioning properly. This could lead to the leaking of material between the nucleoplasm and the cytoplasm, which may in turn contribute to Alzheimer's Disease pathogenesis.
ContributorsKulkarni, Neha Uday (Author) / Coleman, Paul (Thesis director) / Mastroeni, Diego (Committee member) / School of Life Sciences (Contributor) / Department of Psychology (Contributor) / Barrett, The Honors College (Contributor)
Created2018-05
Description
Alzheimer’s disease (AD) is a progressive cognitive and behavior disorder that is characterized by the deposition of extracellular Aβ plaques, intracellular neurofibrillary tangles, and neuroinflammation. Aβ is generated by cleavage of the amyloid precursor protein (APP) by β-secretase (BACE1) and, subsequently, y- secretase. In recent years, there has been an increasing interest in studying and understanding inflammation as a therapeutic target for AD. Inflammation manifests in the brain in the form of activated microglia and astrocytes. These cells are able to release high levels of inflammatory cytokines such as Tumor Necrosis Factor-α (TNF-α). TNF-α is a major cytokine, which is involved in early inflammatory events and plays a role in the progression of AD pathology. There are currently no treatments that target chronic neuroinflammation. However, previous work in our laboratory with transgenic mice modeling AD suggested that the anti-cancer drug lenalidomide could lower neuroinflammation and slow AD progression, though the cellular and molecular mechanisms are yet to be elucidated. Here we hypothesized that lenalidomide can modulate TNF-α production in microglia and decrease amyloidogenesis. Using immortal cell lines mimicking several brain cell types, we discovered that lenalidomide is likely to decrease inflammation by modulating microglia cells rather than neurons or astrocytes. In addition, the drug may prevent the overexpression of BACE1 upon inflammation, thus blocking the overproduction of Aβ. If confirmed, these results could lead to a better understanding of how inflammation regulates Aβ synthesis and provide novel cellular and molecular therapeutic targets to control the progression AD.
ContributorsGujju, Manasa (Author) / DeCourt, Boris (Thesis director) / Olive, M. Foster (Committee member) / Department of Psychology (Contributor) / School of Life Sciences (Contributor) / Barrett, The Honors College (Contributor)
Created2018-05
Description
The burden of dementia and its primary cause, Alzheimer’s disease, continue to devastate many with no available cure although present research has delivered methods for risk calculation and models of disease development that promote preventative strategies. Presently Alzheimer’s disease affects 1 in 9 people aged 65 and older amounting to a total annual healthcare cost in 2023 in the United States of $345 billion between Alzheimer’s disease and other dementias making dementia one of the costliest conditions to society (“2023 Alzheimer’s Disease Facts and Figures,” 2023). This substantial cost can be dramatically lowered in addition to a reduction in the overall burden of dementia through the help of risk prediction models, but there is still a need for models to deliver an individual’s predicted time of onset that supplements risk prediction in hopes of improving preventative care. The aim of this study is to develop a model used to predict the age of onset for all-cause dementias and Alzheimer’s disease using demographic, comorbidity, and genetic data from a cohort sample. This study creates multiple regression models with methods of ordinary least squares (OLS) and least absolute shrinkage and selection operator (LASSO) regression methods to understand the capacity of predictor variables that estimate age of onset for all-cause dementia and Alzheimer’s disease. This study is unique in its use of a diverse cohort containing 346 participants to create a predictive model that originates from the All of Us Research Program database and seeks to represent an accurate sampling of the United States population. The regression models generated had no predictive capacity for the age of onset but outline a simplified approach for integrating public health data into a predictive model. The results from the generated models suggest a need for continued research linking risk factors that estimate time of onset.
ContributorsGoeringer, Cayden (Author) / Holechek, Susan (Thesis director) / Sellner, Erin (Committee member) / Barrett, The Honors College (Contributor) / School of Life Sciences (Contributor) / School of Music, Dance and Theatre (Contributor)
Created2023-05
Description
Neuroinflammation contributes significantly to the pathogenesis of Alzheimer’s and Parkinson’s diseases. However, the inflammatory pathways contributing to neurodegeneration are not well understood. Moreover, there is a need to identify changes in inflammatory signaling that may occur early in disease progression to identify potential targets for therapeutic intervention. An important step towards addressing this need is understanding how the extracellular vesicles (EVs) released by microglia can be detected in the periphery. For microglia, phagocytic macrophages, and CD 14+ monocytes share many genes and membrane- bound proteins, and there is currently no method to distinguish microglia EVs from those generated by macrophages or monocytes. Therefore, this study aims to identify membrane-bound proteins unique to microglia EVs to enable their reliable isolation. Liquid-chromatography tandem mass spectrometry analysis was used to detect proteins in the EVs from both normal and disease-associated human stem-cell differentiated microglia (iMGL), and human induced pluripotent stem cell-derived CD 14+ monocytes and macrophages. We identified 23 proteins unique to the microglial EVs, eight of which localize to the membrane and may be potential targets for isolation. This investigation also used RNA sequencing to gain insight into the contents of DAM-like and control iMGL EVs and of microglia and white blood cells in Alzheimer’s disease. We propose that the contents of microglial EVs isolated from peripheral compartments will provide crucial insight for understanding the current inflammatory state of CNS microglia. This approach could provide a means to track changes in microglial activation over time, which is critical for understanding the progression of neuroinflammatory diseases like Alzheimer's and Parkinson's. Additionally, it may offer insights into potential therapeutic targets for modulating neuroinflammation.
ContributorsLopatin, Ulia (Author) / Mastroeni, Diego (Thesis director) / Velazquez, Ramon (Committee member) / Van Keuren-Jensen, Kendall (Committee member) / Barrett, The Honors College (Contributor) / School of Life Sciences (Contributor)
Created2024-05
Description
There are currently no disease-modifying treatments to halt or attenuate the progression of Alzheimer’s disease (AD). Transgenic rodent models have provided researchers the ability to recapitulate particular pathological and symptomological events in disease progression. Complete reproduction of all features of AD in a rodent model has not been achieved, potentially lending to the inconclusive treatment results at the clinical level. Recently, the TgF344-AD transgenic rat model has started to be evaluated; however, it has not been well characterized in terms of its cognition, which is fundamental to understanding the trajectory of aging relative to pathology and learning and memory changes. Therefore, the aim of the current study was to identify cognitive outcomes at 6, 9, and 12 months of age in the TgF344-AD rat model. Sixty female transgenic (Tg) and wildtype (WT) rats were tested on the water radial arm maze, Morris water maze, and visible platform task to evaluate cognition. Results from the asymptotic phase of the water radial arm maze showed that the 6 mo-Tg animals had marginally impaired working memory compared to 6 mo-WT rats, and 12 mo-Tg rats had significantly impaired working memory compared to 12 mo-WT rats. The 9 mo-Tg animals did not demonstrate a significant difference in working memory errors compared to the 9 mo-WT animals. This pattern of impairment, wherein Tg animals made more working memory errors compared to WT animals at the 6 and 12 month time points, but not at the 9 month time point, may be indicative of an inflammatory response that proves helpful at incipient stages of disease progression but eventually leads to further cognitive impairment. These results provide insight into the potential earliest time point that prodromal cognitive symptoms of AD exist, and how they progress with aging. Brain tissue was collected at sacrifice for future analyses of pathology, which will be used to glean insight into the temporal progression of pathological and cognitive outcomes.
ContributorsBulen, Haidyn Leigh (Co-author) / Bulen, Haidyn (Co-author) / Bimonte-Nelson, Heather (Thesis director) / Presson, Clark (Committee member) / Conrad, Cheryl (Committee member) / Woner, Victoria (Committee member) / Peña, Veronica (Committee member) / School of International Letters and Cultures (Contributor) / Department of Psychology (Contributor) / School of Life Sciences (Contributor) / Barrett, The Honors College (Contributor)
Created2020-05
Description
Dementia is a collective term used to describe symptoms of cognitive impairment in learning and memory. The most prevalent form of dementia is Alzheimer’s disease (AD). In order to understand the pathological mechanisms associated with AD, animal models have been created. These various mouse models replicate the pathology found in humans with AD. As a consequence of the fact that this disease impairs cognitive abilities in humans, testing apparatuses have been developed to measure impaired cognition in animal models. One of the most common behavioral apparatuses that has been in use for nearly 40 years is the Morris water maze (MWM). In the MWM, animals are tasked to find a hidden platform in a pool of water and thereby are subjected to stress that can unpredictably influence cognitive performance. In an attempt to circumvent such issues, the IntelliCage was designed to remove the external stress of the human experimenter and provide a social environment during task assessment which is fully automated and programable. Additionally, the motivation is water consumption, which is less stressful than escaping a pool. This study examined the difference in performance of male and female cohorts of APP/PS1 and non-transgenic (NonTg) mice in both the MWM and the IntelliCage. Initially, 12-month-old male and female APP/PS1 and NonTg mice were tested in the hippocampal-dependent MWM maze for five days. Next, animals were moved to the IntelliCage and underwent 39 days of testing to assess prefrontal cortical and hippocampal function. The results of this experiment showed significant sex differences in task performance, but inconsistency between the two testing paradigms. Notably, males performed significantly better in the MWM, which is consistent with prior research. Interestingly however, APP/PS1 females showed higher Amyloid-β plaque load and performed significantly better in the more complex tasks of the IntelliCage. This suggests that Aβ plaque load may not directly contribute to cognitive deficits, which is consistent with recent reports in humans with AD. Collectively, these results should inform scientists about the caveats of behavioral paradigms and will aid in determining translation to the human condition.
ContributorsMifflin, Marc Anthony (Author) / Velazquez, Ramon (Thesis director) / Mastroeni, Diego (Committee member) / School of Geographical Sciences and Urban Planning (Contributor) / School of Life Sciences (Contributor) / Barrett, The Honors College (Contributor)
Created2020-05