Browsing by Author "Bernath, Megan M."

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    Craniofacial Trauma and Vascular Injury
    (Thieme, 2021) Bernath, Megan M.; Mathew, Sunu; Kovoor, Jerry; Ophthalmology, School of Medicine
    Cerebrovascular injury is a potentially devastating outcome following craniofacial trauma. Interventional radiologists play an important role in detecting, grading, and treating the different types of vascular injury. Computed tomography angiography plays a significant role in the detection of these injuries. Carotid-cavernous fistulas, extra-axial hematomas, pseudoaneurysms, and arterial lacerations are rare vessel injuries resulting from craniofacial trauma. If left untreated, these injuries can lead to vessel rupture and hemorrhage into surrounding areas. Acute management of these vessel injuries includes early identification with angiography and treatment with endovascular embolization. Endovascular therapy resolves vessel abnormalities and reduces the risk of vessel rupture and associated complications.
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    Lipidomic Dysregulation in Alzheimer's Disease: Relation to Genetics, Neuroimaging and Other Biomarkers
    (2021-04) Bernath, Megan M.; Saykin, Andrew J.; Nho, Kwangsik; Herbert, Brittney-Shea; Lahiri, Debomoy K.; Lamb, Bruce T.; Risacher, Shannon L.
    Large-scale genome-wide association studies for Alzheimer’s disease (AD) have identified more than 20 risk loci and several pathways including lipid metabolism. Lipids are fundamental to cellular structure and organization, where they compose biological bilayer membranes surrounding the cell. In their structural role, lipids provide a scaffold for cell signaling, such as neurotransmission. There is a large body of evidence linking lipids and AD, yet the relationship between AD pathogenesis and lipid dyshomeostasis is not well understood. Here, we performed manual PubMed searches to identify the most studied lipid classes and risk genes in AD. We discussed pathological alterations of the key lipids and their potential contribution to the recent NIA-AA “A/T/N” framework. We also summarized what is known between the key lipids and etiological hypotheses of AD. Finally, we characterized relationship of the key lipids with AD genomic risk factors to identify possible downstream mechanisms of lipid dysfunction in AD. There is a large body of evidence linking lipids and AD, yet the relationship between AD pathogenesis and lipid dyshomeostasis is not well understood. In particular, we investigated the association between triglyceride (TG) species and AD. The overall goal was to test the hypothesis that TGs would associate with AD endophenotypes, based on their fatty acid composition. Diagnostic groups (cognitively normal older adults (CN), mild cognitive impairment (MCI), and AD) differed on two principal components extracted from 84 serum TG levels. Fish oil-type and olive oil-type TGs were significantly lower in MCI and AD compared to CN. Next, association analysis of TG principal components with “A/T/N/V” (amyloid-β, tau, neurodegeneration, and cerebrovascular) biomarkers for AD showed that the fish oil-type and olive oil-type TGs were also significantly associated with atrophy on MRI. Finally, a mixed model regression analysis investigated the association between baseline TGs and longitudinal changes of AD endophenotypes to show that olive oil-type TGs predicted changes in AD brain atrophy. Our results indicate that a specific subcategory of TGs is associated with an early prodromal stage of cognitive impairment and early-stage biomarkers for AD, providing the foundation for future therapeutic development related to TG metabolism.
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    Serum triglycerides in Alzheimer disease: Relation to neuroimaging and CSF biomarkers
    (Wolters Kluwer, 2020-05-01) Bernath, Megan M.; Bhattacharyya, Sudeepa; Nho, Kwangsik; Barupal, Dinesh Kumar; Fiehn, Oliver; Baillie, Rebecca; Risacher, Shannon L.; Arnold, Matthias; Jacobson, Tanner; Trojanowski, John Q.; Shaw, Leslie M.; Weiner, Michael W.; Doraiswamy, P. Murali; Kaddurah-Daouk, Rima; Saykin, Andrew J.; Consortium for the Alzheimer's Disease Neuroimaging Initiative and Alzheimer's Disease Metabolomics; Medicine, School of Medicine
    Objective To investigate the association of triglyceride (TG) principal component scores with Alzheimer disease (AD) and the amyloid, tau, neurodegeneration, and cerebrovascular disease (A/T/N/V) biomarkers for AD. Methods Serum levels of 84 TG species were measured with untargeted lipid profiling of 689 participants from the Alzheimer's Disease Neuroimaging Initiative cohort, including 190 cognitively normal older adults (CN), 339 with mild cognitive impairment (MCI), and 160 with AD. Principal component analysis with factor rotation was used for dimension reduction of TG species. Differences in principal components between diagnostic groups and associations between principal components and AD biomarkers (including CSF, MRI and [18F]fluorodeoxyglucose-PET) were assessed with a generalized linear model approach. In both cases, the Bonferroni method of adjustment was used to correct for multiple comparisons. Results The 84 TGs yielded 9 principal components, 2 of which, consisting of long-chain, polyunsaturated fatty acid–containing TGs (PUTGs), were significantly associated with MCI and AD. Lower levels of PUTGs were observed in MCI and AD compared to CN. PUTG principal component scores were also significantly associated with hippocampal volume and entorhinal cortical thickness. In participants carrying the APOE ε4 allele, these principal components were significantly associated with CSF β-amyloid1–42 values and entorhinal cortical thickness. Conclusion This study shows that PUTG component scores were significantly associated with diagnostic group and AD biomarkers, a finding that was more pronounced in APOE ε4 carriers. Replication in independent larger studies and longitudinal follow-up are warranted.