@phdthesis{Vona2014,
  author    = {Vona, Barbara C.},
  title     = {Molecular Characterization of Genes Involved in Hearing Loss},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-98031},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2014},
  abstract  = {The auditory system is an exquisitely complex sensory organ dependent upon the synchronization of numerous processes for proper function. The molecular characterization of hereditary hearing loss is complicated by extreme genetic heterogeneity, wherein hundreds of genes dispersed genome-wide play a central and irreplaceable role in normal hearing function. The present study explores this area on a genome-wide and single gene basis for the detection of genetic mutations playing critical roles in human hearing. This work initiated with a high resolution SNP array study involving 109 individuals. A 6.9 Mb heterozygous deletion on chromosome 4q35.1q35.2 was identified in a syndromic patient that was in agreement with a chromosome 4q deletion syndrome diagnosis. A 99.9 kb heterozygous deletion of exons 58-64 in USH2A was identified in one patient. Two homozygous deletions and five heterozygous deletions in STRC (DFNB16) were also detected. The homozygous deletions alone were enough to resolve the hearing impairment in the two patients. A Sanger sequencing assay was developed to exclude a pseudogene with a high percentage sequence identity to STRC from the analysis, which further solved three of the six heterozygous deletion patients with the hemizygous, in silico predicted pathogenic mutations c.2726A>T (p.H909L), c.4918C>T (p.L1640F), and c.4402C>T (p.R1468X). A single patient who was copy neutral for STRC and without pathogenic copy number variations had compound heterozygous mutations [c. 2303_2313+1del12 (p.G768Vfs*77) and c.5125A>G (p.T1709A)] in STRC. It has been shown that STRC has been previously underestimated as a hearing loss gene. One additional patient is described who does not have pathogenic copy number variation but is the only affected member of his family having hearing loss with a paternally segregating translocation t(10;15)(q26.13;q21.1). Twenty-four patients without chromosomal aberrations and the above described patient with an USH2A heterozygous deletion were subjected to a targeted hearing loss gene next generation sequencing panel consisting of either 80 or 129 hearing-relevant genes. The patient having the USH2A heterozygous deletion also disclosed a second mutation in this gene [c.2276G>T (p.C759F)]. This compound heterozygous mutation is the most likely cause of hearing loss in this patient. Nine mutations in genes conferring autosomal dominant hearing loss [ACTG1 (DFNA20/26); CCDC50 (DFNA44); EYA4 (DFNA10); GRHL2 (DFNA28); MYH14 (DFNA4A); MYO6 (DFNA22); TCF21 and twice in MYO1A (DFNA48)] and four genes causing autosomal recessive hearing loss were detected [GJB2 (DFNB1A); MYO7A (DFNB2); MYO15A (DFNB3), and USH2A]. Nine normal hearing controls were also included. Statistical significance was achieved comparing controls and patients that revealed an excess of mutations in the hearing loss patients compared to the control group. The family with the GRHL2 c.1258-1G>A mutation is only the second family published worldwide with a mutation described in this gene to date, supporting the initial claim of this gene causing DFNA28 hearing loss. Audiogram analysis of five affected family members uncovered the progressive nature of DFNA28 hearing impairment. Regression analysis predicted the annual threshold deterioration in each of the five family members with multiple audiograms available over a number of years.},
  subject      = {Molekularbiologie},
  language  = {en}
}
@phdthesis{Saleh2019,
  author    = {Saleh, Ahmed},
  title     = {The emerging role of stress speckle tracking in viability world},
  doi       = {10.25972/OPUS-18053},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-180536},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2019},
  abstract  = {Introduction: Speckle-tracking echocardiography has recently emerged as a quantitative ultrasound technique for accurately evaluating myocardial function by analyzing the motion of speckles identified. Speckle-tracking obtained under stress may offer an opportunity to improve the detection of dynamic regional abnormalities and myocardial viability. Objective: To evaluate stress speckle tracking as tool to detect myocardial viability in comparison to cardiac MRI in post-STEMI patients. Methods: 49 patients were prospectively enrolled in our 18-month's study. Dobutamin stress echocardiography was performed 4 days post-infarction accompanied with automated functional imaging (Speckle tracking) analysis of left ventricle during rest and then during low dose stress. All patients underwent a follow up stress echocardiography at 6 weeks with speckle tracking analysis. Cardiac MRI took place concomitantly at 4 days post-infarction and 6 weeks. We carried out an assessment of re-admission with acute coronary syndrome (ACS) after one year of enrollment. Results: Investigating strain rate obtained with stress speckle tracking after revascularization predicted the extent of myocardial scar, determined by contrast-enhanced magnetic resonance imaging. A good correlation was found between the global strain and total infarct size (R 0.75, p< 0.001). Furthermore, a clear inverse relationship was found between the segmental strain and the transmural extent of infarction in each segment. (R -0.69, p<0.01). Meanwhile it provided 81.82\% sensitivity and 82.6\% specificity to detect transmural from non-transmural infarction at a cut-off value of -10.15. Global stress strain rate showed 80\% sensitivity and 77.5\% specificity at a cut-off value of -9.1 to predict hospital re-admission with ACS. A cut-off value of -8.4 had shown a 69.23\% sensitivity and 73.5\% specificity to predict the re-admission related to other cardiac symptoms. Conclusion: Strain rate obtained from speckle tracking during stress is a novel method of detecting myocardial viability after STEMI .Moreover it carries a promising role in post-myocardial infarction risk stratification with a reasonable prediction of reversible cardiac-related hospital re-admission.},
  language  = {en}
}
@phdthesis{Akhrif2020,
  author    = {Akhrif, Atae},
  title     = {The BOLD Signal is more than a Brain Activation Index},
  doi       = {10.25972/OPUS-20729},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-207299},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2020},
  abstract  = {In the recent years, translational studies comparing imaging data of animals and humans have gained increasing scientific interests with crucial findings stemming from both, human and animal work. In order to harmonize statistical analyses of data from different species and to optimize the transfer of knowledge between them, shared data acquisition protocols and combined statistical approaches have to be identified. Following this idea, methods of data analysis, which have until now mainly been used to model neural responses of electrophysiological recordings from rodent data, were applied on human hemodynamic responses (i.e. Blood-Oxygen-Level-Dependent BOLD signal) as measured via functional magnetic resonance imaging (fMRI). At the example of two attention and impulsivity networks, timing dynamics and amplitude of the fMRI signal were determined (study 1). Study 2 described the same parameters frequency-specifically, and in study 3, the complexity of neural processing was quantified in terms of fractality. Determined parameters were compared with regard to the subjects' task performance / impulsivity to validate findings with regard to reports of the current scientific debate. In a general discussion, overlapping as well as additional information of methodological approaches were discussed with regard to its potential for biomarkers in the context of neuropsychiatric disorders.},
  subject      = {funktionelle Kernspintomographie},
  language  = {en}
}