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Articles by Y An
Total Records ( 2 ) for Y An
  Z. K Ahmad , X Altuna , J. P Lopez , Y An , J Wang Rodriguez , V. R Juneja , J. S Chen , M. J Arandazi , J Aguilera , J. P Harris and W. M. Ongkeko
 

Objectives  To determine the expression of the p53 family member p73 in vestibular schwannoma (VS) and to determine the potential role of this tumor suppressor in regulating the proliferation of HEI193, a human papillomavirus E6-E7 immortalized VS cell line.

Methods  Immunohistochemical staining was used to investigate the expression of p73 in 34 cases of archived VS tissue, while Western blot analysis and immunofluorescence were performed to demonstrate the expression and localization of p73 in HEI193. After transfection of a full-length p73 plasmid (TAp73), flow cytometry analysis was performed to determine the effect of p73 expression on cell cycle distribution, while annexin V–FITC (fluorescein isothiocyanate) analysis and TUNEL (terminal deoxynucleotidyltransferase-mediated dUTP nick-end labeling) assay were used to measure apoptosis. The effect of p73 expression on ionizing radiation–induced cell death was also investigated with annexin V staining, TUNEL assay, and flow cytometry analysis.

Results  Of the 34 vestibular schwannoma tissues examined, p73 was expressed in 14 (41%) but was not expressed in HEI193. Transfection of p73 alone resulted in increased apoptosis and necrosis, and G1 accumulation with concomitant induction of p21. The presence of p73 also significantly increased early apoptosis (P = .046), late apoptosis (P < .001), and necrosis (P = .009) on exposure of the HEI193 cells to ionizing radiation.

Conclusion  Forced expression of p73, perhaps by gene therapy, to induce apoptosis directly or to sensitize VS tumors to ionizing radiation may have relevant therapeutic applications.

  C Davatzikos , F Xu , Y An , Y Fan and S. M. Resnick
 

A challenge in developing informative neuroimaging biomarkers for early diagnosis of Alzheimer's disease is the need to identify biomarkers that are evident before the onset of clinical symptoms, and which have sufficient sensitivity and specificity on an individual patient basis. Recent literature suggests that spatial patterns of brain atrophy discriminate amongst Alzheimer's disease, mild cognitive impairment (MCI) and cognitively normal (CN) older adults with high accuracy on an individual basis, thereby offering promise that subtle brain changes can be detected during prodromal Alzheimer's disease stages. Here, we investigate whether these spatial patterns of brain atrophy can be detected in CN and MCI individuals and whether they are associated with cognitive decline. Images from the Alzheimer's Disease Neuroimaging Initiative (ADNI) were used to construct a pattern classifier that recognizes spatial patterns of brain atrophy which best distinguish Alzheimer's disease patients from CN on an individual person basis. This classifier was subsequently applied to longitudinal magnetic resonance imaging scans of CN and MCI participants in the Baltimore Longitudinal Study of Aging (BLSA) neuroimaging study. The degree to which Alzheimer's disease-like patterns were present in CN and MCI subjects was evaluated longitudinally in relation to cognitive performance. The oldest BLSA CN individuals showed progressively increasing Alzheimer's disease-like patterns of atrophy, and individuals with these patterns had reduced cognitive performance. MCI was associated with steeper longitudinal increases of Alzheimer's disease-like patterns of atrophy, which separated them from CN (receiver operating characteristic area under the curve equal to 0.89). Our results suggest that imaging-based spatial patterns of brain atrophy of Alzheimer's disease, evaluated with sophisticated pattern analysis and recognition methods, may be useful in discriminating among CN individuals who are likely to be stable versus those who will show cognitive decline. Future prospective studies will elucidate the temporal dynamics of spatial atrophy patterns and the emergence of clinical symptoms.

 
 
 
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