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Histologic, immunohistochemical, and molecular features of pituicytomas and atypical pituicytomas

Angela N. Viaene, Edward B. Lee, Jason N. Rosenbaum, Ilya M. Nasrallah, MacLean P. Nasrallah
2019 Acta Neuropathologica Communications  
(T96 M) PTCH1 c.3617G > A p.  ...  Y N 3.1 (MRI) Y Y 95% 8.4 N Y N 2 F 41 Y Y N 1.9 (MRI) Y Y - 1.2 N Y N 3 M 64 Y N N 3.5 (MRI) Y Y 70% 3.8 N Y N 4 M 49 N Y N 1.0 (MRI) N Y 30% 2.8 N Y N 5 F 30 Y N N 1.7 (MRI) Y Y GTR 1.5 N Y N 6 F 48  ... 
doi:10.1186/s40478-019-0722-6 pmid:31046843 pmcid:PMC6498683 fatcat:oy7pnmqlyvbatdlxyxsbspt2oq

Mimosine Attenuates Serine Hydroxymethyltransferase Transcription by Chelating Zinc

Cheryll Perry, Renuka Sastry, Ilya M. Nasrallah, Patrick J. Stover
2004 Journal of Biological Chemistry  
(control) 100 M mimosine.  ...  supplemented with 4 M zinc (referred to as (-Zn/␣MEM) ϩ Zn).  ... 
doi:10.1074/jbc.m410467200 pmid:15531579 fatcat:bmx4y3e3izh57nlnber3b65dem

Methenyltetrahydrofolate Synthetase Regulates Folate Turnover and Accumulation

Montserrat C. Anguera, Jae Rin Suh, Haifa Ghandour, Ilya M. Nasrallah, Jacob Selhub, Patrick J. Stover
2003 Journal of Biological Chemistry  
Measurements were made from cells cultured to 70% confluence in ␣MEM that contains 2 M folic acid.  ...  The cells were seeded in triplicate (0.3-1 ϫ 10 6 ) into 100-mm culture plates containing 10 ml of ␣MEM supplemented with 2 M folic acid.  ... 
doi:10.1074/jbc.m302883200 pmid:12764149 fatcat:ubsvzpveuneq7gxxoqu4aymqgq

Mimosine Is a Cell-specific Antagonist of Folate Metabolism

Emia W. Oppenheim, Ilya M. Nasrallah, Maria G. Mastri, Patrick J. Stover
2000 Journal of Biological Chemistry  
MCF-7 cells cultured in the presence of 350 M mimosine were growth-arrested, whereas mimosine had no effect on SH-SY5Y cell proliferation.  ...  Cells were pretreated for 20 h with ␣MEM or ␣MEM containing 350 M mimosine, 150 M DFO, or 350 M tyrosine.  ...  acid, 300 M mimosine, 12 h 27 Ϯ 8 4 5Ϯ 7 5Ϯ 1 1 2 Ϯ 2 300 M mimosine; 72 h 20 nM [ 3 H]folinic acid, 300 M mimosine, 12 h 34 Ϯ 2 1 7Ϯ 3 4Ϯ 2 4 5 Ϯ 3 TABLE II II Effect of mimosine on SAM  ... 
doi:10.1074/jbc.m001610200 pmid:10766749 fatcat:kazqi4bzxjhwbn6vhme5brdp5q

Harmonizing Functional Connectivity Reduces Scanner Effects in Community Detection [article]

Andrew A. Chen, Dhivya Srinivasan, Raymond Pomponio, Yong Fan, Ilya M. Nasrallah, Susan M. Resnick, Lori L. Beason-Held, Christos Davatzikos, Theodore D. Satterthwaite, Dani S. Bassett, Russell T. Shinohara, Haochang Shou
2021 bioRxiv   pre-print
. , M , j = 1, 2, . . . , n i , M is the number of scanners, and n i is the number of subjects acquired at scanner i, and the variables αv , x T ij , βv , γ * iv , and δ * iv are the same as in FC-ComBat  ...  CovBat performs principal components analysis (PCA) on the full data residuals and represents the full data covariance matrix as Σ = q k=1 λ k φ k φ T k where the rank q = min( M i=1 n i , p), λ k are  ... 
doi:10.1101/2021.12.03.469269 fatcat:o6u474d77zdvjnuevs7vr2hn4m

Advanced structural multimodal imaging of a patient with subcortical band heterotopia

Lohith G. Kini, Ilya M. Nasrallah, Carlos Coto, Lindsay C. Ferraro, Kathryn A. Davis
2016 Epilepsia Open  
Subcortical band heterotopia (SBH) is a disorder of neuronal migration most commonly due to mutations of the Doublecortin (DCX) gene. A range of phenotypes is seen, with most patients having some degree of epilepsy and intellectual disability. Advanced diffusion and structural magnetic resonance imaging (MRI) sequences may be useful in identifying heterotopias and dysplasias of different sizes in drug-resistant epilepsy. We describe a patient with SBH and drug-resistant epilepsy and investigate
more » ... neurite density, neurite dispersion, and diffusion parameters as compared to a healthy control through the use of multiple advanced MRI modalities. Neurite density and dispersion in heterotopia was found to be more similar to white matter than to gray matter. Neurite density and dispersion maps obtained using diffusion imaging may be able to better characterize different subtypes of heterotopia.
doi:10.1002/epi4.12019 pmid:28413838 pmcid:PMC5387998 fatcat:3jg7kz265rdutprag6m4vi4zie

Characterizing a perfusion-based periventricular small vessel region of interest

Sudipto Dolui, Dylan Tisdall, Marta Vidorreta, David R. Jacobs, Ilya M. Nasrallah, R. Nick Bryan, David A. Wolk, John A. Detre
2019 NeuroImage: Clinical  
The periventricular white matter (PVWM) is supplied by terminal distributions of small vessels and is particularly susceptible to developing white matter lesions (WML) associated with cerebral small vessel disease (CSVD). We obtained group-averaged cerebral blood flow (CBF) maps from Arterial Spin Labeled (ASL) perfusion MRI data obtained in 436 middle-aged (50.4 ± 3.5 years) subjects in the NHLBI CARDIA study and in 61 elderly (73.3 ± 6.9 years) cognitively normal subjects recruited from the
more » ... nn Alzheimer's Disease Center (ADC) and found that the lowest perfused brain voxels are located within the PVWM. We constructed a white matter periventricular small vessel (PSV) region of interest (ROI) by empirically thresholding the group averaged CARDIA CBF map at CBF < 15 ml/100 g/min. Thereafter we compared CBF in the PSV ROI and in the remaining white matter (RWM) with the location and volume of WML measured with Fluid Attenuated Inversion Recovery (FLAIR) MRI. WM CBF was lower within WML than outside WML voxels (p < <0.0001) in both the PSV and RWM ROIs, however this difference was much smaller (p < <0.0001) in the PSV ROI than in the RWM suggesting a more homogenous reduction of CBF in the PSV region. Normalized WML volumes were significantly higher in the PSV ROI than in the RWM and in the elderly cohort as compared to the middle-aged cohort (p < <0.0001). Additionally, the PSV ROI showed a significantly (p = .001) greater increase in lesion volume than the RWM in the elderly ADC cohort than the younger CARDIA cohort. Considerable intersubject variability in PSV CBF observed in both study cohorts likely represents biological variability that may be predictive of future WML and/or cognitive decline. In conclusion, a data-driven PSV ROI defined by voxels with low perfusion in middle age defines a region with homogeneously reduced CBF that is particularly susceptible to progressive ischemic injury in elderly controls. PSV CBF may provide a mechanistically specific biomarker of CSVD.
doi:10.1016/j.nicl.2019.101897 pmid:31233954 pmcid:PMC6595083 fatcat:auvcxqeio5egnfyvxguaeuhwjq

Identification of Arx transcriptional targets in the developing basal forebrain

Carl T. Fulp, Ginam Cho, Eric D. Marsh, Ilya M. Nasrallah, Patricia A. Labosky, Jeffrey A. Golden
2008 Human Molecular Genetics  
Briefly, sections were washed in 0.1 M tris buffer saline (TBS), endogenous peroxidases were quenched and non-specific binding was blocked with 5% normal horse serum and 0.3% Triton-X (Sigma) in TBS.  ...  To validate the predicted expression data, in situ hybridization images of E14.5 embryonic brain were downloaded from the GenePaint web site for (K) Cxcr4, (L) Mef2c, (M) Sox8, (N) Zfp503 and (O) Ebf1.  ... 
doi:10.1093/hmg/ddn271 pmid:18799476 pmcid:PMC2581427 fatcat:cgtdpj7fwvephfkr7zdfaq7sxm

Race, sex, and mid‐life changes in brain health: Cardia MRI substudy

Justine E.F. Moonen, Ilya M. Nasrallah, John A. Detre, Sudipto Dolui, Guray Erus, Christos Davatzikos, Osorio Meirelles, R. Nick Bryan, Lenore J. Launer
2022 Alzheimer's & Dementia  
Body mass index (BMI) calculated from measured body weight and height (kg/m 2 ). Diet was quantified with the dietary assessment at Y20.  ...  Nasrallah has received grants or contracts of the Foundation of the ASNR, NIH, all paid to the University of Pennsylvania Health System and has received consulting fees from Biogen. J.A.  ... 
doi:10.1002/alz.12560 pmid:35142033 pmcid:PMC9360196 fatcat:ihhm2s74ejdgxj2bbntm5juz5m

A polyalanine tract expansion in Arx forms intranuclear inclusions and results in increased cell death

Ilya M. Nasrallah, Jeremy C. Minarcik, Jeffrey A. Golden
2004 Journal of Cell Biology  
Bar: (a and b) 25 m; (c-e) 10 m.  ...  Bar: (b-g) 12 m; (h and i) 2 m; and (j and k) 700 nm.  ... 
doi:10.1083/jcb.200408091 pmid:15533998 pmcid:PMC2172475 fatcat:6pwyh3czobfu7bq2vldniy56sm

Cholesterol, Atherosclerosis, and APOE in Vascular Contributions to Cognitive Impairment and Dementia (VCID): Potential Mechanisms and Therapy

Michael Tran Duong, Ilya M. Nasrallah, David A. Wolk, Catherine C. Y. Chang, Ta-Yuan Chang
2021 Frontiers in Aging Neuroscience  
., 2018; Nasrallah et al., 2019) .  ... 
doi:10.3389/fnagi.2021.647990 pmid:33841127 pmcid:PMC8026881 fatcat:qfde6e5e3ndlfdpynbn7oiyezy

Relative differences in resting-state brain connectivity associated with long term intensive lifestyle intervention

Ramon Casanova, Satoru Hayasaka, Santiago Saldana, Nick R. Bryan, Kathryn E. Demos, Lisa Desiderio, Kirk I. Erickson, Mark A. Espeland, Ilya M. Nasrallah, Thomas Wadden, Paul J. Laurienti
2016 Psychoneuroendocrinology  
At baseline (2001) (2002) (2003) (2004) , participants had T2DM, age between 45-76 years, body mass index ≥25 kg/m 2 (≥27 kg/m 2 if taking insulin), HbA1c <11%, systolic blood pressure <160 mmHg, diastolic  ... 
doi:10.1016/j.psyneuen.2016.09.016 pmid:27685338 pmcid:PMC5159283 fatcat:6srx47sov5gpfg6i7ez4qq2asa

Race and sex differences in midlife changes in cerebral volume and perfusion

Justine E. Moonen, Ilya M. Nasrallah, John A. Detre, Sudipto Dolui, Guray Erus, Christos Davatzikos, Osorio Meirelles, R.N. Bryan, Lenore J. Launer
2020 Alzheimer's & Dementia  
Cross-sectional demographic differences in MRI markers of brain health are well established, but less is known about differences in rates of change, particularly in mid-life. We assessed demographic differences in midlife change of MRI measures of gray matter (GM) volume and perfusion, which are important early markers of late-life cognitive decline. We also assess the extent to which cardiovascular risk factors explain demographic differences. Method: Data are from a subsample attending the 25
more » ... and 30 year follow-up MRI exams [n=478] of Coronary Artery Risk Development in Young Adults (CARDIA), a community-based cohort study at 3 USA-based centers. Structural 3T MRI was used to quantify total GM as percent of intracranial volume. GM cerebral blood flow (CBF, ml/100gr/min) was measured using pseudo-continuous arterial spin labeling. To test for interaction between race and sex, multiple linear regression analysis was used entering MRI feature at follow-up as dependent variable and as independent variables: MRI feature at baseline, center, age, sex, race and the interaction term(race*sex). Next, MRI features at follow-up were compared amongst groups of race/sex with ANCOVA, adjusting for baseline MRI feature, center, age and additionally for cardiovascular health(CVH) according to the American Heart Association Life's Simple 7(LS7) metric. Result: The sample had mean baseline age 50.4(SD 3.5) years, 48.1% male, and 38.3% black. Over the 5-year follow-up period, GM volume and CBF significantly declined. Significant interaction between race and sex was observed for GM (P-interaction=0.0041), such that black men demonstrated a significantly larger volumetric decline than black women, whereas no significant sex differences were observed in whites. Race*sex interaction was also observed for CBF (P-interaction=0.023), such that men demonstrated a significantly larger decline in perfusion than women in both races, which associations were more pronounced in blacks. Adjustment for LS7-CVH metric attenuated results slightly but reported associations remained significant. Conclusion: Our results indicate sex/race specific patterns of midlife decline in cerebral GM volume and in perfusion, which were not fully explained by prevalent cardio-
doi:10.1002/alz.040248 fatcat:n452qadzlvhu3ctjypsfwm2yky

Flare phenomenon in O-(2-[(18)F]-Fluoroethyl)-L-Tyrosine PET after resection of gliomas: potential contribution from postoperative ischemia

S. Ali Nabavizadeh, Ilya M Nasrallah, Daniel A Pryma
2020 Journal of Nuclear Medicine  
Reported Differences Between Digital and Analog PET/CT Studies TO THE EDITOR: We read with interest the recent article by Koopman et al. entitled "Performance of Digital PET Compared with High-Resolution Conventional PET in Patients with Cancer" (1) published in the October issue of The Journal of Nuclear Medicine, describing the improved performance of the digital PET compared with the high-resolution analog PET in the detection of small lesions and image quality, which allows disease
more » ... . These results are in line with our previous published data, showing superior performance of the digital PET/CT over the analog PET/CT in the detection rate and image quality in a group of oncologic (2) and nononcologic patients. In the discussion section, Koopman et al. indicated that our study showed 22 additional small lesions (,10 mm) on digital PET images in 100 oncologic patients. Indeed, the detection performance was even superior since in 17 out of the 100 oncologic patients, neither the digital nor the analog PET/CT revealed radiotracer uptake suggestive of malignancy (PET-negative). Therefore, the detection performance of the digital PET/CT was superior to the analog PET/CT in detecting subcentimeter lesions (,10 mm) in 22 out of the 83 PET-positive patients (26.5%) (P 5 0.05, 95% confidence interval, 17.9-36.7). In addition, the authors considered invalid another previous study coming from our laboratory comparing the SUV max between the digital PET/CT and the analog PET/CT (3) because of the differences in reconstruction parameters between both systems. It is well known that various technical and physics issues, such as detector performance, voxel size, and reconstruction parameters, influence SUV measurements. However, the aim of our study was not to evaluate the influence of such factors on SUV measurements, but to compare under standard clinical conditions the values rendered by both systems. The results of Koopman et al. (1) are again in line with our previous results showing increase of the SUV max in the digital PET/CT as compared with the analog PET/CT. Koopman et al. compared digital and analog PET/CT using high-resolution reconstructions for both systems, whereas our study compared digital and analog PET/CT under standard clinical conditions as provided by the vendor (digital PET using high-resolution reconstructions and analog PET using standard-resolution reconstructions). We believe that in the next years, digital PET/CT will coexist with analog PET/CT, and differences in performance and SUV measurements must be considered in follow-up studies. Differences in clinical and research performance will guide the selection of the appropriate system for future given indications, with impact on the diagnosis and therapy assessment of oncologic and nononcologic diseases.
doi:10.2967/jnumed.120.251116 pmid:32646882 fatcat:52fq55ljbzfmvm4yq4b4slybba

Disentangling Alzheimer's disease neurodegeneration from typical brain aging using machine learning [article]

Gyujoon Hwang, Ahmed Abdulkadir, Guray Erus, Mohamad Habes, Raymond Pomponio, Haochang Shou, Jimit Doshi, Elizabeth Mamourian, Tanweer Rashid, Murat Bilgel, Yong Fan, Aristeidis Sotiras (+9 others)
2021 arXiv   pre-print
Nasrallah was an educational speaker for Biogen. Dr.  ... 
arXiv:2109.03723v1 fatcat:q3yaojhwizenraacuju455nulu
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