Mona Khorani
Postdoctoral Scholar, Anesthesiology, Perioperative and Pain Medicine
Bio
Mona earned a Ph.D. in Analytical Chemistry with a Ph.D. minor in Biological Data Science from Oregon State University. Her research focuses on lipidomics and metabolomics, utilizing advanced techniques such as UHPLC-HRMS/MS as well as data analysis techniques including chemometrics, multivariate analysis, and machine learning. Her work includes investigating biochemical pathways linked to Alzheimer's Disease, studying cognitive effects of X-ray irradiation, and conducting lipidomics analyses related to wound healing.
Currently, Mona is a Postdoctoral Scholar at Stanford University, where she applies spatial omics techniques to analyze biological data and study various diseases. Her research is dedicated to using multi-omics approaches to understand cellular dynamics in diseases such as Inflammatory Bowel Disease (IBD) and Ductal Carcinoma in Situ (DCIS).
Honors & Awards
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NL Tartar Research Project fellowship award, Oregon State University (May 2022)
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Chemistry Grad Student Travel Award, Oregon State University (April 2022)
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NL Tartar Research Project fellowship award, Oregon State University (May 2020)
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Chemistry Grad Student Travel Award, Oregon State University (May 2020)
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David T. Wong Scholarship, Oregon State University (May 2021)
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Ranked 1st and the top student among all M.Sc. graduates in Analytical Chemistry, IKIU (Jun. 2015)
Current Research and Scholarly Interests
Leveraging multi-omics and data analysis to uncover disease mechanisms.
All Publications
- Robust UPLC-MRM-MS workflow that allows combined quantification of oxylipins and PUFAs in a single analysis. ASMS Conference on Mass Spectrometry & Allied Topic. 2023
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The Impact of the hAPP695SW Transgene and Associated Amyloid-β Accumulation on Murine Hippocampal Biochemical Pathways.
Journal of Alzheimer's disease : JAD
2022; 85 (4): 1601-1619
Abstract
Alzheimer's disease (AD) is a neurodegenerative disease characterized by the accumulation of amyloid-β (Aβ) peptide in the brain.To gain a better insight into alterations in major biochemical pathways underlying AD.We compared metabolomic profiles of hippocampal tissue of 20-month-old female Tg2576 mice expressing the familial AD-associated hAPP695SW transgene with their 20-month-old wild type female littermates.The hAPP695SW transgene causes overproduction and accumulation of Aβ in the brain. Out of 180 annotated metabolites, 54 metabolites differed (30 higher and 24 lower in Tg2576 versus wild-type hippocampal tissue) and were linked to the amino acid, nucleic acid, glycerophospholipid, ceramide, and fatty acid metabolism. Our results point to 1) heightened metabolic activity as indicated by higher levels of urea, enhanced fatty acid β-oxidation, and lower fatty acid levels; 2) enhanced redox regulation; and 3) an imbalance of neuro-excitatory and neuro-inhibitory metabolites in hippocampal tissue of aged hAPP695SW transgenic mice.Taken together, our results suggest that dysregulation of multiple metabolic pathways associated with a concomitant shift to an excitatory-inhibitory imbalance are contributing mechanisms of AD-related pathology in the Tg2576 mouse.
View details for DOI 10.3233/JAD-215084
View details for PubMedID 34958022
View details for PubMedCentralID PMC9584213
- Low dose x-ray radiation effects on proteomic profiles of hippocampus, cortex, and cerebellum of fear-conditioned mice ASMS Conference on Mass Spectrometry & Allied Topics. 2022
- LC–HRMS/MS Untargeted Metabolomics to Identify Effects of Centella asiatica on Hippocampal Metabolites of Tg2576 Mice and their Wild-type Littermates. ASMS Conference on Mass Spectrometry & Allied Topics. 2022
- Gangliosidomics - Identification And Screening Of Gangliosides In Mouse Brain Cortex Using Ultra-Performance Liquid Chromatography High-Resolution Mass Spectrometry (UPLC-MSE). ASMS Conference on Mass Spectrometry & Allied Topics. 2020
- GNPS Enables Metabolite Discovery Associated with GABA Neurotransmitters in the Hippocampus of Mice Brain. Linus Pauling Institute’s 10th International Conference (LPIIC). 2019
- Diagnosis of brain glioma using Near-Infrared Micro-Spectroscopy comparing partial least squares discriminant analysis and target factor analysis. 5th Iranian Biennial Chemometrics Seminar. 2016
- Most common techniques of outlier detection. Current Applications of Chemometrics. edited by Khanmohammadi, M. Nova Science Publishers. 2015
- Near-Infrared micro-spectroscopy for diagnosis of brain gliomas: role of unsupervised Chemometrics approach. 21st Iranian Conference on Analytical Chemistry. 2015
- Diagnosis of brain gliomas using near-infrared microspectroscopy: role of supervised Chemometrics approach. 2𝑛𝑑 Iranian Student Chemistry Conference. 2015