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- Alcohol-associated hepatitis (1)
- Anomaly detection (1)
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Articles 1 - 6 of 6
Full-Text Articles in Physical Sciences and Mathematics
Peripheral Blood Mononuclear Cell Mitochondrial Dysfunction In Acute Alcohol-Associated Hepatitis, Annette Bellar, Nicole Welch, Jaividhya Dasarathy, Amy Attaway, Ryan Musich, Avinash Kumar, Jinendiran Sekar, Saurabh Mishra, Yana I. Sandlers, Et. Al
Peripheral Blood Mononuclear Cell Mitochondrial Dysfunction In Acute Alcohol-Associated Hepatitis, Annette Bellar, Nicole Welch, Jaividhya Dasarathy, Amy Attaway, Ryan Musich, Avinash Kumar, Jinendiran Sekar, Saurabh Mishra, Yana I. Sandlers, Et. Al
Chemistry Faculty Publications
Background: Patients with acute alcohol-associated hepatitis (AH) have immune dysfunction. Mitochondrial function is critical for immune cell responses and regulates senescence. Clinical translational studies using complementary bioinformatics-experimental validation of mitochondrial responses were performed in peripheral blood mononuclear cells (PBMC) from patients with AH, healthy controls (HC), and heavy drinkers without evidence of liver disease (HD).
Methods: Feature extraction for differentially expressed genes (DEG) in mitochondrial components and telomere regulatory pathways from single-cell RNAseq (scRNAseq) and integrated 'pseudobulk' transcriptomics from PBMC from AH and HC (n = 4 each) were performed. After optimising isolation and processing protocols for functional studies in …
Development And Validation Of A Liquid Chromatography-Tandem Mass Spectrometry Method For The Determination Of Temozolomide In Mouse Brain Tissue, Raghavi Kakarla, Kimberly Yacoub, Rebecca L. Bearden, Aimin Zhou, Sanjib Mukherjee, Frank Y. Shan, Baochuan Guo
Development And Validation Of A Liquid Chromatography-Tandem Mass Spectrometry Method For The Determination Of Temozolomide In Mouse Brain Tissue, Raghavi Kakarla, Kimberly Yacoub, Rebecca L. Bearden, Aimin Zhou, Sanjib Mukherjee, Frank Y. Shan, Baochuan Guo
Chemistry Faculty Publications
Temozolomide is a Food and Drug Administration-approved anticancer drug that has poor drug delivery via oral or intravenous routes. A potential strategy to combat this problem is investigating alternative routes of administration, requiring quantitation of the drug in the brain tissues by liquid chromatography-mass spectrometry. However, current methods used to extract the drug from brain tissues resulted in poor recovery and substantial matrix effects. Herein, we reported a new two-step extraction method that involves the use of Proteinase K to lyse tumor tissues to efficiently release the drug, followed by ethanol protein precipitation. The extracts were then separated on a …
Investigation Of Cofactor Activities Of Endothelial Microparticle- Thrombomodulin With Liposomal Surrogate, Valentinas Gruzdys, Lin Wang, Dan Wang, Rachel Huang, Xue-Long Sun
Investigation Of Cofactor Activities Of Endothelial Microparticle- Thrombomodulin With Liposomal Surrogate, Valentinas Gruzdys, Lin Wang, Dan Wang, Rachel Huang, Xue-Long Sun
Chemistry Faculty Publications
Thrombomodulin (TM) is a type I transmembrane glycoprotein mainly expressed on the endothelial cells, where it binds thrombin to form the thrombin-TM complex that can activate protein C and thrombin-activable fibrinolysis inhibitor (TAFI) and induce anticoagulant and anti-fibrinolytic reactions, respec-tively. Cell activation and injury often sheds microparticles that contain membrane TM, which circulate in biofluids like blood. However, the biological function of circulating microparticle-TM is still unknown even though it has been recognized as a biomarker of endothelial cell injury and damage. In comparison with cell membrane, different phospholipids are exposed on the microparticle surface due to cell membrane "flip-flop"upon …
Inducible Nitric Oxide Synthase Embedded In Alginate/Polyethyleneimine Hydrogel As A New Platform To Explore No-Driven Modulation Of Biological Function, Shaimaa Maher, Lauren A. Smith, Celine A. El-Khoury, Haitham F. Kalil, Khalid Sossey-Alaoui, Mekki Bayachou
Inducible Nitric Oxide Synthase Embedded In Alginate/Polyethyleneimine Hydrogel As A New Platform To Explore No-Driven Modulation Of Biological Function, Shaimaa Maher, Lauren A. Smith, Celine A. El-Khoury, Haitham F. Kalil, Khalid Sossey-Alaoui, Mekki Bayachou
Chemistry Faculty Publications
Nitric oxide (NO), a small free radical molecule, turned out to be pervasive in biology and was shown to have a substantial influence on a range of biological activities, including cell growth and apoptosis. This molecule is involved in signaling and affects a number of physiologic functions. In recent decades, several processes related to cancer, such as angiogenesis, programmed cell death, infiltration, cell cycle progression, and metastasis, have been linked with nitric oxide. In addition, other parallel work showed that NO also has the potential to operate as an anti-cancer agent. As a result, it has gained attention in cancer-related …
A Survey Of Wearable Devices Pairing Based On Biometric Signals, Jafar Pourbemany, Ye Zhu, Riccardo Bettati
A Survey Of Wearable Devices Pairing Based On Biometric Signals, Jafar Pourbemany, Ye Zhu, Riccardo Bettati
Electrical and Computer Engineering Faculty Publications
With the rapid growth of wearable devices, more applications require direct communication between wearable devices. To secure the communication between wearable devices, various pairing protocols have been proposed to generate common keys for encrypting the communication. Since the wearable devices are attached to the same body, the devices can generate common keys based on the same context by utilizing onboard sensors to capture a common biometric signal such as body motion, gait, heartbeat, respiration, and EMG signals. The context-based pairing does not need prior information to generate common keys. As context-based pairing does not need any human involvement in the …
Network Intrusion Detection With Two-Phased Hybrid Ensemble Learning And Automatic Feature Selection, Asanka Kavinda Mananayaka, Sunnie S. Chung
Network Intrusion Detection With Two-Phased Hybrid Ensemble Learning And Automatic Feature Selection, Asanka Kavinda Mananayaka, Sunnie S. Chung
Electrical and Computer Engineering Faculty Publications
The use of network connected devices has grown exponentially in recent years revolutionizing our daily lives. However, it has also attracted the attention of cybercriminals making the attacks targeted towards these devices increase not only in numbers but also in sophistication. To detect such attacks, a Network Intrusion Detection System (NIDS) has become a vital component in network applications. However, network devices produce large scale high-dimensional data which makes it difficult to accurately detect various known and unknown attacks. Moreover, the complex nature of network data makes the feature selection process of a NIDS a challenging task. In this study, …