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594 results on '"Stern, Andrew"'

2. Analysis of weather impacts on traffic flow in metropolitan Washington DC

Author

Stern, Andrew D.

Subjects
Traffic flow -- Washington Metropolitan Area., Traffic flow -- Measurement. -- Washington Metropolitan Area, Automobile driving in bad weather., Automobile driving in rain -- Washington Metropolitan Area., Traffic patterns -- Washington Metropolitan Area., Travel time (Traffic engineering) -- Washington Metropolitan Area., Automobile driving in bad weather., Automobile driving in rain., Traffic flow., Traffic flow -- Measurement., Traffic patterns.
Published
2003

5. A high-tech, low-cost, Internet of Things surfboard fin for coastal citizen science, outreach, and education

Author

Bresnahan, Philip, Cyronak, Tyler, Brewin, Robert JW, Andersson, Andreas, Wirth, Taylor, Martz, Todd, Courtney, Travis, Hui, Nathan, Kastner, Ryan, Stern, Andrew, McGrain, Todd, Reinicke, Danica, Richard, Jon, Hammond, Katherine, and Waters, Shannon

Subjects
Earth Sciences, Oceanography, Life Below Water, Coastal oceanography, Citizen science, Surfing, Sea surface temperature, Outreach, Biological Sciences, Biological sciences, Earth sciences
Published
2022

9. Comparison of Wild-Type and High-risk PNPLA3 variants in a Human Biomimetic Liver Microphysiology System for Metabolic Dysfunction-associated Steatotic Liver Disease Precision Therapy

Author

Xia, Mengying, primary, Varmazyad, Maboubeh, additional, Palacin, Iris Pla, additional, Gavlock, Dillon C, additional, Debiasio, Richard, additional, LaRocca, Gregory, additional, Reese, Celeste, additional, Florentino, Rodrigo, additional, Faccioli, Lanuza A.P., additional, Brown, Jacquelyn A., additional, Vernetti, Lawrence A., additional, Schurdak, Mark E., additional, Stern, Andrew M., additional, Gough, Albert, additional, Behari, Jaideep, additional, Soto-Gutierrez, Alejandro, additional, Taylor, D. Lansing, additional, and Miedel, Mark, additional

Published
2024
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10. A metabolic-dysfunction associated steatotic liver acinus biomimetic induces pancreatic islet dysfunction in a coupled microphysiology system

Author

Aleman, Julio, primary, K, Ravikumar, additional, Wiegand, Connor, additional, Schurdak, Mark E, additional, Vernetti, Lawrence, additional, Gavlock, Dillon, additional, Reese, Celeste, additional, DeBiasio, Richard, additional, LaRocca, Greg, additional, Angarita, Yulder Daniel, additional, Gough, Albert, additional, Soto-Gutierrez, Alejandro, additional, Behari, Jaideep, additional, Miedel, Mark T, additional, Stern, Andrew M, additional, Banerjee, Ipsita, additional, and Taylor, D. Lansing, additional

Published
2024
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13. Harnessing Human Microphysiology Systems as Key Experimental Models for Quantitative Systems Pharmacology

Author

Taylor, D. Lansing, Gough, Albert, Schurdak, Mark E., Vernetti, Lawrence, Chennubhotla, Chakra S., Lefever, Daniel, Pei, Fen, Faeder, James R., Lezon, Timothy R., Stern, Andrew M., Bahar, Ivet, Barrett, James E., Editor-in-Chief, Flockerzi, Veit, Editorial Board Member, Frohman, Michael A., Editorial Board Member, Geppetti, Pierangelo, Editorial Board Member, Hofmann, Franz B., Editorial Board Member, Michel, Martin C., Editorial Board Member, Page, Clive P., Editorial Board Member, Rosenthal, Walter, Editorial Board Member, and Wang, KeWei, Editorial Board Member

Published
2019
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16. Plasma NT1‐tau and Aβ42 correlate with age and cognitive function in two large Down syndrome cohorts.

Author

Stern, Andrew M., Van Pelt, Kathryn L., Liu, Lei, Anderson, Amirah K., Ostaszewski, Beth, Mapstone, Mark, O'Bryant, Sid, Petersen, Melissa E., Christian, Bradley T., Handen, Benjamin L., Selkoe, Dennis J., Schmitt, Frederick, and Head, Elizabeth

Abstract

INTRODUCTION: People with Down syndrome (DS) often develop Alzheimer's disease (AD). Here, we asked whether ultrasensitive plasma immunoassays for a tau N‐terminal fragment (NT1‐tau) and Aβ isoforms predict cognitive impairment. METHODS: Plasma NT1‐tau, Aβ37, Aβ40, and Aβ42 levels were measured in a longitudinal discovery cohort (N = 85 participants, 220 samples) and a cross‐sectional validation cohort (N = 239). We developed linear models and predicted values in the validation cohort. RESULTS: Discovery cohort linear mixed models for NT1‐tau, Aβ42, and Aβ37:42 were significant for age; there was no main effect of time. In cross‐sectional models, NT1‐tau increased and Aβ42 decreased with age. NT1‐tau predicted cognitive and functional scores. The discovery cohort linear model for NT1‐tau predicted levels in the validation cohort. DISCUSSION: NT1‐tau correlates with age and worse cognition in DS. Further validation of NT1‐tau and other plasma biomarkers of AD neuropathology in DS cohorts is important for clinical utility. [ABSTRACT FROM AUTHOR]

Published
2023
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22. Supplementary Figure 6 from Targeting NAD+ Biosynthesis Overcomes Panobinostat and Bortezomib-Induced Malignant Glioma Resistance

Author

Jane, Esther P., primary, Premkumar, Daniel R., primary, Thambireddy, Swetha, primary, Golbourn, Brian, primary, Agnihotri, Sameer, primary, Bertrand, Kelsey C., primary, Mack, Stephen C., primary, Myers, Max I., primary, Chattopadhyay, Ansuman, primary, Taylor, D. Lansing, primary, Schurdak, Mark E., primary, Stern, Andrew M., primary, and Pollack, Ian F., primary

Published
2023
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23. Supplementary File 1 from Targeting NAD+ Biosynthesis Overcomes Panobinostat and Bortezomib-Induced Malignant Glioma Resistance

Author

Jane, Esther P., primary, Premkumar, Daniel R., primary, Thambireddy, Swetha, primary, Golbourn, Brian, primary, Agnihotri, Sameer, primary, Bertrand, Kelsey C., primary, Mack, Stephen C., primary, Myers, Max I., primary, Chattopadhyay, Ansuman, primary, Taylor, D. Lansing, primary, Schurdak, Mark E., primary, Stern, Andrew M., primary, and Pollack, Ian F., primary

Published
2023
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24. Supplementary File 5 from Targeting NAD+ Biosynthesis Overcomes Panobinostat and Bortezomib-Induced Malignant Glioma Resistance

Author

Jane, Esther P., primary, Premkumar, Daniel R., primary, Thambireddy, Swetha, primary, Golbourn, Brian, primary, Agnihotri, Sameer, primary, Bertrand, Kelsey C., primary, Mack, Stephen C., primary, Myers, Max I., primary, Chattopadhyay, Ansuman, primary, Taylor, D. Lansing, primary, Schurdak, Mark E., primary, Stern, Andrew M., primary, and Pollack, Ian F., primary

Published
2023
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25. Supplementary File 3 from Targeting NAD+ Biosynthesis Overcomes Panobinostat and Bortezomib-Induced Malignant Glioma Resistance

Author

Jane, Esther P., primary, Premkumar, Daniel R., primary, Thambireddy, Swetha, primary, Golbourn, Brian, primary, Agnihotri, Sameer, primary, Bertrand, Kelsey C., primary, Mack, Stephen C., primary, Myers, Max I., primary, Chattopadhyay, Ansuman, primary, Taylor, D. Lansing, primary, Schurdak, Mark E., primary, Stern, Andrew M., primary, and Pollack, Ian F., primary

Published
2023
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26. Supplementary File 4 from Targeting NAD+ Biosynthesis Overcomes Panobinostat and Bortezomib-Induced Malignant Glioma Resistance

Author

Jane, Esther P., primary, Premkumar, Daniel R., primary, Thambireddy, Swetha, primary, Golbourn, Brian, primary, Agnihotri, Sameer, primary, Bertrand, Kelsey C., primary, Mack, Stephen C., primary, Myers, Max I., primary, Chattopadhyay, Ansuman, primary, Taylor, D. Lansing, primary, Schurdak, Mark E., primary, Stern, Andrew M., primary, and Pollack, Ian F., primary

Published
2023
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27. Data from Targeting NAD+ Biosynthesis Overcomes Panobinostat and Bortezomib-Induced Malignant Glioma Resistance

Author

Jane, Esther P., primary, Premkumar, Daniel R., primary, Thambireddy, Swetha, primary, Golbourn, Brian, primary, Agnihotri, Sameer, primary, Bertrand, Kelsey C., primary, Mack, Stephen C., primary, Myers, Max I., primary, Chattopadhyay, Ansuman, primary, Taylor, D. Lansing, primary, Schurdak, Mark E., primary, Stern, Andrew M., primary, and Pollack, Ian F., primary

Published
2023
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28. Supplementary File 2 from Targeting NAD+ Biosynthesis Overcomes Panobinostat and Bortezomib-Induced Malignant Glioma Resistance

Author

Jane, Esther P., primary, Premkumar, Daniel R., primary, Thambireddy, Swetha, primary, Golbourn, Brian, primary, Agnihotri, Sameer, primary, Bertrand, Kelsey C., primary, Mack, Stephen C., primary, Myers, Max I., primary, Chattopadhyay, Ansuman, primary, Taylor, D. Lansing, primary, Schurdak, Mark E., primary, Stern, Andrew M., primary, and Pollack, Ian F., primary

Published
2023
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29. Supplementary Figure 7 from Targeting NAD+ Biosynthesis Overcomes Panobinostat and Bortezomib-Induced Malignant Glioma Resistance

Author

Jane, Esther P., primary, Premkumar, Daniel R., primary, Thambireddy, Swetha, primary, Golbourn, Brian, primary, Agnihotri, Sameer, primary, Bertrand, Kelsey C., primary, Mack, Stephen C., primary, Myers, Max I., primary, Chattopadhyay, Ansuman, primary, Taylor, D. Lansing, primary, Schurdak, Mark E., primary, Stern, Andrew M., primary, and Pollack, Ian F., primary

Published
2023
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30. Supplementary Figure Legends from Targeting NAD+ Biosynthesis Overcomes Panobinostat and Bortezomib-Induced Malignant Glioma Resistance

Author

Jane, Esther P., primary, Premkumar, Daniel R., primary, Thambireddy, Swetha, primary, Golbourn, Brian, primary, Agnihotri, Sameer, primary, Bertrand, Kelsey C., primary, Mack, Stephen C., primary, Myers, Max I., primary, Chattopadhyay, Ansuman, primary, Taylor, D. Lansing, primary, Schurdak, Mark E., primary, Stern, Andrew M., primary, and Pollack, Ian F., primary

Published
2023
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32. Modeling mechanisms underlying differential inflammatory responses to COVID-19 in type 2 diabetes using a patient-derived microphysiological organ-on-a-chip system.

Author

Negi, Vinny, Gavlock, Dillon, Miedel, Mark T., Lee, Jeong Kyung, Shun, Tongying, Gough, Albert, Vernetti, Lawrence, Stern, Andrew M., Taylor, D. Lansing, and Yechoor, Vijay K.

Subjects
COVID-19 pandemic, TYPE 2 diabetes, CYTOKINE release syndrome, COVID-19, INFLAMMATION, ASSISTED suicide
Abstract

Background: COVID-19 pandemic has caused more than 6 million deaths worldwide. Co-morbid conditions such as Type 2 Diabetes (T2D) have increased mortality in COVID-19. With limited translatability of in vitro and small animal models to human disease, human organ-on-a-chip models are an attractive platform to model in vivo disease conditions and test potential therapeutics. Methods: T2D or non-diabetic patient-derived macrophages and human liver sinusoidal endothelial cells were seeded, along with normal hepatocytes and stellate cells in the liver-on-a-chip (LAMPS – liver acinus micro physiological system), perfused with media mimicking non-diabetic fasting or T2D (high levels of glucose, fatty acids, insulin, glucagon) states. The macrophages and endothelial cells were transduced to overexpress the SARS-CoV2-S (spike) protein with appropriate controls before their incorporation into LAMPS. Cytokine concentrations in the efflux served as a read-out of the effects of S-protein expression in the different experimental conditions (non-diabetic-LAMPS, T2D-LAMPS), including incubation with tocilizumab, an FDA-approved drug for severe COVID-19. Findings: S-protein expression in the non-diabetic LAMPS led to increased cytokines, but in the T2D-LAMPS, this was significantly amplified both in the number and magnitude of key pro-inflammatory cytokines (IL6, CCL3, IL1β, IL2, TNFα, etc.) involved in cytokine storm syndrome (CSS), mimicking severe COVID-19 infection in T2D patients. Compared to vehicle control, tocilizumab (IL6-receptor antagonist) decreased the pro-inflammatory cytokine secretion in T2D-COVID-19-LAMPS but not in non-diabetic-COVID-19-LAMPS. Interpretation: macrophages and endothelial cells play a synergistic role in the pathophysiology of the hyper-inflammatory response seen with COVID-19 and T2D. The effect of Tocilizumab was consistent with large clinical trials that demonstrated Tocilizumab's efficacy only in critically ill patients with severe disease, providing confirmatory evidence that the T2D-COVID-19-LAMPS is a robust platform to model human in vivo pathophysiology of COVID-19 in T2D and for screening potential therapeutics. [ABSTRACT FROM AUTHOR]

Published
2023
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34. Plasma NT1-tau and Aβ (42) correlate with age and cognitive function in two large Down syndrome cohorts

Author

Stern, Andrew M., Van Pelt, Kathryn L., Liu, Lei, Anderson, Amirah K., Ostaszewski, Beth, Mapstone, Mark, O’Bryant, Sid, Petersen, Melissa E., Christian, Bradley T., Handen, Benjamin L., Selkoe, Dennis J., Schmitt, Frederick, and Head, Elizabeth

Subjects
Article
Abstract

INTRODUCTION: People with Down syndrome (DS) often develop Alzheimer disease (AD). Here we asked whether ultrasensitive plasma immunoassays for a tau N-terminal fragment (NT1-tau) and Aβ isoforms predict cognitive impairment. METHODS: Plasma NT1-tau, Aβ (37) , Aβ (40) , and Aβ (42) levels were measured in a longitudinal discovery cohort (N = 85 participants, 220 samples) and a cross-sectional validation cohort (N = 239). We developed linear models and predicted values in the validation cohort. RESULTS: Linear mixed models for NT1-tau, Aβ (42,) and Aβ (37:42) were significant for age, there was no main effect of time in the discovery cohort. In cross-sectional models, NT1-tau and Aβ (42) increased with age. NT1-tau predicted DLD scores. The discovery cohort linear model for NT1-tau predicted NT1-tau levels in the validation cohort. DISCUSSION: NT1-tau correlates with age and worse cognition in DS. Further validation of NT1-tau and other plasma biomarkers of AD neuropathology in DS cohorts is important for clinical utility.

Published
2023

38. A Systemic Approach to Containing Health Care Spending

Author

Emanuel, Ezekiel, primary, Tanden, Neera, additional, Altman, Stuart, additional, Armstrong, Scott, additional, Berwick, Donald, additional, de Brantes, François, additional, Calsyn, Maura, additional, Chernew, Michael, additional, Colmers, John, additional, Cutler, David, additional, Daschle, Tom, additional, Egerman, Paul, additional, Kocher, Bob, additional, Milstein, Arnold, additional, Oshima Lee, Emily, additional, Podesta, John D., additional, Reinhardt, Uwe, additional, Rosenthal, Meredith, additional, Sharfstein, Joshua, additional, Shortell, Stephen, additional, Stern, Andrew, additional, Orszag, Peter R., additional, and Spiro, Topher, additional

Published
2017
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43. A Quantitative Systems Pharmacology Platform Reveals NAFLD Pathophysiological States and Targeting Strategies

Author

Lefever, Daniel E., primary, Miedel, Mark T., additional, Pei, Fen, additional, DiStefano, Johanna K., additional, Debiasio, Richard, additional, Shun, Tong Ying, additional, Saydmohammed, Manush, additional, Chikina, Maria, additional, Vernetti, Lawrence A., additional, Soto-Gutierrez, Alejandro, additional, Monga, Satdarshan P., additional, Bataller, Ramón Alberola, additional, Behari, Jaideep, additional, Yechoor, Vijay K., additional, Bahar, Ivet, additional, Gough, Albert, additional, Stern, Andrew M., additional, and Taylor, D. Lansing, additional

Published
2022
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44. A high-tech, low-cost, Internet of Things surfboard fin for coastal citizen science, outreach, and education

Author

Bresnahan, Philip, primary, Cyronak, Tyler, additional, Brewin, Robert J.W., additional, Andersson, Andreas, additional, Wirth, Taylor, additional, Martz, Todd, additional, Courtney, Travis, additional, Hui, Nathan, additional, Kastner, Ryan, additional, Stern, Andrew, additional, McGrain, Todd, additional, Reinicke, Danica, additional, Richard, Jon, additional, Hammond, Katherine, additional, and Waters, Shannon, additional

Published
2022
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47. Failing Believably: Toward Drama Management with Autonomous Actors in Interactive Narratives

Author

Riedl, Mark O., Stern, Andrew, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Dough, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Göbel, Stefan, editor, Malkewitz, Rainer, editor, and Iurgel, Ido, editor

Published
2006
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48. Believable Agents and Intelligent Story Adaptation for Interactive Storytelling

Author

Riedl, Mark O., Stern, Andrew, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Dough, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Göbel, Stefan, editor, Malkewitz, Rainer, editor, and Iurgel, Ido, editor

Published
2006
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50. Natural Language Understanding in Façade: Surface-Text Processing

Author

Mateas, Michael, Stern, Andrew, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Dough, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Göbel, Stefan, editor, Spierling, Ulrike, editor, Hoffmann, Anja, editor, Iurgel, Ido, editor, Schneider, Oliver, editor, Dechau, Johanna, editor, and Feix, Axel, editor

Published
2004
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