Editorial Material
Clinical Neurology
Heather Wood
Summary: Researchers from China and South Korea have created a rapid immunodot assay to detect IgG autoantibodies targeting aquaporin 4 in the serum of individuals with neuromyelitis optica spectrum disorder.
NATURE REVIEWS NEUROLOGY
(2023)
Review
Biochemistry & Molecular Biology
Sukhvir K. Wright, Evangeline Wassmer, Angela Vincent
Summary: NMOSD is a rare but severe relapsing remitting demyelinating disease that affects both adults and children, with most patients having pathogenic antibodies targeting the central nervous system AQP4 protein. This review provides an update on disease pathophysiology, clinical features, paraclinical features, and therapeutic management.
BIOCHIMICA ET BIOPHYSICA ACTA-BIOMEMBRANES
(2021)
Article
Clinical Neurology
Nicolas Collongues, Cecilia Alves Do Rego, Bertrand Bourre, Damien Biotti, Romain Marignier, Ana Martins da Silva, Ernestina Santos, Elisabeth Maillart, Caroline Papeix, Jacqueline Palace, Maria Isabel S. Leite, Jerome De Seze
Summary: This study found a rebound in the annualized relapse rate during the first postpartum trimester that was higher than the prepregnancy period only in AQP4-Ab-positive patients. Taking immunosuppressive therapy just before or during pregnancy reduces the risk of relapses in these conditions.
Article
Clinical Neurology
Yinghui Duan, Xin Wang, Xiaoyu Duan, Hanqing Gao, Xiaopei Ji, Xinyi Xiao, Feng Zhu, Qun Xue
Summary: Neuromyelitis optica spectrum disorders (NMOSD) are autoimmune diseases affecting the central nervous system, and there may be a potential link between NMOSD and cancer. This study reports three NMOSD cases associated with cancer, and after tumor removal, the patients remained stable without further relapses. An interesting finding is that one patient had slightly elevated levels of AQP4-IgG in their serum, suggesting that AQP4 may not be the main pathogenic antibody in these cases.
FRONTIERS IN NEUROLOGY
(2022)
Article
Clinical Neurology
Rosa Cortese, Ferran Prados Carrasco, Carmen Tur, Alessia Bianchi, Wallace Brownlee, Floriana De Angelis, Isabel de la Paz, Francesco Grussu, Lukas Haider, Anu Jacob, Baris Kanber, Lise Magnollay, Richard S. Nicholas, Anand Trip, Marios Yiannakas, Ahmed T. Toosy, Yael Hacohen, Frederik Barkhof, Olga Ciccarelli
Summary: This study investigated whether imaging characteristics could differentiate between relapsing-remitting multiple sclerosis (RRMS), aquaporin-4 antibody-positive neuromyelitis optica spectrum disorder (AQP4-NMOSD), and myelin oligodendrocyte glycoprotein antibody-associated disease (MOGAD). The results showed that the proportion of lesions with the central vein sign (CVS) was the most accurate measure to differentiate RRMS from AQP4-NMOSD, while white matter lesions were the most accurate measure to discriminate RRMS from MOGAD.
Article
Clinical Neurology
Laura Clarke, Simon Arnett, Wajih Bukhari, Elham Khalilidehkordi, Sofia Jimenez Sanchez, Cullen O'Gorman, Jing Sun, Kerri M. Prain, Mark Woodhall, Roger Silvestrini, Christine S. Bundell, David A. Abernethy, Sandeep Bhuta, Stefan Blum, Mike Boggild, Karyn Boundy, Bruce J. Brew, Wallace Brownlee, Helmut Butzkueven, William M. Carroll, Cella Chen, Alan Coulthard, Russell C. Dale, Chandi Das, Marzena J. Fabis-Pedrini, David Gillis, Simon Hawke, Robert Heard, Andrew P. D. Henderson, Saman Heshmat, Suzanne Hodgkinson, Trevor J. Kilpatrick, John King, Christopher Kneebone, Andrew J. Kornberg, Jeannette Lechner-Scott, Ming-Wei Lin, Christopher Lynch, Richard A. L. Macdonell, Deborah F. Mason, Pamela A. McCombe, Jennifer Pereira, John D. Pollard, Sudarshini Ramanathan, Stephen W. Reddel, Cameron P. Shaw, Judith M. Spies, James Stankovich, Ian Sutton, Steve Vucic, Michael Walsh, Richard C. Wong, Eppie M. Yiu, Michael H. Barnett, Allan G. K. Kermode, Mark P. Marriott, John D. E. Parratt, Mark Slee, Bruce Taylor, Ernest Willoughby, Fabienne Brilot, Angela Vincent, Patrick Waters, Simon A. Broadley
Summary: Neuromyelitis optica spectrum disorder (NMOSD) and multiple sclerosis (MS) are inflammatory diseases of the CNS with overlapping clinical and MRI features, but distinguishing them can be achieved with the use of MRI features and machine learning models.
FRONTIERS IN NEUROLOGY
(2021)
Article
Clinical Neurology
Valentina Camera, Silvia Messina, Kariem Tarek Elhadd, Julia Sanpera-Iglesias, Romina Mariano, Yael Hacohen, Ruth Dobson, Stefano Meletti, Evangeline Wassmer, Ming J. Lim, Saif Huda, Cheryl Hemingway, Maria Isabel Leite, Sithara Ramdas, Jacqueline Palace
Summary: The study identified predictors of first relapse and long-term disabilities in pediatric-onset AQP4-IgG NMOSD, including age at onset, race, onset symptoms, and response to acute therapy. These predictors can help guide future pediatric clinical trials and early therapeutic decisions in AQP4-IgG NMOSD.
JOURNAL OF NEUROLOGY NEUROSURGERY AND PSYCHIATRY
(2022)
Review
Medicine, General & Internal
Dean M. Wingerchuk, Claudia F. Lucchinetti
Summary: Neuromyelitis Optica and its spectrum is a relapsing demyelinating disorder of the central nervous system, encompassing six syndromes and associated with aquaporin-4 autoantibodies. Effective treatment is able to prevent relapses.
NEW ENGLAND JOURNAL OF MEDICINE
(2022)
Review
Medicine, General & Internal
Dean M. Wingerchuk, Claudia F. Lucchinetti
Summary: Neuromyelitis Optica, previously known as Devic's disease, is a relapsing demyelinating disorder of the central nervous system that encompasses six syndromes and is associated with aquaporin-4 autoantibodies. Effective treatment is crucial in preventing relapses.
NEW ENGLAND JOURNAL OF MEDICINE
(2022)
Article
Immunology
Zhichao Li, Lin Wan, Xinting Liu, Jing Wang, Xiuyu Shi, Huanfen Zhou, Quangang Xu, Shihui Wei, Guang Yang
Summary: This study reports the outcomes and adverse events of plasma exchange in 6 children with NMOSD. The results suggest that plasma exchange may be beneficial in some cases but also carries the risk of adverse reactions.
FRONTIERS IN IMMUNOLOGY
(2023)
Article
Behavioral Sciences
Rong Fan, Yuefeng Zhang, Yunqi Xu, Jiayi Tong, Zhigang Chen, Meifeng Gu, Wenkui Fan, Yong Chen, Fuhua Peng, Ying Jiang
Summary: Studies have shown that antinuclear antibodies (ANAs) are associated with disease activity in neuromyelitis optica spectrum disorder (NMOSD) patients, and can predict disease duration and severity.
BRAIN AND BEHAVIOR
(2021)
Article
Immunology
Shuwen Deng, Qiang Lei, Wei Lu
Summary: This study investigated the demographic characteristics of pregnancy-related attacks (PRAs) in patients with neuromyelitis optica spectrum disorder (NMOSD). The results showed that maintaining immunosuppressive (IS) therapy during pregnancy greatly reduced the occurrence of PRAs in NMOSD patients. However, there was a higher risk of unhealthy newborn occurrence in patients receiving IS treatment during pregnancy.
FRONTIERS IN IMMUNOLOGY
(2022)
Article
Clinical Neurology
Angelo Lu, Hanna G. Zimmermann, Svenja Specovius, Seyedamirhosein Motamedi, Claudia Chien, Charlotte Bereuter, Marco A. Lana-Peixoto, Mariana Andrade Fontenelle, Fereshteh Ashtari, Rahele Kafieh, Alireza Dehghani, Mohsen Pourazizi, Lekha Pandit, Anitha D'Cunha, Ho Jin Kim, Jae-Won Hyun, Su-Kyung Jung, Letizia Leocani, Marco Pisa, Marta Radaelli, Sasitorn Siritho, Eugene F. May, Caryl Tongco, Jerome De Seze, Thomas Senger, Jacqueline Palace, Adriana Roca-Fernandez, Maria Isabel Leite, Srilakshmi M. Sharma, Hadas Stiebel-Kalish, Nasrin Asgari, Kerstin Kathrine Soelberg, Elena H. Martinez-Lapiscina, Joachim Havla, Yang Mao-Draayer, Zoe Rimler, Allyson Reid, Romain Marignier, Alvaro Cobo-Calvo, Ayse Altintas, Uygur Tanriverdi, Rengin Yildirim, Orhan Aktas, Marius Ringelstein, Philipp Albrecht, Ivan Maynart Tavares, Denis Bernardi Bichuetti, Anu Jacob, Saif Huda, Ibis Soto de Castillo, Axel Petzold, Ari J. Green, Michael R. Yeaman, Terry J. Smith, Lawrence Cook, Friedemann Paul, Alexander U. Brandt, Frederike Cosima Oertel
Summary: Through optical coherence tomography of patients with neuromyelitis optica spectrum disorders, it was found that there were no significant differences in the outer plexiform layer and outer nuclear layer thickness between AQP4-IgG+ patients, MOG-IgG+ patients, and healthy controls. Eyes with a history of optic neuritis in AQP4-IgG+ and MOG-IgG+ patients showed some thinning of the parafoveal outer plexiform layer compared to healthy controls. Longitudinal studies are needed to explore further retinal damage and dysfunction in late disease stages.
JOURNAL OF NEUROLOGY NEUROSURGERY AND PSYCHIATRY
(2022)
Article
Multidisciplinary Sciences
Sharon A. Sagan, Zahra Moinfar, Carson E. Moseley, Ravi Dandekar, Collin M. Spencer, Alan S. Verkman, Ole Petter Ottersen, Raymond A. Sobel, John Sidney, Alessandro Sette, Mark S. Anderson, Lawrence Steinman, Michael R. Wilson, Joseph J. Sabatino, Scott S. Zamvil
Summary: This study investigates the role of AQP4-specific Th17 cells in the pathogenesis of neuromyelitis optica (NMO). The research shows that AQP4-specific T cells have a high affinity for binding to MHC II, and their clonal expansion is observed in AQP4-deficient mice. Thymic negative selection alone does not account for the tolerance to AQP4 in wild-type (WT) mice. AQP4-specific Th17 cells can cause paralysis followed by recovery, associated with apoptosis of donor T cells. However, these cells can persist and cause persistent paralysis in mice deficient in both T and B cells or lacking T cells only. In contrast, MOG-specific T cells survive and cause sustained disease in WT mice.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
(2023)
Article
Multidisciplinary Sciences
Lukmanee Tradtrantip, Michael R. Yeaman, A. S. Verkman
Summary: NMOSD is an autoimmune inflammatory disease where most patients have AQP4-IgG antibodies that cause inflammation and demyelination. Some patients have protective antibodies in their serum that can prevent cytotoxic effects of AQP4-IgG on cells.
SCIENTIFIC REPORTS
(2021)
Article
Clinical Neurology
Hengameh Shams, Xiaorong Shao, Adam Santaniello, Gina Kirkish, Adil Harroud, Qin Ma, Noriko Isobe, Catherine Schaefer, Jacob L. McCauley, Bruce A. C. Cree, Alessandro Didonna, Sergio E. Baranzini, Nikolaos A. Patsopoulos, Stephen L. Hauser, Lisa F. Barcellos, Roland G. Henry, Jorge R. Oksenberg
Summary: Polygenic inheritance plays a pivotal role in multiple sclerosis susceptibility. The development of polygenic risk scores (PRS) can assess disease status and severity, providing enhanced risk assessment and radiographic outcomes. This study indicates important associations of PRS with risk assessment and tissue injury outcomes, potentially informing targeted screening and prevention strategies.
Article
Clinical Neurology
Hari V. V. Kalluri, Matthew R. R. Rosebraugh, Thomas P. P. Misko, Adam Ziemann, Wei Liu, Bruce A. C. Cree
Summary: This study focuses on the safety, tolerability, pharmacokinetics, and immunogenicity of elezanumab in healthy individuals and multiple sclerosis patients. The results demonstrate that elezanumab does not cause adverse events and has dose-dependent increases in cerebrospinal fluid concentrations.
ANNALS OF NEUROLOGY
(2023)
Article
Clinical Neurology
Riley Bove, Shane Poole, Richard Cuneo, Sasha Gupta, Joseph Sabatino, Meagan Harms, Tifffany Cooper, William Rowles, Nicolette Miller, Refujia Gomez, Robin Lincoln, Kira McPolin, Kyra Powers, Adam Santaniello, Adam Renschen, Carolyn J. Bevan, Jeffrey M. Gelfand, Douglas S. Goodin, Chu-Yueh Guo, Andrew R. Romeo, Stephen L. Hauser, Bruce Anthony Campbell Cree, UCSF MS-EPIC Team
Summary: This study found that remote evaluations can reduce the costs of research participation for patients, while providing a reasonable evaluation of disability trajectory longitudinally. This could inform the design of remote research that is more inclusive of diverse participants.
NEUROLOGY-NEUROIMMUNOLOGY & NEUROINFLAMMATION
(2023)
Review
Clinical Neurology
Tjalf Ziemssen, Virender Bhan, Jeremy Chataway, Tanuja Chitnis, Bruce Anthony Campbell Cree, Eva Kubala Havrdova, Ludwig Kappos, Pierre Labauge, Aaron Miller, Jin Nakahara, Celia Oreja-Guevara, Jacqueline Palace, Barry Singer, Maria Trojano, Ashwini Patil, Benedict Rauser, Thomas Hach
Summary: There are many challenges in accurately diagnosing and managing SPMS due to the lack of definitive criteria for the transition from RRMS to SPMS. This review discusses the diagnostic criteria/definition and the heterogeneity of SPMS patient populations, and emphasizes the importance of early identification through prospective/retrospective tools to improve outcomes with approved treatments. Effective interventions require ongoing patient-clinician dialogue within a multidisciplinary team.
NEUROLOGY-NEUROIMMUNOLOGY & NEUROINFLAMMATION
(2023)
Article
Medicine, General & Internal
Karthik Soman, Charlotte A. Nelson, Gabriel Cerono, Samuel M. Goldman, Sergio E. Baranzini, Ethan G. Brown
Summary: This study used a biomedical knowledge graph called SPOKE to embed EHR data and predict Parkinson's disease diagnosis. The classifier showed moderate accuracy in predicting diagnosis, outperforming other benchmark methods.
FRONTIERS IN MEDICINE
(2023)
Article
Biology
Qin Ma, Hengameh Shams, Alessandro Didonna, Sergio E. Baranzini, Bruce A. C. Cree, Stephen L. Hauser, Roland G. Henry, Jorge R. Oksenberg
Summary: Genome-wide association studies (GWAS) have identified multiple sclerosis (MS) susceptibility variants, but linking these associations to causative genes and cell types remains challenging. In this study, the integration of GWAS data with single-cell and bulk epigenetic datasets revealed enrichment of MS-GWAS signals in B cells and monocyte-microglial cell types. Cell-specific polygenic risk scores showed significant associations with MS risk and brain white matter volume, supporting the known pathology and potential targets of MS therapeutics.
COMMUNICATIONS BIOLOGY
(2023)
Review
Computer Science, Artificial Intelligence
Lauren M. Sanders, Ryan T. Scott, Jason H. Yang, Amina Ann Qutub, Hector Garcia Martin, Daniel C. Berrios, Jaden J. A. Hastings, Jon Rask, Graham Mackintosh, Adrienne L. Hoarfrost, Stuart Chalk, John Kalantari, Kia Khezeli, Erik L. Antonsen, Joel Babdor, Richard Barker, Sergio E. Baranzini, Afshin Beheshti, Guillermo M. Delgado-Aparicio, Benjamin S. Glicksberg, Casey S. Greene, Melissa Haendel, Arif A. Hamid, Philip Heller, Daniel Jamieson, Katelyn J. Jarvis, Svetlana V. Komarova, Matthieu Komorowski, Prachi Kothiyal, Ashish Mahabal, Uri Manor, Christopher E. Mason, Mona Matar, George I. Mias, Jack Miller, Jerry G. Myers Jr, Charlotte Nelson, Jonathan Oribello, Seung-min Park, Patricia Parsons-Wingerter, R. K. Prabhu, Robert J. Reynolds, Amanda Saravia-Butler, Suchi Saria, Aenor Sawyer, Nitin Kumar Singh, Michael Snyder, Frank Soboczenski, Karthik Soman, Corey A. Theriot, David Van Valen, Kasthuri Venkateswaran, Liz Warren, Liz Worthey, Marinka Zitnik, Sylvain V. Costes
Summary: Deep space exploration missions require new technologies to support astronaut health systems and independent biological monitoring and research systems. A NASA workshop explores how artificial intelligence advances can address these challenges and discusses the intersection between artificial intelligence and space biology.
NATURE MACHINE INTELLIGENCE
(2023)
Review
Computer Science, Artificial Intelligence
Ryan T. Scott, Lauren M. Sanders, Erik L. Antonsen, Jaden J. A. Hastings, Seung-min Park, Graham Mackintosh, Robert J. Reynolds, Adrienne L. Hoarfrost, Aenor Sawyer, Casey S. Greene, Benjamin S. Glicksberg, Corey A. Theriot, Daniel C. Berrios, Jack Miller, Joel Babdor, Richard Barker, Sergio E. Baranzini, Afshin Beheshti, Stuart Chalk, Guillermo M. Delgado-Aparicio, Melissa Haendel, Arif A. Hamid, Philip Heller, Daniel Jamieson, Katelyn J. Jarvis, John Kalantari, Kia Khezeli, Svetlana V. Komarova, Matthieu Komorowski, Prachi Kothiyal, Ashish Mahabal, Uri Manor, Hector Garcia Martin, Christopher E. Mason, Mona Matar, George I. Mias, Jerry G. Myers Jr, Charlotte Nelson, Jonathan Oribello, Patricia Parsons-Wingerter, R. K. Prabhu, Amina Ann Qutub, Jon Rask, Amanda Saravia-Butler, Suchi Saria, Nitin Kumar Singh, Michael Snyder, Frank Soboczenski, Karthik Soman, David Van Valen, Kasthuri Venkateswaran, Liz Warren, Liz Worthey, Jason H. Yang, Marinka Zitnik, Sylvain V. Costes
Summary: Deep-space exploration requires new technologies for astronaut health systems and autonomous biomonitoring. This article discusses the vision for precision space health based on the findings from a NASA workshop on artificial intelligence and machine learning.
NATURE MACHINE INTELLIGENCE
(2023)
Article
Multidisciplinary Sciences
Adil Harroud, Pernilla J. Stridh, Jacob H. McCauley, Janna Saarela, Aletta M. R. van den Bosch, Hendrik Engelenburg, Ashley Beecham, Lars Alfredsson, Katayoun Alikhani, Lilyana Amezcua, Till F. M. Andlauer, Maria Ban, Lisa Barcellos, Nadia Barizzone, Tone Berge, Achim Berthele, Stefan Bittner, Steffan Bos, Farren B. S. Briggs, Stacy Caillier, Peter Calabresi, Domenico Caputo, David Carmona-Burgos, Paola Cavalla, Elisabeth Celius, Gabriel Cerono, Angel Chinea, Tanuja Chitnis, Ferdinando Clarelli, Manuel Comabella, Giancarlo Comi, Chris Cotsapas, Bruce C. A. Cree, Sandra D'Alfonso, Efthimios Dardiotis, Philip De Jager, Silvia Delgado, Benedicte Dubois, Sinah Engel, Federica Esposito, Marzena Fabis-Pedrini, Massimo Filippi, Kathryn Fitzgerald, Christiane Gasperi, Lissette Gomez, Refujia Gomez, Georgios Hadjigeorgiou, Joerg Hamann, Friederike Held, Roland Henry, Jan Hillert, Jesse Huang, Inge Huitinga, Talat Islam, Noriko Isobe, Maja Jagodic, Allan L. Kermode, Michael Khalil, Trevor Kilpatrick, Ioanna Konidari, Karim Kreft, Jeannette Lechner-Scott, Maurizio Leone, Felix Luessi, Sunny Malhotra, Ali Manouchehrinia, Clara Manrique, Filippo Martinelli-Boneschi, Andrea Martinez, Viviana Martinez-Maldonado, Elisabetta Mascia, Luanne Metz, Luciana Midaglia, Xavier Montalban, Jorge Oksenberg, Tomas Olsson, Annette Oturai, Kimmo Paakkonen, Grant P. Parnell, Nikolaos Patsopoulos, Margaret Pericak-Vance, Fredrik Piehl, Justin Rubio, Adam Santaniello, Silvia Santoro, Catherine Schaefer, Finn Sellebjerg, Hengameh Shams, Klementy Shchetynsky, Claudia Silva, Vasileios Siokas, Helle Sondergaard, Melissa Sorosina, Bruce Taylor, Marijne Vandebergh, Elena Vasileiou, Domizia Vecchio, Margarete Voortman, Howard Weiner, Dennis Wever, V. Wee Yong, David Hafler, Graeme Stewart, Alastair Compston, Frauke Zipp, Hanne Harbo, Bernhard Hemmer, An Goris, Joost Smolders, Stephen Hauser, Ingrid Kockum, Stephen Sawcer, Sergio Baranzini, Ingileif Jonsdottir, Yolanda Blanco, Sara Llufriu, Lohith Madireddy, Albert Saiz, Pablo Villoslada, Kari Stefansson, Hanne F. Harbo, Bernhard Hemmer, An Goris, Ingrid Kockum, Stephen J. Sawcer, Sergio E. Baranzini
Summary: Multiple sclerosis (MS) is an autoimmune disease that affects the central nervous system (CNS) and results in significant neurodegeneration. A genome-wide association study identified a significant association between the rs10191329 polymorphism in the DYSF-ZNF638 locus and MS severity. This polymorphism was also associated with earlier need for a walking aid and increased brain pathology. Another polymorphism in the DNM3-PIGC locus showed suggestive association with MS, and there was significant heritability enrichment in CNS tissues. Mendelian randomization analyses suggested a potential protective effect of higher educational attainment in MS.
Article
Clinical Neurology
Bruce A. C. Cree, Rachel Maddux, Amit Bar-Or, Hans-Peter Hartung, Amandeep Kaur, Elizabeth Brown, Yicong Li, Yanhua Hu, James K. Sheffield, Diego Silva, Sarah Harris
Summary: This study investigated the serologic response, predictors of response, and clinical outcomes associated with SARS-CoV-2 vaccination and infection in RMS patients treated with ozanimod. The results showed that most ozanimod-treated RMS patients mounted a serologic response to SARS-CoV-2 vaccination and infection, regardless of individual characteristics or lymphocyte count levels. Additionally, mRNA vaccination predicted higher levels of serum antibodies.
ANNALS OF CLINICAL AND TRANSLATIONAL NEUROLOGY
(2023)
Article
Biochemical Research Methods
John H. Morris, Karthik Soman, Rabia E. Akbas, Xiaoyuan Zhou, Brett Smith, Elaine C. Meng, Conrad C. Huang, Gabriel Cerono, Gundolf Schenk, Angela Rizk-Jackson, Adil Harroud, Lauren Sanders, Sylvain Costes, Krish Bharat, Arjun Chakraborty, Alexander R. Pico, Taline Mardirossian, Michael Keiser, Alice Tang, Josef Hardi, Yongmei Shi, Mark Musen, Sharat Israni, Sui Huang, Peter W. Rose, Charlotte A. Nelson, Sergio E. Baranzini
Summary: In this work, we introduced Scalable Precision Medicine Open Knowledge Engine (SPOKE), a biomedical knowledge graph that connects millions of concepts through semantically meaningful relationships. SPOKE consists of 27 million nodes of 21 different types and 53 million edges of 55 types downloaded from 41 databases. It is built on the framework of 11 ontologies and is updated weekly by Python scripts.
Article
Clinical Neurology
Vinicius A. Schoeps, Xiaoyuan Zhou, Mary K. Horton, Feng Zhu, Kathryn E. McCauley, Zahra Nasr, Akash Virupakshaiah, Mark P. Gorman, Leslie A. Benson, Bianca Weinstock-Guttman, Amy Waldman, Brenda L. Banwell, Amit Bar-Or, Ruth Ann Marrie, Gary van Domselaar, Julia O'Mahony, Ali I. Mirza, Charles N. Bernstein, E. Ann Yeh, T. Charles Casper, Susan V. Lynch, Helen Tremlett, Sergio Baranzini, Emmanuelle Waubant
Summary: This study suggests a relationship between the gut microbiome and the onset of multiple sclerosis, with short-chain fatty acid producers potentially playing an important role in the disease's development.
ANNALS OF CLINICAL AND TRANSLATIONAL NEUROLOGY
(2023)
Article
Medicine, Research & Experimental
Karamarie Fecho, Chris Bizon, Tursynay Issabekova, Sierra Moxon, Anne E. Thessen, Shervin Abdollahi, Sergio E. Baranzini, Basazin Belhu, William E. Byrd, Lawrence Chung, Andrew Crouse, Marc P. Duby, Stephen Ferguson, Aleksandra Foksinska, Laura Forero, Jennifer Friedman, Vicki Gardner, Gwenlyn Glusman, Jennifer Hadlock, Kristina Hanspers, Eugene Hinderer, Charlotte Hobbs, Gregory Hyde, Sui Huang, David Koslicki, Philip Mease, Sandrine Muller, Christopher J. Mungall, Stephen A. Ramsey, Jared Roach, Irit Rubin, Shepherd H. Schurman, Anath Shalev, Brett Smith, Karthik Soman, Sarah Stemann, Andrew I. Su, Casey Ta, Paul B. Watkins, Mark D. Williams, Chunlei Wu, Colleen H. Xu, Biomed Data Translator Consortium
Summary: Knowledge graphs are widely used for knowledge representation, but their application is hindered by the complexity and semantic incompatibilities of knowledge sources. The Translator system, a knowledge graph-based question-answering system, has been developed to assist human reasoning and accelerate scientific discovery. Collaborative approaches, including monthly challenges, have been used to research and improve the Translator system.
JOURNAL OF CLINICAL AND TRANSLATIONAL SCIENCE
(2023)
Proceedings Paper
Computer Science, Hardware & Architecture
Ramakrishnan Kannan, Piyush Sao, Hao Lu, Jakub Kurzak, Gundolf Schenk, Yongmei Shi, Seung-Hwan Lim, Sharat Israni, Vijay Thakkar, Guojing Cong, Robert Patton, Sergio E. Baranzini, Richard Vuduc, Thomas Potok
Summary: This study is motivated by the need to mine large-scale scholarly publications and discover relationships among concepts. The COAST algorithm is proposed to integrate scholarly corpora into the biomedical knowledge graph.
SC22: INTERNATIONAL CONFERENCE FOR HIGH PERFORMANCE COMPUTING, NETWORKING, STORAGE AND ANALYSIS
(2022)
Meeting Abstract
Clinical Neurology
S. Baranzini
MULTIPLE SCLEROSIS JOURNAL
(2022)