Article
Multidisciplinary Sciences
Insha Zahoor, Hamid Suhail, Indrani Datta, Mohammad Ejaz Ahmed, Laila M. Poisson, Jeffrey Waters, Faraz Rashid, Rui Bin, Jaspreet Singh, Mirela Cerghet, Ashok Kumar, Md Nasrul Hoda, Ramandeep Rattan, Ashutosh K. Mangalam, Shailendra Giri
Summary: Metabolic aberrations were found to impact the pathogenesis of relapsing-remitting multiple sclerosis, with changes in multiple metabolic pathways identified in patient samples. Enhanced glycolysis in immune cells of MS patients was observed, and treatment with a glycolytic inhibitor showed promising effects in ameliorating disease progression by promoting an antiinflammatory phenotype. This study highlights the potential of blood-based metabolomic approaches in identifying therapeutic targets for developing new treatment strategies for multiple sclerosis.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
(2022)
Review
Biochemistry & Molecular Biology
Zhicheng Liu, Jeffrey Waters, Bin Rui
Summary: This review provides an overview of the applications of metabolomics in studying perturbed metabolic pathways in multiple sclerosis (MS) and its potential for personalized treatments. Metabolic alterations associated with MS progression can be revealed through metabolomics, and informative variations of metabolites can serve as potential biomarkers for understanding MS pathogenesis, predicting disease progression, and estimating drug effects.
BIOMEDICAL JOURNAL
(2022)
Article
Immunology
Jin Wang, Kellie Brown, Caroline Danehy, Emmanuel Merigeon, Stephen Goralski, Samuel Rice, Kwame Torgbe, Fridtjof Thomas, David Block, Henrik Olsen, Scott E. Strome, Elizabeth A. Fitzpatrick
Summary: This study tested the efficacy of a recombinant Fc multimer (M019) in treating multiple sclerosis using a murine model. The results showed that M019 effectively reduced clinical symptoms, inhibited immune cell infiltration into the central nervous system, and interacted with Fc gamma R bearing-monocytes.
FRONTIERS IN IMMUNOLOGY
(2023)
Article
Immunology
Jinyuan Luoqian, Wenyong Yang, Xulong Ding, Qing-zhang Tuo, Zheng Xiang, Zhaoyue Zheng, Yu-jie Guo, Li Li, Pengbo Guan, Scott Ayton, Biao Dong, Huiyuan Zhang, Hongbo Hu, Peng Lei
Summary: This study discovered a potential role of ferroptosis, an iron-dependent regulated cell death mechanism, in multiple sclerosis (MS), and proposed the possibility of targeting ferroptosis for MS treatment.
CELLULAR & MOLECULAR IMMUNOLOGY
(2022)
Review
Biochemistry & Molecular Biology
Dafni Birmpili, Imane Charmarke Askar, Kevin Bigaut, Dominique Bagnard
Summary: Multiple Sclerosis (MS) is a complex chronic autoimmune disease characterized by demyelinating lesions and axonal damage in the central nervous system. The experimental autoimmune encephalomyelitis (EAE) model, which resembles the pathological features of human MS, has been valuable for understanding the mechanisms of MS and identifying molecular biomarkers for drug development.
INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
(2022)
Article
Genetics & Heredity
Zongliang Hu, Yan Zhou, Tiejun Tong
Summary: A robust variable selection algorithm based on logistic regression was developed for meta-analyzing high-dimensional datasets, using a combination of least trimmed squared estimates and hierarchical bi-level variable selection technique, to achieve more reliable results.
FRONTIERS IN GENETICS
(2021)
Article
Neurosciences
Maxime Donadieu, Hannah Kelly, Diego Szczupak, Jing-Ping Lin, Yeajin Song, Cecil C. C. Yen, Frank Q. Ye, Hadar Kolb, Joseph R. Guy, Erin S. Beck, Steven Jacobson, Afonso C. Silva, Pascal Sati, Daniel S. Reich
Summary: This study characterized cortical lesions in marmosets with EAE using ultrahigh-field MRI and histological analysis, finding that 65% of cortical lesions could be captured with in vivo imaging, and confirming extensive demyelination in the cortical areas of the marmoset brain.
Article
Energy & Fuels
J. Buendia-Garcia, M. Lacoue-Negre, J. Gornay, S. Mas-Garcia, R. Bendoula, J. M. Roger
Summary: This study examines the potential of variable selection in improving the performance of data fusion modeling for estimating diesel cetane number. The results show that variable selection significantly improves the estimation of this property and enhances model stability. The Covariance Selection method performs best in the NIR data block, while the sequential backward floating feature selection method performs best in the process variable data block.
Article
Behavioral Sciences
Aliakbar Mariki, Zahra Barzin, Majid Fasihi Harandi, Kimia Karbasi Ravari, Mahboubeh Davoodi, Seyed Mohammad Mousavi, Soheila Rezakhani, Masoud Nazeri, Mohammad Shabani
Summary: This study found that antigen B from hydatid cyst fluid could reduce the levels of anti-inflammatory cytokines in rats with experimental autoimmune encephalomyelitis (EAE)-induced multiple sclerosis (MS) and increase nerve conduction velocity. The results showed that antigen B modulated the immune system and reduced the inflammatory component of the EAE MS animal model, leading to a decrease in symptoms at the behavioral and electrophysiological level. Antigen B could be used as a potential therapeutic agent to regulate the immune system in MS patients.
BRAIN AND BEHAVIOR
(2023)
Review
Biochemistry & Molecular Biology
Annarita Del Gatto, Michele Saviano, Laura Zaccaro
Summary: Multiple sclerosis is a progressive and highly debilitating disease, with current treatment strategies showing limitations in preventing disease progression. Peptide-based systems offer new therapeutic opportunities for the treatment of MS.
Article
Chemistry, Analytical
Georgios Stavropoulos, Robert van Vorstenbosch, Daisy M. A. E. Jonkers, John Penders, Jane E. Hill, Frederik-Jan van Schooten, Agnieszka Smolinska
Summary: Data fusion in life sciences involves combining information from different data sources to analyze biological samples. Traditional low-level, mid-level, and high-level data fusion methods are being surpassed by more sophisticated approaches due to the complexity and volume of data generated. Proximities stacking, a novel data fusion approach presented in this study, outperformed traditional and advanced fusion methods in classifying samples from different data platforms.
ANALYTICA CHIMICA ACTA
(2021)
Review
Cell Biology
Amin Daei Sorkhabi, Erfan Komijani, Aila Sarkesh, Pedram Ghaderi Shadbad, Ali Aghebati-Maleki, Leili Aghebati-Maleki
Summary: Immune checkpoint inhibitors have shown promising results and broad clinical applicability in cancer therapy. They also hold great potential for treating autoimmune diseases, particularly multiple sclerosis. Dysregulated expression of immune checkpoints has been observed in patients with multiple sclerosis, suggesting the possibility of developing immunotherapeutic strategies to induce inhibitory immune checkpoints and suppress stimulatory ones.
CELL COMMUNICATION AND SIGNALING
(2023)
Review
Biochemistry & Molecular Biology
Michal K. Zarobkiewicz, Izabela Morawska, Adam Michalski, Jacek Rolinski, Agnieszka Bojarska-Junak
Summary: NKT cells, especially iNKT cells, may play a key role in autoimmune diseases. Researchers summarized the results of NKT-oriented studies in major neurological autoimmune diseases such as multiple sclerosis, myasthenia gravis, and Guillain-Barre syndrome.
INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
(2021)
Article
Biochemistry & Molecular Biology
Alessandro Leuti, Emanuela Talamonti, Antonietta Gentile, Marta Tiberi, Alessandro Matteocci, Diego Fresegna, Diego Centonze, Valerio Chiurchiu
Summary: This study demonstrated a shift in the balance of M1/M2 macrophages during MS, with M1 macrophages showing a more proinflammatory profile in EAE compared to control mice, while M2 macrophages lost their M2-like phenotype. Immunization with MOG35-55 led to hyperactivation of M1 macrophages and a shift from anti-inflammatory M2 to pro-inflammatory M1. These findings suggest a potential role for developing new macrophage-centered therapeutic strategies in MS.
Article
Immunology
Michael Linzey, Krista DiSano, Nora Welsh, Andrew Pachner, Francesca Gilli
Summary: The study found significantly increased expression of complement factors in two clinically distinct mouse models of MS, with the classical complement pathway associated with pathogenesis in the progressive disease and the alternative pathway related to a worse outcome in the relapsing form. Understanding the roles of the complement system in MS is critical for the development of targeted therapies in the future.
FRONTIERS IN IMMUNOLOGY
(2022)
Article
Biochemical Research Methods
Joram M. Posma, Isabel Garcia-Perez, Timothy M. D. Ebbels, John C. Lindon, Jeremiah Stamler, Paul Elliott, Elaine Holmes, Jeremy K. Nicholson
JOURNAL OF PROTEOME RESEARCH
(2018)
Article
Biochemical Research Methods
Andrea Rodriguez-Martinez, Rafael Ayala, Joram M. Posma, Nikita Harvey, Beatriz Jimenez, Kazuhiro Sonomura, Taka-Aki Sato, Fumihiko Matsuda, Pierre Zalloua, Dominique Gauguier, Jeremy K. Nicholson, Marc-Emmanuel Dumas
Article
Nutrition & Dietetics
Thomas Wilson, Isabel Garcia-Perez, Joram M. Posma, Amanda J. Lloyd, Edward S. Chambers, Kathleen Tailliart, Hassan Zubair, Manfred Beckmann, John C. Mathers, Elaine Holmes, Gary Frost, John Draper
JOURNAL OF NUTRITION
(2019)
Article
Cell Biology
Shawon Lahiri, Hyejin Kim, Isabel Garcia-Perez, Musarrat Maisha Reza, Katherine A. Martin, Parag Kundu, Laura M. Cox, Joel Selkrig, Joram M. Posma, Hongbo Zhang, Parasuraman Padmanabhan, Catherine Moret, Balazs Gulyas, Martin J. Blaser, Johan Auwerx, Elaine Holmes, Jeremy Nicholson, Walter Wahli, Sven Pettersson
SCIENCE TRANSLATIONAL MEDICINE
(2019)
Article
Nutrition & Dietetics
Soeren Ocvirk, Annette S. Wilson, Joram M. Posma, Jia Li, Kathryn R. Koller, Gretchen M. Day, Christie A. Flanagan, Jill Evon Otto, Pam E. Sacco, Frank D. Sacco, Flora R. Sapp, Amy S. Wilson, Keith Newton, Faye Brouard, James P. DeLany, Marissa Behnning, Corynn N. Appolonia, Devavrata Soni, Faheem Bhatti, Barbara Methe, Adam Fitch, Alison Morris, H. Rex Gaskins, James Kinross, Jeremy K. Nicholson, Timothy K. Thomas, Stephen J. D. O'Keefe
AMERICAN JOURNAL OF CLINICAL NUTRITION
(2020)
Article
Biochemical Research Methods
Isabel Garcia-Perez, Joram M. Posma, Jose Ivan Serrano-Contreras, Claire L. Boulange, Queenie Chan, Gary Frost, Jeremiah Stamler, Paul Elliott, John C. Lindon, Elaine Holmes, Jeremy K. Nicholson
Article
Microbiology
N. Penney, W. Barton, J. M. Posma, A. Darzi, G. Frost, P. D. Cotter, E. Holmes, F. Shanahan, O. O'Sullivan, I Garcia-Perez
Article
Biochemistry & Molecular Biology
Cheng S. Yeung, Tim Beck, Joram M. Posma
Summary: Reviewing the metabolomics literature has become challenging due to its rapid expansion, and text-mining technologies are needed to improve efficiency. This study develops two deep learning-based methods for metabolite named entity recognition (NER) and creates a large annotated corpus of metabolomics literature. The methods achieve state-of-the-art performance on metabolite NER and demonstrate the capability of deep learning algorithms in accurately and efficiently identifying metabolite names in text.
Article
Health Care Sciences & Services
Tim Beck, Tom Shorter, Yan Hu, Zhuoyu Li, Shujian Sun, Casiana M. Popovici, Nicholas A. R. McQuibban, Filip Makraduli, Cheng S. Yeung, Thomas Rowlands, Joram M. Posma
Summary: We present Auto-CORPus, a novel NLP tool for the standardization and conversion of publication HTML and table image files to machine-interpretable outputs that support biomedical text analytics.
FRONTIERS IN DIGITAL HEALTH
(2022)
Article
Food Science & Technology
Isabel Garcia-Perez, Joram M. Posma, Edward S. Chambers, John C. Mathers, John Draper, Manfred Beckmann, Jeremy K. Nicholson, Elaine Holmes, Gary Frost
Article
Food Science & Technology
Joram M. Posma, Isabel Garcia-Perez, Gary Frost, Ghadeer S. Aljuraiban, Queenie Chan, Linda Van Horn, Martha Daviglus, Jeremiah Stamler, Elaine Holmes, Paul Elliott, Jeremy K. Nicholson
Article
Biochemistry & Molecular Biology
Claire L. Boulange, Ilse M. Rood, Joram M. Posma, John C. Lindon, Elaine Holmes, Jack F. M. Wetzels, Jeroen K. J. Deegens, Manuja R. Kaluarachchi
Article
Biochemical Research Methods
Andrea Rodriguez-Martinez, Joram M. Posma, Rafael Ayala, Ana L. Neves, Maryam Anwar, Enrico Petretto, Costanza Emanueli, Dominique Gauguier, Jeremy K. Nicholson, Marc-Emmanuel Dumas
Article
Automation & Control Systems
J. Engel, L. Blanchet, U. F. H. Engelke, R. A. Wevers, L. M. C. Buydens
CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS
(2017)
Article
Biochemical Research Methods
L. Blanchet, A. Smolinska, A. Baranska, E. Tigchelaar, M. Swertz, A. Zhernakova, J. W. Dallinga, C. Wijmenga, F. J. van Schooten
JOURNAL OF BREATH RESEARCH
(2017)