Results 121 to 130 of about 840,775 (293)

Dimethyl Fumarate, But Not Rituximab, Reduces Serum GFAP Levels and PIRMA in Relapsing–Remitting MS

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Serum neurofilament light chain (sNfL) and glial fibrillary acidic protein (sGFAP) levels are believed to reflect mainly acute and chronic disease processes in multiple sclerosis (MS), respectively. In this study, we investigated whether dimethyl fumarate (DMF) and rituximab (RTX) differentially affect these biomarkers.
F. Shawket, J. Lycke, J. Salzer, F. Piehl, K. Fink, N. Lange, J. Mellergård, C. Malmeström, P. Sundström, I. Erngren, A. al‐Grety, E. Freyhult, K. Kultima, J. Burman, A. Svenningsson   +14 more
wiley   +1 more source

Sertraline Treatment Can Mimic Niemann‐Pick Type C Biomarker Profile: A Diagnostic Pitfall

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Oxysterols (cholestane‐3β,5α,6β‐triol and 7‐ketocholesterol) and N‐palmitoyl‐O‐phosphocholineserine (PPCS) are sensitive biomarkers for Niemann‐Pick disease type C (NPC) screening. However, false‐positive results occur, with a biomarker profile suggestive of NPC despite the absence of pathogenic variants in genes involved in NPC or ...
Maria Makrygianni, Cecile Pagan, Antony Citterio‐Quentin, Isabelle Rouvet, Giulia Dingeo, Cyril Hanin, Claudine Laurent‐Levinson, Samia Pichard, Bénédicte Héron, Clément Gourguechon, Daniele Mandia, Jerome Guitton, Carole Lacout, Nicolas Schleinitz, Florient Potier, Olivier Flabeau, Elsa Besse‐Pinot, Foudil Lamari, Magali Pettazzoni, Yann Nadjar   +19 more
wiley   +1 more source

Uncovering G Protein‐Coupled Receptors: Novel Targets and Biomarkers for Predicting Glioma Prognosis

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Low‐grade gliomas (LGG) exhibit significant heterogeneity and recurrence risk. G protein‐coupled receptors (GPCR) contribute to glioma malignant progression, but their prognostic value remains unclear. This work attempts to formulate a GPCR‐based outcome‐predicting model for LGG. Methods Based on TCGA LGG data, the enrichment scores
Jun Yang, Dongxu Zhang, Dongyuan Liu, Da Lin, Hao Wang   +4 more
wiley   +1 more source

Bi‐ and Mono‐Allelic RFC1 Expansion in a North American Cohort With Idiopathic Axonal Neuropathy

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective RFC1 biallelic repeat expansion is increasingly recognized as a cause of chronic idiopathic axonal polyneuropathy (CIAP), but it remains challenging to know who to test. This study aims to determine the prevalence of biallelic and monoallelic RFC1 expansions and their corresponding neuropathy phenotypes in CIAP patients and identify ...
Amro M. Stino, Lavanya Muthukumar, Evan L. Reynolds, Peter Todd, Sinem Ovunc, Sheng Chih Jin, Zitian Tang, Simone Thomas, PNRR Study Group, Ahmet Höke, Brian C. Callaghan, Sarah Berth, Vinay Chaudhry, David Cornblath, Leana Doherty, Lindsey Hayes, Hristelina Ilieva, Thomas Lloyd, Mohammad Khoshnoodi, Brett McCray, Brett Morrison, Bipasha Mukherjee‐Clavin, Lyle Ostrow, Michael Polydefkis, Ricardo Roda, Charlotte Sumner   +25 more
wiley   +1 more source

myExperiment: a repository and social network for the sharing of bioinformatics workflows

myExperiment (http://www.myexperiment.org) is an online research environment that supports the social sharing of bioinformatics workflows. These workflows are procedures consisting of a series of computational tasks using web services performed on data ...
De Roure, David, Aleksejevs, Sergejs, Michaelides, Danius, Roos, Marco, Cruickshank, Don, Bhagat, Jiten, Newman, David, Goble, Carole, Li, Peter, Borkum, Mark, Bechhofer, Sean   +10 more
core   +1 more source

Rule Weight Use in Bioinformatics Data Classification

This article studies the possible application of fuzzy classification methods that use rule weights in classification of bioinformatics data, in particular, it uses algorithms Fuzzy Rule Learning Model, whose results are compared to those of Fuzzy ...
Aleksejeva, Ludmila, Gasparoviča-Asīte, Madara   +1 more
core  

AI and Bioinformatics.

AI Mag., 2004
This article is an editorial introduction to the research discipline of bioinformatics and to the articles in this special issue. In particular, we address the issue of how techniques from AI can be applied to many of the open and complex problems of modern-day molecular biology.
Glasgow, Janice, Jurisica, Igor, Rost, Burkhard   +2 more
openaire   +2 more sources

Integrated PANoptosis Profiling Identifies Immunosuppressive Subtypes and a Prognostic Signature With Functional Validation of MLKL in Glioblastoma

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective The prognosis of glioblastoma (GBM) remains highly unfavorable, largely due to high tumor heterogeneity and an immunosuppressive microenvironment. However, the functional role of PANoptosis in this context is poorly understood. Methods Patients were stratified via K‐means clustering. A risk score model was constructed using prognosis‐
Langfei Tian, Minghui Zhao, Yuanbo Hu, Kaiyue Wang, Haiguang Liu, Zetong Bai, Kebin Zheng   +6 more
wiley   +1 more source

STEM enables mapping of single-cell and spatial transcriptomics data with transfer learning

Communications Biology
Profiling spatial variations of cellular composition and transcriptomic characteristics is important for understanding the physiology and pathology of tissues.
Minsheng Hao, Erpai Luo, Yixin Chen, Yanhong Wu, Chen Li, Sijie Chen, Haoxiang Gao, Haiyang Bian, Jin Gu, Lei Wei, Xuegong Zhang   +10 more
doaj   +1 more source

Augmenting and Assaying Nav1.1 Protein Quantity for Dravet Syndrome Therapy

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Dravet Syndrome (DS) is a developmental and epileptic encephalopathy predominantly caused by heterozygous loss‐of‐function variants in SCN1A, which encodes Nav1.1. Conserved upstream open reading frames (uORFs) in SCN1A were validated to regulate translation in reporter assays, demonstrating the therapeutic viability of increasing Nav1.1 from ...
Aiswarya Saravanan, Jordan Safran, Anna Loughman, Grace Lin, Shivanshi Vaid, Dana Allababidi, Peter M. Tessier, Louis T. Dang   +7 more
wiley   +1 more source