Background: Automated, technically simple analytical methods offering objective results are highly valued in clinical laboratories. Kappa free light chains (KFLC) in cerebrospinal fluid (CSF) are promising multiple sclerosis (MS) biomarkers, particularly kappa (K) index.
Methods: KFLC were determined in CSF and serum samples of patients diagnosed with MS, clinically/radiologically isolated syndrome (N, 39), and controls (N, 152; inflammatory and non-inflammatory neurological disorders). Diagnostic performance of several KFLC parameters, previously determined oligoclonal band (OCB) testing, and IgG index, was assessed. A K index decision threshold for sample screening was identified and reduction in performed OCB analyses estimated accordingly.
Results: Higher KFLC parameters were detected in the MS group and K index performed best among them (AUC 0.92). At a 7.25 cut-off it showed better sensitivity (85% vs. 77%) though less specificity (88% vs. 91%) than OCBs. Comparatively, IgG index's performance was inferior (AUC 0.83). A decision K index threshold of 2.55 (97% sensitivity) would reduce OCB testing by 52% in the studied population.
Conclusions: The proposed 7.25 cut-off could assist MS diagnostics and identify some false negative cases from OCB studies. Sequential algorithms using K index for the decision to perform OCB detection would improve laboratory efficiency and substantially reduce costs.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1016/j.cca.2022.01.017 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Syntheses, structures and anti-cancer activities of Cu and Zn complexes containing 1,1'-[(3-fluoro-phen-yl)methyl-ene]bis-[3-(3-fluoro-phen-yl)imidazo[1,5-]pyridine].
Acta Crystallogr E Crystallogr Commun
January 2025
Department of Chemistry, KU Leuven, Biomolecular Architecture, Celestijnenlaan 200F, Leuven (Heverlee), B-3001, Belgium.
Two novel complexes, [Cu()Cl] and [Zn()Cl], were synthesized from 1,1'-[(3-fluoro-phen-yl)methyl-ene]bis-[3-(3-fluoro-phen-yl)imidazo[1,5-]pyridine] (), and copper(II) and zinc(II) chloride, respectively. The structures of these complexes were confirmed using ESI-MS, IR and H NMR spectra. The results reveal mononuclear structures in which the central metal atoms are coordinated by two N atoms from the imidazole rings and two Cl ligands.
View Article and Find Full Text PDFAssessment of temporal aggregation of Sentinel-2 images on seasonal land cover mapping and its impact on landscape metrics.
Environ Monit Assess
January 2025
Universidad Nacional de Córdoba - Facultad de Ciencias Agropecuarias, X5000HUA, Córdoba, Argentina.
Landscape metrics (LM) play a crucial role in fields such as urban planning, ecology, and environmental research, providing insights into the ecological and functional dynamics of ecosystems. However, in dynamic systems, generating thematic maps for LM analysis poses challenges due to the substantial data volume required and issues such as cloud cover interruptions. The aim of this study was to compare the accuracy of land cover maps produced by three temporal aggregation methods: median reflectance, maximum normalised difference vegetation index (NDVI), and a two-date image stack using Sentinel-2 (S2) and then to analyse their implications for LM calculation.
View Article and Find Full Text PDFMolecular mechanisms of inverse agonism via κ-opioid receptor-G protein complexes.
Nat Chem Biol
January 2025
The Bridge Institute, Michelson Center for Convergent Biosciences, University of Southern California, Los Angeles, CA, USA.
Opioid receptors, a subfamily of G protein-coupled receptors (GPCRs), are key therapeutic targets. In the canonical GPCR activation model, agonist binding is required for receptor-G protein complex formation, while antagonists prevent G protein coupling. However, many GPCRs exhibit basal activity, allowing G protein association without an agonist.
View Article and Find Full Text PDFPublic Health Discussions on Social Media: Evaluating Automated Sentiment Analysis Methods.
JMIR Form Res
January 2025
Department of Health Administration, The College of Health Professions, Central Michigan University, Mt Pleasant, MI, United States.
Article Synopsis
- Sentiment analysis is a key method for analyzing text, especially in social media research, where the choice between manual and automated methods is crucial.
- The study compared several sentiment analysis tools, including VADER, TEXT2DATA, LIWC-22, and ChatGPT 4.0, against manually coded sentiment scores from YouTube comments on the opioid crisis, assessing factors like ease of use and cost.
- Findings revealed that LIWC-22 excelled in identifying sentiment patterns, while VADER was best at classifying negative comments, but overall, automated tools showed only fair agreement with manual coding, with ChatGPT performing poorly.
Kappa Free Light Chains in Multiple Sclerosis as a Marker of Intrathecal Humoral Response: A Sex-Disaggregated Study.
Diagnostics (Basel)
December 2024
Department of Neurosciences and Rehabilitation, University of Ferrara, 44121 Ferrara, Italy.
Background: Kappa free light chains (KFLCs) are emerging as promising biomarkers for intrathecal B cell activity for diagnosing multiple sclerosis (MS) through cerebrospinal fluid (CSF) analysis. In this study, we evaluated the ability of KFLC formulas to identify the presence of MS and their agreement with the 'gold standard' of CSF IgG oligoclonal bands (OCBs).
Methods: A total of 233 patients were included in this study: 149, comprising 43 males and 106 females, had MS, and the remainder, 40 males and 44 females, had other neurological diseases (ONDs).
Want AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!