A novel diagnostic test for arthritis: Multivariate analysis of infrared spectra of synovial fluid

1997 ◽  
Vol 3 (2) ◽  
pp. 161-167 ◽  
Author(s):  
H. H. Eysel ◽  
M. Jackson ◽  
A. Nikulin ◽  
R. L. Somorjai ◽  
G. T. D. Thomson ◽  
...  
Keyword(s):  
Multivariate Analysis ◽  
Synovial Fluid ◽  
Diagnostic Test ◽  
Infrared Spectra

A multivariate analysis for enhancing the interpretation of infrared spectra of plant residues on lithic artefacts

2020 ◽  
Vol 33 ◽  
pp. 102526
Author(s):  
Alessandro Nucara ◽  
Stella Nunziante-Cesaro ◽  
Flavia Venditti ◽  
Cristina Lemorini
Keyword(s):  
Multivariate Analysis ◽  
Infrared Spectra ◽  
Plant Residues

Increase in MEG3, MALAT1, NEAT1 significantly predicts the clinical parameters in patients with rheumatoid arthritis

2020 ◽  
Vol 17 (6) ◽  
pp. 445-457
Author(s):  
Sudipta Chatterjee ◽  
Dipanjan Bhattcharjee ◽  
Sanchaita Misra ◽  
Ayindrila Saha ◽  
Nitai Pada Bhattacharyya ◽  
...  
Keyword(s):  
Rheumatoid Arthritis ◽  
Multivariate Analysis ◽  
Synovial Fluid ◽  
Disease Activity ◽  
Peripheral Blood ◽  
Multivariate Analyses ◽  
Clinical Parameters

Aim: This study investigated deregulation of lncRNAs MEG3, MALAT1, NEAT1 and their associations with clinical parameters in rheumatoid arthritis (RA). Materials & methods: LncRNAs MALAT1, MEG3, NEAT1 were quantified from peripheral blood mono-nuclear cells (PBMCs) and plasma of 82 RA patients with 15 matched controls and from knee fluid of 24 RA patients with ten osteoarthritis controls. Multivariate analyses were performed among lncRNAs and clinical parameters of RA. Results: MALAT1, MEG3, NEAT1 were increased in PBMCs, plasma, synovial fluid (p < 0.05) of RA patients. Significant correlations were observed for MEG3 with TJC (r = 0.29), NEAT1 with TJC (r = 0.49), swollen joint count (r = 0.20), DAS28-CRP (r = 0.29). Multivariate analysis revealed that 48.5% of TJC and 31.5% of swollen joint count could be predicted by lncRNAs. Conclusion: The findings suggested that the lncRNAs might be explored as probable markers in monitoring disease activity.

Pre-processing of Fourier transform infrared spectra by means of multivariate analysis implemented in the R environment

The Analyst ◽  
2015 ◽  
Vol 140 (8) ◽  
pp. 2810-2814 ◽  
Author(s):  
Krzysztof Banas ◽  
Agnieszka Banas ◽  
Mariusz Gajda ◽  
Bohdan Pawlicki ◽  
Wojciech M. Kwiatek ◽  
...  
Keyword(s):  
Cluster Analysis ◽  
Multivariate Analysis ◽  
Fourier Transform ◽  
Infrared Spectra ◽  
Hierarchical Cluster Analysis ◽  
Traditional Approach ◽  
Hierarchical Cluster ◽  
Fourier Transform Infrared ◽  
Average Intensity ◽  
Fourier Transform Infrared Spectra

Segmentation of the hyperspectral dataset by using hierarchical cluster analysis shows its advantage over the traditional approach based on the average intensity.

Non-Subjective Diagnosis of Arthritic Disorders by Multivariate Analysis of IR Spectra of Synovial Fluid

1995 ◽  
pp. 499-500 ◽  
Author(s):  
Michael Jackson ◽  
Hans H. Eysel ◽  
R. Anthony Shaw ◽  
Glen T. D. Thomson ◽  
Henry H. Mantsch
Keyword(s):  
Multivariate Analysis ◽  
Synovial Fluid ◽  
Ir Spectra
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