Portable Mid-Infrared Spectroscopy Combined with Chemometrics to Diagnose Fibromyalgia and Other Rheumatologic Syndromes Using Rapid Volumetric Absorptive Microsampling.

Autor: Nuguri SM; Department of Food Science and Technology, The Ohio State University, Columbus, OH 43210, USA., Hackshaw KV; Department of Internal Medicine, Division of Rheumatology, Dell Medical School, The University of Texas, 1601 Trinity St., Austin, TX 78712, USA., de Lamo Castellvi S; Department of Food Science and Technology, The Ohio State University, Columbus, OH 43210, USA.; Campus Sescelades, Departament d'Enginyeria Química, Universitat Rovira i Virgili, Av. Països Catalans 26, 43007 Tarragona, Spain., Bao H; Department of Food Science and Technology, The Ohio State University, Columbus, OH 43210, USA., Yao S; Department of Nutrition and Food Hygiene, School of Public Health, Southeast University, Nanjing 210019, China., Aziz R; Department of Internal Medicine, Dell Medical School, The University of Texas, 1601 Trinity St., Austin, TX 78712, USA., Selinger S; Department of Internal Medicine, Dell Medical School, The University of Texas, 1601 Trinity St., Austin, TX 78712, USA., Mikulik Z; Department of Internal Medicine, Division of Immunology and Rheumatology, The Ohio State University, 480 Medical Center Dr, Columbus, OH 43210, USA., Yu L; Center of Biostatistics and Bioinformatics, The Ohio State University, Columbus, OH 43210, USA., Osuna-Diaz MM; Department of Internal Medicine, Dell Medical School, The University of Texas, 1601 Trinity St., Austin, TX 78712, USA., Sebastian KR; Department of Internal Medicine, Dell Medical School, The University of Texas, 1601 Trinity St., Austin, TX 78712, USA., Giusti MM; Department of Food Science and Technology, The Ohio State University, Columbus, OH 43210, USA., Rodriguez-Saona L; Department of Food Science and Technology, The Ohio State University, Columbus, OH 43210, USA.
Jazyk: angličtina
Zdroj: Molecules (Basel, Switzerland) [Molecules] 2024 Jan 15; Vol. 29 (2). Date of Electronic Publication: 2024 Jan 15.
DOI: 10.3390/molecules29020413
Abstrakt: The diagnostic criteria for fibromyalgia (FM) have relied heavily on subjective reports of experienced symptoms coupled with examination-based evidence of diffuse tenderness due to the lack of reliable biomarkers. Rheumatic disorders that are common causes of chronic pain such as rheumatoid arthritis, systemic lupus erythematosus, osteoarthritis, and chronic low back pain are frequently found to be comorbid with FM. As a result, this can make the diagnosis of FM more challenging. We aim to develop a reliable classification algorithm using unique spectral profiles of portable FT-MIR that can be used as a real-time point-of-care device for the screening of FM. A novel volumetric absorptive microsampling (VAMS) technique ensured sample volume accuracies and minimized the variation introduced due to hematocrit-based bias. Blood samples from 337 subjects with different disorders (179 FM, 158 non-FM) collected with VAMS were analyzed. A semi-permeable membrane filtration approach was used to extract the blood samples, and spectral data were collected using a portable FT-MIR spectrometer. The OPLS-DA algorithm enabled the classification of the spectra into their corresponding classes with 84% accuracy, 83% sensitivity, and 85% specificity. The OPLS-DA regression plot indicated that spectral regions associated with amide bands and amino acids were responsible for discrimination patterns and can be potentially used as spectral biomarkers to differentiate FM and other rheumatic diseases.
Databáze: MEDLINE
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