ATR-FTIR Spectroscopy for Detection of Anti-interferon-Gamma Autoantibodies
Year: 2025
Type: article
Abstract: High Resolution Image Download MS PowerPoint Slide Introduction: Adult-onset immunodeficiency (AOID) unrelated to HIV is commonly linked to anti-interferon-gamma autoantibodies (AIGAs), predisposing patients to life-threatening opportunistic infections. Current AIGA detection methods are time-consuming and resource intensive. This study aimed to develop and validate an attenuated total reflectance-Fourier transform infrared (ATR-FTIR) technique for detecting and differentiating AIGA-positive patients. Methods: We recruited individuals into three groups: AIGA-positive patients ( n = 45), AIGA-negative patients ( n = 15), and healthy controls ( n = 15). Heparinized plasma or serum samples underwent ATR-FTIR spectroscopy. Spectral profiles were examined using principal component analysis (PCA) and partial least-squares-discriminant analysis (PLS-DA). The reference standard for AIGA concentration was determined by the inhibitory enzyme-linked immunosorbent assay (ELISA). Results: ATR-FTIR spectra revealed significant differences, especially in the amide and fingerprint regions, particularly at key wavenumbers 1632 cm –1 and 1535 cm –1 . The Amide I/Amide I + II + III ratio is significant between AIGA-positive and others and a secondary structure protein conformational change α-helix to β-sheet. PCA and PLS-DA enabled effective separation of patient groups; PLS-DA and k-NN achieved 95% accuracy, 93.3% sensitivity, and 100% specificity for differentiating AIGA-positive from negative/healthy individuals (NPV 83.3%; PPV 100%). The amide region (1700–1500 cm -1 ) delivered the best prediction accuracy. Conclusion: ATR-FTIR spectroscopy demonstrates significant potential as a rapid and effective diagnostic tool for differentiating AIGA-positive patients from healthy individuals, providing a valuable addition to clinical diagnostic practices. Further validation in larger, diverse populations is warranted.
Source: ACS Omega
Institutions: Khon Kaen University, Chiang Mai University
Language: English
Subfield: Biophysics
Domain: Life Sciences
Open Access status: gold
Estimated APC paid: $1,935
Funder: Khon Kaen University
OpenAlex ID: W7117359329
