Identification of Putative Serum Autoantibodies Associated with [LC] via Comprehensive Protein Array Analysis, 2025, Hatayama et al

Identification of Putative Serum Autoantibodies Associated with Post-Acute Sequelae of COVID-19 via Comprehensive Protein Array Analysis

Yasuyoshi Hatayama, Kei Miyakawa, Yayoi Kimura, Kazuo Horikawa, Kouichi Hirahata, Hirokazu Kimura, Hideaki Kato, Atsushi Goto, Akihide Ryo

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Abstract
Post-acute sequelae of SARS-CoV-2 infection (PASC), commonly known as “Long COVID”, represents a significant clinical challenge characterized by persistent symptoms following acute COVID-19 infection.

We conducted a comprehensive retrospective cohort study to identify serum autoantibody biomarkers associated with PASC. Initial screening using a protein bead array comprising approximately 20,000 human proteins identified several candidate PASC-associated autoantibodies.

Subsequent validation by enzyme-linked immunosorbent assay (ELISA) in an expanded cohort—consisting of PASC patients, non-PASC COVID-19 convalescents, and pre-pandemic healthy controls—revealed two promising biomarkers: autoantibodies targeting PITX2 and FBXO2. PITX2 autoantibodies demonstrated high accuracy in distinguishing PASC patients from both non-PASC convalescents (area under the curve [AUC] = 0.891) and healthy controls (AUC = 0.866), while FBXO2 autoantibodies showed moderate accuracy (AUC = 0.762 and 0.786, respectively).

Notably, the levels of these autoantibodies were associated with several PASC symptoms, including fever, dyspnea, palpitations, loss of appetite, and brain fog. The identification of PITX2 and FBXO2 autoantibodies as biomarkers not only enhances our understanding of PASC pathophysiology but also provides promising candidates for further investigation.

Link | PDF (International Journal of Molecular Sciences) [Open Access]