M-protein interference in laboratory diagnostics: a comprehensive narrative review of mechanisms and management strategies
Monoclonal proteins (M-proteins) serve as critical biomarkers for plasma cell dyscrasias, yet their unique physicochemical properties paradoxically compromise the accuracy of routine laboratory diagnostics. Beyond causing well-documented anomalies in electrophoresis, M-protein interference pervasively affects coagulation, clinical chemistry, and immunoassay platforms, creating analytical artifacts that can fundamentally mislead clinical decision-making. The diagnostic landscape is further complicated by the widespread adoption of therapeutic monoclonal antibodies (t-mAbs), which introduce exogenous "drug spikes" mimicking disease markers and obscuring therapeutic response assessment. This narrative review elucidates the underlying mechanisms of these interferences, ranging from physical precipitation and chemical binding to immunological hook effects, and synthesizes evidence from recent clinical cohorts and technical evaluations. We critically assess the efficacy of mitigation strategies, highlighting the evolution from traditional techniques like polyethylene glycol precipitation to next-generation solutions involving mass spectrometry and artificial intelligence-driven algorithms. By establishing a comprehensive framework for the recognition and resolution of these artifacts, this article aims to equip clinicians and laboratorians with the tools necessary to ensure that laboratory diagnostics remain a pillar of patient safety.
Authors
- X.C. Li (ORCID: https://orcid.org/0000-0002-5981-2762)
- Chuanmin Tao
- Xinyu Wang
- Lin Peng
- Wei Gan
- Shanshan Liang
- Chengyao Jia
Institutions
- Xiamen University (CN)
- Sichuan University (CN)
- First Affiliated Hospital of Xiamen University (CN)
- West China Hospital of Sichuan University (CN)
- Zhongshan Hospital of Xiamen University (CN)
Publication Details
- Journal
- Clinical Chemistry and Laboratory Medicine (CCLM)
- Published
- 2026-05-11
- DOI
- https://doi.org/10.1515/cclm-2026-0118
- Primary Topic
- Advanced Proteomics Techniques and Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00