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Updated: Feb 8, 2026

In Vitro Methods for Comparing Target Binding and CDC Induction Between Therapeutic Antibodies: Applications in Biosimilarity Analysis
Published on: May 4, 2017
Complement analysis in the era of targeted therapeutics.
Zoltán Prohászka1, Michael Kirschfink2, Ashley Frazer-Abel3
13rd Department of Medicine and MTA-SE Research Group of Immunology and Hematology, Hungarian Academy of Sciences and Semmelweis University, Budapest, Hungary.
Complement analysis is expanding due to its recognized role in diseases and new therapeutics. Efforts are underway to standardize testing and improve specimen handling for more reliable results.
Area of Science:
- Immunobiology
- Clinical diagnostics
Background:
- Complement analysis was historically limited to a few tests (C3, C4, CH50) in specialized labs.
- Growing recognition of complement's role in diseases and development of targeted therapies have driven demand.
- This has led to an expansion of complement diagnostics beyond esoteric laboratories.
Purpose of the Study:
- To highlight the renaissance in complement analysis and its expanding diagnostic utility.
- To discuss the standardization efforts in complement testing.
- To emphasize the importance of pre-analytical factors like specimen handling.
Main Methods:
- Review of current practices in complement analysis.
- Discussion of collaborative efforts for standardization (International Complement Society, IUIS).
- Identification of challenges and advancements in complement testing.
Main Results:
- Complement analysis is increasingly performed in routine laboratories.
- Standardization efforts are yielding positive results in improving test consistency.
- Awareness of post-draw specimen handling is crucial to prevent ex vivo activation and ensure accurate results.
Conclusions:
- The field of complement analysis is experiencing significant growth and advancement.
- Standardization and improved pre-analytical handling are key to realizing the full potential of complement diagnostics.
- The future of complement analysis is robust, driven by clinical relevance and therapeutic interest.
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