A comprehensive dataset comparing endogenous and exogenous HIL interference across diverse clinical immunoassays.

Authors

Yu Chen, Yujia Li, Yijiao Tang, Shixiao Song, Yan Wang, Xue Shen, Qingqing Wu, Yujie Tan, Fang Yu

Published in

Scientific data. Jun 28, 2026. Epub Jun 28, 2026.

Abstract

We present a dataset quantifying hemolysis, lipemia, and icterus (HIL) interferences across a range of immunoassays, including multiplex cytokine assays. The collection comprises analytical measurements from electrochemiluminescence and flow fluorescent platforms, contrasting autologous and endogenous samples with conventional commercial exogenous interference models. This study compiled the measured concentrations of biomarkers such as interleukins, NSE, folate, insulin, ProGRP, calcitonin, osteocalcin, and total P1NP in samples with varying degrees of interference, thereby highlighting significant analytical discrepancies between artificially simulated and genuine clinical samples, particularly in lipemic samples. Because this dataset captures the impact of both endogenous and exogenous interferences, it is highly suitable for clinical chemistry studies assessing the limitations of exogenous methods. In addition to the raw comparative data, we provide derived reference charts and correction formulas for hemolysis-sensitive analytes. Ultimately, these resources extend the dataset's utility, offering practical tools for clinical laboratories to refine interference validation protocols and minimize unnecessary sample rejections.

PMID:
42366262
Bibliographic data and abstract were imported from PubMed on 29 Jun 2026.

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