Hemoglobin C Variant Affecting Glycated Hemoglobin Test Results: A Rare Case Report

LIANG Li-bo; HE He; SUN Wan-ting; LI You-qiong; ZHANG Mei

doi:10.12182/20230560209

Volume 54 Issue 3

May 2023

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JOURNAL OF SICHUAN UNIVERSITY (MEDICAL SCIENCES) > 2023 > 54(3): 659-662. > DOI: 10.12182/20230560209

LIANG Li-bo, HE He, SUN Wan-ting, et al. Hemoglobin C Variant Affecting Glycated Hemoglobin Test Results: A Rare Case Report[J]. Journal of Sichuan University (Medical Sciences), 2023, 54(3): 659-662. DOI: 10.12182/20230560209

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Hemoglobin C Variant Affecting Glycated Hemoglobin Test Results: A Rare Case Report

1.
General Practice Medical Center/International Medical Center, West China Hospital, Sichuan University, Chengdu 610041, China
2.
Department of Laboratory Medicine, West China Hospital, Sichuan University, Chengdu 610041, China
3.
Center for Medical Genetics and Prenatal Diagnosis, People's Hospital of Guangxi Zhuang Autonomous Region, Nanning 530012, China

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Corresponding author:
ZHANG Mei, E-mail: meizhang@wchscu.cn
Received Date: July 10, 2022
Revised Date: December 08, 2022
Available Online: May 19, 2023
Published Date: May 19, 2023

Abstract

Abstract

Hemoglobin (Hb) variants are common factors that affect the results of glycosylated hemoglobin (A1C) tests. Hemoglobin variants react differently to different testing methods. Herein, we presented the first ever report of the effect of hemoglobin C (Hb C) on the test results of A1C in the Chinese population. High performance liquid chromatography (HPLC) and capillary electrophoresis were performed to measure A1C. Hemoglobin electrophoresis was conducted to identify the hemoglobin variants. Hb sequencing was performed to determine the mutation sites on the β chain. HPLC showed decreased A1C results, which could be corrected by electrophoresis, but the electrophoresis graph still showed abnormal peaks. The hemoglobin electrophoresis results suggested that there were hemoglobin variants, which hemoglobin sequencing results revealed to be Hb C. Uncommon variations in a specific population tend to be overlooked. To avoid clinical decision-making being affected by the results of a single test, we recommend that an explanatory reporting model be routinely adopted for A1C tests so that all reports always contain explanatory notes for the testing methodology and analysis of the graphs.
- Glycated hemoglobin,
- Hemoglobin variant,
- High-performance liquid Chromatography,
- Capillary electrophoresis

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