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Updated: Jun 21, 2025

A Precision Medicine Tool for Measurement and Monitoring of Hemoglobin S in Sickle Cell Disease Patients Receiving Transfusion Therapy
A Hemoglobinopathy That Produces an Array of Different Hemoglobin A1c Values.
Maximo J Marin1, Bremansu Osa-Andrews1, Patrick A Maher1
1Department of Pathology, Immunology and Laboratory Medicine, University of Florida College of Medicine Gainesville, FL, USA.
HbA1c testing can be affected by rare hemoglobinopathies like Hb Wayne, leading to falsely high results in non-diabetic patients. This case highlights the importance of method comparison for accurate diabetes diagnosis.
Area of Science:
- Clinical Chemistry
- Hematology
- Genetics
Background:
- Hemoglobin A1c (HbA1c) is a key biomarker for diabetes mellitus diagnosis, reflecting average blood glucose over ~3 months.
- Ion-exchange chromatography is a common method for HbA1c determination, capable of detecting common hemoglobin variants.
- Certain hemoglobinopathies can lower HbA1c by reducing red blood cell lifespan, while others can interfere with measurement.
Observation:
- A normoglycemic individual presented with significantly elevated HbA1c levels.
- The elevated HbA1c was initially measured using standard laboratory methods.
- Multiple testing methods, including immunoassay and capillary electrophoresis, were employed for verification.
Findings:
- A rare hemoglobinopathy, Hb Wayne (a frameshift mutation in the alpha globin gene), was identified as the cause of artifactual HbA1c elevation.
- Hb Wayne leads to an extended alpha globin polypeptide, forming Hb Wayne I and II variants.
- Alternative ion-exchange systems flagged the result as unreportable due to interference from Hb Wayne.
Implications:
- Artifactual HbA1c elevation can lead to misdiagnosis of diabetes mellitus and unnecessary treatment.
- Method comparison and awareness of hemoglobinopathies are crucial for accurate clinical interpretation of HbA1c results.
- Hb Wayne is a clinically silent disorder with no hematologic consequences, but significant implications for diagnostic testing.
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