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Two patients with α-chain hemoglobin variant Hb Q-Iran detected by measuring hemoglobin A1c using the variant mode of the HA-8180V HPLC analyzer.
Kinoshita, Maki; Shimomura, Daiki; Shimada, Masashi; Kamioka, Mikio; Koga, Masafumi.
Affiliation
  • Kinoshita M; Department of Laboratory Medicine, Tenri Hospital, Nara, Japan.
  • Shimomura D; Department of Laboratory Medicine, Tenri Hospital, Nara, Japan.
  • Shimada M; Department of Laboratory Medicine, Tenri Hospital, Nara, Japan.
  • Kamioka M; Department of Laboratory Medicine, Tenri Hospital, Nara, Japan.
  • Koga M; Department of Internal Medicine, Hakuhokai Central Hospital, 4-23-1 Higashisonodacho, Amagasaki, Hyogo 661-0953 Japan.
Diabetol Int ; 15(2): 302-306, 2024 Apr.
Article in En | MEDLINE | ID: mdl-38524927
ABSTRACT
Hemoglobin variants are often discovered when hemoglobin A1c (HbA1c) levels measured with a high-performance liquid chromatography (HPLC) system in fast mode are found to be low. The HA-8180V HPLC analyzer by Arkray offers two measurement modes fast mode (FM) and variant mode (VM). Two Japanese patients with α-chain variant Hb Q-Iran detected incidentally after analyses with the HA-8180V in VM showed an abnormal peak, are presented. The first patient was a man in his 70 s, and the second patient was a man in his 50 s. Both were non-diabetic, but their results from HbA1c measurement in VM showed an abnormal peak. The VM-HbA1c, FM-HbA1c, and HbA1c measured by enzymatic assay and glycated albumin levels of the two patients were all within the reference ranges. They were diagnosed as having Hb Q-Iran (α2-75Asp → His) by globin gene analysis. It is difficult to detect α-chain hemoglobin variants based on abnormal FM-HbA1c levels, but measuring HbA1c in VM is useful for efficiently detecting hemoglobin variants.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Diabetol Int Year: 2024 Document type: Article Affiliation country: Japón Country of publication: Japón

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Diabetol Int Year: 2024 Document type: Article Affiliation country: Japón Country of publication: Japón