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Journal of Clinical Laboratory Analysis logoLink to Journal of Clinical Laboratory Analysis
. 2016 May 17;30(6):1078–1080. doi: 10.1002/jcla.21983

Effects of α‐Thalassemia on HbA1c Measurement

Anping Xu 1, Ling Ji 1,, Weidong Chen 1, Yong Xia 1, Yu Zhou 1
PMCID: PMC6807009  PMID: 27184351

Abstract

Background

α‐Thalassemia is a benign condition that is often present in patients with diabetes mellitus. Here, we evaluated the effects of different genotypes α‐thalassemia on HbA1c measurement.

Methods

A total of 189 samples from nondiabetic patients were analyzed. HbA1c analysis was performed by ion‐exchange high‐performance liquid chromatography, boronate affinity HPLC, immunoassay, and capillary electrophoresis. Fasting glucose, fructosamin, and HbA2 were also performed. All samples were confirmed by genotyping for thalassemia.

Results

In patients with two or three functional α‐genes, HbA1c values were not significantly different from those of controls (P > 0.05); however, in individuals with α‐thalassemia with one functional α‐gene (i.e., HbH disease), HbA1c levels were significantly different from those of controls (P < 0.01). HbA1c values were significantly lower in individuals with HbH disease than in control individuals and patients in the other two α‐thalassemia groups. For patients with HbH disease, there were no significant differences in the four HbA1c measurement systems (P > 0.05).

Conclusions

In this study, HbA1c values in samples from individuals with two or three functional α‐genes basically reflected the normal mean blood glucose level, while those in samples from individuals with one functional α‐gene did not.

Keywords: HbA1c, HbH disease, mean blood glucose, red blood cell life span, α‐thalassemia


HbA1c, a major glycated hemoglobin characterized by nonenzymatic binding of glucose to the N‐terminal valine residue of the hemoglobin β‐chain, is a widely used biomarker in the management of diabetes 1. Hemoglobin variants and thalassemia may affect the reliability of HbA1c results due to analytical, biochemical, and biological aspects 2, 3.

Thalassemia is prevalent in the southern region of China. In Guangdong province in China, 12.03%, 3.80%, and 0.63% of individuals are carriers of α‐thalassemia, β‐thalassemia, and combined α‐/β‐thalassemia, respectively 4. Because of this high prevalence of α‐thalassemia, it is necessary to investigate the applicability of HbA1c measurement in patients with α‐thalassemia.

In this study, we investigated the effects of the number of functional α‐genes on HbA1c measurement by boronate affinity high‐performance liquid chromatography (HPLC; Ultra²; Trinity Biotech, Kansas City, MO), capillary electrophoresis (Capillarys 2 Flex Piercing [C2FP]; Sebia, Lisses, France), ion‐exchange HPLC (Variant II Turbo 2.0 [VII‐T 2.0]; Bio‐Rad Laboratories, Hercules, CA) and immunoassay (One HbA1c FS [oFS]; Diasys Diagnostics, Holzheim, Germany). For samples with two or three functional α‐genes, only two methods (Ultra² and C2FP) were tested. For samples with one functional α‐gene, including HbH or HbH compound Hb Bart's, all four methods were used. A new calibration was performed for all systems, and the quality controls were within acceptable criteria as defined by the manufacturer. The Hb concentrations of all samples ranged from 67 to 171 g/l. According to the manufacturers' instructions, the above Hb concentrations would not interfere with HbA1c measurement.

A total of 189 EDTA whole blood samples from all patients were tested for complete blood counts with red cell indices and HbA2 using an XN9000 analyzer (Sysmex, Kobe, Japan) and hemoglobin capillary electrophoresis (Sebia). Samples were separated into several aliquots and frozen at −80°C before HbA1c analysis. One aliquot was frozen at 2–8°C and was used to confirm the genotyping results. Plasma samples were tested for fasting glucose (FG), albumin, fructosamine, and ferritin immediately after centrifugation. Fifty of the 189 samples were from healthy patients, defined as the control group, had normal α and β genes (no deletions or mutations), Hb, MCV, and HbA2. Samples exceeding the FG, fructosamine, and ferritin limit of the reference interval were excluded. One hundred and thirty‐nine of the 189 samples from patients with α‐thalassemia were divided into three groups: (a) 27 samples from patients with three functional α‐genes, including genotypes ‐α3.7/αα and ‐α4.2/αα; (b) 80 samples from patients with two functional α‐genes, including genotypes ‐‐SEA/αα; and (c) 32 samples from patients with one functional α‐gene (i.e., HbH disease), including genotypes ‐‐SEA/‐α3.7 and ‐‐SEA/‐α4.2. Samples with one functional α‐gene showed elevated HbH fraction range given by C2FP from 2.7% to 12.0%. All identifying information was removed from the samples so that abnormal results could not be linked back to the patient. This study was approved by the Ethics Committee of Peking University Shenzhen Hospital.

All statistical analyses were carried out using SPSS software version 19.0 (SPSS Inc, Chicago, IL). Data are expressed as means ± standard deviations (SDs). Student's t‐tests were used to compare differences between the three α‐thalassemia groups and the control group. Differences with P‐values of <0.05 were considered statistically significant. The correlation between the HbA2 values determined by the C2FP HbA1c system and the C2FP hemoglobin system was assessed using Pearson's correlation.

Results of Hb, MCV, MCH, and HbA2 revealed a statistically significant bias between the control and α‐thalassemia groups (P < 0.01; Table 1). The degree of microcytic (low MCV), hypochromic (low MCH), anemic (low Hb), and HbA2 abnormalities depended roughly on the number of functional α‐genes, with decreases in the above four parameters as the number of functional α‐globin chain deficiencies increased (Table 1). However, there were no significant differences in FG or fructosamine between groups (P > 0.05). HbA1c values were not significantly different between the control and α‐thalassemia groups for samples from patients with two or three functional α‐genes (P > 0.05); however, HbA1c values in samples from patients with one functional α‐gene (HbH disease) were much lower than those of controls (P < 0.01; Table 1).

Table 1.

Clinical and Biochemical Demographic Data of the Studied Groups

Items Group
Controls (n = 50) Samples with α‐thalassemia
Three functional α‐genes (n = 32) Two functional α‐genes (n = 80) One functional α‐genes (HbH disease) (n = 27)
Genotype (n) αα/αα
(n = 50)
‐α3.7/αα
(n = 26)
‐α4.2/αα
(n = 6)
‐‐SEA/αα
(n = 80)
‐‐SEA/‐α3.7
(n = 17)
‐‐SEA/‐α4.2
(n = 10)
Sex
Male (n) n = 15 n = 10 n = 21 n = 7
Female (n) n = 35 n = 22 n = 59 n = 20
Age (year) 30.3 ± 7.1 32.7 ± 9.0 29.6 ± 5.4 29.1 ± 11.1
HB (g/l) 140.4 ± 16.1 126.9 ± 18.5a 117.8 ± 13.8a 95.0 ± 13.0a
MCV (fL) 90.0 ± 3.1 82.6 ± 4.1a 71.2 ± 4.3a 65 ± 4.8a
MCH (Pg) 30.2 ± 1.2 27.1 ± 1.5a 21.5 ± 1.2a 18.6 ± 0.9a
HbA2 (%)b 2.9 ± 0.3 2.6 ± 0.3a 2.3 ± 0.2a 1.1 ± 0.3a
FG (mmol/l) 5.03 ± 0.30 5.06 ± 0.37 4.95 ± 0.29 5.16 ± 0.37
Fruc (μmol/l) 209.6 ± 16.7 201.8 ± 19.2 204.2 ± 18.2 212.9 ± 14.8
HbA1c (%)
Ultra² 4.90 ± 0.48 4.81 ± 0.38 4.78 ± 0.41 3.84 ± 0.58a
VT 2.0 3.73 ± 0.47
CFP
HbA1c 5.01 ± 0.46 4.93 ± 0.36 4.97 ± 0.33 4.07 ± 0.33
(n = 18) a
HbA2 c 2.7 ± 0.3 2.4 ± 0.3a 2.1 ± 0.2a 1.0 ± 0.3a
oFS 3.91 ± 0.37

–, HbA1c was not analyzed.

a

There was statistically significant bias between the control and test groups (P < 0.05).

b

HbA2 values from the C2FP hemoglobin system.

c

HbA2 values from the C2FP HbA1c system.

C2FP HbA1c profiles allowed for easy detection of additional peaks corresponding to HbH and Hb Bart's. Because Hb Bart's peaks were located at the position of HbA1c peaks in the C2FP HbA1c profiles. Therefore, the C2FP HbA1c measurement system could not yield accurate HbA1c values in the context of Hb Bart's in nine samples. HbH or/and Hb Bart's peaks were located at the positions of A1a and A1b peaks in the VII‐T 2.0 chromatograms.

For patients with HbH disease, we used Ultra2 as a comparative system; there were no significant differences in the four assay systems (P = 0.08 for C2FP vs. Ultra2, P = 0.89 for VII‐T 2.0 vs. Ultra2, and P = 0.64 for oFS vs. Ultra2).

HbA2 values from the C2FP HbA1c system and Capillarys2 hemoglobin system were well correlated, but were lower in the C2FP HbA1c system (regression equation: y = 0.888x + 0.038; R = 0.967). Therefore, we concluded that HbA2 values determined using the C2FP HbA1c system were reliable.

HbA1c is a measure of hemoglobin glycation, and since normal RBCs have a life span of about 120 days, the HbA1c value reflects the patient's mean glycemic level for the previous 3 months before sampling 1, 5. Any conditions altering the RBC lifespan may lead to misinterpretation of the HbA1c result 6, 7. Patients with some hemoglobin variants and thalassemia have been reported to have decreased RBC life spans 8. Thus, the HbA1c values in patients carrying α‐thalassemia may be misinterpreted if compared with the normal reference cutoff value. For any conditions with abnormal RBC turnover, the ADA recommends the use of glucose criteria exclusively for the diagnosis of diabetes 9. Our study showed that the life span of RBCs is reduced as the number of functional alpha genes is decreased.

In conclusion, we found that HbA1c values in samples from individuals with two or three functional α‐genes basically reflected the normal mean blood glucose level, while those in samples from individuals with one functional α‐gene did not. So, for patients with HbH disease, HbA1c values cannot be used for the assessment of diabetes because HbA1c values do not reflect the mean blood glucose level.

Conflict of Interest

None.

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