Haemoglobin types and variant interference with HbA1c and its association with uncontrolled HbA1c in type 2 diabetes mellitus.

IF 1.6 Q2 MULTIDISCIPLINARY SCIENCES
Joseph Malaba, Paul Kosiyo, Bernard Guyah
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引用次数: 0

Abstract

Diabetes mellitus is among the leading global health concerns, causing over 1.5 million deaths alongside other significant comorbidities and complications. Conventional diagnosis involves estimating fasting, random blood glucose levels and glucose tolerance test. For monitoring purposes, long-term glycaemic control has been achieved through the measurement of glycated haemoglobin (HbA1c) which is considered reliable and preferred tool. However, its estimation could be affected by haemoglobin types like HbA0, HbA2, and HbF concentrations whose magnitude remains unclear as well as other haematological parameters. As such, the current study determined the association between HbA1c and haemoglobin types and determined correlation between haemoglobin types and haematological parameters among patients with type 2 diabetes mellitus (T2DM) compared to healthy non-diabetic participants. In this cross-sectional study, participants [n = 144 (72 per group), ages 23-80 years] were recruited and the desired parameter measured. HbA1c and other Haemoglobin variants were measured using ion-exchange high-performance liquid chromatography (HPLC) by the Bio-Rad D-10 machine (Bio-Rad Laboratories, Inc). Haematological parameters were measured using the Celtac G MEK-i machine (Nihon Kohden Europe). SPSS version 27 (IBM Corporation, Chicago, Illinois, United States) was used for the analysis. Chi-square (χ2) analysis, Mann-Whitney U test, Binary logistic regression and Pearson correlation were used to determine the differences between proportions, compare laboratory characteristics, associations and correlations respectively. With non-diabetics as the reference group, HbA1c was associated with increased HbA0 [OR = 1.509, 95% CI = 1.020-1.099, p = 0.003] and increased HbA2 [OR = 3.893, 95% CI = 2.161-7.014, p = 0.001]. However, there was no significant association between HbA1c and HbF [OR = 2.062, 95% CI = 0.873-4.875, p = 0.099]. Further, haematocrit (HCT) had a negative correlation with HbAO and a positive correlation with HbAS in participants with controlled diabetes. Mean cell volume (MCV) and mean cell haemoglobin (MCH) had a negative correlation with HbF. MCHC (mean cell haemoglobin concentration) had a negative correlation with HbA2 in participant with uncontrolled diabetes. The study concluded that levels of various haemoglobin types should be considered while monitoring glycaemic control through HbA1c. Additionally, MCHC should be considered in individuals with high concentration of HbA2 among T2DM patients while interpretating results for HbA1c.

血红蛋白类型和变体对 HbA1c 的干扰及其与 2 型糖尿病患者不受控制的 HbA1c 的关系。
糖尿病是全球最主要的健康问题之一,导致 150 多万人死亡,并伴有其他严重的并发症。传统诊断方法包括估计空腹、随机血糖水平和葡萄糖耐量试验。在监测方面,长期血糖控制是通过测量糖化血红蛋白(HbA1c)来实现的,HbA1c 被认为是可靠和首选的工具。然而,HbA1c 的估算可能会受到 HbA0、HbA2 和 HbF 等血红蛋白类型的影响,而这些血红蛋白的浓度大小以及其他血液学参数尚不明确。因此,本研究确定了 HbA1c 与血红蛋白类型之间的关联,并确定了 2 型糖尿病(T2DM)患者与健康的非糖尿病参与者相比,血红蛋白类型与血液学参数之间的相关性。在这项横断面研究中,招募了[n = 144(每组 72 人),年龄 23-80 岁]的参与者,并测量了所需的参数。使用 Bio-Rad D-10 仪器(Bio-Rad Laboratories, Inc)的离子交换高效液相色谱法(HPLC)测量 HbA1c 和其他血红蛋白变体。使用 Celtac G MEK-i 仪器(Nihon Kohden Europe)测量血液学参数。分析使用 SPSS 27 版(IBM 公司,美国伊利诺斯州芝加哥市)。池方(χ2)分析、曼-惠特尼 U 检验、二元逻辑回归和皮尔逊相关分别用于确定比例差异、比较实验室特征、关联性和相关性。以非糖尿病患者为参照组,HbA1c 与 HbA0 增加相关[OR = 1.509,95% CI = 1.020-1.099,p = 0.003],与 HbA2 增加相关[OR = 3.893,95% CI = 2.161-7.014,p = 0.001]。然而,HbA1c 和 HbF 之间没有明显的关联[OR = 2.062,95% CI = 0.873-4.875,p = 0.099]。此外,在糖尿病得到控制的参与者中,血细胞比容(HCT)与 HbAO 呈负相关,而与 HbAS 呈正相关。平均细胞体积(MCV)和平均细胞血红蛋白(MCH)与 HbF 呈负相关。在未控制的糖尿病患者中,MCHC(平均细胞血红蛋白浓度)与 HbA2 呈负相关。研究得出结论,在通过 HbA1c 监测血糖控制情况时,应考虑各种血红蛋白类型的水平。此外,在解释 HbA1c 的结果时,应考虑 T2DM 患者中 HbA2 浓度较高者的 MCHC。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
BMC Research Notes
BMC Research Notes Biochemistry, Genetics and Molecular Biology-Biochemistry, Genetics and Molecular Biology (all)
CiteScore
3.60
自引率
0.00%
发文量
363
审稿时长
15 weeks
期刊介绍: BMC Research Notes publishes scientifically valid research outputs that cannot be considered as full research or methodology articles. We support the research community across all scientific and clinical disciplines by providing an open access forum for sharing data and useful information; this includes, but is not limited to, updates to previous work, additions to established methods, short publications, null results, research proposals and data management plans.
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