CD4+ t细胞分层尼日利亚HIV患者血液学参数和血清β -2微球蛋白水平的变化

J. Olaniyi, G. J. Emeka, A. Onifade, A. Adeyanju, S. Rahamon
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引用次数: 1

摘要

介绍。有报告显示,HIV感染患者的β -2微球蛋白(β2M)浓度升高,且升高程度与疾病负担程度密切相关,可能是死亡的独立预后指标。然而,缺乏关于血液学特征改变(HIV发病率和死亡率的常见原因)与β2M之间相互作用的信息。的目标。因此,本研究评估了尼日利亚HIV患者根据CD4+ t细胞计数分层的选定血液学参数和β2M的变化。材料和方法。48名无症状、未接受药物治疗的HIV患者被纳入这项横断面研究。采用标准方法测定血红蛋白浓度(Hb)、堆积细胞体积(PCV)、白细胞总数和差异数、血小板计数和CD4+ t细胞计数,ELISA法测定血清β2M水平。之后,根据CD4+ t细胞计数将患者分为三组。结果。Hb和淋巴细胞计数随着CD4+ t细胞计数的增加而增加。相比之下,中性粒细胞百分比、MCV和MCH随着CD4+ t细胞计数的增加而降低。与CD4+ t细胞计数<200细胞/μl的患者相比,CD4+ t细胞计数在500 ~ 800细胞/μl的患者淋巴细胞的平均百分比显著增高,中性粒细胞的平均百分比显著降低。同样,CD4+ t细胞计数500 ~ 800个细胞/μl患者的平均MCV也明显低于CD4+ t细胞计数200 ~ 499个细胞/μl和CD4+ t细胞计数<200个细胞/μl的患者。在CD4+ t细胞计数<200细胞/μl的患者中,β2M与WBC、中性粒细胞百分比呈显著正相关,与淋巴细胞百分比、MCH呈显著负相关。而在CD4+ t细胞计数为500 ~ 800个/μl的患者中,β2M与PCV、Hb、单核细胞及形态学呈显著正相关。结论。从本研究可以得出结论,HIV感染与血液学特征的改变有关,并且这种改变依赖于CD4+ t细胞计数。此外,β2M浓度升高似乎是CD4+ t细胞计数低的患者淋巴肿大的标志。
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Changes in haematological parameters and serum beta-2-microglobulin levels in CD4+ T-cells-stratified Nigerian HIV patients
Introduction. Reports have shown that there is a rise in beta-2-microglobulin (β2M) concentration in patients with HIV infection and that the degree of elevation correlates well with the extent of disease burden and could be an independent prognostic marker for death. However, there is the dearth of information on the interplay between alteration in haematological profile, a common cause of morbidity and mortality in HIV, and β2M. Aim. Changes in selected haematological parameters and β2M in Nigerian HIV patients stratified based on CD4+ T-cells counts were thus assessed in this study. Material and methods. Forty-eight asymptomatic, drug naive HIV patients were enrolled into this cross-sectional study. Haemoglobin concentration (Hb), packed cell volume (PCV), total and differential white blood cell count, platelet count and CD4+ T-cells count were determined using standard methods while serum levels of β2M were determined using ELISA. Thereafter, the patients were stratified into three groups based on the CD4+ T-cells count. Results. Hb and lymphocyte counts increased with increasing CD4+ T-cells count. In contrast, neutrophils percentage, MCV and MCH reduced with increasing CD4+ T-cells count. The mean lymphocytes percentage was significantly higher while the mean neutrophils percentage was significantly lower in patients with CD4+ T-cells count of 500–800 cells/μl compared with the patients with CD4+ T-cells count <200 cells/μl. Similarly, the mean MCV was significantly lower in patients with CD4+ T-cells count of 500–800 cells/μl compared with patients with CD4+ T-cells count of 200–499 cells/μl and patients with CD4+ T-cells count <200 cells/μl. β2M had significant positive correlation with WBC and neutrophils percentage but had a significant negative correlation with lymphocytes percentage and MCH in patients with CD4+ T-cells count <200 cells/μl. However, β2M had significant positive correlation with PCV, Hb, monocytes and morphology in patients with CD4+ T-cells count of 500–800 cells/μl. Conclusion. It could be concluded from this study that HIV infection is associated with alteration in haematological profile and the alteration is CD4+ T-cells count-dependent. Also, elevation in β2M concentration appears to be a marker of lymphopaenia in patients with low CD4+ T-cells count.
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