王文惠, 杨卫华, 堵一乔, 史学娟, 杨振华. 糖尿病患者血清拉曼光谱与常规检测的临床分析[J]. 实用临床医药杂志, 2019, 23(12): 12-15. DOI: 10.7619/jcmp.201912004
引用本文: 王文惠, 杨卫华, 堵一乔, 史学娟, 杨振华. 糖尿病患者血清拉曼光谱与常规检测的临床分析[J]. 实用临床医药杂志, 2019, 23(12): 12-15. DOI: 10.7619/jcmp.201912004
WANG Wenhui, YANG Weihua, DU Yiqiao, SHI Xuejuan, YANG Zhenhua. Clinical analysis of serum Raman spectroscopy and routine detection in diabetic patients[J]. Journal of Clinical Medicine in Practice, 2019, 23(12): 12-15. DOI: 10.7619/jcmp.201912004
Citation: WANG Wenhui, YANG Weihua, DU Yiqiao, SHI Xuejuan, YANG Zhenhua. Clinical analysis of serum Raman spectroscopy and routine detection in diabetic patients[J]. Journal of Clinical Medicine in Practice, 2019, 23(12): 12-15. DOI: 10.7619/jcmp.201912004

糖尿病患者血清拉曼光谱与常规检测的临床分析

Clinical analysis of serum Raman spectroscopy and routine detection in diabetic patients

  • 摘要:
      目的  探讨拉曼光谱与常规检测在糖尿病患者中的应用价值。
      方法  选取1 000例健康人群、300例糖尿病患者和19例新患糖尿病患者。检测并比较所有样本的糖化血红蛋白(HbA1c)、糖化白蛋白(GA)、游离脂肪酸(FFA)、胰岛素(INS)、1, 5-脱水葡糖醇(1, 5-AG)。采用拉曼光谱进行分析并计算误差率。
      结果  健康组HbA1c、GA、FFA、INS和1, 5-AG的含量与糖尿病组、新患糖尿病组相比均有显著差异(P < 0.05); 新患糖尿病组的GA、FFA和1, 5-AG含量与糖尿病组相比有显著差异(P < 0.05), 而HbA1c和INS含量无显著差异(P>0.05)。3类样本的拉曼谱峰相似,无法从谱峰上进行区分。PCA-LDA分析可较好地区分3类样本,总体误差率仅为0.3%。
      结论  采用PCA-LDA进一步对所测拉曼光谱进行分析,可有效区分3类样本,为糖尿病的临床分级和治疗提供参考依据。

     

    Abstract:
      Objective  To investigate the clinical value of Raman spectroscopy and routine detection in diabetic patients.
      Methods  A total of 1 000 healthy people, 300 diabetic patients and 19 newly diagnosed diabetic patients were selected. All samples were detected for glycated hemoglobin (HbA1c), glycated albumin (GA), free fatty acid (FFA), insulin (INS) and 1, 5-anhydroglucitol (1, 5-AG). Raman spectrum was used for analysis and the error rate was calculated.
      Results  There were significant differences in levels of HbA1c, GA, FFA, INS and 1, 5-AG between the healthy group and diabetic group, newly diagnosed diabetic group (P < 0.05). There were significant differences in levels of GA, FFA and 1, 5-AG between the newly diagnosed diabetic group and the diabetic group (P < 0.05), while the levels of HbA1c and INS showed no significant differences (P>0.05). The Raman peaks of the three types of samples were similar, and it was impossible to distinguish three types of samples from the peaks. The PCA-LDA analysis was able to distinguish three types of samples, and the overall error rate was only 0.3%.
      Conclusion  Application of PCA-LDA for further analysis of the measured Raman spectroscopy result can effectively distinguish three types of samples, and provide reference for clinical grading and treatment of diabetes.

     

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