Cytobiochemical biomarkers of the state of mitochondria in humans. II. Small but clear differences between elderly people with bronchial asthma and these with no clinical symptoms or middle-aged examinees

M. Zakharchenko, N. Kosyakova, N. V. Khunderyakova, E. G. Litvinova, N. I. Fedotcheva, Polina Sсhwartsburd, M. N. Kondrashova
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引用次数: 0

Abstract

Quantitative indicators of mitochondria functions and dysfunctions were estimated by the activity of dehydrogenases (DH): succinate DH (SDH), lactate DH (LDH), LDH/SDH as glycolysis-respiration ratio or Warburg effect (WEF) measure proposed by our group. The measurements were carried out by our advanced cyto-BIO-chemical method in mitochondria within lymphocytes in a smear of blood [1, 2]. In this study we have added α-ketoglutarate (KGL) DH (KDH) measurement by blue staining of nitroblue tetrazolium and estimation of KGL influence on red staining of nucleus (KNU) by neutral red (NR). Part I of the work showed that given the great differences between the states of examinees DH activity served as sensitive biomarker [3]. WEF reveals these changes with even greater amplitude. We have shown that DH do not distinctly reveal smaller differences between elderly people with chronic bronchial asthma and control group of the same age or with healthy middle-aged examinees. However, WEF detects the smaller distinctions clearly (Fig1). Strict distribution of examinees by this indicator completely corresponds to the physician’s opinion on the clinical data. But even WEF cannot reveal very mild differences between elderly and middle-aged people within the range of norm. However, KDH and KNU detect this differences (Fig2).
人类线粒体状态的细胞生化生物标志物。2老年支气管哮喘患者与无临床症状者或中年受试者之间存在微小但明显的差异
通过脱氢酶(DH)活性:琥珀酸脱氢酶(SDH)、乳酸脱氢酶(LDH)、LDH/SDH作为糖酵解-呼吸比或Warburg效应(WEF)指标来评估线粒体功能和功能障碍的定量指标。这些测量是通过我们先进的细胞生化方法在血液涂片中淋巴细胞内的线粒体中进行的[1,2]。本研究增加了硝基蓝四唑蓝染色法测定α-酮戊二酸(KGL) DH (KDH)和中性红(NR)法测定KGL对细胞核红色染色(KNU)的影响。第一部分的工作表明,鉴于考生状态之间的巨大差异,DH活性可作为敏感的生物标志物[3]。世界经济论坛以更大的幅度揭示了这些变化。我们已经表明,DH并没有明显显示老年慢性支气管哮喘患者与同龄对照组或健康中年考生之间的差异变小。然而,WEF可以清楚地检测到较小的差异(图1)。该指标对考生的严格分布完全符合医师对临床资料的意见。但即使是世界经济论坛,也无法揭示老年人和中年人在正常范围内的细微差异。然而,KDH和KNU检测到了这种差异(图2)。
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