Pistiki Aikaterini, Ramoji Anuradha, Ryabchykov Oleg, Thomas-Rüddel Daniel, Press Adrian T, Makarewicz Oliwia, Giamarellos-Bourboulis Evangelos J, Bauer Michael, Bocklitz Thomas, Popp Jürgen, Neugebauer Ute
Leibniz Institute of Photonic Technology Jena (a Member of Leibniz Health Technologies), Albert-Einstein-Straße 9, 07745 Jena, Germany.
Center for Sepsis Control and Care, Jena University Hospital, Am Klinikum 1, 07747 Jena, Germany.
Int J Mol Sci. 2021 Sep 28;22(19):10481. doi: 10.3390/ijms221910481.
Biochemical information from activated leukocytes provide valuable diagnostic information. In this study, Raman spectroscopy was applied as a label-free analytical technique to characterize the activation pattern of leukocyte subpopulations in an in vitro infection model. Neutrophils, monocytes, and lymphocytes were isolated from healthy volunteers and stimulated with heat-inactivated clinical isolates of , , and . Binary classification models could identify the presence of infection for monocytes and lymphocytes, classify the type of infection as bacterial or fungal for neutrophils, monocytes, and lymphocytes and distinguish the cause of infection as Gram-negative or Gram-positive bacteria in the monocyte subpopulation. Changes in single-cell Raman spectra, upon leukocyte stimulation, can be explained with biochemical changes due to the leukocyte's specific reaction to each type of pathogen. Raman spectra of leukocytes from the in vitro infection model were compared with spectra from leukocytes of patients with infection (DRKS-ID: DRKS00006265) with the same pathogen groups, and a good agreement was revealed. Our study elucidates the potential of Raman spectroscopy-based single-cell analysis for the differentiation of circulating leukocyte subtypes and identification of the infection by probing the molecular phenotype of those cells.
活化白细胞的生化信息可提供有价值的诊断信息。在本研究中,拉曼光谱作为一种无标记分析技术,用于表征体外感染模型中白细胞亚群的活化模式。从健康志愿者中分离出中性粒细胞、单核细胞和淋巴细胞,并用热灭活的临床分离株、和进行刺激。二元分类模型可以识别单核细胞和淋巴细胞是否存在感染,对中性粒细胞、单核细胞和淋巴细胞的感染类型进行细菌或真菌分类,并在单核细胞亚群中区分感染原因是革兰氏阴性菌还是革兰氏阳性菌。白细胞受到刺激后,单细胞拉曼光谱的变化可以用白细胞对每种病原体的特异性反应所导致的生化变化来解释。将体外感染模型中白细胞的拉曼光谱与相同病原体组的感染患者(DRKS-ID:DRKS00006265)白细胞的光谱进行比较,结果显示出良好的一致性。我们的研究阐明了基于拉曼光谱的单细胞分析在区分循环白细胞亚型以及通过探测这些细胞的分子表型来识别感染方面的潜力。