Biochemical Analysis of Leukocytes after In Vitro and In Vivo Activation with Bacterial and Fungal Pathogens Using Raman Spectroscopy

GND
1244950157
Zugehörigkeit
Leibniz Institute of Photonic Technology Jena
Pistiki, Aikaterini;
GND
1229402179
ORCID
0000-0003-2723-6614
Zugehörigkeit
Leibniz Institute of Photonic Technology Jena
Ramoji, Anuradha;
GND
1194391788
ORCID
0000-0002-4655-8080
Zugehörigkeit
Leibniz Institute of Photonic Technology Jena
Ryabchykov, Oleg;
GND
1136629769
ORCID
0000-0001-9143-8566
Zugehörigkeit
Center for Sepsis Control and Care, Jena University Hospital
Thomas-Rüddel, Daniel;
GND
1114741418
ORCID
0000-0002-6089-6764
Zugehörigkeit
Center for Sepsis Control and Care, Jena University Hospital, Am Klinikum 1, 07747 Jena, Germany;(D.T.-R.);(A.T.P.);(M.B.)
Press, Adrian T.;
GND
132594781
Zugehörigkeit
Institute of Infectious Diseases and Infection Control, Jena University Hospital
Makarewicz, Oliwia;
Zugehörigkeit
4th Department of Internal Medicine, Medical School, National and Kapodistrian University of Athens, Rimini Street 1, 12462 Athens, Greece;
Giamarellos-Bourboulis, Evangelos J.;
GND
137650922
Zugehörigkeit
Center for Sepsis Control and Care, Jena University Hospital
Bauer, Michael;
GND
101788207X
ORCID
0000-0003-2778-6624
Zugehörigkeit
Leibniz Institute of Photonic Technology Jena
Bocklitz, Thomas;
GND
131701819
ORCID
0000-0003-4257-593X
Zugehörigkeit
Leibniz Institute of Photonic Technology Jena
Popp, Jürgen;
GND
13305456X
Zugehörigkeit
Leibniz Institute of Photonic Technology Jena
Neugebauer, Ute

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 Candida albicans , Staphylococcus aureus , and Klebsiella pneumoniae . 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.

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