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Biochemical Analysis of Leukocytes after In Vitro and In Vivo Activation with Bacterial and Fungal Pathogens Using Raman Spectroscopy.
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.
Affiliation
  • Pistiki A; Leibniz Institute of Photonic Technology Jena (a Member of Leibniz Health Technologies), Albert-Einstein-Straße 9, 07745 Jena, Germany.
  • Ramoji A; Center for Sepsis Control and Care, Jena University Hospital, Am Klinikum 1, 07747 Jena, Germany.
  • Ryabchykov O; Leibniz Institute of Photonic Technology Jena (a Member of Leibniz Health Technologies), Albert-Einstein-Straße 9, 07745 Jena, Germany.
  • Thomas-Rüddel D; Center for Sepsis Control and Care, Jena University Hospital, Am Klinikum 1, 07747 Jena, Germany.
  • Press AT; Institute of Physical Chemistry and Abbe Center of Photonics, Friedrich Schiller University, Helmholtzweg 4, 07743 Jena, Germany.
  • Makarewicz O; Leibniz Institute of Photonic Technology Jena (a Member of Leibniz Health Technologies), Albert-Einstein-Straße 9, 07745 Jena, Germany.
  • Giamarellos-Bourboulis EJ; Institute of Physical Chemistry and Abbe Center of Photonics, Friedrich Schiller University, Helmholtzweg 4, 07743 Jena, Germany.
  • Bauer M; Center for Sepsis Control and Care, Jena University Hospital, Am Klinikum 1, 07747 Jena, Germany.
  • Bocklitz T; Department of Anesthesiology and Intensive Care, Jena University Hospital, Am Klinikum 1, 07747 Jena, Germany.
  • Popp J; Center for Sepsis Control and Care, Jena University Hospital, Am Klinikum 1, 07747 Jena, Germany.
  • Neugebauer U; Department of Anesthesiology and Intensive Care, Jena University Hospital, Am Klinikum 1, 07747 Jena, Germany.
Int J Mol Sci ; 22(19)2021 Sep 28.
Article in En | MEDLINE | ID: mdl-34638822
ABSTRACT
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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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Spectrum Analysis, Raman / Staphylococcus aureus / Candida albicans / Leukocytes Limits: Adult / Female / Humans / Male Language: En Journal: Int J Mol Sci Year: 2021 Document type: Article Affiliation country: Germany

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Spectrum Analysis, Raman / Staphylococcus aureus / Candida albicans / Leukocytes Limits: Adult / Female / Humans / Male Language: En Journal: Int J Mol Sci Year: 2021 Document type: Article Affiliation country: Germany