Raman spectroscopy reveals LPS-induced changes of biomolecular composition in monocytic THP-1 cells in a label-free manner

Töpfer, Natalie; Mm, Müller; Dahms, Marcel; Ramoji, Anuradha; Popp, Jürgen; Slevogt, Hortense; Neugebauer, Ute

doi:10.1093/intbio/zyz009

Cited by 20 publications

(14 citation statements)

References 55 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…[ 14 , 15 , 16 , 17 , 18 ] Further Raman spectroscopy detected immune cell activation and apoptosis. [ 19 , 20 , 21 , 22 , 23 , 24 , 25 ] Recently, in vitro stimulation studies with neutrophils pointed to the potential of Raman spectroscopy to differentiate the cause of infection [ 26 ]. Also, a first study highlighted the translational potential of Raman spectroscopic leukocyte characterization for patient stratification [ 27 ].…”

Section: Introductionmentioning

confidence: 99%

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

Pistiki

Ramoji

Ryabchykov

et al. 2021

IJMS

Self Cite

View full text Add to dashboard Cite

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.

show abstract

Section: Introductionmentioning

confidence: 99%

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

Pistiki

Ramoji

Ryabchykov

et al. 2021

IJMS

Self Cite

View full text Add to dashboard Cite

show abstract

“…The spectrum exhibits a well-established pattern that is typical for bacterial spectra, where the peaks at 786, 1242, 1335, 1362, 1485, 1530, and 1575 cm −1 originate primarily from nucleic acid residues and the peaks at 762, 831, 855, 1014, 1176, 1212, and 1617 cm −1 from aromatic amino acids [28,39,[44][45][46][47][48]. The peaks at 1242 and 1335 cm −1 represent a mixture of signals from nucleic acids and aromatic amino acids [44].…”

Section: Comparison Of Raman Spectra Of Resistant and Sensitive Bacteriamentioning

confidence: 81%

Detection of multi-resistant clinical strains of E. coli with Raman spectroscopy

et al. 2022

Self Cite

View full text Add to dashboard Cite

In recent years, we have seen a steady rise in the prevalence of antibiotic-resistant bacteria. This creates many challenges in treating patients who carry these infections, as well as stopping and preventing outbreaks. Identifying these resistant bacteria is critical for treatment decisions and epidemiological studies. However, current methods for identification of resistance either require long cultivation steps or expensive reagents. Raman spectroscopy has been shown in the past to enable the rapid identification of bacterial strains from single cells and cultures. In this study, Raman spectroscopy was applied for the differentiation of resistant and sensitive strains of Escherichia coli. Our focus was on clinical multi-resistant (extended-spectrum β-lactam and carbapenem-resistant) bacteria from hospital patients. The spectra were collected using both UV resonance Raman spectroscopy in bulk and single-cell Raman microspectroscopy, without exposure to antibiotics. We found resistant strains have a higher nucleic acid/protein ratio, and used the spectra to train a machine learning model that differentiates resistant and sensitive strains. In addition, we applied a majority of voting system to both improve the accuracy of our models and make them more applicable for a clinical setting. This method could allow rapid and accurate identification of antibiotic resistant bacteria, and thus improve public health. Graphical abstract

show abstract

“…A recent macrophage activation study [54] provided further insight into the LPS induced spectral changes in a macrophage-like cell line (RAW264), where morphological and molecular information through quantitative phase imaging and CRM were acquired. A time-course study [66] has also used CRM for the characterisation of LPS induced modification in a monocytic THP-1 cell line over a 16 hour timeframe, detecting significant changes in cellular DNA, mRNA, lipid and protein structure over this period.…”

Section: Application Of Raman Spectroscopy In Identification and Classification Of Immune Cellsmentioning

confidence: 99%

A review of applications of Raman spectroscopy in immunology

Chaudhary

Wynne

Meade

2020

BSI

View full text Add to dashboard Cite

Vibrational spectroscopic techniques have recently gained increasing clinical importance as non-invasive, rapid and inexpensive methods to obtain information on the content of biological samples. For some time Raman spectroscopy has been involved in preclinical applications, mainly in the cancer space, with evolving applications towards new horizons in the dermatology and companion diagnostics arena. It is attractive as an analytical technique due to its exquisite sensitivity, labelfree operation and low water detectivity such that in-vivo applications are possible. In cytometry, Raman spectroscopy has been applied to the analysis of single cells providing a label-free alternative to cell classification approaches in the laboratory. In this review we collate in-vitro, ex-vivo and in-vivo examples of research using Raman spectroscopy for the detection, quantification and analysis of immune signaling at the cellular level. While cancer biology has recently focussed on the role of immunological signals in the development of the disease, it is timely to examine these applications as research in this space evolves.

show abstract

Raman spectroscopy reveals LPS-induced changes of biomolecular composition in monocytic THP-1 cells in a label-free manner

Cited by 20 publications

References 55 publications

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

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

Detection of multi-resistant clinical strains of E. coli with Raman spectroscopy

A review of applications of Raman spectroscopy in immunology

Contact Info

Product

Resources

About