Raman microscopic spectroscopy as a diagnostic tool to detect Staphylococcus epidermidis in bone grafts.

Bone quality Principal component analyses Raman microscopic spectroscopy Staphylococcus epidermidis

Journal

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy
ISSN: 1873-3557
Titre abrégé: Spectrochim Acta A Mol Biomol Spectrosc
Pays: England
ID NLM: 9602533

Informations de publication

Date de publication:
05 Nov 2022
Historique:
received: 10 03 2022
revised: 02 06 2022
accepted: 26 06 2022
pubmed: 3 7 2022
medline: 10 8 2022
entrez: 2 7 2022
Statut: ppublish

Résumé

Raman microscopic spectroscopyis a new approach for further characterization and detection of molecular features in many pathological processes. This technique has been successfully applied to scrutinize the spatial distribution of small molecules and proteins within biological systems by in situ analysis. This study uses Raman microscopic spectroscopyto identify any in-depth benefits and drawbacks in diagnosing Staphylococcus epidermidis in human bone grafts. 40 non-infected human bone samples and 10 human bone samples infected with Staphylococcus epidermidis were analyzed using Raman microscopic spectroscopy. Reflectance data were collected between 200 cm Raman measurements produced distinct diagnostic spectra that were used to distinguish between non-infected human bone samples and Staphylococcus epidermidis infected human bone samples by spectral and principal component analyses. A substantial loss in bone quality and protein conformation was detected by human bone samples co-cultured with Staphylococcus epidermidis. The mineral-to-matrix ratio using the phosphate/Amide I ratio (p = 0.030) and carbonate/phosphate ratio (p = 0.001) indicates that the loss of relative mineral content in bones upon bacterial infection is higher than in non-infected human bones. Also, an increase of alterations in the collagen network (p = 0.048) and a decrease in the structural organization and relative collagen in infected human bone could be detected. Subsequent principal component analyses identified Staphylococcus epidermidis in different spectral regions, respectively, originating mainly from CH Raman microscopic spectroscopyis presented as a promising diagnostic tool to detect Staphylococcus epidermidis in human bone grafts. Further studies in human tissues are warranted.

Identifiants

pubmed: 35779474
pii: S1386-1425(22)00719-3
doi: 10.1016/j.saa.2022.121570
pii:
doi:

Substances chimiques

Phosphates 0
Collagen 9007-34-5

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

121570

Informations de copyright

Copyright © 2022 Elsevier B.V. All rights reserved.

Auteurs

A Wurm (A)

University Hospital for Orthopaedics and Traumatology, Medical University of Innsbruck, Anichstraße 35, 6020, Innsbruck, Austria.

J Kühn (J)

University Hospital for Orthopaedics and Traumatology, Medical University of Innsbruck, Anichstraße 35, 6020, Innsbruck, Austria.

K Kugel (K)

University Hospital for Orthopaedics and Traumatology, Medical University of Innsbruck, Anichstraße 35, 6020, Innsbruck, Austria.

D Putzer (D)

University Hospital for Orthopaedics and Traumatology, Medical University of Innsbruck, Anichstraße 35, 6020, Innsbruck, Austria.

R Arora (R)

University Hospital for Orthopaedics and Traumatology, Medical University of Innsbruck, Anichstraße 35, 6020, Innsbruck, Austria.

D C Coraça-Huber (DC)

University Hospital for Orthopaedics and Traumatology, Medical University of Innsbruck, Anichstraße 35, 6020, Innsbruck, Austria.

P Zelger (P)

University Clinic for Hearing, Voice and Speech Disorders, Medical University of Innsbruck, Anichstrasse 35, Innsbruck, Austria.

J Badzoka (J)

Institute of Analytical Chemistry and Radiochemistry, Innsbruck, Austria.

C Kappacher (C)

Institute of Analytical Chemistry and Radiochemistry, Innsbruck, Austria.

C W Huck (CW)

Institute of Analytical Chemistry and Radiochemistry, Innsbruck, Austria.

J D Pallua (JD)

University Hospital for Orthopaedics and Traumatology, Medical University of Innsbruck, Anichstraße 35, 6020, Innsbruck, Austria. Electronic address: johannes.pallua@i-med.ac.at.

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Classifications MeSH