Insights into S. aureus -Induced Bone Deformation in a Mouse Model of Chronic Osteomyelitis Using Fluorescence and Raman Imaging

Zugehörigkeit
Leibniz Institute of Photonic Technology (Member of Leibniz Health Technologies, Member of the Leibniz Centre for Photonics in Infection Research, LPI), 07745 Jena, Germany
Mandal, Shibarjun;
GND
128761288
Zugehörigkeit
Leibniz Institute of Photonic Technology (Member of Leibniz Health Technologies, Member of the Leibniz Centre for Photonics in Infection Research, LPI), 07745 Jena, Germany
Tannert, Astrid;
GND
1321559801
Zugehörigkeit
Leibniz Institute of Photonic Technology (Member of Leibniz Health Technologies, Member of the Leibniz Centre for Photonics in Infection Research, LPI), 07745 Jena, Germany
Ebert, Christina;
ORCID
0000-0001-8910-4137
Zugehörigkeit
Leibniz Institute of Photonic Technology (Member of Leibniz Health Technologies, Member of the Leibniz Centre for Photonics in Infection Research, LPI), 07745 Jena, Germany
Guliev, Rustam R.;
GND
1321560060
Zugehörigkeit
Center for Sepsis Control and Care, Jena University Hospital, 07747 Jena, Germany(L.T.)
Ozegowski, Yvonne;
Zugehörigkeit
Institute of Anatomical and Molecular Pathology, Faculty of Medicine, University of Coimbra, 3004-504 Coimbra, Portugal
Carvalho, Lina;
GND
120936208
ORCID
0000-0002-8365-1188
Zugehörigkeit
Experimental Trauma Surgery, Jena University Hospital, 07747 Jena, Germany
Wildemann, Britt;
GND
1258753537
Zugehörigkeit
Leibniz Institute of Photonic Technology (Member of Leibniz Health Technologies, Member of the Leibniz Centre for Photonics in Infection Research, LPI), 07745 Jena, Germany
Eiserloh, Simone;
GND
130665053
ORCID
0000-0002-7130-0006
Zugehörigkeit
Center for Sepsis Control and Care, Jena University Hospital, 07747 Jena, Germany(L.T.)
Coldewey, Sina M.;
GND
1182580505
Zugehörigkeit
Center for Sepsis Control and Care, Jena University Hospital, 07747 Jena, Germany(L.T.)
Löffler, Bettina;
Zugehörigkeit
BMD Software, PCI-Creative Science Park, 3830-352 Ílhavo, Portugal;
Bastião Silva, Luís;
GND
135641047
Zugehörigkeit
Institute for Medical Microbiology, Jena University Hospital, 07747 Jena, Germany
Hoerr, Verena;
GND
1137342919
ORCID
0000-0002-9328-5302
Zugehörigkeit
Center for Sepsis Control and Care, Jena University Hospital, 07747 Jena, Germany(L.T.)
Tuchscherr, Lorena;
GND
13305456X
ORCID
0000-0002-7593-6132
Zugehörigkeit
Leibniz Institute of Photonic Technology (Member of Leibniz Health Technologies, Member of the Leibniz Centre for Photonics in Infection Research, LPI), 07745 Jena, Germany
Neugebauer, Ute

Osteomyelitis is an infection of the bone that is often difficult to treat and causes a significant healthcare burden. Staphylococcus aureus is the most common pathogen causing osteomyelitis. Osteomyelitis mouse models have been established to gain further insights into the pathogenesis and host response. Here, we use an established S. aureus hematogenous osteomyelitis mouse model to investigate morphological tissue changes and bacterial localization in chronic osteomyelitis with a focus on the pelvis. X-ray imaging was performed to follow the disease progression. Six weeks post infection, when osteomyelitis had manifested itself with a macroscopically visible bone deformation in the pelvis, we used two orthogonal methods, namely fluorescence imaging and label-free Raman spectroscopy, to characterise tissue changes on a microscopic scale and to localise bacteria in different tissue regions. Hematoxylin and eosin as well as Gram staining were performed as a reference method. We could detect all signs of a chronically florid tissue infection with osseous and soft tissue changes as well as with different inflammatory infiltrate patterns. Large lesions dominated in the investigated tissue samples. Bacteria were found to form abscesses and were distributed in high numbers in the lesion, where they could occasionally also be detected intracellularly. In addition, bacteria were found in lower numbers in surrounding muscle tissue and even in lower numbers in trabecular bone tissue. The Raman spectroscopic imaging revealed a metabolic state of the bacteria with reduced activity in agreement with small cell variants found in other studies. In conclusion, we present novel optical methods to characterise bone infections, including inflammatory host tissue reactions and bacterial adaptation.

Zitieren

Zitierform:
Zitierform konnte nicht geladen werden.

Rechte

Rechteinhaber: © 2023 by the authors.

Nutzung und Vervielfältigung: