Pathogenicity Factors of Staphylococcus Pettenkoferi in Foot Wounds and Osteitis in Diabetic Patients (PETTENK-OS)

November 14, 2025 updated by: Centre Hospitalier Universitaire de Nīmes

Evaluation of Pathogenicity Factors of Staphylococcus Pettenkoferi in Foot Wounds and Osteitis in Diabetic Patients

Gram-positive cocci, particularly Staphylococcus aureus and coagulase-negative staphylococci (SCoN), are the bacteria most frequently isolated from diabetic foot ulcers. Although studies have been carried out on the role of S. aureus in the unfavorable evolution of these wounds, no studies have focused on the role of SCoN. Of the fifty or so SCoN species, not all have the same virulence potential. The role of Staphylococcus pettenkoferi is unknown, yet this bacterium is the 7th most frequently identified in diabetic foot ulcers, suggesting that it may also be involved in the pathophysiology of these infections. At Nîmes University Hospital, this bacterium is mainly identified in samples from diabetic foot ulcers or osteitis in our laboratory and 80% of the bacteria present are in biofilms.It is essential to understand the mechanisms governing these bacterial interactions and establish the true pathogenic potential of these bacteria. Recently, the Nîmes team showed that a strain of S. pettenkoferi (SP165) isolated from foot osteitis in a diabetic patient had real virulence potential. SP165 could not only produce biofilm, but could also survive in human blood, human keratinocytes and murine and human macrophages. It also caused significant embryonic mortality in a zebrafish model. A second study of 29 isolates from Nîmes University Hospital subsequently demonstrated that there were two predominant clones with different virulences. Three biofilm production profiles (rapidly and highly biofilm-producing, slowly biofilm-producing and non-biofilm-producing) and two zebrafish profiles (highly and moderately lethal) were reported by phenotypic and genomic analyses on this panel of strains. Genes for resistance, virulence and biofilm production were also found on their genomes.

Study Overview

Detailed Description

Gram-positive cocci, in particular Staphylococcus aureus and coagulase-negative staphylococci (SCoN), are the bacteria most frequently isolated from diabetic foot ulcers. While studies have been carried out on the role of S. aureus in the unfavorable evolution of these wounds, no study has focused on the role of SCoN. Of the fifty or so SCoN species, not all have the same virulence potential. The role of Staphylococcus pettenkoferi is not known. Yet this bacterium is the 7th most frequently identified in diabetic foot ulcers, suggesting that it may also be involved in the pathophysiology of these infections. In the work of Loetsche et al. a study of the microbiome of 349 diabetic foot ulcer samples by targeted 16S rDNA sequencing showed that the genus Staphylococcus was the most abundant, with a relative abundance of 22.8%, including 13.3% S. aureus and 5.3% S. pettenkoferi.

At Nîmes University Hospital, this bacterium is mainly identified in samples from diabetic foot ulcers or osteitis in our laboratory (89 isolations of S. pettenkoferi from diabetic foot ulcer samples out of 167 isolations made of this bacterium between 2018 and 2022).The difficulty of managing chronic wounds also lies in the fact that almost 80% of the bacteria present are in biofilms. It has also been established that the environment in which bacteria are found, and in particular the interactions they establish between themselves, play a significant role in delayed wound healing. It is therefore essential to understand the mechanisms governing these bacterial interactions and to establish the true pathogenic potential of these bacteria.

Recently, our team demonstrated that a strain of S. pettenkoferi (SP165) isolated from foot osteitis in a diabetic patient had real virulence potential. As well as being able to produce biofilm, SP165 was able to survive in human blood, human keratinocytes and murine and human macrophages. It also demonstrated its virulence by causing significant embryonic mortality in the zebrafish model.

A second study of 29 isolates from Nîmes University Hospital subsequently demonstrated the existence of two predominant clones with different virulences.

Three biofilm production profiles (rapidly and highly biofilm-producing, slowly biofilm-producing and non-biofilm-producing) and two zebrafish virulence profiles (highly and moderately lethal) were reported by phenotypic and genomic analyses on this panel of strains. Genes for resistance, virulence and biofilm production were also found on their genomes.

Study Type

Observational

Enrollment (Actual)

230

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

    • Gard
      • Nîmes, Gard, France, 30029
        • Nimes University Hospital

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

  • Child
  • Adult
  • Older Adult

Accepts Healthy Volunteers

No

Sampling Method

Non-Probability Sample

Study Population

The collection of strains at the Nîmes University Hospital site from 9 European laboratories collected between 2015 and 2023 for a total of 108 months was carried out between November 2021 and August 2023.

Description

Inclusion Criteria:

  • Not applicable for this research on a ready-constituted collection of strains of Staphylococcus pettenkoferi

Exclusion Criteria:

  • Not applicable for this research on a ready-constituted collection of strains of Staphylococcus pettenkoferi

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Genetic diversity of Staphyloccocus pettenkoferi strains isolated from osteitis and non-diabetic wounds, blood cultures and nasal carriage.
Time Frame: Day 0 to 3 months
Number of clades estimated via typing by complete sequencing of the bacterial genomes of all S. pettenkoferi strains and analysis of phylogenetic distances (whole genome and core genome single nucleotide polymorphisms).
Day 0 to 3 months

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Genetic diversity of Staphyloccocus pettenkoferi strains isolated from osteitis and non-diabetic wounds, blood cultures and nasal carriage.
Time Frame: 3 - 6 months
Number of clades estimated via typing by complete sequencing of the bacterial genomes of all Staphylococcus pettenkoferi strains and analysis of phylogenetic distances.
3 - 6 months
Resistome in the strain population according to sample origin:osteitis
Time Frame: 3 - 6 months
The presence of antibiotic resistance genes (resistome) will be identified by bioinformatics analysis of sequenced bacterial genomes.
3 - 6 months
Resistome in the strain population according to sample origin: non-diabetic wounds
Time Frame: 3 - 6 months
The presence of antibiotic resistance genes (resistome) will be identified by bioinformatics analysis of sequenced bacterial genomes.
3 - 6 months
Resistome in the strain population according to sample origin: diabetic wounds
Time Frame: 3 - 6 months
The presence of antibiotic resistance genes (resistome) will be identified by bioinformatics analysis of sequenced bacterial genomes.
3 - 6 months
Resistome in the strain population according to sample origin: blood cultures
Time Frame: 3 - 6 months
The presence of antibiotic resistance genes (resistome) will be identified by bioinformatics analysis of sequenced bacterial genomes.
3 - 6 months
Resistome in the strain population according to sample origin: nasal carriage
Time Frame: 3 - 6 months
The presence of antibiotic resistance genes (resistome) will be identified by bioinformatics analysis of sequenced bacterial genomes.
3 - 6 months
Virulome in the strain population according to sample origin: osteitis
Time Frame: 3 - 6 months
The presence of virulence genes (virulome) will be identified by bioinformatics analysis of sequenced bacterial genomes.
3 - 6 months
Virulome in the strain population according to sample origin: non-diabetic wounds
Time Frame: 3 - 6 months
The presence of virulence genes (virulome) will be identified by bioinformatics analysis of sequenced bacterial genomes.
3 - 6 months
Virulome in the strain population according to sample origin: diabetic wounds
Time Frame: 3 - 6 months
The presence of virulence genes (virulome) will be identified by bioinformatics analysis of sequenced bacterial genomes.
3 - 6 months
Virulome in the strain population according to sample origin: blood cultures
Time Frame: 3 - 6 months
The presence of virulence genes (virulome) will be identified by bioinformatics analysis of sequenced bacterial genomes.
3 - 6 months
Virulome in the strain population according to sample origin: nasal carriage
Time Frame: 3 - 6 months
The presence of virulence genes (virulome) will be identified by bioinformatics analysis of sequenced bacterial genomes.
3 - 6 months
Plasmids inthe strain population and according to sample origin: osteitis
Time Frame: 3 - 6 months
The presence of plasmids will be identified by bioinformatics analysis of sequenced bacterial genomes.
3 - 6 months
Plasmids inthe strain population and according to sample origin: non-diabetic wounds
Time Frame: 3 - 6 months
The presence of plasmids will be identified by bioinformatics analysis of sequenced bacterial genomes.
3 - 6 months
Plasmids inthe strain population and according to sample origin: diabetic wounds
Time Frame: 3 - 6 months
The presence of plasmids will be identified by bioinformatics analysis of sequenced bacterial genomes.
3 - 6 months
Plasmids inthe strain population and according to sample origin: blood cultures
Time Frame: 3 - 6 months
The presence of plasmids will be identified by bioinformatics analysis of sequenced bacterial genomes.
3 - 6 months
Plasmids inthe strain population and according to sample origin: nasal carriage
Time Frame: 3 - 6 months
The presence of plasmids will be identified by bioinformatics analysis of sequenced bacterial genomes.
3 - 6 months
Phenotypic resistance profiles in the population in a subsample of 85 strains
Time Frame: 6 - 14 months
The minimum inhibitory concentration for a series of antibiotics will be recorded (antibiograms of isolates).These antibiograms will be established on newly-marketed or current molecules such as Ceftarolin, Ceftobiprol, Dalbavancin, Delafloxacin, Tedizolid and Oritavancin.
6 - 14 months
Phenotypic resistance profiles in the population and according to sample origin: osteitis
Time Frame: 6 - 14 months
Minimum inhibitory concentration for a series of antibiotics (antibiograms of isolates). These antibiograms will be established on newly-marketed or current molecules such as Ceftarolin, Ceftobiprol, Dalbavancin, Delafloxacin, Tedizolid and Oritavancin.
6 - 14 months
Phenotypic resistance profiles in the population and according to sample origin: non-diabetic wounds
Time Frame: 6 - 14 months
Minimum inhibitory concentration for a series of antibiotics (antibiograms of isolates). These antibiograms will be established on newly-marketed or current molecules such as Ceftarolin, Ceftobiprol, Dalbavancin, Delafloxacin, Tedizolid and Oritavancin.
6 - 14 months
Phenotypic resistance profiles in the population and according to sample origin: diabetic wounds
Time Frame: 6 - 14 months
Minimum inhibitory concentration for a series of antibiotics (antibiograms of isolates). These antibiograms will be established on newly-marketed or current molecules such as Ceftarolin, Ceftobiprol, Dalbavancin, Delafloxacin, Tedizolid and Oritavancin.
6 - 14 months
Phenotypic resistance profiles in the population and according to sample origin: blood cultures
Time Frame: 6 - 14 months
Minimum inhibitory concentration for a series of antibiotics (antibiograms of isolates). These antibiograms will be established on newly-marketed or current molecules such as Ceftarolin, Ceftobiprol, Dalbavancin, Delafloxacin, Tedizolid and Oritavancin.
6 - 14 months
Phenotypic resistance profiles in the population and according to sample origin: nasal carriage
Time Frame: 6 - 14 months
Minimum inhibitory concentration for a series of antibiotics (antibiograms of isolates). These antibiograms will be established on newly-marketed or current molecules such as Ceftarolin, Ceftobiprol, Dalbavancin, Delafloxacin, Tedizolid and Oritavancin.
6 - 14 months
Amount of biofilm formation in the absence and presence of antibiotics in a selection (85 sub-samples) of S. pettenkoferi strains according to sample origine: osteitis
Time Frame: 6 - 14 months
Biofilm formation index in the presence/absence of a series of antibiotics (antibiograms of isolates). These antibiotics will be newly-marketed or current molecules such as Ceftarolin, Ceftobiprol, Dalbavancin, Delafloxacin, Tedizolid and Oritavancin. Results recorded on a scale ranging from 0 = biofilm and 12 = no biofilm
6 - 14 months
Amount of biofilm formation in the absence and presence of antibiotics in a selection (85 sub-samples) of S. pettenkoferi strains according to sample origine: non-diabetic wounds
Time Frame: 6 - 14 months
Biofilm formation index in the presence/absence of a series of antibiotics (antibiograms of isolates). These antibiotics will be newly-marketed or current molecules such as Ceftarolin, Ceftobiprol, Dalbavancin, Delafloxacin, Tedizolid and Oritavancin. Results recorded on a scale ranging from 0 = biofilm and 12 = no biofilm
6 - 14 months
Amount of biofilm formation in the absence and presence of antibiotics in a selection (85 sub-samples) of S. pettenkoferi strains according to sample origine: diabetic wounds
Time Frame: 6 - 14 months
Biofilm formation index in the presence/absence of a series of antibiotics (antibiograms of isolates). These antibiotics will be newly-marketed or current molecules such as Ceftarolin, Ceftobiprol, Dalbavancin, Delafloxacin, Tedizolid and Oritavancin. Results recorded on a scale ranging from 0 = biofilm and 12 = no biofilm
6 - 14 months
Amount of biofilm formation in the absence and presence of antibiotics in a selection (85 sub-samples) of S. pettenkoferi strains according to sample origine: blood cultures
Time Frame: 6 - 14 months
Biofilm formation index in the presence/absence of a series of antibiotics (antibiograms of isolates). These antibiotics will be newly-marketed or current molecules such as Ceftarolin, Ceftobiprol, Dalbavancin, Delafloxacin, Tedizolid and Oritavancin. Results recorded on a scale ranging from 0 = biofilm and 12 = no biofilm
6 - 14 months
Amount of biofilm formation in the absence and presence of antibiotics in a selection (85 sub-samples) of S. pettenkoferi strains according to sample origine: nasal carriage
Time Frame: 6 - 14 months
Biofilm formation index in the presence/absence of a series of antibiotics (antibiograms of isolates). These antibiotics will be newly-marketed or current molecules such as Ceftarolin, Ceftobiprol, Dalbavancin, Delafloxacin, Tedizolid and Oritavancin. Results recorded on a scale ranging from 0 = biofilm and 12 = no biofilm
6 - 14 months
Bacterial growth rate according to sample origin in a sub-sample of 20 strains: osteitis
Time Frame: 6 - 14 months
Bacterial growth curve by measuring absorbance on bacterial culture over time.
6 - 14 months
Bacterial growth rate according to sample origin in a sub-sample of 20 strains: non-diabetic wounds
Time Frame: 6 - 14 months
Bacterial growth curve by measuring absorbance on bacterial culture over time.
6 - 14 months
Bacterial growth rate according to sample origin in a sub-sample of 20 strains: diabetic wounds
Time Frame: 6 - 14 months
Bacterial growth curve by measuring absorbance on bacterial culture over time.
6 - 14 months
Bacterial growth rate according to sample origin in a sub-sample of 20 strains: blood cultures
Time Frame: 6 - 14 months
Bacterial growth curve by measuring absorbance on bacterial culture over time.
6 - 14 months
Bacterial growth rate according to sample origin in a sub-sample of 20 strains: nasal carriage
Time Frame: 6 - 14 months
Bacterial growth curve by measuring absorbance on bacterial culture over time.
6 - 14 months
Virulence profiles according to sample origin in a sub-sample of 3 strains: osteitis
Time Frame: 6 - 14 months
The rate of internalisation and release of LDH (a sign of cellular toxicity of the bacterial isolate) in an in vitro osteoblast cell culture model (MC3T3-E1)
6 - 14 months
Virulence profiles according to sample origin in a sub-sample of 3 strains: intracellular bacterial multiplication of S. pettenkoferi strains from osteitis
Time Frame: 6 - 14 months
The amount of intracellular bacterial multiplication will be assessed in an in vitro macrophage cell culture model (RAW 264.7).
6 - 14 months
Virulence profiles according to sample origin in a sub-sample of 3 strains: diabetic wounds
Time Frame: 6 - 14 months
The rate of internalisation and release of LDH (a sign of cellular toxicity of the bacterial isolate) in an in vitro osteoblast cell culture model (MC3T3-E1)
6 - 14 months
Virulence profiles according to sample origin in a sub-sample of 3 strains: intracellular bacterial multiplication of S. pettenkoferi strains from diabetic wounds
Time Frame: 6 - 14 months
The amount of intracellular bacterial multiplication will be assessed in an in vitro macrophage cell culture model (RAW 264.7).
6 - 14 months
Virulence profiles according to sample origin in a sub-sample of 3 strains: blood cultures
Time Frame: 6 - 14 months
The rate of internalisation and release of LDH (a sign of cellular toxicity of the bacterial isolate) in an in vitro osteoblast cell culture model (MC3T3-E1)
6 - 14 months
Virulence profiles according to sample origin in a sub-sample of 3 strains:intracellular bacterial multiplication of S. pettenkoferi strains from blood cultures
Time Frame: 6 - 14 months
The amount of intracellular bacterial multiplication will be assessed in an in vitro macrophage cell culture model (RAW 264.7).
6 - 14 months
Virulence profiles according to sample origin in a sub-sample of 3 strains: nasal carriage
Time Frame: 6 - 14 months
The rate of internalisation and release of LDH (a sign of cellular toxicity of the bacterial isolate) in an in vitro osteoblast cell culture model (MC3T3-E1)
6 - 14 months
Virulence profiles according to sample origin in a sub-sample of 3 strains:intracellular bacterial multiplication of S. pettenkoferi strains from nasal carriage
Time Frame: 6 - 14 months
The amount of intracellular bacterial multiplication will be assessed in an in vitro macrophage cell culture model (RAW 264.7).
6 - 14 months
Virulence profiles according to sample origin in a sub-sample of 3 strains: survival time of diabetic zebrafish immersed in S. pettenkoferi strains from osteitis
Time Frame: Up to 48 hours
Survival curve at 48 hours
Up to 48 hours
Virulence profiles according to sample origin in a sub-sample of 3 strains: survival time of diabetic zebrafish immersed in S. pettenkoferi strains from non-diabetic wounds
Time Frame: Up to 48 hours
Survival curve at 48 hours
Up to 48 hours
Virulence profiles according to sample origin in a sub-sample of 3 strains: survival time of diabetic zebrafish immersed in S. pettenkoferi strains from diabetic wounds
Time Frame: Up to 48 hours
Survival curve at 48 hours
Up to 48 hours
Virulence profiles according to sample origin in a sub-sample of 3 strains: survival time of diabetic zebrafish immersed in S. pettenkoferi strains from blood cultures
Time Frame: Up to 48 hours
Survival curve at 48 hours
Up to 48 hours
Virulence profiles according to sample origin in a sub-sample of 3 strains: survival time of diabetic zebrafish immersed in S. pettenkoferi strains from nasal carriage
Time Frame: Up to 48 hours
Survival curve at 48 hours
Up to 48 hours

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

January 1, 2024

Primary Completion (Estimated)

December 31, 2025

Study Completion (Estimated)

May 1, 2026

Study Registration Dates

First Submitted

November 9, 2024

First Submitted That Met QC Criteria

November 12, 2024

First Posted (Actual)

November 14, 2024

Study Record Updates

Last Update Posted (Actual)

November 17, 2025

Last Update Submitted That Met QC Criteria

November 14, 2025

Last Verified

November 1, 2025

More Information

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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