- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT06688084
Pathogenicity Factors of Staphylococcus Pettenkoferi in Foot Wounds and Osteitis in Diabetic Patients (PETTENK-OS)
Evaluation of Pathogenicity Factors of Staphylococcus Pettenkoferi in Foot Wounds and Osteitis in Diabetic Patients
Study Overview
Status
Conditions
Intervention / Treatment
- Other: Molecular epidemiology of the collection
- Other: Study of the resistome of the S. pettenkoferi population
- Other: Study of the virulome of the S. pettenkoferi population
- Other: Study of the resistance profiles of all S. pettenkoferi isolates
- Other: Selection of strains for in-depth phenotypic study
- Other: Selection of strains (n=3) for the virulence study
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
Enrollment (Actual)
Contacts and Locations
Study Locations
-
-
Gard
-
Nîmes, Gard, France, 30029
- Nimes University Hospital
-
-
Participation Criteria
Eligibility Criteria
Ages Eligible for Study
- Child
- Adult
- Older Adult
Accepts Healthy Volunteers
Sampling Method
Study Population
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
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
Collaborators
Investigators
- Principal Investigator: Chloé MAGNAN, Dr., Nîmes University Hospital, France
Study record dates
Study Major Dates
Study Start (Actual)
Primary Completion (Estimated)
Study Completion (Estimated)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
- Endocrine System Diseases
- Bone Diseases
- Musculoskeletal Diseases
- Vascular Diseases
- Cardiovascular Diseases
- Metabolic Diseases
- Glucose Metabolism Disorders
- Diabetic Angiopathies
- Diabetes Complications
- Skin Diseases
- Skin Ulcer
- Leg Ulcer
- Diabetic Neuropathies
- Foot Ulcer
- Nutritional and Metabolic Diseases
- Skin and Connective Tissue Diseases
- Diabetes Mellitus
- Infections
- Diabetic Foot
- Osteitis
Other Study ID Numbers
- NIMAO/2023-2/CM-01
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
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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