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BMJ (Clinical Research Ed.) Jul 1988
Topics: Bacterial Infections; Cataract Extraction; Endophthalmitis; Humans; Propionibacterium acnes
PubMed: 3261615
DOI: 10.1136/bmj.297.6642.201-d -
Acta Dermato-venereologica Sep 2014Increasing antibiotic resistance in the population of Propionibacterium acnes is a major concern. Our aims were to examine the clonal relationships and anatomical...
Increasing antibiotic resistance in the population of Propionibacterium acnes is a major concern. Our aims were to examine the clonal relationships and anatomical distribution of resistant and sensitive P. acnes. A collection of 350 P. acnes isolates was therefore used to determine the minimum inhibitory concentration of tetracycline, erythro-mycin and clindamycin, multilocus sequence type, and the identity of genetic resistance markers. Two hitherto unknown resistance mutations were detected. Resistant P. acnes mainly belonged to clonal clusters in division I-1a frequently isolated from skin and associated with moderate to severe acne. All high-level tetracycline resistant strains were members of a single clone. Multiple isolates from distinct anatomic areas of surface skin and follicles of 2 acne patients revealed substantial clonal diversity between areas and co-existence of resistant and sensitive clones. Fifty-two percent of Danish acne patients and 43% of controls carried at least one resistant P. acnes strain, resistance to clindamycin being most frequent followed by tetracycline and erythromycin. Resistance to tetracycline was detected exclusively among isolates from acne patients. In conclusion, antibiotic resistance is associated with particular evolutionary clades of P. acnes and a substantial part is due to a single geographically widespread clone (ST3). Individuals carry a strikingly complex population of P. acnes with distinct virulence potential and antibiotic resistance.
Topics: Acne Vulgaris; Anti-Bacterial Agents; Case-Control Studies; Denmark; Drug Resistance, Multiple, Bacterial; Gram-Positive Bacterial Infections; Humans; Propionibacterium acnes
PubMed: 24577497
DOI: 10.2340/00015555-1794 -
BioMed Research International 2013We previously developed and validated a vortexing-sonication technique for detection of biofilm bacteria on the surface of explanted prosthetic joints. Herein, we...
We previously developed and validated a vortexing-sonication technique for detection of biofilm bacteria on the surface of explanted prosthetic joints. Herein, we evaluated this technique for diagnosis of infected breast tissue expanders and used it to assess colonization of breast tissue expanders. From April 2008 to December 2011, we studied 328 breast tissue expanders at Mayo Clinic, Rochester, MN, USA. Of seven clinically infected breast tissue expanders, six (85.7%) had positive cultures, one of which grew Propionibacterium species. Fifty-two of 321 breast tissue expanders (16.2%, 95% CI, 12.3-20.7%) without clinical evidence of infection also had positive cultures, 45 growing Propionibacterium species and ten coagulase-negative staphylococci. While vortexing-sonication can detect clinically infected breast tissue expanders, 16 percent of breast tissue expanders appear to be asymptomatically colonized with normal skin flora, most commonly, Propionibacterium species.
Topics: Biofilms; Breast; Breast Implants; Female; Humans; Propionibacterium; Sonication; Tissue Expansion Devices
PubMed: 23956974
DOI: 10.1155/2013/254940 -
PloS One 2019Androgenetic alopecia is the most common form of hair loss in males. It is a multifactorial condition involving genetic predisposition and hormonal changes. The role of...
Androgenetic alopecia is the most common form of hair loss in males. It is a multifactorial condition involving genetic predisposition and hormonal changes. The role of microflora during hair loss remains to be understood. We therefore analyzed the microbiome of hair follicles from hair loss patients and the healthy. Hair follicles were extracted from occipital and vertex region of hair loss patients and healthy volunteers and further dissected into middle and lower compartments. The microbiome was then characterized by 16S rRNA sequencing. Distinct microbial population were found in the middle and lower compartment of hair follicles. Middle hair compartment was predominated by Burkholderia spp. and less diverse; while higher bacterial diversity was observed in the lower hair portion. Occipital and vertex hair follicles did not show significant differences. In hair loss patients, miniaturized vertex hair houses elevated Propionibacterium acnes in the middle and lower compartments while non-miniaturized hair of other regions were comparable to the healthy. Increased abundance of P. acnes in miniaturized hair follicles could be associated to elevated immune response gene expression in the hair follicle.
Topics: Alopecia; Burkholderia; Female; Hair Follicle; Humans; Immunity; Male; Microbiota; Propionibacterium; RNA, Ribosomal, 16S
PubMed: 31050675
DOI: 10.1371/journal.pone.0216330 -
Science Translational Medicine May 2017The microorganisms that inhabit hospitals may influence patient recovery and outcome, although the complexity and diversity of these bacterial communities can confound...
The microorganisms that inhabit hospitals may influence patient recovery and outcome, although the complexity and diversity of these bacterial communities can confound our ability to focus on potential pathogens in isolation. To develop a community-level understanding of how microorganisms colonize and move through the hospital environment, we characterized the bacterial dynamics among hospital surfaces, patients, and staff over the course of 1 year as a new hospital became operational. The bacteria in patient rooms, particularly on bedrails, consistently resembled the skin microbiota of the patient occupying the room. Bacterial communities on patients and room surfaces became increasingly similar over the course of a patient's stay. Temporal correlations in community structure demonstrated that patients initially acquired room-associated taxa that predated their stay but that their own microbial signatures began to influence the room community structure over time. The α- and β-diversity of patient skin samples were only weakly or nonsignificantly associated with clinical factors such as chemotherapy, antibiotic usage, and surgical recovery, and no factor except for ambulatory status affected microbial similarity between the microbiotas of a patient and their room. Metagenomic analyses revealed that genes conferring antimicrobial resistance were consistently more abundant on room surfaces than on the skin of the patients inhabiting those rooms. In addition, persistent unique genotypes of and were identified. Dynamic Bayesian network analysis suggested that hospital staff were more likely to be a source of bacteria on the skin of patients than the reverse but that there were no universal patterns of transmission across patient rooms.
Topics: Bacteria; Bayes Theorem; Hospitals; Humans; Microbiota; Propionibacterium; Staphylococcus
PubMed: 28539477
DOI: 10.1126/scitranslmed.aah6500 -
Journal of Clinical Microbiology Dec 1977The production of chondroitin sulfatase, hyaluronidase, deoxyribonuclease, gelatinase, phosphatase, lecithinase, and hemolysins was examined in 95 strains of... (Comparative Study)
Comparative Study
The production of chondroitin sulfatase, hyaluronidase, deoxyribonuclease, gelatinase, phosphatase, lecithinase, and hemolysins was examined in 95 strains of Propionibacterium acnes and four related species of anaerobic, respectively, microaerophilic coryneform bacteria (P. avidum, P. lymphophilum, P. granulosum, and Corynebacterium minutissimum). All enzymes could be demonstrated in at least one representative of the species tested. Those Propionibacterium species most frequently found in acne vulgaris lesions, i.e., P. acnes and P. granulosum, proved to be the most active organisms concerning the production of the enzymes tested. P. avidum, on the other hand, showed the highest rate of hemolytic activity.
Topics: Chondroitinsulfatases; Deoxyribonucleases; Hemolysis; Hydrolases; Phospholipases; Phosphoric Monoester Hydrolases; Propionibacterium acnes; Species Specificity
PubMed: 201661
DOI: 10.1128/jcm.6.6.555-558.1977 -
Photodiagnosis and Photodynamic Therapy Sep 2021Skin is the first line of defense against harmful external environmental factors. Skin flora living on the skin surface impact skin health and skin disease. Bacteria,...
BACKGROUND
Skin is the first line of defense against harmful external environmental factors. Skin flora living on the skin surface impact skin health and skin disease. Bacteria, form part of the unique and complex skin micro-ecological system. For example, Propionibacterium acnes (P. acnes) is a member of the anaerobic organisms and is involved in the induction of skin acne. It produces porphyrins that absorb ultraviolet light and emit red fluorescence in response. As a result, fluorescence surveillance of the skin can be important in both the diagnosis of skin acne and the evaluation of therapeutic effects. Many different measurement methods for single skin biophysical properties have been reported.. This study focused on the age-dependent changes in porphyrins for normal skin, and developed a novel algorithm to evaluate porphyrins using the fluorescence images by image processing quantitatively.
MATERIALS AND METHODS
An extraction algorithm was proposed for the segmentation of porphyrin fluorescence images in OpenCV. The algorithm consisted primarily of preprocessing, conversion from RGB color space to HSV color space, and classification of fluorescence. There are 3595 healthy Japanese aged 16-85 years enrolled in the study and fluorescence images were acquired from their cheek sites under 375 nm UV-LED excitation. Age-related fluorescence variation was conducted applying the algorithm implemented.
RESULTS
A new extraction algorithm has been proposed with fluorescence image input and three indexes output, including the number of fluorescence, area of fluorescence, and mean intensity of fluorescence. Proposed algorithm was verified by three parameters, the accuracy, sensitivity, and precision, which refer to the ability of algorithm to detect the number of fluorescence correctly and repeatedly. The verification results were 71%, 72%, and 88% respectively, taking a validly fundamental step for skin health record and analysis. Furthermore, large-scale fluorescence image segmentation results revealed that similar trends were coming out for all three indexes in cheek as people get older. All the fluorescence number, area and mean intensity arrived at the highest at 30 years old and fell off since then.
CONCLUSION
The number, area, and fluorescence intensity of porphyrins can be extracted well from fluorescence images with the proposed algorithm in the study, which has the potential to aid in thediagnosis of skin acne and predict skin conditions as an assisted tool. It is implicated that fluorescence status is influenced by age, which rises to the peak around 30 years old for normal cheek's skin.
Topics: Adult; Algorithms; Humans; Photochemotherapy; Photography; Photosensitizing Agents; Porphyrins; Propionibacterium acnes
PubMed: 34129959
DOI: 10.1016/j.pdpdt.2021.102388 -
Journal of Clinical Microbiology Feb 1980Botryomycosis ofthe liver developed in a patient receiving corticosteroid therapy. The botyromycosis was caused by Propionibacterium acnes, which grew only...
Botryomycosis ofthe liver developed in a patient receiving corticosteroid therapy. The botyromycosis was caused by Propionibacterium acnes, which grew only anaerobically. The patient was successfully treated medically and at followup is asymptomatic.
Topics: Anaerobiosis; Bacterial Infections; Female; Humans; Liver Diseases; Middle Aged; Penicillin G; Propionibacterium acnes
PubMed: 7358842
DOI: 10.1128/jcm.11.2.184-185.1980 -
PloS One 2020Profiling skin microbiome and metabolome has been utilised to gain further insight into wound healing processes. The aims of this multi-part temporal study in 11...
Profiling skin microbiome and metabolome has been utilised to gain further insight into wound healing processes. The aims of this multi-part temporal study in 11 volunteers were to analytically profile the dynamic wound tissue and headspace metabolome and sequence microbial communities in acute wound healing at days 0, 7, 14, 21 and 28, and to investigate their relationship to wound healing, using non-invasive quantitative devices. Metabolites were obtained using tissue extraction, sorbent and polydimethylsiloxane patches and analysed using GCMS. PCA of wound tissue metabolome clearly separated time points with 10 metabolites of 346 being involved in separation. Analysis of variance-simultaneous component analysis identified a statistical difference between the wound headspace metabolome, sites (P = 0.0024) and time points (P<0.0001), with 10 out of the 129 metabolites measured involved with this separation between sites and time points. A reciprocal relationship between Staphylococcus spp. and Propionibacterium spp. was observed at day 21 (P<0.05) with a statistical correlation between collagen and Propionibacterium (r = 0.417; P = 0.038) and Staphylococcus (r = -0.434; P = 0.03). Procrustes analysis showed a statistically significant similarity between wound headspace and tissue metabolome with non-invasive wound devices. This exploratory study demonstrates the temporal and dynamic nature of acute wound metabolome and microbiome presenting a novel class of biomarkers that correspond to wound healing, with further confirmatory studies now necessary.
Topics: Adult; Collagen; Female; Humans; Male; Metabolome; Metabolomics; Microbiota; Middle Aged; Principal Component Analysis; Propionibacterium; Skin; Staphylococcus; Time Factors; Wound Healing; Young Adult
PubMed: 32106276
DOI: 10.1371/journal.pone.0229545 -
PloS One 2018Cutibacterium (Propionibacterium) acnes, considered a part of the skin microbiota, is one of the most commonly isolated anaerobic bacteria from medical implants in...
Cutibacterium (Propionibacterium) acnes, considered a part of the skin microbiota, is one of the most commonly isolated anaerobic bacteria from medical implants in contact with plasma. However, the precise interaction of C. acnes with blood cells and plasma proteins has not been fully elucidated. Herein, we have investigated the molecular interaction of C. acnes with platelets and plasma proteins. We report that the ability of C. acnes to aggregate platelets is dependent on phylotype, with a significantly lower ability amongst type IB isolates, and the interaction of specific donor-dependent plasma proteins (or concentrations thereof) with C. acnes. Pretreatment of C. acnes with plasma reduces the lag time before aggregation demonstrating that pre-deposition of plasma proteins on C. acnes is an important step in platelet aggregation. Using mass spectrometry we identified several plasma proteins deposited on C. acnes, including IgG, fibrinogen and complement factors. Inhibition of IgG, fibrinogen or complement decreased C. acnes-mediated platelet aggregation, demonstrating the importance of these plasma proteins for aggregation. The interaction of C. acnes and platelets was visualized using fluorescence microscopy, verifying the presence of IgG and fibrinogen as components of the aggregates, and co-localization of C. acnes and platelets in the aggregates. Here, we have demonstrated the ability of C. acnes to activate and aggregate platelets in a bacterium and donor-specific fashion, as well as added mechanistic insights into this interaction.
Topics: Blood Proteins; Humans; Mass Spectrometry; Microscopy, Fluorescence; Platelet Activation; Platelet Aggregation; Propionibacterium acnes
PubMed: 29385206
DOI: 10.1371/journal.pone.0192051