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Clinical Utility of PNA-FISH for Burn Wound Diagnostics: A Noninvasive, Culture-Independent Technique for Rapid Identification of Pathogenic Organisms in Burn Wounds

Weaver, Alan J, Brandenburg, Kenneth S, Sanjar, Fatemeh, Wells, Adrienne R, Peacock, Trent J, Leung, Kai P·2019·Journal of Burn Care & Research

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Figure 1. Validation of multiplexed PNA-FISH and CW on planktonic cell cultures. A. Tri-species planktonic cell cultures were stained to both validate the procedure and serve as controls for in vivo studies. The PNA-FISH probes showed specificity toward their respective bacteria. CW was specific to Candida albicans (blue); however, it also increased the fluorescence of the fungi in the green channel (arrowhead). B. Unstained monospecies cultures demonstrated faint autofluorescence of both Staphylococcus aureus and C. albicans in the green channel; however, no autofluorescence was seen from Pseudomonas aeruginosa in any channel. All images were taken with 63× objective.
Figure 1. Validation of multiplexed PNA-FISH and CW on planktonic cell cultures. A. Tri-species planktonic cell cultures were stained to both validate the procedure and serve as controls for in vivo studies. The PNA-FISH probes showed specificity toward their respective bacteria. CW was specific to Candida albicans (blue); however, it also increased the fluorescence of the fungi in the green channel (arrowhead). B. Unstained monospecies cultures demonstrated faint autofluorescence of both Staphylococcus aureus and C. albicans in the green channel; however, no autofluorescence was seen from Pseudomonas aeruginosa in any channel. All images were taken with 63× objective.CC BY-NC · PubMed Central
Figure 2. Pathogenic organisms identified from swabs of partial-thickness burn wounds. Each panel represents an individual channel and location for visualization of the microorganisms. Pseudomonas aeruginosa was clearly seen in the red channel as bright clusters of rods with minimal staining of the tissue debris. In the green channel, there were several clusters of Staphylococcus aureus that could be distinguished from the autofluorescent nature of the tissue debris. Tissue debris autofluorescence was also seen in the blue channel (not shown in panel), but Candida albicans was still clearly identifiable in both hyphae and bud form (inset, same scale). All images were taken with 63× objective. Single scale bar applies to all panels.
Figure 2. Pathogenic organisms identified from swabs of partial-thickness burn wounds. Each panel represents an individual channel and location for visualization of the microorganisms. Pseudomonas aeruginosa was clearly seen in the red channel as bright clusters of rods with minimal staining of the tissue debris. In the green channel, there were several clusters of Staphylococcus aureus that could be distinguished from the autofluorescent nature of the tissue debris. Tissue debris autofluorescence was also seen in the blue channel (not shown in panel), but Candida albicans was still clearly identifiable in both hyphae and bud form (inset, same scale). All images were taken with 63× objective. Single scale bar applies to all panels.CC BY-NC · PubMed Central
Figure 3. PNA-FISH and CW treatment of histological sections reveals pathogenic niches throughout the burn wound. Overlays of the blue channel with the red (A, B) and green (C, D) channels for unstained (A, C) and stained (B, D) tissue. Unstained sections showed autofluorescence in the red and green channels, as wells as voids that resembled Candida albicans (white arrowheads), which could be seen throughout the stained sections (yellow arrowheads). Red Pseudomonas aeruginosa rods (B, dagger) and green Staphylococcus aureus cocci (D, asterisk) were also seen intermingled with C. albicans. All images were taken with 63× objective.
Figure 3. PNA-FISH and CW treatment of histological sections reveals pathogenic niches throughout the burn wound. Overlays of the blue channel with the red (A, B) and green (C, D) channels for unstained (A, C) and stained (B, D) tissue. Unstained sections showed autofluorescence in the red and green channels, as wells as voids that resembled Candida albicans (white arrowheads), which could be seen throughout the stained sections (yellow arrowheads). Red Pseudomonas aeruginosa rods (B, dagger) and green Staphylococcus aureus cocci (D, asterisk) were also seen intermingled with C. albicans. All images were taken with 63× objective.CC BY-NC · PubMed Central

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Research works printed but not linked: 33

  1. Church, 2006, Burn wound infections, Clin Microbiol Rev, 19, 403, 10.1128/CMR.19.2.403-434.2006 · DOI
  2. Kennedy, 2010, Burns, biofilm and a new appraisal of burn wound sepsis, Burns, 36, 49, 10.1016/j.burns.2009.02.017 · DOI
  3. Nunez Lopez, 2017, Predicting and managing sepsis in burn patients: current perspectives, Ther Clin Risk Manag, 13, 1107, 10.2147/TCRM.S119938 · DOI
  4. Tredget, 2004, Pseudomonas infections in the thermally injured patient, Burns, 30, 3, 10.1016/j.burns.2003.08.007 · DOI
  5. Erol, 2014, The impact of copper-containing and levonorgestrel-releasing intrauterine contraceptives on cervicovaginal cytology and microbiological flora: a prospective study, Eur J Contracept Reprod Health Care, 19, 187, 10.3109/13625187.2014.900532 · DOI
  6. Santucci, 2003, Infections in a burn intensive care unit: experience of seven years, J Hosp Infect, 53, 6, 10.1053/jhin.2002.1340 · DOI
  7. Centers for Disease Control and Prevention, 2013, Antibiotic resistance threats in the United States, 2013
  8. Dowd, 2008, Survey of bacterial diversity in chronic wounds using Pyrosequencing, DGGE, and full ribosome shotgun sequencing, BMC Microbiol, 8, 43, 10.1186/1471-2180-8-43 · DOI
  9. Vila, 2017, Methods of rapid diagnosis in clinical microbiology: clinical needs, Enferm Infecc Microbiol Clin, 35, 41, 10.1016/j.eimc.2016.11.004 · DOI
  10. Harris, 2013, Rapid identification of bacteria and Candida using PNA-FISH from blood and peritoneal fluid cultures: a retrospective clinical study, Ann Clin Microbiol Antimicrob, 12, 2, 10.1186/1476-0711-12-2 · DOI
  11. Kumar, 2006, Duration of hypotension before initiation of effective antimicrobial therapy is the critical determinant of survival in human septic shock, Crit Care Med, 34, 1589, 10.1097/01.CCM.0000217961.75225.E9 · DOI · Paper page
  12. Stevenson, 2010, Rapid identification of bacteria in positive blood culture broths by matrix-assisted laser desorption ionization-time of flight mass spectrometry, J Clin Microbiol, 48, 444, 10.1128/JCM.01541-09 · DOI
  13. La Scola, 2009, Direct identification of bacteria in positive blood culture bottles by matrix-assisted laser desorption ionisation time-of-flight mass spectrometry, PLoS One, 4, e8041, 10.1371/journal.pone.0008041 · DOI
  14. Peters, 2004, New developments in the diagnosis of bloodstream infections, Lancet Infect Dis, 4, 751, 10.1016/S1473-3099(04)01205-8 · DOI
  15. Vaneechoutte, 1997, The possibilities and limitations of nucleic acid amplification technology in diagnostic microbiology, J Med Microbiol, 46, 188, 10.1099/00222615-46-3-188 · DOI
  16. Bauer, 2014, Review of rapid diagnostic tests used by antimicrobial stewardship programs, Clin Infect Dis, 59 Suppl 3, S134, 10.1093/cid/ciu547 · DOI
  17. Frickmann, 2017, Fluorescence in situ hybridization (FISH) in the microbiological diagnostic routine laboratory: a review, Crit Rev Microbiol, 43, 263, 10.3109/1040841X.2016.1169990 · DOI
  18. Søgaard, 2005, Direct identification of major blood culture pathogens, including Pseudomonas aeruginosa and Escherichia coli, by a panel of fluorescence in situ hybridization assays using peptide nucleic acid probes, J Clin Microbiol, 43, 1947, 10.1128/JCM.43.4.1947-1949.2005 · DOI
  19. Peleg, 2009, Utility of peptide nucleic acid fluorescence in situ hybridization for rapid detection of Acinetobacter spp. and Pseudomonas aeruginosa, J Clin Microbiol, 47, 830, 10.1128/JCM.01724-08 · DOI
  20. Rhoads, 2012, Comparison of culture and molecular identification of bacteria in chronic wounds, Int J Mol Sci, 13, 2535, 10.3390/ijms13032535 · DOI
  21. Rudkjøbing, 2012, The microorganisms in chronically infected end-stage and non-end-stage cystic fibrosis patients, FEMS Immunol Med Microbiol, 65, 236, 10.1111/j.1574-695X.2011.00925.x · DOI
  22. Werner, 2007, Detection of mutations conferring resistance to linezolid in Enterococcus spp. by fluorescence in situ hybridization, J Clin Microbiol, 45, 3421, 10.1128/JCM.00179-07 · DOI
  23. Petrich, 2015, Fluorescence in situ hybridization for the identification of Treponema pallidum in tissue sections, Int J Med Microbiol, 305, 709, 10.1016/j.ijmm.2015.08.022 · DOI
  24. Karna, 2016, Genome sequence of a virulent Pseudomonas aeruginosa strain, 12-4-4(59), isolated from the blood culture of a burn patient, Genome Announc, 4, e00079, 10.1128/genomeA.00079-16 · DOI
  25. Brandenburg, 2019, Development of Pseudomonas aeruginosa biofilms in partial-thickness burn wounds using a Sprague-Dawley rat model, J Burn Care Res, 40, 44, 10.1093/jbcr/iry043 · DOI
  26. Gilpin, 1996, Calculation of a new Meeh constant and experimental determination of burn size, Burns, 22, 607, 10.1016/S0305-4179(96)00064-2 · DOI
  27. Dow, 1999, Infection in chronic wounds: controversies in diagnosis and treatment, Ostomy Wound Manage, 45, 23
  28. Graus, 2017, Hyperspectral fluorescence microscopy detects autofluorescent factors that can be exploited as a diagnostic method for Candida species differentiation, J Biomed Opt, 22, 16002, 10.1117/1.JBO.22.1.016002 · DOI
  29. de Jong, 2017, Fluorescent reporters for markerless genomic integration in Staphylococcus aureus, Sci Rep, 7, 43889, 10.1038/srep43889 · DOI
  30. Lefmann, 2006, Evaluation of peptide nucleic acid-fluorescence in situ hybridization for identification of clinically relevant mycobacteria in clinical specimens and tissue sections, J Clin Microbiol, 44, 3760, 10.1128/JCM.01435-06 · DOI
  31. Kim, 2001, Non-disruptive PNA-FISH protocol for formalin-fixed and paraffin-embedded tissue sections, Biotechniques, 31, 472, 10.2144/01313bm03 · DOI
  32. Cerqueira, 2013, Validation of a fluorescence in situ hybridization method using peptide nucleic acid probes for detection of Helicobacter pylori clarithromycin resistance in gastric biopsy specimens, J Clin Microbiol, 51, 1887, 10.1128/JCM.00302-13 · DOI
  33. Rasconi, 2009, Use of calcofluor white for detection, identification, and quantification of phytoplanktonic fungal parasites, Appl Environ Microbiol, 75, 2545, 10.1128/AEM.02211-08 · DOI

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Metadata

Authors
Weaver, A. J., Brandenburg, K. S., Sanjar, F., Wells, A. R., Peacock, T. J., & Leung, K. P.
Venue
Journal of Burn Care & Research
Published
2019-03-20
Volume
40
Issue
4
Pages
464-470
ISSN
  • 1559-047X
  • 1559-0488
Cited by
12
References
0
Language
en
Funders
  • Intramural Program (G_001-2016-USAISR)
  • Combat Casualty Care Research Directorate
  • U.S. Army Medical Research and Materiel Command (MRMC), Naval Medical Research Center’s Advanced Medical Development Program (N3239815MHX040)
  • Oak Ridge Institute for Science and Education

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CoChat. (2026). Citation check: Clinical Utility of PNA-FISH for Burn Wound Diagnostics: A Noninvasive, Culture-Independent Technique for Rapid Identification of Pathogenic Organisms in Burn Wounds. https://app.cochat.ai/papers/10.1093/jbcr/irz047
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Weaver, A. J., Brandenburg, K. S., Sanjar, F., Wells, A. R., Peacock, T. J., & Leung, K. P. (2019). Clinical Utility of PNA-FISH for Burn Wound Diagnostics: A Noninvasive, Culture-Independent Technique for Rapid Identification of Pathogenic Organisms in Burn Wounds. Journal of Burn Care & Research. https://doi.org/10.1093/jbcr/irz047