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Researchers investigate how biofilm infections affect wound healing using ZEISS Axioscan for whole slide imaging. Findings reveal biofilm-induced degradation of collagen, impacting tissue repair and leading to chronic wounds.

Unraveling Biofilm's Role in Delayed Wound Healing

Key Takeaways

  • Research focus: Investigate biofilm properties affecting wound healing.
  • Model system: Porcine biofilm infection wound model.
  • Research goal: Understand biofilm's role in collagen degradation.
  • Presented by: Dr. Chandan K. Sen, Indiana University School of Medicine.
  • Content type: Scientific article on wound healing study.
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1 min read
The Link Between Biofilm Infections and Wound Healing Investigated with Whole Slide Imaging

Researchers use automated whole slide imaging to link biofilm properties of bacterial infection to specific pathogenic mechanisms in wound healing.

Bacteria can form biofilms, multicellular communities which are held together by a self-produced extracellular matrix. A growing body of evidence establishes biofilm infection as a major cause of delayed wound healing and non-healing chronic wounds. However, it is unclear how biofilms interfere with wound healing.

Dr. Chandan K. Sen, Associate Vice President of Military & Applied Research, at the Indiana University School of Medicine, USA, has published work linking biofilm properties of bacterial infection to specific pathogenic mechanisms in wound healing. One of the techniques used in their research is automated whole slide imaging.

While Dr. Sen's team is actively pursuing discoveries in many areas, his primary interests are tissue injury, repair, regeneration and infection. Previously, his lab has developed a preclinical, porcine biofilm infection wound model. Now, they utilize this wound model with bacterial strains with biofilm-forming abilities to better understand biofilm-dependent mechanisms of action in healing wounds.

Their findings show a biofilm-induced degradation of cutaneous collagen, specifically collagen 1. Collagen 1 is a major structural protein of the extracellular matrix (ECM), and, in wounds, causes poor tensile strength in the repaired skin. This supports the notion that healed wounds with a history of biofilm infection are likely to recur. Automated whole slide imaging with ZEISS Axioscan was instrumental to their findings.

  • Hematoxylin and eosin-stained whole mount cross sections of infected porcine burn wounds showing re-epithelialization. Overview image is lower right. Imaged with ZEISS Axioscan. Hematoxylin and eosin-stained whole mount cross sections of infected porcine burn wounds showing re-epithelialization. Overview image is lower right. Imaged with ZEISS Axioscan.
    Hematoxylin and eosin-stained whole mount cross sections of infected porcine burn wounds showing re-epithelialization. Overview image is lower right. Imaged with ZEISS Axioscan.
  • Masson’s trichrome staining of whole mount cross sections of infected porcine burn wounds. Staining results in blue-black nuclei, blue collagen, and light pink/red cytoplasm. Epidermal cells appear reddish. Imaged with ZEISS Axioscan digital slide scanner. Masson’s trichrome staining of whole mount cross sections of infected porcine burn wounds. Staining results in blue-black nuclei, blue collagen, and light pink/red cytoplasm. Epidermal cells appear reddish. Imaged with ZEISS Axioscan digital slide scanner.
    Masson’s trichrome staining of whole mount cross sections of infected porcine burn wounds. Staining results in blue-black nuclei, blue collagen, and light pink/red cytoplasm. Epidermal cells appear reddish. Imaged with ZEISS Axioscan digital slide scanner.
  • Biofilm infected porcine burn wound stained for collagen (green) and nuclei (DAPI/blue). Images collected with ZEISS Axioscan digital slide scanner.
    Biofilm infected porcine burn wound stained for collagen (green) and nuclei (DAPI/blue). Images collected with ZEISS Axioscan digital slide scanner.
    https://www.zeiss.com/microscopy/en/resources/insights-hub/life-sciences/biofilm-infections-and-whole-slide-imaging.html
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