Skip to main content

Advertisement

Log in

Biomarker in der Wundheilung und Wundbehandlung

Biomarkers in wound healing and treatment

  • Leitthema
  • Published:
Gefässchirurgie Aims and scope Submit manuscript

Zusammenfassung

Hintergrund

Diagnostische Optionen um das vorherrschende komplexe Milieu chronischer, schwer heilbarer Wunden zu analysieren und die Wundbehandlung zu steuern sind rar. Um moderne Therapieoptionen adäquat zu navigieren, sind Steuerparameter jedoch dringend nötig. Biomarker können hier ein „diagnostisches Fenster“ für die Zukunft der individualisierten, personalisierten Wundmedizin öffnen.

Ziel der Arbeit

Darstellung aktueller Erkenntnisse im Bereich der Biomarker-Entwicklung und Implementation in der Wundheilung und Wundbehandlung.

Material und Methoden

Eine ausführliche Literaturrecherche medizinischer Datenbanken (MEDLINE, EMBASE, Cochrane) wurde durchgeführt. Basierend auf der aktuellen Literatur werden potenzielle Biomarker in der Wundheilung und Wundbehandlung dargestellt, erläutert und bewertet. Des Weiteren wird ein Ausblick auf die zukünftige Entwicklung neuer Ansätze der Biomarker-Detektion gegeben.

Ergebnisse und Schlussfolgerungen

Insbesondere die Themen pH-Wert des Wundmilieus, Proteasen und das proteolytische Milieu der Wunde und die objektive Quantifizierung der mikrobiellen Belastung sowie Marker der Wundinfektion und chronischen Inflammation werden in der aktuellen Forschung bearbeitet. Erste vielversprechende Methoden, „Point-of-care“-Diagnostika und Ergebnisse zeigen das Potenzial der biomarkergesteuerten Wundmedizin auf. Moderne Ansätze wie die Analyse biomolekularer Signaturen via OMICS-Methoden können in Zukunft die Diagnostik und individualisierte Therapiesteuerung noch weiter objektivieren und zur Erzielung bessere Therapieerfolge beitragen.

Abstract

Background

Diagnostic options to analyze the prevailing complex microenvironment of chronic difficult to heal wounds and to guide wound treatment are rare; however, monitoring and steering parameters are urgently needed to adequately navigate modern therapeutic options. Biomarkers can open a diagnostic window for the future of individualized, personalized wound medicine.

Objective

Presentation of current findings in the fields of biomarker development and implementation in wound healing and wound treatment.

Material and methods

An extensive literature search of medical databases (MEDLINE, EMBASE, Cochrane) was performed. Based on the current literature, potential biomarkers in wound healing and wound care are presented, explained and evaluated. Furthermore, an outlook on the future development of new approaches of biomarker detection is given.

Results and conclusion

In particular, the topics of the wound microenvironment pH, proteases and the proteolytic environment of the wound, the objective quantification of microbial burden as well as markers of wound infection and chronic inflammation are addressed in the current research. First promising methods, point of care diagnostics and results show the potential of biomarker-driven wound medicine. Modern approaches, such as the analysis of biomolecular signatures via omics methodology can further objectify diagnostics and individualized treatment management in the future and contribute to the achievement of better therapeutic results.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Abb. 1
Abb. 2
Abb. 3

Literatur

  1. (Iwii) IWII (2022) Wound infection in clinical practice 2022. Wounds International

    Google Scholar 

  2. Armstrong GD, Bauer K, Bohn G, Carter M, Snyder R, Serena TE (2021) Principles of best diagnostic practice in tissue repair and wound healing: an expert consensus. Diagnostics 11(1):50. https://doi.org/10.3390/diagnostics11010050

  3. Dai X, Shen L (2022) Advances and trends in omics technology development. Front Med (Lausanne) 9:911861

    Article  Google Scholar 

  4. Demidova-Rice TN, Hamblin MR, Herman IM (2012) Acute and impaired wound healing: Pathophysiology and current methods for drug delivery, Part 1: Normal and chronic wounds: biology, causes, and approaches to care. Adv Skin Wound Care 25:304–314

    Article  Google Scholar 

  5. Derwin R, Patton D, Avsar P et al (2022) The impact of topical agents and dressing on pH and temperature on wound healing: A systematic, narrative review. Int Wound J 19:1397–1408

    Article  Google Scholar 

  6. Duffy MJ (2020) Biomarkers for prostate cancer: prostate-specific antigen and beyond. Clin Chem Lab Med 58:326–339

    Article  CAS  Google Scholar 

  7. Frykberg RG, Banks J (2015) Challenges in the treatment of chronic wounds. Adv Wound Care (New Rochelle) 4:560–582

    Article  Google Scholar 

  8. Gao X, Petricoin EF 3rd, Ward KR et al (2018) Network proteomics of human dermal wound healing. Physiol Meas 39:124002

    Article  Google Scholar 

  9. Goetz LH, Schork NJ (2018) Personalized medicine: Motivation, challenges, and progress. Fertil Steril 109:952–963

    Article  Google Scholar 

  10. Harvey J, Mellody KT, Cullum N et al (2022) Wound fluid sampling methods for proteomic studies: A scoping review. Wound Repair Regen 30:317–333

    Article  Google Scholar 

  11. Jankowska D, Bannwarth M, Schulenburg C et al (2017) Simultaneous detection of pH value and glucose concentrations for wound monitoring applications. Biosens Bioelectron 87:312–319

    Article  CAS  Google Scholar 

  12. Krishnaswamy VR, Mintz D, Sagi I (2017) Matrix metalloproteinases: The sculptors of chronic cutaneous wounds. Biochim Biophys Acta 1864:2220–2227

    Article  CAS  Google Scholar 

  13. Le L, Baer M, Briggs P et al (2021) Diagnostic accuracy of point-of-care fluorescence imaging for the detection of bacterial burden in wounds: Results from the 350-patient fluorescence imaging assessment and guidance trial. Adv Wound Care 10:123–136

    Article  Google Scholar 

  14. Lindley LE, Stojadinovic O, Pastar I et al (2016) Biology and biomarkers for wound healing. Plast Reconstr Surg 138:18S–28S

    Article  CAS  Google Scholar 

  15. Liu Y, Min D, Bolton T et al (2009) Increased matrix metalloproteinase‑9 predicts poor wound healing in diabetic foot ulcers. Diabetes Care 32:117–119

    Article  CAS  Google Scholar 

  16. Luanraksa S, Jindatanmanusan P, Boonsiri T et al (2018) An MMP/TIMP ratio scoring system as a potential predictive marker of diabetic foot ulcer healing. J Wound Care 27:849–855

    Article  Google Scholar 

  17. Mannello F, Ligi D, Canale M et al (2014) Omics profiles in chronic venous ulcer wound fluid: innovative applications for translational medicine. Expert Rev Mol Diagn 14:737–762

    Article  CAS  Google Scholar 

  18. Mccarty SM, Percival SL (2013) Proteases and delayed wound healing. Adv Wound Care 2:438–447

    Article  Google Scholar 

  19. Metcalf DG, Haalboom M, Bowler PG et al (2019) Elevated wound fluid pH correlates with increased risk of wound infection. Wound Med 26:100166

    Article  Google Scholar 

  20. Moelleken M, Jockenhofer F, Benson S et al (2020) Prospective clinical study on the efficacy of bacterial removal with mechanical debridement in and around chronic leg ulcers assessed with fluorescence imaging. Int Wound J 17:1011–1018

    Article  Google Scholar 

  21. Muller M, Trocme C, Lardy B et al (2008) Matrix metalloproteinases and diabetic foot ulcers: the ratio of MMP‑1 to TIMP‑1 is a predictor of wound healing. Diabet Med 25:419–426

    Article  CAS  Google Scholar 

  22. Ono S, Imai R, Ida Y et al (2015) Increased wound pH as an indicator of local wound infection in second degree burns. Burns 41:820–824

    Article  Google Scholar 

  23. Percival SL, Mccarty S, Hunt JA et al (2014) The effects of pH on wound healing, biofilms, and antimicrobial efficacy. Wound Repair Regen 22:174–186

    Article  Google Scholar 

  24. Strohal R, Hastermann G, Herberger K, Läuchli S, Luch G, Mayer D, Neubert T, Storck M (2012) Die Rolle eines Proteasen Schnelltests in der Wunddiagnostik. Wundmanagement, März 2012:2–12

  25. Rennie MY, Dunham D, Lindvere-Teene L et al (2019) Understanding real-time fluorescence signals from bacteria and wound tissues observed with the MolecuLight i:X(TM). Diagnostics (Basel) 9(1):22

    Article  CAS  Google Scholar 

  26. Rennie MY, Lindvere-Teene L, Tapang K et al (2017) Point-of-care fluorescence imaging predicts the presence of pathogenic bacteria in wounds: a clinical study. J Wound Care 26:452–460

    Article  CAS  Google Scholar 

  27. Schmohl M, Beckert S, Joos TO et al (2012) Superficial wound swabbing: a novel method of sampling and processing wound fluid for subsequent immunoassay analysis in diabetic foot ulcerations. Diabetes Care 35:2113–2120

    Article  CAS  Google Scholar 

  28. Schultz G, Bjarnsholt T, James GA et al (2017) Consensus guidelines for the identification and treatment of biofilms in chronic nonhealing wounds. Wound Repair Regen 25:744–757

    Article  Google Scholar 

  29. Serena TE, Bayliff SW, Brosnan PJ et al (2021) Bacterial protease activity as a biomarker to assess the risk of non-healing in chronic wounds: Results from a multicentre randomised controlled clinical trial. Wound Repair Regen 29:752–758

    Article  Google Scholar 

  30. Serena TE, Harrell K, Serena L et al (2019) Real-time bacterial fluorescence imaging accurately identifies wounds with moderate-to-heavy bacterial burden. J Wound Care 28:346–357

    Article  Google Scholar 

  31. Sim P, Strudwick XL, Song Y et al (2022) Influence of acidic pH on wound healing in vivo: A novel perspective for wound treatment. Int J Mol Sci 23(21):13655

    Article  CAS  Google Scholar 

  32. Somvanshi PR, Venkatesh KV (2014) A conceptual review on systems biology in health and diseases: from biological networks to modern therapeutics. Syst Synth Biol 8:99–116

    Article  Google Scholar 

  33. Stacey MC, Phillips SA, Farrokhyar F et al (2019) Evaluation of wound fluid biomarkers to determine healing in adults with venous leg ulcers: A prospective study. Wound Repair Regen 27:509–518

    Article  Google Scholar 

  34. Tiernan JP, Perry SL, Verghese ET et al (2013) Carcinoembryonic antigen is the preferred biomarker for in vivo colorectal cancer targeting. Br J Cancer 108:662–667

    Article  CAS  Google Scholar 

  35. Walsh MF, Nathanson KL, Couch FJ et al (2016) Genomic biomarkers for breast cancer risk. Adv Exp Med Biol 882:1–32

    Article  CAS  Google Scholar 

  36. Weigelt MA, Lev-Tov HA, Tomic-Canic M et al (2022) Advanced wound diagnostics: Toward transforming wound care into precision medicine. Adv Wound Care 11:330–359

    Article  Google Scholar 

  37. Westby MJ, Norman G, Watson REB et al (2020) Protease activity as a prognostic factor for wound healing in complex wounds. Wound Repair Regen 28:631–644

    Article  Google Scholar 

  38. Wolters K, Garabet W, Makosch M et al (2022) Hyperspektrale Bildgebung in der Wund- und Gefäßmedizin als neue diagnostische Dimension: Technische Grundlagen und medizinische Anwendung – Teil 2. Gefässchirurgie 27:46–50

    Article  Google Scholar 

  39. Zhao R, Liang H, Clarke E et al (2016) Inflammation in chronic wounds. Int J Mol Sci 17(12):2085

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Julian-Dario Rembe.

Ethics declarations

Interessenkonflikt

J.-D. Rembe und E.K. Stürmer geben an, dass kein Interessenkonflikt besteht.

Für diesen Beitrag wurden von den Autor/-innen keine Studien an Menschen oder Tieren durchgeführt. Für die aufgeführten Studien gelten die jeweils dort angegebenen ethischen Richtlinien.

Additional information

figure qr

QR-Code scannen & Beitrag online lesen

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Rembe, JD., Stürmer, E.K. Biomarker in der Wundheilung und Wundbehandlung. Gefässchirurgie 28, 15–23 (2023). https://doi.org/10.1007/s00772-022-00968-0

Download citation

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00772-022-00968-0

Schlüsselwörter

Keywords

Navigation