Добавил:
kiopkiopkiop18@yandex.ru t.me/Prokururor I Вовсе не секретарь, но почту проверяю Опубликованный материал нарушает ваши авторские права? Сообщите нам.
Вуз: Предмет: Файл:

Ординатура / Хирургия / @xirurgi_2025 / @xirurgi_2025 - 997 - файл

.pdf
Скачиваний:
0
Добавлен:
29.08.2026
Размер:
6 Мб
Скачать
Biofilms and Impaired Wound Healing 217
The feasibility of some of the detection methods presented here might prove impractical as they require large and expensive equipment, which can only be operated by specially trained personnel. To expect this to occur at any common hospital is unrealistic, so using detection methods which utilize equipment that is already present, such as ultrasound devices or PET imagers, is more likely to become widespread.
Alternatively, cheap and easily created equipment such as paper-based sensors might be more viable for use everywhere. Simple diagnostic tools such as thermometers and litmus paper for measuring wound temperature and alkalinity should also be encouraged as these might help to show early signs of infection.
Many sensor-based detection methods including several imaging techniques have limitations with respect to detecting very small biolms. Yet this is an important feature, as wound aggregates may only be a few micrometres across in diameter (Bjarnsholt et al. 2013). The volume-sensitivity of detection techniques and the spatial resolution of imaging techniques limits their use to detect small aggregat
es. T
his issue extends into our next discussion point: even small amounts of bacteria can lead to an infection. This is particularly true in patients who are already immunocompromised or suffer from poor vascularisation and therefore, tissue oxygenation, as is often the case of chronic wound patients (Sen 2019). D
n methods that rely on large quantities of bacteria, or the by-product of
etectio large microbial masses, including QS controlled secretions, might fail to diagnose infections in their early stages. Many detection methods rely on the EPS products of biolms, yet actual investigations of EPS components in vivo are incredibly scarce. Some studies have used imaging techniques to show the presence of EPS and certain EPS compounds in wound samples, but no large studies have been per­formed which have analysed the EPS components of chronic wound biolms (Johani et al. 2017; Neut et al. 2011; Oates et al. 2014). Hence, we need to be careful when making assumptions about chronic wounds based on data obtained from in vitro experiments. EPS components produced in abundance in vitro might not be found to the same extent in vivo. There is an ongoing search for universal biolm markers, yet such markers might not exist, as we have modestly suggested here.
It is often cited that only chronic wounds contain biolms while acute wounds
do not (Attinger and Wolcott 2012)
et, newer studies show that this assumption
. Y might not be true. In 2018, Bay et al. found biolm formations in 67% of acute wounds (Bay et al. 2018), while Schaber et al. (2007) found biolm formations in 91% of acute wounds in an animal model, and a recent study by Kolpen et al., that compared single cells in all samples (Kolpen et al. 2022
chronic and acute lung infections, found both biolm aggregates and
Based on their nding, Kolpen et al.
). analysed the growth rates of the aggregates and found that the aggregates isolated from acute lung infections had a higher metabolism than the ones from chronic infections. This nding may cultivate speculations about whether it is not the presence of a biolm, but rather the growth rate of the bacteria in the biolm, which causes the main differences between acute and chronic infections. If this is the case, detection methods that infer details in regards to the metabolic status of the
218 I. C. Thaarup and T. Bjarnsholt
Данная книга находится в списке для перевода на русский язык сайта https://meduniver.com/
surveyed microbes might prove more valuable than initially thought. Further speculations can be made in regards to the microenvironment of the wound infection, as it is not yet known whether the presence of a biolm leads to an unfavourable wound microenvironment or if the unfavourable wound microenvi­ronment promotes the establishment of said biolm. Hence, detection methods that continuously survey the microenvironmental conditions of the wound, (e.g. tem-
ure, oxygenation and pH) could help prevent the early establishment of an
t
pera infection, if these conditions are corrected in a timely manner.
Several of the detection methods presented here specializes in the detection of a single species. Pyocyanin and pyoverdine, which are detected in the methods presented by Simoska et al. (2020)
, Jarosova et al. (2019) and Raizman et al. (2021), are only produced by P. aeruginosa. The detection method presented by Gao et al. (2021) contained an aptamer specictoS. aureus and the method in Roy et al. (2021) used an S. a
ureus specic DNA probe. Arguments can be made that the detection of these two species is highly relevant, as their presence in chronic wounds has previously been linked to a worse healing outcome and even wound enlargement (Madsen et al. 1996;Gjødsbøl et al. 2006; Kalan et al. in press). Yet, their absence does not automatically result in a positive healing outcome, as other species have been found to dominate in some chronic ulcers (Redkar et al. 2000). Hence, detection met hods which solely look for a single species, or a certain range of species, must be supplemented with a different detection method in case of a negative result. Yet, specic pathogen identication has its value, especially when a medical physician needs to choose a suitable antibiotic for treatment. The identi­cation of certain resistance genes is also very relevant in this regard, and conse­quently, molecular techniques, which are already used today, are still incredibly valuable. The same holds true for transcriptional proles, as they might make implications in regards to the metabolic status of the infectious pathogens. It has previously been shown how certain antibiotics may have a limited effect on metabolically inactive microbes, thus knowing the activity status of the infectious microbes might be equally relevant to the treating physician (Liu et al. 2020). Some studies make distinctions between commensals and pathogens, yet this distinction seems dangerous when it is known that commensals in a new environment may act unpredictably (Otto 2009). This is particularly important to consider when using detection methods that rely on the production of toxins, as toxin production is not a guarantee in all infections.
In conclusion, when a patient develops a chronic wound it should be investigated using a well-rounded, holistic approach which includes immune cell signals, microenvironmental factors such as pH, temperature and oxygenation, but also various microbial factors such as species, microbial amount, EPS components, metabolic rates, toxins, transcriptomes and resistance proles. A single detection method can not be expected to full all these requirements, hence the development of a range of different detection methods with different angles, based on a variety of biological markers is likely to be highly benecial, though it may be costly and complicated. More importantly, before we continue the development of different detection methods, it would be more useful to rst expand on our knowledge in
Biofilms and Impaired Wound Healing 219
regards to the chronic wound microbiome. Once we understand the role of both biolms and single cells in the wound, and once we have established the presence and function of various EPS components, and determined how and if these com­ponents affect the healing process, we can then turn to develop adequate methods to help us detect the most important factors for woun d healing. Improved under­standing of microbial infections in chronic wounds is essential.
References
Allen DB, Maguire JJ, Mahdavian M, Wicke C, Marcocci L, Scheuenstuhl H, et al. Wound
hypoxia and acidosis limit neutrophil bacterial killing mechanisms. Arch Surg. 1997;132:991.
https://doi.org/10.1001/archsurg.1997.01430330057009.
Anastasiadis
biolms combining
J Nanobiotechnol. 2014;12:1–11. https://doi.org/10.1186/1477-3155-12-24. Armstrong DG, Lipsky BA, Polis AB, Abramson MA. Does dermal thermometry predict
outcome in diabetic foot infection? Analysis of data from the SIDESTEP* trial. Int Wound J.
2006;3:302–7. https://doi.org/10.1111/j.1742-481X.2006.00269.x. Ashley BK, Brown MS, Park Y, Kuan S, Koh A. Skin-inspired, open mesh electrochemical
sensors for lactate and oxygen monitoring. Biosens Bioelectron. 2019;132:343–51. https://doi.
org/10.1016/j.bios.2019.02.041.
AshraM, Novak-Frazer L, Bates M, Baguneid M, Alonso-Rasgado T, Xia G, et al. Validation of
biolm formation on human skin wound models and demonstration of clinically translatable
bacteria-specic volatile signatures. Sci Rep. 2018;8:1–16. https://doi.org/10.1038/s41598-
018-27504-z.
Aslim B, Beyatli Y, Yuksekdag ZN. Productions and monomer compositions of exopolysaccha-
rides by Lactobacillus delbrueckii subsp. bulgaricus and Streptococcus thermophilus strains
isolated from traditional home-made yoghurts and raw milk. Int J Food Sci Technol.
2006;41:973–9. https://doi.org/10.1111/j.1365-2621.2005.01155.x. Attinger C, Wolcott R. Clinically addressing biolm in chronic wounds. Adv Wound Care.
2012;1:127–32. https://doi.org/10.1089/wound.2011.0333. Bay L, Kragh KN, Eickhardt SR, Poulsen SS, Gjerdrum LMR, Ghathian K, et al. Bacterial
aggregates establish at the edges of acute epidermal wounds. Adv Wound Care. 2018;7:105–
13. https://doi.org/10.1089/wound.2017.0770.
Bisht K, Moore JL, Caprioli RM, Skaar EP, Wakeman CA. Impact of temperature-dependent
phage expression on pseudomonas aeruginosa biolm formation. Npj Biolms Microbiomes.
2021;7:1–9. https://doi.org/10.1038/s41522-021-00194-8. Bjarnsholt T, Kirketerp-Møller K, Jensen P Ø, Madsen KG, Phipps R, Krogfelt K, et al. Why
chronic wounds will not heal: a novel hypothesis. Wound Repair Regen. 2008;16:2–10. https://
doi.org/10.1111/j.1524-475X.2007.00283.x.
Bjarnsholt T, Tolker-Nielsen T, Givskov M, Janssen M, Christensen LH. Detection of bacteria by
uorescence in situ hybridization in culture-negative soft tissue ller lesions. Dermatologic
Surg. 2009;35:1620–4. https://doi.org/10.1111/j.1524-4725.2009.01313.x. Bjarnsholt T, Alhede M, Alhede M, Eickhardt-Sørensen SR, Moser C, Kühl M, et al. The in vivo
biol Bodelón G, Montes-GarcíaV,López-Puente V, Hill EH, Hamon C, Sanz-Ortiz MN, et al.
Detection a
surface-enhanced resonance
10.1038/nmat4720.
P, Mojica KDA, Allen JS, Matter ML. Detection and quantication
m.
Trends Microbiol. 2013;21:466–74. https://doi.org/10.1016/j.tim.2013.06.002.
nd imaging of quorum sensing in pseudomonas aeruginosa biolm communities by
high-frequency acoustic microscopy and targeted lipid microparticles.
Raman scattering. Nat Mater. 2016;15:1203–11. https://doi.org/
of bacterial
clinical
220 I. C. Thaarup and T. Bjarnsholt
Данная книга находится в списке для перевода на русский язык сайта https://meduniver.com/
Bullock AJ, Garcia M, Shepherd J, Rehman I, Sheila M. Bacteria induced pH changes in
tissue-engineered human skin detected non-invasively using Raman confocal spectroscopy.
Appl Spectrosc Rev. 2020;55:158–71. https://doi.org/10.1080/05704928.2018.1558232. Butina K, Tomac
A, Choong FX, Shirani H, Nilsson KPR, Löfer S, et al. Optotracing for
selective uorescence-based detection, visualization and quantication of live S. aureus in
real-time. NPJ Biolms Microbiomes. 2020;6. https://doi.org/10.1038/s41522-020-00150-y. Carrel M, Beltran MA, Morales VL, Derlon N, Morgenroth E, Kaufmann R, et al. Biolm imaging
in porous media by laboratory X-Ray tomography: combining a non-destructive contrast agent
with propagation-based phase-contrast imaging tools. PLoS ONE. 2017;12:1–18. https://doi.
org/10.1371/journal.pone.0180374.
Cendra M del M, Blanco-Cabra N, Pedraz L, Torrents E. Optimal environmental and culture
conditions allow the in vitro coexistence of pseudomonas aeruginosa and staphylococcus
aureus in stable biolms. Sci Rep. 2019;9:1–17. https://doi.org/10.1038/s41598-019-52726-0. Chang MC, Yu T, Luo J, Duan K, Tu P, Zhao Y, et al. Multimodal sensor system for pressure
ulcer wound assessment and care. IEEE Trans Ind Inform. 2018;14:1186–96. https://doi.org /
10.1109/TII.2017.2782213.
Chanmugam A, Langemo D, Thomason K, Haan J, Altenburger EA, Tippett A, et al. Relative
temperature maximum in wound infection and inammation as compared with a control
subject using long-wave infrared thermography. Adv Ski Wound Care. 2017;30:406–14.
https://doi.org/10.1097/01.ASW.0000522161.13573.62.
Choi Y, Banerjee A, McNish S, Couch KS, Torralba MG, Lucas S, et al. Co-occurrence of
anaerobes in human chronic wounds. Microb Ecol. 2019;77:808–20. https://doi.org/10.1007/
s00248-018-1231-z.
Choong FX, Bäck M, Fahlén S, Johansson LBG, Melican K, Rhen M, et al. Real-time optotracing
of curli and cellulose in live Salmonella biolms using luminescent oligothiophenes. NPJ
Biolms Microbiomes. 2016;2:1–11. https://doi.org/10.1038/npjbiolms.2016.24. Chua SL, Liu Y, Li Y, Ting HJ, Kohli GS, Cai Z, et al. Reduced intracellular c-di-GMP content
increases expression of quorum sensing-regulated genes in Pseudomonas aeruginosa. Front
Cell Infect Microbiol. 2017;7:1–8. https://doi.org/10.3389/fcimb.2017.00451. Coburn PS, Pillar CM, Jett BD, Haas W, Gilmore MS. Enterococcus faecalis senses target cells
and in response expresses cytolysin. Science. 2004;306:2270–2. https://doi.org/10.1126/
science.1103996.
Cornforth DM, Dees JL, Ibberson CB, Huse HK, Mathiesen IH, Kirketerp-møller K, et al.
Pseudomonas aeruginosa transcriptome during human infection. Proc Natl Acad Sci USA.
2018;115:5125–34. https://doi.org/10.1073/pnas.1717525115 . Dang
X, Bardhan NM, Qi J, Gu L, Eze NA, Lin CW, et al. Deep-tissue optical imaging
of near
cellular-sized features. Sci Rep. 2019;9:1–12. https://doi.org/10.1038/s41598-019-39502-w. Davies CE, Hill KE, Wilson MJ, Stephens P, Hill CM, Harding KG, et al. Use of 16S ribosomal
DNA PCR and denaturing gradient gel electrophoresis for analysis of the microoras of
healing and nonhealing chronic venous leg ulcers. J Clin Microbiol. 2004;42:3549–57. https://
doi.org/10.1128/JCM.42.8.3549-3557.2004.
Deirmengian C, Kardos K, Kilmartin P, Gulati S, Citrano P, Booth RE. The alpha-defensin test for
periprosthetic joint infection responds to a wide spectrum of organisms. Clin Orthop Relat Res.
2015;473:2229–35. https://doi.org/10.1007/s11999-015-4152-x. Dini V, Salvo P, Janowska A, Di Francesco F, Barbini A, Romanelli M. Correlation between
wound temperature obtained with an infrared camera and clinical wound bed score in venous
leg ulcers. Wounds Compend Clin Res Pract. 2015;27:274–8. https://doi.org/10.1021/
jp302401j.
Dinjaski N, Suri S, Valle J, Lehman SM, Lasa I, Prieto MA, et al. Near-infrared uorescence
imaging as an alternative to bioluminescent bacteria to monitor biomaterial-associated
infections. Acta Biomater. 2014;10:2935–44. https://doi.org/10.1016/j.actbio.2014.03.005.
Biofilms and Impaired Wound Healing 221
Dötsch A, Eckweiler D, Schniederjans M, Zimmermann A, Jensen V, Scharfe M, et al. The
pseudomonas aeruginosa transcriptome in planktonic cultures and static biolms using rna
sequencing. P Dowd SE, Wolcott RD, Sun Y, McKeehan T, Smith E, Rhoads D. Polymicrobial Nature of chronic
diabetic foot ulcer biolm infections determined using bacterial tag encoded FLX amplicon
pyrosequencing (bTEFAP). PLoS ONE. 2008;3: e3326. https://doi.org/10.1371/journal.pone.
0003326.
Dunyach-Remy C, Cadière A, Richard JL, Schuldiner S, Bayle S,
reaction-denaturing gradient gel electrophoresis (PCR-DGGE): a promising tool to diagnose
bacterial infections in diabetic foot ulcers. Diabetes Metab. 2014;40:476–80. https://doi.org/10.
1016/j.diabet.2014.03.002.
Edsberg LE, Wyffels JT, Brogan MS, Fries KM. Proteomics of chronic pressure ulcers. Wound
Repair Regen. 2012;20:378–401. https://doi.org/10.1111/j.1524-475X.2012.00791.x. Fazli M, Bjarnsholt T, Kirketerp-Møller K, Jørgensen B, Andersen AS, Krogfelt KA, et al.
Nonrandom distribution of pseudomonas aeruginosa and staphylococcus aureus in chronic
wounds. J Clin Microbiol. 2009;47:4084–9. https://doi.org/10.1128/JCM.01395-09. Fernandez ML, Upton Z, Edwards H, Finlayson K, Shooter GK. Elevated uric acid correlates with
wound severity. Int Wound J. 2012;9:139–49. https://doi.org/10.1111/j.1742-481X.2011.
00870.x.
Fernandez ML, Upton Z, Shooter GK. Uric acid and xanthine oxidoreductase
Curr Rheumatol Rep. 2014;16:1–7. https://doi.org/10.1007/s11926-013-0396-1. Fierheller M, Sibbald RG. A clinical investigation into the relationship between increased
periwound skin temperature and local wound infection in patients with chronic leg ulcers. Adv
Skin Wound Care. 2010;23:369–79. https://doi.org/10.1097/01.asw.0000383197.28192.98. Fritz BG, Kirkegaard JB, Nielsen CH, KirketerpMøller K, Malone M, Bjarnsholt T. Transcrip-
tomic ngerprint of bacterial infection in lower extremity ulcers. APMIS. 2022:1–11. https://
doi.org/10.1111/apm.13234.
Gajula B, Munnamgi S, Basu S. How bacterial
review. Int J Surg Glob Heal. 2020;3:e16–e16. https://doi.org/10.1097/gh9.0000000000000016. Gao Y, Nguyen DT, Yeo T, Lim S Bin, Tan WX, Madden LE, et al. A exible multiplexed
immunosensor for point-of-care in situ wound monitoring. Sci Adv. 2021;7:1–15. https://doi.
org/10.1126/sciadv.abg9614.
Gjødsbøl K, Christensen JJ, Karlsmark T, Jørgensen B, Klein BM, Krogfelt KA. Multiple bacterial
species reside in chronic wounds: a longitudinal study. Int Wound J. 2006;3:225–31. https://
doi.org/10.1111/j.1742-481X.2006.00159.x.
Gottrup
F. Oxygen in wound healing and infection. World J Surg. 2004;28:312–5. https://doi.org/
10.1007/s00268-003-7398-5.
Grice EA, Segre JA. Interaction of the
wounds. Adv Exp Med Biol. 2012:55– 68. https://doi.org/10.1007/978-1-4614-0106-3_4. Hanke ML, Angle A, Kielian T. MyD88-dependent signaling inuences brosis and alternative
macrophage activation during staphylococcus aureus biolm infection. PLoS ONE. 2012;7:1–
12. https://doi.org/10.1371/journal.pone.0042476.
Harjai K, Khandwaha RK, Mittal R, Yadav V, Gupta V, Sharma S. Effect of pH on production of
virulence factors by biolm cells of Pseudomonas aeruginosa. Folia Microbiol (praha).
2005;50:99–102. https://doi.org
Ou F, Wu Y, Sun X, Chen X, Li H, et al. Smart multi-layer PVA foam/ CMC mesh dressing
He M,
with integrated multi-functions for wound management and infection monitoring. Mater Des.
2020;194: 108913. https://doi.org/10.1016/j.matdes.2020.108913. Heming T
pH on tumour necrosis factor-a production by resident alveolar macrophages. Clin Sci.
2001;101:267–74. https://doi.org/10.1042/CS20010139.
LoS One. 2012;7. https://doi.org/10.1371/journal.pone.
biolms affect chronic wound healing: a narrative
microbiome with the innate immune response in chronic
/10.1007/BF02931455.
A, Davé SK, Tuazon DM, Chopra AK, Peterson JW, Bidani A. Effects of extracellular
0031092.
et al. Polymerase chain
Roig B,
in wound
healing.
222 I. C. Thaarup and T. Bjarnsholt
Данная книга находится в списке для перевода на русский язык сайта https://meduniver.com/
Herrmann BH, Daeschlein G, Von PS, Sicher C, Kuhn J, Masur K, et al. Detecting bacteria
on
wounds with hyperspectral imaging in uorescence mode. Curr Dir Biomed Eng. 2020;6:264–
7. https://doi.org/10.1515/cdbme-2020-3067.
Hobley L, Harkins C, MacPhee CE, Stanley-Wall NR. Giving structure to the biolm matrix: an
overview of individual strategies and emerging common themes. FEMS Microbiol Rev.
2015;39:649–69. https://doi.org/10.1093/femsre/fuv015. Hoštacká A, ČižnárI,Štefkovičová M. Temperature and pH affect the production of bacterial
biolm. Folia Microbiol (praha). 2010;55:75–8. https://doi.org/10.1007/s12223-010-0012-y. Jakobsen TH, Xu Y, Bay L, Schønheyder HC, Jakobsen T, Bjarnsholt T, et al. Sampling
challenges in diagnosis of chronic bacterial infections. J Med Microbiol. 2021;70. https://doi.
org/10.1099/jmm.0.001302.
James GA, Swogger E, Wolcott R, Pulcini ED, Secor P, Sestrich J, et al. Biolms in chronic
wounds. Wound Repair Regen. 2008;16:37–44. https://doi.org/10.1111/j.1524-475X.2007.
00321.x.
Jarošová R, McClure SE, Gajda M, Jović M, Girault HH, Lesch A, et al. Inkjet-printed carbon
nanotube electrodes for measuring pyocyanin and uric acid in a wound uid simulant and
culture media. Anal Chem. 2019;91:8835–44. https://doi.org/10.1021/acs.analchem.8b05591. Jeffery Marano R, Jane Wallace H, Wijeratne D, William Fear M, San Wong H, OHandley R.
Secreted biolm factors adversely affect cellular wound healing responses in vitro. Sci
Rep. 2015;5:1–11. https://doi.org/10.1038/srep13296. Jensen P, Bjarnsholt T, Phipps R, Rasmussen TB, Calum H, Christoffersen L, et al. Rapid necrotic
killing of polymorphonuclear leukocytes is caused by quorum-sensing-controlled production of
rhamnolipid by Pseudomonas aeruginosa. Microbiology. 2007;153:1329–38. https://doi.org/
10.1099/mic.0.2006/003863-0.
Johani K, Malone M, Jensen S, Gosbell I, Dickson H, Hu H, et al. Microscopy visualisation
conrms multi-species biolms are ubiquitous in diabetic foot ulcers. Int Wound J.
2017;14:1160–9. https://doi.org/10.1111/iwj.12777. Jones LM, Dunham D, Rennie MY, Kirman J, Lopez AJ, Keim KC, et al. In vitro detection of
porphyrin-producing
wound bacteria with real-time uorescence imaging. Futur Microbiol.
2020;15:319–32. https://doi.org/10.2217/fmb-2019-0279. Kadam S, Madhusoodhanan V, Dhekane R, Bhide D, Ugale
R, Tikhole U, et al. Milieu matters: an in vitro wound milieu to recapitulate key features of, and probe new insights into, mixed-species bacterial biolms. Biolm. 2021;3: 100047. https://doi.org/10.1016/j.biom.
2021.100047.
Kalan L, Meisel JS, Loesche MA, Horwinski J, Soaita I, Chen X, et al. The microbial basis of
impaired wound healing: differential roles for pathogens, 3 bystanders, and strain-level diversication in clinical outcomes. Cell Host Microbe. 2018;(in press). https://doi.org/10.
1101/427567.
Kassal P, Kim J, Kumar R, De Araujo WR, Steinberg IM, Steinberg MD, et al. Smart bandage
with wireless connectivity for uric acid biosensing as an indicator of wound status. Electrochem Commun. 2015;56:6–10. https://doi.org/10.1016/j.elecom.2015.03.018.
Khandaker MH, Xu L, Rahimpour R, Mitchell G, DeVries ME, Pickering JG, et al. CXCR1 and
CXCR2 are rapidly down-modulated by bacterial endotoxin through a unique agonist-independent, tyrosine kinase-dependent mechanism. J Immunol. 1998;161:1930–8.
Kim S, Li XH, Hwang HJ, Lee JH. Thermoregulation of pseudomonas aeruginosa biolm
formation. Appl Environ Microbiol. 2020;86:1–11. https://doi.org/10.1128/AEM.01584-20.
Kintarak S, Nair SP, Speight PM, Whawell SA. A recombinant fragment of the bronectin-binding
protein of Staphylococcus aureus inhibits keratinocyte migration. Arch Dermatol Res. 2004;296:250–7. https://doi.org/10.1007/s00403-004-0515-y .
Kirker KR, Secor PR, James GA, Fleckman P, Olerud JE, Stewart PS. Loss of viability and
induction of apoptosis in human keratinocytes exposed to Staphylococcus aureus biolms in vitro. Wound Repair Regen. 2009;17:690–9. https://doi.org/10.1111/j.1524-475X.2009.
00523.x.
Biofilms and Impaired Wound Healing 223
Kolpen M, Hansen CR, Bjarnsholt T, Moser C, Christensen LD, Van Gennip M, et al.
Polymorphonuclear leucocytes consume oxygen in sputum from chronic pseudomonas aeruginosa pneumonia in cystic brosis. Thorax. 2010;65:57–62. https://doi.org/10.1136/thx.
2009.114512.
Kolpen M,
Koo H, Yamada KM. Dynamic cell–matrix interactions modulate microbial biolm and tissue 3D
Kurz A, Sessler DI, Lenhardt R. Perioperative normothermia to reduce the incidence of surgical
Kvich L, Burmølle M, Bjarnsholt T, Lichtenberg M. Do mixed-species biolms dominate in
Leblebicioglu B, Walters J. Alkaline conditions accelerate polymorphonuclear leukocyte apoptosis
Leblebicioglu B, Lim JS, Cario AC, Beck FM, Walters JD. pH changes observed in the inamed
Leveen HH, Falk G, Borek B, Diaz C, Lyneld Y, Wynkoop BJ, et al. Chemical acidication of
Li X, Kong H, Mout R, Saha K, Moyano DF, Robinson SM, et al. Rapid identication of bacterial
Li S, Mohamedi AH, Senkowsky J, Nair A, Tang L. Imaging in chronic wound diagnostics. Adv
Lin YH, Chen YC, Cheng KS, Yu PJ, Wang JL, Ko NY. Higher periwound temperature associated
Liu Y, Yang K, Zhang
Löfer M, Zieker D, Weinreich J, LöbS
López-Álvarez M,
LuTheryn G, Glynne-Jones P, Webb JS, Carugo D. Ultrasound-mediated therapies for the
Madsen SM, Westh H, Danielsen L, Rosdahl VT. Bacterial colonization and healing of venous leg
Malone M, Bjarnsholt T, McBain AJ, James GA, Stoodley P, Leaper D, et al. The prevalence of
Malone M, Johani K, Jensen SO, Gosbell IB, Dickson HG, McLennan S, et al. Effect of
Kragh KN, Enciso JB, Faurholt-Jepsen D, Lindegaard B, Egelund GB, et al. Bacterial biolms predominate in both acute and chronic human lung infections. Thorax. 2022: thoraxjnl-2021-217576. https://doi.org/10.1136/thoraxjnl-2021-217576.
microenvironments. Curr Opin Cell Biol. 2016;42:102–12. https://doi.org/10.1016/j.ceb.2016.
05.005.
wound infection and shorten hospitalization. N Engl J Med. 1996;334:1209–15. https://doi.org/
10.1097/00008506-199610000-00013.
chronic infections?–need for in situ visualization of bacterial organization. Front Cell Infect Microbiol. 2020;10. https://doi.org/10.3389/fcimb.2020.00396.
in vitro. Infect Immun. 1999;67:2019–21. https://doi.org/10.1128/iai.67.4.2019-2021.1999.
gingival crevice modulate human polymorphonuclear leukocyte activation in vitro. J Periodon­tol. 1996;67:472–7. https://doi.org/10.1902/jop.1996.67.5.472.
wounds. An adjuvant to healing and the unfavorable action of alkalinity and ammonia. Ann Surg. 1973;178:745–53. https://doi.org/10.1097/00000658-197312000-00011.
biolms and biolm wound models using a multichannel nanosensor. ACS Nano. 2014;8:12014–9. https://doi.org/10.1021/nn505753s.
Wound Care. 2020;9:245–63. https://doi.org/10.1089/wound.2019.0967.
with wound healing of pressure ulcers detected by infrared thermography. J Clin Med. 2021;10. https://doi.org/10.3390/jcm10132883.
bacterial metabolism. Front Microbiol. 2020;11. https://doi.org/10.3389/fmicb.2020.577564.
concentration: a helpful marker for diagnosing soft-tissue infection in Preliminary ndings. Diabet Med.
03123.x.
Bacteria-targeted uorescence imaging of extracted osteosynthesis devices for rapid visual­ization of fracture-related infections. Eur J Nucl Med Mol Imaging. 2022:2276–89. https://doi.
org/10.1007/s00259-022-05695-y.
treatment of biolms in chronic wounds: a review of present knowledge. Microb Biotechnol. 2020;13:613–28. https://doi.org/10.1111/1751-7915.13471.
ulcers. A
biolms in chronic wounds: a systematic review and meta-analysis of published data. J Wound Care. 2017a;26:20–5. https://doi.org/10.12968/jowc.2017.2
cadexomer
Heuker M,
PMIS. 1
996;104:895–9.
iodine on the microbial load and diversity of chronic non-healing diabetic foot
Y, Wang Z. Combating antibiotic tolerance through activating
H, Jia
,Königsrainer I, Symons S, et al. Wound uid lactate
2011;28:175–8. https://doi.org/10.1111/j.1464-5491.2010.
Sjollema KA, van Dam GM, van Dijl JM, IJpma FFA, et al.
6.1.20.
diabetic foot ulcers?
224 I. C. Thaarup and T. Bjarnsholt
Данная книга находится в списке для перевода на русский язык сайта https://meduniver.com/
ulcers complicated by biolm in vivo. J Antimicrob Chemother. 2017b;72:2093–101. https://
doi.org/10.1093/jac/dkx099.
Malone M, Gosbell IB, Dickson HG, Vickery K, Espedido BA, Jensen
SO. Can molecular DNA-based techniques unravel the truth about diabetic foot infections? Diabetes Metab Res Rev. 2017c;33:1–7. https://doi.org/10.1002/dmrr.2834.
McClure CD, Schiller NL. Effects of pseudomonas aeruginosa rhamnolipids on human monocyte-
derived macrophages. J Leukoc Biol. 1992;51:97–102. https://doi.org/10.1002/jlb.51.2.97.
Minematsu T, Nakagami G, Yamamoto Y, Kanazawa T, Huang L, Koyanagi H, et al. Wound
blotting: a convenient biochemical assessment tool for protein components in exudate of chronic wounds. Wound Repair Regen. 2013;21:329–34. https://doi.org/10.1111/wrr.12017.
Motz K, Lina I, Murphy MK, Drake V, Davis R, Tsai H, et al. M2 macrophages promote collagen
expression and synthesis in laryngotracheal stenosis broblasts. Laryngoscope. 2021;131: E346–53. https://doi.org/10.1002/lary.28980.
Nahas GG, Tannieres ML, Lennon JF. Direct measurement of leukocyte motility: effects of pH and
temperature. Proc Soc Exp Biol Med. 1971;138:350–2. https://doi.org/10.3181/00379727-138-
35894.
Nakagami G, Schultz G, Gibson DJ, Phillips P, Kitamura A, Minematsu T, et al. Biolm detection
by wound blotting can predict slough development in pressure ulcers: a prospective observational study. Wound Repair Regen. 2017;25:131–8. https://doi.org/10.1111/wrr.12505.
Neut D, Tijdens-Creusen EJA, Bulstra SK, van der Mei HC, Busscher HJ. Biolms in chronic
diabetic foot ulcers–a study of 2 cases. Acta Orthop. 2011;82:383–5. https://doi.org/10.3109/
17453674.2011.581265.
Ngernpimai S, Geng Y, Makabenta JM, Landis RF, Keshri P, Gupta A, Li C, Chompoosor A,
Rotello VM. Rapid identication of biolms using a robust multichannel polymer sensor array. Physiol Behav. 2017;176:139–48. https://doi.org/10.1021/acsami.9b00839.
Nguyen TTA, Ramella-Roman JC, Moffatt LT, Ortiz RT, Jordan MH, Shupp JW. Novel
application of a spatial frequency domain imaging system to determine signature spectral differences between infected and noninfected burn wounds. J Burn Care Res. 2013;34:44–50.
https://doi.org/10.1097/BCR.0b013e318269be30.
Nguyen CQ, Thrift WJ, Bhattacharjee A, Ranjbar S, Gallagher T, Darvishzadeh-Varcheie M, et al.
Longitudinal monitoring of biolm formation via robust surface-enhanced raman scattering quantication of pseudomonas aeruginosa-produced metabolites. ACS Appl Mater Interfaces. 2018;10:12364–73. https://doi.org/10.1021/acsami.7b18592.
Nouvong A, Hoogwerf B, Mohler E, Davis B, Tajaddini A, Medenilla E. Evaluation of diabetic
foot ulcer healing with hyperspectral imaging of oxyhemoglobin and deoxyhemoglobin. Diabetes Care. 2009;32:2056–61. https://doi.org/10.2337/dc08-2246.
Oates A, Bowling FL, Boulton AJM, Bowler PG, Metcalf DG, McBain AJ. The visualization of
lms
bio
in chronic diabetic foot wounds using routine diagnostic microscopy methods.
J Diabetes Res. 2014;2014:1–8. https://doi.org/10.1155/2014/153586.
Otto M. Staphylococcus epidermidisthe accidentalpathogen. Nat Rev Microbiol. 2009;7:555–
67. https://doi.org/10.1038/nrmicro2182.
Pan N, Qin J, Feng
P, Li Z, Song B. Color-changing smart brous materials for naked eye real-time monitoring of wound pH. J Mater Chem B. 2019;7:2626–33. https://doi.org/10.1039/
c9tb00195f.
Percival SL, Mccarty S, Hunt JA, Woods EJ. The effects of pH on wound healing, biolms, and
antimicrobial efcacy. Wound Re. 2014;22:174–86. https://doi.org/10.1111/wrr.12125.
Poosapadi Arjunan S, Tint AN, Aliahmad B, Kumar DK, Shukla R, Miller J, et al. High-resolution
spectral analysis accurately identies the bacterial signature in infected chronic foot ulcers in people with diabetes. Int J Low Extrem Wounds. 2018;17:78–86. https://doi.org/10.1177/
1534734618785844.
Price LB, Liu CM, Frankel YM, Melendez JH, Aziz M, Buchhagen J, et al. Macroscale spatial
variation in chronic wound microbiota: a cross-sectional study. Wound Repair Regen. 2011;19:80–8. https://doi.org/10.1111/j.1524-475X.2010.00628.x.
Biofilms and Impaired Wound Healing 225
Prince LR, Bianchi SM, Vaughan KM, Bewley MA, Marriott HM, Walmsley SR, et al.
Subversion of a lysosomal Pyocyanin J
I
mmunol. 2008;180:3502–11. https://doi.org/10.4049/jimmunol.180.5.3502.
pathway regulating neutrophil apoptosis by a major bacterial toxin.
Pusta A, Tertiș M, Cristea C, Mirel S. Wearable sensors for the detection of biomarkers for wound
infection. Biosensors. 2022;12:1–20. https://doi.org/10.3390/bios12010001.
Raizman R, Little W, Smith AC. Rapid diagnosis of pseudomonas aeruginosa in wounds with
point-of-care uorescence imaging. Diagnostics. 2021;11:1–13. https://doi.org/10.3390/
diagnostics11020280.
Ranjbar S, Shahrokhian S. Design and fabrication of an electrochemical aptasensor using Au
nanoparticles/carbon nanoparticles/cellulose nanobers nanocomposite for rapid and sensitive detection of Staphylococcus aureus. Bioelectrochemistry. 2018;123:70–6. https://doi.org/10.
1016/j.bioelechem.2018.04.018.
Raziyeva K, Kim Y, Zharkinbekov Z, Kassymbek K, Jimi S, Saparov A. Immunology of acute and
chronic wound healing. Biomolecules. 2021;11:1–25. https://doi.org/10.3390/biom11050700.
Redkar R, Kalns J, Butler W, Krock L, McCleskey F, Salmen A, et al. Identication of bacteria
from a non-healing diabetic foot wound by 16 S rDNA sequencing. Mol Cell Probes. 2000;14:163–9. https://doi.org/10.1006/mcpr.2000.0303.
Rennie MY, Lindvere-Teene L, Tapang K, Linden R. Point-of-care uorescence imaging predicts
the presence of pathogenic bacteria in wounds: a clinical study. J Wound Care. 2017;26:452–
60. https://doi.org/10.12968/jowc.2017.26.8.452.
Rennie MY, Dunham D, Lindvere-Teene L, Raizman R, Hill
real-time uorescence signals from bacteria and wound tissues observed with the MolecuLight
TM
i:X
. Diagnostics. 2019;9. https://doi.org/10.3390/diagnostics9010022.
R, Linden
R. Understanding
Roy S, Bisaria K, Nagabooshanam S, Selvam A, Chakrabarti S, Wadhwa S, et al. An
electroanalytical paper-based wound dressing using ZIF-67/C3N4nanocomposite towards the monitoring of staphylococcus aureus in diabetic foot ulcer. IEEE Sens J. 2021;21:1215–21.
https://doi.org/10.1109/JSEN.2020.3018019.
Rumbo-Feal S, Gómez MJ, Gayoso C, Álvarez-Fraga L, Cabral MP, Aransay AM, et al. Whole
transcriptome analysis of acinetobacter baumannii assessed by RNA-sequencing reveals different mRNA expression proles in biolm compared to planktonic cells. PLoS ONE. 2013;8:1–19. https://doi.org/10.1371/journal.pone.0072968.
Saiko G, Lombardi P, Au Y, Queen D, Armstrong D, Harding K. Hyperspectral imaging in wound
care: a systematic review. Int Wound J. 2020;17:1840–56. https://doi.org/10.1111/iwj.13474.
Schaber JA, Triffo WJ, Sang JS, Oliver JW, Hastert MC, Griswold JA, et al. Pseudomonas
aeruginosa forms biolms in acute infection independent of cell-to-cell signaling. Infect Immun. 2007;75:3715–21. https://doi.org/10.1128/IAI.00586-07.
Schierle CF, De La Garza M, Mustoe TA, Galiano RD. Staphylococcal biolms impair wound
healing by delaying reepithelialization in a murine cutaneous wound model. Wound Repair Regen. 2009;17:354–9. https://doi.org/10.1111/j.1524-475X.2009.00489.x.
Schlafer S, Meyer RL. Confocal microscopy imaging of the biolm matrix. J Microbiol Methods.
2017;138:50–9. https://doi.org/10.1016/j.mimet.2016.03.002.
Schneider LA, Korber A, Grabbe S, Dissemond J. Inuence of pH on wound-healing: a new
perspective for wound-therapy? Arch Dermatol Res. 2007;298:413–20. https://doi.org/10.
1007/s00403-006-0713-x.
Schreml S, Szeimies RM, Prantl L, Karrer S, Landthaler M, Babilas P. Oxygen in acute and
chronic wound healing. Br J Dermatol. 2010;163:257–68. https://doi.org/10.1111/j.1365-2133.
2010.09804.x.
S
ecor PR, J
ames GA, Fleckman P, Olerud JE, McInnerney K, Stewart PS. Staphylococcus aureus biolm and planktonic cultures differentially impact gene expression, mapk phosphorylation, and cytokine production in human keratinocytes. BMC Microbiol. 2011;11:143. https://doi.
org/10.1186/1471-2180-11-143.
226 I. C. Thaarup and T. Bjarnsholt
Данная книга находится в списке для перевода на русский язык сайта https://meduniver.com/
Sellmyer MA, Lee I, Hou C, Weng CC, Li S, Lieberman BP, et al. Bacterial infection imaging
with [18F]uoropropyl-trimethoprim. Proc Natl Acad Sci USA. 2017;114:8372–7. https://doi.
org/10.1073/pnas.1703109114.
Sen CK. Human wounds and
its burden: an updated compendium of estimates. Adv Wound Care.
2019;8:39–48. https://doi.org/10.1089/wound.2019.0946 .
Seth AK, Geringer MR, Gurjala AN, Hong SJ, Galiano RD, Leung KP, et al. Treatment of
pseudomonas aeruginosa biolm-infected wounds with clinical wound care strategies. Plast Reconstr Surg. 2012;129:262e–74e. https://doi.org/10.1097/PRS.0b013e31823aeb3b.
Sharifuzzaman M, Chhetry A, Zahed MA, Yoon SH, Park CI, Zhang S, et al. Smart bandage with
integrated multifunctional sensors based on MXene-functionalized porous graphene scaffold for chronic wound care management. Biosens Bioelectron. 2020;169: 112637. https://doi.org/
10.1016/j.bios.2020.112637.
Sharp D, Forsythe S, Davis J. Carbon bre composites: Integrated electrochemical sensors for
wound management. J Biochem. 2008;144:87–93. https://doi.org/10.1093/jb/mvn045.
Shukla VK, Shukla D, Tiwary SK, Agrawal S, Rastogi A. Evaluation of pH measurement as a
method of wound assessment. J Wound Care. 2014;16:291–4. https://doi.org/10.12968/jowc.
2007.16.7.27062.
Sibai M, Wirth DJ, Leblond F, Roberts DW, Paulsen KD, Wilson BC. Quantitative subsurface
spatial frequency-domain uorescence imaging for enhanced glioma resection. J Biophotonics. 2019:1–6. https://doi.org/10.1002/jbio.201800271.
Simoska O, Duay J, Stevenson KJ. Electrochemical detection of multianalyte biomarkers in wound
healing efcacy. ACS Sensors. 2020;5:3547–57. https://doi.org/10.1021/acssensors.0c01697.
Sindrilaru A, Scharffetter-Kochanek K. Disclosure of the culprits: macrophagesversatile
regulators of wound healing. Adv Wound Care. 2013;2:357–68. https://doi.org/10.1089/
wound.2012.0407.
Tamayol A, Akbari M, Zilberman Y, Comotto M, Lesha E, Serex L, et al. Flexible pH-sensing
hydrogel bers for epidermal applications. Adv Healthc Mater. 2016;5:711–9. https://doi.org/
10.1002/adhm.201500553.
Thaarup IC, Iversen AKS, Lichtenberg M, Bjarnsholt T, Jakobsen TH. Biolm survival strategies in
chronic wounds. Microorganisms. 2022;10:775. https://doi.org/10.3390/microorganisms10040775.
Thatcher JE, Squiers JJ, Kanick SC, King DR, Lu Y, Wang Y, et al. Imaging techniques for
clinical burn assessment with a focus on multispectral imaging. Adv Wound Care. 2016;5:360–
78. https://doi.org/10.1089/wound.2015.0684.
Thet NT, Alves DR, Bean JE, Booth S, Nzakizwanayo J, Young AER, et al. Prototype
development of the intelligent hydrogel wound dressing and its efcacy in the detection of model pathogenic wound biolms. ACS Appl Mater Interfaces. 2016;8:14909–19. https://doi.
org/10.1021/acsami.5b07372.
Thet
NT, Mercer-Chalmers J, Greenwood RJ, Young AER, Coy K, Booth S, et al. SPaCE swab:
point-of-care
sensor for simple and rapid detection of acute wound infection. ACS Sensors.
2020;5:2652–7. https://doi.org/10.1021/acssensors.0c01265.
Thomas AN, Riazanskaia S, Cheung W, Xu Y, Goodacre R, Thomas CLP, et al. Novel
noninvasive identication of biomarkers by analytical proling of chronic wounds using volatile organic compounds. Wound Repair Regen. 2010;18:391–400. https://doi.org/10.1111/
j.1524-475X.2010.00592.x.
Thomsen TR, Aasholm MS, Rudkjøbing VB, Saunders AM, Bjarnsholt T, Givskov M, et al. The
bacteriology of chronic venous leg ulcer examined by culture-independent molecular methods. Wound Repair Regen. 2010;18:38–49. https://doi.org/10.1111/j.1524-475X.2009.00561.x.
Thurlow LR, Hanke ML, Fritz T, Angle A, Aldrich A, Williams H, et al. Staphyloccous auerus
biolms prevent marcophage pahgocytosis and attenuate inammation in vivo. J Immunol. 2012;186:6585–96. https://doi.org/10.4049/jimmunol.1002794.Staphylococcus.
Соседние файлы в папке @xirurgi_2025