Abstract
Chitosan, a polysaccharide derived from chitin, has excellent wound healing properties, including intrinsic antimicrobial and hemostatic activities. This study investigated the effectiveness of chitosan dressing and compared it with that of regular gauze dressing in controlling clinically surgical bleeding wounds and profiled the community structure of the microbiota affected by these treatments. The dressings were evaluated based on biocompatibility, blood coagulation factors in rat, as well as antimicrobial and procoagulant activities, and the microbial phylogenetic profile in patients with abdominal surgical wounds. The chitosan dressing exhibited a uniformly fibrous morphology with a large surface area and good biocompatibility. Compared to regular gauze dressing, the chitosan dressing accelerated platelet aggregation, indicated by the lower ratio of prothrombin time and activated partial thromboplastin time, and had outstanding blood absorption ability. Adenosine triphosphate assay results revealed that the chitosan dressing inhibited bacterial growth up to 8 d post-surgery. Moreover, 16S rRNA-based sequencing revealed that the chitosan dressing effectively protected the wound from microbial infection and promoted the growth of probiotic microbes, thereby improving skin immunity and promoting wound healing. Our findings suggest that chitosan dressing is an effective antimicrobial and procoagulant and promotes wound repair by providing a suitable environment for beneficial microbiota.
Keywords: antimicrobial, chitosan, hemostasis, microbiota, procoagulant, wound dressing
1. Introduction
In recent years, attempts have been made to develop functional biomaterials for the regeneration of tissue damaged or lost due to disease or injury. Choosing and designing suitable biomaterials for tissue engineering are important tasks because they are expected to assist in cellular activities and mimic the natural microenvironment of the tissue, thereby supporting the biological repair process [1,2]. Amongst a wide range of biomaterials, natural polymers, such as chitosan, collagen, alginate, silk, cellulose, hyaluronic acid, and some polynucleotides, are potential candidates for tissue engineering due to their excellent biocompatibility and extracellular matrix (ECM)-mimicking characteristics [3,4].
Chitosan is a linear polysaccharide derived from the partial deacetylation of chitin, which is the second most abundant natural polymer consisting of 2-acetamido-2-deoxy-β-D-glucose that confers a pH-dependent positive charge to the polymer [5]. The high positive charge on chitosan can stimulate erythrocyte adhesion, fibrinogen adsorption, and platelet activation, rendering it an excellent hemostatic agent [6]. Chitosan is permeable to oxygen, promotes immunity, and exhibits characteristics of high biocompatibility and biodegradability, non-antigenicity, low toxicity, and antimicrobial efficacy, indicating its potential in tissue engineering and biomedical applications [7,8,9].
During skin regeneration, the wound healing process comprises complex overlapping phases, which involve components of the blood, extracellular components, and cells [10]. The wound is susceptible to infection and can be an entry point for systemic infections, resulting in the failure of wound repair. Pathogenic organisms, such as staphylococci and streptococci, are the most encountered bacteria causing severe septicity, ranging from skin and soft tissue infections to severe persistent infections [11,12]. Consequently, the treatment of skin lesions requires a dressing that not only stimulates the healing of damaged skin but also provides antimicrobial protection [13]. Chitosan composites have outstanding antimicrobial activity owing to the electrostatic interactions between the protonated NH3+ chitosan groups and negatively charged cell membranes of microbes [14,15,16]. Chitosan-based dressings have been shown to possess significant potential as wound dressings in wound repair owing to their high porosity, ability to mimic the ECM of the skin, good superficial contact, and excellent antimicrobial properties [17].
Many studies have been conducted on the application of chitosan and its derivatives in wound treatment due to their intrinsic antimicrobial and wound healing effects [18,19,20,21]. However, understanding the multifaceted host–microbiota interactions and how the wound environment is modulated by the chitosan is essential for developing treatment strategies specifically targeting the corresponding microbiota, and to increase its application in the medicine, food, and cosmetic fields. In this study, we aimed to investigate the effectiveness of chitosan dressing in controlling bleeding wounds, compared with that of regular gauze, as well as to profile the community structure of the microbiota affected by these treatments. To the best of our knowledge, this is the first study to evaluate the antimicrobial effect of pure chitosan dressing on microbiota environment in clinically surgical wounds by performing 16S rRNA-based sequencing.
2. Results and Discussion
2.1. Characterization of Chitosan Dressing and Biocompatibility Analysis
The structural characteristics of chitosan dressing used in this study were examined using Fourier-transform infrared (FTIR) spectroscopy. As shown in Figure 1a, the chitosan dressing demonstrated characteristic transmittance bands C–O–C (at 1032 cm−1), C–N–H (at 1350 cm−1, 1540 cm−1), O=C=O vibration (at 2360 cm−1), C–H (at 2884 cm−1, 3361 cm−1), and O–H and N–H bonds (at 3291 cm−1, 3361 cm−1, respectively), which represented the main features of chitosan [22,23,24,25]. Scanning electron microscopy (SEM) revealed that the chitosan dressing displayed a uniformly fibrous conformation with large surface area (Figure 1b). These features are required for an ideal wound dressing system to accelerate wound hemostasis by absorbing excess drainage, allow oxygen permeation and fluid exchange, and maintaining a suitable environment at the wound–dressing interface [26].
The absence of adverse reactions in the living system or a suitable host response to the presence of a material is essential for preventing impaired healing. We assessed the biocompatibility of the chitosan dressing by evaluating the cytolysis of WS1 fibroblasts incubated with the dressing for 24 and 48 h. The chitosan dressing could significantly inhibit cytolysis (disintegration of cells) (Figure 2), nearly similar to the reagent or negative control, which are represented by Dulbecco’s modified Eagle’s medium (DMEM) and phosphate-buffered saline (PBS), respectively, thus demonstrating good biocompatibility.
2.2. Coagulation Cascade Analysis
The disruption of initial blood coagulation in the wound area plays a vital role in impairing the wound healing response [27]. Poor fibrin deposition might result an inability to embed the platelet plug to the surrounding tissues, further distributing wound expansion caused by edema [27]. Hence, the effects of wound dressing on the coagulation cascade must be evaluated. Prothrombin time (PT) and activated partial thromboplastin time (aPTT) represent the time from the activation of coagulation to the generation of fibrin after the initiation of the extrinsic and intrinsic pathways, respectively [28]. A prolonged PT or aPTT may indicate the deficiency of blood coagulation factors. We compared the effect of chitosan and regular gauze dressings on PT and aPTT of rat blood at 25 °C and 37 °C, which represent the room temperature and human or rat body temperature, respectively. As shown in Figure 3, the chitosan dressing displayed the lowest PT and aPTT ratio both in healthy rats and rats with heparin consumption, especially at 37 °C. Thus, the effectiveness of chitosan in accelerating coagulation was established.
To evaluate the effect of the dressings on blood coagulation, both dressings were used to compress abdominal surgical wounds of patients for 3, 5, and 10 min, and the ability of the dressing to absorb blood was analyzed by performing the hemoglobin assay. The wound-contact dressings were incubated in saline solution for 1, 3, 5, and 10 min. The residual hemoglobin concentration of the wound-contact chitosan dressing in the saline solution was significantly lower than that in the regular gauze dressing at all incubation times (Figure 4), indicating that chitosan acted as an effective procoagulant activator that helps the blood to clot faster [19]. Studies have reported that chitosan alters the microstructure of hemoglobin and increases the viscosity of blood by interacting with negatively charged thrombocytes and erythrocytes [29,30]. In addition, chitosan molecules are more effective than chitin during blood coagulation, by not merely accelerating platelet aggregation but also erythrocyte aggregation [31].
2.3. Antimicrobial Activities
The wound environment is conducive to microbial growth as it contains microbes, micronutrients, and exudates [32]. Infection that may result from inadequate wound care triggers the systemic immune response and impedes vital processes involved in wound healing. Hence, the ability of the wound dressing to protect against microbes is important. We compared the antimicrobial activity of dressings in contact with wounds up to 8 d post-surgery. Compared with the gauze dressing, the chitosan dressing was found to significantly inhibit bacterial growth in the wound during the first 5 d post-surgery (Figure 5), indicating the strong antimicrobial characteristic of chitosan. This trend continued as time progressed, but no statistical difference was observed between treatments after 5 d post-surgery. Thus, chitosan dressing is a more efficient antimicrobial than regular gauze, especially shortly after wounding. Effective microbial protection at the onset of wound healing is critical in determining whether the wound is likely to heal, thereby reducing patient trauma, treatment costs, and the demand for resources in wound management [33]. The excellent antimicrobial activity of chitosan is attributed to the presence of numerous basic amino groups, with an overall cationic charge at an acidic pH, which helps in the disruption and lysis of bacterial cells [20,34,35].
To evaluate the phylogenetic profile of the microbial community in the wound affected by the dressing treatments, 16S rRNA-based sequencing on the Illumina MiSeq platform was performed. Figure 6 demonstrates the influence of wound dressing on the relative abundance of bacterial population at the family level. We found that the chitosan dressing inhibited the growth of members of Enterobacteriaceae (from 8.1% in 1 d to 7% in 6 d post-surgery) and Muribaculaceae (from 3.3% in 1 d to 2.3% in 6 d post-surgery) and promoted the growth of members of Pseudomonadaceae by 7.6% up to 6 d post-surgery compared with the regular gauze dressing. In both dressings, the abundance of Enterococcaceae was found to be the highest among all families and increased at 6 d post-surgery; however, it was less in the chitosan dressing than that in regular gauze at days 1 (31.6% vs. 23.1%) and 6 (32.3% vs. 25.2%) post-surgery. In addition, Aeromonadaceae showed a lower abundance in the wound with the chitosan-dressing treatment (13.7%) at 1 d post-surgery compared to the regular gauze dressing (18.7%), and after 6 d post-surgery, Aeromonadaceae was not observed in both treatments. Furthermore, a heat-map analysis was conducted according to species annotation and abundance information of all groups in genus hierarchy (Figure 7). Enterococcus, Parabacteroides, Lachnospiraceae, Alcaligenes, and Ruminococcaceae were abundant in wounds treated with regular gauze dressing at 1 d post-surgery and were replaced with Staphylococcus, Neisseria, Bradyrhizobium, and Corynebacterium after 6 d; however, these bacteria were not identified in wounds treated with the chitosan dressing. In addition, wounds treated with the chitosan dressing showed an abundance of Cutibacterium, Psychrobacter, Pseudomonas, Fusobacterium, Prevotella, Vibrio, Listeria, Lactobacillus, and Oscillibacter at 6 d post-surgery.
An infection occurs when virulence factors expressed by microorganisms in a wound overtake the natural immune system of the host, thus initiating their invasion and dissemination, resulting in a series of local and systemic responses [33]. Postoperative wound infections and skin and soft-tissue infections are most often caused by biofilm-forming bacteria, including staphylococci, Enterococcus spp., Enterobacter spp., Peptostreptococcus spp., Acinetobacter baumannii, Escherichia coli, and Parabacteroides [33,36,37,38]. Our findings suggest that treating surgical wounds with chitosan dressings can prevent the growth of pathogenic species that may initiate wound infection. In addition, some common probiotics, such as Prevotella, Lactobacillus, and Oscillibacter, were present in wounds with chitosan dressing up to 6 d post-surgery but were absent in wounds with regular gauze dressing. Probiotics are microbes beneficial to the host and can positively promote wound healing by acting as signaling receptors against pathogens and stimulating the production of beta-defensins, which improve skin immunity [39,40].
Partial least squares discriminant analysis (PLS-DA) was performed by analyzing the operational taxonomic unit (OTU) of bacteria from all dressing samples to evaluate compositional differences and similarities between bacterial populations in the wound after the application of the dressing treatment. The PLS-DA scatterplot displayed structural variability of 19.48% (PLS1: 10.14%; PLS2: 9.34%) in the bacterial communities between the different treatments (Figure 8). The microbial composition in the wound was altered following regular gauze-dressing treatment at 1 d and 6 d post-surgery, shown as blue and green ellipses in Figure 8, respectively, which clustered separately. Conversely, bacterial composition following the chitosan-dressing treatment was almost similar at 1 d and 6 d post-surgery, depicted with orange and pink ellipses in Figure 8, respectively, with overlapping clusters. In addition, microbial populations varied between the two dressing treatments at both 1 and 6 d post-surgery. The PLS-DA results confirm the results from heat-map analysis that alterations in the bacterial community with regular gauze-dressing treatment were more significant than those with chitosan-dressing treatment [41,42].
The variability and similarity of bacterial populations in both dressings were also observed by analyzing the intersection size among sets of bacterial genes using the UpSet plot analysis (Figure 9). Genes in bacterial communities clustered into 1521 orthogroups [43]. The results revealed that 287 orthogroups were defined as the largest orthogroups, indicating that orthogroups in wounds with chitosan dressing after 6 d of treatment were shared and upregulated to the orthogroups in the other three treatment groups. Moreover, 266 and 176 orthogroups were specifically upregulated in the wound after 6 d and 1 d of treatment using regular gauze dressing, respectively. These results were quite consistent with the results of PLS-DA.
Thus, chitosan dressing can effectively protect the wound from microbial infection as well as improve the composition of the microbial community to facilitate wound repair.
3. Materials and Methods
3.1. Experimental Dressing
Surgical cotton gauze was purchased from China Surgical Dressings Company (Taipei, Taiwan (R.O.C.)).
The chitosan dressing was produced by using a wet-spinning method [19]. Chitosan raw material (Mw = 100 kDa, degree of deacetylation ≥ 85%) was purchased from Une Shin Trading Co., Ltd. (CAS No. 9012–76–4; New Taipei City, Taiwan). This material was dissolved in 3% (v/v) and 5% (w/v) concentration of acetic acid by stirring overnight at 25 °C. The solution was then diluted with methanol to reach 3% (w/v) final solution concentration, followed by solution filtering through a cloth filter in an ultrasonic bath to remove the air bubbles. Further, the solution was injected into a coagulation bath maintained at 40 °C containing a 10% solution of 1 M NaOH in distilled water. The fibers were allowed to form in this medium for 1 d, followed by washing with distilled water several times. Further, the fibers were suspended in aq. 2% TWEEN20 for 5 min, followed by 50%, 60%, and 70% methanol soaking for 5 min, respectively. The obtained chitosan filaments were thus compressed to drain the absorbed liquid on the mangled machine and were dried in the oven at 60 °C in a mold. Finally, the chitosan dressing was sterilized using gamma radiation of 25 kGy before use.
3.2. Characterization of Chitosan Dressing
The structural characteristics of the chitosan dressing were examined using an FTIR spectrometer (Nicolet 8700, Thermo Scientific, Waltham, MA, USA) at 600–4000 cm−1. For each measurement, 32 scans/spectrum were coded at 1 cm−1 resolution. Furthermore, the surface morphology of the chitosan dressing was observed using SEM (Hitachi S–3000N, Hitachi High Technologies, Krefeld, Germany), and the SEM images were obtained at 500× to 1000× magnification under an accelerating voltage of 1.5 kV at a working distance of ~15.0 mm.
3.3. Biocompatibility Analysis
To evaluate the biocompatibility of the chitosan dressing, human skin fibroblast cells (WS1, ATCC number: CRL–1502), at a density of 105 cells/mL, were loaded in direct contact with the dressing and incubated in a humidified incubator at 37 °C with 5% CO2. In addition to evaluating the dressing (test product), the reagent control, negative control, and positive control groups, which represent DMEM, PBS, and 10% dimethyl sulfoxide (DMSO), respectively, were evaluated for comparison. The samples were cultured in DMEM supplemented with 10% (v/v) fetal bovine serum and 1 U/mL streptomycin–penicillin for 24 and 48 h. Cytolysis activity was investigated using the colorimetric 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide (MTT) assay. The medium from each group was removed and replaced with 20 μL MTT (5 mg/mL) and incubated for 4 h at 37 °C, followed by the addition of DMSO for 10 min. The absorbance was read at 570 nm on a microplate reader (Bio-Tek ELX-800; BioTek, Winooski, VT, USA). The tests were conducted in triplicate.
3.4. PT and aPTT Analysis
The animal study was approved by the Institutional Animal Care and Use Committee (IACUC-19-174) at the National Defense Medical Center (Taipei, Taiwan). Twelve 8-week-old male Sprague–Dawley rats were purchased from Bio-LASCO Co. Ltd. (Taipei, Taiwan) and divided into two groups, namely healthy rats (n = 6) and rats with heparin consumption (n = 6). Blood samples were collected from both groups and transferred to vials containing 3.2% (w/v) sodium citrate. The blood was then incubated with the chitosan or regular gauze dressing at 25 °C and 37 °C; blood without dressing material served as the control and was subjected as ratio. For PT and aPTT analysis, the dressings were removed, and sera were collected and fed into an automated blood hemostasis analyzer (CS-2100i; Sysmex Corp., Kobe, Japan). Each experiment was performed in triplicate.
3.5. Hemoglobin Absorption Analysis
The clinical trial conducted in this study was approved by the Institutional Review Board (IRB No. 1-108-05-083) of the Tri-Service General Hospital (Taipei, Taiwan) and was registered at the US National Institute of Health Clinical Trials Registry (https://clinicaltrials.gov/ct2/show/NCT04884919 (accessed on 1 May 2021)). Each dressing was used to swab the wound incisions of patients undergoing abdominal surgery (n = 30) for 3, 5, and 10 min of manual compression. Each patient received two dressing treatments at the same time, and both dressings were applied to the same wound. One half of the wound was covered with the chitosan dressing and the other half with regular gauze. The dressings were then placed in jars containing 0.9% (w/v) normal saline for 1, 3, 5, and 10 min. The optical density of 1 mL of each solution was measured at 540 nm wavelength. Hemoglobin concentration was evaluated by interpolating from a standard curve of hemoglobin (H7379, Sigma-Aldrich; Merck KGaA, Darmstadt, Germany). The tests were conducted in triplicate.
3.6. Antimicrobial Test
Each dressing was used to swab wound incisions of patients undergoing abdominal surgery up to 8 d post-surgery. The number of bacteria in the dressings was evaluated using the ATP bioluminescence assay, expressed in relative fluorescence units (RFUs), using an ATP luminometer (LuciPac Pen PD 30, Kikkoman Biochemifa Co., Tokyo, Japan).
3.7. Phylogenetic Analysis by 16S-rRNA PCR Amplification and Sequencing
Each dressing in contact with wound incisions of patients undergoing abdominal surgery at days 1 and 6 post-surgery was collected and kept at 4 °C within an hour for genomic DNA isolation. Total DNA was isolated from the samples using the DNeasy Blood & Tissue kit (QIAGEN, Germany). Distinct regions (V3-V4) of 16S rRNA genes were amplified using the specific primers 16S V3+V4: 314F-806R with the barcode. All PCR reactions were carried out with the Phusion® High-Fidelity PCR Master Mix (New England Biolabs). Amplicon sequencing was then performed by using 300 bp paired-end raw reads, and all paired-end reads were assembled using FLASH v.1.2.7 [44]. As a quality control, low-quality reads (Q < 20) were discarded in the QIIME 1.9.1 pipeline [45]. To further increase the group distinction, the supervised partial-least-squares discriminant analysis (PLS-DA) was used to evaluate and visualize variance based on OTUs level of gut microbiota composition among the groups. PLS-DA was performed using the R package mixOmics.
3.8. Statistical Analysis
The data are presented as mean ± standard error of the mean. Data mean were compared by one-way ANOVA. The significance level was set at * p < 0.05, ** p < 0.01, and *** p < 0.001. Statistical calculations were performed using SPSS software version 21 (SPSS, Chicago, IL, USA). Significance of all species among groups at various taxonomic level were detected using differential abundance analysis with a zero-inflated Gussian (ZIG) log-normal model as implemented in the “fitFeatureModel” function of the Bioconductor metagenomeSeq package [46]. ANOSIM and MRPP analysis were used to determine whether the community structures significantly differ among and within groups.
4. Conclusions
In summary, our findings reveal the superior procoagulant and antimicrobial properties of chitosan dressing compared to regular gauze-type surgical dressing in patients with surgical wounds. The chitosan dressing protected the wound from potential infection by microbes such as staphylococci, Enterococcus spp., Enterobacter spp., and Parabacteroides, as well as improved the composition of probiotic microbes, including Prevotella, Lactobacillus, and Oscillibacter, for stimulating skin immunity and wound healing. These findings suggest that chitosan dressing not only acts as an effective antimicrobial and procoagulant but also promotes wound repair by providing beneficial microbiota. Hence, chitosan dressing could be suitable as a first-line intervention for wound management.
Acknowledgments
The authors thank Dewi Sartika and Fasya Khuzaimah for the technical help provided in the Laboratory of Stem Cell and Tissue Regeneration of the National Defense Medical Center.
Abbreviations
ECM | Extracellular matrix |
PT | Prothrombin time |
aPTT | Activated partial thromboplastin time |
ATP | Adenosine triphosphate |
PLS-DA | Partial least squares discriminant analysis |
FTIR | Fourier transform infra-red |
SEM | Scanning electron microscopy |
DMSO | Dimethyl sulfoxide |
RFU | Relative fluorescence units |
DNA | Deoxyribonucleic acid |
rRNA | Ribosomal ribonucleic acid |
PCR | Polymerase chain reaction |
ANOVA | Analysis of variance |
ANOSIM | Analysis of similarities |
MRPP | Multiple Response Permutation Procedures |
DMEM | Dulbecco’s modified Eagle’s medium |
PBS | Phosphate-buffered saline |
Author Contributions
Conceptualization, C.-H.W. and J.-H.C.; Methodology, T.-J.F. and J.-H.C.; Software, T.-J.F. and S.-J.C.; Validation, C.-H.W. and C.-C.L.; Formal Analysis, T.-J.F.; Investigation, C.-H.W., S.-D.H., Z.-J.H., and G.-Y.F.; Resources, S.-D.H. and Z.-J.H.; Data Curation, C.-C.L.; Writing-Original Draft Preparation, C.-H.W.; Writing-Review & Editing, J.-H.C. and S.-J.C.; Visualization, C.-C.L.; Supervision, J.-H.C. and S.-D.H.; Project Administration, G.-Y.F. and S.-J.C.; Funding Acquisition, J.-H.C. and S.-D.H. All authors have read and agreed to the published version of the manuscript.
Funding
This study was funded by the Ministry of National Defense-Medical Affairs Bureau (grant number: MAB-109-079; MND-MAB-110-046; MND-MAB-110-074) and Tri-Service General Hospital program (grant number: TSGH-D109141; TSGH-E-109233).
Institutional Review Board Statement
The study was conducted according to the guidelines of the Declaration of Helsinki and approved by the Institutional Review Board of the Tri-Service General Hospital, Taipei, Taiwan (R.O.C.) (IRB No. 1-108-05-083, 10 May 2019).
Informed Consent Statement
Informed consent was obtained from all participants involved in the study.
Data Availability Statement
Data are available upon request.
Conflicts of Interest
The authors declare no conflict of interest.
Footnotes
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.
References
- 1.Oryan A., Alidadi S., Moshiri A., Maffulli N. Bone regenerative medicine: Classic options, novel strategies, and future directions. J. Orthop. Surg. Res. 2014;9:18. doi: 10.1186/1749-799X-9-18. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Sivashankari P.R., Prabaharan M. Prospects of chitosan-based scaffolds for growth factor release in tissue engineering. Int. J. Biol. Macromol. 2016;93:1382–1389. doi: 10.1016/j.ijbiomac.2016.02.043. [DOI] [PubMed] [Google Scholar]
- 3.Sultankulov B., Berillo D., Sultankulova K., Tokay T., Saparov A. Progress in the Development of Chitosan-Based Biomaterials for Tissue Engineering and Regenerative Medicine. Biomolecules. 2019;9:470. doi: 10.3390/biom9090470. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Celikkin N., Rinoldi C., Costantini M., Trombetta M., Rainer A., Święszkowski W. Naturally derived proteins and glycosaminoglycan scaffolds for tissue engineering applications. Mater. Sci. Eng. C. 2017;78:1277–1299. doi: 10.1016/j.msec.2017.04.016. [DOI] [PubMed] [Google Scholar]
- 5.Tharanathan R.N., Kittur F.S. Chitin—the undisputed biomolecule of great potential. Crit. Rev. Food Sci. Nutr. 2003;43:61–87. doi: 10.1080/10408690390826455. [DOI] [PubMed] [Google Scholar]
- 6.He Q., Gong K., Ao Q., Ma T., Yan Y., Gong Y., Zhang X. Positive charge of chitosan retards blood coagulation on chitosan films. J. Biomater. Appl. 2013;27:1032–1045. doi: 10.1177/0885328211432487. [DOI] [PubMed] [Google Scholar]
- 7.Jayakumar R., Prabaharan M., Kumar P.T.S., Nair S.V., Tamura H. Biomaterials based on chitin and chitosan in wound dressing applications. Biotechnol. Adv. 2011;29:322–337. doi: 10.1016/j.biotechadv.2011.01.005. [DOI] [PubMed] [Google Scholar]
- 8.Liu H., Wang C., Li C., Qin Y., Wang Z., Yang F., Li Z., Wang J. A functional chitosan-based hydrogel as a wound dressing and drug delivery system in the treatment of wound healing. RSC Adv. 2018;8:7533–7549. doi: 10.1039/C7RA13510F. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Grifoll-Romero L., Pascual S., Aragunde H., Biarnés X., Planas A. Chitin Deacetylases: Structures, Specificities, and Biotech Applications. Polymers. 2018;10:352. doi: 10.3390/polym10040352. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Clark R.A.F. In: Principles of Tissue Engineering: Wound Repair: Basic Biology to Tissue Engineering. 3rd ed. Lanza R., Langer R., Vacanti J., editors. Academic Press; San Diego, CA, USA: 1997. pp. 1149–1166. [Google Scholar]
- 11.Healy B., Freedman A. Infections. BMJ. 2006;332:838–841. doi: 10.1136/bmj.332.7545.838. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Gould I.M., David M.Z., Esposito S., Garau J., Lina G., Mazzei T., Peters G. New insights into meticillin-resistant Staphylococcus aureus (MRSA) pathogenesis, treatment and resistance. Int. J. Antimicrob. Agents. 2012;39:96–104. doi: 10.1016/j.ijantimicag.2011.09.028. [DOI] [PubMed] [Google Scholar]
- 13.Abdelrahman T., Newton H. Wound dressings: Principles and practice. Surgery. 2011;29:491–495. doi: 10.1016/j.mpsur.2011.06.007. [DOI] [Google Scholar]
- 14.Potara M., Jakab E., Damert A., Popescu O., Canpean V., Astilean S. Synergistic antibacterial activity of chitosan-silver nanocomposites on Staphylococcus aureus. Nanotechnology. 2011;22:135101. doi: 10.1088/0957-4484/22/13/135101. [DOI] [PubMed] [Google Scholar]
- 15.Ing L.Y., Zin N.M., Sarwar A., Katas H. Antifungal activity of chitosan nanoparticles and correlation with their physical properties. Int. J. Biomater. 2012;2012:63269. doi: 10.1155/2012/632698. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Landriscina A., Rosen J., Friedman A.J. Biodegradable chitosan nanoparticles in drug delivery for infectious disease. Nanomedicine. 2015;10:1609–1619. doi: 10.2217/nnm.15.7. [DOI] [PubMed] [Google Scholar]
- 17.Matica M.A., Aachmann F.L., Tøndervik A., Sletta H., Ostafe V. Chitosan as a Wound Dressing Starting Material: Antimicrobial Properties and Mode of Action. Int. J. Mol. Sci. 2019;20:5889. doi: 10.3390/ijms20235889. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Dai T., Tanaka M., Huang Y.Y., Hamblin M.R. Chitosan preparations for wounds and burns: Antimicrobial and wound-healing effects. Expert Rev. Anti Infect. Ther. 2011;9:857–879. doi: 10.1586/eri.11.59. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Wang Y.W., Liu C.C., Cherng J.H., Lin C.S., Chang S.J., Hong Z.J., Liu C.C., Chiu Y.K., Hsu S.D., Chang A.H. Biological effects of chitosan-based dressing on hemostasis mechanism. Polymers. 2019;11:1906. doi: 10.3390/polym11111906. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Kong M., Chen X.G., Xing K., Park H.J. Antimicrobial properties of chitosan and mode of action: A state of the art review. Int. J. Food Microbiol. 2010;144:51–63. doi: 10.1016/j.ijfoodmicro.2010.09.012. [DOI] [PubMed] [Google Scholar]
- 21.Wang Y.H., Liu C.C., Cherng J.H., Fan G.Y., Wang Y.W., Chang S.J., Hong Z.J., Lin Y.C., Hsu S.D. Evaluation of chitosan-based dressings in a swine model of artery-injury-related shock. Sci. Rep. 2019;9:14608. doi: 10.1038/s41598-019-51208-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Khan W.S., Pyarasani S., Asmatulu R. Reinforcing antibacterial hydrogels through electrospun nanofiber layers for soft tissue engineering. J. Polym. Res. 2020;27:380. doi: 10.1007/s10965-020-02354-4. [DOI] [Google Scholar]
- 23.Menezes J.E.S.A., dos Santosa H.S., Ferreira M.K.A., Magalhães F.E.A., da Silva D.S., Bandeira P.N., Saraiva G.D., Pessoa O.D.L., Ricardo N.M.P.S., Cruz B.G., et al. Preparation, structural and spectroscopic characterization of chitosan membranes containing allantoin. J. Mol. Struct. 2020;1199:126968. doi: 10.1016/j.molstruc.2019.126968. [DOI] [Google Scholar]
- 24.Poonguzhali R., Basha S.K., Kumari V.S. Synthesis and characterization of chitosan-PVP-nanocellulose composites for in-vitro wound dressing application. Int. J. Biol. Macromol. 2017;105:111–120. doi: 10.1016/j.ijbiomac.2017.07.006. [DOI] [PubMed] [Google Scholar]
- 25.Fernandes Queiroz M., Melo K.R., Sabry D.A., Sassaki G.L., Rocha H.A. Does the use of chitosan contribute to oxalate kidney stone formation? Mar. Drugs. 2014;13:141–158. doi: 10.3390/md13010141. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Zahedi P., Rezaeian I., Ranaei-Siadat S.-O., Jafari S.-H., Supaphol P. A review on wound dressings with an emphasis on electrospun nanofibrous polymeric bandages. Polym. Adv. Technol. 2010;21:77–95. doi: 10.1002/pat.1625. [DOI] [Google Scholar]
- 27.Monroe D.M., Hoffman M. The clotting system—A major player in wound healing. Haemophilia. 2012;18:11–16. doi: 10.1111/j.1365-2516.2012.02889.x. [DOI] [PubMed] [Google Scholar]
- 28.Raber M.N. Coagulation Tests. In: Walker H.K., Hall W.D., Hurst J.W., editors. Clinical Methods: The History, Physical, and Laboratory Examinations. 3rd ed. Butterworths; Boston, MA, USA: 1990. pp. 1–13. [PubMed] [Google Scholar]
- 29.de Lima J.M., Sarmento R.R., de Souza J.R., Brayner F.A., Feitosa A.P., Padilha R., Alves L.C., Porto I.J., Batista R.F., de Oliveira J.E., et al. Evaluation of hemagglutination activity of chitosan nanoparticles using human erythrocytes. Biomed. Res. Int. 2015;2015:247965. doi: 10.1155/2015/247965. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Chen L., Tianqing L. Interaction behaviors between chitosan and hemoglobin. Int. J. Biol. Macromol. 2008;42:441–446. doi: 10.1016/j.ijbiomac.2008.02.005. [DOI] [PubMed] [Google Scholar]
- 31.Okamoto Y., Yano R., Miyatake K., Tomohiro I., Shigemasa Y., Minami S. Effects of chitin and chitosan on blood coagulation. Carbohydr. Polym. 2003;53:337–342. doi: 10.1016/S0144-8617(03)00076-6. [DOI] [Google Scholar]
- 32.Percival S.L. Importance of biofilm formation in surgical infection. Br. J. Surg. 2017;104:e85–e94. doi: 10.1002/bjs.10433. [DOI] [PubMed] [Google Scholar]
- 33.Bowler P.G., Duerden B.I., Armstrong D.G. Wound microbiology and associated approaches to wound management. Clin. Microbiol. Rev. 2001;14:244–269. doi: 10.1128/CMR.14.2.244-269.2001. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Li P., Poon Y.F., Li W., Zhu H.Y., Yeap S.H., Cao Y., Qi X., Zhou C., Lamrani M., Beuerman R.W., et al. A polycationic antimicrobial and biocompatible hydrogel with microbe membrane suctioning ability. Nat. Mater. 2011;10:149–156. doi: 10.1038/nmat2915. [DOI] [PubMed] [Google Scholar]
- 35.Raafat D., von Bargen K., Haas A., Sahl H.G. Insights into the mode of action of chitosan as an antibacterial compound. Appl. Environ. Microbiol. 2008;74:3764–3773. doi: 10.1128/AEM.00453-08. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Rajkumari N., Mathur P., Misra M.C. Soft Tissue and Wound Infections Due to Enterococcus spp. Among Hospitalized Trauma Patients in a Developing Country. J. Glob. Infect. Dis. 2014;6:189–193. doi: 10.4103/0974-777X.145253. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Mangram A.J., Horan T.C., Pearson M.L., Silver L.C., Jarvis W.R. Guideline for Prevention of Surgical Site Infection, 1999. Centers for Disease Control and Prevention (CDC) Hospital Infection Control Practices Advisory Committee. Am. J. Infect. Control. 1999;27:97–132. doi: 10.1016/S0196-6553(99)70088-X. [DOI] [PubMed] [Google Scholar]
- 38.Nagy E., Urbán E., Nord C.E. ESCMID Study Group on Antimicrobial Resistance in Anaerobic Bacteria. Antimicrobial susceptibility of Bacteroides fragilis group isolates in Europe: 20 years of experience. Clin. Microbiol. Infect. 2011;17:371–379. doi: 10.1111/j.1469-0691.2010.03256.x. [DOI] [PubMed] [Google Scholar]
- 39.Tsiouris C.G., Tsiouri M.G. Human microflora, probiotics and wound healing. Wound Med. 2017;19:33–38. doi: 10.1016/j.wndm.2017.09.006. [DOI] [Google Scholar]
- 40.Reid G., Jass J., Sebulsky M.T., McCormick J.K. Potential uses of probiotics in clinical practice. Clin. Microbiol. Rev. 2003;16:658–672. doi: 10.1128/CMR.16.4.658-672.2003. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41.Singh D., Lee C.H. Intraspecies Volatile Interactions Affect Growth Rates and Exometabolomes in Aspergillus oryzae KCCM 60345. J. Microbiol. Biotechnol. 2018;28:199–209. doi: 10.4014/jmb.1711.11005. [DOI] [PubMed] [Google Scholar]
- 42.Hou L., Wang J., Zhang W., Quan R., Wang D., Zhu S., Jiang H., Wei L., Liu J. Dynamic Alterations of Gut Microbiota in Porcine Circovirus Type 3-Infected Piglets. Front. Microbiol. 2020;11:1360. doi: 10.3389/fmicb.2020.01360. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43.Chijiiwa R., Hosokawa M., Kogawa M., Nishikawa Y., Ide K., Sakanashi C., Takahashi K., Takeyama H. Single-cell genomics of uncultured bacteria reveals dietary fiber responders in the mouse gut microbiota. Microbiome. 2020;8:5. doi: 10.1186/s40168-019-0779-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44.Magoč T., Salzberg S.L. FLASH: Fast length adjustment of short reads to improve genome assemblies. Bioinformatics. 2011;27:2957–2963. doi: 10.1093/bioinformatics/btr507. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45.Caporaso J.G., Kuczynski J., Stombaugh J., Bittinger K., Bushman F.D., Costello E.K., Fierer N., Peña A.G., Goodrich J.K., Gordon J.I., et al. QIIME allows analysis of high-throughput community sequencing data. Nat. Methods. 2010;7:335–336. doi: 10.1038/nmeth.f.303. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 46.Paulson J.N., Stine O.C., Bravo H.C., Pop M. Differential abundance analysis for microbial marker-gene surveys. Nat. Methods. 2013;10:1200–1202. doi: 10.1038/nmeth.2658. [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Data Availability Statement
Data are available upon request.