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Study on skin infection model of Staphylococcus aureus based on analytic hierarchy process and Delphi method

PURPOSE: Infectious skin diseases are a type of inflammatory skin lesions caused by pathogenic microorganisms. Because of the uncertainty of methodology, the skin infection model usually have low replication rate and lack of good evaluation system. We aimed to establish multi-index and comprehensive...

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Autores principales: Liang, Jiaxin, Zou, Guofa, Gu, Chiming, Tao, Shuhong, Guo, Libing, Tang, Chunping, Zhang, Jinhong, Deng, Zujun, Chen, Yanfen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10241873/
https://www.ncbi.nlm.nih.gov/pubmed/37287617
http://dx.doi.org/10.1016/j.heliyon.2023.e16327
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author Liang, Jiaxin
Zou, Guofa
Gu, Chiming
Tao, Shuhong
Guo, Libing
Tang, Chunping
Zhang, Jinhong
Deng, Zujun
Chen, Yanfen
author_facet Liang, Jiaxin
Zou, Guofa
Gu, Chiming
Tao, Shuhong
Guo, Libing
Tang, Chunping
Zhang, Jinhong
Deng, Zujun
Chen, Yanfen
author_sort Liang, Jiaxin
collection PubMed
description PURPOSE: Infectious skin diseases are a type of inflammatory skin lesions caused by pathogenic microorganisms. Because of the uncertainty of methodology, the skin infection model usually have low replication rate and lack of good evaluation system. We aimed to establish multi-index and comprehensive evaluation method for Staphylococcus aureus (S.aureus) skin-infection models through Analytic hierarchy process (AHP) and Delphi method, and screen high quality animal models through it. MATERIALS AND METHODS: Firstly, the evaluation indicators of skin infection were collected basing on literature research. The weight of the evaluation indicators were decided according to AHP and Delphi method. Then different ulcer models (mouse or rat) infected by S. aureus were selected as the research objects. RESULTS: The evaluation indicators were classified into four groups of criteria (including ten sub-indicators) and given different weights, physical sign changes (0.0518), skin lesion appearance (0.2934), morphological observation (0.3184), etiological examination (0.3364). Through the evaluation system, we screened and found that the mouse ulcer model which caused by a round wound and 1.0 × 10(10) CFU/mL (0.1 mL) bacterial concentration got the highest comprehensive score, and also found that the model which caused by a 1.5 cm-round wound and 1.0 × 10(10) CFU/mL (0.2 mL) maybe the best rat ulcer model. CONCLUSIONS: This study has established an evaluation system based on AHP and Delphi method, also provided the best skin ulcer models selected by this system, the models are suitable for disease research and drug development research of skin ulcer.
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spelling pubmed-102418732023-06-07 Study on skin infection model of Staphylococcus aureus based on analytic hierarchy process and Delphi method Liang, Jiaxin Zou, Guofa Gu, Chiming Tao, Shuhong Guo, Libing Tang, Chunping Zhang, Jinhong Deng, Zujun Chen, Yanfen Heliyon Research Article PURPOSE: Infectious skin diseases are a type of inflammatory skin lesions caused by pathogenic microorganisms. Because of the uncertainty of methodology, the skin infection model usually have low replication rate and lack of good evaluation system. We aimed to establish multi-index and comprehensive evaluation method for Staphylococcus aureus (S.aureus) skin-infection models through Analytic hierarchy process (AHP) and Delphi method, and screen high quality animal models through it. MATERIALS AND METHODS: Firstly, the evaluation indicators of skin infection were collected basing on literature research. The weight of the evaluation indicators were decided according to AHP and Delphi method. Then different ulcer models (mouse or rat) infected by S. aureus were selected as the research objects. RESULTS: The evaluation indicators were classified into four groups of criteria (including ten sub-indicators) and given different weights, physical sign changes (0.0518), skin lesion appearance (0.2934), morphological observation (0.3184), etiological examination (0.3364). Through the evaluation system, we screened and found that the mouse ulcer model which caused by a round wound and 1.0 × 10(10) CFU/mL (0.1 mL) bacterial concentration got the highest comprehensive score, and also found that the model which caused by a 1.5 cm-round wound and 1.0 × 10(10) CFU/mL (0.2 mL) maybe the best rat ulcer model. CONCLUSIONS: This study has established an evaluation system based on AHP and Delphi method, also provided the best skin ulcer models selected by this system, the models are suitable for disease research and drug development research of skin ulcer. Elsevier 2023-05-16 /pmc/articles/PMC10241873/ /pubmed/37287617 http://dx.doi.org/10.1016/j.heliyon.2023.e16327 Text en © 2023 Published by Elsevier Ltd. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Research Article
Liang, Jiaxin
Zou, Guofa
Gu, Chiming
Tao, Shuhong
Guo, Libing
Tang, Chunping
Zhang, Jinhong
Deng, Zujun
Chen, Yanfen
Study on skin infection model of Staphylococcus aureus based on analytic hierarchy process and Delphi method
title Study on skin infection model of Staphylococcus aureus based on analytic hierarchy process and Delphi method
title_full Study on skin infection model of Staphylococcus aureus based on analytic hierarchy process and Delphi method
title_fullStr Study on skin infection model of Staphylococcus aureus based on analytic hierarchy process and Delphi method
title_full_unstemmed Study on skin infection model of Staphylococcus aureus based on analytic hierarchy process and Delphi method
title_short Study on skin infection model of Staphylococcus aureus based on analytic hierarchy process and Delphi method
title_sort study on skin infection model of staphylococcus aureus based on analytic hierarchy process and delphi method
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10241873/
https://www.ncbi.nlm.nih.gov/pubmed/37287617
http://dx.doi.org/10.1016/j.heliyon.2023.e16327
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