Literature DB >> 25032070

The Wound Microbiome: Modern Approaches to Examining the Role of Microorganisms in Impaired Chronic Wound Healing.

Ana M Misic1, Sue E Gardner2, Elizabeth A Grice1.   

Abstract

Significance: Bacterial burden is believed to play a significant role in impaired wound healing of chronic wounds and the development of infection-related complications. The standard of care in the clinic relies upon cultivation-dependent methods to identify microorganisms. These assays are biased toward microorganisms that thrive in isolation under laboratory conditions. Recent Advances: Significant advances in genomic technologies have enabled less-biased, culture-independent approaches to characterize microbial communities, or microbiomes. The aggregate sequencing and analysis of 16S ribosomal RNA genes has demonstrated that cultures under-represent true microbial diversity and load. Critical Issues: Despite recent advances that enable culture-independent analyses of microbiomes, those organisms that are important in impaired healing remain ambiguous. Inconsistent findings across various studies highlight the need to characterize microbiomes of chronic wounds with homogenous etiology to determine differences in microbiomes that may be driven by the wound environment and that may affect wound outcomes. Rigorous analyses of wound microbiomes in light of the three dimensions of bioburden (microbial diversity, microbial load, and pathogenic organisms), clinical metadata, and wound outcomes will be a significant step forward in our quest to understand the role of microorganisms in impaired healing. Future Directions: Longitudinal studies employing serial sampling are needed to appreciate the role of the dynamic microbial community in chronic wound healing. The value of clinical metadata needs to be examined as potential biomarkers of problematic microbiota and wound outcomes. Lastly, better characterization and understanding of wound microbiomes will open avenues for improved diagnostic and therapeutic tools for the nonhealing wound.

Entities:  

Year:  2014        PMID: 25032070      PMCID: PMC4086514          DOI: 10.1089/wound.2012.0397

Source DB:  PubMed          Journal:  Adv Wound Care (New Rochelle)        ISSN: 2162-1918            Impact factor:   4.730


  30 in total

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6.  The importance of a multifaceted approach to characterizing the microbial flora of chronic wounds.

Authors:  Anne Han; Jonathan M Zenilman; Johan H Melendez; Mark E Shirtliff; Alessandra Agostinho; Garth James; Philip S Stewart; Emmanuel F Mongodin; Dhana Rao; Alexander H Rickard; Gerald S Lazarus
Journal:  Wound Repair Regen       Date:  2011 Sep-Oct       Impact factor: 3.617

7.  Diabetic neuropathic foot ulcers: predicting which ones will not heal.

Authors:  David J Margolis; Lynne Allen-Taylor; Ole Hoffstad; Jesse A Berlin
Journal:  Am J Med       Date:  2003-12-01       Impact factor: 4.965

8.  Hemoglobin A1c predicts healing rate in diabetic wounds.

Authors:  Andrea L Christman; Elizabeth Selvin; David J Margolis; Gerald S Lazarus; Luis A Garza
Journal:  J Invest Dermatol       Date:  2011-06-23       Impact factor: 8.551

9.  Evaluation of the bacterial diversity among and within individual venous leg ulcers using bacterial tag-encoded FLX and titanium amplicon pyrosequencing and metagenomic approaches.

Authors:  Randall D Wolcott; Viktoria Gontcharova; Yan Sun; Scot E Dowd
Journal:  BMC Microbiol       Date:  2009-10-27       Impact factor: 3.605

10.  The neuropathic diabetic foot ulcer microbiome is associated with clinical factors.

Authors:  Sue E Gardner; Stephen L Hillis; Kris Heilmann; Julia A Segre; Elizabeth A Grice
Journal:  Diabetes       Date:  2012-11-08       Impact factor: 9.461

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  41 in total

1.  [Wound healing in the elderly].

Authors:  S A Eming; M Wlaschek; K Scharffetter-Kochanek
Journal:  Hautarzt       Date:  2016-02       Impact factor: 0.751

2.  Use of 16S rRNA sequencing and quantitative PCR to correlate venous leg ulcer bacterial bioburden dynamics with wound expansion, antibiotic therapy, and healing.

Authors:  Daniel D Sprockett; Christine G Ammons; Marie S Tuttle
Journal:  Wound Repair Regen       Date:  2015-06-24       Impact factor: 3.617

Review 3.  Next-Generation Sequencing: A Review of Technologies and Tools for Wound Microbiome Research.

Authors:  Brendan P Hodkinson; Elizabeth A Grice
Journal:  Adv Wound Care (New Rochelle)       Date:  2015-01-01       Impact factor: 4.730

4.  Surfactants: Role in biofilm management and cellular behaviour.

Authors:  Steven L Percival; Dieter Mayer; Robert S Kirsner; Greg Schultz; Dot Weir; Sashwati Roy; Afsaneh Alavi; Marco Romanelli
Journal:  Int Wound J       Date:  2019-03-18       Impact factor: 3.315

Review 5.  Shaping of cutaneous function by encounters with commensals.

Authors:  Emma Barnard; Huiying Li
Journal:  J Physiol       Date:  2016-04-13       Impact factor: 5.182

Review 6.  Augmenting Surgery via Multi-scale Modeling and Translational Systems Biology in the Era of Precision Medicine: A Multidisciplinary Perspective.

Authors:  Ghassan S Kassab; Gary An; Edward A Sander; Michael I Miga; Julius M Guccione; Songbai Ji; Yoram Vodovotz
Journal:  Ann Biomed Eng       Date:  2016-03-25       Impact factor: 3.934

7.  The microbiota of traumatic, open fracture wounds is associated with mechanism of injury.

Authors:  Casey Bartow-McKenney; Geoffrey D Hannigan; Joseph Horwinski; Patrick Hesketh; Annamarie D Horan; Samir Mehta; Elizabeth A Grice
Journal:  Wound Repair Regen       Date:  2018-09-20       Impact factor: 3.617

Review 8.  Biology and Biomarkers for Wound Healing.

Authors:  Linsey E Lindley; Olivera Stojadinovic; Irena Pastar; Marjana Tomic-Canic
Journal:  Plast Reconstr Surg       Date:  2016-09       Impact factor: 4.730

Review 9.  Metagenomics to Identify Pathogens in Diabetic Foot Ulcers and the Potential Impact for Clinical Care.

Authors:  Brian M Schmidt; John Erb-Downward; Piyush Ranjan; Robert Dickson
Journal:  Curr Diab Rep       Date:  2021-06-21       Impact factor: 4.810

Review 10.  Wound repair and regeneration: mechanisms, signaling, and translation.

Authors:  Sabine A Eming; Paul Martin; Marjana Tomic-Canic
Journal:  Sci Transl Med       Date:  2014-12-03       Impact factor: 17.956

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