Wound healing in aged skin exhibits systems-level alterations in cellular composition and cell-cell communication
Ontology highlight
ABSTRACT:
ORGANISM(S): Mus musculus
PROVIDER: GSE188432 | GEO | 2022/08/02
REPOSITORIES: GEO
Similar Datasets
Project description:Ageing-related delays in wound healing are well-documented in both human and animal models. However, the mechanisms underlying this impairment in healing progression are not fully understood. In this study, we characterised ageing-associated changes to the structure and function of the skin in young and aged mice and investigated the cellular differences that impacted the progression of wound healing. Full-thickness wounds created on the dorsum of C57BL/6J young and aged mice were excised on Day 0, Day 3 and Day 7 post-wounding for analysis by immunohistochemistry, flow cytometry, RNA sequencing. Our data revealed that macrophages were significantly reduced in aged wounds in comparison to young. Functional transcriptomic analyses showed that macrophages from aged wounds exhibited significantly reduced expression of cell cycle, DNA replication, and repair pathway genes. Furthermore, we uncovered an elevated pro-inflammatory gene expression program in the aged macrophages linked to poor inflammation resolution and excessive tissue damage observed in aged wounds. Altogether, our work provides insights into how poorly healing aged wounds are phenotypically defined by the presence of macrophages with reduced proliferative capacity and an exacerbated inflammatory response, both of which are pathways that can be targeted to improve healing in the elderly.
2022-06-24 | GSE199763 | GEO
Project description:The present study aimed to investigate the role of Thbs4 in skin regeneration and elucidate its effects on cellular responses. Here we show that Thbs4 expression is upregulated in healing skin wounds and wound healing can be promoted by the application of recombinant Thbs4 protein. Thbs4 was shown to promote keratinocyte proliferation and fibroblast migration by activating β-catenin signalling cascade. This indicates that incorporating Thbs4 into novel wound healing therapies can be a promising therapeutic strategy for hard-to-heal chronic wounds.
2021-10-13 | GSE179969 | GEO
Project description:Defective fibroblast migration cause delayed wound healing (WH) and chronic skin lesions. Autologous micrograft (AMG) therapies have recently emerged as a new effective treatment able to improve wound healing capacity. However, the molecular mechanisms connecting their beneficial outcomes with the wound healing process are still unrevealed. Here, we show that AMG modulates primary fibroblast migration and accelerates skin re-epithelialization without affecting cell proliferation. We demonstrate that AMG is enriched in a pool of WH-associated growth factors that may provide the initiation signal for faster endogenous wound healing response. This, in turn leads to increased cell migration rate by elevating activity of ERK and subsequent activation of matrix metalloproteinase expression and their extracellular enzymatic activity. Moreover, AMG-treated wounds showed increased granulation tissue formation and organized collagen content. Overall, we shed light on AMG molecular mechanism supporting its potential to trigger highly improved wound healing process.
2020-01-01 | GSE123829 | GEO
Project description:In adult mammals, skin wound healing has evolved to favor rapid repair through formation of fibrotic scar. Consequently, skin wounds are dysfunctional and lead to chronic disfigurement and disability, yet the biologic mechanisms that drive fibrosis and prevent tissue regeneration remain unknown. Here, we report that reindeer (Rangifer tarandus) antler velvet exhibits regenerative wound healing, whereas identical full-thickness injury in dorsal back skin forms fibrotic scar. This regenerative capacity is retained even following ectopic transplantation of velvet to a scar-forming site, demonstrating that this latent regenerative capacity is innate to velvet cells and independent of local factors derived from the growing antler. Single cell RNA-sequencing of uninjured skin revealed a marked divergence in resting fibroblast transcriptional states and immunomodulatory function. Uninjured velvet fibroblast shared a striking resemblance with human fetal fibroblasts whereas uninjured back skin fibroblasts exhibited an overrepresentation of pro-inflammatory genes resembling adult human fibroblasts. Identical skin injury resulted in site-specific fibroblast polarization; back fibroblasts exacerbated the inflammatory response, whereas velvet fibroblasts adopted an immunosuppressive state and reverted back to a regeneration-competent ground state. Consequently, velvet wounds exhibited reduced immune infiltrate, accelerated adoption of anti-inflammatory immune states and expedited resolution of immune response. This study demonstrates reindeer as a novel mammalian model to study adult skin regeneration (velvet) and scar formation (back skin) within the same animal. Our study underscores the importance of fibroblast heterogeneity in shaping local immune cell functions that ultimately polarize wound healing outcomes. Purposeful, acute modulation of fibroblast-mediated immune signaling represents an important therapeutic avenue to mitigate scar and improve wound healing.
2022-12-08 | GSE168746 | GEO
Project description:Effective therapy of wounds is difficult, especially for chronic, non-healing wounds, and novel therapeutics are urgently needed. This challenge can be addressed with bioactive wound dressings providing a microenvironment and facilitating cell proliferation and migration, ideally incorporating actives which initiate and/or progress effective healing upon release. In this context, electrospun scaffolds loaded with growth factors emerged as promising wound dressings due to their biocompatibility, similarity to the extracellular matrix and potential for controlled drug release. In this study, electrospun core-shell fibers were designed composed of a combination of polycaprolactone and polyethylene oxide. Insulin, a proteohormon with growth factor characteristics, was successfully incorporated into the core and was released in a controlled manner. The fibers exhibited favorable mechanical properties and a surface guiding cell migration for wound closure in combination with a high uptake capacity for wound exudate. Biocompatibility and significant wound healing effects were shown in interaction studies with human skin cells. As a new approach, analysis of the wound proteome in treated ex vivo human skin wounds clearly demonstrated a remarkable increase in wound healing biomarkers. Based on these findings, insulin-loaded electrospun wound dressings bear a high potential as effective wound healing therapeutics overcoming current challenges in the clinics.
2022-12-19 | PXD034076 | Pride
Project description:This a model from the article:
Modeling the effects of treating diabetic wounds with engineered skin
substitutes.
Waugh HV, Sherratt JA. Wound Repair Regen
2007 Jul-Aug;15(4):556-65 17650100
,
Abstract:
In this paper, a novel mathematical model of wound healing in both normal and
diabetic cases is presented, focusing upon the effects of adding two currently
available commercial engineered skin substitute therapies to the wound
(Apligraf) and Dermagraft). Our work extends a previously developed model, which
considers inflammatory and repair macrophage dynamics in normal and diabetic
wound healing. Here, we extend the model to include equations for
platelet-derived growth factor concentration, fibroblast density, collagen
density, and hyaluronan concentration. This enables us to examine the variation
of these components in both normal and diabetic wound healing cases, and to
model the treatment protocols of these therapies. Within the context of our
model, we find that the key component to successful healing in diabetic wounds
is hyaluronan and that the therapies work by increasing the amount of hyaluronan
available in the wound environment. The time-to-healing results correlate with
those observed in clinical trials and the model goes some way to establishing an
understanding of why diabetic wounds do not heal, and how these treatments
affect the diabetic wound environment to promote wound closure.
This model was taken from the CellML repository
and automatically converted to SBML.
The original model was:
Waugh HV, Sherratt JA. (2007) - version=1.0
The original CellML model was created by:
Catherine Lloyd
c.lloyd@auckland.ac.nz
The University of Auckland
This model originates from BioModels Database: A Database of Annotated Published Models (http://www.ebi.ac.uk/biomodels/). It is copyright (c) 2005-2011 The BioModels.net Team.
To the extent possible under law, all copyright and related or neighbouring rights to this encoded model have been dedicated to the public domain worldwide. Please refer to CC0 Public Domain Dedication
for more information.
In summary, you are entitled to use this encoded model in absolutely any manner you deem suitable, verbatim, or with modification, alone or embedded it in a larger context, redistribute it, commercially or not, in a restricted way or not..
To cite BioModels Database, please use: Li C, Donizelli M, Rodriguez N, Dharuri H, Endler L, Chelliah V, Li L, He E, Henry A, Stefan MI, Snoep JL, Hucka M, Le Novère N, Laibe C (2010) BioModels Database: An enhanced, curated and annotated resource for published quantitative kinetic models. BMC Syst Biol., 4:92.
2005-01-01 | MODEL1006230106 | BioModels
Project description:This a model from the article:
Modeling the effects of treating diabetic wounds with engineered skin
substitutes.
Waugh HV, Sherratt JA. Wound Repair Regen
2007 Jul-Aug;15(4):556-65 17650100
,
Abstract:
In this paper, a novel mathematical model of wound healing in both normal and
diabetic cases is presented, focusing upon the effects of adding two currently
available commercial engineered skin substitute therapies to the wound
(Apligraf) and Dermagraft). Our work extends a previously developed model, which
considers inflammatory and repair macrophage dynamics in normal and diabetic
wound healing. Here, we extend the model to include equations for
platelet-derived growth factor concentration, fibroblast density, collagen
density, and hyaluronan concentration. This enables us to examine the variation
of these components in both normal and diabetic wound healing cases, and to
model the treatment protocols of these therapies. Within the context of our
model, we find that the key component to successful healing in diabetic wounds
is hyaluronan and that the therapies work by increasing the amount of hyaluronan
available in the wound environment. The time-to-healing results correlate with
those observed in clinical trials and the model goes some way to establishing an
understanding of why diabetic wounds do not heal, and how these treatments
affect the diabetic wound environment to promote wound closure.
This model was taken from the CellML repository
and automatically converted to SBML.
The original model was:
Waugh HV, Sherratt JA. (2007) - version=1.0
The original CellML model was created by:
Catherine Lloyd
c.lloyd@auckland.ac.nz
The University of Auckland
This model originates from BioModels Database: A Database of Annotated Published Models (http://www.ebi.ac.uk/biomodels/). It is copyright (c) 2005-2011 The BioModels.net Team.
To the extent possible under law, all copyright and related or neighbouring rights to this encoded model have been dedicated to the public domain worldwide. Please refer to CC0 Public Domain Dedication
for more information.
In summary, you are entitled to use this encoded model in absolutely any manner you deem suitable, verbatim, or with modification, alone or embedded it in a larger context, redistribute it, commercially or not, in a restricted way or not..
To cite BioModels Database, please use: Li C, Donizelli M, Rodriguez N, Dharuri H, Endler L, Chelliah V, Li L, He E, Henry A, Stefan MI, Snoep JL, Hucka M, Le Novère N, Laibe C (2010) BioModels Database: An enhanced, curated and annotated resource for published quantitative kinetic models. BMC Syst Biol., 4:92.
2005-01-01 | MODEL1006230102 | BioModels
Project description:This a model from the article:
Modeling the effects of treating diabetic wounds with engineered skin
substitutes.
Waugh HV, Sherratt JA. Wound Repair Regen
2007 Jul-Aug;15(4):556-65 17650100
,
Abstract:
In this paper, a novel mathematical model of wound healing in both normal and
diabetic cases is presented, focusing upon the effects of adding two currently
available commercial engineered skin substitute therapies to the wound
(Apligraf) and Dermagraft). Our work extends a previously developed model, which
considers inflammatory and repair macrophage dynamics in normal and diabetic
wound healing. Here, we extend the model to include equations for
platelet-derived growth factor concentration, fibroblast density, collagen
density, and hyaluronan concentration. This enables us to examine the variation
of these components in both normal and diabetic wound healing cases, and to
model the treatment protocols of these therapies. Within the context of our
model, we find that the key component to successful healing in diabetic wounds
is hyaluronan and that the therapies work by increasing the amount of hyaluronan
available in the wound environment. The time-to-healing results correlate with
those observed in clinical trials and the model goes some way to establishing an
understanding of why diabetic wounds do not heal, and how these treatments
affect the diabetic wound environment to promote wound closure.
This model was taken from the CellML repository
and automatically converted to SBML.
The original model was:
Waugh HV, Sherratt JA. (2007) - version=1.0
The original CellML model was created by:
Catherine Lloyd
c.lloyd@auckland.ac.nz
The University of Auckland
This model originates from BioModels Database: A Database of Annotated Published Models (http://www.ebi.ac.uk/biomodels/). It is copyright (c) 2005-2011 The BioModels.net Team.
To the extent possible under law, all copyright and related or neighbouring rights to this encoded model have been dedicated to the public domain worldwide. Please refer to CC0 Public Domain Dedication
for more information.
In summary, you are entitled to use this encoded model in absolutely any manner you deem suitable, verbatim, or with modification, alone or embedded it in a larger context, redistribute it, commercially or not, in a restricted way or not..
To cite BioModels Database, please use: Li C, Donizelli M, Rodriguez N, Dharuri H, Endler L, Chelliah V, Li L, He E, Henry A, Stefan MI, Snoep JL, Hucka M, Le Novère N, Laibe C (2010) BioModels Database: An enhanced, curated and annotated resource for published quantitative kinetic models. BMC Syst Biol., 4:92.
2005-01-01 | MODEL1006230003 | BioModels
Project description:This a model from the article:
Modeling the effects of treating diabetic wounds with engineered skin
substitutes.
Waugh HV, Sherratt JA. Wound Repair Regen
2007 Jul-Aug;15(4):556-65 17650100
,
Abstract:
In this paper, a novel mathematical model of wound healing in both normal and
diabetic cases is presented, focusing upon the effects of adding two currently
available commercial engineered skin substitute therapies to the wound
(Apligraf) and Dermagraft). Our work extends a previously developed model, which
considers inflammatory and repair macrophage dynamics in normal and diabetic
wound healing. Here, we extend the model to include equations for
platelet-derived growth factor concentration, fibroblast density, collagen
density, and hyaluronan concentration. This enables us to examine the variation
of these components in both normal and diabetic wound healing cases, and to
model the treatment protocols of these therapies. Within the context of our
model, we find that the key component to successful healing in diabetic wounds
is hyaluronan and that the therapies work by increasing the amount of hyaluronan
available in the wound environment. The time-to-healing results correlate with
those observed in clinical trials and the model goes some way to establishing an
understanding of why diabetic wounds do not heal, and how these treatments
affect the diabetic wound environment to promote wound closure.
This model was taken from the CellML repository
and automatically converted to SBML.
The original model was:
Waugh HV, Sherratt JA. (2007) - version=1.0
The original CellML model was created by:
Catherine Lloyd
c.lloyd@auckland.ac.nz
The University of Auckland
This model originates from BioModels Database: A Database of Annotated Published Models (http://www.ebi.ac.uk/biomodels/). It is copyright (c) 2005-2011 The BioModels.net Team.
To the extent possible under law, all copyright and related or neighbouring rights to this encoded model have been dedicated to the public domain worldwide. Please refer to CC0 Public Domain Dedication
for more information.
In summary, you are entitled to use this encoded model in absolutely any manner you deem suitable, verbatim, or with modification, alone or embedded it in a larger context, redistribute it, commercially or not, in a restricted way or not..
To cite BioModels Database, please use: Li C, Donizelli M, Rodriguez N, Dharuri H, Endler L, Chelliah V, Li L, He E, Henry A, Stefan MI, Snoep JL, Hucka M, Le Novère N, Laibe C (2010) BioModels Database: An enhanced, curated and annotated resource for published quantitative kinetic models. BMC Syst Biol., 4:92.
2005-01-01 | MODEL1006230099 | BioModels
Project description:When compared to skin, oral mucosal wounds heal rapidly and with reduced scar formation. This study used an Affymetrix microarray platform to compare the transcriptomes of oral mucosa and skin wounds in order to identify critical differences in the healing response at these two sites. Using microarrays, we explored the differences in gene expression in skin and oral mucosal wound healing in a murine model of paired equivalent-sized wounds. Samples were examined from day 0 to day 10 and spanned all stages of the wound healing process. Unwounded matched tissue was used as a control. Tissue samples collected at each post-wounding time point, as well as control samples, were represented by 3 biological replicates.
2010-07-20 | E-GEOD-23006 | biostudies-arrayexpress