Development of LncRNAs expression signisure of STZ induced rats skin
Ontology highlight
ABSTRACT:
ORGANISM(S): Rattus norvegicus
PROVIDER: GSE214338 | GEO | 2022/09/29
REPOSITORIES: GEO
Similar Datasets
Project description:Chronic and non-healing skin wound is one of grievous complications of diabetes. In this study, we demonstrated a gas (carbon monoxide)-releasing hyaluronic acid hydrogel (i.e. COHAG) in promoting diabetic wound healing. Our results show that the COHAG significantly accelerated the healing process in diabtic rat full-thickness skin defect model, as compared with hydrogel without gas-releasing molecule and untreated group. Single-cell analysis of regenerating skin samples revealed that Cxcl14-overexpressing (Cxcl14+) fibroblast with progenitor properties are abundantly accumulated at the wound site after COHAG therapy.
2023-12-05 | GSE228235 | GEO
Project description:Chronic wounds are a common and costly complication of diabetes, where multifactorial defects contribute to dysregulated skin repair, inflammation, tissue damage, and infection. We previously showed that aspects of the diabetic foot ulcer microbiota were correlated with poor healing outcomes, but many microbial species recovered remain uninvestigated with respect to wound healing. Here we focused onAlcaligenes faecalis, a Gram-negative bacterium that is frequently recovered from chronic wounds but rarely causes infection. Treatment of diabetic wounds withA. faecalisaccelerated healing during early stages. We investigated the underlying mechanisms and found thatA. faecalistreatment promotes re-epithelialization of diabetic keratinocytes, a process which is necessary for healing but deficient in chronic wounds. Overexpression of matrix metalloproteinases in diabetes contributes to failed epithelialization, and we found thatA. faecalistreatment balances this overexpression to allow proper healing. This work uncovers a mechanism of bacterial-driven wound repair and provides a foundation for the development of microbiota-based wound interventions.
2024-03-30 | GSE261418 | GEO
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 | 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 | MODEL1006230099 | BioModels
Project description:Diabetic foot ulcers (DFU) are one of the major complications in type II diabetes patients and can result in amputation and morbidity. Although multiple approaches are used clinically to help wound closure, many patients still lack adequate treatment. Here we show that IL-20 subfamily cytokines are upregulated during normal wound healing. While there is a redundant role for each individual cytokine in this subfamily in wound healing, mice deficient in IL-22R, the common receptor chain for IL-20, IL-22, and IL-24, display a significant delay in wound healing. Furthermore, IL-20, IL-22 and IL-24 are all able to promote wound healing in type II diabetic db/db mice. When compared to other growth factors such as VEGF and PDGF that accelerate wound healing in this model, IL-22 uniquely induced genes involved in reepithelialization, tissue remodeling and innate host defense mechanisms from wounded skin. Interestingly, IL-22 treatment showed superior efficacy compared to PDGF or VEGF in an infectious diabetic wound model. Taken together, our data suggest that IL-20 subfamily cytokines, particularly IL-20, IL-22, and IL-24, might provide therapeutic benefit for patients with DFU.
2017-03-08 | GSE80419 | GEO
Project description:Diabetic foot ulcer (DFU) is a serious complication of diabetes mellitus, which causes great health damage and economic burden to patients. The pathogenesis of DFU is not fully understood.We screened wound healing-related genes using bioinformatics analysis, and full-thickness skin injury mice model and cellular assays were used to explore the role of target genes in diabetic wound healing. SFRP2 was identified as a wound healing-related gene, and the expression of SFRP2 is associated with immune cell infiltration in DFU. In vivo study showed that suppression of SFRP2 delayed the wound healing process of diabetic mice, impeded angiogenesis and matrix remodeling, and increased macrophage infiltration in wound tissues. In addition, suppression of SFRP2 enhanced M1 polarization in both the early and later stage of wound healing, and decreased M2 polarization in the later stage, which impeded the transition of M1 to M2 polarization of wound healing. Moreover, suppression of SFRP2 affected the transcriptome signatures-related to inflammatory response and energy metabolism at the early stage of wound healing. Extracellular flux analysis (EFA) showed that suppression of SFRP2 decreased mitochondrial energy metabolism and increased glycolysis in injury-related macrophages. Furthermore, suppression of SFRP2 inhibited transcriptome signaturesrelated to carbohydrate metabolism, lipid metabolism and amino acid metabolism, which consists the three main components of energy metabolism of macrophages. In conclusions, SFRP2 may function as a wound healing-related gene in DFU, and suppression of SFRP2 impaired diabetic wound healing by compromising the M1-to-M2 transition of macrophages and modulating the balance between mitochondrial energy metabolism and glycolysis.
2024-10-04 | GSE268760 | GEO
Project description:Diabetic foot ulcer (DFU) is a serious complication of diabetes mellitus, which causes great health damage and economic burden to patients. The pathogenesis of DFU is not fully understood.We screened wound healing-related genes using bioinformatics analysis, and full-thickness skin injury mice model and cellular assays were used to explore the role of target genes in diabetic wound healing. SFRP2 was identified as a wound healing-related gene, and the expression of SFRP2 is associated with immune cell infiltration in DFU. In vivo study showed that suppression of SFRP2 delayed the wound healing process of diabetic mice, impeded angiogenesis and matrix remodeling, and increased macrophage infiltration in wound tissues. In addition, suppression of SFRP2 enhanced M1 polarization in both the early and later stage of wound healing, and decreased M2 polarization in the later stage, which impeded the transition of M1 to M2 polarization of wound healing. Moreover, suppression of SFRP2 affected the transcriptome signatures-related to inflammatory response and energy metabolism at the early stage of wound healing. Extracellular flux analysis (EFA) showed that suppression of SFRP2 decreased mitochondrial energy metabolism and increased glycolysis in injury-related macrophages. Furthermore, suppression of SFRP2 inhibited transcriptome signaturesrelated to carbohydrate metabolism, lipid metabolism and amino acid metabolism, which consists the three main components of energy metabolism of macrophages. In conclusions, SFRP2 may function as a wound healing-related gene in DFU, and suppression of SFRP2 impaired diabetic wound healing by compromising the M1-to-M2 transition of macrophages and modulating the balance between mitochondrial energy metabolism and glycolysis.
2024-10-04 | GSE268759 | GEO
Project description:Cardiomyopathy in type 1 diabetic patients is characterized by early onset diastolic and late onset systolic dysfunction. The mechanism underlying development of diastolic and systolic dysfunction in diabetes remains unknown. We used microarrays to detail the ventricle gene expression changes that underly development of diabetic cardiomyopathy. We identified distinct classes of up-regulated genes during this process. Experiment Overall Design: 150g male Wistar rats (Harlan) we injected with 65 mg/kg streptozotocin to induce Type 1 diabetes. Four replicates of Control and Diabetic rat ventricles were removed and frozen at Three time points for total RNA isolation and hybridization on the Affymetrix RG-U34A microarray. The 3 day samples show a baseline for initial diabetic changes in the ventricle. The 28 day samples show changes associated with diastolic dysfunction in diabetes. The 42 day samples show changes associated with both diastolic and systolic dysfunction in type 1 diabetic rat ventricles.
2007-11-29 | E-GEOD-4745 | biostudies-arrayexpress