Microbiota in diabetic foot wound
Ontology highlight
ABSTRACT:
PROVIDER: PRJEB30094 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| ERR2983300_1.fastq.gz | Fastqsanger.gz | |||
| ERR2983300_2.fastq.gz | Fastqsanger.gz | |||
| ERR2983310_1.fastq.gz | Fastqsanger.gz | |||
| ERR2983310_2.fastq.gz | Fastqsanger.gz | |||
| ERR2983320_1.fastq.gz | Fastqsanger.gz |
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Project description:We investigate the changes between diabetic and non-diabetic wound healing process in chronic foot ulcer.
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Project description:We investigate the changes between diabetic and non-diabetic wound healing process in chronic foot ulcer.
2023-10-24 | GSE245703 | GEO
Project description:Introduction: We investigated the role and mechanism of hsa-HLA-DRB1 in the development and progression of diabetic foot ulcers. Methods: High-throughput sequencing was performed on three normal foot trauma tissues and diabetic foot ulcer tissues. The circRNAs with significant differences were identified. The downstream miRNAs were predicted by miRanda and RNAhybrid databases, and the mRNAs were predicted by the TargetScan database. Validation was performed with CCK8, flow cytometry, trabecular scratch assay, tubule generation assay, Western blot, dual luciferase assay, and RT-qPCR. Results: High-throughput sequencing identified 461 significantly different circRNAs, of which 260 were up-regulated and 201 down-regulated. Compared to normal tissue, hsa-HLA-DRB1 was highly expressed in diabetic foot ulcers. The hsa-HLA-DRB1/miRNA_12118/FLT-1 axis was constructed. In vitro, we found that HLA-DRB1 overexpression inhibited cell viability, wound healing, and tubule formation, promoted apoptosis, and enhanced FLT-1 expression in HUVECs. Conclusion: The upregulation of hsa-HLA-DRB1 may promote diabetic foot development by targeting miRNA_12118 and acting on FLT-1. Therefore, our study highlights the key role of the hsa-HLA-DRB1/miRNA_12118/FLT-1 axis in diabetic foot trauma.
2025-06-04 | GSE286165 | GEO
Project description:<p> Background: Diabetic foot tendon exposures are prone to infection, necrosis, and prolonged treatment cycles, not only hindering wound healing but potentially leading to amputation and life-threatening complications. Shengji ointment combined with bromelain has demonstrated preliminary efficacy in treating these wounds, but its mechanisms of action and impact on wound metabolites require further investigation.</p><p> Methods: Thirty patients with diabetic foot tendon exposure wounds received four-week treatment with Shengji ointment combined with bromelain. Clinical outcomes including granulation tissue coverage and wound healing rates were evaluated. Wound exudates collected pretreatment and posttreatment underwent metabolomics analysis to characterize treatment-induced metabolic changes.</p><p> Results: Following treatment, significant improvements were observed in granulation tissue coverage and wound healing rates compared to pretreatment baseline. Metabolomic profiling identified 4034 differential metabolites (1907 upregulated, 2127 downregulated), revealing significant alterations in key metabolic pathways including phenylpropanoid biosynthesis, tyrosine metabolism, and amino acid biosynthesis pathways.</p><p> Conclusion: Shengji ointment combined with bromelain effectively promotes healing of diabetic foot wounds with tendon exposure through significant modulation of the wound metabolic environment, particularly via regulation of critical metabolic pathways. These metabolomics findings provide mechanistic insights supporting this treatment approach.</p>
2025-07-14 | MTBLS12713 | MetaboLights
Project description:We examined the feasibility of single cell RNA sequencing (scRNA-seq) analysis to evaluate human chronic wound samples acquired in the clinic, subjected to prolonged cold ischemia time, and processed without FACS sorting. Wound tissue from human diabetic and non-diabetic plantar foot ulcers were evaluated using an optimized 10X Genomics scRNA-seq platform and analyzed using a modified data pipeline designed for low-yield specimens. Cell subtypes were identified informatically and their distributions and transcriptional programs were compared between diabetic and non-diabetic tissue. 139,000 diabetic and non-diabetic wound cells were delivered for 10X capture after either 90 or 180 min of cold ischemia time. cDNA library concentrations were 858.7 and 364.7 pg/µL, respectively, prior to sequencing. Among all barcoded fragments, we found that 83.5% successfully aligned to the human transcriptome and 68% met the minimum cell viability threshold. The average mitochondrial mRNA fraction was 8.5% for diabetic cells and 6.6% for non-diabetic cells, correlating with differences in cold ischemia time. A total of 384 individual cells were of sufficient quality for subsequent analyses; from this cell pool, we identified transcriptionally-distinct cell clusters whose gene expression profiles corresponded to fibroblasts, keratinocytes, neutrophils, monocytes, and endothelial cells. Fibroblast subpopulations with differing fibrotic potentials were identified, and their distributions were found to be altered in diabetic vs. non-diabetic cells.
2023-11-25 | GSE248247 | GEO
Project description:Diabetic foot ulcers (DFUs) are a devastating complication of diabetes. In order to identify systemic and local factors associated with DFU healing, we examined the cellular landscape of DFUs by single-cell RNA-seq analysis of foot and forearm skin specimens, as well as PBMC samples, from 10 non-diabetic subjects, and 17 diabetic patients, 11 with, and 6 without DFU. Our analysis shows enrichment of a unique inflammatory fibroblast population in DFU patients with healing wounds. The patients with healing DFUs also depicted enrichment of macrophages with M1 polarization, as opposed to more M2 macrophages in non-healing wounds. These findings were verified using Immunohistochemistry and Spatial Transcriptomics.
2021-11-01 | GSE165816 | 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:To investigate mRNA Expression profile and associated signaling pathways in the treatment of diabetic foot ulcer healing by tibial cortex transverse distraction. Methods: Tissue samples were collected from the wound edge before and after the surgery. After reference genome transcriptome sequencing and subsequent bioinformatics analysis, the differentially expressed genes and related pathways were explored, and functional analysis of important genes and pathways was conducted.
2024-10-30 | GSE271701 | GEO
Project description:Diabetic foot ulcers (DFUs) are a devastating complication of diabetes. To better understand the molecular mechanisms and cell types implicated in DFU healing, we used NanoString’s GeoMx Digital Spatial profiling platform on DFU tissue sections and compared gene expression of areas within the same ulcer as well as between patients who in 12 weeks following surgery healed their DFU (Healers, N=2) vs those who did not (Non-Healers, N=2).
2021-10-28 | GSE166120 | GEO
Project description:Diabetes Mellitus (DM) is a chronic, severe disease rapidly increasing in incidence and prevalence and is associated with numerous complications. Patients with DM are at high risk of developing diabetic foot ulcers (DFU) that often lead to lower limb amputations, long term disability, and a shortened lifespan. Despite this, the effects of DM on human foot skin biology are largely unknown. Thus, the focus of this study was to determine whether DM changes foot skin biology predisposing it for healing impairment and development of DFU. Foot skin samples were collected from 20 patients receiving corrective foot surgery and, using a combination of multiple molecular and cellular approaches we performed comparative analyses of non-ulcerated non-neuropathic diabetic foot skin (DFS) and healthy non-diabetic foot skin (NFS). MicroRNA (miR) profiling of laser captured epidermis and primary dermal fibroblasts from both DFS and NFS samples identified 5 miRs de-regulated in the epidermis of DFS though none reached statistical significance. MiR-31-5p and miR-31-3p were most profoundly induced. Although none were significantly regulated in diabetic fibroblasts, miR-29c-3p showed a trend of up-regulation, which was confirmed by qPCR in a prospective set of 20 skin samples. Gene expression profiling of full thickness biopsies identified 36 de-regulated genes in DFS (>2 fold-change, unadjusted p-value ≤ 0.05). Of this group, three out of seven tested genes were confirmed by qPCR: SERPINB3 was up-regulated whereas OR2A4 and LGR5 were down-regulated in DFS. However no morphological differences in histology, collagen deposition, and number of blood vessels or lymphocytes were found. No difference in proliferative capacity was observed by quantification of Ki67 positive cells in epidermis. These findings suggest DM causes only subtle changes to foot skin. Since morphology, mRNA and miR levels were not affected in a major way, additional factors, such as neuropathy, vascular complications, or duration of DM, may further compromise tissue’s healing ability leading to development of DFUs. samples were fixed in formalin and paraffin embedded. Between 16 and 20 8-10µm sections were cut from the formalin-fixed paraffin embedded tissue blocks of non-diabetic and diabetic foot skin, placed on Arcturus PEN-membrane glass slides (Life Technologies, Carlsbad, CA, USA) and dried at 37°C for 1-2 hours. LCM was carried out on a Arcturus Veritas laser capture microdissection instrument and the epidermis was collected on CapSure® Macro LCM Caps (Life Technologies). The caps were transferred to a tube containing 60µl of deparaffinization buffer (QIAGEN Inc., Valencia, CA, USA) and total RNA, including the microRNA fraction, was extracted using the FFPE miRNeasy kit (QIAGEN Inc.) according to the manufacturer’s instructions. Total RNA concentration of the samples was quantified using NanoDrop 2000 (NanoDrop products, Wilmington, DE) and the RNA quality of these samples was determined by RT-qPCR of SNORD48 and miR-21 using the commercially available platforms miRCURY LNA™ (Exiqon, Woburn, MA, USA) or Quanta qScript™ microRNA Quantification System (Quanta BioSciences, Inc., Gaithersburg, MD, USA). The miR profiles for the epidermis of 3 NFS and 3 DFS, were generated using the miR Ready-to-Use PCR panels V3 (Exiqon) following the manufacturer’s specifications. The Ct values were normalized to the stably expressed reference gene SNORD49 using the Exiqon GenEX software and the expression levels in the NFS and DFS were compared.
2015-05-01 | E-GEOD-68184 | biostudies-arrayexpress