Project description:AimsTopical growth factors accelerate wound healing in patients with diabetic foot ulcers (DFU). Due to the absence of head-to-head comparisons, we carried out Bayesian network meta-analysis to compare the efficacy and safety of growth factors.MethodsUsing an appropriate search strategy, randomized controlled trials on topical growth factors compared with standard of care in patients with DFU, were included. Proportion of patients with complete healing was the primary outcome. Odds ratio (95% confidence interval) was used as the effect estimate and random effects model was used for both direct and indirect comparisons. Markov Chain Monte Carlo simulation was used to obtain pooled estimates. Rankogram was generated based on surface under the cumulative ranking curve (SUCRA).ResultsA total of 26 studies with 2088 participants and 1018 events were included. The pooled estimates for recombinant epidermal growth factor (rhEGF), autologous platelet rich plasma (PRP), recombinant human platelet-derived growth factor (rhPDGF) were 5.72 [3.34, 10.37], 2.65 [1.60, 4.54] and 1.97 [1.54, 2.55] respectively. SUCRA for rhEGF was 0.95. Sensitivity analyses did not reveal significant changes from the pooled estimates and rankogram. No differences were observed in the overall risk of adverse events between the growth factors. However, the growth factors were observed to lower the risk of lower limb amputation compared to standard of care.ConclusionTo conclude, rhEGF, rhPDGF and autologous PRP significantly improved the healing rate when used as adjuvants to standard of care, of which rhEGF may perform better than other growth factors. The strength of most of the outcomes assessed was low and the findings may not be applicable for DFU with infection or osteomyelitis. The findings of this study needs to be considered with caution as the results might change with findings from head-to-head studies.
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.
Project description:Diabetic foot ulcers (DFUs) are a serious complication from diabetes mellitus, with a huge economic, social and psychological impact on the patients' life. One of the main reasons why DFUs are so difficult to heal is related to the presence of biofilms. Biofilms promote wound inflammation and a remarkable lack of response to host defences/treatment options, which can lead to disease progression and chronicity. In fact, appropriate treatment for the elimination of these microbial communities can prevent the disease evolution and, in some cases, even avoid more serious outcomes, such as amputation or death. However, the detection of biofilm-associated DFUs is difficult due to the lack of methods for diagnostics in clinical settings. In this review, the current knowledge on the involvement of biofilms in DFUs is discussed, as well as how the surrounding environment influences biofilm formation and regulation, along with its clinical implications. A special focus is also given to biofilm-associated DFU diagnosis and therapeutic strategies. An overview on promising alternative therapeutics is provided and an algorithm considering biofilm detection and treatment is proposed.
Project description:Diabetic foot ulcers (DFUs) are a serious complication of diabetes that results in significant morbidity and mortality. Mortality rates associated with the development of a DFU are estimated to be 5% in the first 12 months, and 5-year morality rates have been estimated at 42%. The standard practices in DFU management include surgical debridement, dressings to facilitate a moist wound environment and exudate control, wound off-loading, vascular assessment, and infection and glycemic control. These practices are best coordinated by a multidisciplinary diabetic foot wound clinic. Even with this comprehensive approach, there is still room for improvement in DFU outcomes. Several adjuvant therapies have been studied to reduce DFU healing times and amputation rates. We reviewed the rationale and guidelines for current standard of care practices and reviewed the evidence for the efficacy of adjuvant agents. The adjuvant therapies reviewed include the following categories: nonsurgical debridement agents, dressings and topical agents, oxygen therapies, negative pressure wound therapy, acellular bioproducts, human growth factors, energy-based therapies, and systemic therapies. Many of these agents have been found to be beneficial in improving wound healing rates, although a large proportion of the data are small, randomized controlled trials with high risks of bias.
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).
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.
Project description:Diabetic foot ulceration (DFU) is a devastating complication of diabetes whose pathogenesis remains incompletely understood. Here, we profile 174,962 single cells from the foot, forearm, and peripheral blood mononuclear cells using single-cell RNA sequencing. Our analysis shows enrichment of a unique population of fibroblasts overexpressing MMP1, MMP3, MMP11, HIF1A, CHI3L1, and TNFAIP6 and increased M1 macrophage polarization in the DFU patients with healing wounds. Further, analysis of spatially separated samples from the same patient and spatial transcriptomics reveal preferential localization of these healing associated fibroblasts toward the wound bed as compared to the wound edge or unwounded skin. Spatial transcriptomics also validates our findings of higher abundance of M1 macrophages in healers and M2 macrophages in non-healers. Our analysis provides deep insights into the wound healing microenvironment, identifying cell types that could be critical in promoting DFU healing, and may inform novel therapeutic approaches for DFU treatment.