Acidified Nitrite Accelerates Wound Healing in Type 2 Diabetic Male Rats: A Histological and Stereological Evaluation

Nitric oxide-based treatments improve wound healing associated with diabetes mellitus

Non-healing wounds are long-term complications of diabetes mellitus (DM) that increase mortality risk and amputation-related disability and decrease the quality of life. Nitric oxide (NO·)-based treatments (i.e., use of both systemic and topical NO· donors, NO· precursors, and NO· inducers) have received more attention as complementary approaches in treatments of DM wounds. Here, we aimed to highlight the potential benefits of NO·-based treatments on DM wounds through a literature review of experimental and clinical evidence. Various topical NO·-based treatments have been used. In rodents, topical NO·-based therapy facilitates wound healing, manifested as an increased healing rate and a decreased half-closure time. The wound healing effect of NO·-based treatments is attributed to increasing local blood flow, angiogenesis induction, collagen synthesis and deposition, re-epithelization, anti-inflammatory and anti-oxidative properties, and potent broad-spectrum antibacterial effects. The existing literature lacks human clinical evidence on the safety and efficacy of NO·-based treatments for DM wounds. Translating experimental favors of NO·-based treatments of DM wounds into human clinical practice needs conducting clinical trials with well-predefined effect sizes, i.e., wound reduction area, rate of wound healing, and hospital length of stay.

Topical spray of Wharton's jelly mesenchymal stem cells derived from umbilical cord accelerates diabetic wound healing

BACKGROUND & AIM

Cell-based therapy utilizing mesenchymal stem cells (MSCs) is currently being investigated as a therapeutic agent for chronic wounds. There is no evidence regarding effectiveness of the spray and local transfer of this cellular product in diabetic wound healing. Accordingly, the present study, using clinical, pathological and biometric parameters, investigated the effectiveness of the spray of these cells in the healing of diabetic wounds in rats.

METHODS

Three days after the induction of diabetes (50 mg/kg single dose of streptozotocin) a circular excision was created on the back of rats. Diabetic rats were divided into two groups (n=21): Control and WJ-MSCs group. Sampling of the studied groups was performed on days 7, 14 and 21 after wounding. Histological, ultrasound imaging of dermis and epidermis in the wound area for thickness and density measurement and skin elasticity were evaluated.

RESULTS

Our results on days 7, 14, and 21 after wounding showed that the wound closure, thickness and density of new epidermis and dermis, as well as skin elasticity in healed wound were significantly higher in WJ-MSCs group compared to the Control group.

CONCLUSION

Application of WJ-MSCs suspension spray on the wound area can accelerate healing in diabetic wounds. Our findings may potentially provide a helpful therapeutic strategy for patients with a diabetic wound.

Prediction of groundwater nitrate concentration in a semiarid region using hybrid Bayesian artificial intelligence approaches

Nitrate is a major pollutant in groundwater whose main source is municipal wastewater and agricultural activities. In the present study, Bayesian approaches such as Bayesian generalized linear model (BGLM), Bayesian regularized neural network (BRNN), Bayesian additive regression tree (BART), and Bayesian ridge regression (BRR) were used to model groundwater nitrate contamination in a semiarid region Marvdasht watershed, Fars province, Iran. Eleven groundwater (GW) nitrate conditioning factors have been taken as input parameters for predictive modeling. The results showed that the Bayesian models used in this study were all competent to model groundwater nitrate and the BART model with R2 = 0.83 was more efficient than the other models. The result of variable importance showed that potassium (K) has the highest importance in the models followed by rainfall, altitude, groundwater depth, and distance from the residential area. The results of the study can support the decision-making process to control and reduce the sources of nitrate pollution.