Impaired diabetic wound healing represents a devastating and rapidly growing clinical problem associated with high morbidity, mortality, and recurrence rates. Engineering therapeutic angiogenesis in the wounded tissue is critical for successful wound healing. However, stimulating functional angiogenesis of the diabetic wound remains a great challenge, due to the oxidative damage and denaturation of bio-macromolecule-based angiogenic agents in the oxidative diabetic wound microenvironment. Here, we present a unique “seed-and-soil” strategy that circumvents the limitation by simultaneously reshaping the oxidative wound microenvironment into a proregenerative one (the “soil”) and providing proangiogenic miRNA cues (the “seed”) using an miRNA-impregnated, redox-modulatory ceria nanozyme-reinforced self-protecting hydrogel (PCN-miR/Col). The PCN-miR/Col not only reshapes the hostile oxidative wound microenvironment, but also ensures the structural integrity of the encapsulated proangiogenic miRNA in the oxidative microenvironment. Diabetic wounds treated with the PCN-miR/Col demonstrate a remarkably accelerated wound closure and enhanced quality of the healed wound as featured by highly ordered alignment of collagen fiber, skin appendage morphogenesis, functional new blood vessel growth, and oxygen saturation.

Gastric cancer (GC) is one of the leading causes of cancer-related deaths and shows high levels of heterogeneity. The development of a specific prognostic model is important if we are to improve treatment strategies. Pyroptosis can arise in response to H. pylori, a primary carcinogen, and also in response to chemotherapy drugs. However, the prognostic evaluation of GC to pyroptosis is insufficient. Consensus clustering by pyroptosis-related regulators was used to classify 618 patients with GC from four GEO cohorts. Following Cox regression with differentially expressed genes, our prognosis model (PS-score) was built by LASSO-Cox analysis. The TCGA-STAD cohort was used as the validation set. ESTIMATE, CIBERSORTx, and EPIC were used to investigate the tumor microenvironment (TME). Immunotherapy cohorts by blocking PD1/PD-L1 were used to investigate the treatment response. The subtyping of GC based on pyroptosis-related regulators was able to classify patients according to different clinical traits and TME. The difference between the two subtypes identified in this study was used to develop a prognosis model which we named “PS-score.” The PS-score could predict the prognosis of patients with GC and his/her overall survival time. A low PS-score implies greater inflammatory cell infiltration and better response of immunotherapy by PD1/PD-L1 blockers. Our findings provide a foundation for future research targeting pyroptosis and its immune microenvironment to improve prognosis and responses to immunotherapy.

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The prevalence of H. pylori resistance to clarithromycin, metronidazole, levofloxacin and multiple antibiotics in coastal southeast China is high. Choice of therapy should be individualized based on a susceptibility test in this region of the country.

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