Engineering injectable hyaluronic acid-based adhesive hydrogels with anchored PRP to pattern the micro-environment to accelerate diabetic wound healing.

Diabetic wounds remain a global challenge due to disordered wound healing led by inflammation, infection, oxidative stress, and delayed proliferation. Therefore, an ideal wound dressing for diabetic wounds not only needs tissue adhesiveness, injectability, and self-healing properties but also needs a full regulation of the microenvironment. In this work, adhesive wound dressings (HA-DA/PRP) with injectability were fabricated by combining platelet rich plasma (PRP) and dopamine-modified-hyaluronic acid (HA-DA). The engineered wound dressings exhibited tissue adhesiveness, rapid self-healing, and shape adaptability, thereby enhancing stability and adaptability to irregular wounds. The in vitro experiments demonstrated that HA-DA/PRP adhesives significantly promoted fibroblast proliferation and migration, attributed to the loaded PRP. The adhesives showed antibacterial properties against both gram-positive and negative bacteria. Moreover, in vitro experiments confirmed that HA-DA/PRP adhesives effectively mitigated oxidative stress and inflammation. Finally, HA-DA/PRP accelerated the healing of diabetic wounds by inhibiting bacterial growth, promoting granulation tissue regeneration, accelerating neovascularization, facilitating collagen deposition, and modulating inflammation through inducing M1 to M2 polarization, in an in vivo model of infected diabetic wounds. Overall, HA-DA/PRP adhesives with the ability to comprehensively regulate the microenvironment in diabetic wounds may provide a novel approach to expedite the diabetic wounds healing in clinic.

Engineering self-healing adhesive hydrogels with antioxidant properties for intrauterine adhesion prevention.

Intrauterine adhesion (IUA) is the fibrosis within the uterine cavity. It is the second most common cause of female infertility, significantly affecting women's physical and mental health. Current treatment strategies fail to provide a satisfactory therapeutic outcome for IUA patients, leaving an enormous challenge for reproductive science. A self-healing adhesive hydrogel with antioxidant properties will be highly helpful in IUA prevention. In this work, we prepare a series of self-healing hydrogels (P10G15, P10G20, and P10G25) with antioxidant and adhesive properties. Those hydrogels exhibit good self-healing properties and can adapt themselves to different structures. They possess good injectability and fit the shape of the human uterus. Moreover, the hydrogels exhibit good tissue adhesiveness, which is desirable for stable retention and therapeutic efficacy. The in vitro experiments using P10G20 show that the adhesive effectively scavenges ABTS+, DPPH, and hydroxyl radicals, rescuing cells from oxidative stress. In addition, P10G20 offers good hemocompatibility and in vitro and in vivo biocompatibility. Furthermore, P10G20 lowers down the in vivo oxidative stress and prevents IUA with less fibrotic tissue and better endometrial regeneration in the animal model. It can effectively downregulate fibrosis-related transforming growth factor beta 1 (TGF-ß1) and vascular endothelial growth factor (VEGF). Altogether, these adhesives may be a good alternative for the clinical treatment of intrauterine adhesion.

[Diagnostic and application value of 64-slice spiral CT scanning in preoperative staging of esophageal cancer].

OBJECTIVE: To investigate the diagnostic and application value of pre-operative 64-slice spiral CT evaluation in operation selection for esophagus cancer. METHODS: Multi-slice computed tomography (MSCT) was conducted in 50 patients with esophageal cancer before operation, using the work station for after-treatment to get CT virtual endoscopy (CTVE), multiplanar reconstruction (MRP), shaded surface display (SSD) and Raysum images, and combined with the transect images to record the preoperative MSCT staging and to predict the operation scheme, and compared with the postoperative pathological staging and the actual operational plan. RESULTS: The diagnostic sensitivity of MSCT for preoperative T staging was 100.0% (50/50), while the N staging was 80.0% (16/20). According to the MSCT prediction, the resection rate of esophageal cancer was 96.0% (48/50). Through the preoperative MSCT evaluation, the accuracy of CT-TNM stage was 90.0%, highly consistent with the pathological TNM stage (Kappa = 0.811, P < 0.05). CONCLUSIONS: MSCT can effectively display the shape, size and position of the tumor, determine the tumor invasion range, lymph node metastasis and distant metastasis, etc., make preoperative evaluation for esophagus cancer patients and provide evidence for clinicians to predict the operation scheme for esophagus cancer.