Wound healing strategies based on nanoparticles incorporated in hydrogel wound patches.

The intricate, tightly controlled mechanism of wound healing that is a vital physiological mechanism is essential to maintaining the skin's natural barrier function. Numerous studies have focused on wound healing as it is a massive burden on the healthcare system. Wound repair is a complicated process with various cell types and microenvironment conditions. In wound healing studies, novel therapeutic approaches have been proposed to deliver an effective treatment. Nanoparticle-based materials are preferred due to their antibacterial activity, biocompatibility, and increased mechanical strength in wound healing. They can be divided into six main groups: metal NPs, ceramic NPs, polymer NPs, self-assembled NPs, composite NPs, and nanoparticle-loaded hydrogels. Each group shows several advantages and disadvantages, and which material will be used depends on the type, depth, and area of the wound. Better wound care/healing techniques are now possible, thanks to the development of wound healing strategies based on these materials, which mimic the extracellular matrix (ECM) microenvironment of the wound. Bearing this in mind, here we reviewed current studies on which NPs have been used in wound healing and how this strategy has become a key biotechnological procedure to treat skin infections and wounds.

Single nucleotide variants around the connective tissue growth factor (CTGF/CCN2) gene and their association with multiple sclerosis risk, disability scores, and rate of disease progression.

BACKGROUND: This study aimed to explore the possible association of single nucleotide polymorphisms (SNPs) in the upstream (rs9402373) and downstream regions (rs9399005 and rs12526196) of the gene encoding connective tissue growth factor (CTGF/CCN2) with relapsing-remitting multiple sclerosis (RRMS) risk and clinical parameters including disability scores and rate of disability progression. MATERIALS AND METHODS: In total, 200 patients with RRMS and 305 controls were genotyped using real-time PCR (rs1252696 C/T and rs9402373 G/C) or PCR-RFLP (rs9399005 C/T) methods. Furthermore, the association between these genotypes and clinical parameters including Expanded Disability Status Scale (EDSS) score, Multiple Sclerosis Severity Score (MSSS), age at onset, duration of disease, duration of treatment, and presence of contrast-enhancing lesions was analyzed. RESULTS: rs9399005 genotypes TT and CT in the dominant model were significant predictors of RRMS vs. control status by logistic regression analysis (OR = 1.45, 95% CI = 1.01-2.08, P = .04). Moreover, these genotypes for rs9399005 were associated with a MSSS ≥ 2.4 (OR = 3.54, 95% CI = 1.56-8.05, P = .003). In addition, MSSS was lower in patients who had at least one rs12526196C allele than in the corresponding patients with the TT genotype (P = .02). CONCLUSION: To our knowledge, this is the first evidence of the involvement of variants around the CTGF gene in MS risk and disability progression.