A self-healing hydrogel wound dressing based on oxidized Bletilla striata polysaccharide and cationic gelatin for skin trauma treatment.

Skin trauma presents significant treatment challenges in clinical settings. Hydrogels made from naturally-derived polysaccharide have demonstrated great potential in wound healing. Here, a novel in-situ crosslinked self-healing hydrogel was prepared using oxidized Bletilla striata polysaccharide (BSP) and cationic gelatin via a Schiff-base reaction without the need for any chemical crosslinkers. Similar to the natural extracellular matrix, the BSP-gelatin hydrogel (BG-gel) exhibited typical viscoelastic characteristics. The rheological properties, mechanical behavior, porous structure, and degradation performance of BG-gel could be adjusted by changing the aldehyde group content of BSP. Importantly, the hydrogel showed superior hemostatic performance in mouse tail amputation and rat liver incision models. It significantly facilitated wound healing by promoting hair follicles regeneration, blood vessels repair, collagen deposition, and inducing skin tissue remodeling via increased CD31 expression in a full-thickness skin wound rat model. This multifunctional hydrogel holds potential as a wound dressing for skin trauma, offering both hemostasis and expedited healing.

Current Research Trends in Cytokine Storm: A Scientometric Study.

BACKGROUND: Coronavirus disease 2019 (COVID-19) is currently rampant worldwide, resulting in unpredictable harm to humans. High blood levels of cytokines and chemokines have been marked in patients with COVID-19 infection, leading to cytokine storm syndrome. Cytokine storms are violent inflammatory immune responses that reveal the devastating effect of immune dysregulation and the critical role of an effective host immune response. METHODS: Scientometric analysis summarizes the literature on cytokine storms in recent decades and provides a valuable and timely approach to tracking the development of new trends. This review summarizes the pathogenesis and treatment of diseases associated with cytokine storms comprehensively based on scientometric analysis. RESULTS: Field distribution, knowledge structure, and research topic evolution correlated with cytokine storms are revealed, and the occurrence, development, and treatment of disease relevant to cytokine storms are illustrated. CONCLUSION: Cytokine storms can be induced by pathogens and iatrogenic causes and can also occur in the context of autoimmune diseases and monogenic diseases as well. These reveal the multidisciplinary nature of cytokine storms and remind the complexity of the pathophysiological features, clinical presentation, and management. Overall, this scientometric study provides a macroscopic presentation and further direction for researchers who focus on cytokine storms.

A Scientometrics Analysis and Visualization of Depressive Disorder.

Multiple studies on the pathomechanisms of depressive disorder and antidepressants have been reported. However, literature involving scientometric analysis of depressive disorder is sparse. Here, we use scientometric analysis and a historical review to highlight recent research on depression. We use the former to examine research on depressive disorders from 1998 to 2018. The latter is used to identify the most frequent keywords in keyword analysis, as well as explore hotspots and depression trends. Scientometric analysis uncovered field distribution, knowledge structure, research topic evolution, and topics emergence as main explorations in depressive disorder. Induction factor, comorbidity, pathogenesis, therapy and animal models of depression help illustrate occurrence, development and treatment of depressive disorder. Scientometric analysis found 231,270 research papers on depression, a 4-fold increase over the last 20 years. These findings offer a vigorous roadmap for further studies in this field.