A tough and mechanically stable adhesive hydrogel for non-invasive wound repair

Wound healing has been a great challenge throughout human history. Improper treatment for wounds is so easy to lead to infection and a series of serious symptoms, even death. Because of the ability of absorbing fluid and keeping a moist environment, the hydrogel with 3D networks is ideal candidate for wound dressing. More important, it has good biocompatibility. However, most of the hydrogel dressings reported have weak mechanical properties and adhesion properties, which greatly limit their clinical application. Herein, a tough adhesive hydrogel with good mechanical stability for non-invasive wound repair is reported. The hydrogel is composed of polyethylene glycol dimethacrylate (PEGDA), chitosan (CS) and chitin nano-whisker (CW). PEGDA and CS form interpenetrating network hydrogel through free radical polymerization reaction under the UV light. The introduction of CW further enhances the toughness of the hydrogel. The pH-sensitive CS can form adhesion to various materials through topological adhesion. As a wound closure repair material, PEGDA/CS/CW hydrogel not only has the characteristic of effectively closing the wound, defending against invading bacteria, and keeping the wound clean, but also has good tensile and mechanical stability, which is expected to realize the closure and repair of joints and other moving parts of the wound. This adhesive hydrogel is proven a promising material for wound closure repair

DROPLET-BASED HIGH-THROUGHPUT SINGLE CELL ANALYSIS WITH INTEGRATED MICROFLUIDICS

Ph.DDOCTOR OF PHILOSOPHY (FOE

Genetic Algorithms with Fitness- & Diversity-guided Adaptive Operating Probabilities and Analyses of its Convergence

Abstract The paper has analyzed global convergence GAs, especially when attempts are made to avoid properties of adaptive genetic algorithms combining adaptive probabilities of crossover and mutation with diversity-guided crossover and mutation. By means of homogeneous finite Markov chains, it is proved that AGAD, which is present in this paper, and GAD (genetic algorithms with diversity-guided mutation) maintaining the best solution converge to the global optimum, which is the main contributions of this paper. The performance of AGA(adaptive genetic algorithms with adaptive probabilities of crossover and mutation), GAD and AGAD in optimizing several unimodal and multimodal functions has been compared. For multimodal functions, the AGAD converges to the global optimum for fewer generations than AGA and GAD, and it hardly has premature convergence. Key Diversity-guided mutation; Adaptive genetic algorithm; Markov chain analysis; Global convergence

Serum Exosomal MicroRNAs as Potential Circulating Biomarkers for Endometriosis

Background. A reliable noninvasive biomarker is not yet available for endometriosis diagnosis. Novel biomarkers for the diagnosis of endometriosis are urgently needed. The molecular constituents of exosomes, especially exosomal microRNAs (miRNAs), have considerable potential as novel biomarkers for clinical diagnosis. This study is aimed at exploring aberrant exosomal miRNA profiles by using miRNA microarray and at providing more accurate molecular biomarkers of endometriosis. Methods. Exosomes were isolated from the serum of patients with endometriosis and negative controls and identified by electron microscopy, nanoparticle tracking analysis, and Western blot. Exosomal miRNAs were profiled by miRNA microarrays. The expression of selective serum exosomal miRNA was validated by qRT-PCR. Receiver operating characteristic (ROC) curves were established to explore the diagnostic value of selective miRNAs. Finally, GO annotation and KEGG pathway enrichment analyses were used to display possible functions associated with the two miRNAs. Results. A total of 24 miRNAs showed differential levels of enrichment with P1 by miRNA microarrays. Among the six selective miRNAs (i.e., miR-134-5p, miR-197-5p, miR-22-3p, miR-320a, miR-494-3p, and miR-939-5p), qRT-PCR analysis revealed that miR-22-3p and miR-320a were significantly upregulated in serum exosomes from patients with endometriosis compared with negative individuals. ROC curve revealed that the serum exosomal miR-22-3p and miR-320a yielded the area under the curve values of 0.855 and 0.827, respectively. Conclusion. Our results demonstrated that exosomal miR-22-3p and miR-320a were significantly increased in the sera of patients with endometriosis. The two miRNAs may be useful potential biomarkers for endometriosis diagnosis

Functional Stem Cell Sorting via Integrative Droplet Synchronization

10.1021/acs.analchem.0c01312Anal. Chem. 2020,92117915-792

Ultrafast Single Bacterium Screening of Cellulose Production via an Integrated Optofluidic Platform

10.1039/c9lc01105fLab on a Chip20626-63

Nanoplasmon-Enhanced Drop-Screen for High Throughput Single- Cell Nucleocytoplasmic miRNA Profiling

10.1039/c9lc01226eLab on a Chip201939-194

Establishment and application of the “electronic follow-up platform for endometriosis” during the COVID-19 pandemic

The management of endometriosis has been complicated by the COVID-19 pandemic. We aimed to introduce the establishment and application of a new follow-up method during the COVID-19 pandemic—the electronic follow-up (e-follow-up) platform for endometriosis—and to test the applicability of the platform-based follow-up management model and patient satisfaction. We used the platform for information entry and post-operative follow-up of 152 patients with endometriosis from January 2021 to August 2022, and compared patients’ Zung’s Self-Rating Depression Scale (SDS), Self-Rating Anxiety Scale (SAS), and Visual Analogue Score (VAS) (range: 0 − 10, indicating: no pain-extreme pain) scores preoperatively and after 6-month of follow-up, together with recording patients’ follow-up satisfaction and number of recurrence of lesions. Eventually, the SDS, SAS, and VAS scores were significantly lower than those at pre-surgery (p < .001), and the follow-up satisfaction rate reached 100%, with 91.41% expressing great satisfaction. The cumulative number of recurrences was 2 out of 138. Follow-up using this platform reduce the risk of COVID-19 transmission, enabled more efficient access to healthcare resources for patients with endometriosis, improved the efficiency of follow-up management, met the mental health needs of the patients

A Two-Step Cross-Linked Hydrogel Immobilization Strategy for Diacetylchitobiose Deacetylase

Free enzymes often face economic problems due to their non-recyclability, which limits their applications for industrial manufacturing. Organic biopolymers are frequently used to fabricate hydrogel for enzyme immobilization due to their advantages of non-toxicity, biocompatibility, biodegradability, and flexibility. However, for highly thermostable enzymes, simple cross-linking causes either low immobilizing efficiency or low thermal stability. Herein, we developed a novel enzyme immobilization strategy with two-step cross-linked gelatin hydrogel for thermostable enzymes working at high temperature. The hydrogel was firstly “soft cross-linked” to immobilize most enzyme molecules and then “hard cross-linked” to gain strong thermal stability. We selected the enzyme diacetylchitobiose deacetylase (Dac), which was firstly derived from hyperthermophilic bacteria, to demonstrate the advantages of our method. With the optimized fabrication steps, our hydrogel showed ~87% Dac immobilization efficiency and excellent stability against heating, dehydrating, long-time storing, and massive recycling. Importantly, our hydrogel showed ~85.0% relative enzyme activity at 80 °C and retained ~65.8% activity after 10 rounds of catalysis. This strategy showed high immobilizing efficiency and strong thermal stability and we believe it could improve the industrial potential for those enzymes