Physicochemical and functional characteristics of glycated collagen protein from giant salamander skin induced by ultrasound Maillard reaction.

Chinese giant salamander skin collagen (CGSSC) was successfully conjugated with glucose (Glu)/xylose (Xy) by ultrasound Maillard reaction (MR) in nature deep eutectic solvents (NADES). The effects of ultrasound and reducing sugar types on the degree graft (DG) of MR products (MRPs), as well as the influence of DG on the structure and functional properties of MRPs were investigated. The results indicated that the ultrasound assisted could markedly enhance the MR of CGSSC, and low molecular weight reducing sugars were more reactive in MR. The ultrasound MR significantly changed the microstructure, secondary and tertiary structures of CGSSC. Moreover, the free sulfhydryl content of MRPs were increased, thus enhancing the surface hydrophobicity, emulsifying properties and antioxidant activity, which were positively correlated with DG. These findings provided theoretical insights into the effects of ultrasound assisted and different sugar types on the functional properties of collagen induced by MR.

Machine Learning Integrated Workflow for Predicting Schwann Cell Viability on Conductive MXene Biointerfaces.

Severe injuries to the peripheral nervous system (PNS) require Schwann cells to aid in neuronal regeneration. Low-frequency electrical stimulation is known to induce the cogrowth of neurons and Schwann cells in an injured PNS. However, the correlations between electrical stimulation and Schwann cell viability are complex and not well understood. In this work, we develop a machine learning (ML)-integrated workflow that uses conductive hydrogel biointerfaces to evaluate the impacts of fabrication parameters and electrical stimulation on the Schwann cell viability. First, a hydrogel array with varying MXene and peptide loadings is fabricated, which serves as conductive biointerfaces to incubate Schwann cells and introduce various electrical stimulation (at different voltages and frequencies). Upon specific fabrication parameters and stimulation, the cell viability is evaluated and input into an artificial neural network model to train the model. Additionally, a data augmentation method is applied to synthesize 1000-fold virtual data points, enabling the construction of a high-accuracy prediction model (with a testing mean absolute error ≤11%). By harnessing the model's predictive power, we can accurately predict Schwann cell viability based on a given set of fabrication/stimulation parameters. Finally, the SHapley Additive exPlanations model interpretation provides several data-scientific insights that are validated by microscopic cellular observations. Our hybrid approach, involving conductive biointerface fabrication, ML algorithms, and data analysis, offers an unconventional platform to construct a preclinical prediction model at the cellular level.

[Value of Pediatric Early Warning Score in identifying the condition of critically ill children].

OBJECTIVE: To study the value of Pediatric Early Warning Score (PEWS) in identifying the condition of critically ill children. METHODS: A total of 120 children who were transferred to the pediatric intensive care unit (PICU) from the general ward during hospitalization or admitted to the PICU after emergency treatment in the Xiangya Hospital of Central South University from January to December, 2016 were enrolled as the PICU group. The other 120 children who were admitted to the general ward in the hospital were used as the control group. According to the disease type, the PICU group was further divided into two subgroups: respiratory/circulatory system diseases (n=55) and nervous/other system diseases (n=65). The PEWS score on admission was recorded, and the receiver operating characteristic (ROC) curve was used to analyze the value of PEWS in evaluating patients' condition. RESULTS: The PICU group had a significantly higher PEWS score than the control group (P<0.05). The respiratory/circulatory system disease subgroup had a significantly higher PEWS score than the nervous/other system disease subgroup (P<0.05). In predicting whether the child was admitted to the PICU, PEWS had a sensitivity of 85%, a specificity of 95%, and an area under the ROC curve (AUC) of 0.951 (95% confidence interval: 0.923-0.980) at the optimal cut-off value of 3.5 (PEWS score). The AUC of PEWS was 0.768 in the nervous/other system disease subgroup and 0.968 in the respiratory/circulatory system disease subgroup. The mortality rate of children with a PEWS score of >6, 4-6 and ≤3 was 40%, 21% and 0 respectively (P<0.001). CONCLUSIONS: PEWS can well identify disease severity in critically ill children, and it has different sensitivities in children with different varieties of diseases. PEWS has a good value in predicting children's prognosis.

Molecular characterization of a putative gammapartitivirus in the phytopathogenic fungus Nigrospora oryzae.

We report the molecular attributes of a novel bisegmented double-stranded RNA (dsRNA) virus, designated "Nigrospora oryzae partitivirus 1" (NoPV1), from a phytopathogenic fungus Nigrospora oryzae. The genome of NoPV1 contains two dsRNA segments (dsRNA1 and 2), 1875 bp and 1601 bp in length, respectively. dsRNA1 and -2 both have a single open reading frame encoding the RNA-dependent RNA polymerase and coat protein, respectively. NoPV1 has a high degree of sequence identity to members of genus Gammapartitivirus in the family Partitiviridae. This is the first report of a mycovirus in the family Partitiviridae that infects N. oryzae.

microRNA-125b reverses the multidrug resistance of nasopharyngeal carcinoma cells via targeting of Bcl-2.

Multidrug resistance (MDR) is a major clinical obstacle in the successful treatment of patients with metastatic nasopharyngeal carcinoma (NPC). Results from previous studies suggest that microRNAs (miRNA) may be involved in promoting MDR in multiple cancer types. However, the role of miR­125b in modulating the MDR of NPC is elusive. In the present study, miR­125b expression in cisplatin (DDP) ­resistant CNE2 cells (CNE2/DDP) was compared with parental counterparts, using reverse transcription­quantitative polymerase chain reaction. A >3­fold reduction in miR­125b expression levels was observed in CNE2/DDP cells compared with parental CNE2 cells. Ectopic expression of miR­125b by transfecting CNE2/DDP cells with miR-125b mimics, increased DDP­induced cytotoxicity, apoptosis and chemosensitivity. By contrast, suppression of miR-125b by transfecting CNE2 cells with miR­125b inhibitors, reduced DDP­induced cytotoxicity and apoptosis, and facilitated cisplatin resistance. The results suggest that miR­125b may regulate the sensitivity of NPC cells to DDP by modulating the expression levels of antiapoptotic factor B-cell CLL/lymphoma 2. Collectively, the results of the present study highlight miR­125b as a potential therapeutic target for reversing MDR in NPC.

Sensory and immune genes identification and analysis in a widely used parasitoid wasp Trichogramma dendrolimi (Hymenoptera: Trichogrammatidae).

Trichogramma dendrolimi Matsumura (Hymenoptera: Trichogrammatidae) is one of the preponderant egg parasitoids of Dendrolimus spp., which are important defoliators of coniferous forests. This parasitoid wasp has been widely released to control pine caterpillar and other lepidopteran pests, but its control efficiency needs to be improved. Sensory systems are crucial for T. dendrolimi to locate hosts, and immunity is probably involved after egg deposition in the host cavity; however, few reports have focused on the molecular mechanism of olfactory detection and survival of T. dendrolimi. It is necessary to identify these genes before further functional research is conducted. In this study, we assembled and analyzed the transcriptome of T. dendrolimi using next-generation sequencing technology. The sequencing and assembly resulted in 38 565 contigs with N50 of 3422 bp. Sequence comparison indicate that T. dendrolimi sequences are very similar to those of another parasitoid Nasonia vitripennis. Then the olfactory, vision, and immune-related gene families were identified, and phylogenetic analyses were performed with these genes from T. dendrolimi and other model insect species. Furthermore, phylogenetic tree with odorant binding proteins of T. dendrolimi and their host Dendrolimus was constructed to determine whether convergent evolution exists. These genes can be valid targets for further gene function research. The present study may help us to understand host location and survival mechanisms of T. dendrolimi and to use them more efficiently for pest control in the future.