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1,029 result(s) for "Guo, Xiaoping"
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Combination of 20(R)-Rg3 and HUCMSCs Alleviates Type 2 Diabetes Mellitus in C57BL/6 Mice by Activating the PI3K/Akt Signaling Pathway
Type 2 diabetes mellitus (T2DM) is a global health challenge characterized by insulin resistance and pancreatic β-cell dysfunction. While human umbilical cord mesenchymal stem cells (HUCMSCs) show therapeutic potential, their efficacy can be limited by the harsh in vivo microenvironment. 20(R)-Rg3, a ginsenoside with anti-inflammatory and antioxidant properties, may enhance HUCMSCs’ function, but the combined effect and mechanism of this “cell-molecule” strategy remain unclear. This study aimed to investigate the therapeutic effects and underlying mechanisms of a combination therapy using 20(R)-Rg3 and HUCMSCs in a high-fat diet (HFD) and streptozotocin (STZ)-induced T2DM mouse model. Diabetic mice were treated with PBS, HUCMSCs alone, or HUCMSCs pre-treated with 20(R)-Rg3. Fasting blood glucose and body weight were monitored. Insulin resistance was assessed via oral glucose tolerance tests (OGTTs) and intraperitoneal insulin tolerance tests (IPITTs). Serum biochemical parameters (lipids, liver and kidney function, insulin, C-peptide) were analyzed. Histopathological examination (H&E, PAS) of the liver, kidney, and pancreas was performed, alongside immunofluorescence for islet hormones. Transcriptomic analysis (RNA-seq) was conducted on HUCMSCs with or without 20(R)-Rg3 pretreatment to elucidate potential signaling pathways. Results demonstrated that the combination significantly reduced hyperglycemia and improved insulin sensitivity more effectively than HUCMSCs alone. It also ameliorated dyslipidemia, enhanced liver and kidney function, promoted glycogen synthesis, and facilitated pancreatic islet “regeneration”. Transcriptomic analysis indicated that the synergistic effect is primarily mediated through activation of the PI3K/Akt signaling pathway. These findings suggest that 20(R)-Rg3 potentiates the therapeutic efficacy of HUCMSCs, providing a promising combinatorial strategy for T2DM treatment.
Assessment of four pain scales for evaluating procedural pain in premature infants undergoing heel blood collection
Background Procedural pain is underestimated in hospitalized preterm infants. The aim of this study was to assess the reliability, validity, and clinical utility of the Neonatal Facial Coding System (NFCS), Douleur Aiguë du Nouveau-né (DAN) scale, Neonatal Infant Pain Scale (NIPS), and Premature Infant Pain Profile (PIPP) in premature infants undergoing heel blood collection. We assume that the four scales were similar in reliablility and validity (but different in clinical utility). Methods The pain assessments were performed on 111 premature infants using the four scales. Internal consistency was determined by Cronbach’s α , and the reliability was determined by the intraclass correlation coefficients. Concurrent validity was evaluated by Spearman’s rank correlations. Bland–Altman plots were used to investigate the convergent validity. Results The internal consistency and their reliability of the scales were high ( p  < 0.001). Scores were significantly higher at the time of blood collection ( p  < 0.001). Mean scores of clinical utility of PIPP were significantly higher than NFCS and DAN ( p  < 0.05) but not higher than the NIPS ( p  > 0.05). Conclusions The four scales were reliable and valid. This study suggests that the PIPP and NIPS has good clinical utility and are better choice for evaluating procedural pain in premature infants. Impact The aim of this study was to assess the reliability, validity, and clinical utility of NFCS, DAN, NIPS, and PIPP in premature infants undergoing heel blood collection. The results showed that the four scales have high reliability and internal consistency; the PIPP and NIPS have good clinical utility and are better choice for evaluating procedural pain in premature infants. Our study results provided a reference for clinical workers in choosing pain assessment scales and conduction intervention.
Exosomes from human umbilical cord mesenchymal stem cells attenuate the inflammation of severe steroid-resistant asthma by reshaping macrophage polarization
Background Severe, steroid-resistant asthma (SSRA) is a serious clinical problem in asthma management. Affected patients have severe clinical symptoms, worsened quality of life, and do not respond to steroid, a mainstay steroid treatment of asthma. Thus, effective therapies are urgently needed. Exosomes derived from mesenchymal stem cell (MSC-Exo) has become attractive candidates for the lung inflammatory diseases through its immunomodulatory effects. In this study, we explored the therapeutic effects of MSC-Exo in SSRA and identified the therapeutic mechanism of MSC-Exo. Method Exosomes from human umbilical cord mesenchymal stem cell (hUCMSC) were isolated and characterized by transmission electron microscopy, nanoparticle tracking analysis and flow cytometry analysis. Effects of MSC-Exo on airway hyper responsiveness (AHR), inflammation, histopathology, and macrophage polarization in SSRA in mice were evaluated. Systematic depletion of macrophages determined the role of macrophages in the therapeutic effect of SSRA in mice. LPS-stimulated RAW 264.7 cell model was constructed to determine the underlying mechanism of MSC-Exo on macrophage polarization. qRT-PCR, Western blotting, immunofluorescence, and flow cytometry were performed to evaluate the expression of M1 or M2 markers. Tandem mass tags (TMT)-labeled quantitative proteomics were applied to explore the central protein during the regulation effect of MSC-Exo on macrophage polarization. Knockdown and overexpression of TRAF1 were used to further clarify the role of the central protein on macrophage polarization. Result We successfully isolated and characterized exosomes from hUCMSCs. We verified that the intratracheal administration of MSC-Exo reversed AHR, histopathology changes, and inflammation in SSRA mice. Systematic depletion of macrophages weakened the therapeutic effect of MSC-Exo. We found that MSC-Exo treatment inhibited M1 polarization and promoted M2 polarization in LPS-stimulated RAW 264.7 cells. Subsequently, tumor necrosis factor receptor-associated factor 1 (TRAF1) was determined as the central protein which may be closely related to the regulation of macrophage polarization from TMT-labeled quantitative proteomics analysis. Knockdown and overexpression of TRAF1 demonstrated that the effect of MSC-Exo treatment on macrophage polarization, NF-κB and PI3K/AKT signaling was dependent on TRAF1. Conclusion MSC-Exo can ameliorate SSRA by moderating inflammation, which is achieved by reshaping macrophage polarization via inhibition of TRAF1.
Impacts of changes in vegetation on saturated hydraulic conductivity of soil in subtropical forests
Saturated hydraulic conductivity ( K s ) is one of the most important soil properties that determines water flow behavior in terrestrial ecosystems. However, the K s of forest soils is difficult to predict due to multiple interactions, such as anthropological and geomorphic processes. In this study, we examined the impacts of vegetation type on K s and associated mechanisms. We found that K s differed with vegetation type and soil depth, and the impact of vegetation type on K s was dependent on soil depth. K s did not differ among vegetation types at soil depths of 0–10 and 20–30 cm, but was significantly lower in managed forest types (mixed evergreen broad-leaved and coniferous forests, bamboo forests, and tea gardens) than native evergreen broadleaf forests at a depth of 10–20 cm. Boosted regression tree analysis indicated that total porosity, non-capillary porosity, and macro water-stable aggregates were the primary factors that influenced K s . Our results suggested that vegetation type was a key factor that influences hydraulic properties in subtropical forest soils through the alteration of soil properties, such as porosity and macro water-stable aggregates.
Airway Microbiome and Serum Metabolomics Analysis Identify Differential Candidate Biomarkers in Allergic Rhinitis
Allergic rhinitis (AR) is a common heterogeneous chronic disease with a high prevalence and a complex pathogenesis influenced by numerous factors, involving a combination of genetic and environmental factors. To gain insight into the pathogenesis of AR and to identity diagnostic biomarkers, we combined systems biology approach to analyze microbiome and serum composition. We collected inferior turbinate swabs and serum samples to study the microbiome and serum metabolome of 28 patients with allergic rhinitis and 15 healthy individuals. We sequenced the V3 and V4 regions of the 16S rDNA gene from the upper respiratory samples. Metabolomics was used to examine serum samples. Finally, we combined differential microbiota and differential metabolites to find potential biomarkers. We found no significant differences in diversity between the disease and control groups, but changes in the structure of the microbiota. Compared to the HC group, the AR group showed a significantly higher abundance of 1 phylum ( Actinobacteria ) and 7 genera ( Klebsiella , Prevotella and Staphylococcus , etc. ) and a significantly lower abundance of 1 genus ( Pelomonas ). Serum metabolomics revealed 26 different metabolites (Prostaglandin D2, 20-Hydroxy-leukotriene B4 and Linoleic acid, etc. ) and 16 disrupted metabolic pathways (Linoleic acid metabolism, Arachidonic acid metabolism and Tryptophan metabolism, etc. ). The combined respiratory microbiome and serum metabolomics datasets showed a degree of correlation reflecting the influence of the microbiome on metabolic activity. Our results show that microbiome and metabolomics analyses provide important candidate biomarkers, and in particular, differential genera in the microbiome have also been validated by random forest prediction models. Differential microbes and differential metabolites have the potential to be used as biomarkers for the diagnosis of allergic rhinitis.
Innovative Design of PLA Sandbag–Fiber Mesh Composite Wind Fences and Synergistic Windbreak Performance
Wind and sand disaster prevention is a critical challenge for global environmental sustainability, with mechanical wind fences being key engineering measures. Current fences, including solid and permeable types, often struggle to balance environmental impact, windbreak efficiency, and stability. Solid fences provide effective sand control but have limited windbreak efficiency, while permeable fences improve airflow but require deep burial and are prone to erosion on uneven terrain. This study proposes a novel composite wind fence with a polylactic acid (PLA) sandbag base and a fiber mesh top, combining stability and permeability. We assessed windbreak performance using computational fluid dynamics simulations and verified results through wind tunnel experiments. Results show that the novel composite wind fence enhances windbreak efficiency and stability by optimizing airflow distribution, with the PLA sandbag base suppressing high–speed airflow and mesh fence weakening of leeward side vortices. Under wind speeds of 10 m/s, 18 m/s, and 28 m/s, the effective protection distance of the novel composite wind fence improved by 22.33% to 36.51%, 10.96% to 34.22%, and 0.94% to 28.98%, respectively, compared to single PLA and mesh wind fence. The optimal row spacing for the novel wind fences in three rows is 12 h when the incoming wind speed is 10 m/s, while the recommended spacings are 8 h and 6 h for wind speeds of 18 m/s and 28 m/s, respectively, ensuring continuous and effective protection. These findings present a novel wind fence technology with improved wind resistance, a more stable structure, and prolonged protective effects, offering an effective solution for environmental conservation initiatives aimed at preventing wind and sand disasters while promoting the sustainability of ecosystems.
Respiratory diseases and the gut microbiota: an updated review
The gut microbiota constitutes a vital ecosystem within the human body playing a pivotal role in immune regulation and metabolic homeostasis. Emerging research underscores a sophisticated interplay between the gut and lungs, termed the “gut-lung axis.” Gut microbes exert influence over pulmonary immunity and metabolism via immune mediators (e.g., cytokines and interleukins), metabolites (e.g., short-chain fatty acids) and direct microbial translocation. Dysbiosis of the gut microbiota has been implicated in a spectrum of respiratory diseases, including asthma, chronic obstructive pulmonary disease (COPD), acute lung injury (ALI), Coronavirus Disease 2019 (COVID-19), lung cancer, idiopathic pulmonary fibrosis (IPF), pulmonary arterial hypertension (PAH), acute lower respiratory infection (ALRI) and tuberculosis (TB). Although multi-omics technologies have elucidated certain mechanisms underlying the gut-lung axis, numerous pathways remain to be fully delineated. This review synthesizes current knowledge on the role of gut microbiota and their metabolites in respiratory diseases and assesses their therapeutic potential. Future investigations should prioritize strategies to restore and maintain microbial homeostasis, such as dietary modifications, probiotic supplementation and fecal microbiota transplantation to pioneer novel preventive and therapeutic approaches. These summaries of advances in gut microbiology research promise better management and exploration of therapeutic strategies for respiratory diseases.
Vancomycin-lock therapy for prevention of catheter-related bloodstream infection in very low body weight infants
Background This study was to evaluate the effectiveness and safety of vancomycin- lock therapy for the prevention of catheter-related bloodstream infection (CRBSI) in very low body weight (VLBW) preterm infant patients. Methods One hundred and thirty-seven cases of VLBW preterm infants who retained peripherally inserted central catheters (PICCs) were retrospectively reviewed, including 68 treating with heparin plus vancomycin (vancomycin-lock group) and 69 with heparin only (control group). The incidence of CRBSI, related pathogenic bacteria, adverse events during the treatment, complications, antibiotic exposure, PICC usage time, hospital stay, etc. were compared between the above two groups. Results The incidence rate of CRBSI in the vancomycin-lock group (4.4%, 3/68) was significantly less than in the control group (21.7%, 15/69, p  = 0.004). Total antibiotic exposure time during the whole observation period was significantly shorter in the group than in the control group (11.2 ± 10.0 vs 23.6 ± 16.1 d; p  < 0.001). No hypoglycemia occurred during the locking, and the blood concentrations of vancomycin were not detectable. Conclusions Vancomycin-lock may effectively prevent CRBSI in Chinese VLBW preterm infants and reduce the exposure time of antibiotics, without causing obvious side complications.
Traversing Emotional Spaces: Social Media Affordances and Emotion Regulation in Times of Physical Isolation
People’s emotional life is increasingly interwoven with social media. Against the background of the COVID-19 pandemic and lockdown in China, this study investigated social media affordances enacted during people’s emotion regulation processes. By analyzing in-depth interviews with 27 Shanghai residents going through a 2-month lockdown, we identified intersections between social media affordances and different emotion regulation processes: selectivity and intrapersonal emotion regulation; visibility and emotional self-presentation; bandwidth and interpersonal emotion regulation; connectivity and collective emotion regulation. This study extended our knowledge of mediated emotion regulation processes and enriched our understanding of the dynamic relations between users, media technologies, and emotional and social contexts.
How Can Fund Leaders Utilize Organizational Networks to Enhance Organizational Sustainable Performance Using the Funds’ Co-Holding Network as a Tool
With the intensification of economic uncertainty and the increasingly fierce competition in the fund industry, how to use the organizational network to improve the sustainable performance of the fund has become a very urgent issue. However, most of the existing research focuses on the impact of the microstructure of a single social or business network before fund leaders make decisions on the performance of fund organizations, which has the defects of incomplete information sets and the inability of leaders to identify all information and then affect organizational learning and performance. This paper constructs two kinds of fund co-holding networks as two kinds of inter-fund organization networks based on the indirect relationship between the co-holding of large and small funds and the co-holding of large funds. The study not only overcomes the above defects, but also finds that: (a) the status and power of different organizations in the two networks are unbalanced in terms of the macro overall network, the meso community and the micro individual structure, and the “super excellent community” and “benchmark fund” group occupy the core position in the network. (b) With the fund co-holding network as a tool, fund leaders can reduce risks and improve the sustainable performance of funds by observing and learning the behaviors of excellent associations and benchmark funds in the network. We provides a reference for further understanding the characteristics of inter-fund organizational networks and the rational use of organizational networks by leaders of financial organizations for organizational learning and sustainable performance improvement.