FORMATION AND STABILITY OF NH4TIOF3 MESOCRYSTALS

Ph.DDOCTOR OF PHILOSOPH

Determination of focal mechanism solutions of the earthquakes with M≥4.0 occurred in the mainland of China during August to October 2023

In this paper，the regional full waveform inversion using the broadband waveforms recorded by China Seismic Network were conducted, and the focal mechanism solutions of the 26 earthquakes with M≥4.0 occurred in the mainland of China during August to October 2023 were obtained. The types of these focal mechanism solutions show 9 reverse faulting, 14 strike-slip faulting and 3 normal faulting

A Systems Biology-Based Investigation into the Pharmacological Mechanisms of Wu Tou Tang Acting on Rheumatoid Arthritis by Integrating Network Analysis

Aim. To investigate pharmacological mechanisms of Wu Tou Tang acting on rheumatoid arthritis (RA) by integrating network analysis at a system level. Methods and Results. Drug similarity search tool in Therapeutic Targets Database was used to screen 153 drugs with similar structures to compositive compounds of each ingredient in Wu Tou Tang and to identify 56 known targets of these similar drugs as predicted molecules which Wu Tou Tang affects. The recall, precision, accuracy, and F1-score, which were calculated to evaluate the performance of this method, were, respectively, 0.98, 0.61, 59.67%, and 0.76. Then, the predicted effector molecules of Wu Tou Tang were significantly enriched in neuroactive ligand-receptor interaction and calcium signaling pathway. Next, the importance of these predicted effector molecules was evaluated by analyzing their network topological features, such as degree, betweenness, and k-coreness. We further elucidated the biological significance of nine major candidate effector molecules of Wu Tou Tang for RA therapy and validated their associations with compositive compounds in Wu Tou Tang by the molecular docking simulation. Conclusion. Our data suggest the potential pharmacological mechanisms of Wu Tou Tang acting on RA by combining the strategies of systems biology and network pharmacology

The E3 Ubiquitin Ligase SCF(Cyclin F) Transmits AKT Signaling to the Cell-Cycle Machinery

The oncogenic AKT kinase is a key regulator of apoptosis, cell growth, and cell-cycle progression. Despite its important role in proliferation, it remains largely unknown how AKT is mechanistically linked to the cell cycle. We show here that cyclin F, a substrate receptor F-box protein for the SCF (Skp1/Cul1/F-box) family of E3 ubiquitin ligases, is a bona fide AKT substrate. Cyclin F expression oscillates throughout the cell cycle, a rare feature among the 69 human F-box proteins, and all of its known substrates are involved in proliferation. AKT phosphorylation of cyclin F enhances its stability and promotes assembly into productive E3 ligase complexes. Importantly, expression of mutant versions of cyclin F that cannot be phosphorylated by AKT impair cell-cycle entry. Our data suggest that cyclin F transmits mitogen signaling through AKT to the core cell-cycle machinery. This discovery has potential implications for proliferative control in malignancies where AKT is activated

Small RNA AvrA Regulates IscR to Increase the Stress Tolerances in SmpB Deficiency of Aeromonas veronii

The superbacteria Aeromonas veronii displays not only a strong pathogenicity but also the resistance to nine kinds of antibiotics, resulting in the economic losses and health hazards. Small Protein B (SmpB) plays an important role in protein quality control, virulence, and stress reactions. Transcriptomic data revealed that expressions of the type IV pilus assembly and type VI secretion system (T6SS) proteins were downregulated in SmpB deficiency, indicating that the virulence of A. veronii might be attenuated. Although SmpB deletion decreased colonization in the mouse spleen and liver, LD50 of the smpB mutant was not altered as expected, compared with the wild type. Further, the transcriptomic and quantitative RT-PCR analyses showed that the combination of the downregulated AvrA and the upregulated iron-sulfur protein activator IscR, mediated the oxidative tolerance in smpB deletion. Next a reporter plasmid was constructed in which the promoter of iscR was applied to control the expression of the enhanced green fluorescent protein (eGFP) gene. When the reporter plasmid was co-expressed with the AvrA expression into E. coli, the relative fluorescence intensity was decreased significantly, suggesting that AvrA bound to iscR mRNA by base pairing, which in turn relieved the inhibition of iscR and intensified the downstream iron-sulfur proteins. Collectively, the smpB mutant exhibited an attenuated virulence in mice and enhanced tolerances to oxidative stress. This study demonstrates the complexity of gene regulation networks mediated by sRNA in systems biology, and also reflects the strong adaptability of superbacteria A. veronii in the process of evolution

AKTIVITAS ANTIOKSIDAN SEDIAAN NANOPARTIKEL KITOSAN EKSTRAK ETANOL KELOPAK ROSELA (Hibiscus sabdariffa L) PADA TIKUS HIPERKOLESTEROL : PENGUKURAN KADAR MALONDIALDEHID (MDA)

Hypercholesterolemia can induce oxidative stress and are associated with atherosclerosis and other cardiovascular disorders. Administration of a preparation of chitosan nanoparticles roselle extract (NKER) can prevent oxidative stress because it contains flavonoids which have an effect as an antioxidant anthocyanin. Decreased oxidative stress can be determined by measuring the levels of malondealdehid (MDA) produced by the reaction of lipid peroxidation. The purpose of this study was to determine the effect of administration of a preparation of chitosan nanoparticles roselle calyx ethanol extract of antioxidant activity by measuring the levels of MDA. This study used 25 adult rats of Sprague Dawley strain were divided into 5 groups. The first group was given a standard feed diet as baseline, group II was induced with pure cholesterol. Group III, IV and V induced pure cholesterol as well as the dosage given NKER with successive doses of 25 mg/kg, 50 mg/kg and 100 mg/KgBB. The treatment was done for 30 days. On day - 31 each rat blood taken for measurement of total cholesterol, as well as the measurement of MDA using thiobarbituric acid reactive substance (TBARS). The results showed an increase in levels of MDA in mice induced pure cholesterol (group II) with a mean concentration of 7.13 ± 0.22 nmol / ml significantly different to the baseline with a mean concentration of 0.87 ± 0.77 nmol / ml (p≤0,05). The mean levels of MDA in group III, IV and V respectively was 5.49 ± 0.18 nmol / ml; 4.18 ± 0.37 nmol / ml; and 2.18 ± 0.15 nmol / ml,significantly different when compared with the baseline group and the group II (p≤0,05). Decreased levels of MDA in mice given dosage NKER hypercholesterolemia showed that nker preparations have antioxidant activity, which is owned by the highest antioxidant activity NKER dosage dose 100mg/KgBB. Keywords : Antioxidant, Nanoparticles, Roselle, malondialdehyd

Learning in Hybrid-Project Systems: The Effects of Project Performance on Repeated Collaboration

This study advances contingency theories of performance-outcome learning in hybrid-project systems, in which both project participants and superordinate organizations influence the formation of project ventures. We propose that performance-outcome learning depends on the perceived relevance of prior performance and on organizational control over project participants. We examine this framework using data on 239 U.S. movie projects from the years 1931-40. In keeping with our theory, higher project performance led to future collaborations with the same partners, contingent on prior collaborations, project similarity, and organizational control. Our findings imply distinct patterns of network evolution and unfolding adaptation of hybrid-project systems through slow-moving, local adjustments

Impact of lockdown on the growth of children in China aged 3-6 years during the COVID-19 pandemic

BackgroundLockdowns in COVID-19 pandemic led to less physical activity and more intake of unhealthy food in children. The aim of this study was to investigate the negative impact of major lockdowns on the growth of children aged 3-6 years during COVID-19 pandemic period.MethodsPhysical examination results in 2019 to 2022 from 5834 eligible children (2972 males and 2862 females) from Southwestern China who were 3 years old in 2019 were retrospectively collected. Height and weight data points were extracted from the results, and percentiles of height (height%), weight (weight%), and BMI (BMI%), and rates of overweight and obesity were calculated and compared between different years during the pandemic.ResultsAfter analyzing the 15404 growth data points from 5834 children, a slowly increasing trend of height% from 2019 to 2022 was observed. Weight%, BMI%, overweight rate, obesity rate, and combined overweight and obesity rate had two peaks in 2020 and 2022 when major lockdowns were adopted and a drop in between (year 2021), except for obesity rate which did not drop in 2021. Similar results were shown after stratification by gender.ConclusionThe lockdowns in COVID-19 pandemic promoted obesity of kindergarten children, but did not show any negative impact on their height growth possibly due to over-nutrition of children during lockdowns. More efforts need to be made to limit the increase of obesity rate in kindergarten children during possible future lockdowns

A Systems Biology-Based Classifier for Hepatocellular Carcinoma Diagnosis

AIM: The diagnosis of hepatocellular carcinoma (HCC) in the early stage is crucial to the application of curative treatments which are the only hope for increasing the life expectancy of patients. Recently, several large-scale studies have shed light on this problem through analysis of gene expression profiles to identify markers correlated with HCC progression. However, those marker sets shared few genes in common and were poorly validated using independent data. Therefore, we developed a systems biology based classifier by combining the differential gene expression with topological features of human protein interaction networks to enhance the ability of HCC diagnosis. METHODS AND RESULTS: In the Oncomine platform, genes differentially expressed in HCC tissues relative to their corresponding normal tissues were filtered by a corrected Q value cut-off and Concept filters. The identified genes that are common to different microarray datasets were chosen as the candidate markers. Then, their networks were analyzed by GeneGO Meta-Core software and the hub genes were chosen. After that, an HCC diagnostic classifier was constructed by Partial Least Squares modeling based on the microarray gene expression data of the hub genes. Validations of diagnostic performance showed that this classifier had high predictive accuracy (85.88∼92.71%) and area under ROC curve (approximating 1.0), and that the network topological features integrated into this classifier contribute greatly to improving the predictive performance. Furthermore, it has been demonstrated that this modeling strategy is not only applicable to HCC, but also to other cancers. CONCLUSION: Our analysis suggests that the systems biology-based classifier that combines the differential gene expression and topological features of human protein interaction network may enhance the diagnostic performance of HCC classifier