Development and evaluation of a panel of newly screened Y chromosome InDels for inferring paternal ancestry information in Southwest China.

Y-InDels (insertions/deletions) are genetic markers which are extremely understudied. It is unknown whether this type of markers can be utilized for genetic ancestry inference. We have developed an innovative Y chromosome ancestry inference system tailored for forensic applications. This panel amplifies 21 Y chromosome loci, encompassing Y-InDels and Y-SNPs (Single Nucleotide Polymorphism), utilizing the capillary electrophoresis (CE) platform. The system performed well at DNA concentrations greater than 0.125 ng/ul and produced accurate results at a 1:100 mixing ratio of male and female DNA. The Cumulative probability of matching (CPM) was between 0.95 and 0.97 in the experimental population. The system's efficacy in inferring ancestral origins was demonstrated through intercontinental population discrimination, revealing high discrimination power between African and East Asian populations. Population genetic analyses conducted on Han, Qiang and Hui populations in Southwest China, where the smallest FST value was 0.0002 between Han Chinese in Beijing (from 1000 Genomes Project) and Qiang Chinese from Sichuan (CQSC). Phylogenetic tree construction further illuminated distinct haplotypes among populations, with ethnically unique haplotypes observed in 34.6% of Hui and 7.1% of Qiang populations. K-fold cross-validation show the system's inference abilities at the intercontinental level. In addition, our investigations identified potential associations between the Y-InDel locus Y: 15,385,547 (GRCh37) and haplogroup R1a1a1b2a2- Z2124, as well as locus Y: 13,990,180 (GRCh37) and haplogroup F-M89. In conclusion, we have established a Y-chromosome inference system tailored for grassroots-level application, underscoring the value of incorporating Y-InDel markers in forensic analyses.

Global health impacts of high BMI: A 30-Year analysis of trends and disparities across regions and Demographics.

OBJECTIVE: This study explores the global disease burden associated with high Body Mass Index (BMI) from 1990 to 2021, using data from the Global Burden of Disease Study 2021 (GBD 2021). METHODS: We applied Joinpoint regression to assess trends in deaths and Disability-Adjusted Life Years (DALYs) and employed ARIMA models to project future BMI-related burdens. RESULTS: From 1990 to 2021, global deaths linked to high BMI surged by 153.97%, rising from 1.46 million to 3.71 million. DALYs increased by 167.57%, with the highest rises in North Africa, the Middle East, and South Asia. Women, particularly those aged 75 and above, experienced the most significant burden, with a faster rate of increase in disease burden compared to men post-2000. Future projections indicate a continued rise in BMI-related health impacts, particularly in low- and middle-income countries. CONCLUSIONS: The global disease burden attributable to high BMI is increasing rapidly, particularly in low- and middle-income regions. Targeted public health interventions, especially for women and the elderly, are crucial to addressing this growing health challenge.

Qingxuan Runmu Yin alleviates dry eye disease via inhibition of the HMOX1/HIF-1 pathway affecting ferroptosis.

The prevalence of dry eye disease (DED), a multifactorial ocular surface disease characterized by tear film instability, is increasing yearly. Qingxuan Run Mu Yin (QXRMY) is a traditional Chinese medicine (TCM) consisting of Radix Rehmanniae, Radix Scrophulariae, Rhizoma Atractylodis macrocephalae, Herba Dendrobii, Flos Lonicerae, Forsythia suspensa, Ophiopogon japonicus, Saposhnikovia divaricata, Radix Platycodi, and Radix Glycyrrhizae. It has excellent therapeutic effects on dry eye syndrome and a good anti-inflammatory effect on immune-related inflammation. However, the molecular mechanism of Qing Xuan Run Mu Yin in treating dry eye syndrome is largely unknown. The present study used an online database to identify potential target genes of QXRMY for treating DED. The possible mechanisms of these target genes for the treatment of DED were obtained through Gene Ontology (GO) and Kyoto Encyclopaedia of Genes and Genomes (KEGG) databases, Hub genes screened by Cytoscape and intersected with ferroptosis-related genes, and the essential genes were finally obtained based on the results of the analyses. DED cell model and rat model were constructed in this study to validate the critical genes and pathways, and it was confirmed that QXEMY alleviated DED by repressing ferroptosis through inhibiting the HMOX1/HIF-1 pathway. In conclusion, this study integrated network pharmacological analyses and experimental validation to provide an effective method to investigate the molecular mechanism of QXRMY in treating DED.

A multiplex microbial profiling system for the identification of the source of body fluid and skin samples.

Determining the source of body fluids is crucial in forensic investigations, as it provides valuable information about suspects and the nature of the crime. Microbial markers that trace the source of tissues and body fluids based on site specificity and temporal stability are often used effectively for this purpose. In this study, a multiplex system comprising seven microbial markers (Finegoldia magna, Corynebacterium tuberculostearicum, Cutibacterium acnes, Haemophilus parainfluenzae, Streptococcus oralis, Prevotella melaninogenica and Faecalibacterium prausnitzii) was developed to distinguish between skin, saliva, and feces samples. Based on these markers, the system produces electropherograms that are specific for each sample type. We collected 492 samples from six different skin sites (palm, antecubital crease, inguinal crease, cheek, upper back, and toe web space), the buccal mucosa, and stool were collected to further test the system. Beta diversity analysis revealed distinct clustering among the three sample groups. Additionally, skin microenvironment cluster analysis was used to identify skin sites accurately. This analysis classified skin samples into four distinct microenvironments: dry, moist, oily, and foot. Finally, we established a machine learning prediction model based on random forest regression to identify the skin microenvironment, achieving an overall prediction accuracy of 79 %. The multiplex system developed in this study accurately identifies the sources of body fluids, and the skin microenvironment. These findings offer new insights into the application of microbial markers in forensic science.

Developmental validation of the AGCU YNFS Y Kit: A new 6-dye multiplex system with 44 Y-STRs and 5 Y-InDels for forensic application.

With the widespread use of the Y chromosome in genetics, a lot of commercially available Y chromosome kits were developed, validated, and applied to forensic science practice. The AGCU YNFS Y Kit is a new Y chromosome system containing forty-four preferred Y short tandem repeats (Y-STRs) and five common Y-InDels. In this study, the AGCU YNFS Y system was validated to verify its performance by following the guidelines of the Scientific Working Group on DNA Analysis Methods (SWGDAM). A series of validation experiments included the following parameters: PCR-based studies, sensitivity studies, species specificity studies, stability studies, mixture studies, precision studies, stutter calculation, mutation and statistical analysis, population study, and case samples and degradation studies. The results suggested that appropriately changing PCR amplification conditions did not affect genotyping; the kit had good sensitivity for trace amounts of DNA (0.0625 ng), mixtures of multiple male individuals (minor: major = 1: 9), and three PCR inhibitors (more than 250 µM hematin, 250 ng/µL humic acid and 50 ng/µL tannic acid). The maximum standard deviation of allele size did not exceed 0.1552 reflecting the high accuracy of the system. By this, 87 DNA-confirmed pairs of father-son pairs were also analyzed for mutations. A total of 18 loci were mutated, with mutation rates ranging from 11.5×10-3 to 34.5×10-3 (95% CI 7.2×10-3-97.5×10-3, DYS627 and DYF404S1). In the population study, the haplotype diversity of 87 unrelated individuals was 0.9997, and discrimination capacity was 0.9885. Degradation studies have demonstrated that UV-C light exposure for up to 120 hours has no effect on male blood and semen-vaginal secretion mixtures. However, complete typing could no longer be obtained after 48 hours of UV exposure in single male saliva and in male saliva and female blood mixed samples. Collectively, the AGCU YNFS Y Kit is sensitive and accurate and can play its application value in forensic science practice.

Chlorogenic acid alleviate kidney fibrosis through regulating TLR4/NF-қB mediated oxidative stress and inflammation.

ETHNOPHARMACOLOGICAL RELEVANCE: Chlorogenic acid (CGA), a phenolic acid produced by the interaction of Caffeic acid and Quinic acid, is considered to be the main active ingredient in many heat-clearing and detoxifying Chinese medicines, such as honeysuckle, Houttuynia, Artemisia annua, Gardenia, etc. CGA has anti-inflammatory, antioxidant, anticancer, antibacterial and other properties. However, the effect and process of CGA in kidney fibrosis remain unknown. AIM OF THE STUDY: To investigate the therapeutic effects of CGA on alleviating kidney fibrosis and the underlying mechanisms. MATERIALS AND METHODS: C57BL/6 mouse kidney fibrosis model was established by unilateral uretera obstruction (UUO), followed by treatment with CGA (40, 80 mg/kg/d) for 10 days. The serum and kidney tissue were collected. Network pharmacology, molecular docking and transcriptomic analysis were conducted to explore the possible mechanisms. The HK-2 cells were cultured and treated with TGF-ß1(10 ng/mL) and CGA (50, 100 µM), to examine the role of TLR4/NF-қB signaling pathway in the therapeutic effect of CGA on kidney fibrosis. RESULTS: CGA significantly alleviated kidney injury, inflammation, oxidative stress and fibrosis in UUO models. CGA also effectively inhibited the expression of inflammatory factors and the process of oxidative stress both in vivo and in vitro fibrosis models. Further, transcriptomic analysis, molecular docking, and network pharmacology results indicated that the therapeutic effect of CGA on fibrosis was through the regulation of TLR4/NF-қB signaling pathway. CONCLUSION: CGA might provide benefits for the regulation of inflammatory response, oxidative stress and fibrogenesis by modulating TLR4/NF-қB signaling pathway on kidney fibrosis. Hence, CGA is an attractive agent for treating kidney fibrosis. The present study provided a basis for further research on the therapeutic strategies of kidney fibrosis.

Potential risk assessment and occurrence characteristic of heavy metals based on artificial neural network model along the Yangtze River Estuary, China.

Pollution from heavy metals in estuaries poses potential risks to the aquatic environment and public health. The complexity of the estuarine water environment limits the accurate understanding of its pollution prediction. Field observations were conducted at seven sampling sites along the Yangtze River Estuary (YRE) during summer, autumn, and winter 2021 to analyze the concentrations of seven heavy metals (As, Cd, Cr, Pb, Cu, Ni, Zn) in water and surface sediments. The order of heavy metal concentrations in water samples from highest to lowest was Zn > As > Cu > Ni > Cr > Pb > Cd, while that in surface sediments samples was Zn > Cr > As > Ni > Pb > Cu > Cd. Human health risk assessment of the heavy metals in water samples indicated a chronic and carcinogenic risk associated with As. The risks of heavy metals in surface sediments were evaluated using the geo-accumulation index (Igeo) and potential ecological risk index (RI). Among the seven heavy metals, As and Cd were highly polluted, with Cd being the main contributor to potential ecological risks. Principal component analysis (PCA) was employed to identify the sources of the different heavy metals, revealing that As originated primarily from anthropogenic emissions, while Cd was primarily from atmospheric deposition. To further analyze the influence of water quality indicators on heavy metal pollution, an artificial neural network (ANN) model was utilized. A modified model was proposed, incorporating biochemical parameters to predict the level of heavy metal pollution, achieving an accuracy of 95.1%. This accuracy was 22.5% higher than that of the traditional model and particularly effective in predicting the maximum 20% of values. Results in this paper highlight the pollution of As and Cd along the YRE, and the proposed model provides valuable information for estimating heavy metal pollution in estuarine water environments, facilitating pollution prevention efforts.

Identification of superior and rare haplotypes to optimize branch number in soybean.

KEY MESSAGE: Using the integrated approach in the present study, we identified eleven significant SNPs, seven stable QTLs and 20 candidate genes associated with branch number in soybean. Branch number is a key yield-related quantitative trait that directly affects the number of pods and seeds per soybean plant. In this study, an integrated approach with a genome-wide association study (GWAS) and haplotype and candidate gene analyses was used to determine the detailed genetic basis of branch number across a diverse set of soybean accessions. The GWAS revealed a total of eleven SNPs significantly associated with branch number across three environments using the five GWAS models. Based on the consistency of the SNP detection in multiple GWAS models and environments, seven genomic regions within the physical distance of ± 202.4 kb were delineated as stable QTLs. Of these QTLs, six QTLs were novel, viz., qBN7, qBN13, qBN16, qBN18, qBN19 and qBN20, whereas the remaining one, viz., qBN12, has been previously reported. Moreover, 11 haplotype blocks, viz., Hap4, Hap7, Hap12, Hap13A, Hap13B, Hap16, Hap17, Hap18, Hap19A, Hap19B and Hap20, were identified on nine different chromosomes. Haplotype allele number across the identified haplotype blocks varies from two to five, and different branch number phenotype is regulated by these alleles ranging from the lowest to highest through intermediate branching. Furthermore, 20 genes were identified underlying the genomic region of ± 202.4 kb of the identified SNPs as putative candidates; and six of them showed significant differential expression patterns among the soybean cultivars possessing contrasting branch number, which might be the potential candidates regulating branch number in soybean. The findings of this study can assist the soybean breeding programs for developing cultivars with desirable branch numbers.

Identification and functional analysis of circpdlim5a generated from pdlim5a gene splicing in the skeletal muscle of Japanese flounder (Paralichthys olivaceus).

Circular RNAs (circRNAs) are non-coding RNAs with endogenous regulatory functions, including regulating skeletal muscle development. However, its role in the development of skeletal muscle in Japanese flounder (Paralichthys olivaceus) is not clear. Therefore we screened a candidate circpdlim5a, which is derived from the gene pdlim5a, from the skeletal muscle transcriptome of Japanese flounder. We characterized circpdlim5a, which was more stable compared to the linear RNA pdlim5a. Distributional characterization of circpdlim5a showed that circpdlim5a was predominantly distributed in the nucleus and was highly expressed in the skeletal muscle of adult Japanese flounder (24 months). When we further studied the circpdlim5a function, we found that it inhibited the expression of proliferation and differentiation genes according to the over-expression experiment of circpdlim5a in myoblasts. We concluded that circpdlim5a may inhibit the proliferation and differentiation of myoblasts and thereby inhibit skeletal muscle development in Japanese flounder. This experiment provides information for the study of circRNAs by identifying circpdlim5a and exploring its function, and offers clues for molecular breeding from an epigenetic perspective.

MutL homolog 1 participates in interference-sensitive meiotic crossover formation in soybean.

MutL homolog 1 (MLH1), a member of the MutL homolog family, is required for normal recombination in most organisms. However, its role in soybean (Glycine max) remains unclear to date. Here, we characterized the Glycine max female and male sterility 1 (Gmfms1) mutation that reduces pollen grain viability and increases embryo sac abortion in soybean. Map-based cloning revealed that the causal gene of Gmfms1 is Glycine max MutL homolog 1 (GmMLH1), and CRISPR/Cas9 knockout approach further validated that disruption of GmMLH1 confers the female-male sterility phenotype in soybean. Loss of GmMLH1 function disrupted bivalent formation, leading to univalent mis-segregation during meiosis and ultimately to female-male sterility. The Gmmlh1 mutant showed about a 78.16% decrease in meiotic crossover frequency compared to the wild type. The residual chiasmata followed a Poisson distribution, suggesting that interference-sensitive crossover formation was affected in the Gmmlh1 mutant. Furthermore, GmMLH1 could interact with GmMLH3A and GmMLH3B both in vivo and in vitro. Overall, our work demonstrates that GmMLH1 participates in interference-sensitive crossover formation in soybean, and provides additional information about the conserved functions of MLH1 across plant species.

What role does GPR65 play in the progression of osteosarcoma? Its mechanism and clinical significance.

BACKGROUND: GPR65 is a pH-sensing G-protein-coupled receptor that acts as a key innate immune checkpoint in the human tumor microenvironment, inhibiting the release of inflammatory factors and inducing significant upregulation of tissue repair genes. However, the expression pattern and function of GPR65 in osteosarcoma (OS) remain unclear. The purpose of this study was to investigate and elucidate the role of GPR65 in the microenvironment, proliferation and migration of OS. METHODS: Retrospective RNA-seq data analysis was conducted in a cohort of 97 patients with OS data in the TAEGET database. In addition, single-cell sequencing data from six surgical specimens of human OS patients was used to analyze the molecular evolution process during OS genesis. Tissues chips and bioinformatics results were used to verify GPR65 expression level in OS. MTT, colony formation, EdU assay, wound healing, transwell assay and F-actin assay were utilized to analyze cell proliferation and invasion of OS cancer cells. RNA-seq was used to explore the potential mechanism of GPR65's role in OS. RESULTS: GPR65 expression was significantly low in OS, and subgroup analysis found that younger OS patients, OS patients in metastatic status, and overall survival and progression free survival OS patients had lower GPR65 expression. From ScRNA-seq data of GSE162454, we found the expression of GPR65 is significantly positively correlated with CD4 + T cells CD8 + T cells and OS related macrophage infiltration. Verification experiment found that silencing the expression of GPR65 in osteosarcoma cells U2OS and HOS could promote the proliferation and invasion process, RNA-seq results showed that the role of GPR65 in OS cells was related to immune system, metabolism and signal transduction. CONCLUSION: The low expression of GPR65 in OS leads to high metastasis rate and poor prognosis in OS patients. The suppression of immune escape and inhibition of proliferation may be a key pathway for GPR65 to participate in the progression of OS. The current study strengthens the role of GPR65 in OS development and provides a potential biomarker for the prognosis of OS patients.

Association between GSTP1 I105V polymorphisms and responses to GSTP1 inhibitor treatment: in silico and in vitro insights.

Glutathione S-transferase P1 (GSTP1) has gradually become a promising target for cancer prevention and treatment. However, subtle variations in GSTP1 can lead to the occurrence of single nucleotide polymorphisms (SNPs). The correlation between specific genotypes of GSTP1 and the clinical outcome of the disease has been extensively investigated, demonstrating a significant area of research in this field. However, their impact on the responses to GSTP1 inhibitor treatment remains to be elucidated. Among the various SNPs of GSTP1, I105V polymorphisms is the most widely studied. In this study, a silico model of GSTP1 I105V polymorphism was successfully established to predict the changes of binding model and binding affinity between GSTP1 I105(WT) or GSTP1 V105 and ethacrynic acid via molecular docking and molecular dynamics, and ultimately further evaluated for its anticancer effects. The result demonstrated that the binding capacity of ethacrynic acid decreases with the I105V mutation of GSTP1, indicating the changes in its anticancer activities. Cancer cells expressing GSTP1 V105 may exhibit greater tolerance to ethacrynic acid-induced toxicity compared to other genotypes. In summary, this study provides the first evidence that the GSTP1 I105V polymorphism may impact cancer cell sensitivity to its inhibitor through theoretical prediction. Furthermore, a comprehensive understanding of the correlation between GSTP1 I105V polymorphisms and responses to GSTP1 inhibitor treatment would offer valuable insights for future drug development targeting GSTP1 in cancer-related diseases.Communicated by Ramaswamy H. Sarma.

Predictions of heavy metal concentrations by physiochemical water quality parameters in coastal areas of Yangtze river estuary.

Due to the degradation-resistant and strong toxicity, heavy metals pose a serious threat to the safety of water environment and aquatic ecology. Rapid acquisition and prediction of heavy metal concentrations are of paramount importance for water resource management and environmental preservation. In this study, heavy metal concentrations (Cr, Ni, Cu, Pb, Zn, Cd) and physicochemical parameters of water quality including Temperature (Temp), pH, Oxygen redox potential (ORP), Dissolved oxygen (DO), Electrical conductivity (EC), Electrical resistivity (RES), Total dissolved solids (TDS), Salinity (SAL), Cyanobacteria (BGA-PE), and turbidity (NTU) were measured at seven stations in the Yangtze river estuary. Principal Component Analysis (PCA) and Spearman correlation analysis were employed to analyze the main factors and sources of heavy metals. Results of PCA revealed that the main sources of Cr, Ni, Zn, and Cd were steel industry wastewater, domestic and industrial sewage, whereas shipping and vessel emissions were typically considered sources of Pb and Cu. Spearman correlation analysis identified Temp, pH, ORP, EC, RES, TDS, and SAL as the key physicochemical parameters of water quality, exhibiting the strongest correlation with heavy metal concentrations in sediment and water samples. Based on these results, multiple linear regression as well as non-linear models (SVM and RF) were constructed for predicting heavy metal concentrations. The results showed that the results of the nonlinear model were more suitable for predicting the concentrations of most heavy metals than the linear model, with average R values of the SVM test set and RF test set being 0.83 and 0.90. The RF model showed better applicability for simulating the concentration of heavy metals along the Yangtze river estuary. It was demonstrated that non-linear research methods provided efficient and accurate predictions of heavy metal concentrations in a simple and rapid manner, thereby offering decision-making support for watershed managers.

Process Optimization of Polishing Titanium Alloy Material with a Pulsating Air Jet.

Titanium alloy is a widely used metal material, which can be applied in fields such as healthcare, petroleum exploration, aerospace, etc. In this paper, a new method for polishing the titanium alloy by a pulsating air jet is proposed. Compared with traditional abrasive jet polishing, this method has the advantages of simple structure, low nozzle wear, and high polishing flexibility. The working principle and material removal mechanism of the pulsating air jet polishing (PAJP) are introduced. Combined with orthogonal experiments, range analysis and variance analysis were used to find out the influence degree of each process parameter on the PAJP of titanium alloy, and the optimal level of each parameter was found. Through the experiments, a prediction model of surface roughness was established by regression analysis, and the predicted value was compared with the measured value. The maximum relative error of the prediction model was 10.3%, and the minimum relative error was 1.1%. The average relative error was 6.2%.

GmUFO1 Regulates Floral Organ Number and Shape in Soybean.

The UNUSUAL FLORAL ORGANS (UFO) gene is an essential regulatory factor of class B genes and plays a vital role in the process of inflorescence primordial and flower primordial development. The role of UFO genes in soybean was investigated to better understand the development of floral organs through gene cloning, expression analysis, and gene knockout. There are two copies of UFO genes in soybean and in situ hybridization, which have demonstrated similar expression patterns of the GmUFO1 and GmUFO2 genes in the flower primordium. The phenotypic observation of GmUFO1 knockout mutant lines (Gmufo1) showed an obvious alteration in the floral organ number and shape and mosaic organ formation. By contrast, GmUFO2 knockout mutant lines (Gmufo2) showed no obvious difference in the floral organs. However, the GmUFO1 and GmUFO2 double knockout lines (Gmufo1ufo2) showed more mosaic organs than the Gmufo1 lines, in addition to the alteration in the organ number and shape. Gene expression analysis also showed differences in the expression of major ABC function genes in the knockout lines. Based on the phenotypic and expression analysis, our results suggest the major role of GmUFO1 in the regulation of flower organ formation in soybeans and that GmUFO2 does not have any direct effect but might have an interaction role with GmUFO1 in the regulation of flower development. In conclusion, the present study identified UFO genes in soybean and improved our understanding of floral development, which could be useful for flower designs in hybrid soybean breeding.

Genetic variation in ZmWAX2 confers maize resistance to Fusarium verticillioides.

Fusarium verticillioides (F. verticillioides) is a widely distributed phytopathogen that incites multiple destructive diseases in maize, posing a grave threat to corn yields and quality worldwide. However, there are few reports of resistance genes to F. verticillioides. Here, we reveal that a combination of two single nucleotide polymorphisms (SNPs) corresponding to ZmWAX2 gene associates with quantitative resistance variations to F. verticillioides in maize through a genome-wide association study. A lack of ZmWAX2 compromises maize resistance to F. verticillioides-caused seed rot, seedling blight and stalk rot by reducing cuticular wax deposition, while the transgenic plants overexpressing ZmWAX2 show significantly increased immunity to F. verticillioides. A natural occurrence of two 7-bp deletions within the promoter increases ZmWAX2 transcription, thus enhancing maize resistance to F. verticillioides. Upon Fusarium stalk rot, ZmWAX2 greatly promotes the yield and grain quality of maize. Our studies demonstrate that ZmWAX2 confers multiple disease resistances caused by F. verticillioides and can serve as an important gene target for the development of F. verticillioides-resistant maize varieties.

Expression analysis and targets prediction of microRNAs in OGD/R treated astrocyte-derived exosomes by smallRNA sequencing.

Astrocytes activate and crosstalk with neurons influencing inflammatory responses following ischemic stroke. The distribution, abundance, and activity of microRNAs in astrocytes-derived exosomes after ischemic stroke remains largely unknown. In this study, exosomes were extracted from primary cultured mouse astrocytes via ultracentrifugation, and exposed to oxygen glucose deprivation/re­oxygenation injury to mimic experimental ischemic stroke. SmallRNAs from astrocyte-derived exosomes were sequenced, and differentially expressed microRNAs were randomly selected and verified by stem-loop real time quantitative polymerase chain reaction. We found that 176 microRNAs, including 148 known and 28 novel microRNAs, were differentially expressed in astrocyte-derived exosomes following oxygen glucose deprivation/re­oxygenation injury. In gene ontology enrichment, Kyoto encyclopedia of genes and genomes pathway analyses, and microRNA target gene prediction analyses, these alteration in microRNAs were associated to a broad spectrum of physiological functions including signaling transduction, neuroprotection and stress responses. Our findings warrant further investigating of these differentially expressed microRNAs in human diseases particularly ischemic stroke.

Squalene epoxidase promotes hepatocellular carcinoma development by activating STRAP transcription and TGF-ß/SMAD signalling.

BACKGROUND AND PURPOSE: Squalene epoxidase (SQLE) is a key enzyme involved in cholesterol biosynthesis, but growing evidence also reveals that SQLE is abnormally expressed in some types of malignant tumours, even though the underlying mechanism remains poorly understood. EXPERIMENTAL APPROACH: Bioinformatics analysis and RNA sequencing were applied to detect differentially expressed genes in clinical hepatocellular carcinoma (HCC). MTT, colony formation, AnnexinV-FITC/PI, EdU, wound healing, transwell, western blot, qRT-PCR, IHC, F-actin, RNA-sequencing, dual-luciferase reporters, and H&E staining were used to investigate the pharmacological effects and possible mechanisms of SQLE. KEY RESULTS: SQLE expression was specifically elevated in HCC, correlating with poor clinical outcomes. SQLE significantly promoted HCC growth, epithelial-mesenchymal transition, and metastasis both in vitro and in vivo. RNA sequencing and functional experiments revealed that the protumourigenic effect of SQLE on HCC was closely related to the activation of TGF-ß/SMAD signalling, but the stimulatory effect of SQLE on TGF-ß/SMAD signalling and HCC development is critically dependent on STRAP. SQLE expression is well correlated with STRAP in HCC, and further, to amplify TGF-ß/SMAD signalling, SQLE even transcriptionally increased STRAP gene expression mediated by AP-2α. Finally, as a chemical inhibitor of SQLE, NB-598 markedly inhibited HCC cell growth and tumour development. CONCLUSIONS AND IMPLICATIONS: Taken together, SQLE serves as a novel oncogene in HCC development by activating TGF-ß/SMAD signalling. Targeting SQLE could be useful in drug development and therapy for HCC.

The influencing factors of participation in time banking volunteer service for older adults among university students in Nanjing, China.

Objective: This study aims to identify factors influencing university students' participation in time banking volunteer services for older adults and provides evidence to promote the involvement. Methods: Conducted in November 2022, we utilized a convenience sampling method to recruit students from the School of Aging Service and Management at Nanjing University of Chinese Medicine, China. Data was collected through an online questionnaire focusing on various aspects related to time banking volunteer services for older adults. Factor analysis was employed to extract variables, and logistic regression was applied to identify key determinants. Results: A significant majority (82.67%) of participants expressed willingness to engage in volunteer services for older adults. Factor analysis uncovered six influential factors explaining 62.55% of the variance. Logistic regression highlighted four key determinants of students' willingness: value judgment (OR = 4.392, CI = 2.897-6.658), social support (OR = 1.262, CI = 0.938-1.975), social influence (OR = 1.777, CI = 1.598-3.799), and socioeconomic conditions (OR = 1.174, CI = 1.891-3.046). Conclusion: To foster sustainability and continuous time banking among university students majoring in aging service and management, a multifaceted support involving governmental, social, and university is recommended.

Interactive genetic color matching design of cultural and creative products considering color image and visual aesthetics.

To optimize the colors used in cultural and creative products, this paper proposes a color matching design method that considers the color image and visual aesthetics. First, 99 color samples are identified based on Chinese traditional colors, and user preferences for 30 image semantic terms are measured by the semantic differential method. This leads to six color image factors being extracted by factor analysis. Second, quantitative analysis of the color visual aesthetics is applied, and formulas for calculating the harmony, balance, and symmetry are derived. On this basis, an interactive genetic algorithm is developed to promote and optimize the color scheme of cultural and creative products, and a fitness function based on subjective image evaluation and objective visual aesthetics is constructed. The subjective image evaluation adopts interval numbers, and a grayscale approach is used to measure the uncertainty of the subjective evaluation. Through grayscale analysis of the interval fitness values, information reflecting the evolutionary distribution of the population is extracted, before adaptive crossover and mutation probabilities are applied to the evolutionary individuals. Finally, the proposed method is verified through the example of color matching design for a speaker box. The results demonstrate that the proposed approach can effectively assist industrial designers.