Identification of Breast Cancer Subtypes Based on Endoplasmic Reticulum Stress-Related Genes and Analysis of Prognosis and Immune Microenvironment in Breast Cancer Patients.

Introduction: Endoplasmic reticulum stress (ERS) was a response to the accumulation of unfolded proteins and plays a crucial role in the development of tumors, including processes such as tumor cell invasion, metastasis, and immune evasion. However, the specific regulatory mechanisms of ERS in breast cancer (BC) remain unclear. Methods: In this study, we analyzed RNA sequencing data from The Cancer Genome Atlas (TCGA) for breast cancer and identified 8 core genes associated with ERS: ELOVL2, IFNG, MAP2K6, MZB1, PCSK6, PCSK9, IGF2BP1, and POP1. We evaluated their individual expression, independent diagnostic, and prognostic values in breast cancer patients. A multifactorial Cox analysis established a risk prognostic model, validated with an external dataset. Additionally, we conducted a comprehensive assessment of immune infiltration and drug sensitivity for these genes. Results: The results indicate that these eight core genes play a crucial role in regulating the immune microenvironment of breast cancer (BRCA) patients. Meanwhile, an independent diagnostic model based on the expression of these eight genes shows limited independent diagnostic value, and its independent prognostic value is unsatisfactory, with the time ROC AUC values generally below 0.5. According to the results of logistic regression neural networks and risk prognosis models, when these eight genes interact synergistically, they can serve as excellent biomarkers for the diagnosis and prognosis of breast cancer patients. Furthermore, the research findings have been confirmed through qPCR experiments and validation. Conclusion: In conclusion, we explored the mechanisms of ERS in BRCA patients and identified 8 outstanding biomolecular diagnostic markers and prognostic indicators. The research results were double-validated using the GEO database and qPCR.

Comparative effectiveness of different modes of exercise interventions in diabetics with frailty in China: a systematic review and a network meta-analysis.

OBJECTIVE: To systematically evaluate the efficacy of different training modes in patients with diabetes decline. METHODS: PubMed, Cochrane Library, EMbase, Web of Science, CNKI, VIP, WANFANG, SinoMed were searched in computer to collect randomized controlled trials (RCTs) of training intervention in patients with diabetes and frailty, and the search time was as of May 21, 2023. After two review authors independently screened studies, extracted data, and assessed the risk of bias of included studies, network meta-analysis was performed using Stata14.0 and R4.3.1 software. Fasting blood glucose (FGB), glycosylated haemoglobin (HbA1c), two-hour postprandial blood glucose (PBG), total cholesterol (TCH), triglycerides (TG), low-density lipoprotein cholesterol (LDL-C), Short Physical Performance Battery (SPPB), and body mass index (BMI) were used as outcome measures. RESULTS: A total of 15 RCTs were included, including 1550 patients. The results of the network meta-analysis showed that integrated training reduced FBG compared with the control group; integrated training, Pilates training, resistance training can reduce HbA1c; Pilates training and resistance training can reduce PBG; integrated training, Pilates training, resistance training can reduce TCH; Pilates training and resistance training can reduce TG; resistance training improves BMI. The results of the best probability ranking showed that multi-group training had the most significant effect on improving PBG and SPPB scores. CONCLUSION: The current evidence suggests that multi-group training is the best way to reduce fasting blood glucose and improve physical activity before meals, and Pilates training may be the best way to reduce glycated hemoglobin, blood glucose two hours after meals, improve blood lipid level and BMI in patients with diabetes in China. TRIAL REGISTRATION: PROSPERO registration number for this study: CRD42023427868.

A proof-of-principle study: The potential application of MiniHap biomarkers in ancestry inference based on the QNome nanopore sequencing.

Haplotyped SNPs convey forensic-related information, and microhaplotypes (MHs), as the most representative of this kind of marker, have proved the potential value for human forensics. In recent years, nanopore sequencing technology has developed rapidly, with its outstanding ability to sequence long continuous DNA fragments and obtain phase information, making the detection of longer haplotype marker possible. In this proof-of-principle study, we proposed a new type of forensic marker, MiniHap, based on five or more SNPs within a molecular distance less than 800 bp, and investigated the haplotype data of 56 selected MiniHaps in five Chinese populations using the QNome nanopore sequencing. The sequencing performance, allele (haplotype) frequencies, forensic parameters, effective number of alleles (Ae), and informativeness (In) were subsequently calculated. In addition, we performed principal component analysis (PCA), phylogenetic tree, and structure analysis to investigate the population genetic relationships and ancestry components among the five investigated populations and 26 worldwide populations. MiniHap-04 exhibited remarkable forensic efficacy, with 148 haplotypes reported and the Ae was 66.9268. In addition, the power of discrimination (PD) was 0.9934, the probability of exclusion (PE) was 0.9898, and the In value was 0.7893. Of the 56 loci, 85.71% had PD values above 0.85, 66.07% had PE values above 0.54, 67.86% had Ae values over 7.0%, and 55.36% were with In values above 0.2 across all samples, indicating that most of the MiniHaps are suitable for individual identification, paternity testing, mixture deconvolution, and ancestry inference. Moreover, the results of PCA, phylogenetic tree and structure analysis demonstrated that this MiniHap panel had the competency in continental population ancestry inference, but the differentiation within intracontinental/linguistically restricted subpopulations was not ideal. Such findings suggested that the QNome device for MiniHap detection was feasible and this novel marker has the potential in ancestry inference. Yet, the establishment of a more comprehensive database with sufficient reference population data remains necessary to screen more suitable MiniHaps.

Harmonization of distributed multi-center analysis based on dried blood spot reference materials supporting the screening of neonatal inherited metabolic disorders.

BACKGROUND: The standardization of quantification data is critical for ensuring the reliability and measurement traceability in the screening of neonatal inherited metabolic disorders. However, the availability of national certified reference materials is limited in China. METHODS: In this study, we developed a series of dried blood spot (DBS) reference materials containing 9 amino acids (AA) and 10 acylcarnitines (AC) for neonatal screening. Four levels of the reference materials were measured with tandem mass spectrometry (MS/MS) by seven laboratories using different commercial In Vitro Diagnostic Device (IVD) kits. Then, 100 clinical samples were measured using both derivatization and non-derivatization methods by the same laboratory. RESULTS: We found high homogeneity and stability at all levels of the reference materials, with the coefficient of variation (CV) of the analytes less than 15%. These reference materials can be used to assess the testing capabilities of different laboratories. Our test also revealed that the correction factors (CF) calculated by the reference materials, along with clinical samples, could increase the consistency for different kits. CONCLUSION: The DBS reference materials proposed in this study provide reliability for the harmonization in multi-center analysis for the screening of neonatal inherited metabolic disorders. And applying our correction method for the screening could improve the data consistency of the DBS samples prepared by different methods.

A novel fluorescent dye selectively images and kills cancer stem cells by targeting mitochondria: Evidence from a cell line­based zebrafish xenograft model.

Numerous agents such as near-infrared dyes that are characterized by specialized cancer imaging and cytotoxicity effects have key roles in cancer diagnosis and therapy via molecularly targeting special biological tissues, organelles and processes. In the present study, a novel fluorescent compound was demonstrated to inhibit cancer cell proliferation in a zebrafish model with slight in vivo toxicity. Further studies demonstrated selective staining of cancer cells and even putative cancer stem cells via accumulation of the dye in the mitochondria of cancer cells, compared with normal cells. Moreover, this compound was also used to image cancer cells in vivo using a zebrafish model. The compound displayed no apparent toxicity to the host animal. Overall, the data indicated that this compound was worthy of further evaluation due to its low toxicity and selective cancer cell imaging and killing effects. It could be a useful tool in cancer research.

CmVCall: An automated and adjustable nanopore analysis pipeline for heteroplasmy detection of the control region in human mitochondrial genome.

Genetic associations between human mitochondrial DNA (mtDNA) heteroplasmy and mitochondrial diseases, aging, and cancer have been elaborated, contributing a lot to the further understanding of mtDNA polymorphic spectrum in anthropology, population, and forensic genetics. In the past decade, heteroplasmy detection using Sanger sequencing and next generation sequencing (NGS) was hampered by the former's inefficiency and the latter's inherent bias due to amplification and mapping of short reads, respectively. Nanopore sequencing stands out for its ability to yield long contiguous segments of DNA, providing a new insight into heterogeneity authentication. In addition to MinION from Oxford Nanopore Technologies, an alternative nanopore sequencer QNome (Qitan Technology) has also been applied to various biological research and the forensic applicability of this platform has been proved recently. In this study, we evaluated the performance of four commonly used variant callers in the heterogeneity authentication of the control region of human mtDNA based on simulations of different ratios generated by mixing QNome nanopore sequencing reads of two synthetic sequences. Then, an open-source and python-based nanopore analytics pipeline, CmVCall was developed and incorporated multiple programs including reads filtering, removal of nuclear mitochondrial sequences (NUMTs), alignment, optional 'Correction' mode, and heterogeneity identification. CmVCall can achieve high precision, accuracy, and recall of 100%, 99.9%, and 92.3% with a 5% heteroplasmy level in 'Correction' mode. Moreover, blood, saliva, and hair shaft samples from monozygotic (MZ) twins were used for heterogeneity evaluation and comparison with the NGS data. Results of MZ twin samples showed that CmVCall could identify more point heteroplasmy sites, revealing significant levels of inter- and intra-individual mtDNA polymorphism. In conclusion, we believe that this analysis pipeline will lay a solid foundation for the development of a comprehensive nanopore analysis pipeline targeting the whole mitochondrial genome.

Review of Polymer-Based Composites for Electromagnetic Shielding Application.

The rapid advancement of electronic communication technology has greatly aided human productivity and quality of life, but it has also resulted in significant electromagnetic pollution issues. Traditional metals and alloys are often used for electromagnetic interference (EMI) shielding due to their excellent electrical conductivity. However, they have drawbacks such as being heavy, expensive, and having low corrosion resistance, which limits their application in electromagnetic shielding. Therefore, it is crucial to develop novel EMI shielding materials. Polymers, being highly flexible, corrosion-resistant, and possessing high specific strength, are frequently employed in electromagnetic shielding materials. In this review, we firstly introduce the basic theory of electromagnetic shielding. Then, we outline the processing methods and recent developments of polymer-based electromagnetic shielding composites, including uniform-, foam-, layered-, and segregated structures. Lastly, we present the challenges and prospects for the field, aiming to provide direction and inspiration for the study of polymer-based electromagnetic shielding composite materials.

Nuts consumption and hypertension risks in children: a mediating role of circulating lipid metabolites.

BACKGROUND: Although nuts play an important role in preventing cardiovascular disease, the metabolic cues by which nuts regulate blood pressure have not been fully understood.Aims:We conducted a nested case-control study in a prospective cohort study of Southwest China children to explore the potential lipid metabolites related to the relationship between nut dietary and blood pressure. METHODS: Forty-three hypertension cases and 53 controls serum samples were obtained for lipidomic data analysis using a liquid chromatography mass spectrometry platform. RESULTS: We identified four lipid metabolites that are associated with nut intake by a generalized linear model and logistic regression analysis, including phosphatidylglycerol 43:6 [PG (43:6)], phosphatidylcholine 18:0/20:3 [PC (18:0/20:3)], and two phosphatidylethanolamine (PE) compounds [PE (P-16:0/20:4) and PE (P-22:0/18:2)]. Logistic regression analysis indicated that the levels of PG (43:6) and PE (P-16:0/20:4) were negatively associated with hypertension in children, which might be useful biomarkers for predicting childhood hypertension. Further mediation analysis revealed that PG (43:6) and PC (18:0/20:3) function as mediating variables between nut intake and blood pressure levels. CONCLUSION: This study provides scientific evidence that nut consumption induces some beneficial changes in lipid metabolism, which may reduce the risk of hypertension in children.

Group identity modulates bidding behavior in repeated lottery contest: neural signatures from event-related potentials and electroencephalography oscillations.

A contest usually involves expenditures, termed "overbidding," exceeding the theoretical Nash equilibrium. A considerable number of studies have shown that group identity can affect decision-making and competitive behavior, thus providing a new perspective on alleviating the overbidding problem. How group identity influences brain activity when competitors bid in different groups is not yet clear, however. In this study, we implemented group identity manipulation into the lottery contest game and we recorded behavioral and electroencephalography (EEG) data at the same time. Two experimental treatments were conducted to study the effect of group identity on bidding behavior. The event-related potentials (ERP) and event-related oscillations (ERO) techniques were utilized to explore brain activity differences caused by participants' different bidding behaviors under in-group and out-group conditions. Behavioral results showed that individual expenditure was significantly lower when bidding with in-group opponents than with out-group opponents. Analyses of EEG results revealed that compared to in-group conditions, greater N2 amplitudes and theta power were found under out-group conditions. To extend previous studies, we performed supplementary analysis to explore whether enhancement of group identity had effects on conflict alleviation. Behavioral results indicated that individual expenditure was significantly lower after enhancing group identity when bidding with in-group, and EEG results showed more negative N2 amplitudes, smaller P3 amplitudes and larger theta power after enhancing group identity. Collectively, these findings indicate that group identity modulated bidding behavior, and they provide insight into a mechanism to de-escalate group conflict by enhancing group identity.

Plasmonic Nanomaterials in Dark Field Sensing Systems.

Plasma nanoparticles offer promise in data storage, biosensing, optical imaging, photoelectric integration, etc. This review highlights the local surface plasmon resonance (LSPR) excitation mechanism of plasmonic nanoprobes and its critical significance in the control of dark-field sensing, as well as three main sensing strategies based on plasmonic nanomaterial dielectric environment modification, electromagnetic coupling, and charge transfer. This review then describes the component materials of plasmonic nanoprobes based on gold, silver, and other noble metals, as well as their applications. According to this summary, researchers raised the LSPR performance of composite plasmonic nanomaterials by combining noble metals with other metals or oxides and using them in process analysis and quantitative detection.

Valproate-induced hyperammonemic encephalopathy treated by L-ornithine-L-aspartate: a case report.

A 63-year-old man developed reduced consciousness and dysphagia progressively. Examination and parameters were normal, except for a Glasgow Coma Scale score of seven, and his grading on the swallow water test increased from grade 1 to grade 5. Brain imaging and blood tests were unexplainable except by high plasma ammonia. His past medical history included cerebral infarction, hypertension and epilepsy induced by cerebral hyperperfusion syndrome. He was rceiving antiepileptic treatment of continuously intravenously pumped sodium valproate of 64 mg/h for 4 days, which overlapped for 12 hours with taking 500 mg sustained release tablets. Sodium valproate was stopped; testing demonstrated normal plasma concentrations of sodium valproate and elevated concentrations of ammonia. Ornithine aspartate was administrated. The patient's level of responsiveness and ammonia levels gradually improved. The patient was also being treated with ceftriaxone sodium for a hypostatic pneumonia and with desmopressin for diabetes insipidus. There is an association between sodium valproate and hyperammonaemia and encephalopathy. Immediate recognition of the serious but uncommon adverse effects is essential. To our knowledge this is the first report of ornithine aspartate being used in this disorder.

The complete mitochondrial genome of Camellia nitidissima (Theaceae).

The mitochondrial genome of Camellia nitidissima was sequenced by Illumina and Pacbio sequencing. The results of sequences showed that a total length was 949,915 bp, and the GC content was 45.7% in assembled mitochondrial genome of C. nitidissima. 71 unigenes had been found, including 36 coding proteins and 35 non-coding proteins. Subsequently, the phylogenetic tree was built on 24 plants with the maximum-likelihood method, which had high bootstrap value and fited to the angiosperm phylogeny group classification (APG IV). The study's findings unravel the taxonomic status of C. nitidissima and benefit the evolution study.

The complete chloroplast genome of Striga asiatica (L.) Kuntze 1891 (Orobanchaceae), a hemiparasitic weed from Guangxi China.

Striga asiatica (L.) Kuntze 1891 is a hemiparasitic plant native to Asia and Africa. It is invasive and causes yield losses in crops such as corn, rice and sorghum. Lack of chloroplast genomic data has limited research into its obligate parasitic lifestyle. In this study, the complete chloroplast genome of Striga asiatica was sequenced and characterized. It is a quadripartite structure with a total length of 191,085 bp and a GC content of 37.86%. It has a large single copy region (LSC) of 51,406 bp, a small single copy region (SSC) of 273 bp, and two copies of the reverse repeat sequence (IRA and IRB) of 69,703 bp. A total of 122 protein-coding genes, 8 rRNA genes, and 44 tRNA genes were annotated in the chloroplast genome. There were a lot of ndh gene deletions and pseudogenizations in this chloroplast genome. For example, ndhA, D, E, H, I, and K were all pseudogenes because they were missing the 5' end start codon. ndhB, C, and J had shorter gene lengths than their homologs, and ndhF and ndhG were missing genes. The phylogenetic tree reveals that all Striga species form a clade, and a bootstrap value of 100 indicates that S. asiatica is closely related to Striga hermonthica and Striga sepera. The comprehensive chloroplast genomic resource of S. asiatica would assist researchers in comprehending hemiparasitic mechanisms, molecular markers, and evolutionary patterns of the genus Striga.

A pan-cancer analysis of RNASEH1, a potential regulator of the tumor microenvironment.

BACKGROUND: RNASEH1 (Ribonuclease H1) encodes an endonuclease that specifically degrades the RNA of RNA-DNA hybrids and acts in DNA replication and repair. Although there are many studies on RNASEH1, the research of RNASEH1 in cancers is still insufficient. Therefore, in order to clarify the physiological mechanism of RNASEH1 in tumor cells, we evaluated the role of RNASEH1 by combining The Cancer Genome Atlas (TCGA) pan-cancer data and Genotype-Tissue Expression (GTEx) normal tissue data. METHODS: RNASEH1 expression was analyzed by using RNAseq data from TCGA and the GTEx database. The Human Protein Atlas (HPA), GeneCards and STRING database were used to explore the protein information of RNASEH1. The prognostic value of RNASEH1 was analyzed by using the clinical survival data from TCGA. Differential analysis of RNASEH1 in different cancers was performed by using R package "DESeq2", and enrichment analysis of RNASEH1 was conducted by using R package "clusterProfiler". We downloaded the immune cell infiltration score of TCGA samples from published articles and online databases, and the correlation analysis between immune cell infiltration levels and RNASEH1 expression was performed. Not only that, we further evaluated the association of RNASEH1 with immune activating genes, immunosuppressive genes, chemokines and chemokine receptors. At the end of the article, the differential expression of RNASEH1 in pan-cancer was validated by using GSE54129, GSE40595, GSE90627, GSE106937, GSE145976 and GSE18672, and qRT-PCR was also performed for verification. FINDINGS: RNASEH1 was significantly overexpressed in 19 cancers and the overexpression was closely correlated with poor prognosis. Moreover, the expression of RNASEH1 was significantly correlated with the regulation of the tumor microenvironment. In addition, RNASEH1 expression was closely associated with immune cell infiltration, immune checkpoints, immune activators, immunosuppressive factors, chemokines and chemokine receptors. Finally, RNASEH1 also was closely associated with DNA-related physiological activities and mitochondrial-related physiological activities. INTERPRETATION: Our studying suggests that RNASEH1 is a potential cancer biomarker. And RNASEH1 may be able to regulate the tumor microenvironment by regulating the relevant physiological activities of mitochondrial and thereby regulating the occurrence and development of tumors. Thus, it could be used to develop new-targeted drugs of tumor therapy.

Evaluation of the correlation between sleep quality and work engagement among nurses in Shanghai during the post-epidemic era.

AIM: To examine the status quo and influencing factors of sleep quality and work engagement of nurses participating in COVID-19 during the post-epidemic era and to study the relationship between them. DESIGN: We conducted a cross-sectional survey and correlational and predictive logic to determine the association between sleep quality and work engagement among nurses in Shanghai during the post-epidemic era. METHODS: This design involved 1060 frontline nurses in Shanghai. The Pittsburgh Sleep Quality Index questionnaire and the Utrecht Work Engagement Scale-9 scales were used for data collection. RESULTS: This study found that the sleep quality of frontline nurses was impaired and the nurses with poor sleep accounted for 48.20% during the post-epidemic era. The work engagement of frontline nurses was at the medium level. Factors affecting nurses' sleep quality were the number of nurse night shifts, family support and nurse health. The factors affecting the nurse work engagement were monthly income, profession title, family support and self-health status. There was a positive correlation between nurses' sleep quality and work engagement.

Development of a UPLC-MS/MS method for the determination of active ingredients of Shuang Hu in rat blood and its application in pharmacokinetics.

A simple and sensitive method using in vivo microdialysis coupled with UPLC-MS/MS was established to evaluate the pharmacokinetics of Shuang Hu tincture (SHZTN). Xevo TQ-S was used to analyze the active ingredients of mesaconitine, hypaconitine, 4-hydroxycinnamic acid, ferulic acid and N-(2, 3-dimethyl phenyl)-2- aminobenzoic acid of SHZTN. Samples were prepared using a methanol precipitation method and the internal standards lannaconitine and p-hydroxybenzoic acid were added. The method validation was conducted according to the guidelines of the Pharmacopoeia of China. A good linear range was obtained in the range of 1-2,000 ng/ml. The intra-day and inter-day precisions were less than 14.7%, and the accuracy range of all the analytes was -10.5-9.3%. The recovery of each analyte was over 95.5%, and matrix effects can be neglected. After a single dose of 20 mg/kg SHZTN, the area under the curve and peak concentration of the five active ingredients were significantly increased by transdermal compared with oral administration, which indicated the high bioavailability of SHZTN. The time to peak concentration of all compounds was <3.4 h, and the half-life was <15.4 h, which indicated that the five compounds have the best absorption and rapid elimination. The method was successfully developed and applied to the pharmacokinetic study of SHZTN.

Efficacy and safety of oral anticoagulants in elderly patients with stable coronary artery disease and atrial fibrillation.

BACKGROUND: This study aimed to evaluate the efficacy and safety of oral anticoagulants (OACs) in real-world elderly patients with comorbidities of stable coronary artery disease (SCAD) and atrial fibrillation (AF). METHODS: Elderly patients (aged ≥ 65 years old) diagnosed with SCAD and AF were consecutively recruited and grouped into patients with or without oral anticoagulant (OAC) treatment. Follow-up was performed for 5 years. Major adverse cardiac events (MACEs) were defined as a composite of all-cause death, nonfatal myocardial infarction (MI), nonfatal stroke, and systemic embolism. Major bleeding outcomes were defined as events that were type ≥ 3 based on the Bleeding Academic Research Consortium (BARC) criteria. The net clinical outcomes were defined as the combination of MACEs and bleeding of BARC type ≥ 3. RESULTS: A cohort of 832 eligible patients (78 ± 6.70 years) was included. Compared to the patients without OAC treatment (n = 531, 63.82%), the patients treated with OAC (n = 301, 36.18%) were much younger, had higher body mass index (BMI), and had lower prevalence of heart failure, chronic obstructive pulmonary disease (COPD), renal insufficiency, and previous myocardial infarction. During the follow-up of 5 years, compared to the patients without OAC treatment, patients with OAC had a significantly lower risk of MACEs (20.60% vs. 58.95%, adjusted HR: 0.21, 95% CI: 0.15-0.30, p < 0.001) but a higher risk of BARC ≥ 3 bleeding events (4.65% vs. 1.32%, adjusted HR: 4.71, 95% CI: 1.75-12.64, p = 0.002). In combination, a lower risk of net clinical outcomes could be observed in the patients with OACs (23.26% vs. 58.96%, adjusted HR: 0.27, 95% CI: 0.19-0.38, p < 0.001). Among the patients with OAC treatment, no significant difference was found for MACEs or BARC ≥ 3 bleeding events between the patients with or without comedications of oral antiplatelet agents. CONCLUSIONS: A net clinical benefit of efficacy and safety could be observed in OAC-treated elderly patients with SCAD and AF. This benefit is independent of the comedications of oral antiplatelet treatment.

Transcriptomic and metabolomic analyses reveal how girdling promotes leaf color expression in Acer rubrum L.

BACKGROUND: Acer rubrum L. (red maple) is a popular tree with attractive colored leaves, strong physiological adaptability, and a high ornamental value. Changes in leaf color can be an adaptive response to changes in environmental factors, and also a stress response to external disturbances. In this study, we evaluated the effect of girdling on the color expression of A. rubrum leaves. We studied the phenotypic characteristics, physiological and biochemical characteristics, and the transcriptomic and metabolomic profiles of leaves on girdled and non-girdled branches of A. rubrum. RESULTS: Phenotypic studies showed that girdling resulted in earlier formation of red leaves, and a more intense red color in the leaves. Compared with the control branches, the girdled branches produced leaves with significantly different color parameters a*. Physiological and biochemical studies showed that girdling of branches resulted in uneven accumulation of chlorophyll, carotenoids, anthocyanins, and other pigments in leaves above the band. In the transcriptomic and metabolomic analyses, 28,432 unigenes including 1095 up-regulated genes and 708 down-regulated genes were identified, and the differentially expressed genes were mapped to various KEGG (kyoto encyclopedia of genes and genomes) pathways. Six genes encoding key transcription factors related to anthocyanin metabolism were among differentially expressed genes between leaves on girdled and non-girdled branches. CONCLUSIONS: Girdling significantly affected the growth and photosynthesis of red maple, and affected the metabolic pathways, biosynthesis of secondary metabolites, and carbon metabolisms in the leaves. This resulted in pigment accumulation in the leaves above the girdling site, leading to marked red color expression in those leaves. A transcriptome analysis revealed six genes encoding anthocyanin-related transcription factors that were up-regulated in the leaves above the girdling site. These transcription factors are known to be involved in the regulation of phenylpropanoid biosynthesis, anthocyanin biosynthesis, and flavonoid biosynthesis. These results suggest that leaf reddening is a complex environmental adaptation strategy to maintain normal metabolism in response to environmental changes. Overall, the results of these comprehensive phenotype, physiological, biochemical, transcriptomic, and metabolomic analyses provide a deeper and more reliable understanding of the coevolution of red maple leaves in response to environmental changes.

Rheological Properties of Organic Kerosene Gel Fuel.

Gel fuel potentially combines the advantages of solid fuel and liquid fuel due to its special rheological properties, which have essential impacts on the application of gel fuel in propulsion systems. In this paper, we study the rheological property of organic kerosene gel through a series of measurements on its viscosity as a function of the shear rate, temperature, and shear history. The measured datasets are then fitted with constitutive relationships between the viscosity and shear rate at three different levels: the power law shear-thinning model, the power law dependency on both the temperature and shear rate, and the thixotropic property. It is found that intense pre-shear could exhaust thixotropy and reduce viscosity of the kerosene gel. For the power law shear-thinning model, the consistency index increases with the gellant mass fraction, whereas the power law exponent remains constant. The dependence of viscosity on temperature could be well approximated by an empirical power law relationship. As for the thixotropic property of the kerosene gel, the fitted second-order kinetic model corresponds accurately to the viscosity at different shear rates and shear times. The constitutive models fitted in this work at different levels are consistent with each other and provide useful tools for further applications of organic kerosene gel fuel.

The complete chloroplast genome sequence of Picrasma quassioides (D. Don) Benn. 1844 (Simaroubaceae).

Picrasma quassioides is a member of the Simaroubaceae family and is widely used as a medicinal plant. In this study, we sequenced and assembled the complete chloroplast genome of P. quassioides. The chloroplast genome is 160,015 bp in length, with a large single-copy region of 87,136 bp, a small single-copy region of 18,069 bp, and a pair of inverted repeat regions of 27,405 bp. It contains a total of 110 unique genes, including 77 protein-coding genes, 29 tRNA genes, and 4 rRNA genes. Phylogenetic analysis showed that P. quassioides clustered well with Simaroubaceae plants, Eurycoma longifolia, Leitneria floridana, and Ailanthus latissimus.