Non-ST-segment elevation acute coronary syndrome (NSTE-ACS) is the leading cause of morbidity and mortality from cardiovascular disease worldwide. Several recent studies have shown the relationship between the triglyceride-glucose (TyG) index and vascular disease; however, the role of the TyG index in NSTE-ACS has not been extensively assessed. Thus, we aimed to investigate the association of the TyG index with cardiovascular risk factors and outcomes in NSTE-ACS. Overall, 438 patients with NSTE-ACS were enrolled to examine the association of the TyG index with the SYNTAX score and major adverse cardiovascular events (MACEs). The TyG index was calculated as ln fasting triglyceride mg/dL×fasting glucose mg/dL/2. The severity of coronary lesions was quantified by the SYNTAX score. MACEs included cardiac death, nonfatal myocardial infarction, target vessel revascularization, congestive heart failure, and nonfatal stroke. All the patients underwent a 12-month follow-up for MACEs after admission. Multivariate regression analysis identified metabolic risk factors as independent parameters correlated with the TyG index. The prevalence of glucose metabolism disorder, metabolic syndrome, and MACEs increased with increasing TyG index. The TyG index showed a strong diagnostic performance for cardiovascular risk factors and was independently associated with the SYNTAX score (OR 6.055, 95% CI 2.915–12.579, P<0.001). The risk of MACEs (12.8% and 22.8% for the low TyG index and high TyG index groups, respectively; adjusted HR=1.791, 95% CI 1.045–3.068, P=0.034) significantly increased in the high TyG index group as compared with the low TyG index group. The multivariate Cox regression analysis further revealed that the TyG index was an independent predictor of MACEs (HR 1.878, 95% CI 1.130–3.121, P=0.015). In conclusion, the TyG index might be an independent predictor of coronary artery disease severity and cardiovascular outcomes in NSTE-ACS.

Flower induction in apple (Malus domestica Borkh.) is regulated by complex gene networks that involve multiple signal pathways to ensure flower bud formation in the next year, but the molecular determinants of apple flower induction are still unknown. In this research, transcriptomic profiles from differentiating buds allowed us to identify genes potentially involved in signaling pathways that mediate the regulatory mechanisms of flower induction. A hypothetical model for this regulatory mechanism was obtained by analysis of the available transcriptomic data, suggesting that sugar-, hormone- and flowering-related genes, as well as those involved in cell-cycle induction, participated in the apple flower induction process. Sugar levels and metabolism-related gene expression profiles revealed that sucrose is the initiation signal in flower induction. Complex hormone regulatory networks involved in cytokinin (CK), abscisic acid (ABA) and gibberellic acid pathways also induce apple flower formation. CK plays a key role in the regulation of cell formation and differentiation, and in affecting flowering-related gene expression levels during these processes. Meanwhile, ABA levels and ABA-related gene expression levels gradually increased, as did those of sugar metabolism-related genes, in developing buds, indicating that ABA signals regulate apple flower induction by participating in the sugar-mediated flowering pathway. Furthermore, changes in sugar and starch deposition levels in buds can be affected by ABA content and the expression of the genes involved in the ABA signaling pathway. Thus, multiple pathways, which are mainly mediated by crosstalk between sugar and hormone signals, regulate the molecular network involved in bud growth and flower induction in apple trees.

Functional mesoporous silica particles have attracted growing research interest for controlled drug delivery in targeted cancer therapy. For the purpose of efficient targeting tumor cells and reducing the adverse effect of antitumor drug doxorubicin (DOX), biocompatible and enzyme-responsive mesoporous silica nanoparticles (MSNs) with tumor specificity were desired. To construct these functional MSNs, the classic rotaxane structure formed between alkoxysilane tether and α-cyclodextrin (α-CD) was employed to anchor onto the orifices of MSNs as gatekeeper in this work. After subsequent modification by multifunctional peptide (azido-GFLGR7RGDS with tumor-targeting, membrane-penetrating, and cathepsin B-responsive functions) to stabilize the gatekeeper, the resulting functional MSNs showed a strong ability to load and seal DOX in their nanopores. When incubating these DOX-loaded MSNs with tumor and normal cells, the nanoparticles could efficiently employ their surface-encoded RGDS and continuous seven arginine (R7) sequences to target tumor cells, penetrate the cell membrane, and enter tumor cells. Because cathepsin B overexpressed in late endosomes and lysosomes of tumor cells could specifically hydrolyze GFLG sequences of the nanovalves, the DOX-loaded MSNs showed an "off-on" drug release behavior that ∼80% loaded DOX could be released within 24 h and thus showed a high rate of apoptosis. Furthermore, in vitro cellular experiments indicated that DOX-loaded MSNs (DOX@MSN-GFLGR7RGDS/α-CD) had high growth inhibition toward αvβ3-positive HeLa cancerous cells. The research might offer a practical way for designing the tumor-targeted and enzyme-induced drug delivery system for cancer therapy.

BackgroundThe plant-specific gibberellic acid stimulated Arabidopsis (GASA) gene family is critical for plant development. However, little is known about these genes, particularly in fruit tree species.ResultsWe identified 15 putative Arabidopsis thaliana GASA (AtGASA) and 26 apple GASA (MdGASA) genes. The identified genes were then characterized (e.g., chromosomal location, structure, and evolutionary relationships). All of the identified A. thaliana and apple GASA proteins included a conserved GASA domain and exhibited similar characteristics. Specifically, the MdGASA expression levels in various tissues and organs were analyzed based on an online gene expression profile and by qRT-PCR. These genes were more highly expressed in the leaves, buds, and fruits compared with the seeds, roots, and seedlings. MdGASA genes were also responsive to gibberellic acid (GA3) and abscisic acid treatments. Additionally, transcriptome sequencing results revealed seven potential flowering-related MdGASA genes. We analyzed the expression levels of these genes in response to flowering-related treatments (GA3, 6-benzylaminopurine, and sugar) and in apple varieties that differed in terms of flowering (‘Nagafu No. 2’ and ‘Yanfu No. 6’) during the flower induction period. These candidate MdGASA genes exhibited diverse expression patterns. The expression levels of six MdGASA genes were inhibited by GA3, while the expression of one gene was up-regulated. Additionally, there were expression-level differences induced by the 6-benzylaminopurine and sugar treatments during the flower induction stage, as well as in the different flowering varieties.ConclusionThis study represents the first comprehensive investigation of the A. thaliana and apple GASA gene families. Our data may provide useful clues for future studies and may support the hypotheses regarding the role of GASA proteins during the flower induction stage in fruit tree species.Electronic supplementary materialThe online version of this article (10.1186/s12864-017-4213-5) contains supplementary material, which is available to authorized users.