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IntroductionComplex coronary artery disease (left main and three-vessel disease) carries high risks of adverse events and cost burden. However, in China, little is known about which patients are directed toward which treatment strategies and what outcomes are being achieved.Methods and analysisUsing the China PEACE (Patient-centered Evaluative Assessment of Cardiac Events) research network, this prospective study of three-Vessel Disease, the China PEACE-3VD study, has a plan to consecutively register over 4000 patients with a diagnosis of 3VD and/or left-main disease by elective coronary angiography at 24 large cardiovascular centres in China. We centrally conducted medical record abstraction and SYNTAX Score calculation for all registered patients. The sites invited patients to the prospective cohort, and conducted 1-year follow-up on major events, including cardiac events, symptoms, secondary prevention and quality of life. The estimated entire sample size of eligible patients of 4000 was determined based on both feasibility and consideration of adequate statistical precision for describing the treatment decisions, guidelines adherence and appropriateness of treatment for patients with complex coronary artery diseases. The study is designed to investigate patient, clinician and hospital factors associated with each treatment strategy (percutaneous coronary intervention, coronary artery bypass grafting or medical therapy) as well as appropriateness of treatment choice, current guideline compliance and patient-reported outcomes for patients with complex coronary artery disease in large cardiovascular centres in China, as a foundation for enhanced knowledge in the field and to assist quality improvement initiatives.Ethics and disseminationThe study protocol was approved by the ethics committee at the China National Center for Cardiovascular Diseases. Findings will be shared with participating hospitals, policymakers and the academic community, to promote quality monitoring, quality improvement and the efficient allocation, and use of coronary revascularisation procedures in China.Trial registration numberNCT01625312; Pre-results.

The value of a novel soybean male-sterile mutation msLC01 in breeding practice was determined by its outcrossing properties. Then, the effects of different planting arrangements on the pod set characteristics of male-sterile plants were assessed by using orthogonal experiments at two sites. At the same time, the effects of msLC01 male sterility on other traits were assessed in two C2F2 populations. In addition, the nectar secretion and natural outcross of male-sterile plants from four msLC01 lines were compared with one ms1 line and one ms6 line. The results of the orthogonal experiment showed that the pod numbers and pod set rates of male-sterile plants were decisively different between the two experimental sites but not between the two levels of the other factors. Both increasing the ratio of paternal parent to maternal parent and planting the parental seeds in a mixed way, the proportion of seeds pollinated by the target parent pollen could be increased. Except for the pod number per plant trait, there was no significant difference between male-sterile plants and their fertile siblings. The amount of nectar significantly differed among the lines. Compared with ms1 and ms6 male-sterile plants, the four msLC01 lines possessed significantly more or similar numbers of pod sets. The results of this study lay a foundation for the future use of this mutant in soybean breeding. [ABSTRACT FROM AUTHOR]

Plant architecture is a target of crop improvement. The soybean mutant ideal type 1 (it1) displays a pleiotropic phenotype characterized by compact plant architecture, reduced plant height, shortened petioles, wrinkled leaves, and indented seeds. Genetic analysis revealed that the pleiotropic phenotype was controlled by an incomplete dominant gene. We characterized the cellular phenotypes of it1 and positionally cloned the it1 locus. Detailed morphogenetic analysis of the it1 mutant revealed an excess of xylem cells and expanded phloem, and polygonal pavement cells. Positional cloning showed that the phenotype was caused by a G-to-A mutation in the second exon of the α-tubulin gene (Glyma.05G157300). The mutation altered microtubule arrangement in pavement cells, changing their morphology. Overexpression of Gmit1 resulted in an it1-like phenotype and polygonal pavement cells and microtubules of overexpressors were parallel or slightly inclined. Five suppressor mutants able to suppress the phenotype of it1 were obtained by EMS mutagenesis in the it1 background. All these mutants carried an additional mutation in the it1 gene. These results suggest that the pleiotropic phenotype of it1 is caused by the mutation in the αtubulin gene. [ABSTRACT FROM AUTHOR]

Drought has historically represented the greatest abiotic stress to adversely affect the stability of soybean (Glycine max (L.) Merr.) yields in non-irrigated field conditions. To investigate the genetic basis underlying drought tolerance in soybean, we screened the seed yield per plant (YP) in a natural diversity panel of 149 accessions under both water deficit (drought-stressed; YP-S) and well-watered (full irrigation; YP-W) conditions in field and greenhouse trials and calculated a drought susceptibility index (DSI) based on the differences in yield between treatments within each accession. A total of 19 quantitative trait loci (QTLs) were identified: eight were significantly associated with YP-W, 10 were associated with YP-S, 2 were associated with DSI and one QTL was associated with both YP-S and DSI. We then compared QTLs identified here with previously reported markers and found that these loci were located in regions associated with yield-related and other agronomic traits. In particular, YP-S-associated single nucleotide polymorphism (SNP) ss246509299 in chromosome (Chr.) 8, and YP-W-associated ss249310678 on Chr. 17 were both previously correlated with canopy wilt. Eight significant QTLs were located within eight genes. Glyma.18g092200, contained ss249600231 and annotated as GmWRKY168, is reportedly responsive to cadmium. This study helps to resolve which loci contribute to yield under drought stress in soybean, and can potentially serve as markers for selection of elite, high-yield and drought tolerant varieties. [ABSTRACT FROM AUTHOR]

Skin cancer is the commonly found type, which contributes to 40% of whole cancer incidences worldwide. Dieckol is an active compound occurs in the marine algae with many biological benefits. In this exploration, we intended to investigate the therapeutic potency of dieckol against the 7,12‐dimethylbenz(a)anthracene (DMBA)‐triggered skin carcinogenesis in mice. The skin cancer was stimulated to the animals via injecting the 25 μg of DMBA in 100 μL of acetone in shaved dorsal portion along with the 30 mg/kg of dieckol supplementation for 25 week. The antioxidant enzymes and phase‐I and –II detoxifying enzymes in the test animals were inspected via standard protocols. Pro‐inflammatory markers (IL‐6, IL‐1β, and TNF‐α) level was examined via ELISA kits and the expression of inflammatory molecular markers like p‐NF‐ƙB, IƙBα and p‐IƙBα were studied through western blotting. The expression status of pro‐ and anti‐apoptotic proteins (p53, Bax, Bcl‐2, caspase‐3, caspase‐9, COX‐2, TGF‐β1) was investigated via real‐time polymerase chain reaction (RT‐PCR). Our results revealed that the 30 mg/kg of dieckol supplementation noticeably regained the body and liver weight and also diminished the tumor incidence in the DMBA‐incited animals. Dieckol treatment exhibited an enhanced antioxidants (SOD, CAT, GPx, and GSH) and reduced phase‐I enzymes Cyt‐p450 and Cyt‐b5 in the DMBA‐induced animals. Dieckol also diminished the pro‐inflammatory modulators like IL‐6, IL‐1β and TNF‐α. Western blotting result evidenced that the dieckol was inhibited the IƙB/NF‐ƙB signaling pathway. RT‐PCR study proved the enhanced expression of pro‐apoptotic protein (p53, Bax, caspase‐3 and ‐9) in the dieckol treated animals. Histological study also confirmed the therapeutic benefits of Dieckol. Altogether with these findings, it was clear that the dieckol has appreciably allayed the DMBA activated skin tumorigenesis in the mice and it could be a promising agent to treat the human skin cancer in future. [ABSTRACT FROM AUTHOR]

The 21st century is a time of information, data, and knowledge. Information technology is changing every aspect of human society. From the perspective of machine learning, clustering, an important branch of data mining is an unsupervised learning method that attempts to find its distribution or pattern in unlabeled data sets. Generally, we think that the data points in the same cluster have more similarities than the data points of different clusters. Cluster analysis is a very important function in data mining. The so-called clustering analysis is to divide an abstract set or a physical set into several different categories according to some similar characteristics of the divided objects. This process is called the cluster analysis process. The core of cluster analysis is the clustering algorithm, which is a very important human behavior. This survey will integrate the latest research to propose the solutions of collecting the latest research. The overview will be the pipeline of the further research. [ABSTRACT FROM AUTHOR]

Acute kidney injury is a common complication after on-pump coronary artery bypass grafting. Prediction of acute kidney injury remains a challenge. Our study aims to identify a panel of urine metabolites for preoperative warning of acute kidney injury after on-pump coronary artery bypass grafting. A total of 159 patients undergoing isolated on-pump coronary artery bypass grafting were enrolled from July 7, 2017, to May 17, 2019. Preoperative urine samples were analyzed with the approach of liquid chromatography-mass spectrometry–based urine metabolomics. The study end point was the episode of acute kidney injury within 48 hours postoperatively. The predictive performance was determined by the area under the curve and calibration curve. The results were validated using bootstrap resampling. The acute kidney injury (n = 55) and nonacute kidney injury (n = 104) groups showed significant different metabolic profiling. A total of 28 metabolites showed significant differences between the acute kidney injury and nonacute kidney injury groups. A metabolite panel of 5 metabolites (tyrosyl-gamma-glutamate, deoxycholic acid glycine conjugate, 5-acetylamino-6-amino-3-methyluracil, arginyl-arginine, and L-methionine) was discovered to have a good predicting performance (area under the curve, 0.89; 95% confidence interval, 0.82-0.93), which is higher than the clinical factor–based model (area under the curve, 0.63; 95% confidence interval, 0.53-0.72). Internal validation by bootstrap resampling showed an adjusted area under the curve of 0.88, and the calibration curve demonstrated good agreement between prediction and observation in the probability of postoperative acute kidney injury. Decision curve analysis revealed a superior net benefit of the metabolite model over the traditional clinical factor–based model. We present 5 urine metabolites related to acute kidney injury after coronary artery bypass grafting. This metabolite model may serve as a preoperative warning of acute kidney injury after on-pump coronary artery bypass grafting. [ABSTRACT FROM AUTHOR]