Effects of renal impairment on cardiac remodeling and clinical outcomes after myocardial infarction.

How renal function influences post-acute myocardial infarction (AMI) cardiac remodeling and outcomes remains unclear. This study evaluated the impact of levels of renal impairment on drug therapy, echocardiographic parameters, and outcomes in patients with AMI undergoing percutaneous coronary intervention (PCI). A total of 611 patients diagnosed with AMI underwent successful PCI, and two echocardiographic examinations were performed within 1 year after AMI. Patients were categorized according to Group 1: severely impaired estimated glomerular filtration rate (eGFR)<30, Group 2: mildly impaired 30≤eGFR<60, Group 3: potentially at risk 60≤eGFR<90 and normal eGFR≥90 ml/min/1.73 m2. During the 5-year follow-up period, the primary endpoints were cardiovascular mortality and outcomes. Patients with worse renal function (eGFR<30) were older and had a higher prevalence of hypertension and diabetes, but relatively few were smokers or had hyperlipidemia. Despite more patients with lesions of the left anterior descending artery, those with worse renal function received suboptimal guideline-directed medical therapy (GDMT). Notably, patients with worse renal function presented with worse left ventricular function at baseline and subsequent follow-up. Kaplan-Meier analysis revealed increased cardiovascular death, development of heart failure, recurrent AMI and revascularization in patients with worse renal function. Notably, as focusing on patients with ST elevation MI, the similar findings were observed. In multivariable Cox regression, impaired renal function showed the most significant hazard ratio in cardiovascular death. Collectively, in AMI patients receiving PCI, outcome differences are renal function dependent. We found that patients with worse renal function received less GDMT and presented with worse cardiovascular outcomes. These patients require more attention.

Methods for rice phenomics studies.

With the completion of the rice genome sequencing project, the next major challenge is the large-scale determination of gene function. A systematic phenotypic profiling of mutant collections will provide major insights into gene functions important for crop growth or production. Thus, detailed phenomics analysis is the key to functional genomics. Currently, the two major types of rice mutant collections are insertional mutants and chemical or irradiation-induced mutants. Here we describe how to manipulate a rice mutant population, including conducting phenomics studies and the subsequent propagation and seed storage. We list the phenotypes screened and also describe how to collect data systematically for a database of the qualitative and quantitative phenotypic traits. Thus, data on mutant lines, phenotypes, and segregation rate for all kinds of mutant populations, as well as integration sites for insertional mutant populations, would be searchable, and the collection would be a good resource for rice functional genomics study.

A rice phenomics study--phenotype scoring and seed propagation of a T-DNA insertion-induced rice mutant population.

With the completion of the rice genome sequencing project, the next major challenge is the large-scale determination of gene function. As an important crop and a model organism, rice provides major insights into gene functions important for crop growth or production. Phenomics with detailed information about tagged populations provides a good tool for functional genomics analysis. By a T-DNA insertional mutagenesis approach, we have generated a rice mutant population containing 55,000 promoter trap and gene activation or knockout lines. Approximately 20,000 of these lines have known integration sites. The T0 and T1 plants were grown in net "houses" for two cropping seasons each year since 2003, with the mutant phenotypes recorded. Detailed data describing growth and development of these plants, in 11 categories and 65 subcategories, over the entire four-month growing season are available in a searchable database, along with the genetic segregation information and flanking sequence data. With the detailed data from more than 20,000 T1 lines and 12 plants per line, we estimated the mutation rates of the T1 population, as well the frequency of the dominant T0 mutants. The correlations among different mutation phenotypes are also calculated. Together, the information about mutant lines, their integration sites, and the phenotypes make this collection, the Taiwan Rice Insertion Mutants (TRIM), a good resource for rice phenomics study. Ten T2 seeds per line can be distributed to researchers upon request.

A rice gene activation/knockout mutant resource for high throughput functional genomics.

Using transfer DNA (T-DNA) with functions of gene trap and gene knockout and activation tagging, a mutant population containing 55,000 lines was generated. Approximately 81% of this population carries 1-2 T-DNA copies per line, and the retrotransposon Tos17 was mostly inactive in this population during tissue culture. A total of 11,992 flanking sequence tags (FSTs) have been obtained and assigned to the rice genome. T-DNA was preferentially ( approximately 80%) integrated into genic regions. A total of 19,000 FSTs pooled from this and another T-DNA tagged population were analyzed and compared with 18,000 FSTs from a Tos17 tagged population. There was difference in preference for integrations into genic, coding, and flanking regions, as well as repetitive sequences and centromeric regions, between T-DNA and Tos17; however, T-DNA integration was more evenly distributed in the rice genome than Tos17. Our T-DNA contains an enhancer octamer next to the left border, expression of genes within genetics distances of 12.5 kb was enhanced. For example, the normal height of a severe dwarf mutant, with its gibberellin 2-oxidase (GA2ox) gene being activated by T-DNA, was restored upon GA treatment, indicating GA2ox was one of the key enzymes regulating the endogenous level of GA. Our T-DNA also contains a promoterless GUS gene next to the right border. GUS activity screening facilitated identification of genes responsive to various stresses and those regulated temporally and spatially in large scale with high frequency. Our mutant population offers a highly valuable resource for high throughput rice functional analyses using both forward and reverse genetic approaches.