OsOFP6 Overexpression Alters Plant Architecture, Grain Shape, and Seed Fertility.

OVATE family proteins (OFPs) play important roles in plant growth and development, hormone signaling, and stress response pathways. However, the functions of OsOFPs in rice are largely unknown. In this study, a novel gain-of-function rice mutant, Osofp6-D, was identified. This mutant exhibited decreased plant height, erect leaves, reduced panicle size, short and wide seeds, delayed seed germination time, and reduced fertility. These phenotypic changes were attributed to the increased expression of OsOFP6, which was caused by a T-DNA insertion. Complementation of the Osofp6-D phenotype by knockout of OsOFP6 using the CRISPR/Cas9 system confirmed that the Osofp6-D phenotype was caused by OsOFP6 overexpression. In addition, transgenic plants overexpressing OsOFP6 with the 35S promoter mimicked the Osofp6-D phenotype. Cytological observations of the glumes showed that OsOFP6 overexpression altered the grain shape, mainly by altering the cell shape. Hormone response experiments showed that OsOFP6 was involved in the gibberellin (GA) and brassinolide (BR) signaling responses. Further studies revealed that OsOFP6 interacts with E3BB, which is orthologous to the Arabidopsis central organ size-control protein BIG BROTHER (BB). This study further elucidates the regulation mechanism of the rice OFP family on plant architecture and grain shape.

Association between prediabetes and risk of cancer / 预防医学

Objective @#To examine the association between prediabetes and the risk of cancer, so as to provide insights into precision cancer prevention. @*Methods@#Based on the project of Early Screening and Comprehensive Interventions among Population at A High Risk of Cardiovascular Diseases in Changning District, Shanghai Municipality, baseline data were captured from permanent community residents at ages of 35 to 75 years from 2016 to 2019, including demographics, physical examinations, previous medical history and used of medications. The development of cancers was used as a outcome measure, and the follow-up was terminated by May 2021. The development of cancer was collected through the Changning Cancer Registration System, and the association between prediabetes and the risk of cancer was examined using a multivariable logistic regression model. @*Results@#A total of 9 503 participants were finally included, with a mean age of (57.12±10.89) years. The participants included 2 167 cases with prediabetes (22.80%) and 7 336 individuals with normal glucose (77.20%), and included 3 713 men (39.07%) and 5 790 women (60.93%). A total of 114 new cases with cancers were diagnosed until the final follow-up, including 37 cases among prediabetic patients (1.71%) and 77 cases among participants with normal blood glucose (1.05%). Multivariable logistic regression analysis showed that after adjustment for age, gender, marital status, educational level, family annual income, smoking, alcohol consumption, body mass index, hypertension, administration of antihypertensive agents, dyslipidemia, administration of lipid-lowering agents and medical history of cardio-cerebrovascular diseases, a higher risk of cancers was detected among prediabetic patients than among participants with normal blood glucose (OR=1.528, 95%CI: 1.025-2.277), and prediabetes had no significant interactions with age, gender, smoking or alcohol consumption (all P>0.05).@*Conclusion@#Prediabetes is statistically associated with the risk of cancer.

The interplay of long noncoding RNA HULC with microRNA-128-3p and their correlations with lipid level, stenosis degree, inflammatory cytokines, and cell adhesion molecules in coronary heart disease patients.

BACKGROUND: Long noncoding RNA HULC (lnc-HULC) and its target microRNA-128-3p (miR-128-3p) regulate endothelial cell function, blood lipid level, and inflammatory cytokine production, which are involved in the pathogenesis of coronary heart disease (CHD). Based on the above information, this study intended to further investigate the correlation between lnc-HULC and miR-128-3p, as well as their clinical values for CHD management. METHODS: Totally, 141 CHD patients and 70 controls were enrolled. Lnc-HULC and miR-128-3p in peripheral blood mononuclear cells were detected by reverse transcription quantitative polymerase chain reaction (RT-qPCR). Serum inflammatory cytokines and cell adhesion molecules were further determined by enzyme-linked immunosorbent assay (ELISA) in CHD patients. RESULTS: Lnc-HULC was upregulated, while miR-128-3p was downregulated in CHD patients than in controls (both P < 0.001). The ROC curve further displayed that lnc-HULC (AUC: 0.906, 95% CI: 0.867-0.945) and miR-128-3p (AUC: 0.814, 95% CI: 0.756-0.873) had the potential of discriminating CHD patients from controls. Regarding the correlation between lnc-HULC and miR-128-3p, lnc-HULC was negatively associated with miR-128-3p in CHD patients (rs = - 0.307, P < 0.001), but this association was not observed in controls (rs = - 0.155, P = 0.199). Furthermore, it was discovered that upregulated lnc-HULC was associated with elevated blood lipid levels (TG, LDL-C), inflammatory cytokines (interleukin (IL)-1ß, IL-17A), cell adhesion molecules (VCAM-1), and Gensini score (all P < 0.05) in CHD patients. Meanwhile, miR-128-3p was negatively associated with blood lipid level (LDL-C), inflammatory cytokines (TNF-α, IL-1ß, IL-6), cell adhesion molecules (VCAM-1, ICAM-1), and Gensini score (all P < 0.05) in CHD patients. CONCLUSION: Lnc-HULC and its target miR-128-3p relate to lipid level, stenosis degree, inflammatory cytokines, and cell adhesion molecules in CHD patients.

Drug-related problems identified by clinical pharmacists in nephrology department of a tertiary hospital in China-a single center study.

BACKGROUND: There is a lack of data on drug-related problems (DRPs) occurring in nephrology department in China. The objective of this study was to identify and categorize the types and causes of DRPs and to assess their severity. DRPs were examined by clinical pharmacists and the results of their interventions were rated. METHODS: Clinical pharmacists reviewed all medication orders for patients and documented clinical pharmacy services within a nine-month study period. The Pharmaceutical Care Network Europe (PCNE) classification (Version 9.00) was used to identify DRPs. Our Primary outcomes measured the number, causes, types, potential hazards of DRPs and the types and success rate of intervention. RESULTS: Admission medication reconciliation data of 113 patients with chronic kidney disease (CKD) were collected and all of the medications were reviewed retrospectively. Exclude 26 patients who did not occurred DRPs, 87 patients (77%) identified 101 DRPs. The average DRP number per patient was 1.16. The most common type of problem was "treatment effectiveness P1" (84.16%; 85/101). The most common causes were "drug selection C1" (36.00%; 45/125), "dose selection C3" (29.60%; 37/125), and "patient related C7" (26.40%; 33/125). Clinical pharmacists totally proposed 249 interventions, of which 190 (76.31%) were fully accepted and implemented. CONCLUSIONS: DRPs are common among CKD patients in the nephrology department. Hence the necessity for pharmaceutical care to be improved to ensure the ongoing safety of patients.

Quantitative determination of allele frequency in pooled DNA by using sequencing method.

Quantitative determination of the allele frequency of single-nucleotide polymorphism (SNP) in pooled DNA samples is a promising approach to clarify the relationships between SNPs and diseases. Here, we present such a simple, accurate, and inexpensive method for quantitative determining the allele frequency in pooled DNA samples. Three steps of DNA pooling, PCR amplification and sequencing are involved in this assay. Although direct determination of the allele frequency from the two allele-specific fluorescence intensities is possible, correction for differential response of alleles is important. We explored the effect of differential response of alleles on test statistics and provide a solution to this problem based on heterozygous fluorescence intensities. We demonstrate the accuracy and reliability of this assay on pooled DNA samples with pre-determined allele frequencies from 7.1% to 53.9%. The accuracy of allele frequency measurements is high, with a correlation coefficient of r² = 0.997 between measured and known frequencies. We believe that by providing a means for SNP genotyping up to hundreds of samples simultaneously, inexpensively, and reproducibly, this method is a powerful strategy for detecting meaningful polymorphic differences in candidate gene association studies.