An Efficient Morris Method-Based Framework for Simulation Factor Screening

2019 ◽  
Vol 31 (4) ◽  
pp. 745-770 ◽  
Author(s):  
Wen Shi ◽  
Xi Chen ◽  
Jennifer Shang
2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Min Kyoung Kim ◽  
Sang Cheol Park ◽  
Geonha Park ◽  
Eunjung Choi ◽  
Yura Ji ◽  
...  

AbstractThe present study introduces a systematic approach using analytical quality by design (AQbD) methodology for the development of a qualified liquid chromatographic analytical method, which is a challenge in herbal medicinal products due to the intrinsic complex components of botanical sources. The ultra-high-performance liquid chromatography-photodiode array-mass spectrometry (UHPLC-PDA-MS) technique for 11 flavonoids in Genkwa Flos was utilized through the entire analytical processes, from the risk assessment study to the factor screening test, and finally in method optimization employing central composite design (CCD). In this approach, column temperature and mobile solvent slope were found to be critical method parameters (CMPs) and each of the eleven flavonoid peaks’ resolution values were used as critical method attributes (CMAs) through data mining conversion formulas. An optimum chromatographic method in the design space was calculated by mathematical and response surface methodology (RSM). The established chromatographic condition is as follows: acetonitrile and 0.1% formic acid gradient elution (0–13 min, 10–45%; 13–13.5 min, 45–100%; 13.5–14 min, 100–10%; 14–15 min, 10% acetonitrile), column temperature 28℃, detection wavelength 335 nm, and flow rate 0.35 mL/min using C18 (50 × 2.1 mm, 1.7 μm) column. A validation study was also performed successfully for apigenin 7-O-glucuronide, apigenin, and genkwanin. A few important validation results were as follows: linearity over 0.999 coefficient of correlation, detection limit of 2.87–22.41, quantitation limit of 8.70–67.92, relative standard deviation of precision less than 0.22%, and accuracy between 100.13 and 102.49% for apigenin, genkwanin, and apigenin 7-O-glucuronide. In conclusion, the present design-based approach provide a systematic platform that can be effectively applied to ensure pharmaceutically qualified analytical data from complex natural products based botanical drug.


Circulation ◽  
2018 ◽  
Vol 137 (suppl_1) ◽  
Author(s):  
Lee A Pyles ◽  
Amy P Joseph ◽  
Matthew Armistead ◽  
Christa I Lilly ◽  
Jeff Cox ◽  
...  

Introduction: West Virginia exhibits pervasive cardiovascular disease (CVD) that may relate to a combination of ancestry and shared environment in families, including vulnerabilities related to diet, physical activity and tobacco use. Coronary Artery Risk Detection in Appalachian Communities (CARDIAC) is a school-based child risk factor screening program that has evaluated over 90,000 WV fifth graders in the past 20 years. Reverse Cascade screening for Familial Hypercholesterolemia (FH) has been difficult with the CARDIAC population. The WVU CTSI Integrated Data Repository (IDR) includes over 2 million records. Hypothesis: Linkage of child CARDIAC data to parent IDR data will allow new information discovery to inform management of CVD. Methods: We used direct demographic data linkage via Oracle with Soundex conversion of names, in the IDR, to find parents of the CARDIAC participants. Data was analyzed in the VMWare SSL environment. Results: 4759 children have a parent(s) identified. 959 mothers and 524 fathers have an LDL level from IDR. Race, BMI and gender was recorded from CARDIAC. 6.8 % of children, 40% of mothers and 44.8% of fathers have an abnormal LDL level >130 mg/dl in IDR. Positive predictive value of the abnormal child lipid level (≥130 mg/dl) is 17% for some parent (56/325) to be abnormal. 4 parents had LDL >190 mg/dl with child > 160, indicating likely FH in the pair (2.7% of pairs or 1 in 371 pairs). Conclusion: Formation of a virtual cohort of CARDIAC children and parents allows Virtual Reverse Cascade Screening to find FH. This project highlights the importance of familial tendency to hyperlipidemia that can aid detection of early lipid abnormality and cardiovascular risk in children and their young parents to promote wellness and potentially avoid early coronary artery disease. We are constructing a virtual longitudinal cohort to study CVD in WV as a part of a Learning Health System in which data management is at the forefront of healthcare improvement.


2013 ◽  
Vol 14 (3) ◽  
pp. 229-231 ◽  
Author(s):  
Michael S. Diamond ◽  
John W. Schoggins

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