A rapid, cost-effective screening tool for measuring Chl-a in water samples

2017 ◽  
Vol 33 (3) ◽  
pp. 217-222
Author(s):  
Tiffany Trent ◽  
John Hendrickson ◽  
Matthew C. Harwell
Keyword(s):  
Water Samples ◽  
Screening Tool ◽  
Cost Effective ◽  
Effective Screening ◽  
Chl A

scholarly journals Using Audiometry to Track Atherosclerosis: Measuring a Beneficial Effect of Methotrexate in Rheumatoid Arthritis

2020 ◽  
pp. 110-117
Author(s):  
Kylie Greenwald ◽  
Maria Greenwald ◽  
JoAnn Ball
Keyword(s):  
Rheumatoid Arthritis ◽  
Hearing Loss ◽  
General Population ◽  
Hearing Aids ◽  
Screening Tool ◽  
Cost Effective ◽  
The Elderly ◽  
Effective Screening ◽  
History Of ◽  
Age Range

Objectives: To correlate audiometry with atherosclerosis. Presbycusis is associated with age and atherosclerosis; a strong correlation might present opportunities to use audiometry to track atherosclerosis disease. Design: The authors tested 87 elderly patients with rheumatoid arthritis (age range: 80–101 years; median: 86 years) with a history of methotrexate use for over 20 years. After 50 years of age, hearing loss begins slowly and by the age of 90, the majority of the general population require hearing aids. In the 87 elderly participants, however, hearing was remarkably preserved. Results: The observed cohort of 87 individuals showed better hearing than predicted compared to audiometry historically documented in the elderly (p<0.001). The patients tested one to two decades younger than expected on audiometry and 44% of patients qualified for hearing aids instead of the expected 80%, based on age. Conclusion: The known reduction in atherosclerosis with methotrexate use in rheumatoid arthritis may account for this observed preservation of hearing.1,2 As hearing and atherosclerosis are related, the authors further postulated that routine audiometry may provide a cost-effective screening tool for other populations in future atherosclerosis studies.

ROS1 immunohistochemistry as a screening tool for detection of ROS1 rearrangement in non-small cell lung cancer: Comparison between SP384 and D4D6 clones.

2020 ◽  
Vol 38 (15_suppl) ◽  
pp. e21733-e21733
Author(s):  
Yi-wen Chang ◽  
Yun-hsin Liang ◽  
Li-rung Liao ◽  
Yi-chen Yeh ◽  
Teh-Ying Chou
Keyword(s):  
Lung Cancer ◽  
Small Cell Lung Cancer ◽  
Cell Lung Cancer ◽  
Screening Tool ◽  
Cost Effective ◽  
Small Cell ◽  
P Value ◽  
Small Cell Lung ◽  
Effective Screening ◽  
Ros1 Rearrangement

e21733 Background: ROS1 rearrangement occurs in approximately 1%-2% of non-small cell lung cancer, and it is predictive of treatment response to tyrosine kinase inhibitor. The gold standard method to detect ROS1 rearrangement is break-apart fluorescence in situ hybridization (FISH). ROS1 immunohistochemistry has been proposed as a cost-effective screening test for detection of ROS1 rearrangement. Most studies about the correlation between ROS1 FISH and immunohistochemistry derived from the D4D6 clone anti-ROS1 antibody. Recently, a novel anti-ROS1 antibody (SP384 clone) is available. However, data regarding the performance of this new anti-ROS1 antibody is still limited. In this study, we evaluated the performance of these two anti-ROS1 antibody as a screening tool to detect ROS1 rearrangement. Methods: Two hundred non-small cell lung cancers, including 18 ROS1 FISH-positive and 182 ROS1 FISH-negative samples, were studied. All specimens were stained with D4D6 clone and SP384 clone anti-ROS1 antibodies. The stained slides were scored by a pathologist using the H-score method, which was defined as the sum of products of multiplying intensity (0, 1, 2, and 3) by extent of each staining intensity (%). Receiver Operating Characteristics (ROC) curves were used to determine the optimal cut-off value that discriminates between ROS1-rearranged and non-rearranged tumors. Results: There was high correlation between the H-score of D4D6 clone and SP384 clone (Spearman's rho correlation coefficient = 0.862, P-value < 0.001). The SP384 clone showed a higher H-score than D4D6 clone (Wilcoxon signed rank test, P-value < 0.001). ROC analysis showed H-score of ≥ 150 was the optimal cut-off value for both D4D6 clone and SP384 clone to discriminate between ROS1-rearranged and non-rearranged tumors. Using this cut-off value, the D4D6 clone showed 100% sensitivity and 96.7% specificity; the SP384 clone showed 100% sensitivity and 95.1% specificity. The areas under ROC curve for D4D6 clone and SP384 clone were 0.992 and 0.990, respectively. Conclusions: The performance of D4D6 clone or SP384 clone is comparable. ROS1 IHC with either D4D6 clone or SP384 clone is a cost-effective screening tool for the presence of ROS1 rearrangements. [Table: see text]

scholarly journals Molecular Inversion Probe-Based Sequencing of USH2A Exons and Splice Sites as a Cost-Effective Screening Tool in USH2 and arRP Cases

2021 ◽  
Vol 22 (12) ◽  
pp. 6419
Author(s):  
Janine Reurink ◽  
Adrian Dockery ◽  
Dominika Oziębło ◽  
G. Jane Farrar ◽  
Monika Ołdak ◽  
...  
Keyword(s):  
Screening Tool ◽  
Usher Syndrome ◽  
Copy Number Variants ◽  
Genetic Diagnosis ◽  
Cost Effective ◽  
Single Nucleotide Variants ◽  
Effective Screening ◽  
Pathogenic Variants ◽  
Future Therapy ◽  
Molecular Inversion Probe

A substantial proportion of subjects with autosomal recessive retinitis pigmentosa (arRP) or Usher syndrome type II (USH2) lacks a genetic diagnosis due to incomplete USH2A screening in the early days of genetic testing. These cases lack eligibility for optimal genetic counseling and future therapy. USH2A defects are the most frequent cause of USH2 and are also causative in individuals with arRP. Therefore, USH2A is an important target for genetic screening. The aim of this study was to assess unscreened or incompletely screened and unexplained USH2 and arRP cases for (likely) pathogenic USH2A variants. Molecular inversion probe (MIP)-based sequencing was performed for the USH2A exons and their flanking regions, as well as published deep-intronic variants. This was done to identify single nucleotide variants (SNVs) and copy number variants (CNVs) in 29 unscreened or partially pre-screened USH2 and 11 partially pre-screened arRP subjects. In 29 out of these 40 cases, two (likely) pathogenic variants were successfully identified. Four of the identified SNVs and one CNV were novel. One previously identified synonymous variant was demonstrated to affect pre-mRNA splicing. In conclusion, genetic diagnoses were obtained for a majority of cases, which confirms that MIP-based sequencing is an effective screening tool for USH2A. Seven unexplained cases were selected for future analysis with whole genome sequencing.

scholarly journals Multispectral Remote Sensing Utilization for Monitoring Chlorophyll-a Levels in Inland Water Bodies in Jordan

2020 ◽  
Vol 2020 ◽  
pp. 1-14
Author(s):  
Nidal M. Hussein ◽  
Mohammed N. Assaf
Keyword(s):  
Water Quality ◽  
Water Samples ◽  
Cost Effective ◽  
Water Quality Monitoring ◽  
Predictive Capability ◽  
Inland Water ◽  
Chl A ◽  
Multispectral Satellite Images ◽  
Inland Water Body ◽  
Future Work

This study focuses on the utilization of multispectral satellite images for remote water-quality evaluation of inland water body in Jordan. The geophysical parameters based on water’s optical properties, due to the presence of optically active constituents, are used to determine contaminant level in water. It has a great potential to be employed for continuous and cost-effective water-quality monitoring and leads to a reliable regularly updated tool for better water sector management. Three sets of water samples were collected from three different dams in Jordan. Chl-a concentration of the water samples was measured and used with corresponding Sentinel 2 surface reflectance (SR) data to develop a predictive model. Chl-a concentrations and corresponding SR data were used to calibrate and validate different models. The predictive capability of each of the investigated models was determined in terms of determination coefficient (R2) and lowest root mean square error (RMSE) values. For the investigated sites, the B3/B2 (green/blue bands) model and the Ln (B3/B2) model showed the best overall predictive capability of all models with the highest R2 and the lowest RMSE values of (0.859, 0.824) and (30.756 mg/m3, 29.787 mg/m3), respectively. The outcome of this study on selected sites can be expanded for future work to cover more sites in the future and ultimately cover all sites in Jordan.

Sign in / Sign up

Export Citation Format

Share Document