Experimental confounding factors affecting stability, transport and metabolism of flavanols and hydroxycinnamic acids in Caco-2 cells

2020 ◽  
Vol 129 ◽  
pp. 108797 ◽  
Author(s):  
M. Gómez-Juaristi ◽  
B. Sarria ◽  
L. Goya ◽  
L. Bravo-Clemente ◽  
R. Mateos
2017 ◽  
Vol 59 ◽  
pp. 33-40 ◽  
Author(s):  
Andrew Keeling ◽  
Jinhua Wu ◽  
Marco Ferrari

1996 ◽  
Vol 86 (1) ◽  
pp. 43-50 ◽  
Author(s):  
James Montoya-Lerma ◽  
Richard P. Lane

AbstractPrevious studies have shown the sandfly Lutzomyia evansi to be the vector of Leishmania chagasi in northern Colombia. A longitudinal survey during seven months on the host preference of Lutzomyia evansi was conducted in the visceral leishmaniasis focus of San Andrés de Sotavento, Colombia. Host preference was determined by presenting sandflies with a choice of three baits (human, and the reservoirs dog and opossum) and a blank control in specially designed cone traps. A rotational experimental design involved 56 trap nights in which the effect of bait, proximity to forest and season could be distinguished from the potentially confounding factors of site and day to day variation. From a total of 598 sandflies caught during all experiments, females and males of Lutzomyia evansi accounted for 93.8% of the captures in the baited traps. Overall, human attracted the greatest number of sand flies, followed by the other two baits. Attraction and feeding success showed significant differences (P < 0.0001) between baits.


Author(s):  
xinru wan ◽  
Chaoyuan Cheng ◽  
zhibin zhang

The COVID-19 novel virus, as an emerging highly pathogenic agent, has caused a pandemic. Revealing the influencing factors affecting transmission of COVID-19 is essential to take effective control measures. Several previous studies suggested that the spread of COVID-19 was likely associated with temperature and/or humidity. But, a recent extensive review indicated that conclusions on associations between climate and COVID-19 were elusive with high uncertainty due to caveats in most previous studies, such as limitations in time and space, data quality and confounding factors. In this study, by using a more extensive global dataset covering 578 time series from China, USA, Europe and the rest of the world, we show that climate show distinct impacts on early and late transmission of COVID-19 in the world after excluding the confounding factors. The early transmission ability of COVID-19 peaked around 6.3°C without or with little human intervention, but the later transmission ability was reduced in high temperature conditions under human intervention, probably driven by increased control efficiency of COVID-19. The transmission ability was positively associated with the founding population size of early reported cases and population size of a location. Our study suggested that with the coming summer seasons, the transmission risk of COVID-19 would increase in the high-latitude or high-altitude regions but decrease in low-latitude or low-altitude regions; human intervention is essential in containing the spread of COVID-19 around the world.


2014 ◽  
Vol 20 (2) ◽  
pp. S265-S266 ◽  
Author(s):  
Sahika Zeynep Aki ◽  
Yoshihiro Inamoto ◽  
Barry E. Storer ◽  
Paul A. Carpenter ◽  
Stephanie J. Lee ◽  
...  

2010 ◽  
Vol 2010 ◽  
pp. 1-11 ◽  
Author(s):  
Maria Bjerke ◽  
Erik Portelius ◽  
Lennart Minthon ◽  
Anders Wallin ◽  
Henrik Anckarsäter ◽  
...  

Background. Patients afflicted with Alzheimer's disease (AD) exhibit a decrease in the cerebrospinal fluid (CSF) concentration of the 42 amino acid form ofβ-amyloid (Aβ42). However, a high discrepancy between different centers in measuredAβ42levels reduces the utility of this biomarker as a diagnostic tool and in monitoring the effect of disease modifying drugs. Preanalytical and analytical confounding factors were examined with respect to their effect on the measuredAβ42level.Methods. Aliquots of CSF samples were either treated differently prior toAβ42measurement or analyzed using different commercially available xMAP or ELISA assays.Results. Confounding factors affecting CSFAβ42levels were storage in different types of test tubes, dilution with detergent-containing buffer, plasma contamination, heat treatment, and the origin of the immunoassays used for quantification.Conclusion. In order to conduct multicenter studies, a standardized protocol to minimize preanalytical and analytical confounding factors is warranted.


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