scholarly journals Relationships between Endogenous Plasma Biomarkers of Constitutive Cytochrome P450 3A Activity and Single-Time-Point Oral Midazolam Microdose Phenotype in Healthy Subjects

2015 ◽  
Vol 118 (4) ◽  
pp. 284-291 ◽  
Author(s):  
Sarah J. Woolsey ◽  
Melanie D. Beaton ◽  
Yun-Hee Choi ◽  
George K. Dresser ◽  
Steven E. Gryn ◽  
...  
Keyword(s):  
Cytochrome P450 ◽  
Healthy Subjects ◽  
Cytochrome P450 3A ◽  
Plasma Biomarkers ◽  
Single Time ◽  
Oral Midazolam ◽  
Single Time Point ◽  
Time Point

Midazolam Single Time Point Concentrations to Estimate Exposure and Cytochrome P450 (CYP) 3A Constitutive Activity Utilizing Limited Sampling Strategy With a Population Pharmacokinetic Approach

2018 ◽  
Vol 58 (9) ◽  
pp. 1205-1213 ◽  
Author(s):  
Jincheng Yang ◽  
Maulik Patel ◽  
Mina Nikanjam ◽  
Edmund V. Capparelli ◽  
Shirley M. Tsunoda ◽  
...  
Keyword(s):  
Cytochrome P450 ◽  
Sampling Strategy ◽  
Population Pharmacokinetic ◽  
Constitutive Activity ◽  
Single Time ◽  
Limited Sampling ◽  
Cyp 3A ◽  
Pharmacokinetic Approach ◽  
Single Time Point ◽  
Time Point

Single Time Point Interventions in Network-Dependent Data

2018 ◽  
pp. 373-396
Author(s):  
Oleg Sofrygin ◽  
Elizabeth L. Ogburn ◽  
Mark J. van der Laan
Keyword(s):  
Dependent Data ◽  
Single Time ◽  
Single Time Point ◽  
Time Point

Pharmacokinetic Interactions of Rolapitant With Cytochrome P450 3A Substrates in Healthy Subjects

2018 ◽  
Vol 59 (4) ◽  
pp. 488-499 ◽  
Author(s):  
Xiaodong Wang ◽  
Jing Wang ◽  
Sujata Arora ◽  
Lorraine Hughes ◽  
Jennifer Christensen ◽  
...  
Keyword(s):  
Cytochrome P450 ◽  
Healthy Subjects ◽  
Cytochrome P450 3A ◽  
Pharmacokinetic Interactions

A combination of different diagnostic tools allows identification of inactive hepatitis B virus carriers at a single time point evaluation

2016 ◽  
Vol 37 (3) ◽  
pp. 362-368 ◽  
Author(s):  
Sergio Maimone ◽  
Gaia Caccamo ◽  
Giovanni Squadrito ◽  
Angela Alibrandi ◽  
Francesca Saffioti ◽  
...  
Keyword(s):  
Hepatitis B Virus ◽  
Hepatitis B ◽  
Diagnostic Tools ◽  
Point Evaluation ◽  
Single Time ◽  
B Virus ◽  
Single Time Point ◽  
Time Point

Comment on: “Technical note: Single time point dose estimate for exponential clearance” [Med. Phys. 45(5), 2318‐2324 (2018)]

2019 ◽  
Vol 46 (6) ◽  
pp. 2776-2779
Author(s):  
Ernesto Amato ◽  
Alfredo Campennì ◽  
Rosaria M. Ruggeri ◽  
Lucrezia Auditore ◽  
Sergio Baldari
Keyword(s):  
Technical Note ◽  
Single Time ◽  
Dose Estimate ◽  
Single Time Point ◽  
Time Point

scholarly journals Day-To-Day Fluctuations in Older Adults' Cognitive Functioning: Moving Beyond Single Time Point Assessments

2018 ◽  
Vol 21 ◽  
pp. S145
Author(s):  
JC Allaire ◽  
S Zhang ◽  
AA Gamaldo
Keyword(s):  
Older Adults ◽  
Cognitive Functioning ◽  
Single Time ◽  
Single Time Point ◽  
Time Point

scholarly journals Detection of symptomatic vasospasm after subarachnoid haemorrhage: initial findings from single time-point and serial measurements with arterial spin labelling

2012 ◽  
Vol 22 (11) ◽  
pp. 2382-2391 ◽  
Author(s):  
Kunihiro Aoyama ◽  
Yasutaka Fushimi ◽  
Tomohisa Okada ◽  
Akihiro Miyasaki ◽  
Hideaki Taki ◽  
...  
Keyword(s):  
Subarachnoid Haemorrhage ◽  
Arterial Spin Labelling ◽  
Single Time ◽  
Symptomatic Vasospasm ◽  
Serial Measurements ◽  
Single Time Point ◽  
Time Point ◽  
Spin Labelling

Cross-sectional imaging in patients with primary sclerosing cholangitis: Single time-point liver or spleen volume is associated with survival

2020 ◽  
Vol 132 ◽  
pp. 109331
Author(s):  
Pegah Khoshpouri ◽  
Maryam Ghadimi ◽  
Roya Rezvani Habibabadi ◽  
Mina Motaghi ◽  
Bharath Ambale Venkatesh ◽  
...  
Keyword(s):  
Primary Sclerosing Cholangitis ◽  
Sclerosing Cholangitis ◽  
Spleen Volume ◽  
Cross Sectional ◽  
Single Time ◽  
Cross Sectional Imaging ◽  
Sectional Imaging ◽  
Single Time Point ◽  
Time Point

The dynamic connectome

e-Neuroforum ◽  
2016 ◽  
Vol 22 (3) ◽  
Author(s):  
Simon Rumpel ◽  
Jochen Triesch
Keyword(s):  
Neural Circuits ◽  
Fundamental Difference ◽  
Electronic Circuits ◽  
Serial Sectioning ◽  
Dynamic Nature ◽  
Single Time ◽  
Network States ◽  
Underlying Mechanisms ◽  
Single Time Point ◽  
Time Point

AbstractWhen trying to gain intuitions about the computations implemented in neural circuits, we often use comparisons with electronic circuits. However, one fundamental difference to hard-wired electronic circuits is that the structure of neural circuits undergoes constant remodeling. Here, we discuss recent findings highlighting the dynamic nature of neural circuits and the underlying mechanisms. The dynamics of neural circuits follows rules that explain steady state statistics of synaptic properties observed at a single time point. Interestingly, these rules allow the prediction of future network states and extend the insights gained from serial sectioning electron microscopy of brain samples, which inherently provides information from only a single time point. We argue how the connectome’s dynamic nature can be reconciled with stable functioning and long-termmemory storage and how it may even benefit learning.

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