scholarly journals Microalbuminuria constitutes a Clinical Action Item for Clinicians in 2021

Author(s):  
Peter Rossing ◽  
Murray Epstein
Keyword(s):  
1976 ◽  
Vol 48 (12) ◽  
pp. 1175-1180 ◽  
Author(s):  
S.G. NAIR ◽  
J.A.S. GAMBLE ◽  
J.W. DUNDEE ◽  
P.J. HOWARD

1988 ◽  
Vol 153 (S3) ◽  
pp. 51-58 ◽  
Author(s):  
Malcolm Lader

The tricyclic antidepressants (TCAs) were discovered accidentally by pharmaceutical chemists seeking first, better antihistamines and then antipsychotic agents. Careful clinical assessment revealed the antidepressant properties and suggested that the closer the patient resembled the classical textbook description of ‘endogenous’ depression, the more likely was an adequate clinical response to occur (Kuhn, 1958). However, it was quickly realised that the TCAs possess a plethora of side-effects, particularly sedation and symptoms related to their anticholinergic effects.Despite much research over the past 25 years, it is unclear how TCAs effect clinical improvement. The two main neurotransmitters involved in some way are noradrenaline (Schildkraut, 1965) and 5-hydroxytryptamine (5-HT; serotonin; Van Praag, 1977). It was proposed that TCAs acted by blocking the reuptake of one or other or both of these neurotransmitters, thereby increasing their concentration in the synaptic cleft. However, as well as these acute effects, chronic effects, such as a decrease in the number of central beta-adrenoceptors (‘down-regulation’) occur, and these are probably more relevant to the clinical action.


2014 ◽  
Vol 2 (2) ◽  
pp. 020231
Author(s):  
Kiley Pulliam ◽  
Jessie Huang ◽  
Ryan Bosca ◽  
David Followill ◽  
Stephen Kry

2021 ◽  
Author(s):  
André F. Rendeiro ◽  
Charles Kyriakos Vorkas ◽  
Jan Krumsiek ◽  
Harjot Singh ◽  
Shashi Kapatia ◽  
...  

AbstractDeep understanding of the SARS-CoV-2 effects on host molecular pathways is paramount for the discovery of early biomarkers of outcome of coronavirus disease 2019 (COVID-19) and the identification of novel therapeutic targets. In that light, we generated metabolomic data from COVID-19 patient blood using high-throughput targeted nuclear magnetic resonance (NMR) spectroscopy and high-dimensional flow cytometry. We find considerable changes in serum metabolome composition of COVID-19 patients associated with disease severity, and response to tocilizumab treatment. We built a clinically annotated, biologically-interpretable space for precise time-resolved disease monitoring and characterize the temporal dynamics of metabolomic change along the clinical course of COVID-19 patients and in response to therapy. Finally, we leverage joint immuno-metabolic measurements to provide a novel approach for patient stratification and early prediction of severe disease. Our results show that high-dimensional metabolomic and joint immune-metabolic readouts provide rich information content for elucidation of the host’s response to infection and empower discovery of novel metabolic-driven therapies, as well as precise and efficient clinical action.


2013 ◽  
Vol 28 (S2) ◽  
pp. 529-535 ◽  
Author(s):  
Varsha G. Vimalananda ◽  
Donald R. Miller ◽  
Timothy P. Hofer ◽  
Robert G. Holleman ◽  
Mandi L. Klamerus ◽  
...  

MedChemComm ◽  
2018 ◽  
Vol 9 (9) ◽  
pp. 1426-1438 ◽  
Author(s):  
Georges Vauquelin
Keyword(s):  

Simulations show under which conditions increasing a drug’s kon can bring about faster clinical action.


PLoS ONE ◽  
2020 ◽  
Vol 15 (5) ◽  
pp. e0232358
Author(s):  
Matthew Sandbulte ◽  
Melinda Brown ◽  
Catherine Wexler ◽  
May Maloba ◽  
Brad Gautney ◽  
...  

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