P.2.d.004 Role of adenosine and adenosine A2A receptors in the antidepressant effect of amitriptyline

Sezer, Gülay; Sezer, Zafer; Tekol, Yalçin

doi:10.1016/s0924-977x(07)70533-3

Cited by 4 publications

(3 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The MD-based hidden Markov model (HMM) with multivariate Gaussian emission probabilities is built in several steps. 34,55 For R1, if the trajectory does not have enough transitions between the two sets of conformations with χ 3 ≈ ±90°, the longest sub-trajectory in one χ 3 state is extracted. We consider a transition undersampled if it occurs less than about 20 times during a microsecond-long MD trajectory.…”

Section: Hmm Modelmentioning

confidence: 99%

Trajectory-Based Simulation of EPR Spectra: Models of Rotational Motion for Spin Labels on Proteins

et al. 2019

View full text Add to dashboard Cite

Direct time-domain simulation of continuous-wave (CW) EPR spectra from molecular dynamics (MD) trajectories has become increasingly popular, especially for proteins labeled with nitroxide spin labels. Due to the time-consuming nature of simulating adequately long MD trajectories, two approximate methods have been developed to reduce the MD trajectory length required for modeling EPR spectra: hindered Brownian diffusion (HBD) and hidden Markov models (HMMs). Here, we assess the accuracy of these two approximate methods relative to direct simulations from MD trajectories for three spin-labeled protein systems (a simple helical peptide, a soluble protein, and a membrane protein) and two nitroxide spin labels with differing mobilities (R1 and TOAC). We find that the HMMs generally outperform HBD. Although R1 dynamics partially resembles hindered Brownian diffusion (HBD), HMMs accommodate the multiple dynamic timescales for the transitions between rotameric states of R1 that cannot be captured accurately by a HBD model, even when a three-angle orientational potential and recently developed estimation methods for the rotational diffusion tensor are utilized. We show that TOAC dynamics closely resembles slow multi-site exchange between twist-boat and chair ring puckering states, and we establish for the first time that this motion is modeled well by a HMM with up to four states, but not by HBD. All MD trajectory data processing, stochastic trajectory simulations, and CW EPR spectral simulations are implemented in EasySpin, a free software package for MATLAB.

show abstract

Section: Hmm Modelmentioning

confidence: 99%

Trajectory-Based Simulation of EPR Spectra: Models of Rotational Motion for Spin Labels on Proteins

et al. 2019

View full text Add to dashboard Cite

show abstract

“…Caffeine possessed antidepressant effects in many different animal models of depression. 25,46,47 However, there are reports with both negative 48 and positive outcomes 40,49 associated with depression scores in humans. High caffeine consumption among depressed people may have been a result of self-medication.…”

Section: Discussionmentioning

confidence: 99%

Caffeine-induced Augmentation of Antidepressant Therapy

Kale¹,

Addepalli

Bafna

et al. 2010

Journal of Experimental & Clinical Medicine

View full text Add to dashboard Cite

“…It was found that caffeine possessed antidepressant effects in many different animal models of depression. [7][8][9] However, the effects of caffeine use were found to be both negatively 10 and positively 11,12 associated with depression scores in human. The high caffeine consumption among depressed people may have been a result of selfmedication.…”

Section: Introductionmentioning

confidence: 99%

Caffeinated coffee enhances co-operative behavior in the Mixed Motive Game in healthy volunteers

Tse

Chan

Shiu

et al. 2009

Nutritional Neuroscience

View full text Add to dashboard Cite

Caffeinated drinks are commonly consumed in social gatherings. However, their effects on social behavior remain unclear. The present study examined the effects of caffeinated coffee on antidepressant-related co-operative behavior. Seventy-seven low-caffeine users took part in a randomized, double-blind, cross-over study of single dose of caffeinated coffee (150 mg caffeine) and decaffeinated coffee (9 mg caffeine) with at least a 3-day washout period. In each session, participants were asked to imagine a fictitious person and play the Mixed Motive Game with that person 45 min after coffee consumption. Heart rate, blood pressure, and state moods were measured at baseline and at 45 min post-coffee consumption. After caffeinated coffee, participants exhibited significantly higher blood pressure. They also allocated significantly fewer scores to themselves and sent significantly more sadness message during the game. These results suggest that caffeinated coffee may help to improve social support and depressive symptoms.

show abstract

P.2.d.004 Role of adenosine and adenosine A2A receptors in the antidepressant effect of amitriptyline

Cited by 4 publications

References 0 publications

Trajectory-Based Simulation of EPR Spectra: Models of Rotational Motion for Spin Labels on Proteins

Trajectory-Based Simulation of EPR Spectra: Models of Rotational Motion for Spin Labels on Proteins

Caffeine-induced Augmentation of Antidepressant Therapy

Caffeinated coffee enhances co-operative behavior in the Mixed Motive Game in healthy volunteers

Contact Info

Product

Resources

About