Publications by authors named "D V Davydov"

Article Synopsis
  • * The research highlights how imbalances in cardiac preload and afterload affect blood pressure regulation in chronic pain patients, leading to increased cardiac strain and reduced venous blood return.
  • * Findings suggest that this strain can increase susceptibility to tissue hypoperfusion and chronic inflammation, with potential applications for monitoring and diagnosing at-risk individuals through wearable technology.
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Article Synopsis
  • The study investigates how different P450 enzymes interact and affect drug metabolism changes due to alcohol by analyzing samples from 23 human liver donors with known alcohol consumption histories.
  • Findings show a strong link between alcohol exposure and the metabolism rate of ketamine and amitriptyline, highlighting the increased importance of low-affinity enzymes post-alcohol consumption.
  • The research indicates that while CYP3A4 is the main enzyme for metabolizing both drugs, several other enzymes displayed no positive correlation or even negative correlations with ketamine metabolism.
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Previous research suggested that exposure to long-lasting or repeated laboratory stressors may lead to rearrangement of cardiovascular control, with a shift of regulation mechanisms from dominant cardiac to dominant vascular influences between the early and late response phases, respectively. This study investigated whether similar rearrangement occurs during life stress accompanying chronic disease by analyzing also associations between cortisol level and cardiovascular variables in patients with fibromyalgia (FM). In 47 women with FM and 36 healthy women (HW), cardiovascular recordings were taken during active body posture changes (sitting, lying down, and standing).

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We examined the effect of alcohol consumption and smoking on the abundance of drug-metabolizing enzymes and transporters (DMET) in human liver microsomes (HLM) isolated from liver tissues of 94 donors. Global proteomics analysis was performed and DMET protein levels were analyzed in relation to alcohol consumption levels, smoking history, and sex using non-parametric tests (p-value ≤ 0.05; cutoff of 1.

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