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Related Concept Videos

Drug Concentration Versus Time Correlation01:15

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The plasma drug concentration-time curve is a crucial tool in pharmacokinetics, representing the drug's concentration in plasma at different time intervals post-administration. This curve illustrates the drug's journey from absorption into the systemic circulation, distribution to body tissues, and eventual elimination through excretion or biotransformation.
Two pivotal parameters are the minimum effective concentration (MEC) and the minimum toxic concentration (MTC). The MEC is the...
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Pharmacokinetic–Pharmacodynamic Relationship: Problems01:24

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The empirical approach to drug therapy optimization relies on correlating pharmacological response with administered dosage. Such an approach can be costly, time-consuming, and often yields poor correlation due to variables like formulation factors and drug elimination characteristics. A more precise approach correlates response with plasma drug concentration or the amount of drug in the body, rather than dosage. This is achieved through pharmacokinetic-pharmacodynamic (PK/PD) modeling, which...
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In pharmaceutical development, it's crucial to establish a predictive in vitro–in vivo correlation (IVIVC) for two or more formulations to gain a comprehensive understanding of release properties. IVIVC reduces the need for costly in vivo studies and facilitates the establishment of meaningful dissolution specifications with significant cost savings and decreased regulatory burden. Furthermore, a meaningful IVIVC should predict Cmax and AUC within 20%, aligning with FDA guidance while...
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Therapeutic Drug Monitoring: Affecting Factors01:29

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Therapeutic Drug Monitoring (TDM) is the clinical practice of measuring specific drug levels in a patient's blood or body tissues to manage and optimize therapy. TDM is crucial for drugs with narrow therapeutic windows, like warfarin and phenytoin, where incorrect doses can lead to treatment failure or severe side effects. This monitoring ensures the dosage administered is within a safe and effective range. The factors affecting therapeutic drug monitoring include:Patient-Specific Factors:a.
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Therapeutic Drug Monitoring: Drug Analysis Methods01:26

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Therapeutic Drug Monitoring (TDM) is a clinical practice that measures specific drug levels in a patient's blood or body tissues to tailor drug therapy effectively. This monitoring is critical for managing drugs with narrow therapeutic indices like digoxin and phenytoin, ensuring they are both safe and effective. For instance, monitoring theophylline levels in asthma patients involves precision and sensitivity to adjust doses according to individual responses to therapy, ensuring efficacy and...
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Drug toxicity: Idiosyncratic Reactions01:16

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Idiosyncratic drug reactions represent abnormal chemical responses that vary significantly among individuals, ranging from extreme sensitivity to low doses to insensitivity to high doses. These reactions often occur due to the drug's covalent binding with serum proteins, forming a foreign hapten that triggers an immunotoxicological response. The variability in drug reactions has a strong pharmacogenetic foundation, with genetic differences crucial in how individuals metabolize drugs. For...
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Related Experiment Video

Updated: Mar 12, 2026

Diagonal Method to Measure Synergy Among Any Number of Drugs
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Cytokine correlation analysis based on drug perturbation.

Fredrik K Wallner1, Malin Hultqvist Hopkins2, Therese Lindvall2

  • 1Redoxis AB, Medicon Village, Scheelevägen 2, 223 81 Lund, Sweden; School of Bioscience, University of Skövde, 541 28 Skövde, Sweden.

Cytokine
|November 7, 2016
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Summary

This study reveals that anti-inflammatory drugs impact multiple cytokines, not just targeted ones. Understanding these cytokine co-regulations and clusters can improve drug development and diagnostic biomarker panels.

Keywords:
ClusteringCompoundPCAProfileT cell

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Area of Science:

  • Immunology
  • Pharmacology
  • Biomarker Discovery

Background:

  • Cytokines and chemokines are key regulators of the immune system.
  • Understanding their co-regulation is vital for immunology and drug development.
  • Cytokines are used as therapeutic targets and biomarkers for disease prognosis and diagnosis.

Purpose of the Study:

  • To investigate the co-regulation of 17 cytokines in a preclinical rat model of autoimmune arthritis.
  • To analyze the effects of 55 immunomodulatory drugs on cytokine production.
  • To identify correlations and clusters among cytokines affected by drug perturbations.

Main Methods:

  • Perturbation of cytokine production in a rat model of autoimmune arthritis.
  • Treatment with 55 commercially available immunomodulatory drugs and clinical candidates.
  • Correlation and cluster analysis of 17 different cytokines.

Main Results:

  • Most anti-inflammatory drugs inhibited Interleukin-2 (IL-2) and Interferon-gamma (IFN-γ) but increased other cytokines.
  • Identified 58 significant pairwise cytokine correlations, including strong links between IL-2 and IFN-γ (r=0.87) and IL-18 and EPO (r=0.84).
  • Discovered two robust cytokine clusters: (1) IL-7, IL-18, EPO and (2) IL-2, IL-17, IFN-γ.

Conclusions:

  • Cytokines exhibit significant co-regulation, influencing drug effects on cytokine networks.
  • Knowledge of cytokine clusters can inform therapeutic strategies targeting specific cytokine groups.
  • Combining related cytokines into panels may enhance diagnostic and prognostic accuracy.